Method and computing device for determining running state and fault type of water pump

Abstract

The invention discloses a method for determining the running state and the fault type of a water pump and computing equipment, the method comprises the following steps: obtaining audio data when the water pump works, the audio data comprises respective audio data of the water pump and water in the water pump, the audio data of the water pump is first audio data, and the audio data of the water is second audio data; extracting first audio data from the audio data by using a trained voiceprint extraction model; comparing the first audio data with audio sample data stored in a voiceprint database to determine the running state of the water pump; and when it is determined that the running state of the water pump is the fault, the fault type of the fault is determined. According to the method, the voice frequency during operation of the water pump is automatically collected, noise reduction processing is conducted on the voice frequency, analysis is conducted, the operation state and the fault type of the water pump can be determined, and the recognition efficiency, comprehensiveness and heredity of the water pump faults and the fault type are greatly improved.

Description

technical field [0001] The invention relates to the field of water pumps, in particular to a method and a computing device for determining the operating state and fault type of the water pump. Background technique [0002] Water pumps are widely used in modern industry. When a water pump fails, manual inspection is often used to determine the location and type of the failure. However, some faults cannot be manually inspected when the pump is running, resulting in a long period of time to find the fault. In addition, faults such as cavitation of water pumps cannot be found through manual inspection, which makes it difficult to achieve full-time and all-round coverage in the way of manual inspection to locate water pump faults. The detection and location of faults requires the help of human ear sound recognition, but the human ear sound recognition technology relies on expert experience and long-term learning accumulation, and the learning cost is relatively high. [0003] T...

AI Technical Summary

Problems solved by technology

However, some faults cannot be manually inspected while the pump is running, resulting in a longer period of fault discovery

In addition, faults such as cavitation of water pumps cannot be found through manual inspection, which makes it difficult to achieve full-time and all-round coverage in the way of manual inspection to locate water pump faults. The detection and location of faults requires the help of human ear sound recognition, but the human ear sound recognition technology relies on expert experience and long-term learning accumulation, and the learning cost is relatively high

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