Residual current monitoring method and device

Abstract

The embodiment of the invention discloses a residual current monitoring method and device. The method comprises the following steps: acquiring current data of a to-be-monitored area; according to the difference between the current data and a first preset condition, determining an abnormal current and marking a first moment of the abnormal current; according to the first moment, determining a first preset time period after the first moment and a second preset time period before the first moment; according to the abnormal current, determining a current change value of the abnormal current and a first weight value corresponding to the current type of the abnormal current in a first preset time period; acquiring historical current data in a second preset time period, and determining a second weight value of the historical current data; and determining a current variation value according to the current variation 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 variation value. According to the scheme, the real-time evaluation of the safety of the power system is realized, and the problem that the traditional monitoring technology cannot capture the dynamic change of the current in time is solved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of power systems, and in particular to a residual current monitoring method and device. Background Art

[0002] In low-voltage power distribution systems, 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 distribution networks, residual current monitoring can effectively identify leakage and other potential faults in electrical lines.

[0003] Existing residual current monitoring technology mainly relies on fixed threshold judgment method. However, this single monitoring mode is difficult to cope with dynamic changes in complex power grid environments and is prone to missed reports or false alarms, thereby reducing the safety and stability of the system. Summary of the invention

[0004] The embodiments of the present invention provide a residual current monitoring method and device, aiming to solve the problem that the traditional current monitoring technology cannot capture the current change in time.

[0005] In order to achieve the above technical problems, the present invention adopts the following technical solutions:

[0006] On the one hand, an embodiment of the present invention provides a residual current monitoring method, including:

[0007] Obtaining current data of the area to be monitored;

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

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

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

[0011] Acquire historical current data within the second preset time period, and determine a second weight value of the historical current data;

[0012] A current abnormal change value is determined according to the current change value, the first weight value, and the second weight value, and a residual current level of the area to be monitored is predicted according to the current abnormal change value.

[0013] On the other hand, an embodiment of the present invention provides a residual current monitoring device, including:

[0014] An acquisition module, used for acquiring current data of the area to be monitored;

[0015] an abnormal current determination module, configured to determine an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition;

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

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

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

[0019] The residual current level determination module is used to determine the current abnormal change value according to the current change value, the first weight value and the second weight value, and predict the residual current level of the area to be monitored according to the current abnormal change value.

[0020] The technical solution provided by the embodiment of the present invention monitors the current data of the monitored area in real time, identifies abnormal current based on the first preset condition, marks the first moment of abnormal current, and then analyzes the current change before and after the moment, and finally predicts the residual current level of the monitored area by calculating the weight value and determining the current abnormal change value. The solution realizes real-time evaluation of the safety of the power system through comprehensive analysis of current changes, solves the problem that traditional monitoring technology cannot capture the dynamic changes of current in time, reduces the risk of leakage and failure, and can improve the safety and stability of power equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the contents of the embodiments of the present invention and these drawings without paying any creative work.

[0022] Figure 1 is a flow chart of a residual current monitoring method provided by an embodiment of the present invention;

[0023] Figure 2 is a flow chart of another residual current monitoring method provided by an embodiment of the present invention;

[0024] Figure 3is a relationship diagram between a first preset time period and a second preset time period provided in an embodiment of the present invention;

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

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

[0027] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0028] In the embodiment of the present invention, the residual current refers to the difference between the current actually flowing through the electrical equipment or line in the electrical system and the current that should flow under ideal conditions. The residual current value usually reflects the current that does not pass 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 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, this embodiment proposes the following solutions:

[0032] Figure 1 This is a flow chart of a residual current monitoring method provided by an embodiment of the present invention. This embodiment can be applied to monitoring the safety of a power system. The method can be executed by a residual current monitoring device. The residual current monitoring device can be implemented in the form of hardware and / or software. The residual current monitoring device can be configured in a power line. Figure 1 As shown, the method includes:

[0033] S110, obtaining current data of the area to be monitored.

[0034] Specifically, the monitored area refers to a specific area or equipment in the power system that needs to be monitored for current. It can include an area consisting of one or more users, or an area consisting of one or more power equipment. Current data refers to the current value measured in the monitored area, usually expressed in amperes (A), which is used to analyze the current change trend, determine the equipment status, and identify potential abnormal conditions.

[0035] As an independent monitoring unit, the monitored area is convenient for localized monitoring and management, and the current data of each monitoring area can be obtained in real time.

[0036] S120 . Determine an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition.

[0037] Specifically, the first preset condition refers to a current threshold or standard predefined during the monitoring process, which is used to determine the difference between normal current and abnormal current. Abnormal current refers to a current value that exceeds the normal range compared to the first preset condition, such as a current value that is too high or too low. Identifying abnormal current helps to promptly detect faults such as leakage and short circuit, and ensure the safe operation of the power system. The first moment refers to the specific time point when the abnormal current is detected during the monitoring process. After determining the first moment, subsequent time period analysis and data processing can be performed.

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

[0039] S130: Determine, according to the first moment, a first preset time period after the first moment and a second preset time period before the first moment.

[0040] Specifically, the first preset time period refers to a period of time starting from the first moment, which is used to analyze the change of abnormal current to evaluate the impact and trend of abnormal current. The second preset time period refers to a period of time before the first moment, which is used to obtain historical current data. Historical current data helps to understand the normal operating status of the equipment in the monitored area and compare it with the data at the abnormal moment.

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

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

[0043] Determining the current change value of the abnormal current can quantify the degree of change of the abnormal current and assign corresponding weights, which is helpful to evaluate the severity of the abnormality and improve the accuracy of the judgment.

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

[0045] Specifically, historical current data refers to the current value recorded within the second preset time period, which reflects the change of current under normal conditions. The historical current data is used to compare with the current monitoring data to help identify the root cause of the abnormal situation. The second weight value refers to the weight coefficient related to the historical current data within 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 historical data can be improved, and the reliability of abnormality detection can be enhanced.

[0046] S160, determining a current abnormal change value according to the current change value, the first weight value and the second weight value, and predicting a residual current level of the area to be monitored according to the current abnormal change value.

[0047] Specifically, the current abnormality value refers to the value calculated by integrating the current change value, the first weight value and the second weight value. This value reflects the comprehensive abnormality of the current under different conditions and is an important indicator for evaluating the current safety status 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 equipment or systems. Exemplarily, 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, weight value and historical data, the abnormality of the current can be evaluated more accurately and the residual current level in the monitored area can be effectively predicted, thereby improving the safety and reliability of power grid operation.

[0049] The technical solution provided by the embodiment of the present invention monitors the current data of the monitored area in real time, identifies abnormal current based on the first preset condition, marks the first moment of abnormal current, and then analyzes the current change before and after the moment, and finally predicts the residual current level of the monitored area by calculating the weight value and determining the current abnormal change value. The solution realizes real-time evaluation of the safety of the power system through comprehensive analysis of current changes, solves the problem that traditional monitoring technology cannot capture the dynamic changes of current in time, 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 the first moment of marking the abnormal current according to the difference between the current data and the first preset condition, may be further refined to include:

[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 moment corresponding to the marked abnormal current is recorded as the first moment.

[0052] Specifically, the current abnormality threshold refers to a current value pre-set in the power monitoring system, that is, the maximum residual current value allowed by the system to flow, which is used to determine whether the current is within the normal range. The current abnormality threshold is determined based on safety standards, equipment type, and grid operating conditions. The currently calculated residual current value is compared with the current abnormality threshold. If the residual current value exceeds the threshold, it indicates that there is a 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, the current is judged to be normal and regular monitoring continues.

[0053] By setting the current anomaly threshold reasonably, the sensitivity to current anomalies can be ensured. This setting can not only avoid false alarms, but also capture anomalies in time when real danger occurs. At the same time, the current anomaly can be located at the monitoring area level, thereby reducing the workload of large-scale inspections and improving the efficiency of fault diagnosis and troubleshooting.

[0054] The technical solution provided by the embodiment of the present invention introduces a current anomaly threshold mechanism to monitor and calculate the current and residual current in real time, thereby ensuring sensitivity to current anomalies and being able to quickly and accurately determine whether current anomalies exist, thereby improving the safety and reliability of power grid operation.

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

[0056] The current data is compared with the current leakage threshold. When the current data is greater than the current leakage threshold, it is determined that leakage occurs in the monitored area and a leakage alarm message is issued.

[0057] Specifically, leakage alarm information refers to the alarm information automatically generated and sent by the system when the current detected in the residual current monitoring device exceeds the set leakage threshold. Leakage alarm information can be sent in a variety of ways, such as sound and light alarm, SMS, email or display through the monitoring system interface. Leakage alarm information can include alarm type (such as leakage), occurrence time, specific location of the area to be monitored, real-time current data, leakage threshold, recommended countermeasures or processing steps, etc.

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

[0059] Figure 2 is a flow chart of another residual current monitoring method provided by an embodiment of the present invention. Based on the above embodiment, S130 may be further divided into S131, S132 and S133, and / or S140 may be further divided into S141, S142, S143 and S144. Figure 2 As shown, the method includes:

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

[0061] S120 . Determine an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition.

[0062] S131 . Acquire input voltage data corresponding to the abnormal current, and extract 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 residual current monitoring process. The input voltage value refers to the voltage measurement value at a specific moment extracted from the input voltage data, usually in volts (V).

[0064] S132. Determine a first preset time period according to the input voltage value corresponding to the abnormal current and the first moment, based on a preset current change coefficient and a time function, and determine 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 preset table. The duration function refers to a mathematical function used to describe the current change in a specific time period. Exemplarily, the duration function can be expressed by the following formula:

[0066]

[0067] Among them, T c Indicates the time length value, that is, the time length of the first preset time period; I b Indicates the marked current value, that is, the current value corresponding to the abnormal current; T b Indicates the standard duration, which is usually set based on the normal working conditions of the equipment, historical operating data, industry standards and other factors. It reflects the equipment's ability to withstand current or voltage fluctuations under normal circumstances. V s represents the input voltage value, and k represents the preset current change coefficient.

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

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

[0070] S133. Set a second preset time period with the first moment as the end moment; wherein the end moment of the second preset time period is the same as the start moment of the first preset time period.

[0071] Specifically, Figure 3 : is a relationship diagram of the first preset time period and the second preset time period provided by an embodiment of the present invention. Figure 3 As shown, the second preset time period is a period of time before the first preset time period, and can reflect the historical changes 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. Acquire at least two residual current values ​​within a first preset time period at a preset acquisition frequency and a preset acquisition interval, and mark the residual current value as a current abnormal value.

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

[0074] S142. Determine a current change value according to the abnormal current value and based on a current change function.

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

[0076]

[0077] Among them, I h represents the current change value; i represents the number of multiple current abnormal values; n represents the total number of multiple current abnormal values; G i represents the i-th current abnormal value; G i-1 Indicates the i-1th current abnormal value.

[0078] Multiple current anomaly values ​​are input as input parameters into the current change function. The function output is the current change value. The current change value reflects the fluctuation of the abnormal current within the first preset time period. By introducing the concepts of data acquisition frequency and acquisition interval length, the change of abnormal current can be dynamically monitored with high precision to ensure that instantaneous current fluctuations are captured.

[0079] S143. Obtain the current type of the abnormal current, where the current type includes a sinusoidal AC type, a pulsating DC type, or a smooth DC type.

[0080] Specifically, the current type refers to the characteristics and waveform of the current. Different types of current anomalies reflect different faults or abnormal conditions that may exist in the power grid. Sinusoidal AC type refers to periodically changing AC current with a sinusoidal waveform. Pulsating DC type refers to DC current with periodic fluctuations, usually from rectification or switching power supply. Smooth DC type refers to stable DC current with small fluctuations, usually used in DC power supply systems.

[0081] S144. Determine a first weight value corresponding to the abnormal current according to the current type of the abnormal current and based on a type weight table.

[0082] Specifically, the type weight table refers to a preset table that lists 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 abnormal current of this type. The type weight table can be adjusted according to different grid conditions, equipment characteristics and operation and maintenance strategies, so that it can adapt to different scenarios and improve adaptability in a changing 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 invention, the type weight table assigns different weight values ​​to each current anomaly, so that the severity can be evaluated according to the actual current type, improving the precision and accuracy of fault assessment. By setting different weight values ​​for different current anomaly types, the risk priority can be automatically set, thereby ensuring that more dangerous anomalies can be quickly handled, improving the overall safety of the distribution network.

[0084] S150: Acquire historical current data within a second preset time period, and determine a second weight value of the historical current data.

[0085] S160, determining a current abnormal change value according to the current change value, the first weight value and the second weight value, and predicting a residual current level of the area to be monitored according to the current abnormal change value.

[0086] The technical solution provided by the embodiment of the present invention determines the first preset time period and the second preset time period by analyzing the abnormal current and its 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 that traditional current monitoring technology lacks dynamic time period support when identifying and analyzing current anomalies. This technical solution not only enhances the ability to evaluate the safety of the power system, but also provides reliable data support for fault diagnosis and maintenance of power equipment.

[0087] Figure 4 FIG. 1 is a flow chart of another residual current monitoring method provided by an embodiment of the present invention. Based on the above embodiment, S150 is refined, such as Figure 4 As shown, the method includes:

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

[0089] S120 . Determine an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition.

[0090] S130: Determine, according to the first moment, a first preset time period after the first moment and a second preset time period before the first moment.

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

[0092] S151. Acquire historical current data within a second preset time period.

[0093] Specifically, by comparing historical current data with the current abnormal current, the severity of the abnormality in the monitored area can be determined, and the pattern and potential causes of the current change can be identified.

[0094] S152. Obtain at least two historical current values ​​according to the 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 historical current data.

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

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

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

[0099] Specifically, multiple historical current values ​​and marked current values ​​are input into the second weight function to calculate a second weight value, which 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 using the following formula:

[0100]

[0101] Wherein, Y represents the second weight value; u represents the serial number of the plurality of historical current values; m represents the total number of the plurality of historical current values; H u Represented as the uth historical current value; I b Indicates the marker current value.

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

[0103] The technical solution provided by the embodiment of the present invention, by introducing a second preset time period and historical current data, can more accurately evaluate the current power grid status and identify potential problems based on the historical trend to determine the nature of the abnormal current. The second weight function compares the historical current with the current abnormal current, and by calculating the second weight value, it can more accurately determine whether the abnormal current is caused by the historical accumulation effect. This method can not only analyze the current current anomaly, but also evaluate the dynamic change trend of the entire power grid in combination with historical data, which helps to discover potential safety hazards in advance and implement preventive maintenance.

[0104] Optionally, S160, determining a current abnormal change 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 abnormal change value, includes:

[0105] Based on the current variation 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 variation function to generate a current variation 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 variation value and the multi-level preset current evaluation interval.

[0106] Specifically, the current variation function refers to a mathematical model for comprehensively evaluating the current variation value, duration, first weight value, and second weight value. Exemplarily, the current variation function can be expressed by the following formula:

[0107] B=I h ·T I ·X·Y

[0108] Where B represents the current abnormal value; I h Represents the current change value; T I represents duration; X represents the first weight value; 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 variation function, and the function output is the current variation value. The current variation value reflects the comprehensive abnormality of the current at different times and under different conditions, and is an important indicator for evaluating the current safety status of the power grid.

[0110] The multi-level current assessment interval refers to the interval that divides the residual current into multiple levels according to the preset standard, and each interval corresponds to a specific residual current level. The multi-level current assessment interval is usually set according to the power grid safety standard to define the risk level represented by different current anomalies. According to the calculated current abnormality value, it is compared with the multi-level current assessment interval to determine the current residual current level.

[0111] The technical solution provided by the embodiment of the present invention can finely classify current anomalies of different degrees by setting multi-level current evaluation intervals, 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 abnormality value and the multiple preset current evaluation intervals, the method further includes:

[0113] According to the current abnormal value and residual current level, the residual current alarm information is triggered and output.

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

[0115] In the embodiment of the present invention, the automatic triggering of alarm information enables the grid anomaly to be identified and processed at the earliest stage, thereby effectively preventing more serious power failures. By comprehensively considering multiple factors, the residual current monitoring method can more accurately evaluate and warn potential anomalies in a complex grid environment, ensure the long-term stable operation of the power system, and protect the safety of users and equipment.

[0116] Optionally, before obtaining the current data of the area to be monitored, the method further includes:

[0117] The layout of the lines and equipment of the distribution network is obtained, and at least one monitoring area is divided according to the layout of the lines and equipment.

[0118] Specifically, the line and equipment layout of the distribution network refers to the specific location and connection method of each electrical device (such as transformers, switches, circuit breakers, etc.) and cable lines in the power distribution system. The line and equipment layout of the distribution network can help identify the relative position and function of each device, providing a basis for subsequent monitoring and fault analysis.

[0119] In the embodiment of the present invention, by dividing the monitoring area and introducing multi-dimensional data (current, voltage, time, historical data, etc.), accurate monitoring of the low-voltage distribution network can be achieved, residual current anomalies can be discovered in time, and the occurrence of power failures can be reduced.

[0120] Figure 5 Schematic diagram of a residual current monitoring device provided by an embodiment of the present invention. Figure 5 As shown, the device comprises:

[0121] The acquisition module 210 is used to acquire the current data of the area to be monitored.

[0122] The abnormal current determination module 220 is used to determine the abnormal current and the first time to mark the abnormal current according to the difference between the current data and the first preset condition.

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

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

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

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

[0127] The residual current monitoring device provided in the embodiment of the present invention can execute the residual current monitoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0128] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A residual current monitoring method, characterized in that: include: Obtaining current data of the area to be monitored; determining an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition; According to the first moment, determining a first preset time period after the first moment and a second preset time period before the first moment; Determine, according to the abnormal current, a first weight value corresponding to a current change value of the abnormal current and a current type of the abnormal current within the first preset time period; Acquire historical current data within the second preset time period, and determine a second weight value of the historical current data; A current abnormal change value is determined according to the current change value, the first weight value, and the second weight value, and a residual current level of the area to be monitored is predicted according to the current abnormal change value.

2. The method according to claim 1, characterized in that The step of determining the abnormal current and marking the first moment of the abnormal current according to the difference between the current data and the first preset condition comprises: 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. The moment corresponding to the abnormal current is recorded as the first moment.

3. The method according to claim 2, characterized in that After determining the abnormal current and marking the first moment of the abnormal current according to the difference between the current data and the first preset condition, the method further includes: 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 area to be monitored, and leakage alarm information is issued.

4. The method according to claim 1, characterized in that: The determining, according to the first moment, a first preset time period after the first moment and a second preset time period before the first moment includes: Acquiring input voltage data corresponding to the abnormal current, and extracting an input voltage value according to the input voltage data; According to the input voltage value corresponding to the abnormal current and the first moment, based on a preset current change coefficient and a time function, a first preset time period is determined, and the duration of the abnormal current is determined within the first preset time period; A second preset time period is set with the first moment as the end moment; wherein the end moment of the second preset time period is the same as the start moment of the first preset time period.

5. The method according to claim 4, characterized in that The determining, according to the abnormal current, a first weight value corresponding to a current change value of the abnormal current and a current type of the abnormal current within the first preset time period includes: Acquire at least two residual current values ​​within the first preset time period at a preset acquisition frequency and a preset acquisition interval, and mark the residual current values ​​as current abnormal values; According to the abnormal current value, based on the current change function, determining a current change value; Acquiring the current type of the abnormal current, wherein the current type includes a sinusoidal alternating current type, a pulsating direct current type, or a smooth direct current type; According to the current type of the abnormal current, based on a type weight table, a first weight value corresponding to the abnormal current is determined.

6. The method according to any one of claims 1 to 5, characterized in that: The acquiring of historical current data within the second preset time period and determining a second weight value of the historical current data includes: Acquiring historical current data within the second preset time period; Acquire at least two historical current values ​​according to the historical current data; Obtaining a current value corresponding to the abnormal current and marking it as a marked current value; According to the historical current value and the marked current value, based on a second weight function, a second weight value corresponding to the historical current data is determined.

7. The method according to claim 4, characterized in that The step of determining a current abnormal change 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 abnormal change value includes: Based on a current variation 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 variation function to generate a current variation value; Acquire multiple levels of current evaluation intervals, wherein each level of the current evaluation interval corresponds to a residual current level; The residual current level is determined according to the current abnormal change value and the multiple preset current evaluation intervals.

8. The method according to claim 7, characterized in that After determining the residual current level according to the current abnormal change value and the multiple preset current evaluation intervals, the method further includes: According to the current abnormality value and the residual current level, residual current alarm information is triggered and output.

9. The method according to claim 1, characterized in that: Before obtaining the current data of the area to be monitored, the method further includes: The layout of lines and equipment of the distribution network is obtained, and at least one monitoring area is divided according to the layout of the lines and the equipment.

10. A residual current monitoring device, characterized in that: include: An acquisition module, used for acquiring current data of the area to be monitored; an abnormal current determination module, configured to determine an abnormal current and a first time instant for marking the abnormal current according to a difference between the current data and a first preset condition; a stage division module, configured to determine, according to the first moment, a first preset time period after the first moment and a second preset time period before the first moment; A first weight determination module, configured to determine, according to the abnormal current, a first weight value corresponding to a current change value of the abnormal current and a current type of the abnormal current within the first preset time period; a second weight determination module, configured to obtain historical current data within the second preset time period and determine a second weight value of the historical current data; The residual current level determination module is used to determine the current abnormal change value according to the current change value, the first weight value and the second weight value, and predict the residual current level of the area to be monitored according to the current abnormal change value.

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