Study on sewage treatment plant biological-chemical energy consumption monitor model based on BP network

摘要

With the energy crisis being focus problem, energy consumption of sewage treatment plant has been concerned increasingly. Advanced control system is necessary for sewage treatment plant to reduce the energy consumption in popular review. And a real time energy consumption monitor model is helpful for advanced control system to adjust its control opinion. This paper presents a simple, monitor model for biological-chemical energy consumption, which is a main part of total sewage treatment plant energy consumption, nearly accounting for 60% of the total. The monitor model could supply the real time energy consumption through the influent quality parameters and other parameters. To make the model simple, statistical method multiple R is used to choose the influent parameters affecting energy consumption strongly as few as possible. The model established by back-propagation network is trained and tested by sets of a sewage treatment plant operation data. The test result shows that the model works well with high efficiency and accuracy. The test result also shows biological-chemical energy consumption is not only affected by influent chemical oxygen demand (COD), biological oxygen demand (BOD) but also affected by temperature in aeration tank in the sewage treatment plant.