Pipe network fault diagnosis and positioning method and system based on pressure wave mode recognition

A technology of fault diagnosis and positioning method, applied in character and pattern recognition, measurement of fluid pressure, measurement device, etc., can solve problems such as leakage of heating pipe network, affecting the economy and safety of heating network, abnormal changes of valves, etc. Precise repair suggested effect

Pending Publication Date: 2020-09-22
浙江英集动力科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Ultra-high transmission speed, support for massive equipment connections, and millisecond-level low latency will effectively solve the problems existing in the current heating network. In the operation of the pipeline network, high-speed and low-latency communication network technology is adopted, and the pressure sensor installed in the pipeline network Collect and obtain the operating pressure parameters of the heating network, so as to build an all-round state detection and operation perception system for the entire network, which will further solve operational safety faults such as leakage, pipe burst, and abnormal valve changes that may occur during the operation of the heating pipe network. Moreover, there is no rule to find the time and place of occurrence, which seriously affects the economy and safety of the heating network operation.

Method used

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  • Pipe network fault diagnosis and positioning method and system based on pressure wave mode recognition
  • Pipe network fault diagnosis and positioning method and system based on pressure wave mode recognition
  • Pipe network fault diagnosis and positioning method and system based on pressure wave mode recognition

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Embodiment 1

[0075] figure 1 It is a flow chart of the method for diagnosing and locating pipeline network faults based on pressure wave pattern recognition involved in the present invention.

[0076] Such as figure 1 As shown, this embodiment 1 provides a pipeline network fault diagnosis and location method based on pressure wave pattern recognition, including: information collection; information preprocessing; fault characteristic parameter extraction according to the preprocessed information; fault characteristic parameter extraction Fault diagnosis; fault location; and sending fault information based on fault diagnosis and location, providing a more realistic evaluation and practical feasibility for the intelligent, smart, and safe operation of the heating system, and also for the management Network operators provide more accurate fault types and corresponding repair suggestions, and provide a complete set of intelligent fault diagnosis and location methods and systems for heating pip...

Embodiment 2

[0138] On the basis of embodiment 1, this embodiment 2 also provides an operation monitoring terminal, which is suitable for extracting fault characteristic parameters according to preprocessed information, performing fault diagnosis according to fault characteristics, and locating the fault. Send fault information based on fault diagnosis and location.

[0139] In this embodiment, the operation monitoring terminal is adapted to use the pressure wave pattern recognition-based pipe network fault diagnosis and location method involved in Embodiment 1 to extract fault characteristic parameters based on preprocessed information, and to perform fault Diagnose, locate the fault, and send fault information according to fault diagnosis and location.

Embodiment 3

[0141] On the basis of Embodiment 1 and Embodiment 2, this Embodiment 3 also provides a pressure wave acquisition node, and the pressure wave acquisition node is provided with a pressure wave collector to collect information and send the information, that is, to collect and diagnose The transient pressure wave signal in the pipe network pipe of the pipe network system, and send the transient pressure wave signal.

[0142]In this embodiment, the pressure wave collection node is adapted to use the information collection method described in Embodiment 1 to collect transient pressure wave signals.

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Abstract

The invention belongs to the technical field of fault monitoring, diagnosis and positioning of the industrial Internet, and particularly relates to a pipe network fault diagnosis and positioning method and system based on pressure wave mode recognition, and the method comprises the steps: collecting information; preprocessing the information; carrying out fault feature parameter extraction according to the preprocessed information; performing fault diagnosis according to the fault characteristic parameters; positioning the fault; sending fault information according to fault diagnosis and positioning. More real evaluation and practice feasibility are provided for intelligent, intelligent and safe operation of a heat supply system, more accurate fault types and corresponding repair suggestions are provided for pipe network operators, and a complete set of heat supply pipe network intelligent fault diagnosis and positioning method and system is provided.

Description

technical field [0001] The invention belongs to the technical field of fault monitoring, diagnosis and positioning of the industrial Internet, and in particular relates to a method and system for fault diagnosis and positioning of a pipe network based on pressure wave pattern recognition. Background technique [0002] District central heating system consists of three parts: heat source, heat network and heat users. Among them, the heating network, as an important part of the heating system, undertakes the task of transporting and distributing the heat from the heat source to various heat users in a timely manner, and acts as a bridge connecting the two. The aging, corrosion, sudden natural disasters and man-made damage of the pipe network will cause the pipe network to rupture or even leak. If it is not discovered and remedied in time, it will not only cause economic losses, pollute the environment, but also endanger personal safety and even cause disasters. ACCIDENT. Ther...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01L19/06
CPCG01L19/0672G06F2218/06G06F2218/12
Inventor 林小杰时伟孙鑫楠赵琼
Owner 浙江英集动力科技有限公司
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