CN114418404A - Charging station recommendation method, charging station recommendation device, electronic device, medium, and program product - Google Patents
Charging station recommendation method, charging station recommendation device, electronic device, medium, and program product Download PDFInfo
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Abstract
The application provides a charging station recommendation method, a charging station recommendation device, an electronic device, a medium and a program product. The method comprises the following steps: receiving a charging station recommendation request, wherein the charging station recommendation request comprises a target position; determining a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position; dividing the charging stations in each distance interval into a charging station set, and sequencing the charging station sets according to the distance intervals from near to far to generate a first sequencing result; scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scoring height, and generating a second sorting result of each charging station set; and recommending the charging station to the user according to the first sequencing result and the second sequencing result. The effectiveness of charging station recommendation is improved.
Description
Technical Field
The present application relates to communications technologies, and in particular, to a charging station recommendation method, apparatus, electronic device, medium, and program product.
Background
Along with the progress of scientific technology and the rapid development of the new energy automobile industry, the charging pile is used as an oiling machine of the new energy automobile, is installed in markets, residential area parking lots and other charging stations, and is used for charging new energy automobiles of various models according to different voltage levels and different charging modes, so that the guarantee is provided for the power system of the new energy automobile. The user is at the trip in-process, and new energy automobile probably has the demand of charging, consequently, requires more and more to the reliability of filling the effective inquiry of electric pile.
In the prior art, a user usually queries a charging station near a new energy vehicle through some Application programs (APPs), applets, map Application software and other approaches, and the user can select a suitable charging station to charge the new energy vehicle by displaying the position of the charging station on a map.
However, the recommendation method for the charging station in the prior art is poor in effectiveness.
Disclosure of Invention
The application provides a charging station recommendation method, a charging station recommendation device, electronic equipment, a medium and a program product, which are used for solving the technical problem of poor effectiveness of a charging station recommendation method in the prior art.
In a first aspect, the present application provides a charging station recommendation method, including:
receiving a charging station recommendation request, wherein the charging station recommendation request comprises a target position, and the target position is the current position of a user or the setting position of the user. Determining a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position; dividing the charging stations in each distance interval into a charging station set, and sequencing the charging station sets according to the distance intervals from near to far to generate a first sequencing result; scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scoring height, and generating a second sorting result of each charging station set; and recommending the charging station to the user according to the first sequencing result and the second sequencing result.
In the embodiment of the application, a plurality of charging stations within a preset distance range from a target position are divided into a plurality of charging station sets according to a distance interval between the charging stations and the target position, the charging station sets are sorted according to the distance between the charging station sets and the target position, the charging stations in each charging station set are sorted according to a preset grading rule, then the charging stations are recommended to a user according to a sorting result, when the charging stations are recommended to the user, the distance between the charging stations is considered, the comprehensive factors of the charging stations are also considered, and the recommendation effectiveness of the charging stations is improved.
In a possible implementation manner, the charging station recommendation method provided in an embodiment of the present application scores charging stations in each charging station set according to a preset scoring rule, and includes:
determining a grading rule of each grading factor by using a preset grading rule; acquiring data of each scoring factor of the charging station; determining the grade of the grading factor data by using the data of the grading factors and the grading rule of the grading factors aiming at each grading factor; and accumulating the scores of all the scoring factors to determine the score of the charging station.
In the embodiment of the application, each scoring factor is scored by utilizing the preset scoring rule, then the scoring of each scoring factor is accumulated, the determination of comprehensive scoring of the charging station is realized, the scoring reliability of the charging station is guaranteed, the ranking reliability of the charging station is further improved, and the user experience is enhanced.
In a possible implementation manner, the charging station recommendation method provided in an embodiment of the present application, before acquiring data of each scoring factor of a charging station, further includes:
and receiving a charging event of the charging station, and counting the data of each scoring factor of the charging station.
In the embodiment of the application, through receiving the charging event of the charging station, the data of each scoring factor of the charging station are counted, and the scoring of the charging station is smoothly carried out.
In a possible implementation manner, in the charging station recommendation method provided by the embodiment of the present application, the scoring factors include one or more of the following: the amount of charged orders, or the amount of closed orders.
Receiving a charging event of the charging station, and counting data of each scoring factor of the charging station, wherein the data comprises the following steps:
receiving a creation order event of a charging station, and adding 1 to the number of charging orders of the charging station; and/or receiving a closing order event of the charging station, and adding 1 to the closing order number of the charging station; and/or receiving an end charging event of the charging station, and counting the charging amount.
In a possible implementation manner, in the charging station recommendation method provided by the embodiment of the application, the scoring factors may further include one or more of the following:
distance from target location, charging price, number of guns that are idle on a charging station, charging voltage, or charging pattern.
In a possible implementation manner, the charging station recommendation method provided in this embodiment of the present application recommends a charging station to a user according to a first ranking result and a second ranking result, including:
and recommending a target charging station set to the user according to the first sequencing result of the charging station set, sequencing the charging stations in the target charging station set according to the second sequencing result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
The charging station recommendation device, the electronic device, the computer-readable storage medium, and the computer program product provided in the embodiments of the present application are described below, and the contents and effects thereof may refer to the charging station recommendation method provided in the embodiments of the present application, and are not described again.
In a second aspect, the present application provides a charging station recommendation device, comprising:
the charging station recommendation system comprises a receiving module and a processing module, wherein the receiving module is used for receiving a charging station recommendation request, the charging station recommendation request comprises a target position, and the target position is the current position of a user or the setting position of the user.
The determining module is used for determining a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position.
The first sequencing module is used for dividing the charging stations in each distance interval into a charging station set, and sequencing the charging station sets according to the distance intervals from near to far to generate a first sequencing result.
And the second sorting module is used for respectively grading the charging stations in each charging station set according to a preset grading rule, sorting the charging stations in each charging station set according to the grading height, and generating a second sorting result of each charging station set.
And the recommending module is used for recommending the charging station to the user according to the first sequencing result and the second sequencing result.
In a possible implementation manner, the charging station recommendation apparatus provided in an embodiment of the present application, the second sorting module, is specifically configured to:
determining a grading rule of each grading factor by using a preset grading rule; acquiring data of each scoring factor of the charging station; determining the grade of the grading factor data by using the data of the grading factors and the grading rule of the grading factors aiming at each grading factor; and accumulating the scores of all the scoring factors to determine the score of the charging station.
In a possible implementation manner, the charging station recommendation apparatus provided in an embodiment of the present application further includes:
and the counting module is used for receiving the charging events of the charging station and counting the data of each scoring factor of the charging station.
In a possible implementation manner, in the charging station recommendation device provided by the embodiment of the present application, the scoring factors include one or more of the following: the amount of charged orders, or the amount of closed orders.
The statistic module is specifically configured to:
receiving a creation order event of a charging station, and adding 1 to the number of charging orders of the charging station; and/or receiving a closing order event of the charging station, and adding 1 to the closing order number of the charging station; and/or receiving an end charging event of the charging station, and counting the charging amount.
In a possible implementation manner, in the charging station recommendation apparatus provided in an embodiment of the present application, the scoring factors may further include one or more of the following:
distance from target location, charging price, number of guns that are idle on a charging station, charging voltage, or charging pattern.
In a possible implementation manner, the charging station recommendation apparatus provided in an embodiment of the present application, the recommendation module, is specifically configured to:
and recommending a target charging station set to the user according to the first sequencing result of the charging station set, sequencing the charging stations in the target charging station set according to the second sequencing result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes the computer-executable instructions stored by the memory to implement the charging station recommendation method provided by the first aspect or the first aspect implementable manner.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, the computer-executable instructions are used to implement the charging station recommendation method according to the first aspect or the implementable manner of the first aspect.
In a fifth aspect, the present application provides a computer program product, which includes computer executable instructions, and the computer executable instructions are executed by a processor to implement the charging station recommendation method as provided in the first aspect or the first aspect implementation manner.
According to the charging station recommendation method, the charging station recommendation device, the electronic equipment, the medium and the program product, a charging station recommendation request is received, the charging station recommendation request comprises a target position, the target position is the current position of a user or the setting position of the user, and then a plurality of charging stations in a preset distance range of the target position and a distance interval between each charging station and the target position are determined; the charging stations in each distance interval are divided into a charging station set, and the charging station sets are sorted according to the distance intervals from near to far to generate a first sorting result; then scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scored heights, and generating a second sorting result of each charging station set; and finally, recommending the charging station to the user according to the first sequencing result and the second sequencing result. The charging stations in the charging station set are firstly divided into a plurality of charging station sets according to the distance interval between the charging stations and the target position within the preset distance range from the target position, the charging station sets are sorted according to the distance between the charging station sets and the target position, then the charging stations in each charging station set are sorted according to the preset grading rule, and the charging stations are recommended to a user according to the sorting result.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is an exemplary application scenario architecture diagram provided by an embodiment of the present application;
fig. 2 is a schematic flowchart of a charging station recommendation method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a nearby charging station provided by an embodiment of the present application;
fig. 4 is an interface schematic diagram of a terminal device provided in an embodiment of the present application;
fig. 5 is a schematic view illustrating a scoring flow of a charging station recommendation method according to another embodiment of the present application;
fig. 6 is a schematic structural diagram of a charging station recommendation device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a charging station recommendation device according to another embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terms "first" and "second" in the description and claims of the present application and the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Along with the progress of scientific technology and the rapid development of the new energy automobile industry, the charging pile is used as an oiling machine of the new energy automobile, is installed in markets, residential area parking lots and other charging stations, and is used for charging new energy automobiles of various models according to different voltage levels and different charging modes, so that the guarantee is provided for the power system of the new energy automobile. The user is at the trip in-process, and new energy automobile probably has the demand of charging, consequently, requires more and more to the reliability of filling the effective inquiry of electric pile. In the prior art, a user usually inquires about a charging station near a new energy automobile through some APP, small programs, map application software and other approaches, and the user can charge the new energy automobile by selecting a proper charging station through the position of the charging station which can be displayed on a map. However, the recommendation method for the charging station in the prior art is poor in effectiveness.
In order to solve the technical problem, the charging station recommendation method, the charging station recommendation device, the electronic device, the medium, and the program product provided in the embodiments of the present application are configured to divide a plurality of charging stations within a preset distance range from a target location into a plurality of charging station sets according to a distance interval between the charging station sets and the target location, sort the plurality of charging station sets according to a distance between the charging station sets and the target location, sort the charging stations in each charging station set according to a preset scoring rule, and recommend charging stations to a user according to a sorting result.
An exemplary application scenario of the embodiments of the present application is described below.
The charging station recommendation method provided by the embodiment of the application can be executed by the charging station recommendation device provided by the embodiment of the application, and the charging station recommendation device provided by the embodiment of the application can be integrated on a server, or the charging station recommendation device can be the server itself. The embodiment of the present application does not limit the specific type of the server.
Fig. 1 is an exemplary application scenario architecture diagram provided in an embodiment of the present application, and as shown in fig. 1, the architecture mainly includes: terminal device 11 (smartphone) and server 12. The charging station recommendation request of the user is obtained through a client or an applet of the terminal device 11, for example, the charging station recommendation request may be implemented by receiving a touch operation of the user on a virtual key of "a nearby charging station", and sending the charging station recommendation request to the server 12, where the charging station recommendation request includes a target position, and the target position may be a current position of the user or a setting position set by the user through input or selection, and then the charging station recommendation request is processed by the server 12, a plurality of charging stations within a preset range of the target position are determined, and the plurality of charging stations are sorted and then pushed to the terminal device. The embodiments of the present application are merely examples, and are not limited thereto. For example, the terminal device may also be a vehicle-mounted terminal, a tablet computer, or the like.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating a charging station recommendation method according to an embodiment of the present application, where the charging station recommendation method may be executed by a charging station recommendation device, where the charging station recommendation device may be implemented by software and/or hardware, and the charging station recommendation method is described below with a server as an executing entity. As shown in fig. 2, a charging station recommendation method provided in an embodiment of the present application may include:
step S101: and receiving a charging station recommendation request, wherein the charging station recommendation request comprises a target position.
When the new energy automobile has a charging demand, the charging station of the accessory needs to be inquired under the conditions that the new energy automobile is driven to an area which is not familiar to a user, or the position of the charging station of the accessory is not clear, and the like, and then the new energy automobile is charged through the charging station of the accessory. The embodiment of the application takes the example that a user inquires a charging station through a mobile phone APP as an example for explanation.
The user sends a charging station recommendation request to the server through the mobile phone APP, wherein the charging station recommendation request comprises a target position, and the target position can be the current position of the user or the setting position of the user. For example, if the target position is the current position of the user, when the mobile phone receives an instruction that the user inquires a nearby charging station, the current position of the user can be determined by simultaneously acquiring the positioning of the mobile phone, and a charging station recommendation request is generated; for another example, if the target position is a setting position of the user, the setting position may be selected or input by the user operating the mobile phone, and the charging station recommendation request may be generated with the setting position as the target position. The server receives the charging station recommendation request and acquires a target position in the charging station recommendation request.
Step S102: a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position are determined.
The server receives the charging station recommendation request and acquires a target position in the charging station recommendation request. Then, a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position are determined.
For convenience of description, fig. 3 is a schematic view of nearby charging stations according to an embodiment of the present disclosure, and as shown in fig. 3, the preset distance range may be a circle with a target position as a center and a preset distance as a radius, and a plurality of charging stations exist within the preset distance range of the target position. Because the user can carry out the key consideration to the distance of charging station when selecting the charging station, if too far away from the charging station, the vehicle makes a round trip to spend time and traffic cost higher, through setting up preset distance scope, screens the charging station far away from, improves the validity of charging station. In this embodiment of the present application, only the preset distance range shown in fig. 3 is taken as an example for description, and in another possible implementation, the preset distance range may be further divided by other manners, for example, the preset distance range may be further divided by administrative areas, and the like, which is not limited in this embodiment of the present application. In addition, the preset distance is not limited in the embodiment of the present application, for example, the preset distance may be 3 kilometers, 5 kilometers, and the like.
The distance between each charging station and the target position is different, and in the embodiment of the application, the preset distance range is divided into a plurality of distance intervals again. Fig. 3 only illustrates an example of dividing the preset distance range into three distance intervals, for example, the preset distance is 3 kilometers, the first distance interval is an area 1 kilometer from the target position, the second distance interval is an area 1 kilometer to 2 kilometers from the target position, and the third distance interval is an area 2 kilometers to 3 kilometers from the target position.
Step S103: and dividing the charging stations in each distance interval into a charging station set, and sequencing the charging station sets according to the distance intervals from near to far to generate a first sequencing result.
In this embodiment, charging stations in each distance interval are divided into a charging station set, as shown in fig. 3, charging stations in a first distance interval are taken as first charging stations, all first charging stations are taken as the first charging station set, similarly, charging stations in a second distance interval are taken as second charging stations, all second charging stations are taken as the second charging station set, charging stations in a third distance interval are taken as third charging stations, and all third charging stations are taken as the third charging station set. The charging station sets are sorted according to the distance interval from near to far, and a first sorting result is generated, and the first sorting result is, for example, as shown in fig. 3, the first charging station set, the second charging station set, and the third charging station set in sequence.
Step S104: and scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scored heights, and generating a second sorting result of each charging station set.
After each charging station set is determined, scoring is performed on the charging stations in each charging station set according to a preset scoring rule, taking fig. 3 as an example, scoring and sorting are performed on a plurality of first charging stations according to the preset scoring rule, scoring and sorting are performed on a plurality of second charging stations, scoring and sorting are performed on a plurality of third charging stations, and a second sorting result of each charging station set is generated.
The embodiment of the application does not limit the preset scoring rules in each charging station set, and different preset scoring rules can be adopted for different charging station sets, the same preset scoring rules can also be adopted, and the preset scoring rules can be specifically set according to user requirements.
Step S105: and recommending the charging station to the user according to the first sequencing result and the second sequencing result.
After determining the first and second ranking results of the charging station sets, the charging stations may be recommended to the user according to the first and second ranking results, in one possible embodiment, the plurality of charging station sets may be ranked according to the first ranking result first, as shown in fig. 3 as an example, wherein a plurality of first charging stations are ranked before a plurality of second charging stations, a plurality of second charging stations are ranked before a plurality of third charging stations, and the plurality of first charging stations are ranked according to the second ranking result of the first charging station set, the plurality of second charging stations are ranked according to the second ranking result of the second charging station set, and the plurality of third charging stations are ranked according to the second ranking result of the third charging station set. And recommending the charging station to the user according to the sequence.
In a possible implementation manner, fig. 4 is an interface schematic diagram of a terminal device provided in an embodiment of the present application, and as shown in fig. 4, the terminal device (mobile phone) receives charging station recommendation information of a server, and displays a recommended charging station to a user through a display interface. In the embodiment of the present application, only the example shown in fig. 4 is taken, each charging station set includes 3 charging stations, and the charging stations are recommended to the user according to the sorting result, specifically refer to fig. 4, which is not described again in the embodiment of the present application.
The charging stations may be located in a preset distance range of the target location, and for some charging stations, the charging stations may be located far from the target location, or a road leading to the charging stations is inconvenient, or the damage rate of the charging stations is high, and the charging stations may be selected from among the plurality of charging stations, and recommended to the user. In a possible implementation manner, the charging station recommendation method provided in this embodiment of the application, recommending a charging station to a user according to the first ranking result and the second ranking result, may include:
and recommending a target charging station set to the user according to the first sequencing result of the charging station set, sequencing the charging stations in the target charging station set according to the second sequencing result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
Taking fig. 3 as an example, if the charging station sets include three charging station sets, the target charging station set may include a first charging station set and a second charging station set, and may specifically be determined according to the number of charging stations in the charging station sets, for example, if the number of charging stations in the first charging station set exceeds a preset number, or if the number of charging stations in the first charging station set exceeds a preset number, only charging stations in the first charging station set may be recommended to the user, or the preset number of charging stations in the first charging station set may also be recommended to the user. The embodiment of the present application does not limit this.
In the embodiment of the application, a plurality of charging stations within a preset distance range from a target position are divided into a plurality of charging station sets according to a distance interval between the charging stations and the target position, the charging station sets are sorted according to the distance between the charging station sets and the target position, the charging stations in each charging station set are sorted according to a preset grading rule, then the charging stations are recommended to a user according to a sorting result, when the charging stations are recommended to the user, the distance between the charging stations is considered, the comprehensive factors of the charging stations are also considered, and the recommendation effectiveness of the charging stations is improved.
On the basis of the embodiment shown in fig. 2, in a possible implementation manner, fig. 5 is a schematic diagram of a scoring flow of a charging station recommendation method provided in another embodiment of the present application, where the method may be executed by a charging station recommendation device, the device may be implemented by software and/or hardware, and the charging station recommendation method is described below with a server as an execution subject, as shown in fig. 5, in the charging station recommendation method provided in this embodiment of the present application, scoring charging stations in each charging station set according to a preset scoring rule in step S104, which may include:
step S201: and determining the scoring rule of each scoring factor by using a preset scoring rule.
Step S202: and acquiring data of each scoring factor of the charging station.
Step S203: and determining the grade of the scoring factor data by using the data of the scoring factors and the scoring rule of the scoring factors aiming at each scoring factor.
Step S204: and accumulating the scores of all the scoring factors to determine the score of the charging station.
The comprehensive consideration of each charging station can be realized through different scoring factors, the number and the types of the scoring factors are not limited in the embodiment of the application, and in a possible implementation manner, the scoring factors of the charging station recommendation method provided by the embodiment of the application can be one or more of the following: the number of charging orders, the amount of charging, the number of closing orders, the distance to the target position, the price of charging, the number of guns that are free in the charging station, the voltage of charging, or the charging mode.
For each scoring factor, a scoring rule corresponding to each scoring factor may be set through a preset scoring rule, and the scoring rule may include a weight ratio of the scoring factor and a coefficient score calculation manner of the scoring factor. For example, the scoring factor is the distance from the target position, the weight ratio is 25%, and the coefficient score is calculated by: the coefficient from 0-0.5km to the target location is 100, and the coefficient from 0.5km to 1km to the target location is 80, so that when the charging station is 0.7km from the target location, the score of the scoring factor of the distance between the charging station and the target location is 80 × 25%, which is 20.
For another example, the scoring factor is the number of charging orders, and the charging orders can be sorted according to the number of charging orders by all charging stations within the preset distance range, wherein the coefficient score may be calculated in such a manner that the coefficient of the top 20% of the ranking is 100, the coefficient of the top 20% -40% of the ranking is 80, and the like, the weight ratio of the number of charging orders is 10%, for example, when the target position has 10 charging stations within the preset distance range, and the number of charging orders of the charging station a is ranked at the 2 nd position, the scoring factor of the number of charging orders of the charging station a is 100 × 10%.
The embodiments of the present application are described only by way of example, wherein the charging amount of orders, the closing amount of orders, and the data in the time range such as within about 3 days, within about 7 days, or within about one month may be specifically set according to actual requirements.
In the embodiment of the application, each scoring factor is scored by utilizing the preset scoring rule, then the scoring of each scoring factor is accumulated, the determination of comprehensive scoring of the charging station is realized, the scoring reliability of the charging station is guaranteed, the ranking reliability of the charging station is further improved, and the user experience is enhanced.
In order to obtain data of each scoring factor, in a possible implementation manner, the charging station recommendation method provided in an embodiment of the present application further includes, before obtaining the data of each scoring factor of the charging station: and receiving a charging event of the charging station, and counting the data of each scoring factor of the charging station.
The embodiment of the present application does not limit the specific implementation manner of receiving the charging event of the charging station and counting the data of each scoring factor of the charging station, and in a possible implementation manner, the embodiment of the present application receives the charging event of the charging station and counts the data of each scoring factor of the charging station, including:
receiving a creation order event of a charging station, and adding 1 to the number of charging orders of the charging station; and/or receiving a closing order event of the charging station, and adding 1 to the closing order number of the charging station; and/or receiving an end charging event of the charging station, and counting the charging amount.
In this application embodiment, can be through receiving the charging station in this application embodiment, through receiving the charging incident of charging station, make statistics of the data of each scoring factor of charging station, guaranteed going on smoothly scoring the charging station.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 6 is a schematic structural diagram of a charging station recommendation device provided in an embodiment of the present application, where the charging station recommendation device may be implemented by software and/or hardware, for example, implemented by a server, as shown in fig. 6, and the charging station recommendation device provided in an embodiment of the present application may include: a receiving module 31, a determining module 32, a first ordering module 33, a second ordering module 34 and a recommending module 35.
The receiving module 31 is configured to receive a charging station recommendation request, where the charging station recommendation request includes a target location, and the target location is a current location of a user or a setting location of the user.
The determining module 32 is configured to determine a plurality of charging stations within a preset distance range of the target location and a distance interval between each charging station and the target location.
The first sorting module 33 is configured to divide the charging stations in each distance interval into a charging station set, and sort the charging station sets according to the distance intervals in a sequence from near to far, so as to generate a first sorting result.
The second sorting module 34 is configured to score the charging stations in each charging station set according to a preset scoring rule, sort the charging stations in each charging station set according to the scored heights, and generate a second sorting result of each charging station set.
And the recommending module 35 is configured to recommend the charging station to the user according to the first sorting result and the second sorting result.
In a possible implementation manner, the charging station recommendation apparatus provided in the embodiment of the present application, the recommendation module 35, is specifically configured to:
and recommending a target charging station set to the user according to the first sequencing result of the charging station set, sequencing the charging stations in the target charging station set according to the second sequencing result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
The apparatus of this embodiment may perform the method embodiment shown in fig. 2, and the technical principle and technical effect are similar to those of the above embodiment, which are not described herein again.
Based on the embodiment shown in fig. 6, further, in a possible implementation manner, the second sorting module 34 of the charging station recommendation apparatus provided in the embodiment of the present application is specifically configured to:
determining a grading rule of each grading factor by using a preset grading rule; acquiring data of each scoring factor of the charging station; determining the grade of the grading factor data by using the data of the grading factors and the grading rule of the grading factors aiming at each grading factor; and accumulating the scores of all the scoring factors to determine the score of the charging station.
On the basis of the embodiment shown in fig. 6, further, fig. 7 is a schematic structural diagram of a charging station recommendation device according to another embodiment of the present application, which may be implemented by software and/or hardware, for example, implemented by a server, as shown in fig. 7, the charging station recommendation device according to the embodiment of the present application may further include a statistics module 36.
And the counting module 36 is used for receiving the charging events of the charging station and counting the data of each scoring factor of the charging station.
In a possible implementation manner, in the charging station recommendation device provided by the embodiment of the present application, the scoring factors include one or more of the following: the amount of charged orders, or the amount of closed orders.
The statistics module 36 is specifically configured to:
receiving a creation order event of a charging station, and adding 1 to the number of charging orders of the charging station; and/or receiving a closing order event of the charging station, and adding 1 to the closing order number of the charging station; and/or receiving an end charging event of the charging station, and counting the charging amount.
In a possible implementation manner, in the charging station recommendation apparatus provided in an embodiment of the present application, the scoring factors may further include one or more of the following:
distance from target location, charging price, number of guns that are idle on a charging station, charging voltage, or charging pattern.
The apparatus of this embodiment may perform the method embodiment shown in fig. 3, and the technical principle and technical effect are similar to those of the above embodiment, which are not described herein again.
The device embodiments provided in the present application are merely schematic, and the module division in fig. 6 and fig. 7 is only one logic function division, and there may be other division ways in actual implementation. For example, multiple modules may be combined or may be integrated into another system. The coupling of the various modules to each other may be through interfaces that are typically electrical communication interfaces, but mechanical or other forms of interfaces are not excluded. Thus, modules described as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices.
Fig. 8 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, where the electronic device may be a server, and as shown in fig. 8, the electronic device includes:
a receiver 40, a transmitter 41, a processor 42 and a memory 43 and computer programs; wherein the receiver 40 and the transmitter 41 enable data transmission with other devices, a computer program is stored in the storage 43 and configured to be executed by the processor 42, the computer program comprising instructions for executing the charging station recommendation method described above, the contents and effects of which refer to the method embodiments.
In addition, embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment performs the above-mentioned various possible methods.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Embodiments of the present application further provide a computer program product, which includes computer instructions, and the computer instructions, when executed by a processor, implement the steps in the charging station recommendation method in the foregoing embodiments.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (15)
1. A charging station recommendation method, comprising:
receiving a charging station recommendation request, wherein the charging station recommendation request comprises a target position, and the target position is the current position of a user or the setting position of the user;
determining a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position;
dividing the charging stations in each distance interval into a charging station set, and sorting the charging station sets according to the distance intervals from near to far to generate a first sorting result;
scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scoring height, and generating a second sorting result of each charging station set;
and recommending the charging station to the user according to the first sequencing result and the second sequencing result.
2. The method of claim 1, wherein said scoring the charging stations in each of the sets of charging stations according to a predetermined scoring rule comprises:
determining a grading rule of each grading factor by using the preset grading rule;
acquiring data of each scoring factor of the charging station;
for each scoring factor, determining the score of the scoring factor data by using the data of the scoring factor and the scoring rule of the scoring factor;
and accumulating the scores of all the scoring factors to determine the score of the charging station.
3. The method of claim 2, further comprising, prior to the obtaining data for each scoring factor for the charging station:
and receiving a charging event of the charging station, and counting the data of each scoring factor of the charging station.
4. The method of claim 3, wherein the scoring factors include one or more of: a charging amount of orders, a charging amount, or a closing amount of orders;
the receiving of the charging event of the charging station and the statistics of the data of each scoring factor of the charging station comprise:
receiving a creation order event of a charging station, and adding 1 to the charging order number of the charging station;
and/or the presence of a gas in the gas,
receiving a closing order event of a charging station, and adding 1 to the closing order number of the charging station;
and/or the presence of a gas in the gas,
and receiving an end charging event of the charging station, and counting the charging amount.
5. The method of claim 4, wherein the scoring factors further comprise one or more of:
distance to the target location, charging price, number of charging stations with guns idle, charging voltage, or charging pattern.
6. The method of any of claims 1-5, wherein recommending the charging station to the user according to the first ranking result and the second ranking result comprises:
recommending a target charging station set to the user according to the first sorting result of the charging station set, sorting the charging stations in the target charging station set according to a second sorting result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
7. A charging station recommendation device, comprising:
the charging station recommendation system comprises a receiving module, a recommendation module and a recommendation module, wherein the charging station recommendation request comprises a target position, and the target position is the current position of a user or the setting position of the user;
the determining module is used for determining a plurality of charging stations within a preset distance range of the target position and a distance interval between each charging station and the target position;
the first sequencing module is used for dividing the charging stations in each distance interval into a charging station set, and sequencing the charging station sets according to the distance intervals from near to far to generate a first sequencing result;
the second sorting module is used for respectively scoring the charging stations in each charging station set according to a preset scoring rule, sorting the charging stations in each charging station set according to the scoring height, and generating a second sorting result of each charging station set;
and the recommending module is used for recommending the charging station to the user according to the first sequencing result and the second sequencing result.
8. The apparatus of claim 7, wherein the second sorting module is specifically configured to:
determining a grading rule of each grading factor by using the preset grading rule;
acquiring data of each scoring factor of the charging station;
for each scoring factor, determining the score of the scoring factor data by using the data of the scoring factor and the scoring rule of the scoring factor;
and accumulating the scores of all the scoring factors to determine the score of the charging station.
9. The apparatus of claim 8, further comprising:
and the counting module is used for receiving the charging events of the charging station and counting the data of each scoring factor of the charging station.
10. The apparatus of claim 9, wherein the scoring factors comprise one or more of: a charging amount of orders, a charging amount, or a closing amount of orders;
the statistic module is specifically configured to:
receiving a creation order event of a charging station, and adding 1 to the charging order number of the charging station;
and/or the presence of a gas in the gas,
receiving a closing order event of a charging station, and adding 1 to the closing order number of the charging station;
and/or the presence of a gas in the gas,
and receiving an end charging event of the charging station, and counting the charging amount.
11. The apparatus of claim 10, wherein the scoring factors further comprise one or more of:
distance to the target location, charging price, number of charging stations with guns idle, charging voltage, or charging pattern.
12. The apparatus according to any one of claims 7 to 11, wherein the recommendation module is specifically configured to:
recommending a target charging station set to the user according to the first sorting result of the charging station set, sorting the charging stations in the target charging station set according to a second sorting result of the target charging station set, wherein the target charging station set is part or all of the charging station set.
13. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1-6.
14. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, perform the method of any one of claims 1-6.
15. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1-6.
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