A pipe burst detection method for water network pipe network based on local outlier factor
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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: 2021-08-10
CHONGQING UNIV +1
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[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 based on local outlier factors to detect pipe bursts. Whether the network is broken or not, this method does not need to know the label of the data, which has certain practicability, making the detection of pipe network burst more feasible
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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 ...
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Abstract
The present invention relates to the field of water network pipe network detection technology, and specifically relates to a water network pipe network burst detection method based on local outlier factors, including: S1: collecting detection data at the current moment of each detection point in the pipe network to be detected, And the historical detection data of the same moment in the past many days; S2: calculate the outlier factor of the detection data of each detection point current moment according to the detection data of each described detection point current moment and historical detection data; S3: obtain detection point spatial adjacent relationship, and according to the outlier factor of two adjacent detection points at the current moment, calculate the burst pipe probability of the pipe sections between two adjacent detection points; S4: judge whether the burst pipe probability of each described pipe section It is greater than the set threshold. If it is greater than the threshold, it is judged that the pipe section has burst, otherwise it is judged that there is no pipe burst. This method does not need to know the label of the data, which is practical and makes the pipe burst detection more feasible.
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...
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