A power distribution cabinet remote control method based on user behavior analysis and an intelligent power distribution cabinet

Abstract

The application discloses a power distribution cabinet remote control method based on user behavior analysis and an intelligent power distribution cabinet, and relates to the technical field of intelligent power distribution control. The method comprises the following steps: reading historical equivalent safety behavior segments by using cabinet user behavior fingerprint, replacing the current abnormal behavior segments with the historical equivalent safety behavior segments for playback review, judging whether the current abnormality is induced by user behavior, obtaining candidate remote control instructions, performing user control offset risk prediction and electrical safety check on the candidate remote control instructions, and forming executable remote control instructions; the executable remote control instructions are sent to the power distribution cabinet control end and the execution state is read back to obtain remote control execution records, the cabinet user behavior fingerprint is corrected by using the remote control execution records, the control adaptation relationship is updated, and power distribution cabinet remote control closed-loop records are formed. The application achieves the effects of improving user behavior identification accuracy in a distributed control scene and reducing the risk of misloading, misopening and miswarning.

Description

Technical Field

[0001] This invention relates to the field of intelligent power distribution control technology, and in particular to a remote control method for power distribution cabinets based on user behavior analysis and an intelligent power distribution cabinet. Background Technology

[0002] With the development of intelligent power distribution control technology and distributed control technology, distribution cabinets are gradually transforming from traditional power distribution equipment into intelligent devices with capabilities for status acquisition, remote control, distributed collaboration, and operational feedback. Distribution cabinets can typically collect operational data such as feeder current, active power, cabinet temperature, leakage current, and circuit breaker status, and perform operations such as opening, closing, load limiting, and alarms based on control commands issued by a remote platform. In actual operation, user load start-up and shutdown, manual closing, remote confirmation, refusal to control, and load rebound after control directly affect feeder load changes. Combining user behavior, distribution cabinet operating status, and distributed control process analysis has become an important direction for improving the accuracy of remote control.

[0003] However, most existing remote control technologies for distribution cabinets still rely on electrical parameter exceeding limits, fixed threshold judgments, and manual remote commands. It is difficult to determine whether feeder anomalies are caused by actual user behavior or by common disturbances, non-homed feeder linkages, or accidental synchronous changes, which can easily lead to false load limits, false trips, and false alarms. At the same time, they usually only record whether the remote control was executed successfully, lacking continuous correction of user manual recovery, control rejection, and load rebound behaviors, which may lead to the repeated generation of remote control commands that are not compatible with user behavior. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a remote control method for power distribution cabinets based on user behavior analysis to solve the problem that remote control of power distribution cabinets is difficult to identify abnormalities induced by user behavior and continuously correct the control adaptation relationship.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a remote control method for distribution cabinets based on user behavior analysis, comprising: collecting real-time operation data of the distribution cabinet and user behavior-related data, performing unified time-scale calibration and cabinet route affiliation binding, and generating real-time user behavior data of the cabinet route; performing feeder-internal and external time-series reverse verification matching on the real-time user behavior data of the cabinet route, removing pseudo-behavioral changes that cannot continuously drive feeder operation changes, retaining real user behavior segments that have a sequential relationship with feeder load response, forming a user behavior traction trajectory, and then substituting the user behavior traction trajectory into the same feeder safe operation segment for substitution closure verification, thereby identifying behaviors that can change the remote control judgment path. Location is fixed as a user behavior fingerprint for the distribution cabinet; the user behavior fingerprint is used to read historical equivalent safe behavior segments, and the historical equivalent safe behavior segments are used to replace the current abnormal behavior segments for playback verification to determine whether the current abnormality is induced by user behavior, thereby obtaining candidate remote control commands. Then, user control offset risk prediction and electrical safety verification are performed on the candidate remote control commands to form executable remote control commands; the executable remote control commands are sent to the distribution cabinet control terminal and the execution status is read back to obtain the remote control execution record. The remote control execution record is then used to correct the user behavior fingerprint of the distribution cabinet and update the control adaptation relationship to form a closed-loop record of remote control of the distribution cabinet.

[0008] As a preferred embodiment of the remote control method for distribution cabinets based on user behavior analysis described in this invention, the real-time operating data of the distribution cabinet includes feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, protection action records, and remote command readback status.

[0009] User behavior-related data includes user load start / stop time, user historical electricity consumption periods, user manual circuit breaker closing records, user remote control confirmation records, user remote control rejection records, and load rebound records after control.

[0010] As a preferred embodiment of the remote control method for distribution cabinets based on user behavior analysis described in this invention, the specific steps for generating real-time user behavior data for the cabinet circuit are as follows:

[0011] Collect real-time operation data of the power distribution cabinet and user behavior-related data and write them into the same data queue to be calibrated according to the original occurrence time. Mark the change position of the consecutive data in the data queue to be calibrated. Take the position where the real-time operation data of the power distribution cabinet changes significantly as the electrical change anchor point and the position where the user behavior-related data changes operationally as the behavior change anchor point.

[0012] The behavior change anchor point is moved along the time axis to the position closest to the response of the electrical change anchor point, and the occurrence time of the user behavior association data is corrected with the moved position to generate unified time-stamped data. Then, based on the unified time-stamped data, it is determined whether a continuous operation response is generated on the corresponding feeder after the occurrence of the user behavior association data. The user behavior association data that generates a continuous operation response is bound to the corresponding feeder and merged with the real-time operation data of the corresponding distribution cabinet into the same cabinet circuit user record to form the cabinet circuit user behavior real-time data.

[0013] As a preferred embodiment of the remote control method for power distribution cabinets based on user behavior analysis described in this invention, the specific steps for forming the user behavior traction trajectory are as follows:

[0014] Based on the real-time data of user behavior in the cabinet, the location of the user behavior is determined. Then, the stable operation segment before the behavior and the response change segment after the behavior are extracted from the corresponding feeder with the location of the user behavior as the center. This generates a candidate traction segment to be proven against the behavior. Then, the load response change of the home feeder and the synchronous load change of the non-home feeder are read within the same time range. The candidate traction segment to be proven against the behavior that shows synchronous change in both the home feeder and the non-home feeder is identified as a common disturbance segment and is removed. The candidate traction segment to be proven against the behavior that only shows continuous response change in the home feeder is retained to generate a traction segment to be closed.

[0015] By using the traction segment to be closed, it is determined whether the load change of the feeder after the user behavior occurs continues to follow the user behavior change. The traction segment to be closed that cannot form continuous traction is identified as a pseudo behavior change, and the traction segment to be closed that can form continuous traction is identified as a real user behavior segment. Then, adjacent real user behavior segments are connected according to the order of user behavior occurrence, and the feeder response continuity relationship between adjacent real user behavior segments is preserved to form a user behavior traction trajectory.

[0016] As a preferred embodiment of the remote control method for distribution cabinets based on user behavior analysis described in this invention, the step of substituting the user behavior traction trajectory into the safe operation segment of the same feeder for replacement closure verification, and solidifying the behavior traction position that can change the remote control judgment path as the user behavior fingerprint of the cabinet circuit, is as follows:

[0017] Based on the user behavior traction trajectory, the behavior traction position and corresponding feeder to be verified are determined. Historical normal operation records of the same feeder that did not have protection action and no load rebound after control during similar power consumption periods are extracted from the real-time data of user behavior in the cabinet. The segments in the historical normal operation records that match the feeder operation status before the behavior traction position are selected as the same feeder safe operation segments. Then, the same feeder safe operation segments are used to replace the feeder response part after the corresponding behavior traction position in the user behavior traction trajectory to generate the alternative playback trajectory.

[0018] The remote control judgment process is re-executed using the alternative playback trajectory. The control status at each moment is re-judged according to the control trigger rules of the original judgment path to obtain the alternative judgment path. The alternative judgment path and the original judgment path are compared point by point within the same time window. The control trigger time offset, control action level difference, and control intensity difference of the alternative judgment path relative to the original judgment path are calculated to form a path change record. Then, the degree of change of the corresponding behavior traction position on the remote control judgment path is calculated based on the path change record to obtain the path change solidification value. The behavior traction position that reaches the solidification condition of the path change solidification value is bound to the corresponding feeder information to form the cabinet user behavior fingerprint.

[0019] As a preferred embodiment of the remote control method for power distribution cabinets based on user behavior analysis described in this invention, the specific steps for obtaining candidate remote control commands are as follows:

[0020] By matching the behavior traction location corresponding to the current anomaly using the user behavior fingerprint of the cabinet, and reading the feeder information and historical security playback basis bound to the corresponding behavior traction location, a historical equivalent security behavior fragment is obtained. The feeder response part in the current anomaly behavior fragment is replaced by the historical equivalent security behavior fragment, while keeping the feeder operation state before the current anomaly occurs unchanged, and a current anomaly security replacement fragment is generated.

[0021] Align the sampling points of the current abnormal safety replacement segment and the current abnormal behavior segment within the same time window, and determine the difference in load peak value and the difference in abnormal duration before and after the replacement; when the difference in load peak value is a decreasing difference and the difference in abnormal duration is a shortening difference, generate an abnormal triggering review record corresponding to the user behavior-induced abnormality, and match flexible load limiting and delay control actions; when the difference in load peak value does not reach the decreasing difference and the difference in abnormal duration does not reach the shortening difference, generate an abnormal triggering review record corresponding to the non-user behavior-induced abnormality, and match protection tripping and blocking alarm actions; bind the abnormal triggering review record with the corresponding control action to generate candidate remote control commands.

[0022] As a preferred embodiment of the remote control method for power distribution cabinets based on user behavior analysis described in this invention, the specific steps for generating executable remote control commands are as follows:

[0023] Based on the candidate remote control commands, read the historical offset behavior records of the corresponding user on the corresponding home feeder, and organize them according to the occurrence time to obtain the candidate command offset event chain. Then, based on the candidate command offset event chain, read the current operating status of the corresponding home feeder, and combine it with the historical readback change process after the same control action is executed to generate a candidate command execution deduction fragment.

[0024] The candidate instruction execution simulation fragment is used to verify whether the feeder current, cabinet temperature and leakage current after the candidate remote control instruction is executed meet the electrical safety requirements, and the instruction execution interlock confirmation value is calculated in combination with the candidate instruction cancellation event chain.

[0025] Based on the instruction execution interlock confirmation value, it is determined whether there are user control offset risks and electrical safety risks in the candidate remote control instructions. The control actions of the candidate remote control instructions are adjusted according to the judgment results to obtain the control actions to be executed. Then, the control actions to be executed, the home feeder, the execution time, the execution basis, and the readback requirements are written into the same instruction record to form an executable remote control instruction.

[0026] As a preferred embodiment of the remote control method for power distribution cabinets based on user behavior analysis described in this invention, the specific steps for obtaining the remote control execution record are as follows:

[0027] A one-time command token is generated based on the executable remote control command, and the one-time command token is sent to the control terminal of the power distribution cabinet along with the executable remote control command to obtain the command lock status;

[0028] By using the command lock state, the consistency between the current feeder operating status and the execution basis is checked at the control terminal of the distribution cabinet. When they are consistent, the repeated control entry of the feeder is locked. Then, the corresponding control action is triggered according to the execution time. The feeder load change and circuit breaker feedback change after the action are collected according to the readback requirements to form a closed readback chain.

[0029] A closed comparison is performed between the closed readback chain and the expected readback change to determine whether the feeder load change and circuit breaker feedback change in the closed readback chain are consistent with the expected readback change. The one-time command token, the closed readback chain, and the executable remote control command are then bound to form a remote control execution record.

[0030] As a preferred embodiment of the remote control method for power distribution cabinets based on user behavior analysis described in this invention, the specific steps for forming a closed-loop record for remote control of the power distribution cabinet are as follows:

[0031] Based on the one-time instruction token in the remote control execution record, the corresponding feeder and user number are determined, and the corresponding behavior traction position is matched in the user behavior fingerprint of the cabinet to obtain the fingerprint fragment to be corrected;

[0032] The fingerprint fragment to be corrected is used to perform deviation accounting on the difference between the closed readback chain and the expected readback change, and the execution deviation accounting record is obtained. It is then determined whether the remote control action has achieved the expected execution effect and whether there is any user control offsetting. Based on the judgment, the cabinet user behavior fingerprint is corrected.

[0033] Based on the corrected cabinet user behavior fingerprint, update the control adaptation relationship of the corresponding user on the corresponding feeder, and bind the remote control execution record, execution deviation settlement record and the corrected cabinet user behavior fingerprint to form a closed-loop record of remote control of the power distribution cabinet.

[0034] Secondly, the present invention provides an intelligent power distribution cabinet, which is remotely controlled using the aforementioned remote control method for power distribution cabinets based on user behavior analysis.

[0035] The beneficial effects of this invention are as follows: By performing time-series verification matching between the inside and outside of the feeder on real-time user behavior data of the cabinet circuit, and substituting the user behavior traction trajectory into the safe operation segment of the same feeder for substitution closure verification, the distinction between real user behavior segments and pseudo behavior changes is realized, thereby improving the accuracy of user behavior identification in distributed control scenarios and reducing the risks of false load limits, false trips, and false alarms; by using the user behavior fingerprint of the cabinet circuit to replay and verify historical safety segments, and combining it with risk mitigation prediction and electrical safety verification to form executable remote control commands, dual judgment of the current abnormality induction source and the validity of command execution is realized, thereby improving the accuracy of remote control commands, execution stability, and the operational safety of the distribution cabinet in the distributed control process. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart of a remote control method for power distribution cabinets based on user behavior analysis.

[0038] Figure 2 A flowchart for generating real-time data on user behavior in the cabinet system.

[0039] Figure 3 A flowchart for generating user behavior fingerprints for the counter system.

[0040] Figure 4 A flowchart for generating executable remote control commands.

[0041] Figure 5 A comparison chart of load peaks before and after replacing historical equivalent safety behavior segments.

[0042] Figure 6 The graph shows the changes in the number of closed-loop correction cycles and the number of miscontrols. Detailed Implementation

[0043] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0045] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0046] Reference Figures 1-6 This is one embodiment of the present invention, which provides a remote control method for a power distribution cabinet based on user behavior analysis, including the following steps:

[0047] S1. Collect real-time operating data of the distribution cabinet and user behavior-related data, perform unified time-scale calibration and cabinet route affiliation binding, and generate real-time user behavior data for the cabinet route.

[0048] The real-time operation data of the distribution cabinet is read from the metering equipment, temperature detection equipment, leakage current detection equipment, circuit breaker auxiliary contacts, protection devices, and remote command feedback records inside the distribution cabinet by the distribution cabinet control terminal. This yields feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, protection action records, and remote command feedback status. User behavior-related data is obtained from user-side electricity consumption records, manual operation records, and remote control interaction records. User load start-up and shutdown times, user historical electricity consumption periods, user manual closing records, user remote control confirmation records, user remote control rejection records, and load rebound records after control are extracted. The real-time operation data of the distribution cabinet and the user behavior-related data are written into the same data queue to be calibrated in chronological order of their original occurrence times.

[0049] In the same data queue to be calibrated, the changes are compared according to the sequential relationship of real-time operation data of two adjacent distribution cabinets. When the feeder current, feeder active power, cabinet temperature, and leakage current change continuously, the circuit breaker opening and closing status changes, the protection action record is added, or the remote command readback status changes, the corresponding position is marked as an electrical change anchor point. The operation is compared according to the sequential relationship of user behavior-related data of two adjacent distribution cabinets. When the load status corresponding to the user load start-up and shutdown time changes, the user manual closing record is added, the user remote control confirmation record is added, the user remote control rejection record is added, or the load rebound record after control is added, the corresponding position is marked as a behavior change anchor point.

[0050] The behavior change anchor point is moved forward and backward along the time axis, and after each movement, it is compared with the electrical change anchor point in terms of occurrence time and sequence of change. When the behavior change anchor point falls before the electrical change anchor point after the movement, and the user behavior associated data changes in operation and corresponds to the obvious change position in the real-time operation data of the distribution cabinet, the moved position is taken as the time of correction of the user behavior associated data, and the time of correction is written back to the user behavior associated data to generate unified time stamp data.

[0051] Based on the correction occurrence time in the unified time-stamped data, the real-time operation data of the distribution cabinets of each feeder within the corresponding time period is searched backward. First, it is determined whether there are continuous changes in feeder current, feeder active power, cabinet temperature, leakage current, or circuit breaker opening and closing status after the occurrence of user behavior-related data. The start time, direction, and duration of the continuous changes are correlated with the operation changes in user behavior-related data. When a feeder forms a continuous operation response after the occurrence of user behavior-related data, and the continuous operation response and the operation changes in user behavior-related data are sequential in time and correspond to each other in direction, the user behavior-related data is bound to that feeder. Then, the bound user behavior-related data is merged with the real-time operation data of the distribution cabinets near the same correction occurrence time into the same cabinet line user record. This ensures that the same cabinet line user record simultaneously contains user behavior-related data, the corresponding feeder continuous operation response, and the correction occurrence time. The cabinet line user records are arranged according to the correction occurrence time to form the cabinet line user behavior real-time data.

[0052] S2. Perform time-series verification matching on the real-time data of user behavior in the cabinet circuit, remove pseudo-behavioral changes that cannot continuously drive changes in feeder operation, retain the real user behavior segments that have a sequential relationship with the feeder load response, form user behavior traction trajectory, and then substitute the user behavior traction trajectory into the same feeder safe operation segment for substitution closure verification, and solidify the behavior traction position that can change the remote control judgment path into the cabinet circuit user behavior fingerprint.

[0053] The location of a user behavior is determined based on the correction time in the real-time data of user behavior in the distribution cabinet. Using the location of the user behavior as a boundary, the stable operation segment is extracted from the real-time operation data of the distribution cabinet of the assigned feeder before the behavior occurs, which includes feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening and closing status. The response change segment is extracted from the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening and closing status after the behavior occurs. The stable operation segment is used to characterize the operating basis of the assigned feeder before the user behavior occurs, and the response change segment is used to characterize the change process of the assigned feeder after the user behavior occurs. The stable operation segment and the response change segment are connected according to the location of the user behavior to generate a candidate traction segment to be refuted.

[0054] Within the same time frame of the candidate traction segment to be refuted, read the load response changes of the home feeder and simultaneously read the load response changes of the non-home feeder. When the home feeder and the non-home feeder both show load changes in the same direction at similar times, it indicates that the candidate traction segment to be refuted reflects the change process of multiple feeders being affected together. The candidate traction segment to be refuted is identified as a common disturbance segment and is removed. When the load response changes only occur continuously in the home feeder and the non-home feeder does not form a synchronous load change, it indicates that the candidate traction segment to be refuted can reflect the independent traction relationship of user behavior on the home feeder. The candidate traction segment to be refuted is retained and a traction segment to be closed is generated.

[0055] Starting from the location where the user behavior occurs in the traction segment to be closed, the response change segments after the behavior occur are checked in chronological order. The changes in feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening and closing status are compared with the corresponding operational changes in user load start-up and shutdown time, user manual closing record, user remote control confirmation record, user remote control rejection record, and load rebound record after control. When the change in the assigned feeder load continues continuously after the user behavior occurs, and the direction of change corresponds to the operational change of the user behavior, the traction segment to be closed is determined as a real user behavior segment. When the change in the assigned feeder load only occurs briefly, the direction of change is inconsistent with the operational change of the user behavior, or the change process cannot continue to the subsequent sampling position, the traction segment to be closed is stripped as a pseudo-behavior change. The real user behavior segments are arranged according to the time of correction. The response change segment of the previous real user behavior segment is continuously checked with the stable operation segment of the next real user behavior segment. The feeder response continuity that can be continuously connected is retained, and adjacent real user behavior segments are connected according to the order of user behavior occurrence to form a user behavior traction trajectory.

[0056] The starting positions of real user behavior segments are located one by one from the user behavior traction trajectory according to the time of correction. The operation change positions corresponding to user load start-up and shutdown, user manual closing, user remote control confirmation, user remote control rejection, and load rebound after control in the real user behavior segments are determined as the behavior traction positions to be verified. The belonging feeder bound to the behavior traction position is read along the user behavior traction trajectory. The historical cabinet user records corresponding to the same belonging feeder are searched in the real-time data of cabinet user behavior. The historical cabinet user records that have taken protection actions and those that have experienced load rebound after control are filtered out. The historical cabinet user records whose feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening and closing status are within the normal range during similar power consumption periods are retained and compiled into historical normal operation records.

[0057] The feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status before the behavior traction position are taken as the feeder operating status before the behavior traction position. Then, in the historical normal operation record, segments that are consistent with the feeder operating status change trend before the behavior traction position, consistent with the circuit breaker opening / closing status, have not experienced protection actions, and have not shown load rebound after control are searched. The selected segments are determined as the safe operation segments of the same feeder. The original part before the behavior traction position in the user behavior traction trajectory is retained, and the feeder response part after the behavior traction position is replaced with the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status change process of the corresponding time period in the safe operation segment of the same feeder. The segments before and after the replacement are reconnected according to the time sequence of the user behavior traction trajectory to generate a replacement playback trajectory.

[0058] It should be noted that similar electricity consumption periods refer to historical time intervals where the same user, on the same feeder line, has similar electricity consumption date type, intraday time location, and load operation characteristics. When two time intervals are in similar weekday or rest day types, similar morning and evening time periods, and the changes in feeder current, feeder active power, and circuit breaker opening and closing status are similar, they can be identified as similar electricity consumption periods.

[0059] The alternative playback trajectory is unfolded chronologically, and the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status are read moment by moment from the alternative playback trajectory. The control status corresponding to each moment is then re-evaluated according to the control triggering rules in the original judgment path. When a moment changes from non-triggered control to triggered control, the corresponding moment is recorded as the control trigger moment in the alternative judgment path. Simultaneously, the corresponding control action level is determined according to the control strength sequence of confirmation prompt, delayed control, flexible load limiting, protection tripping, and alarm blocking. The control strength is determined based on the execution intensity of the corresponding control action at that moment, and the process is repeated chronologically. The control status, control trigger time, control action level, and control intensity at each moment are sequentially organized to obtain alternative judgment paths. The alternative judgment paths and the original judgment paths are placed in the same time window, and the same sampling time is used as the reference position. The alternative judgment paths and the original judgment paths are compared point by point to see if the control is triggered at the same time, whether the triggered control action level is consistent, and whether the corresponding control intensity is consistent. The control trigger time offset value, control action level difference value, and control intensity difference value are obtained. The control trigger time offset value, control action level difference value, and control intensity difference value are mapped to the same behavior traction position to form a path change record.

[0060] When determining the degree of change of the behavior traction position on the remote control judgment path based on the path change record, the control trigger time offset value is used to reflect the degree of advance and lag of the triggering of the alternative judgment path relative to the original judgment path. The control action level difference value is used to reflect the magnitude of the change in control action of the alternative judgment path relative to the original judgment path. The control intensity difference value is used to reflect the difference in the execution intensity of the alternative judgment path relative to the original judgment path at each sampling time. The control trigger time offset value, control action level difference value, and control intensity difference value together form the path change solidification value. When the path change solidification value reaches the solidification condition, it indicates that after the feeder response part after replacing the behavior traction position in the same feeder safety operation segment, the remote control judgment path has undergone a identifiable change, and the corresponding behavior traction position has the function of changing the remote control judgment path. The behavior traction position that has reached the solidification condition, the corresponding feeder information, the path change record, and the path change solidification value are bound together to form the cabinet user behavior fingerprint.

[0061] It should be noted that the control triggering rule refers to the judgment rule based on feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, and protection action records to determine whether to execute prompt confirmation, delayed control, flexible load limiting, protection tripping, or alarm blocking; the fixed condition is that the fixed value of the path change exceeds the normal fluctuation boundary corresponding to the historical normal operation record of the same feeder. The normal fluctuation boundary is obtained by comparing and substituting the historical normal operation record that has not experienced protection action and has not shown load rebound after control; the feeder information refers to the corresponding feeder identification content actually bound to the user behavior association data, mainly including feeder number, distribution cabinet number, circuit breaker opening and closing status, feeder current, feeder active power, leakage current, protection action records, and remote command readback status.

[0062] The expression for calculating the offset value of the control trigger time is:

[0063] ;

[0064] in, This indicates the offset value for controlling the trigger time; Indicates the control trigger time; Indicates the control trigger moment in the alternative judgment path; Indicates an alternative decision path; Indicates the control trigger time in the original judgment path; This indicates the total duration of the same time window; This represents the minimum amount of time required to prevent the denominator from being zero.

[0065] It should be noted that both the numerator and denominator in this expression are time quantities, therefore This is a dimensionless value; the larger the value, the more significant the offset of the triggering time of the alternative judgment path relative to the original judgment path.

[0066] The expression for calculating the difference in control action levels is:

[0067] ;

[0068] in, This indicates the difference in the level of control actions; This represents the control action level code, used to convert different remote control actions into comparable numerical levels according to control intensity; This indicates the control action level code in the alternative decision path; This indicates the control action level code in the original decision path; Indicates the highest level of control action code; This is represented as the lowest level of control action code; This represents the smallest positive number that prevents the denominator from being zero.

[0069] It should be noted that the control action level code can be assigned values ​​in the order of control strength: prompt confirmation, delay control, flexible load limiting, protection tripping, and interlocking alarm. The expression as a whole is a dimensionless value.

[0070] The expression for calculating the control intensity difference is:

[0071] ;

[0072] in, Indicates the difference in control intensity; Indicates the intensity of control; This indicates the number of sampling points that participated in the control group within the same time window; Indicates the sampling point number; Indicates the alternative decision path in the th... The control intensity corresponding to each sampling point; This indicates that the original decision path is at the th . The control intensity corresponding to each sampling point; Indicates the maximum allowable control strength; This represents the smallest positive number that prevents the denominator from being zero.

[0073] It should be noted that both the numerator and denominator are control intensity quantities, and the expression is dimensionless.

[0074] The expression for calculating the change in curing value by the calculation path is:

[0075] ;

[0076] in, This indicates that the path has changed and the value has been fixed. This represents the natural exponential function.

[0077] It should be noted that since all three input items are dimensionless values, therefore It is also a dimensionless value, and its range is 0 ≤ <1; when The closer the value is to 0, the smaller the difference between the alternative judgment path and the original judgment path, and the corresponding behavior traction position should not be fixed as the user behavior fingerprint of the counter path; when The closer it is to 1, the more it indicates that the alternative judgment path has significantly changed the original judgment path, and the corresponding behavior traction position can be solidified as the user behavior fingerprint of the cabinet path.

[0078] S3. Use the user behavior fingerprint of the cabinet to read the historical equivalent security behavior fragments, and replace the current abnormal behavior fragments with the historical equivalent security behavior fragments for playback verification. Determine whether the current abnormality is induced by user behavior, obtain candidate remote control commands, and then perform user control offset risk prediction and electrical safety verification on the candidate remote control commands to form executable remote control commands.

[0079] In the current abnormal behavior segment, user behavior-related data and real-time operation data of the distribution cabinet are read. The operation change positions corresponding to the user load start-up and shutdown time, user manual closing record, user remote control confirmation record, user remote control rejection record, and load rebound record after control in the current abnormal behavior segment are matched with the fixed behavior traction positions in the cabinet user behavior fingerprint. The feeder number, distribution cabinet number, circuit breaker opening and closing status, feeder current, feeder active power, leakage current, protection action record, and remote command readback status corresponding to the current abnormal behavior segment are matched with the belonging feeder information bound in the cabinet user behavior fingerprint. When the operation change position in the current abnormal behavior segment is consistent with the behavior traction position in the cabinet user behavior fingerprint, and the belonging feeder corresponding to the current abnormal behavior segment is consistent with the belonging feeder information in the cabinet user behavior fingerprint, the behavior traction position corresponding to the current abnormality is determined. Then, the historical safety playback basis bound to the corresponding behavior traction position is read. The segment that matches the feeder operation status before the current abnormality occurred is selected from the historical safety playback basis to obtain the historical equivalent safety behavior segment.

[0080] The feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status before the current abnormal behavior segment are retained unchanged. Taking the behavior traction position corresponding to the current abnormality as the boundary, the feeder response part after the behavior traction position in the current abnormal behavior segment is replaced with the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status change process in the historical equivalent safe behavior segment. The feeder operating status before the current abnormality, the behavior traction position corresponding to the current abnormality, and the replaced feeder response part are connected in chronological order to generate the current abnormality safe replacement segment.

[0081] The current abnormal safety replacement segment and the current abnormal behavior segment are placed in the same time window and aligned point by point according to the same sampling time. Each sampling point corresponds simultaneously to the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status in the current abnormal safety replacement segment, as well as the feeder current, feeder active power, cabinet temperature, leakage current, and circuit breaker opening / closing status in the current abnormal behavior segment. After completing the sampling point alignment, the highest load position in the current abnormal behavior segment and the highest load position in the current abnormal safety replacement segment are read. The changes in the highest load before and after the replacement are compared to determine the load peak difference. Then, the start and end positions of the continuous existence of the abnormal state in the current abnormal behavior segment and the start and end positions of the continuous existence of the abnormal state in the current abnormal safety replacement segment are read. The changes in the duration of the abnormality before and after the replacement are compared to determine the difference in the duration of the abnormality. When the current abnormal safety replacement segment is relatively... When the current abnormal behavior segment is characterized by a decrease in load peak and a shortening of the abnormal duration, it indicates that the abnormal change in the current abnormal behavior segment can be mitigated by replacing it with a historical equivalent safe behavior segment. The current abnormality is then classified as a user behavior-induced abnormality, generating an abnormality triggering review record corresponding to the user behavior-induced abnormality, and matching flexible load limiting and delay control actions. Conversely, when the current abnormal safe replacement segment does not show a decrease in load peak and the abnormal duration is not shortened relative to the current abnormal behavior segment, it indicates that the abnormal change in the current abnormal behavior segment cannot be mitigated by replacing it with a historical equivalent safe behavior segment. The current abnormality is then classified as a non-user behavior-induced abnormality, generating an abnormality triggering review record corresponding to the non-user behavior-induced abnormality, and matching protection tripping and interlocking alarm actions. The abnormality triggering review record is then bound to the corresponding control action to generate candidate remote control commands.

[0082] It should be noted that the corresponding control actions include flexible load limiting and delay control actions under abnormalities induced by user behavior, as well as protection tripping and blocking alarm actions under abnormalities induced by non-user behavior.

[0083] like Figure 5 A comparison chart of load peak values ​​before and after replacing historical equivalent safe behavior segments is provided. The horizontal axis represents the current abnormal behavior segment sample number, and the vertical axis represents the load peak value. The dashed line represents the load peak value before replacement, and the solid line represents the load peak value after replacement. Figure 5 It is evident that, among the multiple current abnormal behavior segments, the overall load peak value after replacement with the historical equivalent safe behavior segment is lower than the load peak value before replacement. This indicates that replacing the feeder response portion in the current abnormal behavior segment with the historical equivalent safe behavior segment can effectively reduce the load peak value increase in user behavior-induced anomalies, thereby verifying the rationality of judging whether the current anomaly is induced by user behavior through the load peak value difference.

[0084] Based on the corresponding control action, corresponding feeder, and current abnormality behavior traction location in the candidate remote control commands, the user behavior correlation data of the same corresponding user on the same corresponding feeder is retrieved, and user manual closing records, user remote control confirmation records, user remote control rejection records, and post-control load rebound records that occurred before and after similar control actions are extracted. Records that can offset the execution effect of candidate remote control commands are compiled into historical offset behavior records. According to the chronological order of occurrence of historical offset behavior records, a time connection relationship is established between each user remote control rejection, user manual closing, and post-control load rebound and the corresponding control action to obtain the candidate command offset event chain.

[0085] Based on the candidate instruction cancellation event chain, the current feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening / closing status, protection action record, and remote instruction readback status of the corresponding feeder are read to form the current operating status of the corresponding feeder. From the historical records of the same corresponding feeder, the changes in feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening / closing status, and remote instruction readback status after the execution of the same control action are read. The current operating status of the corresponding feeder, the candidate instruction cancellation event chain, and the historical readback change process after the execution of the same control action are connected according to the execution sequence of the candidate remote control instructions to generate a candidate instruction execution deduction segment.

[0086] The peak values ​​of the feeder current, cabinet temperature, and leakage current after the execution of the candidate remote control command are read from the candidate command execution simulation segment and compared with the upper limits of the feeder current, cabinet temperature, and leakage current. If the peak values ​​of the feeder current, cabinet temperature, and leakage current do not exceed the upper limits of the safety limits, it indicates that the feeder current, cabinet temperature, and leakage current after the execution of the candidate remote control command meet the electrical safety requirements. The number of cancellation actions corresponding to user remote control rejection, user manual closing, and load rebound after control are counted from the candidate command cancellation event chain. The system reads the historical execution count of similar control actions on the corresponding feeder line and uses the proportions of the predicted feeder current peak relative to the feeder current safety limit, the predicted cabinet temperature peak relative to the cabinet temperature safety limit, the predicted leakage current peak relative to the leakage current safety limit, and the number of offset actions relative to the historical execution count of similar control actions as the basis for reduction to determine the command execution interlock confirmation value. The closer the predicted feeder current peak, predicted cabinet temperature peak, and predicted leakage current peak are to the corresponding safety limit, or the higher the proportion of offset actions in the historical execution count of similar control actions, the lower the command execution interlock confirmation value, and the less suitable it is to directly execute the candidate remote control command.

[0087] It should be noted that electrical safety requirements mean that after the execution of the candidate remote control command, the feeder current, cabinet temperature, and leakage current must not exceed the corresponding safety upper limit. The corresponding safety upper limit is determined by the rated current of the circuit breaker, the allowable operating temperature of the electrical components in the distribution cabinet, the operating current of the leakage protection device, and the setting value of the distribution cabinet operation protection.

[0088] The expression for calculating the instruction execution interlock confirmation value is:

[0089] ;

[0090] in, This indicates the instruction execution interlock confirmation value; This indicates confirmation of the interlocking mechanism; This represents the peak value of the feeder current after the candidate remote control command is executed. Indicates peak value; Indicates the safe upper limit of feeder current; This indicates the peak temperature inside the simulated cabinet after the candidate remote control command is executed; Indicates the upper limit of safe temperature inside the cabinet; This represents the estimated peak leakage current after the candidate remote control command is executed; Indicates leakage current; Indicates the safe upper limit of leakage current; Indicates the number of offset actions in the candidate instruction offset event chain; Indicates an act of offsetting; Indicates the number of times the same type of control action has been executed in the past; Indicates the number of times the operation was performed; This represents the smallest positive number that prevents the denominator from being zero.

[0091] It should be noted that, It is determined by the rated current of the corresponding feeder circuit breaker, the allowable current carrying capacity of the conductor, and the safety limit value in the operation protection setting of the distribution cabinet; It is determined by the allowable operating temperature of the electrical components inside the distribution cabinet, the heat dissipation conditions of the cabinet, and the safety limit value in the temperature protection setting; It is determined by the operating current of the leakage current protection device, the corresponding feeder insulation safety requirements, and the safety limit value in the leakage current protection setting value of the distribution cabinet.

[0092] When determining whether candidate remote control commands have user control offset risks and electrical safety risks based on command execution interlock confirmation values, the following steps are taken: First, the peak value of the feeder current, the peak value of the cabinet temperature, the peak value of the leakage current, the number of offset behaviors, and the number of historical executions of similar control actions corresponding to the command execution interlock confirmation value are read. Then, the feeder current, cabinet temperature, and leakage current in the candidate command execution simulation segment are reviewed to see if they meet electrical safety requirements. If the peak value of the feeder current, the peak value of the cabinet temperature, and the peak value of the leakage current are close to or exceed the corresponding safety limits, the candidate remote control command is judged to have electrical safety risks. If the number of offset behaviors corresponding to user remote control rejection, user manual closing, and load rebound after control in the candidate command offset event chain is high, resulting in a decrease in the command execution interlock confirmation value, the candidate remote control command is judged to have user control offset risks. If the feeder current, cabinet temperature, and leakage current meet electrical safety requirements, and the candidate command offset event chain does not show obvious offset behaviors, the corresponding control actions in the candidate remote control command are retained as control actions to be executed.

[0093] When adjusting the control actions of candidate remote control commands based on the judgment results, for candidate remote control commands that have user control offset risks but meet electrical safety requirements, the corresponding control actions are adjusted to prompt confirmation, delayed control, or flexible load limiting; for candidate remote control commands that have electrical safety risks, the corresponding control actions are adjusted to protection tripping or alarm blocking; for candidate remote control commands that have neither user control offset risks nor electrical safety risks, the corresponding control actions in the candidate remote control commands are retained to obtain the control actions to be executed; the control actions to be executed, along with the feeder, execution time, execution basis, and readback requirements, are written into the same command record. The execution basis includes the abnormal triggering review record, candidate command execution deduction fragment, and command execution interlocking confirmation value. The readback requirements include the feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, and remote command readback status after execution, forming an executable remote control command.

[0094] It should be noted that the judgment result refers to the judgment content of determining whether there is a user control offset risk and an electrical safety risk in the candidate remote control instruction based on the instruction execution interlock confirmation value, electrical safety requirements and candidate instruction offset event chain.

[0095] S4. Send executable remote control commands to the control terminal of the power distribution cabinet and read back the execution status to obtain the remote control execution record. Then, use the remote control execution record to correct the user behavior fingerprint of the cabinet and update the control adaptation relationship to form a closed-loop record of remote control of the power distribution cabinet.

[0096] Based on the pending control action, home feeder, execution time, execution basis, and readback requirements in the executable remote control command, a unique correspondence is formed according to the generation order of the command record, and this unique correspondence is written into a one-time command token, ensuring that the one-time command token corresponds to only one executable remote control command. The one-time command token is marked as unused and bound to the home feeder and execution time in the executable remote control command. The one-time command token is then sent to the distribution cabinet control terminal along with the executable remote control command. The distribution cabinet control terminal reads the home feeder, execution time, and pending control action corresponding to the one-time command token and verifies whether the one-time command token has been used and whether it matches the home feeder, execution time, and pending control action in the executable remote control command. When the one-time command token is unused and its content matches the executable remote control command, the duplicate control entry of the corresponding home feeder is temporarily locked, and the one-time command token is updated from the unused state to the pending execution state, resulting in a command lock state.

[0097] In the command lockout state, the distribution cabinet control terminal reads the feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening / closing status, protection action records, and remote command readback status of the assigned feeder at the current moment, compiles this into the current feeder operating status, and verifies the current feeder operating status against the execution basis in the executable remote control commands; it compares the feeder current, cabinet temperature, and leakage current in the current feeder operating status with the corresponding changes in the candidate command execution simulation segment for consistency; it verifies the protection action records and remote command readback status in the current feeder operating status against the anomaly triggering verification records; and it verifies the circuit breaker opening / closing status in the current feeder operating status against the pre-execution status required by the control action to be executed; when the current feeder operating status matches the execution basis, the command lockout state remains valid, and Locking the duplicate control entry of the assigned feeder prevents the same feeder from receiving duplicate control tasks again before the corresponding control action is executed. After the duplicate control entry of the assigned feeder is locked, the distribution cabinet control terminal triggers the corresponding control action according to the execution time in the executable remote control command. The corresponding control action includes the corresponding actions in prompt confirmation, delay control, flexible load limiting, protection tripping, and alarm blocking. After the corresponding control action is triggered, the distribution cabinet control terminal continuously collects the feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, and remote command readback status after the action according to the readback requirements. It also extracts the feeder load change and circuit breaker feedback change after the action from the collected content, and then binds the execution time, corresponding control action, feeder load change and circuit breaker feedback change after the action in chronological order to form a closed readback chain.

[0098] It should be noted that the readback requirement refers to the status information that needs to be collected and verified by the control terminal of the distribution cabinet after the execution of the remote control command. It mainly includes the feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, and remote command readback status after the action.

[0099] When performing a closed-loop comparison between the closed readback chain and the expected readback change, the comparison starting point is determined according to the execution time in the executable remote control command. The feeder load changes and circuit breaker feedback changes following the actions in the closed readback chain are then checked item by item against the direction of the feeder load changes, the duration of the feeder load changes, and the circuit breaker opening / closing feedback status in the expected readback changes, following the same time sequence. A close check is performed when the feeder load changes in the closed readback chain are consistent with the direction of the feeder load changes in the expected readback changes, the change processes correspond continuously, and the circuit breaker feedback changes correspond to the circuit breaker opening / closing status in the expected readback changes. When the feedback status is consistent, it is confirmed that the closed readback chain is consistent with the expected readback change; when the feeder load change in the closed readback chain does not occur as expected, or the circuit breaker feedback change does not reach the circuit breaker opening and closing feedback status in the expected readback change, it is confirmed that the closed readback chain is inconsistent with the expected readback change; the unused status corresponding to the one-time command token is updated to the executed status, and the one-time command token, closed readback chain, executable remote control command, and consistency verification content between the closed readback chain and the expected readback change are bound according to the execution time to form a remote control execution record.

[0100] It should be noted that the expected readback change refers to the direction of feeder load change, the duration of feeder load change, and the circuit breaker opening / closing feedback status that should occur after the execution of the executable remote control command. It is determined by the candidate command execution simulation segment, the control action to be executed, and the readback requirements.

[0101] Based on the one-time command token in the remote control execution record, the executable remote control commands bound to the one-time command token are retrieved, and the home feeder, execution time, execution basis, and readback requirements are read from the executable remote control commands. Based on the abnormal triggering review record in the execution basis, the corresponding user behavior association data is searched. The user load start / stop time, user manual closing record, user remote control confirmation record, user remote control rejection record, and load rebound record after control in the user behavior association data are matched with the cabinet user records in the cabinet user behavior real-time data to determine the corresponding user number. The one-time command token, home feeder, execution time, and user number are then associated. After determining the home feeder... After assigning the feeder and user number, the system searches for the user behavior fingerprint of the cabinet circuit according to the assigned feeder and user number. It then matches the execution time in the remote control execution record, the execution basis in the executable remote control command, the feeder load changes and circuit breaker feedback changes in the closed readback chain with the fixed behavior traction position in the cabinet circuit user behavior fingerprint. When the user behavior association data, the relationship between the assigned feeder and the execution time corresponding to the behavior traction position in the cabinet circuit user behavior fingerprint are consistent with the corresponding content in the remote control execution record, the matched behavior traction position, the path change record bound to the behavior traction position, the fixed path change value, and the assigned feeder information are extracted together to obtain the fingerprint segment to be corrected.

[0102] The behavior traction position, path change record, path change fixed value, and feeder information in the fingerprint segment to be corrected are associated with the closed readback chain in the remote control execution record. The feeder load change and circuit breaker feedback change in the closed readback chain are read according to the execution time and compared with the expected readback change in the executable remote control command. When there are differences between the feeder load change direction, feeder load change duration, circuit breaker feedback change and expected readback change, the difference is located at the behavior traction position in the fingerprint segment to be corrected and distinguished as feeder load change deviation, circuit breaker feedback change deviation, and readback consistency mark change. The behavior traction position, feeder information, closed readback chain, expected readback change, and difference content are bound to form an execution deviation accounting record.

[0103] When determining whether a remote control action has achieved the expected execution effect based on the execution deviation accounting record, the direction of feeder load change, the duration of feeder load change, and the circuit breaker feedback change in the closed readback chain are used as the judgment criteria. When the direction of feeder load change and the duration of feeder load change reach the expected readback change, and the circuit breaker feedback change reaches the opening and closing feedback state in the expected readback change, the remote control action is judged to have achieved the expected execution effect. When the remote control action has not achieved the expected execution effect, and the user behavior associated data of the remote control execution record shows user remote control refusal, user manual closing, and load rebound after control, it is judged that there is a user control offset situation. Based on the judgment content, the execution deviation accounting record is bound to the behavior traction position in the fingerprint segment to be corrected, and the path change record and path change fixed value bound to the behavior traction position are corrected to complete the correction of the cabinet user behavior fingerprint.

[0104] The corrected behavior traction position, path change record, path change fixed value, and home feeder information are read from the corrected user behavior fingerprint of the cabinet path. The original control adaptation relationship is located according to the corresponding user and corresponding home feeder. Whether the remote control action achieves the expected execution effect and whether there is user control cancellation are written into the corresponding control adaptation relationship. When the remote control action achieves the expected execution effect, the pending control action, execution time, and readback requirements matching the current behavior traction position of the corresponding user on the corresponding home feeder are retained. When the remote control action does not achieve the expected execution effect and user control cancellation exists, the pending control action matching the current behavior traction position of the corresponding user on the corresponding home feeder is... The corresponding actions in prompt confirmation, delay control, flexible load limiting, protection tripping, and interlocking alarms are adjusted to better suit the user behavior traction status, and the execution time and readback requirements are updated simultaneously to obtain the updated control adaptation relationship. The one-time command token, executable remote control command, closed readback chain, and readback consistency mark in the remote control execution record are bound with the feeder load change deviation, circuit breaker feedback change deviation, and user control offset status in the execution deviation settlement record, as well as the behavior traction position, path change record, path change fixed value, and affiliated feeder information in the corrected cabinet user behavior fingerprint, according to the corresponding user, corresponding affiliated feeder, and execution time, to form a closed-loop record of remote control of the distribution cabinet.

[0105] like Figure 6 This is a graph showing the changes in the number of closed-loop correction cycles and the number of erroneous controls. The horizontal axis represents the number of closed-loop correction cycles, the vertical axis represents the number of erroneous controls, and the three curves represent the number of erroneous load limits, erroneous trips, and erroneous alarms, respectively. Figure 6It is evident that as the number of closed-loop correction cycles increases, the number of false load limits, false trips, and false alarms all show a downward trend. This indicates that the remote control execution record can continuously correct the user behavior fingerprint of the cabinet after the execution deviation is settled, and further update the control adaptation relationship, thereby reducing the repeated generation of remote control commands that are not compatible with user behavior. This verifies the role of the power distribution cabinet remote control closed-loop record in improving the stability of remote control execution and the operational safety of the power distribution cabinet during distributed control.

[0106] In summary, this invention distinguishes between genuine user behavior segments and pseudo-behavior changes by performing time-series verification matching between the inside and outside of the feeder on real-time user behavior data and substituting the user behavior traction trajectory into the safe operation segment of the same feeder for substitution closure verification. This improves the accuracy of user behavior identification in distributed control scenarios and reduces the risks of false load limits, false trips, and false alarms. Furthermore, by using user behavior fingerprints to replay and verify historical safety segments and combining risk mitigation prediction and electrical safety verification to form executable remote control commands, this invention achieves dual judgment on the source of the current anomaly and the validity of command execution. This improves the accuracy, execution stability, and operational safety of remote control commands in distributed control processes.

[0107] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A remote control method for power distribution cabinets based on user behavior analysis, characterized in that, include: Collect real-time operating data of the power distribution cabinet and user behavior data, perform unified time-scale calibration and cabinet route binding, and generate real-time user behavior data of the cabinet route. Real-time data of user behavior in the cabinet is matched with the feeder internal and external time sequence to remove pseudo behavior changes that cannot continuously drive changes in feeder operation. The real user behavior segments that have a sequential relationship with the feeder load response are retained to form user behavior traction trajectory. Then, the user behavior traction trajectory is substituted into the same feeder safe operation segment for substitution closure verification. The behavior traction position that can change the remote control judgment path is solidified as the cabinet user behavior fingerprint. By using the user behavior fingerprint of the cabinet, historical equivalent safety behavior fragments are read and replaced with the current abnormal behavior fragments for playback and verification. It is determined whether the current abnormality is induced by user behavior, and candidate remote control commands are obtained. Then, user control offset risk prediction and electrical safety verification are performed on the candidate remote control commands to form executable remote control commands. The executable remote control commands are sent to the control terminal of the power distribution cabinet and the execution status is read back to obtain the remote control execution record. The remote control execution record is then used to correct the user behavior fingerprint of the cabinet and update the control adaptation relationship, forming a closed-loop record of remote control of the power distribution cabinet.

2. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 1, characterized in that, The real-time operating data of the distribution cabinet includes feeder current, feeder active power, cabinet temperature, leakage current, circuit breaker opening and closing status, protection action records, and remote command readback status. User behavior-related data includes user load start / stop time, user historical electricity consumption periods, user manual circuit breaker closing records, user remote control confirmation records, user remote control rejection records, and load rebound records after control.

3. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 2, characterized in that, The specific steps for generating real-time user behavior data for the cabinet are as follows: Collect real-time operation data of the power distribution cabinet and user behavior-related data and write them into the same data queue to be calibrated according to the original occurrence time. Mark the change position of the consecutive data in the data queue to be calibrated. Take the position where the real-time operation data of the power distribution cabinet changes significantly as the electrical change anchor point and the position where the user behavior-related data changes operationally as the behavior change anchor point. The behavior change anchor point is moved along the time axis to the position closest to the response of the electrical change anchor point, and the occurrence time of the user behavior association data is corrected with the moved position to generate unified time-stamped data. Then, based on the unified time-stamped data, it is determined whether a continuous operation response is generated on the corresponding feeder after the occurrence of the user behavior association data. The user behavior association data that generates a continuous operation response is bound to the corresponding feeder and merged with the real-time operation data of the corresponding distribution cabinet into the same cabinet circuit user record to form the cabinet circuit user behavior real-time data.

4. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 3, characterized in that, The specific steps for forming a user behavior guidance trajectory are as follows: Based on the real-time data of user behavior in the cabinet, the location of the user behavior is determined. Then, the stable operation segment before the behavior and the response change segment after the behavior are extracted from the corresponding feeder with the location of the user behavior as the center. This generates a candidate traction segment to be proven against the behavior. Then, the load response change of the home feeder and the synchronous load change of the non-home feeder are read within the same time range. The candidate traction segment to be proven against the behavior that shows synchronous change in both the home feeder and the non-home feeder is identified as a common disturbance segment and is removed. The candidate traction segment to be proven against the behavior that only shows continuous response change in the home feeder is retained to generate a traction segment to be closed. By using the traction segment to be closed, it is determined whether the load change of the feeder after the user behavior occurs continues to follow the user behavior change. The traction segment to be closed that cannot form continuous traction is identified as a pseudo behavior change, and the traction segment to be closed that can form continuous traction is identified as a real user behavior segment. Then, adjacent real user behavior segments are connected according to the order of user behavior occurrence, and the feeder response continuity relationship between adjacent real user behavior segments is preserved to form a user behavior traction trajectory.

5. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 4, characterized in that, The step of substituting the user behavior trajectory into the same feeder safety operation segment for replacement closure verification, and solidifying the behavior traction position that can change the remote control judgment path as the cabinet user behavior fingerprint, is as follows: Based on the user behavior traction trajectory, the behavior traction position and corresponding feeder to be verified are determined. Historical normal operation records of the same feeder that did not have protection action and no load rebound after control during similar power consumption periods are extracted from the real-time data of user behavior in the cabinet. The segments in the historical normal operation records that match the feeder operation status before the behavior traction position are selected as the same feeder safe operation segments. Then, the same feeder safe operation segments are used to replace the feeder response part after the corresponding behavior traction position in the user behavior traction trajectory to generate the alternative playback trajectory. The remote control judgment process is re-executed using the alternative playback trajectory. The control status at each moment is re-judged according to the control trigger rules of the original judgment path to obtain the alternative judgment path. The alternative judgment path and the original judgment path are compared point by point within the same time window. The control trigger time offset, control action level difference, and control intensity difference of the alternative judgment path relative to the original judgment path are calculated to form a path change record. Then, the degree of change of the corresponding behavior traction position on the remote control judgment path is calculated based on the path change record to obtain the path change solidification value. The behavior traction position that reaches the solidification condition of the path change solidification value is bound to the corresponding feeder information to form the cabinet user behavior fingerprint.

6. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 1 or 5, characterized in that, The specific steps for obtaining candidate remote control commands are as follows: By matching the behavior traction location corresponding to the current anomaly using the user behavior fingerprint of the cabinet, and reading the feeder information and historical security playback basis bound to the corresponding behavior traction location, a historical equivalent security behavior fragment is obtained. The feeder response part in the current anomaly behavior fragment is replaced by the historical equivalent security behavior fragment, while keeping the feeder operation state before the current anomaly occurs unchanged, and a current anomaly security replacement fragment is generated. Align the sampling points of the current abnormal safety replacement segment and the current abnormal behavior segment within the same time window, and determine the difference in load peak value and the difference in abnormal duration before and after replacement; When the load peak difference is a decreasing difference and the abnormal duration difference is a shortening difference, an abnormal triggering review record corresponding to the user behavior-induced abnormality is generated, and flexible load limiting and delay control actions are matched; when the load peak difference does not reach the decreasing difference and the abnormal duration difference does not reach the shortening difference, an abnormal triggering review record corresponding to the non-user behavior-induced abnormality is generated, and protection tripping and blocking alarm actions are matched; the abnormal triggering review record is bound with the corresponding control action to generate candidate remote control commands.

7. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 6, characterized in that, The specific steps for generating executable remote control commands are as follows: Based on the candidate remote control commands, read the historical offset behavior records of the corresponding user on the corresponding home feeder, and organize them according to the occurrence time to obtain the candidate command offset event chain. Then, based on the candidate command offset event chain, read the current operating status of the corresponding home feeder, and combine it with the historical readback change process after the same control action is executed to generate a candidate command execution deduction fragment. The candidate instruction execution simulation fragment is used to verify whether the feeder current, cabinet temperature and leakage current after the candidate remote control instruction is executed meet the electrical safety requirements, and the instruction execution interlock confirmation value is calculated in combination with the candidate instruction cancellation event chain. Based on the instruction execution interlock confirmation value, it is determined whether there are user control offset risks and electrical safety risks in the candidate remote control instructions. The control actions of the candidate remote control instructions are adjusted according to the judgment results to obtain the control actions to be executed. Then, the control actions to be executed, the home feeder, the execution time, the execution basis, and the readback requirements are written into the same instruction record to form an executable remote control instruction.

8. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 7, characterized in that, The specific steps for obtaining the remote control execution record are as follows: A one-time command token is generated based on the executable remote control command, and the one-time command token is sent to the control terminal of the power distribution cabinet along with the executable remote control command to obtain the command lock status; By using the command lock state, the consistency between the current feeder operating status and the execution basis is checked at the control terminal of the distribution cabinet. When they are consistent, the repeated control entry of the feeder is locked. Then, the corresponding control action is triggered according to the execution time. The feeder load change and circuit breaker feedback change after the action are collected according to the readback requirements to form a closed readback chain. A closed comparison is performed between the closed readback chain and the expected readback change to determine whether the feeder load change and circuit breaker feedback change in the closed readback chain are consistent with the expected readback change. The one-time command token, the closed readback chain, and the executable remote control command are then bound to form a remote control execution record.

9. The remote control method for power distribution cabinets based on user behavior analysis as described in claim 8, characterized in that, The specific steps for forming a closed-loop record for remote control of the power distribution cabinet are as follows: Based on the one-time instruction token in the remote control execution record, the corresponding feeder and user number are determined, and the corresponding behavior traction position is matched in the user behavior fingerprint of the cabinet to obtain the fingerprint fragment to be corrected; The fingerprint fragment to be corrected is used to perform deviation accounting on the difference between the closed readback chain and the expected readback change, and the execution deviation accounting record is obtained. It is then determined whether the remote control action has achieved the expected execution effect and whether there is any user control offsetting. Based on the judgment, the cabinet user behavior fingerprint is corrected. Based on the corrected cabinet user behavior fingerprint, update the control adaptation relationship of the corresponding user on the corresponding feeder, and bind the remote control execution record, execution deviation settlement record and the corrected cabinet user behavior fingerprint to form a closed-loop record of remote control of the power distribution cabinet.

10. An intelligent power distribution cabinet, characterized in that, The intelligent power distribution cabinet is remotely controlled using the power distribution cabinet remote control method based on user behavior analysis as described in any one of claims 1 to 9.

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