A pipe burst detection method for water network pipe network based on local outlier factor
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
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
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 ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com