With the development of the Internet of Things, the amount of data generated by industrial manufacturing equipment will increase. If these data are to be processed in the cloud, you need endless spectrum resources, transmission bandwidth and data processing capabilities. The "cloud" is inevitably overwhelmed. At this time, edge computing is needed to share the pressure of cloud computing.
“Nine of the data we collected is 90% of the garbage,” said a factory owner in Kunshan, Jiangsu. “Every time every day, 365 days, we have collected data, but the data we collected do not know. How to use it. Compared with the various expenses invested in collecting data, I think it is not worth it."
One year of data collection experience left the boss with an initial enthusiasm for the Industrial Internet, and even raised the question: Do we really need a lot of industrial data right now?
"As long as I add a few workers to solve the problem, why should I struggle to collect data and engage in the industrial Internet? It doesn't necessarily work!"
Indeed, no matter how the concepts of industrial Internet of Things, big data drive, and digital hygiene are said to be in vain, in the actual industrial production process, if the core problems of the enterprise cannot be solved—increasing profits and reducing costs, it is inevitable that it will be on paper. While the data itself is important, service applications that solve problems directly are more valuable to the business. At present, in addition to how to collect data, the key question facing most enterprises is what data is worth collecting. To put it bluntly, how to use data to generate value!
We know that the collection and transmission of industrial data is basically a “end-tube-cloud” model. At the application site, the "end" is responsible for collecting data, executing instructions, "pipe" to open the data transmission path, and "cloud" is responsible for all data analysis and control logic functions. Whether the entire process can be successfully opened is crucial for data acquisition, analysis, and application capabilities.
However, with the development of the Internet of Things, the amount of data generated by industrial manufacturing equipment will increase. If these data are to be processed in the cloud, you need endless spectrum resources, transmission bandwidth and data processing capabilities. The "cloud" is inevitably overwhelmed. At this time, edge computing is needed to share the pressure of cloud computing. For example, in a small company, when the scale is small, the board of directors can manage the company to a minimum, but when the company develops to a certain scale, it needs to give the frontline employees the necessary autonomy.
Therefore, the edge computing gateway for data acquisition, processing and transmission on the edge side of the industrial site is responsible for the opening of the industrial data transmission “Ren Duo two veins”, and then integrates with the cloud platform – the integration of the edge cloud, and finally the use of large Data analysis, enabling production, can bring out the true value of industrial data.
The two key issues that arise are what we have to face:
First, in the case of a large number of industrial data sinking, how to ensure the validity of the data?
Second, what value can the “edge-cloud” integration bring to the Industrial Internet of Things?
"The layman looks at the excitement and the insider looks at the doorway." The answer to these two questions is that the Yinghantong network, which has been cultivated for 17 years in the field of industrial Internet of Things, has a full say.