Design And Research Of Sewage Treatment Monitoring System Based On Mobile Platform

In the construction of new countryside,sewage treatment is an important link.The characteristics of villages and towns and tourist resorts are that the geographical location is generally remote and scattered,the sewage discharge is small,it is impossible to build large-scale sewage treatment plants,and generally equipped with small integrated sewage treatment equipment.In order to reduce the maintenance personnel on duty and reduce the operating cost,a remote monitoring system for sewage treatment based on mobile platform is designed to realize the remote real-time monitoring of the sewage treatment process.The main research contents include the following aspects:1 、 A remote monitoring system for wastewater treatment based on mobile platform is designed based on the background of biological aerated filter(BAF)wastewater treatment process and existing sewage treatment monitoring system.On the basis of PLC,the DTU intelligent gateway,cloud server and configuration software based on Andriod are combined to realize the real-time presentation of sewage treatment monitoring data.2、Under the framework of the overall design scheme,the hardware scheme of the remote monitoring system of this subject is first designed,the hardware design is carried out around the mobile monitoring layer,the intermediate transmission layer,the field processing layer,and then the communication network topology of the monitoring system is designed,and finally the cloud server is designed.3、The software system of the sewage treatment mobile monitoring platform is designed,which mainly includes the Andriod mobile platform program development process and the App function module.4、To test the reliability and practicability of the designed monitoring system through field testing,and to test its stability for a period of time.5、By designing a combined optimization deep learning algorithm to model and optimize the aeration fan frequency,the optimization experiment shows that the algorithm has better prediction performance.The main contribution of this paper is that the mobile platform technology is applied to the field of remote monitoring of sewage treatment,the real-time monitoring of sewage treatment data is realized,the abnormal information of water quality is found in time by technicians,and the solutions are taken in time.Ensure stable operation of sewage treatment process within controllable range.In addition,the designed aeration fan frequency prediction model based on deep learning has certain reference significance for energy consumption management in sewage treatment industry.