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Water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models

A technology for water supply network and abnormal events, which can be used in forecasting, instrumentation, data processing applications, etc.

Active Publication Date: 2016-07-06
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Among them, the microscopic model needs to know the detailed information of the pipe network system, such as the topological structure of the pipe network, the material, length, diameter, friction and other specific information of the pipe section, and there are few domestic application researches based on the microscopic model.

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  • Water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models
  • Water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models
  • Water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models

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Embodiment Construction

[0049] In order to make the technical means and creative features realized by the present invention easy to express, the real-time mode of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0050] In this example, a DMA (DistrictMeteringArea) area is considered, and there are 10 effective pressure measuring points, and its geographical location is as follows figure 1 . At the same time, three water inlet pressure points (represented by P1, P2, P3) and water consumption in DMA area are introduced as exogenous variables. The time range of pressure data is from March 20, X to April 3, X, and the data from March 20 to April 2 is used to establish a model to detect the abnormal event of "5 simulated pipe burst tests" on April 3. Measurement. Here, only pressure values ​​are used for illustration, but the method of the present invention is also applicable to flow values.

[0051] Step 1. Determine input da...

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Abstract

The invention discloses a water supply pipe network abnormal event detection method based on VARX (a Vector Auto-Regressive with eXogenous variables) models. The method comprises following steps of grouping detection points; determining input samples; building the VARX models according to subgroups; predicting pressures; calculating differences; calculating the average value of the differences and a standard difference; and detecting abnormal events according to abnormal event judging rules. The water supply pipe network abnormal event detection method based on the models adopts difference analysis and has the advantages of high anti-interference performance and high detection capability.

Description

technical field [0001] The invention belongs to the field of urban water supply, in particular to a method for detecting abnormal events of a water supply pipe network based on a VARX model. Background technique [0002] Hidden leaks and burst pipes are two common abnormal events in urban water supply pipe networks. The former has the characteristics of long duration, small scale, and imperceptibility, while the latter is just the opposite, characterized by suddenness, uncertainty, and large scale. . It is particularly important for the safe operation of the water supply network to discover leakage events in the water supply network in time, accurately locate the location of the event, and take rapid measures to prevent the situation from deteriorating. [0003] At present, the detection of abnormal events in the water supply network is mainly based on the micro-hydraulic model and the macro-data model. Among them, the microscopic model needs to know the detailed informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 徐哲熊晓锋洪嘉鸣何必仕陈云
Owner HANGZHOU DIANZI UNIV
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