Real-time monitoring method for working state of decentralised municipal sewage treatment system

In order to overcome the problems of high monitoring cost and inaccurate monitoring results, a real-time monitoring method for working state of decentralised municipal sewage treatment system is proposed. The experimental platform is used to collect the historical operation data of the decentralised municipal sewage treatment system and obtain the state characteristic parameters of the sewage treatment system. Wavelet transform and principal component analysis are used to pre-process the data of state characteristic parameters. The principal component analysis method is used for multi information fusion, and the fusion information is input into the hidden semi-Markov model to realise the real-time monitoring of the working state of the decentralised municipal sewage treatment system. Simulation results show that the maximum average error and maximum relative error of this method are 0.115 and 0.118, the monitoring cost varies from 10,900 to 12,900 yuan, and the monitoring error and monitoring cost are low.