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Power equipment maintenance system and method based on artificial intelligence

A technology of power equipment and artificial intelligence, applied in the field of deep learning, can solve problems such as the lack of a reliable control of the operating status of power equipment, the failure to arrange maintenance resources reasonably, and the inability to solve power equipment failure problems, so as to achieve reasonable maintenance resources and avoid The effect of overhaul and reasonable distribution

Active Publication Date: 2022-07-22
江苏贺鸿电子有限公司
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AI Technical Summary

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

Method used

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  • Power equipment maintenance system and method based on artificial intelligence
  • Power equipment maintenance system and method based on artificial intelligence
  • Power equipment maintenance system and method based on artificial intelligence

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Embodiment 1

[0062] Embodiment 1: a power equipment maintenance system based on artificial intelligence, the power equipment maintenance system includes a power equipment environment acquisition module, an environmental data processing module, a power equipment evaluation module, a power equipment operation evaluation module and a power equipment maintenance unit;

[0063] The power equipment environment acquisition module collects the environmental data of the power equipment, and transmits the environmental data to the environmental data processing module;

[0064] The environmental data processing module receives the initial environmental data, performs data cleaning and data storage on the environmental data according to the stability of the environmental data acquisition equipment, further improves the accuracy of the environmental data, and ensures the accuracy of the evaluation by the power equipment operation evaluation module;

[0065] The power equipment evaluation module evaluate...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/04G06Q50/06G06Q10/06
CPCG06Q10/20G06Q10/04G06Q50/06G06Q10/0639
Inventor 方支剑刘统发朱利明黄水华
Owner 江苏贺鸿电子有限公司
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