Burst Signal Identification Of Water Distribution System Study Adaptive Kalman Filter Method

As the pipeline ages,the water supply pipe network in many cities in China is in the stage of overdue service,and the pipe burst accident frequently occurs.Statistics show that some small and medium-sized pipe networks have been smashed hundreds of times a year,and large-scale pipe networks have even reached thousands of times,making the leakage rate not increasing.The National Twelfth Five-Year Plan for the Recons truction and Construction of Urban Water Supply Facilities and the Vision for Vision 2020 clearly states that China's water supply pipe network is seriously leaky,bursting frequently,and even causing water cuts throughout the city,which will reduce pipe network leakage.As one of the three important short-term goals.It can be seen that the research on leakage control and blasting signal identification of water supply pipe network has important practical value.In recent years,more and more water plants in China have established SCADA systems to monitor the water supply and water pressure of pipeline networks in real time.The squib will cause an abnormal drop in the water pressure monitoring value and an abnormal increase in the flow monitoring value.C ompared with the use of the listening instrument,the correlation instrument detection or the manual inspection,the real-time flow and water pressure monitoring data can be used to identify the squib in a timely manner.,shorten the pipeline repair time.At present,most of the researches at home and abroad focus on the location of the squib leakage,and the identification of the squib signal is the premise of achieving the positioning.The research on this problem is relatively rare.There are two challenges to the identification of the squib signal in the water supply network: First,how to effectively obtain the squib data.For example,because the squib occurs on the buried pipeline,the water plant often fails to accurately record the time and flow of the squib,which makes it impossible to obtain an effective squib data verification algorithm.Second,the random error of water consumption and monitoring value will cover the real squib signal,making it difficult to identify smaller squibs.In short,h ow to effectively obtain the pipe network flow and pressure monitoring data when the pipe burst,and further research on the smaller pipe burst signal identification algorithm is currently facing difficulties.In response to these two problems,this paper has carried out the following research:1)Research on hydraulic model construction of water supply pipe network;since the real pipe network bursting data cannot be obtained,referring to relevant literatures at home and abroad,this paper establishes pip e network hydraulic model to simulate the pipe burst to obtain the flow and water pressure monitoring data when the pipe bursts..Firstly,the hydraulic model construction research was carried out.The research status of the hydraulic model at home and ab road and the technical principle based on the model were introduced.The current common modeling software was compared.Finally,the WaterGems software was used to construct the hydraulic model of the pipe network.2)Simulation of the delay state of the w ater supply network based on the hydraulic model and simulation of the squib;the actual water consumption changes with time,which causes the hydraulic state of the water supply network to change with time.In order to realize the dynamic simulation of th e water supply pipe network,the delay hydraulic state simulation of the water supply pipe network was carried out,and the pipe bursting simulation was carried out based on this.Firstly,the time series analysis method is used to analyze the change law o f water consumption.The Cramer decomposition theorem and MATLAB software are used to simulate the water characteristic curve.The basic hydraulic model is used to construct the delay state model of the water supply network.The delay state model of the water supply network is used.The blasting state simulation is performed on the basis.The leakage point ratio is used to reflect the size of the explosion point.The leakage coefficient is used to solve the jet coefficient required by the WaterGems software to simulate the squib.The squib model of the water supply network is constructed to obtain the flow pressure monitoring data during the squib.3)Based on the monitoring and decomposition of the water cycle monitoring data;in-depth analysis found that t he existing burst signal identification method in the data analysis,usually 24 hours of monitoring data as a time series sample,identify the burst by identifying the monitoring data mutation.However,water consumption fluctuates for 24 consecutive hours,making it difficult to identify smaller squib signals.In response to this problem,this paper proposes to decompose and reorganize historical monitoring data according to the water cycle to reduce the random fluctuation of monitoring values.It has been observed that although water consumption fluctuates significantly over 24 hours a day,it is roughly equivalent at the same time of each day or week,which results in a relatively fixed water cycle.Based on the water cycle,the water consumption data is first analyzed in cycles,and the water consumption monitoring values in the same period are extracted to form a new time series,thereby reducing the influence of water consumption fluctuation on the identification of the squib signal.4)Research on the identification of water pipe bursting signal based on adaptive Kalman filter;the basic principle of Kalman filter is to use the weighted average method to estimate the current state variable based on the previous state estimation value and current measure ment value.Since the monitoring data and the system have noise,the optimal estimation can also be regarded as a filtering process.When estimating the current state variable,since the Kalman filter only needs to use the previous state estimation value a nd the current measurement value,it does not need to store the historical state estimation amount and the measurement value,so it has the advantage of high calculation efficiency and is suitable for real-time dynamic data processing..In this paper,ada ptive Kalman filter is used to estimate the water supply pipe network flow monitoring data in real time,and the tube network burst is identified based on the difference between the Kalman filter result and the measured value.The main results of this thesis are as follows:(1)In the core journal "Journal of Chongqing University","Application of Adaptive Kalman Filter in the Explosion Warning of Water Supply Pipe Network";(2)Registration of "Based Kalman Filter Data" in China Copyright Protection Ce nter Software for the "Processing Software" and "PNN-based Water Supply Pipe Network Explosion Prediction Program Software".It laid the foundation for studying the identification of squib signals.