Water affair network pipe network pipe exploding detecting method based on local outlier factors

A technology of outlier factors and detection methods, applied in pipeline systems, gas/liquid distribution and storage, mechanical equipment, etc., can solve problems such as time-consuming and labor costs

Active Publication Date: 2019-09-27
CHONGQING UNIV +1
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] This patent aims at the shortcomings of the existing active leak detection method that it is not easy to obtain marked data, which is particularly time-consuming and labor-intensive, and proposes a water network pipe burst detection ...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Water affair network pipe network pipe exploding detecting method based on local outlier factors
  • Water affair network pipe network pipe exploding detecting method based on local outlier factors
  • Water affair network pipe network pipe exploding detecting method based on local outlier factors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] In this embodiment, firstly, a village-level water supply network hydraulic model is constructed through EPANET software. The water supply network hydraulic model includes:

[0045] One water source: the total water head is set to 500, and enters the pipe network through the water supply node;

[0046] A water pump: the pump curve can be selected arbitrarily, and the equation of the curve used in this example is;

[0047] Lift=46.67-1.867×10 -4 × (flow rate) 2 , the unit of head is meter (m), the unit of flow is liter / second (L / s);

[0048] 49 pipe network detection points: the elevation is around 49ft, and the basic water demand is set at 5-10L / s;

[0049] The number of 63 pipe sections: the pipe diameter is selected from DN100-DN400, and the roughness coefficient is 100 by default;

[0050] The pipe network topology diagram of the constructed water supply pipe network hydraulic model is basically as follows: figure 1 shown;

[0051] In the pipe network, three ex...

Embodiment 2

[0082] In this embodiment, the scheme of the present invention is applied in the actual pipe network detection, and the flow chart of the detection method is as follows image 3 As shown, the details are as follows

[0083] S1: Collect the detection data at the current moment of each detection point in the pipeline network to be detected, and the historical detection data at the same moment in the past many days;

[0084]S2: Calculate the outlier factor of the detection data at each detection point at the current moment according to the detection data at the current moment of each detection point and the historical detection data;

[0085] S3: obtain the spatial adjacency relation of detection point, and according to the outlier factor of two adjacent detection points current moment, calculate the burst pipe probability of the pipe section between two adjacent detection points;

[0086] S4: Judging whether the pipe explosion probability of each pipe section is greater than a ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of water affair network pipe network detection, in particular to a water affair network pipe network pipe exploding detecting method based on local outlier factors. The method includes the steps that S1: detection data of each detection point in a to-be-detected pipe network at the current moment and historical detection data at the same moment in the past few days are collected; S2: according to the detection data of each detection point at the current moment and the historical detection data, the outlier factors of the detection data of each detection point at the current moment are calculated; S3: the space adjacent relationship of the detection points is acquired, and according to the outlier factors of every two adjacent detection points at the current moment, the pipe exploding probability of pipe segments between every two adjacent detection points is calculated; and S4, whether the pipe exploding probability of each pipe segment is larger than a preset threshold value or not is judged, if the pipe exploding probability of each pipe segment is larger than the threshold value, it is judged that pipe exploding happens to the pipe segment, and otherwise, it is judged that no pipe exploding happens. Due to the method, it is not needed to know about labels of data, practicability is achieved, and the pipe network pipe exploding detecting feasibility is higher.

Description

technical field [0001] The invention relates to the technical field of detection of water network pipe networks, in particular to a method for detecting pipe bursts in water network pipe networks based on local outlier factors. Background technique [0002] Water resources are an indispensable resource in every country and an integral part of the development of human civilization. People's demand for water is increasing, and the pollution of water resources is also increasing. Fresh water resources are scarce, so all parts of the world They are all very short of water, and after relevant investigations and studies, the problem of water shortage in my country is even more serious, far below the world average. With the rapid and continuous development of cities in our country, and the general increase of population, the demand for water resources has become very large. Saving water resources is an important method to effectively alleviate the shortage of water resources, and r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): F17D5/02
CPCF17D5/02
Inventor 刘涛杨桃陈沛中蒲茂清王鹏程李清洪
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products