Charging pile operation data processing system based on data analysis

Abstract

The invention relates to the technical field of charging piles, in particular to a charging pile operation data processing system based on data analysis, and aims to solve the problems that an existing charging pile operation monitoring method is insufficient in analysis and utilization degree of charging pile operation data, potential faults are difficult to find timely and accurately, maintenance personnel cannot be distributed efficiently and reasonably, and the maintenance cost is low. And the operation efficiency and the safety of the charging pile are influenced. According to the system, the operation state of the charging pile can be monitored in real time by deeply excavating the operation data of the charging pile, and potential operation abnormity or faults can be identified, so that the problems are eliminated in the bud, the operation efficiency and stability of the charging pile are improved, and through intelligent screening and distribution of maintainers, the safety of the charging pile is ensured when the faults occur. According to the invention, the method can quickly respond and dispatch the most suitable maintainer, greatly shortens the fault processing time, improves the maintenance efficiency, and effectively reduces the inconvenience and economic loss caused by the fault of the charging pile.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a charging pile operation data processing system based on data analysis. Background Art

[0002] With the rapid development of the electric vehicle market, the number of charging piles has increased significantly, and the daily operation, maintenance and repair management of charging piles have become increasingly prominent. The existing operation and maintenance methods of charging piles often rely on manual inspections, which have the disadvantages of low efficiency, high cost, long maintenance cycle and untimely response. The analysis and utilization of charging pile operation data are insufficient, and many problems can only be judged by personnel experience. It is difficult to detect potential faults in a timely and accurate manner, and it is impossible to efficiently and reasonably allocate maintenance personnel, which affects the operating efficiency and safety of charging piles, and thus affects the efficiency of charging piles and user experience.

[0003] Therefore, it is of great significance to develop a charging pile operation data processing system based on data analysis. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide a charging pile operation data processing system based on data analysis, which solves the problem that the existing charging pile operation monitoring methods are insufficient in analyzing and utilizing the charging pile operation data, making it difficult to timely and accurately detect potential faults, and it is impossible to efficiently and reasonably allocate maintenance personnel, resulting in the operation efficiency and safety of the charging pile being affected.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A charging pile operation data processing system based on data analysis, comprising: An operation monitoring module is used to obtain the operation monitoring information of the monitored object and send the operation monitoring information to the information processing module; wherein the operation monitoring information includes electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY; An information processing module is used to obtain an operation monitoring coefficient YJ according to the operation monitoring information, and send the operation monitoring coefficient YJ to the analysis and judgment module; The specific process of the information processing module obtaining the operation monitoring coefficient YJ is as follows: The electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY are normalized, and the values ​​of the electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY are quantified according to a preset operation monitoring model to obtain an operation monitoring coefficient YJ; The operation monitoring model is as follows: Where: η is the preset error adjustment factor, and η=1.098; Both e and π are mathematical constants; κ1, κ2, κ3 and κ4 are respectively the preset weight factors corresponding to the set electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY, κ1, κ2, κ3 and κ4 satisfy κ1>κ2>κ3>κ4>1.513, and κ1=3.74, κ2=3.02, κ3=2.36, κ4=1.88; An analysis and judgment module is used to judge the monitored object as a faulty charging pile according to the operation monitoring coefficient YJ, and generate a stop operation instruction at the same time, and send the stop operation instruction to the stop operation module; The stop operation module is used to control the faulty charging pile to stop running after receiving the stop operation instruction.

[0006] As a further solution of the present invention: the specific process of the operation monitoring module obtaining the operation monitoring information is as follows: Mark the charging piles that need to be monitored as monitoring objects; Obtain several real-time currents and real-time voltages of the monitored object during the most recent charging process of the electric vehicle, and mark them as real current values ​​SL and real voltage values ​​SY respectively, obtain the difference between the average value of all real current values ​​SL and the preset rated current, and mark it as the rated current difference EL, obtain the difference between the maximum real current value SL and the minimum real current value SL, and mark it as the maximum current difference ZL, quantify the rated current difference EL and the maximum current difference ZL, extract the values ​​of the rated current difference EL and the maximum current difference ZL, and calculate the value of the rated current difference EL and the maximum current difference ZL according to the formula Get the current value DL, obtain the difference between the average value of all actual pressure values ​​SY and the preset rated voltage, and mark it as the rated pressure difference value EY, obtain the difference between the maximum actual pressure value SY and the minimum actual pressure value SY, and mark it as the maximum pressure difference value ZY, quantify the rated pressure difference value EY and the maximum pressure difference value ZY, extract the values ​​of the rated pressure difference value EY and the maximum pressure difference value ZY, and calculate the value of the rated pressure difference value EY and the maximum pressure difference value ZY according to the formula Get the voltage value DY, quantize the current value DL and the voltage value DY, extract the values ​​of the current value DL and the voltage value DY, and use the formula The electrical information DQ is obtained; wherein d1 and d2 are respectively the preset proportional coefficients corresponding to the rated current difference EL and the maximum current difference ZL, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, d1=0.33, d2=0.67; wherein d3 and d4 are respectively the preset proportional coefficients corresponding to the rated voltage difference EY and the maximum voltage difference ZY, d3 and d4 satisfy d3+d4=1, 0<d3<d4<1, d3=0.41, d4=0.59; wherein q1 and q2 are respectively the preset proportional coefficients corresponding to the current value DL and the voltage value DY, q1 and q2 satisfy q1+q2=1, 0<q2<q1<1, q1=0.55, q2=0.45; Obtain the total number of times the monitoring object cannot be charged within the preset time period and the total number of charging interruptions during the charging process, and mark them as no recharge WC and interruption value ZD respectively. Quantify the no recharge WC and interruption value ZD, extract the values ​​of no recharge WC and interruption value ZD, and use the formula Obtain charging and disconnection information CD; wherein c1 and c2 are preset proportional coefficients corresponding to no-charging WC and interruption value ZD, respectively, c1 and c2 satisfy c1+c2=1, 0<c2<c1<1, and c1=0.57 and c2=0.43; Obtain the internal temperature, internal humidity and internal volatile organic compound concentration of the monitored object, and mark them as internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH respectively, quantify the internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH, extract the values ​​of the internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH, and substitute them into the formula for calculation. The internal information NB is obtained; wherein n1, n2 and n3 are respectively the preset proportional coefficients corresponding to the set internal temperature value NW, the internal humidity value NS and the internal volatility value NH, and n1, n2 and n3 satisfy n1+n2+n3=1, 0<n2<n1<n3<1, and n1=0.34, n2=0.25, n3=0.41; Obtain the time difference between the installation and use time of the monitored object and the current time, and mark it as the ampere-hour value AS; obtain the time difference between the last maintenance time of the monitored object and the current time, and mark it as the inspection time value JS; obtain the total number of charging and maintenance times of the monitored object from the installation to the current time, and mark them as the charging value CC and the repair value XC respectively; quantify the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, extract the values ​​of the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, and substitute them into the formula for calculation; according to the formula Obtain usage information SY; wherein e is a mathematical constant, s1, s2, s3 and s4 are preset proportional coefficients corresponding to the set ampere-hour value AS, check time value JS, charge value CC and repair value XC respectively, s1, s2, s3 and s4 satisfy s1+s2+s3+s4=1, 0<s3<s1<s2<s4<1, and s1=0.21, s2=0.29, s3=0.15, s4=0.35; The electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY are sent to the information processing module.

[0007] As a further solution of the present invention: the specific process of the analysis and judgment module generating the stop operation instruction is as follows: The operation monitoring coefficient YJ is compared with the preset operation monitoring threshold YJy, and the comparison results are as follows: If the operation monitoring coefficient YJ≥the operation monitoring threshold YJy, the monitoring object corresponding to the operation monitoring coefficient YJ is marked as a faulty charging pile, and the faulty charging pile is sent to the personnel management module. At the same time, a stop operation instruction is generated and sent to the stop operation module.

[0008] As a further solution of the present invention: the charging pile operation data processing system based on data analysis also includes: The personnel management module is used to obtain the personnel management information of the management object u according to the faulty charging pile, and send the personnel management information to the information processing module; wherein the personnel management information includes route information LX and work information GZ; and is also used to send the location of the faulty charging pile to the mobile terminal of the selected maintenance personnel.

[0009] As a further solution of the present invention: the specific process of the personnel management module obtaining the personnel management information is as follows: Draw a circular area with the location of the faulty charging pile as the center and a preset length as the radius, and mark it as the reference area; Obtain all charging pile maintenance personnel in the reference area and mark them as management objects u in sequence, where u=1, ..., v, v is a positive integer, u is the number of any management object, and v is the total number of management objects; Obtain the route length between the location of the management object u and the location of the faulty charging pile, and mark it as route information LX; Obtain the total number of repair fault charging piles of management object u and the length of service time of management object u, and mark them as dimension value WS and service value CY respectively, obtain the product of dimension value WS and service value CY, and mark it as work information GZ; Send route information LX and work information GZ to the information processing module.

[0010] As a further solution of the present invention: the information processing module is also used to obtain a personnel management coefficient RGu based on the personnel management information, and send the personnel management coefficient RGu to the analysis and judgment module.

[0011] As a further solution of the present invention: the specific process of the information processing module obtaining the personnel management coefficient RGu is as follows: The route information LX and the work information GZ are normalized, and the values ​​of the route information LX and the work information GZ are quantified according to a preset personnel management model to obtain a personnel management coefficient RGu; Among them, the personnel management model is as follows: Where: δ is the preset error adjustment factor, which is δ=0.951; Both e and π are mathematical constants; α1 and α2 are preset weight factors corresponding to the set route information LX and work information GZ respectively, α1 and α2 satisfy α2>α1>1.712, and α1=2.08 and α2=2.84 are taken; The personnel management coefficient RGu is sent to the analysis and judgment module.

[0012] As a further solution of the present invention: the analysis and judgment module is also used to obtain selected maintenance personnel according to the personnel management coefficient RGu, and send the selected maintenance personnel to the personnel management module.

[0013] As a further solution of the present invention: the specific process of the analysis and judgment module obtaining the selected maintenance personnel is as follows: All management objects u are sorted in descending order according to the personnel management coefficient RGu, and the management object u at the first position is marked as the selected maintenance personnel, and the selected maintenance personnel are sent to the personnel management module.

[0014] Beneficial effects of the present invention: A charging pile operation data processing system based on data analysis of the present invention first collects operation data of the charging pile to obtain operation monitoring information, wherein the operation monitoring information includes electrical information, charging and disconnection information, internal information and usage information, and obtains an operation monitoring coefficient according to the operation monitoring information through an information processing module, and then uses data analysis technology to obtain the operation monitoring coefficient according to the operation monitoring information to comprehensively measure the operation abnormality of the charging pile, and the larger the operation monitoring coefficient, the higher the operation abnormality, and then stops the operation of the charging pile, and collects data on maintenance personnel to obtain personnel management information, and then uses data analysis technology to obtain the personnel management coefficient according to the personnel management information to comprehensively measure the excellence of the maintenance personnel, and the larger the personnel management coefficient, the higher the excellence, and finally selects the best maintenance personnel to notify the abnormal charging pile for maintenance; The charging pile operation data processing system based on data analysis of the present invention can monitor the operation status of the charging pile in real time and identify potential operation anomalies or faults by deeply mining the charging pile operation data, thereby eliminating problems in the bud and improving the operation efficiency and stability of the charging pile. It can also ensure that when a fault occurs, the most suitable maintenance personnel can be quickly responded and dispatched through intelligent screening and allocation of maintenance personnel, greatly shortening the fault handling time, improving maintenance efficiency, and effectively reducing the inconvenience and economic losses caused by charging pile failures. Therefore, the system not only greatly improves the maintenance efficiency and user satisfaction of the charging pile, but also provides a strong technical guarantee for the healthy development of the new energy vehicle industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a principle block diagram of a charging pile operation data processing system based on data analysis in the present invention; Figure 2 It is a flow chart of a working method of a charging pile operation data processing system based on data analysis in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with 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.

[0018] Embodiment 1: See also Figure 1As shown, this embodiment is a charging pile operation data processing system based on data analysis, including the following modules: an operation monitoring module, an information processing module, an analysis and judgment module, a stop operation module and a personnel management module; The operation monitoring module is used to obtain the operation monitoring information of the monitored object and send the operation monitoring information to the information processing module; wherein the operation monitoring information includes electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY; The information processing module is used to obtain the operation monitoring coefficient YJ according to the operation monitoring information, and send the operation monitoring coefficient YJ to the analysis and judgment module; it is also used to obtain the personnel management coefficient RGu according to the personnel management information, and send the personnel management coefficient RGu to the analysis and judgment module; The analysis and judgment module is used to judge the monitored object as a faulty charging pile according to the operation monitoring coefficient YJ, and send the faulty charging pile to the personnel management module, and generate a stop operation instruction, and send the stop operation instruction to the stop operation module; it is also used to obtain the selected maintenance personnel according to the personnel management coefficient RGu, and send the selected maintenance personnel to the personnel management module; Wherein, the stopping operation module is used to control the faulty charging pile to stop operating after receiving the stopping operation instruction; Among them, the personnel management module is used to obtain the personnel management information of the management object u according to the faulty charging pile, and send the personnel management information to the information processing module; wherein the personnel management information includes route information LX and work information GZ; and is also used to send the location of the faulty charging pile to the mobile terminal of the selected maintenance personnel.

[0019] Embodiment 2: See also Figure 2 As shown, this embodiment is a working method of a charging pile operation data processing system based on data analysis, comprising the following steps: Step 1: The operation monitoring module obtains the operation monitoring information of the monitored object, wherein the operation monitoring information includes electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY, and sends the operation monitoring information to the information processing module; Step 2: The information processing module obtains the operation monitoring coefficient YJ according to the operation monitoring information, and sends the operation monitoring coefficient YJ to the analysis and judgment module; Step 3: The analysis and judgment module determines the monitored object as a faulty charging pile according to the operation monitoring coefficient YJ, and sends the faulty charging pile to the personnel management module, and generates a stop operation instruction at the same time, and sends the stop operation instruction to the stop operation module; Step 4: After receiving the stop operation instruction, the stop operation module controls the faulty charging pile to stop running; Step 5: The personnel management module obtains the personnel management information of the management object u according to the faulty charging pile, wherein the personnel management information includes the route information LX and the work information GZ, and sends the personnel management information to the information processing module; Step 6: The information processing module obtains the personnel management coefficient RGu according to the personnel management information, and sends the personnel management coefficient RGu to the analysis and judgment module; Step 7: The analysis and judgment module obtains the selected maintenance personnel according to the personnel management coefficient RGu, and sends the selected maintenance personnel to the personnel management module; Step 8: The personnel management module sends the location of the faulty charging pile to the mobile terminal of the selected maintenance personnel.

[0020] Embodiment 3: Based on any of the above embodiments, Embodiment 3 of the present invention is an operation monitoring module, and the function of the operation monitoring module is to obtain operation monitoring information, wherein the operation monitoring information includes electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY. The specific process is as follows: The operation monitoring module marks the charging piles that need to be monitored as monitoring objects; The monitoring module is run to obtain several real-time currents and real-time voltages of the monitored object in the most recent charging process of the electric vehicle, and they are marked as real current value SL and real voltage value SY respectively, the difference between the average value of all real current values ​​SL and the preset rated current is obtained, and it is marked as the rated current difference EL, the difference between the maximum real current value SL and the minimum real current value SL is obtained, and it is marked as the maximum current difference ZL, the rated current difference EL and the maximum current difference ZL are quantified, and the values ​​of the rated current difference EL and the maximum current difference ZL are extracted, and according to the formula Get the current value DL, obtain the difference between the average value of all actual pressure values ​​SY and the preset rated voltage, and mark it as the rated pressure difference value EY, obtain the difference between the maximum actual pressure value SY and the minimum actual pressure value SY, and mark it as the maximum pressure difference value ZY, quantify the rated pressure difference value EY and the maximum pressure difference value ZY, extract the values ​​of the rated pressure difference value EY and the maximum pressure difference value ZY, and calculate the value of the rated pressure difference value EY and the maximum pressure difference value ZY according to the formula Get the voltage value DY, quantize the current value DL and the voltage value DY, extract the values ​​of the current value DL and the voltage value DY, and use the formula The electrical information DQ is obtained; wherein d1 and d2 are respectively the preset proportional coefficients corresponding to the rated current difference EL and the maximum current difference ZL, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, d1=0.33, d2=0.67; wherein d3 and d4 are respectively the preset proportional coefficients corresponding to the rated voltage difference EY and the maximum voltage difference ZY, d3 and d4 satisfy d3+d4=1, 0<d3<d4<1, d3=0.41, d4=0.59; wherein q1 and q2 are respectively the preset proportional coefficients corresponding to the current value DL and the voltage value DY, q1 and q2 satisfy q1+q2=1, 0<q2<q1<1, q1=0.55, q2=0.45; The monitoring module is operated to obtain the total number of times the monitoring object cannot be charged within the preset time period and the total number of charging interruptions during the charging process, and they are marked as no recharge WC and interruption value ZD respectively. The no recharge WC and interruption value ZD are quantified, and the values ​​of no recharge WC and interruption value ZD are extracted. According to the formula Obtain charging and disconnection information CD; wherein c1 and c2 are preset proportional coefficients corresponding to no-charging WC and interruption value ZD, respectively, c1 and c2 satisfy c1+c2=1, 0<c2<c1<1, and c1=0.57 and c2=0.43; Run the monitoring module to obtain the internal temperature, internal humidity and internal organic volatile concentration of the monitored object, and mark them as internal temperature value NW, internal humidity value NS and internal volatile value NH respectively, quantify the internal temperature value NW, internal humidity value NS and internal volatile value NH, extract the values ​​of the internal temperature value NW, internal humidity value NS and internal volatile value NH, and substitute them into the formula for calculation. The internal information NB is obtained; wherein n1, n2 and n3 are respectively the preset proportional coefficients corresponding to the set internal temperature value NW, the internal humidity value NS and the internal volatility value NH, and n1, n2 and n3 satisfy n1+n2+n3=1, 0<n2<n1<n3<1, and n1=0.34, n2=0.25, n3=0.41; Run the monitoring module to obtain the time difference between the installation and use time of the monitored object and the current time, and mark it as the ampere-hour value AS, obtain the time difference between the last maintenance time of the monitored object and the current time, and mark it as the inspection time value JS, obtain the total number of charging and maintenance times of the monitored object from the installation to the current time, and mark them as the charging value CC and the repair value XC respectively, quantify the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, extract the values ​​of the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, and substitute them into the formula for calculation. According to the formula Obtain usage information SY; wherein e is a mathematical constant, s1, s2, s3 and s4 are preset proportional coefficients corresponding to the set ampere-hour value AS, check time value JS, charge value CC and repair value XC respectively, s1, s2, s3 and s4 satisfy s1+s2+s3+s4=1, 0<s3<s1<s2<s4<1, and s1=0.21, s2=0.29, s3=0.15, s4=0.35; The operation monitoring module sends the electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY to the information processing module.

[0021] Embodiment 4: Based on any of the above embodiments, Embodiment 4 of the present invention is an information processing module, and the information processing module has two functions: One of the functions is to obtain the operation monitoring coefficient YJ. The specific process is as follows: The information processing module normalizes the electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY, and quantifies the values ​​of the electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY according to the preset operation monitoring model to obtain the operation monitoring coefficient YJ; The operation monitoring model is as follows: Where: η is the preset error adjustment factor, and η=1.098; Both e and π are mathematical constants; κ1, κ2, κ3 and κ4 are respectively the preset weight factors corresponding to the set electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY, κ1, κ2, κ3 and κ4 satisfy κ1>κ2>κ3>κ4>1.513, and κ1=3.74, κ2=3.02, κ3=2.36, κ4=1.88; The information processing module sends the operation monitoring coefficient YJ to the analysis and judgment module; The second function is to obtain the personnel management coefficient RGu. The specific process is as follows: The information processing module normalizes the route information LX and the work information GZ, and quantifies the values ​​of the route information LX and the work information GZ according to the preset personnel management model to obtain the personnel management coefficient RGu; Among them, the personnel management model is as follows: Where: δ is the preset error adjustment factor, which is δ=0.951; Both e and π are mathematical constants; α1 and α2 are preset weight factors corresponding to the set route information LX and work information GZ respectively, α1 and α2 satisfy α2>α1>1.712, and α1=2.08 and α2=2.84 are taken; The information processing module sends the personnel management coefficient RGu to the analysis and judgment module.

[0022] Embodiment 5: Based on any of the above embodiments, Embodiment 5 of the present invention is an analysis and judgment module, which has two functions: One of them is to generate a stop command. The specific process is as follows: The analysis and judgment module compares the operation monitoring coefficient YJ with the preset operation monitoring threshold YJy. The comparison results are as follows: If the operation monitoring coefficient YJ ≥ the operation monitoring threshold YJy, the monitoring object corresponding to the operation monitoring coefficient YJ is marked as a faulty charging pile, and the faulty charging pile is sent to the personnel management module. At the same time, a stop operation instruction is generated and sent to the stop operation module; The second function is to obtain selected maintenance personnel. The specific process is as follows: The analysis and judgment module sorts all the management objects u according to the personnel management coefficient RGu from large to small, marks the management object u at the first place as the selected maintenance personnel, and sends the selected maintenance personnel to the personnel management module.

[0023] Embodiment 6: Based on any of the above embodiments, Embodiment 6 of the present invention is a stop operation module, and the function of the stop operation module is to control the faulty charging pile to stop running after receiving a stop operation instruction.

[0024] Embodiment 7: Based on any of the above embodiments, Embodiment 7 of the present invention is a personnel management module, which has two functions: The first function is to obtain personnel management information, wherein the personnel management information includes route information LX and work information GZ. The specific process is as follows: The personnel management module draws a circular area with the location of the faulty charging pile as the center and a preset length as the radius, and marks it as a reference area; The personnel management module obtains all charging pile maintenance personnel in the reference area and marks them as management objects u in sequence, where u=1, ..., v, v is a positive integer, u is the number of any management object, and v is the total number of management objects; The personnel management module obtains the route length between the location of the management object u and the location of the faulty charging pile, and marks it as route information LX; The personnel management module obtains the total number of repair fault charging piles of the management object u and the employment time of the management object u, and marks them as the dimension value WS and the employment value CY respectively, obtains the product of the dimension value WS and the employment value CY, and marks it as work information GZ; The personnel management module sends the route information LX and the work information GZ to the information processing module.

[0025] The second function is to send the location of the faulty charging pile to the mobile terminal of the selected maintenance personnel.

[0026] Based on the above embodiments 1-7, the working principle of the present invention is as follows: A charging pile operation data processing system based on data analysis of the present invention obtains operation monitoring information of a monitored object through an operation monitoring module, wherein the operation monitoring information includes electrical information, charging and disconnection information, internal information and usage information; obtains an operation monitoring coefficient according to the operation monitoring information through an information processing module; determines the monitored object as a faulty charging pile according to the operation monitoring coefficient through an analysis and judgment module, and generates a stop operation instruction at the same time; controls the faulty charging pile to stop operation after receiving the stop operation instruction through the stop operation module; obtains personnel management information of the management object according to the faulty charging pile through a personnel management module, wherein the personnel management information includes route information and work information; obtains a personnel management coefficient according to the personnel management information through an information processing module; obtains a selected maintenance personnel according to the personnel management coefficient through an analysis and judgment module, and sends the location of the faulty charging pile to a mobile phone terminal of the selected maintenance personnel through the personnel management module; the system first collects operation data of the charging pile to obtain operation monitoring information, wherein the operation monitoring information includes electrical information, charging and disconnection information, internal information and usage information; obtains an operation monitoring coefficient according to the information processing module, and generates a stop operation instruction through an analysis and judgment module; The information processing module obtains the operation monitoring coefficient according to the operation monitoring information, and then uses the data analysis technology to obtain the operation monitoring coefficient according to the operation monitoring information to comprehensively measure the abnormal operation degree of the charging pile, and the larger the operation monitoring coefficient is, the higher the abnormal operation degree is. Then, it is stopped and processed, and the maintenance personnel are collected to obtain personnel management information. Then, the personnel management coefficient obtained according to the personnel management information using data analysis technology can comprehensively measure the excellence of the maintenance personnel, and the larger the personnel management coefficient is, the higher the excellence is. Finally, the best maintenance personnel are selected to notify the abnormal charging pile for maintenance; the system can monitor the operation status of the charging pile in real time and identify potential abnormal operation or failures by deeply mining the operation data of the charging pile, so as to eliminate the problem in the bud, improve the operation efficiency and stability of the charging pile, and ensure that the most suitable maintenance personnel can be quickly responded and dispatched when a failure occurs through intelligent maintenance personnel screening and allocation, which greatly shortens the fault handling time, improves the maintenance efficiency, and effectively reduces the inconvenience and economic losses caused by the failure of the charging pile. Therefore, the system not only greatly improves the maintenance efficiency and user satisfaction of the charging pile, but also provides a strong technical guarantee for the healthy development of the new energy vehicle industry.

[0027] It should be further explained that the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0028] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0029] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A charging pile operation data processing system based on data analysis, characterized in that: include: An operation monitoring module is used to obtain the operation monitoring information of the monitored object and send the operation monitoring information to the information processing module; wherein the operation monitoring information includes electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY; An information processing module is used to obtain an operation monitoring coefficient YJ according to the operation monitoring information, and send the operation monitoring coefficient YJ to the analysis and judgment module; The specific process of the information processing module obtaining the operation monitoring coefficient YJ is as follows: The electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY are normalized, and the values ​​of the electrical information DQ, the charging and disconnecting information CD, the internal information NB and the usage information SY are quantified according to a preset operation monitoring model to obtain an operation monitoring coefficient YJ; The operation monitoring model is as follows: Where: η is the preset error adjustment factor, and η=1.098; Both e and π are mathematical constants; κ1, κ2, κ3 and κ4 are respectively the preset weight factors corresponding to the set electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY, κ1, κ2, κ3 and κ4 satisfy κ1>κ2>κ3>κ4>1.513, and κ1=3.74, κ2=3.02, κ3=2.36, κ4=1.88; An analysis and judgment module is used to judge the monitored object as a faulty charging pile according to the operation monitoring coefficient YJ, and generate a stop operation instruction at the same time, and send the stop operation instruction to the stop operation module; The stop operation module is used to control the faulty charging pile to stop running after receiving the stop operation instruction.

2. A charging pile operation data processing system based on data analysis according to claim 1, characterized in that: The specific process of the operation monitoring module obtaining the operation monitoring information is as follows: Mark the charging piles that need to be monitored as monitoring objects; Obtain several real-time currents and real-time voltages of the monitored object during the most recent charging process of the electric vehicle, and mark them as real current values ​​SL and real voltage values ​​SY respectively, obtain the difference between the average value of all real current values ​​SL and the preset rated current, and mark it as the rated current difference EL, obtain the difference between the maximum real current value SL and the minimum real current value SL, and mark it as the maximum current difference ZL, quantify the rated current difference EL and the maximum current difference ZL, extract the values ​​of the rated current difference EL and the maximum current difference ZL, and calculate the value of the rated current difference EL and the maximum current difference ZL according to the formula Get the current value DL, obtain the difference between the average value of all actual pressure values ​​SY and the preset rated voltage, and mark it as the rated pressure difference value EY, obtain the difference between the maximum actual pressure value SY and the minimum actual pressure value SY, and mark it as the maximum pressure difference value ZY, quantify the rated pressure difference value EY and the maximum pressure difference value ZY, extract the values ​​of the rated pressure difference value EY and the maximum pressure difference value ZY, and calculate the value of the rated pressure difference value EY and the maximum pressure difference value ZY according to the formula Get the voltage value DY, quantize the current value DL and the voltage value DY, extract the values ​​of the current value DL and the voltage value DY, and use the formula The electrical information DQ is obtained; wherein d1 and d2 are respectively the preset proportional coefficients corresponding to the rated current difference EL and the maximum current difference ZL, d1 and d2 satisfy d1+d2=1, 0<d1<d2<1, d1=0.33, d2=0.67; wherein d3 and d4 are respectively the preset proportional coefficients corresponding to the rated voltage difference EY and the maximum voltage difference ZY, d3 and d4 satisfy d3+d4=1, 0<d3<d4<1, d3=0.41, d4=0.59; wherein q1 and q2 are respectively the preset proportional coefficients corresponding to the current value DL and the voltage value DY, q1 and q2 satisfy q1+q2=1, 0<q2<q1<1, q1=0.55, q2=0.45; Obtain the total number of times the monitoring object cannot be charged within the preset time period and the total number of charging interruptions during the charging process, and mark them as no recharge WC and interruption value ZD respectively. Quantify the no recharge WC and interruption value ZD, extract the values ​​of no recharge WC and interruption value ZD, and use the formula Obtain charging and disconnection information CD; wherein c1 and c2 are preset proportional coefficients corresponding to no-charging WC and interruption value ZD, respectively, c1 and c2 satisfy c1+c2=1, 0<c2<c1<1, and c1=0.57 and c2=0.43; Obtain the internal temperature, internal humidity and internal volatile organic compound concentration of the monitored object, and mark them as internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH respectively, quantify the internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH, extract the values ​​of the internal temperature value NW, internal humidity value NS and internal volatile organic compound value NH, and substitute them into the formula for calculation. The internal information NB is obtained; wherein n1, n2 and n3 are respectively the preset proportional coefficients corresponding to the set internal temperature value NW, the internal humidity value NS and the internal volatility value NH, and n1, n2 and n3 satisfy n1+n2+n3=1, 0<n2<n1<n3<1, and n1=0.34, n2=0.25, n3=0.41; Obtain the time difference between the installation and use time of the monitored object and the current time, and mark it as the ampere-hour value AS; obtain the time difference between the last maintenance time of the monitored object and the current time, and mark it as the inspection time value JS; obtain the total number of charging and maintenance times of the monitored object from the installation to the current time, and mark them as the charging value CC and the repair value XC respectively; quantify the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, extract the values ​​of the ampere-hour value AS, the inspection time value JS, the charging value CC and the repair value XC, and substitute them into the formula for calculation; according to the formula Obtain usage information SY; wherein e is a mathematical constant, s1, s2, s3 and s4 are preset proportional coefficients corresponding to the set ampere-hour value AS, check time value JS, charge value CC and repair value XC respectively, s1, s2, s3 and s4 satisfy s1+s2+s3+s4=1, 0<s3<s1<s2<s4<1, and s1=0.21, s2=0.29, s3=0.15, s4=0.35; The electrical information DQ, charging and disconnection information CD, internal information NB and usage information SY are sent to the information processing module.

3. A charging pile operation data processing system based on data analysis according to claim 1, characterized in that: The specific process of the analysis and judgment module generating the stop operation instruction is as follows: The operation monitoring coefficient YJ is compared with the preset operation monitoring threshold YJy, and the comparison results are as follows: If the operation monitoring coefficient YJ≥the operation monitoring threshold YJy, the monitoring object corresponding to the operation monitoring coefficient YJ is marked as a faulty charging pile, and the faulty charging pile is sent to the personnel management module. At the same time, a stop operation instruction is generated and sent to the stop operation module.

4. A charging pile operation data processing system based on data analysis according to claim 1, characterized in that: Also includes: The personnel management module is used to obtain the personnel management information of the management object u according to the faulty charging pile, and send the personnel management information to the information processing module; wherein the personnel management information includes route information LX and work information GZ; and is also used to send the location of the faulty charging pile to the mobile terminal of the selected maintenance personnel.

5. A charging pile operation data processing system based on data analysis according to claim 4, characterized in that: The specific process of the personnel management module obtaining personnel management information is as follows: Draw a circular area with the location of the faulty charging pile as the center and a preset length as the radius, and mark it as the reference area; Obtain all charging pile maintenance personnel in the reference area and mark them as management objects u in sequence, where u=1, ..., v, v is a positive integer, u is the number of any management object, and v is the total number of management objects; Obtain the route length between the location of the management object u and the location of the faulty charging pile, and mark it as route information LX; Obtain the total number of repair fault charging piles of management object u and the length of service time of management object u, and mark them as dimension value WS and service value CY respectively, obtain the product of dimension value WS and service value CY, and mark it as work information GZ; Send route information LX and work information GZ to the information processing module.

6. A charging pile operation data processing system based on data analysis according to claim 1, characterized in that: The information processing module is also used to obtain a personnel management coefficient RGu based on the personnel management information, and send the personnel management coefficient RGu to the analysis and judgment module.

7. A charging pile operation data processing system based on data analysis according to claim 6, characterized in that: The specific process of the information processing module obtaining the personnel management coefficient RGu is as follows: The route information LX and the work information GZ are normalized, and the values ​​of the route information LX and the work information GZ are quantified according to a preset personnel management model to obtain a personnel management coefficient RGu; Among them, the personnel management model is as follows: Where: δ is the preset error adjustment factor, which is δ=0.951; Both e and π are mathematical constants; α1 and α2 are preset weight factors corresponding to the set route information LX and work information GZ respectively, α1 and α2 satisfy α2>α1>1.712, and α1=2.08 and α2=2.84 are taken; The personnel management coefficient RGu is sent to the analysis and judgment module.

8. The charging pile operation data processing system based on data analysis according to claim 1 is characterized in that: The analysis and judgment module is also used to obtain selected maintenance personnel according to the personnel management coefficient RGu, and send the selected maintenance personnel to the personnel management module.

9. A charging pile operation data processing system based on data analysis according to claim 8, characterized in that: The specific process of the analysis and judgment module obtaining the selected maintenance personnel is as follows: All management objects u are sorted in descending order according to the personnel management coefficient RGu, and the management object u at the first position is marked as the selected maintenance personnel, and the selected maintenance personnel are sent to the personnel management module.

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