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Warm ventilator fault detection method and system based on artificial intelligence algorithm

A technology of artificial intelligence and fault detection, applied in computer components, neural learning methods, calculations, etc., to achieve the effect of easy use and reasonable structure

Pending Publication Date: 2021-07-20
上海联创设计集团股份有限公司
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  • Warm ventilator fault detection method and system based on artificial intelligence algorithm
  • Warm ventilator fault detection method and system based on artificial intelligence algorithm
  • Warm ventilator fault detection method and system based on artificial intelligence algorithm

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[0036] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0037] like figure 1 As shown, a heating fan fault detection method based on artificial intelligence algorithm includes:

[0038] Initialize the BP model structure and set the number of neuron nodes in each layer of the network;

[0039] Initialize the particle swarm, respectively initialize the initial and final inertial weights, the initial value and velocity of the particles, the learning factor, and the maximum number of iterations of PSO network training;

[0040] Calculate the particle fitness v...

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Abstract

The invention provides a warm ventilator fault detection method and system based on artificial intelligence algorithm. The method comprises the steps: s1, initializing a BP model structure, and setting the number of neuron nodes of each layer of a network; s2, initializing a particle swarm; s3, calculating a particle fitness value; s4, comparing the fitness value and the global extreme value of the particle; s5, updating particle positions and velocity vector values; s6, outputting an optimal network according to the particle position updating result information and the velocity vector value updating result information, and obtaining the fault detection result information of the heating fan based on the artificial intelligence algorithm. Fault diagnosis is carried out on the heating ventilation air conditioner based on an artificial intelligence algorithm, and feedback data is provided by sensors with sampling points located at key parts of the heating ventilation system, the research data being provided by an owner intelligent control center.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a method and system for fault detection of a heating ventilator based on an artificial intelligence algorithm. Background technique [0002] The research object of this patent is the heating, ventilation, cooling and heating system of a large commercial building. Due to the large scale of the system, the complex internal structure, and the continuity and correlation between the operation of the internal subsystems, it is difficult to rely solely on expert experience. Its faults can be accurately judged, so it is considered to use artificial intelligence algorithms for fault diagnosis. [0003] In the traditional method, experts make judgments based on the specific symptoms of machine failures, and check each area of ​​the system one by one. This method is feasible in early simple or small systems, but for the current large-scale and Complicating the trend, the efficiency...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/00G06N3/04G06N3/08
CPCG06N3/006G06N3/04G06N3/084G06F18/241
Inventor 余华江金嘉陈志远
Owner 上海联创设计集团股份有限公司
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