Ordered charging pile fault diagnosis system and method based on artificial intelligence

Abstract

The invention discloses an orderly charging pile fault diagnosis system and method based on artificial intelligence, and relates to the technical field of charging pile fault management, the system comprises a data acquisition module, a state monitoring module, a fault diagnosis module and an intelligent matching module; collecting data in the working state of the charging pile through the data collection module; the state monitoring module is used for analyzing and processing the collected data and monitoring the running state of the charging pile in real time; the fault type and the fault degree are judged according to the abnormal condition monitored by the fault diagnosis module; the intelligent matching module is used for analyzing the model and distance of the vehicle to carry out matching of a new charging pile; by collecting the data information of the charging pile, intelligently analyzing and diagnosing the fault type and the fault degree of the charging pile and carrying out emergency processing, the influence of the fault of the charging pile on the charging progress of a client can be weakened, and through intelligent matching and information synchronization, the problems that operation is tedious and models are incompatible when the charging pile is rematched are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile fault management, and in particular to an orderly charging pile fault diagnosis system and method based on artificial intelligence. Background Art

[0002] With the popularization of electric vehicles, charging piles are important infrastructure for electric vehicles, and their stability and reliability directly affect the charging experience and satisfaction of users; with the continuous advancement of technology and the increase in social demand, orderly charging has gradually become the focus of research and development. Orderly charging refers to the orderly charging of new energy vehicles. It means that on the premise of meeting the charging needs of new energy vehicles, according to the power load and power demand information of the substation released by the power grid system, combined with the operation status monitoring of charging facilities, the use of technical and economic means, the implementation of power peak-shaving and valley-filling measures, and the guidance of orderly charging of new energy vehicles; when there is no requirement to reduce operating efficiency, the vehicle is charged at full load; it can ensure that the station will not be closed due to power restrictions during peak power consumption periods, thereby improving the operating efficiency of the station; ensuring safe, reliable and convenient charging, and promoting the coordinated and interactive development of new energy vehicles and the power grid; the research and application of orderly charging ensures that the power grid, users, and operators can charge conveniently under the premise of meeting the requirements, and can ensure that the normal use of the vehicle will not be affected when the station is closed due to power restrictions caused by the peak of social power consumption, and can improve the charging efficiency of the vehicle.

[0003] The rapid development of charging piles has made car charging more convenient and efficient. However, when a charging pile fails, it will cause many obstacles to the car charging process and give the car owner a bad charging experience. For example, when the charging pile is seriously damaged during the charging process, there will be certain safety hazards, and a fault diagnosis system is needed to detect and deal with it in time; and when a new charging pile needs to be replaced, the charging port model of the electric vehicle and the type and model of the battery are different due to different car brands. Therefore, when re-matching the charging pile, it is necessary to consider the compatibility of the charging pile with the car charging port and battery, and also consider the distance between the new charging pile and the faulty charging pile. Therefore, the steps are often cumbersome and time-consuming when replacing the charging pile. Summary of the invention

[0004] The purpose of the present invention is to provide an orderly charging pile fault diagnosis system and method based on artificial intelligence to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions: an orderly charging pile fault diagnosis system based on artificial intelligence, the system includes a data acquisition module, a state monitoring module, a fault diagnosis module and an intelligent matching module;

[0006] The data acquisition module uses a data acquisition device to collect data on the working status of the charging pile;

[0007] The state monitoring module analyzes and processes the collected data, compares the collected data with the set standard threshold, analyzes whether there is an abnormal situation, and monitors the operating status of the charging pile in real time;

[0008] Analyze the monitored abnormal situation through the fault diagnosis module to determine the fault type and fault degree;

[0009] The intelligent matching module is used to match a new charging pile according to the model of the vehicle and the distance between the charging pile and the vehicle.

[0010] Furthermore, the data acquisition module collects data of the charging pile in real time when it is in working state; during the working process of the charging pile, the output current and output voltage data of the charging pile are collected, and the charging efficiency of the charging pile is analyzed; a temperature sensor is set inside the charging pile to collect the internal temperature data of the charging pile; various data of the working state of the charging pile are collected in real time and stored.

[0011] Furthermore, the status monitoring module analyzes and processes the collected data, monitors the operating status of the charging pile in real time, and by setting standard thresholds, the system can automatically determine whether various data exceed the normal range, thereby timely discovering potential faults and generating early warnings.

[0012] Furthermore, the fault diagnosis module further analyzes the fault type and fault degree of the charging pile according to the monitored abnormal information, generates different early warning prompts according to the fault type, and determines whether the charging pile needs to be replaced according to the fault degree.

[0013] Furthermore, the intelligent matching module analyzes the model configuration information and location information of the charging piles near the location of the failed charging pile, and obtains the charging pile that matches the car model by comparing the model information of the charging pile with the stored car model information, and matches one of all the charging piles that match the model that is closest to the current car location, and inputs the collected vehicle information and charging requirements into the newly matched charging pile, directly performs information matching, and synchronizes the location information of the newly matched charging pile to the car owner via wireless transmission, guiding the car owner to transfer the vehicle to the new location of the charging pile.

[0014] The orderly charging pile fault diagnosis method based on artificial intelligence is characterized by:

[0015] S1: Collect data information on the working status of the charging pile;

[0016] S2: Analyze and process the collected data information, monitor the operating status of the charging pile by comparing and analyzing it with the set standard threshold, and issue an early warning when an abnormal operating status is detected;

[0017] S3: Determine the fault type and degree of the charging pile based on the analysis of abnormal data, and determine whether to replace the charging pile according to the fault type and degree.

[0018] S4: When it is determined that the charging pile needs to be replaced, store and transmit the vehicle information collected by the faulty charging pile, and then match the best charging pile through intelligent analysis.

[0019] Further, in step S1: The data information of the charging pile during the working state is collected in real time through the information collection device, including the data information of the component temperature, current, and voltage when the charging pile is in the working state, and the collected data information is stored.

[0020] Further, in step S2: Set the standard threshold of the operating data of the charging pile in the working state, and compare and analyze the collected data with the set data threshold to monitor the operating state of the charging pile in real time; when the charging pile is in the working state, set the standard value of the component temperature of the charging pile as T0, the temperature floating value as ΔT, and the highest temperature threshold of the charging pile component as T0 + ΔT; set the standard value of the charging efficiency of the charging pile when it is working as η0, the charging efficiency fluctuation value as Δη, then the lowest standard threshold of the charging efficiency of the charging pile is η0 - Δη; represent the equipment temperature during the charging process of the charging pile collected by the information collection device as T, the output voltage as U, and the output current as I, and analyze the actual charging efficiency of the charging pile according to the collected data:

[0021]

[0022] Among them, η represents the actual charging efficiency of the charging pile, and P0 represents the input power of the charging pile.

[0023] Compare and analyze the collected temperature information and the actual charging efficiency obtained from the analysis with the standard threshold, and the analysis results are as follows:

[0024] When T0 < T < T0 + ΔT, it is judged that the temperature of the charging pile is relatively high, but it has not reached the level that will cause potential safety hazards, and generate an instruction to control the red warning light to turn on.

[0025] When T > T0 + ΔT, it is judged that the internal temperature of the charging pile is too high and will cause potential safety hazards, then generate an instruction to control the red warning light to turn on and control the buzzer to sound for warning, and immediately cut off the power supply of this charging pile.

[0026] When η0 - Δη < η < η0, it is judged that the charging efficiency of the charging pile is relatively low, then generate an instruction to control the yellow warning light to turn on for warning.

[0027] When η<η0-Δη, it is judged that the charging efficiency of the charging pile is too low, and a command is generated to control the yellow warning light to light up and the buzzer to sound for warning.

[0028] Furthermore, in step S3: by further analyzing the warning type, the fault type and fault degree of the charging pile are determined, and different processing solutions are generated according to the fault degree and fault type; the warning type is divided into the following four situations:

[0029] When the red warning light is on, it is judged as a minor over-temperature fault, and the cooling fan is turned on to accelerate the heat dissipation of the charging pile;

[0030] When the red warning light is on and the alarm buzzer sounds, it is judged as a serious over-temperature fault, and the power supply of the charging pile is immediately cut off to stop the operation of the faulty charging pile. At the same time, the control system re-matches the charging pile for the car charging there;

[0031] When the yellow warning light is on, it is judged as a minor inefficiency fault. At this time, the input power can be increased to ensure that the user completes charging within the expected charging time. After the charging is completed, the faulty charging pile is temporarily locked to prompt maintenance personnel to check and repair;

[0032] When the yellow warning light comes on and the alarm buzzer sounds, it is judged as a serious inefficient charging fault. The charging pile needs to be stopped and a suitable charging pile will be re-matched for the car originally charged here.

[0033] Furthermore, in step S4: for a charging pile with a serious fault, recorded as charging pile a, while stopping its operation, a new charging pile shall be matched for the car originally charged at the charging pile; charging pile a has collected information of the car originally charged there, including the model of the car's charging port, battery power, required charging amount and billing information of the amount of power already charged, and this information is collected and stored in the control system. The system first selects nearby charging piles that match the model of the car's charging port according to the model of the car's charging port, recorded as set A, and then selects charging piles within a distance of L according to the distance between the nearby charging piles and charging pile a, recorded as set B, and then takes the intersection of set A and set B, and the intersection is recorded as set C; among the charging piles in set C, the usage time period of the charging piles is analyzed, and the currently idle charging piles are classified into set D, and the charging piles in set D can be replaced and used immediately; the current time is not idle, but the system currently detects that there are no other cars during the low-peak charging period The charging piles reserved for use by the vehicles are classified into set E. The low-peak charging period is the time period when the charging pile utilization rate is less than 30%. The low-peak charging period is determined according to the charging pile utilization rate. The charging pile utilization rate is the ratio of the number of charging piles used by users in different time periods to the total number of charging piles analyzed by the system. For example, the time period from 7 pm to 10 pm every day is the peak time for people to use charging piles. During this time period, 80% to 90% of the charging piles may be occupied for charging. During the day, especially on weekdays, from 9 am to 12 pm, or from 2 pm to 6 pm, the number of charging piles used may only be 20% to 30% of the total number of charging piles, or even lower. By analyzing these data, the time periods of the charging peak period and the charging low-peak period can be analyzed. And due to the setting of orderly charging, charging during the charging low-peak period will obtain higher charging power and faster charging speed, which is the advantage of customers choosing to charge during the charging low-peak period. Based on this, two charging pile replacement plans are generated:

[0034] Solution 1: Select a device that can be charged immediately, that is, select a charging pile in set D. In this solution, for the charging piles included in set D, the distances between the locations of different charging piles and charging pile a are analyzed, and the charging pile closest to charging pile a is selected as the best choice for replacing the charging pile. Selecting this solution can help users who are in urgent need of charging quickly find a nearby charging pile that is suitable for the user's vehicle model and is the closest to the user for replacement, saving the user's time and avoiding tedious operations for the user, thereby improving user satisfaction.

[0035] Solution 2: Select devices that can be charged during the low-peak charging period, that is, select charging piles in set E. In this solution, the overall time period of the low-peak charging period is divided into n time periods on the system, and the available time periods are presented on the mini program for users to select and reserve charging time in advance. The charging piles in set E are classified according to the different time periods for scheduled charging, and the charging piles that can be used in the same usage time period are classified into the same subset, which is expressed as: where i = t1, t2, ..., t n , indicating the different time periods during which the charging piles can be used; in the above set, set E contains all charging piles that have unbooked usage time during the overall time period of the charging pile off-peak period, and set E i are respectively included in i=t1, t2, ..., t n Charging piles that can be reserved for use within a time period; for different charging piles included in each subset, analyze the distances between the locations of different charging piles and charging pile a, and select the charging pile closest to charging pile a as the best choice for replacing the charging pile within this time period that can be reserved for use; after selecting this solution, the user selects a charging pile within a time period that he or she is satisfied with according to his or her own schedule, and after the user's selection, analyzes the best choice for replacing the charging pile, and then locks the charging pile for the user and reserves the use time; selecting this solution can provide the user with more charging pile options when the user is not in a hurry to charge, and reserve charging piles for the user during the off-peak period, thereby improving the charging efficiency of the user's vehicle during the charging process, and the user can select the charging time period by himself or herself from the provided options, which can also appropriately cooperate with the user's time and bring convenience to the user, while disturbing the user when he or she has something to deal with, bringing a bad experience to the user;

[0036] After the control system analyzes the matching scheme of the new charging pile, it will be fed back to the user through the applet associated with the charging pile control system, so as to provide the customer with a charging pile replacement scheme that can be selected. After the user selects the charging scheme, further analysis is performed to obtain the best choice of replacement charging pile in the scheme selected by the customer, and the charging pile is recorded as charging pile b;

[0037] After the re-matching of the charging pile is completed, the control system will synchronize the car battery power, required charging amount and already charged billing information collected by charging pile a to charging pile b through the control system, and complete the charging power calculation according to the power grid power curve after the information is synchronized. At the same time, the location information of the charging pile is synchronized to the car owner, guiding the car owner to transfer the vehicle to the location of charging pile b for charging; after the model information and billing information are synchronized to the newly matched charging pile by the control system, the cumbersome means of customers replacing charging piles are reduced, and the replacement of charging piles becomes more convenient and efficient, bringing customers a better charging experience; and the synchronization of billing information can avoid economic disputes with customers, and also avoid the cumbersome process of refund and re-billing.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] By collecting data information of the charging pile in working state, the purpose of real-time monitoring of the operating status of the charging pile can be achieved, and timely processing can be carried out when a fault is found, which can solve the safety hazards caused by the faulty charging pile. When the charging pile needs to be replaced, intelligent analysis is used to select the most suitable charging pile to match the car, and the car information is directly synchronized, which solves the current problems of model compatibility and cumbersome and time-consuming operation in the matching process of the car and the charging pile. In addition, by providing users with multiple time periods, replacing the charging pile is more flexible and convenient, which can cater to the user's schedule. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a structural schematic diagram of an orderly charging pile fault diagnosis system based on artificial intelligence of the present invention;

[0041] Figure 2 It is a flow chart of the orderly charging pile fault diagnosis method based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] like Figure 1-Figure 2 As shown, the present invention provides a technical solution: an orderly charging pile fault diagnosis system based on artificial intelligence; the system includes a data acquisition module, a state monitoring module, a fault diagnosis module and an intelligent matching module;

[0044] The data acquisition module uses a data acquisition device to collect data on the working status of the charging pile;

[0045] The state monitoring module analyzes and processes the collected data, compares the collected data with the set standard threshold, analyzes whether there is an abnormal situation, and monitors the operating status of the charging pile in real time;

[0046] Analyze the monitored abnormal situation through the fault diagnosis module to determine the fault type and fault degree;

[0047] The intelligent matching module is used to match a new charging pile according to the model of the vehicle and the distance between the charging pile and the vehicle.

[0048] The data acquisition module collects data of the working state of the charging pile in real time; during the working process of the charging pile, the output current and output voltage data of the charging pile are collected, and the charging efficiency of the charging pile is analyzed; a temperature sensor is set inside the charging pile to collect the internal temperature data of the charging pile; various data of the working state of the charging pile are collected in real time and stored.

[0049] The status monitoring module analyzes and processes the collected data and monitors the operating status of the charging pile in real time. By setting standard thresholds, the system can automatically determine whether various data exceed the normal range, thereby timely discovering potential faults and generating early warnings.

[0050] The fault diagnosis module further analyzes the fault type and fault degree of the charging pile according to the monitored abnormal information, generates different early warning prompts according to the fault type, and determines whether the charging pile needs to be replaced according to the fault degree.

[0051] The intelligent matching module analyzes the model configuration information and location information of the charging piles near the location of the failed charging pile, and obtains the charging pile that matches the car model by comparing the model information of the charging pile with the stored car model information, and matches one of all the charging piles that match the model that is closest to the current car location, and inputs the collected vehicle information and charging requirements into the newly matched charging pile, directly performs information matching, and synchronizes the location information of the newly matched charging pile to the car owner via wireless transmission, guiding the car owner to transfer the vehicle to the location of the new charging pile.

[0052] The orderly charging pile fault diagnosis method based on artificial intelligence is characterized by:

[0053] S1: Collect data information on the working status of the charging pile;

[0054] S2: Analyze and process the collected data information, monitor the operating status of the charging pile by comparing and analyzing it with the set standard threshold, and issue an early warning when an abnormal operating status is detected;

[0055] S3: Judge the fault type and degree of the charging pile according to the analysis of abnormal data, and judge whether the charging pile needs to be replaced according to the fault type and degree;

[0056] S4: When it is judged that the charging pile needs to be replaced, store and transmit the vehicle information collected by the faulty charging pile, and then match the best charging pile through intelligent analysis.

[0057] In step S1: The data information of the charging pile in the working state is collected in real time through the information collection device, including the data information of the component temperature, current, and voltage when the charging pile is in the working state, and the collected data information is stored.

[0058] In step S2: Set the standard threshold of the operating data of the charging pile in the working state, and compare and analyze the collected data with the set data threshold to monitor the operating state of the charging pile in real time; When the charging pile is in the working state, the standard value of the component temperature of the charging pile is T0, the temperature floating value is ΔT, and the highest temperature threshold of the charging pile component is T0 + ΔT; Set the standard value of the charging efficiency of the charging pile when it is working as η0, and the charging efficiency fluctuation value is Δη, then the lowest standard threshold of the charging efficiency of the charging pile is η0 - Δη; Represent the equipment temperature during the charging process of the charging pile collected by the information collection device as T, the output voltage as U, and the output current as I, and analyze the actual charging efficiency of the charging pile according to the collected data:

[0059]

[0060] Among them, η represents the actual charging efficiency of the charging pile, and P0 represents the input power of the charging pile;

[0061] Compare and analyze the collected temperature information and the actual charging efficiency obtained from the analysis with the standard threshold, and the analysis results are as follows:

[0062] When T0 < T < T0 + ΔT, it is judged that the temperature of the charging pile is relatively high, but it has not reached the level that will cause potential safety hazards, and generate an instruction to control the red warning light to turn on;

[0063] When T > T0 + ΔT, it is judged that the internal temperature of the charging pile is too high and will cause potential safety hazards, then generate an instruction to control the red warning light to turn on and control the buzzer to sound for warning, and immediately cut off the power supply of this charging pile;

[0064] When η0 - Δη < η < η0, it is judged that the charging efficiency of the charging pile is relatively low, and generate an instruction to control the yellow warning light to turn on for warning;

[0065] When η < η0 - Δη, it is judged that the charging efficiency of the charging pile is too low, and generate an instruction to control the yellow warning light to turn on and control the buzzer to sound for warning.

[0066] In step S3: by further analyzing the warning type, the fault type and fault degree of the charging pile are determined, and different processing solutions are generated according to the fault degree and fault type; according to the warning type, it is divided into the following four situations:

[0067] When the red warning light is on, it is judged as a minor over-temperature fault, and the cooling fan is turned on to accelerate the heat dissipation of the charging pile;

[0068] When the red warning light is on and the alarm buzzer sounds, it is judged as a serious over-temperature fault, and the power supply of the charging pile is immediately cut off to stop the operation of the faulty charging pile. At the same time, the control system re-matches the charging pile for the car charging there;

[0069] When the yellow warning light is on, it is judged as a minor inefficiency fault. At this time, the input power can be increased to ensure that the user completes charging within the expected charging time. After the charging is completed, the faulty charging pile is temporarily locked to prompt maintenance personnel to check and repair;

[0070] When the yellow warning light comes on and the alarm buzzer sounds, it is judged as a serious inefficient charging fault. The charging pile needs to be stopped and a suitable charging pile will be re-matched for the car originally charged here.

[0071] In step S4: for the charging pile with serious fault, record it as charging pile a, and stop its operation while re-matching the charging pile for the car originally charged at the charging pile; charging pile a has collected the information of the car originally charged here, including the model of the car's charging port, battery power, required charging amount and billing information of the amount of power already charged, and this information is collected and stored in the control system. The system first selects the nearby charging piles that match the model of the car's charging port according to the model of the car's charging port, which is recorded as set A, and then selects the charging piles within a distance of L according to the distance between the nearby charging piles and the charging pile a, which is recorded as set B, and then takes the intersection of set A and set B, and the intersection is recorded as set C; among the charging piles in set C, analyze the usage time period of the charging piles, and classify the currently idle charging piles into set D, and the charging piles in set D can be replaced and used immediately; the current time is not idle, but the system currently detects that there are no other vehicles scheduled to use during the low-peak charging period The charging piles used are classified into set E. The low-peak period of charging is the time period when the utilization rate of charging piles is less than 30%. The low-peak period of charging is determined according to the utilization rate of charging piles. The utilization rate of charging piles is the ratio of the number of charging piles used by users in different time periods to the total number of charging piles. For example, the time period from 7pm to 10pm every day is the peak period for people to use charging piles. During this time period, 80% to 90% of the charging piles may be occupied for charging. During the day, especially on weekdays, from 9am to 12pm, or from 2pm to 6pm, the number of charging piles used may only be 20% to 30% of the total number of charging piles, or even lower. By analyzing these data, the time periods of the peak charging period and the low-peak charging period can be analyzed. And due to the setting of orderly charging, charging during the low-peak period will obtain higher charging power and faster charging speed, which is the advantage of customers choosing to charge during the low-peak period. Based on this, two charging pile replacement plans are generated:

[0072] Solution 1: Select a device that can be charged immediately, that is, select a charging pile in set D. In this solution, for the charging piles included in set D, the distances between the locations of different charging piles and charging pile a are analyzed, and the charging pile closest to charging pile a is selected as the best choice for replacing the charging pile. Selecting this solution can help users who are in urgent need of charging quickly find a nearby charging pile that is suitable for the user's vehicle model and is the closest to the user for replacement, saving the user's time and avoiding tedious operations for the user, thereby improving user satisfaction.

[0073] Solution 2: Select devices that can be charged during the low-peak charging period, that is, select charging piles in set E. In this solution, the overall time period of the low-peak charging period is divided into n time periods on the system, and the available time periods are presented on the mini program for users to select and reserve charging time in advance. The charging piles in set E are classified according to the different time periods for scheduled charging, and the charging piles that can be used in the same usage time period are classified into the same subset, which is expressed as: where i = t1, t2, ..., t n , indicating the different time periods during which the charging piles can be used; in the above set, set E contains all charging piles that have unbooked usage time during the overall time period of the charging pile off-peak period, and set E i are respectively included in i=t1, t2, ..., t n Charging piles that can be reserved for use within a time period; for different charging piles included in each subset, analyze the distances between the locations of different charging piles and charging pile a, and select the charging pile closest to charging pile a as the best choice for replacing the charging pile within this time period that can be reserved for use; after selecting this solution, the user selects a charging pile within a time period that he or she is satisfied with according to his or her own schedule, and after the user's selection, analyzes the best choice for replacing the charging pile, and then locks the charging pile for the user and reserves the use time; selecting this solution can provide the user with more charging pile options when the user is not in a hurry to charge, and reserve charging piles for the user during the off-peak period, thereby improving the charging efficiency of the user's vehicle during the charging process, and the user can select the charging time period by himself or herself from the provided options, which can also appropriately cooperate with the user's time and bring convenience to the user, while disturbing the user when he or she has something to deal with, bringing a bad experience to the user;

[0074] After the control system analyzes the matching scheme of the new charging pile, it will be fed back to the user through the applet associated with the charging pile control system, so as to provide the customer with a charging pile replacement scheme that can be selected. After the user selects the charging scheme, further analysis is performed to obtain the best choice of replacement charging pile in the scheme selected by the customer, and the charging pile is recorded as charging pile b;

[0075] After the re-matching of the charging pile is completed, the control system will synchronize the car battery power, required charging amount and already charged billing information collected by charging pile a to charging pile b through the control system, and complete the charging power calculation according to the power grid power curve after the information is synchronized. At the same time, the location information of the charging pile is synchronized to the car owner, guiding the car owner to transfer the vehicle to the location of charging pile b for charging; after the model information and billing information are synchronized to the newly matched charging pile by the control system, the cumbersome means of customers replacing charging piles are reduced, and the replacement of charging piles becomes more convenient and efficient, bringing customers a better charging experience; and the synchronization of billing information can avoid economic disputes with customers, and also avoid the cumbersome process of refund and re-billing.

[0076] Embodiment 1:

[0077] In step S1: the data information of the charging pile in the working state is collected in real time by the information collection device, including the data information of the component temperature, current and voltage of the charging pile in the working state, and the collected data information is stored.

[0078] In step S2: set the standard threshold of the operating data of the charging pile in the working state, and compare and analyze the collected data with the set data threshold to monitor the operating state of the charging pile in real time; set the standard value of the component temperature of the charging pile in the working state to T0=35°C, the temperature fluctuation value to ΔT=10°C, and the maximum temperature threshold of the charging pile component to T0+ΔT=45°C; set the standard value of the charging efficiency of the charging pile when it is working to η0=80%, and the charging efficiency fluctuation value to Δη=10%, then the minimum standard threshold of the charging efficiency of the charging pile is η0-Δη=70%; the device temperature of the charging pile collected by the information collection device during the working process is expressed as T=55°C, the output voltage is expressed as U=380V, and the output current is expressed as I=125A, then the actual charging efficiency of the charging pile is analyzed according to the collected data:

[0079]

[0080] Wherein, η represents the actual charging efficiency of the charging pile, P0 represents the input power of the charging pile, P0 = 60kW; the actual charging efficiency is calculated as: η = 79.2%;

[0081] The collected temperature information and the actual charging efficiency obtained by analysis are compared with the standard threshold. The analysis results are as follows:

[0082] T=55℃>T0+ΔT, it is judged that the internal temperature of the charging pile is too high, which will cause safety hazards, then a command is generated to control the red warning light to light up and the buzzer to sound for warning, and the power supply of the charging pile is immediately cut off;

[0083] η0-Δη<η=79.2%<η0, it is judged that the charging efficiency of the charging pile is low, and an instruction is generated to control the yellow warning light to light up for warning;

[0084] In step S3: by further analyzing the warning type, the fault type and fault degree of the charging pile are determined, and different processing solutions are generated according to the fault degree and fault type; the fault is determined according to the warning type:

[0085] If the red warning light is on and the alarm buzzer sounds, it is judged as a serious over-temperature fault, and the power supply of the charging pile is immediately cut off, the operation of the faulty charging pile is stopped, and the control system re-matches the charging pile for the car charging there;

[0086] When the yellow warning light is on, it is judged as a minor inefficiency fault. At this time, the input power can be increased to ensure that the user completes charging within the expected charging time. After the charging is completed, the faulty charging pile is temporarily locked to prompt maintenance personnel to check and repair;

[0087] In step S4: for the charging pile with serious fault, record it as charging pile a, and stop its operation while re-matching the charging pile for the car originally charged at the charging pile; charging pile a has collected the information of the car originally charged here, including the model of the car's charging port, battery power, required charging amount and billing information of the amount of power already charged, and this information is collected and stored in the control system. The system first selects the nearby charging piles that match the model of the car's charging port according to the model of the car's charging port, which is recorded as set A, and then selects the charging piles within a distance of L according to the distance between the nearby charging piles and the charging pile a, which is recorded as set B, and then takes the intersection of set A and set B, and the intersection is recorded as set C; among the charging piles in set C, analyze the usage time period of the charging piles, and classify the currently idle charging piles into set D, and the charging piles in set D can be replaced and used immediately; the current time is not idle, but the system currently detects that there are no other vehicles scheduled to use during the low-peak charging period The charging piles used are classified into set E. The low-peak period of charging is the time period when the utilization rate of charging piles is less than 30%. The low-peak period of charging is determined according to the utilization rate of charging piles. The utilization rate of charging piles is the ratio of the number of charging piles used by users in different time periods to the total number of charging piles. For example, the time period from 7pm to 10pm every day is the peak period for people to use charging piles. During this time period, 80% to 90% of the charging piles may be occupied for charging. During the day, especially on weekdays, from 9am to 12pm, or from 2pm to 6pm, the number of charging piles used may only be 20% to 30% of the total number of charging piles, or even lower. By analyzing these data, the time periods of the peak charging period and the low-peak charging period can be analyzed. And due to the setting of orderly charging, charging during the low-peak period will obtain higher charging power and faster charging speed, which is the advantage of customers choosing to charge during the low-peak period. Based on this, two charging pile replacement plans are generated:

[0088] Solution 1: Select a device that can be charged immediately, that is, select a charging pile in set D. In this solution, for the charging piles included in set D, the distances between the locations of different charging piles and charging pile a are analyzed, and the charging pile closest to charging pile a is selected as the best choice for replacing the charging pile. Selecting this solution can help users who are in urgent need of charging quickly find a nearby charging pile that is suitable for the user's vehicle model and is the closest to the user for replacement, saving the user's time and avoiding tedious operations for the user, thereby improving user satisfaction.

[0089] Solution 2: Select devices that can be charged during the low-peak charging period, that is, select charging piles in set E. In this solution, the overall time period of the low-peak charging period is divided into n time periods on the system, and the available time periods are presented on the mini program for users to select and reserve charging time in advance. The charging piles in set E are classified according to the different time periods for scheduled charging, and the charging piles that can be used in the same usage time period are classified into the same subset, which is expressed as: where i = t1, t2, ..., t n , indicating the different time periods during which the charging piles can be used; in the above set, set E contains all charging piles that have unbooked usage time during the overall time period of the charging pile off-peak period, and set E i are respectively included in i=t1, t2, ..., t n Charging piles that can be reserved for use within a time period; for different charging piles included in each subset, analyze the distances between the locations of different charging piles and charging pile a, and select the charging pile closest to charging pile a as the best choice for replacing the charging pile within this time period that can be reserved for use; after selecting this solution, the user selects a charging pile within a time period that he or she is satisfied with according to his or her own schedule, and after the user's selection, analyzes the best choice for replacing the charging pile, and then locks the charging pile for the user and reserves the use time; selecting this solution can provide the user with more charging pile options when the user is not in a hurry to charge, and reserve charging piles for the user during the off-peak period, thereby improving the charging efficiency of the user's vehicle during the charging process, and the user can select the charging time period by himself or herself from the provided options, which can also appropriately cooperate with the user's time and bring convenience to the user, while disturbing the user when he or she has something to deal with, bringing a bad experience to the user;

[0090] After the control system analyzes the matching scheme of the new charging pile, it will be fed back to the user through the applet associated with the charging pile control system, providing the customer with a charging pile replacement scheme that can be selected. If the customer chooses scheme 1, the charging piles in set D will be immediately analyzed, and the charging pile closest to charging pile a will be selected as the best choice for replacing the charging pile, and the charging pile will be recorded as charging pile b;

[0091] After the re-matching of the charging pile is completed, the control system will synchronize the car battery power, required charging amount and already charged billing information collected by charging pile a to charging pile b through the control system, and complete the charging power calculation according to the power grid power curve after the information is synchronized. At the same time, the location information of the charging pile is synchronized to the car owner, guiding the car owner to transfer the vehicle to the location of charging pile b for charging; after the model information and billing information are synchronized to the newly matched charging pile by the control system, the cumbersome means of customers replacing charging piles are reduced, and the replacement of charging piles becomes more convenient and efficient, bringing customers a better charging experience; and the synchronization of billing information can avoid economic disputes with customers, and also avoid the cumbersome process of refund and re-billing.

[0092] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. Orderly charging pile fault diagnosis system based on artificial intelligence, characterized by: The system includes a data acquisition module, a status monitoring module, a fault diagnosis module and an intelligent matching module; The data acquisition module uses a data acquisition device to collect data on the working status of the charging pile; The state monitoring module analyzes and processes the collected data, compares the collected data with the set standard threshold, analyzes whether there is an abnormal situation, and monitors the operating status of the charging pile in real time; Analyze the monitored abnormal situation through the fault diagnosis module to determine the fault type and fault degree; The intelligent matching module is used to match a new charging pile according to the model of the vehicle and the distance between the charging pile and the vehicle.

2. The orderly charging pile fault diagnosis system based on artificial intelligence according to claim 1 is characterized in that: The data acquisition module collects data of the working state of the charging pile in real time; during the working process of the charging pile, the output current and output voltage data of the charging pile are collected, and the charging efficiency of the charging pile is analyzed; a temperature sensor is set inside the charging pile to collect the internal temperature data of the charging pile; various data of the working state of the charging pile are collected in real time and stored.

3. The artificial intelligence-based orderly charging pile fault diagnosis system according to claim 1 is characterized in that: The status monitoring module analyzes and processes the collected data and monitors the operating status of the charging pile in real time. By setting standard thresholds, the system can automatically determine whether various data exceed the normal range, thereby timely discovering potential faults and generating early warnings.

4. The orderly charging pile fault diagnosis system based on artificial intelligence according to claim 1 is characterized in that: The fault diagnosis module further analyzes the fault type and fault degree of the charging pile according to the monitored abnormal information, generates different early warning prompts according to the fault type, and determines whether the charging pile needs to be replaced according to the fault degree.

5. The orderly charging pile fault diagnosis system based on artificial intelligence according to claim 1 is characterized in that: The intelligent matching module analyzes the model configuration information and location information of the charging piles near the location of the failed charging pile, and obtains the charging pile that matches the car model by comparing the model information of the charging pile with the stored car model information, and matches one of all the charging piles that match the model that is closest to the current car location, and inputs the collected vehicle information and charging requirements into the newly matched charging pile, directly performs information matching, and synchronizes the location information of the newly matched charging pile to the car owner via wireless transmission, guiding the car owner to transfer the vehicle to the location of the new charging pile.

6. An orderly charging pile fault diagnosis method based on artificial intelligence, characterized by: S1: Collect data information on the working status of the charging pile; S2: Analyze and process the collected data information, monitor the operating status of the charging pile by comparing and analyzing it with the set standard threshold, and issue an early warning when an abnormal operating status is detected; S3: judging the fault type and fault degree of the charging pile according to the analysis of the abnormal data, and judging whether the charging pile needs to be replaced according to the fault type and fault degree; S4: When it is determined that the charging pile needs to be replaced, the vehicle information collected from the faulty charging pile is stored and transmitted, and then the best charging pile is matched through intelligent analysis.

7. The method for orderly fault diagnosis of charging piles based on artificial intelligence according to claim 6 is characterized in that: In step S1: the data information of the charging pile in the working state is collected in real time by the information collection device, including the data information of the component temperature, current and voltage of the charging pile in the working state, and the collected data information is stored.

8. The method for orderly fault diagnosis of charging piles based on artificial intelligence according to claim 6 is characterized in that: In step S2: Set the standard thresholds for the operating data of the charging pile in the working state, and compare and analyze the collected data with the set data thresholds to monitor the operating state of the charging pile in real time; Set that when the charging pile is in the working state, the standard value of the component temperature of the charging pile is T0, the temperature floating value is ΔT, and the highest temperature threshold of the charging pile components is T0 + ΔT; Set the standard value of the charging efficiency when the charging pile is working as η0, and the charging efficiency fluctuation value is Δη, then the lowest standard threshold of the charging efficiency of the charging pile is η0 - Δη; Represent the device temperature during the charging process of the charging pile collected by the information collection device as T, the output voltage as U, and the output current as I, and analyze the actual charging efficiency of the charging pile based on the collected data: Among them, η represents the actual charging efficiency of the charging pile, and P0 represents the input power of the charging pile; Compare and analyze the collected temperature information and the actual charging efficiency obtained from the analysis with the standard thresholds, and the analysis results are as follows: When T0 < T < T0 + ΔT, it is judged that the temperature of the charging pile is relatively high, but it has not reached the level that will cause potential safety hazards, and generate an instruction to control the red warning light to turn on; When T > T0 + ΔT, it is judged that the internal temperature of the charging pile is too high and will cause potential safety hazards, then generate an instruction to control the red warning light to turn on and control the buzzer to sound for warning, and immediately cut off the power supply of this charging pile; When η0 - Δη < η < η0, it is judged that the charging efficiency of the charging pile is relatively low, then generate an instruction to control the yellow warning light to turn on for warning; When η < η0 - Δη, it is judged that the charging efficiency of the charging pile is too low, then generate an instruction to control the yellow warning light to turn on and control the buzzer to sound for warning.

9. The method for orderly charging pile fault diagnosis based on artificial intelligence according to claim 8 is characterized in that: In step S3: Further analyze the warning type to judge the fault type and fault degree of the charging pile, and generate different treatment plans according to the fault degree and fault type; It is divided into the following four situations according to the warning type: When the red warning light is on, it is judged as a minor over-temperature fault, then turn on the cooling fan to accelerate the heat dissipation of the charging pile; When the red warning light is on and the alarm buzzer sounds, it is judged as a serious over-temperature fault, then immediately cut off the power supply of the charging pile, stop the operation of the faulty charging pile, and at the same time the control system re-matches a charging pile for the vehicle charging here; When the yellow warning light is on, it is judged as a minor low-efficiency fault. At this time, the input power can be increased to ensure that the user can complete the charging within the expected charging time, and temporarily lock the faulty charging pile after this charging is completed, and prompt the maintenance personnel to conduct a troubleshooting and repair; When the yellow warning light is on and the alarm buzzer sounds, it is judged as a serious low-efficiency charging fault, and it is necessary to stop the operation of this charging pile, and re-match a suitable charging pile for the vehicle that was originally charging here.

10. The artificial intelligence-based orderly charging pile fault diagnosis method according to claim 9 is characterized in that: In step S4: for a charging pile with a serious fault, record it as charging pile a, and stop its operation while re-matching the charging pile for the car originally charged at the charging pile; charging pile a has collected information about the car originally charged there, including the model of the car's charging port, battery power, required charging amount, and billing information of the amount already charged. After the information is collected, it is stored in the control system. The system first selects the nearby charging piles that match the model of the car's charging port according to the model of the car's charging port, which is recorded as set A. Then, according to the distance between the nearby charging piles and charging pile a, the charging piles within the distance L are selected, which is recorded as set B. Then, the intersection of set A and set B is taken, and the intersection is recorded as set C. Among the charging piles in set C, the use time period of the charging piles is analyzed, and the currently idle charging piles are classified into set D. The charging piles in set D can be replaced and used immediately. The charging piles that are not idle at the current time but the system currently detects that no other vehicles have reserved for use during the low-peak charging period are classified into set E; two charging pile replacement plans are generated: Solution 1: Select a device that can be charged immediately, that is, select a charging pile in set D. In this solution, for the charging piles included in set D, analyze the distances between the locations of different charging piles and charging pile a, and select the charging pile closest to charging pile a as the best choice for replacing the charging pile. Solution 2: Select devices that can be charged during the low-peak charging period, that is, select charging piles in set E. In this solution, the overall time period of the low-peak charging period is divided into n time periods on the system, and the available time periods are presented on the mini program for users to select and reserve charging time in advance. The charging piles in set E are classified according to the different time periods for scheduled charging, and the charging piles that can be used in the same usage time period are classified into the same subset, which is expressed as: where i = t1, t2, ..., t n , indicating the different time periods during which the charging piles can be used; in the above set, set E contains all charging piles that have unbooked usage time during the overall time period of the charging pile off-peak period, and set E i are respectively included in i=t1, t2, ..., t n The charging piles that can be reserved for use within the time period; for the different charging piles included in each subset, the distances between the locations of the different charging piles and charging pile a are analyzed, and the charging pile closest to charging pile a is selected as the best choice for replacing the charging pile within the time period that can be reserved for use; after the user selects this solution, the user selects a charging pile within the time period that he or she is satisfied with according to his or her own schedule, and after the user's selection, the best choice for replacing the charging pile is analyzed for the user, and then the charging pile is locked for the user and the usage time is reserved; After the control system analyzes the matching scheme of the new charging pile, it will be fed back to the user through the applet associated with the charging pile control system, so as to provide the customer with a charging pile replacement scheme that can be selected. After the user selects the charging scheme, further analysis is performed to obtain the best choice of replacement charging pile in the scheme selected by the customer, and the charging pile is recorded as charging pile b; After the re-matching of the charging pile is completed, the control system will synchronize the car battery power, required charging amount and already charged billing information collected by charging pile a to charging pile b through the control system, and complete the charging power calculation according to the power curve of the power grid after the information is synchronized. At the same time, the location information of the charging pile is synchronized to the car owner, guiding the car owner to transfer the vehicle to the location of charging pile b for charging.

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