Bi-LSTM-based dust removal equipment anomaly detection system

The invention relates to a dust removal equipment anomaly detection system based on Bi-LSTM. The system is composed of an audio data acquisition node, a data processing and analysis node, an upper computer monitoring center and a mobile terminal. The audio data acquisition node uses a sound sensor to acquire sound information when dust removal equipment works, the sound information is sent to a microprocessor of the data processing and analyzing node through a wireless communication module, a Bi-LSTM-based equipment fault monitoring model is adopted, field data is rapidly analyzed and processed, the real-time running condition of the equipment is obtained, and the real-time running condition of the dust removal equipment is monitored. Information is sent to an upper computer monitoring center and a mobile terminal through a wireless communication module, real-time online anomaly detection of the dust removal equipment is achieved, and efficient operation of the dust removal equipment is guaranteed. 本发明涉及一种基于B