Distribution line fault monitoring method, system and device and storage medium

Abstract

The invention discloses a distribution line fault monitoring method, system and device and a storage medium, relates to the technical field of distribution line fault detection, and at least solves the problem that the distribution line fault position cannot be accurately positioned. The method comprises the following steps: according to the length of a to-be-monitored distribution line, the measurement range of monitoring equipment and the fault positioning range of the to-be-monitored distribution line, determining the target number of target monitoring equipment installed on the to-be-monitored distribution line and the target detection position of each target monitoring equipment; the fault positioning range comprises a maximum length range for positioning a fault when the fault occurs; one target detection position corresponds to one power distribution line segment, and the target number of power distribution line segments form a to-be-monitored power distribution line; determining a target variable quantity of a target stress parameter monitored by each target monitoring device; and for any target monitoring device, determining that the target variable quantity of any target monitoring device exceeds a preset change range, and determining that the target power distribution line segment indicated by the corresponding target detection position has a fault.

Description

Technical Field

[0001] The present application relates to the technical field of distribution line fault detection, and in particular to a distribution line fault monitoring method, system, device and storage medium. Background Art

[0002] With the advancement of digital power grid construction, various automated monitoring technologies are being applied to distribution line fault detection. Research has found that most current methods are based on changes in the amplitude of the distribution network current or voltage. However, in actual operation, there are two problems: First, sensors are only deployed at key nodes, and the monitoring points are sparse and have limited coverage. This makes it impossible to accurately locate the broken line location, requiring manual line inspections, resulting in long troubleshooting times. Second, monitoring using the current amplitude method is based on three-phase symmetry. When the load is unstable and asymmetrical, it leads to a high misjudgment rate. In complex composite lines, a single-phase line break may indicate a single-phase grounding fault, resulting in an incorrect fault judgment result. If the line is unloaded or lightly loaded, the current or voltage amplitude cannot be detected, making it impossible to determine whether the conductor is broken. Summary of the Invention

[0003] The present invention provides a method, system, device, and storage medium for monitoring distribution line faults to at least address the problem of being unable to accurately locate distribution line faults. The technical solution of the present invention is as follows: According to a first aspect of an embodiment of the present invention, a distribution line fault monitoring method is provided, which determines the target number of target monitoring devices installed on the distribution line to be monitored and the target detection position of each target monitoring device based on the length of the distribution line to be monitored, the measurement range of the monitoring equipment and the fault location range of the distribution line to be monitored; the fault location range includes the maximum length range for locating the fault when a fault occurs; one target detection position corresponds to one distribution line segment, and a target number of distribution line segments constitute the distribution line to be monitored; the target change amount of the target stress parameter monitored by each target monitoring device is determined; for any target monitoring device, it is determined that the target change amount of any target monitoring device exceeds the preset change range, and it is determined that the target distribution line segment indicated by the corresponding target detection position has a fault.

[0004] In one implementation, before determining the target change amount of the target stress parameter monitored by each target monitoring device, the method also includes: obtaining historical sample data of each distribution line segment, the historical sample data including historical stress parameters, historical environmental parameters, historical conductor performance parameters and corresponding historical wire status evaluation values; training the model parameters of a preset model based on the historical sample data to obtain a target model; the preset model characterizes the correlation between stress parameters, environmental parameters, conductor performance parameters and wire status evaluation values, and the wire status evaluation value is positively correlated with the failure rate of the distribution line segment.

[0005] Stress parameters are greatly affected by the performance of the conductor itself and the environment. The stress parameters, environmental parameters and conductor performance parameters of the historical distribution lines under normal and fault conditions are obtained as historical sample data. The preset model is trained to obtain a target model that can adapt to environmental influences. The target model is used to predict the operating status of the distribution lines in the future time period, and early warning of abnormal distribution line conditions can be given.

[0006] In another implementation method, the model parameters of the preset model are trained based on historical sample data to obtain a target model, including: inputting the historical sample data into the preset model to obtain an output result; comparing the output result with the historical results in the historical sample data to determine the difference between the output result and the historical result; determining that the difference value is less than a preset difference threshold to obtain the target model.

[0007] By comparing the difference between the output results of the preset model and the corresponding historical results in the historical sample data, the accuracy of the preset model is continuously adjusted to train a target model that can accurately predict the distribution line status evaluation value.

[0008] In another implementation method, the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment are obtained; the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment are input into the target model to obtain the target wire status evaluation value of each distribution line segment; and it is determined that one or more distribution line segments whose target wire status evaluation value is higher than the corresponding preset evaluation value are at risk of failure.

[0009] The target model established through multivariate data predicts the power line status evaluation value of each distribution line segment to accurately determine the distribution line segment with failure risk and achieve early warning of failure.

[0010] In another implementation method, the historical sample data represents the parameters of the historical target distribution line segment when a fault occurs, as well as the parameters within a preset time before the historical fault occurs; for any target monitoring device, it is determined that the target change amount of any target monitoring device exceeds the preset change range, and it is determined that the target distribution line segment indicated by the corresponding target detection position has failed, and it also includes: when it is detected that the target distribution line segment indicated by the target detection position has failed, the fault parameters are collected and the historical sample data is updated.

[0011] Collect and determine the parameters at the time of fault and in the period before the fault, iteratively update historical sample data, and update the extreme range of distribution line performance to ensure that the target model can adapt to fluctuations in operating conditions and more accurately predict the status of the power line.

[0012] In another implementation, for any target monitoring device, it is determined that the target change of any target monitoring device does not exceed the preset change range, it is determined that the target distribution line segment indicated by the corresponding target detection position has not failed, and parameters are collected to update historical sample data.

[0013] Collect the parameters of normal operation of distribution lines in real time, iteratively update historical sample data, ensure stability in the target model prediction process, and eliminate misjudgments caused by parameter fluctuations.

[0014] In another implementation, the historical conductor performance parameters include one or more of the following: fatigue curve, creep parameters, and tension threshold of the conductor; and environmental parameters include: temperature, humidity, and wind speed.

[0015] According to a second aspect of an embodiment of the present invention, a distribution line fault monitoring device is provided, which includes: a monitoring position determination unit, configured to determine the target number of target monitoring devices installed on the distribution line to be monitored and the target detection position of each target monitoring device according to the length of the distribution line to be monitored, the measurement range of the monitoring device and the fault location range of the distribution line to be monitored; the fault location range includes the maximum length range for locating the fault when a fault occurs; one target detection position corresponds to one distribution line segment, and a target number of distribution line segments constitute the distribution line to be monitored; a parameter acquisition unit, configured to determine the target change amount of the target stress parameter monitored by each target monitoring device; and a fault judgment unit, configured to determine, for any target monitoring device, that the target change amount of any target monitoring device exceeds a preset change range, and determine that a fault has occurred in the target distribution line segment indicated by the corresponding target detection position.

[0016] According to a third aspect of an embodiment of the present invention, a distribution line fault monitoring system is provided, the system comprising: a plurality of monitoring devices, a pole tower and a controller; each monitoring device is installed on a corresponding pole tower; the controller is configured to execute the distribution line fault monitoring method as described in the first aspect and any possible implementation thereof.

[0017] According to a fourth aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which instructions are stored. When the instructions in the computer-readable storage medium are executed by a processor of a computer device, the computer device is enabled to execute a distribution line fault monitoring method such as the first aspect and any possible implementation thereof.

[0018] The technical solution provided by the embodiment of the present invention brings at least the following beneficial effects: in order to ensure comprehensive and accurate detection of the distribution line to be monitored, the number and position of the monitoring equipment are arranged according to the effective monitoring range of each monitoring equipment and the length of the distribution line to be monitored, so that the effective measurement range of the monitoring equipment can fully cover the distribution line to be monitored. At the same time, taking into account the requirements of the fault location range, the number and position of the monitoring equipment are further adjusted so that the installation density of each monitoring equipment can meet the requirements of the fault location range. Based on the above-mentioned monitoring equipment with each position distribution determined, and the stress parameter is greatly affected by the environment, a single stress parameter cannot effectively characterize the impact of the fault, so the stress parameter change is used to monitor the fault. Based on this, by real-time analysis of each monitoring equipment, the stress parameter change at the corresponding detection position is collected to see if it is abnormal, and whether the distribution line segment in the position range corresponding to the detection position has a fault can be accurately determined. Through the above-mentioned monitoring method, the detection position of the monitoring equipment is accurately distributed, the position of the distribution line segment with a fault is accurately located, and the efficiency of fault location is effectively improved.

[0019] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0021] Figure 1 is a schematic diagram of a distribution line fault monitoring system according to an exemplary embodiment; Figure 2 is a flow chart showing a method for monitoring a distribution line fault according to an exemplary embodiment; Figure 3 is a block diagram of a distribution line fault monitoring device according to an exemplary embodiment; Figure 4 The figure is a schematic diagram showing a distribution line fault monitoring device according to an exemplary embodiment. DETAILED DESCRIPTION

[0022] In order to enable ordinary people in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0023] It should be noted that the terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0024] Before introducing the distribution line fault monitoring method provided by the embodiment of the present application in detail, the application scenarios involved in the embodiment of the present application are briefly introduced first.

[0025] Distribution lines, as the terminal link of the power system, directly supply power to users. Their safe and stable operation is crucial to ensuring power supply. However, distribution lines are characterized by numerous points, a wide area, and long lines. Their routes are complex, equipment quality varies, and they are susceptible to environmental influences such as climate and geography, resulting in high failure rates. Line breaks are a common and serious type of failure in distribution lines. They can be caused by a variety of factors, including mechanical damage, harsh operating environments, electrical equipment quality issues, or improper design and installation. Traditional manual line inspections are inefficient and rely heavily on experience, making it difficult to detect and locate line breaks in a timely manner. This can lead to extended power outages and increased economic losses.

[0026] Next, the implementation architecture involved in this application is briefly introduced below.

[0027] Figure 1 This is a schematic diagram of a distribution line fault monitoring system provided by this application. Figure 1 As shown, the system includes: monitoring equipment 11, a tower 12, and a controller 13.

[0028] The monitoring equipment 11, the tower 12 and the controller 13 are connected to each other via a wired network or a wireless network.

[0029] The monitoring device 11 is configured to monitor stress parameters and environmental parameters of each power distribution line segment.

[0030] The tower 12 is configured to fix the monitoring equipment 11 .

[0031] The controller 13 is configured to obtain monitoring data from the monitoring device 11, determine the fault condition of the current distribution line segment, and predict the conductor status of the distribution line segment within a preset time in the future.

[0032] The controller 13 is configured to execute the distribution line fault monitoring method according to the first aspect and any possible implementation thereof.

[0033] For ease of understanding, the distribution line fault monitoring method provided by this application is specifically introduced below with reference to the accompanying drawings.

[0034] Figure 2 FIG. 1 is a flow chart showing a method for monitoring a distribution line fault according to an exemplary embodiment. Figure 2 As shown, the distribution line fault monitoring method includes the following steps.

[0035] S21, determining the target number of target monitoring devices installed on the distribution line to be monitored and the target detection position of each target monitoring device according to the length of the distribution line to be monitored, the measurement range of the monitoring device and the fault location range of the distribution line to be monitored.

[0036] The fault location range includes the maximum length range for locating the fault when a fault occurs.

[0037] One target detection location corresponds to one distribution line segment, and a target number of distribution line segments constitute the distribution line to be monitored.

[0038] In one embodiment, the length of the distribution line to be monitored far exceeds the measurement range of a monitoring device. Therefore, the position and number of monitoring devices to be installed on the distribution line to be monitored are determined based on the length of the distribution line to be monitored, the measurement range of the monitoring device, and the fault location range of the distribution line to be monitored. The target detection position determined within the measurement range of any monitoring device corresponds to the target distribution line segment of the distribution line to be detected, ensuring that the detection range of all monitoring devices can cover the distribution line to be monitored.

[0039] Furthermore, distribution lines are subject to varying degrees of environmental influence in different regions, resulting in varying detection requirements for fault location ranges. The density of monitoring equipment is adjusted based on the required fault location range of the distribution line being monitored. When the required fault location range is small, the density of detection equipment is set high to ensure more accurate fault location within the distribution line. When the required fault location range is large, the density of detection equipment is set low to conserve resources within the detectable range.

[0040] S22, determining a target change amount of a target stress parameter monitored by each target monitoring device.

[0041] The target variation represents the degree of stress parameter fluctuation within a preset time.

[0042] The stress parameters of the distribution lines fluctuate due to environmental influences, and the target changes of the target stress parameters need to be monitored in real time.

[0043] Specifically, environmental influences include temperature, humidity, wind speed, etc.; wind speed will affect the vibration degree of the distribution line and the change in the stress parameters of the distribution line; temperature and humidity will affect the force on the distribution line and the change in the stress parameters of the distribution line.

[0044] S23 , for any target monitoring device, determining that a target change amount of any target monitoring device exceeds a preset change range, and determining that a target distribution line segment indicated by the corresponding target detection position has a fault.

[0045] In one embodiment, the target change amounts of stress parameters detected by all monitoring devices on the distribution line are analyzed in real time. If the target change amounts of stress parameters are detected to exceed a preset change range, it is determined that a fault has occurred in a distribution line segment. Based on the target detection position corresponding to the target monitoring device that detected the fault signal, the exact location of the faulty distribution line segment is determined, so that the fault situation can be handled in a timely manner.

[0046] Specifically, when the stress parameter suddenly drops to zero and the target variation exceeds a preset variation range, it is determined that a power distribution line segment corresponding to the monitoring device that detects the fault data is disconnected.

[0047] When a fault is detected in the target distribution line segment indicated by the target detection position, fault parameters are collected and historical sample data is updated.

[0048] Based on the above implementation, for any target monitoring device, it is determined that the target change amount of any target monitoring device does not exceed the preset change range, it is determined that the target distribution line segment indicated by the corresponding target detection position has no fault, and parameters are collected to update historical sample data.

[0049] Optionally, before determining the target change in the target stress parameter monitored by each target monitoring device, historical sample data for each distribution line segment is obtained. The historical sample data includes historical stress parameters, historical environmental parameters, historical conductor performance parameters, and corresponding historical wire condition evaluation values. Based on the historical sample data, the model parameters of a preset model are trained to obtain a target model. The preset model characterizes the correlation between the stress parameters, environmental parameters, conductor performance parameters, and the wire condition evaluation value, and the wire condition evaluation value is positively correlated with the failure rate of the distribution line segment.

[0050] Among them, the higher the wire status evaluation value, the greater the failure rate of the distribution point break.

[0051] Conductor performance parameters include one or more of the following: conductor fatigue curve, creep parameters, and tension threshold; environmental parameters include: temperature, humidity, and wind speed.

[0052] The historical sample data includes the parameters of the historical target distribution line section when a fault occurred, as well as the parameters within a preset time before the historical fault occurred; the various influencing factors of the stress parameters are fully considered to ensure that the target model obtained by training the preset model is more accurate.

[0053] The purpose of obtaining historical sample data is to determine the stress parameters of different types of distribution lines in different environments and the fault conditions under the stress state.

[0054] In one embodiment, the correlation between stress parameters, environmental parameters, conductor performance parameters, and wire status evaluation values ​​can be understood as follows: First, the linear expansion of the conductors in a high temperature environment increases the sag of the distribution lines; or the wind load stretches the distribution lines; or the increase in the distribution lines' own gravity will affect the stress parameters and cause the stress to be too low.

[0055] When the stress is too small, the distribution lines may sag too much and come close to or even touch the ground, trees or other obstacles, causing safety accidents.

[0056] Secondly, in a long-term low temperature environment, the conductors shrink, which increases the axial tension of the distribution lines; strong wind pressure causes the distribution lines to swing and vibrate laterally; or ice covering the distribution lines increases the vertical load, which will affect the stress parameters and cause stress to increase.

[0057] When the stress is too large, the stress on the distribution line may exceed its strength limit, causing the distribution line to break or even fracture. At the same time, it will also exert a large force on supporting structures such as poles and towers, affecting the stability of the poles and towers.

[0058] Based on the above embodiment, the model parameters of the preset model are trained according to the historical sample data to obtain the target model, including: inputting the historical sample data into the preset model to obtain the output result; comparing the output result with the historical results in the historical sample data to determine the difference value between the output result and the historical result; determining that the difference value is less than the preset difference threshold to obtain the target model.

[0059] By comparing the difference between the output results of the preset model and the corresponding historical results in the historical sample data, the accuracy of the preset model is continuously adjusted to train a target model that can accurately predict the distribution line status evaluation value.

[0060] In one embodiment, the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment are obtained; the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment are input into a target model to obtain a target line status evaluation value for each distribution line segment; and it is determined that one or more distribution line segments whose target line status evaluation values ​​are higher than corresponding preset evaluation values ​​have a fault risk.

[0061] The target model established through multivariate data predicts the power line status evaluation value of each distribution line segment to accurately determine the distribution line segment with failure risk and achieve early warning of failure.

[0062] In order to achieve the above functions, the distribution line fault monitoring device includes hardware structures or software modules corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0063] The present application also provides a method Figure 3 The distribution line fault monitoring device shown includes: a monitoring position determining unit 301 , a parameter acquiring unit 302 and a fault determining unit 303 .

[0064] The monitoring position determination unit 301 is configured to determine the target number of target monitoring devices installed on the distribution line to be monitored and the target detection position of each target monitoring device based on the length of the distribution line to be monitored, the measurement range of the monitoring equipment, and the fault location range of the distribution line to be monitored; the fault location range includes the maximum length range for locating the fault when a fault occurs; one target detection position corresponds to one distribution line segment, and the target number of distribution line segments constitute the distribution line to be monitored.

[0065] The parameter acquisition unit 302 is configured to determine a target change amount of a target stress parameter monitored by each target monitoring device.

[0066] The fault determination unit 303 is configured to determine, for any target monitoring device, that a target change amount of any target monitoring device exceeds a preset change range, and determine that a target distribution line segment indicated by the corresponding target detection position has a fault.

[0067] As an embodiment, the parameter acquisition unit 302 is specifically configured to, before determining the target change amount of the target stress parameter monitored by each target monitoring device, the method also includes: obtaining historical sample data of each distribution line segment, the historical sample data including historical stress parameters, historical environmental parameters, historical conductor performance parameters and corresponding historical wire status evaluation values; based on the historical sample data, training the model parameters of the preset model to obtain the target model; the preset model characterizes the correlation between stress parameters, environmental parameters, conductor performance parameters and wire status evaluation values, and the wire status evaluation value is positively correlated with the failure rate of the distribution line segment.

[0068] As another embodiment, the parameter acquisition unit 302 is specifically configured to train the model parameters of the preset model based on the historical sample data to obtain the target model, including: inputting the historical sample data into the preset model to obtain the output result; comparing the output result with the historical results in the historical sample data to determine the difference value between the output result and the historical result; determining that the difference value is less than the preset difference threshold to obtain the target model.

[0069] As another embodiment, the parameter acquisition unit 302 is specifically configured to obtain the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment; input the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment into the target model to obtain the target wire status evaluation value of each distribution line segment; and determine whether there is a fault risk in one or more distribution line segments whose target wire status evaluation value is higher than the corresponding preset evaluation value.

[0070] As another embodiment, the fault judgment unit 303 is specifically configured to use historical sample data to represent the parameters when a historical target distribution line segment fails, as well as the parameters within a preset time before the historical failure occurs; for any target monitoring device, it is determined that the target change amount of any target monitoring device exceeds the preset change range, and it is determined that the target distribution line segment indicated by the corresponding target detection position has failed, and it also includes: when a fault is detected in the target distribution line segment indicated by the target detection position, the fault parameters are collected and the historical sample data is updated.

[0071] As another embodiment, the fault judgment unit 303 is specifically configured to determine, for any target monitoring device, that the target change amount of any target monitoring device does not exceed a preset change range, determine that the target distribution line segment indicated by the corresponding target detection position has not failed, collect parameters, and update historical sample data.

[0072] As another embodiment, the parameter acquisition unit 302 is specifically configured so that the historical conductor performance parameters include one or more of the following: fatigue curve, creep parameters, and tension threshold of the conductor; and environmental parameters include: temperature, humidity, and wind speed.

[0073] Regarding the device in the above embodiment, the specific manner in which each unit module performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

[0074] Figure 4 This is a schematic diagram of a distribution line fault monitoring device provided by this application. Figure 4 The monitoring device 60 includes: a first processor 601 , a communication bus 602 , a memory 603 , a communication interface 604 , an output device 605 , an input device 606 , and a second processor 607 .

[0075] The monitoring device 60 may include at least one first processor 601 and a memory 603 for storing processor-executable instructions. The first processor 601 is configured to execute instructions in the memory 603 to implement the distribution line fault monitoring method in the following embodiment.

[0076] In addition, the monitoring device 60 may further include a communication bus 602 , at least one communication interface 604 , an input device 606 , and an output device 605 .

[0077] The first processor 601 can be a central processing unit (CPU), a microprocessor unit, an ASIC, or one or more integrated circuits for controlling the execution of the program of the present application.

[0078] The communication bus 602 may include a pathway for transmitting information between the aforementioned components.

[0079] The communication interface 604 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0080] The input device 606 is used to receive input signals and the output device 605 is used to output signals.

[0081] The memory 603 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory may be independent and connected to the processing unit via a bus. The memory may also be integrated with the processing unit.

[0082] The memory 603 is used to store instructions for executing the solution of the present application, and the execution is controlled by the first processor 601. The first processor 601 is used to execute the instructions stored in the memory 603, thereby realizing the functions of the method of the present application.

[0083] In a specific implementation, as an embodiment, the first processor 601 may include one or more CPUs, such as Figure 4 CPU0 and CPU1 in.

[0084] In a specific implementation, as an embodiment, the distribution line fault monitoring device 60 may include multiple processors, such as Figure 4 6 and 7. Each of these processors can be a single-CPU processor or a multi-CPU processor. A processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0085] The distribution line fault monitoring equipment is as follows Figure 4 The system includes a first processor 601 and a memory 603 for storing executable instructions for the first processor 601. The first processor 601 is configured to execute the executable instructions to implement the distribution line fault monitoring method according to any of the above possible implementations. The above methods can achieve the same technical effects and are not described again to avoid repetition.

[0086] The present application also provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of a control device or a control apparatus, the control device or the control apparatus can perform the distribution line fault monitoring method according to any of the above-described possible embodiments. The above-described methods achieve the same technical effects and are not further described here to avoid repetition.

[0087] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0088] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for monitoring distribution line faults, characterized in that: The method comprises: Determine the target number of target monitoring devices installed on the distribution line to be monitored and the target detection position of each target monitoring device based on the length of the distribution line to be monitored, the measurement range of the monitoring device, and the fault location range of the distribution line to be monitored; the fault location range includes the maximum length range for locating the fault when a fault occurs; one target detection position corresponds to one distribution line segment, and the target number of distribution line segments constitute the distribution line to be monitored; determining a target change amount of a target stress parameter monitored by each of the target monitoring devices; For any target monitoring device, it is determined that a target change amount of the any target monitoring device exceeds a preset change range, and it is determined that a target distribution line segment indicated by a corresponding target detection position has a fault.

2. The method for monitoring distribution line faults according to claim 1, wherein: Before determining the target change amount of the target stress parameter monitored by each target monitoring device, the method further includes: Acquire historical sample data of each distribution line segment, wherein the historical sample data includes historical stress parameters, historical environmental parameters, historical conductor performance parameters, and corresponding historical wire status evaluation values; Based on the historical sample data, the model parameters of the preset model are trained to obtain a target model; the preset model characterizes the correlation between stress parameters, environmental parameters, conductor performance parameters and wire status evaluation values, and the wire status evaluation value is positively correlated with the failure rate of the distribution line segment.

3. The method for monitoring distribution line faults according to claim 2, wherein: Based on the historical sample data, the model parameters of the preset model are trained to obtain the target model, including: Inputting the historical sample data into the preset model to obtain an output result; Comparing the output result with the historical results in the historical sample data to determine the difference between the output result and the historical results; It is determined that the difference value is less than a preset difference threshold value, and the target model is obtained.

4. The method for monitoring distribution line faults according to claim 2, wherein: The method further comprises: Obtain the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment; Inputting the current stress parameters, current environmental parameters, and current conductor performance parameters of each distribution line segment into the target model to obtain a target wire state evaluation value of each distribution line segment; It is determined that there is a risk of failure for one or more of the power distribution line sections whose target power line status evaluation value is higher than a corresponding preset evaluation value.

5. The method for monitoring distribution line faults according to claim 2, wherein: The historical sample data represents the parameters of the target distribution line segment when a fault occurred in the past, as well as the parameters within a preset time before the fault occurred in the past; The step of determining, for any target monitoring device, that a target change amount of the target monitoring device exceeds a preset change range and determining that a target distribution line segment indicated by the target detection position has a fault further includes: When a fault is detected in the target distribution line segment indicated by the target detection position, fault parameters are collected and historical sample data is updated.

6. The method for monitoring distribution line faults according to claim 5, wherein: The method further comprises: For any target monitoring device, determine that the target change amount of any target monitoring device does not exceed the preset change range, determine that the target distribution line segment indicated by the corresponding target detection position has not failed, collect parameters, and update historical sample data.

7. The method for monitoring distribution line faults according to claim 2, wherein: Also includes: The historical conductor performance parameters include one or more of the following: fatigue curve, creep parameter, and tension threshold of the conductor; The environmental parameters include: temperature, humidity, and wind speed.

8. A distribution line fault monitoring device, characterized in that: The device comprises: A monitoring location determination unit is configured to determine a target number of target monitoring devices installed on the distribution line to be monitored and a target detection location of each target monitoring device based on the length of the distribution line to be monitored, the measurement range of the monitoring device, and the fault location range of the distribution line to be monitored; the fault location range includes a maximum length range for locating the fault when a fault occurs; one target detection location corresponds to one distribution line segment, and the target number of distribution line segments constitute the distribution line to be monitored; a parameter acquisition unit configured to determine a target change amount of a target stress parameter monitored by each of the target monitoring devices; The fault determination unit is configured to determine, for any target monitoring device, that a target change amount of the target monitoring device exceeds a preset change range, and determine that a target distribution line segment indicated by the corresponding target detection position has a fault.

9. A distribution line fault monitoring system, characterized in that: The system comprises: Multiple monitoring devices, towers and controllers; Each of the monitoring devices is installed on a corresponding tower; The controller is configured to execute the power distribution line fault monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the distribution line fault monitoring method according to any one of claims 1 to 7.

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