When you have the responsibility of ensuring a manufacturing plant is operating at its full potential at all times, talk of “Industry 4.0” and “industrial automation like never before” might be exciting but far-fetched. Industry 4.0 is just an empty phrase used by marketers who want to take your money, right?
Maybe in some cases, but the ideas behind the buzzy terms can actually give you an edge over competitors. Industry 4.0 is not a phase, but it’s also not an obligation that you need to “opt in to” 100% right away. Industrial automation is a combined result of our greater digital capacities, smarter machines, and improved cross-channel communication that have accompanied the digital age.
In 2019, the technology is here: from decentralized cloud systemsto self-correcting and self-directing machines. However, it’s not everywhere yet, and most plants are simply taking baby steps towards preparing their lines to be as compatible as possible to these new technologies so that they can gradually work their way in. Industry is slowly moving towards a more optimized, efficient, automated structure, but this transition will be happening in the industrial world over the next few decades.
What do those “baby steps” look like? Where should begin to optimize lines in the most cost-effective, long-term ROI benefits? We have compiled a list of 5 relatively simple ways you can take this year to set your plant up for new “Industry 4.0” industrial automation technologies:
1. Integrate a Single Virtual Server
Managing the IT aspect of your plant is difficult when you need to find cost-effective storage and data processing solutions for your company that also comply with all of the regulations and contingencies of your industry. However, upgrading a server to a virtual option is probably the most important upgrade you can do to get started on the road to future industrial automation applications that use a truly decentralized communication with virtual operating system.
If your plant currently runs exclusively on physical servers, you don’t need to go virtually all at once. The wonderful thing about industry 4.0 is that much of the software integrations available will integrate with your existing hardware. You can invest in one virtual server, and then layer software integrations on to it over time.
By starting with a single server, you can cut costs, maintain a realistic learning/adaptation curve, and try out a virtual server option without committing 100% to a change. There are numerous virtual server options available, so talk to a process automation expert about what server will work best for your plant, and which server to upgrade first.
2. Get Basic Industrial Automation Security – Two-Factor Authentication
With increased adaptability and communication on virtual servers comes increased cyber threats, and unfortunately, there is no way around this. One of the easiest and fastest upgrades you can do for your company is to implement two-factor authentication (2FA) for all employees. A simple password is no longer anywhere near secure enough to protect your employees and your data.
Luckily, everything from Twitter to Cloud servers now offer 2FA options, it’s usually just a question of getting the settings implemented correctly and creating a protocol that requires every employee to use 2FA at all times. It may seem tedious or frustrating at first, but this is a small habit that can make a huge difference in your cyber security and overall functioning of your plant.
3. Make Your Next Machine Purchase a Smart Machine
You probably aren’t yet at the point of having a completely automated assembly line of smart machines that create highly customized orders while communicating with and correcting each other (like the assembly line in this German plant.) However, smart machines do exist, and if you are getting ready to purchase a new machine, finding one that has automation, optimization, and decentralized communication abilities will be a great investment in your plant’s future.
Customizable “smart machines” are virtually independent of a human operator. The ability of these machines to adapt to the demands of individualized production requirements allows for scalable, lean production processes. In other words, with these new machines, you can produce a larger variety of products faster than ever before.
If your current machines are working fine, there is no need to replace them with smart machines right away. But from this point forward, it is a good idea to consider buying a smart machine for your next upgrade. Don’t be afraid to use an automation integrator to advise you on the appropriate machine, technology, and compatibility with existing plant automation systems.
4. Implement Technology Upgrades that Overlay or Automatically Integrate Existing Plant Industrial Automation
Be choosy about the automation products you decide to implement into your current systems moving forward. You want applications that both set your systems up for future technology integrations and help move you away from expiring legacy applications.
This shouldn’t mean replacing all your old applications, programming, and platforms all at once other. Most Industry 4.0 automation tools are created in an “overlay” style, meaning they are created to be able to function on top of your existing processes and are not supposed to disrupt everything you have already built.
Embracing a new software or system should never mean that you have to throw away your existing processes and start from scratch. If this is how you feel when you are getting ready to purchase a new software, machine, or server then it probably isn’t the right product for your company.
Talking to an expert about what products will work best with your current setup is a good idea before making any changes to your industrial automation. At my company, EPIC systems, we've seen the difference that selecting the right product solutions has made for hundreds of process automation projects — it's a key step for any manufacturing plant. No matter who you work with, you don't want to bypass this step.
5. Optimize One of Your Plant’s Processes
Divide and conquer, as they say. Just as it is best to upgrade one server at a time, it is helpful to focus specifically on one plant process at a time when you are looking to optimize and automate your plant.
This could mean focusing on optimizing your shipping procedure or optimizing one assembly process. The important thing to remember is that as you do this “experimental optimization” you are not just looking for an impressive return on investment, you are also looking to get your entire team comfortable with the automation and ready to embrace even more. This is why the “how” is just as important (if not more important) than the “what” when it comes to choosing a process to optimize. Go slow, be transparent, and include everyone in the process so that it is a success all around.
Industry 4.0 is creating a world where employees can delegate mundane tasks to smart machines and rely on highly communicative, agile systems in order to work faster and more effectively than ever before. There is no reason for any manufacturing plant to be left behind in this industrial evolution, with numerous products and services available to help walk you through the industrial automation process gradually and intelligently.
The agricultural sector is in the middle of the data-driven transformation. Farmers and commodity traders are heading towards technological innovation in agriculture, adopting data analytics and smart farming technologies. Facing a crucial period in their history, agricultural businesses are tasked with combating the issues that will change not only their working methods but the world as we know it.
The agribusiness issues at hand
One of the greatest pain points associated with agriculture is the ability to predict the events that will achieve a given result.
Conditions play even less in the favour of farms positioned within markets that face rising production costs. The global population reaching 9.6 billion people by 2050, up from around 7 billion at present, according to forecasts from the United Nations, combined with the spread of economic prosperity are adding great pressure to the market. The UN suggests the doubling of crop production by 2050 as a countermeasure to this growth.
Some farmers simply cannot increase their land in order to grow more crops. As a result, there is a case for technology to make better use of the space available.
How IoT and predictive analytics can solve agriculture’s pressing problems
To become more efficient, agricultural businesses need data and plenty of it. This opens the door for technological innovation, as the size of these businesses and their plots of land prevent any kind of manual surveying.
Already we are seeing an active use of IoT devices to analyse the status of crops, capturing real-time data with sensors. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield.
The data gathered from sensors allows to apply advanced analytics and get the insight that aid decisions around harvesting, while machine learning can transform the figures into solid predictions. Using advanced analytics, agricultural businesses can forecast yields, foresee unexpected weather conditions, predict market demand and mitigate risks, as well as better plan their capacity.
Agricultural drone is also among the key components of smart farming today. Tasked with the surveying of crop and livestock conditions from up high, their use of time lapsing within onboard cameras is helping farmers identify problems in areas like irrigation, which would otherwise go undetected.
Other members of the drone family allow for the spraying of crops at a greater accuracy than a tractor. As an added benefit, this also seeks to reduce the risk of human exposure to harmful chemicals. Back to ground level, there is potential for other robots to help out with manual duties like planting, ploughing and meat production.
The end goal in this case? A more efficient, more effective farm.
To spell things out: population growth could mean that every agricultural business will have to increase their levels of productivity over the next 30 years. That said, a review of the tech on today’s market suggests even the most specific problems can be matched with smart agribusiness solutions.
In the era of smart agriculture, IoT and predictive analytics are powering more efficient operations around the world. Combining IoT with analytics, agribusinesses get accurate predictions for crops and market conditions, allowing to increase their yields and profits. Smart application of technologies can facilitate warehouse and inventory management, help plan and execute seasonal works with the automated flow of data from the fields and agro-research labs.
Get in touch to discuss where the IoT can help futureproof your own agricultural business.
Originally published at eleks.com
Iot and IIoT has made it a long way in the past several years. In fact, according to Forbes, trillions of dollars are at stake as the Industrial Internet of Things rolls out over the next decade. But, has the multi-tillion dollar trend lived up to the hype?
It could be many more years until certain industries reach the levels described in the hype. Here’s the industries you should keep your eye on when it comes to IIoT technology.
The Internet of Things and the Industrial Internet of Things (IoT and IIoT, respectfully), widely encompasses many concepts, technologies, and products, but can generally be described as:
- A system that contains wired or wirelessly connected components which relay data that can be analyzed or used to control an output of the system
- A network that allows for automated information exchange between two devices
- A vision where any and all systems are connected to gather masses of data that will lead to overall improved performance, insights, and control
As of 2018, we most commonly see IoT being used for location tracking, remote monitoring, and preventative maintenance. Yet, for IIoT the most common application is preventative maintenance. Many of these IIoT systems report back to a control interface, and are not completely automated control loops that are self-evaluating or self-improving.
There are some industries in particular that stand out when looking at the IIoT. We looked at trends that will progress through the end of 2018 into 2019, and asked the following questions.
- What industries will be most affected by IoT solutions?
According to BI Intelligence, the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries have received the highest amount of investment in IoT to date. These investments, totaling $230B between the two industries over the past few years, will continue to drive impressive progress in the development of IoT solutions.
- Who will be the key players in IIoT Solutions in 2019?
We are currently witnessing a race to capture the IIoT market. AT&T is collaborating with Honeywell, Verizon offers a machine-to-machine (M2M) management platform called ThingSpace, and startups like Uptake Technologies are raising absurd amounts of capital to compete with existing analytics giants. Uptake alone has raised $218M since 2015, and specializes in analytics of complex data sets.
Nearly all of the corporate giants you would expect to have a stake in the race are putting serious resources behind their efforts. GE is offering Predix, and end-to-end Industrial IoT Platform, and has incorporated capabilities like Predix Edge to allow for edge computing within the platform. Siemens offers their own Industrial IoT platform called MindSphere, and Bosch is also getting in on the action now offering their IoT Suite publicly available on AWS Marketplace. Further, Schneider Electric developed WonderWare and SAP offers Hana.
We expect that through 2019 we will see more partnerships develop, offering cross compatibility between the many platforms which are available today.
- What further developments in IIoT can we expect in the near future?
Security will continue to be a major focus for all providers and users of the IIoT. In a recent publication Steve Watson, CEO of VTO Labs, explains “security and specifically the ability to detect compromised nodes, together with collecting and preserving evidences of an attack or malicious activities emerge as a priority in successful deployment of IoT networks.” This ability to detect and preserve evidence of a cyber-attack will not only need to occur through edge computing, but it will also need to be maintain its integrity with interoperability of different systems that are linked together.
Given the amount of investment we are seeing in the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries we expect to see many breakthroughs in both cyber security for the IIoT and interoperability between the many IIoT platforms. Looking into 2019 we can expect to see more partnerships between major sensor providers and network providers, such as the AT&T Honeywell collaboration we saw in 2018. With more interoperability and collaboration, 2019 may be the year that we see the major breakthroughs in IIoT we’ve been expecting.
About the Author: Taylor Welsh is a writer for a Speedtronic reseller, located in Fuquay-Varina, NC. To see more, visit AX Control.
For more than a century, advances in technology, machinery and automation have oftentimes replaced humans as a means to accomplish tasks. In this podcast, Rob Tiffany tackles the unsavory topic of workforce reduction as certain tasks have evolved from manual to mobile to IoT.
Tibbo Project System (TPS) is a highly configurable, affordable, and innovative automation platform. It is ideal for home, building, warehouse, and production floor automation projects, as well as data collection, distributed control, industrial computing, and device connectivity applications.
Suppliers of traditional “control boxes” (embedded computers, PLCs, remote automation and I/O products, etc.) typically offer a wide variety of models differing in their I/O capabilities. Four serial ports and six relays. Two serial ports and eight relays. One serial port, four relays, and two sensor inputs. These lists go on and on, yet never seem to contain just the right mix of I/O functions you are looking for.
Rather than offering a large number of models, Tibbo Technology takes a different approach: Our Tibbo Project System (TPS) utilizes Tibbits® – miniature electronic blocks that implement specific I/O functions. Need three RS232 ports? Plug in exactly three RS232 Tibbits! Need two relays? Use a relay Tibbit. This module-based approach saves you money by allowing you to precisely define the features you want in your automation controller.
Here is a closer look at the process of building a custom Tibbo Project System.
Start with a Tibbo Project PCB (TPP)
A Tibbo Project PCB is the foundation of TPS devices.
Available in two sizes – medium and large – each board carries a CPU, memory, an Ethernet port, power input for +5V regulated power, and a number of sockets for Tibbit Modules and Connectors.
Add Tibbit® Blocks
Tibbits (as in “Tibbo Bits”) are blocks of prepackaged I/O functionality housed in brightly colored rectangular shells. Tibbits are subdivided into Modules and Connectors.
Want an ADC? There is a Tibbit Module for this. 24V power supply? Got that! RS232/422/485 port? We have this, and many other Modules, too.
Same goes for Tibbit Connectors. DB9 Tibbit? Check. Terminal block? Check. Infrared receiver/transmitter? Got it. Temperature, humidity, and pressure sensors? On the list of available Tibbits, too.
Assemble into a Tibbo Project Box (TPB)
Most projects require an enclosure. Designing one is a tough job. Making it beautiful is even tougher, and may also be prohibitively expensive. Finding or making the right housing is a perennial obstacle to completing low-volume and hobbyist projects.
Strangely, suppliers of popular platforms such as Arduino, Raspberry Pi, and BeagleBone do not bother with providing any enclosures, and available third-party offerings are primitive and flimsy.
Tibbo understands enclosure struggles and here is our solution: Your Tibbo Project System can optionally be ordered with a Tibbo Project Box (TPB) kit.
The ingenious feature of the TPB is that its top and bottom walls are formed by Tibbit Connectors. This eliminates a huge problem of any low-volume production operation – the necessity to drill holes and openings in an off-the-shelf enclosure.
The result is a neat, professionally looking housing every time, even for projects with the production quantity of one.
Like boards, our enclosures are available in two sizes – medium and large. Medium-size project boxes can be ordered in the LCD/keypad version, thus allowing you to design solutions incorporating a user interface.
Unique Online Configurator
To simplify the process of planning your TPS we have created an Online Configurator.
Configurator allows you to select the Tibbo Project Board (TPP), “insert” Tibbit Modules and Connectors into the board’s sockets, and specify additional options. These include choosing whether or not you wish to add a Tibbo Project Box (TPB) enclosure, LCD and keypad, DIN rail mounting kit, and so on. You can choose to have your system shipped fully assembled or as a parts kit.
Configurator makes sure you specify a valid system by watching out for errors. For example, it verifies that the total power consumption of your future TPS device does not exceed available power budget. Configurator also checks the placement of Tibbits, ensuring that there are no mistakes in their arrangement.
Completed configurations can be immediately ordered from our online store. You can opt to keep each configuration private, share it with other registered users, or make it public for everyone to see.
Develop your application
Like all programmable Tibbo hardware, Tibbo Project System devices are powered by Tibbo OS (TiOS).
Use our free Tibbo IDE (TIDE) software to create and debug sophisticated automation applications in Tibbo BASIC, Tibbo C, or a combination of the two languages.
To learn more about the Tibbo Project System click here
OPC – «Open Platform Communications» – is a set of standards and specifications for manufacturing telecommunication. OPC specifies the transfer of real-time plant data between control devices from various producers. OPC was designed to process control hardware and support a common bridge for Windows-based software applications. OPC was aimed to reduce the number of duplicated effort performed by hardware manufacturers and their software partners.
The most typical OPC specification, OPC Data Access (OPC DA), is supported by Tibbo OPC Server. Any device compatible with the Tibbo AggreGate protocol can be a data source. AggreGate is a white-label IoT integration platform using up-to-date network technologies to control, configure, monitor and support electronic devices, along with distributed networks of such electronic devices. It also helps you collect device data in the cloud, where you can slice and dice it in alignment with your needs. In addition, the platform lets other enterprise applications transparently access this data via the AggreGate server.
Tibbo OPC server has embedded AggreGate network protocol. It can both interact with any Tibbo devices via AggreGate agent protocol and connect to AggreGate server. The AggreGate agent protocol open-source solution is published for Java, C#, and C++ programming languages, so your connection scheme is not restricted to AggreGate server or Tibbo devices only.
A simple example: TPS reads Tibbit #29 (Ambient temperature meter) and forwards data to OPC server via AggreGate agent protocol.
A more complex example: we have a Windows-based PC controlling a wood processing machine by means of AggreGate server through the Modbus protocol. If Tibbo OPC server is linked with AggreGate server, the data from the machine is sent to Tibbo OPC server, and therefore, we can operate and monitor the machine via any OPC client.
Compatibility with Windows XP/2003 or later (Microsoft Visual C++ 2013 redistributable is required - installed automatically)
Support of DA Asynchronous I/O 2.0 and Synchronous I/O with COM/DCOM technology
Tibbo OPC Server transmits the information on the Value, Quality and Timestamp of an item (tag) to the OPC Client applications. These fields are read from the AggreGate variables.
The process values are set to Bad [Configuration Error] quality if OPC Server loses communication with its data source (AggreGate Agent or AggreGate Server). The quality is set to Uncertain [Non-Specific] if the AggreGate variable value is empty.
In the following chart below you can see a concordance table of the AggreGate variables and the OPC data types:
|AggreGate Data Type||OPC Data Type|
|DATATABLE||OPC VT_BSTR (by default)|
To learn more about Tibbo OPC server, click here
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