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Arm DevSummit 2020 debuted this week (October 6 – 8) as an online virtual conference focused on engineers and providing them with insights into the Arm ecosystem. The summit lasted three days over which Arm painted an interesting technology story about the current and future state of computing and where developers fit within that story. I’ve been attending Arm Techcon for more than half a decade now (which has become Arm DevSummit) and as I perused content, there were several take-a-ways I noticed for developers working on microcontroller based embedded systems. In this post, we will examine these key take-a-ways and I’ll point you to some of the sessions that I also think may pique your interest.

(For those of you that aren’t yet aware, you can register up until October 21st (for free) and still watch the conferences materials up until November 28th . Click here to register)

Take-A-Way #1 – Expect Big Things from NVIDIAs Acquisition of Arm

As many readers probably already know, NVIDIA is in the process of acquiring Arm. This acquisition has the potential to be one of the focal points that I think will lead to a technological revolution in computing technologies, particularly around artificial intelligence but that will also impact nearly every embedded system at the edge and beyond. While many of us have probably wondered what plans NVIDIA CEO Jensen Huang may have for Arm, the Keynotes for October 6th include a fireside chat between Jensen Huang and Arm CEO Simon Segars. Listening to this conversation is well worth the time and will help give developers some insights into the future but also assurances that the Arm business model will not be dramatically upended.

Take-A-Way #2 – Machine Learning for MCU’s is Accelerating

It is sometimes difficult at a conference to get a feel for what is real and what is a little more smoke and mirrors. Sometimes, announcements are real, but they just take several years to filter their way into the market and affect how developers build systems. Machine learning is one of those technologies that I find there is a lot of interest around but that developers also aren’t quite sure what to do with yet, at least in the microcontroller space. When we hear machine learning, we think artificial intelligence, big datasets and more processing power than will fit on an MCU.

There were several interesting talks at DevSummit around machine learning such as:

Some of these were foundational, providing embedded developers with the fundamentals to get started while others provided hands-on explorations of machine learning with development boards. The take-a-way that I gather here is that the effort to bring machine learning capabilities to microcontrollers so that they can be leveraged in industry use cases is accelerating. Lots of effort is being placed in ML algorithms, tools, frameworks and even the hardware. There were several talks that mentioned Arm’s Cortex-M55 architecture that will include Helium technology to help accelerate machine learning and DSP processing capabilities.

Take-A-Way #3 – The Constant Need for Reinvention

In my last take-a-way, I eluded to the fact that things are accelerating. Acceleration is not just happening though in the technologies that we use to build systems. The very application domain that we can apply these technology domains to is dramatically expanding. Not only can we start to deploy security and ML technologies at the edge but in domains such as space and medical systems. There were several interesting talks about how technologies are being used around the world to solve interesting and unique problems such as protecting vulnerable ecosystems, mapping the sea floor, fighting against diseases and so much more.

By carefully watching and listening, you’ll notice that many speakers have been involved in many different types of products over their careers and that they are constantly having to reinvent their skill sets, capabilities and even their interests! This is what makes working in embedded systems so interesting! It is constantly changing and evolving and as engineers we don’t get to sit idly behind a desk. Just as Arm, NVIDIA and many of the other ecosystem partners and speakers show us, technology is rapidly changing but so are the problem domains that we can apply these technologies to.

Take-A-Way #4 – Mbed and Keil are Evolving

There are also interesting changes coming to the Arm toolchains and tools like Mbed and Keil MDK. In Reinhard Keil’s talk, “Introduction to an Open Approach for Low-Power IoT Development“, developers got an insight into the changes that are coming to Mbed and Keil with the core focus being on IoT development. The talk focused on the endpoint and discussed how Mbed and Keil MDK are being moved to an online platform designed to help developers move through the product development faster from prototyping to production. The Keil Studio Online is currently in early access and will be released early next year.

(If you are interested in endpoints and AI, you might also want to check-out this article on “How Do We Accelerate Endpoint AI Innovation? Put Developers First“)

Conclusions

Arm DevSummit had a lot to offer developers this year and without the need to travel to California to participate. (Although I greatly missed catching up with friends and colleagues in person). If you haven’t already, I would recommend checking out the DevSummit and watching a few of the talks I mentioned. There certainly were a lot more talks and I’m still in the process of sifting through everything. Hopefully there will be a few sessions that will inspire you and give you a feel for where the industry is headed and how you will need to pivot your own skills in the coming years.

Originaly posted here

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SSE Airtricity employees Derek Conty, left, Francie Byrne, middle, and Ryan Doran, right, install solar panels on the roof of Kinsale Community School in Kinsale, Ireland. The installation is part of a project with Microsoft to demonstrate the feasibility of distributed power purchase agreements. Credit: Naoise Culhane

by John Roach

Solar panels being installed on the roofs of dozens of schools throughout Dublin, Ireland, reflect a novel front in the fight against global climate change, according to a senior software engineer and a sustainability lead at Microsoft.

The technology copmpany partnered with SSE Airtricity, Ireland's largest provider of 100% green energy and a part of FTSE listed SSE Group, to install and manage the internet-connected solar panels, which are connected via Azure IoT to Microsoft Azure, a cloud computing platform.

The software tools aggregate and analyze real-time data on energy generated by the solar panels, demonstrating a mechanism for Microsoft and other corporations to achieve sustainability goals and reduce the carbon footprint of the electric power grid.

"We need to decarbonize the global economy to avoid catastrophic climate change," said Conor Kelly, the software engineer who is leading the distributed solar energy project for Microsoft Azure IoT. "The first thing we can do, and the easiest thing we can do, is focus on electricity."

Microsoft's $1.1 million contribution to the project builds on the company's ongoing investment in renewable energy technologies to offset carbon emissions from the operation of its datacenters.

A typical approach to power datacenters with renewable energy is for companies such as Microsoft to sign so-called power purchase agreements with energy companies.The agreements provide financial guarantees needed to build industrial-scale wind and solar farms and connections to the power grid.

The new project demonstrates the feasibility of agreements to install solar panels on rooftops distributed across towns with existing grid connections and use internet of things, or IoT, technologies to aggregate the accumulated energy production for carbon offset accounting.

"It utilizes existing assets that are sitting there unmonetized, which are roofs of buildings that absorb sunlight all day," Kelly said.

New Business Model

The project is also a proof-of-concept, or blueprint, for how energy providers can adapt as the falling price of solar panels enables distributed electric power generation throughout the existing electric power grid.

Traditionally, suppliers purchase power from central power plants and industrial-scale wind and solar farms and sell it to consumers on the distribution grid. Now, energy providers like SSE Airtricity provide renewable energy solutions that allow end consumers to generate power, from sustainable sources, using the existing grid connection on their premises.

"The more forward-thinking energy providers that we are working with, like SSE Airtricity, identify this as an opportunity and industry changing shift in how energy will be generated and consumed," Kelly noted.

The opportunity comes in the ability to finance the installation of solar panels and batteries at homes, schools, businesses and other buildings throughout a community and leverage IoT technology to efficiently perform a range of services from energy trading to carbon offset accounting.

Kelly and his team with Azure IoT are working with SSE Airtricity to develop the tools and machine learning models necessary to unlock this opportunity.

"Instead of having utility scale solar farms located outside of cities, you could have a solar farm at the distribution level, spread across a number of locations," said Fergal Ahern, a business energy solutions manager and renewable energy expert with SSE Airtricity.

For the distributed power purchase agreement, SSE Airtricity uses Azure IoT to aggregate the generation of all the solar panels installed across 27 schools around the provinces of Leinster, Munster and Connacht and run it through a machine learning model to determine the carbon emissions that the solar panels avoid.

The schools use the electricity generated by the solar panels, which reduces their utility bills; Microsoft receives the renewable energy credits for the generated electricity, which the company applies to its carbon neutrality commitments.

The panels are expected to produce enough energy annually to power the equivalent of 68 Irish homes for a year and abate more than 2.1 million kilograms, which is equivalent to 4.6 million pounds, of carbon dioxide emissions over the 15 years of the agreement, according to Kelly.

"This is additional renewable energy that wouldn't have otherwise happened," he said. "Every little bit counts when it comes to meeting our sustainability targets and combatting climate change."

Every little bit counts

Victory Luke, a 16 year old student at Collinstown Park Community College in Dublin, has lived by the "every little bit counts" mantra since she participated in a "Generation Green" sustainability workshop in 2019 organized by the Sustainable Energy Authority of Ireland, SSE Airtricity and Microsoft.

The workshop was part of an education program surrounding the installation of solar panels and batteries at her school along with a retrofit of the lighting system with LEDs. Digital screens show the school's energy use in real time, allowing students to see the impact of the energy efficiency upgrades.

Luke said the workshop captured her interest on climate change issues. She started reading more about sustainability and environmental conservation and agreed to share her newfound knowledge with the younger students at her school.

"I was going around and talking to them about energy efficiency, sharing tips and tricks like if you are going to boil a kettle, only boil as much water as you need, not too much," she explained.

That June, the Sustainable Energy Authority of Ireland invited her to give a speech at the Global Conference on Energy Efficiency in Dublin, which was organized by the International Energy Agency, an organization that works with governments and industry to shape sustainable energy policy.

"It kind of felt surreal because I honestly felt like I wasn't adequate enough to be speaking about these things," she said, noting that the conference attendees included government ministers, CEOs and energy experts from around the world.

At the time, she added, the global climate strike movement and its youth leaders were making international headlines, which made her advocacy at school feel even smaller. "Then I kind of realized that it is those smaller things that make the big difference," she said.

SSE Airtricity and Microsoft plan to replicate the educational program that inspired Luke and her classmates at dozens of the schools around Ireland that are participating in the project.

"When you've got solar at a school and you can physically point at the installation and a screen that monitors the power being generated, it brings sustainability into daily school life," Ahern said.

Proof of concept for policymakers

The project's education campaign extends to renewable energy policymakers, Kelly noted. He explained that renewable energy credits—a market incentive for corporations to support renewable energy projects—are currently unavailable for distributed power purchase agreements.

For this project, Microsoft will receive genuine renewable energy credits from a wind farm that SSE Airtricity also operates, he added.

"And," he said, "we are hoping to use this project as an example of what regulation should look like, to say, 'You need to award renewable energy credits to distributed generation because they would allow corporates to scale-up this type of project.'"

For her part, Luke supports steps by multinational corporations such as Microsoft to invest in renewable energy projects that address global climate change.

"It is a good thing to see," she said. "Once one person does something, other people are going to follow.

Originaly posted HERE

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An edge device is the network component that is responsible for connecting a local area network to an external or wide area network, which can be accessed from anywhere. Edge devices offer several new services and improved outcomes for IoT deployments across all markets. Smart services that rely on high volumes of data and local analysis can be deployed in a wide range of environments.

Edge device provides the local data to an external network. If protocols are different in local and external networks, it also translates this information, and make the connection between both network boundaries. Edge devices analyze diagnostics and automatic data populating; however, it is necessary to make a secure connection between the field network and cloud computing. In the event of loss of internet connection or cloud crash edge device will store data until the connection is established, so it won’t lose any process information. The local data storage is optional and not all edge devices offer local storage, it depends on the application and service required to implement on the plant.

How does an edge device work?

An edge device has a very straightforward working principle, it communicates between two different networks and translates one protocol into another. Furthermore, it creates a secure connection with the cloud.

An edge device can be configured via local access and internet or cloud. In general, we can say an edge device is a plug-and-play, its setup is simple and does not require much time to configure.

Why should I use an edge device?

Depending on the service required in the plant, the edge devices will be a crucial point to collect the information and create an automatic digital twin of your device in the cloud. 

Edge devices are an essential part of IoT solutions since they connect the information from a network to a cloud solution. They do not affect the network but only collect the data from it, and never cause a problem with the communication between the control system and the field devices. by using an edge device to collect information, the user won’t need to touch the control system. Edge is one-way communication, nothing is written into the network, and data are acquired with the highest possible security.

Edge device requirements

Edge devices are required to meet certain requirements that are to meet at all conditions to perform in different secretions. This may include storage, network, and latency, etc.

Low latency

Sensor data is collected in near real-time by an edge server. For services like image recognition and visual monitoring, edge servers are located in very close proximity to the device, meeting low latency requirements. Edge deployment needs to ensure that these services are not lost through poor development practice or inadequate processing resources at the edge. Maintaining data quality and security at the edge whilst enabling low latency is a challenge that need to address.

Network independence

IoT services do not care for data communication topology.  The user requires the data through the most effective means possible which in many cases will be mobile networks, but in some scenarios, Wi-Fi or local mesh networking may be the most effective mechanism of collecting data to ensure latency requirements can be met.

Good-Edge-IOT-Device-1024x576.jpg

Data security

Users require data at the edge to be kept secure as when it is stored and used elsewhere. These challenges need to meet due to the larger vector and scope for attacks at the edge. Data authentication and user access are as important at the edge as it is on the device or at the core.  Additionally, the physical security of edge infrastructure needs to be considered, as it is likely to hold in less secure environments than dedicated data centers.

Data Quality

Data quality at the edge is a key requirement to guarantee to operate in demanding environments. To maintain data quality at the edge, applications must ensure that data is authenticated, replicated as and assigned into the correct classes and types of data category.

Flexibility in future enhancements

Additional sensors can be added and managed at the edge as requirements change. Sensors such as accelerometers, cameras, and GPS, can be added to equipment, with seamless integration and control at the edge.

Local storage

Local storage is essential in the event of loss of internet connection or cloud crash edge device will store data until the connection is established, so it won’t lose any process information. The local data storage is optional and not all edge devices offer local storage, it depends on the application and service required to implement on the plant

Originaly Posted here

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Impact of IoT in Inventory

Internet of Things (IoT) has revolutionized many industries including inventory management. IoT is a concept where devices are interconnected via the internet. It is expected that by 2020, there will be 26 billion devices connected worldwide. These connections are important because it allows data sharing which then can perform actions to make life and business more efficient. Since inventory is a significant portion of a company’s assets, inventory data is vital for an accounting department for the company’s asset management and annual report.

Inventory solutions based on IoT and RFID, individual inventory item receives an RFID tag. Each tag has a unique identification number (ID) that contains information about an inventory item, e.g. a model, a batch number, etc. these tags are scanned by RF reader. Upon scanning, a reader extracts its IDs and transmits them to the cloud for processing. Along with the tag’s ID, the cloud receives location and the time of reading. This data is used for updates about inventory items’, allowing users to monitor the inventory from anywhere, in real-time.

Industrial IoT

The role of IoT in inventory management is to receive data and turn it into meaningful insights about inventory items’ location, status, and giving users a corresponding output. For example, based on the data, and inventory management solution architecture, we can forecast the number of raw materials needed for the upcoming production cycle. The output of the system can also send an alert if any individual inventory item is lost.

Moreover, IoT based inventory management solutions can be integrated with other systems, i.e. ERP and share data with other departments.

RFID in Industrial IoT

RFID consist of three main components tag, antenna, and a reader

Tags: An RFID tag carries information about a specific object. It can be attached to any surface, including raw materials, finished goods, packages, etc.

RFID antennas: An RFID antenna receives signals to supply power and data for tags’ operation

RFID readers: An RFID reader, uses radio signals to read and write to the tags. The reader receives data stored in the tag and transmits it to the cloud.

Benefits of IoT in inventory management

The benefits of IoT on the supply chain are the most exciting physical manifestations we can observe. IoT in the supply chain creates unparalleled transparency that increases efficiencies.

Inventory tracking

The major benefit of inventory management is asset tracking, instead of using barcodes to scan and record data, items have RFID tags which can be registered wirelessly. It is possible to accurately obtain data and track items from any point in the supply chain.

With RFID and IoT, managers don’t have to spend time on manual tracking and reporting on spreadsheets. Each item is tracked and the data about it is recorded automatically. Automated asset tracking and reporting save time and reduce the probability of human error.

Inventory optimization

Real-time data about the quantity and the location of the inventory, manufacturers can reduce the amount of inventory on hand while meeting the needs of the customers at the end of the supply chain.

The data about the amount of available inventory and machine learning can forecast the required inventory which allows manufacturers to reduce the lead time.

Remote tracking

Remote product tracking makes it easy to have an eye on production and business. Knowing production and transit times, allows you to better tweak orders to suit lead times and in response to fluctuating demand. It shows which suppliers are meeting production and shipping criteria and which needs monitoring for the required outcome.

It gives visibility into the flow of raw materials, work-in-progress and finished goods by providing updates about the status and location of the items so that inventory managers see when an individual item enters or leaves a specific location.

Bottlenecks in the operations

With the real-time data about the location and the quantity, manufacturers can reveal bottlenecks in the process and pinpoint the machine with lower utilization rates. For instance, if part of the inventory tends to pile up in front of a machine, a manufacturer assumes that the machine is underutilized and needs to be seen to.

The Outcomes

The data collected by inventory management is more accurate and up-to-date. By reducing these time delays, the manufacturing process can enhance accuracy and reduce wastage. An IoT-based inventory management solution offers complete visibility on inventory by providing real-time information fetched by RFID tags. It helps to track the exact location of raw materials, work-in-progress and finished goods. As a result, manufacturers can balance the amount of on-hand inventory, increase the utilization of machines, reduce lead time, and thus, avoid costs bound to the less effective methods. This is all about optimizing inventory and ensuring anything ordered can be sold through whatever channel necessary.

Originally posted here

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Can AI Replace Firmware?

Scott Rosenthal and I go back about a thousand years; we've worked together, helped midwife the embedded field into being, had some amazing sailing adventures, and recently took a jaunt to the Azores just for the heck of it. Our sons are both big data people; their physics PhDs were perfect entrees into that field, and both now work in the field of artificial intelligence.

At lunch recently we were talking about embedded systems and AI, and Scott posed a thought that has been rattling around in my head since. Could AI replace firmware?

Firmware is a huge problem for our industry. It's hideously expensive. Only highly-skilled people can create it, and there are too few of us.

What if an AI engine of some sort could be dumped into a microcontroller and the "software" then created by training that AI? If that were possible - and that's a big "if" - then it might be possible to achieve what was hoped for when COBOL was invented: programmers would no longer be needed as domain experts could do the work. That didn't pan out for COBOL; the industry learned that accountants couldn't code. Though the language was much more friendly than the assembly it replaced, it still required serious development skills.

But with AI, could a domain expert train an inference engine?

Consider a robot: a "home economics" major could create scenarios of stacking dishes from a dishwasher. Maybe these would be in the form of videos, which were then fed to the AI engine as it tuned the weighting coefficients to achieve what the home ec expert deems worthy goals.

My first objection to this idea was that these sorts of systems have physical constraints. With firmware I'd write code to sample limit switches so the motors would turn off if at an end-of-motion extreme. During training an AI-based system would try and drive the motors into all kinds of crazy positions, banging destructively into stops. But think how a child learns: a parent encourages experimentation but prevents the youngster from self-harm. Maybe that's the role of the future developer training an AI. Or perhaps the training will be done on a simulator of some sort where nothing can go horribly wrong.

Taking this further, a domain expert could define the desired inputs and outputs, and then a poorly-paid person do the actual training. CEOs will love that. With that model a strange parallel emerges to computation a century ago: before the computer age "computers" were people doing simple math to create tables of logs, trig, ballistics, etc. A room full all labored at a problem. They weren't particularly skilled, didn't make much, but did the rote work under the direction of one master. Maybe AI trainers will be somewhat like that.

Like we outsource clothing manufacturing to Bangladesh, I could see training, basically grunt work, being sent overseas as well.

I'm not wild about this idea as it means we'd have an IoT of idiots: billions of AI-powered machines where no one really knows how they work. They've been well-trained but what happens when there's a corner case?

And most of the AI literature I read suggests that inference successes of 97% or so are the norm. That might be fine for classifying faces, but a 3% failure rate of a safety-critical system is a disaster. And the same rate for less-critical systems like factory controllers would also be completely unacceptable.

But the idea is intriguing.

Original post can be viewed here

Feel free to email me with comments.

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Edge Products Are Now Managed At The Cloud

Now more than ever, there are billions of edge products in the world. But without proper cloud computing, making the most of electronic devices that run on Linux or any other OS would not be possible.

And so, a question most people keep asking is which is the best Software-as-a-service platform that can effectively manage edge devices through cloud computing. Well, while edge device management may not be something, the fact that cloud computing space is not fully exploited means there is a lot to do in the cloud space.

Product remote management is especially necessary for the 21st century and beyond. Because of the increasing number of devices connected to the internet of things (IoT), a reliable SaaS platform should, therefore, help with maintaining software glitches from anywhere in the world. From smart homes, stereo speakers, cars, to personal computers, any product that is connected to the internet needs real-time protection from hacking threats such as unlawful access to business or personal data.

Data being the most vital asset is constantly at risk, especially if individuals using edge products do not connect to trusted, reliable, and secure edge device management platforms.

Bridges the Gap Between Complicated Software And End Users

Cloud computing is the new frontier through which SaaS platforms help manage edge devices in real-time. But something even more noteworthy is the increasing number of complicated software that now run edge devices at homes and in workplaces.

Edge device management, therefore, ensures everything runs smoothly. From fixing bugs, running debugging commands to real-time software patch deployment, cloud management of edge products bridges a gap between end-users and complicated software that is becoming the norm these days.

Even more importantly, going beyond physical firewall barriers is a major necessity in remote management of edge devices. A reliable Software-as-a-Service, therefore, ensures data encryption for edge devices is not only hackproof by also accessed by the right people. Moreover, deployment of secure routers and access tools are especially critical in cloud computing when managing edge devices. And so, developers behind successful SaaS platforms do conduct regular security checks over the cloud, design and implement solutions for edge products.

Reliable IT Infrastructure Is Necessary

Software-as-a-service platforms that manage edge devices focus on having a reliable IT infrastructure and centralized systems through which they can conduct cloud computing. It is all about remotely managing edge devices with the help of an IT infrastructure that eliminates challenges such as connectivity latency.

Originally posted here

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In the era of digitalization, IoT is fostering the upcoming revolution in mobile apps. The ways companies used to provide mobile app development are changing because of IoT. After helping thousands of corporates to deliver extraordinary user experiences, IoT is all set with some new and advanced mobile app development trends. 

The tech world is the one that is continuously evolving. Every year and each day, innovations come to light. Each of them is revolutionizing our lives in one or the other ways. From the first wheel to smart cities, humans have come a long way.

The evolution and foundation of smart cities is the result of IoT or the Internet of Things. IoT has definitely stirred quite an uproar in the digital world with the mass potential it has. It can bring everything and everyone online. 

As per the latest mobile app stats, IoT will become a more significant player in the mobile app development industry. The market share of IoT is going to increase more than double in 2021 with a staggering amount of 520 billion USD. While four years back in 2017, this number was 235 billion USD. 

Soon the IoT mobile app development will face new trends in the coming year and beyond.

Let us take a look at the top IoT mobile app development trends.

IoT App Trend #1: Cybersecurity for IoT

With an increase in the number of devices online, cybersecurity is the top priority for all businesses as IoT gains popularity. The network is expected to expand in the coming years, and so the data volume will also increase. All this draws attention to more information to protect.

IoT security will see an exponential rise as more users will store their data over the cloud. From banking details to home security, everything is easily breached if the security firewall is weak in IoT applications. 

Therefore mobile app development companies need to work upon the up-gradation of their IoT enabled mobile apps. 

IoT App Trend #2: Roaring Popularity of Smart Home Devices

When smart home devices were launched, many mocked them by calling them unrealistic toys for lazy youngsters. Now, the same people are finding it increasingly difficult to resist the charm of IoT devices. 

IoT devices are expected to be very popular in 2021 and the years to come. The reason behind their growing popularity is that the IoT devices are becoming highly intuitive and innovative. They are extended not only to the comfort of home automation but also to home security and the safety of your family.

Another great advantage of implementing smart IoT development adoption is the need to save energy. The intelligent lights or intelligent thermostats help in conserving energy, reducing bills. These reasons will lead to more and more people to adopt smart home devices.

IoT App Trend #3: Backed by AI and ML

Artificial Intelligence and Machine Learning both are thriving technologies. Both of these are the facilitators of automation. We all know how Artificial Intelligence has touched millions of lives around the globe. 

Together with IoT, AI and ML are unique data-driven technologies shaping the future of human-machine interactions. The developers set up a combination of IoT and Artificial Intelligence that helps automate the routine tasks, simplifies work, and gets the most accurate information.

IoT App Trend #4: IoT and Healthcare

With the revolution in the health-tech industry, healthcare companies are turning towards mobile platforms. IoT enabled apps to open up new opportunities to improve the medical sector.

IoT has immense applications that are already running in the healthcare field and is expected to increase by 26.2% 

Healthcare apps featuring IoT technology are expected to reform the world of medical sciences. These IoT mobile apps can even help doctors and medical professionals treat their patients even from a distance.

Smart wearables and implants will be able to record diverse parameters to keep the patient’s health in check. By integrating sensors, portable devices, and all kinds of medical equipment, real-time updates of a patient’s health can be recorded and sent to the concerned person. 

IoT App Trend #5: Edge Computing to Overtake Cloud Computing

This is a change where we have to be careful. For the past many years, IoT devices have been storing their data on cloud storage. However, the IoT developers, development services, and manufacturers have started thinking about the utility of storing, calculating, and analyzing data to the limit.

So basically this means, in place of sending the entire data from IoT devices to the cloud, the data is first transmitted to a local or nearer storage device located close to the IoT device or on the edge of the network. 

This local storage device then analyzes, sorts, filters and calculates the data and then sends all or only a part of the data to the cloud, reducing the traffic on the network avoiding any bottleneck situation.

Known as “edge computing”, this approach has several advantages if used correctly. Firstly, it helps in the better management of the large amount of data that each device sends. Second, the reduced dependency on cloud storage allows devices and applications to perform faster and also reduce latency.

Being able to collect and process data locally, the IoT application is expected to consume lesser bandwidth and work even when connectivity to the cloud is affected. After seeing these positive aspects, state-of-the-art computing is looking forward to better innovation and broad adoption in IoT, both consumer and industrial.

Reduced connectivity to the cloud will also result in fewer security costs and facilitate better security practices. 2021 will see better state-of-the-art IT in IoT.

IoT App Trend #6: Are You Excited About Smart Cities?

Well, all of us are super excited to witness smart cities. Smart cities are one of the significant accomplishments of IoT and modernization. Integrated with IoT-powered devices, smart cities promise improved efficiency and security for the common folk on the streets and inside their homes.

With superfast data transfer supported by 5G, public transportation will also see a massive change in the way they work. 

By now, we know that IoT will focus on developing smart parking lots, street lights, and traffic controls. To add up to this, with IoT and fast internet, we will live inside a world where our refrigerators will be aware of what food we have inside.

IoT will impact traffic congestion and security. It will also help in the development of sustainable cities leading us to a green future.

IoT App Trend #7: Blockchain for IoT Security

Many financial and governmental institutions, entrepreneurs, consumers as well as industrialists will be decentralized, self-governing, and be quite smart. Most of the new companies are seen building their territory on the entanglement of IOTA to develop modules and other components for firms without the cost of SaaS and Cloud.

IOTA is a distributed ledger especially designed to record and execute transactions between devices in the IoT ecosystem.

If you are in this industry, then you should prepare to see the centralized and monolithic computer models that are separated in the jobs and microservices. All this will be distributed to decentralized machines and devices. 

In the coming future, IoT will penetrate the disciplines of health, government, transactions, and others that we cannot think of right now. Such types of IoT technology trends will create significant effective differences.

IoT App Trend #8: IoT for Retail Apps

The eCommerce industry will also get benefited from IoT integration. Retail supply change will be more efficient after the incorporation of IoT mobile apps. It is expected to improve the online shopping experience for individuals across the globe.

Also, IoT will make the retail experience more personalized for each customer with in-app advertisements based on the user’s shopping history. We already get notifications once we purchase a product from a particular eStore. With IoT enabled mobile apps, the app will guide us to our favorite store using in-site maps.

IoT App Trend #9- Will IoT Boost Predictive Maintenance?

Yes, it will. In 2021 and beyond, the smart home system will notify the owner about plumbing leaks, appliance failures, or any other problem so that the house owner can avoid any disaster. Soon these intelligent sensors will enter our houses.

In response to these predictive skills of IoT, we can expect to see home care offers as a contractor service. If there will be a need for any emergency action, your presence in the house will not be necessary. 

IoT App Trend #10: Easy and Better Commuting

IoT mobile applications are expected to make commuting easier for students, the elderly, the business person, and many more. Today, due to heavy traffic, commuting is a significant issue for most of us. With major innovations in technology and integration of IoT, mobile applications will make traveling a breeze for everyone.

Here are some of the conventional ways that commuting will change:

  • Smart street lights will make walking on the road safe for pedestrians
  • Finding parking spaces will be a lot easier and seamless with data-driven parking apps. 
  • In-app navigation and public transportation will definitely make public transit more reliable 
  • IoT powered mobile apps will also improve routing between different modes of transfer.

With so many innovative ideas and benefits for iOS and android based IoT mobile apps, the mobile app development market will see an influx of transportation apps in the years to come.

IoT App Trend #11: Sustainable-as-a-Service Becomes the Norm.

While talking about the IoT trends, SaaS or Sustainable-as-a-Service is considered as one of the hot topics for the estimated market. Because of the low cost of entry, SaaS is quickly getting to the top list for being the favorite firm in the IT gaming sector. 

Out of these emerging technological IoT trends, Software-as-a-service will make the lives of people better than ever.

IoT App Trend #12- Energy and Resource Management 

Do you know what affects energy management the most? Well, energy management majorly depends on the acquisition of a better understanding of how to consume resources. IoT mobile app-based electronics are expected to play a significant role in the conservation of energy. 

All of these IoT trends can be integrated into resource management, making lives more accessible, more comfortable, and responsible.

Automatic notifications can also be added to the mobile app in order to send information to the owner in case the power threshold exceeds. Various other fancy features can also be added to these IoT mobile apps such as sprinkler control, in-house temperature management, etc.

Conclusion

We all know that IoT has great potential to bring revolutionary changes in the present mobile app development industry trends. It is expected to open up immense possibilities for every business or individual related to this field. Directly or indirectly, IoT will drive the future of almost every industry.

The above mentioned are some of the trends that will dominate the IoT app development ecosystem in the years to come. Amid all these predictions and trends, the future is promising and worth the wait. 

 

 

 

 

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Industrial Prototyping for IoT

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ADLINK is a global leader in edge computing driving data-to-decision applications across industries. The company recently introduced I-Pi SMARC for Industrial IoT prototyping.

-       AdLInk I-Pi SMARC consists of a simple carrier paired with a SMARC Computer on Module

-       SMARC Modules are available from entry level PX30 Rockchip to top of the line Intel Apollo Lake.

-       SMARC modules are specifically designed for typical industrial embedded applications that require long life, high MTBF and strict revision control.

-       Use popular off the shelve sensors and create prototypes or proof of concepts on short notice.

Additional information can be found here

 

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By: Kelly McNelis

We have faced unprecedented disruption from the many challenges of COVID-19, and PTC’s LiveWorx was no exception. The definitive digital transformation event went virtual this year, and despite the transition from physical to digital, LiveWorx delivered.

Of the many insightful virtual keynotes, one that caught everyone’s attention was ‘Digital Transformation: The Technology & Support You Need to Succeed,’ presented by PTC’s Executive Vice President (EVP) of Products, Kevin Wrenn, and PTC’s EVP and Chief Customer Officer, Eduarda Camacho.

Their keynote focused on how companies should be prioritizing the use of best-in-class technology that will meet their changing needs during times of disruption and accelerated digital transformation. Wrenn and Camacho highlighted five of our customers through interactive case studies on how they are using PTC technology to capitalize on digital transformation to thrive in an era of disruption.

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Below is a summary of the five customers and their stories that were highlighted during the keynote.

1. Royal Enfield (Mass Customization)

Royal Enfield is an Indian motorcycle company that has been manufacturing motor bikes since 1901. They have British roots, and their main customer base is located in India and Europe. Riders of Royal Enfield wants their bikes to be particular to their brand, so they worked to better manage the complexities of mass customization and respond to market demands.

Royal Enfield is a long time PTC customer, but they were on old versions of PTC technology. They first upgraded Creo and Windchill to the latest releases so they could leverage the new capabilities. They then moved on to transform their processes for platform and variant designs, introduced simulation much earlier by using Creo Simulation Live, and leveraged generative design by bringing AI into engineering and applying it to engine and chassis complex custom forged components. Finally, they retrained and retooled their engineering staff to fully leverage the power of new processes and technologies.

The entire Royal Enfield team now has digital capabilities that accelerate new product designs, variants, and accessories for personalization; as a result, they are able to deliver a much-shortened design cycle. Royal Enfield is continuing their digital transformation trend, and will invest in new ways to create value while leveraging augmented reality with PTC's Vuforia suite.

2. VCST (Manufacturing Efficiency, Quality, and Innovation)

VCST is part of the BMT Group and are a world-class automotive supplier of precision-machined power train and brake components. Their problem was that they had high costs for their production facility in Belgium. They either needed to improve their cost efficiency in their plant or face the potential of needing to shut down the facility and relocate it to another region. VCST decided to implement ThingWorx so that anyone can have instant visibility to asset status and performance. VCST is also creating the ability to digitize maintenance requests and the ability to acquire about spare parts to improve the overall efficiency in support of their costs reduction goals.

Additionally, VCST has a goal to reach zero complaints for their customers and, if any quality problems appear to their customers, they can be required to do a 100% inspection until the problem is solved. Moreover, as cars have gotten quieter with electrification, the noise from the gears has become an issue, and puts pressure on VCST to innovate and reduce gear noise.

VCST has again relied on ThingWorx and Windchill to collect and share data for joint collaborative analysis to innovate and reduce gear noise. VCST also plans to use Vuforia Expert Capture and Vuforia Chalk to train maintenance workers to further improve their efficiency and cost effectiveness. The company is not done with their digital transformation, and they have plans to implement Creo and Windchill to enable end-to-end digital thread connectivity to the factory.

3. BID Group Holdings (Connected Product)

BID Group Holdings operates in the wood processing industry. It is one of the largest integrated suppliers and North American leader in the field. The purpose of BID Group is to deliver a complete range of innovative equipment, digital technologies, turnkey installations, and aftermarket services to their customers. BID Group decided to focus on their areas of expertise, an rely on PTC, Microsoft, and Rockwell Automation’s combined capabilities and scale to deliver SaaS type solutions to their own industry.

Leveraging this combined power, the BID Group developed a digital strategy for service to improve mill efficiency and profitability. The solution is named OPER8 and was built on the ThingWorx platform. This allowed BID Group to provide their customers an out of the box solution with efficient time-to-value and low costs of ownership. BID Group is continuing to work with PTC and Rockwell Automation, to develop additional solutions that will reduce downtime of OPER8 with a predictive analytics module by using ThingWorx Analytics and LogixAI.

4. Hitachi (Service Optimization)

Hitachi operates an extensive service decision that ensures its customers’ data systems remain up and running. Their challenge was not to only meet their customers uptime Service Level Agreements, but to do it without killing their cost structure. Hitachi decided to implement PTC’s Servigistics Service Parts Management software to ensure the right parts are available when and where they are needed for service. With Servigistics, Hitachi was able to accomplish their needs while staying cost effective and delighting their customers.

Hitachi runs on the cloud, which allows them to upgrade to current releases more often, take advantage of new functionality, and avoid unexpected costs.

PTC has driven engagement and support for Hitachi through the PTC Community, and encourages all customers to utilize this platform. The network of collaborative spaces in a gathering place for PTC customers and partners to showcase their work, inspire each other, and share ideas or best practices in order to expand the value of their PTC solutions and services.

5. COVID-19 Response 

COVID-19 has put significant strain on the world’s hospitals and healthcare infrastructure, and hospitalization rates for COVID brought into question the capacity of being able to handle cases. Many countries began thinking of the value field hospitals could bring to safely care for patients and ease the admissions numbers of ‘regular’ hospitals. However, the complication is that field hospitals have essentially no isolation or air filtration capability that is required for treating COVID patients or healthcare workers.

As a result, the US Army Corp of Engineers has put out specifications to create self-contained isolation units, which are fully functioning hospital rooms that can be transported or built onsite. But, the assembly needed to happen fast, and a group of companies (including PTC) led by The Innovation Machine rallied to help design and define the SCIU’s.

With buy-in from numerous companies, a common platform was needed for companies to collaborate. PTC felt compelled to react, and many PTC customers and partners joined in to help create a collaboration platform, with cloud-based Windchill as the foundation. But, PTC didn’t just provide software to this collaboration; PTC also contributed with digital thread and design advice to help the group solve some of the major challenges. This design is a result of the many companies coming together to create deployments across various US state governments, agencies, and FEMA.

Final Thoughts

All of the above customers approached digital transformation as a business imperative. They all had sizeable challenges that needed to be solved and took leadership positions to implement plans that leveraged digital transformation technologies combined with new processes.

PTC will continue to innovate across the digital transformation portfolio and is committed to ensuring that customer success offerings capture value faster and provide the best outcomes.

Original Post Link: https://www.ptc.com/en/product-lifecycle-report/liveworx-digital-transformation–technology-and-support-you-need-to-succeed

Author Bio: Kelly is a corporate communications specialist at PTC. Her responsibilities include drafting and approving content for PTC’s external and social media presence and supporting communications for the Chief Strategy Officer. Kelly has previous experience as a communications specialist working to create and implement materials for the Executive Vice President of the Products Organization and senior management team members.

 

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Helium Expands to Europe

Helium, the company behind one of the world’s first peer-to-peer wireless networks, is announcing the introduction of Helium Tabs, its first branded IoT tracking device that runs on The People’s Network. In addition, after launching its network in 1,000 cities in North America within one year, the company is expanding to Europe to address growing market demand with Helium Hotspots shipping to the region starting July 2020. 

Since its launch in June 2019, Helium quickly grew its footprint with Hotspots covering more than 700,000 square miles across North America. Helium is now expanding to Europe to allow for seamless use of connected devices across borders. Powered by entrepreneurs looking to own a piece of the people-powered network, Helium’s open-source blockchain technology incentivizes individuals to deploy Hotspots and earn Helium (HNT), a new cryptocurrency, for simultaneously building the network and enabling IoT devices to send data to the Internet. When connected with other nearby Hotspots, this acts as the backbone of the network. 

“We’re excited to launch Helium Tabs at a time where we’ve seen incredible growth of The People’s Network across North America,” said Amir Haleem, Helium’s CEO and co-founder. “We could not have accomplished what we have done, in such a short amount of time, without the support of our partners and our incredible community. We look forward to launching The People’s Network in Europe and eventually bringing Helium Tabs and other third-party IoT devices to consumers there.”  

Introducing Helium Tabs that Run on The People’s Network
Unlike other tracking devices,Tabs uses LongFi technology, which combines the LoRaWAN wireless protocol with the Helium blockchain, and provides network coverage up to 10 miles away from a single Hotspot. This is a game-changer compared to WiFi and Bluetooth enabled tracking devices which only work up to 100 feet from a network source. What’s more, due to Helium’s unique blockchain-based rewards system, Hotspot owners will be rewarded with Helium (HNT) each time a Tab connects to its network. 

In addition to its increased growth with partners and customers, Helium has also seen accelerated expansion of its Helium Patrons program, which was introduced in late 2019. All three combined have helped to strengthen its network. 

Patrons are entrepreneurial customers who purchase 15 or more Hotspots to help blanket their cities with coverage and enable customers, who use the network. In return, they receive discounts, priority shipping, network tools, and Helium support. Currently, the program has more than 70 Patrons throughout North America and is expanding to Europe. 

Key brands that use the Helium Network include: 

  • Nestle, ReadyRefresh, a beverage delivery service company
  • Agulus, an agricultural tech company
  • Conserv, a collections-focused environmental monitoring platform

Helium Tabs will initially be available to existing Hotspot owners for $49. The Helium Hotspot is now available for purchase online in Europe for €450.

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The Anti-Quality Movement

by Jack Ganssle

[email protected]

Recently our electric toothbrush started acting oddly – differently from before. I complained to Marybeth who said, “I think it’s in the wrong mode.”

Really? A toothbrush has modes?

We in the embedded industry have created a world that was unimaginable prior to the invention of the microprocessor. Firmware today controls practically everything, from avionics to medical equipment to cars to, well everything.

And toothbrushes.

But we’re working too hard at it. Too many of us use archaic development strategies that aren’t efficient. Too many of us ship code with too many errors. That's something that can, and must, change.

Long ago the teachings of Deming and Juran revolutionized manufacturing. One of Deming's essential insights was that fixing defects will never lead to quality. Quality comes from correct design rather than patches applied on the production line. And focusing on quality lowers costs.

The software industry never got that memo.

The average embedded software project devotes 50% of the schedule to debugging and testing the code. It's stunning that half of the team’s time is spent finding and fixing mistakes.

Test is hugely important. But, as Dijkstra observed, testing can only prove the presence of errors, not the absence of bugs.

Unsurprisingly, and mirroring Deming's tenets, it has repeatedly been shown that a focus on fixing bugs will never lead to a quality product - all that will do is extend the schedule and insure defective code goes out the door.

Focusing on quality has another benefit: the project gets done faster. Why? That 50% of the schedule used to deal with bugs gets dramatically shortened. We shorten the schedule by not putting the bugs in in the first place.

High quality code requires a disciplined approach to software engineering - the methodical use of techniques and approaches long known to work. These include inspection of work products, using standardized ways to create the software, seeding code with constructs that automatically catch errors, and using various tools that scan the code for defects. Nothing that is novel or unexpected, nothing that a little Googling won't reveal. All have a long pedigree of studies proving their efficacy.

Yet only one team out of 50 makes disciplined use of these techniques.

What about metrics? Walk a production line and you'll see the walls covered with charts showing efficiency, defect rates, inventory levels and more. Though a creative discipline like engineering can't be made as routine as manufacturing, there are a lot of measurements that can and must be used to understand the team's progress and the product's quality, and to drive the continuous improvement we need.

Errors are inevitable. We will ship bugs. But we need a laser-like focus on getting the code right. How right? We have metrics; we know how many bugs the best and mediocre teams ship. Defect Removal Efficiency is a well-known metric used to evaluate quality of shipped code; it's the percentage of the entire universe of bugs found in a product that were removed prior to shipping (it's measured until 90 days after release). The very best teams, representing just 0.4% of the industry, eliminates over 99% of bugs pre-shipment. Most embedded groups only removed 95%.

Where does your team stand on this scale? Can one control quality if it isn’t measured?

We have metrics about defect injection rates, about where in the lifecycle they are removed, about productivity vs. any number of parameters and much more. Yet few teams collect any numbers.

Engineering without numbers isn’t engineering. It’s art.

Want to know more about metrics and quality in software engineering? Read any of Capers Jones’ books. They are dense, packed with tables of numbers, and sometimes difficult as the narrative is not engaging, but they paint a picture of what we can measure and how differing development activities effect errors and productivity.

Want to understand where the sometimes-overhyped agile methods make sense? Read Agile! by Bertrand Meyer and Balancing Agility and Discipline by Barry Boehm and Richard Turner.

Want to learn better ways to schedule a project and manage requirements? Read any of Karl Wiegers’ books and articles.

The truth is that we know of better ways to get great software done more efficiently and with drastically reduced bug rates.

When will we start?

Jack Ganssle has written over 1000 articles and six books about embedded systems, as well as one about his sailing fiascos. He has started and sold three electronics companies. He welcomes dialog at [email protected] or at www.ganssle.com.

 

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IoT security is challenging but only few companies are taking action. Businesses are experiencing a significant rise in cyber-attacks and malwares, compromising devices and their security. In order to tackle this, Microsoft has taken considerable action and developed an end-to-end IoT solution, which is called Microsoft Azure Sphere that can safeguard the IoT devices from evolving threats.

 
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Before starting let me introduce the term IoT and why it is important to protect and How to protect or what are the various ways to protect mobile apps from cyber attacks.

Introduction to IoT( Internet of Things) :

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A Platform where embedded devices are connected to the internet where they can collect and exchange data with each other, These platform is known as IoT.
 
These enable devices to interact, learn and collaborate from each other’s experiences the same way humans do.

Reasons to protect IoT App Solutions:

Customized IoT apps deal with too many corporate data regularly. These data consist of very confidential and sensitive information about the company and its customers.
 
As the app data get collaborated, the critical data can go in the wrong hand and due to these operations of the IoT network get affected hence to keep the customized IoT app secure is necessary.
 
The data separation can direct hit on the company’s reputation that results in major financial loss.
 
Top Tips to protect the valuable IoT mobile apps from Cyber Attacks:
 
Here are some of the solutions that help you to deal with mobile apps threats and protect your app in the future.

Integrate security in the code:

These are for the developers as while developing any mobile app they need to make sure to include security framework or else hackers will find the flaws that gain the control and can easily access the application.
 
In real-time to prevent and detect attacks on the app, we need to make sure that the app is secured with Runtime application protection.
 
A breach test should be conducted regularly to identify if the app is approachable.

Proper Authentication and Identification:

Whenever there is no proper authentication in place, there is a major possibility that corporate data can easily exchange.
 
For the developers, it's mandatory that the app APIs only offer access to essential parts of apps which would result in minimizing exposure.
 
JSON is considered ideal for encrypted data exchange, whereas OpenID allows re-usage of the same testimonial within different domains.
 
For developers, big enterprises should examine tools and offers access to them for detecting and can close security exposure.

Secure Payment Transactions:

Either you are selling some products online or charging for offering different services its necessary to have a secure payment gateway.
 
To make the sensitive client transaction and payment system more secure and integrated with multi-factor encryption and authentication.

Secure the App from Backend:

By implementing security on servers and prevent unauthorized access makes the app secured and also protects the confidential data.
 
Before passing from client to the database and app’s server its necessary that APIs should be tested.
 
The effective way to secure the data and documents is containerization. Using VPN, TLS and SSL encryption will add more security. To confirm data protection can be done by referring to a network security specialist.

Implement App Transport Security - ATS: 

By securing the connection between the app and back-end server we can prevent a mobile app from cyber-attacks. 
 
Majority of consumer and enterprise app work on a single device. By enabling ATS attempts to connect the devices using insecure HTTP will fail.
 
However, hidden integration and data hacking can take place if proper security is not implemented.

Deal with unknown Threats:

As the usage of mobile devices is increasing day by day, a number of threats are evolving rapidly and in this case, it’s not possible to be prepared in an earlier stage.
 
With the help of the Open Web application security project, we can deal with mobile threats. Additionally, users can install an additional mobile security app on the device.

Some of the Consequences:

Nowadays, the biggest concern for the stakeholders is increasing the vulnerability of mobile applications at an enterprise level.
 
If you wish to build a mobile app that can protect your app from cyber attacks, viruses, spyware, and malware connect to the best cross-platform app development company that will keep the client's need on the topmost priority and lead to a successful app.
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“We won't stop until we see every vehicle on the road being electric,” said Elon Musk, the person who works to revolutionize transportation both on earth and in space. “China is about to ban the internal combustion engine,” said a mining financier, Robert Friedland. Tesla Model 3 needs approximately 65 kilograms of copper per vehicle. Cities are now demanding zero-emission buses. Whether it’s electric cars, buses, trucks, solar energy or wind energy generation – as we transit to a sustainable world, we need more copper, nickel, cobalt, lithium, platinum, palladium, zinc and aluminum. That’s why, mining products will be in huge demand. Nevertheless, in the present world, these minerals and other mining products are already a backbone for most industries.

However, just because mining products are vital to run industries and build a low-carbon future, it doesn’t mean that the society should turn a blind eye to the damages caused due to mining operations.

Concerns from communities and governments regarding the environmental effects of digging up the earth to extract metals and minerals is battering the sector. Also, current investors have become restless and new investors are reluctant to finance mining activities as mining operations have not altered significantly since decades. This puts pressure on mine owners to bring a change in traditional mining practices. Such a situation drives many mine owners to bring data-driven practices into their routine mining operations.

Like most industries, the technology that disrupts the traditional ways of mining will be a significant driver of change in mining. The goal is to make mining more effective, sparing, energy intensive and environmental-friendly.

From decades, the mining industry has been deploying PLC and SCADA systems for monitoring and controlling. But these monitoring and control systems are generally proprietary systems and offer limited interoperability with other systems. This is where IoT-based systems prove to be advantageous. IoT-based systems are based on open and highly connected Internet Protocol (IP) network structure. Such open network architectures enable current mining operations to move toward the next generation of smart mining.

Let's look at how IoT implementation empowers mine owners with its ability to transform traditional mining practices and:

Say NO to carelessness

Since the advent of mining, fires and explosions are serious safety issues. Specifically, in coal mines, spontaneous coal seam combustion turns into a catastrophe mainly due to carelessness. Besides, in the biggest coal producer nation like China, approximately 25.1% of their main coal mines are extremely gaseous mines, which after burning could lead to a disaster. Also, the environment surrounding mines can be vulnerable during combustion as massive quantities of toxic gases, including CO2, CO, SO2 and H2S, are emitted when a mine catches fire. Therefore, prevention and protection from fires is important for secured mining production as well as the global environment.

The mechanism of spontaneous combustion of the coal seam is like a typical spontaneous combustion, which requires oxygen. Hence, measuring the concentration of O2 is the key. In addition to O2, other gas contents, such as CO, CO2, N2, CH4, C2H4, C2H6, Rn and so forth, can be evaluated to detect spontaneous coal combustion at the surveillance spot.

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As shown in the image above, an IoT-based system continuously monitors the sensed values and displays them to remote users through a web dashboard. Besides, the system can send alerts to such users in the case of detecting abnormal values and it can activate mitigation devices (e.g., forced ventilation) to decrease gas concentrations smartly.

Say NO to waste of resources

There is an increasing demand of mining products, mining equipment and resources – such as conveyors, shearers, boring machines, hydraulic pump stations, hydraulic support stations, crushers, loaders, motor vehicles, water pumps and ventilation fans – to run mining operations continuously. Moreover, to increase profitability form the existing resources, mine owners need an effective and safe resource management platform that can bring resource wastage time to zero. In such situations, an IoT network can help mine owners or managers to know the locations of these expensive resources and its usage statistics. Further, the underground staff can also be monitored via an IoT network.

Dundee Precious Metals sets the best example for this. They have deployed nearly 280 wireless access points over 50 km (31 miles) of tunnels in their flagship gold mine placed in Chelopech, Bulgaria. The firm quadrupled production from 0.5 million to 2 million tons by using an IoT-based system to track miners and vehicles locations, monitor vehicles status and automate safety and maintenance operations.

An IoT-based system is not only helpful to mine owners but original equipment manufacturers (OEMs) as well. The open connectivity of IoT architecture enables OEMs to monitor their product performance in their lifetime, even after the product is sold. Such data can be used to initiate a new revenue stream and to improve product design as well.

Say NO to casualties

In the case of a calamity, miners are taught to escape from the mine first with handy self-rescue equipment and enter a refuge alternative when escaping is cut off. Refuge alternatives are designed to provide 96 hours of breathable air, food and water for underground staff. Although refuge alternatives are only planned for use in post-accident occurrences, so their functionality should be checked periodically to ensure that they are working as intended in an emergency. In addition, a system should be in place to signal the surface instantly when a refuge alternative is triggered after a calamity. One way to monitor a refuge alternative's feasibility status from the ground is to attach sensors, such as a magnetic switch sensor, air quality and temperature sensors to the door of a refuge alternative. These sensors detect the occupancy status, air quality and temperature to ensure that a refuge alternative always stays safe.

To sum up, whether you need to cut expenses, lessen downtime, increase productivity or reduce environmental footprint – an IoT-based system is the right choice.

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