DOA-Based Pumping Station-LID Joint Optimization
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Solution Overview
Problem
Current urban drainage planning lacks a systematic approach to optimize the joint effects of pumping station drainage flow capacity, regional water surface rates, and LID measure layout rates on runoff yield and concentration processes at the watershed scale.
Innovation Solution
A DOA-based pumping station-LID joint multi-objective optimization method that collects and sorts basic data, fits drainage parameter relationships, establishes objective functions and constraint conditions, determines optimal solutions, and performs multi-objective function optimization calculations to comprehensively consider economic and environmental benefits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pumping station discharge is increased to handle severe rainstorm scenarios, then drainage capacity is improved, but construction cost and operational complexity increase
Solution Approach 1:
The patent combines pumping station discharge capacity with LID measure layout rate into a unified optimization framework. By merging these two previously independent design parameters, the system achieves coordinated optimization where both drainage capacity and LID implementation are optimized simultaneously, reducing overall system complexity while maintaining drainage effectiveness.
Solution Approach 2:
The patent introduces a multi-objective optimization model that changes the design parameters from traditional single-parameter optimization to multi-parameter optimization. By considering both pumping station flow capacity and LID measure layout rate as variable parameters, the system finds optimal solutions that balance drainage capacity requirements with implementation complexity and cost.
2Object-affected harmful factors
If LID measures are expanded to increase source control, then environmental benefits are improved, but construction cost increases
Solution Approach 1:
The patent optimizes the LID measure layout rate as a variable parameter within the multi-objective optimization model. By treating LID implementation rate as an adjustable parameter rather than a fixed design requirement, the system identifies optimal levels of LID measures that achieve effective runoff control while minimizing construction costs.
Solution Approach 2:
The patent uses the DOA algorithm to generate multiple optimal solution sets, effectively copying and evaluating different LID implementation scenarios. This allows the system to identify cost-effective LID measure configurations by virtual testing of different implementation rates without actual construction, reducing the risk of costly misdesign.
3Productivity
If watershed scale planning is implemented to expand regional scale, then drainage effectiveness is improved, but planning complexity increases
Solution Approach 1:
The patent segments the watershed scale drainage system into manageable components: pumping station discharge capacity, LID measure layout rate, and water surface rate. By dividing the complex watershed-scale planning into these segmented parameters, the optimization model can handle the complexity systematically while maintaining overall drainage effectiveness at the watershed scale.
Solution Approach 2:
The patent creates a universal optimization framework that can be applied to different watershed scales and regional conditions. The multi-objective optimization model serves multiple functions: it optimizes drainage capacity, controls runoff, manages costs, and coordinates LID implementation, thereby reducing planning complexity through a single comprehensive tool.
4Measurement precision
If multiple parameters are optimized simultaneously, then solution accuracy is improved, but calculation time increases
Solution Approach 1:
The patent replaces traditional iterative optimization methods with the DOA (Dog Swarm Optimization) algorithm, which uses biological inspiration to achieve faster convergence. This substitution of the optimization mechanism significantly reduces calculation time while maintaining high accuracy in determining optimal pumping station capacity and LID layout rates.
Solution Approach 2:
The patent uses the DOA algorithm to generate multiple candidate solutions through virtual exploration of the parameter space. By copying and evaluating multiple potential optimal solutions simultaneously, the system achieves high measurement precision in identifying the true optimal parameters while reducing the time required compared to single-point iterative methods.
Data Source
AI summary
A DOA-based pumping station-LID joint multi-objective optimization method, mainly including following steps: Step 1: collecting and sorting basic data of a research region; Step 2: fitting drainage parameter relationship expressions; Step 3: establishing an objective function and constraint conditions; Step 4: determining optimal solutions of a single objective function; Step 5: performing multi-objective function optimization calculation; Step 6: selecting an optimal solution. The multi-objective optimization method comprehensively considering economic and environmental benefits is particularly suitable for optimal design of installed flow capacity of a drainage pumping station at a watershed scale and layout rate of different LID measures. According to the method, regulation and storage effects of rivers, lakes, sunken green belts and permeable pavements in planning regions, and drainage effects of pumping stations are comprehensively considered, different solutions are designed according to local conditions, and a global optimal solution is quickly found using a DOA.