Charging pile operation fault detection method and system

Abstract

The invention provides a charging pile operation fault detection method and system, and belongs to the technical field of fault detection, and the method comprises the steps: determining a target fault detection demand based on the state information of a charging pile; determining a target fault detection strategy based on the target fault detection demand; and performing fault detection on the charging pile based on the target fault detection strategy, and determining the operation state of the charging pile. According to the charging pile operation fault detection method and system provided by the invention, the accuracy and stability of detecting the operation fault of the charging pile can be improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of fault detection, and more specifically, to a charging pile operation fault detection method and system. Background Art

[0002] With the popularity of electric vehicles, the number of charging piles, as an important infrastructure for electric vehicles, is also increasing rapidly. The stable operation of charging piles is crucial to the normal use of electric vehicles. However, in the actual operation process, charging piles may have various faults, such as electrical connection failure, communication failure, charging module failure, etc. These faults will not only affect the user's charging experience, but may also cause damage to the charging pile equipment itself and the electric vehicle.

[0003] Therefore, how to accurately detect the operating status of the charging pile and ensure the operating stability of the charging pile is a problem that needs to be solved at present. Summary of the invention

[0004] The purpose of the present disclosure is to provide a charging pile operation fault detection method and system to improve the accuracy and stability of detecting charging pile operation faults.

[0005] According to a first aspect of an embodiment of the present disclosure, a method for detecting a charging pile operation fault is provided, comprising: Determine target fault detection requirements based on status information of the charging pile; Determining a target fault detection strategy based on the target fault detection requirement; Fault detection is performed on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

[0006] A second aspect of the embodiments of the present disclosure provides a charging pile operation fault detection system, including: A demand determination module, used to determine target fault detection requirements based on the status information of the charging pile; A strategy determination module, used to determine a target fault detection strategy based on the target fault detection requirement; A fault detection module is used to perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned charging pile operation fault detection method when executing the computer program.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned charging pile operation fault detection method are implemented.

[0009] The beneficial effects of the charging pile operation fault detection method and system provided by the embodiments of the present disclosure are: First, the disclosure can greatly improve the detection efficiency and reduce the waste of manpower and time costs; second, it can also improve the detection accuracy and reliability and effectively reduce the misjudgment rate; finally, determining the operating status of the charging pile helps to timely discover potential faults and deal with them in advance, ensuring the continuous and stable operation of the charging pile. Therefore, the disclosure can improve the accuracy and stability of detecting charging pile operation failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A schematic diagram of a flow chart of a charging pile operation fault detection method provided by an embodiment of the present disclosure; Figure 2 A structural block diagram of a charging pile operation fault detection system provided by an embodiment of the present disclosure; Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0012] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0013] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0014] Please refer to Figure 1 , Figure 1 A flow chart of a charging pile operation fault detection method provided in an embodiment of the present disclosure, the method comprising: S101: Determine target fault detection requirements based on status information of the charging pile.

[0015] In this embodiment, the status information of the charging pile refers to the reflection of various parameters and conditions related to the operation of the charging pile. The status information of the charging pile can be electrical parameter information, such as input voltage, output voltage, current, power, etc. during charging; it can also be environmental information, such as the temperature and humidity of the location of the charging pile, and the temperature conditions of various internal components; it can also be working status information, such as charging status (fast charging, slow charging), uncharged status and fault status.

[0016] The target fault detection requirement can be derived from the analysis of the status information of the charging pile. In a certain state, it is necessary to focus on detection to determine whether there is a fault in the operation of the charging pile.

[0017] In this embodiment, the target fault detection requirement is determined based on the status information of the charging pile, including: Get the status information of the charging pile; Analyze the status information of the charging pile to obtain the target fault detection requirements.

[0018] Specifically, the status information of the charging pile can be obtained as follows: First, multiple sensors are installed inside the charging pile to collect status information and obtain electrical parameter information as well as temperature and humidity information.

[0019] Second, use the communication interface of the charging pile itself to collect operating status information from the control module of the charging pile to obtain the charging mode, charging gun connection status and fault code information.

[0020] Specifically, the analysis based on the status information of the charging pile can be as follows: First, statistical processing. Calculate the average value and standard deviation of electrical parameter information such as voltage and current during charging. For example, if the standard deviation of the current is greater than or equal to the first preset value, it means that the charging current is unstable. At this time, the detection of current stability can be used as one of the target fault detection requirements. Among them, the first preset value is dynamically set according to the actual situation.

[0021] Second, observe the changing trend. For example, for the charging power, observe the changing trend in the first charging cycle. If there is a sudden drop in the charging power, the information related to the charging power is used as the target fault detection requirement.

[0022] Third, establish a model. This embodiment can also establish a model of normal charging status through statistical analysis of historical charging data. When the actual data deviates greatly from the model, the corresponding fault detection requirement can be determined.

[0023] S102: Determine a target fault detection strategy based on a target fault detection requirement.

[0024] In this embodiment, there is a mapping relationship between the target detection requirement and the target fault detection strategy.

[0025] If the target detection requirement is the first requirement, the first strategy is used as the target fault detection strategy; If the target detection requirement is the second requirement, the second strategy is used as the target fault detection strategy; If the target detection requirement is the third requirement, the third strategy is used as the target fault detection strategy; Among them, the detection information of the first requirement, the second requirement and the third requirement are different, and the processing methods of the first strategy, the second strategy and the third strategy are different.

[0026] Once the target detection requirements are clear, they will be matched with multiple pre-set strategies. For example, the detection information required for the charging and uncharging states of the charging pile will be different, and the corresponding strategies will also be different. Or, when the charging rate of the charging pile is different, the required detection accuracy will also be different, and the corresponding strategy will also change.

[0027] S103: Perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

[0028] In this embodiment, the operating status of the charging pile refers to the overall working condition of the charging pile at present, which can be generally divided into normal operation, potential faults (sub-healthy state) and failure. Normal operation means that all functional indicators of the charging pile meet the requirements and can provide stable charging services for electric vehicles; potential faults mean that although the charging operation has not been significantly affected at present, some parameters or components have become abnormal, which will develop into a fault if not handled in time; failure means that one or more functions of the charging pile cannot be realized normally, such as the inability to start charging, sudden interruption during charging and inability to recover, etc.

[0029] According to the pre-established strategy for the specific fault detection needs of the charging pile, the charging pile is comprehensively inspected and tested, and then the test results are used to determine whether the charging pile is in normal operation, has a potential fault, or has already failed.

[0030] From the above, it can be concluded that, firstly, the disclosure can greatly improve the detection efficiency and reduce the waste of manpower and time costs; secondly, it can also improve the detection accuracy and reliability and effectively reduce the misjudgment rate; finally, determining the operating status of the charging pile helps to timely discover potential faults and deal with them in advance, ensuring the continuous and stable operation of the charging pile. Therefore, the disclosure can improve the accuracy and stability of detecting charging pile operation faults.

[0031] In one embodiment of the present disclosure, the status information of the charging pile includes a charging state and an uncharging state; Determine the target fault detection requirements based on the status information of the charging pile, including: If the status information of the charging pile is a charging state, the first fault detection requirement is used as a target fault detection requirement; If the status information of the charging pile is an uncharged state, the second fault detection requirement is used as the target fault detection requirement; The number of detection signal categories required for the first fault detection requirement is greater than the number of detection signal categories required for the second fault detection requirement.

[0032] In this embodiment, the status information of the charging pile refers to an identifier reflecting the current working mode of the charging pile, which is mainly divided into a charging state (charging an electric vehicle) and a non-charging state (not connected to a vehicle for charging or charging has been completed and is in an idle waiting state).

[0033] The target fault detection requirement is a set of detection categories that need to be checked and judged based on the different states of the charging pile to determine whether there is a fault. The target fault detection requirement is different in different states.

[0034] The first fault detection requirement is specifically for the fault detection requirement determined when the charging pile is in a charging state, and involves a relatively rich variety of detection signal categories.

[0035] The second fault detection requirement corresponds to the fault detection requirement when the charging pile is in an uncharged state. Compared with the first fault detection requirement, its detection signal categories are relatively fewer.

[0036] The detection signal category is used to classify different types of physical quantities or status information that characterize the operating status of the charging pile, such as voltage signals, current signals, temperature signals, communication signals, etc. Different fault detection requirements will focus on different combinations of detection signal categories.

[0037] When the charging pile is charging, since the charging process involves many complex electrical conversions, energy transmission, and interaction with the vehicle, more types of detection signals are needed to fully monitor its operating conditions. At this time, the first fault detection requirement determined covers multiple detection signal categories to ensure the safety, efficiency, and stability of the charging process.

[0038] When the charging pile is in an uncharging state, the main concern is the integrity of its basic standby function and potential risks. The number of signal categories that need to be detected is relatively small, and the focus is on ensuring normal startup during the next charging and its own safety and stability during standby. Therefore, the number of detection signal categories involved in the second fault detection requirement is less than the first fault detection requirement.

[0039] For example, in a public charging station, there is a charging pile.

[0040] When the charging pile is in the charging state, the first fault detection requirement may include: electrical performance parameters, such as charging voltage signal, charging current signal and power signal; temperature signals, such as power module temperature and charging gun connection part temperature; communication signals, such as the real-time communication between the charging pile and the electric vehicle.

[0041] When the charging pile is in an uncharged state, the second fault detection requirement may include: insulation resistance between internal electrical components and the outer casing; and the status of the self-test program of the charging pile.

[0042] The status information of the charging pile is the charging status; The charging state can be divided into a first rate charging and a second rate charging, and the charging time of the first rate charging is shorter than the charging time of the second rate charging; If the charging state is the first rate charging or the second rate charging, the first fault detection requirement is to detect a voltage signal, a current signal, a power signal, a temperature signal and an estimated full charge time.

[0043] Furthermore, if the charging state is an intermittent charging state, the first fault detection requirement is a communication signal, a voltage signal, a current signal, a power signal, and a temperature signal; If the charging state is a charging power limited state, the first fault detection requirement is a power signal, a voltage signal, a current signal, an input power signal, and an output power signal.

[0044] Intermittent charging means that the charging process is not continuous, but the current is output intermittently for charging. For example, the charging power will periodically switch between high power and low power, or the charging will be paused and then resumed after a period of time.

[0045] The charging power limited state means that the actual charging power of the charging pile is far lower than its rated power, and is not caused by normal reasons such as the vehicle battery being nearly fully charged.

[0046] It can be concluded from the above that this embodiment improves the pertinence and effectiveness of fault detection, reduces operation and maintenance costs, promotes the long-term stable operation of charging piles, and contributes to the healthy development of the electric vehicle charging facility industry.

[0047] In one embodiment of the present disclosure, determining a target fault detection strategy based on a target fault detection requirement includes: In response to the target fault detection requirement being the first fault detection requirement, using the first fault detection strategy as the target fault detection strategy; In response to the target fault detection requirement being the second fault detection requirement, using the second fault detection strategy as the target fault detection strategy; The first fault detection strategy and the second fault detection strategy are processed in different ways.

[0048] In this embodiment, after the target fault detection requirement is determined, the corresponding fault detection strategy is determined according to its type (the first fault detection requirement or the second fault detection requirement).

[0049] When the target fault detection requirement is the first fault detection requirement, the charging pile is in a charging state. At this time, considering that the charging state involves electrical energy conversion and dynamic interaction with the vehicle, it is greatly affected by environmental factors. At this time, compensation will be considered to make the detection signal more accurate. Therefore, the first fault detection strategy must not only consider compensation, but also consider modeling the compensated data.

[0050] When the target fault detection requirement is the second fault detection requirement, the charging pile is in an uncharged state. At this time, the main consideration is the standby state of the charging pile, such as insulation performance and the running state of the internal self-test program. It is less affected by environmental factors and the model can be directly constructed for the detection data.

[0051] From the above, it can be concluded that this embodiment can more efficiently and accurately perform fault detection and maintenance on charging piles by matching target fault detection strategies with different processing methods according to different target fault detection requirements, thereby improving detection efficiency and accuracy, reducing operation and maintenance costs, and ensuring the stable operation and safety of charging piles in different states.

[0052] In one embodiment of the present disclosure, the target fault detection strategy is a first fault detection strategy; Perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile, including: Acquire a first detection signal set of a charging pile; Compensating the first detection signal set based on the target influencing factor to obtain a target detection signal set; The target detection signal set is input into the first fault detection model to obtain the operating status of the charging pile; wherein the first fault detection model is a fault detection model that determines the operating status of the charging pile based on the first historical detection signal set and the operating status of the charging pile corresponding to the first historical detection signal set.

[0053] In this embodiment, the first detection signal set refers to a set of multiple detection signals collected from various relevant parts of the charging pile during the execution of the first fault detection strategy, for example, a charging voltage signal, a charging current signal, an output power signal, a temperature signal, and a charging gun connection status signal.

[0054] The target influencing factors refer to various factors that may interfere with or deviate the collected first detection signal. For example, external factors such as ambient temperature, humidity, grid voltage fluctuation, electromagnetic interference, and internal factors such as aging of internal components of the charging pile and performance drift may cause the collected detection signal to fail to accurately reflect the actual operating status of the charging pile and require compensation.

[0055] The target detection signal set is a signal set obtained after compensating the first detection signal set according to the target influencing factors. This signal set can more accurately reflect the actual operating status of the charging pile after removing the interference factors, so as to be used for subsequent fault judgment.

[0056] Taking a first historical detection signal set as input; Outputting the known charging pile operation status corresponding to the first historical detection signal set; Training is performed based on the first model to obtain a first fault detection model.

[0057] The first historical detection signal set is multiple groups of detection signal data collected in the past when the charging pile was in a charging state; the known charging pile operating states corresponding to the first historical detection signal set are normal operation, potential faults or failures, and specific fault types; the first model can be a machine learning model or a data analysis model; and the trained first fault detection model can output a judgment result on the current charging pile operating state based on the input target detection signal set.

[0058] When implementing the first fault detection strategy, various relevant detection signals must first be collected from multiple key parts of the charging pile, and these signals together constitute the first detection signal set. For example, real-time voltage and current signals are obtained from the charging circuit, temperature signals are obtained from the temperature sensor on the power module, and connection status signals are obtained from the connection detection device of the charging gun. The collection of these signals may be completed through sensors, data acquisition cards and other equipment, and the frequency and accuracy of the collection are determined according to the detection requirements.

[0059] Since the collected first detection signal set may be distorted by the interference of various target influencing factors, it is necessary to analyze and quantify these influencing factors, and then use corresponding compensation algorithms or technical means to correct the first detection signal set. For example, if the ambient temperature affects the measurement accuracy of a sensor, the error curve of the sensor at different temperatures is known, and the collected sensor signal can be compensated according to the current ambient temperature. For another example, for the impact of grid voltage fluctuations on the charging voltage signal, the real-time fluctuation of the grid voltage can be detected, and a voltage stability compensation circuit can be used or algorithm compensation can be performed in the data processing stage to obtain a target detection signal set that is closer to the actual situation.

[0060] If the target influencing factors are ambient temperature and grid voltage fluctuation, the voltage and current need to be compensated based on the ambient temperature and grid voltage fluctuation to obtain a compensated voltage value and a compensated current value.

[0061] The voltage compensation formula can be:

[0062] in, Indicates the voltage value after compensation, Indicates the measured voltage value. represents the voltage temperature coefficient, Indicates the absolute value of the change between the ambient temperature and the reference temperature. Indicates the grid voltage fluctuation ratio.

[0063] Grid voltage fluctuation ratio: If the grid voltage increases by 5%, then ; if it decreases by 5%, then .

[0064] The voltage temperature coefficient indicates the change in voltage per 1°C change (for example, the voltage is calibrated by the experiment). ), the reference temperature can be 25℃.

[0065] The current compensation formula can be:

[0066] in, Indicates the current value after compensation, Indicates the measured current value, represents the current temperature coefficient (e.g. ), Indicates the absolute value of the change between the ambient temperature and the reference temperature. Indicates the grid voltage fluctuation ratio.

[0067] The target detection signal set after compensation is used as input data and input into the pre-built first fault detection model. Based on historical data and experience, the model has learned the relationship between different detection signal characteristics and the operating status of the charging pile. By analyzing and calculating the input target detection signal set, the model can output the current operating status of the charging pile, such as judging whether the charging pile is operating normally. If there is a fault, it further points out the possible fault type or fault location.

[0068] It can be concluded from the above that this embodiment takes into account the target influencing factors and can effectively reduce the influence of ambient temperature and grid voltage fluctuations by compensating the first detection signal set, making the target detection signal set more real and reliable, and greatly improving the accuracy of fault detection. By constructing the first fault detection model, this embodiment can efficiently judge the operating status of the charging pile, quickly locate the fault, and reduce the blindness and time cost of manual troubleshooting.

[0069] In one embodiment of the present disclosure, the target fault detection strategy is a second fault detection strategy; Perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile, including: Obtaining a second detection signal set of the charging pile; The second detection signal set is input into the second fault detection model to obtain the operating status of the charging pile; wherein the second fault detection model is a fault detection model that determines the operating status of the charging pile based on the second historical detection signal set and the operating status of the charging pile corresponding to the second historical detection signal set.

[0070] In this embodiment, the second detection signal set is a detection signal set collected when the charging pile is in an uncharged state. The above signals mainly reflect the electrical insulation performance and internal self-test information of the charging pile in an uncharged state, such as the insulation resistance signal between the internal electrical components and the outer shell of the charging pile, the running result signal of the self-test program, etc.

[0071] The second fault detection model is a mathematical model constructed by data mining and machine learning algorithms based on a large number of second historical detection signal sets collected in the past when the charging pile was in an uncharging state and the corresponding known charging pile operating states (normal standby, potential faults, etc.). The model can evaluate and judge the operating conditions of the current charging pile in an uncharging state based on the input second detection signal set, and determine whether there are any potential faults or other abnormal conditions.

[0072] In this embodiment, the collected second detection signal set is provided as input data to a pre-trained second fault detection model, which has mastered the association between different second detection signal characteristics and the operating state of the charging pile in the uncharged state through learning historical data. After receiving the input data, the model performs calculations and analysis based on the internal algorithm and logic, and finally outputs the operating state of the current charging pile in the uncharged state, such as judging it as a normal standby state, or indicating the existence of potential fault conditions such as degradation of electrical insulation performance.

[0073] It can be concluded from the above that, on the one hand, this embodiment can reduce the tediousness and uncertainty of manual troubleshooting, quickly determine the operating status, and promptly discover potential fault hazards, such as insulation degradation, etc. On the other hand, this embodiment ensures that the charging pile can start the charging service normally at any time, improves the reliability and stability of the equipment, reduces the operation and maintenance costs, and provides users with a better and more convenient charging experience.

[0074] In one embodiment of the present disclosure, a charging pile operation fault detection method further includes: Determine a detection signal set of the charging pile based on the target fault detection requirement; Processing the detection signal set of the charging pile to obtain a curve graph of the detection signal set; Based on the curve chart, determine whether the charging pile has an operating failure.

[0075] In this embodiment, first, the signal to be detected is determined according to the current state of the charging pile (e.g., charging corresponds to the first fault detection requirement, and non-charging corresponds to the second fault detection requirement), and then the corresponding signal is collected from the corresponding components of the charging pile to form a detection signal set. For example, if it is the first fault detection requirement in the charging state, the charging voltage, charging current, power, temperature and other signals can be collected; if it is the second fault detection requirement in the non-charging state, the internal electrical insulation resistance and other signals can be collected.

[0076] After the detection signal set is collected, the above signals are sorted, converted and plotted. For example, the voltage signal is connected to each data point in time order to form a curve of voltage change over time, and the current signal is processed in the same way, and finally a curve graph containing multiple detection signal curves is obtained, so as to intuitively observe and analyze the change law of the signal.

[0077] This embodiment determines whether the charging pile has a fault by observing the characteristics of each curve in the curve graph. For example, if the charging current curve suddenly drops sharply or fluctuates violently during the charging process, it means that there is a fault in the charging circuit such as poor contact or component damage; if the power module temperature curve continues to rise and exceeds the normal range, it means that the heat dissipation system is faulty or the power module itself is overloaded.

[0078] Take an electric vehicle DC fast charging pile as an example. When it is in charging state: Based on the first fault detection requirement, the determined detection signal set includes charging voltage signal, charging current signal, power module temperature signal and communication signal between charging pile and vehicle. These signals are collected respectively by voltage sensor, current sensor, temperature sensor and communication detection module to obtain a series of data values ​​that change with time and form the detection signal set.

[0079] Next, the data processing program is used to plot the above signals into a curve graph. The horizontal axis is the charging time, and the vertical axis is the voltage value, current value, temperature value, and communication signal strength value (expressed in a certain quantitative way). In the voltage curve graph, if the voltage value rises rapidly to the set value at the beginning of charging and remains relatively stable, this is a normal constant voltage charging stage performance; but if the voltage curve shows a sawtooth fluctuation, it means that the grid voltage is unstable or there is a problem with the voltage regulation circuit of the charging pile.

[0080] From the above, it can be concluded that this embodiment processes the detection signal set into a curve graph, which can intuitively present the dynamic changes of the charging pile operation and observe the fluctuation trend of each parameter at a glance. Compared with simple data judgment, this embodiment judges faults through curve graphs, which greatly reduces the difficulty of judgment and improves the accuracy and efficiency of fault detection.

[0081] In one embodiment of the present disclosure, a charging pile operation fault detection method further includes: The operation status of the charging pile is predicted based on the historical detection signal set of the charging pile.

[0082] In this embodiment, the historical detection signal set is a collection of a series of detection signals collected at certain time intervals during the operation of the charging pile in the past. The above signal includes various parameters of the charging pile in different operating states (such as charging, uncharging, standby, etc.), such as historical records of voltage, current, temperature, communication status and other information.

[0083] By utilizing the existing historical detection signal set and the trained machine learning model, the future operating status of the charging pile can be estimated and inferred, so that possible failures or abnormal conditions can be known in advance, so as to take corresponding preventive measures or optimize the operating strategy.

[0084] This embodiment conducts in-depth analysis and mining of a large amount of historical detection signal data accumulated by the charging pile in the past. For example, if the historical data shows that in the high temperature environment in summer and when the charging pile is working continuously at a high intensity, the temperature signal of the power module often shows a rapid upward trend after running for a period of time. When encountering similar environments and working conditions again, it is possible to predict in advance whether the power module of the current charging pile will fail or degrade due to excessive temperature based on the rules presented by these historical data, and then predict the operating status of the entire charging pile to determine whether it is likely to fail in the near future, so as to arrange maintenance personnel to check in advance, optimize heat dissipation measures or adjust charging task arrangements, etc.

[0085] It can be concluded from the above that this embodiment can detect potential failure risks in advance so as to carry out maintenance in advance and reduce downtime and maintenance costs caused by sudden failures. This embodiment can also improve operation and maintenance efficiency, enhance user experience, and avoid charging interruptions and waiting due to failures. In addition, this embodiment helps to extend the service life of charging piles, improve overall reliability, adapt to the development needs of smart grids and new energy transportation, and promote the healthy and stable development of the industry.

[0086] Corresponding to a charging pile operation fault detection method in the above embodiment, Figure 2 This is a structural block diagram of a charging pile operation fault detection system provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The charging pile operation fault detection system 20 includes: a demand determination module 21, a strategy determination module 22 and a fault detection module 23.

[0087] Wherein, the demand determination module 21 is used to determine the target fault detection demand based on the status information of the charging pile; A strategy determination module 22, configured to determine a target fault detection strategy based on a target fault detection requirement; The fault detection module 23 is used to perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

[0088] In one embodiment of the present disclosure, the status information of the charging pile includes a charging state and an uncharging state; The demand determination module 21 is further specifically used for: If the status information of the charging pile is a charging state, the first fault detection requirement is used as a target fault detection requirement; If the status information of the charging pile is an uncharged state, the second fault detection requirement is used as the target fault detection requirement; The number of detection signal categories required for the first fault detection requirement is greater than the number of detection signal categories required for the second fault detection requirement.

[0089] In one embodiment of the present disclosure, the policy determination module 22 is further configured to: In response to the target fault detection requirement being the first fault detection requirement, using the first fault detection strategy as the target fault detection strategy; In response to the target fault detection requirement being the second fault detection requirement, using the second fault detection strategy as the target fault detection strategy; The first fault detection strategy and the second fault detection strategy are processed in different ways.

[0090] In one embodiment of the present disclosure, the target fault detection strategy is a first fault detection strategy; The fault detection module 23 is further specifically used for: Acquire a first detection signal set of a charging pile; Compensating the first detection signal set based on the target influencing factor to obtain a target detection signal set; The target detection signal set is input into the first fault detection model to obtain the operating status of the charging pile; wherein the first fault detection model is a fault detection model that determines the operating status of the charging pile based on the first historical detection signal set and the operating status of the charging pile corresponding to the first historical detection signal set.

[0091] In one embodiment of the present disclosure, the target fault detection strategy is a second fault detection strategy; The fault detection module 23 is further specifically used for: Obtaining a second detection signal set of the charging pile; The second detection signal set is input into the second fault detection model to obtain the operating status of the charging pile; wherein the second fault detection model is a fault detection model that determines the operating status of the charging pile based on the second historical detection signal set and the operating status of the charging pile corresponding to the second historical detection signal set.

[0092] In one embodiment of the present disclosure, a charging pile operation fault detection system 20 further includes: a fault judgment module; A fault judgment module, used to determine a detection signal set of a charging pile based on a target fault detection requirement; Processing the detection signal set of the charging pile to obtain a curve graph of the detection signal set; Based on the curve chart, determine whether the charging pile has an operating failure.

[0093] In one embodiment of the present disclosure, a charging pile operation fault detection system 20 further includes: a fault prediction module; The fault prediction module is used to predict the operating status of the charging pile based on the historical detection signal set of the charging pile.

[0094] See also Figure 3 , Figure 3 Schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned system embodiments, such as Figure 2 The functions of modules 21 to 23 are shown.

[0095] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0096] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0097] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0098] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a charging pile operation fault detection method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0099] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0100] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0101] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0102] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0103] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0105] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A charging pile operation fault detection method, characterized in that: include: Determine target fault detection requirements based on status information of the charging pile; Determining a target fault detection strategy based on the target fault detection requirement; Fault detection is performed on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

2. A charging pile operation fault detection method as claimed in claim 1, characterized in that: The state information of the charging pile includes a charging state and an uncharging state; The determining of the target fault detection requirement based on the status information of the charging pile includes: If the state information of the charging pile is a charging state, taking the first fault detection requirement as the target fault detection requirement; If the state information of the charging pile is an uncharged state, taking the second fault detection requirement as the target fault detection requirement; The number of detection signal categories required for the first fault detection requirement is greater than the number of detection signal categories required for the second fault detection requirement.

3. A charging pile operation fault detection method as claimed in claim 2, characterized in that: The determining of a target fault detection strategy based on the target fault detection requirement includes: In response to the target fault detection requirement being the first fault detection requirement, using a first fault detection strategy as the target fault detection strategy; In response to the target fault detection requirement being the second fault detection requirement, using the second fault detection strategy as the target fault detection strategy; The first fault detection strategy and the second fault detection strategy are processed in different ways.

4. A charging pile operation fault detection method as claimed in claim 3, characterized in that: The target fault detection strategy is the first fault detection strategy; The performing fault detection on the charging pile based on the target fault detection strategy to determine the operating state of the charging pile includes: Acquire a first detection signal set of a charging pile; Compensating the first detection signal set based on target influencing factors to obtain a target detection signal set; The target detection signal set is input into a first fault detection model to obtain the operating status of the charging pile; wherein the first fault detection model is a fault detection model that determines the operating status of the charging pile based on a first historical detection signal set and the operating status of the charging pile corresponding to the first historical detection signal set.

5. A charging pile operation fault detection method as claimed in claim 3, characterized in that: The target fault detection strategy is the second fault detection strategy; The performing fault detection on the charging pile based on the target fault detection strategy to determine the operating state of the charging pile includes: Obtaining a second detection signal set of the charging pile; The second detection signal set is input into a second fault detection model to obtain the operating status of the charging pile; wherein the second fault detection model is a fault detection model that determines the operating status of the charging pile based on the second historical detection signal set and the operating status of the charging pile corresponding to the second historical detection signal set.

6. A charging pile operation fault detection method as claimed in claim 1, characterized in that: Also includes: Determining a detection signal set of the charging pile based on the target fault detection requirement; Processing the detection signal set of the charging pile to obtain a curve graph of the detection signal set; Based on the curve graph, determine whether the charging pile has an operating fault.

7. A charging pile operation fault detection method as claimed in claim 6, characterized in that: Also includes: A prediction is made based on a historical detection signal set of the charging pile to predict the operating state of the charging pile.

8. A charging pile operation fault detection system, characterized in that: include: A demand determination module, used to determine target fault detection requirements based on the status information of the charging pile; A strategy determination module, used to determine a target fault detection strategy based on the target fault detection requirement; A fault detection module is used to perform fault detection on the charging pile based on the target fault detection strategy to determine the operating status of the charging pile.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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