CN-122017137-A - Quality detection method and system for hydraulic engineering pipeline

CN122017137ACN 122017137 ACN122017137 ACN 122017137ACN-122017137-A

Abstract

The invention discloses a quality detection method and system for a hydraulic engineering pipeline, and belongs to the technical field of detection. The method comprises the steps of constructing an environment interference model to obtain an environment interference coefficient, constructing a detection probe state model to obtain a state coefficient, constructing a data-pipeline stability model to output stability, constructing an optical working condition matching degree model based on the coefficient and the water turbidity in the pipeline and the internal wall reflectivity, and finally combining the matching degree, the stability and the current imaging unit temperature, and dynamically adjusting the core temperature of the target imaging unit through a temperature optimization model. According to the invention, through multi-source information fusion and layering modeling, comprehensive evaluation and self-adaptive regulation and control of pipeline detection environments are realized, and the detection quality and system stability under complex working conditions are remarkably improved.

Inventors

ZHAN HAISHENG
LI XIAOBING
YONG BO

Assignees

四川南充水利电力建筑勘察设计研究院
四川省升钟水利工程运管中心

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (10)

1. The quality detection method for the hydraulic engineering pipeline is characterized by comprising the following steps of: Acquiring an environmental interference coefficient based on the intensity of an environmental electromagnetic field, the vibration acceleration of a carrier platform and the sound pressure level of background noise in a pipeline; Acquiring a detection probe state coefficient based on the dirt thickness of an optical probe window, the fluctuation rate of probe power supply voltage and the real-time yaw angular velocity of a carrier; constructing a data-pipeline stability model based on the continuous loss times of the data packets, the signal-to-noise ratio of the wireless communication link and the air pressure mutation frequency in the pipeline to output data-pipeline stability; acquiring the matching degree of the optical working condition based on the environment interference coefficient, the turbidity of the water in the pipeline and the reflectivity of the inner wall of the pipeline under the state coefficient of the detection probe; And constructing a temperature optimization model based on the optical working condition matching degree, the data-pipeline stability and the current imaging unit core temperature to obtain the target imaging unit core temperature.
2. The quality detection method for hydraulic engineering pipelines according to claim 1, wherein the temperature optimization model is expressed as: Wherein, the Indicating the core temperature of the target imaging unit, Indicating the current imaging unit core temperature, Representing the data-pipe stability level, The degree of matching of the target optical working condition is represented, And the matching degree of the optical working conditions is represented.
3. The quality detection method for hydraulic engineering pipelines according to claim 2, wherein the optical working condition matching degree is obtained by the following steps: Acquiring the turbidity of water in a pipeline and the reflectivity of the inner wall of the pipeline; carrying out ratio processing on the absolute difference value between the turbidity of the water in the pipeline and the reflectivity of the inner wall of the pipeline and the corresponding ideal value and the corresponding allowable deviation ideal value to obtain a turbidity deviation index and a reflectivity deviation index; based on the environment interference coefficient, the turbidity deviation index and the reflectivity deviation index under the detection probe state coefficient, the optical working condition matching degree is obtained through an optical working condition matching degree model, and the optical working condition matching degree model is expressed as: Wherein, the The degree of matching of the optical working conditions is represented, Representing the coefficient of the environmental interference, The detection state coefficient is represented by a value representing the detection state coefficient, Indicating the turbidity deviation index, Indicating a reflectivity deviation index, said And the larger the value the greater the optical imaging potential.
4. The quality detection method for hydraulic engineering pipelines according to claim 2, wherein the data-pipeline stability is obtained by the following steps: acquiring the continuous loss times of data packets, the signal-to-noise ratio of a wireless communication link and the air pressure mutation frequency in a pipeline; Importing the continuous loss times of the data packet into a formula Acquiring a packet loss number index, wherein, The number of continuous packet loss times of the data packet is represented, Representing the reference continuous packet loss times; Importing a wireless communication link signal-to-noise ratio into a formula The signal-to-noise ratio index is obtained, Representing the signal-to-noise ratio of the wireless communication link, Representing a reference signal-to-noise ratio; leading-in formula for air pressure mutation frequency in pipeline The index of the air pressure mutation frequency is obtained, Indicating the abrupt change frequency of the air pressure in the pipeline, Reference mutation frequency; and acquiring the stability of the data-pipeline through the data-pipeline stability model based on the packet loss frequency index, the signal-to-noise ratio index and the air pressure mutation frequency index.
5. The quality detection method for hydraulic engineering pipelines according to claim 3, wherein the detection probe state coefficient is obtained by the following steps: acquiring the dirt thickness of an optical probe window, the fluctuation rate of the power supply voltage of the probe and the real-time yaw angular speed of a carrier; performing maximum-minimum normalization processing on the dirt thickness of an optical probe window, the fluctuation rate of the power supply voltage of the probe and the real-time yaw rate of the carrier to obtain a dirt thickness index, a voltage fluctuation index and a yaw rate index; And acquiring a detection probe state coefficient through a detection probe state model based on the dirt thickness index, the voltage fluctuation index and the yaw rate index.
6. The quality detection method for hydraulic engineering pipelines according to claim 3, wherein the environmental interference coefficient is obtained by the following steps: acquiring the intensity of an environmental electromagnetic field, the vibration acceleration of a carrier platform and the sound pressure level of background noise in a pipeline; Performing maximum-minimum normalization processing on the intensity of an environmental electromagnetic field, the vibration acceleration of a carrier platform and the sound pressure level of background noise in a pipeline to obtain a magnetic field intensity index, a vibration index and a noise sound pressure level index; Based on the magnetic field intensity index, the vibration index and the noise sound pressure level index, an environmental interference coefficient is obtained through an environmental interference model, and the environmental interference model is expressed as: Wherein, the Representing the coefficient of the environmental interference, Indicating the index of the magnetic field strength, The vibration index is indicated as such, Representing the noise sound pressure level index, said And the larger the value the stronger the environmental interference.
7. The method for quality inspection of hydraulic engineering pipeline according to claim 4, wherein the data-pipeline stability model is expressed as: Wherein, the Representing the data-pipe stability level, The index of the number of times of packet loss is represented, Represents the signal-to-noise ratio index, Represents the air pressure mutation frequency index, the And the larger the value, the more smooth the overall operation of the system.
8. The hydraulic engineering pipeline-oriented quality detection method according to claim 5, wherein the detection probe state model is expressed as: Wherein, the The detection state coefficient is represented by a value representing the detection state coefficient, The scale thickness index is indicated as such, Representing an index of the voltage fluctuation, The yaw rate index is represented by a yaw rate index, Represent weight coefficients and The said And the larger the value the worse the probe state is detected.
9. The hydraulic engineering pipeline-oriented quality detection method according to claim 6, wherein the environmental interference model is expressed as: Wherein, the Representing the coefficient of the environmental interference, Indicating the index of the magnetic field strength, The vibration index is indicated as such, Representing the noise sound pressure level index, said And the larger the value the stronger the environmental interference.
10. A hydraulic engineering pipeline-oriented quality detection system, characterized in that the hydraulic engineering pipeline-oriented quality detection method according to any one of claims 1-9 is adopted.

Description

Quality detection method and system for hydraulic engineering pipeline Technical Field The invention belongs to the technical field of detection, and particularly relates to a quality detection method and system for a hydraulic engineering pipeline. Background The hydraulic engineering pipeline is used as a key structure of a water delivery system, a drainage system and the like, and the quality state of the hydraulic engineering pipeline is directly related to engineering safety and operation efficiency. Therefore, developing a high-efficiency and accurate pipeline quality detection method and system has important significance for preventing diseases such as pipeline leakage, deformation, corrosion and the like and improving the intelligent level of operation and maintenance. Currently, pipeline quality detection is mostly dependent on manual inspection, single sensor detection or fixed threshold-based automation systems. Common technologies include endoscope visual detection, acoustic detection, electromagnetic detection and the like, and although the methods can acquire local information, the methods are easily influenced by multiple factors such as environmental interference, equipment state, data communication stability and the like in complex and changeable pipeline internal environments, so that the reliability of detection results is insufficient, and the systematic evaluation and self-adaptive adjustment capability of the overall detection working condition is lacking. In the prior art, a certain kind of influencing factors are often considered in isolation, a collaborative evaluation model for multi-source information fusion is not established, and stable and high-precision quality detection is difficult to realize in a strong-interference and changeable actual engineering environment. Especially in optical detection, factors such as environmental interference, probe fouling, communication packet loss, water quality turbidity and the like commonly influence imaging quality, and the traditional method lacks comprehensive modeling and real-time regulation and control mechanisms for the factors, so that the detection efficiency is low and the adaptability is poor. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a quality detection method and a quality detection system for a hydraulic engineering pipeline, which solve the problems. The invention aims to realize the purpose by adopting the following technical scheme that the quality detection method for the hydraulic engineering pipeline comprises the following steps: Acquiring an environmental interference coefficient based on the intensity of an environmental electromagnetic field, the vibration acceleration of a carrier platform and the sound pressure level (unit dB) of background noise in a pipeline; Acquiring a detection probe state coefficient based on the dirt thickness of an optical probe window, the fluctuation rate of probe power supply voltage and the real-time yaw angular velocity of a carrier; constructing a data-pipeline stability model based on the continuous loss times of the data packets, the signal-to-noise ratio of the wireless communication link and the air pressure mutation frequency in the pipeline to output data-pipeline stability; acquiring the matching degree of the optical working condition based on the environment interference coefficient, the turbidity of the water in the pipeline and the reflectivity of the inner wall of the pipeline under the state coefficient of the detection probe; And constructing a temperature optimization model based on the optical working condition matching degree, the data-pipeline stability and the current imaging unit core temperature (chip temperature) to obtain the target imaging unit core temperature. Based on the technical scheme, the invention also provides the following optional technical schemes: The further technical proposal is that the temperature optimization model is expressed as: Wherein, the Indicating the core temperature of the target imaging unit,Indicating the current imaging unit core temperature,Representing the data-pipe stability level,The degree of matching of the target optical working condition is represented,And the matching degree of the optical working conditions is represented. The further technical proposal is that the optical working condition matching degree is obtained by the following steps: Acquiring the turbidity of water in a pipeline and the reflectivity of the inner wall of the pipeline; carrying out ratio processing on the absolute difference value between the turbidity of the water in the pipeline and the reflectivity of the inner wall of the pipeline and the corresponding ideal value and the corresponding allowable deviation ideal value to obtain a turbidity deviation index and a reflectivity deviation index; based on the environment interference coefficient, the turbidity deviation index and the reflectivity deviati