CN108171386A - A kind of charging station based on vehicle GPRS information builds optimization method - Google Patents
A kind of charging station based on vehicle GPRS information builds optimization method Download PDFInfo
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Abstract
The invention discloses a kind of charging stations based on vehicle GPRS information to build optimization method, includes the following steps：Vehicle GPRS information selected by acquisition in region；Determine the construction number of charging station, charging pile；Selected region is subjected to gridding；Traffic density statistics is carried out to each region after gridding according to vehicle GPRS information；Each region is ranked up according to traffic density, and sequence number is no more than the charging station number set, remaining region is ignored；Traffic density percentage calculation is carried out to each region chosen after sequence；Charging pile number on the region charging station is determined according to the traffic density percentage in each region.The beneficial effects of the invention are as follows：Gridding processing is carried out to selection region, and traffic density statistics is carried out for each region, carries out scientific and reasonable charging station construction, with the utilization rate for reducing stand-by period during Vehicular charging and improving charging pile.
Description
Technical field
The present invention relates to a kind of charging stations based on vehicle GPRS information to build optimization method, belongs to charging station technology neck
Domain.
Background technology
As energy crisis is increasingly deepened, electric vehicle and Internet industry flourish and constantly merge, energy-saving ring
The electric vehicle of guarantor is more and more concerned by people, and becomes one of hot spot of automobile industry development.
More and more electric vehicles are operated among city, also expose many problems, such as how effectively to charging station
The construction address of charging pile proposes to make rational planning for, the daily charging of effective guarantee electric vehicle.At present often because in certain region
More of interior vehicle is few, queuing of charging it is waiting for a long time etc.；Either it is more lack stake for vehicle, a large amount of charging piles free time, causes the wasting of resources.
In the existing scheme to the construction addressing of charging station charging pile, a part is according to corporate business and practical commercial fortune
Row pattern is related and the subjective planning made, and another part is the Correlative plan made according to vehicle information data.Clearly for
The judgement of the first situation has uniqueness, except non-traffic very fixed, most companies all will not preferred this method, but join
It examines data and builds stake rationalize and build a station.At present in the scheme scheme more similar to the present invention, in the presence of calculating complexity, examine
The problem of worry factor is not thorough, for fixed algorithm, it is exactly often to do again once to change a certain parameter, and flexibility is poor,
Cannot closely follow business change, therefore propose the present invention method, simplify calculate and it is flexible and changeable, meet a variety of demands, can be effective
The Vehicular charging demand of all kinds of clients of guarantee company.
Invention content
The goal of the invention of the present invention is：In view of the above problems, a kind of filling based on vehicle GPRS information is provided
Power plant construction optimization method carries out rationally effective programming and distribution to charging station.
The technical solution adopted by the present invention is such：
A kind of charging station based on vehicle GPRS information builds optimization method, includes the following steps：
Vehicle GPRS information selected by step 1), acquisition in region；
Step 2), the construction number for determining charging station, charging pile；
Selected region is carried out gridding by step 3)；
Step 4) carries out traffic density statistics according to vehicle GPRS information to each region after gridding；
Step 5) is ranked up each region according to traffic density, and sequence number is no more than the charging station set
Number, remaining region is ignored；
Step 6) carries out traffic density percentage calculation to each region chosen after sequence；
Step 7) determines the charging pile number on the region charging station according to the traffic density percentage in each region.
Further preferably, in step 1), the latitude and longitude information of all vehicles in pickup area, and invalid data is sieved
Choosing, to improve data accuracy.For example, longitude and latitude is 0 data information, illustrate data exception, it is evident that unavailable.
Further preferably, the specific implementation process of step 3) is：A, the clearly original accurate position M of longitude and latitude degrees of data decimal, such as
2 significant digits are accurate to, then M=100, if being accurate to after decimal point three, M=1000, and so on；B, it utilizes
Bracket function Lon '=[Lon* (M/10)]/(M/10), Lat '=[Lat* (M/10)]/(M/10) by original longitude and latitude degrees of data into
Line number value, which expands to obtain, calculates longitude and latitude numerical value；C, longitude and latitude numerical value will be calculated and subtracts original longitude and latitude numerical value, obtain expanding number
Value Lon-Lon ', Lat-Lat '；D, (Lon-Lon ') * 100, (Lat-Lat ') * 100 is utilized to obtain actual interval public affairs between charging station
Mileage.
If the vigorous region of region charge requirement, have and concentrated certainly in follow-up build.Here to avoid emphasis
The problem of region excessively concentrates and neighboring area is caused to be weakened can flexibly set variable value an A, A to represent each charging station most
Closely-spaced distance.More than numerical value is brought into algorithm, realizes the flexible division to region.
Further preferably, in step 4), in calculating vehicle density, grade classification is carried out also according to the speed of vehicle, it is right
Vehicle data under different speeds is counted, to meet different business demands.For example, vehicle speed selection is in low speed segment
When, decide whether to need to set charging pile in the region by checking the position distribution of vehicle；Vehicle is in 0 speed section
When, auxiliary checks the position distribution that vehicle is usually guaranteed to keep in good repair, can be according to actual interpolation office after sale；It is auxiliary in other speed sections
Help the position distribution for checking that vehicle beats tooth problem, analysis vehicle beats whether tooth with vehicle present position have relationship etc..
Further preferably, in step 5), after each region ordering, color mark is carried out on actual effect figure, realizes number
According to visualization.During color marks, it can be distinguished by different colours and shade.Sequence and color mark it
Afterwards as a result, can be shown by big data visual analyzing software Tableau, in mobile terminals such as web terminal, mobile phone, tablets
On can all check, greatly meet modern enterprise people checks custom, helps to carry out data analysis in time.
After being realized by big data visual analyzing software, can explicitly it know in setting regions very much, which region needs
Build charging station, also, charging station number, charging pile number, region spacing distance, the parameters such as vehicle speed in region
It is flexible and changeable with free conversion, it is not only applicable to the construction of charging station, it can also be used to which the basis instruments such as vehicle maintenance station are built
If in, more it is recommended that it is by big data analysis system, convenient and efficient, each demand, millisecond rank can be realized.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：Grid is carried out to selection region
Change is handled, and carries out traffic density statistics for each region, scientific and reasonable charging station construction is carried out, to reduce Vehicular charging
When stand-by period and improve charging pile utilization rate.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings, the present invention is described in detail.
As shown in Figure 1, a kind of charging station based on vehicle GPRS information builds optimization method, include the following steps：
Vehicle GPRS information selected by step 1), acquisition in region.In step 1), the warp of all vehicles in pickup area
Latitude information, and invalid data is screened, to improve data accuracy.For example, longitude and latitude is 0 data information, explanation
Data exception, it is evident that unavailable.
Step 2), the construction number for determining charging station, charging pile.
Selected region is carried out gridding by step 3).The specific implementation process of step 3) is：
A, the clearly original accurate position M of longitude and latitude degrees of data decimal, is such as accurate to 2 significant digits, then M=100, if smart
Really to three after decimal point, then M=1000, and so on；B, using bracket function Lon '=[Lon* (M/10)]/(M/10),
Original longitude and latitude degrees of data progress numerical value is expanded to obtain by Lat '=[Lat* (M/10)]/(M/10) calculates longitude and latitude numerical value；C, will
It calculates longitude and latitude numerical value and subtracts original longitude and latitude numerical value, obtain expanding numerical value Lon-Lon ', Lat-Lat '；D, (Lon- is utilized
Lon ') * 100, (Lat-Lat ') * 100 obtain actual interval milimeter number between charging station.
Step 4) carries out traffic density statistics according to vehicle GPRS information to each region after gridding.Further preferably,
In step 4), in calculating vehicle density, grade classification is carried out also according to the speed of vehicle, to the vehicle data under different speeds
It is counted.Section distribution, wherein δ ∈ (0, θ) are carried out to speed with parameter δ, θ values can be adjusted arbitrarily, and θ≤maxV.For example,
Vehicle velocity VmaxVehicle speed intervals are then distributed as by=100, δ=10：10,20,30,40 ..., 100.10 represent that 0 to 10,20 represent
10 to 20, and so on.
Step 5) is ranked up each region according to traffic density, and sequence number is no more than the charging station set
Number, remaining region is ignored.Further preferably, in step 5), after each region ordering, color mark is carried out on actual effect figure
Note realizes data visualization.
Step 6) carries out traffic density percentage calculation to each region chosen after sequence.
Step 7) determines the charging pile number on the region charging station according to the traffic density percentage in each region.
Claims (5)
1. a kind of charging station based on vehicle GPRS information builds optimization method, it is characterised in that includes the following steps：
Vehicle GPRS information selected by step 1), acquisition in region；
Step 2), the construction number for determining charging station, charging pile；
Selected region is carried out gridding by step 3)；
Step 4) carries out traffic density statistics according to vehicle GPRS information to each region after gridding；
Step 5) is ranked up each region according to traffic density, and sequence number is no more than the charging station number set,
Ignore in remaining region；
Step 6) carries out traffic density percentage calculation to each region chosen after sequence；
Step 7) determines the charging pile number on the region charging station according to the traffic density percentage in each region.
2. a kind of charging station based on vehicle GPRS information according to claim 1 builds optimization method, it is characterised in that：
In step 1), the latitude and longitude information of all vehicles in pickup area, and invalid data is screened.
3. a kind of charging station based on vehicle GPRS information according to claim 1 builds optimization method, which is characterized in that
The specific implementation process of step 3) is：
A, the clearly original accurate position M of longitude and latitude degrees of data decimal, is such as accurate to 2 significant digits, then M=100, if be accurate to
Three after decimal point, then M=1000, and so on；
B, using bracket function Lon '=[Lon* (M/10)]/(M/10), Lat '=[Lat* (M/10)]/(M/10) by original warp
Latitude data carries out numerical value and expands to obtain calculating longitude and latitude numerical value；
C, longitude and latitude numerical value will be calculated and subtracts original longitude and latitude numerical value, obtain expanding numerical value Lon-Lon ', Lat-Lat '；
D, (Lon-Lon ') * 100, (Lat-Lat ') * 100 is utilized to obtain actual interval milimeter number between charging station.
4. a kind of charging station based on vehicle GPRS information according to claim 1 builds optimization method, it is characterised in that：
In step 4), in calculating vehicle density, grade classification is carried out also according to the speed of vehicle, to the vehicle data under different speeds
It is counted.
5. a kind of charging station based on vehicle GPRS information according to claim 1 builds optimization method, it is characterised in that：
In step 5), after each region ordering, color mark is carried out on actual effect figure, realizes data visualization.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810029357.0A CN108171386A (en) | 2018-01-11 | 2018-01-11 | A kind of charging station based on vehicle GPRS information builds optimization method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751356A (en) * | 2018-12-07 | 2020-02-04 | 北京嘀嘀无限科技发展有限公司 | Service equipment address selection method and device |
| CN112559650A (en) * | 2019-09-26 | 2021-03-26 | 深圳市赛格车圣智联科技有限公司 | Method for drawing automobile geographical position distribution map |
| CN114579680A (en) * | 2020-11-30 | 2022-06-03 | 深圳市赛格导航科技股份有限公司 | Method and device for drawing vehicle geographic position distribution map and storage medium |
| CN114583709A (en) * | 2022-05-05 | 2022-06-03 | 江苏腾源智能科技有限公司 | Electric power safety monitoring system of parking lot charging circuit |
| CN116777517A (en) * | 2023-07-27 | 2023-09-19 | 苏州德博新能源有限公司 | Battery box position determining method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110751356A (en) * | 2018-12-07 | 2020-02-04 | 北京嘀嘀无限科技发展有限公司 | Service equipment address selection method and device |
| CN112559650A (en) * | 2019-09-26 | 2021-03-26 | 深圳市赛格车圣智联科技有限公司 | Method for drawing automobile geographical position distribution map |
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| CN114583709A (en) * | 2022-05-05 | 2022-06-03 | 江苏腾源智能科技有限公司 | Electric power safety monitoring system of parking lot charging circuit |
| CN116777517A (en) * | 2023-07-27 | 2023-09-19 | 苏州德博新能源有限公司 | Battery box position determining method |
| CN116777517B (en) * | 2023-07-27 | 2024-06-04 | 苏州德博新能源有限公司 | Battery box position determining method |
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