Voice interaction based fault diagnosis system

Abstract

The invention belongs to the technical field of equipment fault diagnosis, and relates to a voice interaction based fault diagnosis system. The system is characterized by comprising a voice interaction module, an IETM browser, an IETM content database and an instruction mode database. The system has the beneficial effects that the complex fault diagnosis process is packaged, and fault removing people can easily use and operate; the IETM fault diagnosis capacity is improved; the fault removing people can drive the IETM fault diagnosis strategy to be performed through voice, rather than operating the IETM browser, so that the fault removing efficiency is increased; a diagnosis result voice signal of the fault removing people is in match with the instruction mode, thus the diagnosis result recognizing accuracy can be improved, and the matching failure rate caused by noisy voice can be reduced; the portability is high; the voice interaction and the interface display are synchronized; the system can be applied to device fault removing field and field assessment of the fault removing people; the system is high in environmental adaptability and free of the limitation of the light and working space.

Description

1. Technical field [0001] The invention relates to the technical field of fault diagnosis based on voice interaction, in particular to a fault diagnosis system based on voice interaction. 2. Background technology [0002] Fault is an unavoidable phenomenon for all equipment. Commonly used fault diagnosis methods include fault diagnosis based on experience and fault diagnosis based on technical data. The fault diagnosis method based on experience is the oldest diagnosis method. This kind of method has low cost, wide application range and rapid diagnosis, but it requires high experience of troubleshooting personnel, which is not conducive to the growth of young troubleshooting personnel. Fault diagnosis based on technical data is to use the technical data provided by the equipment manufacturer for fault diagnosis. This type of technical data can give a comprehensive overview of equipment failures and their causes. Even young troubleshooters can complete troubleshooting based o...

AI Technical Summary

Problems solved by technology

[0004] The existing IETM-based fault diagnosis method has made significant progress compared with the traditional fault diagnosis method, but during the troubleshooting process, the troubleshooting personnel need to read a large amount of diagnostic task information, frequently operate the IETM browser to drive the fault diagnosis process, and When operating the IETM browser, it is often necessary to move the location, which not only hinders the troubleshooting personnel from concentrating on troubleshooting, but also leads to a waste of time, resulting in a decrease in troubleshooting efficiency and an increase in human error rate

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