Equipment state detection method and device based on transaction logic, equipment and medium

Abstract

The invention relates to an equipment state detection method and device based on transaction logic, equipment and a medium. The method comprises the following steps: acquiring to-be-processed current of to-be-judged equipment, and performing classification processing on the to-be-processed current according to transaction logic; performing discretization processing on the current to be processed in each class, and performing coding processing to obtain a coding value representing current distribution corresponding to the current to be processed in each class; carrying out statistic calculation on the to-be-processed current in each classification after discretization processing; generating a feature vector according to the coded value and the calculated statistical magnitude; and inputting the feature vector into a pre-generated deep learning model to obtain a fine equipment state corresponding to the to-be-processed current in each classification, the deep learning model comprising a module for extracting time sequence information of the to-be-processed current in each classification. By adopting the method, the accuracy of fine equipment state judgment can be improved, in addition, the invention further relates to a block chain technology, and a deep learning model can be stored in a block chain node.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a method, device, device and medium for detecting device status based on transaction logic. Background technique [0002] With the development of modern industrial requirements, the processing requirements for manufacturing equipment are getting higher and higher. Whether the manufacturing equipment is running normally directly affects the processing efficiency and processing speed of the manufacturing equipment. Accurately detecting the abnormality of the manufacturing equipment in the working state can even deal with the abnormality of the equipment to achieve the purpose of improving the processing efficiency of the manufacturing equipment. [0003] In the traditional way, the monitoring of fine equipment status can be to monitor the sum of the current of each sampling point within a period of time, and then combine the time variable to obtain the fin...

AI Technical Summary

Problems solved by technology

[0004] However, the above method only takes into account the relationship between the sum of the current and time, such as the status of each event processed by the device, which leads to a rough judgment of the status of the device and inaccurate judgment of the subsequent fine device status.

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