The Industrial Internet of Things (IIoT) in the manufacturing plant will grow far beyond the imagination of people. In fact, some machines, bearings or conveyor belts in the factory do not need to be monitored at all. Next, we may see a strong opposition to the connection of everything that begins to appear.
According to Advanced Technology Services, which assists the factory in building state monitoring systems, some plants have now over-emphasized connectivity.
When consumer electronics manufacturers began moving manufacturing to Asia, everything seemed to be out of control. A few years later, executives in the electronics industry began to wonder whether the decision to move the manufacturing industry was wise. After all, not all companies focus on low cost, and not all companies have the ability to maintain the original product quality.
Similarly, we have recently begun to see similar rethinking on the issue of plant equipment networking. "Because you have the ability to monitor, it doesn't necessarily mean that you have to do this. It's more important to look at every line, every machine, and every function in the factory before you start asking. : If I monitor this, can I improve the process?â€ said Chris LeBeau, Global IT Director, Advanced Technology Services. The answer is not necessarily yes.
As we all know, before 2020 or 2030, it is expected that there will be huge expenses for the network equipment that is difficult to count. The number of these connected devices may be true, but LeBeau pointed out that this prediction is somewhat overstated. â€œThere is no interruption in the topic of this field. People may list a long list of monitors that must be monitored, but what is the result of monitoring all this?â€ He said: â€œWe must return to the factory and live every day. Among them, people have a more basic dialogue. What do they need to know under the development of IIoT? If it is necessary to access, what data will help?"
For example, LeBeau can connect to a myriad of devices, but some devices don't have to be connected. â€œAssume there is a conveyor belt in the factory. If you connect every bearing on the conveyor belt, can you make the work more efficient? Of course, you can monitor each bearing, or simply monitor the speed of the conveyor belt. It can give you useful information, but we are thinking about how to combine situational data to make it more practical."
One of LeBeau's strategies is to understand the views of the resident staff, not just their own intuition. â€œWe made important measurements to find the available methods. As an IT staff, I am not sure what the meaning of each measurement is,â€ he said. â€œAnd the experts working in the factory will tell you which ones. The fault situation is worrying. It all depends on the people who operate the machine in the factory, they will tell you where the demand is."
Factory experts also know which failure scenarios can cause the most serious damage. â€œWe have seen a motor failure in a factory that caused damage to the other five components. This is the most in need of monitoring,â€ LeBeau. â€œIf the temperature of the motor is monitored, it can be detected before it fails and can be replaced as soon as possible.â€
He also pointed out that each plant must take different measures, because the same equipment may also be used in different fields. â€œEvery factory uses a certain product, so some of the same equipment may be used. However, the way they use these same equipment may vary,â€ LeBeau said. â€œEveryone is actively providing the factory. Online capabilities, our conversations with factory personnel are the result of monitoring meaningful parts, analyzing data, and taking strategic actions using the results of the measurements."
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