Low-voltage area monitoring method, device and equipment based on data platform and medium

Abstract

This invention relates to a low-voltage distribution area monitoring method, apparatus, equipment, and medium based on a data platform. The method includes: collecting current data from each node in a data ledger topology under a unified time reference, using a distribution rule for horizontal and vertical measurements; acquiring high-frequency carrier communication data between meter boxes and user meters; identifying the phases of each level of meter box based on the high-frequency carrier communication data to obtain the phase current of each node; determining the phase binding relationship of each node based on the phase current; summing the phase currents at each level based on the phase binding relationship; sampling the summed phase currents at preset sampling intervals to generate phase current time-series curves; and comparing the horizontal and vertical current data with the phase current time-series curves to obtain monitoring results based on the comparison results. This invention improves the accuracy of distribution area operation status monitoring.

Description

Technical Field

[0001] This invention belongs to the technical field of power distribution network monitoring, and in particular relates to a method, device, equipment and medium for monitoring low-voltage distribution areas based on a data platform. Background Technology

[0002] Currently, low-voltage distribution substations, as the final link in the power system, play a crucial role in transmitting electrical energy to users. To ensure the safety and reliability of substation operation, power companies generally need to monitor the electrical operating status of low-voltage substations, including the identification and verification of current, voltage, load distribution, and phase relationships.

[0003] Existing low-voltage distribution area monitoring methods typically rely on a single electricity meter to collect data or use carrier communication technology to identify the association between users and transformers. These methods depend on a single channel for data acquisition and topology identification, which can easily lead to problems such as incomplete data, inconsistent time synchronization, and insufficient accuracy of results.

[0004] The existing technical solutions mentioned above have the following drawbacks: existing low-voltage distribution area monitoring methods are easily limited to a single means in the process of data acquisition and topology identification, resulting in inaccurate reflection of the distribution area's operating status, and therefore there is room for improvement. Summary of the Invention

[0005] The purpose of this invention is to provide a low-voltage distribution area monitoring method, device, equipment, and medium based on a data platform, so as to solve the technical problem that the existing low-voltage distribution area monitoring methods do not accurately reflect the operating status of the distribution area.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for monitoring low-voltage distribution areas based on a data platform, the method comprising:

[0008] Under a unified time reference, current data of each node is collected from the ledger topology through the layout rules of horizontal and vertical measurement. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter.

[0009] The high-frequency carrier communication data between the meter box and the user's meter is acquired. Based on the high-frequency carrier communication data, the phase identification of each level of the meter box is performed to obtain the phase current of each node. Then, the phase binding relationship of each node is determined based on the phase current.

[0010] Based on the phase binding relationship, the phase currents at each stage are summed up step by step, and the summed phase currents are sampled according to a preset sampling interval to generate phase current time series curves;

[0011] The horizontal and vertical current data are compared with the phase current time sequence curves to obtain monitoring results based on the comparison results.

[0012] By adopting the above technical solutions and uniformly calibrating the fusion terminal and meter clock, the consistency of multi-point current acquisition in the time dimension can be ensured, thereby avoiding deviations in data comparison. By using high-frequency carrier communication data for phase identification, the phase assignment of each node can be quickly confirmed in a large-scale distribution area environment, thereby reducing the complexity of manual verification. By summing the phase currents step by step and generating time-series curves, the dynamic changes of distribution area current in both time and hierarchical dimensions can be reflected, thus facilitating anomaly detection and operational status analysis. Through horizontal and vertical comparisons, the calculation results can be cross-validated from different dimensions, thereby ensuring the overall reliability of the monitoring method.

[0013] In one example, the present invention can be further configured as follows: the current data of each node in the ledger topology is collected from the node layout rules through lateral and longitudinal measurements, including:

[0014] At the same sampling time, select lateral nodes located in different meter boxes or branch boxes, collect current data of the lateral nodes, and obtain lateral measurement data.

[0015] Longitudinal nodes at different levels, such as meter boxes, branch boxes, and transformers, are selected along the same electrical path, and current data of these longitudinal nodes are collected to obtain longitudinal measurement data.

[0016] By adopting the above technical solution, by collecting the current of the horizontal nodes at the same time, the current distribution pattern between different meter boxes at the same level can be revealed, thereby discovering whether there are abnormal deviations in the branches; by collecting the current of the vertical nodes on the same path, the current transmission relationship between the upper and lower levels can be shown, thereby determining whether the step-by-step aggregation satisfies the current conservation.

[0017] In one example, the present invention can be further configured as follows: the step of performing phase identification on each level of the meter box based on the high-frequency carrier communication data to obtain the phase current of each node, and then determining the phase binding relationship of each node based on the phase current, includes:

[0018] Extract meter box related information from the high-frequency carrier communication data, and call the preset power relationship file to parse the meter box related information;

[0019] Based on the analysis results, the current data of each node are divided into different phase categories to obtain the phase current;

[0020] The phase assignment of the initial node is determined based on the power relationship file, and the phase assignment of each node is determined step by step in combination with the phase current.

[0021] The phase binding relationship of each node in the ledger topology is generated based on the phase affiliation.

[0022] By adopting the above technical solutions, and by analyzing high-frequency carrier communication data and combining it with power supply records, the power supply relationship between the meter box and user nodes can be confirmed, thereby ensuring the accuracy of topology information. By dividing current data into phase categories, the corresponding binding between current and phase can be realized, thereby providing a clear data foundation for step-by-step summation and verification. By gradually deriving phase classification and generating phase binding relationships, a stable phase mapping can be formed throughout the entire station area, thereby avoiding phase confusion in subsequent analysis.

[0023] In one example, the present invention can be further configured such that: the step-by-step determination of the phase assignment of each node by combining the phase current includes:

[0024] Based on the phase assignment of the initial node, and the current transmission relationship between the initial node and adjacent nodes, the current distribution of the adjacent nodes is deduced and determined.

[0025] The current distribution is compared with the phase current of the adjacent nodes. If the comparison result meets the preset current conservation condition, the phase assignment of the adjacent nodes is determined. Then, the phase assignment of each node is obtained by recursively verifying the phase assignment of the adjacent nodes and the corresponding current transmission relationship.

[0026] By adopting the above technical solution, and by pushing the current allocation to adjacent nodes based on the initial node phase, the phase determination can be gradually extended from a small number of known points to the entire network, thereby realizing phase recursion within the topology range. By confirming the phase assignment of adjacent nodes when the comparison results meet the current conservation condition, the determination process can be ensured to have verification constraints, thereby reducing the risk of misjudgment and improving the accuracy of phase identification.

[0027] In one example, the present invention can be further configured as follows: based on the phase binding relationship, the phase currents at each stage are summed step by step, and the summed phase currents are sampled according to a preset sampling interval to generate a phase current time series curve, including:

[0028] The phase currents are summed step by step from bottom to top according to the phase binding relationship to obtain the phase currents aggregated step by step;

[0029] The phase currents aggregated step by step are sampled according to a preset sampling interval to generate corresponding phase current timing curves.

[0030] By adopting the above technical solution, the current transmission chain can be reconstructed at the topological level by summing the phase currents step by step, thereby accurately reflecting the aggregation relationship of currents at different levels; by generating time-series curves at fixed sampling intervals, the dynamic change law of current can be recorded, which facilitates abnormal trend monitoring and long-term operation status analysis.

[0031] In one example, the present invention can be further configured as follows: the step of summing the phase currents from bottom to top according to the phase binding relationship to obtain the phase currents aggregated step by step includes:

[0032] Under a unified time reference, the phase currents of sub-nodes at the same sampling time are summarized;

[0033] Based on the parent-child relationship of the ledger topology, the phase currents of the child nodes are summed up to the corresponding parent nodes step by step;

[0034] Based on the phase category, the phase currents corresponding to the same type of phase category are summed step by step.

[0035] By adopting the above technical solutions, the data synchronization during step-by-step summation can be guaranteed by summing the currents of child nodes at the same sampling time under a unified time reference, thereby avoiding calculation errors caused by time differences; by aggregating step-by-step according to the parent-child relationship, the current transmission can be kept consistent with the actual physical topology, thereby ensuring the authenticity of the aggregation results; by summing only the currents of the same phase, the mixing of data from different phases can be prevented, thereby maintaining the independence and accuracy of phase-by-phase data.

[0036] In one example, the present invention can be further configured as follows: comparing the horizontal and vertical current data with the phase current time-series curves to obtain monitoring results based on the comparison results includes:

[0037] The lateral measurement data is compared with the current value of the phase current time sequence curve at the same sampling time to obtain the lateral comparison result;

[0038] The longitudinal measurement data is compared with the current values ​​summed step by step along the same path by the phase current time sequence curve to obtain the longitudinal comparison result.

[0039] The monitoring results are obtained based on the horizontal comparison results and the vertical comparison results. The monitoring results include the correctness of the phase binding relationship and the stepwise summation results.

[0040] By adopting the above technical solution, the consistency of current between meter boxes at the same level can be verified by comparing horizontal measurement data with time-series curves, thereby discovering possible abnormal deviations between branches; by comparing vertical measurement data with the summation results at each level, it can be verified whether the current transmission satisfies the conservation relationship, thereby discovering anomalies in the upper and lower level links; by combining the horizontal and vertical comparison results for comprehensive judgment, a dual verification of topology and phase relationship can be formed, thereby improving the reliability and robustness of monitoring results.

[0041] In a second aspect, the present invention provides a low-voltage distribution area monitoring device based on a data platform, the device comprising:

[0042] A low-voltage distribution area monitoring device based on a data platform, the device comprising:

[0043] The time calibration module is used to collect current data of each node in the ledger topology under a unified time reference by means of horizontal and vertical measurement point layout rules. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter.

[0044] The phase identification module is used to acquire high-frequency carrier communication data between the meter box and the user's meter, identify the phase of each level of the meter box based on the high-frequency carrier communication data, obtain the phase current of each node, and then determine the phase binding relationship of each node based on the phase current.

[0045] The step-by-step summing module is used to sum the phase currents at each stage based on the phase binding relationship, and to sample the summed phase currents according to a preset sampling interval to generate the time-series curves of the phase currents.

[0046] The comparison and verification module is used to compare the horizontal and vertical current data with the phase current time sequence curves to obtain monitoring results based on the comparison results.

[0047] By adopting the above technical solutions and uniformly calibrating the fusion terminal and meter clock, the consistency of multi-point current acquisition in the time dimension can be ensured, thereby avoiding deviations in data comparison. By using high-frequency carrier communication data for phase identification, the phase assignment of each node can be quickly confirmed in a large-scale distribution area environment, thereby reducing the complexity of manual verification. By summing the phase currents step by step and generating time-series curves, the dynamic changes of distribution area current in both time and hierarchical dimensions can be reflected, thus facilitating anomaly detection and operational status analysis. Through horizontal and vertical comparisons, the calculation results can be cross-validated from different dimensions, thereby ensuring the overall reliability of the monitoring method.

[0048] In a third aspect, the present invention provides an electronic device including a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the low-voltage monitoring method based on a data middle platform.

[0049] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the low-voltage distribution area monitoring method based on a data middle platform.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] 1. By collecting the current of the horizontal nodes at the same time, the current distribution pattern between different meter boxes at the same level can be revealed, thereby discovering whether there are abnormal deviations in the branches; by collecting the current of the vertical nodes along the same path, the current transmission relationship between the upper and lower levels can be shown, thereby determining whether the step-by-step aggregation satisfies the current conservation.

[0052] 2. By analyzing high-frequency carrier communication data and combining it with power supply records, the power supply relationship between the meter box and user nodes can be confirmed, thereby ensuring the accuracy of topology information; by dividing current data into phase categories, the corresponding binding of current and phase can be realized, thus providing a clear data foundation for step-by-step summation and verification; by gradually deriving phase classification and generating phase binding relationships, a stable phase mapping can be formed throughout the entire station area, thereby avoiding phase confusion in subsequent analysis;

[0053] 3. By pushing current allocation to adjacent nodes based on the initial node phase, the phase determination can be gradually expanded from a small number of known points to the entire network, thereby realizing phase recursion within the topology range; by confirming the phase assignment of adjacent nodes when the comparison results meet the current conservation condition, the determination process can be ensured to have verification constraints, thereby reducing the risk of misjudgment and improving the accuracy of phase identification. Attached Figure Description

[0054] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0055] Figure 1 This is a flowchart of a low-voltage distribution area monitoring method based on a data platform in an embodiment of the present invention;

[0056] Figure 2 This is a flowchart illustrating the implementation of step S10 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0057] Figure 3This is a schematic diagram of the low-voltage outgoing line topology of the transformer substation area in an embodiment of the present invention;

[0058] Figure 4 This is a flowchart illustrating the implementation of step S20 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0059] Figure 5 This is a flowchart illustrating the implementation of step S23 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0060] Figure 6 This is a flowchart illustrating the implementation of step S30 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0061] Figure 7 This is a flowchart illustrating the implementation of step S31 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0062] Figure 8 This is a flowchart illustrating the implementation of step S40 in the low-voltage distribution area monitoring method based on a data platform in this embodiment of the invention.

[0063] Figure 9 This is a structural block diagram of a low-voltage monitoring device based on a data platform according to an embodiment of the present invention;

[0064] Figure 10 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0065] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0066] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0067] Example 1

[0068] S10: Under a unified time reference, current data of each node is collected from the ledger topology through the layout rules of horizontal and vertical measurement. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter.

[0069] Specifically, the system establishes a communication connection with each meter through the fusion terminal, obtains the local clock time of each meter, compares it with the standard time source, corrects any deviations, and ensures that the fusion terminal and the meters are under a unified time reference. For example, if the time of a meter is 3 seconds slower than the standard time, the system will automatically shift the timestamp of the collected data forward by 3 seconds, thereby ensuring that all meter data can be aligned at the same sampling time. After time alignment is completed, current data is collected according to the point-of-sale rules.

[0070] Furthermore, by accessing the power company's production management database, structural information such as the main transformer number, branch lines, meter box number, and user meter number of the distribution substation is obtained. This information is then organized in the data platform according to hierarchical relationships. For example, the main transformer is used as the root node, the branch lines and meter boxes are used as intermediate nodes, and the user meters are used as end nodes, thereby establishing a ledger topology that includes node numbers, hierarchical relationships, and basic attributes.

[0071] S20: Acquire high-frequency carrier communication data between the meter box and the user's meter, perform phase identification on each level of the meter box based on the high-frequency carrier communication data, obtain the phase current of each node, and then determine the phase binding relationship of each node based on the phase current.

[0072] Specifically, the carrier communication module of the fusion terminal extracts data fields from the high-frequency carrier communication messages returned by each meter, including the meter box number, phase identifier, access point number, etc., and compares this information with the power supply relationship in the maintenance file, thereby realizing the phase identification of the meter box.

[0073] S30: Based on the phase binding relationship, the phase currents of each stage are summed step by step, and the summed phase currents are sampled according to the preset sampling interval to generate phase current timing curves.

[0074] Specifically, after establishing the phase binding relationship, the current values ​​of each phase are summarized and calculated according to the hierarchical relationship of the ledger topology. For example, the A-phase current value of the user's meter is summed to its respective meter box, the A-phase current value of the meter box is summed to the branch line node, and finally summarized to the main transformer node to obtain the A-phase current aggregated step by step. On this basis, according to the preset sampling interval, such as once every 15 minutes, the current value is taken out and recorded as a sampling point. After continuous sampling, a phase current time series curve is formed.

[0075] S40: Compare the horizontal and vertical current data with the phase current timing curves to obtain monitoring results based on the comparison results.

[0076] Specifically, at a certain sampling time, the current data between meter boxes collected laterally is compared with the current value at the same sampling time on the time series curve. If they are consistent, it indicates that the lateral data is reasonable. At the same time, meter boxes and branch nodes of the same electrical path are selected in the longitudinal path, and their summed current data are compared with the current value of the corresponding path in the time series curve. For example, the sum of the currents of all meter boxes on a certain branch line should be equal to the current value of the branch line node in the time series curve. Through the dual comparison of lateral and longitudinal data, the correctness of the phase binding relationship and the summation result can be obtained.

[0077] In one embodiment, such as Figure 2 As shown, in step S10, the current data of each node is collected from the ledger topology according to the layout rules of horizontal and vertical measurements, including:

[0078] S11: Select lateral nodes located in different meter boxes or branch boxes at the same sampling time, collect the current data of the lateral nodes, and obtain lateral measurement data.

[0079] Specifically, such as Figure 3 As shown, lateral measurements are performed at measurement points FTM228-D01-Q1-F1, D01-Q2-F1, and D01-Q2-F2. These measurement points are distributed in different meter boxes at the same level, reflecting the current distribution of each branch under the same power supply path. During implementation, each measurement point is equipped with a current measuring device to collect phase A, phase B, phase C, and zero-sequence current respectively. By identifying and synchronously recording the three-phase data of each measurement point, a multi-point parallel lateral dataset can be formed at the same sampling time. For example, data acquisition is completed sequentially within the measurement cycles of 11:00, 11:15, 11:30, and 11:45. The data is cross-validated by combining the recorded images at the measurement points, thereby ensuring the authenticity and traceability of the lateral current acquisition.

[0080] S12: Select longitudinal nodes at different levels, such as meter boxes, branch boxes, and transformers, on the same electrical path, collect current data from the longitudinal nodes, and obtain longitudinal measurement data.

[0081] Specifically, such as Figure 3As shown, longitudinal measurements were performed at locations such as FTM228-D01-Q2, D01-Q2-F1, and D01-Q2-F2. These measurement points are located at different electrical levels along the same path, reflecting the distribution pattern of current during the step-by-step transmission process. Each measurement point is also equipped with a current acquisition device to obtain the instantaneous values ​​of phase A, phase B, phase C, and zero-sequence current. During the acquisition process, time synchronization control is used to ensure that data from each level are recorded at the same sampling time. For example, longitudinal current data are periodically acquired at 12:00, 12:15, 12:30, and 12:45. The measurement results are manually verified and archived on-site to form a multi-level comparison dataset of the longitudinal link, which is used for subsequent verification of the step-by-step summation and current conservation relationship.

[0082] In one embodiment, such as Figure 4 As shown, in step S20, phase identification is performed on each level of the meter box based on high-frequency carrier communication data to obtain the phase current of each node, and then the phase binding relationship of each node is determined based on the phase current, including:

[0083] S21: Extract meter box related information from high-frequency carrier communication data and call the preset power relationship file to parse the meter box related information.

[0084] Specifically, the high-frequency carrier communication data includes basic fields such as meter box number, user meter number, phase identifier, and access point identifier. This data is periodically transmitted back to the data platform through the carrier module of the converged terminal. The data platform retrieves the pre-established power relationship file and compares and verifies the carrier communication data with the existing power supply path information in the file. For example, if a user meter is identified as phase A in the file, and its carrier message also shows phase A, it means that the file information is consistent with the field communication data, thereby completing the parsing and confirmation of the relevant information of the meter box.

[0085] S22: Based on the analysis results, the current data of each node is divided into different phase categories to obtain the phase current.

[0086] Specifically, after parsing the relationship between carrier communication data and archives, a phase identifier can be determined for each node, and the collected current data can be classified into three phases: A, B, and C. For example, in a meter box, if two of the four user meters belong to phase A, one to phase B, and one to phase C, then at that sampling time, the corresponding current data is assigned to the three categories of A, B, and C, forming three sets of phase current datasets, which provide a basis for subsequent step-by-step summation and phase classification determination.

[0087] S23: Determine the phase assignment of the initial node based on the power supply relationship file, and gradually determine the phase assignment of each node by combining the phase current.

[0088] Specifically, firstly, a node with a known phase in the power relationship file is selected as the initial node. For example, if the bus switch of a certain meter box is marked as phase A in the file, then it is used as the starting node. Based on this, combined with the distribution characteristics of the phase current, the current of the user meters under it is analyzed. By judging the current transmission relationship and the current conservation condition, the phase assignment of adjacent nodes is gradually deduced. The confirmed node is used as the new benchmark point, and the process continues to the next level node, finally realizing the phase assignment determination of all nodes in the entire ledger topology.

[0089] S24: Generate the phase binding relationship of each node in the ledger topology based on phase affiliation.

[0090] Specifically, after determining the phase affiliation of each node, the results are mapped to the ledger topology structure, establishing a one-to-one correspondence between the node and its corresponding phase, and recording it in the topology archive of the data platform. For example, user meter A belongs to phase A, user meter B belongs to phase B, and user meter C belongs to phase C. The meter box corresponds to a three-phase parallel binding relationship. In this way, the phase binding relationship is generated, so that the ledger topology can fully reflect the phase power supply structure from the transformer to the user, providing data support for the subsequent step-by-step summation of phase currents.

[0091] In one embodiment, such as Figure 5 As shown, in step S23, the phase assignment of each node is determined step by step based on the phase current, including:

[0092] S231: Based on the phase assignment of the initial node and the current transmission relationship between the initial node and adjacent nodes, deduce and determine the current distribution of adjacent nodes.

[0093] Specifically, after identifying a meter box or user meter as the initial node and knowing its phase affiliation, current transmission analysis is performed using the electrical connection relationship between it and adjacent nodes. For example, when a meter box is identified as a phase A meter box, the measured phase A current should be equal to the sum of the phase A currents of its subordinate user meters. By comparing the distribution of the total current of the meter box with the current of each user meter, the current distribution of adjacent user nodes at that sampling time can be deduced, thus providing a reference for the phase affiliation determination of adjacent nodes.

[0094] S232: Compare the current distribution with the phase current of adjacent nodes. If the comparison result meets the preset current conservation condition, determine the phase assignment of adjacent nodes. Then, based on the phase assignment of adjacent nodes and the corresponding current transmission relationship, perform recursive verification to obtain the phase assignment of each node.

[0095] Specifically, after deriving the current allocation of adjacent nodes, the results can be compared with the actual phase current collected by the node. When the comparison value meets the current conservation condition within the set tolerance range, it can be confirmed that the phase assignment of the adjacent node is consistent with the initial node. For example, when the difference between the derived phase A current and the actual collected phase A current is less than the threshold, the node is determined to belong to phase A and is used as a new reference node to continue to push downstream or upstream, thereby gradually completing the determination of the phase assignment of all nodes in the entire ledger topology.

[0096] In one embodiment, such as Figure 6 As shown, in step S30, based on the phase binding relationship, the phase currents at each stage are summed step by step, and the summed phase currents are sampled according to a preset sampling interval to generate phase current time series curves, including:

[0097] S31: The phase currents are summed step by step from bottom to top according to the phase binding relationship to obtain the phase currents aggregated step by step.

[0098] Specifically, after completing the phase binding relationship, according to the parent-child structure of the ledger topology, starting from the user meter node, the phase current is aggregated level by level to the meter box node, then from the meter box node to the branch node, and finally aggregated to the transformer node. For example, the current data of a certain A-phase user meter will first be accumulated to the A-phase current of its respective meter box, and then further transmitted to the A-phase current of the next higher level branch box, and so on to form the A-phase current aggregated level by level. The same method is also applied to the B-phase and C-phase to realize the level-by-level aggregation of the three-phase current.

[0099] S32: Sample the phase currents that are aggregated step by step according to the preset sampling interval to generate the corresponding phase current timing curves.

[0100] Specifically, after the aggregated current is obtained by summing up step by step, the aggregated current is processed into a time series according to a pre-set sampling interval. For example, if the sampling interval is set to 15 minutes, the aggregated current values ​​of phase A, phase B, and phase C are recorded at 00:00, 00:15, 00:30, etc., respectively. The continuous recording forms a current sequence containing multiple sampling points, and these sequences are plotted as a time series curve in chronological order. This curve can reflect the dynamic change process of the current of each phase throughout the entire sampling period.

[0101] In one embodiment, such as Figure 7 As shown, in step S31, the phase currents are summed step by step from bottom to top according to the phase binding relationship to obtain the phase currents aggregated step by step, including:

[0102] S311: Under a unified time reference, summarize the phase currents of sub-nodes at the same sampling time.

[0103] Specifically, at the sampling time, the current of all sub-nodes is time-aligned. For example, at the sampling point of 10:15, the current of several user meters under the meter box needs to be summarized based on a unified time base. The phase current values ​​collected at that time are accumulated to obtain the phase current value of the meter box node at 10:15, thereby ensuring consistency in the time dimension.

[0104] S312: Based on the parent-child relationship of the ledger topology, the phase current of the child node is summed up to the corresponding parent node step by step.

[0105] Specifically, under the premise of ensuring the same sampling time, the phase current of the lower-level node is passed and summed to the upper-level node step by step. For example, the current of the user's meter is accumulated to its respective meter box, the current of the meter box is accumulated to the branch node, and the branch node is accumulated to the transformer node, thereby realizing the step-by-step aggregation in the topology.

[0106] S313: Based on the phase category, perform step-by-step summation of the phase currents corresponding to the same phase category.

[0107] Specifically, during the step-by-step summation, only currents of the same phase are aggregated. For example, the current of phase A is only accumulated step-by-step in the phase A channel, and the current of phase B is only accumulated step-by-step in the phase B channel. Currents of different phases will not be mixed, thus ensuring that the result of step-by-step summation remains independent and consistent in terms of phase.

[0108] In one embodiment, such as Figure 8 As shown, in step S40, the horizontal and vertical current data are compared with the phase current time series curves to obtain monitoring results based on the comparison results, including:

[0109] S41: Compare the lateral measurement data with the current values ​​of the phase current timing curve at the same sampling time to obtain the lateral comparison result.

[0110] Specifically, the lateral current data obtained from different meter boxes at the sampling time are compared one by one with the current values ​​at the corresponding time in the phase current time series curve. For example, at the sampling point of 11:00, the lateral current data of meter box A and meter box B should correspond to the phase current values ​​at that time in the curve. By comparison, it can be determined whether the current distribution of the lateral nodes at the same level is reasonable. If the two are consistent within the set deviation threshold range, the lateral comparison result is a match; otherwise, it indicates that there is an anomaly at that level.

[0111] S42: Compare the longitudinal measurement data with the current values ​​summed step by step along the same path from the phase current time sequence curve to obtain the longitudinal comparison result.

[0112] Specifically, the longitudinal data collected along the same path includes currents at different levels such as meter boxes, branch nodes, and transformers. These longitudinal data are accumulated level by level and compared with the aggregated values ​​of the corresponding path in the phase current time series curve. For example, the sum of the meter box currents at 12:15 on a certain branch path should be equal to the current value of that branch node. Then, it is further compared with the transformer node current. If the calculation result matches the curve data within the tolerance range, the longitudinal comparison result is consistent; otherwise, it indicates that there is a mismatch in the longitudinal link.

[0113] S43: The monitoring results are obtained based on the horizontal and vertical comparison results. The monitoring results include the correctness of the phase binding relationship and the step-by-step summation results.

[0114] Specifically, after completing both horizontal and vertical comparisons, the comparison results can be comprehensively judged. For example, if the horizontal comparison shows that the current of different meter boxes is consistent with the curve value at each sampling point, and the vertical comparison shows that the result of the step-by-step summation conforms to the current conservation relationship, then the phase binding relationship can be confirmed as correct and the step-by-step summation result is reliable. At this time, the monitoring result is judged as valid. Conversely, if any horizontal or vertical comparison result shows a deviation exceeding the limit, the monitoring result shows that there is an abnormality in the phase binding relationship or the step-by-step summation process, which needs to be further verified.

[0115] Example 2

[0116] like Figure 9 As shown, based on the same inventive concept as the above embodiments, the present invention also provides a low-voltage distribution area monitoring device based on a data platform, comprising:

[0117] The time calibration module is used to collect current data of each node in the ledger topology under a unified time reference by means of horizontal and vertical measurement point layout rules. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter.

[0118] The phase identification module is used to acquire high-frequency carrier communication data between the meter box and the user's meter, identify the phase of each level of the meter box based on the high-frequency carrier communication data, obtain the phase current of each node, and then determine the phase binding relationship of each node based on the phase current.

[0119] The step-by-step summing module is used to sum the phase currents at each stage based on the phase binding relationship, and to sample the summed phase currents according to a preset sampling interval to generate the time-series curves of the phase currents.

[0120] The comparison and verification module is used to compare the horizontal and vertical current data with the phase current timing curves to obtain the monitoring results based on the comparison results.

[0121] Optionally, the time calibration module includes:

[0122] The lateral measurement submodule is used to select lateral nodes located in different meter boxes or branch boxes at the same sampling time, collect the current data of the lateral nodes, and obtain lateral measurement data.

[0123] The longitudinal measurement submodule is used to select longitudinal nodes at different levels, such as meter boxes, branch boxes, and transformers, on the same electrical path, collect current data from the longitudinal nodes, and obtain longitudinal measurement data.

[0124] Optionally, the phase identification module includes:

[0125] The data parsing submodule is used to extract meter box related information from high-frequency carrier communication data and call the preset power relationship file to parse the meter box related information;

[0126] The phase division submodule is used to divide the current data of each node into different phase categories based on the analysis results, so as to obtain the phase current.

[0127] The phase assignment submodule is used to determine the phase assignment of the initial node based on the power relationship file, and to gradually determine the phase assignment of each node by combining the phase current.

[0128] The phase binding submodule is used to generate phase binding relationships for each node in the ledger topology based on phase affiliation.

[0129] Optionally, the phase-specific attribution submodule includes:

[0130] The current derivation unit is used to derive and determine the current distribution of adjacent nodes based on the phase assignment of the initial node and the current transmission relationship between the initial node and adjacent nodes.

[0131] The recursive verification unit is used to compare the current distribution with the phase current of adjacent nodes. If the comparison result meets the preset current conservation condition, the phase assignment of adjacent nodes is determined. Then, based on the phase assignment of adjacent nodes and the corresponding current transmission relationship, the recursive verification is performed in sequence to obtain the phase assignment of each node.

[0132] Optionally, the step-by-step summing module includes:

[0133] The step-by-step aggregation submodule is used to sum the phase currents step-by-step from bottom to top according to the phase binding relationship to obtain the step-by-step aggregated phase currents;

[0134] The timing sampling submodule is used to sample the phase currents aggregated step by step according to a preset sampling interval, and generate the corresponding phase current timing curves.

[0135] Optionally, the hierarchical aggregation submodule includes:

[0136] The time aggregation unit is used to aggregate the phase currents of sub-nodes at the same sampling time under a unified time reference.

[0137] The parent-child aggregation unit is used to sum the phase currents of child nodes to the corresponding parent nodes based on the parent-child relationship of the ledger topology.

[0138] The phase aggregation unit is used to perform step-by-step summation of the phase currents corresponding to the same type of phase category based on the phase category.

[0139] Optionally, the comparison and verification module includes:

[0140] The lateral comparison submodule is used to compare the lateral measurement data with the current value of the phase current time sequence curve at the same sampling time to obtain the lateral comparison result.

[0141] The longitudinal comparison submodule is used to compare the longitudinal measurement data with the current values ​​summed step by step along the same path of the phase current time sequence curve to obtain the longitudinal comparison result.

[0142] The result determination submodule is used to obtain monitoring results based on the horizontal comparison results and the vertical comparison results. The monitoring results include the correctness of the phase binding relationship and the step-by-step summation results.

[0143] Example 3

[0144] like Figure 10 As shown, the present invention also provides an electronic device 100 for implementing a low-voltage distribution area monitoring method based on a data middle platform;

[0145] The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on at least one processor 102, and at least one communication bus 104.

[0146] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the low-voltage area monitoring method based on the data platform in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0147] The memory 101 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0148] At least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 102 may be a microprocessor or any conventional processor. Processor 102 is the control center of electronic device 100, connecting various parts of electronic device 100 via various interfaces and lines.

[0149] The memory 101 in the electronic device 100 stores multiple instructions to implement a low-voltage monitoring method based on a data middle platform, and the processor 102 can execute multiple instructions to achieve the following:

[0150] Under a unified time reference, current data of each node is collected from the ledger topology through the layout rules of horizontal and vertical measurement. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter.

[0151] The high-frequency carrier communication data between the meter box and the user's meter is acquired. Based on the high-frequency carrier communication data, the phase identification of each level of the meter box is performed to obtain the phase current of each node. Then, the phase binding relationship of each node is determined based on the phase current.

[0152] Based on the phase binding relationship, the phase currents of each stage are summed step by step, and the summed phase currents are sampled according to the preset sampling interval to generate phase current time sequence curves;

[0153] The horizontal and vertical current data are compared with the phase current time sequence curves to obtain the monitoring results based on the comparison results.

[0154] Example 4

[0155] If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0156] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0157] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0158] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0159] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0160] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A low-voltage distribution area monitoring method based on a data platform, characterized in that, The method includes: Under a unified time reference, current data of each node is collected from the ledger topology through the layout rules of horizontal and vertical measurement. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter. The high-frequency carrier communication data between the meter box and the user's meter is acquired. Based on the high-frequency carrier communication data, the phase identification of each level of the meter box is performed to obtain the phase current of each node. Then, the phase binding relationship of each node is determined based on the phase current. Based on the phase binding relationship, the phase currents at each stage are summed up step by step, and the summed phase currents are sampled according to a preset sampling interval to generate phase current time series curves; The horizontal and vertical current data are compared with the phase current time sequence curves to obtain monitoring results based on the comparison results.

2. The low-voltage distribution area monitoring method based on a data platform according to claim 1, wherein collecting current data of each node from the ledger topology through the distribution rules of horizontal and vertical measurements includes: At the same sampling time, select lateral nodes located in different meter boxes or branch boxes, collect current data of the lateral nodes, and obtain lateral measurement data. Longitudinal nodes at different levels, such as meter boxes, branch boxes, and transformers, are selected along the same electrical path, and current data of these longitudinal nodes are collected to obtain longitudinal measurement data.

3. The low-voltage distribution area monitoring method based on a data middle platform according to claim 1, wherein the step of performing phase identification on each level of the meter box according to the high-frequency carrier communication data to obtain the phase current of each node, and then determining the phase binding relationship of each node according to the phase current, includes: Extract meter box related information from the high-frequency carrier communication data, and call the preset power relationship file to parse the meter box related information; Based on the analysis results, the current data of each node are divided into different phase categories to obtain the phase current; The phase assignment of the initial node is determined based on the power relationship file, and the phase assignment of each node is determined step by step in combination with the phase current. The phase binding relationship of each node in the ledger topology is generated based on the phase affiliation.

4. The low-voltage distribution area monitoring method based on a data middle platform according to claim 3, wherein the step of gradually determining the phase assignment of each node by combining the phase current includes: Based on the phase assignment of the initial node, and the current transmission relationship between the initial node and adjacent nodes, the current distribution of the adjacent nodes is deduced and determined. The current distribution is compared with the phase current of the adjacent nodes. If the comparison result meets the preset current conservation condition, the phase assignment of the adjacent nodes is determined. Then, the phase assignment of each node is obtained by recursively verifying the phase assignment of the adjacent nodes and the corresponding current transmission relationship.

5. The low-voltage distribution area monitoring method based on a data platform according to claim 3, wherein the step of summing the phase currents at each stage based on the phase binding relationship, and sampling the summed phase currents according to a preset sampling interval to generate phase current time-series curves, includes: The phase currents are summed step by step from bottom to top according to the phase binding relationship to obtain the phase currents aggregated step by step; The phase currents aggregated step by step are sampled according to a preset sampling interval to generate corresponding phase current timing curves.

6. The low-voltage distribution area monitoring method based on a data middle platform according to claim 5, wherein the step of summing the phase currents stepwise from bottom to top according to the phase binding relationship includes: Under a unified time reference, the phase currents of sub-nodes at the same sampling time are summarized; Based on the parent-child relationship of the ledger topology, the phase currents of the child nodes are summed up to the corresponding parent nodes step by step; Based on the phase category, the phase currents corresponding to the same type of phase category are summed step by step.

7. The low-voltage distribution area monitoring method based on a data platform according to claim 2, wherein comparing the horizontal and vertical current data with the phase current time-series curves to obtain monitoring results based on the comparison results includes: The lateral measurement data is compared with the current value of the phase current time sequence curve at the same sampling time to obtain the lateral comparison result; The longitudinal measurement data is compared with the current values ​​summed step by step along the same path by the phase current time sequence curve to obtain the longitudinal comparison result. The monitoring results are obtained based on the horizontal comparison results and the vertical comparison results. The monitoring results include the correctness of the phase binding relationship and the stepwise summation results.

8. A low-voltage area monitoring device based on a data center, characterized in that, The device includes: The time calibration module is used to collect current data of each node in the ledger topology under a unified time reference by means of horizontal and vertical measurement point layout rules. The ledger topology includes the hierarchical power connection relationship from the transformer to the user meter. The phase identification module is used to acquire high-frequency carrier communication data between the meter box and the user's meter, identify the phase of each level of the meter box based on the high-frequency carrier communication data, obtain the phase current of each node, and then determine the phase binding relationship of each node based on the phase current. The step-by-step summing module is used to sum the phase currents at each stage based on the phase binding relationship, and to sample the summed phase currents according to a preset sampling interval to generate the time-series curves of the phase currents. The comparison and verification module is used to compare the horizontal and vertical current data with the phase current time sequence curves to obtain monitoring results based on the comparison results.

9. An electronic device, comprising: It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the steps of the low-voltage monitoring method based on a data center as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, which, when executed by a processor, implements the steps of the low-voltage monitoring method based on a data middle platform as described in any one of claims 1 to 7.

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