Online Water Quality Conversion Model for Real-Time Sewage Simulation
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Solution Overview
Problem
Current sewage treatment plants face challenges in achieving consistent effluent quality due to fluctuations in influent load and biological system characteristics, with existing simulation software only capable of offline simulations, lacking real-time monitoring and control capabilities.
Innovation Solution
An online model water quality conversion method and system that converts real-time monitored data into influent components required by activated sludge models, using COD, ammonia nitrogen, and pH values to simulate effluent quality in real-time, enabling direct operation of sewage treatment plant models and optimizing operation strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If commercial simulation software (BioWin, STOAT, Aquasim) is used for offline simulation, then the theoretical foundation and maturity of the simulation model are improved, but the real-time simulation and control capability is lost
Solution Approach 1:
The patent creates a simplified copy of the complex ASM1 model by establishing conversion relationships between conventional water quality indexes and model components. This copy enables real-time simulation using readily available monitoring data while maintaining the essential simulation capabilities of the original model.
Solution Approach 2:
The patent transforms the simulation approach by changing parameters from requiring direct measurement of 13 model components to using 3 conventional indexes (COD, ammonia nitrogen, pH) with conversion formulas. This parameter transformation enables real-time operation while preserving model reliability.
2Adaptability or versatility
If conventional influent quality indexes are converted into model influent components, then the compatibility with ASMs series model is improved, but the complexity of data conversion increases
Solution Approach 1:
The patent introduces conversion formulas as intermediary tools that bridge conventional water quality indexes and model components. These formulas act as mediators that automatically transform data between different representation systems, reducing manual conversion complexity.
Solution Approach 2:
The patent makes the conversion system universal by establishing general conversion relationships that can handle multiple water quality parameters (COD, ammonia nitrogen, pH) and transform them into various model components, making the system adaptable to different monitoring scenarios.
3Productivity
If online monitoring instruments are installed to monitor influent quality indexes, then the real-time monitoring capability is improved, but the capability to detect all required indexes (SS, TN) is insufficient
Solution Approach 1:
The patent extracts the essential information needed for simulation from the full set of model components. By identifying that only 3 key indexes (COD, ammonia nitrogen, pH) are needed as inputs to the conversion formulas, it removes the requirement for installing instruments for all 13 model components.
Solution Approach 2:
The patent creates a simplified monitoring scheme that copies only the most critical parameters from the complete set of model components. This selective copying approach maintains simulation accuracy while reducing instrument requirements.
4Measurement precision
If influent component measurement methods are used for offline simulation, then the measurement accuracy is improved, but the real-time simulation efficiency is reduced
Solution Approach 1:
The patent performs preliminary action by pre-establishing conversion formulas that encode the relationship between conventional indexes and model components. This preliminary preparation eliminates the need for time-consuming component measurements during real-time operation.
Solution Approach 2:
The patent replaces the mechanical measurement system (labor-intensive component analysis) with a computational system (conversion formulas). This substitution maintains measurement precision through mathematical relationships while eliminating time losses associated with physical measurements.
Data Source
AI summary
An online model water quality conversion method and system, an electronic device, and a medium. The method may include: determining a type of online real-time data (101); establishing a conversion formula for calculation data and the online real-time data (102); acquiring water quality data over the years, determining conversion-related parameters of the conversion formula, and establishing a water quality data conversion model (103); and substituting the online real-time data obtained by real-time measurement into the water quality data conversion model, and performing real-time conversion to obtain the calculation data (104). According to the method, by converting online monitored data indexes into influent components required by the model, a sewage treatment plant model can be directly operated as an input source of an online simulation model, thereby laying a foundation for later simulation of effluent quality.