Sewage Pipe Network Hydraulic Model Using 3D Geographic Population Data
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Solution Overview
Problem
Existing methods for building sewage pipe network hydraulic models face challenges in accuracy due to the multi-solution problem, where flow check results deviate from reality due to reliance on pipe length and catchment area data, leading to false alarms and inefficiencies in online monitoring systems.
Innovation Solution
A method using three-dimensional geographic information to estimate population corresponding to manhole nodes, distributing population to nearest manholes, and applying optimization algorithms to determine influent time series and flow adjustment coefficients, thereby building an accurate hydraulic model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pipe length and catchment area are used as prior information to check the sewage pipe network model, then the calculation is simplified, but the flow check results deviate from reality leading to false alarms
Solution Approach 1:
The patent changes the prior information parameters from traditional pipe length and catchment area to population data. This parameter transformation resolves the contradiction by using population (which better reflects actual sewage generation) instead of geometric parameters, thereby improving flow check accuracy while maintaining computational simplicity through optimization algorithms.
Solution Approach 2:
The patent replaces the mechanical/geometric-based flow distribution method (pipe length and catchment area) with an optimization-based method using population data. This substitution allows the system to achieve more accurate flow check results by using population statistics instead of physical dimensions, eliminating false alarms while keeping the process computationally efficient.
2Measurement precision
If population data is used as prior information to check the sewage pipe network model, then the flow check accuracy is improved, but the data acquisition becomes more difficult
Solution Approach 1:
The patent introduces three-dimensional geographic information as an intermediary to bridge the gap between population data acquisition and model application. This intermediary layer allows the system to access and process population data through spatial relationships, making the data acquisition process more systematic and manageable while maintaining the accuracy benefits of using population-based prior information.
3Productivity
If limited monitoring data is used to calculate flow time series, then the online monitoring system can be established, but the multi-solution problem arises making it difficult to determine unique flow sets
Solution Approach 1:
The patent implements a feedback mechanism through optimization algorithms that iteratively adjust flow time series calculations based on monitoring data and population prior information. This feedback process resolves the multi-solution problem by continuously refining the flow estimates until a unique, physically meaningful solution is achieved, thereby maintaining monitoring system efficiency while eliminating ambiguity in flow determination.
Solution Approach 2:
The patent changes the approach to flow calculation by introducing population data as a constraining parameter. This parameter change transforms the under-determined system (with multiple possible flow solutions) into a well-determined system where the population-based prior information uniquely identifies the correct flow time series, thereby resolving the multi-solution problem while maintaining monitoring efficiency.
Data Source
AI summary
Disclosed is a sewage pipe network hydraulic model building method based on three-dimensional geographic information. According to the method, physical corresponding relation between each manhole node of the sewage pipe network and surrounding buildings is obtained through the three-dimensional geographic information, the population of the sewage pipe network is estimated as prior information according to the corresponding relation, an optimization algorithm is used to determine the total influent time series of all manhole nodes in a region based on the population proportion, and flow fluctuation coefficient for each manhole node is optimized and calculated, such that the influent time series of each manhole node is determined, and the sewage pipe network hydraulic model is built accurately. The present disclosure further provides a method that uses the population data to replace the pipe length/catchment area data as the prior information for sewage pipe network flow check.