Power equipment maintenance system and method based on artificial intelligence

Abstract

The invention discloses a power equipment maintenance system and method based on artificial intelligence, and belongs to the field of deep learning. The method comprises the steps of collecting the material of the power equipment, calculating the fault rate of the power equipment, carrying out initial scoring on the power equipment according to the fault rate of the power equipment, outputting a power equipment evaluation value, evaluating the operation state of the power equipment, and evaluating the operation state of the power equipment according to the power equipment evaluation value and the operation environment of the power equipment. Adjusting the maintenance cycle of the power equipment according to the operation state of the power equipment; according to the method, the operation state of the power equipment is evaluated from two aspects of the probability of possible faults of the power equipment and the influence of the operation environment of the power equipment on the power equipment, the maintenance period of the power equipment is adjusted according to the operation state of the power equipment, and the maintenance period is reasonably configured; the method can timely check the power equipment which is liable to have fault hidden troubles, nip in the bud, avoid overhauls and blind maintenance, and reasonably distribute maintenance resources.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to an artificial intelligence-based power equipment maintenance system and method. Background technique [0002] There are fixed procedures and standards for the overhaul and maintenance of power equipment, but they cannot solve all faults of power equipment, hindering the smooth and monitoring operation of power supply work. To achieve the effectiveness and reliability of power equipment and maintenance work, it is necessary to face up to The influence of external environmental factors on electrical equipment, temperature, humidity, dust, and vibration will directly or indirectly threaten the normal operation of electrical equipment; [0003] On the other hand, the planned maintenance system used by most of the power equipment in the power system has serious defects, and there is no ability to reasonably arrange maintenance resources. There is no reliable control over the ope...

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Problems solved by technology

[0002] There are fixed procedures and standards for the repair and maintenance of power equipment, but they cannot solve all the fault problems of power equipment, which hinders the smooth and monitoring operation of power supply work. To achieve the effectiveness and reliability of power equipment and maintenance work, we need to face up to The impact of external environmental factors on electrical equipment, temperature, humidity, dust, vibration will directly or indirectly threaten the normal operation of electrical equipment;

[0003] On the other hand, the planned maintenance system adopted by most of the power equipment in the power system has serious flaws. There is no ability to reasonably arrange maintenance resources, and there is no reliable control over the operation status of power equipment. The maintenance cycle is fixed, but temporary maintenance is frequent. , Insufficient maintenance or excessive maintenance, blind maintenance, etc., how to reasonably set the maintenance cycle, save maintenance costs, reduce maintenance costs, and ensure that the system has high reliability is an important issue for system operators

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