Charging interface fault monitoring method and device, equipment and storage medium

Abstract

The invention discloses a fault monitoring method and device for a charging interface, equipment and a storage medium, and belongs to the technical field of intelligent monitoring of charging equipment. The method comprises the steps of obtaining use data of a charging interface of a charging pile; according to the use data, simulating the real-time use process of the charging interface through a preset digital twinborn model corresponding to the charging pile to obtain a simulation result; according to the simulation result, whether the charging interface has a fault is determined, and when it is judged that the fault exists, a corresponding digital report is generated to be pushed to a supervisor, that is, analog simulation is performed on the charging interface through a digital twin model, so that whether the charging interface has a corresponding fault in the real-time use process is predicted, and the charging interface can be used for monitoring the charging interface. Therefore, the fault monitoring efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for charging equipment, and particularly to a method, apparatus, device, and storage medium for fault monitoring of charging interfaces. Background Technology

[0002] With the popularization of new energy vehicles, more and more car owners are choosing to drive them. At the same time, charging equipment (such as fixed charging piles) that match new energy vehicles are being built in large numbers. The operation and maintenance of charging equipment has also become an important task. Usually, sensors are installed on the charging equipment to monitor its operating parameters, and manual inspections by supervisors are used to determine whether the charging equipment is malfunctioning.

[0003] However, due to prolonged use of the charging interface of the charging station, users may insert or remove it at the wrong angle or with excessive force, causing the terminals in the charging interface to bend under force, the outer shell of the charging interface to crack, or the internal structure of the charging interface to be damaged. The mechanical wear and tear of the charging interface is a slow performance degradation process. Users cannot directly perceive its changes through their senses, nor can they detect its damage through corresponding sensors (such as temperature sensors, power monitors, etc.). As a result, under normal circumstances, the problem is only detected by the sensors when the charging interface overheats due to mechanical wear or corresponding faults. Therefore, the current monitoring methods with sensors are inefficient in detecting faults in the charging interface. Summary of the Invention

[0004] The main objective of this application is to provide a method, device, equipment, and storage medium for fault monitoring of charging interfaces, aiming to solve the technical problems that exist in different data sources, such as inconsistent collection caliber, differences in time granularity, and mismatched update frequency, which directly affect the accuracy and comparability of energy consumption calculation results.

[0005] To achieve the above objectives, this application provides a method for fault monitoring of a charging interface, the method comprising the following steps: Obtain usage data of the charging interfaces of the charging pile; Based on the usage data, the real-time usage process of the charging interface is simulated using a preset digital twin model corresponding to the charging pile, and the simulation results are obtained. Based on the simulation results, it is determined whether the charging interface is faulty, and when a fault is determined, a corresponding digital report is generated and pushed to the regulatory personnel.

[0006] In one embodiment, the step of simulating the real-time usage of the charging interface based on the usage data and using a preset digital twin model corresponding to the charging pile to obtain simulation results includes: The usage data includes the operating parameters of the charging pile when it is in operation, the first image data of relevant personnel using the charging interface, and the second image data of the components corresponding to the charging interface. Based on the operating parameters, the first image data, and the second image data, the data coupling of the charging interface in terms of mechanical wear and charging heat generation is determined through the preset digital twin model corresponding to the charging pile. Based on the data coupling, the real-time usage process of the charging interface is simulated, and simulation results are obtained.

[0007] In one embodiment, the step of predicting whether the charging interface is faulty based on the simulation results includes: Based on the simulation results, the degree of wear and tear on the components corresponding to the charging interface is determined, and the difference between the operating parameters and historical operating parameters is determined. Based on the degree of loss and the differences, a risk monitoring threshold is calculated to determine whether the charging interface is faulty in its current state. Based on the risk monitoring threshold, determine whether the charging interface is faulty.

[0008] In one embodiment, after the step of calculating a risk monitoring threshold for determining whether the charging interface is faulty based on the degree of loss and the difference, the method further includes: Obtain the risk monitoring threshold calculated in the previous calculation, determine the deviation ratio between it and the risk monitoring threshold, and determine the change ratio of the working parameters before and after the difference based on the difference. If the deviation ratio is greater than the change ratio before and after, the risk monitoring threshold is corrected so that the deviation ratio corresponding to the corrected risk monitoring threshold is less than or equal to the change ratio before and after the working parameter.

[0009] In one embodiment, the charging pile is equipped with an image acquisition module, which is used to acquire first image data of relevant personnel using the charging interface and second image data of the corresponding components of the charging interface. The image acquisition module is also used to preprocess the first image data and the second image data to extract the behavioral characteristics of the relevant personnel when using the charging interface and the component structural characteristics of the charging interface, so that the digital twin model can simulate the real-time usage process of the charging interface based on the behavioral characteristics and the component structural characteristics.

[0010] In one embodiment, before the step of simulating the real-time usage of the charging interface based on the usage data and using a preset digital twin model corresponding to the charging pile to obtain the simulation results, the method further includes: Obtain the structural parameters and rated operating parameters of the charging pile, and obtain the environmental parameters of the location of the charging pile; A digital twin model of the charging pile is constructed based on the structural parameters, the rated operating parameters, and the environmental parameters.

[0011] In one embodiment, the step of generating a corresponding digital report upon determining that a fault exists, and pushing it to regulatory personnel, includes: When a fault is detected, the fault content of the charging interface is determined, and a recommended operation and maintenance plan for the charging interface is generated based on the fault content. The fault details and the recommended maintenance plan are used to generate a corresponding digital report, which is then sent to the supervisory personnel.

[0012] Furthermore, to achieve the above objectives, this application also provides a fault monitoring device for a charging interface, the fault monitoring device for the charging interface comprising: The acquisition module is used to acquire usage data of the charging interface of the charging pile; The simulation module is used to simulate the real-time usage process of the charging interface based on the usage data and a preset digital twin model corresponding to the charging pile, and to obtain simulation results. The prediction module is used to determine whether the charging interface is faulty based on the simulation results, and when a fault is determined to exist, to generate a corresponding digital report to be pushed to the regulatory personnel.

[0013] In addition, to achieve the above objectives, this application also provides a fault monitoring device for a charging interface, the fault monitoring device for a charging interface comprising: a memory, a processor, and a fault monitoring program for a charging interface stored in the memory and executable on the processor, the fault monitoring program for the charging interface being configured to implement the steps of the fault monitoring method for a charging interface as described above.

[0014] In addition, to achieve the above objectives, this application also provides a computer-readable storage medium storing a fault monitoring program for a charging interface, wherein when the fault monitoring program for the charging interface is executed by a processor, it implements the steps of the fault monitoring method for the charging interface as described above.

[0015] The one or more technical solutions proposed in this application have at least the following technical effects: By acquiring usage data of the charging interface of a charging pile; based on the usage data, simulating the real-time usage process of the charging interface using a preset digital twin model corresponding to the charging pile, and obtaining simulation results; based on the simulation results, determining whether the charging interface has a fault, and generating a corresponding digital report when a fault is detected, which is then pushed to regulatory personnel. This allows for the import of charging pile usage data into a digital twin model, simulating potential faults in the charging connector during use by relevant personnel, and predicting data changes in the charging interface in different usage scenarios in real time. Furthermore, the simulation results output by the digital twin model can determine whether the current charging connector has a fault, and promptly notify the relevant regulatory personnel when a fault exists, rather than waiting for sensors to detect abnormal data before providing feedback. This achieves the ability to simulate the real-time usage process of the charging interface in advance and predict fault-related situations through a digital twin model, enabling the charging pile to make early simulations and predictions of potential faults without relying on manual inspection or sensor data monitoring, greatly improving fault monitoring efficiency. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating an embodiment of the fault monitoring method for the charging interface of this application; Figure 2 A flowchart illustrating Embodiment 2 of the fault monitoring method for the charging interface of this application; Figure 3 This is a schematic diagram of the module structure of the fault monitoring device for the charging interface in an embodiment of this application; Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the fault monitoring method of the charging interface in this application embodiment.

[0019] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0021] like Figure 1 As shown, in the first embodiment, the fault monitoring method for the charging interface includes the following steps: S10, obtain the usage data of the charging interface of the charging pile; S20, Based on the usage data, the real-time usage process of the charging interface is simulated using a preset digital twin model corresponding to the charging pile to obtain simulation results; S30, based on the simulation results, determine whether the charging interface is faulty, and when a fault is determined, generate a corresponding digital report to push to the supervisor.

[0022] Understandably, in order to achieve real-time monitoring of the mechanical wear of the charging interface, in this embodiment, the current state of the charging interface is simulated by a preset digital twin model corresponding to the charging pile, and the usage data of the charging interface is obtained. This usage data is used as the input of the digital twin model to simulate the charging interface in real-time use, thereby obtaining the corresponding simulation results. Through the simulation results, possible faults of the current charging interface can be fed back, such as severe wear of the charging interface, heat generation during the charging process, or deformation of some parts of the charging interface due to external forces during use, resulting in corresponding hidden dangers.

[0023] Furthermore, after determining whether there is a fault in the charging interface through the digital twin model, a corresponding digital report can be generated and pushed to the regulatory personnel. This not only improves the monitoring efficiency of the charging interface, but also improves the efficiency of the regulatory personnel in real-time monitoring and subsequent operation and maintenance of the charging interface of the charging pile.

[0024] It should be noted that in this embodiment, the charging interface is the main monitoring target. The faults that exist include abnormalities in operating parameters (heating, output power) as well as mechanical wear or deformation at the physical structure level. Therefore, two sub-models should be configured in the digital twin model: a thermal sub-model to simulate the heat generation of the charging interface, and a mechanical sub-model to simulate the deformation of the corresponding components of the charging interface when subjected to external forces. Considering the mutual influence between the two, the two sub-models also need to be coupled and associated.

[0025] It should be noted that when simulating the real-time usage of the charging interface using a digital twin model, it is necessary to reconstruct the corresponding usage data, including output conditions, the target vehicle being charged, and the environment of the charging pile. Based on this, the actual usage situation is reviewed and simulated using the digital twin model, thereby simulating potential problems that may occur during real-time use and troubleshooting these potential problems as faults. This allows for the identification of issues that users or regulators would not be able to perceive or judge through their own experience.

[0026] For example, the wear and tear on the charging interface usually needs to be inspected visually, and the supervisors need to infer whether it needs to be replaced based on their past experience. This method has certain drawbacks, as the supervisors cannot determine whether the degree of wear affects the charging heating process, nor can they determine whether the current degree of wear requires timely replacement.

[0027] In this embodiment, before the step of simulating the real-time usage of the charging interface based on the usage data and using a preset digital twin model corresponding to the charging pile to obtain the simulation results, the method further includes: Obtain the structural parameters and rated operating parameters of the charging pile, and obtain the environmental parameters of the location of the charging pile; A digital twin model of the charging pile is constructed based on the structural parameters, the rated operating parameters, and the environmental parameters.

[0028] Understandably, when building a digital twin model, it is necessary to obtain both the structural parameters and the rated operating parameters of the charging pile. The structural parameters include the components of the charging pile, the structural dimensions of each component, and the material parameters, while the rated operating parameters include the input and output voltage, the maximum rated power, and the operating temperature and humidity.

[0029] This also requires obtaining the environmental parameters of the charging pile's location, which mainly include dust, temperature and humidity, and sunlight intensity.

[0030] After obtaining the above parameters, a digital twin model of the charging pile and its environment can be simulated. By inputting the corresponding parameters, the working conditions of the charging pile under different conditions can be simulated, such as temperature changes when outputting voltage and the heating status of the charging interface when outputting voltage.

[0031] It should be noted that the technologies used to build the digital twin model can be general-purpose technologies, as long as the accuracy of various parameters used to build the digital twin model is ensured. In addition, digital twin models of charging piles adapted to different environments can be built according to different seasons.

[0032] In this embodiment, the step of generating a corresponding digital report and sending it to regulatory personnel when a fault is detected includes: When a fault is detected, the fault content of the charging interface is determined, and a recommended operation and maintenance plan for the charging interface is generated based on the fault content. The fault details and the recommended maintenance plan are used to generate a corresponding digital report, which is then sent to the supervisory personnel.

[0033] Understandably, when a fault is identified, a corresponding digital report needs to be generated. This digital report can include the identified fault details of the charging interface and the recommended maintenance solution for addressing the fault. For example, if the current fault is that prolonged plugging and unplugging has caused severe wear on the charging interface, resulting in abnormal temperature rise during use and potentially posing a fire risk, then a digital report needs to be generated stating that the fault is severe wear on the charging interface and the recommended maintenance solution is to replace some parts of the charging interface.

[0034] It should be noted that this embodiment uses a digital twin model to simulate the real-time usage process, mainly representing the changes in various parameters during use, such as wear and tear of mechanical structures, abnormal heating of the charging interface, and changes in output power. Such abnormalities do not necessarily lead to malfunctions or other risks. However, the digital twin model can simulate the working state, and corresponding predictions can be made based on this. For example, it can be analyzed whether the current charging interface is aging and needs to be replaced, or whether the charging heat generation is abnormal and the entire charging pile needs to be inspected.

[0035] This embodiment acquires usage data of the charging interface of the charging pile; based on the usage data, it simulates the real-time usage process of the charging interface using a preset digital twin model corresponding to the charging pile, and obtains simulation results; based on the simulation results, it determines whether the charging interface has a fault, and when a fault is detected, it generates a corresponding digital report to be pushed to the regulatory personnel. Thus, by importing the charging pile's usage data into the digital twin model and simulating potential faults of the charging connector during use by relevant personnel, the embodiment can predict data changes of the charging interface in different usage scenarios in real time. Furthermore, it can determine whether the current charging connector has a fault based on the simulation results output by the digital twin model, and promptly notify the relevant regulatory personnel when a fault is found, rather than waiting for sensors to detect abnormal data before reporting back to the regulatory personnel. This allows for the simulation of the real-time usage process of the charging interface in advance through the digital twin model, and the prediction of fault-related situations. This eliminates the need for manual inspection or sensor data monitoring of the charging pile, enabling early simulation and prediction of potential faults, greatly improving fault monitoring efficiency.

[0036] like Figure 2 As shown, a second embodiment of the fault monitoring method for the charging interface of this application is proposed based on the first embodiment. In this embodiment, the method further includes: The usage data includes the operating parameters of the charging pile when it is in operation, the first image data of relevant personnel using the charging interface, and the second image data of the components corresponding to the charging interface. S21, based on the working parameters, the first image data and the second image data, the data coupling of the charging interface in terms of mechanical wear and charging heat generation is determined through the preset digital twin model corresponding to the charging pile; S22, based on the data coupling situation, simulate the real-time usage process of the charging interface to obtain simulation results.

[0037] Understandably, in this embodiment, the charging interface is the primary monitoring target. Faults in the interface include abnormalities in operating parameters (heat generation, output power) as well as mechanical wear or deformation at the physical structure level. Therefore, two sub-models should be configured in the digital twin model: a thermal sub-model simulating the heat generation of the charging interface, and a mechanical sub-model simulating the deformation of the corresponding components of the charging interface when subjected to external forces. Considering the mutual influence between the two, the two sub-models also need to be coupled and associated. Specifically, if the contact pressure of the terminals of the charging interface when inserted into the charging port is too small, it will lead to an increase in the resistance between the two, thereby increasing the temperature rise at the charging interface. Or, when the temperature of the charging interface rises, it will affect the hardness of the components of the charging interface, making them prone to deformation and other problems.

[0038] Therefore, in this embodiment, when constructing the digital twin model, the relationship between the two types of sub-models is fully considered, and the data coupling between the two sub-models is established. This allows for the simultaneous simulation of data from the charging interface and the charging heat generation layer, and ensures the mutual influence between the corresponding data at both levels during the simulation process. This ensures that the simulation of the digital twin model is closer to the actual application effect, thereby ensuring the accuracy of the subsequent simulation of possible faults in the charging interface.

[0039] The data used should include at least the operating parameters of the charging pile when it is in operation, such as the output power of the charging pile and the real-time temperature of its various components when the charging pile is outputting power.

[0040] The data used includes at least first image data related to the behavior of relevant personnel when using the charging interface. The first image data may be a corresponding video or a series of multiple frames of photos. The main content corresponding to the first image data includes the charging interface and any object outside the charging interface that is in contact with it, such as the palm of the relevant personnel.

[0041] The data used includes at least the second image data of the component structure corresponding to the charging interface. This second image data mainly consists of image information of the component structure corresponding to the charging port. The combination relationship between the components, the fixed position of each component, and the surface wear of each component need to be collected in the image. For example, the position of each terminal in the charging interface and the surface condition of each terminal are collected.

[0042] It should be noted that when using a digital twin model for simulation, the structural stability of the charging interface and its corresponding heat generation are mainly considered. This includes taking into account the deformation of the charging interface caused by external forces, the displacement of the terminal fixing position, and the wear of the charging interface terminals, as well as the impact of the above issues on the heat generation. The simulation also simulates the impact of this heat generation on the corresponding problems of the charging interface feedback, such as increasing the degree of terminal wear and causing slight deformation of some components due to heat. In this way, the complete real-time use process of the charging interface can be simulated, thereby identifying possible faults that may occur during current use, such as deformation of the charging interface caused by forceful plugging and unplugging by personnel.

[0043] In this embodiment, the step of predicting whether the charging interface is faulty based on the simulation results includes: Based on the simulation results, the degree of wear and tear on the components corresponding to the charging interface is determined, and the difference between the operating parameters and historical operating parameters is determined. Based on the degree of loss and the differences, a risk monitoring threshold is calculated to determine whether the charging interface is faulty in its current state. Based on the risk monitoring threshold, determine whether the charging interface is faulty.

[0044] Understandably, when simulating real-time usage through a digital twin, the simulated results are typically the usage outcomes under the influence of the current charging interface's component structure and the charging pile's operating parameters. These results may not directly indicate a fault, but can only reveal potential risks to the charging interface (e.g., wear, deformation, increased heat) through the simulation process. In general, by setting up sensors, a fault is determined when the charging interface temperature exceeds a threshold. However, in actual use, severe wear on the charging interface terminals can cause the charging interface temperature to rise, but not to the required level. In this case, the charging interface poses a certain safety hazard, but the fault cannot be directly detected by sensors. Therefore, in this embodiment, when judging faults using a digital twin model, it is necessary to add corresponding fault judgment benchmarks to simulate potential faults through the digital twin model before the sensors detect fault data.

[0045] Specifically, in this embodiment, a dynamically calculated risk monitoring threshold is introduced to determine whether the charging interface is faulty in its current state. This risk monitoring threshold is designed with two main considerations: firstly, it takes into account the changes in the operating parameters of the corresponding charging pile under the normal wear and tear of the charging interface after long-term use; secondly, it takes into account the early warning method. Even when the operating parameters of the charging interface change due to wear and tear, a range that the operating parameters after wear and tear should meet is set accordingly. When the actual operating parameters exceed this range, a fault is determined to exist.

[0046] That is, the risk monitoring threshold is used as the standard value to measure whether a fault exists. When the relevant parameters in the real-time use process obtained by simulation through the digital twin model exceed the standard value, a fault is determined to exist. For example, if the standard temperature threshold is set to value A, and the temperature in the real-time use process is predicted to exceed value A when simulated by the digital twin model, it is determined that the current charging interface has an abnormal heat generation fault. The specific reason can be determined according to the corresponding sub-model in the digital twin model.

[0047] It should be noted that this risk monitoring threshold is calculated based on the degree of wear and tear of the components and the difference between the operating parameters and the corresponding historical operating parameters. In other words, the risk monitoring threshold takes into account the normal aging and wear and tear of the charging interface.

[0048] For example, in the initial application, the charging interface is a brand new device, and the heat it generates should be low. However, as the charging interface is used and worn out, the heat it generates will increase. Therefore, in this embodiment, it is not determined that there is a fault simply by detecting a temperature increase, but rather whether the temperature increase after the charging interface has aged and worn out is normal.

[0049] In calculating the risk monitoring threshold, the main calculation involves estimating the difference between the current loss of the charging interface and the corresponding loss of the charging interface at the time of manufacture. Within this difference, the range of changes in the operating parameters needs to be calculated. For example, for every 10% loss of the charging interface, the corresponding temperature change is 5 degrees. That is, by combining the difference between the current operating parameters and the historical operating parameters, and using it as a benchmark, the mapping relationship between the degree of loss and the operating parameters is calculated, and the value that the operating parameters should reach under the current degree of loss is calculated, thereby obtaining the risk monitoring threshold.

[0050] In this embodiment, after the step of calculating a risk monitoring threshold for determining whether the charging interface is faulty based on the degree of loss and the difference, the method further includes: Obtain the risk monitoring threshold calculated in the previous calculation, determine the deviation ratio between it and the risk monitoring threshold, and determine the change ratio of the working parameters before and after the difference based on the difference. If the deviation ratio is greater than the change ratio before and after, the risk monitoring threshold is corrected so that the deviation ratio corresponding to the corrected risk monitoring threshold is less than or equal to the change ratio before and after the working parameter.

[0051] Understandably, the risk monitoring threshold is dynamically calculated based on the real-time usage of the charging interface. Therefore, a risk monitoring threshold is obtained after each calculation. If the risk monitoring threshold changes too much (between the previous risk monitoring threshold and the currently calculated risk monitoring threshold), an anomaly may occur. Therefore, it is necessary to judge the risk monitoring threshold obtained each time. If it passes the judgment, it is used as the standard value. If it fails, it needs to be corrected.

[0052] In this embodiment, a change ratio before and after the risk monitoring threshold is introduced for judgment. This change ratio is the change ratio between the current working parameters and the corresponding differences in historical working parameters. By using this change ratio, the deviation ratio between the previous risk monitoring threshold and the currently calculated risk detection threshold is judged to determine whether the currently calculated risk monitoring threshold is reasonable.

[0053] Specifically, when the deviation ratio is greater than the change ratio before and after, the risk monitoring threshold needs to be corrected so that the deviation ratio calculated corresponding to the risk monitoring threshold is less than or equal to the change ratio before and after.

[0054] In this embodiment, the charging pile is equipped with an image acquisition module, which is used to acquire first image data of relevant personnel using the charging interface and second image data of the corresponding components of the charging interface. The image acquisition module is also used to preprocess the first image data and the second image data to extract the behavioral characteristics of the relevant personnel when using the charging interface and the component structural characteristics of the charging interface, so that the digital twin model can simulate the real-time usage process of the charging interface based on the behavioral characteristics and the component structural characteristics.

[0055] Understandably, in order to accurately simulate the external forces acting on the charging interface, without adding additional sensors (mechanical sensors cannot accurately detect the deformation and wear of the terminals inside the charging interface), an image acquisition module can be used to capture the behavioral characteristics of relevant personnel using the charging interface, as well as the structural features of the components of the charging interface, and calculate the external forces acting on the charging interface at that time.

[0056] Specifically, the aforementioned behavioral characteristics and component structural characteristics are determined by acquiring relevant image data through an image acquisition module.

[0057] In determining behavioral characteristics, the relative positional relationship between the charging interface and the target location is extracted from the first image data collected, and the positional change of the charging interface between each frame of the image is determined, thereby inferring whether the charging interface will be deformed by external force.

[0058] In determining the structural features of components, the wear and deformation of the charging interface are determined by comparing the pre-stored initial image of the component structure with the current second image data.

[0059] It should be noted that when extracting relevant features through the image acquisition module, a corresponding compressed neural network model can be preset in the image acquisition module. Through simple logical reasoning analysis, it can analyze whether the user's behavior involves violent behavior (e.g., hitting or smashing the charging interface) and whether the user's behavior involves plugging and unplugging the charging interface at the correct and appropriate angle. Secondly, the changes in the structural features of the components are calculated. Based on the above, the first and second image data in the corresponding usage data are determined. Then, all the above features are simulated through a digital twin model to ensure accurate prediction of charging interface failure.

[0060] This embodiment determines the data coupling of the charging interface in terms of mechanical wear and charging heat generation by using the working parameters, the first image data, and the second image data, through a preset digital twin model corresponding to the charging pile. Based on the data coupling, the real-time usage process of the charging interface is simulated to obtain simulation results. This allows for the simultaneous simulation of the data coupling of mechanical wear and charging heat generation of the charging interface, thereby restoring the changes that occur at the actual charging interface and improving the accuracy of the simulation.

[0061] Furthermore, this application also proposes a fault monitoring device for a charging interface, referring to... Figure 3 The fault monitoring device for the charging interface includes: The acquisition module 10 is used to acquire the usage data of the charging interface of the charging pile; The simulation module 20 is used to simulate the real-time usage process of the charging interface based on the usage data and a preset digital twin model corresponding to the charging pile, and obtain simulation results. The prediction module 30 is used to simulate the real-time usage process of the charging interface based on the usage data and through a preset digital twin model corresponding to the charging pile, and obtain simulation results.

[0062] This embodiment acquires usage data of the charging interface of the charging pile; based on the usage data, it simulates the real-time usage process of the charging interface using a preset digital twin model corresponding to the charging pile, and obtains simulation results; based on the simulation results, it determines whether the charging interface has a fault, and when a fault is detected, it generates a corresponding digital report to be pushed to the regulatory personnel. Thus, by importing the charging pile's usage data into the digital twin model and simulating potential faults of the charging connector during use by relevant personnel, the embodiment can predict data changes of the charging interface in different usage scenarios in real time. Furthermore, it can determine whether the current charging connector has a fault based on the simulation results output by the digital twin model, and promptly notify the relevant regulatory personnel when a fault is found, rather than waiting for sensors to detect abnormal data before reporting back to the regulatory personnel. This allows for the simulation of the real-time usage process of the charging interface in advance through the digital twin model, and the prediction of fault-related situations. This eliminates the need for manual inspection or sensor data monitoring of the charging pile, enabling early simulation and prediction of potential faults, greatly improving fault monitoring efficiency.

[0063] It should be noted that each module in the above-mentioned device can be used to implement each step in the above-mentioned method and achieve the corresponding technical effect. This embodiment will not elaborate further here.

[0064] Reference Figure 4 , Figure 4 This is a schematic diagram of the hardware operating environment of the device involved in the embodiments of this application.

[0065] like Figure 4 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0066] Those skilled in the art will understand that Figure 4 The structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0067] like Figure 4 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a fault monitoring program for the charging interface.

[0068] exist Figure 4 In the device shown, the network interface 1004 is mainly used for data communication with an external network; the user interface 1003 is mainly used for receiving user input commands; the device calls the charging interface fault monitoring program stored in the memory 1005 through the processor 1001 and performs the following operations: Obtain usage data of the charging interfaces of the charging pile; Based on the usage data, the real-time usage process of the charging interface is simulated using a preset digital twin model corresponding to the charging pile, and the simulation results are obtained. Based on the simulation results, it is determined whether the charging interface is faulty, and when a fault is determined, a corresponding digital report is generated and pushed to the regulatory personnel.

[0069] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: The usage data includes the operating parameters of the charging pile when it is in operation, the first image data of relevant personnel using the charging interface, and the second image data of the components corresponding to the charging interface. Based on the operating parameters, the first image data, and the second image data, the data coupling of the charging interface in terms of mechanical wear and charging heat generation is determined through the preset digital twin model corresponding to the charging pile. Based on the data coupling, the real-time usage process of the charging interface is simulated, and simulation results are obtained.

[0070] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: Based on the simulation results, the degree of wear and tear on the components corresponding to the charging interface is determined, and the difference between the operating parameters and historical operating parameters is determined. Based on the degree of loss and the differences, a risk monitoring threshold is calculated to determine whether the charging interface is faulty in its current state. Based on the risk monitoring threshold, determine whether the charging interface is faulty.

[0071] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: Obtain the risk monitoring threshold calculated in the previous calculation, determine the deviation ratio between it and the risk monitoring threshold, and determine the change ratio of the working parameters before and after the difference based on the difference. If the deviation ratio is greater than the change ratio before and after, the risk monitoring threshold is corrected so that the deviation ratio corresponding to the corrected risk monitoring threshold is less than or equal to the change ratio before and after the working parameter.

[0072] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: The charging station is equipped with an image acquisition module, which is used to acquire first image data of relevant personnel using the charging interface and second image data of the corresponding components of the charging interface. The image acquisition module is also used to preprocess the first image data and the second image data to extract the behavioral characteristics of the relevant personnel when using the charging interface and the component structural characteristics of the charging interface, so that the digital twin model can simulate the real-time usage process of the charging interface based on the behavioral characteristics and the component structural characteristics.

[0073] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: Obtain the structural parameters and rated operating parameters of the charging pile, and obtain the environmental parameters of the location of the charging pile; A digital twin model of the charging pile is constructed based on the structural parameters, the rated operating parameters, and the environmental parameters.

[0074] Furthermore, the processor 1001 can call the fault monitoring program for the charging interface stored in the memory 1005, and also perform the following operations: When a fault is detected, the fault content of the charging interface is determined, and a recommended operation and maintenance plan for the charging interface is generated based on the fault content. The fault details and the recommended maintenance plan are used to generate a corresponding digital report, which is then sent to the supervisory personnel.

[0075] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0076] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0077] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the charging interface fault monitoring method in the above embodiments.

[0078] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0079] The aforementioned computer-readable storage medium may be included in the fault monitoring device of the charging interface; or it may exist independently and not be assembled into the fault monitoring device of the charging interface.

[0080] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the fault monitoring device of the charging interface, cause the fault monitoring device of the charging interface to: Obtain usage data of the charging interfaces of the charging pile; Based on the usage data, the real-time usage process of the charging interface is simulated using a preset digital twin model corresponding to the charging pile, and the simulation results are obtained. Based on the simulation results, it is determined whether the charging interface is faulty, and when a fault is determined, a corresponding digital report is generated and pushed to the regulatory personnel.

[0081] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0082] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0083] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0084] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described fault monitoring method for charging interfaces, thereby solving the technical problem of fault monitoring of charging interfaces. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the fault monitoring method for charging interfaces provided in the above embodiments, and will not be repeated here.

[0085] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

[0086] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0087] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0088] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0089] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method of fault monitoring of a charging interface, characterized in that, The failure monitoring method of the charging interface comprises the following steps: Obtain the use data of the charging interface of the charging pile; According to the use data, simulate the real-time use process of the charging interface through the preset digital twin model corresponding to the charging pile, and obtain the simulation result; According to the simulation result, determine whether the charging interface has a fault, and generate a corresponding digital report when a fault is judged to exist, to push to the supervisor.

2. The method of fault monitoring of a charging interface according to claim 1, characterized in that, The step of simulating the real-time use process of the charging interface according to the use data through the preset digital twin model corresponding to the charging pile to obtain the simulation result comprises: The use data includes the working parameters when the charging pile is in a working state, the first image data when the relevant personnel use the charging interface, and the second image data of the corresponding parts of the charging interface; According to the working parameters, the first image data and the second image data, determine the data coupling condition of the charging interface in the aspects of mechanical wear and charging heat through the preset digital twin model corresponding to the charging pile; According to the data coupling condition, simulate the real-time use process of the charging interface to obtain the simulation result.

3. The method of fault monitoring of a charging interface according to claim 2, characterized in that, The step of predicting whether the charging interface has a fault according to the simulation result comprises: According to the simulation result, determine the degree of wear of the corresponding parts of the charging interface, and determine the difference between the working parameters and the historical working parameters; According to the degree of wear and the difference, calculate the risk monitoring threshold value for judging whether the charging interface has a fault in the current state of the charging interface; According to the risk monitoring threshold value, determine whether the charging interface has a fault.

4. The method of fault monitoring of a charging interface according to claim 3, characterized in that, After the step of calculating the risk monitoring threshold value for judging whether the charging interface has a fault in the current state of the charging interface according to the degree of wear and the difference, the method further comprises: Obtain the risk monitoring threshold value calculated last time, determine the deviation ratio between the risk monitoring threshold value and the risk monitoring threshold value calculated last time, and determine the front and rear change ratio of the working parameters according to the difference; If the deviation ratio is greater than the front and rear change ratio, the risk monitoring threshold value is corrected, so that the corresponding deviation ratio of the corrected risk monitoring threshold value is less than or equal to the front and rear change ratio of the working parameters.

5. The method of fault monitoring of a charging interface according to claim 2, characterized in that, The charging pile is provided with an image acquisition module, which is used to acquire the first image data when the relevant personnel use the charging interface and acquire the second image data of the corresponding parts of the charging interface: The image acquisition module is also used to pre-process the first image data and the second image data correspondingly to extract the behavior characteristics of the relevant personnel using the charging interface and the part structure characteristics of the charging interface, so that the digital twin model simulates the real-time use process of the charging interface according to the behavior characteristics and the part structure characteristics.

6. The method of fault monitoring of a charging interface according to claim 1, characterized in that, Before the step of simulating, by a preset digital twin model corresponding to the charging pile, a real-time use process of the charging interface according to the use data to obtain a simulation result, the method further includes: obtaining structural parameters and working rated parameters of the charging pile, and obtaining environmental parameters of a location where the charging pile is located; constructing a digital twin model corresponding to the charging pile according to the structural parameters, the working rated parameters and the environmental parameters.

7. The method of fault monitoring of a charging interface according to claim 1, characterized in that, The step of generating a corresponding digital report when a fault exists to push to a supervisor includes: determining a fault content of the charging interface when a fault exists, and generating an operation and maintenance recommendation scheme of the charging interface according to the fault content; generating a corresponding digital report of the fault content and the operation and maintenance recommendation scheme to push to the supervisor.

8. A failure monitoring apparatus of a charging interface, characterized by, The fault monitoring device of the charging interface includes: an acquisition module configured to acquire use data of a charging interface of a charging pile; a simulation module configured to simulate, by a preset digital twin model corresponding to the charging pile, a real-time use process of the charging interface according to the use data to obtain a simulation result; a prediction module configured to determine whether a fault exists in the charging interface according to the simulation result, and generate a corresponding digital report when a fault exists to push to a supervisor.

9. A fault monitoring device of a charging interface, characterized by, The fault monitoring device of the charging interface includes a memory, a processor, and a fault monitoring program of the charging interface stored on the memory and executable on the processor, and the fault monitoring program of the charging interface is configured to implement the steps of the fault monitoring method of the charging interface according to any one of claims 1 to 7.

10. A storage medium, characterized by A storage medium stores a program for implementing the fault monitoring method of the charging interface, and the program for implementing the fault monitoring method of the charging interface is executed by a processor to implement the steps of the fault monitoring method of the charging interface according to any one of claims 1 to 7.

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