Industrial equipment state management and control method and device integrated with artificial intelligence algorithm

Abstract

The embodiment of the invention discloses an industrial equipment state management and control method and device integrated with an artificial intelligence algorithm, and the method comprises the steps: carrying out the secondary recognition after obtaining a first physical state feature corresponding to target industrial equipment, and obtaining a second physical state feature; judging the running state of the target industrial equipment based on the second physical state feature, and if the running state is abnormal, performing fault detection on the target industrial equipment based on a preset standard test working condition; if the fault detection result meets a preset condition, predicting the target industrial equipment by utilizing a preset hybrid model to obtain expected life information; determining a target operation condition of the target industrial equipment according to the expected life information; and based on the target operation condition, adjusting the actual operation condition of the equipment. By the adoption of the method, the actual working condition of the industrial equipment can be measured and calculated, then set parameters are corrected, automatic management and control are achieved, and the operation efficiency of the industrial equipment is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of artificial intelligence, in particular to a method and device for state management and control of industrial equipment integrated with artificial intelligence algorithms, and also to an electronic device and a computer-readable storage medium. Background technique [0002] In recent years, with the continuous development of science and technology, various industrial equipment has been more widely used. In particular, with the gradual popularization of intelligent industrial equipment on the automated assembly line, the management and control of industrial equipment on the automated assembly line requires fast and accurate diagnosis of various abnormalities or fault states to prevent or eliminate faults and improve industrial performance. The reliability, safety and effectiveness of equipment operation will reduce the loss of mechanical failure to the lowest level. Diagnosis and moni...

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Problems solved by technology

[0004] For this reason, the embodiment of the present invention provides an industrial equipment state management and control method integrated with artificial intelligence algorithms to solve the problems in the prior art that the inspection equipment has a single function, poor analysis and processing capabilities, and is separated from the control system, resulting in The detection efficiency and accuracy cannot effectively meet the needs of practical applications

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