A power supply charging pile fault monitoring system and method based on big data

Abstract

The present invention relates to the technical field of power supply and charging piles, and specifically to a power supply and charging pile fault monitoring system and method based on big data, the monitoring method comprising the following steps: analyzing the charging power change of the charging pile, and obtaining the average fluctuation degree and the average power consumption of the charging pile according to the historical number of times the charging pile is used; analyzing the charging piles with historical abnormalities, and determining the charging abnormality risk threshold of the charging pile; obtaining the normal fluctuation range of the current charging power of the charging pile according to the charging power change presented in several historical charging records of the charging pile; analyzing and obtaining the use priority of the charging pile, and generating a recommended use order for the user to select the charging pile; when the user uses the charging pile to charge the vehicle, by real-time monitoring the operating status of the charging pile, determining whether to mark the charging pile as abnormal; scheduling the power transmission line of the adjacent charging piles, and determining whether to send an abnormal reminder to the vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply and charging piles, and in particular to a power supply and charging pile fault monitoring system and method based on big data. Background Art

[0002] Power charging piles refer to equipment used to charge electric vehicles such as electric vehicles and hybrid vehicles. These charging piles are usually connected to the power system to provide electricity to charge electric vehicles to meet the charging needs of electric vehicles; the advantages of power charging piles mainly include convenience, energy saving and environmental protection, economical and affordable, relatively low construction cost, small space occupation, and fast construction speed.

[0003] With the popularity of charging piles, more and more users use charging piles to charge their vehicles. However, in many cases, despite the large number of charging piles, users cannot easily and effectively charge their vehicles; when they find an idle charging pile, they find that the charging pile is faulty; after charging, the charging pile or the vehicle's battery fails, causing charging to be suspended, but users cannot understand the situation in time, affecting their travel. Summary of the invention

[0004] The purpose of the present invention is to provide a power supply charging pile fault monitoring system and method based on big data to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a power supply charging pile fault monitoring method based on big data, the monitoring method comprising the following steps:

[0006] Step S100: Obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, obtain the average fluctuation degree and average power consumption of the charging piles;

[0007] Step S200: Analyze the charging piles with historical abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles were abnormal, and calculate the charging risk value of each charging pile when the abnormalities occurred in the past, and determine the charging abnormality risk threshold of the charging piles;

[0008] Step S300: according to the change of charging power presented by the charging pile in several historical charging records, the normal fluctuation range of the current charging power of the charging pile is obtained; the proportion of charging time in the normal fluctuation range of charging power in several historical charging records is obtained, the use priority of the charging pile is calculated, and the recommended use order of the charging pile selected by the user is generated;

[0009] Step S400: When the user uses the charging pile to charge the vehicle, the operating status of the charging pile is monitored in real time to determine whether to mark the charging pile as abnormal; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operating status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle.

[0010] Furthermore, step S100 includes the following steps:

[0011] Step S101: number each charging pile, summarize the historical charging records of all charging piles, and set the i-th historical charging record as , get historical charging records The charging power of the charging pile at each time point generates historical charging records The charging power variation diagram with charging time;

[0012] Step S102: Read historical charging records from the charging power change graph The charging time is And the change process of charging power, the actual average charging power of the charging pile is obtained as follows: ; Get the total power output of the charging pile as , get the historical charging record The theoretical average charging power of the charging pile is ; According to the formula: , calculate the historical charging record The power fluctuation degree of the charging pile The power fluctuation degree of the charging pile can reflect the stability of the charging process. Analyzing the power fluctuation degree of the charging pile can help to judge the abnormality of the charging pile and evaluate the charging risk value of the charging pile itself.

[0013] Step S103: Obtain historical charging records The actual charge of the vehicle is ,in, Charging history records The charging power at time t in the charging power change diagram; according to the formula: , calculate the historical charging record The power consumption of the charging pile ; It is normal for charging piles to consume electricity, but excessive consumption is abnormal. By analyzing the power consumption of charging piles under normal circumstances, it is helpful to judge abnormal consumption later;

[0014] Step S104: sort all historical charging records according to the time when charging started; set the historical charging records The charging pile number is b, which is counted in the historical charging records Before, the historical usage times of the charging pile numbered b was , the single power fluctuation degree of the charging pile numbered b is And the single power consumption is ; For each numbered charging pile, the single power fluctuation degree and single power consumption are averaged and the average fluctuation degree of the charging pile is obtained. and average power consumption ; Calculating the power fluctuation and power consumption of the charging pile under normal conditions is helpful to distinguish the operating status of the charging pile and to conduct timely and accurate analysis of charging piles that may have abnormalities.

[0015] Further, step S200 includes the following steps:

[0016] Step S201: Obtain the charging power change of the previous historical charging record when any numbered charging pile has an abnormality in the historical charging record, and obtain the actual average charging power ; Get the total power output of the charging pile as and charging time , the power fluctuation degree of the previous historical charging record when the charging pile was abnormal was obtained as ; Get the actual charging capacity of the charging pile , the power consumption of the previous historical charging record when the charging pile was abnormal was obtained as ;

[0017] Step S202: Obtain the historical usage times of the abnormal charging pile , according to the formula:

[0018]

[0019] in, is the average fluctuation degree of charging piles, is the average power consumption of the charging pile; the charging risk value when the charging pile is abnormal is calculated to be ; Get the charging risk value when all charging piles are abnormal, and select the charging risk value with the smallest value , as the abnormal charging risk threshold of the charging pile;

[0020] The risk value of the charging pile is based on the charging time. If the charging time is too long, it can effectively indicate that the operation status of the charging pile is abnormal. Based on the normal fluctuation and normal power consumption of the charging pile in normal operation, the actual fluctuation and power consumption are compared. If there is a large difference, it means that the charging pile has abnormal fluctuation or abnormal consumption, and the corresponding risk value will be higher.

[0021] Step S203: Set the historical charging record of the charging pile numbered b to ,in, The historical usage count of the charging pile numbered b; Get the historical charging records The charging power changes with the charging time, and the total power output of the charging pile and charging time , calculate the current charging risk value of the charging pile numbered b ,like , then the charging pile numbered b will be marked as charging risk.

[0022] Further, step S300 includes the following steps:

[0023] Step S301: sort all the historical charging records of the charging pile numbered b in the order of charging time, obtain the following z historical charging records, and obtain the average charging power of the z historical charging records as , according to the formula: ,in, is the average fluctuation degree of the charging pile, and the normal fluctuation range of the charging power of the charging pile numbered b is calculated;

[0024] Step S302: Obtain the power fluctuation of the zth historical charging record of the charging pile numbered b, generate a charging power variation diagram of the charging pile as the charging time changes, and extract the charging time within the normal fluctuation range of the charging power from the charging power variation diagram. Among the z historical charging records obtained, the proportion of charging time within the normal fluctuation range of charging power is ; When allowing occasional abnormal fluctuations in charging piles, analyzing the proportion of time that the charging piles are within the normal fluctuation range can reflect the stability of the charging piles to a certain extent and provide reference data for subsequent usage priority calculations;

[0025] Step S303: Set the current charging risk value of the charging pile numbered b to , according to the formula:

[0026]

[0027] Among them, IF() is the judgment function, Sign is the charging risk mark, Determine whether the charging pile has a charging risk mark. If so, ,otherwise, ; Calculate the priority of the charging pile numbered b ; Sort each numbered charging pile from small to large according to the numerical value of the usage priority, and generate a recommended usage order for the user to select the charging pile.

[0028] Furthermore, step S400 includes the following steps:

[0029] Step S401: When the charging pile numbered b is in the charging state, the real-time charging power P and the real-time average charging power of the charging pile are obtained in real time. , if the real-time charging power is in a state of continuous decline, and ,in, is the average fluctuation degree of the charging pile, the charging pile is marked as abnormal; the charging pile is divided into two states, namely, charging state and idle state;

[0030] Step S402: obtaining a plurality of charging piles adjacent to the charging pile numbered b and in an idle state; when the charging pile numbered b has an abnormal mark, disconnecting the power transmission line of the charging pile numbered b; selecting a charging pile from the plurality of charging piles in an idle state as a spare charging pile according to the recommended order of use of the charging piles, connecting the vehicle to the spare charging pile, and continuing to charge the vehicle; when an abnormality occurs in one charging pile, timely dispatching another charging pile to continue charging the vehicle; and avoiding the vehicle charging being hindered due to the failure of the charging pile, thereby affecting the user's travel;

[0031] Step S403: Set the number of the standby charging pile to , monitor the charging power and average charging power of the backup charging pile in real time. If the backup charging pile is marked as abnormal, an abnormal reminder will be sent to the charging vehicle; if the backup charging pile still has charging abnormalities, it means that there may be an abnormality in the vehicle's battery, so it is necessary to remind the user in time to check the specific cause of the abnormality; the contact information can be obtained from the user, the user can be identified by the vehicle's license plate number, and a reminder can be sent to the user.

[0032] In order to better implement the above method, a power supply charging pile fault monitoring system based on big data is also proposed. The monitoring system includes a historical data analysis module, a charging pile risk assessment module, a charging pile usage recommendation module and an abnormal cause analysis module;

[0033] The historical data analysis module is used to obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained;

[0034] The charging pile risk assessment module is used to analyze the charging piles with historical abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles are abnormal, and calculate the charging risk value of each charging pile when the abnormalities occurred in history, and determine the charging abnormality risk threshold of the charging pile;

[0035] The charging pile usage recommendation module is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the changes in the charging power presented by the charging pile in several historical charging records; obtain the proportion of charging time in the normal fluctuation range of the charging power in several historical charging records, calculate the usage priority of the charging pile, and generate a recommended usage order for users to select the charging pile;

[0036] The abnormal cause analysis module is used to determine whether to mark the charging pile as abnormal by real-time monitoring the operating status of the charging pile when the user uses the charging pile to charge the vehicle; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operating status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle.

[0037] Further, the historical data analysis module includes a data reading unit and an impact degree analysis unit;

[0038] The data reading unit is used to obtain the historical charging records of all charging piles and read the charging information in the historical charging records; the impact degree analysis unit is used to analyze the changes in the charging power of the charging piles and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained.

[0039] Furthermore, the charging pile risk assessment module includes an abnormal data analysis unit and a risk threshold calculation unit;

[0040] The abnormal data analysis unit is used to analyze the charging piles that have experienced abnormalities in the past, and the changes in charging power before the abnormalities occurred, so as to obtain the degree of power fluctuation and power consumption when the charging piles have abnormalities. The risk threshold calculation unit is used to calculate the charging risk value when each charging pile has abnormalities in the past, and determine the charging abnormality risk threshold of the charging pile.

[0041] Further, the charging pile usage recommendation module includes a fluctuation range determination unit and a recommendation order determination unit;

[0042] The fluctuation range determination unit is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the changes in the charging power presented by the charging pile in several historical charging records; the recommended order determination unit is used to obtain the proportion of charging time within the normal fluctuation range of the charging power in several historical charging records, calculate the use priority of the charging pile, and generate a recommended use order for users to select the charging pile.

[0043] Furthermore, the charging pile usage recommendation module includes an abnormal marking judgment unit and an abnormal reminder judgment unit;

[0044] The abnormal marking judgment unit is used to determine whether to mark the charging pile as abnormal by monitoring the operating status of the charging pile in real time when the user uses the charging pile to charge the vehicle; the abnormal reminder judgment unit is used to dispatch the power transmission line of the adjacent charging pile after the charging pile is marked as abnormal, and monitor the operating status of the charging pile again to determine whether to send an abnormal reminder to the vehicle.

[0045] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: (1) The present invention analyzes the operating status of the charging piles by analyzing the charging power fluctuation degree and power consumption of the charging piles, determines and marks the charging piles with higher charging risks, and helps users quickly distinguish the operating status of the charging piles, so as to facilitate the selection of more stable charging piles for smooth charging, and avoid the situation where a charging pile is found but cannot be charged; (2) The present invention recommends the use of all charging piles in an idle state, so that users can choose the safest and most stable charging pile, greatly reduce the probability of abnormalities, and ensure smooth charging; (3) When an abnormality occurs during the charging process of the vehicle, the present invention can promptly call other lines to continue charging the vehicle, thereby ensuring the continuity of the vehicle charging and avoiding wasting too much time; at the same time, it determines the possibility of vehicle abnormality and promptly reminds the user, which is conducive to discovering and solving problems in the first time, thereby improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0047] Figure 1 It is a schematic diagram of the steps of a power supply charging pile fault monitoring method based on big data;

[0048] Figure 2 It is a structural schematic diagram of a power supply charging pile fault monitoring system based on big data. DETAILED DESCRIPTION

[0049] 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.

[0050] See also Figure 1 to Figure 2 The present invention provides a technical solution: a power supply charging pile fault monitoring method based on big data, the monitoring method comprises the following steps:

[0051] Step S100: Obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, obtain the average fluctuation degree and average power consumption of the charging piles;

[0052] Wherein, step S100 includes the following steps:

[0053] Step S101: number each charging pile, summarize the historical charging records of all charging piles, and set the i-th historical charging record as , get historical charging records The charging power of the charging pile at each time point generates historical charging records The charging power variation diagram with charging time;

[0054] Step S102: Read historical charging records from the charging power change graph The charging time is And the change process of charging power, the actual average charging power of the charging pile is obtained as follows: ; Get the total power output of the charging pile as , get the historical charging record The theoretical average charging power of the charging pile is ; According to the formula: , calculate the historical charging record The power fluctuation degree of the charging pile ;

[0055] Step S103: Obtain historical charging records The actual charge of the vehicle is ,in, Charging history records The charging power at time t in the charging power variation diagram; according to the formula: , calculate the historical charging record The power consumption of the charging pile ;

[0056] Step S104: sort all historical charging records according to the time when charging started; set the historical charging records The charging pile number is b, which is counted in the historical charging records Before, the historical usage times of the charging pile numbered b was , the single power fluctuation degree of the charging pile numbered b is And the single power consumption is ; For each numbered charging pile, the single power fluctuation degree and single power consumption are averaged and the average fluctuation degree of the charging pile is obtained. and average power consumption .

[0057] Step S200: Analyze the charging piles with historical abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles were abnormal, and calculate the charging risk value of each charging pile when the abnormalities occurred in the past, and determine the charging abnormality risk threshold of the charging piles;

[0058] Wherein, step S200 includes the following steps:

[0059] Step S201: Obtain the charging power change of the previous historical charging record when any numbered charging pile has an abnormality in the historical charging record, and obtain the actual average charging power ; Get the total power output of the charging pile as and charging time , the power fluctuation degree of the previous historical charging record when the charging pile was abnormal was obtained as ; Get the actual charging capacity of the charging pile , the power consumption of the previous historical charging record when the charging pile was abnormal was obtained as ;

[0060] Step S202: Obtain the historical usage times of the abnormal charging pile , according to the formula:

[0061]

[0062] in, is the average fluctuation degree of charging piles, is the average power consumption of the charging pile; the charging risk value when the charging pile is abnormal is calculated to be ; Get the charging risk value when all charging piles are abnormal, and select the charging risk value with the smallest value , as the abnormal charging risk threshold of the charging pile;

[0063] Step S203: Set the historical charging record of the charging pile numbered b to ,in, The historical usage count of the charging pile numbered b; Get the historical charging records The charging power changes with the charging time, and the total power output of the charging pile and charging time , calculate the current charging risk value of the charging pile numbered b ,like , then the charging pile numbered b will be marked as charging risk.

[0064] Step S300: according to the change of charging power presented by the charging pile in several historical charging records, the normal fluctuation range of the current charging power of the charging pile is obtained; the proportion of charging time in the normal fluctuation range of charging power in several historical charging records is obtained, the use priority of the charging pile is calculated, and the recommended use order of the charging pile selected by the user is generated;

[0065] Wherein, step S300 includes the following steps:

[0066] Step S301: sort all the historical charging records of the charging pile numbered b in the order of charging time, obtain the following z historical charging records, and obtain the average charging power of the z historical charging records as , according to the formula: ,in, is the average fluctuation degree of the charging pile, and the normal fluctuation range of the charging power of the charging pile numbered b is calculated;

[0067] Step S302: Obtain the power fluctuation of the zth historical charging record of the charging pile numbered b, generate a charging power variation diagram of the charging pile as the charging time changes, and extract the charging time within the normal fluctuation range of the charging power from the charging power variation diagram. Among the z historical charging records obtained, the proportion of charging time within the normal fluctuation range of charging power is ;

[0068] Step S303: Set the current charging risk value of the charging pile numbered b to , according to the formula:

[0069]

[0070] Among them, IF() is the judgment function, Sign is the charging risk mark, Determine whether the charging pile has a charging risk mark. If so, ,otherwise, ; Calculate the priority of the charging pile numbered b ; Sort each numbered charging pile from small to large according to the numerical value of the usage priority, and generate a recommended usage order for the user to select the charging pile.

[0071] Step S400: When the user uses the charging pile to charge the vehicle, the operation status of the charging pile is monitored in real time to determine whether to mark the charging pile as abnormal; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operation status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle;

[0072] Wherein, step S400 includes the following steps:

[0073] Step S401: When the charging pile numbered b is in the charging state, the real-time charging power P and the real-time average charging power of the charging pile are obtained in real time. , if the real-time charging power is in a state of continuous decline, and ,in, is the average fluctuation degree of the charging pile, the charging pile is marked as abnormal;

[0074] Step S402: obtaining a plurality of charging piles adjacent to the charging pile numbered b and in an idle state, and disconnecting the power transmission line of the charging pile numbered b when the charging pile numbered b has an abnormal mark; selecting a charging pile from the plurality of charging piles in an idle state as a spare charging pile according to the recommended order of use of the charging piles, connecting the vehicle to the spare charging pile, and continuing to charge the vehicle;

[0075] Step S403: Set the number of the standby charging pile to , monitor the charging power and average charging power of the backup charging pile in real time. If the backup charging pile is marked as abnormal, an abnormal reminder will be sent to the charging vehicle.

[0076] A power supply charging pile fault monitoring system based on big data, the monitoring system includes a historical data analysis module, a charging pile risk assessment module, a charging pile usage recommendation module and an abnormal cause analysis module;

[0077] The historical data analysis module is used to obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained;

[0078] The charging pile risk assessment module is used to analyze the charging piles with historical abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles are abnormal, and calculate the charging risk value of each charging pile when the abnormalities occurred in history, and determine the charging abnormality risk threshold of the charging pile;

[0079] The charging pile usage recommendation module is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the changes in the charging power presented by the charging pile in several historical charging records; obtain the proportion of charging time in the normal fluctuation range of the charging power in several historical charging records, calculate the usage priority of the charging pile, and generate a recommended usage order for users to select the charging pile;

[0080] The abnormal cause analysis module is used to determine whether to mark the charging pile as abnormal by real-time monitoring the operating status of the charging pile when the user uses the charging pile to charge the vehicle; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operating status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle.

[0081] Among them, the historical data analysis module includes a data reading unit and an impact degree analysis unit;

[0082] The data reading unit is used to obtain the historical charging records of all charging piles and read the charging information in the historical charging records; the impact degree analysis unit is used to analyze the changes in the charging power of the charging piles and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained.

[0083] Among them, the charging pile risk assessment module includes an abnormal data analysis unit and a risk threshold calculation unit;

[0084] The abnormal data analysis unit is used to analyze the charging piles that have experienced abnormalities in the past, and the changes in charging power before the abnormalities occurred, so as to obtain the degree of power fluctuation and power consumption when the charging piles have abnormalities. The risk threshold calculation unit is used to calculate the charging risk value when each charging pile has abnormalities in the past, and determine the charging abnormality risk threshold of the charging pile.

[0085] Among them, the charging pile usage recommendation module includes a fluctuation range determination unit and a recommendation order determination unit;

[0086] The fluctuation range determination unit is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the changes in the charging power presented by the charging pile in several historical charging records; the recommended order determination unit is used to obtain the proportion of charging time within the normal fluctuation range of the charging power in several historical charging records, calculate the use priority of the charging pile, and generate a recommended use order for users to select the charging pile.

[0087] Among them, the charging pile usage recommendation module includes an abnormal marking judgment unit and an abnormal reminder judgment unit;

[0088] The abnormal marking judgment unit is used to determine whether to mark the charging pile as abnormal by monitoring the operating status of the charging pile in real time when the user uses the charging pile to charge the vehicle; the abnormal reminder judgment unit is used to dispatch the power transmission line of the adjacent charging pile after the charging pile is marked as abnormal, and monitor the operating status of the charging pile again to determine whether to send an abnormal reminder to the vehicle.

[0089] Obtain the historical charging records of two charging piles, and number the charging piles as No. 1 and No. 2 respectively. No. 1 has a total of 3 historical charging records, and No. 2 has a total of 2 historical charging records;

[0090] Taking the first historical charging record of No. 1 as an example, a charging power variation graph is generated with charging time, and the charging time is obtained to be 5h. The actual average charging power of the charging pile is obtained from the charging power variation graph to be 10kW; the total power output of the charging pile is obtained to be 52kWh, and the theoretical average charging power is obtained to be 10.4kW. According to the formula: , the power fluctuation degree is calculated to be 0.08kW / h; according to the charging power change diagram, the actual charging amount is 50kWh, and the power consumption of the charging pile is 0.038kWh; because there are 3 historical charging records for No. 1, the single power fluctuation degree of No. 1 charging pile is 0.027kW / h, and the single power consumption is 0.0127kWh; the average value of all historical charging records is calculated to obtain the average fluctuation degree of the charging pile and average power consumption .

[0091] If the charging pile in the third historical charging record of No. 1 is abnormal, then the relevant data of the second historical charging record is obtained, and the power fluctuation degree of the previous historical charging record when the charging pile is abnormal is 0.1kW / h and the power consumption degree is 0.05kWh. The charging time of the second historical charging record is set to 5h. According to the formula: =5×((1+0.1-0.05)+(1+0.05-0.025))=5×2.075=10.375, the calculated charging risk value when the charging pile is abnormal is 10.375; obtain the charging risk values ​​when all charging piles are abnormal, and select the charging risk value with the smallest value =10; then the charging risk value of 10 is used as the abnormal charging risk threshold of the charging pile; the charging risk value of charging pile No. 2 is calculated, and the calculated charging risk value is 9, so there is no need to mark the charging risk of charging pile No. 2.

[0092] Obtain the power fluctuation of the two historical charging records of charging pile No. 2, obtain the normal fluctuation range of charging power, and extract the proportion of time that the charging power is within the normal fluctuation range as 90%. Therefore, according to the formula: =9 / 1.9=4.737, and the priority of charging pile No. 2 is obtained; similarly, the priority of charging pile No. 1 is 10, and the priority values ​​are sorted from small to large. Therefore, it is recommended that users use charging pile No. 2 for charging.

[0093] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0094] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A power supply charging pile fault monitoring method based on big data, characterized in that: The monitoring method comprises the following steps: Step S100: Obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, obtain the average fluctuation degree and average power consumption of the charging piles; Step S200: Analyze the charging piles with historical abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles were abnormal, and calculate the charging risk value of each charging pile when the abnormalities occurred in the past, and determine the charging abnormality risk threshold of the charging piles; Step S300: according to the change of charging power presented by the charging pile in several historical charging records, the normal fluctuation range of the current charging power of the charging pile is obtained; the proportion of charging time in the normal fluctuation range of charging power in several historical charging records is obtained, the use priority of the charging pile is calculated, and the recommended use order of the charging pile selected by the user is generated; Step S400: When the user uses the charging pile to charge the vehicle, the operation status of the charging pile is monitored in real time to determine whether to mark the charging pile as abnormal; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operation status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle; The step S200 includes the following steps: Step S201: Obtain the charging power change of the previous historical charging record when any numbered charging pile has an abnormality in the historical charging record, and obtain the actual average charging power Get the total power output of the charging pile as Q yc And charging time T yc , the power fluctuation degree of the previous historical charging record when the charging pile was abnormal is α yc ; Get the actual charging capacity of the charging pile The power consumption of the previous historical charging record when the charging pile was abnormal is obtained as β yc ; Step S202: Obtain the historical usage times N of the abnormal charging pile yc , according to the formula: in, is the average fluctuation degree of charging piles, is the average power consumption of the charging pile; the charging risk value when the charging pile is abnormal is calculated as F yc ; Get the charging risk value when all charging piles are abnormal, and select the charging risk value F with the smallest value min , as the abnormal charging risk threshold of the charging pile; Step S203: Set the historical charging record of the charging pile numbered b to Among them, N b The historical usage count of the charging pile numbered b; Get the historical charging records The charging power changes with the charging time, and the total power output of the charging pile and charging time Calculate the current charging risk value F of the charging pile numbered b b , if F b ≥F min , then the charging pile numbered b is marked as charging risk; The step S300 includes the following steps: Step S301: sort all the historical charging records of the charging pile numbered b in the order of charging time, obtain the following z historical charging records, and obtain the average charging power of the z historical charging records as According to the formula: in, is the average fluctuation degree of the charging pile, and the normal fluctuation range of the charging power of the charging pile numbered b is calculated; Step S302: Obtain the power fluctuation of the zth historical charging record of the charging pile numbered b, generate a charging power variation diagram of the charging pile as the charging time changes, and extract the charging time T when the charging power is within the normal fluctuation range of the charging power from the charging power variation diagram. zc Among the z historical charging records obtained, the proportion of charging time within the normal fluctuation range of charging power is Step S303: Set the current charging risk value of the charging pile numbered b to F b , according to the formula: Among them, IF() is a judgment function, Sign is a charging risk mark, IF(Sign) determines whether the charging pile has a charging risk mark, if there is a charging risk mark, IF(Sign) = 1, otherwise, IF(Sign) = 0; the use priority Y of the charging pile numbered b is calculated b ; Sort each numbered charging pile from small to large according to the numerical value of the usage priority, and generate a recommended usage order for the user to select the charging pile.

2. According to a method for monitoring power supply and charging pile faults based on big data according to claim 1, it is characterized in that: The step S100 includes the following steps: Step S101: number each charging pile, summarize the historical charging records of all charging piles, and set the i-th historical charging record as R i , get the historical charging record R i In the example, the charging power of the charging pile at each time point is used to generate the historical charging record R i The charging power variation diagram with charging time; Step S102: Read the historical charging record R from the charging power change diagram i The charging time is T i And the change process of charging power, the actual average charging power of the charging pile is obtained as follows: Get the total power output of the charging pile as Q i , get the historical charging record R i The theoretical average charging power of the charging pile is According to the formula: Calculate the historical charging record R i The power fluctuation degree of the charging pile α i ; Step S103: Obtain historical charging records R i The actual charge of the vehicle is Among them, P t Charging Records for History i The charging power at time t in the charging power variation diagram; according to the formula: Calculate the historical charging record R i The power consumption of the charging pile β i ; Step S104: sort all historical charging records according to the time when charging started; set the historical charging record R i The charging pile number is b, and it is counted in the historical charging record R i Before, the number of times the charging pile numbered b was used was N b , the single power fluctuation degree of the charging pile numbered b is And the single power consumption is The average power fluctuation degree and power consumption of each numbered charging pile are calculated to obtain the average fluctuation degree of the charging pile. and average power consumption 3. According to a method for monitoring power supply and charging pile faults based on big data according to claim 2, it is characterized in that: The step S400 includes the following steps: Step S401: When the charging pile numbered b is in the charging state, the real-time charging power P and the real-time average charging power of the charging pile are obtained in real time. If the real-time charging power is in a state of continuous decline, and in, is the average fluctuation degree of the charging pile, the charging pile is marked as abnormal; Step S402: obtaining a plurality of charging piles adjacent to the charging pile numbered b and in an idle state, and disconnecting the power transmission line of the charging pile numbered b when the charging pile numbered b has an abnormal mark; selecting a charging pile from the plurality of charging piles in an idle state as a spare charging pile according to the recommended order of use of the charging piles, connecting the vehicle to the spare charging pile, and continuing to charge the vehicle; Step S403: Set the number of the standby charging pile to b', monitor the charging power and average charging power of the standby charging pile in real time, and if the standby charging pile is marked as abnormal, send an abnormal reminder to the charging vehicle.

4. A power supply charging pile fault monitoring system applied to a power supply charging pile fault monitoring method based on big data as claimed in any one of claims 1 to 3, characterized in that: The monitoring system includes a historical data analysis module, a charging pile risk assessment module, a charging pile usage recommendation module and an abnormality cause analysis module; The historical data analysis module is used to obtain the historical charging records of all charging piles, read the charging information in the historical charging records, analyze the charging power changes of the charging piles, and calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained; The charging pile risk assessment module is used to analyze the charging piles that have historically experienced abnormalities, the charging power changes before the abnormalities occurred, obtain the power fluctuation degree and power consumption degree when the charging piles experienced abnormalities, and calculate the charging risk value of each charging pile when the abnormalities occurred in history, and determine the charging abnormality risk threshold of the charging piles; The charging pile usage recommendation module is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the change of the charging power presented by the charging pile in several historical charging records; obtain the proportion of charging time in the normal fluctuation range of the charging power in several historical charging records, calculate the usage priority of the charging pile, and generate a recommended usage order for the user to select the charging pile; The abnormal cause analysis module is used to determine whether to mark the charging pile as abnormal by monitoring the operating status of the charging pile in real time when the user uses the charging pile to charge the vehicle; if the charging pile is marked as abnormal, the power transmission line of the adjacent charging pile is dispatched, and the operating status of the charging pile is monitored again to determine whether to send an abnormal reminder to the vehicle.

5. The power supply charging pile fault monitoring system according to claim 4, characterized in that: The historical data analysis module includes a data reading unit and an impact degree analysis unit; The data reading unit is used to obtain the historical charging records of all charging piles and read the charging information in the historical charging records; the impact degree analysis unit is used to analyze the changes in the charging power of the charging piles, calculate the power fluctuation degree and power consumption degree of the charging piles; according to the historical usage times of the charging piles, the average fluctuation degree and average power consumption of the charging piles are obtained.

6. The power supply charging pile fault monitoring system according to claim 4, characterized in that: The charging pile risk assessment module includes an abnormal data analysis unit and a risk threshold calculation unit; The abnormal data analysis unit is used to analyze the charging piles with historical abnormalities and the charging power changes before the abnormalities occurred, and obtain the power fluctuation degree and power consumption degree when the charging piles are abnormal; The risk threshold calculation unit is used to calculate the charging risk value when each charging pile has an abnormality in history, and determine the charging abnormality risk threshold of the charging pile.

7. The power supply charging pile fault monitoring system according to claim 4, characterized in that: The charging pile usage recommendation module includes a fluctuation range determination unit and a recommendation order determination unit; The fluctuation range determination unit is used to obtain the normal fluctuation range of the current charging power of the charging pile according to the changes in the charging power presented by the charging pile in several historical charging records; the recommended order determination unit is used to obtain the proportion of charging time in the normal fluctuation range of the charging power in several historical charging records, calculate the use priority of the charging pile, and generate a recommended use order for users to select the charging pile.

8. The power supply charging pile fault monitoring system according to claim 4, characterized in that: The charging pile usage recommendation module includes an abnormal marking judgment unit and an abnormal reminder judgment unit; The abnormal marking judgment unit is used to determine whether to mark the charging pile as abnormal by monitoring the operating status of the charging pile in real time when the user uses the charging pile to charge the vehicle; the abnormal reminder judgment unit is used to schedule the power transmission line of the adjacent charging pile after the charging pile is marked as abnormal, and monitor the operating status of the charging pile again to determine whether to send an abnormal reminder to the vehicle.

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