Water supply network leakage alarm threshold selection method based on time sequence monitoring data analysis

A technology for monitoring data and time series, applied in data processing applications, forecasting, instruments, etc., can solve problems such as high false alarm rate

Active Publication Date: 2019-08-13
ZHEJIANG UNIV
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Problems solved by technology

Therefore, C R If it is too small, the false alarm rate will be too high

Method used

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  • Water supply network leakage alarm threshold selection method based on time sequence monitoring data analysis
  • Water supply network leakage alarm threshold selection method based on time sequence monitoring data analysis
  • Water supply network leakage alarm threshold selection method based on time sequence monitoring data analysis

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Embodiment Construction

[0066] The invention aims to propose a threshold selection method suitable for improving the performance of leakage monitoring. The innovation point is easy to understand, and the implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples (nt=2 as an example). In the present invention, the flow process of the water supply pipe network leakage alarm threshold selection method is as follows: figure 1 As shown, the specific steps are as follows:

[0067] 1. Establish leakage residual matrix; calculate pressure residual vector.

[0068] Such as figure 2 As shown, City J has 3 water sources, 491 water demand nodes, and 640 pipe sections with a total length of 433.52 kilometers. The output of the water plant is known, and a total of 20 pressure sensors (n s =20).

[0069] (1) Establish a node water demand prediction model to predict the node water demand in the next three time periods (t, t+1, t+2...

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Abstract

The invention discloses a water supply network leakage alarm threshold selection method based on time sequence monitoring data analysis. According to the invention, alarm threshold value is updated inreal time by using the correlation among time sequence data from a plurality of pressure sensors, and leakage alarm is carried out after the real-time monitoring index exceeds the alarm threshold value. The method comprises the following steps: (1) establishing a leakage pressure residual matrix and a non-leakage pressure residual matrix; (2) constructing a space-time maximum correlation matrix;and (3) acquiring the cumulative probability distribution of the maximum correlation coefficient, and selecting a threshold value. According to the method, under the condition that the false alarm rate (false alarm rate) is given, the alarm threshold value can be minimized, the real-time leakage identification rate is further improved, and the method has important significance for improving the comprehensive performance of a leakage alarm system.

Description

technical field [0001] The invention belongs to the category of urban water supply pipe networks, and in particular relates to a method for selecting a water supply pipe network leakage alarm threshold based on time series monitoring data analysis. Background technique [0002] The shortage of water resources is a global problem. In order to make better use of water resources, reduce the cost of water use, and optimize the operation status of the pipeline network system, it is necessary to strengthen the scientific management of the pipeline network system. One of the important aspects is to monitor the operation status of the pipeline network. Timely monitor leakage and report to the police. The real-time early warning and location of water supply network leakage depends on a certain number of pressure sensors installed in the water supply network. The SCADA system transmits the real-time data of the pressure sensor, and obtains the relevant indicators of leakage through n...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G06F2119/12
Inventor 邵煜李昕俞亭超楚士鹏姚华奇
Owner ZHEJIANG UNIV
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