Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines

Cong Liu,Hongji Li,Qinkun Zhang

doi:10.1155/2020/8852965

Cong Liu, Hongji Li + Show 1 more

Open Access

https://doi.org/10.1155/2020/8852965

Copy DOI

Abstract

Water resource protection has an important impact on ecosystem security and human survival. Therefore, water quality testing and early warning of the sewage status are getting more and more attention. In order to solve the problems of information transmission delay and insufficient water quality prediction in current water quality monitoring, this paper proposes a wireless sensor-based dynamic water quality monitoring and prediction technology. Firstly, this paper uses the wireless sensor technology and ZigBee protocol to establish a sewage monitoring model and real-time dynamic monitoring of total nitrogen, total phosphorus, ammonia nitrogen, and other indicators of the water quality of the basin. Secondly, on the basis of wireless monitoring, a support vector algorithm is used to construct a water quality prediction model to make a reasonable prediction of the water quality of the watershed. Finally, the actual test results show that the technology can automatically and real-timely monitor the water quality of the watershed to meet the requirements of water quality monitoring in practical applications.

Highlights

Water environment refers to the environment in which lakes, rivers, oceans, and other water qualities are located
The Netherlands has established an expensive water quality monitoring system [4] in the lower reaches of the Ames River. This system monitors the parameters of ammonia, nitrogen, total phosphorus, and pH in water quality in real time, and an alarm device is added to this monitoring system
The technical scheme of water quality monitoring is studied by combining wireless sensor hardware design and data processing optimization techniques such as support vector machines

Summary

Introduction

Water environment refers to the environment in which lakes, rivers, oceans, and other water qualities are located. The Netherlands has established an expensive water quality monitoring system [4] in the lower reaches of the Ames River This system monitors the parameters of ammonia, nitrogen, total phosphorus, and pH in water quality in real time, and an alarm device is added to this monitoring system. A number of automatic water quality monitoring stations are used to monitor the water quality changes of the Windlass River in the United Kingdom [2]. The current wireless sensor water quality automatic monitoring system mainly faces the problems of high-power consumption and unreliable communication and needs to be improved in these two aspects. Today’s wireless sensor network water quality automatic monitoring system mainly monitors oceans and lakes and rarely involves automatic water quality monitoring in watersheds [11]. The technical scheme of water quality monitoring is studied by combining wireless sensor hardware design and data processing optimization techniques such as support vector machines

Sewage Detection Based on Wireless Sensor Networks

Research on Water Quality Prediction Based on Support Vector Machines

Sewage Testing Actual Case Verification

Findings

Conclusion