A Study on the Wastewater Treatment Self-Diagnosis Web Application to Establish an Intelligent Wastewater Treatment Plant

Abstract

As sewage treatment facilities are classified as energy-consuming facilities and the need for energy-saving measures has emerged, the Ministry of Environment has established the Basic Plan for Energy Self-Reliance of Public Sewage Treatment Facilities to achieve 50% energy independence by 2030. Therefore, this study conducted an ICT-based self-diagnosis web application study for sewage treatment facilities that provided a simulator utilization plan to site operators of sewage treatment facilities and suggested measures for the results of self-diagnosis through the development of a removal rate-based sewage treatment self-diagnosis application. Using the Massflow3 simulator, the measures and validation of abnormal conditions for BOD, SS, TN, and TP were conducted, and a web-based self-diagnosis algorithm was implemented to enable the operator to easily control the process based on the simulation results.