Multi-objective optimal control method for municipal sewage treatment process based on adaptive selection strategy
An adaptive selection, multi-objective optimization technology, applied in adaptive control, water/sewage multi-stage treatment, water/sludge/sewage treatment, etc., can solve the problems of inapplicable sewage treatment system, lack of optimization target model, etc.
Active Publication Date: 2020-01-21
BEIJING UNIV OF TECH
View PDF3 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In the sewage treatment process, due to the time-varying characteristics of the sewage treatment process, there is no clear optimization target model for reference, and most of the current target models are static, which is not suitable for the sewage treatment system with strong time-varying characteristics, so , how to establish a dynamic model of the sewage treatment process at different times is of great significance
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0074] The present invention obtains a multi-objective optimization control method of urban sewage treatment process based on an adaptive selection strategy, extracts the dynamic characteristics of the sewage treatment process through a comprehensive optimization framework, and establishes an aeration energy consumption model and pumping energy consumption model. model and effluent water quality model, the multi-objective particle swarm optimization algorithm based on the adaptive selection strategy simultaneously optimizes the model to obtain the optimal set value, and realizes the dissolved oxygen S O and nitrate nitrogen S NO Concentration tracking control solves the problem that it is difficult to achieve dynamic optimal control in the sewage treatment process, improves the optimal control performance of the sewage treatment process, saves investment and operating costs while ensuring the quality of effluent water, and ensures the stable and efficient operation of sewage tr...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
A multi-objective optimal control method for municipal sewage treatment process based on an adaptive selection strategy belongs to both the field of control and the field of water treatment, and comprises the following steps of firstly designing a comprehensive optimization model based on the radial basis kernel function to extract complex and time-varying characteristics during wastewater treatment, and establishing a data driving model of effluent quality, aeration energy consumption and pumping energy consumption; secondly, proposing a multi-objective particle swarm optimization algorithm based on the adaptive selection strategy for the characteristics of the data driving model to obtain an optimal variable setting value of the data driving model; using a PID controller to realize tracking control of the optimized setting values of dissolved oxygen SO and nitrate nitrogen SNO; and finally applying the optimal control method to the actual sewage treatment process. The experimental results show that the method can reduce the energy consumption while ensuring the effluent water quality, which is beneficial to the optimal control performance of the wastewater treatment process
Description
technical field [0001] Based on the dynamic characteristics of the sewage treatment biochemical reaction process, the present invention designs a comprehensive optimization framework based on radial basis kernel functions to extract the dynamic characteristics of the sewage treatment process, establishes a dynamic energy consumption and water quality model, and utilizes an adaptive selection strategy based The multi-objective particle swarm algorithm is used to optimize the energy consumption and effluent water quality model, so as to obtain the optimal variable setting value, and realize the dissolved oxygen S through the obtained optimized setting value. O and nitrate nitrogen S NO Concentration tracking control; this optimal control method saves investment and operating costs while ensuring the quality of effluent water, and ensures the stable and efficient operation of sewage treatment plants. It belongs to both the field of control and the field of water treatment. Back...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04C02F9/14
CPCG05B13/042C02F3/30C02F2001/007
Inventor 韩红桂阿音嘎张璐乔俊飞
Owner BEIJING UNIV OF TECH