Equipment operation detection method and device, equipment and medium

Abstract

The invention discloses an equipment operation detection method and device, equipment and a medium. The method comprises the following steps: constructing an operation detection model based on historical operation information of equipment and a data detection rule; determining burr data in the actual operation information of the equipment according to the burr data rule; Abandoning burr data in the actual operation information of the equipment to obtain to-be-detected operation data; and detecting the to-be-detected operation data through the operation detection model to obtain an operation detection result of the equipment. According to the embodiment of the invention, the operation condition of the equipment can be detected through the multi-dimensional information, and the more accurateequipment operation condition can be obtained.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, device and medium for equipment operation detection. Background technique [0002] Since the equipment may break down during operation, it will affect the use of users or the vital interests of public resource companies. [0003] But at present, the fault detection of equipment is mostly based on manual processing methods. Manual detection methods not only consume a lot of financial and material resources, but also require huge time costs, and there will be some errors in the detection results. [0004] Therefore, currently there are methods that cannot perform accurate equipment operation detection. Contents of the invention [0005] Embodiments of the present invention provide a method, device, equipment and medium for equipment operation detection, which can improve the accuracy of equipment operation detection. [0006] An aspect of the embodim...

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Problems solved by technology

[0002] Because the equipment may break down during operation, which will affect the use of users or affect the vital interests of public resource companies

[0003] But at present, most of the fault detection of equipment is based on manual processing methods. Manual detection methods not only consume a lot of financial and material resources, but also require huge time costs, and there will be some errors in the detection results.

[0004] Therefore, there are currently methods that cannot perform accurate equipment operation detection.

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