Anomaly detection algorithm configuration method and device, electronic equipment and storage medium

Abstract

The invention provides a configuration method and device of an anomaly detection algorithm, electronic equipment and a storage medium, the configuration method of the anomaly detection algorithm is used for configuring the anomaly detection algorithm of equipment in predictive maintenance of an automobile production line, and the configuration method of the anomaly detection algorithm comprises the following steps: obtaining operation data of the equipment; determining variable information of the equipment according to the operation data, wherein the variable information is directly obtained from the operation data or obtained by processing the operation data; inputting the variable information into the anomaly detection algorithm to obtain an anomaly detection result output by the anomaly detection algorithm; according to the anomaly detection result, judging whether the anomaly frequency of the equipment detected by the anomaly detection algorithm is stable or not; and if the abnormal frequency of the equipment detected by the abnormal detection algorithm is unstable, adjusting parameters of the abnormal detection algorithm. According to the scheme, the predictive maintenance cost of the automobile production line can be reduced.

Description

technical field [0001] The present application relates to the technical field of automobile production lines, and in particular to a configuration method, device, electronic equipment and storage medium of an abnormality detection algorithm. Background technique [0002] Automobile production line is a kind of assembly line for automobile production, including stamping production line, welding production line, painting production line and final assembly production line. When the automobile production line fails, it will affect the production efficiency of the automobile. For this reason, it is necessary to carry out predictive maintenance on the automobile production line to solve the possible failures of the automobile production line in advance, to ensure that the automobile production line can work normally during the automobile production process, and then to ensure the safety of the automobile. Productivity. [0003] The predictive maintenance of the automobile product...

AI Technical Summary

Problems solved by technology

Since the automobile production line includes various types of equipment, different types of equipment require different anomaly detection algorithms, and the same type of equipment with different operating conditions also requires different anomaly detection algorithms. Therefore, when realizing predictive maintenance of automobile production lines, users It is necessary to analyze each device included in the automobile production line, and then configure an anomaly detection algorithm for each device included in the automobile production line according to the analysis results, which will consume more manpower and material resources, resulting in a higher predictive maintenance of the automobile production line. cost

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