A residual current monitoring method and apparatus

Abstract

Embodiments of the present application disclose a residual current monitoring method and device. The method comprises: acquiring current data of a to-be-monitored area; determining an abnormal current and a first time instant of marking the abnormal current according to a difference between the current data and a first preset condition; determining a first preset time period after the first time instant and a second preset time period before the first time instant according to the first time instant; determining a current change value of the abnormal current in the first preset time period and a first weight value corresponding to a current type of the abnormal current according to the abnormal current; acquiring historical current data in the second preset time period and determining a second weight value of the historical current data; determining a current anomaly value according to the current change value, the first weight value and the second weight value, and predicting a residual current level of the to-be-monitored area according to the current anomaly value. The scheme realizes real-time evaluation of power system safety, and solves the problem that traditional monitoring technology cannot timely capture current dynamic changes.

Description

TECHNICAL FIELD

[0001] The embodiment of the application relates to the technical field of power systems, in particular to a residual current monitoring method and device. BACKGROUND

[0002] In a low-voltage power distribution system, residual current protection devices have been widely used to prevent electrical equipment leakage and electric shock accidents. As one of the important measures to ensure the safety of the power distribution network, the monitoring of residual current can effectively identify the leakage and other potential faults in the electrical line.

[0003] The existing residual current monitoring technology mainly relies on the fixed threshold judgment method, however, this single monitoring mode is difficult to cope with the dynamic changes in complex power grid environment, which is easy to cause false negatives or false positives, thereby reducing the safety and stability of the system. SUMMARY

[0004] The embodiment of the application provides a residual current monitoring method and device, which aims to solve the problem that the traditional current monitoring technology cannot timely capture current changes.

[0005] To achieve the above technical problems, the application adopts the following technical solutions:

[0006] In one aspect, the embodiment of the application provides a residual current monitoring method, comprising:

[0007] obtaining current data of a to-be-monitored area;

[0008] determining an abnormal current and a first time of marking the abnormal current according to the difference between the current data and a first preset condition;

[0009] determining a first preset time period after the first time and a second preset time period before the first time according to the first time;

[0010] determining a current change value of the abnormal current in the first preset time period and a first weight value corresponding to the current type of the abnormal current according to the abnormal current;

[0011] obtaining historical current data in the second preset time period and determining a second weight value of the historical current data;

[0012] determining a current anomaly value according to the current change value, the first weight value and the second weight value, and predicting a residual current level of the to-be-monitored area according to the current anomaly value.

[0013] In another aspect, the embodiment of the application provides a residual current monitoring device, comprising:

[0014] an acquisition module configured to obtain current data of a to-be-monitored area;

[0015] an abnormal current determination module configured to determine an abnormal current and a first time point of the abnormal current according to a difference between the current data and a first preset condition;

[0016] a stage division module configured to determine a first preset time period after the first time point and a second preset time period before the first time point according to the first time point;

[0017] a first weight determination module configured to determine a current change value of the abnormal current in the first preset time period and a first weight value corresponding to a current type of the abnormal current according to the abnormal current;

[0018] a second weight determination module configured to obtain historical current data in the second preset time period and determine a second weight value of the historical current data;

[0019] a residual current level determination module configured to determine a current anomaly value according to the current change value, the first weight value and the second weight value, and predict a residual current level of the to-be-monitored area according to the current anomaly value.

[0020] The technical scheme provided by the embodiment of the present application realizes real-time evaluation of the safety of the power system by comprehensively analyzing the current change, solves the problem that the traditional monitoring technology cannot timely capture the dynamic change of the current, reduces the risk of leakage and failure, and can improve the operation safety and stability of the power equipment. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical scheme in the embodiments of the present application, the drawings needed in the description of the embodiments of the present application will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained according to the contents of the embodiments of the present application and the drawings by those skilled in the art without creative labor.

[0022] Figure 1 is a flowchart of a residual current monitoring method provided by the embodiment of the present application;

[0023] Figure 2 is a flowchart of another residual current monitoring method provided by the embodiment of the present application;

[0024] Figure 3is a relationship diagram of the first preset time period and the second preset time period provided by the embodiment of the present application;

[0025] Figure 4 is a flow chart of another residual current monitoring method provided by the embodiment of the present application;

[0026] Figure 5 is a schematic diagram of a residual current monitoring device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0027] The present application will be further described below in conjunction with the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only the parts related to the present application are shown in the drawings, but not all the structures.

[0028] In the embodiment of the present application, the residual current refers to the difference between the current actually flowing through the electrical equipment or line and the current that should flow under ideal conditions in the electrical system. The residual current value usually reflects the current not passing through the load due to leakage, ground fault or other abnormal reasons, which can be obtained by measuring the current sensor, and the calculation formula is:

[0029] I 剩余 =I 入 -I 出

[0030] Among them, I 剩余 represents the residual current; I 入 represents the current flowing into the device; I 出 represents the current flowing out of the device.

[0031] Based on the above technical problems, the present embodiment proposes the following solutions:

[0032] Figure 1 is a flow chart of a residual current monitoring method provided by the embodiment of the present application. The present embodiment can be applicable to monitoring the safety of the power system. The method can be executed by a residual current monitoring device, which can be realized in the form of hardware and / or software, and can be configured in the power line. As shown in Figure 1 , the method comprises:

[0033] S110, acquiring current data of a to-be-monitored area.

[0034] Specifically, the to-be-monitored area refers to a specific area or device in the power system that needs to be monitored for current, which can include an area composed of one or more users or an area composed of one or more power devices. The current data refers to the current value measured in the to-be-monitored area, usually expressed in amperes (A), used to analyze the trend of current changes, determine the state of the device, and identify potential abnormal situations.

[0035] As an independent monitoring unit, the to-be-monitored area facilitates localized monitoring and management, and can obtain real-time current data of each monitoring area.

[0036] S120, according to the difference between the current data and the first preset condition, determining an abnormal current and a first time point of marking the abnormal current.

[0037] Specifically, the first preset condition refers to a pre-defined current threshold or standard during monitoring, used to determine the difference between normal current and abnormal current. The abnormal current refers to a current value that exceeds the normal range compared to the first preset condition, for example, excessively high or low current value. Identifying abnormal current helps to discover faults such as leakage and short circuit in time, ensuring the safe operation of the power system. The first time point refers to the specific time point when the abnormal current is detected during monitoring. After determining the first time point, subsequent time period analysis and data processing can be performed.

[0038] Accurate identification of the starting time of the abnormal current can timely capture potential problems in the power grid and provide key time nodes for subsequent analysis.

[0039] S130, according to the first time point, determining a first preset time period after the first time point and a second preset time period before the first time point.

[0040] Specifically, the first preset time period refers to a period of time starting from the first time point, used to analyze the changes of the abnormal current to evaluate the impact and trend of the abnormal current. The second preset time period refers to a period of time before the first time point, used to obtain historical current data. Historical current data helps to understand the normal operation state of the device in the to-be-monitored area and compare with the data at the abnormal time point.

[0041] S140, according to the abnormal current, determining a current change value of the abnormal current within the first preset time period and a first weight value corresponding to the current type of the abnormal current.

[0042] Specifically, the current change value refers to a specific change amount of the abnormal current in the first preset time period, which is used to evaluate the fluctuation degree of the current and judge the severity of the abnormality of the equipment in the to-be-monitored area. The first weight value is a weight coefficient of the current change value of the abnormal current in the first preset time period, which is used to give different importance to the change value when calculating the current abnormality value. By setting the size of the first weight value, the influence degree of the abnormal current on the subsequent analysis result can be adjusted, and the accuracy of the residual current monitoring device can be enhanced.

[0043] Determining the current change value of the abnormal current can quantify the change degree of the abnormal current and give a corresponding weight, which helps to evaluate the severity of the abnormality and improve the accuracy of the judgment.

[0044] S150, acquire historical current data in a second preset time period, and determine a second weight value of the historical current data.

[0045] Specifically, the historical current data refers to the current value recorded in the second preset time period, which reflects the change of the current in the normal state. The historical current data is used to compare with the current monitoring data to help identify the root cause of the abnormality. The second weight value refers to a weight coefficient related to the historical current data in the second preset time period, which is used to give different importance to the historical data when calculating the current abnormality value. By setting the second weight value, the sensitivity of the residual current monitoring device to the historical data can be improved, and the reliability of the abnormality detection can be enhanced.

[0046] S160, determine a current abnormality value according to the current change value, the first weight value and the second weight value, and predict the residual current level of the to-be-monitored area according to the current abnormality value.

[0047] Specifically, the current abnormality value refers to a value calculated by comprehensively considering the current change value, the first weight value and the second weight value, which reflects the comprehensive abnormality degree of the current in time and different conditions, and is an important indicator for evaluating the current safety state of the power grid. The residual current level refers to the residual flow state of the current in the monitoring area, which is usually used to evaluate the safety of the equipment or system. For example, the residual current level can include different levels such as low risk, medium risk and high risk.

[0048] By comprehensively considering the current change value, the weight value and the historical data, the abnormality degree of the current can be more accurately evaluated, and the residual current level of the to-be-monitored area can be effectively predicted, thereby improving the safety and reliability of the power grid operation.

[0049] The technical scheme provided by the embodiment of the application comprises the following steps: monitoring current data of a to-be-monitored area in real time, identifying abnormal current based on a first preset condition, marking a first time of the abnormal current, analyzing current changes before and after the time, calculating a weight value, determining a current abnormality value, and finally predicting a residual current level of the to-be-monitored area. The scheme realizes real-time evaluation of the safety of a power system through comprehensive analysis of current changes, solves the problem that traditional monitoring technology cannot timely capture dynamic changes in current, reduces the risk of leakage and failure, and can improve the safety and stability of power equipment operation.

[0050] Optionally, S120, determining the abnormal current and marking the first time of the abnormal current according to the difference between the current data and the first preset condition, can be further refined, comprising:

[0051] The current data is compared with a current abnormality threshold value, when the current data is greater than the current abnormality threshold value, the current data is marked as abnormal current, and the time corresponding to the marked abnormal current is recorded as the first time.

[0052] Specifically, the current abnormality threshold value refers to a current value preset in the power monitoring system, that is, the maximum residual current value allowed to flow through the system, which is used to judge whether the current is within a normal range. The current abnormality threshold value is determined based on safety standards, equipment types and power grid operation conditions. The current abnormality threshold value is compared with the current abnormality threshold value, if the residual current value exceeds the threshold value, it indicates that there is current abnormality in the monitoring area, and further enters the abnormal current analysis and processing process; if the residual current value does not exceed the threshold value, it is judged that the current is normal, and the routine monitoring is continued.

[0053] By reasonably setting the current abnormality threshold value, the sensitivity to current abnormality can be ensured. This setting can not only avoid false alarms, but also timely capture abnormalities when real danger occurs. At the same time, the positioning of current abnormality can be carried out at the monitoring area level, thereby reducing the workload of large-area investigation and improving the efficiency of fault diagnosis and elimination.

[0054] The technical scheme provided by the embodiment of the application comprises the following steps: monitoring current and residual current in real time by introducing a current abnormality threshold mechanism, ensuring the sensitivity to current abnormality, quickly and accurately judging whether there is current abnormality, and thereby improving the safety and reliability of power grid operation.

[0055] Optionally, after S120, determining the abnormal current and marking the first time of the abnormal current according to the difference between the current data and the first preset condition, further comprising:

[0056] The current data is compared with a current leakage threshold value, when the current data is greater than the current leakage threshold value, it is determined that leakage occurs in the to-be-monitored area, and leakage alarm information is sent.

[0057] Specifically, the electric leakage alarm information refers to the alarm information generated and sent by the system automatically when the current exceeds the set leakage threshold in the residual current monitoring device. The electric leakage alarm information can be sent in various ways, such as audible and visual alarm, short message, email or display through the monitoring system interface, etc. The electric leakage alarm information can contain information such as alarm type (such as electric leakage), occurrence time, specific location of the area to be monitored, real-time current data, leakage threshold, recommended response measures or processing steps, etc.

[0058] In the embodiment of the present application, the timely issuance of the electric leakage alarm information can enable the maintenance personnel to quickly locate the problem source, shorten the fault response time and effectively reduce the loss caused by the power grid accident.

[0059] Figure 2 is another flowchart of the residual current monitoring method provided by the embodiment of the present application. On the basis of the above-mentioned embodiment, S130 can be refined into S131, S132 and S133, and / or S140 can be refined into S141, S142, S143 and S144, as shown in Figure 2 The method comprises:

[0060] S110, acquiring current data of the area to be monitored.

[0061] S120, determining an abnormal current and a first time point of marking the abnormal current according to the difference between the current data and the first preset condition.

[0062] S131, acquiring input voltage data corresponding to the abnormal current, and extracting an input voltage value according to the input voltage data.

[0063] Specifically, the input voltage data refers to the voltage value corresponding to the abnormal current recorded during the monitoring of the residual current. The input voltage value refers to the voltage measurement value at a specific time extracted from the input voltage data, usually in volts (V).

[0064] S132, determining a first preset time period based on a preset current change coefficient and a time length function according to the input voltage value corresponding to the abnormal current and the first time point, and determining the duration of the abnormal current within the first preset time period.

[0065] Specifically, the preset current change coefficient refers to a preset value used to describe the current change trend, which can be set according to historical data or obtained by looking up a pre-set table. The time length function refers to a mathematical function used to describe the current change in a specific time period. For example, the time length function can be represented by the following formula:

[0066]

[0067] wherein, T c represents a time length value, i.e. the time length of the first preset time period; I b represents a marked current value, i.e. the current value corresponding to the marked abnormal current; T b represents a standard time length, which is usually set based on factors such as normal working conditions of the equipment, historical operation data and industry standards, reflecting the bearing capacity of the equipment to current or voltage fluctuations under normal circumstances; V s represents an input voltage value, and k represents a preset current variation coefficient.

[0068] The first time is the starting time of the first preset time period. According to the first time and the time length value determined by the time length function, the end time of the first preset time period can be determined, and then the first preset time period is determined.

[0069] Specifically, the duration of the abnormal current refers to the time length of the abnormal current remaining in the abnormal state within the first preset time period

[0070] S133, set the second preset time period with the first time as the end time; wherein the end time of the second preset time period and the starting time of the first preset time period are the same.

[0071] Specifically, Figure 3 is the relationship diagram of the first preset time period and the second preset time period provided by the embodiment of the present application. As Figure 3 shown, the second preset time period is a period of time before the first preset time period, which can reflect the historical change of the abnormal current in the first preset time period, so as to better understand and analyze the change trend of the abnormal current.

[0072] S141, at a preset collection frequency and a preset collection interval length, at least two residual current values in the first preset time period are obtained, and the residual current values are marked as current abnormal values.

[0073] Specifically, the preset collection frequency refers to the frequency of recording current data specified by the monitoring system or monitoring device in the residual current monitoring process, which is usually expressed in the number of times collected per second (such as Hz). The preset collection interval length refers to the time interval between two consecutive data points in the data collection process. The preset collection interval length determines the time resolution of data collection, which affects the capture accuracy of abnormal current change. The current abnormal value refers to the residual current value marked as abnormal in the first preset time period, which is used for further analysis and calculation of current variation value.

[0074] S142, according to the current abnormal value, the current variation value is determined based on the current variation function.

[0075] Specifically, the current change function refers to a mathematical function used to describe the characteristics of the change of the current in a certain period of time. For example, the current change function is:

[0076]

[0077] wherein I h represents the current change value; i represents the number of the plurality of current abnormal values; n represents the total number of the plurality of current abnormal values; G i represents the i-th current abnormal value; G i-1 represents the i-1-th current abnormal value.

[0078] The plurality of current abnormal values are input as input parameters into the current change function, and the function output result is the current change value, which reflects the fluctuation of the abnormal current in the first preset period of time. By introducing the concepts of data collection frequency and collection interval length, the change of the abnormal current can be dynamically monitored with high precision, ensuring that the instantaneous current fluctuation is captured.

[0079] S143, acquiring the current type of the abnormal current, the current type including sinusoidal alternating current type, pulsating direct current type or smooth direct current type.

[0080] Specifically, the current type refers to the characteristics and waveform of the current. Different types of current abnormalities reflect different possible faults or abnormal situations of the power grid. The sinusoidal alternating current type refers to the periodically changing alternating current with a sinusoidal waveform. The pulsating direct current type refers to the direct current with periodic fluctuations, which is usually derived from rectification or switching power supply. The smooth direct current type refers to the stable and less fluctuating direct current, which is usually used in direct current power supply systems.

[0081] S144, according to the current type of the abnormal current, determining the first weight value corresponding to the abnormal current based on the type weight table.

[0082] Specifically, the type weight table refers to a preset table listing the weight values corresponding to different current types, which reflect the importance of different current types in analysis and evaluation. For example, the higher the weight value, the greater the risk or harm of the type of current abnormality. The type weight table can be adjusted according to different power grid conditions, equipment characteristics and operation and maintenance strategies, so that it can adapt to different scenarios and improve the adaptability in the changing power grid environment. According to the current type, the weight value determined from the type weight table is used to calculate the first weight value of the abnormal current, which can enhance the accuracy of the analysis.

[0083] In the embodiment of the present application, the type weight table assigns different weight values to each current anomaly, so that the severity of the actual current type can be evaluated, improving the accuracy and precision of fault evaluation. By setting different weight values for different current anomaly types, risk priorities can be automatically set, ensuring that more dangerous anomalies can be quickly processed, improving the overall safety of the power distribution network.

[0084] S150, historical current data in a second preset time period is obtained, and a second weight value of the historical current data is determined.

[0085] S160, the current anomaly value is determined according to the current change value, the first weight value and the second weight value, and the residual current level of the to-be-monitored area is predicted according to the current anomaly value.

[0086] The technical scheme provided by the embodiment of the present application determines the first preset time period and the second preset time period by analyzing the abnormal current and the corresponding input voltage data, thereby effectively evaluating the change of the current and its duration. This method can monitor the current change in real time, improve the accuracy and timeliness of abnormal current detection, and solve the problem of lack of dynamic time period support in identifying and analyzing current anomalies in traditional current monitoring technology. This technical scheme not only enhances the evaluation ability of the power system safety, but also provides reliable data support for fault diagnosis and maintenance of power equipment.

[0087] Figure 4 is a flowchart of another residual current monitoring method provided by the embodiment of the present application. Based on the above-mentioned embodiment, S150 is refined, as shown in Figure 4 , the method comprises:

[0088] S110, obtaining current data of a to-be-monitored area.

[0089] S120, determining an abnormal current and a first time point of marking the abnormal current according to the difference between the current data and a first preset condition.

[0090] S130, determining a first preset time period after the first time point and a second preset time period before the first time point according to the first time point.

[0091] S140, determining a current change value of the abnormal current in the first preset time period and a first weight value corresponding to the current type of the abnormal current according to the abnormal current.

[0092] S151, obtaining historical current data in a second preset time period.

[0093] Specifically, by comparing the historical current data with the current abnormal current, the severity of the anomaly in the to-be-monitored area can be judged, and the mode and potential cause of the current change can be identified.

[0094] S152, obtaining at least two historical current values according to historical current data.

[0095] Specifically, the historical current value refers to a specific current measurement value obtained within the second preset time period, which is usually a plurality of current readings extracted from the historical current data.

[0096] S153, obtaining a current value corresponding to the time when the current is marked as abnormal, and marking it as a marked current value.

[0097] Specifically, the marked current value refers to the specific current measurement value corresponding to the time when the current is determined to be abnormal during the residual current monitoring.

[0098] S154, according to the historical current value and the marked current value, determining a second weight value corresponding to the historical current data based on a second weight function.

[0099] Specifically, the plurality of historical current values and the marked current value are input into the second weight function, and the second weight value is calculated. This weight value reflects the weight of the historical current data in the abnormal current judgment, and can further evaluate the severity and potential impact of the abnormal current. Exemplarily, the second weight value can be calculated by the following formula:

[0100]

[0101] Wherein, Y represents the second weight value; u represents the number of the plurality of historical current values; m represents the total number of the plurality of historical current values; H u represents the u-th historical current value; I b represents the marked current value.

[0102] S160, determining a current anomaly value according to the current change value, the first weight value and the second weight value, and predicting the residual current level of the to-be-monitored area according to the current anomaly value.

[0103] The technical scheme provided by the embodiment of the application can more accurately evaluate the current power grid condition and identify potential problems by introducing the second preset time period and the historical current data based on the historical trend to judge the nature of the abnormal current. The second weight function compares the historical current with the current abnormal current, and calculates the second weight value, which can more accurately determine whether the abnormal current is caused by historical accumulation effect. This method not only can analyze the current current abnormality, but also can evaluate the dynamic change trend of the entire power grid by combining historical data, which is helpful to find potential safety hazards in advance and implement preventive maintenance.

[0104] Optionally, S160, determining a current anomaly value according to the current change value, the first weight value and the second weight value, and predicting the residual current level of the to-be-monitored area according to the current anomaly value, comprising:

[0105] Based on the current anomaly function, the current change value, the duration of abnormal current, the first weight value and the second weight value are input into the current anomaly function to generate a current anomaly value; a multi-level current evaluation interval is obtained, wherein each level of the current evaluation interval corresponds to a residual current level; and the residual current level is determined according to the current anomaly value and the multi-level preset current evaluation interval.

[0106] Specifically, the current anomaly function refers to a mathematical model for comprehensive evaluation of the current change value, the duration, the first weight value and the second weight value. Exemplarily, the current anomaly function can be expressed by the following formula:

[0107] B = I h · T I · X· Y

[0108] Wherein, B represents the current anomaly value; I h represents the current change value; T I represents the duration; X represents the first weight value; and Y represents the second weight value.

[0109] The obtained current change value, duration, first weight value and second weight value are input into the current anomaly function, and the function output result is the current anomaly value. The current anomaly value reflects the comprehensive abnormality degree of the current under different time and different conditions, and is an important index for evaluating the current safety state of the power grid.

[0110] The multi-level current evaluation interval refers to an interval in which the residual current is divided into multiple levels according to a preset standard, and each interval corresponds to a specific residual current level. The multi-level current evaluation interval is usually set according to the power grid safety standard, and is used to define the risk level represented by different current anomalies. According to the calculated current anomaly value, the current anomaly value is compared with the multi-level current evaluation interval, and then the current residual current level is determined.

[0111] The technical scheme provided by the embodiment of the application can finely classify different degrees of current anomalies, thereby accurately predicting the residual current level of the power grid and improving the sensitivity of the early warning system.

[0112] Optionally, after determining the residual current level according to the current anomaly value and the multi-level preset current evaluation interval, the method further comprises:

[0113] Triggering and outputting residual current alarm information according to the current anomaly value and the residual current level.

[0114] Specifically, the residual current alarm information refers to the warning information generated and sent by the system after detecting the current anomaly and determining the residual current level, which is used to notify the relevant personnel.

[0115] In the embodiments of the present application, the automatic triggering of alarm information enables the power grid anomaly to be identified and handled at the earliest stage, thereby effectively preventing more serious power failures. By comprehensively considering multiple factors, the residual current monitoring method can more accurately assess and warn potential anomalies in complex power grid environments, ensuring the long-term stable operation of the power system and protecting the safety of users and equipment.

[0116] Optionally, before acquiring the current data of the to-be-monitored area, the method further comprises:

[0117] Acquiring the layout of lines and devices of the power distribution network, and dividing at least one monitoring area according to the layout of the lines and devices.

[0118] Specifically, the layout of lines and devices of the power distribution network refers to the specific positions and connection modes of various electrical devices (such as transformers, switches, circuit breakers, etc.) and cable lines in the power distribution system. The layout of lines and devices of the power distribution network can help identify the relative positions and functions of various devices, providing a basis for subsequent monitoring and fault analysis.

[0119] In the embodiments of the present application, by dividing the monitoring area and introducing multi-dimensional data (current, voltage, time, historical data, etc.), accurate monitoring of the low-voltage power distribution network can be achieved, and residual current anomalies can be detected in a timely manner, reducing the occurrence of power failures.

[0120] Figure 5 is a schematic diagram of a residual current monitoring device provided by an embodiment of the present application. As shown in Figure 5 The device comprises:

[0121] The acquisition module 210 is configured to acquire current data of a to-be-monitored area.

[0122] The abnormal current determination module 220 is configured to determine an abnormal current and a first time point of marking the abnormal current according to a difference between the current data and a first preset condition.

[0123] The stage division module 230 is configured to determine a first preset time period after the first time point and a second preset time period before the first time point according to the first time point.

[0124] The first weight determination module 240 is configured to determine a current change value of the abnormal current in the first preset time period and a first weight value corresponding to a current type of the abnormal current according to the abnormal current.

[0125] The second weight determination module 250 is configured to acquire historical current data in the second preset time period and determine a second weight value of the historical current data.

[0126] The residual current level determination module 260 is configured to determine a current abnormality value according to the current change value, the first weight value and the second weight value, and predict the residual current level of the to-be-monitored area according to the current abnormality value.

[0127] The residual current monitoring device provided by the embodiments of the present application can perform the residual current monitoring method provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the performing method.

[0128] It should be noted that the above are only the preferred embodiments of the present application and the technical principles applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and those skilled in the art can make various obvious changes, re-adjustments and substitutions without departing from the scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A residual current monitoring method, characterized by, The method comprises the following steps: obtaining current data of a to-be-monitored area; determining an abnormal current and a first time point of marking the abnormal current according to the difference between the current data and a first preset condition; determining a first preset time period after the first time point and a second preset time period before the first time point according to the first time point; determining a current change value of the abnormal current within the first preset time period and a first weight value corresponding to the current type of the abnormal current according to the abnormal current; obtaining historical current data within the second preset time period and determining a second weight value of the historical current data; determining a current anomaly value according to the current change value, the first weight value and the second weight value, and predicting a residual current level of the to-be-monitored area according to the current anomaly value.

2. The method of claim 1, wherein, The step of determining an abnormal current and a first time point of marking the abnormal current according to the difference between the current data and a first preset condition comprises the following steps: comparing the current data with a current abnormal threshold value, when the current data is greater than the current abnormal threshold value, the current data is marked as an abnormal current; and recording the time point of marking the abnormal current as the first time point.

3. The method of claim 2, wherein, After the step of determining an abnormal current and a first time point of marking the abnormal current according to the difference between the current data and a first preset condition, the method further comprises the following steps: comparing the current data with a current leakage threshold value, when the current data is greater than the current leakage threshold value, it is determined that the to-be-monitored area has a leakage, and a leakage warning information is sent.

4. The method of claim 1, wherein, The step of determining a first preset time period after the first time point and a second preset time period before the first time point according to the first time point comprises the following steps: obtaining input voltage data corresponding to the abnormal current, and extracting an input voltage value according to the input voltage data; determining a first preset time period based on a preset current change coefficient and a time function according to the input voltage value corresponding to the abnormal current and the first time point, and determining a duration of the abnormal current within the first preset time period; setting a second preset time period with the first time point as the end time point; wherein the end time point of the second preset time period and the start time point of the first preset time period are the same.

5. The method of claim 4, wherein, The step of determining a current change value of the abnormal current within the first preset time period and a first weight value corresponding to the current type of the abnormal current according to the abnormal current comprises the following steps: obtaining at least two residual current values within the first preset time period at a preset collection frequency and a preset collection interval, and marking the residual current values as current abnormal values; determining a current change value based on a current change function according to the current abnormal values; obtaining a current type of the abnormal current, the current type comprising a sinusoidal alternating current type, a pulsating direct current type or a smooth direct current type; determining a first weight value corresponding to the abnormal current based on a type weight table according to the current type of the abnormal current.

6. The method according to any one of claims 1 to 5, characterized in that, The step of obtaining historical current data within the second preset time period and determining a second weight value of the historical current data comprises the following steps: obtaining historical current data within the second preset time period; According to the historical current data, at least two historical current values are obtained; A current value corresponding to the time when the abnormal current is marked is obtained, and is marked as a marked current value; According to the historical current value and the marked current value, a second weight value corresponding to the historical current data is determined based on a second weight function.

7. The method of claim 4, wherein, According to the current change value, the first weight value and the second weight value, a current anomaly value is determined, and a residual current level of the to-be-monitored area is predicted according to the current anomaly value, including: Based on a current anomaly function, the current change value, the duration of the abnormal current, the first weight value and the second weight value are input into the current anomaly function to generate a current anomaly value; A plurality of current evaluation intervals are obtained, wherein each current evaluation interval corresponds to a residual current level; According to the current anomaly value and the plurality of preset current evaluation intervals, a residual current level is determined.

8. The method of claim 7, wherein, After determining the residual current level according to the current anomaly value and the plurality of preset current evaluation intervals, the method further includes: According to the current anomaly value and the residual current level, residual current alarm information is triggered and output.

9. The method of claim 1, wherein, Before obtaining the current data of the to-be-monitored area, the method further includes: Obtaining the layout of lines and devices of a power distribution network, and dividing at least one monitoring area according to the layout of the lines and the devices.

10. A residual current monitoring device, characterized in that Including: A current data obtaining module is configured to obtain current data of a to-be-monitored area; An abnormal current determining module is configured to determine an abnormal current and a first time when the abnormal current is marked according to a difference between the current data and a first preset condition; A stage dividing module is configured to determine a first preset time period after the first time and a second preset time period before the first time according to the first time; A first weight determining module is configured to determine a current change value of the abnormal current in the first preset time period and a first weight value corresponding to a current type of the abnormal current according to the abnormal current; A second weight determining module is configured to obtain historical current data in the second preset time period and determine a second weight value of the historical current data; A residual current level determining module is configured to determine a current anomaly value according to the current change value, the first weight value and the second weight value, and predict a residual current level of the to-be-monitored area according to the current anomaly value.

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