Subsystem decomposition and distributed moving horizon estimation of wastewater treatment plants

Distributed treatment of rural environmental wastewater by artificial ecological geographic information system

County rural sewage geographic information system, is the use of geographic information technology and computer graphics, digital storage and management of sewage treatment facilities, the sewage treatment plant equipment management, water purification and sewage network and its surrounding corresponding facilities location information and physical attributes of the two combined, according to the needs of users, the sewage treatment process required data in the form of graphics and text to show to According to the user's needs, the data required in the process of sewage treatment is displayed to the user in a graphic way, so as to meet the needs of government departments for comprehensive control of the operation and maintenance management of sewage treatment facilities. Solve the problem of slow update of basic data in sewage treatment projects and ambiguous presentation of water quality monitoring data caused by paper records. The system uses Web-GIS technology, combined with NET development platform, using MVC model design and implementation. The front-end Bootstrap framework for interface optimization display, the back-end ORM framework to provide persistence classes and database tables between the mapping relationship, convenient to complete the migration of the database. The system function design uses the visualization and analysis function of GIS to manage the wastewater treatment facilities and the wastewater purification process for real-time operation and maintenance supervision, and uses the three-dimensional engine to visualize and display the study of the wastewater pipe network on the Web side. Mainly divided into the following modules: water quality parameters supervision module, mainly real-time monitoring of the sewage treatment process, the parameters are in line with the sewage purification indicators, to play a monitoring and early warning role; equipment operation and maintenance module, mainly for the sewage treatment facilities for fault detection and maintenance of property information; statistical analysis module, the water quality information of different sewage treatment plants for horizontal and vertical comparison and analysis, to improve the sewage treatment The statistical analysis module, which provides data for improving the sewage treatment process; and the 3D pipe network visualization module, which uses virtual reality technology to visualize the sewage pipe network on the Web side to make up for the lack of information on the pipe network in the third dimension.

A Decentralized Framework for Parameter and State Estimation of Infiltration Processes

The Richards’ equation is widely used in the modeling soil water dynamics driven by the capillary and gravitational forces in the vadose zone. Its state and parameter estimation based on field soil moisture measurements is important and challenging for field applications of the Richards’ equation. In this work, we consider simultaneous state and parameter estimation of systems described by the three dimensional Richards’ equation with multiple types of soil. Based on a study on the interaction between subsystems, we propose to use decentralized estimation schemes to reduce the complexity of the estimation problem. Guidelines for subsystem decomposition are discussed and a decentralized estimation scheme developed in the framework of moving horizon state estimation is proposed. Extensive simulation results are presented to show the performance of the proposed decentralized approach.

Parameter and State Estimation of One-Dimensional Infiltration Processes: A Simultaneous Approach

The Richards equation plays an important role in the study of agro-hydrological systems. It models the water movement in soil in the vadose zone, which is driven by capillary and gravitational forces. Its states (capillary potential) and parameters (hydraulic conductivity, saturated and residual soil moistures and van Genuchten-Mualem parameters) are essential for the accuracy of mathematical modeling, yet difficult to obtain experimentally. In this work, an estimation approach is developed to estimate the parameters and states of Richards equation simultaneously. In the proposed approach, parameter identifiability and sensitivity analysis are used to determine the most important parameters for estimation purpose. Three common estimation schemes (extended Kalman filter, ensemble Kalman filter and moving horizon estimation) are investigated. The estimation performance is compared and analyzed based on extensive simulations.