Novel infrasonic wave sensor suitable for pipe diameter below 100mm

Abstract

The invention relates to the technical field of pipeline leakage detection, and discloses a novel infrasonic wave sensor suitable for pipe diameters below 100mm. The infrasonic wave sensor comprises an infrasonic wave sensing assembly, a wireless communication module and a control module, and pipeline leakage detection model selection parameters and pipeline leakage detection model updating parameters are extracted; selecting a target pipeline leakage detection model matched with the current pipeline diameter state of the target pipeline from the first comparison table, and matching model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table, and updating the currently stored pipeline leakage detection model by using the target pipeline leakage detection model added with the model correction parameters so as to carry out pipeline leakage detection and alarm. Therefore, by comprehensively considering the environmental influence, the pipe diameter change caused by medium transportation wear and the influence of different pipeline flows on the pipeline leakage detection, the pipeline leakage detection accuracy of the infrasonic wave sensor in the scene with the pipe diameter smaller than 100 mm can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of pipeline leakage detection, and in particular to a novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm. Background Art

[0002] Infrasonic sensors have the characteristics of low frequency and long wavelength. In pipeline leakage detection, infrasonic signals can be effectively transmitted over a long distance, which makes infrasonic sensors have good detection accuracy. At the same time, infrasonic sensors can be applied to leakage detection of conveying media of different properties and have good adaptability. In addition, infrasonic sensors can also locate pipeline leakage positions according to the leakage signal characteristics in infrasonic signals, thereby improving the efficiency of pipeline leakage detection and repair. At present, compared with traditional pipeline leakage detection, pipeline leakage detection based on infrasonic sensors has a wide range of applications and market prospects in the current pipeline transportation leakage detection of various conveying media due to the above advantages.

[0003] However, in practical applications, especially in the scenario of pipeline leakage detection with a diameter of less than 100 mm, existing infrasonic sensors still have some limitations in pipeline leakage detection: (1) The infrasonic signal generated by the leakage of pipelines with a diameter of less than 100 mm is relatively weak and more susceptible to interference from background noise, which puts higher accuracy requirements on pipeline leakage detection of infrasonic sensors; (2) When the diameter of a pipeline with a diameter of less than 100 mm changes due to environmental influences (mainly thermal expansion and contraction caused by ambient temperature and deformation caused by squeezing in the installation area), the smaller the diameter of the pipeline, the smaller the pressure on the pipeline. , the percentage of pipe diameter change caused by environmental influences is greater, and the impact on pipeline leakage detection results is more obvious (for example, the change in pipe diameter causes the propagation speed of the infrasound signal to change, making the leakage position obtained by detection far different from the actual position); (3) Pipelines with a diameter of less than 100 mm are also affected by the flow rate of the medium transported by the pipeline. On the one hand, when transporting medium containing impurities for a long time, the impurities will wear the pipe wall and cause the pipe diameter to change. On the other hand, when performing pipeline leakage detection, the current different pipeline medium flow rates will also affect the propagation speed of the infrasound wave, affecting the final pipeline leakage detection results. At present, the existing infrasound sensors do not take into account the impact of the above-mentioned multiple limitations faced by pipes with a diameter of less than 100 mm on the pipeline leakage detection results when performing pipeline leakage detection.

[0004] Therefore, how to consider the impact of multiple factors on pipeline leakage detection and improve the accuracy of pipeline leakage detection of infrasonic sensors in scenarios with pipe diameters below 100 mm is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm, aiming to solve at least one of the above technical problems.

[0006] To achieve the above object, the present invention provides a novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm, comprising an infrasonic wave sensor component, a wireless communication module and a control module; The infrasound wave sensor assembly is attached to the outer wall of the target pipeline and is configured to collect infrasound wave signals generated at the leakage point of the target pipeline and propagated to the infrasound wave sensor assembly through the target pipeline; The wireless communication module is connected to the control module and is configured to receive pipeline leakage detection related information transmitted by the monitoring terminal and send the pipeline leakage detection related information to the control module; The control module connects the wireless communication module and the infrasonic wave sensing component, and is configured to extract a plurality of pipeline leakage detection model update parameters according to the pipeline leakage detection associated information received by the wireless communication module, update the currently stored pipeline leakage detection model using the pipeline leakage detection model update parameters, obtain a real-time pipeline leakage detection model, and generate a pipeline leakage detection result using the real-time pipeline leakage detection model based on the infrasonic wave signal collected by the infrasonic wave sensing component and the stored detection position information of the infrasonic wave sensing component in the target pipeline; The wireless communication module is configured to transmit the pipeline leakage detection result to a monitoring terminal, and drive the monitoring terminal to perform an alarm judgment according to the pipeline leakage detection result.

[0007] Optionally, the pipeline leakage detection associated information includes pipeline flow information and pipeline environment information. The monitoring terminal is electrically connected to the flow monitoring devices of the fluid medium outlets of several branches of the target pipeline and several environmental monitoring components arranged around the target pipeline, and is configured to obtain the branch flow parameters collected by the flow monitoring device of the fluid medium outlet of the branch and the pipeline environment parameters collected by each environmental monitoring component, and convert the branch flow parameters and the pipeline environment parameters into pipeline flow information and pipeline environment information, respectively.

[0008] Optionally, the monitoring terminal specifically includes: A plurality of first parameter collection ports, connected to a plurality of flow monitoring devices, configured to obtain branch flow parameters of a fluid medium discharge outlet of a corresponding branch collected by each flow monitoring device; A plurality of second parameter collection ports are connected to a plurality of environmental monitoring components and are configured to obtain pipeline environmental parameters corresponding to pipeline positions around the target pipeline collected by each environmental collection device; The parameter processing module is connected to the plurality of first parameter acquisition ports and the plurality of second parameter acquisition ports, and is configured to sample the branch flow parameters of the fluid medium discharge port of each branch, and obtain pipeline flow information consisting of a plurality of groups of data including the sampling time and sampling value of each branch, and to sample the pipeline environment parameters at each position, and obtain pipeline environment information consisting of a plurality of groups of data including the sampling time and sampling value of each pipeline position.

[0009] Optionally, the control module specifically includes: A parameter extraction unit is configured to extract a plurality of pipeline leakage detection model update parameters according to the pipeline leakage detection related information received by the wireless communication module; A model updating unit, configured to update a currently stored pipeline leakage detection model using the pipeline leakage detection model update parameter to obtain a real-time pipeline leakage detection model; The pipeline leakage detection unit is configured to generate a pipeline leakage detection result based on the infrasound signal collected by the infrasound sensor component and the stored detection position information of the infrasound sensor component in the target pipeline by using the real-time pipeline leakage detection model.

[0010] Optionally, the flow monitoring device is configured to include a flow meter and a first parameter transmission port connected to the flow meter, the environmental monitoring component includes a temperature sensor, a pressure sensor and a second parameter transmission port connected to the temperature sensor and the pressure sensor; the pipeline leakage detection model update parameters include the total flow value of each branch, the flow value of each branch at the current moment, and the pressure value and temperature value of each pipeline position at the current moment.

[0011] Optionally, the parameter extraction unit specifically includes: The pipeline flow information processing subunit is configured to obtain a plurality of data sets including the sampling time and sampling value of each branch in the pipeline leakage detection associated information, and calculate the total flow value of each branch from the initial moment to the current moment to perform fluid medium transmission and the flow value at the current moment according to the flow curve formed by the plurality of data sets including the sampling time and sampling value of each branch; The pipeline environment information processing subunit is configured to obtain a plurality of data sets including sampling time and sampling value of each position in the pipeline leakage detection associated information, and extract the pressure value and temperature value of each pipeline position at the current moment according to the plurality of data sets of sampling time and sampling value of each pipeline position; The update parameter construction subunit is configured to use the total flow value of each branch, the pressure value and the temperature value of each pipeline position at the current moment as pipeline leakage detection model selection parameters, use the flow value of each branch at the current moment as the pipeline leakage detection model correction parameter, and construct a pipeline leakage detection model update parameter group based on the pipeline leakage detection model selection parameters and the pipeline leakage detection model correction parameters.

[0012] Optionally, the model updating unit specifically includes: The model set calling subunit calls a first comparison table of pipeline leakage detection model selection parameters and pipeline leakage detection models and a second comparison table of pipeline leakage detection model adjustment parameters corresponding to each pipeline leakage detection model and detection result correction values ​​pre-stored in a storage device; An initial model selection subunit, which updates the pipeline leakage detection model selection parameters in the parameter group according to the pipeline leakage detection model, and matches the corresponding target pipeline leakage detection model in the first comparison table; The model parameter adjustment subunit updates the pipeline leakage detection model correction parameters in the parameter group according to the pipeline leakage detection model, matches the model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table, and uses the model correction parameters to generate a real-time pipeline leakage detection model and replace the currently stored pipeline leakage detection model.

[0013] Optionally, the first comparison table stores: a plurality of parameter combinations formed by ergodic stepwise adjustment of the selection parameters of each pipeline leakage detection model and the pipeline leakage detection model corresponding to each parameter combination, and the second comparison table stores a plurality of stepwise adjusted pipeline leakage detection model adjustment parameters of each pipeline leakage detection model and the detection result difference corresponding to each pipeline leakage detection model adjustment parameter; The construction of the first comparison table and the second comparison table includes the following execution process: The test terminal obtains test results of a test pipeline having the same diameter and material as the target pipeline, performing several pipeline leakage tests at different pipeline flow rates under each parameter combination of ergodic stepwise adjustment of each pipeline leakage detection model selection parameter; Extract the pipeline flow rate, infrasound signal characteristics, and the distance between the leakage position and the infrasound detection position from the test results of several pipeline leakage tests corresponding to each parameter combination, and construct a pipeline leakage detection sample for each pipeline leakage test; Input a number of pipeline leakage detection samples with a standard pipeline flow rate in each parameter combination into a pre-built neural network model for training, obtain a trained pipeline leakage detection model for each parameter combination, establish a mapping relationship between a number of parameter combinations consisting of ergodic step-by-step adjustment of the selection parameters of each pipeline leakage detection model and the pipeline leakage detection model corresponding to each parameter combination, and generate a first comparison table; input a number of pipeline leakage detection samples with different pipeline flow rates in each parameter combination into the pipeline leakage detection model trained under the parameter combination, input the standard pipeline flow rate and different pipeline flow rates into the pipeline leakage detection model respectively, establish a mapping relationship between the obtained output distance difference between the leakage position and the infrasonic detection position and the pipeline flow rate of the corresponding pipeline leakage detection sample, and generate a second comparison table of the corresponding pipeline leakage detection model; The first comparison table and the second comparison table are sent in advance to the storage device of the infrasonic sensor, so that when the model set calling subunit calls, the pre-stored first comparison table of pipeline leakage detection model selection parameters and pipeline leakage detection models and the second comparison table of pipeline leakage detection model adjustment parameters corresponding to each pipeline leakage detection model and detection result correction values ​​are directly extracted.

[0014] Optionally, the initial model selection subunit is configured to perform the following process: Extracting pipeline leakage detection model selection parameters from the pipeline leakage detection model update parameter group; wherein the pipeline leakage model selection parameters include the total flow value of each branch, the pressure value and temperature value of each pipeline position at the current moment; Based on the selection parameters of each pipeline leakage detection model, the corresponding target pipeline leakage detection model is matched according to the step interval to which the selection parameters of each pipeline leakage detection model belong in the first comparison table; The model parameter adjustment subunit is configured to perform the following process: Extracting pipeline leakage detection model correction parameters from the pipeline leakage detection model update parameter group; wherein the pipeline leakage model correction parameters include the flow value of each branch at the current moment; According to the flow value of each branch at the current moment, the target pipeline flow value is calculated, and the target pipeline flow value is used to match the model correction parameters of the corresponding flow value in the second comparison table. The model correction parameters are used as the correction of the output of the target pipeline leakage detection model to obtain a real-time pipeline leakage detection model and replace the currently stored pipeline leakage detection model.

[0015] Optionally, the pipeline leakage detection unit is configured to perform the following process: Inputting the infrasound wave signal collected by the infrasound wave sensor assembly into a real-time pipeline leakage detection model to obtain the distance between the leakage position output by the real-time pipeline leakage detection model and the infrasound wave detection position; The leakage position of the target pipeline is determined based on the distance between the leakage position and the infrasound wave detection position and the stored detection position information of the infrasound wave sensor assembly in the target pipeline.

[0016] The beneficial effects of the present invention are as follows: a novel infrasonic sensor suitable for pipes with a diameter of less than 100 mm is proposed, an infrasonic signal generated at a target pipeline leakage point and propagated to the infrasonic sensor component through the target pipeline is collected by an infrasonic sensor component, and pipeline leakage detection associated information collected by a flow monitoring device and an environmental monitoring component and transmitted by a monitoring terminal is obtained by using a wireless communication module, and then a pipeline leakage detection model selection parameter and a pipeline leakage detection model update parameter in the pipeline leakage detection associated information are extracted by a control module, and a target pipeline leakage detection model adapted to the current pipeline diameter state of the target pipeline is selected in a first comparison table by using the pipeline leakage detection model selection parameter, and then a pipeline leakage detection model correction parameter is used to consider the error between the current pipeline flow and the standard pipeline flow in pipeline leakage distance detection, and the model correction parameter corresponding to the target pipeline leakage detection model is matched in the second comparison table, and the target pipeline leakage detection model with the model correction parameter attached is used as a real-time pipeline leakage detection model to update the currently stored pipeline leakage detection model, and pipeline leakage detection is performed by using this, and finally the monitoring terminal is driven to perform an alarm judgment according to the pipeline leakage detection result. Therefore, the present invention can improve the accuracy of pipeline leakage detection of infrasonic sensors in scenarios with pipe diameters below 100 mm by comprehensively considering the impact of the environment, changes in pipe diameter caused by medium transportation wear, and the impact of different pipeline flow rates on pipeline leakage detection, improve the timeliness of pipeline leakage detection and maintenance, and ensure pipeline transportation safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the operating principle of a novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm provided in an embodiment of the present invention.

[0018] Description of reference numerals: 10-infrasonic sensor; 101-infrasonic sensor component; 102-wireless communication module; 103-control module; 20-monitoring terminal; 301-flow monitoring device; 302-environmental monitoring component.

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] The embodiment of the present invention provides a novel infrasound sensor suitable for pipes with a diameter of less than 100 mm. Figure 1 , Figure 1 A schematic diagram of the operating principle of a novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm provided in an embodiment of the present invention.

[0022] In this embodiment, a novel infrasonic wave sensor 10 suitable for pipes with a diameter of less than 100 mm includes an infrasonic wave sensor component 101 , a wireless communication module 102 and a control module 103 .

[0023] Specifically, the infrasound sensor assembly 101 is attached to the outer wall of the target pipeline, and is configured to collect the infrasound signal generated at the leakage point of the target pipeline and propagated to the infrasound sensor assembly 101 through the target pipeline; the wireless communication module 102 is connected to the control module 103, and is configured to receive the pipeline leakage detection related information transmitted by the monitoring terminal 20, and send the pipeline leakage detection related information to the control module 103; the control module 103 is connected to the wireless communication module 102 and the infrasound sensor assembly 101, and is configured to detect the pipeline leakage related information received by the wireless communication module 102. The pipeline leakage detection model is updated by extracting a plurality of pipeline leakage detection model update parameters, and the pipeline leakage detection model currently stored is updated by using the pipeline leakage detection model update parameters to obtain a real-time pipeline leakage detection model, and the real-time pipeline leakage detection model is used to generate a pipeline leakage detection result based on the infrasound signal collected by the infrasound sensor component 101 and the stored detection position information of the infrasound sensor component 101 in the target pipeline; the wireless communication module 102 is configured to transmit the pipeline leakage detection result to the monitoring terminal 20, so as to drive the monitoring terminal 20 to perform an alarm judgment according to the pipeline leakage detection result.

[0024] It should be noted that in practical applications, especially in the scenario of pipeline leakage detection with a diameter of less than 100 mm, the existing infrasonic sensors still have some limitations in pipeline leakage detection: (1) The infrasonic signal generated by the leakage of pipelines with a diameter of less than 100 mm is relatively weak and more susceptible to interference from background noise, which puts higher accuracy requirements on the pipeline leakage detection of infrasonic sensors; (2) When the diameter of a pipeline with a diameter of less than 100 mm changes due to environmental influences (mainly thermal expansion and contraction caused by ambient temperature and deformation caused by squeezing in the installation area), due to the diameter The smaller the pipe diameter is, the greater the percentage change caused by the environment, and the more obvious the impact on the pipeline leakage detection results (for example, the change in pipe diameter causes the change in the propagation speed of the infrasonic signal, making the leakage position obtained by the detection far different from the actual position); (3) Pipelines with a diameter of less than 100 mm are also affected by the flow rate of the medium transported by the pipeline. On the one hand, when transporting a medium containing impurities for a long time, the impurities will wear the pipe wall and cause the pipe diameter to change. On the other hand, when performing pipeline leakage detection, the current different pipeline medium flow rates will also affect the propagation speed of the infrasonic wave, affecting the final pipeline leakage detection results. At present, the existing infrasonic wave sensors do not take into account the impact of the above-mentioned multiple limitations faced by pipes with a diameter of less than 100 mm on the pipeline leakage detection results when performing pipeline leakage detection.

[0025] In order to solve the above problems, the present embodiment collects the infrasound wave signal generated at the target pipeline leakage point and propagated to the infrasound wave sensor component 101 through the target pipeline, and uses the wireless communication module 102 to obtain the pipeline leakage detection associated information collected by the flow monitoring device 301 and the environmental monitoring component 302 and transmitted by the monitoring terminal 20, and then extracts the pipeline leakage detection model selection parameters and the pipeline leakage detection model update parameters in the pipeline leakage detection associated information through the control module 103, and uses the pipeline leakage detection model update parameters to respectively determine the adaptation to the current environmental factors and the pipeline leakage detection model in the first comparison table and the second comparison table. The target pipeline leakage detection model and model correction parameters of the pipe diameter state corresponding to the medium transportation wear factor are used as the real-time pipeline leakage detection model to update the currently stored pipeline leakage detection model, and use it to perform pipeline leakage detection, and finally drive the monitoring terminal 20 to perform alarm judgment according to the pipeline leakage detection result. By comprehensively considering the environmental impact and the change of pipe diameter caused by medium transportation wear and the influence of different pipeline flow rates on pipeline leakage detection, the infrasonic sensor 10 can improve the accuracy of pipeline leakage detection in scenarios with pipe diameters below 100mm, improve the timeliness of pipeline leakage detection and maintenance, and ensure pipeline transportation safety.

[0026] In a preferred embodiment, the pipeline leakage detection associated information includes pipeline flow information and pipeline environment information. The monitoring terminal 20 is electrically connected to the flow monitoring devices 301 arranged at the fluid medium outlets of several branches of the target pipeline and several environmental monitoring components 302 arranged around the target pipeline, and is configured to obtain the branch flow parameters collected by the flow monitoring device 301 at the fluid medium outlet of the branch and the pipeline environment parameters collected by each environmental monitoring component 302, and convert the branch flow parameters and the pipeline environment parameters into pipeline flow information and pipeline environment information, respectively.

[0027] Furthermore, the monitoring terminal 20 specifically includes: a plurality of first parameter acquisition ports, connected to a plurality of flow monitoring devices 301, configured to obtain branch flow parameters of the fluid medium outlet of the corresponding branch collected by each flow monitoring device 301; a plurality of second parameter acquisition ports, connected to a plurality of environmental monitoring components 302, configured to obtain pipeline environmental parameters of the corresponding pipeline position around the target pipeline collected by each environmental acquisition device; a parameter processing module, connected to a plurality of first parameter acquisition ports and a plurality of second parameter acquisition ports, configured to sample the branch flow parameters of the fluid medium outlet of each branch, obtain pipeline flow information consisting of a plurality of groups of data including the sampling time and sampling value of each branch, and sample the pipeline environmental parameters at each position, obtain pipeline environmental information consisting of a plurality of groups of data including the sampling time and sampling value of each pipeline position.

[0028] In this embodiment, the monitoring terminal 20 is configured to be electrically connected to the flow monitoring device 301 arranged at the fluid medium outlet of several branches of the target pipeline and several environmental monitoring components 302 arranged around the target pipeline, so that the monitoring terminal 20 can collect the pipeline flow information and pipeline environment information that affect the diameter and flow of the target pipeline in real time. After collecting the pipeline leakage detection related information containing the pipeline flow information and the pipeline environment information, the monitoring terminal 20 sends the pipeline leakage detection related information to the control module 103, so that the control module 103 extracts several pipeline leakage detection model update parameters according to the pipeline leakage detection related information, and updates the currently stored pipeline leakage detection model.

[0029] In a preferred embodiment, the control module 103 specifically includes: a parameter extraction unit, configured to extract a number of pipeline leakage detection model update parameters according to the pipeline leakage detection associated information received by the wireless communication module 102; a model update unit, configured to update the currently stored pipeline leakage detection model using the pipeline leakage detection model update parameters to obtain a real-time pipeline leakage detection model; a pipeline leakage detection unit, configured to generate a pipeline leakage detection result based on the infrasonic signal collected by the infrasonic sensor component 101 and the stored detection position information of the infrasonic sensor component 101 in the target pipeline using the real-time pipeline leakage detection model.

[0030] In this embodiment, after receiving the pipeline leakage detection related information, the control module 103 extracts a number of pipeline leakage detection model update parameters, and uses the pipeline leakage detection model update parameters to determine the target pipeline leakage detection model and model correction parameters that are adapted to the pipe diameter state corresponding to the current environmental factors and medium transportation wear factors in the first comparison table and the second comparison table respectively, and uses this as a real-time pipeline leakage detection model to update the currently stored pipeline leakage detection model, which can ensure that the pipeline leakage detection model currently used by the infrasonic sensor 10 is adapted to the pipe diameter state corresponding to the current environmental factors and medium transportation wear factors and the medium transportation flow environment.

[0031] On this basis, the flow monitoring device 301 is configured to include a flow meter and a first parameter transmission port connected to the flow meter, the environmental monitoring component 302 includes a temperature sensor, a pressure sensor and a second parameter transmission port connecting the temperature sensor and the pressure sensor; the pipeline leakage detection model update parameters include the total flow value of each branch, the flow value of each branch at the current moment, and the pressure value and temperature value of each pipeline position at the current moment.

[0032] Furthermore, the parameter extraction unit specifically includes: a pipeline flow information processing subunit, which is configured to obtain several groups of data including the sampling time and sampling value of each branch in the pipeline leakage detection associated information, and calculate the total flow value of each branch from the initial moment to the current moment to perform fluid medium transmission and the flow value at the current moment according to the flow curve composed of several groups of data including the sampling time and sampling value of each branch; a pipeline environment information processing subunit, which is configured to obtain several groups of data including the sampling time and sampling value of each position in the pipeline leakage detection associated information, and extract the pressure value and temperature value of each pipeline position at the current moment according to several groups of data including the sampling time and sampling value of each pipeline position; an update parameter construction subunit, which is configured to use the total flow value of each branch, the pressure value and temperature value of each pipeline position at the current moment as pipeline leakage detection model selection parameters, use the flow value of each branch at the current moment as pipeline leakage detection model correction parameters, and construct a pipeline leakage detection model update parameter group according to the pipeline leakage detection model selection parameters and the pipeline leakage detection model correction parameters.

[0033] On this basis, the model updating unit specifically includes: a model set calling subunit, calling a first comparison table of pipeline leakage detection model selection parameters and pipeline leakage detection models pre-stored in a storage device and a second comparison table of pipeline leakage detection model adjustment parameters corresponding to each pipeline leakage detection model and detection result correction values; an initial model selection subunit, matching the corresponding target pipeline leakage detection model in the first comparison table according to the pipeline leakage detection model selection parameters in the pipeline leakage detection model update parameter group; a model parameter adjustment subunit, matching the model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table according to the pipeline leakage detection model correction parameters in the pipeline leakage detection model update parameter group, and using the model correction parameters to generate a real-time pipeline leakage detection model and replace the currently stored pipeline leakage detection model.

[0034] Furthermore, the first comparison table stores: several parameter combinations formed by ergodic step-by-step adjustment of each pipeline leakage detection model selection parameter and the pipeline leakage detection model corresponding to each parameter combination, and the second comparison table stores several step-by-step adjusted pipeline leakage detection model adjustment parameters of each pipeline leakage detection model and the detection result difference corresponding to each pipeline leakage detection model adjustment parameter; wherein, the construction of the first comparison table and the second comparison table includes the following execution process: the test terminal obtains the test results of several pipeline leakage tests with different pipeline flow rates performed on the test pipeline with the same diameter and material as the target pipeline under each parameter combination of ergodic step-by-step adjustment of each pipeline leakage detection model selection parameter; extracts the pipeline flow rate, infrasonic signal characteristics and the distance between the leakage position and the infrasonic detection position from the test results of several pipeline leakage tests corresponding to each parameter combination, and constructs a pipeline leakage detection sample for each pipeline leakage test; and inputs several pipeline leakage detection samples with standard pipeline flow rate in each parameter combination into the pre-constructed neural network model for Training is performed to obtain a pipeline leakage detection model for each parameter combination that has been trained, and a mapping relationship is established between a plurality of parameter combinations formed by ergodic stepwise adjustment of the selection parameters of each pipeline leakage detection model and the pipeline leakage detection model corresponding to each parameter combination, so as to generate a first comparison table; a plurality of pipeline leakage detection samples with different pipeline flow rates in each parameter combination are input into the pipeline leakage detection model trained under the parameter combination, and a standard pipeline flow rate and different pipeline flow rates are respectively input into the pipeline leakage detection model, and a mapping relationship is established between the obtained output distance difference between the leakage position and the infrasound detection position and the pipeline flow rate of the corresponding pipeline leakage detection sample, so as to generate a second comparison table of the corresponding pipeline leakage detection model; the first comparison table and the second comparison table are sent in advance to the storage device of the infrasound sensor 10, so that when the model set calling subunit calls, the first comparison table of the pipeline leakage detection model selection parameters and the pipeline leakage detection model that are pre-stored and the second comparison table of the pipeline leakage detection model adjustment parameters and the detection result correction values ​​corresponding to each pipeline leakage detection model are directly extracted.

[0035] In this embodiment, several pipeline leakage detection model update parameters include pipeline leakage detection model selection parameters and pipeline leakage detection model correction parameters; wherein, the pipeline leakage detection model selection parameters include the total flow value of each branch, the pressure value and temperature value of each pipeline position at the current moment, and the pipeline leakage detection model correction parameters include the flow value of each branch at the current moment. It should be noted that the pressure value and the temperature value are used to characterize the current diameter change state of the target pipeline due to environmental factors, the total flow value is used to characterize the diameter change state caused by medium transportation wear, and the flow value of each branch at the current moment is used to measure the impact of the current pipeline total flow on pipeline leakage detection. Therefore, this embodiment uses the above-mentioned pipeline leakage detection model update parameters for ergodic step adjustment and is divided into several parameter combinations, and obtains the test results of the test pipeline with the same diameter and material as the target pipeline within the range of each parameter combination, that is, the pipeline flow, the characteristics of the infrasonic signal, and the distance between the leakage position and the infrasonic detection position. The pipeline leakage detection sample is constructed to train the pre-constructed neural network model, and the relationship between the infrasonic signal characteristics and the distance between the leakage position and the infrasonic detection position under different pipeline flow states is explored. Then, a first comparison table is established by combining the infrasonic detection model under the standard pipeline flow state with its corresponding parameter combination. Then, a second comparison table is established according to the distance difference between the leakage position and the infrasonic detection position corresponding to the same infrasonic signal characteristics of the infrasonic detection model with different pipeline flow rates under each parameter combination. Finally, the first comparison table and the second comparison table are transmitted from the test terminal to the storage device of the infrasonic sensor 10 for pre-storage.

[0036] Furthermore, the initial model selection subunit is configured to perform the following process: extracting pipeline leakage detection model selection parameters in the pipeline leakage detection model update parameter group; wherein the pipeline leakage model selection parameters include the total flow value of each branch, the pressure value and the temperature value of each pipeline position at the current moment; based on each pipeline leakage detection model selection parameter, matching the corresponding target pipeline leakage detection model according to the step interval to which each pipeline leakage detection model selection parameter belongs in the first comparison table; Furthermore, the model parameter adjustment subunit is configured to perform the following process: extracting the pipeline leakage detection model correction parameters in the pipeline leakage detection model update parameter group; wherein the pipeline leakage model correction parameters include the flow value of each branch at the current moment; calculating the target pipeline flow value according to the flow value of each branch at the current moment, using the target pipeline flow value to match the model correction parameters of the corresponding flow value in the second comparison table, using the model correction parameters as the correction of the target pipeline leakage detection model output, obtaining a real-time pipeline leakage detection model and replacing the currently stored pipeline leakage detection model.

[0037] In a preferred embodiment, the pipeline leakage detection unit is configured to perform the following process: input the infrasonic signal collected by the infrasonic sensor assembly 101 into a real-time pipeline leakage detection model to obtain the distance between the leakage position and the infrasonic detection position output by the real-time pipeline leakage detection model; based on the distance between the leakage position and the infrasonic detection position and the stored detection position information of the infrasonic sensor assembly 101 in the target pipeline, determine the leakage position of the target pipeline.

[0038] In this embodiment, when the infrasonic wave sensor 10 performs pipeline leakage detection, it first obtains pipeline leakage detection model selection parameters and pipeline leakage detection model correction parameters, and then uses the pipeline leakage detection model selection parameters to select a target pipeline leakage detection model that is adapted to the current pipeline diameter state of the target pipeline in the first comparison table, and then uses the pipeline leakage detection model correction parameters to consider the error between the current pipeline flow and the standard pipeline flow when detecting the pipeline leakage distance, and then uses the pipeline leakage detection model correction parameters to consider the error between the current pipeline flow and the standard pipeline flow when detecting the pipeline leakage distance, and matches the model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table, and uses the target pipeline leakage detection model with the model correction parameters attached as the real-time pipeline leakage detection model to update the currently stored pipeline leakage detection model, and uses this to perform pipeline leakage detection, and finally drives the monitoring terminal 20 to perform alarm judgment according to the pipeline leakage detection result. Therefore, the present invention can improve the accuracy of pipeline leakage detection of the infrasonic sensor 10 in scenarios with pipe diameters below 100 mm by comprehensively considering the impact of the environment, changes in pipe diameter caused by medium transportation wear, and the impact of different pipeline flow rates on pipeline leakage detection, improve the timeliness of pipeline leakage detection and maintenance, and ensure pipeline transportation safety.

[0039] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0040] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0041] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A new type of infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm, characterized in that: It includes an infrasound sensor component, a wireless communication module and a control module; The infrasound wave sensor assembly is attached to the outer wall of the target pipeline and is configured to collect infrasound wave signals generated at the leakage point of the target pipeline and propagated to the infrasound wave sensor assembly through the target pipeline; The wireless communication module is connected to the control module and is configured to receive pipeline leakage detection related information transmitted by the monitoring terminal and send the pipeline leakage detection related information to the control module; The control module connects the wireless communication module and the infrasonic wave sensing component, and is configured to extract a plurality of pipeline leakage detection model update parameters according to the pipeline leakage detection associated information received by the wireless communication module, update the currently stored pipeline leakage detection model using the pipeline leakage detection model update parameters, obtain a real-time pipeline leakage detection model, and generate a pipeline leakage detection result using the real-time pipeline leakage detection model based on the infrasonic wave signal collected by the infrasonic wave sensing component and the stored detection position information of the infrasonic wave sensing component in the target pipeline; The wireless communication module is configured to transmit the pipeline leakage detection result to a monitoring terminal, and drive the monitoring terminal to perform an alarm judgment according to the pipeline leakage detection result.

2. The novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm as claimed in claim 1 is characterized in that: The pipeline leakage detection associated information includes pipeline flow information and pipeline environment information. The monitoring terminal is electrically connected to the flow monitoring devices of the fluid medium outlets of several branches of the target pipeline and several environmental monitoring components arranged around the target pipeline, and is configured to obtain the branch flow parameters collected by the flow monitoring devices of the fluid medium outlets of the branches and the pipeline environment parameters collected by each environmental monitoring component, and convert the branch flow parameters and the pipeline environment parameters into pipeline flow information and pipeline environment information, respectively.

3. The novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm as claimed in claim 2 is characterized in that: The monitoring terminal specifically includes: A plurality of first parameter collection ports, connected to a plurality of flow monitoring devices, configured to obtain branch flow parameters of a fluid medium discharge outlet of a corresponding branch collected by each flow monitoring device; A plurality of second parameter collection ports are connected to a plurality of environmental monitoring components and are configured to obtain pipeline environmental parameters corresponding to pipeline positions around the target pipeline collected by each environmental collection device; The parameter processing module is connected to the plurality of first parameter acquisition ports and the plurality of second parameter acquisition ports, and is configured to sample the branch flow parameters of the fluid medium discharge port of each branch, and obtain pipeline flow information consisting of a plurality of groups of data including the sampling time and sampling value of each branch, and to sample the pipeline environment parameters at each position, and obtain pipeline environment information consisting of a plurality of groups of data including the sampling time and sampling value of each pipeline position.

4. The novel infrasonic wave sensor suitable for pipes with a diameter of less than 100 mm as claimed in claim 1 is characterized in that: The control module specifically includes: A parameter extraction unit is configured to extract a plurality of pipeline leakage detection model update parameters according to the pipeline leakage detection related information received by the wireless communication module; A model updating unit, configured to update a currently stored pipeline leakage detection model using the pipeline leakage detection model update parameter to obtain a real-time pipeline leakage detection model; The pipeline leakage detection unit is configured to generate a pipeline leakage detection result based on the infrasound signal collected by the infrasound sensor component and the stored detection position information of the infrasound sensor component in the target pipeline by using the real-time pipeline leakage detection model.

5. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 4 is characterized in that: The flow monitoring device is configured to include a flow meter and a first parameter transmission port connected to the flow meter, the environmental monitoring component includes a temperature sensor, a pressure sensor and a second parameter transmission port connected to the temperature sensor and the pressure sensor; the pipeline leakage detection model update parameters include the total flow value of each branch, the flow value of each branch at the current moment, and the pressure value and temperature value of each pipeline position at the current moment.

6. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 5, characterized in that: The parameter extraction unit specifically includes: The pipeline flow information processing subunit is configured to obtain a plurality of data sets including the sampling time and sampling value of each branch in the pipeline leakage detection associated information, and calculate the total flow value of each branch from the initial moment to the current moment to perform fluid medium transmission and the flow value at the current moment according to the flow curve formed by the plurality of data sets including the sampling time and sampling value of each branch; The pipeline environment information processing subunit is configured to obtain a plurality of data sets including sampling time and sampling value of each position in the pipeline leakage detection associated information, and extract the pressure value and temperature value of each pipeline position at the current moment according to the plurality of data sets of sampling time and sampling value of each pipeline position; The update parameter construction subunit is configured to use the total flow value of each branch, the pressure value and the temperature value of each pipeline position at the current moment as pipeline leakage detection model selection parameters, use the flow value of each branch at the current moment as the pipeline leakage detection model correction parameter, and construct a pipeline leakage detection model update parameter group based on the pipeline leakage detection model selection parameters and the pipeline leakage detection model correction parameters.

7. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 6 is characterized in that: The model updating unit specifically includes: The model set calling subunit calls a first comparison table of pipeline leakage detection model selection parameters and pipeline leakage detection models and a second comparison table of pipeline leakage detection model adjustment parameters corresponding to each pipeline leakage detection model and detection result correction values ​​pre-stored in a storage device; an initial model selection subunit, which updates the pipeline leakage detection model selection parameters in the parameter group according to the pipeline leakage detection model, and matches the corresponding target pipeline leakage detection model in the first comparison table; The model parameter adjustment subunit updates the pipeline leakage detection model correction parameters in the parameter group according to the pipeline leakage detection model, matches the model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table, and uses the model correction parameters to generate a real-time pipeline leakage detection model and replace the currently stored pipeline leakage detection model.

8. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 7 is characterized in that: The first comparison table stores: a plurality of parameter combinations formed by ergodic stepwise adjustment of the selection parameters of each pipeline leakage detection model and the pipeline leakage detection model corresponding to each parameter combination; the second comparison table stores a plurality of stepwise adjusted pipeline leakage detection model adjustment parameters of each pipeline leakage detection model and the detection result difference corresponding to each pipeline leakage detection model adjustment parameter; The construction of the first comparison table and the second comparison table includes the following execution process: The test terminal obtains test results of a test pipeline having the same diameter and material as the target pipeline, performing several pipeline leakage tests at different pipeline flow rates under each parameter combination of ergodic stepwise adjustment of each pipeline leakage detection model selection parameter; Extract the pipeline flow rate, infrasound signal characteristics, and the distance between the leakage position and the infrasound detection position from the test results of several pipeline leakage tests corresponding to each parameter combination, and construct a pipeline leakage detection sample for each pipeline leakage test; Input a number of pipeline leakage detection samples with a standard pipeline flow rate in each parameter combination into a pre-built neural network model for training, obtain a trained pipeline leakage detection model for each parameter combination, establish a mapping relationship between a number of parameter combinations consisting of ergodic step-by-step adjustment of the selection parameters of each pipeline leakage detection model and the pipeline leakage detection model corresponding to each parameter combination, and generate a first comparison table; input a number of pipeline leakage detection samples with different pipeline flow rates in each parameter combination into the pipeline leakage detection model trained under the parameter combination, input the standard pipeline flow rate and different pipeline flow rates into the pipeline leakage detection model respectively, establish a mapping relationship between the obtained output distance difference between the leakage position and the infrasonic detection position and the pipeline flow rate of the corresponding pipeline leakage detection sample, and generate a second comparison table of the corresponding pipeline leakage detection model; The first comparison table and the second comparison table are sent in advance to the storage device of the infrasonic sensor, so that when the model set calling subunit calls, the pre-stored first comparison table of pipeline leakage detection model selection parameters and pipeline leakage detection models and the second comparison table of pipeline leakage detection model adjustment parameters corresponding to each pipeline leakage detection model and detection result correction values ​​are directly extracted.

9. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 8, characterized in that: The initial model selection subunit is configured to perform the following process: Extracting pipeline leakage detection model selection parameters from the pipeline leakage detection model update parameter group; wherein the pipeline leakage model selection parameters include the total flow value of each branch, the pressure value and temperature value of each pipeline position at the current moment; Based on the selection parameters of each pipeline leakage detection model, the corresponding target pipeline leakage detection model is matched according to the step interval to which the selection parameters of each pipeline leakage detection model belong in the first comparison table; The model parameter adjustment subunit is configured to perform the following process: Extracting pipeline leakage detection model correction parameters from the pipeline leakage detection model update parameter group; wherein the pipeline leakage model correction parameters include the flow value of each branch at the current moment; According to the flow value of each branch at the current moment, the target pipeline flow value is calculated, and the target pipeline flow value is used to match the model correction parameters of the corresponding flow value in the second comparison table. The model correction parameters are used as the correction of the output of the target pipeline leakage detection model to obtain a real-time pipeline leakage detection model and replace the currently stored pipeline leakage detection model.

10. The novel infrasonic wave sensor applicable to pipes with a diameter of less than 100 mm as claimed in claim 9, characterized in that: The pipeline leakage detection unit is configured to perform the following process: Inputting the infrasound wave signal collected by the infrasound wave sensor assembly into a real-time pipeline leakage detection model to obtain the distance between the leakage position output by the real-time pipeline leakage detection model and the infrasound wave detection position; The leakage position of the target pipeline is determined based on the distance between the leakage position and the infrasound wave detection position and the stored detection position information of the infrasound wave sensor assembly in the target pipeline.

Images