CN117853274B - New energy automobile fills electric pile operation data analysis management system based on big data - Google Patents
New energy automobile fills electric pile operation data analysis management system based on big data Download PDFInfo
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Abstract
The invention discloses a new energy automobile charging pile operation data analysis and management system based on big data, and relates to the technical field of new energy automobile charging pile data management. The new energy automobile fills electric pile operation data analysis management system based on big data relies on the collection to the use data of every individual fills electric pile in the region, combines corresponding calculation to obtain the electric pile health coefficient JK that fills electric pile of target, and then can make the position dispatch report to individual between filling electric pile at regional macroscopic level, is convenient for instruct the executor to change and fills electric pile running position for healthier fills electric pile and can be operated on the parking stall that charges duration is higher all the time, and less healthier fills electric pile and can be operated at the parking stall that charges duration is lower.
Description
Technical Field
The invention relates to the technical field of data management of charging piles of new energy automobiles, in particular to a data analysis and management system for the operation of the charging piles of the new energy automobiles based on big data.
Background
The new energy automobile comprises a pure electric automobile, a range-extended electric automobile, a hybrid electric automobile, a fuel cell electric automobile, a hydrogen engine automobile and the like, the pure electric automobile is mainly used as the pure electric automobile in the current market, and a battery is used as a power source for energy storage of the pure electric automobile, so that the endurance of the pure electric automobile is ensured, and a charging pile is arranged in a specific area to charge the pure electric automobile similar to a traditional gas station;
The prior Chinese patent document CN117196078A discloses a new energy automobile charging pile operation data analysis management system based on big data, belonging to the technical field of new energy automobile data management; the daily use data of different charging piles in different charging areas and the user reservation data are integrated to analyze and verify the working state of the charging piles, so that the charging piles in abnormal working states can be timely and efficiently found, and specific reasons for the fact that the charging piles cannot work normally can be obtained, and maintenance personnel can be timely and efficiently informed to conduct targeted maintenance to improve the use effect of the charging piles; the technical problem that in the existing scheme, monitoring analysis of different dimensions cannot be implemented on working states of individual charging piles in different position areas, and management and maintenance can be implemented on the individual charging piles in a targeted manner is solved;
According to the patent, in the prior art, the operation data management of the charging pile of the new energy automobile is still remained in the monitoring of the operation state of the charging pile and the implementation of the maintenance level of the individual charging pile according to the monitoring, but the charging pile in the area cannot be regulated and planned in a macroscopic manner, in the actual use process, the situation that the number of times of maintenance is relatively large due to the poor health condition of the charging pile on a charging parking space with relatively high charging frequency and charging duration exists, and the adjustment planning of the charging pile is lacking in the prior art, and in the situation, the mode adopted in the prior art is either direct replacement or continuous maintenance, the operation cost is increased due to the direct replacement, the performance utilization rate of the charging pile is not high, the charging work cannot be continuously carried out when the charging pile parking space is continuously maintained when the charging pile is maintained each time, and the influence on the charging work is relatively large; besides, a plurality of charging piles on the charging parking spaces with lower charging frequency and charging duration exist, the health conditions of the charging piles are good, the charging piles are placed for a long time, and the performance of the charging piles is wasted due to the fact that the charging piles are placed on the charging parking spaces with poor economic benefits for a long time.
Therefore, it is necessary to provide a new energy automobile charging pile operation data analysis management system based on big data to solve the above technical problems.
Disclosure of Invention
(One) solving the technical problems
In order to solve the technical problems, the invention provides a new energy automobile charging pile operation data analysis management system based on big data.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the utility model provides a new energy automobile fills electric pile operation data analysis management system based on big data, includes data acquisition module and execution module, data acquisition module adopts regional target to fill electric pile CDZ' S use data S, and execution module obtains and uses data S to calculate and makes regional target and fills electric pile CDZ adjustment report, specifically includes:
a1, a data acquisition module records use data S of a target charging pile CDZ, wherein the use data S comprises historical charging total duration LH of the target charging pile CDZ, total number of shell-removing maintenance WZ of the target charging pile CDZ in a statistical period Z and charging duration ZH of the target charging pile CDZ in the statistical period Z;
A2, the execution module calculates the charging pile health coefficient JK of the target charging pile CDZ according to the use data S, and compares the charging pile health coefficients JK of the target charging piles CDZ to make a target charging pile CDZ adjustment report in the area.
Preferably, the execution module comprises three sub-modules, namely a processing module, a storage module and a position acquisition module.
Preferably, the health coefficient JK of the charging pile is calculated by adopting the following formula:
；
wherein a is an influence coefficient of LH, WS is a maintenance coefficient of a target charging pile CDZ in a statistical period Z, and WH is a set duration of the statistical period Z;
Preferably, the step A2 specifically includes the following steps:
b1, setting a classification duration value SD of a target charging pile CDZ through a processing module, screening out target charging piles CDZ with the charging duration ZH in a statistical period Z being greater than the classification duration value SD in an area, marking the target charging piles CDZ as ACDZ, screening out target charging piles CDZ with the charging duration ZH in the statistical period Z being less than or equal to the classification duration value SD in the area, and marking the target charging piles CDZ as BCDZ;
B2, setting a maximum value JKmax of the health coefficient of the charging pile through a processing module, and screening ACDZ of which the health coefficient JK of the charging pile is greater than the maximum value JKmax of the health coefficient of the charging pile by an execution module, wherein the ACDZ is recorded as ACDZ Inferior grade ;
B3, setting a minimum value JKmin of the health coefficient of the charging pile through a processing module, and screening BCDZ, namely BCDZ Superior and excellent , of the health coefficient JK of the charging pile, which is smaller than the minimum value JKmin of the health coefficient of the charging pile, by an execution module;
and B4, the processing module combines the regional map data packet DT stored by the storage module to make an adjustment report of changing BCDZ Superior and excellent by the ACDZ Inferior grade and outputs the adjustment report to an executive.
Preferably, in the step B4, the processing module makes an adjustment report according to a path nearby principle, and specifically includes the following steps:
The method comprises the steps that C1, a position acquisition module acquires position information P of all ACDZ Inferior grade and BCDZ Superior and excellent ;
And C2, the processing module sequentially obtains the shortest paths X between each ACDZ Inferior grade and all BCDZ Superior and excellent according to the regional map data packet DT and the position information P, so as to obtain the following path set T:
；
Wherein ACDZ Inferior grade k represents the kth ACDZ Inferior grade ,BCDZ Superior and excellent n represents the nth BCDZ Superior and excellent , and the set Representing the shortest path X between kth ACDZ Inferior grade to nth BCDZ Superior and excellent ;
C3, the processing module performs ascending arrangement on all the shortest paths X in the set T according to the path distance, and when the distances of two or more than two shortest paths X are equal in the arrangement process, the arrangement sequence of the two or more than two shortest paths X is arbitrarily determined;
C4, a processing module firstly determines shortest paths X of a first name in ascending arrangement, then performs rejection work in the rest shortest paths X in ascending arrangement, rejects shortest paths X taking any one of a target charging pile CDZ of a starting point of the determined shortest paths X and a target charging pile CDZ of a terminal point as the starting point or the terminal point, continuously determines shortest paths X of a second name in the rest ascending arrangement after the rejection is finished, continuously rejects shortest paths X taking any one of the target charging pile CDZ of the starting point of the determined shortest paths X and the target charging pile CDZ of the terminal point as the starting point or the terminal point after the determination, and sequentially performs subsequent determination work and rejection work according to ascending arrangement sequence until only the determined shortest paths X remain in ascending arrangement;
And C5, the processing module makes an adjustment report according to the final remaining determined shortest path X in the ascending order, the target charging piles which are mutually exchanged in the adjustment report are the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X, and the position data P of the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X are reported.
Preferably, in the step B4, there are three specific cases, which are respectively as follows:
case one: the same number of ACDZs Inferior grade and BCDZ Superior and excellent , all ACDZs Inferior grade and all BCDZ Superior and excellent can be exchanged;
And a second case: if the number of ACDZ Inferior grade is greater than BCDZ Superior and excellent , the ACDZ Inferior grade remains after the adjustment report is generated, and if so, the remaining ACDZ Inferior grade is directly replaced by a new charging pile;
And a third case: the number of ACDZ Inferior grade is less than BCDZ Superior and excellent , and all ACDZ Inferior grade can be adjusted according to the adjustment report.
Preferably, the total number of shell removal and maintenance WZ in the statistical period Z is specifically the number of times of disassembling the shell of the target charging pile CDZ for maintenance in the statistical period Z.
Preferably, the execution module further comprises a map updating module which is arranged below the execution module and is communicated with the server in real time through the internet, and the regional map data packet DT in the storage module is updated in real time.
(III) beneficial effects
The invention provides a new energy automobile charging pile operation data analysis and management system based on big data. Compared with the prior art, the method has the following beneficial effects:
According to the new energy automobile charging pile operation data analysis management system based on big data, the charging pile health coefficient JK of each individual charging pile in the area is obtained by means of collection of the use data of the corresponding charging pile, and the charging pile health coefficient JK of the target charging pile is obtained by combining corresponding calculation, so that a position dispatching report for the individual charging piles can be made on the macroscopic level of the area, the dispatching report content is the charging pile which is long in the period when the charging pile needs to be exchanged and is bad in health condition and the charging pile which is short in the period and is good in health condition and is short in the period when the charging pile is closest to the charging pile, the charging pile is convenient to guide executive personnel to exchange the charging pile operation position, the healthier charging pile can always operate on a charging parking space with higher charging duration, the unhealthy charging pile can operate on a charging parking space with lower charging duration, the situation that frequent maintenance on the charging parking space with higher charging duration causes great influence on the use of the charging pile is continuously existing on the condition that the charging pile with good health condition is long in the period is avoided, and the situation that the charging pile with lower service performance is continuously caused on the charging parking space is continuously caused.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention;
FIG. 3 is a schematic diagram showing the step A2 of the present invention;
FIG. 4 is a schematic diagram showing the step B4 of the present invention;
FIG. 5 is a schematic diagram of a second embodiment of the present invention;
FIG. 6 is a second schematic diagram of a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 4, the present embodiment provides a technical solution: the utility model provides a new energy automobile fills electric pile operation data analysis management system based on big data, includes data acquisition module and execution module, the execution module includes the three submodules who sets down, respectively for carrying out calculation analysis and report output 'S processing module, storage module that stores map data and obtain the position acquisition module of target fills electric pile CDZ positional information, data acquisition module adopts regional target to fill electric pile CDZ' S use data S, and execution module obtains and uses data S to calculate and make regional target fills electric pile CDZ adjustment report, concretely includes:
a1, a data acquisition module records use data S of a target charging pile CDZ, wherein the use data S comprises historical charging total duration LH of the target charging pile CDZ, total shell-removing maintenance times WZ of the target charging pile CDZ in a statistical period Z and charging duration ZH of the target charging pile CDZ in the statistical period Z, and the total shell-removing maintenance times WZ of the target charging pile CDZ in the statistical period Z are specifically the times of disassembling a shell of the target charging pile CDZ for maintenance in the statistical period Z;
a2, the execution module calculates a charging pile health coefficient JK of the target charging pile CDZ according to the use data S, and compares the charging pile health coefficients JK of the target charging piles CDZ to make a target charging pile CDZ adjustment report in the area;
The health coefficient JK of the charging pile is calculated by adopting the following formula:
；
Wherein a is an influence coefficient of LH, a=0.001 is set, ws is a maintenance coefficient of a target charging pile CDZ in a statistics period Z, WH is a set duration of the statistics period Z, the set duration can be set according to requirements, and can be set to 90 days, and the greater the charging pile health coefficient JK of the target charging pile CDZ is, the worse the health state of the target charging pile CDZ is indicated;
In summary, the calculation for JK is illustrated as follows:
Three running new energy automobiles are arranged in the set area to charge a parking lot E and a parking lot F, three target charging piles E1, E2 and E3 are arranged in the parking lot E, and three target charging piles F1 and F2 are arranged in the parking lot F; in the statistical period Z (the set duration of the statistical period Z is 90 days), the data acquisition module records the use data S of E1, E2, E3, F1 and F2 to obtain the following table 1:
TABLE 1
Using table 1 above, the processing module can calculate according to the JK calculation formula:
JKE1≈0.155，JKE2≈0.2，JKE3≈0.09，JKF1≈0.145，JKF2≈0.176；
The greater the charging pile health coefficient JK of the target charging pile CDZ is, the worse the health state of the target charging pile CDZ is;
The step A2 of generating the CDZ adjustment report of the target charging pile in the area by the execution module specifically comprises the following steps:
b1, setting a classification duration value SD of a target charging pile CDZ through a processing module, screening out target charging piles CDZ with the charging duration ZH in a statistical period Z being greater than the classification duration value SD in an area, marking the target charging piles CDZ as ACDZ, screening out target charging piles CDZ with the charging duration ZH in the statistical period Z being less than or equal to the classification duration value SD in the area, and marking the target charging piles CDZ as BCDZ;
B2, setting a maximum value JKmax of the health coefficient of the charging pile through a processing module, and screening ACDZ of which the health coefficient JK of the charging pile is greater than the maximum value JKmax of the health coefficient of the charging pile by an execution module, wherein the ACDZ is recorded as ACDZ Inferior grade ;
B3, setting a minimum value JKmin of the health coefficient of the charging pile through a processing module, and screening BCDZ, namely BCDZ Superior and excellent , of the health coefficient JK of the charging pile, which is smaller than the minimum value JKmin of the health coefficient of the charging pile, by an execution module;
And B4, the processing module combines the regional map data packet DT stored by the storage module to make an adjustment report of the ACDZ Inferior grade for replacing BCDZ Superior and excellent and outputs the adjustment report to an executive, and the processing module makes the adjustment report according to the path nearby principle, and specifically comprises the following steps:
The method comprises the steps that C1, a position acquisition module acquires position information P of all ACDZ Inferior grade and BCDZ Superior and excellent , the position information comprises longitude and latitude data of a charging parking space where a target charging pile CDZ is located and serial number data of a parking lot where the charging parking space is located, the longitude and latitude data are used for inputting a map data packet DT to complete the shortest path X determination work, and the serial number data are used for assisting an executive to find the charging parking space more smoothly when the executive performs charging pile scheduling;
And C2, the processing module sequentially obtains the shortest paths X between each ACDZ Inferior grade and all BCDZ Superior and excellent according to the regional map data packet DT and the position information P, so as to obtain the following path set T:
；
Wherein ACDZ Inferior grade k represents the kth ACDZ Inferior grade ,BCDZ Superior and excellent n represents the nth BCDZ Superior and excellent , and the set Representing the shortest path X between kth ACDZ Inferior grade to nth BCDZ Superior and excellent ;
C3, the processing module performs ascending arrangement on all the shortest paths X in the set T according to the path distance, and when the distances of two or more than two shortest paths X are equal in the arrangement process, the arrangement sequence of the two or more than two shortest paths X is arbitrarily determined;
C4, a processing module firstly determines shortest paths X of a first name in ascending arrangement, then performs rejection work in the rest shortest paths X in ascending arrangement, rejects shortest paths X taking any one of a target charging pile CDZ of a starting point of the determined shortest paths X and a target charging pile CDZ of a terminal point as the starting point or the terminal point, continuously determines shortest paths X of a second name in the rest ascending arrangement after the rejection is finished, continuously rejects shortest paths X taking any one of the target charging pile CDZ of the starting point of the determined shortest paths X and the target charging pile CDZ of the terminal point as the starting point or the terminal point after the determination, and sequentially performs subsequent determination work and rejection work according to ascending arrangement sequence until only the determined shortest paths X remain in ascending arrangement;
And C5, the processing module makes an adjustment report according to the final remaining determined shortest path X in the ascending order, the target charging piles which are mutually exchanged in the adjustment report are the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X, and the position data P of the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X are reported.
The steps described above may include, for an illustrative application, the following:
setting the classification duration value SD as 10h, wherein target charging piles CDZ larger than 10h are E1 and F2, the two target CDZ are ACDZ, the target charging piles CDZ smaller than or equal to 10h are E2, E3 and F1, and the three target charging piles CDZ are BCDZ;
Setting the maximum value JKmax of the health coefficient of the charging pile to be 0.17, and knowing that F2 is ACDZ Inferior grade
Setting the minimum value JKmin of the health coefficient of the charging pile to be 0.15, and knowing that E3 and F1 are BCDZ Superior and excellent ;
Then the position acquisition module is used for respectively acquiring the position information P of F2, E3 and F1, and the execution module is used for acquiring the regional map data packet DT，/>And (5) sequencing in ascending order to obtain: /(I)，/>; Thus the path distance is smallFirstly, determining and then eliminating a shortest path X taking any one of F2 and F1 as a shortest path starting point or an end point in ascending order;
and further obtaining an adjustment report, and determining the shortest path by the adjustment report Therefore, the position of the charging pile F2 and the position of the charging pile F1 need to be exchanged by the operator, and the adjustment report is in the form of the following table 2 with the position information P1 and P2 of the charging pile F1 and the charging pile F2 attached at the same time:
TABLE 2
And in step B4, an adjustment report is made, wherein the adjustment report specifically has three conditions, namely the following conditions:
case one: the same number of ACDZs Inferior grade and BCDZ Superior and excellent , all ACDZs Inferior grade and all BCDZ Superior and excellent can be exchanged;
And a second case: if the number of ACDZ Inferior grade is greater than BCDZ Superior and excellent , the ACDZ Inferior grade remains after the adjustment report is generated, and if so, the remaining ACDZ Inferior grade is directly replaced by a new charging pile;
And a third case: the number of ACDZ Inferior grade is less than BCDZ Superior and excellent , and all ACDZ Inferior grade can be adjusted according to the adjustment report.
The charging pile maintainer finds ACDZ Inferior grade and BCDZ Superior and excellent , which need to be subjected to position exchange in the report content through the adjustment report output by the execution module, exchanges according to the pairing result of the adjustment report, and can conveniently find the position of the charging pile by referring to the position data P given by the adjustment report.
Referring to fig. 5 and 6, the difference between the present embodiment and the first embodiment is that the execution module further includes a map update module, and the map update module communicates with the server in real time through the internet to update the regional map data packet DT in the storage module in real time.
In summary, the new energy automobile charging pile operation data analysis management system based on big data is convenient for guiding executors to change the operation positions of the charging piles, so that healthier charging piles can always operate on charging parking spaces with higher charging time, unhealthy charging piles can operate on charging parking spaces with lower charging time, the situation that frequent maintenance of charging piles with poor health conditions on the charging parking spaces with higher charging time causes great influence on the use of the charging piles is continuously avoided, and meanwhile, the situation that the charging piles with better health conditions on the charging parking spaces with lower charging time cause waste on the performance of the charging piles is continuously avoided.
And all that is not described in detail in this specification is well known to those skilled in the art.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The utility model provides a new energy automobile fills electric pile operation data analysis management system based on big data, its characterized in that includes data acquisition module and execution module, data acquisition module adopts regional target to fill electric pile CDZ' S use data S, and execution module obtains and uses data S to calculate and makes regional target and fills electric pile CDZ adjustment report, specifically includes:
a1, a data acquisition module records use data S of a target charging pile CDZ, wherein the use data S comprises historical charging total duration LH of the target charging pile CDZ, total number of shell-removing maintenance WZ of the target charging pile CDZ in a statistical period Z and charging duration ZH of the target charging pile CDZ in the statistical period Z;
a2, the execution module calculates a charging pile health coefficient JK of the target charging pile CDZ according to the use data S, and compares the charging pile health coefficients JK of the target charging piles CDZ to make a target charging pile CDZ adjustment report in the area;
The execution module comprises three sub-modules which are respectively a processing module, a storage module and a position acquisition module;
The health coefficient JK of the charging pile is calculated by adopting the following formula:
；
wherein a is an influence coefficient of LH, WS is a maintenance coefficient of a target charging pile CDZ in a statistical period Z, and WH is a set duration of the statistical period Z;
The step A2 specifically comprises the following steps:
b1, setting a classification duration value SD of a target charging pile CDZ through a processing module, screening out target charging piles CDZ with the charging duration ZH in a statistical period Z being greater than the classification duration value SD in an area, marking the target charging piles CDZ as ACDZ, screening out target charging piles CDZ with the charging duration ZH in the statistical period Z being less than or equal to the classification duration value SD in the area, and marking the target charging piles CDZ as BCDZ;
B2, setting a maximum value JKmax of the health coefficient of the charging pile through a processing module, and screening ACDZ of which the health coefficient JK of the charging pile is greater than the maximum value JKmax of the health coefficient of the charging pile by an execution module, wherein the ACDZ is recorded as ACDZ Inferior grade ;
B3, setting a minimum value JKmin of the health coefficient of the charging pile through a processing module, and screening BCDZ, namely BCDZ Superior and excellent , of the health coefficient JK of the charging pile, which is smaller than the minimum value JKmin of the health coefficient of the charging pile, by an execution module;
and B4, the processing module combines the regional map data packet DT stored by the storage module to make an adjustment report of changing BCDZ Superior and excellent by the ACDZ Inferior grade and outputs the adjustment report to an executive.
2. The new energy automobile fills electric pile operation data analysis management system based on big data of claim 1, wherein: in the step B4, the processing module makes an adjustment report according to the path nearby principle, and specifically includes the following steps:
The method comprises the steps that C1, a position acquisition module acquires position information P of all ACDZ Inferior grade and BCDZ Superior and excellent ;
And C2, the processing module sequentially obtains the shortest paths X between each ACDZ Inferior grade and all BCDZ Superior and excellent according to the regional map data packet DT and the position information P, so as to obtain the following path set T:
；
Wherein ACDZ Inferior grade k represents the kth ACDZ Inferior grade ,BCDZ Superior and excellent n represents the nth BCDZ Superior and excellent , and the set Representing the shortest path X between kth ACDZ Inferior grade to nth BCDZ Superior and excellent ;
C3, the processing module performs ascending arrangement on all the shortest paths X in the set T according to the path distance, and when the distances of two or more than two shortest paths X are equal in the arrangement process, the arrangement sequence of the two or more than two shortest paths X is arbitrarily determined;
C4, a processing module firstly determines shortest paths X of a first name in ascending arrangement, then performs rejection work in the rest shortest paths X in ascending arrangement, rejects shortest paths X taking any one of a target charging pile CDZ of a starting point of the determined shortest paths X and a target charging pile CDZ of a terminal point as the starting point or the terminal point, continuously determines shortest paths X of a second name in the rest ascending arrangement after the rejection is finished, continuously rejects shortest paths X taking any one of the target charging pile CDZ of the starting point of the determined shortest paths X and the target charging pile CDZ of the terminal point as the starting point or the terminal point after the determination, and sequentially performs subsequent determination work and rejection work according to ascending arrangement sequence until only the determined shortest paths X remain in ascending arrangement;
And C5, the processing module makes an adjustment report according to the final remaining determined shortest path X in the ascending order, the target charging piles which are mutually exchanged in the adjustment report are the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X, and the position data P of the target charging pile CDZ of the starting point and the target charging pile CDZ of the end point of the determined shortest path X are reported.
3. The new energy automobile fills electric pile operation data analysis management system based on big data of claim 2, characterized in that: in the step B4, there are three specific cases, which are as follows:
case one: the same number of ACDZs Inferior grade and BCDZ Superior and excellent , all ACDZs Inferior grade and all BCDZ Superior and excellent can be exchanged;
And a second case: if the number of ACDZ Inferior grade is greater than BCDZ Superior and excellent , the ACDZ Inferior grade remains after the adjustment report is generated, and if so, the remaining ACDZ Inferior grade is directly replaced by a new charging pile;
And a third case: the number of ACDZ Inferior grade is less than BCDZ Superior and excellent , and all ACDZ Inferior grade can be adjusted according to the adjustment report.
4. The new energy automobile fills electric pile operation data analysis management system based on big data of claim 1, wherein: the total number WZ of the shell-removing maintenance in the statistical period Z is specifically the number of times of the shell of the target charging pile CDZ to be detached for maintenance in the statistical period Z.
5. The new energy automobile fills electric pile operation data analysis management system based on big data of claim 1, wherein: the execution module further comprises a map updating module which is arranged below, the map updating module is communicated with the server in real time through the Internet, and the regional map data packet DT in the storage module is updated in real time.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410258484.3A CN117853274B (en) | 2024-03-07 | 2024-03-07 | New energy automobile fills electric pile operation data analysis management system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410258484.3A CN117853274B (en) | 2024-03-07 | 2024-03-07 | New energy automobile fills electric pile operation data analysis management system based on big data |
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| Publication Number | Publication Date |
|---|---|
| CN117853274A CN117853274A (en) | 2024-04-09 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095975A (en) * | 2015-06-30 | 2015-11-25 | 深圳市科陆电子科技股份有限公司 | Electric vehicle charging service intelligent management system and management method |
| CN113815464A (en) * | 2021-10-26 | 2021-12-21 | 广州小鹏汽车科技有限公司 | Charging pile recommendation method and device, vehicle and storage medium |
| CN116894659A (en) * | 2023-05-22 | 2023-10-17 | 深圳市小特新能源有限公司 | Intelligent operation and maintenance management method and system for charging pile, computer equipment and storage medium |
| CN117196078A (en) * | 2023-10-26 | 2023-12-08 | 山东睿振建筑工程有限公司 | New energy automobile fills electric pile operation data analysis management system based on big data |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095975A (en) * | 2015-06-30 | 2015-11-25 | 深圳市科陆电子科技股份有限公司 | Electric vehicle charging service intelligent management system and management method |
| CN113815464A (en) * | 2021-10-26 | 2021-12-21 | 广州小鹏汽车科技有限公司 | Charging pile recommendation method and device, vehicle and storage medium |
| CN116894659A (en) * | 2023-05-22 | 2023-10-17 | 深圳市小特新能源有限公司 | Intelligent operation and maintenance management method and system for charging pile, computer equipment and storage medium |
| CN117196078A (en) * | 2023-10-26 | 2023-12-08 | 山东睿振建筑工程有限公司 | New energy automobile fills electric pile operation data analysis management system based on big data |
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