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A Method of Abnormal/Fault Location Detection Based on Binary Tree Model

A technology of fault location and detection method, applied in gas/liquid distribution and storage, electrical components, transmission systems, etc., can solve problems that are not suitable for pipeline leakage detection, difficult to distinguish the difference between pressure fluctuations and pressure fluctuations, and have not formed mature applications. technical system and other issues to achieve the effect of system detection and fault judgment

Active Publication Date: 2016-08-31
HOHAI UNIV
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Problems solved by technology

The negative pressure wave method is more effective in detecting sudden large-scale leaks, but for persistent and small-scale leaks, negative pressure waveforms are not easy to identify and detect
In a multi-branch pipeline network, the negative pressure wave method is difficult to distinguish the difference between the pressure fluctuation caused by the instantaneous diversion of the branch or node and the pressure fluctuation caused by the real leakage; therefore, it is not suitable for the leakage detection of the pipeline
The soft sensing method developed in recent years has been initially applied to detect and locate faults, but a mature application technology system has not yet been formed in China

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  • A Method of Abnormal/Fault Location Detection Based on Binary Tree Model
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  • A Method of Abnormal/Fault Location Detection Based on Binary Tree Model

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Embodiment Construction

[0017] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0018] The anomaly / fault location detection method based on the binary tree model firstly abstracts the physical structure of the urban drainage network into a tree structure of graph theory, and then transforms the tree structure into a binary tree structure. Use the basic principle of binary tree to describe the characteristics of the drainage pipe network, and abstract each section of pipe in the pipe network into a node in the tree; the physical connectivity of the pipe is represented by the ed...

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Abstract

The invention discloses an abnormality / fault location detection method based on a binary tree model. First, the physical layout of the industrial pipe network is transformed into a binary tree structure model, and the detected data is stored in a corresponding node of the binary tree; secondly, according to the properties of the binary tree , and the correlation of information between each detection node, using the flow conservation property of the industrial pipe network data flow, the calculation of the data flow of the undeployed sensor node is realized; thirdly, according to the actual measurement value and calculation of the sensor deployed at the detection point of the industrial pipe network The relationship between values, analyze the operating conditions of the industry, and judge its abnormal / fault type; finally, use the structural characteristics of the binary tree model to analyze the abnormal / fault location of the industrial pipe network and give an early warning. The inventive system is simple in design and low in cost, breaks through the detection of abnormalities / faults by traditional manual inspection methods, and realizes real-time detection of industrial pipe network working conditions in real time under the condition of limited detection points.

Description

technical field [0001] The invention relates to an abnormal / fault location detection method based on a binary tree model. According to the data detected by deployed limited sensors, using the properties of a binary tree, the data values ​​of undeployed sensor nodes are inverted and calculated; according to the flow conservation characteristics of industrial pipeline data streams , the relationship between the actual detection data and the calculated data value of the deployment detection point, online judgment of the fault type, and the corresponding location of the fault. This technology breaks through the limitations of the traditional manual inspection method for fault detection and the time lag of data, and realizes the monitoring of pipeline operating conditions under the condition of limited detection points, which belongs to the technical field of fault detection for industrial pipeline network conditions. Background technique [0002] Pipes are widely used in residen...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W84/18H04L29/08F17D5/00F17D5/02
Inventor 邱军林徐立中刘辉沈洁孔成
Owner HOHAI UNIV
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