Research Of Online Monitoring Technology Based On The Safety Of Long-distance Water Pipe Network

In recent years,China’s water supply industry has developed rapidly and the complexity of the pipe network is increasing day by day.Therefore,the monitoring and positioning of hydraulic accidents such as pipe network burst leakage is particularly important.The current mainstream monitoring method for burst leakage events is to obtain real-time operational data of pipe network operation by setting monitoring points,and to achieve monitoring and positioning of burst leakage events through data analysis.For this scheme,this paper improves two monitoring point optimization arrangement schemes with different focuses and solves the optimization arrangement problem for the pressure monitoring points of a town water supply network.Then,using the combination of the arranged measurement points,the negative pressure wave method is applied to simulate and locate the pipe network burst leakage events.The main conclusions of this paper are as follows.(l)Propose an optimized layout plan for monitoring points that prioritize strength.Traditional methods focus on improving the strength value of the combination of measuring points,which can easily trap the measuring points in certain special areas,resulting in lower effective monitoring intensity.Therefore,this article considers the effective monitoring intensity of the system,introduces the distribution of monitoring points into the optimization objective function,and uses genetic algorithm to solve it.When the number of measurement points is fixed at 3,the effective monitoring intensity increases from 38.537 to 50.128.When the number of measurement points is fixed at 5,the effective monitoring intensity increases from 39.600 to 58.500.(2)Propose a breadth priority monitoring point optimization layout plan.Traditional methods improve the monitoring coverage of measurement points by increasing their spacing,although they have certain effects,they cannot achieve maximum monitoring coverage.Therefore,this article introduces the monitoring coverage term into the optimization objective function and compares the maximum monitoring coverage that can be achieved by assigning different weights to the measurement point spacing term and monitoring coverage term.By using genetic algorithm to solve,it was found that the traditional method of increasing the distance between measurement points can achieve a maximum monitoring coverage of 88.1%,while the proposed algorithm for improving monitoring coverage can achieve a maximum monitoring coverage of 92.5%.(3)Propose an optimization method for the number of monitoring points that balances monitoring performance and economic cost.To provide evaluation criteria for the monitoring effect and economic cost of the combination of measurement points,the evaluation criteria are abstracted as objective functions to quantitatively evaluate the advantages and disadvantages of the current measurement points.And the method was applied to the actual pipeline network for testing,and the optimal number of measurement points was found to be 5.(4)Research on leak location algorithm based on negative pressure wave.Affine transformation,wavelet transform and correlation analysis are used to process the pressure signal after the leak event,and the time difference between the negative pressure wave reaching the two ends of the monitoring point is obtained,so as to realize the accurate location of the leak event.And through comparative experiments,the following conclusion can be drawn:when the explosion is small,the positioning error of wavelet transform is small.When the pipeline is long,the positioning error of affine transformation is small.When the noise level is low,the positioning error of wavelet transform is small,and when the noise level is high,the positioning error of correlation analysis is small.The algorithm proposed in this article is simple to implement,significantly improves the effectiveness compared to traditional methods,and has strong universality and feasibility.It can fully guide the layout of explosion monitoring points along the pipeline network,meet the monitoring and positioning needs of explosion events,and has high theoretical and practical value.