A fault monitoring method and device for a low-voltage power distribution system

Abstract

The application discloses a fault monitoring method and device of a low-voltage power distribution system, and relates to the technical field of fault monitoring. In the method, first monitoring data corresponding to a first monitoring point is acquired; it is judged whether the first monitoring data is consistent with preset monitoring data; when the first monitoring data is inconsistent with the preset monitoring data, the first monitoring point is marked as a second monitoring point; a target quantity of the second monitoring point in a target monitoring set is acquired; it is judged whether the target quantity is equal to a preset quantity; when the target quantity is not equal to the preset quantity, a first time stamp corresponding to the second monitoring point is confirmed to be acquired; a second time stamp is acquired from a plurality of first time stamps; a third monitoring point is determined according to the second time stamp, and a first position corresponding to the third monitoring point is acquired; and fault positioning is performed according to the first position. Compared with manual inspection and an alarm mechanism of a UPS, the technical scheme provided by the application is more accurate, the time for manually going to the scene to check one by one is reduced, and the fault diagnosis efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of fault monitoring technology, specifically to a fault monitoring method and device for a low-voltage power distribution system. Background Technology

[0002] In industrial production environments, the power demands of various electrical devices vary significantly. Low-voltage power distribution systems, with their high flexibility, can precisely adjust and switch according to different power needs, thus fully meeting the actual requirements of various power usage scenarios. This characteristic makes low-voltage power distribution systems play a crucial role in controlling assembly line production processes. During daily production, fault monitoring of low-voltage power distribution systems is a key aspect of ensuring stable system operation. Effective fault monitoring can promptly detect and identify potential faults or anomalies in the system, allowing for targeted repair or preventative measures to avoid adverse effects on the entire assembly line system.

[0003] However, current fault monitoring methods for low-voltage power distribution systems mainly rely on manual inspections or traditional alarm mechanisms based on uninterruptible power supplies (UPS). UPS-based fault detection schemes indirectly assess the overall health of the low-voltage power distribution system by monitoring changes in mains input status and UPS operating modes. However, both manual inspections and UPS-based alarm mechanisms can only provide preliminary fault assessments and cannot quickly and accurately pinpoint the fault source. This necessitates manual on-site inspections after a fault is discovered, resulting in low fault diagnosis efficiency.

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

[0005] This application provides a fault monitoring method and device for a low-voltage power distribution system. The method acquires monitoring data from each monitoring point in real time, judges the monitoring data, determines the fault point based on the judgment result, and then uses a time-stamp-based precise fault location method. Compared with manual inspection and UPS alarm mechanism, this method is more accurate, reduces the time spent by going to the site to check one by one, and improves fault diagnosis efficiency.

[0006] In a first aspect, this application provides a fault monitoring method for a low-voltage power distribution system, applied to a monitoring platform. The method includes: acquiring first monitoring data corresponding to a first monitoring point, wherein 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; acquiring a target number of second monitoring points in a target monitoring set, wherein the target monitoring set is a set that accommodates the second monitoring points; determining whether the target number is equal to a preset number; when the target number is not equal to the preset number, confirming the acquisition of a first timestamp corresponding to the second monitoring point, wherein the first timestamp is the earliest time point in which the electromagnetic intensity change per unit time exceeds a threshold; acquiring a second timestamp from multiple first timestamps, wherein the second timestamp is the timestamp corresponding to the earliest time point in the multiple first timestamps; determining a third monitoring point based on the second timestamp, and acquiring a first location corresponding to the third monitoring point, performing fault location based on the first location, wherein the third monitoring point is the second monitoring point corresponding to the target monitoring set.

[0007] By adopting the above technical solution, data from monitoring points in the low-voltage power distribution system (i.e., the first monitoring data) is monitored in real time and compared with preset monitoring data. When the first monitoring data is found to be inconsistent with the preset monitoring data, 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 earliest time point when the electromagnetic intensity change is greater than the threshold within a unit of time) can be confirmed. The earliest timestamp is selected from multiple first timestamps as the second timestamp, thereby determining the initial location of the fault (i.e., the third monitoring point). This time-stamp-based precise fault location method is more accurate and faster than manual inspection and UPS-based alarm mechanisms, reducing the time and cost of manual on-site inspections and improving the efficiency of fault diagnosis.

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

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

[0010] Optionally, fault location is performed based on the first location, specifically including: obtaining the third location 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 location and the third location, where a path association refers to a connection that can be made through a path, and a path refers to a path starting from the first location; when there is a path association between the first location and the third location, obtaining the path relationship between multiple fourth locations and the first location, where each fourth location corresponds to one second monitoring point; if multiple fourth locations are all path-associated with the first location, confirming that the first location is marked as the source of the fault, and sending the first location to the target user based on the source of the fault.

[0011] By employing the above technical solution, determining whether there is a path correlation between the first location and the third location (the locations of other monitoring points in the target monitoring set) can further verify the accuracy of the fault source. If multiple fourth locations are path-correlated with the first location, then the credibility of identifying the first location as the fault source is higher. Accurate fault source location can significantly reduce the time spent by maintenance personnel going to the site for troubleshooting, avoid unnecessary resource waste, and enable the fault source to be determined in a short time and the target users to be notified in a timely manner.

[0012] Optionally, if multiple fourth locations are all path-associated with the first location, after confirming that the first location is marked as the source of the fault and sending the first location to the target user based on the source of the fault, the method further includes: after a preset time interval, after 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 indeed the source of the fault.

[0013] By employing the above technical solution, second monitoring data is obtained after repair and compared with preset monitoring data, which verifies the quality of the repair work. If the second monitoring data matches the preset data, it indicates that the repair work has successfully resolved the fault. Verifying the repair effect helps ensure that the source of the fault has been completely eliminated, thereby preventing the same fault from recurring in a short period of time.

[0014] Optionally, determine whether the first monitoring data is consistent with the preset monitoring data, specifically including:

[0015] First operating data is obtained from the first monitoring data, which includes voltage data, current data, and temperature data; it is determined 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, which includes equipment failure state, power supply instability state, and short circuit failure state.

[0016] By adopting the above technical solutions, real-time monitoring of key data such as voltage, current, and temperature enables the immediate detection of abnormal equipment conditions. Data analysis allows for a more accurate assessment of the equipment's operating status. Timely fault detection and early warning help maintenance personnel quickly locate and repair faults, thereby reducing downtime in low-voltage power distribution systems.

[0017] 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 power outage state, equipment damage state, leakage state and partial discharge state.

[0018] By adopting the above technical solutions, real-time monitoring and data analysis enable maintenance personnel to detect abnormal states immediately and take swift action. Depending on the specific type of abnormal state (such as power outages, equipment damage, leakage, partial discharge, etc.), maintenance personnel can develop targeted solutions. Timely fault detection and early warning help maintenance personnel quickly locate and repair faults, thereby reducing the impact of faults on systems and equipment.

[0019] Optionally, after determining the third monitoring point based on the first timestamp, obtaining the first location corresponding to the third monitoring point, and locating the fault based on the first location, and the third monitoring point being the second monitoring point corresponding to the target monitoring set, the method further includes: obtaining the remaining lifespan and operating time of the target device, where the target device is any device in the low-voltage power distribution system; determining whether the remaining lifespan is greater than a preset value and whether the operating time is less than or equal to a preset duration; when the remaining lifespan is less than or equal to the preset value and the operating time is greater than the preset duration, confirming that the target device is in a state awaiting maintenance, generating preventive maintenance measures based on the state awaiting maintenance, and sending the preventive maintenance measures to the target user.

[0020] By adopting the above technical solution, if the remaining lifespan of the target equipment is less than or equal to a preset value, and the operating time exceeds a preset duration, the system can automatically confirm that the equipment is in a maintenance-needed state. This helps maintenance personnel take timely measures to prevent equipment downtime due to malfunctions. Based on implementing preventative maintenance measures, the downtime rate of equipment failures can be significantly reduced, which helps ensure stable equipment operation and improves production efficiency and power supply quality.

[0021] In a second aspect of this application, a fault monitoring device for a low-voltage power distribution system is provided. The device is a monitoring platform, which includes an acquisition unit, a processing unit, and a confirmation unit. The acquisition unit 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. It also acquires a target number of second monitoring points in a target monitoring set, where the target monitoring set is a collection that includes the second monitoring points. The processing unit determines whether the first monitoring data is consistent with preset monitoring data. When the first monitoring data is inconsistent with the preset monitoring data, it marks the first monitoring point as the second monitoring point. It determines whether the target number is equal to the preset number. When the target number is not equal to the preset number, it confirms and acquires a first timestamp corresponding to the second monitoring point, where the first timestamp is the earliest time point in a unit of time where the electromagnetic intensity change is greater than a threshold. It acquires a second timestamp from multiple first timestamps, where the second timestamp is the timestamp corresponding to the earliest time point in the multiple first timestamps. The confirmation unit determines a third monitoring point based on the second timestamp and acquires a first location corresponding to the third monitoring point. It then performs fault location based on the first location, where the third monitoring point is the second monitoring point in the target monitoring set.

[0022] Optionally, the confirmation unit is used to confirm the second location corresponding to the second monitoring point when the target number is equal to the preset number, mark the second location as a fault state, and send the fault state to the target user so that the target user can process the second location according to the fault state.

[0023] Optionally, the acquisition unit is used to acquire the third location 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 location and the third location, where path association refers to a connection that can be made through a path, and path refers to a path starting from the first location; when there is a path association between the first location and the third location, the processing unit acquires the path relationship between multiple fourth locations and the first location, where each fourth location corresponds to one second monitoring point; the confirmation unit is used to confirm that if multiple fourth locations are all path-associated with the first location, the first location is marked as the source of the fault, and the first location is sent to the target user according to the source of the fault.

[0024] Optionally, the acquisition unit is used to acquire 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 is the source of the fault and the investigation is correct when the second monitoring data is consistent with the preset monitoring data.

[0025] 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 equipment failure state, power supply instability state and short circuit failure state.

[0026] 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 the 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 power outage state, equipment damage state, leakage state and partial discharge state.

[0027] Optionally, the acquisition unit is used to acquire the remaining lifespan and operating time of the target device, which can be any device in the low-voltage power distribution system; the processing unit is used to determine whether the remaining lifespan is greater than a preset value and whether the operating time is less than or equal to a preset duration; the confirmation unit is used to confirm that the target device is in a maintenance-pending state when the remaining lifespan is less than or equal to the preset value and the operating time is greater than the preset duration, generate preventive maintenance measures based on the maintenance-pending state, and send the preventive maintenance measures to the target user.

[0028] In a third aspect, this application provides an electronic device including 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, causing the electronic device to perform any of the methods described above in this application.

[0029] In a fourth aspect, this application provides a computer-readable storage medium storing instructions that, when executed, perform any of the methods described above in this application.

[0030] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0031] 1. Real-time monitoring of data from the first monitoring point in the low-voltage power distribution system (i.e., the first monitoring data) is compared with preset monitoring data. When the first monitoring data is found to be inconsistent with the preset monitoring data, 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. The first timestamp corresponding to the second monitoring point (i.e., the earliest time point when the electromagnetic intensity change is greater than the threshold within a unit of time) is confirmed, and the earliest timestamp is selected from multiple first timestamps as the second timestamp, thereby determining the initial location of the fault (i.e., the third monitoring point). This time-stamp-based precise fault location method is more accurate and faster than manual inspection and UPS-based alarm mechanisms, reducing the time and cost of manual on-site inspections and improving the efficiency of fault diagnosis.

[0032] 2. If the remaining lifespan of the target equipment is less than or equal to a preset value, and the operating time exceeds the preset duration, the system can automatically confirm that the equipment is in a maintenance-needed state. This helps maintenance personnel take timely measures to prevent equipment downtime due to malfunctions. Implementing preventative maintenance measures can significantly reduce equipment downtime rates, which helps ensure stable equipment operation and improves production efficiency and power quality. Attached Figure Description

[0033] Figure 1 This is a flowchart illustrating a fault monitoring method for a low-voltage power distribution system provided in an embodiment of this application;

[0034] Figure 2 This is a schematic diagram of the structure of a fault monitoring device for a low-voltage power distribution system provided in an embodiment of this application;

[0035] Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0036] Explanation of reference numerals in the attached drawings: 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 Implementation

[0037] To enable those skilled in the art 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 with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0038] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0039] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0040] In industrial production environments, the power demands of various electrical devices vary significantly. Low-voltage power distribution systems, with their high flexibility, can precisely adjust and switch according to different power needs, thus fully meeting the actual requirements of various power usage scenarios. This characteristic makes low-voltage power distribution systems play a crucial role in controlling assembly line production processes. During daily production, fault monitoring of low-voltage power distribution systems is a key aspect of ensuring stable system operation. Effective fault monitoring can promptly detect and identify potential faults or anomalies in the system, allowing for targeted repair or preventative measures to avoid adverse effects on the entire assembly line system.

[0041] However, current fault monitoring methods for low-voltage power distribution systems mainly rely on manual inspections or traditional alarm mechanisms based on uninterruptible power supplies (UPS). UPS-based fault detection schemes indirectly assess the overall health of the low-voltage power distribution system by monitoring changes in mains input status and UPS operating modes. However, both manual inspections and UPS-based alarm mechanisms can only provide preliminary fault assessments and cannot quickly and accurately pinpoint the fault source. This necessitates manual on-site inspections after a fault is discovered, resulting in low fault diagnosis efficiency.

[0042] Therefore, the challenge lies in effectively addressing the shortcomings of manual inspections and UPS-based alarm mechanisms in fault location and improving fault diagnosis efficiency. This application provides a fault monitoring method for low-voltage power distribution systems, applied in a monitoring platform. The monitoring platform of this application can be a platform providing fault monitoring services for low-voltage power distribution systems. Figure 1This is a flowchart illustrating a fault monitoring method for a low-voltage power distribution system provided in an embodiment of this application. (Refer to...) Figure 1 The method includes the following steps S101-S108.

[0043] S101: Obtain the first monitoring data corresponding to the first monitoring point, where the first monitoring point is any monitoring point in the low-voltage power distribution system.

[0044] In step S101 above, monitoring points can be set up at key locations or on equipment in the low-voltage power distribution system, and any one of these monitoring points can be selected as the first monitoring point. This monitoring point can be any location or piece of equipment, such as transformers, switchgear, and lines. Monitoring data from the monitoring point is collected in real time using sensors or monitoring equipment installed at the monitoring point. This data may include key parameters such as voltage, current, frequency, resistance, and insulation resistance. The collected monitoring data is recorded as the first monitoring data.

[0045] S102: Determine whether the first monitoring data is consistent with the preset monitoring data.

[0046] In step S102 above, when the low-voltage power distribution system is operating normally, the first monitoring data corresponding to the first monitoring point is acquired. Then, based on the equipment specifications, parameters, and historical data, a preset monitoring data range or threshold is set. The collected first monitoring data is compared with the preset monitoring data to determine whether they are consistent.

[0047] At this point, determining whether the first monitoring data is consistent with the preset monitoring data specifically includes: obtaining first operating data from the first monitoring data, which includes voltage, current, and temperature data; determining whether the first operating data is consistent with the preset first data; and confirming that the first monitoring data is in a first abnormal state when it is inconsistent with the preset first data. The first abnormal state includes equipment failure, unstable power supply, and short-circuit fault. Specifically, since the first monitoring data contains multiple parameters to reflect the operating status of the low-voltage power distribution system, key data directly related to system operation are extracted from the first monitoring data, including voltage, current, and temperature data. Data processing software or tools can be used to extract voltage, current, and temperature data from the first monitoring data, i.e., the first operating data. The preset first data refers to the numerical range or threshold that voltage, current, and temperature parameters should reach or maintain during normal operation of the low-voltage power distribution system. These data are usually determined based on the actual situation of the system, operation and maintenance experience, and industry standards, and are used to assess whether the system's operating status is normal. The extracted first operating data is compared with the preset first data to determine whether they are consistent. Consistent power distribution can be judged based on numerical ranges. When the initial operating data differs from the preset initial data, the system may be in a first abnormal state. First abnormal states include equipment failure, unstable power supply, and short-circuit faults. These abnormal states are often closely related to the system's operational safety, stability, and reliability, and require timely detection and handling. After determining that the initial monitoring data is in a first abnormal state, the first monitoring point in this state needs to be marked. Then, after fault monitoring is performed on all monitoring points, subsequent processing operations are executed based on the marking results.

[0048] Furthermore, when the first operating data matches the preset first data, it is confirmed that second operating data is extracted from the first monitoring data, and then it is determined whether the second operating data is in an abnormal state, thus achieving effective monitoring of the operating status of the low-voltage power distribution system. Specifically, this includes: obtaining second operating data from the first monitoring data, which includes frequency data, resistance data, and insulation resistance data; determining whether the second operating data matches the preset second data; and confirming that the first monitoring point is in a second abnormal state when the second operating data does not match the preset second data. The second abnormal state includes power outage, equipment damage, leakage, and partial discharge. Specifically, the specific parameters extracted from the first monitoring data, namely the second operating data, include frequency data, resistance data, and insulation resistance data. These data are crucial for evaluating the electrical performance and safety of the system. Frequency data, resistance data, and insulation resistance data are accurately extracted from the first monitoring data using data processing software or tools. The preset second data are thresholds or ranges for frequency, resistance, and insulation resistance set based on empirical values, industry standards, or safety specifications during normal operation of the low-voltage power distribution system. These data are used to assess whether the current operating status of the system is normal. The extracted second operating data is compared with preset second data to determine whether they are within the allowable error range or 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 a second abnormal state. That is, the low-voltage power distribution system may be in a second abnormal state, which includes power outage, equipment damage, leakage, and partial discharge. Second abnormal states pose a threat to the normal operation and safety of the system. Based on the specific manifestations of the abnormal data, it can be further determined which abnormal state the system may be in. For example, abnormal frequency data may indicate that the system is in a power outage; abnormal resistance data may indicate equipment damage or poor contact; abnormal insulation resistance data may indicate leakage or partial discharge in the system.

[0049] Furthermore, 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 real-time monitoring of the first monitoring point continues.

[0050] S103: When the first monitoring data is inconsistent with the preset monitoring data, the first monitoring point is marked as the second monitoring point.

[0051] In step S103 above, after acquiring the first monitoring data, which includes temperature data, voltage data, current data, frequency data, resistance data, and insulation resistance data, the first monitoring data is divided into first operating data and second operating data. The first operating data includes voltage data, current data, and temperature data, while the second operating data includes frequency data, resistance data, and insulation resistance data. The first and second operating data are sequentially evaluated. If either the first or second operating data is inconsistent with the preset monitoring data, it is assumed that the first monitoring data is inconsistent with the preset monitoring data, indicating a possible anomaly or fault at the first monitoring point. In this case, the first monitoring point is marked as the second monitoring point, indicating that further attention and processing are required. The same method is then used to check other monitoring points in the low-voltage power distribution system. If the monitoring data is inconsistent with the preset monitoring data, that monitoring point is marked as the second monitoring point.

[0052] S104: Obtain the number of targets at the second monitoring point in the target monitoring set, where the target monitoring set is a collection that contains the second monitoring point.

[0053] In step S104 above, a target monitoring set is created to accommodate all monitoring points marked as second monitoring points. After confirming that all monitoring points in the low-voltage power distribution system have been monitored, and comparing the monitoring data with preset monitoring data, the status of each monitoring point is determined based on the comparison results. The number of second monitoring points in the target monitoring set is counted, i.e., the target number. Obtaining the target number is to determine the number of monitoring points in abnormal states, facilitating subsequent fault location and repair.

[0054] S105: Determine whether the target quantity is equal to the preset quantity.

[0055] In S105 above, after obtaining the target quantity, the target quantity is compared with the preset quantity. The preset quantity is set based on the location and troubleshooting method and is used to determine how to locate the fault.

[0056] For example, the preset quantity can be set to 1, meaning that when only one monitoring point in the low-voltage power distribution system is in an abnormal state, the location of that monitoring point can be directly obtained, thereby locating 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 fault in one monitoring point has affected other monitoring points. Therefore, it is necessary to locate the source of the fault in order to repair it as soon as possible.

[0057] S106: When the number of targets is not equal to the preset number, confirm the acquisition of the first timestamp corresponding to the second monitoring point. The first timestamp is the earliest time point in which the change in electromagnetic intensity per unit time is greater than the threshold.

[0058] In S106 above, if the target quantity is not equal to the preset quantity, it indicates that multiple monitoring points are abnormal. At this time, it is necessary to obtain the first timestamp corresponding to each second monitoring point. The first timestamp refers to the earliest time point within a unit of time when the electromagnetic intensity change exceeds a threshold; it helps determine the time range of the fault occurrence. Since low-voltage power distribution systems generate electromagnetic wave signals when faults occur, these signals can be captured and analyzed by sensors. Signal processing technology is then used to analyze the captured electromagnetic wave signals 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. This time point is then correlated with the electromagnetic wave intensity so that when it is determined that the electromagnetic wave intensity change exceeds a threshold, the corresponding time point can be obtained. The threshold refers to the electromagnetic wave threshold, which is determined based on historical data to represent the electromagnetic wave intensity of each monitoring point under normal conditions. After obtaining the first electromagnetic wave intensity at a certain time point for the second monitoring point, the first electromagnetic wave intensity is compared with an 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 detected at that monitoring point at the current time point is a sudden electromagnetic wave. The time point corresponding to the sudden electromagnetic wave is then obtained and defined as the first timestamp. The first timestamp can also be understood as the timestamp corresponding to the first sudden change in the electromagnetic wave signal at each second monitoring point. By analyzing the electromagnetic intensity changes 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 and used as the first timestamp of that monitoring point.

[0059] S107: Obtain the second timestamp from multiple first timestamps, where the second timestamp is the timestamp corresponding to the earliest time point among the multiple first timestamps.

[0060] In step S107 above, the earliest time point from multiple first timestamps is selected as the second timestamp. The second timestamp represents the earliest time point when an anomaly occurs among all second monitoring points, and it is of great significance for determining the source of the fault. Therefore, when selecting the second timestamp, the multiple first timestamps are sorted according to their chronological order, and the timestamp corresponding to the first position in the sorting result is obtained.

[0061] S108: Determine the third monitoring point based on the second timestamp, obtain the first location corresponding to the third monitoring point, and locate the fault based on the first location. The third monitoring point is the second monitoring point corresponding to the target monitoring set.

[0062] In step S108 above, based on the second timestamp, the corresponding second monitoring point is found in the target monitoring set and designated as the third monitoring point. The third monitoring point is the earliest monitoring point to show an anomaly and is likely the source of the fault. Then, the first location corresponding to the third monitoring point is obtained. At this time, the first location is the specific location of the third monitoring point in the low-voltage power distribution system or information such as the sensor number.

[0063] Furthermore, fault location based on the first location specifically includes: obtaining the third location 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 and third locations, where a path association refers to a connection that can be established through a path, and the path refers to a path originating from the first location; when there is a path association between the first and third locations, obtaining the path relationships between multiple fourth locations and the first location, with each fourth location corresponding to one second monitoring point; if multiple fourth locations are all path-associated with the first location, confirming that the first location is marked as the fault source, and sending the first location to the target user based on the fault source. Specifically, the second monitoring point is obtained from the target monitoring set, and then the third location of the second monitoring point in the low-voltage power distribution system is obtained. The third location can be specific coordinates, equipment number, or relative position to a reference point, etc. The third location information corresponding to the second monitoring point is obtained through sensor numbers, etc. Since one potential source of failure, namely the first location, has been ruled out, it is necessary to compare the path associations between the first location and the locations of other monitoring points in the target monitoring set. Path association refers to a connection that can be established through a path, specifically a path originating from the first location. That is, a path that leads to other second monitoring points from the first location. This can also be understood as other second monitoring points requiring access from the third monitoring point, where the first location of the third monitoring point can be a critical node. System layout diagrams, equipment connection diagrams, and other data can be used to determine if a path association exists between the first and third locations. If the first and third locations can be connected by a path, then a path association exists. For example, if there is a path connecting the third and first locations, the first location is an upstream node or other node of the third location. Since there are multiple second monitoring points in the target monitoring set, multiple fourth locations corresponding to these second monitoring points are obtained, and then the path associations between these fourth locations and the first location are determined. Path association refers to whether all four fourth locations have a path association with the first location. If multiple fourth locations are all path-related to the first location, and the monitoring points corresponding to these fourth locations all exhibit abnormalities (such as abnormal current or voltage), then the first location can be considered the source of the fault. The source of the fault is the root cause of system abnormalities or faults, and therefore requires special attention and handling. The confirmed fault source information should be sent to the target user in an appropriate manner. This can be via SMS, email, telephone, or internal system notifications. Ensure that the target user receives the fault source information promptly and accurately so that further measures can be taken. This enables rapid location and confirmation of fault sources in low-voltage power distribution systems. This helps maintenance personnel take timely measures to eliminate faults and ensure the stable operation of the system.

[0064] Furthermore, after identifying the source of the fault in the low-voltage power distribution system, it is necessary to confirm whether the fault source investigation is feasible, thus achieving prior investigation and maintenance confirmation of the fault source in the low-voltage power distribution system. After a preset time interval, once it is confirmed that the target user has performed maintenance on the third monitoring point, the second monitoring data corresponding to the first monitoring point is obtained; it is then determined whether the second monitoring data is consistent with the preset monitoring data; if the second monitoring data is consistent with the preset monitoring data, the third monitoring point is confirmed as the fault source. Specifically, the preset time interval refers to the time interval after the target user completes the maintenance operation, waiting for a period of time to ensure the maintenance effect is stable before conducting subsequent monitoring. The target user can be maintenance personnel, management personnel, or related technical support teams, etc. The preset time should be determined based on the complexity of the maintenance work, the need for system restoration and stability, and actual maintenance experience. After the preset time expires, it is confirmed through system records, on-site inspection, or communication with the target user that the target user has completed the maintenance operation on the third monitoring point. It is ensured that the maintenance operation is carried out according to the established plan and requirements, and that no new problems or abnormalities occur during the maintenance process. At this point, the starting point for troubleshooting the fault source is re-monitored. This involves acquiring the second monitoring data from the first monitoring point. The second monitoring data refers to the data acquired at the first monitoring point used to assess the system's operating status; this data can be physical quantities such as current, voltage, and temperature. The second monitoring data is then compared with preset monitoring data, which refers to the range or threshold of monitoring data that should be acquired at the first monitoring point during normal system operation. The acquired second monitoring data is compared with the preset monitoring data to determine if they are consistent. If the second monitoring data is within the range of the preset monitoring data or meets the preset threshold conditions, they are considered consistent. When the second monitoring data is consistent with the preset monitoring data, it indicates that the low-voltage power distribution system's operating status 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 has already undergone maintenance, it can be confirmed that the third monitoring point is the correct source of the fault. The confirmation result is recorded in the operation and maintenance log or system for subsequent analysis and reference. Simultaneously, the confirmation result is fed back to relevant departments and personnel so they are aware of the progress and results of the fault investigation. Furthermore, if the second monitoring data is inconsistent with the preset monitoring data, it indicates that the initial investigation of the first location as the source of the fault was incorrect. The timestamps in the target monitoring set need to be re-acquired to determine a new source of the fault. Alternatively, the fifth location corresponding to each second monitoring point in the target monitoring set can be sequentially acquired and sent to the target user. This allows the target user to arrange for the corresponding personnel to visit the fifth location to investigate each second monitoring point and determine if the fault is due to equipment aging, leading to anomalies at multiple monitoring points in the low-voltage power distribution system.

[0065] Furthermore, when the target number equals the preset number, the second location corresponding to the second monitoring point is confirmed, the second location is marked as faulty, and the fault status is sent to the target user so that the target user can handle the second location according to the fault status. Specifically, the statistically obtained target number is compared with the preset number. If the target number equals the preset number, it means that the currently detected anomaly 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 location information corresponding to the second monitoring point is obtained, i.e., the second location. The second location can be a specific location description, number, or relative position of the second monitoring point to a certain reference point in the system. Because only one monitoring point has an anomaly, the second location is marked as faulty. Relevant information about the fault status is recorded, including the time, location, scope of impact, and possible causes of the fault. The target user can be maintenance personnel, management personnel, or relevant technical support teams. The fault status information is sent to the target user in an appropriate manner. The sending method can be SMS, email, telephone, or internal system notification, etc., to ensure that the target user can receive the fault status information in a timely and accurate manner. After receiving the fault status information, the target user needs to carefully read and understand its contents. The fault status and handling plan are then sent to the target user so they can proceed to the secondary location for repairs. Once the repair is complete, the results are reported back to the relevant responsible person or system.

[0066] In one possible implementation, in addition to routine real-time monitoring, the remaining lifespan and operating time of the equipment can be assessed. Based on the assessment results, preventive maintenance measures can be formulated to achieve effective monitoring and maintenance management of target equipment in the low-voltage power distribution system. Specifically, this includes: obtaining the remaining lifespan and operating time of any device in the low-voltage power distribution system; determining whether the remaining lifespan is greater than a preset value and whether the operating time is less than or equal to a preset duration; when the remaining lifespan is less than or equal to the preset value and the operating time is greater than the preset duration, confirming that the target equipment is in a maintenance-pending state, generating preventive maintenance measures based on the maintenance-pending state, 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, switchgear, capacitor bank, etc. Operating data of the device is collected in real time through sensors or monitoring systems installed on the target device. This data includes key performance indicators such as voltage, current, temperature, and vibration. Simultaneously, historical operating data of the device needs to be collected, including past fault records, maintenance records, performance test results, etc. The collected monitoring data is cleaned and preprocessed to remove noise and outliers, ensuring the accuracy and reliability of the data. The processed data is input into the remaining life assessment model. The model is used to predict the remaining life of the target equipment. This model can be an analysis model based on degradation curves, a threshold-based assessment model, or a data-driven prediction model. The remaining life of the target equipment is obtained based on the model's output. The runtime information of the target equipment is extracted from the monitoring data. This can be the continuous operating time since the last shutdown or the cumulative operating time throughout the equipment's lifespan. Based on the operating requirements and maintenance strategies of the low-voltage power distribution system, preset values ​​for the remaining life and preset runtime durations are set. The remaining life of the target equipment is compared with the preset values ​​to determine if it is less than or equal to the preset values. Simultaneously, the runtime of the target equipment is compared with the preset duration to determine if it is greater than the preset duration. If the remaining life of the target equipment is less than or equal to the preset values, and the runtime is greater than the preset duration, the target equipment is confirmed to be in a maintenance-needed state. Based on the specific conditions of the target equipment and the remaining life assessment results, targeted preventative maintenance measures are developed. These measures may include regular inspections, maintenance, component replacement, system upgrades, etc. The preventative maintenance measures are integrated into a specific maintenance plan, including maintenance time, maintenance content, required materials and tools, etc. Identify the personnel or team responsible for the maintenance of the target equipment as the target users. Send preventative maintenance measures and maintenance plans to the target users via email, SMS, telephone, or other communication methods. Ensure that the target users receive the relevant information in a timely manner and understand the specific content and requirements of the maintenance measures. Track the implementation of preventative maintenance measures by the target users to ensure that the maintenance plan is implemented correctly.This helps reduce the risk of equipment failure and improves system reliability and security. Furthermore, if the remaining lifespan is greater than a preset quantity and the running time is less than a preset duration, the target device is confirmed to be in normal operating condition, and monitoring of the target device continues.

[0067] This application also provides a fault monitoring device for a low-voltage power distribution system. Figure 2 This is a schematic diagram of the structure of a fault monitoring device for a low-voltage power distribution system provided in an embodiment of this application. (Refer to...) Figure 2 The device is a monitoring platform, which includes an acquisition unit 201, a processing unit 202, and a confirmation unit 203.

[0068] The acquisition unit 201 acquires the first monitoring data corresponding to the first monitoring point, where the first monitoring point is any monitoring point in the low-voltage power distribution system; and acquires the target number of the second monitoring points in the target monitoring set, where the target monitoring set is a set that accommodates the second monitoring points.

[0069] 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, the first monitoring point is marked as the second monitoring point; determines whether the target quantity is equal to the preset quantity; when the target quantity is not equal to the preset quantity, confirms the acquisition of the first timestamp corresponding to the second monitoring point, the first timestamp being the earliest time point in which the change in electromagnetic intensity within a unit of time is greater than the threshold; and acquires the second timestamp from multiple first timestamps, the second timestamp being the timestamp corresponding to the earliest time point among multiple first timestamps.

[0070] The confirmation unit 203 determines the third monitoring point based on the second timestamp and obtains the first location corresponding to the third monitoring point. The fault is located based on the first location. The third monitoring point is the second monitoring point corresponding to the target monitoring set.

[0071] In one possible implementation, the confirmation unit 203 is used to confirm the second location corresponding to the second monitoring point when the target number is equal to the preset number, mark the second location as a fault state, and send the fault state to the target user so that the target user can process the second location according to the fault state.

[0072] In one possible implementation, the acquisition unit 201 is used to acquire the third location corresponding to the 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 location and the third location, 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 location; when there is a path association between the first location and the third location, the path relationship between multiple fourth locations and the first location is acquired, where each fourth location corresponds to one second monitoring point; the confirmation unit 203 is used to confirm that the first location is marked as the source of the fault if multiple fourth locations are all associated with the first location, and to send the first location to the target user according to the source of the fault.

[0073] In one possible implementation, the acquisition unit 201 is used to acquire 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 is the source of the fault and the investigation is correct when the second monitoring data is consistent with the preset monitoring data.

[0074] In one possible implementation, the acquisition unit 201 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 202 is used to determine whether the first operating data is consistent with the 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 equipment failure state, power supply instability state and short circuit failure state.

[0075] In one 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 power outage state, equipment damage state, leakage state and partial discharge state.

[0076] In one possible implementation, the acquisition unit 201 is used to acquire the remaining lifespan and running time of the target device, which is any device in the low-voltage power distribution system; the processing unit 202 is used to determine whether the remaining lifespan is greater than a preset value and whether the running time is less than or equal to a preset duration; the confirmation unit 203 is used to confirm that the target device is in a maintenance-waiting state when the remaining lifespan is less than or equal to the preset value and the running time is greater than the preset duration, generate preventive maintenance measures based on the maintenance-waiting state, and send the preventive maintenance measures to the target user.

[0077] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0078] This application also discloses an electronic device. (See reference...) Figure 3 , Figure 3 This application provides a schematic diagram of the structure of an electronic device. 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.

[0079] The communication bus 305 is used to enable communication between these components.

[0080] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0081] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0082] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 302, and by calling data stored in memory 302. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and application requests; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 301 and may be implemented as a separate chip.

[0083] The memory 302 may include random access memory (RAM) or read-only memory. Optionally, the memory 302 may include a non-transitory computer-readable storage medium. The memory 302 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 302 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch functionality, sound playback functionality, image playback functionality, etc.), instructions for implementing the various method embodiments described above, etc. The data storage area may store data involved in the various method embodiments described above. Optionally, the memory 302 may also be at least one storage device located remotely from the aforementioned processor 301.

[0084] like Figure 3 As shown, the memory 302, which serves 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 low-voltage power distribution systems.

[0085] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and to obtain the user input data; while 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 performs one or more of the methods described in the above embodiments.

[0086] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0087] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some service interfaces; indirect couplings or communication connections between devices or units may be electrical or other forms.

[0089] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0090] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0091] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, 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. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0092] The above description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of other embodiments of this disclosure upon considering the specification and the disclosure of practical truths. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure.

Claims

1. A method of fault monitoring for a low voltage power distribution system, characterized by, The method is applied to a monitoring platform and comprises the following steps: acquiring first monitoring data corresponding to a first monitoring point, the first monitoring point being any one monitoring point in a 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; acquiring 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; determining whether the target number is equal to a preset number; when the target number is equal to the preset number, confirming that a second location corresponding to the second monitoring point is acquired, marking the second location as a fault state, and sending the fault state to a target user so that the target user processes the second location according to the fault state; when the target number is not equal to the preset number, confirming that a first timestamp corresponding to the second monitoring point is acquired, the first timestamp being a first time point at which electromagnetic intensity changes by more than a threshold value within a unit time; acquiring a second timestamp from a plurality of the first timestamps, the second timestamp being a timestamp corresponding to a first time point among the plurality of the first timestamps; determining a third monitoring point according to the second timestamp and acquiring a first location corresponding to the third monitoring point, and performing fault positioning according to the first location, the third monitoring point being a corresponding second monitoring point in the target monitoring set; the performing fault positioning according to the first location specifically comprises: acquiring a third location corresponding to the second monitoring point, the second monitoring point being any one monitoring point in the target monitoring set, the third location being a specific coordinate, a device number, or a relative location to a reference point; determining whether the first location and the third location are path-associated, the path association referring to an association relationship that can be connected through a path, the path referring to a path with the first location as a starting point; when the first location and the third location are path-associated, acquiring path relationships between a plurality of fourth locations and the first location, one fourth location corresponding to one second monitoring point; if the plurality of fourth locations are all path-associated with the first location, confirming that the first location is marked as a fault source, and sending the first location to the target user according to the fault source.

2. The method of claim 1, wherein, After the if the plurality of fourth locations are all path-associated with the first location, confirming that the first location is marked as a fault source, and sending the first location to the target user according to the fault source, the method further comprises: after a preset time interval, confirming that the target user has repaired the third monitoring point, acquiring 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 a fault source that is correctly ruled out.

3. The method of claim 1, wherein, the determining whether the first monitoring data is consistent with the preset monitoring data specifically comprises: Obtaining first operation data from the first monitoring data, the first operation data including voltage data, current data, and temperature data; Determining whether the first operation data is consistent with preset first data; When the first operation data is inconsistent with the preset first data, confirming that the first monitoring data is in a first abnormal state, the first abnormal state including a device failure state, a power supply instability state, and a short circuit failure state.

4. The method of claim 3, wherein, The determining whether the first monitoring data is consistent with preset monitoring data specifically includes: Obtaining second operation data from the first monitoring data, the second operation data including frequency data, resistance data, and insulation resistance data; Determining whether the second operation data is consistent with preset second data; When the second operation 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 failure state, a device damage state, a leakage state, and a partial discharge state.

5. The method of claim 1, wherein, In the method of determining a third monitoring point according to the second timestamp and obtaining a first position corresponding to the third monitoring point for fault positioning, the third monitoring point being after the second monitoring point corresponding to the target monitoring set, the method further includes: Obtaining a remaining life and a running time length of a target device, the target device being any one device in the low-voltage power distribution system; Determining whether the remaining life is greater than a preset value and whether the running time length is less than or equal to a preset time length; When the remaining life is less than or equal to the preset value and the running time length is greater than the preset time length, confirming that the target device is in a maintenance state, generating a preventive maintenance measure according to the maintenance state, and sending the preventive maintenance measure to the target user.

6. A fault monitoring device for a low voltage electrical power distribution system, characterized in that The device is a monitoring platform, which includes an obtaining unit (201), a processing unit (202), and a confirming unit (203); The obtaining unit (201) obtains first monitoring data corresponding to a first monitoring point, the first monitoring point being any one monitoring point in a low-voltage power distribution system; Obtaining a target number of 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 preset monitoring data; When the target number is equal to the preset number, confirming that a second position corresponding to the second monitoring point is obtained, marking the second position as a fault state, and sending the fault state to a target user, so that the target user processes the second position according to the fault state; when the first monitoring data is inconsistent with the preset monitoring data, marking the first monitoring point as a second monitoring point; determining whether the target number is equal to a preset number; When the target number is not equal to the preset number, a first timestamp corresponding to the second monitoring point is confirmed, the first timestamp being a first time point at which electromagnetic intensity changes by more than a threshold value in a unit time; a second timestamp is obtained from a plurality of the first timestamps, the second timestamp being a timestamp corresponding to a first time point in the plurality of the first timestamps; The confirmation unit (203) determines a third monitoring point according to the second timestamp, and obtains a first position corresponding to the third monitoring point, and performs fault positioning according to the first position, the third monitoring point being the second monitoring point corresponding in the target monitoring set; The fault positioning according to the first position specifically includes: obtaining a third position corresponding to the second monitoring point, the second monitoring point being any one monitoring point in the target monitoring set, and the third position being a specific coordinate, a device number, or a relative position to a certain reference point; determining whether the first position and the third position are path-associated, the path association being an association relationship that can be connected by a path, and the path being a path with the first position as a starting point; when the first position and the third position are path-associated, obtaining path relationships of a plurality of fourth positions and the first position, one fourth position corresponding to one second monitoring point; If the plurality of fourth positions are all path-associated with the first position, it is confirmed that the first position is marked as a fault source, and the first position is sent to the target user according to the fault source.

7. An electronic device, comprising: The electronic device (300) includes a processor (301), a memory (302), a user interface (303), and a network interface (304), the memory (302) is configured to store instructions, the user interface (303) and the network interface (304) are configured to communicate with other devices, and the processor (301) is configured to execute the instructions stored in the memory (302) to enable the electronic device (300) to perform the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions, when the instructions are executed, the method of any one of claims 1-5 is performed.

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