Leakage detection device and method for high-fullness pipeline

The multi-physics data in the pipeline is obtained through the multi-physics field detection unit and coupled analysis is used using artificial intelligence algorithms to solve the problem of difficult to quickly and finely locate underwater leakage points in the existing technology, and achieve high-precision leakage detection.

CN119880264APending Publication Date: 2025-04-25CHANGJIANG GEOPHYSICAL EXPLORATION & TESTING (WUHAN) CO LTD +1
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Patent Information

Application Number
CN202411914717.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

It is difficult for the prior art to adopt a general and convenient method to quickly and finely locate underwater leakage points, resulting in low accuracy of detection results.

Method used

A multi-physics field detection unit is used to obtain the potential field, flow rate and temperature detection data in the pipeline, and the coupling detection unit is used to conduct coupling analysis based on artificial intelligence algorithms to discover and locate suspected leakage points.

Benefits of technology

Through the coupled analysis of multi-physical field detection data, the versatility and accuracy of pipeline leakage detection are improved, and rapid detection and accurate positioning of leakage points are achieved.

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Abstract

The invention provides a leakage detection device and method for a high-fullness pipeline. The device comprises a multi-physical field detection unit and a coupling detection unit, the multi-physical field detection unit is used for acquiring multi-physical field detection data of a detection point in the to-be-detected pipeline; and the coupling detection unit is used for performing coupling analysis on the multi-physical field detection data of the detection points, and discovering and positioning suspected leakage points of the to-be-detected pipeline. According to the device and the method provided by the invention, potential field detection data, flow velocity detection data and temperature detection data of the detection points in the to-be-detected pipeline are acquired as multi-physical field detection data, and coupling analysis is performed on the multi-physical field detection data of the detection points, so that mutual correspondence and mutual contrast interpretation of three physical fields are realized; the universality and the accuracy of pipeline leakage detection are improved, and rapid detection and pipeline leakage detection with a detection result are realized.
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Description

Technical Field

[0001] The present invention relates to the technical field of pipeline detection, and in particular to a leakage detection device and method for a high-filling pipeline. Background Art

[0002] As a key component of the urban water circulation system, the integrity of drainage pipes is directly related to urban flood control and drainage, water resources management, and environmental protection. However, with the increase in the service life of pipes and the influence of external environmental factors, the problem of pipe leakage has become increasingly prominent, which not only leads to a large loss of water resources, but also may pollute groundwater, seriously affecting the ecological security of the city. At present, the leakage detection of drainage pipes in the "sick" operating state is mainly carried out using pipeline closed-circuit television, and the water level in the drainage pipe needs to be lowered before the detection.

[0003] However, the existing detection methods require a lot of coordination and preparation before detection, which is difficult, and the accuracy of the detection results is not high. In other words, it is currently difficult to use a universal and convenient detection method to quickly and accurately locate underwater leakage points. Summary of the invention

[0004] The present invention provides a leakage detection device and method for a high-filling pipeline, which are used to solve the defect in the prior art that it is difficult to use a universal and convenient detection method to quickly and accurately locate an underwater leakage point.

[0005] The present invention provides a leakage detection device for a high-filling pipeline, comprising: a multi-physical field detection unit and a coupling detection unit; the multi-physical field detection unit establishes a communication connection with the coupling detection unit; The multi-physical field detection unit is used to obtain multi-physical field detection data of the detection point in the pipeline to be detected, and the multi-physical field detection data includes potential field detection data, flow velocity detection data and temperature detection data; The coupling detection unit is used to perform coupling analysis on the multi-physical field detection data of the detection point to find and locate the suspected leakage point of the pipeline to be detected.

[0006] According to a leakage detection device for a high-filling pipeline provided by the present invention, the multi-physical field detection unit includes a current excitation sensor; The leakage detection device for a high-filling pipeline further includes a distributed electrode detection unit, wherein the distributed electrode detection unit includes a plurality of electrode nodes, and the plurality of electrode nodes are distributedly arranged above the pipeline to be detected; The distributed electrode detection unit is used to collect the potential field detection data generated by the current excitation sensor.

[0007] According to a leakage detection device for a high-filling pipeline provided by the present invention, the distributed electrode detection unit is also used to collect positioning data corresponding to the potential field detection data; The coupling detection unit is specifically used to perform coupling analysis on the multi-physical field detection data of the detection point based on an artificial intelligence algorithm to obtain a coupling analysis result; The suspected leakage point is obtained based on the positioning data corresponding to the potential field detection data related to the coupling analysis result.

[0008] According to a leakage detection device for a high-filled pipeline provided by the present invention, the multi-physical field detection data of the detection point is coupled analyzed based on an artificial intelligence algorithm to obtain a coupling analysis result, including: De-noising the multi-physics field detection data to obtain optimized detection data; Based on the artificial intelligence algorithm, the optimized detection data of each physical field in the optimized detection data is analyzed to obtain analysis results of each physical field; A coupling analysis is performed based on the analysis results of the physical fields to obtain the coupling analysis results.

[0009] According to a leakage detection device for a high-filling pipeline provided by the present invention, the multi-physical field detection unit further includes a flow rate sensor and a temperature sensor; The multi-physics field detection unit is constructed based on the integration of the flow velocity sensor, the temperature sensor and the current excitation sensor.

[0010] According to a leakage detection device for a high-filling pipeline provided by the present invention, the multi-physical field detection unit is fixed on a traction rope, and the traction rope runs through the pipeline to be detected; The traction rope includes a data transmission bus, which is connected to the flow velocity sensor and the temperature sensor and is used to transmit the flow velocity detection data and the temperature detection data to the coupling detection unit.

[0011] The present invention also provides a leakage detection method for a high-filling pipeline, comprising: Acquire multi-physical field detection data of a detection point in the pipeline to be detected, wherein the multi-physical field detection data includes potential field detection data, flow velocity detection data, and temperature detection data; The multi-physical field detection data of the detection point are coupled and analyzed to discover and locate the suspected leakage point of the pipeline to be detected.

[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 the processor implements the leakage detection method for a high-filling pipeline as described above when executing the program.

[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 leakage detection method for a high-filling pipeline as described 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 leakage detection method for a high-filling pipeline as described above is implemented.

[0015] The leakage detection device and method for a high-filling pipeline provided by the present invention obtains potential field detection data, flow velocity detection data and temperature detection data of a detection point in the pipeline to be detected as multi-physical field detection data, and performs coupling analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected. The three physical fields correspond to each other and form a comparative explanation with each other to improve the versatility and accuracy of pipeline leakage detection, thereby realizing rapid detection and pipeline leakage detection with the detection results issued. 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 structural schematic diagrams of the leakage detection device for a high-filling pipeline provided by the present invention; Figure 2 It is a structural schematic diagram of the multi-physics field detection unit provided by the present invention; Figure 3 This is the second structural schematic diagram of the leakage detection device for a high-filling pipeline provided by the present invention; Figure 4 This is one of the flow diagrams of the leakage detection method for a high-filling pipeline provided by the present invention; Figure 5 This is the second flow chart of the leakage detection method for a high-filling pipeline 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: flow velocity detection device; 220: temperature measurement device; 230: current excitation device; 310: multi-physics field detection unit; 320: coupling detection unit; 330: distributed electrode detection unit. 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] In view of the above problems, the present invention provides a leakage detection device suitable for high-filling pipes of drainage pipes, which realizes universal, convenient and highly accurate leakage detection. Figure 1 FIG. 1 is one of the structural schematic diagrams of the leakage detection device for a high-filling pipeline provided by the present invention, such as Figure 1 As shown, the device includes: a multi-physical field detection unit 110 and a coupling detection unit 120; the multi-physical field detection unit 110 establishes a communication connection with the coupling detection unit 120; The multi-physical field detection unit 110 is used to obtain multi-physical field detection data of the detection point in the pipeline to be detected, and the multi-physical field detection data includes potential field detection data, flow velocity detection data and temperature detection data; The coupling detection unit 120 is used to perform coupling analysis on the multi-physical field detection data of the detection point to find and locate the suspected leakage point of the pipeline to be detected.

[0021] Here, the pipeline to be inspected is a high-filling drainage pipeline. The fluid filling degree in the high-filling drainage pipeline is high, the fluid flow in the pipe is complex, and the pressure on the pipeline is large, so the possibility of leakage is also high.

[0022] Specifically, during the leakage detection process of the drainage pipe, first, the multi-physical field detection data of the detection point in the pipe to be detected, including potential field detection data, flow velocity detection data, and temperature detection data, can be obtained through the multi-physical field detection unit 110 disposed in the pipe to be detected. After the multi-physical field detection data is obtained, the multi-physical field detection data is transmitted to the coupling detection unit 120.

[0023] In detail, the multi-physics field detection unit 110 here may include a current excitation sensor, a temperature sensor, and a flow rate sensor. Among them, the current excitation sensor can be used to generate a current signal at the detection point position to excite the potential field, and then the potential field detection data can be received by the electrode unit set on the ground corresponding to the pipeline to be detected. In addition, the temperature detection data and flow rate detection data corresponding to the detection point can be obtained by the temperature sensor and the flow rate sensor respectively. Then, the potential field detection data can be transmitted to the coupling detection unit 120 by wireless transmission, and the temperature detection data and flow rate detection data can be transmitted to the coupling detection unit 120 by wired transmission.

[0024] Here, the pipeline to be inspected can be a pipeline between two inspection wells divided into a pipeline to be inspected, as a basic unit of the entire pipeline. In addition, the detection point here can be a point corresponding to any position in the pipeline to be inspected, and the number of the points can be multiple.

[0025] It should be noted that the multi-physical field detection data of a single detection point obtained here can be considered as the potential field detection data, flow velocity detection data and temperature detection data of the same position. For example, the potential field detection data, flow velocity detection data and temperature detection data of detection point A. It can be understood that compared with the single image detection data obtained by pipeline closed-circuit television in the prior art, the multi-physical field detection data composed of the potential field detection data, flow velocity detection data and temperature detection data corresponding to the detection point is obtained in the embodiment of the present invention, so as to achieve the acquisition of multi-dimensional detection data, improve the diversity of detection data, and further improve the accuracy and timeliness of leakage detection based on multi-physical field detection data, so as to accurately and quickly discover and locate the leakage point.

[0026] It should also be noted that, compared with the prior art, before leak detection of a high-filling drainage pipe, it is necessary to first lower the water level in the drainage pipe, which consumes a large amount of manpower and material resources, and the accuracy of the detection result is not ideal. In the embodiment of the present invention, the potential field detection data, flow velocity detection data, and temperature detection data are obtained, and there is no need to lower the water level of the pipeline to be detected in advance, and it can be directly operated in the high-filling drainage pipe, so that the detection device is more versatile in the actual application of pipeline leakage detection, the method of use is simpler, and the detection cost is lower.

[0027] Further, after the multi-physics field detection data is obtained by the multi-physics field detection unit 110, the multi-physics field detection data transmitted in real time can be received by the coupling detection unit 120. Then, the multi-physics field detection data of the detection point can be coupled and analyzed by the coupling detection unit 120 to find and locate the suspected leakage point of the pipeline to be detected. The suspected leakage point here can be empty or at least one.

[0028] For example, by combining the potential field detection data, flow velocity detection data and temperature detection data of the detection point, a coupling analysis can be performed to obtain the analysis result of the detection point as the final suspected leakage point. That is, if the analysis result of the detection point is suspected leakage, the detection point can be used as the suspected leakage point of the pipeline to be detected; if the analysis result of the detection point is no leakage, the detection point can be excluded as the suspected leakage point of the pipeline to be detected.

[0029] Alternatively, the single physical field detection data at the detection point can be analyzed to obtain the analysis result of the single physical field. Then, the analysis result of the single physical field is coupled and analyzed to obtain the final suspected leakage point. For example, only when there are multiple single physical field analysis results indicating leakage, the detection point is regarded as a suspected leakage point.

[0030] The device provided by the embodiment of the present invention obtains potential field detection data, flow velocity detection data and temperature detection data of the detection point in the pipeline to be detected as multi-physical field detection data, and performs coupled analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected. The three physical fields correspond to each other and form a comparative interpretation with each other to improve the versatility and accuracy of pipeline leakage detection, and realize rapid detection and pipeline leakage detection with the issuance of detection results.

[0031] Based on any of the above embodiments, the multi-physics field detection unit 110 includes a current excitation sensor; The leakage detection device for a high-filling pipeline further includes a distributed electrode detection unit, wherein the distributed electrode detection unit includes a plurality of electrode nodes, and the plurality of electrode nodes are distributedly arranged above the pipeline to be detected; The distributed electrode detection unit is used to collect the potential field detection data generated by the current excitation sensor.

[0032] Here, the leakage detection device for a high-filling pipeline further includes a distributed electrode detection unit, and the distributed electrode detection unit may include a plurality of electrode nodes, and the plurality of electrode nodes are distributedly arranged above the pipeline to be detected. For example, the plurality of electrode nodes may be arranged in a linear regular distributed arrangement in a rectangular range, and arranged on the ground above the pipeline to be detected.

[0033] Specifically, when the multi-physics field detection unit moves in the pipeline to be detected, the current excitation sensor generates current at the detection point. Then, the corresponding electrode node in the distributed electrode detection unit is used to collect the potential field generated by the current excitation sensor at the detection point to obtain the potential field detection data. It can be understood that the potential field detection data here can reflect the electrochemical state inside the pipeline, such as corrosion conditions, electrolyte distribution, etc., and has a certain indicative effect on identifying pipeline leakage points.

[0034] It should be noted that the distributed electrode detection unit here includes multiple electrode nodes with functions such as flexibility, wireless transmission, high precision, high resolution, and long-term working data storage. It can better adapt to the leakage detection of drainage pipes and realize detection without lowering the water level in advance. It can also obtain more accurate potential field detection data through the careful arrangement of electrode nodes, thereby improving the accuracy of pipeline leakage detection.

[0035] It should be noted that the deployment of distributed electrode detection units effectively solves the problem that traditional electrodes cannot be deployed on urban hardened roads, resulting in the inability to collect data using the focused current method. In addition, the deployment of distributed electrode detection units is flexible and less restricted by the complex urban ground environment, greatly improving work efficiency.

[0036] In addition, all the electrode nodes in the distributed electrode detection unit are distributed on the ground above the pipeline to be detected, and the current excitation sensor in the multi-physical field detection unit is located inside the pipeline to be detected. Therefore, a three-dimensional potential field detection device is constructed by the distributed electrode detection unit and the current excitation sensor, and three-dimensional potential field detection data is obtained. The collected potential field detection data contains richer information and can more accurately and effectively identify the leakage point of the high-filling drainage pipeline, that is, obtain high-precision potential field detection data.

[0037] Based on any of the above embodiments, the distributed electrode detection unit is further used to collect positioning data corresponding to the potential field detection data; The coupling detection unit is specifically used to perform coupling analysis on the multi-physical field detection data of the detection point based on an artificial intelligence algorithm to obtain a coupling analysis result; The suspected leakage point is obtained based on the positioning data corresponding to the potential field detection data related to the coupling analysis result.

[0038] Here, each electrode node in the distributed electrode detection unit includes a positioning unit, which can be used to obtain the positioning information corresponding to the electrode node. The positioning unit here can be based on GPS (Global Positioning System) positioning or Beidou satellite positioning.

[0039] Specifically, in the process of detecting pipeline leakage, when any electrode node in the distributed electrode detection unit detects potential field detection data, the potential field detection data and the positioning data of the electrode node are transmitted to the coupling detection unit together. Then, the coupling detection unit performs coupling analysis on the multi-physical field detection data of the detection point based on the artificial intelligence algorithm to obtain a coupling analysis result. The artificial intelligence algorithm here can be a deep learning algorithm. For example, a pipeline leakage detection model can be constructed based on the deep learning algorithm. Then, by inputting the multi-physical field detection data into the pipeline leakage detection model, the multi-physical field detection data is coupled and analyzed by the pipeline leakage detection model to obtain a coupling analysis result.

[0040] The coupling analysis result here can be used to reflect that the potential field detection data, temperature detection data and flow velocity detection data of a certain detection point all reflect that the detection point may have leakage. It can be understood that at the location where the pipeline leaks, the corresponding potential field detection data, temperature detection data and flow velocity detection data may have abnormal value changes. Therefore, a coupling analysis can be performed based on the detection data, temperature detection data and flow velocity detection data to obtain a coupling analysis result for reflecting whether the pipeline is leaking.

[0041] Then, the suspected leakage point can be obtained through the positioning data corresponding to the potential field detection data related to the coupling analysis result. For example, the position of the electrode node can be obtained through the positioning data corresponding to the potential field detection data related to the coupling analysis result, and then the position of the detection point in the drainage pipe corresponding to the position of the electrode node can be inferred through the positional relationship between the position of the electrode node and the drainage pipe, and the pipe corresponding to the position of the detection point is used as the suspected leakage point.

[0042] The device provided by the embodiment of the present invention is also used to collect positioning data corresponding to the potential field detection data through the distributed electrode detection unit, and to perform coupling analysis on the multi-physical field detection data of the detection point through an artificial intelligence algorithm to obtain a coupling analysis result, and then combine the coupling analysis result and the positioning data corresponding to the potential field detection data related to the coupling analysis result to obtain the suspected leakage point, which greatly improves the accuracy of detecting the suspected leakage point and the accuracy of positioning.

[0043] Based on any of the above embodiments, the coupling analysis of the multi-physical field detection data of the detection point based on the artificial intelligence algorithm to obtain the coupling analysis result includes: De-noising the multi-physics field detection data to obtain optimized detection data; Based on the artificial intelligence algorithm, the optimized detection data of each physical field in the optimized detection data is analyzed to obtain analysis results of each physical field; A coupling analysis is performed based on the analysis results of the physical fields to obtain the coupling analysis results.

[0044] Specifically, first, the detection data of each physical field in the multi-physical field detection data can be denoised to obtain the optimized data of each physical field, that is, the optimized detection data. The denoising process here can be implemented based on an artificial intelligence algorithm to remove interference signals in the multi-physical field detection data, pick up abnormal value points, and provide data support for comprehensive interpretation.

[0045] It should be noted that the collected potential field, velocity field and temperature field data are denoised through artificial intelligence algorithms to suppress random noise interference, highlight effective signals, automatically pick up abnormal points, and locate the underwater leakage position of the drainage pipe with high precision when the drainage pipe is full of water.

[0046] Then, the optimized detection data of each physical field in the optimized detection data can be analyzed by an artificial intelligence algorithm to obtain analysis results of each physical field. The analysis results of each physical field here can include the analysis results of pipeline leakage analysis based on potential field detection data, the analysis results of pipeline leakage analysis based on temperature detection data, and the analysis results of pipeline leakage analysis based on flow velocity detection data. The analysis results here can be the presence of leakage or the absence of leakage.

[0047] Finally, the coupled analysis results can be obtained by coupling the analysis results of each physical field. For example, when the analysis results of multiple physical fields are all leaking, the detection point is judged to have a leak; otherwise, there is no leak. For another example, when the analysis results of all physical fields are leaking, the detection point is judged to have a leak; otherwise, there is no leak.

[0048] The device provided by the embodiment of the present invention performs pipeline leakage analysis through detection data of multiple physical fields, and then performs coupling analysis based on the analysis results of each physical field to obtain coupled analysis results. The three physical fields correspond to each other and form a comparative interpretation with each other, thereby improving the multi-solution nature of the results and thus improving the accuracy of the detection results.

[0049] Based on any of the above embodiments, the multi-physical field detection unit further includes a flow rate sensor and a temperature sensor; The multi-physics field detection unit is constructed based on the integration of the flow velocity sensor, the temperature sensor and the current excitation sensor.

[0050] Here, the flow rate sensor can be an ultrasonic Doppler flowmeter, an ultrasonic time difference flowmeter, etc., which can be applicable to full or partly full pipes. Therefore, in the actual pipeline detection process, there is no need to lower the water level in the pipeline, thereby improving the versatility of the detection.

[0051] In addition, the temperature sensor may be a thermal resistor temperature sensor, which can accurately measure temperature in complex electromagnetic, chemical and physical environments.

[0052] Specifically, the flow rate sensor, temperature sensor and current excitation sensor can be integrated into an integrated detection device, that is, a multi-physical field detection unit. This makes it easier to detect multi-physical field detection data at the same position, so that detection data based on multi-physical fields can be mutually verified, thereby improving the accuracy of the detection results.

[0053] In one embodiment, Figure 2 is a schematic diagram of the structure of the multi-physics field detection unit provided by the present invention, such as Figure 2 As shown, the unit includes: a flow velocity detection device 210, a temperature measurement device 220, a current excitation device 230 and a shielding device. The flow velocity detection device 210 represents a flow velocity sensor, and the temperature measurement device 220 represents a temperature sensor.

[0054] Based on any of the above embodiments, the multi-physical field detection unit is fixed on a traction rope, and the traction rope runs through the pipeline to be detected; The traction rope includes a data transmission bus, which is connected to the flow velocity sensor and the temperature sensor and is used to transmit the flow velocity detection data and the temperature detection data to the coupling detection unit.

[0055] Here, the multi-physics field detection unit is fixed on a traction rope, and the traction rope runs through the pipeline to be detected. Therefore, by pulling the traction rope, the traction rope can pull the multi-physics field detection unit and slowly move along the liquid flow direction in the pipeline to be detected. Among them, the traction rope includes a data transmission bus, which is connected to the flow rate sensor and the temperature sensor, and is used to transmit the flow rate detection data and the temperature detection data to the coupling detection unit, so as to realize the wired transmission of the temperature detection data and the flow rate detection data.

[0056] In one embodiment, Figure 3 FIG. 2 is a second structural schematic diagram of a leakage detection device for a high-filling pipeline provided by the present invention. Figure 3 As shown, the device includes: a multi-physical field detection unit 310, a coupling detection unit 320, and a distributed electrode detection unit 330. In detail, the electrode nodes in the distributed electrode detection unit 330 are linearly and regularly distributed in a rectangular range on the ground of the pipeline to be detected that is full of water, and the potential field detection data obtained by the distributed electrode detection unit 330 is transmitted to the coupling detection unit 320 via wireless transmission.

[0057] In addition, the pipeline between inspection well 1 and inspection well 2 is the pipeline to be inspected. The multi-physical field detection unit 310 can be fixed on a traction rope, which runs through the pipeline to be inspected. The multi-physical field detection unit 310 is slowly moved downstream along the downstream direction of the water flow in the pipeline through the traction rope to perform leakage detection of the full water pipeline. In addition, the traction rope includes a data transmission bus, which is connected to the multi-physical field detection unit 310 and is used to transmit flow velocity detection data and temperature detection data to the coupling detection unit 320.

[0058] Based on any of the above embodiments, Figure 4 FIG. 1 is one of the flow diagrams of the leakage detection method for a high-filling pipeline provided by the present invention, such as Figure 4 As shown, the method includes: Step 410, obtaining multi-physical field detection data of the detection point in the pipeline to be detected, wherein the multi-physical field detection data includes potential field detection data, flow velocity detection data, and temperature detection data; Step 420: performing coupled analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected.

[0059] The method provided by the embodiment of the present invention obtains potential field detection data, flow velocity detection data and temperature detection data of the detection point in the pipeline to be detected as multi-physical field detection data, and performs coupled analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected. The three physical fields correspond to each other and form a comparative interpretation with each other to improve the versatility and accuracy of pipeline leakage detection, and realize rapid detection and pipeline leakage detection with the issuance of detection results.

[0060] Based on any of the above embodiments, Figure 5 FIG. 2 is a flow chart of the leakage detection method for a high-filled pipeline provided by the present invention. Figure 5 As shown, the method includes: first, arranging the on-site equipment, completing the arrangement of the multi-physical field detection unit and the coupling detection unit, the distributed electrode detection unit and the traction rope. After the detection equipment is arranged, data can be collected through the detection equipment, and data can be collected for the three-dimensional potential field, flow velocity field and temperature field to obtain potential field detection data, flow velocity detection data and temperature detection data. Then, the potential field detection data, flow velocity detection data and temperature detection data are processed by artificial intelligence algorithms, denoised and automatically sorted, and abnormal value points are picked up to provide data support for comprehensive interpretation. Furthermore, based on the artificial intelligence algorithm, the processed potential field detection data, flow velocity detection data and temperature detection data can be subjected to multi-field coupling comprehensive interpretation to accurately locate the leakage point, and discover and locate the suspected leakage point of the pipeline to be detected.

[0061] Figure 6An 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 leakage detection method for a high-filling pipeline, the method comprising: obtaining multi-physical field detection data of a detection point in the pipeline to be detected, the multi-physical field detection data comprising potential field detection data, flow velocity detection data and temperature detection data; performing coupling analysis on the multi-physical field detection data of the detection point to find and locate the suspected leakage point of the pipeline to be detected.

[0062] 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.

[0063] 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 leakage detection method for a high-filling pipeline provided by the above methods. The method includes: obtaining multi-physical field detection data of a detection point in the pipeline to be detected, the multi-physical field detection data including potential field detection data, flow velocity detection data and temperature detection data; performing coupled analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected.

[0064] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the leakage detection method for a high-filling pipeline provided by the above-mentioned methods. The method includes: obtaining multi-physical field detection data of a detection point in the pipeline to be detected, the multi-physical field detection data including potential field detection data, flow velocity detection data and temperature detection data; performing coupled analysis on the multi-physical field detection data of the detection point to discover and locate the suspected leakage point of the pipeline to be detected.

[0065] 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.

[0066] 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.

[0067] 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 leakage detection device for a high-filled pipeline, characterized in that: include: A multi-physics field detection unit and a coupling detection unit; the multi-physics field detection unit establishes a communication connection with the coupling detection unit; The multi-physical field detection unit is used to obtain multi-physical field detection data of the detection point in the pipeline to be detected, and the multi-physical field detection data includes potential field detection data, flow velocity detection data and temperature detection data; The coupling detection unit is used to perform coupling analysis on the multi-physical field detection data of the detection point to find and locate the suspected leakage point of the pipeline to be detected.

2. The leakage detection device for a high-filled pipeline according to claim 1, characterized in that: The multi-physics field detection unit includes a current excitation sensor; The leakage detection device for a high-filling pipeline further includes a distributed electrode detection unit, wherein the distributed electrode detection unit includes a plurality of electrode nodes, and the plurality of electrode nodes are distributedly arranged above the pipeline to be detected; The distributed electrode detection unit is used to collect the potential field detection data generated by the current excitation sensor.

3. The leakage detection device for a high-filled pipeline according to claim 2, characterized in that: The distributed electrode detection unit is also used to collect positioning data corresponding to the potential field detection data; The coupling detection unit is specifically used to perform coupling analysis on the multi-physical field detection data of the detection point based on an artificial intelligence algorithm to obtain a coupling analysis result; The suspected leakage point is obtained based on the positioning data corresponding to the potential field detection data related to the coupling analysis result.

4. The leakage detection device for a high-filled pipeline according to claim 3, characterized in that: The coupling analysis is performed on the multi-physical field detection data of the detection point based on the artificial intelligence algorithm to obtain the coupling analysis results, including: De-noising the multi-physics field detection data to obtain optimized detection data; Based on the artificial intelligence algorithm, the optimized detection data of each physical field in the optimized detection data is analyzed to obtain analysis results of each physical field; A coupling analysis is performed based on the analysis results of the physical fields to obtain the coupling analysis results.

5. The leakage detection device for a high-filled pipeline according to any one of claims 2 to 4, characterized in that: The multi-physical field detection unit also includes a flow rate sensor and a temperature sensor; The multi-physics field detection unit is constructed based on the integration of the flow velocity sensor, the temperature sensor and the current excitation sensor.

6. The leakage detection device for a high-filled pipeline according to claim 5, characterized in that: The multi-physical field detection unit is fixed on a traction rope, and the traction rope runs through the pipeline to be detected; The traction rope includes a data transmission bus, which is connected to the flow velocity sensor and the temperature sensor and is used to transmit the flow velocity detection data and the temperature detection data to the coupling detection unit.

7. A method for detecting leakage of a high-filled pipeline, characterized in that: include: Acquire multi-physical field detection data of a detection point in the pipeline to be detected, wherein the multi-physical field detection data includes potential field detection data, flow velocity detection data, and temperature detection data; The multi-physical field detection data of the detection point are coupled and analyzed to discover and locate the suspected leakage point of the pipeline to be detected.

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 leakage detection method for a high-filling pipeline as claimed in claim 7 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 leakage detection method for a high-filling pipeline as claimed in claim 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the leakage detection method for a high-filling pipeline as claimed in claim 7 is implemented.