Safety production index abnormity rapid sensing method based on Internet of Things and artificial intelligence

Abstract

The invention provides a safety production index abnormity rapid sensing method based on Internet of Things and artificial intelligence, and the method comprises the steps: carrying out the hierarchical division of production processes based on a production process, and each layer comprises a plurality of production processes; calculating a domino index corresponding to each production process based on the accumulated deviation of the production processes and the level, and calculating the influence degree of each production process on the production result based on the domino index and the number of the production processes directly connected with the production processes; and selecting an effective production process from all the production processes based on the influence degree, performing production process abnormality sensing based on the actual deviation at the effective production process, and obtaining the position and the abnormality type of the abnormal production process. According to the method, the abnormity in the production process can be quickly and efficiently sensed only by monitoring related data of individual production processes, and the abnormity types and the abnormity positions of the production processes are judged.

Description

technical field [0001] The invention relates to the field of production control, in particular to a method for quickly sensing abnormality of safety production indicators based on the Internet of Things and artificial intelligence. Background technique [0002] Abnormalities in the production process include abnormalities caused by the production process and abnormalities caused by cumulative deviations; at present, it is often to judge whether there is an abnormality in the production process by monitoring relevant data in real time and setting corresponding thresholds, which is time-consuming and labor-intensive, and this method can only Judging the abnormality cannot perceive the generation method and actual source of the abnormality, so that the maintenance of the production process cannot be carried out in time. Contents of the invention [0003] In order to solve the above problems, the present invention proposes a method for abnormally fast perception of safety prod...

AI Technical Summary

Problems solved by technology

[0002] Abnormalities in the production process include abnormalities caused by the production process and abnormalities caused by cumulative deviations; at present, it is often judged by real-time monitoring of relevant data and setting corresponding thresholds Whether there is an abnormality in the production process is time-consuming and labor-intensive, and this method can only judge the abnormality, but cannot perceive the method and actual source of the abnormality, so that the maintenance of the production process cannot be carried out in time

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