Cyclic Water Recycling Control for Real-Time Sewage Treatment Adjustment
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Solution Overview
Problem
Traditional sewage treatment technologies in China face inefficiencies due to imbalances and mis-adjustments during equipment installation and operation, leading to energy waste, high operating costs, and delays in obtaining and monitoring water quality data, lacking intellectualized control systems that can optimize treatment processes.
Innovation Solution
A multi-stage cyclic water resource control system that adjusts sewage treatment conditions such as temperatures, flow rates, chemical addition, and microbial quantities in real-time through a feedback loop involving sensors, optimizers, emulators, and controllers to ensure output water quality meets standards, integrating mechanism and data-driven models for intelligent control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional sewage treatment technologies are used, then basic treatment functions are achieved, but energy waste and high operating costs occur due to imbalances and mis-adjustments
Solution Approach 1:
The patent implements a multi-stage cyclic feedback control system where water quality parameters are continuously monitored and fed back to adjust treatment conditions. Sensors detect parameters such as COD, BOD, ammonia nitrogen, and total phosphorus, and this data is used to dynamically adjust aeration, chemical dosing, and flow rates, eliminating energy waste from imbalances while maintaining easy operation through automated control.
Solution Approach 2:
The system transitions from static treatment conditions to dynamic adjustment based on real-time water quality data. Treatment parameters such as aeration intensity, chemical addition rates, and flow distribution are continuously optimized according to actual water quality conditions, reducing energy consumption while simplifying operation through adaptive control.
2Loss of substance
If traditional sewage treatment technologies are used, then basic treatment functions are achieved, but material consumption increases due to imbalances and mis-adjustments
Solution Approach 1:
The feedback control system monitors water quality parameters and adjusts chemical dosing accordingly. By detecting actual water quality conditions and comparing them with target values, the system optimizes chemical addition rates for coagulants, flocculants, and other treatment chemicals, reducing material consumption while maintaining effective treatment through automated adjustment.
Solution Approach 2:
The system dynamically changes treatment parameters such as chemical concentration, flow rates, and aeration intensity based on real-time water quality data. This allows optimization of material usage by adjusting parameters to match actual treatment needs rather than using fixed, excessive dosing rates.
3Productivity
If intellectualized control systems are introduced, then treatment efficiency and cost optimization are achieved, but system complexity increases
Solution Approach 1:
The control system is divided into modular components including independent sensor modules, control modules for different treatment stages, and a central processing unit. This segmentation allows the complex intellectualized control function to be implemented through manageable modules, improving treatment efficiency while reducing overall system complexity through standardized interfaces and independent operation of each module.
Solution Approach 2:
The control system is designed with multi-functional capabilities that can handle various water quality parameters and treatment processes through a unified platform. The same control architecture manages aeration, chemical dosing, flow control, and data monitoring, achieving high treatment efficiency without proportionally increasing complexity through reusable components and integrated functionality.
4Loss of time
If online water quality monitoring is implemented, then real-time optimization is achieved, but measurement and detection difficulties arise
Solution Approach 1:
Online water quality sensors continuously monitor parameters such as COD, BOD, ammonia nitrogen, and total phosphorus, providing real-time feedback data for optimization. The feedback control system processes this data and adjusts treatment conditions immediately, achieving real-time optimization while overcoming measurement difficulties through automated data collection and processing.
Solution Approach 2:
The system replaces manual water quality testing with automated electronic sensors and data processing. Online sensors continuously measure water quality parameters and transmit data to the control system, eliminating time loss from manual sampling and analysis while overcoming detection difficulties through specialized sensing technology and automated measurement protocols.
Data Source
AI summary
A multi-stage water resource-recycling control system includes a sewage treatment device, a temperature feedback controller, a flow rate feedback controller, a decider, and a feedback controller group; wherein the output end of the sewage treatment device is connected with the input ends of the temperature feedback controller and the flow rate feedback controller, respectively; the output ends of the temperature feedback controller and the flow rate feedback controller are connected with the input end of the decider; the output end of the decider is connected with the input ends of the sewage treatment device and the feedback controller group, respectively; the output end of the feedback controller group is connected with the input end of the sewage treatment device. The objective of the present disclosure is to ensure that the output-water quality reaches the standard.