A health status prediction and analysis method and system based on charging piles

Abstract

The present invention discloses a health status prediction and analysis method and system based on a charging pile, which relates to the technical field of charging pile management, including extracting data from a database system based on a central processing unit to obtain historical operation data of the charging pile; and obtaining complete historical operation data of the charging pile. The present invention determines whether the state of the charging pile is a healthy state by judging the temperature deviation of the charging pile, the charging deviation of the charging pile, and the factory parameter information of the charging pile. In addition, the state of the healthy charging pile is predicted to determine within what time the state of the healthy charging pile will become sub-healthy, and the state of the charging pile is monitored to avoid damage to the internal electronic components of the charging pile due to excessive temperature increase, thereby increasing the service life of the charging pile. Moreover, the charging rate of the charging pile is monitored to avoid the charging time of the charging pile being too long, resulting in abnormal energy loss, and reducing the charging cost.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile management, and in particular to a method and system for predicting and analyzing the health status of a charging pile. Background Art

[0002] A charging pile refers to a charging device that provides charging services for electric vehicles.

[0003] Charging piles are mainly divided into floor-standing charging piles and wall-mounted charging piles, which mainly adopt the charging methods of time, electricity meter and amount meter. Charging piles can be fixed on the ground or wall, installed in public buildings (public buildings, shopping malls, public parking lots, etc.) and residential parking lots or charging stations, and can charge various types of electric vehicles according to different voltage levels. The input end of the charging pile is directly connected to the AC power grid, and the output end is equipped with a charging plug for charging electric vehicles. Most charging piles are public charging piles, which generally provide two charging methods: conventional charging and fast charging. People can use a specific charging card to swipe the card on the human-computer interaction interface provided by the charging pile to perform corresponding charging methods, charging time, and cost data printing. The charging pile display can display data such as charging amount, cost, and charging time.

[0004] After the charging pile has been in use for too long, the temperature of the charging pile will rise too quickly or the charging rate will slow down when charging the charging equipment. In order to avoid the charging temperature of the charging pile being too high and damaging the internal electronic components, and at the same time, in order to reduce energy loss, the health status of the charging pile is predicted. Summary of the invention

[0005] In order to solve the above technical problems, a method and system for predicting and analyzing the health status of a charging pile are provided. This technical solution solves the problem proposed in the above background technology that after the charging pile has been in use for too long, the temperature of the charging pile will rise too quickly or the charging rate will slow down when charging the charging device, causing the internal electronic components of the charging pile to be damaged due to excessive temperature.

[0006] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0007] A health status prediction and analysis method based on a charging pile, comprising:

[0008] Based on the central processor, the database system is subjected to data extraction processing to obtain the historical operation data of the charging pile, wherein the historical operation data of the charging pile is obtained based on the historical order information, and the historical order information is stored in the order platform;

[0009] Based on the central processor, the historical operation data of the charging pile is preprocessed to obtain the complete historical operation data of the charging pile;

[0010] Based on the central processor, the complete historical operation data of the charging pile is analyzed and processed to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile;

[0011] Based on the central processor, prediction processing is performed according to the temperature deviation of the charging pile and the charging deviation of the charging pile to determine the health status of the charging pile.

[0012] Preferably, the data preprocessing of the historical operation data of the charging pile based on the central processor to obtain the complete historical operation data of the charging pile specifically includes the following steps:

[0013] Based on the central processor, the historical operation data of the charging pile is traversed and processed to determine the location of blank data;

[0014] Based on the central processor and database system, the historical operation data of the charging pile is analyzed and processed to determine the location of abnormal data;

[0015] Based on the central processing unit, data modification processing is performed on the blank data positions and abnormal data positions respectively to obtain the complete historical operation data of the charging pile.

[0016] Preferably, the method of analyzing and processing the historical operation data of the charging pile based on the central processing unit and the database system to determine the location of the abnormal data specifically includes the following steps:

[0017] Based on the central processor, the database system is processed for data extraction to obtain the factory parameter information of the charging pile;

[0018] Based on the central processor, the factory parameter information of the charging pile is analyzed and processed to determine the charging reference standard of the charging pile;

[0019] The central processing unit analyzes and processes the historical operation data of the charging pile according to the charging reference standard of the charging pile to determine the location of abnormal data.

[0020] Preferably, the central processor is used to perform data modification processing on blank data positions and abnormal data positions respectively, and obtaining complete historical operation data of the charging pile specifically includes the following steps:

[0021] Based on the central processing unit, data reading and processing are performed on the order information corresponding to the blank data position to obtain the first order number;

[0022] Based on the central processing unit, data reading and processing are performed on the order information corresponding to the abnormal data position to obtain a second order number;

[0023] The central processing unit performs data retrieval processing on the order platform according to the first order number and the second order number respectively, and obtains the first order information and the second order information;

[0024] The central processing unit performs data search on the first order information and the second order information respectively according to the blank data position and the abnormal data position to determine the first filling data and the second filling data;

[0025] The central processing unit performs data modification processing on the blank data position and the abnormal data position according to the first filling data and the second filling data to obtain the complete historical operation data of the charging pile.

[0026] Preferably, the method of analyzing and processing the complete historical operation data of the charging pile based on the central processor to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile specifically includes the following steps:

[0027] Based on the central processor, the complete historical operation data of the charging pile is classified and processed to obtain the historical order information of the charging pile;

[0028] The central processing unit sorts the historical order information of the charging piles according to the continuity of time, and obtains the continuous historical order information of the charging piles;

[0029] The central processor analyzes and processes the continuous historical order information of the charging pile to obtain the shortest charging time;

[0030] The central processing unit analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile;

[0031] The specific calculation formula for obtaining the shortest charging time is:

[0032]

[0033] Where, T s F is the shortest charging time; i is the charging time in the continuous historical order information of the charging pile; n is the number of charging times in the continuous historical order information of the charging pile; min() is the minimum function.

[0034] Preferably, the central processor analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile, specifically including the following steps:

[0035] The central processing unit intercepts and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile. The interception process specifically selects the shortest charging time in the continuous historical order information, and intercepts the charging time of other continuous historical order information in the continuous historical order information with the shortest charging time;

[0036] The central processor performs difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile with reference to adjacent time, and obtains the temperature difference value of multiple groups of charging piles and the charging power difference value of multiple groups of charging piles;

[0037] The central processing unit calculates the difference between the temperature of the multiple groups of charging piles and the difference between the charging power of the multiple groups of charging piles with adjacent time as a reference, and obtains the temperature deviation of the charging piles and the charging deviation of the charging piles.

[0038] Preferably, the method of performing prediction processing based on the central processor according to the temperature deviation of the charging pile and the charging deviation of the charging pile to determine the health status of the charging pile specifically includes the following steps:

[0039] Based on the central processor, the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold are judged and processed respectively;

[0040] If the temperature deviation of the charging pile is less than the set temperature threshold, and the charging deviation of the charging pile is less than the set charging threshold, the status of the charging pile is healthy;

[0041] If the temperature deviation of the charging pile is less than the set temperature threshold and the charging deviation of the charging pile is greater than or equal to the set charging threshold, or the temperature deviation of the charging pile is greater than or equal to the set temperature threshold and the charging deviation of the charging pile is less than the set charging threshold, the status of the charging pile is sub-healthy, and the staff monitors the charging pile in real time;

[0042] If the temperature deviation of the charging pile is greater than or equal to the set temperature threshold, and the charging deviation of the charging pile is greater than or equal to the set charging threshold, the status of the charging pile is unhealthy, and the staff will perform maintenance on the charging pile;

[0043] If the state of the charging pile is a healthy state, the central processing unit predicts the operating state of the charging pile and determines a critical time, which is either a temperature critical time or a charging critical time.

[0044] Preferably, if the state of the charging pile is a healthy state, the central processor predicts the operating state of the charging pile, and determining the critical time specifically includes the following steps:

[0045] If the status of the charging pile is healthy;

[0046] Based on the central processor, the order platform is read and processed to obtain real-time order information;

[0047] Based on the central processor, the real-time order information is analyzed and processed to obtain the real-time average temperature change of the charging pile and the real-time average charging capacity of the charging pile;

[0048] Based on the central processing unit, the real-time average temperature change of the charging pile and the real-time average charging amount of the charging pile are predicted and processed to determine the critical time.

[0049] Preferably, the method of predicting the real-time average temperature change of the charging pile and the real-time average charge amount of the charging pile based on the central processor to determine the critical time specifically includes the following steps:

[0050] Based on the central processor, the factory parameter information of the charging pile is retrieved and processed to determine the average change of the initial temperature of the charging pile and the initial average charge of the charging pile;

[0051] Based on the central processor, the order platform is used for data retrieval and processing to obtain the time when the charging pile is put into use;

[0052] Based on the central processor, the average real-time temperature change of the charging pile, the average initial temperature change of the charging pile, the real-time average charge of the charging pile, and the initial average charge of the charging pile are calculated to obtain the temperature change difference of the charging pile and the charge change difference of the charging pile;

[0053] The central processing unit calculates and processes the temperature change difference of the charging pile, the time when the charging pile is put into use, the charging change difference of the charging pile, and the time when the charging pile is put into use, and obtains the temperature change rate of the charging pile and the charging change rate of the charging pile;

[0054] Based on the central processing unit, the temperature change rate of the charging pile, the set temperature threshold, the charging change rate of the charging pile, and the set charging threshold are calculated and processed respectively to obtain the temperature critical time and the charging critical time.

[0055] Furthermore, a health status prediction and analysis system based on a charging pile is proposed, which is used to implement the health status prediction and analysis method based on a charging pile as described above, including:

[0056] A central processing unit, which is used to realize data transmission and information exchange between modules;

[0057] A database system, the database system is used to store historical operation data of the charging pile and factory parameter information of the charging pile;

[0058] An order platform, which is used to store historical order information of charging piles;

[0059] A data processing module, wherein the data processing module is used to perform data preprocessing on the historical operation data of the charging pile to obtain the complete historical operation data of the charging pile;

[0060] A data calculation module, wherein the data calculation module performs a difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile, and the data calculation module performs a calculation processing on the real-time average temperature change of the charging pile, the initial average temperature change of the charging pile, the real-time average charging power of the charging pile, and the initial average charging power of the charging pile to obtain the temperature critical time and the charging critical time;

[0061] A judgment module, wherein the judgment module judges and processes the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold, respectively, to determine the state of the charging pile;

[0062] A communication module, which is used to realize data transmission between the central processor and the database system and the order platform;

[0063] The data processing module integrates a data search unit, a data reading unit, a data analysis unit, and a data filling unit.

[0064] Compared with the prior art, the present invention provides a method and system for predicting and analyzing the health status of charging piles, which has the following beneficial effects:

[0065] The present invention determines the temperature deviation of the charging pile and the charging deviation of the charging pile by comprehensively analyzing the historical operation data of the charging pile and the historical order information of the order platform. Then, the temperature deviation of the charging pile, the charging deviation of the charging pile and the factory parameter information of the charging pile are judged to determine whether the state of the charging pile is a healthy state. In addition, the state of the charging pile in a healthy state is predicted to determine the time within which the state of the charging pile in a healthy state will become sub-healthy. The state of the charging pile is monitored to avoid damage to the internal electronic components of the charging pile due to excessively rapid temperature increase, thereby increasing the service life of the charging pile. Moreover, the charging rate of the charging pile is monitored to avoid excessively long charging time of the charging pile, which causes abnormal energy loss and reduces the charging cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is a flow chart of steps S100-S400 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0067] Figure 2 This is a flow chart of steps S201-S203 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0068] Figure 3 This is a flow chart of steps S2021-S2023 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0069] Figure 4 This is a flow chart of steps S2031-S2035 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0070] Figure 5 This is a flow chart of steps S301-S304 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0071] Figure 6 This is a flow chart of steps S3041-S3043 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0072] Figure 7 This is a flow chart of steps S401-S405 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0073] Figure 8 This is a flow chart of steps S4051-S4054 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0074] Fig. 9 This is a flow chart of steps S40541-S40545 in a method for predicting and analyzing the health status of a charging pile proposed by the present invention;

[0075] Fig.10 This is a structural block diagram of a health status prediction and analysis system based on charging piles proposed by the present invention. DETAILED DESCRIPTION

[0076] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0077] Reference Figure 1 As shown, a health status prediction and analysis method based on a charging pile includes:

[0078] S100, based on the central processor, performing data extraction processing on the database system to obtain historical operation data of the charging pile, wherein the historical operation data of the charging pile is obtained based on historical order information, and the historical order information is stored in the order platform;

[0079] S200, preprocessing the historical operation data of the charging pile based on the central processor to obtain the complete historical operation data of the charging pile;

[0080] S300, based on the central processor, analyzing and processing the complete historical operation data of the charging pile, and obtaining the temperature deviation of the charging pile and the charging deviation of the charging pile;

[0081] S400, based on the central processor, predicting and processing according to the temperature deviation of the charging pile and the charging deviation of the charging pile to determine the health status of the charging pile;

[0082] It will be understood by those skilled in the art that when a charging pile is put into use for too long, the temperature of the charging pile will rise too quickly or the charging speed of the charging pile will be too slow. When the internal temperature of the charging pile is too high, the internal electronic components of the charging pile will be damaged. When the charging speed of the charging pile is too slow, the energy consumed by a healthy charging pile is less than that of a charging pile with too slow a charging speed. Therefore, in order to increase the service life of the charging pile and reduce abnormal energy loss, the health status of the charging pile is analyzed and predicted.

[0083] Reference Figure 2 As shown, based on the central processor, the historical operation data of the charging pile is preprocessed, and the complete historical operation data of the charging pile is obtained, which specifically includes the following steps:

[0084] S201, based on the central processing unit, traverse and process the historical operation data of the charging pile to determine the location of blank data;

[0085] S202, analyzing and processing the historical operation data of the charging pile based on the central processor and the database system to determine the location of abnormal data;

[0086] S203: Based on the central processing unit, data modification processing is performed on the blank data position and the abnormal data position respectively to obtain the complete historical operation data of the charging pile.

[0087] Reference Figure 3 As shown, based on the central processor and the database system, the historical operation data of the charging pile is analyzed and processed, and the location of the abnormal data is determined, which specifically includes the following steps:

[0088] S2021. Based on the central processing unit, extract data from the database system to obtain factory parameter information of the charging pile;

[0089] S2022. Analyze and process the factory parameter information of the charging pile based on the central processor to determine the charging reference standard of the charging pile;

[0090] S2023. The central processing unit analyzes and processes the historical operation data of the charging pile according to the charging reference standard of the charging pile to determine the location of abnormal data.

[0091] Reference Figure 4 As shown, based on the central processor, data modification processing is performed on the blank data position and the abnormal data position respectively, and the complete historical operation data of the charging pile is obtained, which specifically includes the following steps:

[0092] S2031. Based on the central processing unit, data reading and processing are performed on the order information corresponding to the blank data position to obtain a first order number;

[0093] S2032. Based on the central processing unit, data reading and processing are performed on the order information corresponding to the abnormal data position to obtain a second order number;

[0094] S2033, the central processing unit performs data retrieval processing on the order platform according to the first order number and the second order number respectively, and obtains the first order information and the second order information;

[0095] S2034, the central processing unit performs data search on the first order information and the second order information according to the blank data position and the abnormal data position, and determines the first filling data and the second filling data;

[0096] S2035, the central processing unit performs data modification processing on the blank data position and the abnormal data position according to the first filling data and the second filling data, and obtains the complete historical operation data of the charging pile;

[0097] In this embodiment, the historical operation data of the charging pile stored in the database system may contain abnormal values ​​or missing values. In order to make the subsequent prediction of the health status of the charging pile more accurate, the missing values ​​and abnormal values ​​in the historical operation data of the charging pile are filled and modified to make the historical operation data of the charging pile more complete. It is worth noting that the historical operation data of the charging pile is obtained based on the order information. Therefore, when the historical operation data of the charging pile in the database is incomplete, the historical operation data of the charging pile is supplemented by the historical order information of the order platform to ensure that the subsequent analysis of the health status of the charging pile is more accurate.

[0098] Reference Figure 5 As shown, based on the central processor, the complete historical operation data of the charging pile is analyzed and processed to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile, which specifically includes the following steps:

[0099] S301, based on the central processor, classify and process the complete historical operation data of the charging pile to obtain the historical order information of the charging pile;

[0100] S302, the central processing unit sorts the historical order information of the charging piles according to the continuity of time, and obtains the continuous historical order information of the charging piles;

[0101] S303, the central processing unit analyzes and processes the continuous historical order information of the charging pile to obtain the shortest charging time;

[0102] S304, the central processor analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile;

[0103] The specific calculation formula for obtaining the shortest charging time is:

[0104]

[0105] Where, T s F is the shortest charging time; i is the charging time in the continuous historical order information of the charging pile; n is the number of charging times in the continuous historical order information of the charging pile; min() is the minimum value function;

[0106] In this embodiment, the historical order information with a time interval that is too large between two items is calculated and analyzed, and only the temperature deviation of the charging pile and the charging deviation of the charging pile in a larger range can be obtained. In order to accurately reflect the temperature change process of the charging pile and the charging change process of the charging pile, the historical order information of adjacent times is calculated and analyzed. In addition, the charging time of each historical order information may be different. Therefore, the shortest charging time in the historical order information is selected, and the charging time of other historical order information is intercepted with the shortest charging time to make them have a unified charging time. Within the unified charging time, the temperature change of the charging pile and the charging change of the charging pile are analyzed to determine the temperature deviation of the charging pile and the charging deviation of the charging pile.

[0107] Reference Figure 6 As shown, the central processor analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile, which specifically includes the following steps:

[0108] S3041, the central processing unit intercepts and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile, wherein the interception process specifically selects the shortest charging time in the continuous historical order information, and intercepts the charging time of other continuous historical order information in the continuous historical order information with the shortest charging time;

[0109] S3042, the central processor performs difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile with reference to the adjacent time, and obtains the temperature difference value of the multiple groups of charging piles and the charging power difference value of the multiple groups of charging piles;

[0110] S3043. The central processing unit calculates the difference between the temperature values ​​of the multiple groups of charging piles and the difference between the charging power values ​​of the multiple groups of charging piles with adjacent time as a reference, and obtains the temperature deviation of the charging piles and the charging deviation of the charging piles.

[0111] Reference Figure 7 As shown, based on the central processor, prediction processing is performed according to the temperature deviation of the charging pile and the charging deviation of the charging pile, and determining the health status of the charging pile specifically includes the following steps:

[0112] S401, based on the central processor, respectively judging and processing the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold;

[0113] S402: If the temperature deviation of the charging pile is less than the set temperature threshold, and the charging deviation of the charging pile is less than the set charging threshold, the state of the charging pile is healthy;

[0114] S403: If the temperature deviation of the charging pile is less than the set temperature threshold and the charging deviation of the charging pile is greater than or equal to the set charging threshold, or the temperature deviation of the charging pile is greater than or equal to the set temperature threshold and the charging deviation of the charging pile is less than the set charging threshold, the state of the charging pile is sub-healthy, and the staff monitors the charging pile in real time;

[0115] S404: If the temperature deviation of the charging pile is greater than or equal to the set temperature threshold, and the charging deviation of the charging pile is greater than or equal to the set charging threshold, the state of the charging pile is unhealthy, and the staff performs maintenance on the charging pile;

[0116] S405: If the state of the charging pile is a healthy state, the central processing unit predicts the operating state of the charging pile and determines a critical time, where the critical time is either a temperature critical time or a charging critical time.

[0117] Reference Figure 8As shown, if the state of the charging pile is healthy, the central processor predicts the operating state of the charging pile, and determining the critical time specifically includes the following steps:

[0118] S4051: If the charging pile is in a healthy state;

[0119] S4052. Based on the central processor, read and process the data of the order platform to obtain real-time order information;

[0120] S4053. Analyze and process the real-time order information based on the central processor to obtain the real-time average temperature change of the charging pile and the real-time average charging capacity of the charging pile;

[0121] S4054: Based on the central processing unit, predict and process the real-time average temperature change of the charging pile and the real-time average charging amount of the charging pile to determine the critical time.

[0122] Reference Fig. 9 As shown, based on the central processor, the real-time average temperature change of the charging pile and the real-time average charging amount of the charging pile are predicted and processed, and the critical time is determined, which specifically includes the following steps:

[0123] S40541. Based on the central processor, perform data retrieval processing on the factory parameter information of the charging pile to determine the average change in the initial temperature of the charging pile and the initial average charge amount of the charging pile;

[0124] S40542. Based on the central processor, data retrieval processing is performed on the order platform to obtain the time when the charging pile is put into use;

[0125] S40543. Based on the central processor, respectively, the average change in the real-time temperature of the charging pile, the average change in the initial temperature of the charging pile, the real-time average charge of the charging pile, and the initial average charge of the charging pile are calculated to obtain the temperature change difference of the charging pile and the charge change difference of the charging pile;

[0126] S40544. The central processing unit calculates and processes the temperature change difference of the charging pile, the time when the charging pile is put into use, the charging change difference of the charging pile, and the time when the charging pile is put into use, respectively, to obtain the temperature change rate of the charging pile and the charging change rate of the charging pile;

[0127] S40545. Based on the central processor, respectively calculate and process the temperature change rate of the charging pile, the set temperature threshold, the charging change rate of the charging pile, and the set charging threshold, to obtain the temperature critical time and the charging critical time;

[0128] In this embodiment, when the status of the charging pile is healthy, it is necessary to analyze the usage time of the charging pile to determine the time when the charging pile changes from a healthy state to a sub-healthy state, so that the staff can maintain the charging pile in time, avoiding damage to the electronic components inside the charging pile due to excessive internal temperature, and improving the service life of the charging pile. Because, as the usage time of the charging pile increases, the interior of the charging pile will also show a certain degree of aging, which will cause the internal temperature to rise. This is an irreversible process. However, in order to increase its service life and reduce energy damage, it is necessary to predict the charging pile in a healthy state, obtain the temperature critical time and the charging critical time, and maintain the charging pile according to the temperature critical time and the charging critical time.

[0129] Reference Fig.10 As shown, a health status prediction and analysis system based on a charging pile is used to implement the health status prediction and analysis method based on a charging pile as described above, including:

[0130] A central processing unit, which is used to realize data transmission and information exchange between modules;

[0131] A database system, the database system is used to store historical operation data of the charging pile and factory parameter information of the charging pile;

[0132] An order platform, which is used to store historical order information of charging piles;

[0133] A data processing module, wherein the data processing module is used to perform data preprocessing on the historical operation data of the charging pile to obtain the complete historical operation data of the charging pile;

[0134] A data calculation module, wherein the data calculation module performs a difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile, and the data calculation module performs a calculation processing on the real-time average temperature change of the charging pile, the initial average temperature change of the charging pile, the real-time average charging power of the charging pile, and the initial average charging power of the charging pile to obtain the temperature critical time and the charging critical time;

[0135] A judgment module, wherein the judgment module judges and processes the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold, respectively, to determine the state of the charging pile;

[0136] A communication module, which is used to realize data transmission between the central processor and the database system and the order platform;

[0137] The data processing module integrates a data search unit, a data reading unit, a data analysis unit, and a data filling unit.

[0138] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A health status prediction and analysis method based on a charging pile, characterized in that: include: Based on the central processor, the database system is subjected to data extraction processing to obtain the historical operation data of the charging pile, wherein the historical operation data of the charging pile is obtained based on the historical order information, and the historical order information is stored in the order platform; Based on the central processor, the historical operation data of the charging pile is preprocessed to obtain the complete historical operation data of the charging pile; Based on the central processor, the complete historical operation data of the charging pile is analyzed and processed to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile; Based on the central processor, the health status of the charging pile is determined by predicting the temperature deviation of the charging pile and the charging deviation of the charging pile; The method of analyzing and processing the complete historical operation data of the charging pile based on the central processor to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile specifically includes the following steps: Based on the central processor, the complete historical operation data of the charging pile is classified and processed to obtain the historical order information of the charging pile; The central processing unit sorts the historical order information of the charging piles according to the continuity of time, and obtains the continuous historical order information of the charging piles; The central processor analyzes and processes the continuous historical order information of the charging pile to obtain the shortest charging time; The central processing unit analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile; The specific calculation formula for obtaining the shortest charging time is: Where, T s F is the shortest charging time; i is the charging time in the continuous historical order information of the charging pile; n is the number of charging times in the continuous historical order information of the charging pile; min() is the minimum value function; The central processor analyzes and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature deviation of the charging pile and the charging deviation of the charging pile, which specifically includes the following steps: The central processing unit intercepts and processes the continuous historical order information of the charging pile according to the shortest charging time, and obtains the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile. The interception process specifically selects the shortest charging time in the continuous historical order information, and intercepts the charging time of other continuous historical order information in the continuous historical order information with the shortest charging time; The central processor performs difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile with reference to adjacent time, and obtains the temperature difference value of multiple groups of charging piles and the charging power difference value of multiple groups of charging piles; The central processing unit calculates the difference between the temperature of the multiple groups of charging piles and the difference between the charging power of the multiple groups of charging piles with adjacent time as a reference, and obtains the temperature deviation of the charging piles and the charging deviation of the charging piles.

2. The method for predicting and analyzing the health status of a charging pile according to claim 1, characterized in that: The data preprocessing of the historical operation data of the charging pile based on the central processor to obtain the complete historical operation data of the charging pile specifically includes the following steps: Based on the central processor, the historical operation data of the charging pile is traversed and processed to determine the location of blank data; Based on the central processor and database system, the historical operation data of the charging pile is analyzed and processed to determine the location of abnormal data; Based on the central processing unit, data modification processing is performed on the blank data positions and abnormal data positions respectively to obtain the complete historical operation data of the charging pile.

3. The method for predicting and analyzing the health status of a charging pile according to claim 2, characterized in that: The method of analyzing and processing the historical operation data of the charging pile based on the central processor and the database system to determine the location of abnormal data specifically includes the following steps: Based on the central processor, the database system is processed for data extraction to obtain the factory parameter information of the charging pile; Based on the central processor, the factory parameter information of the charging pile is analyzed and processed to determine the charging reference standard of the charging pile; The central processing unit analyzes and processes the historical operation data of the charging pile according to the charging reference standard of the charging pile to determine the location of abnormal data.

4. The method for predicting and analyzing the health status of a charging pile according to claim 2, characterized in that: The central processor is used to perform data modification processing on blank data positions and abnormal data positions respectively, and obtain the complete historical operation data of the charging pile, which specifically includes the following steps: Based on the central processing unit, data reading and processing are performed on the order information corresponding to the blank data position to obtain the first order number; Based on the central processing unit, data reading and processing are performed on the order information corresponding to the abnormal data position to obtain a second order number; The central processing unit performs data retrieval processing on the order platform according to the first order number and the second order number respectively, and obtains the first order information and the second order information; The central processing unit performs data search on the first order information and the second order information respectively according to the blank data position and the abnormal data position to determine the first filling data and the second filling data; The central processing unit performs data modification processing on the blank data position and the abnormal data position according to the first filling data and the second filling data to obtain the complete historical operation data of the charging pile.

5. The method for predicting and analyzing the health status of a charging pile according to claim 1, characterized in that: The method of performing prediction processing based on the central processor according to the temperature deviation of the charging pile and the charging deviation of the charging pile to determine the health status of the charging pile specifically includes the following steps: Based on the central processor, the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold are judged and processed respectively; If the temperature deviation of the charging pile is less than the set temperature threshold, and the charging deviation of the charging pile is less than the set charging threshold, the status of the charging pile is healthy; If the temperature deviation of the charging pile is less than the set temperature threshold and the charging deviation of the charging pile is greater than or equal to the set charging threshold, or the temperature deviation of the charging pile is greater than or equal to the set temperature threshold and the charging deviation of the charging pile is less than the set charging threshold, the status of the charging pile is sub-healthy, and the staff monitors the charging pile in real time; If the temperature deviation of the charging pile is greater than or equal to the set temperature threshold, and the charging deviation of the charging pile is greater than or equal to the set charging threshold, the status of the charging pile is unhealthy, and the staff will perform maintenance on the charging pile; If the state of the charging pile is a healthy state, the central processing unit predicts the operating state of the charging pile and determines a critical time, which is either a temperature critical time or a charging critical time.

6. A method for predicting and analyzing the health status of a charging pile according to claim 5, characterized in that: If the state of the charging pile is healthy, the central processor predicts the operating state of the charging pile, and determining the critical time specifically includes the following steps: If the status of the charging pile is healthy; Based on the central processor, the order platform is read and processed to obtain real-time order information; Based on the central processor, the real-time order information is analyzed and processed to obtain the real-time average temperature change of the charging pile and the real-time average charging capacity of the charging pile; Based on the central processing unit, the real-time average temperature change of the charging pile and the real-time average charging amount of the charging pile are predicted and processed to determine the critical time.

7. The method for predicting and analyzing the health status of a charging pile according to claim 6, characterized in that: The method of predicting the real-time average temperature change of the charging pile and the real-time average charge amount of the charging pile based on the central processor to determine the critical time specifically includes the following steps: Based on the central processor, the factory parameter information of the charging pile is retrieved and processed to determine the average change of the initial temperature of the charging pile and the initial average charge of the charging pile; Based on the central processor, the order platform is used for data retrieval and processing to obtain the time when the charging pile is put into use; Based on the central processor, the average real-time temperature change of the charging pile, the average initial temperature change of the charging pile, the real-time average charge of the charging pile, and the initial average charge of the charging pile are calculated to obtain the temperature change difference of the charging pile and the charge change difference of the charging pile; The central processing unit calculates and processes the temperature change difference of the charging pile, the time when the charging pile is put into use, the charging change difference of the charging pile, and the time when the charging pile is put into use, and obtains the temperature change rate of the charging pile and the charging change rate of the charging pile; Based on the central processing unit, the temperature change rate of the charging pile, the set temperature threshold, the charging change rate of the charging pile, and the set charging threshold are calculated and processed respectively to obtain the temperature critical time and the charging critical time.

8. A health status prediction and analysis system based on a charging pile, used to implement a health status prediction and analysis method based on a charging pile as claimed in any one of claims 1 to 7, characterized in that: include: A central processing unit, which is used to realize data transmission and information exchange between modules; A database system, the database system is used to store historical operation data of the charging pile and factory parameter information of the charging pile; An order platform, which is used to store historical order information of charging piles; A data processing module, wherein the data processing module is used to perform data preprocessing on the historical operation data of the charging pile to obtain the complete historical operation data of the charging pile; A data calculation module, wherein the data calculation module performs a difference processing on the temperature data of the order part of the charging pile and the charging power data of the order part of the charging pile to obtain the temperature deviation of the charging pile and the charging deviation of the charging pile, and the data calculation module performs a calculation processing on the real-time average temperature change of the charging pile, the initial average temperature change of the charging pile, the real-time average charging power of the charging pile, and the initial average charging power of the charging pile to obtain the temperature critical time and the charging critical time; A judgment module, wherein the judgment module judges and processes the temperature deviation of the charging pile, the set temperature threshold, the charging deviation of the charging pile, and the set charging threshold, respectively, to determine the state of the charging pile; A communication module, which is used to realize data transmission between the central processing unit and the database system and the order platform; The data processing module integrates a data search unit, a data reading unit, a data analysis unit, and a data filling unit.

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