Charging pile abnormal electricity utilization positioning method and system, storage medium and computer equipment

Abstract

The invention discloses a charging pile abnormal electricity utilization positioning method and system, a storage medium and computer equipment, and the method comprises the steps: monitoring first electricity utilization information on a corresponding charging pile line in real time, generating a data obtaining request when an abnormality is monitored, determining a plurality of target intelligent miniature circuit breakers, the data acquisition request is sent to each target intelligent miniature circuit breaker, and feedback information is received; identifying information feedback time from each piece of feedback information, and calculating each delay time according to the sending time of the data acquisition request and the information feedback time; according to each delay time and the sending time, performing time synchronization on each target intelligent miniature circuit breaker, and after the time synchronization, according to the obtained first power utilization information sequence and each second power utilization information sequence, respectively determining whether power utilization abnormity exists on a charging pile line of each target intelligent miniature circuit breaker, and obtaining a power utilization abnormity judgment result; and determining abnormal power utilization area information based on each power utilization abnormity judgment result.

Description

TECHNICAL FIELD

[0001] The application relates to the fields of measurement and communication, in particular to a charging pile abnormal power consumption positioning method and system, a storage medium and a computer device. BACKGROUND

[0002] With the continuous increase in the number of global electric vehicles and electric bicycles, charging piles, as the core infrastructure supporting the development of the new energy transportation industry, have rapidly grown in construction scale. However, the power consumption environment of charging piles has high complexity characteristics: the power supply lines generally have problems such as multiple devices operating in parallel, concentrated nonlinear loads (such as harmonics generated by vehicle-mounted chargers), and large dynamic load fluctuations (charging power changes in real time with the battery state), which lead to frequent abnormal power consumption events such as leakage, short circuit, and overload. Such abnormalities not only may cause serious safety accidents such as electric arc fires and electric shock injuries, but also may cause power grid voltage sag or harmonic pollution, affecting the normal operation of other precision equipment in the same power distribution area. Therefore, how to achieve millisecond-level accurate positioning of charging pile abnormal power consumption has become a key technical bottleneck for ensuring the safety of charging infrastructure and improving power grid compatibility.

[0003] The existing charging pile power consumption abnormal positioning scheme mainly has the following technical defects: first, it relies on the localized monitoring of a single monitoring device. When an abnormality occurs, the traditional monitoring device can only cut off the fault line through a protection action (such as tripping), but cannot determine the true source of the fault. Second, the centralized monitoring architecture has inherent delays. Some schemes collect current and voltage data from all monitoring devices through a central server for analysis, but the data needs to be relayed through multiple levels of communication (such as monitoring device→ concentrator→ cloud platform), and the transmission delay can reach seconds, which makes it difficult to meet the positioning needs of instantaneous faults such as leakage protection. SUMMARY

[0004] Therefore, the application provides a charging pile abnormal power consumption positioning method and system, a storage medium, and a computer device. By constructing a decentralized distributed monitoring network, real-time data interaction and time synchronization between intelligent miniature circuit breakers are realized. The method innovatively introduces a dynamic target intelligent miniature circuit breaker selection mechanism, sends data acquisition requests only to intelligent miniature circuit breakers that may be related to the fault, and reduces invalid communication. At the same time, through bidirectional time synchronization calibration, clock deviation is eliminated, ensuring the time alignment of the power consumption information sequences of each intelligent miniature circuit breaker, and then accurately positioning the abnormal area based on spatiotemporal correlation analysis, thereby significantly improving the real-time performance and accuracy of fault positioning without relying on a central server.

[0005] According to an aspect of the present application, a charging pile abnormal power consumption positioning method is provided, which is applied to a charging pile abnormal power consumption positioning system including a plurality of intelligent miniature circuit breakers; for any intelligent miniature circuit breaker, the method includes: monitoring first power consumption information on a corresponding charging pile line in real time, and when an abnormality in the first power consumption information is monitored, generating a data acquisition request according to the first power consumption information, determining a plurality of target intelligent miniature circuit breakers from the remaining intelligent miniature circuit breakers, sending the data acquisition request to each target intelligent miniature circuit breaker respectively, and receiving feedback information generated by each target intelligent miniature circuit breaker based on the data acquisition request; identifying information feedback time of the target intelligent miniature circuit breaker from the feedback information corresponding to each target intelligent miniature circuit breaker respectively, and calculating delay time corresponding to each target intelligent miniature circuit breaker according to the sending time of the data acquisition request and the information feedback time; performing time synchronization processing on the target intelligent miniature circuit breakers according to the delay time corresponding to each target intelligent miniature circuit breaker and the sending time, and after time synchronization, obtaining a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, determining whether there is power consumption abnormality on the charging pile line corresponding to each target intelligent miniature circuit breaker according to the first power consumption information sequence and the second power consumption information sequence, and obtaining power consumption abnormality judgment results; determining abnormal power consumption area information of the charging pile based on the power consumption abnormality judgment results corresponding to each target intelligent miniature circuit breaker.

[0006] According to another aspect of the present application, a charging pile abnormal power consumption positioning system is provided, which includes a plurality of intelligent miniature circuit breakers; the intelligent miniature circuit breaker is used for: monitoring first power consumption information on a corresponding charging pile line in real time, and when an abnormality in the first power consumption information is monitored, generating a data acquisition request according to the first power consumption information, determining a plurality of target intelligent miniature circuit breakers from the remaining intelligent miniature circuit breakers, sending the data acquisition request to each target intelligent miniature circuit breaker respectively, and receiving feedback information generated by each target intelligent miniature circuit breaker based on the data acquisition request; identifying information feedback time of the target intelligent miniature circuit breaker from the feedback information corresponding to each target intelligent miniature circuit breaker respectively, and calculating delay time corresponding to each target intelligent miniature circuit breaker according to the sending time of the data acquisition request and the information feedback time; According to the delay time corresponding to each target intelligent miniature circuit breaker and the sending time, time synchronization processing is performed on the target intelligent miniature circuit breakers, and after time synchronization, a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker are obtained. According to the first power consumption information sequence and the second power consumption information sequence, it is determined whether there is power consumption anomaly on the charging pile line corresponding to each target intelligent miniature circuit breaker, and a power consumption anomaly judgment result is obtained. Based on the power consumption anomaly judgment result corresponding to each target intelligent miniature circuit breaker, the abnormal power consumption area information of the charging pile is determined.

[0007] According to another aspect of the present application, a storage medium having a computer program stored thereon is provided, and the program is executed by a processor to implement the charging pile abnormal power consumption positioning method.

[0008] According to another aspect of the present application, a computer device is provided, which includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, and the processor executes the program to implement the charging pile abnormal power consumption positioning method.

[0009] By the technical scheme, the application provides a charging pile abnormal power consumption positioning method and system, a storage medium and a computer device. For each intelligent miniature circuit breaker, the intelligent miniature circuit breaker continuously and real-timely collects first power consumption information of a connected charging pile line, and performs real-time analysis on the first power consumption information to determine whether there is power consumption abnormality. When it is monitored that there is power consumption abnormality, a data acquisition request is generated according to the monitored first power consumption information, and a plurality of target intelligent miniature circuit breakers possibly affected by the abnormality are screened out from the remaining intelligent miniature circuit breakers, and the data acquisition request is sent to each target intelligent miniature circuit breaker. After each target intelligent miniature circuit breaker receives the data acquisition request, feedback information can be generated and returned. Then, the information feedback time of the target intelligent miniature circuit breaker can be extracted from each feedback information, and compared with the sending time of the data acquisition request recorded by itself, and the time difference between the two is calculated as the communication delay time of the target intelligent miniature circuit breaker. Subsequently, the local clock of each target intelligent miniature circuit breaker is calibrated based on the delay time of all target intelligent miniature circuit breakers. After time synchronization is completed, second power consumption information sequences can be obtained from each target intelligent miniature circuit breaker. At the same time, the first power consumption information sequence corresponding to the preset time window is extracted from the self storage. Subsequently, joint analysis is respectively performed between the first power consumption information sequence and each group of second power consumption information sequences, and power consumption abnormality judgment results corresponding to each target intelligent miniature circuit breaker are generated. Further, the power consumption abnormality judgment results of all target intelligent miniature circuit breakers are summarized to obtain the final abnormal power consumption area of the charging pile. The application embodiment realizes real-time data interaction and time synchronization between intelligent miniature circuit breakers by constructing a decentralized distributed monitoring network. The method innovatively introduces a dynamic target intelligent miniature circuit breaker selection mechanism, and only sends data acquisition requests to intelligent miniature circuit breakers that may be related to the fault, thereby reducing invalid communication. At the same time, clock deviation is eliminated through bidirectional time synchronization calibration to ensure the time alignment of the power consumption information sequences of each intelligent miniature circuit breaker, and then the abnormal area is accurately positioned based on the space-time correlation analysis, thereby significantly improving the real-time performance and accuracy of fault positioning without relying on a central server.

[0010] The above description is only a summary of the technical scheme of the application. In order to more clearly understand the technical means of the application, the application can be implemented in accordance with the content of the specification, and in order to make the above and other purposes, features and advantages of the application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0011] The drawings described herein are used to provide further understanding of the application, and form a part of the application. The schematic embodiments of the application and their descriptions are used to explain the application and do not constitute an improper limitation on the application. In the drawings: Figure 1A flowchart of a charging pile abnormal power consumption positioning method provided by an embodiment of the application is shown. Figure 2 A schematic diagram of a charging pile abnormal power consumption positioning system provided by an embodiment of the application is shown. Figure 3 A structural schematic diagram of an intelligent miniature circuit breaker provided by an embodiment of the application is shown. Figure 4 A device structure schematic diagram of a computer device provided by an embodiment of the application is shown. DETAILED DESCRIPTION

[0012] The application will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other without conflict.

[0013] In the embodiment, a charging pile abnormal power consumption positioning method is provided, as shown in the figure. Figure 1 The method is applied to a charging pile abnormal power consumption positioning system, and the charging pile abnormal power consumption positioning system includes a plurality of intelligent miniature circuit breakers. For any intelligent miniature circuit breaker, the method includes the following steps. Step 101, real-time monitoring of first power consumption information on a corresponding charging pile line, and when it is monitored that the first power consumption information is abnormal, generating a data acquisition request according to the first power consumption information, determining a plurality of target intelligent miniature circuit breakers from the remaining intelligent miniature circuit breakers, sending the data acquisition request to each target intelligent miniature circuit breaker, and receiving feedback information generated by each target intelligent miniature circuit breaker based on the data acquisition request.

[0014] Step 102, identifying information feedback time of the target intelligent miniature circuit breaker from the corresponding feedback information of each target intelligent miniature circuit breaker, and calculating the delay time corresponding to each target intelligent miniature circuit breaker according to the sending time of the data acquisition request and the information feedback time.

[0015] Step 103, performing time synchronization processing on each target intelligent miniature circuit breaker according to the delay time corresponding to each target intelligent miniature circuit breaker and the sending time, and after time synchronization, obtaining a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, and determining whether there is power consumption abnormality on the charging pile line corresponding to each target intelligent miniature circuit breaker according to the first power consumption information sequence and the second power consumption information sequence, to obtain a power consumption abnormality judgment result.

[0016] Step 104, determining abnormal power consumption area information of the charging pile based on the power consumption abnormality judgment result corresponding to each target intelligent miniature circuit breaker.

[0017] The charging pile abnormal power consumption positioning method provided by the embodiments of the present application can quickly locate the abnormal power consumption area. Specifically, the method can be applied to a charging pile abnormal power consumption positioning system, which can include a plurality of intelligent miniature circuit breakers, each of which is responsible for monitoring first power consumption information on a certain charging pile line. Different intelligent miniature circuit breakers can communicate with each other.

[0018] For each intelligent miniature circuit breaker, the following operations can be performed: The first power consumption information of the connected charging pile line is continuously collected in real time, which can specifically include current, voltage, power factor, harmonic content and other key parameters, and the first power consumption information is analyzed in real time to determine whether there is power consumption abnormality. When it is monitored that a certain parameter exceeds the preset safety range or a characteristic fault mode is detected, it is determined that the charging pile line has power consumption abnormality. At this time, according to the monitored first power consumption information with abnormality, a data acquisition request is generated, and an abnormality positioning process is triggered: the current intelligent miniature circuit breaker acts as a master node, filters a plurality of target intelligent miniature circuit breakers that may be affected by abnormality from the remaining intelligent miniature circuit breakers, and sends the above data acquisition request to each target intelligent miniature circuit breaker.

[0019] After each target intelligent miniature circuit breaker receives the data acquisition request, it can generate feedback information in combination with the local real-time monitoring data and return to the master node. The master node can extract the information feedback time of the target intelligent miniature circuit breaker from each feedback information, and compare it with the sending time of the data acquisition request recorded by itself, and calculate the time difference between the two as the communication delay time of the target intelligent miniature circuit breaker (for example, the sending time is T1, the information feedback time is T2, and the delay time ΔT=T2-T1). Subsequently, the master node calibrates the local clock of each target intelligent miniature circuit breaker based on the delay time of all target intelligent miniature circuit breakers: by compensating the communication delay, the time reference of all intelligent miniature circuit breakers is unified to the time axis of the master node, ensuring that the time alignment accuracy of the subsequent power consumption information sequence reaches the microsecond level, thereby eliminating the fault positioning deviation caused by different clock synchronization. In a specific embodiment, time synchronization can be realized by using a distributed clock synchronization algorithm (such as an improved IEEE 1588 protocol or a self-defined weighted average synchronization method).

[0020] After the time synchronization is completed, the master node can obtain the second power consumption information sequence from each target intelligent miniature circuit breaker. Specifically, the master node can send a data synchronization instruction to require each target intelligent miniature circuit breaker to upload the second power consumption information sequence (which can include the time-domain waveform or frequency-domain feature of current and voltage) within a preset time window (such as 1 second before the abnormal triggering to 5 seconds after the abnormal triggering). At the same time, the master node extracts the first power consumption information sequence corresponding to the preset time window from its own storage. Subsequently, the master node respectively performs joint analysis between the first power consumption information sequence and each group of second power consumption information sequences, and generates the power consumption abnormality judgment result (such as “abnormality exists” or “no abnormality”) corresponding to each target intelligent miniature circuit breaker.

[0021] Further, the master node aggregates the power consumption abnormality judgment results of all target intelligent miniature circuit breakers to obtain the final abnormal power consumption area of the charging pile. In a specific embodiment, the master node can comprehensively reason in combination with the topological relationship network of the charging pile abnormal positioning system: if a branch line and its downstream sub-lines are all judged to be abnormal, the branch is located as the abnormal power consumption area; if multiple adjacent lines appear abnormal at the same time, the fault propagation path is further analyzed to determine the fault source, and the abnormal power consumption area is determined according to the fault source.

[0022] By applying the technical solution of the embodiment, for each intelligent miniature circuit breaker, the intelligent miniature circuit breaker continuously collects first power consumption information of the connected charging pile line in real time, and analyzes the first power consumption information in real time to determine whether there is power consumption anomaly. When it is monitored that there is power consumption anomaly, according to the monitored first power consumption information that exists anomaly, a data acquisition request is generated, and a plurality of target intelligent miniature circuit breakers that may be affected by anomaly are screened out from the remaining intelligent miniature circuit breakers, and the data acquisition request is sent to each target intelligent miniature circuit breaker. After each target intelligent miniature circuit breaker receives the data acquisition request, feedback information can be generated and returned. Then, the information feedback time of the target intelligent miniature circuit breaker can be extracted from each feedback information, and compared with the sending time of the data acquisition request recorded by itself, and the time difference between the two is calculated as the communication delay time of the target intelligent miniature circuit breaker. Subsequently, based on the delay times of all target intelligent miniature circuit breakers, the local clock of each target intelligent miniature circuit breaker is calibrated. After time synchronization is completed, the second power consumption information sequence can be obtained from each target intelligent miniature circuit breaker. At the same time, the first power consumption information sequence corresponding to the preset time window is extracted from the self storage. Subsequently, the first power consumption information sequence and each group of second power consumption information sequence are jointly analyzed, respectively, to generate power consumption anomaly judgment results corresponding to each target intelligent miniature circuit breaker. Further, the power consumption anomaly judgment results of all target intelligent miniature circuit breakers are summarized to obtain the final abnormal power consumption area of the charging pile. The embodiment of the application realizes real-time data interaction and time synchronization between intelligent miniature circuit breakers by constructing a decentralized distributed monitoring network. This method innovatively introduces a dynamic target intelligent miniature circuit breaker selection mechanism, sends data acquisition requests only to intelligent miniature circuit breakers that may be related to the fault, reduces invalid communication; at the same time, the clock deviation is eliminated through bidirectional time synchronization calibration to ensure the time alignment of the power consumption information sequence of each intelligent miniature circuit breaker, and then the abnormal area is accurately located based on the space-time correlation analysis, thereby significantly improving the real-time and accuracy of fault positioning, and without relying on a central server.

[0023] In the embodiment of the application, optionally, the "real-time monitoring of the first power consumption information on the corresponding charging pile line" in step 101 comprises: real-time monitoring of the first power consumption information on the corresponding charging pile line, and determining the current type corresponding to the first power consumption information, determining the target abnormal monitoring strategy from the preset abnormal monitoring strategy according to the current type, and determining that the first power consumption information is abnormal when the first power consumption information meets the target abnormal monitoring strategy.

[0024] In this embodiment, the intelligent miniature circuit breaker can continuously monitor the first power consumption information on the corresponding charging pile line in real time. This process is uninterrupted data collection to ensure that any power consumption changes on the line can be captured in a timely manner. After monitoring the first power consumption information, the intelligent miniature circuit breaker can analyze the power consumption information and determine the corresponding current type. Since different types of current (such as smooth direct current, high-frequency alternating current, multi-frequency composite wave, superimposed wave, etc.) have different characteristics, the manifestations of abnormal power consumption will also be different, so it is necessary to select the appropriate target abnormal monitoring strategy from the preset abnormal monitoring strategy set according to the current type. The preset abnormal monitoring strategy is a series of judgment rules and thresholds that are formulated in advance according to the characteristics of various current types and possible abnormal power consumption conditions. For example, for a certain frequency of alternating current, the current fluctuation range, power factor range, etc. can be set as indicators of normal power consumption, and once these ranges are exceeded, it is considered abnormal. After determining the target abnormal monitoring strategy, the intelligent miniature circuit breaker can compare the real-time monitored first power consumption information with the target abnormal monitoring strategy. If the first power consumption information meets the abnormal judgment conditions set in the target abnormal monitoring strategy, such as the current value exceeding the preset normal fluctuation upper limit, or the power factor being lower than the specified minimum value, etc., it can be determined that the first power consumption information is abnormal, and then trigger a series of subsequent processing procedures, such as generating a data acquisition request, to further locate and analyze the abnormal condition.

[0025] In the embodiments of the present application, the intelligent miniature circuit breaker includes a power consumption safety sensing chip and an optical module. The power consumption safety sensing chip is used to collect the first power consumption information, and the optical module is used to send the data acquisition request to each target intelligent miniature circuit breaker.

[0026] In this embodiment, in the hardware architecture of the intelligent miniature circuit breaker, the power consumption safety sensing chip and the optical module play a key role. The power consumption safety sensing chip, as the core component of data collection, has high-precision electrical parameter measurement capability. It continuously and constantly monitors and collects electrical data on the corresponding charging pile line in real time. These data are the first power consumption information, which can include current, voltage, power, power factor and other key electrical parameters. The power consumption safety sensing chip converts the analog electrical signals in the line into digital signals through the built-in sensor and analog-to-digital conversion circuit, for subsequent processing and analysis.

[0027] The optical module is responsible for encoding and modulating the generated data acquisition request, converting it into an optical signal suitable for transmission in the optical communication medium. Through the pre-laid optical fiber network, the optical module sends the optical signal to the pre-determined target intelligent miniature circuit breaker. The optical module on the target intelligent miniature circuit breaker receives the optical signal and can demodulate and decode it to restore the original data acquisition request, and then trigger the corresponding feedback information generation and sending process. This communication method based on the optical module has the advantages of high transmission rate, strong anti-interference ability, long transmission distance, etc., which can ensure that the data acquisition request is quickly and accurately delivered to the target intelligent miniature circuit breaker, providing reliable communication guarantee for the efficient operation of the charging pile abnormal power consumption positioning system.

[0028] In the embodiments of the present application, after step 104, the method further includes: sending the abnormal power consumption area information to the target base station through a wireless communication method, so that the target base station forwards the abnormal power consumption area information to the server through the 5G public network, and the server determines the corresponding target processing terminal based on the abnormal power consumption area information and sends the abnormal power consumption area information to the target processing terminal.

[0029] In this embodiment, after determining the abnormal power consumption area information of the charging pile, in order to realize the timely transmission and processing of the abnormal power consumption area information, the wireless communication method is used to send the abnormal power consumption area information to the target base station. The wireless communication method here can be based on various wireless technologies such as Wi-Fi, Bluetooth, ZigBee, etc., and the specific selection depends on the actual application scene and demand. The intelligent miniature circuit breaker encapsulates and encodes the abnormal power consumption area information according to a specific data format, and then sends it out through the selected wireless communication module.

[0030] After receiving the wireless signal, the target base station first demodulates and decodes the signal to restore the abnormal power consumption area information. The target base station has the ability to connect with the 5G public network, and it uploads the abnormal power consumption area information to the 5G public network through the built-in 5G communication module. The 5G public network has the characteristics of high rate, low delay, large capacity, etc., and can quickly and stably transmit information to the server.

[0031] After receiving the abnormal power consumption area information, the server determines the corresponding target processing terminal based on preset rules and algorithms. These rules and algorithms can take into account various factors, such as the distance between the target processing terminal and the abnormal power consumption area, the permission level of the target processing terminal, the current workload of the target processing terminal, etc. For example, a processing terminal that is close to the abnormal power consumption area, has sufficient permissions, and has a light workload can be selected as the target processing terminal.

[0032] After determining the target processing terminal, the server can send the abnormal power consumption area information to the target processing terminal. The target processing terminal can be a mobile terminal (such as a smartphone, tablet computer, etc.) used by an operation and maintenance personnel, or a fixed terminal of the charging pile management center. After receiving the abnormal power consumption area information through the target processing terminal, the operation and maintenance personnel or the management personnel can promptly understand the abnormal power consumption situation of the charging pile and take appropriate processing measures according to the information, such as arranging maintenance personnel to go to the abnormal area for inspection and repair, so as to ensure the normal operation and power safety of the charging pile.

[0033] In the embodiments of the present application, optionally, the "determining a plurality of target intelligent miniature circuit breakers from the remaining intelligent miniature circuit breakers" in step 101 includes: obtaining a topological relationship network corresponding to the charging pile abnormal positioning system, positioning the any intelligent miniature circuit breaker in the topological relationship network, and determining a first intelligent miniature circuit breaker of a preset level in the topological relationship network based on the positioning information, wherein the target intelligent miniature circuit breaker includes the first intelligent miniature circuit breaker; and / or obtaining historical power consumption information corresponding to each intelligent miniature circuit breaker, performing clustering processing on the each intelligent miniature circuit breaker based on the historical power consumption information to obtain a plurality of clustering clusters, determining a target clustering cluster where the any intelligent miniature circuit breaker is located, and taking the intelligent miniature circuit breakers contained in the target clustering cluster as second intelligent miniature circuit breakers, wherein the target intelligent miniature circuit breakers include the second intelligent miniature circuit breakers; and / or obtaining historical feedback information sent by the remaining intelligent miniature circuit breakers, and determining third intelligent miniature circuit breakers with a historical delay less than a preset delay threshold based on the historical feedback information, wherein the target intelligent miniature circuit breakers include the third intelligent miniature circuit breakers.

[0034] In this embodiment, the target intelligent miniature circuit breaker can include the first intelligent miniature circuit breaker, the second intelligent miniature circuit breaker, the third intelligent miniature circuit breaker, etc.

[0035] The first intelligent miniature circuit breaker is determined based on the following manner: first, the intelligent miniature circuit breaker that monitors the abnormal power consumption information can obtain the topological relationship network of the charging pile abnormal positioning system. This topological relationship network is pre-constructed and records the physical connection relationship, hierarchical structure and other information between each intelligent miniature circuit breaker in the charging pile abnormal positioning system in detail, similar to a network map. After obtaining the topological relationship network, the intelligent miniature circuit breaker can locate its position in the network, which can be accurately positioned through a unique identifier (such as a device number). After positioning, based on the preset hierarchical rules, other intelligent miniature circuit breakers in a specific hierarchical relationship with the intelligent miniature circuit breaker are found in the topological relationship network. These determined intelligent miniature circuit breakers are the first intelligent miniature circuit breakers. Here, the preset hierarchy can be set according to actual needs, for example, it can be adjacent levels, adjacent areas in the same level, etc. In this way, other intelligent miniature circuit breakers that have a specific association with the intelligent miniature circuit breaker can be quickly filtered from the topological relationship network as target objects for subsequent data interaction and abnormality judgment.

[0036] The second intelligent miniature circuit breaker is determined based on the following manner: the intelligent miniature circuit breaker that monitors the abnormal power consumption information can collect historical power consumption information corresponding to each intelligent miniature circuit breaker. These information can include the variation data of electrical parameters such as current, voltage, power over time. After collecting enough historical power consumption information, clustering algorithm can be used to process these data. The clustering algorithm can divide each intelligent miniature circuit breaker into multiple clusters according to the similarity of the data (such as power consumption mode, power consumption fluctuation law, etc.), and the intelligent miniature circuit breakers in each cluster have similar historical power consumption characteristics. Then, the intelligent miniature circuit breaker finds the target cluster to which it belongs. After determining the target cluster, all intelligent miniature circuit breakers contained in the cluster are determined as the second intelligent miniature circuit breaker. This clustering method based on historical power consumption information can find groups of intelligent miniature circuit breakers with similar power consumption behaviors, which helps to filter out intelligent miniature circuit breakers that may be associated from the perspective of similar power consumption behaviors, providing a more comprehensive reference for subsequent abnormal power consumption positioning. In addition, dynamic real-time clustering is performed, so that even if the historical power consumption information of some intelligent miniature circuit breakers changes, the new historical power consumption characteristics can be captured in time, thereby realizing accurate clustering.

[0037] The third intelligent miniature circuit breaker is determined based on the following manner: the intelligent miniature circuit breaker that monitors the abnormal power consumption information can collect the historical feedback information sent by the remaining intelligent miniature circuit breakers in the previous interaction with itself. These historical feedback information contains the time, i.e. the delay time, between the sending request and the feedback information of the intelligent miniature circuit breaker receiving the request in each data interaction. Then the historical feedback information is analyzed, the delay time of each interaction is calculated, and the delay time is compared with the preset delay threshold. The preset delay threshold can be set according to the preset distance. If the historical delay time of a certain intelligent miniature circuit breaker #1 is less than the preset delay threshold, it indicates that the distance between the intelligent miniature circuit breaker #1 and the intelligent miniature circuit breaker is close, and then the intelligent miniature circuit breaker #1 is determined as the third intelligent miniature circuit breaker. In this way, the third intelligent miniature circuit breaker close to the intelligent miniature circuit breaker can be screened out as the target object for subsequent data interaction.

[0038] In the embodiment of the present application, optionally, the "obtaining a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, and determining whether there is power consumption anomaly on the charging pile line corresponding to each target intelligent miniature circuit breaker according to the first power consumption information sequence and the second power consumption information sequence to obtain power consumption anomaly judgment result" in step 103 includes: for the second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, performing time alignment processing on the first power consumption information sequence and the second power consumption information sequence, and determining abnormal first power consumption information from the first power consumption information sequence, and determining second power consumption information corresponding to each abnormal first power consumption information from the second power consumption information sequence according to the alignment processing result; for each abnormal first power consumption information, comparing the difference value between the abnormal first power consumption information and the corresponding second power consumption information, and determining the power consumption anomaly judgment sub result corresponding to the second power consumption information according to the difference value; determining the weight value corresponding to each power consumption anomaly judgment sub result according to the monitoring time of each second power consumption information corresponding to the second power consumption information sequence, and determining the power consumption anomaly judgment result corresponding to the second power consumption information sequence according to each power consumption anomaly judgment sub result and the corresponding weight value.

[0039] In this embodiment, for the convenience of subsequent analysis, the first power consumption information sequence (the data sequence collected by the current intelligent miniature circuit breaker) can be time-aligned with the second power consumption information sequence corresponding to each target intelligent miniature circuit breaker. Time alignment processing usually uses interpolation, synchronous clock, etc. to make the data in the two sequences one-to-one corresponding in the time dimension. After time alignment, the first power consumption information sequence can be analyzed to determine the abnormal first power consumption information according to the preset abnormality judgment rule (such as current mutation, voltage exceeding the normal range, etc.). These abnormal first power consumption information are the key data points for subsequent analysis. Since time alignment has been performed, the second power consumption information corresponding to the time point can be found from the second power consumption information sequence according to the time position of the abnormal first power consumption information in the first power consumption information sequence. In this way, the association between the abnormal first power consumption information and the second power consumption information is established, providing a basis for subsequent comparison and analysis.

[0040] For each abnormal first power consumption information and its corresponding second power consumption information that has been determined, the difference value between them can be calculated. The calculation of the difference value can involve various electrical parameters, such as current difference, voltage difference, power difference, etc., depending on the set analysis index. The calculated difference value reflects the difference degree of the power consumption situation at the two positions. Then the analysis can be carried out in combination with the topology relationship network corresponding to the charging pile abnormal positioning system. The topology relationship network records the connection relationship and position information between the intelligent miniature circuit breakers. By analyzing the difference value and the topology relationship, it can be judged whether the charging pile line corresponding to the second power consumption information exists power consumption abnormality. For example, if the difference value is close to 0, it means that the second power consumption information indicates the same power consumption abnormality, that is, the abnormal power consumption area can be the common line of the two; if the difference value is greater than the preset difference threshold, it means that the second power consumption information is normal, and only the first power consumption information is abnormal, that is, the abnormal power consumption area can be the independent power supply area of the intelligent miniature circuit breaker. Among them, the preset difference threshold is the minimum difference between normal power consumption and abnormal power consumption. In addition, if the difference value is less than the preset difference threshold but significantly greater than 0, it means that the second power consumption information is abnormal, and the fault is between the connected lines of the two intelligent miniature circuit breakers.

[0041] If the difference value is large and the topology relationship network shows that there is a potential association problem (such as sharing a section of line) between the positions of the two intelligent miniature circuit breakers, it is judged that the charging pile line corresponding to the second power consumption information exists power consumption abnormality, thereby determining the power consumption abnormality judgment sub-result. This analysis method combined with the topology relationship network can more accurately locate the possible position of the abnormality.

[0042] After determining each power consumption anomaly judgment sub-result, the monitoring time factor of each second power consumption information in the second power consumption information sequence can be considered. Because the data collected at different times have different importance for judging the overall power consumption anomaly situation, for example, the data collected recently can better reflect the actual situation of the current line. Therefore, the weight value corresponding to each power consumption anomaly judgment sub-result can be determined according to the monitoring time. The closer the monitoring time is to the current time, the higher the weight value is. After determining the weight value, the power consumption anomaly judgment sub-results and the corresponding weight values are weighted and calculated. Through this weighted calculation, the influence degree of each sub-result on the overall judgment is comprehensively considered, and finally the power consumption anomaly judgment result corresponding to the second power consumption information sequence is determined. This weighted processing method can make the judgment result more scientific and reasonable, avoid too large deviation of the overall judgment due to individual abnormal sub-results, and improve the accuracy and reliability of the abnormal power consumption positioning. In a specific embodiment, the weight values of each power consumption anomaly judgment sub-result indicating abnormality can be added, the weight values of each power consumption anomaly judgment sub-result indicating normality can be added, and finally the size of the two weight value sums is compared. The result corresponding to the larger weight value sum is taken as the final power consumption anomaly judgment result.

[0043] In the embodiment of the present application, optionally, step 104 comprises: when the power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker indicates power consumption anomaly, determining the common line corresponding to the any intelligent miniature circuit breaker and the target intelligent miniature circuit breaker with power consumption anomaly according to the topology relationship network corresponding to the charging pile anomaly positioning system, and determining the abnormal power consumption area information of the charging pile according to the common line; when the power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker does not indicate power consumption anomaly, determining the abnormal power consumption area information of the charging pile according to the independent power supply area corresponding to the any intelligent miniature circuit breaker.

[0044] In this embodiment, when judging based on the judgment result of the power consumption anomaly of each target intelligent miniature circuit breaker, if it is found that the judgment result of the power consumption anomaly of the target intelligent miniature circuit breaker indicates that there is power consumption anomaly, it means that there may be abnormal power consumption. At this time, the specific area of abnormal power consumption can be further determined. Since the charging pile anomaly positioning system has a corresponding topological relationship network, which records the connection relationship and line distribution between each intelligent miniature circuit breaker in detail. Therefore, the topological relationship network can be used to find the common line between itself and the target intelligent miniature circuit breaker with power consumption anomaly. The common line refers to the part of the power supply line shared by two or more intelligent miniature circuit breakers. By determining the common line, the range of possible abnormal power consumption can be narrowed down. After determining the common line, the area covered by the common line is further analyzed, and the area is determined as the abnormal power consumption area information of the charging pile. In this way, the specific location of possible abnormal power consumption can be accurately located, providing a clear direction for subsequent troubleshooting and processing.

[0045] If after analyzing the judgment result of the power consumption anomaly of each target intelligent miniature circuit breaker, it is found that there is no judgment result of the power consumption anomaly of the target intelligent miniature circuit breaker indicating that there is power consumption anomaly, it means that the abnormal power consumption does not occur in the common line connected with the target intelligent miniature circuit breaker. In this case, the independent power supply area corresponding to itself can be determined. The independent power supply area refers to the area that the intelligent miniature circuit breaker is solely responsible for power supply and does not share the line with other intelligent miniature circuit breakers. Since there is no feedback of power consumption anomaly from other intelligent miniature circuit breakers, the abnormal power consumption is more likely to occur in the area of the independent power supply of the intelligent miniature circuit breaker. Therefore, according to the related information of the independent power supply area, it is determined as the abnormal power consumption area information of the charging pile. In this way, even in the absence of indication of abnormality by other target intelligent miniature circuit breakers, the possible area of abnormal power consumption can be reasonably determined, ensuring the comprehensiveness and accuracy of abnormal power consumption positioning.

[0046] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to fully explain the specific implementation process of the embodiment, another charging pile abnormal power consumption positioning method is provided, which is applied to a charging pile abnormal power consumption positioning system, as shown in Figure 2 The charging pile abnormal power consumption positioning system can at least include a server 12 and a plurality of intelligent miniature circuit breakers 11. The plurality of intelligent miniature circuit breakers 11 are arranged in a distributed structure. The server 12 can communicate with the plurality of intelligent miniature circuit breakers 11 arranged in a distributed structure.

[0047] In other implementable ways (for example Figure 2The charging pile abnormal power consumption positioning system shown in the mode can also include a base station 13 (for example, an external micro base station 13), and the base station 13 can be connected with multiple smart miniature circuit breakers 11 (that is, multiple miniature circuit breakers 11 distributedly arranged) in a one-to-many mode on the one hand, and can communicate with the server 12 on the other hand, so as to realize the communication between the server 12 and the multiple smart miniature circuit breakers 11. For example, in order to save costs and ensure communication quality, the base station 13 can be an external GPRS (General Packet Radio Service, General Packet Radio Service) base station 13, which includes a LoRa module and a GPRS module. The base station 13 can perform low-power long-distance wireless communication with one or more of the multiple smart miniature circuit breakers 11 through the LoRa module, and can perform wireless communication with the server 12 (for example, communication through a 5G public network) through the GPRS module. Of course, the selection of the base station 13 should not be considered as a limitation of the present application. In order to timely solve the power consumption safety problem, the server 12 can also be connected with an external processing terminal 14, so that the server 12 sends the monitoring information to the processing terminal 14. The processing terminal 14 can be a power control center or a terminal device (such as a smart phone, a personal computer, a tablet computer, etc.) used by a staff.

[0048] It should be noted that, Figure 2 The charging pile abnormal power consumption positioning system shown in the mode can include the server 12, the multiple smart miniature circuit breakers 11, the base station 13, and the processing terminal 14, and can not include the base station 13 and / or the processing terminal 14, so this should not be considered as a limitation of the present application.

[0049] In the embodiment, each smart miniature circuit breaker 11 can monitor the power consumption safety of the line within a certain range, and the multiple smart miniature circuit breakers 11 can be connected through an optical fiber to ensure the stability and timeliness of communication. The structure of the smart miniature circuit breaker 11 is as follows: As Figure 3 shown, the smart miniature circuit breaker 11 can include a monitoring module 111, a first communication module 112, a processing module 113, and a second communication module 114. The monitoring module 111 of the smart miniature circuit breaker 11 can be used to detect the residual current and other information on the corresponding charging pile line, and these information are the first power consumption information.

[0050] Exemplarily, for the monitoring module 111, an electricity safety sensing chip can be used to detect the electricity information on the line. Since the electricity safety sensing chip has the characteristics of small size and high detection accuracy, the detection of the electricity safety on the line can be realized at a low cost. Of course, the hardware selection of the monitoring module 111 here should not be considered as a limitation of the present application. For example, a C-type electricity safety sensing chip or an A-type electricity safety sensing chip can also be selected according to the actual situation, which is not limited here.

[0051] In the embodiment, the first communication module 112 of the intelligent miniature circuit breaker 11 is configured to send the data acquisition request (i.e., the data acquisition request sent by the monitoring module 111) generated by detecting the abnormal electricity to other intelligent miniature circuit breakers 11, and receive the feedback information returned by the other intelligent miniature circuit breakers 11 based on the received data acquisition request.

[0052] Exemplarily, since the first communication module 112 in the embodiment involves communication with other intelligent miniature circuit breakers 11, and in order to ensure the communication quality and stability with other intelligent miniature circuit breakers 11, optical fiber communication is adopted, therefore, the first communication module 112 can select an optical module to realize fast, stable and high-quality communication. However, this should not be considered as a limitation of the present application.

[0053] In the embodiment, the processing module 113 of the intelligent miniature circuit breaker 11 can be configured to determine the delay time between the sending time and the information feedback time, and to process the subsequent data sequence.

[0054] Exemplarily, the processing module 113 can be used to realize the positioning of abnormal electricity, based on which the processing module 113 can use a power radar chip to identify and locate the abnormal electricity. For example, a power radar chip with edge computing capability can be used to synchronize data, locate abnormal electricity, etc. However, the specific selection of the power radar chip can be selected according to actual needs, which should not be considered as a limitation of the present application.

[0055] In the embodiment, the second communication module 114 can be configured to upload the abnormal electricity area information to the server 12.

[0056] Since the second communication module 114 in the embodiment is mainly used to transmit the abnormal electricity area information to the server 12, the second communication module 114 is described here by taking the charging pile abnormal electricity positioning system including the base station 13, the server 12 and the plurality of intelligent miniature circuit breakers 11 as an example.

[0057] For example, multiple intelligent miniature circuit breakers 11 are interconnected via optical fiber, and each intelligent miniature circuit breaker 11 wirelessly communicates with a base station 13, while the base station 13 communicates with a server 12. Taking the base station 13 as an external GPRS base station 13 (including a LoRa module and a GPRS module) and the second communication module 114 of the intelligent miniature circuit breaker 11 as a LoRa module as an example, the intelligent miniature circuit breaker 11 can wirelessly communicate with the LoRa module of the base station 13 through the second communication module 114 (LoRa module) to send abnormal power consumption area information to the base station 13. The GPRS module of the base station 13 can communicate with the server 12 through the 5G public network, thereby sending abnormal power consumption area information to the server 12. By adopting the low-power, long-distance LoRa wireless communication method, the cost can be reduced as much as possible. The base station 13 (including LoRa) and the intelligent miniature circuit breaker 11 form a point-to-many (distributed) network, and the base station 13 uploads the information to the server 12 through the 5G public network to achieve accurate uploading of abnormal power consumption area information.

[0058] In addition, the intelligent miniature circuit breaker 11 provided in this application embodiment may also include some other modules, such as a display module, to display information on abnormal power consumption areas, which is not limited here.

[0059] Furthermore, as Figure 1 In a specific implementation of the method, this application provides a charging pile abnormal power consumption location system, which includes multiple intelligent miniature circuit breakers; the intelligent miniature circuit breakers are used for: Real-time monitoring of the first power consumption information on the corresponding charging pile line; when an abnormality is detected in the first power consumption information, a data acquisition request is generated based on the first power consumption information; multiple target intelligent micro-circuit breakers are identified from the remaining intelligent micro-circuit breakers; the data acquisition request is sent to each target intelligent micro-circuit breaker; and feedback information generated by each target intelligent micro-circuit breaker based on the data acquisition request is received. The information feedback time of each target intelligent miniature circuit breaker is identified from the feedback information corresponding to each target intelligent miniature circuit breaker, and the delay time corresponding to each target intelligent miniature circuit breaker is calculated based on the sending time of the data acquisition request and the information feedback time. Based on the delay time and the transmission time corresponding to each target intelligent miniature circuit breaker, time synchronization processing is performed on each target intelligent miniature circuit breaker. After time synchronization, a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker are obtained. Based on the first power consumption information sequence and the second power consumption information sequence, it is determined whether there is a power consumption abnormality on the charging pile line corresponding to each target intelligent miniature circuit breaker, and a power consumption abnormality judgment result is obtained. Determine the abnormal power consumption area information of the charging pile based on the abnormal power consumption judgment result of each target intelligent miniature circuit breaker.

[0060] Optionally, the intelligent miniature circuit breaker is configured to: Monitor the first power consumption information on the corresponding charging pile line in real time, determine the current type corresponding to the first power consumption information, determine the target abnormal monitoring strategy from the preset abnormal monitoring strategy according to the current type, and determine that the first power consumption information is abnormal when the first power consumption information meets the target abnormal monitoring strategy.

[0061] Optionally, the intelligent miniature circuit breaker includes a power consumption safety sensing chip and an optical module, the power consumption safety sensing chip is configured to collect the first power consumption information, and the optical module is configured to send the data acquisition request to each target intelligent miniature circuit breaker.

[0062] Optionally, the intelligent miniature circuit breaker is further configured to: After determining the abnormal power consumption area information of the charging pile, the abnormal power consumption area information is sent to a target base station through a wireless communication mode, so that the target base station forwards the abnormal power consumption area information to a server through a 5G public network, the server determines a corresponding target processing terminal based on the abnormal power consumption area information, and sends the abnormal power consumption area information to the target processing terminal.

[0063] Optionally, the intelligent miniature circuit breaker is further configured to: Obtain a topological relationship network corresponding to the charging pile abnormal positioning system, locate any intelligent miniature circuit breaker in the topological relationship network, and determine a first intelligent miniature circuit breaker of a preset level in the topological relationship network based on the positioning information, wherein the target intelligent miniature circuit breaker includes the first intelligent miniature circuit breaker; and / or, Obtain historical power consumption information corresponding to each intelligent miniature circuit breaker, perform clustering processing on the intelligent miniature circuit breakers based on the historical power consumption information, obtain a plurality of clustering clusters, determine a target clustering cluster in which the any intelligent miniature circuit breaker is located, and take the intelligent miniature circuit breakers included in the target clustering cluster as second intelligent miniature circuit breakers, wherein the target intelligent miniature circuit breaker includes the second intelligent miniature circuit breaker; and / or, Obtain historical feedback information sent by the remaining intelligent miniature circuit breakers, and determine a third intelligent miniature circuit breaker with a historical delay less than a preset delay threshold based on the historical feedback information, wherein the target intelligent miniature circuit breaker includes the third intelligent miniature circuit breaker.

[0064] Optionally, the intelligent miniature circuit breaker is further configured to: For each second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, the first power consumption information sequence and the second power consumption information sequence are time-aligned, and an abnormal first power consumption information is determined from the first power consumption information sequence, and according to the alignment result, a second power consumption information corresponding to each abnormal first power consumption information is determined from the second power consumption information sequence; For each abnormal first power consumption information, a difference value between the abnormal first power consumption information and the corresponding second power consumption information is compared, and according to the difference value, a power consumption anomaly judgment sub-result corresponding to the second power consumption information is determined; According to the monitoring time of each second power consumption information corresponding to the second power consumption information sequence, a weight value corresponding to each power consumption anomaly judgment sub-result is determined, and according to each power consumption anomaly judgment sub-result and the corresponding weight value, a power consumption anomaly judgment result corresponding to the second power consumption information sequence is determined.

[0065] Optionally, the intelligent miniature circuit breaker further comprises: When the power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker indicates power consumption anomaly, a common line corresponding to the any intelligent miniature circuit breaker and the target intelligent miniature circuit breaker with power consumption anomaly is determined according to the topological relationship network corresponding to the charging pile anomaly positioning system, and the abnormal power consumption area information of the charging pile is determined according to the common line; When the power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker does not indicate power consumption anomaly, the abnormal power consumption area information of the charging pile is determined according to the independent power supply area corresponding to the any intelligent miniature circuit breaker.

[0066] It should be noted that other corresponding descriptions of the various functional units involved in the charging pile abnormal power consumption positioning system provided by the embodiments of the present application can be referred to Figures 1 to 3 the corresponding description in the method, which will not be repeated here.

[0067] The embodiments of the present application also provide a computer device, which can be a personal computer, a server, a network device, etc., as shown in Figure 4 The computer device includes a bus, a processor, a memory and a communication interface, and can further include an input / output interface and a display device. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is used to store location information. The network interface of the computer device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to implement the steps in each method embodiment.

[0068] Those skilled in the art can understand that Figure 4 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0069] In an embodiment, a computer readable storage medium is provided, which can be non-volatile or volatile, and has stored thereon a computer program which, when executed by a processor, implements the steps in any of the above method embodiments.

[0070] In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps in any of the above method embodiments.

[0071] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0072] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0073] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0074] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for locating abnormal power consumption in a charging pile, characterized in that, The method is applied to a charging pile abnormal power consumption location system, which includes multiple intelligent miniature circuit breakers; for any intelligent miniature circuit breaker, the method includes: Real-time monitoring of the first power consumption information on the corresponding charging pile line; when an abnormality is detected in the first power consumption information, a data acquisition request is generated based on the first power consumption information; multiple target intelligent micro-circuit breakers are identified from the remaining intelligent micro-circuit breakers; the data acquisition request is sent to each target intelligent micro-circuit breaker; and feedback information generated by each target intelligent micro-circuit breaker based on the data acquisition request is received. The information feedback time of each target intelligent miniature circuit breaker is identified from the feedback information corresponding to each target intelligent miniature circuit breaker, and the delay time corresponding to each target intelligent miniature circuit breaker is calculated based on the sending time of the data acquisition request and the information feedback time. Based on the delay time and the transmission time corresponding to each target intelligent miniature circuit breaker, time synchronization processing is performed on each target intelligent miniature circuit breaker. After time synchronization, a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker are obtained. Based on the first power consumption information sequence and the second power consumption information sequence, it is determined whether there is a power consumption abnormality on the charging pile line corresponding to each target intelligent miniature circuit breaker, and a power consumption abnormality judgment result is obtained. Based on the power consumption anomaly judgment results corresponding to each target intelligent miniature circuit breaker, the abnormal power consumption area information of the charging pile is determined.

2. The method according to claim 1, characterized in that, The real-time monitoring of the first power consumption information on the corresponding charging pile line includes: The system monitors the first power consumption information on the corresponding charging pile line in real time, determines the current type corresponding to the first power consumption information, determines the target anomaly monitoring strategy from the preset anomaly monitoring strategy based on the current type, and determines that the first power consumption information is abnormal when the first power consumption information meets the target anomaly monitoring strategy.

3. The method according to claim 2, characterized in that, The intelligent miniature circuit breaker includes an electrical safety sensor chip and an optical module. The electrical safety sensor chip is used to collect the first electrical consumption information, and the optical module is used to send the data acquisition request to each target intelligent miniature circuit breaker.

4. The method according to claim 1, characterized in that, After determining the abnormal power consumption area information of the charging pile, the method further includes: The abnormal power consumption area information is transmitted to the target base station via wireless communication, so that the target base station forwards the abnormal power consumption area information to the server via the 5G public network. The server determines the corresponding target processing terminal based on the abnormal power consumption area information and sends the abnormal power consumption area information to the target processing terminal.

5. The method according to claim 1, characterized in that, The process of identifying multiple target intelligent miniature circuit breakers from the remaining intelligent miniature circuit breakers includes: Obtain the topology network corresponding to the charging pile anomaly location system, locate any one of the intelligent miniature circuit breakers in the topology network, and determine the first intelligent miniature circuit breaker at a preset level in the topology network based on the location information, wherein the target intelligent miniature circuit breaker includes the first intelligent miniature circuit breaker; and / or, Historical electricity consumption information corresponding to each intelligent miniature circuit breaker is obtained. Based on the historical electricity consumption information, the intelligent miniature circuit breakers are clustered to obtain multiple clusters. A target cluster is determined for any intelligent miniature circuit breaker, and the intelligent miniature circuit breakers included in the target cluster are designated as second intelligent miniature circuit breakers. The target intelligent miniature circuit breakers include the second intelligent miniature circuit breakers; and / or, Obtain historical feedback information sent by the remaining intelligent miniature circuit breakers, and based on the historical feedback information, determine a third intelligent miniature circuit breaker whose historical delay is less than a preset delay threshold, wherein the target intelligent miniature circuit breaker includes the third intelligent miniature circuit breaker.

6. The method according to claim 1, characterized in that, The process of acquiring a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker, and determining whether there is a power consumption anomaly on the charging pile line corresponding to each target intelligent miniature circuit breaker based on the first power consumption information sequence and the second power consumption information sequence, to obtain a power consumption anomaly judgment result, includes: For each target intelligent miniature circuit breaker, the first power consumption information sequence and the second power consumption information sequence are time aligned, and abnormal first power consumption information is determined from the first power consumption information sequence. Based on the alignment result, the second power consumption information corresponding to each abnormal first power consumption information is determined from the second power consumption information sequence. For each abnormal first power consumption information, compare the difference between the abnormal first power consumption information and the corresponding second power consumption information, and determine the power consumption abnormality judgment sub-result corresponding to the second power consumption information based on the difference value; Based on the monitoring time of each second electricity consumption information corresponding to the second electricity consumption information sequence, determine the weight value corresponding to each electricity consumption anomaly judgment sub-result, and determine the electricity consumption anomaly judgment result corresponding to the second electricity consumption information sequence based on each electricity consumption anomaly judgment sub-result and the corresponding weight value.

7. The method according to claim 1, characterized in that, The determination of abnormal power consumption areas of the charging pile based on the power consumption anomaly judgment results corresponding to each target intelligent miniature circuit breaker includes: When the power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker indicates a power consumption anomaly, the common line corresponding to any intelligent miniature circuit breaker and the target intelligent miniature circuit breaker with power consumption anomaly is determined according to the topology network corresponding to the charging pile anomaly positioning system, and the abnormal power consumption area information of the charging pile is determined according to the common line. When there is no power consumption anomaly judgment result corresponding to the target intelligent miniature circuit breaker indicating a power consumption anomaly, the abnormal power consumption area information of the charging pile is determined according to the independent power supply area corresponding to any intelligent miniature circuit breaker.

8. A charging pile abnormal power consumption location system, characterized in that, The abnormal power consumption location system for the charging pile includes multiple intelligent miniature circuit breakers; the intelligent miniature circuit breakers are used for: Real-time monitoring of the first power consumption information on the corresponding charging pile line; when an abnormality is detected in the first power consumption information, a data acquisition request is generated based on the first power consumption information; multiple target intelligent micro-circuit breakers are identified from the remaining intelligent micro-circuit breakers; the data acquisition request is sent to each target intelligent micro-circuit breaker; and feedback information generated by each target intelligent micro-circuit breaker based on the data acquisition request is received. The information feedback time of each target intelligent miniature circuit breaker is identified from the feedback information corresponding to each target intelligent miniature circuit breaker, and the delay time corresponding to each target intelligent miniature circuit breaker is calculated based on the sending time of the data acquisition request and the information feedback time. Based on the delay time and the transmission time corresponding to each target intelligent miniature circuit breaker, time synchronization processing is performed on each target intelligent miniature circuit breaker. After time synchronization, a first power consumption information sequence and a second power consumption information sequence corresponding to each target intelligent miniature circuit breaker are obtained. Based on the first power consumption information sequence and the second power consumption information sequence, it is determined whether there is a power consumption abnormality on the charging pile line corresponding to each target intelligent miniature circuit breaker, and a power consumption abnormality judgment result is obtained. Based on the power consumption anomaly judgment results corresponding to each target intelligent miniature circuit breaker, the abnormal power consumption area information of the charging pile is determined.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

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