Everything You Need to Know to be Successful at IIoT

Do you need to quickly ramp up your IIoT knowledge? Do you want to know why manufacturers are investing in IIoT? For years this blog has shared many of the individual values that smart manufacturing, Industry 4.0 and the Industrial Internet of Things can bring to manufacturers. I am going to quickly summarize the key findings and provide links to the full entries so you can easily have at your fingertips all of the advice you need to be successful at IIoT.

  • Industry 4.0 & IIoT, who cares?!?! You should. Even in 2016, IIoT investments were rapidly growing and more than a fifth of technology budgets were being invested in data analytics, IIoT and Industry 4.0. This has not slowed down in 2018!
  • 5 Common IIoT Mistakes and How to Avoid Them. The first point is the best point, every IIoT project that ignores the IT department is doomed for failure. IT & OT must work closely together for a successful data project in the factory.
  • Capture vs Control – The Hidden Value of True IIoT Solutions. In automation, everything seems to revolve around the PLC. This is very much an Industry 3.0 way of thinking. As we take on the next industrial revolution, devices can talk to each other in new and incredible ways, and we can capture data without impacting a working production line or modifying PLC code.
  • JSON Objects and How They Can Streamline an IIoT Application. How the data is captured is important to understand when you are ready to take action and implement your first project. By utilizing web tools like JSON, we can effectively capture data for IIoT applications.
  • What does that “Ready for IIoT” tag really mean? But how do I select a device that is going to be actually ready for IIoT? Features like condition monitoring, automatic configuration and scalability make for robust IIoT projects that can stand the test of time.

When you are convinced and ready to take action on an IIoT project kickoff for an Industry 4.0 team, take a look at the blogs below which can help you make an action plan for success and get buy-in from management.

  • How to Balance the IIoT Success Equation. What should you and your team be focusing on? How do we set a strategy, manage data, and take action to run a successful project? All of these need to be in balance and planned for to have long term vitality in your IIoT investments.
  • How do I justify an IIoT investment to my boss? We can show ROI through reduced downtime, by tying our project to corporate goals of productivity or utilization and you can point out that your competitors are heavily investing in this topic.
  • Enabling the Visibility Provided by the Industrial Internet of Things. And last but not least, there is a seriously strong technology available on the market from virtually every automation vendor that enables and scales IIoT like no other. That technology is IO-Link. With IO-Link you can create visibility down to every sensor in the plant and gain the flexibility and reliability that you need for sustainable competitiveness in the global market.

To learn more about IO-Link and how it enables machine builders and manufacturers to be successful with IIoT, check out this interactive infographic.

How to Balance the IIoT Success Equation

What are the key components to being successful when implementing Industrial IoT?  There are three major components to consider when beginning your pilot project for Industry 4.0: Strategy, Data & Action.  With a clear understanding of each of these components, successful implementations are closer than you think.

Strategy:  What is your plan? What do you need to know?  Who needs to know what?  How do we enable people to make the right decisions?  What standards will we follow?  How often do we need the data?  What data don’t we need?

Data Generation:  Devices need to generate cyclic data giving insight into the process and warning/event data to give insight into issues.  Devices should support protocols that allow requesting data without impacting the control system and structured in a way that’s logical and easy to manipulate.

Data Management:  How are we going to handle our data?  What structure does it need to be in?  Do we need internal and external access to the data?  What security requirements do we need to consider?  Which users will need the data?  Where is the data coming from?  How much data are we talking about?

Data Analytics:  Insight, Big Data, Predictive Analytics, etc.  These insights from an industrial point of view should truly drive productivity for every user.  Predictive Analytics should help us know when and where to perform maintenance on equipment and dramatically reduce downtime in the plant.

Action:  The key component of any IIoT Success.  Without daily decisions based on the strategy by every employee, failure is assured.  Supply chain needs to know that we are interested in not just the cheapest replacement component, but one that can help us generate data to improve our analytic capabilities.  Maintenance needs to be taking action on Predictive outputs and move from randomly fighting fires to purposefully preventing downtime all together.

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Strategy + (Data Generation + Data Management + Data Analytics) + Action = IIoT Success

We have a strong portfolio of automation devices that enable data generation for IIoT applications, check them out at www.balluff.com.