Abstract

Aim to solve problems of the low automatic level, high energy consumption and high labor intensity in the process of sewage treatment and combing with the actual control requirements of the worksite, this study introduces an integrated control system of sewage treatment. The system bases on the S7-300PLC, inverter and KINGVIEW software. The methods of controlling, testing and management in the process of sewage treatment via the integrated control system which consists of PLC, KINGVIEW and PC were presented. The study also discussed the content of sewage treatment process, the component structure of control system, the control principle and the design of hardware and software in detail. Finally, the results proved that the system can operates reliably and effectively.

Highlights

  • As we all know, it is not suitable for workers to operate the equipments in the field because of the harsh environment, the complex condition and so on in the sewage treatment plant (Wang et al, 2011)

  • The control strategies of hardware equipments in the system: The PID closed-loop for opening of electric control valve: In the sewage treatment integrated control system, the opening of electric control valve and steam control valve are controlled by PID closed-loop so that the regulation pool can has a relative temperature by controlling the flow velocity and flow quantity of hot water

  • The running states of equipments, running parameters and the reasons of. This system is designed for the sewage treatment plant of the new material factory

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Summary

Introduction

It is not suitable for workers to operate the equipments in the field because of the harsh environment, the complex condition and so on in the sewage treatment plant (Wang et al, 2011). It becomes a development tendency of modern sewage treatment industry that the process of sewage treatment can be achieved via automatic control and remote monitoring. This study presents an energy-saving and integrated automatic control system of sewage treatment which bases on the MPI network. This system can carries out real-time monitoring and centralized management of the collected data such as the field, screen monitor, parameters setting, command control and other functions.

Results
Conclusion
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