Pipeline water leakage detection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of data processing, and discloses a pipeline water leakage detection method, a pipeline water leakage detection device, pipeline water leakage detection equipment and a storage medium. Extracting positions of all candidate pipeline water leakage collection points of the target pipeline section by using pipeline construction layout information, and determining historical noise monitoring information of a noise influence area of each candidate pipeline water leakage collection point and maximum signal attenuation parameters of two adjacent candidate pipeline water leakage collection points; signal attenuation limitation and area noise limitation are considered, a pipeline water leakage sound wave detection strategy meeting the detection execution time period requirement is generated, pipeline water leakage detection personnel are driven to execute pipeline water leakage detection actions through the pipeline water leakage sound wave detection device, a final pipeline water leakage detection result is obtained, and therefore the accuracy of heat supply pipeline water leakage detection is improved, and the detection efficiency is improved. And the influence of different factors selected by pipeline section sampling points in the pipeline water leakage detection process is balanced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a pipeline leakage detection method, device, equipment and storage medium. Background Art

[0002] Pipeline leakage detection technology can help pipeline maintenance personnel to find and repair leaks in time, reduce water waste, reduce the production costs of water supply companies, ensure the normal operation of the water supply system, and ensure the water safety of residents and enterprises. It is usually used in urban water supply systems, industrial fields, buildings, garden irrigation systems, and oil and gas pipelines. For urban water supply systems, especially the leakage detection of heating pipelines between heating stations and various heating demand users, traditional manual detection solutions have problems such as low detection efficiency, high difficulty, and high risk of detection tasks.

[0003] At present, with the development and investment of relevant intelligent pipeline leakage detection equipment (such as relevant instruments and other pipeline leakage acoustic wave detection equipment), the above-mentioned problems caused by manual detection can be solved to a certain extent, but there are still some limitations in practical applications: (1) Since the relevant intelligent pipeline leakage detection equipment adopts the indirect measurement method of relevant indicator parameters, it is not a direct pipeline leakage detection, and the accuracy and reliability of its detection results are not high; (2) When using relevant instruments for pipeline leakage detection, since the relevant instruments generate pipeline leakage detection results by collecting vibration sound waves propagating along the pipeline at the leakage point at the sampling point, in actual engineering applications, the detection accuracy is affected by the distance between the sampling point and the leakage point and the environmental noise of the sampling point. In order to improve the monitoring accuracy, it is necessary to reduce the distance between adjacent sampling points as much as possible and avoid possible environmental noise. However, when allocating the leakage detection task of each pipeline section, in order to improve management efficiency and project progress, it is also necessary to consider the task completion time limit. The above two contradictory factors will increase the difficulty of selecting sampling points for pipeline sections.

[0004] Therefore, how to improve the accuracy of heating pipeline leakage detection and balance the influence of different factors on the selection of pipeline section sampling points during pipeline leakage detection is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a pipeline leakage detection method, device, equipment and storage medium, aiming to solve at least one of the above technical problems.

[0006] To achieve the above object, the present invention provides a pipeline leakage detection method, comprising the following steps: Acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; Based on the pipeline construction layout information of the target pipeline section, several candidate pipeline leakage collection points of the target pipeline section are extracted, and the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points is determined by using the position of each candidate pipeline leakage collection point; Using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point, the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points is calculated; According to the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points and the time of executing each pipeline water leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements is generated; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points in the target pipeline section for executing pipeline water leakage acoustic wave detection; The pipeline leakage acoustic wave detection strategy is sent to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, driving the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

[0007] Optionally, the steps for obtaining the target pipeline water leakage acoustic wave detection task include: Calling a pipeline water leakage acoustic wave detection task list; wherein the pipeline water leakage acoustic wave detection task list stores a plurality of pipeline water leakage acoustic wave detection tasks sorted by generation time, and each pipeline water leakage acoustic wave detection task includes a pipeline section identifier and a detection execution period; When a pipeline leakage acoustic wave detection request is received from a pipeline leakage detection personnel through a pipeline leakage detection terminal, the pipeline leakage acoustic wave detection task with the earliest generation time in the current pipeline leakage acoustic wave detection task list is extracted as the target pipeline leakage acoustic wave detection task, and the target pipeline section and detection execution period of the target pipeline leakage acoustic wave detection task are obtained.

[0008] Optionally, based on the pipeline construction layout information of the target pipeline section, a step of extracting several candidate pipeline leakage collection points of the target pipeline section specifically includes: Accessing a pipeline construction layout database; wherein the pipeline construction layout database stores pipeline construction layout information of a plurality of pipeline sections; Based on the pipeline section identification of the target pipeline water leakage acoustic wave detection task, the pipeline construction layout information of the target pipeline section is matched in the pipeline construction layout database, and several candidate pipeline water leakage collection points recorded in the pipeline construction layout information are extracted.

[0009] Optionally, the step of using the position of each candidate pipeline leakage collection point to determine the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points specifically includes: Acquire historical noise monitoring data collected by a plurality of noise detection devices arranged around the target pipeline section; wherein the historical noise monitoring information includes noise monitoring data collected by each noise detection device at each time point in the past target period; Calculate the influence distance between the first position of each candidate pipeline water leakage collection point and the second position of each noise detection device, and use the noise detection device with an influence distance smaller than the target distance as the associated noise detection device corresponding to the candidate pipeline water leakage collection point; The average value of the noise monitoring data collected by several associated noise detection devices of each candidate pipeline leakage collection point at each time point in the past target period is used as the historical noise monitoring information collected by the candidate pipeline leakage collection point at each time point in the past target period.

[0010] Optionally, the step of calculating the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point specifically includes: Obtain the pipeline material in the target pipeline section, query the signal attenuation parameter comparison table of different pipeline materials per unit transportation distance constructed in advance through testing, and obtain the target signal attenuation parameter of the target pipeline section per unit transportation distance; According to the position of each candidate pipeline leakage collection point in the target pipeline section, the transmission distance between every two adjacent candidate pipeline leakage collection points is calculated, and based on the transmission distance, the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points is determined.

[0011] Optionally, according to the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points, and the time of executing each pipeline water leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, the pipeline water leakage acoustic wave detection strategy steps that meet the detection execution period requirements are generated, specifically including: According to the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points and the time of executing each pipeline leakage acoustic wave detection, the first constraint condition is that the product of the standard time of each pipeline leakage acoustic wave detection and the number of pipeline leakage acoustic wave detections is not greater than the detection execution period, the second constraint condition is that the sum of the maximum signal attenuation parameters of all pipeline leakage collection points between the two adjacent pipeline leakage acoustic wave detections is less than the target attenuation parameter, and the goal is to minimize the average value of the historical noise monitoring information corresponding to the time point of each pipeline leakage acoustic wave detection, and optimize the sub-section in the target pipeline section where each pipeline leakage acoustic wave detection is executed; The pipeline leakage collection points at the head and tail of each sub-section are extracted as the target pipeline leakage collection points, and the pipeline leakage acoustic wave detection strategy for the target pipeline leakage acoustic wave detection task is constructed.

[0012] Optionally, the pipeline water leakage acoustic wave detection strategy is sent to the pipeline water leakage detection terminal assigned to the target pipeline water leakage acoustic wave detection task, driving the pipeline water leakage detection personnel to use the pipeline water leakage acoustic wave detection device to perform pipeline water leakage detection actions at several target pipeline water leakage collection points, and generating pipeline water leakage detection result steps, specifically including: Sending a plurality of target pipeline leakage collection points used for executing pipeline leakage acoustic wave detection in the pipeline leakage acoustic wave detection strategy to a pipeline leakage detection terminal assigned to a target pipeline leakage acoustic wave detection task, and visualizing them at the pipeline leakage detection terminal; The pipeline leakage detection personnel are driven to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

[0013] In order to achieve the above object, the present invention also provides a pipeline water leakage detection device, comprising: An acquisition module is used to acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; A determination module is used to extract several candidate pipeline leakage collection points of the target pipeline section based on the pipeline construction layout information of the target pipeline section, and determine the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points by using the position of each candidate pipeline leakage collection point; A calculation module, used to calculate the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point; A generation module is used to generate a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements based on the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points, and the time of executing each pipeline water leakage acoustic wave detection, taking into account the signal attenuation limit and the regional noise limit; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points for executing pipeline water leakage acoustic wave detection in the target pipeline section; The execution module is used to send the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, drive the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points, and generate pipeline leakage detection results.

[0014] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a pipeline leakage detection device, which includes: a memory, a processor, and a pipeline leakage detection program stored in the memory and executable on the processor, and the pipeline leakage detection program implements the steps of the pipeline leakage detection method described above when executed by the processor.

[0015] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a storage medium, on which a pipeline water leakage detection program is stored, and when the pipeline water leakage detection program is executed by a processor, the steps of the above-mentioned pipeline water leakage detection method are implemented.

[0016] The beneficial effects of the present invention are as follows: a pipeline leakage detection method, device, equipment and storage medium are proposed, by obtaining the target pipeline section to be detected and the detection execution period in the target pipeline leakage acoustic wave detection task, the positions of all candidate pipeline leakage collection points of the target pipeline section are extracted by using the pipeline construction layout information, the historical noise monitoring information of the noise impact area of ​​each candidate pipeline leakage collection point and the maximum signal attenuation parameters of two adjacent candidate pipeline leakage collection points are determined, the signal attenuation limit and the regional noise limit are considered, a pipeline leakage acoustic wave detection strategy that meets the requirements of the detection execution period is generated, the pipeline leakage acoustic wave detection strategy is sent to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, the pipeline leakage detection personnel are driven to use the pipeline leakage acoustic wave detection device to perform the pipeline leakage detection action at several target pipeline leakage collection points recorded in the pipeline leakage acoustic wave detection strategy, the final pipeline leakage detection result is obtained, the accuracy of the heating pipeline leakage detection is improved, and the influence of different factors on the selection of pipeline section sampling points during the pipeline leakage detection process is balanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention; Figure 2 A schematic diagram of a pipeline water leakage detection method embodiment of the present invention; Figure 3 The present invention is a structural block diagram of a pipeline water leakage detection device in an embodiment of the present invention.

[0018] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] like Figure 1 As shown, Figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0021] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0022] Those skilled in the art will understand that Figure 1 The structure of the device shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0023] like Figure 1 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a pipeline water leakage detection program.

[0024] exist Figure 1In the terminal shown, the network interface 1004 is mainly used to connect to the backend server and perform data communication with the backend server; the user interface 1003 is mainly used to connect to the client (user end) and perform data communication with the client; and the processor 1001 can be used to call the pipeline leakage detection program stored in the memory 1005 and perform the following operations: Acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; Based on the pipeline construction layout information of the target pipeline section, several candidate pipeline leakage collection points of the target pipeline section are extracted, and the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points is determined by using the position of each candidate pipeline leakage collection point; Using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point, the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points is calculated; According to the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points and the time of executing each pipeline water leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements is generated; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points in the target pipeline section for executing pipeline water leakage acoustic wave detection; The pipeline leakage acoustic wave detection strategy is sent to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, driving the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

[0025] The specific embodiments of the present invention applied to the device are basically the same as the embodiments of the pipeline leakage detection method described below, and will not be described in detail here.

[0026] The present invention provides a pipeline leakage detection method, referring to Figure 2 , Figure 2 The figure is a flow chart of an embodiment of a pipeline water leakage detection method of the present invention.

[0027] In this embodiment, the pipeline water leakage detection method includes the following steps: S100: Acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; S200: extracting several candidate pipeline water leakage collection points of the target pipeline section based on the pipeline construction layout information of the target pipeline section, and determining the historical noise monitoring information of the noise impact area of ​​the several candidate pipeline water leakage collection points by using the position of each candidate pipeline water leakage collection point; S300: Calculating the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point; S400: Based on the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points, and the time of executing each pipeline water leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements is generated; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points in the target pipeline section for executing pipeline water leakage acoustic wave detection; S500: Send the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, drive the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

[0028] It should be noted that with the development and investment of relevant intelligent pipeline leakage detection equipment (such as relevant instruments and other pipeline leakage acoustic wave detection equipment), the above-mentioned problems caused by manual detection can be solved to a certain extent, but there are still some limitations in practical applications: (1) Since the relevant intelligent pipeline leakage detection equipment adopts the indirect measurement method of relevant indicator parameters, it is not a direct pipeline leakage detection, and the accuracy and reliability of its detection results are not high; (2) When using relevant instruments for pipeline leakage detection, since the relevant instruments generate pipeline leakage detection results by collecting vibration sound waves propagating along the pipeline at the leakage point at the sampling point, in actual engineering applications, the detection accuracy is affected by the distance between the sampling point and the leakage point and the environmental noise of the sampling point. In order to improve the monitoring accuracy, it is necessary to reduce the distance between adjacent sampling points as much as possible and avoid possible environmental noise. However, when allocating the leakage detection task of each pipeline section, in order to improve management efficiency and project progress, it is also necessary to consider the task completion time limit. The above two contradictory factors will increase the difficulty of selecting sampling points for pipeline sections.

[0029] In order to solve the above problems, this embodiment obtains the target pipeline section to be detected and the detection execution period in the target pipeline leakage acoustic wave detection task, uses the pipeline construction layout information to extract the positions of all candidate pipeline leakage collection points in the target pipeline section, determines the historical noise monitoring information of the noise impact area of ​​each candidate pipeline leakage collection point and the maximum signal attenuation parameters of the two adjacent candidate pipeline leakage collection points, considers the signal attenuation limit and the regional noise limit, generates a pipeline leakage acoustic wave detection strategy that meets the requirements of the detection execution period, and sends the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, drives the pipeline leakage detection personnel to perform pipeline leakage detection actions using the pipeline leakage acoustic wave detection device at several target pipeline leakage collection points recorded in the pipeline leakage acoustic wave detection strategy, obtains the final pipeline leakage detection result, improves the accuracy of heating pipeline leakage detection, and balances the influence of different factors on the selection of pipeline section sampling points during pipeline leakage detection.

[0030] In a preferred embodiment, the steps of obtaining the target pipeline water leakage acoustic wave detection task specifically include: S110: calling a pipeline water leakage acoustic wave detection task list; wherein the pipeline water leakage acoustic wave detection task list stores a plurality of pipeline water leakage acoustic wave detection tasks sorted by generation time, and each pipeline water leakage acoustic wave detection task includes a pipeline section identifier and a detection execution period; S120: Upon receiving a pipeline leakage acoustic wave detection request transmitted by a pipeline leakage detection personnel through a pipeline leakage detection terminal, extract the pipeline leakage acoustic wave detection task with the earliest generation time in the current pipeline leakage acoustic wave detection task list as the target pipeline leakage acoustic wave detection task, and obtain the target pipeline section and detection execution period of the target pipeline leakage acoustic wave detection task.

[0031] In this embodiment, by calling the pipeline water leakage acoustic wave detection task list, the pipeline section identification and detection execution period of each pipeline water leakage acoustic wave detection task are extracted, the target pipeline water leakage acoustic wave detection task is determined according to the generation time of each pipeline water leakage acoustic wave detection task, and the target pipeline water leakage acoustic wave detection task is assigned to the pipeline water leakage detection terminal corresponding to the pipeline water leakage acoustic wave detection request. Then, when the final pipeline water leakage acoustic wave detection strategy is generated, the pipeline water leakage detection personnel are driven to execute the target pipeline water leakage acoustic wave detection task according to the pipeline water leakage acoustic wave detection strategy.

[0032] In a preferred embodiment, based on the pipeline construction layout information of the target pipeline section, the step of extracting several candidate pipeline leakage collection points of the target pipeline section specifically includes: S210: Accessing a pipeline construction layout database; wherein the pipeline construction layout database stores pipeline construction layout information of a plurality of pipeline sections; S220: Based on the pipeline section identification of the target pipeline water leakage acoustic wave detection task, the pipeline construction layout information of the target pipeline section is matched in the pipeline construction layout database, and a plurality of candidate pipeline water leakage collection points recorded in the pipeline construction layout information are extracted.

[0033] On this basis, the steps of determining the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points by using the location of each candidate pipeline leakage collection point include: S230: Acquire historical noise monitoring data collected by a plurality of noise detection devices arranged around the target pipeline section; wherein the historical noise monitoring information includes noise monitoring data collected by each noise detection device at each time point in the past target period; S240: Calculate the influence distance between the first position of each candidate pipeline water leakage collection point and the second position of each noise detection device, and use the noise detection device with an influence distance smaller than the target distance as the associated noise detection device corresponding to the candidate pipeline water leakage collection point; S250: taking the average value of the noise monitoring data collected by several associated noise detection devices of each candidate pipeline leakage collection point at each time point in the past target period as the historical noise monitoring information collected by the candidate pipeline leakage collection point at each time point in the past target period.

[0034] In this embodiment, firstly, the pipeline construction layout information of the target pipeline section is obtained to extract the location information of several candidate pipeline leakage collection points of the target pipeline section (usually pipeline valves that can be used to connect the relevant instrument collection head, pipeline leakage end points, reserved inspection ports and other components) and then, based on the location information, the historical noise monitoring data collected by several noise detection devices configured around the target pipeline section are used to calculate and determine the historical noise monitoring information collected by each candidate pipeline leakage collection point at each time point in the past target period, so as to provide data support for the subsequent generation of pipeline leakage acoustic wave detection strategies that ensure detection accuracy and efficiency.

[0035] In a preferred embodiment, the step of calculating the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point specifically includes: S310: Obtain the pipeline material in the target pipeline section, query the signal attenuation parameter comparison table of different pipeline materials per unit transportation distance constructed in advance through testing, and obtain the target signal attenuation parameter of the target pipeline section per unit transportation distance; S320: Calculate the transmission distance between every two adjacent candidate pipeline leakage collection points according to the position of each candidate pipeline leakage collection point in the target pipeline section, and determine the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points based on the transmission distance.

[0036] In this embodiment, the target signal attenuation parameter of the target pipeline section at unit transportation distance is obtained by querying the signal attenuation parameter comparison table of different pipeline materials constructed in advance, and then the maximum signal attenuation parameter of each two adjacent candidate pipeline leakage collection points is obtained based on the transportation distance and target signal attenuation parameter of the two adjacent candidate pipeline leakage collection points.

[0037] In a preferred embodiment, according to the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points, and the time of executing each pipeline leakage acoustic wave detection, the signal attenuation limit and the regional noise limit are considered to generate a pipeline leakage acoustic wave detection strategy step that meets the detection execution period requirements, specifically including: S410: Based on the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points and the time of executing each pipeline water leakage acoustic wave detection, the product of the standard time of each pipeline water leakage acoustic wave detection and the number of pipeline water leakage acoustic wave detections is not greater than the detection execution period as the first constraint condition, the sum of the maximum signal attenuation parameters of all pipeline leakage collection points between two adjacent pipeline water leakage acoustic wave detections is less than the target attenuation parameter as the second constraint condition, and the average value of the historical noise monitoring information corresponding to the time point of each pipeline water leakage acoustic wave detection is minimized as the goal, and the sub-section in the target pipeline section where each pipeline water leakage acoustic wave detection is executed is optimized; S420: extracting pipeline water leakage collection points at the head and tail positions of each subsection as target pipeline water leakage collection points, and constructing a pipeline water leakage acoustic wave detection strategy for the target pipeline water leakage acoustic wave detection task.

[0038] Furthermore, the pipeline leakage acoustic wave detection strategy is sent to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, driving the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points, and generating pipeline leakage detection result steps, specifically including: S510: sending a plurality of target pipeline leakage collection points used for executing pipeline leakage acoustic wave detection in the pipeline leakage acoustic wave detection strategy to a pipeline leakage detection terminal assigned to a target pipeline leakage acoustic wave detection task, and performing visualization at the pipeline leakage detection terminal; S520: driving pipeline water leakage detection personnel to use pipeline water leakage acoustic wave detection devices to perform pipeline water leakage detection actions at a plurality of target pipeline water leakage collection points to generate pipeline water leakage detection results.

[0039] In this embodiment, after obtaining the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points, and the time for executing each pipeline leakage acoustic wave detection, the signal attenuation limit and the regional noise limit are considered, and the signal attenuation parameter of the sub-section for each execution of each pipeline leakage acoustic wave detection and the overall detection execution time are used as constraints, and the historical noise monitoring information of the overall execution detection is minimized as the goal, to generate a pipeline leakage acoustic wave detection strategy that meets the requirements of the detection execution period, and send the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, so that the pipeline leakage detection personnel are driven to perform the pipeline leakage detection action using the pipeline leakage acoustic wave detection device at several target pipeline leakage collection points recorded in the pipeline leakage acoustic wave detection strategy, to obtain the final pipeline leakage detection result, to improve the accuracy of the heating pipeline leakage detection, and to balance the influence of different factors on the selection of pipeline section sampling points during the pipeline leakage detection process.

[0040] Reference Figure 3 , Figure 3 It is a structural block diagram of an embodiment of a pipeline water leakage detection device of the present invention.

[0041] like Figure 3 As shown, the pipeline water leakage detection device proposed in the embodiment of the present invention includes: The acquisition module 10 is used to acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; The determination module 20 is used to extract several candidate pipeline water leakage collection points of the target pipeline section based on the pipeline construction layout information of the target pipeline section, and determine the historical noise monitoring information of the noise impact area of ​​the several candidate pipeline water leakage collection points by using the position of each candidate pipeline water leakage collection point; The calculation module 30 is used to calculate the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point; A generation module 40 is used to generate a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements based on the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points, and the time of performing each pipeline water leakage acoustic wave detection, taking into account the signal attenuation limit and the regional noise limit; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points for performing pipeline water leakage acoustic wave detection in the target pipeline section; The execution module 50 is used to send the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, drive the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points, and generate pipeline leakage detection results.

[0042] Other embodiments or specific implementations of the pipeline water leakage detection device of the present invention can refer to the above-mentioned method embodiments, which will not be described in detail here.

[0043] In addition, the present invention also proposes a pipeline leakage detection device, which includes: a memory, a processor, and a pipeline leakage detection program stored in the memory and executable on the processor. When the pipeline leakage detection program is executed by the processor, the steps of the pipeline leakage detection method described above are implemented.

[0044] The specific implementation of the pipeline water leakage detection device of the present application is basically the same as the various embodiments of the above-mentioned pipeline water leakage detection method, and will not be repeated here.

[0045] In addition, the present invention also proposes a readable storage medium, which includes a computer-readable storage medium on which a pipeline water leakage detection program is stored. The readable storage medium may be Figure 1 The memory 1005 in the terminal may also be at least one of a ROM (Read-Only Memory) / RAM (Random Access Memory), a magnetic disk, and an optical disk. The readable storage medium includes a number of instructions for enabling a pipeline water leakage detection device having a processor to execute the pipeline water leakage detection method described in each embodiment of the present invention.

[0046] The specific implementation methods in the readable storage medium of the present application are basically the same as the various embodiments of the above-mentioned pipeline water leakage detection method, and will not be repeated here.

[0047] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0048] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0049] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0050] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0051] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A pipeline leakage detection method, characterized in that: The following steps are involved: Acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; Based on the pipeline construction layout information of the target pipeline section, several candidate pipeline leakage collection points of the target pipeline section are extracted, and the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points is determined by using the position of each candidate pipeline leakage collection point; Using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point, calculate the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points; According to the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points and the time of executing each pipeline water leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements is generated; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points in the target pipeline section for executing pipeline water leakage acoustic wave detection; The pipeline leakage acoustic wave detection strategy is sent to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, driving the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

2. The pipeline leakage detection method according to claim 1, characterized in that: The steps for obtaining the target pipeline water leakage acoustic wave detection task include: Calling a pipeline water leakage acoustic wave detection task list; wherein the pipeline water leakage acoustic wave detection task list stores a plurality of pipeline water leakage acoustic wave detection tasks sorted by generation time, and each pipeline water leakage acoustic wave detection task includes a pipeline section identifier and a detection execution period; When a pipeline leakage acoustic wave detection request is received from a pipeline leakage detection personnel through a pipeline leakage detection terminal, the pipeline leakage acoustic wave detection task with the earliest generation time in the current pipeline leakage acoustic wave detection task list is extracted as the target pipeline leakage acoustic wave detection task, and the target pipeline section and detection execution period of the target pipeline leakage acoustic wave detection task are obtained.

3. The pipeline leakage detection method according to claim 2, characterized in that: Based on the pipeline construction layout information of the target pipeline section, the steps of extracting several candidate pipeline leakage collection points of the target pipeline section specifically include: Accessing a pipeline construction layout database; wherein the pipeline construction layout database stores pipeline construction layout information of a plurality of pipeline sections; Based on the pipeline section identification of the target pipeline water leakage acoustic wave detection task, the pipeline construction layout information of the target pipeline section is matched in the pipeline construction layout database, and several candidate pipeline water leakage collection points recorded in the pipeline construction layout information are extracted.

4. The pipeline leakage detection method according to claim 1, characterized in that: The steps of determining the historical noise monitoring information of the noise impact areas of several candidate pipeline leakage collection points by using the location of each candidate pipeline leakage collection point specifically include: Acquire historical noise monitoring data collected by a plurality of noise detection devices arranged around the target pipeline section; wherein the historical noise monitoring information includes noise monitoring data collected by each noise detection device at each time point in the past target period; Calculate the influence distance between the first position of each candidate pipeline water leakage collection point and the second position of each noise detection device, and use the noise detection device with an influence distance smaller than the target distance as the associated noise detection device corresponding to the candidate pipeline water leakage collection point; The average value of the noise monitoring data collected by several associated noise detection devices of each candidate pipeline leakage collection point at each time point in the past target period is used as the historical noise monitoring information collected by the candidate pipeline leakage collection point at each time point in the past target period.

5. The pipeline leakage detection method according to claim 1, characterized in that: The steps of calculating the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point specifically include: Obtain the pipeline material in the target pipeline section, query the signal attenuation parameter comparison table of different pipeline materials per unit transportation distance constructed in advance through testing, and obtain the target signal attenuation parameter of the target pipeline section per unit transportation distance; According to the position of each candidate pipeline leakage collection point in the target pipeline section, the transmission distance between every two adjacent candidate pipeline leakage collection points is calculated, and based on the transmission distance, the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points is determined.

6. The pipeline leakage detection method according to claim 5, characterized in that: According to the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points and the time of executing each pipeline leakage acoustic wave detection, considering the signal attenuation limit and the regional noise limit, the pipeline leakage acoustic wave detection strategy steps that meet the detection execution period requirements are generated, specifically including: According to the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points and the time of executing each pipeline leakage acoustic wave detection, the first constraint condition is that the product of the standard time of each pipeline leakage acoustic wave detection and the number of pipeline leakage acoustic wave detections is not greater than the detection execution period, the second constraint condition is that the sum of the maximum signal attenuation parameters of all pipeline leakage collection points between the two adjacent pipeline leakage acoustic wave detections is less than the target attenuation parameter, and the goal is to minimize the average value of the historical noise monitoring information corresponding to the time point of each pipeline leakage acoustic wave detection, and optimize the sub-section in the target pipeline section where each pipeline leakage acoustic wave detection is executed; The pipeline leakage collection points at the head and tail of each sub-section are extracted as the target pipeline leakage collection points, and the pipeline leakage acoustic wave detection strategy for the target pipeline leakage acoustic wave detection task is constructed.

7. The pipeline leakage detection method according to claim 6, characterized in that: The pipeline water leakage acoustic wave detection strategy is sent to the pipeline water leakage detection terminal assigned to the target pipeline water leakage acoustic wave detection task, driving the pipeline water leakage detection personnel to use the pipeline water leakage acoustic wave detection device to perform pipeline water leakage detection actions at several target pipeline water leakage collection points, and generating pipeline water leakage detection results, specifically including: Sending a plurality of target pipeline leakage collection points used for executing pipeline leakage acoustic wave detection in the pipeline leakage acoustic wave detection strategy to a pipeline leakage detection terminal assigned to a target pipeline leakage acoustic wave detection task, and visualizing them at the pipeline leakage detection terminal; The pipeline leakage detection personnel are driven to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points to generate pipeline leakage detection results.

8. A pipeline leakage detection device, characterized in that: include: An acquisition module is used to acquire a target pipeline water leakage acoustic wave detection task; wherein the target pipeline water leakage acoustic wave detection task includes a target pipeline section to be detected and a detection execution period; A determination module is used to extract several candidate pipeline leakage collection points of the target pipeline section based on the pipeline construction layout information of the target pipeline section, and determine the historical noise monitoring information of the noise impact area of ​​several candidate pipeline leakage collection points by using the position of each candidate pipeline leakage collection point; A calculation module, used to calculate the maximum signal attenuation parameter of every two adjacent candidate pipeline leakage collection points by using the pipeline material of the target pipeline section and the position of each candidate pipeline leakage collection point; A generation module is used to generate a pipeline water leakage acoustic wave detection strategy that meets the detection execution period requirements based on the maximum signal attenuation parameter of every two adjacent candidate pipeline water leakage collection points, the historical noise monitoring information of the noise impact area of ​​several candidate pipeline water leakage collection points, and the time of executing each pipeline water leakage acoustic wave detection, taking into account the signal attenuation limit and the regional noise limit; wherein the pipeline water leakage acoustic wave detection strategy includes several target pipeline water leakage collection points for executing pipeline water leakage acoustic wave detection in the target pipeline section; The execution module is used to send the pipeline leakage acoustic wave detection strategy to the pipeline leakage detection terminal assigned to the target pipeline leakage acoustic wave detection task, drive the pipeline leakage detection personnel to use the pipeline leakage acoustic wave detection device to perform pipeline leakage detection actions at several target pipeline leakage collection points, and generate pipeline leakage detection results.

9. A pipeline leakage detection device, characterized in that: The pipeline water leakage detection device comprises: a memory, a processor, and a pipeline water leakage detection program stored in the memory and executable on the processor. When the pipeline water leakage detection program is executed by the processor, the steps of the pipeline water leakage detection method according to any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a pipeline water leakage detection program, and when the pipeline water leakage detection program is executed by the processor, the steps of the pipeline water leakage detection method according to any one of claims 1 to 7 are implemented.

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