Direct current charging pile safety management method and system

Abstract

The invention relates to the technical field of charging piles, in particular to a direct current charging pile safety management method and system, and the method comprises the following steps: determining the operation parameter information of a to-be-monitored direct current charging pile, and constructing a multi-dimensional data layout based on the operation parameter information; acquiring operation parameter information of the to-be-monitored direct current charging pile in different operation states, and drawing on the corresponding data layout based on the operation parameter information to obtain a plurality of track graph streams; setting a calling rule for the plurality of track graph streams; current operation parameter information of the charging pile is collected, a real-time graph flow formed by the current operation parameter information in the data layout is obtained, and the real-time graph flow and the multiple track graph flows are compared and analyzed based on the calling rule; identifying an information point position deviating from the standard track graph in the current real-time graph stream to obtain a deviation symptom point; the accuracy of abnormality diagnosis of the charging pile can be improved, and the effect of safety management of the charging pile is improved.

Description

Technical Field

[0001] This invention relates to the field of charging pile technology, specifically to a method and system for the safety management of DC charging piles. Background Technology

[0002] With the rapid development of new energy vehicles, DC charging piles, as core infrastructure, have attracted widespread attention regarding their operational safety and reliability. If charging piles have safety hazards, they could potentially cause accidents such as fires. Therefore, assessing the safety status of charging piles is a necessary measure to prevent such accidents.

[0003] Traditional charging pile safety management systems simply monitor the relevant parameters of each charging pile independently and judge whether the charging pile is safe based on a simple threshold mechanism. This approach ignores the interrelationship between different monitoring parameters, which can easily lead to misjudgments and omissions, thus affecting the accuracy of abnormal diagnosis of charging piles and consequently the effectiveness of charging pile safety management.

[0004] Therefore, we propose a safety management method and system for DC charging piles to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for the safety management of DC charging piles, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method and system for safety management of DC charging piles, the method comprising the following steps: Determine the operating parameters of the DC charging pile to be monitored, and construct a multi-dimensional data layout based on the operating parameters. The system acquires the operating parameter information of the DC charging pile under different operating states, and draws multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include a standard trajectory graphic stream and multiple non-standard trajectory graphic streams. Calling rules are set for the multiple trajectory graphic streams. Collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, and compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules; identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine the hidden faults based on the deviation sign points; Based on the latent fault, the corresponding early warning signal is triggered. At the same time, the preset operation and maintenance strategy corresponding to the fault type is automatically matched and executed.

[0007] Preferably, the step of determining the operating parameter information of the DC charging pile to be monitored and constructing a multi-dimensional data layout based on the operating parameter information includes: The system collects and stores the operating parameter information of the DC charging piles to be monitored in the database. The operating parameter information includes various types of operating parameters and their corresponding real-time operating parameter values. The database is divided into multiple type areas, where each type area corresponds to a type of runtime parameter. A time-series information chain set is set for each type of region, and the time-series information chain sets of all types of regions are spatially arranged to form a data layout.

[0008] Preferably, the step of setting a time-series information chain set for each type of region includes: For each type of region, multiple information points and one movement point are set. Each information point is used to carry a running parameter value, and the movement point is configured to move between information points on different time-series information chains within the corresponding type of region. Within the same time window, all information points and their associated values ​​within a given type of region are considered as an information chain. Based on the time sequence, the information chains corresponding to multiple consecutive time windows are arranged to form a time sequence information chain set for the corresponding type of region.

[0009] Preferably, the step of acquiring the operating parameter information of the DC charging pile to be monitored under different operating states, and drawing multiple trajectory graphic flows on the corresponding data panel based on the operating parameter information includes: The system acquires historical time-series operating parameter information of DC charging piles under various preset operating states, including at least one standard operating state and various known non-standard fault states. The timing parameters of each running state are divided according to a preset time window length; for each time window, the data of the same parameter type within the time window are mapped into a parameter trajectory in the data panel, and a parameter trajectory graph of that parameter type is generated under the time window. For the same time window, multiple parameter trajectory graphs of different parameter types are associated and combined according to their spatial position in the data layout to generate a comprehensive trajectory graph; Multiple composite trajectory graphs corresponding to different time windows are arranged in chronological order according to their corresponding time windows to form a trajectory graph flow; The trajectory graphic stream corresponding to the standard operating state is marked as the standard trajectory graphic stream; the trajectory graphic stream corresponding to the non-standard fault state is marked as the non-standard trajectory graphic stream, and a specific fault mode label is associated with each non-standard trajectory graphic stream. The fault mode label is used to identify the fault type.

[0010] Preferably, the step of setting calling rules for multiple trajectory graphic streams includes: The trajectory graphics in multiple trajectory graphic streams are bound to the corresponding moving points in the data layout, and the moving points carry the corresponding trajectory graphics and move synchronously. During synchronous movement, the segments formed by the real-time trajectory of the moving point are compared with the segments of the corresponding time window of the carried graphic stream; When the current information point of a moving point is detected to overlap with a specific information point in any non-standard trajectory graphic stream among multiple trajectory graphic streams, the overlapping information point is taken as a deviation sign point. All non-standard trajectory graphic streams containing deviation sign points are acquired and fixed at the current information point of the moving point. The movement trajectory graphics of multiple moving points in different time windows are continuously monitored to obtain the deviation sign point trajectory graphic stream. The fault type corresponding to the non-standard trajectory graphic stream that is consistent with the deviation sign point trajectory graphic stream is taken as a latent fault. When the current information point of the moving point is detected to overlap with a specific information point in the standard trajectory graphic stream, the moving point continues to move synchronously with the trajectory graphic stream.

[0011] Preferably, the steps of collecting the current operating parameter information of the charging pile, obtaining the real-time graphic stream formed by the current operating parameter information in the data panel, comparing and analyzing the real-time graphic stream with multiple trajectory graphic streams based on the calling rules, identifying information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determining hidden faults based on deviation sign points include: Real-time collection of various operating parameters of charging piles, mapping current time-series parameter information to a multi-dimensional data panel to form a current real-time graphical stream; According to the preset calling rules, one or more trajectory graphic streams in the trajectory graphic stream library are determined and compared and analyzed with the current real-time graphic stream; Identify and mark information points in the current real-time graphics stream that deviate from the standard trajectory graphics stream as deviation sign points; Based on the correlation analysis of deviation sign points and the invoked non-standard trajectory graphic stream, the most likely fault type is determined according to the type, number, spatial distribution of deviation sign points and their matching degree with the specific non-standard trajectory graphic stream, and is identified as a latent fault.

[0012] Preferably, the step of triggering a corresponding early warning signal based on a latent fault, and automatically matching and executing a preset operation and maintenance strategy corresponding to the fault type includes: Obtain the fault mode labels corresponding to various known non-standard fault states, configure one or more candidate operation and maintenance strategies for each fault mode label, and generate a mapping relationship library between fault mode labels and candidate operation and maintenance strategy sets. The operation and maintenance strategy corresponding to the fault mode label of the latent fault is determined based on the mapping relationship library. The operation and maintenance strategy includes at least one early warning trigger instruction and one device control instruction sequence. Based on the operation and maintenance strategy, an early warning signal is activated, and at the same time, the charging pile is driven to perform corresponding safety operations.

[0013] A DC charging pile safety management system, applied to any one of the DC charging pile safety management methods described above, includes: A construction module is used to determine the operating parameter information of the DC charging pile to be monitored, and to construct a multi-dimensional data layout based on the operating parameter information; The configuration module is used to acquire the operating parameter information of the DC charging pile to be monitored under different operating states, and draw multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include a standard trajectory graphic stream and multiple non-standard trajectory graphic streams; and set calling rules for multiple trajectory graphic streams. The diagnostic module is used to collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules, identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine hidden faults based on deviation sign points. The management module is used to trigger corresponding early warning signals based on latent faults, and at the same time, automatically match and execute preset operation and maintenance policies corresponding to the fault type.

[0014] Compared with the prior art, the beneficial effects of the present invention are: By constructing a multi-dimensional data platform, heterogeneous time-series monitoring data from multiple sources are transformed into a unified graphical model with clear spatiotemporal relationships. This reduces the impact on the accuracy of charging pile safety diagnosis caused by the difficulty in jointly analyzing multi-parameter data. Historical data and fault cases are extracted into a visualized trajectory graphical flow knowledge base. Through feature point triggering, template tracking and comparison, symptom trajectory synthesis, and overall pattern matching, the safety of charging piles is diagnosed. By jointly monitoring and analyzing multiple parameters, progressive faults can be detected and accurately classified at an early stage. The safety management mode is upgraded from passive threshold alarm to proactive intelligent diagnosis, providing early warning of DC charging pile faults and improving the accuracy of abnormal diagnosis of charging piles, thereby improving the effectiveness of charging pile safety management. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 This is a system structure block diagram of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] For examples, please refer to Figures 1 to 2 This invention provides a method and system technical solution for the safety management of DC charging piles: A method for the safety management of DC charging piles includes the following steps: S1: Determine the operating parameter information of the DC charging pile to be monitored, and construct a multi-dimensional data layout based on the operating parameter information; The steps of determining the operating parameter information of the DC charging pile to be monitored and constructing a multi-dimensional data layout based on the operating parameter information include: collecting the operating parameter information of the DC charging pile to be monitored and storing it in a database, wherein the operating parameter information includes multiple operating parameter types and their corresponding real-time operating parameter values; dividing the database into multiple type regions, wherein each type region corresponds to one type of operating parameter; setting a time-series information chain set for each type region, and spatially arranging the time-series information chain sets of all type regions to form a data layout; The steps for setting a time-series information chain set for each type of region include: setting multiple information points and one movement point for each type of region, wherein each information point is used to carry a running parameter value, and the movement point is configured to move between information points on different time-series information chains within the corresponding type of region; taking all information points and the values ​​laid on them in a type of region within the same time window as an information chain, and arranging the information chains corresponding to multiple consecutive time windows based on time order to form a time-series information chain set for the corresponding type of region; Specifically, the system collects the operating parameter types and corresponding operating parameter values ​​of the DC charging piles to be monitored, and stores the operating parameter types and values ​​in the corresponding database. Based on the operating parameter types, the database is divided into multiple type regions. For each type region, multiple information points and one moving point are set. Each information point corresponds to an operating parameter value. Multiple operating parameter values ​​are sequentially placed on the information points according to their magnitude. The moving point can move on the information points. The starting point of the moving point is determined based on the initial operating parameter value of the corresponding operating parameter type at the start of monitoring. Multiple information points in multiple type regions constitute a data layout. Multiple information points form an information chain. There are multiple information chains in one type region. The information chains are sorted according to time slices. Each time window corresponds to one time slice. Multiple operating parameter values ​​corresponding to the operating parameter type are placed on the information points on each information chain. The values ​​placed on the information points include the current value, historical fault values, standard values, and possible operating parameter values ​​for the corresponding operating parameter type. Time is sliced ​​into windows, and the position of each moving point in the type region corresponding to the corresponding operating parameter type is determined according to the time window. A mobile point is independently configured for each type of region; the movement range of each mobile point is configured to include all information points on all time-series information chains within its type region, and multiple information points are connected to form an information point network, allowing the mobile point to move arbitrarily across the network; the switching of time slices is configured as an instruction to trigger the mobile point to perform a movement action; in response to the time slice switching from the current slice to the next slice, based on the real-time parameter values ​​collected in the next slice, the mobile point is repositioned from its current position on the current time-series information chain to the time corresponding to the next slice. The target information points on the sequential information chain enable the moving point to be constructed to perform time-driven, discrete, jump-like movements between multiple information points on different time-series information chains. The repositioning logic specifically involves: calculating the absolute difference between the real-time parameter value and the value carried by each information point on the time-series information chain corresponding to the next time slice; selecting the information point with the smallest absolute difference and configuring it as the target information point for this movement. The moving point is configured with a graphical identifier in the visualization interface that distinguishes it from static information points. The graphical identifier includes a highlighted icon, a dynamic arrow, or different colors. The cursor; the movement of the moving point is further configured to prohibit crossing different type areas, and each moving point only moves within its configured single type area. A moving point object with the moving rules is instantiated in the multidimensional data panel for each running parameter type. During monitoring, in response to the time slice switching event, each moving point object is driven to perform positioning movement across the time sequence information chain. The movement trajectory of the moving point is used as the running parameter change trajectory of the corresponding running parameter type. Multiple moving points in the same time window are connected to obtain a moving point network for the corresponding time window. The moving point networks of different time windows form a trajectory graphic flow. During the movement of the moving point, the symptom points consistent with the movement trajectory of the moving point can be directly determined. Multiple data are associated and combined. Based on the trajectory of the moving point network obtained after association, the possible fault conditions corresponding to the abnormality of the moving point can be judged in advance. This allows managers to prepare in advance and issue early warnings before the running parameters are abnormal, improving the accuracy of safety monitoring. After an anomaly occurs, the possible fault can be determined more quickly, thereby improving the efficiency of operation and maintenance in abnormal situations and thus improving the efficiency of safety management of DC charging piles.

[0019] Specifically, each operating parameter type represents a specific dimension of the charging pile's operating status, such as output voltage, output current, power module temperature, DC bus voltage, and insulation resistance value. Different parameter types collectively constitute a joint observation of the charging pile's operating status. Operating parameter values ​​refer to the specific measured or calculated values ​​of a particular operating parameter type at a specific sampling time; they are discrete data points that change over time and are the basic data units for constructing all graphical elements. The database is a structured data storage system used to store, organize, and manage the operating parameter types and their corresponding time-series operating parameter values. Logically, the database is divided into multiple interconnected but independent sub-storage structures, i.e., type regions. Each type region is an independent data sub-region logically divided according to the operating parameter type within the database. Each type region corresponds to one and only one operating parameter type, providing an independent data management and operation space for each parameter. For example, all "output voltage" values ​​are stored and manipulated within the "output voltage type area." Information points are static graphical markers located within a specific type area in the multidimensional data layout. Each information point is assigned an attribute to carry the value of the operating parameter; the information point is the basic coordinate point of the data layout. It is not the data itself, but a "location slot" or "container." The values ​​of the operating parameters (such as current values, historical fault values, and standard values) are "laid out" or "mapped" onto these points, giving them specific numerical meaning and visual location. Multiple information points are arranged according to rules, forming the static background grid of the data layout. A moving point is a movable graphical marker dynamically configured within a certain type area in the multidimensional data layout. Its position is dynamically determined by the real-time or historical values ​​of the corresponding operating parameter type. The moving point is a graphical representation of the real-time data stream. At each point in time, based on the collected real-time parameter values, it is positioned at a specific information point on the information chain of the current time window within its type area. As time progresses, the moving point jumps between information chains in different time windows, and its trajectory intuitively reflects the change process of the parameter. An information chain is a static snapshot formed by the collection of all information points and their current values ​​within a type of region within the same time window. An information chain is a cross-section of the data layout at a specific moment (or a very short time period). It shows all possible numerical reference points (information points) for the parameter and their states at that moment. A time-series information chain set is a sequence formed by arranging information chains generated in multiple consecutive time windows for a type of region in chronological order. The time-series information chain set constitutes a historical view of the data for that type of region.Like a film reel, each frame is an information chain (time snapshot), and continuous playback reveals the evolution of the parameter value over time. The multidimensional data layout organizes the time-series information chains of all types of regions according to preset spatial arrangement rules (such as side-by-side or matrix), forming a unified and structured visualization and analysis plane. The data layout integrates information from multiple parameters (different "type regions"), multiple times ("time-series information chains"), and multiple states (different values ​​laid out on information points) within a unified framework. It serves as both the data visualization interface and the foundation for subsequent computational models for graphic matching, trajectory extraction, and fault diagnosis. Moving points move on it, and trajectory graphic flows are superimposed and compared. A time window is a discrete time unit set for data organization and analysis. The monitoring time axis is divided into a series of continuous or partially overlapping time windows. It serves as the time reference for constructing information chains and time-series information chain sets. Each information chain corresponds to a time window. Within each time window, the moving point has a defined position (located at a specific point on the information chain within that window). Multiple information points constitute an information chain, and these multiple information chains form a time-series information chain set. The time-series information chain sets of multiple types of regions are arranged to form a multi-dimensional data layout. On the data layout, the moving point moves between information points on different information chains as the time window changes, forming a trajectory. Through graphical pattern recognition and intelligent reasoning, the safety management of DC charging piles achieves early, accurate, and automated fault diagnosis and maintenance, effectively improving the operational reliability, safety, and maintenance efficiency of charging piles. S2: Obtain the operating parameter information of the DC charging pile to be monitored under different operating states, and draw multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include standard trajectory graphic streams and multiple non-standard trajectory graphic streams; set calling rules for multiple trajectory graphic streams. The steps of acquiring the operating parameter information of the DC charging pile under different operating states and drawing multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information include: acquiring historical time-series operating parameter information of the DC charging pile under multiple preset operating states, wherein the operating states include at least one standard operating state and multiple known non-standard fault states; dividing the time-series operating parameter information of each operating state into a preset time window length; for each time window, mapping the data of the same parameter type within the time window to a parameter trajectory on the data panel, generating a parameter trajectory graphic of that parameter type under that time window; for the same time window... Multiple parameter trajectory graphs of different parameter types are associated and combined according to their spatial position in the data layout to generate a comprehensive trajectory graph representing the joint state of multiple parameters within a time window. Multiple comprehensive trajectory graphs corresponding to different time windows are arranged in chronological order of their corresponding time windows to form a temporally continuous trajectory graph stream. The trajectory graph stream corresponding to the standard operating state is marked as the standard trajectory graph stream. The trajectory graph stream corresponding to the non-standard fault state is marked as the non-standard trajectory graph stream, and a specific fault mode label is associated with each non-standard trajectory graph stream. The fault mode label is used to identify the fault type.

[0020] Specifically, mapping a parameter trajectory in the data layout involves: determining the information points on the information chain of the corresponding type area in the data layout based on the parameter values ​​at each sampling time within the time window, and connecting these points in chronological order to form the parameter trajectory graphic; generating the comprehensive trajectory graphic includes: drawing trajectory graphics of different parameter types in their corresponding type areas in the data layout, and indicating that they belong to the same time window with a consistent visual style or connecting lines; selecting fault mode labels from a predefined set of fault modes, including but not limited to module overheating, output overvoltage, insulation failure, and communication anomalies; each comprehensive trajectory graphic is an independently callable graphic unit, which can be enabled individually or bound to a moving point in subsequent diagnosis; a parameter trajectory graphic refers to the trajectory graphics of the same parameter type under different time windows, associating trajectory graphics of different parameter types under the same time window to obtain a trajectory graphic, and sorting multiple trajectory graphics under different time windows in chronological order to obtain a trajectory graphic stream, with the trajectory graphic stream corresponding to the standard operating state as the standard trajectory graphic stream, and the trajectory graphics corresponding to the non-standard fault state as the non-standard trajectory graphic stream.

[0021] The steps for setting calling rules for multiple trajectory graphic streams include: binding the trajectory graphics in multiple trajectory graphic streams to the corresponding moving points in the data layout; the moving points carrying the corresponding trajectory graphics move synchronously; during the synchronous movement, the segments formed by the real-time trajectory of the moving points are compared with the segments of the corresponding time windows of the graphic streams they carry; when it is detected that the current information point of the moving point overlaps with a specific information point in any non-standard trajectory graphic stream among the multiple trajectory graphic streams, the overlapping information point is taken as a deviation sign point; all non-standard trajectory graphic streams containing deviation sign points are acquired and fixed at the current information point of the moving point; (fixing here means that from this point onwards, the moving point's trajectory graphic is compared with the non-standard trajectory graphic, and during the subsequent continuous movement of the moving point, the information point of the moving point in the next time window is compared with the information point in the second time window of the non-standard trajectory graphic to determine whether the two information points are consistent; the moving point moves while simultaneously comparing its corresponding movement trajectory graphic with multiple...) By comparing multiple possible non-standard trajectory graphic streams, the non-standard trajectory graphic streams of multiple deviation sign points are continuously identified, thereby determining the possible fault type corresponding to the movement trajectory graphic of the moving point. Unbinding the non-standard trajectory graphic streams containing deviation sign points is to determine whether subsequent anomalies are within a fixed non-standard trajectory graphic stream. Based on the non-standard trajectory graphic stream, the possible fault type corresponding to the movement point trajectory can be determined in real time, thereby enabling early preparation and early warning, improving the efficiency and accuracy of subsequent safety management. Continuous monitoring of the movement trajectory graphics of multiple moving points in different time windows yields deviation sign point trajectory graphic streams. The fault type corresponding to the non-standard trajectory graphic stream that is consistent with the deviation sign point trajectory graphic stream is identified as a latent fault (consistency here includes consistency of information points and consistency of the trajectory graphics formed by information points in different time windows). When it is detected that the current information point of the moving point overlaps with a specific information point in the standard trajectory graphic stream, the moving point continues to move synchronously with the trajectory graphic stream.

[0022] Specifically, a trigger condition is set for enabling the graphic stream. The trigger condition is that the current information point of the moving point overlaps with the information point in the bound non-standard trajectory graphic stream. The trajectory graphic in the trajectory graphic stream is obtained, and the trajectory graphic is bound to the corresponding moving point. The moving point drives the corresponding trajectory graphic to move synchronously. It is determined whether the moving point at its current position is compared with the content in the trajectory graphic. When there is an information point that overlaps with the non-standard trajectory graphic, the trajectory graphic stream is fixed at that position. At the same time, the overlapping information point is regarded as a deviation sign point (meaning that the information point where the moving point currently overlaps with the non-standard trajectory graphic is regarded as a deviation sign point). The moving point continues to move until all deviation sign points are obtained and connected to form a deviation sign point trajectory graphic stream (the deviation sign point trajectory graphic stream refers to the graphics corresponding to the deviation sign point trajectories of multiple moving points in different time windows). The fault type corresponding to the non-standard trajectory graphic stream that is consistent with the deviation from the symptom point trajectory is regarded as a latent fault. When it is consistent with the standard trajectory graphic, it continues to move synchronously with the trajectory graphic stream. During the movement of the trajectory graphic stream, the types of operating parameters in the trajectory graphic are located in the corresponding type regions. During the movement of the trajectory graphic stream, the starting point of time in the trajectory image stream is consistent with the current position of the moving point. The time order of the trajectory image stream is not the real-time time order, but the time order of parameter changes. For operations with fixed graphics, it is also configured to trigger a primary warning related to the non-standard trajectory graphic. After the latent fault is determined, it is configured to trigger a higher-level confirmed warning corresponding to the type. The connection logic of the deviation symptom points is based on the type of operating parameters they belong to and the time window in which they are discovered. They are connected by time within the same type region, and they are associated between cross-type regions through time synchronization.

[0023] S3: Collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, and compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules; identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine hidden faults based on deviation sign points; The process involves collecting current operating parameter information of charging piles, obtaining a real-time graphical stream of this information on a data platform, and comparing and analyzing this real-time graphical stream with multiple trajectory graphical streams based on calling rules. The steps to identify deviation points in the current real-time graphical stream that deviate from the standard trajectory are then used to determine latent faults. These steps include: real-time collection of multiple types of operating parameters from the charging piles; mapping the current time-series parameter information to a multi-dimensional data platform to form the current real-time graphical stream (forming the current real-time graphical stream includes: dividing the time window according to the same rules as building the trajectory graphical stream library and associating multiple parameters). Then, the real-time parameter information is generated into a streaming sequence composed of continuous integrated trajectory graphics; according to the preset calling rules, one or more trajectory graphics streams in the trajectory graphics stream library are determined and compared with the current real-time graphics stream; information points in the current real-time graphics stream that deviate from the standard trajectory graphics stream are identified and marked as deviation symptom points; based on the deviation symptom points and the called non-standard trajectory graphics streams, correlation analysis is performed, and according to the type, number, spatial distribution of deviation symptom points and their matching degree with specific non-standard trajectory graphics streams, the most likely fault type is determined as a latent fault.

[0024] It should be noted that, based on the real-time changing trend of the current real-time graphic stream, the possible matching fault modes are predicted, and the corresponding non-standard trajectory graphic stream is called in advance for a forward comparison with the current real-time graphic stream; the content of identifying deviation signs is as follows: the current real-time graphic stream and the non-standard trajectory graphic stream are judged point by point or segment by segment, including judging the overlapping information points and the order of overlap of information points, and marking the information points in the overlapping continuous or discrete graphic segments as deviation signs. The specific content of the correlation analysis based on deviation sign points and the invoked non-standard trajectory graphic stream is as follows: Taking the deviation sign point as the anchor point, the subsequent trajectory segments of the current real-time graphic stream starting from the anchor point are compared with the segments of the invoked non-standard trajectory graphic stream starting from the corresponding feature point in terms of shape and trend similarity. The fault mode label associated with the non-standard trajectory graphic stream with the highest similarity is determined as the latent fault. After determining the latent fault, the subsequent development of the current real-time graphic stream is monitored. If the subsequent trajectory continues to match the determined non-standard trajectory graphic stream, the confidence of the latent fault is increased and an early warning is triggered. If the subsequent trajectory deviates, the trajectory graphic stream is re-invoked for comparison. The correlation analysis comparison process is not a one-time static comparison, but a dynamically triggered and continuously verified intelligent process, which enables trend prediction. By setting the moving point to carry the trajectory graphic stream synchronously and starting the comparison with the current position of the moving point as the time starting point, dynamic and online template matching can be achieved. The process of overlaying abnormal curves of abnormal operating parameters onto real-time curves for sliding comparison enables real-time monitoring of charging pile fault diagnosis alongside abnormal processes, improving the timeliness of diagnosis. By identifying deviation symptom points and connecting them to generate a fault symptom point trajectory graphic stream, a continuous, multi-parameter correlated fault evidence chain can be automatically constructed from discrete abnormal signals, transforming single-point alarms into trend-based and correlated fault evolution path analysis, thereby improving the accuracy of fault prediction and early warning capabilities.

[0025] S4: Based on the latent fault, trigger the corresponding early warning signal, and at the same time, automatically match and execute the preset operation and maintenance strategy corresponding to the fault type; The steps for triggering a corresponding early warning signal based on a latent fault, and automatically matching and executing a preset operation and maintenance strategy corresponding to the fault type, include: obtaining fault mode labels corresponding to various known non-standard fault states, configuring one or more candidate operation and maintenance strategies for each fault mode label, and generating a mapping relationship library between fault mode labels and candidate operation and maintenance strategy sets; determining the operation and maintenance strategy corresponding to the fault mode label of the latent fault based on the mapping relationship library, wherein the operation and maintenance strategy includes at least one early warning triggering instruction and one device control instruction sequence; activating the early warning signal based on the operation and maintenance strategy, and simultaneously driving the charging pile to perform corresponding safety operations; Specifically, the system acquires fault mode labels corresponding to various known non-standard fault states and configures one or more candidate maintenance strategies for each fault mode label, forming a mapping relationship library of "fault mode label - candidate maintenance strategy set"; it receives diagnostic results containing latent faults output by the fault diagnosis module; it extracts the associated fault mode labels from the diagnostic results as target fault labels; it queries the mapping relationship library using the target fault label as an index; it determines a unique target maintenance strategy from the queried candidate maintenance strategy set; it decomposes the target maintenance strategy into at least one early warning trigger command and one device control command sequence, activates the corresponding early warning signal; and simultaneously drives the charging pile to execute... The system performs corresponding safety operations to complete the safe operation and maintenance management of the target charging pile; it drives the charging pile to perform corresponding safety operations, including but not limited to: setting the upper limit of output current, disconnecting a specified contactor, switching communication links, and uploading specific fault codes. It can quickly determine the operation and maintenance strategy corresponding to the fault type of the current charging pile based on historical operation and maintenance strategies, thereby improving the efficiency of operation and maintenance management of charging piles with faults. By dynamically and accurately mapping the diagnostic results (fault mode labels) with the preset hierarchical operation and maintenance strategies, it can automatically trigger differentiated early warning signals and execute controls according to the fault type, reducing delays and misjudgments caused by manual intervention, and improving the reliability, safety, and intelligent level of operation and maintenance management of DC charging piles.

[0026] This invention, through the construction of a multi-dimensional data layout, transforms multi-source heterogeneous time-series monitoring data into a graphical model with a unified structure and clear spatiotemporal relationships. This reduces the impact of the difficulty in jointly analyzing multi-parameter data on the accuracy of charging pile safety diagnosis. It automatically extracts historical data and fault cases into a visualized trajectory graphical flow knowledge base. Through feature point triggering, template tracking and comparison, symptom trajectory synthesis, and overall pattern matching, it diagnoses the safety of charging piles. By jointly monitoring and analyzing multiple parameters, it enables early detection and accurate classification of progressive faults, upgrading the safety management mode from passive threshold alarms to proactive intelligent diagnosis. It provides early warnings for DC charging pile faults, improves the accuracy of abnormal diagnosis of charging piles, and thus enhances the effectiveness of charging pile safety management.

[0027] A DC charging pile safety management system, applied to any one of the DC charging pile safety management methods described above, includes: A construction module is used to determine the operating parameter information of the DC charging pile to be monitored, and to construct a multi-dimensional data layout based on the operating parameter information; The configuration module is used to acquire the operating parameter information of the DC charging pile to be monitored under different operating states, and draw multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include a standard trajectory graphic stream and multiple non-standard trajectory graphic streams; and set calling rules for multiple trajectory graphic streams. The diagnostic module is used to collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules, identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine hidden faults based on deviation sign points. The management module is used to trigger corresponding early warning signals based on latent faults, and at the same time, automatically match and execute preset operation and maintenance policies corresponding to the fault type.

[0028] This invention performs joint monitoring of multiple types of parameters, laying out the parameters into a data panel. Based on the positions of multiple moving points, it determines the trajectory graphics corresponding to multiple parameters at different time periods, obtaining a real-time trajectory graphic stream. Standard and non-standard trajectory graphics are pre-drawn on the data panel and bound to the corresponding moving points. The overlap information between the trajectory graphics of moving points deviating from the standard and the non-standard trajectory graphics is determined. The overlap information includes the overlapping information points and the order of overlap. Based on the overlap information, the possible fault types are determined, and early warnings are issued, as well as corresponding operation and maintenance strategies are determined. Through multi-parameter joint monitoring (abnormal parameters jointly reflect the safety status of the charging pile), when the operating status parameters change, the possible fault types are identified. Based on the possible fault types, the corresponding operation and maintenance strategies are matched during the early warning, thereby preparing operation and maintenance tools and methods in advance, improving operation and maintenance management efficiency. By jointly diagnosing the safety status of the charging pile through multiple parameters, the accuracy of the safety judgment of the charging pile is improved.

[0029] 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.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A safety management method for DC charging piles, characterized in that, Includes the following steps: Determine the operating parameters of the DC charging pile to be monitored, and construct a multi-dimensional data layout based on the operating parameters. The system acquires the operating parameter information of the DC charging pile under different operating states, and draws multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include a standard trajectory graphic stream and multiple non-standard trajectory graphic streams. Calling rules are set for the multiple trajectory graphic streams. Collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, and compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules; identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine the hidden faults based on the deviation sign points; Based on the hidden fault, the corresponding early warning signal is triggered, and at the same time, the preset operation and maintenance strategy corresponding to the fault type is automatically matched and executed.

2. The method for safety management of DC charging piles according to claim 1, characterized in that: The steps of determining the operating parameter information of the DC charging pile to be monitored and constructing a multi-dimensional data layout based on the operating parameter information include: The system collects and stores the operating parameter information of the DC charging piles to be monitored in the database. The operating parameter information includes various types of operating parameters and their corresponding real-time operating parameter values. The database is divided into multiple type areas, where each type area corresponds to a type of runtime parameter. A time-series information chain set is set for each type of region, and the time-series information chain sets of all types of regions are spatially arranged to form a data layout.

3. The method for safety management of DC charging piles according to claim 2, characterized in that: The step of setting a time-series information chain set for each type of region includes: For each type of region, multiple information points and one movement point are set. Each information point is used to carry a running parameter value, and the movement point is configured to move between information points on different time-series information chains within the corresponding type of region. Within the same time window, all information points and their associated values ​​within a given type of region are considered as an information chain. Based on the time sequence, the information chains corresponding to multiple consecutive time windows are arranged to form a time sequence information chain set for the corresponding type of region.

4. The method for safety management of DC charging piles according to claim 1, characterized in that: The step of acquiring the operating parameter information of the DC charging pile to be monitored under different operating states, and drawing multiple trajectory graphic flows on the corresponding data panel based on the operating parameter information includes: The system acquires historical time-series operating parameter information of DC charging piles under various preset operating states, including at least one standard operating state and various known non-standard fault states. The timing parameters of each running state are divided according to a preset time window length; for each time window, the data of the same parameter type within the time window are mapped into a parameter trajectory in the data panel, and a parameter trajectory graph of that parameter type is generated under the time window. For the same time window, multiple parameter trajectory graphs of different parameter types are associated and combined according to their spatial position in the data layout to generate a comprehensive trajectory graph; Multiple composite trajectory graphs corresponding to different time windows are arranged in chronological order according to their corresponding time windows to form a trajectory graph flow; The trajectory graphic stream corresponding to the standard operating state is marked as the standard trajectory graphic stream; the trajectory graphic stream corresponding to the non-standard fault state is marked as the non-standard trajectory graphic stream, and a specific fault mode label is associated with each non-standard trajectory graphic stream. The fault mode label is used to identify the fault type.

5. The method for safety management of DC charging piles according to claim 1, characterized in that: The steps for setting calling rules for multiple trajectory graphic streams include: The trajectory graphics in multiple trajectory graphic streams are bound to the corresponding moving points in the data layout, and the moving points carry the corresponding trajectory graphics and move synchronously. During synchronous movement, the segments formed by the real-time trajectory of the moving point are compared with the segments of the corresponding time window of the carried graphic stream; When the current information point of a moving point is detected to overlap with a specific information point in any non-standard trajectory graphic stream among multiple trajectory graphic streams, the overlapping information point is taken as a deviation sign point. All non-standard trajectory graphic streams containing deviation sign points are acquired and fixed at the current information point of the moving point. The movement trajectory graphics of multiple moving points in different time windows are continuously monitored to obtain the deviation sign point trajectory graphic stream. The fault type corresponding to the non-standard trajectory graphic stream that is consistent with the deviation sign point trajectory graphic stream is taken as a latent fault. When the current information point of the moving point is detected to overlap with a specific information point in the standard trajectory graphic stream, the moving point continues to move synchronously with the trajectory graphic stream.

6. The method for safety management of DC charging piles according to claim 1, characterized in that: The system collects the current operating parameter information of the charging pile, obtains the real-time graphic stream formed by the current operating parameter information in the data panel, and compares and analyzes the real-time graphic stream with multiple trajectory graphic streams based on the calling rules. The steps for identifying deviation signs in the current real-time graphics stream, and determining latent faults based on these deviation signs, include: Real-time collection of various operating parameters of charging piles, mapping current time-series parameter information to a multi-dimensional data panel to form a current real-time graphical stream; According to the preset calling rules, one or more trajectory graphic streams in the trajectory graphic stream library are determined and compared and analyzed with the current real-time graphic stream; Identify and mark information points in the current real-time graphics stream that deviate from the standard trajectory graphics stream as deviation sign points; Based on the correlation analysis of deviation sign points and the invoked non-standard trajectory graphic stream, the most likely fault type is determined according to the type, number, spatial distribution of deviation sign points and their matching degree with the specific non-standard trajectory graphic stream, and is identified as a latent fault.

7. The method for safety management of DC charging piles according to claim 1, characterized in that: The steps of triggering corresponding early warning signals based on latent faults and automatically matching and executing preset operation and maintenance strategies corresponding to the fault type include: Obtain the fault mode labels corresponding to various known non-standard fault states, configure one or more candidate operation and maintenance strategies for each fault mode label, and generate a mapping relationship library between fault mode labels and candidate operation and maintenance strategy sets. The operation and maintenance strategy corresponding to the fault mode label of the latent fault is determined based on the mapping relationship library. The operation and maintenance strategy includes at least one early warning trigger instruction and one device control instruction sequence. Based on the operation and maintenance strategy, an early warning signal is activated, and at the same time, the charging pile is driven to perform corresponding safety operations.

8. A DC charging pile safety management system, applied to the DC charging pile safety management method as described in any one of claims 1-7, characterized in that, include: A construction module is used to determine the operating parameter information of the DC charging pile to be monitored, and to construct a multi-dimensional data layout based on the operating parameter information; The configuration module is used to acquire the operating parameter information of the DC charging pile to be monitored under different operating states, and draw multiple trajectory graphic streams on the corresponding data panel based on the operating parameter information. The trajectory graphic streams include a standard trajectory graphic stream and multiple non-standard trajectory graphic streams; and set calling rules for multiple trajectory graphic streams. The diagnostic module is used to collect the current operating parameter information of the charging pile, obtain the real-time graphic stream formed by the current operating parameter information in the data panel, compare and analyze the real-time graphic stream with multiple trajectory graphic streams based on the calling rules, identify the information points in the current real-time graphic stream that deviate from the standard trajectory graphic to obtain deviation sign points, and determine hidden faults based on deviation sign points. The management module is used to trigger corresponding early warning signals based on latent faults, and at the same time, automatically match and execute preset operation and maintenance policies corresponding to the fault type.

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