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In view of the pain point that the DCS automatic control system in traditional chemical production can only realize data alarm according to the preset standard value, cannot quickly capture the cause of abnormality, make real-time judgment and automatically correct errors, and can only intervene manually, the company starts from the principle of process reaction, divides the responsible positions according to the process flow, clarifies the control elements and element standards of each position, deduces and screens the related elements, related element standards and related responsible positions that affect the control elements, establishes the logical relationship between all elements and the process control quality in advance, and sets up the corresponding standard database. In the case of non-compliance of the data of the post control node in the operation of the DCS system, the computer uses the standard data curve established in advance and uses big data analysis to automatically identify the influencing factors and automatically correct them within a limited time, so as to promote the rapid recovery of abnormal data to normal and ensure the continuous and stable operation of the production process. The "intelligent pre-control" control system is realized in the production process, and cost reduction and efficiency improvement are achieved under the premise of saving human resources. At the same time, the product quality is highly stable and physical efficiency is achieved. Some products are exported overseas and are well received by domestic and foreign customers.