How to achieve automated control in industrial production
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This post was last edited by liuquan1100 on 2017-9-26 at 11:05. How to achieve automated control in industrial production: Due to the complexity of production processes and the harsh conditions in industrial environments, some important or critical parameters cannot be measured directly (such as concentration, viscosity, polymerization rate, etc.). To ensure product quality, predictive models can be developed using online monitoring techniques to establish a relationship between quality metrics and operational parameters. By reading the parameters that need to be monitored in real time, the parameter settings can be adjusted automatically so that the actual values match the requirements set for production. This helps to reduce the rate of defective products, improve product quality, and lower energy consumption. The widespread use of soft measurement is the first step toward achieving industrial automation! What do you experts think?
At an equipment exhibition in Shanghai once, I saw a company whose philosophy was that one factory only needed 5 people, all of whom worked in the control room. Although I think it’s unreliable, this belief is still pretty good. I really hope to reach that level someday.
Yes, it seems like you also have many ideas. Could you please provide your QQ email address so that we can discuss how to achieve automated control in the manufacturing process?