Pipeline leakage monitoring method and device

Abstract

The invention relates to the technical field of monitoring and early warning, and provides a pipeline leakage monitoring method and device, and the method comprises the steps: dividing a pipeline into a suspected leakage section and a leakage-free section; based on the first multi-source monitoring data corresponding to the at least one leakage-free section, rechecking any target suspected leakage section, and determining a rechecking result; determining a leakage time period based on the temperature monitoring data of the target suspected leakage section under the condition that the re-checking result is true; and obtaining a leakage positioning point of the target suspected leakage section based on the pressure monitoring data and the sound wave monitoring data in the leakage time period corresponding to the target suspected leakage section. According to the method provided by the invention, the suspected leakage section is obtained through coarse positioning of the multi-source monitoring data of each section of pipeline. Based on the pressure monitoring data and the sound wave monitoring data in the leakage time period corresponding to the target suspected leakage section, precise positioning is performed to obtain a leakage positioning point, multi-precision positioning is performed based on the multi-source monitoring data, and precise, comprehensive and high-reliability leakage positioning monitoring is realized.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and early warning technology, and in particular to a pipeline leakage monitoring method and device. Background Art

[0002] In the mine refrigeration system that uses transcritical carbon dioxide cycle for refrigeration, the safety of carbon dioxide transportation pipelines has high requirements. While reinforcing pipeline transportation, it is also necessary to respond accurately to emergencies such as leaks. The goal of pipeline leakage monitoring is to quickly sense the occurrence of leakage accidents and then locate the specific location of the pipeline leakage point as accurately as possible. Currently, single monitoring data is usually used for single-dimensional monitoring and positioning.

[0003] However, a single monitoring method has limitations, resulting in low accuracy and comprehensiveness of positioning results obtained by single-dimensional monitoring and positioning based on single monitoring data. Summary of the invention

[0004] The present invention provides a pipeline leakage monitoring method and device, which are used to solve the defects of low accuracy and comprehensiveness of positioning results obtained by single-dimensional monitoring positioning based on single monitoring data in the prior art.

[0005] The present invention provides a pipeline leakage monitoring method, comprising: Based on the multi-source monitoring data of each pipeline section, all pipelines are divided into suspected leakage sections and non-leakage sections; Based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, review any target suspected leakage segment to determine a review result; In the case where the review result is true, determining the leakage time period based on the temperature monitoring data of the target suspected leakage section; Based on the pressure monitoring data and the acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section, the leakage location point of the target suspected leakage section is obtained.

[0006] According to a pipeline leakage monitoring method provided by the present invention, the leakage location point of the target suspected leakage section is obtained based on the pressure monitoring data and the acoustic wave monitoring data in the leakage time period corresponding to the target suspected leakage section, including: Determine a first candidate leakage point in the suspected leakage section based on the temperature monitoring data and the carbon dioxide concentration monitoring data within the leakage time period corresponding to the target suspected leakage section; De-noising the pressure monitoring data and the sound wave monitoring data to obtain de-noised pressure monitoring data and sound wave monitoring data; determining a second leakage candidate point based on the noise reduction pressure monitoring data and the noise reduction wave monitoring data; The leakage location point is obtained based on the first leakage candidate point and the second leakage candidate point.

[0007] According to a pipeline leakage monitoring method provided by the present invention, solenoid valves are respectively provided at both ends of each section of the pipeline; Based on the first leakage candidate point and the second leakage candidate point, the leakage location point is obtained, and then the following steps are included: Determine the leakage risk result of the leakage location point based on the multi-source monitoring data of the leakage location point and the leakage risk assessment model; Based on the leakage risk result, a maintenance strategy is determined, wherein the maintenance strategy is used to instruct the staff to close the solenoid valves at both ends of the pipeline where the leakage location point is located; The leakage risk assessment model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage risk result labels.

[0008] According to a pipeline leakage monitoring method provided by the present invention, all pipelines are divided into suspected leakage sections and non-leakage sections based on multi-source monitoring data of each section of the pipeline, including: Obtain multi-source monitoring data for each pipeline section; Inputting the multi-source monitoring data into a leakage determination model to determine the leakage determination result of each section of the pipeline; Based on the leakage determination result, the pipeline is divided into a suspected leakage section and a non-leakage section; The leakage determination model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage result labels.

[0009] According to a pipeline leakage monitoring method provided by the present invention, a plurality of composite optical cables are attached to the pipe wall of each section of the pipeline; The composite optical cable includes a multimode temperature-sensitive optical fiber, a single-mode sound-sensitive optical fiber, and a grating stress-sensing optical fiber; The multi-mode temperature-sensing optical fiber is used to collect temperature monitoring data, the single-mode sound-sensing optical fiber is used to collect sound wave monitoring data, and the grating stress-sensing optical fiber is used to transmit the temperature monitoring data and the sound wave monitoring data.

[0010] According to a pipeline leakage monitoring method provided by the present invention, the pipeline is a carbon dioxide pipeline; the image monitoring data in the multi-source monitoring data includes optical imaging images and thermal imaging images; The step of reviewing any target suspected leakage segment based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments to determine the review result includes: Comparing the first multi-source monitoring data corresponding to at least one of the non-leakage segments with the second multi-source monitoring data of the target suspected leakage segment to determine a first review result; Determining a second review result based on the optical imaging image and the thermal imaging image of the target suspected leakage section; The review result is determined based on the first review result and the second review result.

[0011] The present invention also provides a pipeline leakage monitoring device, comprising: The segment positioning unit divides all pipelines into suspected leakage segments and non-leakage segments based on the multi-source monitoring data of each pipeline segment; A review unit, based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, reviews any target suspected leakage segment and determines a review result; a time period determination unit, which determines the leakage time period based on the temperature monitoring data of the target suspected leakage section when the verification result is true; The point positioning unit obtains the leakage positioning point of the target suspected leakage section based on the pressure monitoring data and the sound wave monitoring data within the leakage time period corresponding to the target suspected leakage section.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a pipeline leakage monitoring method as described above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the pipeline leakage monitoring method as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the pipeline leakage monitoring method as described above is implemented.

[0015] The pipeline leakage monitoring method and device provided by the present invention perform coarse positioning based on the multi-source monitoring data of each section of the pipeline to divide all pipelines into suspected leakage sections and non-leakage sections, and review any target suspected leakage section based on the first multi-source monitoring data corresponding to at least one non-leakage section to determine the review result; when the review result is true, determine the leakage time period based on the temperature monitoring data of the target suspected leakage section; perform fine positioning based on the pressure monitoring data and acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section to obtain the leakage positioning point of the target suspected leakage section, thereby realizing multiple precision leakage positioning based on multi-source monitoring data, and improving the accuracy, comprehensiveness and credibility of leakage positioning monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 This is one of the flow diagrams of the pipeline leakage monitoring method provided by the present invention; Figure 2 is a schematic diagram of a pipeline cross section provided by the present invention; Figure 3 It is a structural schematic diagram of a pipeline leakage monitoring system provided by the present invention; Figure 4 This is the second flow chart of the pipeline leakage monitoring method provided by the present invention; Figure 5 It is a structural schematic diagram of a pipeline leakage monitoring device provided by the present invention; Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention.

[0018] Reference numerals: 210: CO2 pipeline; 220: composite optical cable; 221: steel core; 222: sensor optical fiber. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] It should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0021] In view of the above problems, the present invention provides a pipeline leakage monitoring method to achieve comprehensive and accurate pipeline leakage monitoring. Figure 1 This is one of the flow diagrams of the pipeline leakage monitoring method provided by the present invention, such as Figure 1 As shown, the method includes: Step 110, based on the multi-source monitoring data of each pipeline section, all pipelines are divided into suspected leakage sections and non-leakage sections; Here, the pipeline may refer to a pipeline used to transport carbon dioxide for a mine refrigeration system, wherein the mine refrigeration system is based on the use of a transcritical carbon dioxide cycle for refrigeration. In an actual mine, the length of the carbon dioxide pipeline is relatively long. The carbon dioxide pipeline here may be composed of multiple sections of carbon dioxide pipeline segments, so as to realize the monitoring of each section of the carbon dioxide pipeline based on multi-source sensors, and realize the monitoring covering the entire pipeline, laying the foundation for comprehensive and accurate leakage monitoring. Moreover, when it is detected that a leak has occurred, the carbon dioxide pipeline section where the leak point is located can be blocked in time, so that the leak can be quickly and timely controlled. That is, while ensuring that the leak is quickly shut down to prevent the impact range from increasing, a method with low positioning accuracy can be used to locate the target segment, so as to narrow the monitoring range for subsequent methods with higher accuracy.

[0022] In addition, the multi-source monitoring data here include temperature monitoring data, acoustic wave monitoring data, carbon dioxide concentration monitoring data, image monitoring data, and pressure monitoring data. Among them, temperature monitoring data and acoustic wave monitoring data can be obtained based on distributed optical fiber sensors; carbon dioxide concentration monitoring data can be obtained based on carbon dioxide concentration sensor monitoring; image monitoring data can be obtained based on camera acquisition; pressure sensor can be obtained based on pressure sensor acquisition. The pressure sensor here can be set at both ends of each section of the carbon dioxide pipeline, and can be coordinated in pairs to apply the negative pressure wave positioning method to locate the leakage point of each section of the pipeline. In addition, the installation distance between the two carbon dioxide concentration sensors does not exceed the length of the unit section of the pipeline, the maximum camera range of the camera is greater than the installation distance between two adjacent cameras, and the measurement range can cover the entire carbon dioxide pipeline.

[0023] Specifically, the monitoring data of each section of the pipeline can be collected in real time by setting up multi-source sensors at or around each section of the carbon dioxide pipeline. Then, each monitoring data at preset intervals is transmitted to the control center to obtain the multi-source monitoring data of each section of the pipeline. Then, the leakage result of each section of the pipeline can be determined based on the multi-source monitoring data and the leakage judgment model. The pipeline section with a leakage result of leakage can be divided into a suspected leakage section, and the pipeline section with a leakage result of no leakage can be divided into a non-leakage section. The leakage judgment model here can be obtained based on the sample multi-source monitoring data, the leakage judgment result label and the initial neural network model training; It should be noted that the monitoring and positioning methods in the prior art that use commonly used single parameters such as negative pressure waves and sound waves as the basis for judgment have their limitations when used alone. For example, when monitoring and positioning are based on temperature parameters, the leakage position may not be accurately located due to range cooling; for example, normal operations such as valve adjustment and pump adjustment of the negative pressure wave system will also produce a certain degree of negative pressure waves, which may cause false alarms or missed alarms. Therefore, the prior art based on a single monitoring and positioning method cannot obtain a comprehensive and accurate leakage point. In the embodiment of the present invention, multi-source monitoring data is used to make a judgment based on the multi-source monitoring data, breaking through the limitations of a single monitoring method and obtaining a more comprehensive and accurate suspected leakage section.

[0024] Step 120 , based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, any target suspected leakage segment is reviewed to determine a review result.

[0025] Specifically, for a single target suspected leakage segment, the comparison result can be obtained by comparing the multi-source monitoring data corresponding to any target suspected leakage segment with the first multi-source monitoring data corresponding to at least one non-leakage segment. Then, based on the comparison result, the review result is determined. For example, when the comparison result shows that the data are relatively similar, the review result can be false, that is, there is no leakage in the suspected leakage segment; when the comparison result shows that there is a large discrepancy in the data, the review result can be true, that is, there is a leakage in the suspected leakage segment. Finally, all target suspected leakage segments can be reviewed one by one based on the same review method.

[0026] It is understandable that, considering the special environment of high temperature, high pressure and high humidity in the mine, it is also necessary to fully consider environmental factors and the physical properties of the pipeline gas itself. The first multi-source monitoring data corresponding to at least one leakage-free section can be used to review any target suspected leakage section, thereby reducing the impact of factors such as the mine environment on the multi-source monitoring data, avoiding false alarms in leakage monitoring, and improving the accuracy of leakage monitoring.

[0027] Step 130, if the verification result is true, determine the leakage time period based on the temperature monitoring data of the target suspected leakage section; When the verification result is true, that is, there is a suspected leak in the target suspected leak segment, the leakage time period can be determined based on the mutation point in the temperature monitoring data corresponding to the target suspected leak segment. For example, the time point when the temperature drops significantly can be used as the leakage start time point, and then the leakage start time point to the current time can be used as the leakage time period. It can be understood that compared to the prior art, which uses all the data for detection and positioning, the embodiment of the present invention uses the leakage time period as the time interval and the suspected leak segment as the position interval, and then uses the multi-source monitoring data of the suspected leak segment within the leakage time period to further locate the leakage point, thereby improving the accuracy of the leakage location point.

[0028] Step 140: obtaining the leakage location point of the target suspected leakage section based on the pressure monitoring data and the acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section.

[0029] Specifically, the leakage location point can be obtained through the pressure monitoring data and the acoustic wave monitoring data in the leakage time period corresponding to the target suspected leakage section. For example, the pressure leakage location point in the target suspected leakage section can be calculated through the pressure monitoring data in the leakage time period corresponding to the target suspected leakage section. Then, based on the acoustic wave monitoring data in the leakage time period corresponding to the target suspected leakage section, the acoustic wave leakage location point in the target suspected leakage section is calculated. Then, the pressure leakage location point and the acoustic wave leakage location point calculated separately above can be intersected or unioned to obtain the final leakage location point.

[0030] It should be noted that compared with the prior art, which uses single-source monitoring data to perform single-dimensional monitoring and positioning, the embodiments of the present invention perform corresponding monitoring and positioning in various dimensions based on multi-source monitoring data such as pressure and sound waves after obtaining the suspected leakage section, thereby making up for the limitations of each single monitoring method, further improving the accuracy and comprehensiveness of the leakage positioning point, and reducing the system false alarm rate. In addition, through the mutual verification and coordination between multi-source data and multiple methods, a more accurate, comprehensive, and reliable leakage positioning point is obtained, so that the leakage monitoring method can be better utilized in the field of mine pipeline safety.

[0031] The method provided by the embodiment of the present invention performs coarse positioning based on the multi-source monitoring data of each section of the pipeline to divide all pipelines into suspected leakage sections and non-leakage sections, and reviews any target suspected leakage section based on the first multi-source monitoring data corresponding to at least one non-leakage section to determine the review result; when the review result is true, the leakage time period is determined based on the temperature monitoring data of the target suspected leakage section; based on the pressure monitoring data and acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section, fine positioning is performed to obtain the leakage positioning point of the target suspected leakage section, thereby realizing multiple precision leakage positioning based on multi-source monitoring data, and improving the accuracy, comprehensiveness and credibility of leakage positioning monitoring.

[0032] Based on any of the above embodiments, step 140 includes: Determine a first candidate leakage point in the suspected leakage section based on the temperature monitoring data and the carbon dioxide concentration monitoring data within the leakage time period corresponding to the target suspected leakage section; De-noising the pressure monitoring data and the sound wave monitoring data to obtain de-noised pressure monitoring data and sound wave monitoring data; determining a second leakage candidate point based on the noise reduction pressure monitoring data and the noise reduction wave monitoring data; The leakage location point is obtained based on the first leakage candidate point and the second leakage candidate point.

[0033] Specifically, the first leakage candidate point in the suspected leakage section can be calculated through the temperature monitoring data and carbon dioxide concentration monitoring data in the leakage time period corresponding to the target suspected leakage section. For example, the leakage candidate point can be obtained through the temperature monitoring data, carbon dioxide concentration monitoring data and thermal imaging image data, and the obtained leakage candidate point can be used as the first leakage candidate point. Then, the pressure monitoring data and the acoustic wave monitoring data can be denoised by wavelet denoising to obtain the denoised pressure monitoring data and acoustic wave monitoring data to improve the accuracy of obtaining the second leakage candidate point.

[0034] Furthermore, the second leakage candidate point can be determined by the noise reduction pressure monitoring data and the noise reduction wave monitoring data. Finally, the first leakage candidate point can be compared with the second leakage candidate point, and the intersection or union of the first leakage candidate point and the second leakage candidate point can be taken as the final leakage location point.

[0035] It should be noted that the positioning accuracy of the first leakage candidate point obtained based on the temperature monitoring data and the carbon dioxide concentration monitoring data is lower than that of the second leakage candidate point. The temperature monitoring data and the carbon dioxide concentration monitoring data obtained by the optical fiber and the carbon dioxide concentration sensor are used for initial fine positioning. Then, based on the noise reduction pressure monitoring data and the noise reduction wave monitoring data with higher monitoring positioning accuracy, a more accurate second leakage candidate point is determined. Then, based on the first leakage candidate point and the second leakage candidate point, the final leakage candidate point is obtained, which comprehensively improves the accuracy and comprehensiveness of the leakage candidate point.

[0036] Based on any of the above embodiments, solenoid valves are respectively provided at both ends of each section of the pipeline; The step of obtaining the leakage location point based on the first leakage candidate point and the second leakage candidate point further comprises: Determine the leakage risk result of the leakage location point based on the multi-source monitoring data of the leakage location point and the leakage risk assessment model; Based on the leakage risk result, a maintenance strategy is determined, wherein the maintenance strategy is used to instruct the staff to close the solenoid valves at both ends of the pipeline where the leakage location point is located; The leakage risk assessment model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage risk result labels.

[0037] Specifically, in the application stage of the leakage risk assessment model, the multi-source monitoring data of the suspected leakage section where the leakage location point is located can be input into the leakage risk assessment model, and the leakage risk result of the leakage location point can be output through the leakage risk assessment model. The leakage risk result here can also be a risk assessment score, or a risk assessment level, which is not specifically limited in the embodiment of the present invention. Then, when the leakage risk result is greater than the preset threshold, it means that the leakage situation at the leakage location point is more dangerous, and the maintenance strategy can be obtained based on the comparison result of the leakage risk result and the preset threshold. The maintenance strategy is used to instruct the staff to close the solenoid valves at both ends of the carbon dioxide pipeline where the leakage location point is located. For example, the central control center can trigger an alarm mode such as a buzzer after the leakage risk result is greater than the preset threshold. The alarm mode includes a small range alarm and a full-area construction range alarm, which can ensure that workers in all areas can receive the alarm signal.

[0038] In one embodiment, the leakage risk result is reflected in the form of an evaluation score. If the evaluation score is less than the first threshold, it indicates the lowest level of warning, and the maintenance strategy is that the maintenance personnel go to the suspected leaking pipeline location for maintenance; if the evaluation score is greater than the first threshold and less than the second threshold, it indicates a general level of warning, and the maintenance strategy is to urgently close the solenoid valves at both ends of the suspected leaking section of the pipeline, and alarm the surrounding workplaces to remind workers to wear masks; the staff conducts maintenance; if the evaluation score is greater than the second threshold, it indicates a serious level of warning, and the maintenance strategy is to urgently close the solenoid valves at both ends of the suspected leaking section of the pipeline, and alarm the entire work area to remind workers to wear masks and other protective measures, and evacuate personnel. The staff must strictly wear professional equipment such as cold-proof clothing and oxygen masks to inspect the maintenance point, and turn on the emergency ventilation system to blow the carbon dioxide in the environment to the exhaust area.

[0039] It should be noted that solenoid valves are provided at both ends of each section of the pipeline. The solenoid valves are used to control the switch of the pipeline. When the leakage location point is inspected and repaired, the leakage of gas in the pipeline can be controlled in time, and the spread of gas leakage in the pipeline can be prevented efficiently and quickly, thereby improving the safety of maintenance personnel during maintenance and the safety of the mine.

[0040] In addition, through the leakage risk assessment model, leakage risk assessment is carried out to obtain reasonable actual leakage maintenance strategies under leakage conditions of different severity, thus achieving efficient and appropriate pipeline leakage maintenance and ensuring the safety of maintenance workers. That is, different response methods are adopted according to different severity levels to achieve low-cost and high-safety early warning.

[0041] In the training phase of the leakage risk assessment model, sample multi-source monitoring data and leakage risk result labels are obtained. The sample multi-source monitoring data here can be sample data based on the above-mentioned training leakage judgment model. The leakage risk result label here can be based on manually labeled leakage risk results. Therefore, the sample multi-source monitoring data can be input into the initial neural network model, and the sample leakage risk results can be output through the initial neural network model. The initial neural network model is iterated through the sample leakage risk results and the leakage risk result labels, and can be tested based on the test data. That is, with the goal of making the sample leakage risk results close to the leakage risk result label, the initial neural network model is iterated through parameters to obtain the final leakage risk assessment model.

[0042] Based on any of the above embodiments, step 110 includes: Obtain multi-source monitoring data for each pipeline section; Inputting the multi-source monitoring data into a leakage determination model to determine the leakage determination result of each section of the pipeline; Based on the leakage determination result, the pipeline is divided into a suspected leakage section and a non-leakage section; The leakage determination model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage result labels.

[0043] Here, the leakage determination model can be obtained based on sample multi-source monitoring data, leakage result labels and initial neural network model training. It is understandable that the multi-source monitoring data collected in actual mines are usually in an interval segment and may not cover multi-source monitoring data under various leakage levels. Therefore, the sample multi-source monitoring data here can include historical multi-source monitoring data collected in actual mines, as well as multi-source monitoring data collected from carbon dioxide leakage in a laboratory simulated mine environment, thereby obtaining rich and diverse sample multi-source monitoring data, thereby improving the determination performance of the trained leakage determination model.

[0044] Specifically, in the application stage of the leakage judgment model, multi-source sensors can be set at each section of the carbon dioxide pipeline or around the pipeline to collect the monitoring data of each section of the pipeline in real time. Then, each monitoring data at a preset time is transmitted to the control center to obtain the multi-source monitoring data of each section of the pipeline. Then, by inputting the multi-source monitoring data into the leakage judgment model, the multi-source monitoring data is applied by the leakage judgment model to calculate the judgment result of each section of the carbon dioxide pipeline. The judgment result here can be a suspected leakage score. When the suspected leakage score is greater than a preset threshold, the judgment result is a suspected leakage; when the suspected leakage score is less than a preset threshold, the judgment result is no leakage. Thus, the carbon dioxide pipeline with a suspected leakage judgment result can be regarded as a suspected leakage section. The suspected leakage section here can be at least one section of the carbon dioxide pipeline in the entire carbon dioxide pipeline.

[0045] In the training stage of the leakage judgment model, the multi-source monitoring data can be extracted as actual sample multi-source monitoring data through physical changes such as the sudden drop and then rise of the temperature in the supercritical carbon dioxide transport pipeline in mine refrigeration, the diffusion rise of the surrounding carbon dioxide detection concentration, and the force borne by the pipeline. In addition, a leakage experiment can be carried out through the mine environment simulated in the laboratory, and the simulated multi-source monitoring data can be extracted as simulated sample multi-source monitoring data. Thus, the actual sample multi-source monitoring data and the simulated sample multi-source monitoring data can be used as sample multi-source monitoring data. At the same time, the leakage point corresponding to the sample multi-source monitoring data can be obtained as a leakage result label. In detail, the sample multi-source monitoring data can be input into the initial neural network model, and the sample leakage point can be output through the initial neural network model. Then, the initial neural network model can be trained based on the sample leakage point and the leakage result label, and can be tested based on the test data. That is, with the goal of making the sample leakage point close to the leakage result label, the initial neural network model is trained to obtain a leakage judgment model with accurate and comprehensive final leakage point determination.

[0046] Based on any of the above embodiments, a plurality of composite optical cables are attached to the wall of each section of the pipeline; The composite optical cable includes a multimode temperature-sensitive optical fiber, a single-mode sound-sensitive optical fiber, and a grating stress-sensing optical fiber; The multi-mode temperature-sensing optical fiber is used to collect temperature monitoring data, the single-mode sound-sensing optical fiber is used to collect sound wave monitoring data, and the grating stress-sensing optical fiber is used to transmit the temperature monitoring data and the sound wave monitoring data.

[0047] Specifically, Figure 2 is a schematic cross-sectional view of a carbon dioxide pipeline provided by the present invention, such as Figure 2 As shown, 210 represents a carbon dioxide pipeline, and 220 represents a composite optical cable, which is 3 in number. Among them, the 3 composite optical cables 220 are evenly distributed around the carbon dioxide pipeline 210 and are close to the pipe wall of the carbon dioxide pipeline 210. In addition, the composite optical cable has a tensile-resistant steel core 221 and other strength materials in the center, and various sensing optical fibers 222 are distributed around the steel core composite optical cable, and two optical fibers of any type are symmetrically distributed about the steel core.

[0048] It is understandable that there are three or more optical cables outside the pipeline for measurement to prevent the leakage point from not being measured on the opposite side of the optical cable, thereby ensuring the accuracy of the leakage monitoring results and the leakage risk assessment results.

[0049] It should be noted that the composite optical cable includes multimode temperature sensing optical fiber, single-mode acoustic sensing optical fiber and grating stress sensing optical fiber. Among them, the multimode temperature sensing optical fiber is used to collect temperature monitoring data, the single-mode acoustic sensing optical fiber is used to collect acoustic wave monitoring data, and the grating stress sensing optical fiber is used to transmit temperature monitoring data and acoustic wave monitoring data.

[0050] Therefore, multiple composite optical cables close to the wall of the carbon dioxide pipeline can realize distributed temperature sensing and stress sensing. In addition, the composite optical cable has iron core and other materials that can meet high-strength tensile strength, which can be used normally in mines. In addition, the optical cable is close to the outside of the pipeline, and the pipeline and the optical cable are wrapped in a thermal insulation layer, which can ensure high temperature measurement accuracy.

[0051] Based on any of the above embodiments, the pipeline is a carbon dioxide pipeline; and the image monitoring data in the multi-source monitoring data includes optical imaging images and thermal imaging images.

[0052] Specifically, the optical imaging image can be acquired based on an optical camera, and the thermal imaging image can be acquired based on a thermal imaging camera, and the optical camera and the thermal imaging camera can be directly connected to the control center by wire. It is understandable that thermal imaging monitoring can perform rough range temperature measurement.

[0053] It should be noted that equipment that is not installed on the carbon dioxide pipeline, such as optical cameras, thermal imaging cameras, and carbon dioxide concentration sensors, can be increased in number to ensure that their monitoring range can cover the entire pipeline, thereby ensuring the accuracy and comprehensiveness of carbon dioxide pipeline leak positioning and leakage risk assessment.

[0054] Based on any of the above embodiments, Figure 3 Schematic diagram of the structure of the carbon dioxide pipeline leakage monitoring system provided by the present invention. Figure 3 As shown in the figure, the system includes optical imaging monitoring, thermal imaging monitoring, pressure sensors, solenoid valves, distributed optical fiber sensors, carbon dioxide concentration sensors, control centers, and carbon dioxide pipelines. Among them, each source sensor establishes a communication connection with the control center to transmit monitoring data. The long-distance carbon dioxide pipeline is divided into multiple short unit length segments by solenoid valves. Pressure sensors are installed at both ends of the solenoid valves. A monitoring camera system is installed around the carbon dioxide pipeline, including optical imaging monitoring and thermal imaging monitoring, as well as carbon dioxide concentration sensors. The installation distance between two carbon dioxide concentration sensors does not exceed the unit segment pipeline length, the maximum monitoring camera range is greater than the installation distance between two adjacent monitoring stations, and the measurement range can cover the entire pipeline.

[0055] Based on any of the above embodiments, step 120 includes: Comparing the first multi-source monitoring data corresponding to at least one of the non-leakage segments with the second multi-source monitoring data of the target suspected leakage segment to determine a first review result; Determining a second review result based on the optical imaging image and the thermal imaging image of the target suspected leakage section; The review result is determined based on the first review result and the second review result.

[0056] Specifically, the control unit can automatically compare the second multi-source monitoring data of the target suspected leakage section with the first multi-source monitoring data of at least one non-leakage section to obtain a first composite result based on system automation.

[0057] In addition, the second manually obtained second verification result can be determined by judging whether ice condensation occurs in the optical imaging image of the target suspected leakage section and whether an obvious low temperature area is observed in the thermal imaging image. In detail, when ice condensation occurs, the second verification result can be considered to be the existence of a suspected carbon dioxide leak; otherwise, the second verification result can be considered to be the absence of a suspected carbon dioxide leak. When an obvious low temperature area is observed, the verification result can be considered to be the existence of a suspected carbon dioxide leak; otherwise, the verification result can be considered to be the absence of a suspected carbon dioxide leak.

[0058] Finally, if there is a suspected leak in either the first review result or the second review result, the final review result is determined to be a suspected leak of carbon dioxide. When there is no suspected leak of carbon dioxide in both the first review result and the second review result, the final review result is determined to be no suspected leak of carbon dioxide.

[0059] Figure 4 This is a second flow chart of the pipeline leakage monitoring method provided by the present invention, such as Figure 4 As shown, the method includes: first, substituting the multi-parameter measurement data of each unit segment into the leakage judgment model every unit time to obtain the leakage judgment score of each unit segment; then, whether the leakage judgment score is greater than a minimum threshold, when the leakage judgment score is less than the minimum threshold, judging that the unit segment has no leakage risk; when the leakage judgment score is greater than the minimum threshold, judging that the unit segment is suspected of leakage, and preliminarily obtaining the suspected leakage segment.

[0060] Next, the multi-source parameter monitoring data of the suspected leakage section and other unit sections can be compared horizontally to obtain the system comparison result; combined with the image monitoring data to assist in manual judgment and obtain the manual judgment result. Determine whether the system comparison result and the manual judgment result are consistent. If the system comparison result and the manual judgment result are inconsistent, the maintenance personnel will go to the suspected leakage section for investigation; if the system comparison result and the manual judgment result are consistent, the pressure monitoring data and the acoustic wave monitoring data in the leakage time period corresponding to the target suspected leakage section are coupled to obtain the leakage location point.

[0061] The method provided in the embodiment of the present invention makes targeted arrangements for different measurement methods at different stages, uses distributed optical fiber temperature measurement to locate the problematic section and determine the basic position of the leak, and gives full play to the advantages of various monitoring methods such as the wide detection range of temperature-sensitive optical fiber and the convenience of negative pressure wave measurement; and provides conditions for the use of each method. For example, temperature and carbon dioxide concentration detection can effectively determine the start time of the leak to facilitate positioning by negative pressure waves and sound waves.

[0062] Based on any of the above embodiments, Figure 5 Schematic diagram of the structure of the pipeline leakage monitoring device provided by the present invention, such as Figure 5 As shown, the device comprises: The segment positioning unit 510 divides all pipelines into suspected leakage segments and non-leakage segments based on the multi-source monitoring data of each pipeline segment; A review unit 520 reviews any target suspected leakage segment based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, and determines a review result; A time period determination unit 530, when the verification result is true, determines a leakage time period based on the temperature monitoring data of the target suspected leakage section; The point positioning unit 540 obtains the leakage positioning point of the target suspected leakage section based on the pressure monitoring data and the acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section.

[0063] The device provided by the embodiment of the present invention performs coarse positioning based on the multi-source monitoring data of each section of the pipeline to divide all pipelines into suspected leakage sections and non-leakage sections, and reviews any target suspected leakage section based on the first multi-source monitoring data corresponding to at least one non-leakage section to determine the review result; when the review result is true, the leakage time period is determined based on the temperature monitoring data of the target suspected leakage section; based on the pressure monitoring data and acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section, fine positioning is performed to obtain the leakage positioning point of the target suspected leakage section, thereby realizing multiple precision leakage positioning based on multi-source monitoring data, and improving the accuracy, comprehensiveness and credibility of leakage positioning monitoring.

[0064] Based on any of the above embodiments, the point positioning unit is specifically used for: Determine a first candidate leakage point in the suspected leakage section based on the temperature monitoring data and the carbon dioxide concentration monitoring data within the leakage time period corresponding to the target suspected leakage section; De-noising the pressure monitoring data and the sound wave monitoring data to obtain de-noised pressure monitoring data and sound wave monitoring data; determining a second leakage candidate point based on the noise reduction pressure monitoring data and the noise reduction wave monitoring data; The leakage location point is obtained based on the first leakage candidate point and the second leakage candidate point.

[0065] Based on any of the above embodiments, solenoid valves are respectively provided at both ends of each section of the pipeline; Based on any of the above embodiments, the point positioning unit includes a risk assessment unit, and the risk assessment unit is specifically used to: Determine the leakage risk result of the leakage location point based on the multi-source monitoring data of the leakage location point and the leakage risk assessment model; Based on the leakage risk result, a maintenance strategy is determined, wherein the maintenance strategy is used to instruct the staff to close the solenoid valves at both ends of the pipeline where the leakage location point is located; The leakage risk assessment model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage risk result labels.

[0066] Based on any of the above embodiments, the segment positioning unit is specifically used for: Obtain multi-source monitoring data for each pipeline section; Inputting the multi-source monitoring data into a leakage determination model to determine the leakage determination result of each section of the pipeline; Based on the leakage determination result, the pipeline is divided into a suspected leakage section and a non-leakage section; The leakage determination model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage result labels.

[0067] Based on any of the above embodiments, a plurality of composite optical cables are attached to the wall of each section of the pipeline; The composite optical cable includes a multimode temperature-sensitive optical fiber, a single-mode sound-sensitive optical fiber, and a grating stress-sensing optical fiber; The multi-mode temperature-sensing optical fiber is used to collect temperature monitoring data, the single-mode sound-sensing optical fiber is used to collect sound wave monitoring data, and the grating stress-sensing optical fiber is used to transmit the temperature monitoring data and the sound wave monitoring data.

[0068] Based on any of the above embodiments, the pipeline is a carbon dioxide pipeline; and the image monitoring data in the multi-source monitoring data includes optical imaging images and thermal imaging images.

[0069] Based on any of the above embodiments, the review unit is specifically used for: Comparing the first multi-source monitoring data corresponding to at least one of the non-leakage segments with the second multi-source monitoring data of the target suspected leakage segment to determine a first review result; Determining a second review result based on the optical imaging image and the thermal imaging image of the target suspected leakage section; The review result is determined based on the first review result and the second review result.

[0070] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communication interface 620 and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the pipeline leakage monitoring method, which includes: based on the multi-source monitoring data of each section of the pipeline, all pipelines are divided into suspected leakage sections and non-leakage sections; based on the first multi-source monitoring data corresponding to at least one of the non-leakage sections, any target suspected leakage section is reviewed to determine the review result; if the review result is true, the leakage time period is determined based on the temperature monitoring data of the target suspected leakage section; based on the pressure monitoring data and the acoustic wave monitoring data corresponding to the target suspected leakage section in the leakage time period, the leakage location point of the target suspected leakage section is obtained.

[0071] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0072] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the pipeline leakage monitoring method provided by the above-mentioned methods, and the method includes: based on the multi-source monitoring data of each section of the pipeline, all pipelines are divided into suspected leakage sections and non-leakage sections; based on the first multi-source monitoring data corresponding to at least one of the non-leakage sections, any target suspected leakage section is reviewed to determine the review result; when the review result is true, based on the temperature monitoring data of the target suspected leakage section, the leakage time period is determined; based on the pressure monitoring data and acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section, the leakage location point of the target suspected leakage section is obtained.

[0073] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the pipeline leakage monitoring method provided by the above-mentioned methods, the method comprising: based on the multi-source monitoring data of each section of the pipeline, dividing all pipelines into suspected leakage sections and non-leakage sections; based on the first multi-source monitoring data corresponding to at least one of the non-leakage sections, reviewing any target suspected leakage section to determine a review result; if the review result is true, determining the leakage time period based on the temperature monitoring data of the target suspected leakage section; and obtaining the leakage location point of the target suspected leakage section based on the pressure monitoring data and acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section.

[0074] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0075] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A pipeline leakage monitoring method, characterized in that: include: Based on the multi-source monitoring data of each pipeline section, all pipelines are divided into suspected leakage sections and non-leakage sections; Based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, review any target suspected leakage segment to determine a review result; In the case where the review result is true, determining the leakage time period based on the temperature monitoring data of the target suspected leakage section; Based on the pressure monitoring data and the acoustic wave monitoring data within the leakage time period corresponding to the target suspected leakage section, the leakage location point of the target suspected leakage section is obtained.

2. The pipeline leakage monitoring method according to claim 1, characterized in that: The obtaining of the leakage location point of the target suspected leakage section based on the pressure monitoring data and the acoustic wave monitoring data in the leakage time period corresponding to the target suspected leakage section includes: Determine a first candidate leakage point in the suspected leakage section based on the temperature monitoring data and the carbon dioxide concentration monitoring data within the leakage time period corresponding to the target suspected leakage section; De-noising the pressure monitoring data and the sound wave monitoring data to obtain de-noised pressure monitoring data and sound wave monitoring data; determining a second leakage candidate point based on the noise reduction pressure monitoring data and the noise reduction wave monitoring data; The leakage location point is obtained based on the first leakage candidate point and the second leakage candidate point.

3. The pipeline leakage monitoring method according to claim 2, characterized in that: Solenoid valves are respectively arranged at both ends of each section of the pipeline; Based on the first leakage candidate point and the second leakage candidate point, the leakage location point is obtained, and then the following steps are included: Determine the leakage risk result of the leakage location point based on the multi-source monitoring data of the leakage location point and the leakage risk assessment model; Based on the leakage risk result, a maintenance strategy is determined, wherein the maintenance strategy is used to instruct the staff to close the solenoid valves at both ends of the pipeline where the leakage location point is located; The leakage risk assessment model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage risk result labels.

4. The pipeline leakage monitoring method according to any one of claims 1 to 3, characterized in that: Based on the multi-source monitoring data of each pipeline section, all pipelines are divided into suspected leakage sections and non-leakage sections, including: Obtain multi-source monitoring data for each pipeline section; Inputting the multi-source monitoring data into a leakage determination model to determine the leakage determination result of each section of the pipeline; Based on the leakage determination result, the pipeline is divided into a suspected leakage section and a non-leakage section; The leakage determination model is obtained after training the initial neural network model based on sample multi-source monitoring data and leakage result labels.

5. The pipeline leakage monitoring method according to any one of claims 1 to 3, characterized in that: A plurality of composite optical cables are attached to the wall of each section of the pipeline; The composite optical cable includes a multimode temperature-sensitive optical fiber, a single-mode sound-sensitive optical fiber, and a grating stress-sensing optical fiber; The multi-mode temperature-sensing optical fiber is used to collect temperature monitoring data, the single-mode sound-sensing optical fiber is used to collect sound wave monitoring data, and the grating stress-sensing optical fiber is used to transmit the temperature monitoring data and the sound wave monitoring data.

6. The pipeline leakage monitoring method according to any one of claims 1 to 3, characterized in that: The pipeline is a carbon dioxide pipeline; the image monitoring data in the multi-source monitoring data includes optical imaging images and thermal imaging images; The step of reviewing any target suspected leakage segment based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments to determine the review result includes: Comparing the first multi-source monitoring data corresponding to at least one of the non-leakage segments with the second multi-source monitoring data of the target suspected leakage segment to determine a first review result; Determining a second review result based on the optical imaging image and the thermal imaging image of the target suspected leakage section; The review result is determined based on the first review result and the second review result.

7. A pipeline leakage monitoring device, characterized in that: include: The segment positioning unit divides all pipelines into suspected leakage segments and non-leakage segments based on the multi-source monitoring data of each pipeline segment; A review unit, based on the first multi-source monitoring data corresponding to at least one of the non-leakage segments, reviews any target suspected leakage segment and determines a review result; a time period determination unit, which determines the leakage time period based on the temperature monitoring data of the target suspected leakage section when the verification result is true; The point positioning unit obtains the leakage positioning point of the target suspected leakage section based on the pressure monitoring data and the sound wave monitoring data within the leakage time period corresponding to the target suspected leakage section.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the pipeline leakage monitoring method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the pipeline leakage monitoring method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the pipeline leakage monitoring method according to any one of claims 1 to 6 is implemented.

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