Fault monitoring method and device for low-voltage power distribution system

Abstract

The invention discloses a fault monitoring method and device for a low-voltage power distribution system, and relates to the technical field of fault monitoring. The method comprises the following steps: acquiring first monitoring data corresponding to a first monitoring point; judging whether the first monitoring data is consistent with preset monitoring data or not; when the first monitoring data is inconsistent with the preset monitoring data, marking the first monitoring point as a second monitoring point; obtaining a target number of second monitoring points in the target monitoring set; judging whether the target number is equal to a preset number; when the target number is not equal to the preset number, determining to obtain a first timestamp corresponding to the second monitoring point; obtaining a second timestamp from the plurality of first timestamps; and determining a third monitoring point according to the second timestamp, obtaining a first position corresponding to the third monitoring point, and carrying out fault positioning according to the first position. By implementing the technical scheme provided by the invention, compared with manual inspection and an alarm mechanism of the UPS, the system is more accurate, the time for workers to go to the site for troubleshooting one by one is shortened, and the fault diagnosis efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of fault monitoring, and in particular to a method and device for fault monitoring of a low-voltage power distribution system. Background Art

[0002] In industrial production environments, the power demands of various types of electrical equipment show significant differences. With its high flexibility, the low-voltage power distribution system can be accurately adjusted and switched according to different power demands, thereby fully meeting the actual needs of various power consumption scenarios. This feature makes the low-voltage power distribution system play a vital role in controlling the assembly line production process. In daily production processes, fault monitoring of the low-voltage power distribution system is a key link to ensure the stable operation of the system. Through effective fault monitoring, potential faults or abnormal conditions in the system can be discovered and identified in a timely manner, and targeted repair or preventive measures can be taken to avoid adverse effects of faults on the entire assembly line system.

[0003] However, the current fault monitoring methods of low-voltage power distribution systems mainly rely on manual inspections or traditional alarm mechanisms based on uninterruptible power supplies (UPS). Among them, the fault detection scheme based on UPS indirectly evaluates the overall health of the low-voltage power distribution system by monitoring the mains input status and changes in the UPS working mode. However, both manual inspections and UPS-based alarm mechanisms can only make preliminary judgments on the fault, but cannot quickly and accurately locate the source of the fault. This results in the need for manual on-site inspections one by one after the fault is discovered, which leads to low efficiency in fault diagnosis.

[0004] Therefore, there is an urgent need for a fault monitoring method and device for a low-voltage power distribution system that can solve the above-mentioned technical problems. Summary of the invention

[0005] The present application provides a fault monitoring method and device for a low-voltage power distribution system. The method obtains monitoring data from each monitoring point in real time, makes judgments on the monitoring data, determines the fault point according to the judgment results, and then uses a timestamp-based accurate fault location method. Compared with manual inspections and UPS alarm mechanisms, the method is more accurate, reduces the time for manual on-site inspections one by one, and improves fault diagnosis efficiency.

[0006] In the first aspect, the present application provides a fault monitoring method for a low-voltage power distribution system, which is applied to a monitoring platform, and the method includes: obtaining first monitoring data corresponding to a first monitoring point, the first monitoring point being any monitoring point in the low-voltage power distribution system; judging whether the first monitoring data is consistent with the preset monitoring data; when the first monitoring data is inconsistent with the preset monitoring data, marking the first monitoring point as a second monitoring point; obtaining a target number of second monitoring points in a target monitoring set, the target monitoring set being a set that accommodates the second monitoring points; judging whether the target number is equal to a preset number; when the target number is not equal to the preset number, confirming to obtain a first timestamp corresponding to the second monitoring point, the first timestamp being the first time point at which the electromagnetic intensity change per unit time is greater than a threshold; obtaining a second timestamp from multiple first timestamps, the second timestamp being the timestamp corresponding to the first time point in the multiple first timestamps; determining a third monitoring point according to the second timestamp, and obtaining a first position corresponding to the third monitoring point, locating the fault according to the first position, the third monitoring point being the second monitoring point corresponding to the target monitoring set.

[0007] By adopting the above technical solution, the data of the monitoring point in the low-voltage power distribution system (i.e., the first monitoring data) is monitored in real time and compared with the preset monitoring data; when it is found that the first monitoring data is inconsistent with the preset monitoring, the first monitoring point is marked as the second monitoring point and included in the target monitoring set for management. By checking whether the number of second monitoring points in the target monitoring set is consistent with the preset number, the severity and scope of the fault can be preliminarily evaluated, and the first timestamp corresponding to the second monitoring point (i.e., the first time point at which the electromagnetic intensity change per unit time is greater than the threshold) can be obtained, and the first timestamp can be selected from multiple first timestamps as the second timestamp, so as to determine the initial location of the fault (i.e., the third monitoring point). This precise fault location method based on timestamps is more accurate and faster than manual inspections and UPS-based alarm mechanisms, reducing the time and cost of manual on-site inspections one by one, and improving the efficiency of fault diagnosis.

[0008] Optionally, after determining whether the target number is equal to a preset number, the method also includes: when the target number is equal to the preset number, confirming the acquisition of a second position corresponding to a second monitoring point, marking the second position as a fault state, and sending the fault state to the target user so that the target user can process the second position according to the fault state.

[0009] By adopting the above technical solution, when the target number of the second monitoring point in the target monitoring set is equal to the preset number, the second position corresponding to the second monitoring point is confirmed. Since the second position is determined after real-time monitoring and data analysis, it has high accuracy. This method of accurate fault location helps the target user to quickly find the source of the fault and reduce the troubleshooting time.

[0010] Optionally, fault location is performed based on the first position, specifically including: obtaining a third position corresponding to the second monitoring point, where the second monitoring point is any monitoring point in the target monitoring set; determining whether there is a path association between the first position and the third position, where path association refers to an association that can be connected through a path, and a path refers to a path starting from the first position; when there is a path association between the first position and the third position, obtaining path relationships between multiple fourth positions and the first position, where one fourth position corresponds to one second monitoring point; if multiple fourth positions all have path associations with the first position, confirm that the first position is marked as the source of the fault, and send the first position to the target user based on the source of the fault.

[0011] By adopting the above technical solution, it is possible to further verify the accuracy of the fault source by determining whether there is a path association between the first position and the third position (the position of other monitoring points in the target monitoring set); if multiple fourth positions are path-associated with the first position, then the first position is more reliable in being identified as the fault source. Accurately locating the fault source can greatly reduce the time for operation and maintenance personnel to go to the site for investigation, avoid unnecessary waste of resources, and be able to determine the fault source in a short time and notify the target user in a timely manner.

[0012] Optionally, if multiple fourth locations are path-associated with the first location, the first location is confirmed to be marked as the source of the fault, and after the first location is sent to the target user according to the source of the fault, the method also includes: after a preset time interval, confirming that the target user has repaired the third monitoring point, obtaining the second monitoring data corresponding to the first monitoring point; determining whether the second monitoring data is consistent with the preset monitoring data; when the second monitoring data is consistent with the preset monitoring data, confirming that the third monitoring point is correctly identified as the source of the fault.

[0013] By adopting the above technical solution, the second monitoring data after maintenance is obtained and compared with the preset monitoring data to verify the quality of the maintenance work; if the second monitoring data is consistent with the preset data, it means that the maintenance work has successfully solved the fault problem. Verifying the maintenance effect helps to ensure that the source of the fault has been completely eliminated, thereby avoiding the recurrence of the same fault in a short period of time.

[0014] Optionally, determining whether the first monitoring data is consistent with the preset monitoring data specifically includes: Obtain first operating data from first monitoring data, the first operating data including voltage data, current data and temperature data; determine whether the first operating data is consistent with preset first data; when the first operating data is inconsistent with the preset first data, confirm that the first monitoring data is in a first abnormal state, the first abnormal state including an equipment failure state, an unstable power supply state and a short circuit failure state.

[0015] By adopting the above technical solutions, real-time monitoring of key data such as voltage, current and temperature can detect abnormal status of equipment at the first time, and more accurately judge the operating status of equipment through data analysis. Timely fault detection and early warning help operation and maintenance personnel quickly locate and repair faults, thereby reducing the downtime of low-voltage power distribution systems.

[0016] Optionally, determining whether the first monitoring data is consistent with the preset monitoring data specifically includes: obtaining second operating data from the first monitoring data, the second operating data including frequency data, resistance data and insulation resistance data; determining whether the second operating data is consistent with the preset second data; when the second operating data is inconsistent with the preset second data, confirming that the first monitoring point is in a second abnormal state, the second abnormal state including a power outage state, an equipment damage state, a leakage state and a partial discharge state.

[0017] By adopting the above technical solutions, real-time monitoring and data analysis, operation and maintenance personnel can detect abnormal conditions at the first time and take prompt measures to deal with them. According to the specific type of abnormal conditions (such as power outages, equipment damage, leakage, partial discharge, etc.), operation and maintenance personnel can formulate targeted treatment plans. Timely fault detection and early warning help operation and maintenance personnel quickly locate and repair faults, thereby reducing the impact of faults on systems and equipment.

[0018] Optionally, after determining a third monitoring point according to the first timestamp, obtaining the first position corresponding to the third monitoring point, locating the fault according to the first position, and the third monitoring point being the second monitoring point corresponding to the target monitoring set, the method also includes: obtaining the remaining life and operating time corresponding to the target device, the target device being any device in the low-voltage power distribution system; judging whether the remaining life is greater than a preset value, and whether the operating time is less than or equal to a preset time; when the remaining life is less than or equal to a preset value, and the operating time is greater than the preset time, confirming that the target device is in a state to be maintained, generating preventive maintenance measures according to the state to be maintained, and sending the preventive maintenance measures to the target user.

[0019] By adopting the above technical solution, if the remaining life of the target device is less than or equal to the preset value, and the operating time is greater than the preset time, it can automatically confirm that the device is in a maintenance state, which helps the operation and maintenance personnel to take timely measures to avoid equipment downtime due to failure. Based on the implementation of preventive maintenance measures, the failure downtime rate of the equipment can be significantly reduced, which helps to ensure the stable operation of the equipment and improve production efficiency and power supply quality.

[0020] In a second aspect of the present application, a fault monitoring device for a low-voltage power distribution system is provided, the device is a monitoring platform, and the monitoring platform includes an acquisition unit, a processing unit and a confirmation unit; the acquisition unit acquires first monitoring data corresponding to a first monitoring point, the first monitoring point is any monitoring point in the low-voltage power distribution system; acquires the target number of the second monitoring point in the target monitoring set, the target monitoring set is a set accommodating the second monitoring point; the processing unit determines whether the first monitoring data is consistent with the preset monitoring data; when the first monitoring data is inconsistent with the preset monitoring data, marks the first monitoring point as the second monitoring point; determines whether the target number is equal to the preset number; when the target number is not equal to the preset number, confirms to acquire the first timestamp corresponding to the second monitoring point, the first timestamp is the first time point at which the electromagnetic intensity change per unit time is greater than the threshold; acquires the second timestamp from multiple first timestamps, the second timestamp is the timestamp corresponding to the first time point in the multiple first timestamps; the confirmation unit determines the third monitoring point according to the second timestamp, and acquires the first position corresponding to the third monitoring point, locates the fault according to the first position, the third monitoring point is the second monitoring point corresponding to the target monitoring set.

[0021] Optionally, the confirmation unit is used to confirm the acquisition of the second position corresponding to the second monitoring point when the target number is equal to a preset number, mark the second position as a fault state, and send the fault state to the target user so that the target user can process the second position according to the fault state.

[0022] Optionally, the acquisition unit is used to obtain a third position corresponding to the second monitoring point, where the second monitoring point is any monitoring point in the target monitoring set; the processing unit is used to determine whether there is a path association between the first position and the third position, where path association refers to an association relationship that can be connected through a path, and the path refers to a path starting from the first position; when there is a path association between the first position and the third position, the path relationship between multiple fourth positions and the first position is obtained, and one fourth position corresponds to one second monitoring point; the confirmation unit is used to confirm that the first position is marked as the source of the fault if multiple fourth positions are path-associated with the first position, and send the first position to the target user according to the source of the fault.

[0023] Optionally, the acquisition unit is used to obtain the second monitoring data corresponding to the first monitoring point after confirming that the target user has repaired the third monitoring point at a preset time interval; the processing unit is used to determine whether the second monitoring data is consistent with the preset monitoring data; and the confirmation unit is used to confirm that the third monitoring point has been correctly identified as the source of the fault when the second monitoring data is consistent with the preset monitoring data.

[0024] Optionally, the acquisition unit is used to acquire first operating data from the first monitoring data, the first operating data including voltage data, current data and temperature data; the processing unit is used to determine whether the first operating data is consistent with the preset first data; the confirmation unit is used to confirm that the first monitoring data is in a first abnormal state when the first operating data is inconsistent with the preset first data, the first abnormal state including an equipment failure state, an unstable power supply state and a short circuit failure state.

[0025] Optionally, the acquisition unit is used to acquire second operating data from the first monitoring data, the second operating data including frequency data, resistance data and insulation resistance data; the processing unit is used to determine whether the second operating data is consistent with preset second data; the confirmation unit is used to confirm that the first monitoring point is in a second abnormal state when the second operating data is inconsistent with the preset second data, the second abnormal state including a power outage state, equipment damage state, leakage state and partial discharge state.

[0026] Optionally, the acquisition unit is used to obtain the remaining life and operating time corresponding to the target device, and the target device is any device in the low-voltage power distribution system; the processing unit is used to determine whether the remaining life is greater than a preset value, and whether the operating time is less than or equal to a preset time; the confirmation unit is used to confirm that the target device is in a state to be maintained when the remaining life is less than or equal to a preset value and the operating time is greater than a preset time, generate preventive maintenance measures according to the state to be maintained, and send the preventive maintenance measures to the target user.

[0027] In a third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that an electronic device executes any one of the methods described above in the present application.

[0028] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the above methods of the present application is executed.

[0029] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Real-time monitoring of the data of the first monitoring point in the low-voltage power distribution system (i.e., the first monitoring data) and comparison with the preset monitoring data; when the first monitoring data is found to be inconsistent with the preset monitoring, the first monitoring point is marked as the second monitoring point and included in the target monitoring set for management. By checking whether the number of second monitoring points in the target monitoring set is consistent with the preset number, the severity and scope of the fault can be preliminarily assessed, and the first timestamp corresponding to the second monitoring point (i.e., the first time point at which the change in electromagnetic intensity per unit time is greater than the threshold) can be obtained, and the first timestamp can be selected from multiple first timestamps as the second timestamp, thereby determining the initial location of the fault (i.e., the third monitoring point). This precise fault location method based on timestamps is more accurate and faster than manual inspections and UPS-based alarm mechanisms, reducing the time and cost of manual on-site inspections and improving the efficiency of fault diagnosis.

[0030] 2. If the remaining life of the target device is less than or equal to the preset value, and the operating time is greater than the preset time, it can automatically confirm that the device is in a maintenance state, which helps the operation and maintenance personnel take timely measures to avoid equipment downtime due to failure. Based on the implementation of preventive maintenance measures, the failure downtime rate of the equipment can be significantly reduced, which helps to ensure the stable operation of the equipment and improve production efficiency and power supply quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a fault monitoring method for a low-voltage power distribution system provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a fault monitoring device for a low-voltage power distribution system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0032] Explanation of reference numerals: 201, acquisition unit; 202, processing unit; 203, confirmation unit; 300, electronic device; 301, processor; 302, memory; 303, user interface; 304, network interface; 305, communication bus. DETAILED DESCRIPTION

[0033] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0034] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0035] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0036] In industrial production environments, the power demands of various types of electrical equipment show significant differences. With its high flexibility, the low-voltage power distribution system can be accurately adjusted and switched according to different power demands, thereby fully meeting the actual needs of various power consumption scenarios. This feature makes the low-voltage power distribution system play a vital role in controlling the assembly line production process. In daily production processes, fault monitoring of the low-voltage power distribution system is a key link to ensure the stable operation of the system. Through effective fault monitoring, potential faults or abnormal conditions in the system can be discovered and identified in a timely manner, and targeted repair or preventive measures can be taken to avoid adverse effects of faults on the entire assembly line system.

[0037] However, the current fault monitoring methods of low-voltage power distribution systems mainly rely on manual inspections or traditional alarm mechanisms based on uninterruptible power supplies (UPS). Among them, the fault detection scheme based on UPS indirectly evaluates the overall health of the low-voltage power distribution system by monitoring the mains input status and changes in the UPS working mode. However, both manual inspections and UPS-based alarm mechanisms can only make preliminary judgments on the fault, but cannot quickly and accurately locate the source of the fault. This results in the need for manual on-site inspections one by one after the fault is discovered, which leads to low efficiency in fault diagnosis.

[0038] Therefore, how to effectively solve the shortcomings of manual inspection and UPS-based alarm mechanism in fault location and improve the efficiency of fault diagnosis. A fault monitoring method for a low-voltage power distribution system provided in an embodiment of the present application is applied to a monitoring platform. The monitoring platform of the present application can be a platform that provides fault monitoring services for a low-voltage power distribution system. Figure 1is a flow chart of a fault monitoring method for a low voltage power distribution system provided in an embodiment of the present application, with reference to Figure 1 The method includes the following steps S101-S108.

[0039] S101: Acquire first monitoring data corresponding to a first monitoring point, where the first monitoring point is any monitoring point in a low-voltage power distribution system.

[0040] In the above S101, monitoring points can be set on key parts or equipment in the low-voltage power distribution system, and then any one of the monitoring points can be selected as the first monitoring point. This monitoring point can be any part or equipment, such as a transformer, a switch cabinet, and a line. Through the sensors or monitoring equipment installed at the monitoring point, the monitoring data of the monitoring point is collected in real time. These data may include key parameters such as voltage, current, frequency, resistance, insulation resistance, etc. The collected monitoring data is recorded as the first monitoring data.

[0041] S102: Determine whether the first monitoring data is consistent with the preset monitoring data.

[0042] In the above S102, when it is determined that the low-voltage power distribution system is operating normally, the first monitoring data corresponding to the first monitoring point is obtained, and then a preset monitoring data range or threshold is set according to the specifications, parameters and historical data of the equipment. The collected first monitoring data is compared with the preset monitoring data to determine whether they are consistent.

[0043] At this time, judging whether the first monitoring data is consistent with the preset monitoring data specifically includes: obtaining the first operating data from the first monitoring data, the first operating data including voltage data, current data and temperature data; judging whether the first operating data is consistent with the preset first data; when the first operating data is inconsistent with the preset first data, confirming that the first monitoring data is in the first abnormal state, the first abnormal state includes equipment failure state, unstable power supply state and short circuit failure state. Specifically, since the first monitoring data contains multiple parameters, it is used to reflect the operating state of the low-voltage power distribution system. The key data directly related to the operation of the system extracted from the first monitoring data include voltage data, current data and temperature data. Data processing software or tools can be used to extract voltage data, current data and temperature data from the first monitoring data, that is, the first operating data. The preset first data refers to the numerical range or threshold value that the parameters such as voltage, current and temperature should reach or maintain when the low-voltage power distribution system operates normally. These data are usually determined according to the actual situation of the system, operation and maintenance experience and industry standards, and are used to evaluate whether the operating state of the system is normal. Compare the extracted first operating data with the preset first data to determine whether they are consistent. Consistent power distribution can be judged based on the numerical range. When the first operating data is inconsistent with the preset first data, the system may be in a first abnormal state, which includes equipment failure state, unstable power supply state, short circuit failure state, etc. These abnormal states are often closely related to the operational safety, stability and reliability of the system and need to be discovered and processed in a timely manner. After determining that the first monitoring data is in the first abnormal state, the first monitoring point in the first abnormal state needs to be marked, and then all monitoring points are monitored for faults, and subsequent processing operations are performed according to the marked situation.

[0044] Further, when the first operating data is consistent with the preset first data, confirm that the second operating data is extracted from the first monitoring data, and then judge whether the second operating data is in an abnormal state, so as to realize the effective monitoring of the operating state of the low-voltage power distribution system, specifically including: obtaining the second operating data from the first monitoring data, the second operating data includes frequency data, resistance data and insulation resistance data; judging whether the second operating data is consistent with the preset second data; when the second operating data is inconsistent with the preset second data, confirm that the first monitoring point is in the second abnormal state, and the second abnormal state includes power failure state, equipment damage state, leakage state and partial discharge state. Specifically, the specific parameters extracted from the first monitoring data, namely the second operating data, the second operating data includes frequency data, resistance data and insulation resistance data, which are essential for evaluating the electrical performance and safety of the system. Using data processing software or tools, accurately extract frequency data, resistance data and insulation resistance data from the first monitoring data. The preset second data is the threshold or range of frequency, resistance and insulation resistance set according to the experience value, industry standard or safety specification when the low-voltage power distribution system is operating normally. These data are used to evaluate whether the current operating state of the system is normal. The extracted second operating data is compared with the preset second data to determine whether they are within the allowable error range or whether they meet specific conditions. For frequency data, it can be checked whether it is within the normal operating frequency range; for resistance data, it can be checked whether it meets a specific resistance value or resistance variation range; for insulation resistance data, it can be checked whether it reaches or exceeds the specified insulation resistance value. If the second operating data is inconsistent with the preset second data and exceeds a certain range or condition, it can be confirmed that the first monitoring point is in the second abnormal state. That is, the low-voltage power distribution system may be in the second abnormal state, and the second abnormal state includes a power outage state, a damaged equipment state, a leakage state, and a partial discharge state. The second abnormal state poses a threat to the normal operation and safety of the system. It is also possible to further determine which abnormal state the system may be in based on the specific performance of the abnormal data. For example, abnormal frequency data may indicate that the system is in a power outage state; abnormal resistance data may indicate that the equipment is damaged or has poor contact; abnormal insulation resistance data may indicate that the system has leakage or partial discharge.

[0045] In addition, if the first operating data is consistent with the preset first data, and the second operating data is consistent with the preset second data, it is confirmed that the first monitoring point is in a normal state, and the real-time monitoring of the first monitoring point continues.

[0046] S103: When the first monitoring data is inconsistent with the preset monitoring data, marking the first monitoring point as a second monitoring point.

[0047] In the above S103, after obtaining the first monitoring data, the first monitoring data includes temperature data, voltage data, current data, frequency data, resistance data and insulation resistance data, and the first monitoring data is divided into first operation data and second operation data, the first operation data includes voltage data, current data and temperature data, and the second operation data includes frequency data, resistance data and insulation resistance data. The first operation data and the second operation data are judged in turn. If there is an inconsistency between the first operation data and the second operation data and the preset monitoring data, it can be assumed that the first monitoring data is inconsistent with the preset monitoring data, indicating that the first monitoring point may be abnormal or faulty. At this time, the first monitoring point is marked as the second monitoring point, indicating that further attention and processing are required. Then, other monitoring points in the low-voltage power distribution system are checked in the above manner. If the monitoring data is inconsistent with the preset monitoring data, the monitoring point can be marked as the second monitoring point.

[0048] S104: Obtain the target number of the second monitoring point in the target monitoring set, where the target monitoring set is a set containing the second monitoring point.

[0049] In the above S104, a target monitoring set is created to accommodate all monitoring points marked as second monitoring points. After determining that all monitoring points in the low-voltage power distribution system have been monitored, and the monitoring data are compared with the preset monitoring data, the state of each monitoring point is determined according to the comparison result. The number of second monitoring points in the target monitoring set is counted, that is, the target number. The purpose of obtaining the target number is to determine the number of monitoring points in an abnormal state, so as to facilitate the subsequent location and repair of the fault.

[0050] S105: Determine whether the target quantity is equal to the preset quantity.

[0051] In the above S105, after obtaining the target number, the target number is compared with a preset number, and the preset number is set based on the positioning and troubleshooting method to determine how to locate the fault.

[0052] For example, the preset number can be set to 1, that is, when only one monitoring point in the low-voltage power distribution system is in an abnormal state, the position corresponding to the monitoring point can be directly obtained to locate the fault. When multiple monitoring points in the low-voltage power distribution system are in an abnormal state at the same time, it may be because a certain monitoring point has a fault, which in turn affects other monitoring points. Therefore, the source of the fault needs to be located so that the fault can be repaired as soon as possible.

[0053] S106: When the target number is not equal to the preset number, confirm and obtain the first timestamp corresponding to the second monitoring point, where the first timestamp is the first time point when the change of the electromagnetic intensity per unit time is greater than the threshold.

[0054] In the above S106, if the target number is not equal to the preset number, it means that there are multiple monitoring points with abnormalities. At this time, it is necessary to obtain the first timestamp corresponding to each second monitoring point. The first timestamp refers to the first time point in which the change of electromagnetic intensity per unit time is greater than the threshold value, which can help determine the time range of the fault. Since the low-voltage power distribution system will generate electromagnetic wave signals when a fault occurs, this signal can be captured and analyzed by sensors. Then the captured electromagnetic wave signal is analyzed using signal processing technology to obtain the electromagnetic wave intensity. Therefore, a corresponding sensor is installed at each monitoring point to monitor the electromagnetic wave intensity and obtain the electromagnetic wave intensity of each second monitoring point at different time points in real time. And the time point is associated with the electromagnetic wave intensity, so that when it is judged that the change of the electromagnetic wave intensity is greater than the threshold value, the time point corresponding to the electromagnetic wave intensity can be obtained. The threshold refers to the electromagnetic wave threshold, and the electromagnetic wave threshold is determined based on historical data to determine the electromagnetic wave intensity of each monitoring point in a normal state. After obtaining the first electromagnetic wave intensity corresponding to the second monitoring point at a certain time point, the first electromagnetic wave intensity is compared with the electromagnetic wave threshold. If the first electromagnetic wave intensity is greater than the electromagnetic wave threshold, it is confirmed that the first electromagnetic wave intensity monitored by the monitoring point at the current time point is in a mutation electromagnetic wave, and then the time point corresponding to the mutation electromagnetic wave is obtained, and the time point is defined as the first timestamp. The first timestamp can also be understood as the timestamp corresponding to the first mutation of the electromagnetic wave signal at each second monitoring point. By analyzing the changes in the electromagnetic intensity of each second monitoring point in the target monitoring set, the time point when the electromagnetic intensity of each second monitoring point first exceeds the threshold can be found as the first timestamp of the monitoring point.

[0055] S107: Obtain a second timestamp from the multiple first timestamps, where the second timestamp is a timestamp corresponding to the earliest time point among the multiple first timestamps.

[0056] In the above S107, the timestamp corresponding to the first time point is selected from the multiple first timestamps as the second timestamp. The second timestamp represents the earliest time point of abnormality among all the second monitoring points, which is of great significance for determining the source of the fault. At this time, when selecting the second timestamp, the multiple first timestamps are sorted in chronological order, and then the timestamp corresponding to the first time point in the sorting result is obtained.

[0057] S108: Determine a third monitoring point according to the second timestamp, obtain a first position corresponding to the third monitoring point, and locate the fault according to the first position. The third monitoring point is the corresponding second monitoring point in the target monitoring set.

[0058] In the above S108, according to the second timestamp, the corresponding second monitoring point is found in the target monitoring set and is determined as the third monitoring point. The third monitoring point is the monitoring point where the abnormality occurs first and is likely to be the source of the fault. Then the first position corresponding to the third monitoring point is obtained. At this time, the first position is the specific position of the third monitoring point in the low-voltage power distribution system or the sensor number and other information.

[0059] In addition, fault location is performed based on the first position, specifically including: obtaining the third position corresponding to the second monitoring point, where the second monitoring point is any monitoring point in the target monitoring set; determining whether there is a path association between the first position and the third position, where the path association refers to an association relationship that can be connected through a path, and the path refers to a path starting from the first position; when there is a path association between the first position and the third position, obtaining the path relationship between multiple fourth positions and the first position, where one fourth position corresponds to one second monitoring point; if multiple fourth positions are path-associated with the first position, confirm that the first position is marked as the source of the fault, and send the first position to the target user according to the source of the fault. Specifically, the second monitoring point is obtained from the target monitoring set, and then the third position of the second monitoring point in the low-voltage power distribution system is obtained. The third position can be a specific coordinate, a device number, or a relative position to a reference point, etc. The third position information corresponding to the second monitoring point is obtained by means of sensor number, etc. Since a pending fault source, namely the first position, has been ruled out, it is also necessary to compare the first position with the positions of other monitoring points in the target monitoring set for path association. Path association refers to an association relationship that can be connected through a path. The path here refers to the path starting from the first position. That is, starting from the first position, the path that can reach the positions of other second monitoring points can also be understood as other second monitoring points need to circulate from the third monitoring point. The first position of the third monitoring point can be a key node. The system layout diagram, equipment connection diagram and other materials can be used to determine whether there is a path association between the first position and the third position. If the first position and the third position can be connected through a path, it is considered that they have a path association. For example, there is a path connecting the third position and the first position, and the first position is the upstream node or other node of the third position. Since there are multiple second monitoring points in the target monitoring set, multiple fourth positions corresponding to multiple second monitoring points are obtained, and then the path association between multiple fourth positions and the first position is obtained. Path association refers to whether multiple fourth positions are path-associated with the first position. If multiple fourth positions are path-associated with the first position, and the monitoring points corresponding to these fourth positions have abnormal conditions (such as abnormal current, abnormal voltage, etc.), the first position can be considered to be the source of the fault. The source of the fault is the root cause of the system abnormality or failure, so it requires special attention and processing. Send the confirmed fault source information to the target user in an appropriate manner. The sending method can be SMS, email, phone, or internal notification of the system. Ensure that the target user can receive the fault source information in a timely and accurate manner so that further measures can be taken to deal with it. The rapid location and confirmation of the fault source in the low-voltage power distribution system is realized. This helps the operation and maintenance personnel take timely measures to eliminate the fault and ensure the stable operation of the system.

[0060] Further, after determining the source of the fault in the low-voltage power distribution system, it is also necessary to confirm whether the fault source cannot be checked, so as to realize the previous troubleshooting and maintenance confirmation of the fault source in the low-voltage power distribution system. After a preset time interval, after confirming that the target user has repaired the third monitoring point, obtain the second monitoring data corresponding to the first monitoring point; determine whether the second monitoring data is consistent with the preset monitoring data; when the second monitoring data is consistent with the preset monitoring data, confirm that the third monitoring point is the source of the fault. Specifically, the preset time refers to the time interval after the target user completes the maintenance operation, waits for a period of time to ensure that the maintenance effect is stable, and then conducts subsequent monitoring. The target user can be an operation and maintenance personnel, a management personnel, or a related technical support team. The setting of the preset time should be determined according to the complexity of the maintenance work, the need for the system to restore stability, and the actual operation and maintenance experience. After the preset time is over, confirm that the target user has completed the maintenance operation on the third monitoring point through system records, on-site inspections, or communication with the target user. Ensure that the maintenance operation is carried out in accordance with the established plan and requirements, and that no new problems or abnormal situations occur during the maintenance process. At this time, the starting point of the fault source investigation is re-monitored, that is, the second monitoring data of the first monitoring point is obtained. The second monitoring data refers to the data obtained at the first monitoring point for evaluating the system operation status. These data can be physical quantities such as current, voltage, and temperature. When comparing the second monitoring data with the preset monitoring data, the preset monitoring data refers to the monitoring data range or threshold that should be obtained at the first monitoring point when the system is operating normally. Compare the obtained second monitoring data with the preset monitoring data to determine whether they are consistent. If the second monitoring data is within the range of the preset monitoring data or meets the preset threshold condition, they are considered to be consistent. When the second monitoring data is consistent with the preset monitoring data, it means that the operating state of the low-voltage distribution system at the first monitoring point has returned to normal. Since the third monitoring point is a fault point associated with the first monitoring point and maintenance operations have been performed, it can be confirmed that the third monitoring point is the fault source investigation. Record the confirmation results in the operation and maintenance log or system for subsequent analysis and reference. At the same time, the confirmation results are fed back to relevant departments and personnel so that they can understand the progress and results of the fault investigation. In addition, if the second monitoring data is inconsistent with the preset monitoring data, it is confirmed that the first location is the source of the fault. The timestamp of the target monitoring set needs to be obtained again to re-determine the new source of the fault. The fifth location corresponding to each second monitoring point in the target monitoring set can also be obtained in turn, and the fifth location is sent to the target user, so that the target user can arrange the corresponding target user to go to the fifth location to check each second monitoring point to check whether the cause of the fault is due to equipment aging, which leads to abnormalities in multiple monitoring points in the low-voltage power distribution system.

[0061] Furthermore, when the target number is equal to the preset number, it is confirmed that the second position corresponding to the second monitoring point is obtained, the second position is marked as a fault state, and the fault state is sent to the target user so that the target user can process the second position according to the fault state. Specifically, the target number obtained by statistics is compared with the preset number. If the target number is equal to the preset number, it means that the abnormal situation currently monitored has reached the set threshold and further measures need to be taken. Since the preset number is set to 1, there is only one second monitoring point in the target monitoring set at this time, so the position information corresponding to the second monitoring point, that is, the second position, is obtained. The second position can be a specific position description, number, or relative position of the second monitoring point in the system. Because there is an abnormality in only one monitoring point, the second position is marked as a fault state. Record relevant information of the fault state, including the time, location, scope of impact, possible causes, etc. of the fault. The target user can be an operation and maintenance personnel, a manager, or a related technical support team, etc. Send the fault state information to the target user in an appropriate manner. The sending method can be SMS, email, phone, or notification within the system, etc. Ensure that the target user can receive the fault state information in a timely and accurate manner. After receiving the fault status information, the target user needs to read and understand the content carefully. The fault status and treatment plan are sent to the target user so that the target user can go to the second location for maintenance. After the treatment is completed, the treatment results are fed back to the relevant responsible person or system.

[0062] In a possible implementation, in addition to daily real-time monitoring, the remaining life and operating time of the equipment can also be evaluated, and preventive maintenance measures can be formulated according to the evaluation results to achieve effective monitoring and maintenance management of the target equipment in the low-voltage power distribution system. Specifically, it includes: obtaining the remaining life and operating time corresponding to the target equipment, and the target equipment is any equipment in the low-voltage power distribution system; judging whether the remaining life is greater than the preset value, and whether the operating time is less than or equal to the preset time; when the remaining life is less than or equal to the preset value, and the operating time is greater than the preset time, confirming that the target equipment is in a state to be maintained, generating preventive maintenance measures according to the state to be maintained, and sending the preventive maintenance measures to the target user. Specifically, in the low-voltage power distribution system, any device is selected as the target device. This target device can be a transformer, a switchgear, a capacitor bank, etc. The operating data of the equipment is collected in real time through sensors or monitoring systems installed on the target equipment. These data include key performance indicators such as voltage, current, temperature, and vibration of the equipment. At the same time, it is necessary to collect the operating history data of the equipment, including past fault records, maintenance records, performance test results, etc. The collected monitoring data is cleaned and preprocessed to remove noise and abnormal values ​​to ensure the accuracy and reliability of the data. The processed data is input into the remaining life assessment model. The remaining life of the target equipment is predicted using the remaining life assessment model. This model can be an analytical model based on a degradation curve, an assessment model based on a threshold, or a data-driven prediction model. Based on the output of the model, the remaining life of the target equipment is obtained. The operating time information of the target equipment is extracted from the monitoring data. This can be the continuous operating time of the equipment since the last shutdown, or the cumulative operating time of the equipment throughout its life cycle. According to the operating requirements and maintenance strategy of the low-voltage power distribution system, the preset value of the remaining life and the preset duration of the operating time are set. The remaining life of the target equipment is compared with the preset value to determine whether the remaining life is less than or equal to the preset value. At the same time, the operating time of the target equipment is compared with the preset duration to determine whether the operating time is greater than the preset duration. If the remaining life of the target equipment is less than or equal to the preset value, and the operating time is greater than the preset duration, it is confirmed that the target equipment is in a state to be maintained. According to the specific situation of the target equipment and the results of the remaining life assessment, targeted preventive maintenance measures are formulated. These measures may include regular inspection, maintenance, replacement of parts, system upgrades, etc. Preventive maintenance measures are integrated into a specific maintenance plan, including maintenance time, maintenance content, required materials and tools, etc. Identify the person or team responsible for the maintenance of the target equipment as the target user. Send the preventive maintenance measures and maintenance plan to the target user via email, SMS, phone or other communication methods. Ensure that the target user can receive relevant information in a timely manner and understand the specific content and requirements of the maintenance measures. Track the implementation of preventive maintenance measures by the target user to ensure that the maintenance plan is implemented correctly.This helps reduce the risk of equipment failure and improve the reliability and safety of the system. In addition, if the remaining life is greater than the preset number and the operating time is less than the preset time, it is confirmed that the target device is in normal operation and the target device continues to be monitored.

[0063] The present application also provides a fault monitoring device for a low voltage power distribution system. Figure 2 is a schematic diagram of a fault monitoring device for a low voltage power distribution system provided in an embodiment of the present application, with reference to Figure 2 The device is a monitoring platform, which includes an acquisition unit 201, a processing unit 202 and a confirmation unit 203.

[0064] The acquisition unit 201 acquires first monitoring data corresponding to a first monitoring point, where the first monitoring point is any monitoring point in the low-voltage power distribution system; and acquires a target number of second monitoring points in a target monitoring set, where the target monitoring set is a set containing the second monitoring points.

[0065] Processing unit 202, determines whether the first monitoring data is consistent with the preset monitoring data; when the first monitoring data is inconsistent with the preset monitoring data, marks the first monitoring point as the second monitoring point; determines whether the target number is equal to the preset number; when the target number is not equal to the preset number, confirms to obtain the first timestamp corresponding to the second monitoring point, the first timestamp is the first time point in which the electromagnetic intensity change per unit time is greater than the threshold; obtains the second timestamp from multiple first timestamps, the second timestamp is the timestamp corresponding to the first time point among the multiple first timestamps.

[0066] The confirmation unit 203 determines a third monitoring point according to the second timestamp, obtains a first position corresponding to the third monitoring point, and locates the fault according to the first position. The third monitoring point is the corresponding second monitoring point in the target monitoring set.

[0067] In a possible implementation, the confirmation unit 203 is used to confirm the acquisition of the second position corresponding to the second monitoring point when the target number is equal to a preset number, mark the second position as a fault state, and send the fault state to the target user so that the target user can process the second position according to the fault state.

[0068] In a possible implementation, the acquisition unit 201 is used to acquire a third position corresponding to a second monitoring point, where the second monitoring point is any monitoring point in the target monitoring set; the processing unit 202 is used to determine whether there is a path association between the first position and the third position, where path association refers to an association relationship that can be connected through a path, and a path refers to a path starting from the first position; when there is a path association between the first position and the third position, the path relationship between multiple fourth positions and the first position is acquired, and one fourth position corresponds to one second monitoring point; the confirmation unit 203 is used to confirm that the first position is marked as the source of the fault if multiple fourth positions are path-associated with the first position, and send the first position to the target user according to the source of the fault.

[0069] In a possible implementation, the acquisition unit 201 is used to obtain the second monitoring data corresponding to the first monitoring point after confirming that the target user has repaired the third monitoring point at a preset time interval; the processing unit 202 is used to determine whether the second monitoring data is consistent with the preset monitoring data; and the confirmation unit 203 is used to confirm that the third monitoring point has been correctly identified as the source of the fault when the second monitoring data is consistent with the preset monitoring data.

[0070] In a possible implementation, the acquisition unit 201 is used to acquire first operating data from first monitoring data, the first operating data including voltage data, current data and temperature data; the processing unit 202 is used to determine whether the first operating data is consistent with preset first data; the confirmation unit 203 is used to confirm that the first monitoring data is in a first abnormal state when the first operating data is inconsistent with the preset first data, the first abnormal state including an equipment failure state, an unstable power supply state and a short circuit failure state.

[0071] In a possible implementation, the acquisition unit 201 is used to acquire second operating data from the first monitoring data, the second operating data including frequency data, resistance data and insulation resistance data; the processing unit 202 is used to determine whether the second operating data is consistent with the preset second data; the confirmation unit 203 is used to confirm that the first monitoring point is in a second abnormal state when the second operating data is inconsistent with the preset second data, the second abnormal state including a power outage state, an equipment damage state, a leakage state and a partial discharge state.

[0072] In a possible implementation, the acquisition unit 201 is used to obtain the remaining life and operating time corresponding to the target device, where the target device is any device in the low-voltage power distribution system; the processing unit 202 is used to determine whether the remaining life is greater than a preset value, and whether the operating time is less than or equal to a preset time; the confirmation unit 203 is used to confirm that the target device is in a state to be maintained when the remaining life is less than or equal to a preset value and the operating time is greater than a preset time, generate preventive maintenance measures based on the state to be maintained, and send the preventive maintenance measures to the target user.

[0073] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0074] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 302 , and at least one communication bus 305 .

[0075] The communication bus 305 is used to realize the connection and communication between these components.

[0076] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0077] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0078] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 302, and calling data stored in the memory 302. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application requests; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0079] Among them, the memory 302 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 302 includes a non-transitory computer-readable storage medium. The memory 302 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 302 may include a program storage area and a data storage area, wherein the program storage area. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. can be stored; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 302 can also be optionally at least one storage device located away from the aforementioned processor 301.

[0080] like Figure 3 As shown, the memory 302 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for fault monitoring of a low-voltage power distribution system.

[0081] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application program for fault monitoring of the low-voltage power distribution system stored in the memory 302. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0082] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0083] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0087] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0088] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A fault monitoring method for a low voltage power distribution system, characterized in that: Applied to a monitoring platform, the method comprises: Acquire first monitoring data corresponding to a first monitoring point, where the first monitoring point is any monitoring point in the low-voltage power distribution system; Determining whether the first monitoring data is consistent with preset monitoring data; When the first monitoring data is inconsistent with the preset monitoring data, marking the first monitoring point as a second monitoring point; Obtain a target number of the second monitoring points in a target monitoring set, where the target monitoring set is a set containing the second monitoring points; Determining whether the target quantity is equal to a preset quantity; When the target number is not equal to the preset number, confirming to obtain a first timestamp corresponding to the second monitoring point, the first timestamp being the first time point at which the change in electromagnetic intensity per unit time is greater than a threshold; Acquire a second timestamp from the plurality of first timestamps, where the second timestamp is a timestamp corresponding to the earliest time point among the plurality of first timestamps; A third monitoring point is determined according to the second timestamp, and a first position corresponding to the third monitoring point is obtained. The fault is located according to the first position. The third monitoring point is the second monitoring point corresponding to the target monitoring set.

2. The method according to claim 1, characterized in that After determining whether the target quantity is equal to a preset quantity, the method further includes: When the target number is equal to the preset number, confirm that the second position corresponding to the second monitoring point is obtained, mark the second position as a fault state, and send the fault state to the target user so that the target user can process the second position according to the fault state.

3. The method according to claim 2, characterized in that The performing fault locating according to the first position specifically includes: Obtaining a third position corresponding to the second monitoring point, where the second monitoring point is any monitoring point in the target monitoring set; Determine whether there is a path association between the first position and the third position, where the path association refers to an association relationship that can be connected through a path, and the path refers to a path starting from the first position; When the first position and the third position have the path association, obtaining the path relationship between a plurality of fourth positions and the first position, wherein one fourth position corresponds to one second monitoring point; If the plurality of fourth positions are associated with the first position by the path, the first position is confirmed to be marked as a fault source, and the first position is sent to the target user according to the fault source.

4. The method according to claim 3, characterized in that: If the plurality of fourth positions are associated with the first position by the path, it is confirmed that the first position is marked as a fault source, and after the first position is sent to the target user according to the fault source, the method further includes: After confirming that the target user has repaired the third monitoring point at a preset interval, obtaining the second monitoring data corresponding to the first monitoring point; Determining whether the second monitoring data is consistent with the preset monitoring data; When the second monitoring data is consistent with the preset monitoring data, it is confirmed that the third monitoring point is the source of the fault and has been correctly identified.

5. The method according to claim 1, characterized in that The determining whether the first monitoring data is consistent with the preset monitoring data specifically includes: Acquire first operating data from the first monitoring data, where the first operating data includes voltage data, current data, and temperature data; Determining whether the first operating data is consistent with the preset first data; When the first operating data is inconsistent with the preset first data, it is confirmed that the first monitoring data is in a first abnormal state, and the first abnormal state includes an equipment failure state, an unstable power supply state, and a short circuit failure state.

6. The method according to claim 5, characterized in that The determining whether the first monitoring data is consistent with the preset monitoring data specifically includes: Acquire second operating data from the first monitoring data, the second operating data comprising frequency data, resistance data, and insulation resistance data; Determining whether the second operating data is consistent with preset second data; When the second operating data is inconsistent with the preset second data, it is confirmed that the first monitoring point is in a second abnormal state, and the second abnormal state includes a power outage state, an equipment damage state, a leakage state, and a partial discharge state.

7. The method according to claim 2, characterized in that After determining a third monitoring point according to the first timestamp, acquiring a first position corresponding to the third monitoring point, locating the fault according to the first position, and the third monitoring point being the second monitoring point corresponding to the target monitoring set, the method further includes: Obtaining the remaining life and operating time corresponding to a target device, wherein the target device is any device in the low-voltage power distribution system; Determine whether the remaining life is greater than a preset value and whether the operating time is less than or equal to a preset time; When the remaining life is less than or equal to the preset value and the operating time is greater than the preset time, it is confirmed that the target device is in a maintenance pending state, a preventive maintenance measure is generated according to the maintenance pending state, and the preventive maintenance measure is sent to the target user.

8. A fault monitoring device for a low voltage power distribution system, characterized in that: The device is a monitoring platform, and the monitoring platform comprises an acquisition unit (201), a processing unit (202) and a confirmation unit (203); The acquisition unit (201) acquires first monitoring data corresponding to a first monitoring point, the first monitoring point being any monitoring point in the low-voltage power distribution system; and acquires a target number of the second monitoring points in a target monitoring set, the target monitoring set being a set containing the second monitoring points; The processing unit (202) determines whether the first monitoring data is consistent with the preset monitoring data; when the first monitoring data is inconsistent with the preset monitoring data, marks the first monitoring point as a second monitoring point; determines whether the target number is equal to the preset number; When the target number is not equal to the preset number, confirm to obtain a first timestamp corresponding to the second monitoring point, the first timestamp being the first time point at which the change in electromagnetic intensity per unit time is greater than a threshold; obtain a second timestamp from the plurality of the first timestamps, the second timestamp being the timestamp corresponding to the first time point among the plurality of the first timestamps; The confirmation unit (203) determines a third monitoring point according to the second timestamp, obtains a first position corresponding to the third monitoring point, and locates the fault according to the first position, wherein the third monitoring point is the second monitoring point corresponding to the target monitoring set.

9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (302), a user interface (303) and a network interface (304), wherein the memory (302) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (302) so that the electronic device (300) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

Images