| The safety of drinking water quality is a basic guarantee related to the national economy and people’s livelihood.In the water supply system,the water quality of the factory water is monitored in real time,and the safety is guaranteed.However,the water supply pipeline network is affected by factors such as city scale,topography,and population distribution.Under the current conditions,it is difficult to achieve full coverage of the pipeline network throughout the entire period of time.In order to quickly monitor the water supply network pollution incidents caused by sudden external sources,it is necessary to reasonably arrange monitoring points under the existing conditions to realize the real-time monitoring of the water supply network scope to maximize and optimize(special water use units,such as hospitals,schools),The response time is minimized,thereby improving the ability of the urban water supply system to monitor sudden external pollution.The research is a sub-project under the national key research and development project(2017YFC0404706).Based on the data of the water supply pipe network in the C area of Chongqing City,combined with the characteristics of the typical mountainous city pipe network in the area and the nature of the city water unit,the best monitoring node in the area is studied The site selection plan provides early warning for decision-makers to quickly respond to sudden external pollution problems.The main conclusions of the study are as follows:Based on the basic data of the city’s real pipe network,the EPANET2 software is used to construct a quasi-dynamic hydraulic model of the pipe network.According to the actual operation mode of the pumping station,24 sets of hydraulic data are processed according to the working conditions,and the correlation coefficient method is used to fit the hydraulic data in each working condition,which simplifies the calculation and can effectively reflect the actual hydraulic parameters of the pipeline network.Based on the above hydraulic model data,comprehensively considering 12 influencing factors,using the fuzzy analytic hierarchy process to quantitatively analyze the differences of the pipe network nodes,the pipe network "node index" model is constructed,which covers the differentiation research of all nodes and is more scientific Sex.Innovatively introduce a new objective function "minimum repeated monitoring rate" as a decision quantity,and the optimized three-objective model solves the problem of excessive concentration of monitoring points in the traditional optimization scheme.Use the NSGA-II algorithm to solve the above-mentioned three-objective optimization model.The results show that: compared with the traditional optimization model,the optimization model after introducing the "repetitive monitoring rate" objective function can provide decision-makers with a higher-dimensional decision-making basis,and improve the optimization of the urban water supply network’s sudden external pollution monitoring points.Comprehensiveness and effectiveness.Taking the example pipe network as an example,compared with the traditional model,the improved optimization model’s monitoring coverage has increased by 4.94%,and the repeated monitoring coverage has been reduced by 6.84%.The water supply pipe network in C area of Chongqing City is selected as a case.After partitioning,the model is modeled separately,and the model is solved by the above method.Finally,the most optimal location plan for monitoring points in this area to respond to sudden external pollution incidents is obtained.Among them,the number of monitoring points in the water supply area of the water plant is 21,the monitoring coverage rate is 84.02%,and the repeated monitoring coverage rate is 125.9%. |
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