A Method of Using Support Vector Machines to Predict the Operational Effectiveness of Rural Domestic Sewage Treatment Facilities

Abstract

The invention discloses a method for predicting the operational effectiveness of rural domestic sewage treatment facilities by using a support vector machine. The efficiency and conductivity of effluent water are used as input, and the operation status of rural domestic sewage treatment facilities is used as output. The training set is trained by support vector machine, and the prediction model for the operation effectiveness of rural domestic sewage treatment facilities is constructed; the progress of the treatment facilities to be predicted is collected. Water conductivity and effluent conductivity are input into the prediction model to obtain prediction results. The method of the invention correlates the detection index of the inflow and outflow conductivity with the operational effectiveness of rural domestic sewage treatment facilities, and constructs a support vector machine model to obtain a prediction model, which not only has high prediction accuracy, but also is fast and cheap.

Description

technical field [0001] The invention relates to the technical field of wastewater treatment, in particular to a method for predicting the operational effectiveness of rural domestic sewage treatment facilities by using a support vector machine. Background technique [0002] With the rapid development of the rural economy, the living standards of farmers have been greatly improved, but the rural environmental construction and economic development are not synchronized, and the problem of water pollution is particularly serious. Among them, the treatment of rural domestic sewage has attracted more and more attention. . Due to the characteristics of small water volume and scattered discharge of rural domestic sewage, a large number of decentralized rural domestic sewage treatment facilities have been built in my country. Highly dispersed, the number of facilities in each county can reach hundreds or thousands. The long-term operation of these facilities is particularly important...

AI Technical Summary

Problems solved by technology

[0003] At present, the operation and management of rural domestic sewage treatment facilities mainly rely on manual work, and the effectiveness of facility operation, especially the removal effect of major pollutants such as COD, ammonia nitrogen, and TP in sewage, cannot be quickly judged

If the water quality indicators are monitored based on the national standard method, the cost of sampling and water quality testing in the supervision process is high, the cycle is long, and the workload is heavy, and it is difficult to indicate the operational effectiveness of the facilities in real time

[0004] The workload of sampling and water quality testing is enormous for a large number of scattered rural domestic sewage treatment facilities

Moreover, based on the national standard method, the cost of detection is high and the timeliness is poor, so it is impossible to control rural domestic sewage treatment facilities in a targeted manner by obtaining real-time effluent results

However, the rapid detection equipment based on the principle of spectroscopy such as COD and ammonia nitrogen is not only expensive, but also has certain errors with the national standard method. Therefore, the results obtained by these rapid water quality detection instruments can be used to judge the operation of rural domestic sewage treatment facilities. When , the judgment result is often inaccurate due to the accumulation of errors

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