Power transmission line fault method, device, equipment, storage medium and program product

Abstract

The invention relates to a power transmission line fault detection method and device, equipment, a storage medium and a program product. The method comprises the following steps: collecting monitoring data of each node of a power transmission line in a first area through a preset distributed fault positioning device; under the condition that the authorization requirement is met, the monitoring data are transmitted to a master station in a second area through a network; the monitoring data is stored, analyzed and processed through the main station, a fault analysis report is generated, and the fault analysis report comprises fault positioning information and fault type information; and the fault positioning information and the fault type information are fed back to the operation and maintenance terminal in the first area through a network, and / or a fault analysis report is transmitted to the data center in the third area. Therefore, cross-regional data monitoring and processing can be realized, the fault position and the fault type of the power transmission line can be determined in time, so that dispatching operation and maintenance personnel can carry out first-aid repair conveniently, and the operation reliability and stability of a power grid are improved.

Description

Technical Field

[0001] This application relates to the field of power electronics technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for locating faults in power transmission lines. Background Technology

[0002] Power transmission lines are the arteries of power transmission. They are widely distributed and have long transmission distances. They may pass through various natural environments such as mountains, lakes, and heavy industrial areas. In areas with dense vegetation, tall trees can seriously affect the safe operation of the lines, which may cause tripping faults or even line breaks.

[0003] Traditional fault investigation relies primarily on manual inspections, which is not only costly in terms of manpower and resources but also cannot guarantee power supply reliability. This is especially true when locating faults in transmission lines that cross regions or countries, where the transmission of fault data is crucial. Therefore, there is an urgent need for a method that can monitor transmission line faults in a timely manner and improve the reliability and stability of the power grid. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, device, computer equipment, computer-readable storage medium, and computer program product for locating transmission line faults that can monitor transmission line faults in a timely manner and improve the reliability and stability of power grid operation, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a method for locating faults in transmission lines, the method comprising:

[0006] Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device.

[0007] Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second region;

[0008] The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes: fault location information and fault type information.

[0009] The fault location information and the fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

[0010] In one embodiment, the distributed fault location device includes: a plurality of acquisition sensors and a location sensor;

[0011] The data acquisition sensor includes at least one of a temperature sensor, a humidity sensor, a voltage detector, and a current detector;

[0012] The positioning sensors are installed at both ends of the power transmission line to acquire the traveling wave signal of the power transmission line. The traveling wave signal is used to determine the distance of the fault point from the positioning sensor.

[0013] In one embodiment, the monitoring data includes at least one of the following: temperature, humidity, voltage, current, and current direction at the node;

[0014] The process of storing and analyzing the monitoring data through the main station and generating a fault analysis report includes:

[0015] The monitoring data is input into the fault analysis model of the main station, and the classification labels corresponding to each node are output. The classification labels include: normal, abnormal, and fault type.

[0016] If the classification label corresponding to the node is abnormal, store the monitoring data of the abnormal node and the corresponding fault type.

[0017] A fault analysis report is generated based on the monitoring data of the abnormal nodes and the corresponding fault types.

[0018] In one embodiment, before feeding back the fault location information and the fault type information to the maintenance terminal in the first area via the network, the method further includes:

[0019] Determine whether the first region and the second region are the same country;

[0020] If they do not belong to the same country, the fault location information and the fault type information are filtered; the filtering process includes: deleting personal information and / or important data indicated in the blacklist.

[0021] In one embodiment, the method further includes:

[0022] Acquire at least one of meteorological data, remote sensing data, and video data at each node location of the transmission line within the first area, and combine this data with the monitoring data of each node of the transmission line to determine the risk level; the risk level includes: low risk, medium risk, and high risk.

[0023] The fault analysis report indicates the risk level and the corresponding operation and maintenance strategy.

[0024] In one embodiment, after feeding back the fault location information and the fault type information to the maintenance terminal in the first area via the network, the method further includes:

[0025] The monitoring data of abnormal nodes are verified multiple times according to a preset cycle to determine whether the fault has been resolved.

[0026] If the fault is not resolved, a maintenance prompt message is sent to the maintenance terminal.

[0027] Secondly, this application also provides a transmission line fault location device, the device comprising:

[0028] The data acquisition module is used to collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0029] The transmission module is used to transmit the monitoring data to the main station in the second area via the network, provided that the authorization requirements are met.

[0030] The fault analysis module is used to store and analyze the monitoring data through the main station and generate a fault analysis report, which includes: fault location information and fault type information.

[0031] The feedback module is used to feed back the fault location information and the fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0032] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0033] Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device.

[0034] Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second region;

[0035] The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes: fault location information and fault type information.

[0036] The fault location information and the fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

[0037] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0038] Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device.

[0039] Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second region;

[0040] The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes: fault location information and fault type information.

[0041] The fault location information and the fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

[0042] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0043] Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device.

[0044] Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second region;

[0045] The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes: fault location information and fault type information.

[0046] The fault location information and the fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

[0047] The aforementioned transmission line fault location method, device, computer equipment, computer-readable storage medium, and computer program product, through a pre-set distributed fault location device, collect monitoring data from various nodes of the transmission line within a first region. This allows for real-time monitoring of multiple nodes of the transmission line, enabling timely acquisition of the operational status of each segment. Under authorized conditions, the monitoring data is transmitted via network to a master station in a second region. The master station in the second region can then analyze and process the transmission line monitoring data from the first region. The master station stores and analyzes the monitoring data, generating a fault analysis report. This report includes fault location information and fault type information, allowing for a comprehensive analysis of the monitoring data to determine the specific location and type of the fault. The fault location information and fault type information are then fed back to the maintenance terminal in the first region via network, and / or the fault analysis report is transmitted to a data center in a third region. This enables cross-regional data monitoring and processing, timely determination of the fault location and type of the transmission line, facilitating the dispatch of maintenance personnel for emergency repairs, and improving the reliability and stability of the power grid. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is an application environment diagram of a transmission line fault location method in one embodiment;

[0050] Figure 2 This is a flowchart illustrating a method for locating faults in a transmission line in one embodiment;

[0051] Figure 3 This is a flowchart illustrating a transmission line fault location method in another embodiment;

[0052] Figure 4 This is a flowchart illustrating the transmission line fault location method in yet another embodiment;

[0053] Figure 5 This is a flowchart illustrating the transmission line fault location method in the fourth embodiment;

[0054] Figure 6 This is a structural block diagram of a power transmission line fault location device in one embodiment;

[0055] Figure 7 This is a structural block diagram of a transmission line fault location device in another embodiment;

[0056] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0058] It should be noted that the terms "first," "second," etc., used in this application may be used to describe different regions, but these regions are not limited by these terms. These terms are only used to distinguish the first region from the second region. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0059] The transmission line fault location method provided in this application embodiment can be applied to, for example, Figure 1 The application environment is shown. The transmission line fault location method can be roughly divided into four stages: data acquisition and storage, data transmission, data processing, and data application. In the data acquisition and storage stage, monitoring data from various nodes on the transmission line in the first region is mainly collected. Optionally, fault monitoring devices pre-deployed on the transmission line can collect monitoring data from each node in real time, and then transmit it to the main station of the transmission and transformation fault location analysis system in the second region via the Internet of Things (IoT). The main station of the transmission and transformation fault location analysis system processes the received monitoring data to obtain the fault location and analysis report. Further, the main station of the transmission and transformation fault location analysis system sends the fault location to the operation and maintenance terminal in the first region via the network, and / or sends the analysis report to the data center in the third region. The first and second regions are different geographical areas, such as different provinces or cities. Optionally, the first and second regions can also be different countries. For example, when the first and second regions are different countries, monitoring data can be transmitted to the main station of the transmission and transformation fault location analysis system in the second region via the Internet or cross-border submarine cables using an IoT card.

[0060] In one exemplary embodiment, such as Figure 2 As shown, a method for locating faults in transmission lines is provided, which can be applied to... Figure 1 In the application scenario shown, the method in this embodiment may include steps 201 to 204. Wherein:

[0061] Step 201: Collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0062] In this embodiment, the distributed fault location device includes multiple acquisition sensors and a location sensor. The acquisition sensors include at least one of a temperature sensor, a humidity sensor, a voltage detector, and a current detector. The location sensor is installed at both ends of the transmission line to acquire traveling wave signals from the transmission line; these traveling wave signals are used to determine the distance of the fault point from the location sensor.

[0063] It should be understood that this embodiment does not limit the specific type of data acquisition sensor or the number of sensors deployed. The data acquisition sensor can be integrated with the positioning sensor or deployed separately.

[0064] Optionally, for long-distance transmission lines, the lines can be segmented according to distance, and at least one distributed fault location device can be installed at the end of each segment. Each segment can then select multiple nodes to collect monitoring data at each node location.

[0065] For example, the location of the nodes can be random or uniformly distributed.

[0066] For example, the monitoring data includes at least one of the following: temperature, humidity, voltage, current, and current direction at the node.

[0067] Step 202: If the authorization requirements are met, the monitoring data is transmitted to the main station in the second area via the network.

[0068] In this embodiment, the first region and the second region can belong to the same country. When cross-border power transmission is involved, the first region and the second region can also be different countries.

[0069] Optionally, when the first and second regions belong to different countries, the transmission of monitoring data requires authorization. For example, when monitoring data collected from the first region is transmitted over the network to the second region, authorization from the power grid company or electricity department in the first region is required. Only if the authorization requirements are met can the monitoring data be transmitted over the network to the main station in the second region.

[0070] For example, a terminal equipped with an IoT card can be set up in the first area to aggregate the monitoring data collected on the transmission line, and then transmit it to the main station in the second area via the Internet and cross-border submarine cable. The area where the cross-border submarine cable is laid can be a transitional area, which may belong to the second area or be another area adjacent to the second area.

[0071] Step 203: The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes fault location information and fault type information.

[0072] In this embodiment, the master station can be a power transmission and transformation fault location and analysis system. This system first processes the received monitoring data to obtain standard data in a preset format or form. For example, keywords from the monitoring data are extracted in the form of long strings or fields and combined into data in a unified format.

[0073] Optionally, a fault analysis model can be pre-loaded into the main station. This model can be a classifier model or a deep learning model. By inputting the processed detection data into the fault analysis model of the main station, the model outputs the classification labels corresponding to each node. The classification labels include: normal, abnormal, and fault type. For example: [Node 1, normal], [Node 2, abnormal, overheating], etc.

[0074] Furthermore, when the classification label corresponding to a node is abnormal, the monitoring data of the abnormal node and the corresponding fault type are stored; a fault analysis report is generated based on the monitoring data of the abnormal node and the corresponding fault type.

[0075] It should be understood that the fault analysis report can list the fault types of each abnormal node in the form of charts. The report can include monitoring data for each different node at different times. For ease of review, abnormal monitoring data can be highlighted (e.g., with different colors, different fonts, etc.).

[0076] Step 204: Feed back the fault location information and fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0077] In this embodiment, the master station can transmit fault location information and fault type information to the maintenance terminal in the first area via the original transmission path, or transmit the fault analysis report to the data center in the third area.

[0078] The third region and the second region are different administrative regions. The data center in the third region can aggregate fault analysis reports transmitted from multiple master stations and comprehensively manage the operation status of the power transmission lines in the first region.

[0079] The method in this embodiment can allocate storage and computing resources in the second and / or third regions to perform full-line monitoring and management of transmission lines located in the first region. This eliminates the need to invest in large data centers and / or master stations in the first region, reducing operating and maintenance costs. Furthermore, even when the first and second regions are located in different countries, powerful cross-border and domestic clouds can be leveraged to manage and store massive amounts of monitoring data, improving the power system operation and maintenance capabilities and data management capabilities of less developed regions.

[0080] In the aforementioned transmission line fault location method, a pre-set distributed fault location device collects monitoring data from various nodes of the transmission line within a first region. This allows for real-time monitoring of multiple nodes of the transmission line, enabling timely acquisition of the operational status of each segment. Under authorized conditions, the monitoring data is transmitted via network to a master station in a second region. The master station in the second region then analyzes and processes the monitoring data from the first region. The master station stores and analyzes the monitoring data, generating a fault analysis report. This report includes fault location information and fault type information, allowing for a comprehensive analysis of the monitoring data to determine the specific location and type of the fault. The fault location information and fault type information are then fed back to the maintenance terminal in the first region via network, and / or the fault analysis report is transmitted to a data center in a third region. This enables cross-regional data monitoring and processing, timely determination of the fault location and type of the transmission line, facilitating the dispatch of maintenance personnel for emergency repairs, and improving the reliability and stability of the power grid.

[0081] In another exemplary embodiment, such as Figure 3 As shown, a method for locating faults in transmission lines is provided, which can be applied to... Figure 1 In the application scenario shown, the method in this embodiment may include steps 301 to 306. Wherein:

[0082] Step 301: Collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0083] Step 302: If the authorization requirements are met, the monitoring data is transmitted to the main station in the second area via the network.

[0084] Step 303: The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes fault location information and fault type information.

[0085] For the specific implementation process and technical effects of steps 301 to 303 in this embodiment, please refer to [link to documentation]. Figure 2 The relevant descriptions of steps 201 to 203 in the method embodiment shown will not be repeated here.

[0086] Step 304: Determine whether the first region and the second region are the same country. If yes, proceed to step 306; otherwise, proceed to step 305.

[0087] Step 305: Filter the fault location information and fault type information.

[0088] The filtering process includes deleting personal information and / or important data indicated in blacklists.

[0089] In this embodiment, the blacklist is a data directory pre-set by the power grid company or power department in the second region. All data marked as blacklisted cannot be transferred across borders to the second region.

[0090] Step 306: Feed back the filtered fault location information and fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0091] In this embodiment, before feeding back fault location information and fault type information to the maintenance terminal in the first region via the network, it is determined whether the first region and the second region are the same country. If they are not the same country, the fault location information and fault type information are filtered. The filtering process includes deleting personal information and / or important data indicated in the blacklist. This can meet the security supervision requirements for cross-border data transmission and filter out sensitive personal information and / or important data that is prohibited from being leaked.

[0092] In yet another exemplary embodiment, such as Figure 4 As shown, a method for locating faults in transmission lines is provided, which can be applied to... Figure 1 In the application scenario shown, the method in this embodiment may include steps 401 to 406. Wherein:

[0093] Step 401: Collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0094] Step 402: If the authorization requirements are met, the monitoring data is transmitted to the main station in the second area via the network.

[0095] Step 403: The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes fault location information and fault type information.

[0096] For the specific implementation process and technical effects of steps 401 to 403 in this embodiment, please refer to [link to documentation]. Figure 2 The relevant descriptions of steps 201 to 203 in the method embodiment shown will not be repeated here.

[0097] Step 404: Obtain at least one of meteorological data, remote sensing data, and video data at each node location of the transmission line in the first area, and combine them with the monitoring data of each node of the transmission line to determine the risk level.

[0098] The risk levels are categorized as low risk, medium risk, and high risk.

[0099] Step 405: The fault analysis report will indicate the risk level and the corresponding operation and maintenance strategy.

[0100] In this embodiment, the risk level can be determined by combining at least one of the following: meteorological data, remote sensing data, and video data of each node location of the transmission line within the first area, as well as monitoring data of each node of the transmission line. The risk levels include: low risk, medium risk, and high risk. The risk level and corresponding operation and maintenance strategy are indicated in the fault analysis report. This allows for an intuitive prediction of the risk level of the transmission line.

[0101] For example, risk level warnings can be issued to the operation and maintenance terminal in advance before typhoons or lightning disasters occur, so that operation and maintenance personnel can be dispatched in a timely manner to repair faulty transmission lines.

[0102] Step 406: Feed back the fault location information and fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0103] For the specific implementation process and technical effects of step 406 in this embodiment, please refer to [link to relevant documentation]. Figure 2 The relevant description of step 204 in the method embodiment shown will not be repeated here.

[0104] In the fourth exemplary embodiment, such as Figure 5 As shown, a method for locating faults in transmission lines is provided, which can be applied to... Figure 1 In the application scenario shown, the method in this embodiment may include steps 501 to 506. Wherein:

[0105] Step 501: Collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0106] Step 502: If the authorization requirements are met, the monitoring data is transmitted to the main station in the second area via the network.

[0107] Step 503: The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes fault location information and fault type information.

[0108] Step 504: Feed back the fault location information and fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0109] For the specific implementation process and technical effects of steps 501 to 504 in this embodiment, please refer to [link to documentation]. Figure 2The relevant descriptions of steps 201 to 204 in the method embodiment shown will not be repeated here.

[0110] Step 505: Perform multiple verifications on the monitoring data of the abnormal nodes according to the preset cycle to determine whether the fault has been resolved.

[0111] Step 506: If the fault is not resolved, send a maintenance prompt message to the maintenance terminal.

[0112] In this embodiment, the monitoring data of abnormal nodes is verified multiple times according to a preset cycle to determine whether the fault has been resolved. If the fault has not been resolved, a maintenance prompt message is sent to the operation and maintenance terminal. This allows for further monitoring of the maintenance status at the fault location and determines whether the fault of the abnormal node has been promptly investigated. If abnormal monitoring data is still detected after multiple verifications, a maintenance prompt message will be sent to the operation and maintenance terminal to avoid overlooking faulty nodes and ensure the stable operation of the entire transmission line.

[0113] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0114] Based on the same inventive concept, this application also provides a transmission line fault location device for implementing the transmission line fault location method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the transmission line fault location device provided below can be found in the limitations of the transmission line fault location method described above, and will not be repeated here.

[0115] In one exemplary embodiment, such as Figure 6 As shown, a power transmission line fault location device is provided, comprising: a data acquisition module 601, a transmission module 602, a fault analysis module 603, and a feedback module 604, wherein:

[0116] The acquisition module 601 is used to acquire monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device.

[0117] The transmission module 602 is used to transmit monitoring data to the main station in the second area via a network, provided that the authorization requirements are met.

[0118] The fault analysis module 603 is used to store and analyze monitoring data through the main station and generate a fault analysis report, which includes fault location information and fault type information.

[0119] Feedback module 604 is used to feed back fault location information and fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

[0120] For example, a distributed fault location device includes: multiple acquisition sensors and a location sensor; the acquisition sensors include at least one of a temperature sensor, a humidity sensor, a voltage detector, and a current detector; the location sensor is installed at both ends of the transmission line to acquire traveling wave signals of the transmission line, and the traveling wave signals are used to determine the distance of the fault point from the location sensor.

[0121] For example, the monitoring data includes at least one of the following: temperature, humidity, voltage, current, and current direction at the node.

[0122] For example, the fault analysis module 603 is specifically used to: input monitoring data into the fault analysis model of the main station, output the classification labels corresponding to each node, including: normal, abnormal, and fault type; when the classification label corresponding to a node is abnormal, store the monitoring data of the abnormal node and the corresponding fault type; and generate a fault analysis report based on the monitoring data of the abnormal node and the corresponding fault type.

[0123] In another exemplary embodiment, such as Figure 7 As shown, a fault location device for transmission lines is provided. Figure 6 The device shown may also include:

[0124] The filtering module 605 is used to determine whether the first region and the second region are the same country; if they are not the same country, the fault location information and fault type information are filtered; the filtering process includes: deleting personal information and / or important data indicated in the blacklist.

[0125] The risk alert module 606 is used to acquire at least one of meteorological data, remote sensing data, and video data of each node location of the transmission line in the first area, and combine it with the monitoring data of each node of the transmission line to determine the risk level; the risk level includes: low risk, medium risk, and high risk; the risk level and corresponding operation and maintenance strategy are indicated in the fault analysis report.

[0126] The verification module 607 is used to perform multiple verifications on the monitoring data of abnormal nodes according to a preset cycle to determine whether the fault has been resolved; if the fault has not been resolved, a maintenance prompt message is sent to the operation and maintenance terminal.

[0127] Each module in the aforementioned transmission line fault location device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0128] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for locating faults in power transmission lines. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0129] Those skilled in the art will understand that Figure 8The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0130] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0131] Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device.

[0132] Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second area;

[0133] The main station stores and analyzes the monitoring data and generates a fault analysis report, which includes fault location information and fault type information.

[0134] The fault location information and fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

[0135] In one embodiment, the distributed fault location device includes: a plurality of acquisition sensors and a location sensor; the acquisition sensors include at least one of a temperature sensor, a humidity sensor, a voltage detector, and a current detector; the location sensor is installed at both ends of the transmission line to acquire the traveling wave signal of the transmission line, and the traveling wave signal is used to determine the distance of the fault point from the location sensor.

[0136] In one embodiment, the monitoring data includes at least one of the following: temperature, humidity, voltage, current, and current direction at the node; the processor, when executing the computer program, also performs the following steps:

[0137] The monitoring data is input into the fault analysis model of the main station, and the corresponding classification labels for each node are output. The classification labels include: normal, abnormal, and fault type. When the classification label of a node is abnormal, the monitoring data of the abnormal node and the corresponding fault type are stored. A fault analysis report is generated based on the monitoring data of the abnormal node and the corresponding fault type.

[0138] In one embodiment, before feeding back fault location information and fault type information to the maintenance terminal in the first area via the network, the processor executes the following steps when running the computer program:

[0139] Determine whether the first region and the second region are the same country; if they are not the same country, filter the fault location information and fault type information; the filtering process includes: deleting personal information and / or important data indicated in the blacklist.

[0140] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0141] Acquire at least one of the following: meteorological data, remote sensing data, and video data at each node location of the transmission line in the first area. Combine this with the monitoring data of each node of the transmission line to determine the risk level. The risk levels include: low risk, medium risk, and high risk. The fault analysis report will indicate the risk level and the corresponding operation and maintenance strategy.

[0142] In one embodiment, after the fault location information and fault type information are fed back to the maintenance terminal in the first area via the network, the processor, when executing the computer program, also performs the following steps:

[0143] The monitoring data of abnormal nodes are verified multiple times according to a preset cycle to determine whether the fault has been resolved; if the fault has not been resolved, a maintenance prompt message is sent to the operation and maintenance terminal.

[0144] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method steps of the various embodiments described above.

[0145] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the method steps of the various embodiments described above.

[0146] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0147] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0148] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0149] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for locating faults in transmission lines, characterized in that, The method includes: Monitoring data of each node of the transmission line in the first area is collected through a pre-set distributed fault location device. Subject to authorization requirements, the monitoring data will be transmitted via network to the main station in the second region; The monitoring data is stored and analyzed by the main station, and a fault analysis report is generated. The fault analysis report includes: fault location information and fault type information. The fault location information and the fault type information are fed back to the operation and maintenance terminal in the first area via the network, and / or the fault analysis report is transmitted to the data center in the third area.

2. The method according to claim 1, characterized in that, The distributed fault location device includes: multiple acquisition sensors and a location sensor; The data acquisition sensor includes at least one of a temperature sensor, a humidity sensor, a voltage detector, and a current detector; The positioning sensors are installed at both ends of the power transmission line to acquire the traveling wave signal of the power transmission line. The traveling wave signal is used to determine the distance of the fault point from the positioning sensor.

3. The method according to claim 1, characterized in that, The monitoring data includes at least one of the following at the node: temperature, humidity, voltage, current, and current direction; The process of storing and analyzing the monitoring data through the main station and generating a fault analysis report includes: The monitoring data is input into the fault analysis model of the main station, and the classification labels corresponding to each node are output. The classification labels include: normal, abnormal, and fault type. If the classification label corresponding to the node is abnormal, store the monitoring data of the abnormal node and the corresponding fault type. A fault analysis report is generated based on the monitoring data of the abnormal nodes and the corresponding fault types.

4. The method according to claim 1, characterized in that, Before transmitting the fault location information and the fault type information to the maintenance terminals in the first area via the network, the method further includes: Determine whether the first region and the second region are the same country; If they do not belong to the same country, the fault location information and the fault type information are filtered; the filtering process includes: deleting personal information and / or important data indicated in the blacklist.

5. The method according to any one of claims 1 to 4, characterized in that, The method further includes: Acquire at least one of meteorological data, remote sensing data, and video data at each node location of the transmission line within the first area, and combine this data with the monitoring data of each node of the transmission line to determine the risk level; the risk level includes: low risk, medium risk, and high risk. The fault analysis report indicates the risk level and the corresponding operation and maintenance strategy.

6. The method according to any one of claims 1 to 4, characterized in that, After transmitting the fault location information and the fault type information to the maintenance terminal in the first area via the network, the method further includes: The monitoring data of abnormal nodes are verified multiple times according to a preset cycle to determine whether the fault has been resolved. If the fault is not resolved, a maintenance prompt message is sent to the maintenance terminal.

7. A fault location device for transmission lines, characterized in that, The device includes: The data acquisition module is used to collect monitoring data of each node of the transmission line in the first area through a pre-set distributed fault location device. The transmission module is used to transmit the monitoring data to the main station in the second area via the network, provided that the authorization requirements are met. The fault analysis module is used to store and analyze the monitoring data through the main station and generate a fault analysis report, which includes: fault location information and fault type information. The feedback module is used to feed back the fault location information and the fault type information to the operation and maintenance terminal in the first area via the network, and / or transmit the fault analysis report to the data center in the third area.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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