CN-121993432-A - Fan equipment fault detection method, device, equipment, medium and program product

CN121993432ACN 121993432 ACN121993432 ACN 121993432ACN-121993432-A

Abstract

The invention discloses a fault detection method, device, equipment, medium and program product of fan equipment, and relates to the technical field of fault detection, comprising the steps of monitoring a starting event, a stopping event or a fault expression event of the fan equipment, acquiring operation data of the fan equipment, and acquiring corresponding starting-stopping noise reduction configuration information and operation and maintenance configuration information of the fan equipment; and performing fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result. The embodiment of the invention improves the accuracy of the fault detection of the fan equipment.

Inventors

WANG XIAOXIA
WANG FEI
ZHANG MIN
TIAN YE
ZHAO SHENGYAN

Assignees

同方智慧能源有限责任公司

Dates

Publication Date: 20260508
Application Date: 20260121

Claims (10)

1. A method for detecting a failure of a fan apparatus, the method comprising: Monitoring a starting event, a stopping event or a fault expression event of fan equipment, acquiring operation data of the fan equipment, and acquiring starting-stopping noise reduction configuration information and operation and maintenance configuration information corresponding to the fan equipment; according to the start-stop noise reduction configuration information, noise reduction processing is carried out on the operation data to obtain noise reduction operation data; And carrying out fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result.
2. The method of claim 1, wherein the start-stop noise reduction configuration information comprises configuration information for at least one electromagnetic interference data type, the electromagnetic interference data type being a data type of operational data associated with an electromagnetic interference presence; The noise reduction processing is performed on the operation data according to the start-stop noise reduction configuration information to obtain noise reduction operation data, and the noise reduction operation data comprises: Screening first operation data matched with the type of the electromagnetic interference data from the operation data; Determining operation data except the first operation data as second operation data in the operation data; According to the start-stop noise reduction configuration information, noise reduction processing is carried out on the first operation data to obtain third operation data; and determining the second operation data and the third operation data as noise reduction operation data.
3. The method of claim 2, wherein the start-stop noise reduction configuration information comprises at least one data sample pair comprising electromagnetic interference data samples and electromagnetic interference free data samples; the step of performing noise reduction processing on the first operation data according to the start-stop noise reduction configuration information to obtain third operation data includes: Generating an initial noise reduction model; Training the initial noise reduction model according to each data sample pair to obtain a trained noise reduction model; quantizing and pruning the trained noise reduction model to obtain a target noise reduction model; And carrying out noise reduction processing on the first operation data through a target noise reduction model to obtain third operation data.
4. The method of claim 2, wherein the screening the operational data for the first operational data that matches the electromagnetic interference data type comprises: selecting vibration data of a transmission part of fan equipment and current data of a motor of the fan equipment from the operation data; screening sub vibration data matched with the electromagnetic interference data type from the vibration data; screening sub-current data matched with the electromagnetic interference data type from the current data; The sub-vibration data and the sub-current data are determined as first operation data.
5. The method of claim 1, wherein the operation and maintenance configuration information comprises configuration information of at least one fan fault, the configuration information of the fan fault comprising a numerical interval for characterizing at least one item of operational data when the fan fault occurs; And performing fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result, wherein the fault detection result comprises: generating at least one fault data sample and at least one normal data sample according to the configuration information of each fan fault; generating an initial detection model according to the operation and maintenance configuration information; training the initial detection model according to each fault data sample and each normal data sample to obtain a trained fault detection model; And carrying out fault detection on the fan equipment according to the noise reduction operation data through the fault detection model to obtain a fault detection result.
6. The method of claim 5, wherein generating an initial detection model from the operation and maintenance configuration information comprises: determining the number of neurons of an input layer of the initial detection model according to the number of data types in the operation data; Determining the number of neurons of a hidden layer of the initial detection model and the number of neurons of an output layer of the initial detection model according to the number of data types in the running data and the number of fan faults; and generating an initial detection model according to the neuron number of the input layer, the neuron number of the hidden layer and the neuron number of the output layer.
7. A fault detection device for a fan apparatus, the device comprising: The acquisition module is used for monitoring a starting event, a stopping event or a fault expression event of the fan equipment, acquiring operation data of the fan equipment, and acquiring starting-stopping noise reduction configuration information and operation and maintenance configuration information corresponding to the fan equipment; The noise reduction module is used for carrying out noise reduction processing on the operation data according to the start-stop noise reduction configuration information to obtain noise reduction operation data; and the detection module is used for carrying out fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result.
8. An electronic device, the electronic device comprising: At least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of fault detection of a fan apparatus as claimed in any one of claims 1 to 6.
9. A computer readable storage medium storing computer instructions for causing a processor to perform the method of fault detection of a fan apparatus according to any one of claims 1-6.
10. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of fault detection of a fan device according to any of claims 1-6.

Description

Fan equipment fault detection method, device, equipment, medium and program product Technical Field The present invention relates to the field of fault detection technologies, and in particular, to a method, an apparatus, a device, a medium, and a program product for detecting a fault of a fan device. Background The fan equipment is core equipment in a building ventilation and industrial ventilation system, and the core component comprises a main shaft, an impeller, a motor, a bearing and the like, and is easy to break down when running in complex environments such as a dust-filled, damp industrial factory building or a building ventilation pipeline with large temperature fluctuation for a long time. The fan equipment is out of order, and the air quality of workshop is worsened, production technology is interrupted or building ventilation is unsmooth probably to lead to, not only influence production efficiency and personnel's health, and the maintenance of core component is changed and is still produced higher operation maintenance cost, consequently need to realize early warning through real-time fault detection. The traditional detection technology carries out fault identification by collecting the operation parameters of fan equipment, but the accuracy of the operation parameters collected in a complex environment is lower, so that the problems of lower accuracy of fault detection and higher false alarm rate are caused. Disclosure of Invention The invention provides a fault detection method, device, equipment, medium and program product of fan equipment, which are used for improving the accuracy of fault detection of the fan equipment. In a first aspect, an embodiment of the present invention provides a method for detecting a fault of a fan device, including: Monitoring a starting event, a stopping event or a fault expression event of fan equipment, acquiring operation data of the fan equipment, and acquiring starting-stopping noise reduction configuration information and operation and maintenance configuration information corresponding to the fan equipment; according to the start-stop noise reduction configuration information, noise reduction processing is carried out on the operation data to obtain noise reduction operation data; And carrying out fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result. In a second aspect, an embodiment of the present invention further provides a fault detection device of a fan apparatus, including: The acquisition module is used for monitoring a starting event, a stopping event or a fault expression event of the fan equipment, acquiring operation data of the fan equipment, and acquiring starting-stopping noise reduction configuration information and operation and maintenance configuration information corresponding to the fan equipment; The noise reduction module is used for carrying out noise reduction processing on the operation data according to the start-stop noise reduction configuration information to obtain noise reduction operation data; and the detection module is used for carrying out fault detection on the fan equipment according to the operation and maintenance configuration information and the noise reduction operation data to obtain a fault detection result. In a third aspect, an embodiment of the present invention further provides an electronic device, including: At least one processor, and A memory communicatively coupled to the at least one processor, wherein The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for detecting a failure of a fan apparatus provided by any of the embodiments of the present invention. In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where computer instructions are stored, where the computer instructions are configured to cause a processor to execute the method for detecting a fault in a fan device according to any one of the embodiments of the present invention. In a fifth aspect, embodiments of the present invention further provide a computer program product, wherein the computer program product comprises a computer program which, when executed by a processor, implements the method for detecting a failure of a fan apparatus according to any of the embodiments of the present invention. According to the embodiment of the invention, the operation data of the fan equipment is acquired through monitoring the starting event, the stopping event or the fault expression event of the fan equipment, the starting-stopping noise reduction configuration information and the operation and maintenance configuration information corresponding to the fan equipment are acquired, the noise reduction processing is carried out on the operation data according to the starting-stopping noi