LU504479B1

LU504479B1 - Method and device for rapid identification of charging vehicles based on power generation enterprises

Info

Publication number: LU504479B1
Application number: LU504479A
Authority: LU
Inventors: Jianxu Zhong; Guoji Yu; Feng Cao; Lingzhi Xi; Jinpeng You; Shaofeng Yu; Jishuang Han; chongyang Liao
Original assignee: Information Communication Branch Of China Southern Power Grid Peak Shaving And Frequency Modulation
Priority date: 2023-04-23
Filing date: 2023-06-12
Publication date: 2023-12-12
Also published as: CN116168562A; CN116168562B

Abstract

The present disclosure relates to the field of vehicle path planning technology, a method and apparatus for rapid identification of charging vehicles based on a power generation enterprise, comprising: obtaining all parking spaces in the park where the power generation enterprise is located, constructing a chargeable state matrix based on the geographic location of all chargeable parking spaces if the driving vehicle has a charging demand, determining a charging parking area available for the driving vehicle to perform charging based on said chargeable state matrix wherein the charging parking area includes one or more chargeable parking spaces, calculating the chargeable amount of each chargeable parking space within the charging parking area based on the power supply records of the charging enterprise, selecting the optimal chargeable parking space available for the driving vehicle to perform charging based on said chargeable amount, determining the geographic location of said optimal chargeable parking space.

Description

DESCRIPTION

METHOD AND DEVICE FOR RAPID IDENTIFICATION OF CHARGING VEHICLES

BASED ON POWER GENERATION ENTERPRISES

TECHNICAL FIELD

[0001] The disclosure relates to the technical field of vehicle path planning, and in particular to a method, device, electronic device and computer readable storage medium for rapid identification of charging vehicles based on power generation enterprises.

BACKGROUND ART

[0002] Along with the development of science and technology, the popularity of new energy or hybrid vehicles is getting higher and higher. Along with the popularity of new energy or hybrid vehicles, how to quickly identify new energy or hybrid vehicles and quickly determine the charging options for new energy or hybrid vehicles is a technical problem that needs to be solved urgently.

[0003] Conceivably, charging piles have been installed in most of the parks, especially in the parks where the power generation enterprises are located. Since the power generation enterprises can be self-sufficient, most of the parking spaces in the parks of the power generation enterprises have been installed with charging piles for the use of the vehicles coming and going.

[0004] However, it is necessary to explain that the current method for rapid identification of charging vehicles of power generation enterprises is relatively fragmented, i.e., the license plate number of the vehicle is identified first, and when the license plate number is identified successfully, there is a lack of guidance and planning for vehicle charging, which leads to the high usage frequency of some charging piles and the phenomenon that the charging piles are damaged due to excessive usage.

DISCLOSURE

[0005] The present disclosure provides a method, device and computer readable storage medium for rapid identification of charging vehicles based on power generation enterprises, the main purpose of which is to solve the problem of charging pile selection and path planning after identifying charging vehicles.

[0006] To achieve the above purpose, the present disclosure provides a method for rapid identification of charging vehicles based on power generation enterprises, comprising: identifying a driving vehicle entering a power generation enterprise and obtaining an identification result which includes whether the driving vehicle has a charging demand; obtaining all parking spaces in a park where the power generation enterprise is located, wherein all parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein a power of the charging piles comes from the power generation enterprise; if the driving vehicle does not have charging demand, obtaining a geographic location of the driving vehicle, and navigate the driving vehicle to an optimal non-charging parking space according to the geographic location of the driving vehicle; if the driving vehicle has a charging demand,

’ LU504479 constructing a rechargeable state matrix based on geographic locations of all rechargeable parking spaces; determining a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces; calculating a chargeable amount for each chargeable parking space within the charging parking area based on power supply records of the charging enterprise; selecting, based on the chargeable amount, an optimal charging parking space available for the driving vehicle to perform charging; and determining a geographic location of the optimal charging parking space and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

[0007] Optionally, the identifying the driving vehicle entering the power generation enterprise, obtaining the identification result, comprising: activating a monitoring system at an entrance where the power generation enterprise is located, wherein the monitoring system includes a license plate recognition model within the monitoring system; identifying, using the license plate recognition model, a license plate number of the driving vehicle ready to enter the power generation enterprise; when the license plate number of the driving vehicle is successfully identified, triggering a vehicle type identification model of the monitoring system, using the vehicle type identification model to identify whether the driving vehicle is a new energy vehicle, wherein the vehicle type identification model is constructed based on a deep learning model; when the driving vehicle is a new energy vehicle, starting a charging inquiry program of the monitoring system, and running the charging inquiry program to obtain a charging inquiry instruction; sending the charging inquiry instruction to a vehicle system of the driving vehicle or to a mobile device of the driver;

receiving a charge confirmation instruction from the driver in accordance with the charge inquiry instruction; and packaging the charging confirmation instruction and the license plate number of the driving vehicle to obtain the identification result.

[0008] Optionally, the obtaining all parking spaces in the park where the power generation enterprise is located, comprising: accessing a parking space record database of the park where the power generation enterprise is located, wherein the parking space record database records whether each parking space is installed with a charging pile, and a geographical location of each charging pile; classifying the parking spaces in the park where the power generation enterprise is located into parking spaces with charging piles and parking spaces without charging piles based on the parking space record database; sending charging confirmation instructions to each parking space with the charging pile and receiving charging idle instructions or charging busy instructions back from each parking space with a charging pile; identifying parking spaces without charging piles as non-charging parking spaces, parking spaces that return charging busy instructions as unavailable parking spaces, and parking spaces that return charging idle instructions as rechargeable parking spaces.

[0009] Optionally, the navigating the traveling vehicle to the optimal non-charging parking space based on the geographic location of the traveling vehicle, comprising: receiving a destination initiated by the driving vehicle to obtain a destination location; obtaining a nearest non-charging parking space at a distance from the destination location to obtain the optimal non-charging parking space, and determining the geographic location of the optimal non-charging parking space; generating a driving optimal path based on the geographic location of the optimal non-charging parking space and the geographic location; and navigating the driving vehicle along the driving optimal path to the optimal non-charging parking space.

[0010] Optionally, the constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces, comprising: receiving a charging pile search radius input by the driving vehicle and constructing a charging pile search circle with the charging pile search radius using the destination location of the driving vehicle as the center of the circle; obtaining all rechargeable parking spaces v a ; ; + Within the charging pile search circle to

Ld Fr ti axa La obtain dockable wen os « bchargeable state matrix based on the

À = La ean g “ac {ive x dockable parkin ‘ N _ _ pin the rechargeable state matrix is

Late EE Le represented as: Pat wi 8, where Ac denotes the chargeable state matrix, lj denotes a physical distance between the in dockable parking space and the jn dockable parking space, and when i=j, it denotes a physical distance between the in dockable parking space and the in dockable parking space, and in reality, 0, n denotes a total number of chargeable parking spaces whose geographic location belongs to the charging pile search circle.

[0011] Optionally, the determining a charging parking area available for the traveling vehicle to perform charging based on the chargeable state matrix, comprising: constructing a travel distance matrix corresponding to the chargeable state matrix based on the geographic location of the driving vehicle; visualizing a plurality of alternative charging parking areas based on the travel distance matrix; and receiving a charging parking area selected by a driver of the driving vehicle from the plurality of alternative charging parking areas, wherein the charging parking area includes at least one rechargeable parking space.

fd diy oe dal

[0012] Optionally, the travel distance matrix is: un fine da where Dc denotes the travel distance matrix corresponding to the rechargeable state matrix, dui denotes a physical distance of the driving vehicle from the in rechargeable parking space calculated based on the geographical location of the driving vehicle, di; denotes a physical distance of the 1st entrance of the power generation enterprise from the in rechargeable parking space, m denotes a total number of entrances to the power generation enterprise.

[0013] Optionally, the calculating the chargeable amount of each chargeable parking space within the charging parking area based on the power supply records of the charging enterprise, comprising: obtaining an IP address of the charging pile for each rechargeable parking space within the charging parking area; extracting, based on the IP address of the charging pile, a charging record for each charging pile from the charging enterprise's power supply record, wherein the charging record contains the annual charging amount of the charging pile; calculating the chargeakle—ralhima nf aach rechargeable parking space according to the following formula: Qu =12q{1+ re) ; where Qi denotes the chargeable amount, i.e. the chargeable amount that the charging pile of the in dockable parking space obtains from the charging enterprise in a future ln year, qi denotes the chargeable amount that the charging pile of the in dockable parking space obtains each year as recorded in the charging record, ri denotes the average increment of the chargeable amount that the charging of the in dockable parking space needs to obtain from the charging enterprise each year.

[0014] Optionally, the selecting the optimal charging parking space available for the driving vehicle to perform charging based on the rechargeable volume, comprising: obtaining a chargeable volume for each chargeable parking space within the charging parking area to obtain a chargeable volume set; performing a size ranking of each chargeable volume in the chargeable volume set to obtain a ranked power set, wherein a head of the ranked power set is the rechargeable parking space corresponding to the smallest chargeable volume and a tail is the rechargeable parking space corresponding to the largest chargeable volume; and determining the rechargeable parking space corresponding to the smallest rechargeable amount as the optimal rechargeable parking space.

[0015] To solve the above problem, the disclosure also provides a device for rapid identification of charging vehicles based on power generation enterprises, the device comprising. a parking space classification module for identifying driving vehicles entering the power generation enterprise to obtain identification results, wherein the identification results include whether the driving vehicles have charging demand, obtaining all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are classified into chargeable parking spaces and non-chargeable parking spaces according to whether the parking spaces have charging piles, and determining whether the charging piles are idle, wherein the charging piles derive their power from the power generation enterprises; a charging demand determination module for obtaining a geographic location of the driving vehicle if the driving vehicle does not have a charging demand, and navigating the driving vehicle to an optimal non-charging parking space based on the geographic location of the driving vehicle; a rechargeable state matrix construction module for constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces if the driving vehicle has a charging demand; a chargeable volume calculation module for determining, based on the chargeable state matrix, a chargeable parking area in which the driving vehicle can perform charging, wherein the chargeable parking area includes one or more chargeable parking spaces, and calculating a chargeable volume for each chargeable parking space within the chargeable parking area, based on the power supply records of the charging enterprise; a vehicle navigation module for selecting an optimal charging parking space available for the driving vehicle to perform charging based on the rechargeable amount, determining a geographic location of the optimal charging parking space, and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

[0016] To solve the above problem, the present disclosure further provides an electronic device, the electronic device comprising: a memory, storing at least one instruction; and a processor, executing the instructions stored in the memory to implement a rapid identification method for charging vehicles based on power generators as described above.

[0017] To solve the above problem, the present disclosure further provides a computer readable storage medium, the computer readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in the electronic device to implement the above-described method of rapid identification of charging vehicles based on power generation enterprises.

[0018] The embodiment of the present disclosure, in order to solve the problem described in the background technology, first identifies the driving vehicle entering the power generation enterprise and obtains the identification result, wherein the identification result includes whether the driving vehicle has charging demand, obtains all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are divided into chargeable parking spaces and non-chargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the charging piles It is understood that the embodiment of the present disclosure, after successfully identifying the driving vehicle, also confirms whether the driving vehicle has charging demand, which is more technically coherent than the traditional method that only identifies the license plate number.

Then, if the driving vehicle does not have charging demand, the geographic location of the driving vehicle is obtained, and the driving vehicle is navigated to the optimal non-charging parking space according to the geographic location of the driving vehicle, and if the driving vehicle has charging demand, the charging status matrix is constructed according to the geographic location of all the charging parking spaces.

In particular, when the driving vehicle has a charging demand, the embodiment of the present disclosure first constructs a chargeable state matrix, wherein the main function of the chargeable state matrix is to obtain a charging pile available for the driving vehicle to perform charging, and to determine a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces, and based on the power supply of the charging enterprise records, calculating the chargeable amount of each chargeable parking space within the charging parking area, and it is particularly important to emphasize that the embodiment of the present disclosure first determines the charging parking area, and the charging parking area is a parking location determined according to the user's intention, so that the geographic location of the charging parking area better meets the user's needs, and then calculates the chargeable amount of each charging pile within the charging parking area, and it is important to explain that the chargeable amount of a large It should be explained that the charging pile with a higher chargeable capacity indicates a higher load or use, so the parking space where the charging pile with a smaller chargeable capacity is located is selected as the optimal charging parking space for charging the driving vehicle, thus ensuring that each charging pile can be benignly used. Therefore, the main purpose of the proposed method, device, electronic device and computer readable storage medium for rapid identification of charging vehicles based on power generation companies is to solve the problem of selecting charging piles and path planning after identifying charging vehicles.

BRIEF DESCRIPTION OF DRAWINGS

[0019] FIG. 1 is a flow diagram of a method for rapid identification of charging vehicles based on power generation enterprises provided by an embodiment of the present disclosure;

FIG. 2 is a diagram of a functional module of a charging vehicle rapid identification device based on a power generation enterprise provided by an embodiment of the present disclosure; and

FIG. 3 is a schematic diagram of the structure of the electronic device provided by an embodiment of the present disclosure for realizing the method for rapid identification of charging vehicles based on a power generation enterprise.

[0020] The realization of the purpose, functional features and advantages of the present disclosure will be further described in conjunction with the embodiments, with reference to the accompanying drawings.

Best Mode

[0021] It should be understood that the specific embodiments described herein are intended only to explain the present disclosure and are not intended to limit it.

[0022] Embodiments of the present application provide a method for rapid identification of charging vehicles based on power generating companies. The execution subject of the power generation company-based method for rapid identification of charging vehicles includes, but is not limited to, at least one of an electronic device such as a server, a terminal, etc. that can be configured to execute the method provided by the present application embodiment. In other words, the method for rapid identification of charging vehicles based on power generating companies can be executed by software or hardware installed in a terminal device or a server-side device, the software can be a blockchain platform. the server side includes, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0023] Referring to FIG. 1, a schematic diagram of a process for a method for rapid identification of charging vehicles based on power generation companies provided in an embodiment of the present disclosure is shown. In this embodiment, the method for rapid identification of charging vehicles based on power generation enterprise comprises: S1, identifying the driving vehicle entering the power generation enterprise to obtain the identification result, wherein the identification result includes whether the driving vehicle has charging demand.

[0024] Needs to explain is, the power generation enterprise generally located in a plant or park, when there needs to arrive at the power generation enterprise vehicles, in the plant or or park gate can execute the identification, wherein the traditional method of identification method mainly identifies the vehicle license plate information, so as to achieve the purpose of vehicle registration.

[0025] But along with the new energy vehicles continue to popularize, at the same time to achieve the purpose of vehicle registration, also need to execute charging planning for the new energy vehicles, especially the power generation enterprise generally can self-sufficient belong to the enterprise charging pile of power.

[0026] In detail, the identifying the driving vehicle entering the power generation enterprise and obtaining the identification result, comprising: activating a monitoring system at the entrance wherein the power generation enterprise is located, wherein the monitoring system includes a license plate recognition model; identifying, using the license plate recognition model, the license plate number of the driving vehicle ready to enter the power generation enterprise when the license plate number of the driving vehicle is successfully identified, triggering a vehicle type identification model of the monitoring system, using the vehicle type identification model to identify whether the driving vehicle is a new energy vehicle, wherein the vehicle type identification model is constructed based on a deep learning model; when the driving vehicle is a new energy vehicle, starting the charging inquiry program of the monitoring system, and running the charging inquiry program to obtain charging inquiry instructions; sending the charging inquiry instruction to the vehicle system of the driving vehicle or to the mobile device of the driver; receiving a charge confirmation instruction from the driver in accordance with the charge inquiry instruction; packaging the charging confirmation instruction and the license plate number of the driving vehicle to obtain the identification result.

[0027] Exemplary, Xiao Zhang is a dispatched employee of a power generation enterprise, and now he has to return to the power generation enterprise to report on his work outside, so he drives a new energy vehicle to the entrance of the power generation enterprise, and based on the monitoring system of the entrance of the power generation enterprise, he first identifies the license plate number of the vehicle driven by Xiao

Zhang, and then sends charging inquiry instructions to Xiao Zhang's cell phone, and since Xiao Zhang drives long distance, his vehicle needs to be charged immediately after entering the enterprise. Since Zhang is driving long distance, his vehicle needs to be charged immediately after entering the enterprise, so Zhang replies with the confirmation instruction that it needs to be charged.

[0028] S2, obtaining all the parking spaces in the park where the power generation enterprise is located, wherein all the parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the power of the charging piles comes from the power generation enterprise.

[0029] In detail, the accessing all parking spaces in the park where the power generation enterprise is located, comprising: accessing a parking space record database of the campus where the power generation enterprise is located, wherein the parking space record database records whether each parking space is installed with a charging pile, and the geographical location of each charging pile; classifying the parking spaces in the park where the power generation enterprise is located into parking spaces with charging piles and parking spaces without charging piles based on the parking space record database; sending charging confirmation instructions to each parking space with a charging pile and receiving charging idle instructions or charging busy instructions back from each parking space with a charging pile; and determining parking spaces without charging piles installed as non-charging parking spaces, determining parking spaces that return charging busy instructions as unavailable parking spaces, and determining parking spaces that return charging idle instructions as chargeable parking spaces.

[0030] Exemplarily, Zhang now drives a car into a power generation enterprise, at which time the loT system where the power generation enterprise is located mobilizes the parking space record database and finds that there are 100 parking spaces in the power generation enterprise where Zhang is located, of which 70 parking spaces have charging piles and 30 parking spaces do not have charging piles. And further, through the instructions returned from the parking spaces with charging piles, it is found that among the 70 parking spaces with charging piles, 50 charging piles are idle and 20 charging piles are busy, i.e., collectively, there are 30 non-charging parking spaces, 20 unavailable parking spaces and 50 rechargeable parking spaces.

[0031] It should be emphasized that the electricity of the charging piles in the embodiment of the present disclosure comes from the power generation enterprises, of which the power generation enterprises can directly supply the charging piles because they can produce electricity.

[0032] S3, if the driving vehicle does not have a charging demand, the geographical location of the driving vehicle is obtained, and the driving vehicle is navigated to the optimal non-charging parking space according to the geographical location of the driving vehicle.

[0033] It is understood that when the driving vehicle does not have a charging demand, the driving vehicle can be navigated directly to the designated non-charging parking space in order to ensure that the parking space with the charging pile is not occupied and to maximize resources. In detail, the navigating the driving vehicle to the optimal non-charging parking space based on the geographic location of the driving vehicle, comprising: receiving a destination initiated by the driving vehicle and obtaining a destination location; obtaining non-charging parking spaces closest in distance to the destination location, obtaining an optimal non-charging parking space, and determining a geographic location of the optimal non-charging parking space; generating a driving optimal path based on the geographic location of the optimal non-charging parking space and the geographic location; navigating the driving vehicle to the optimal non- charging parking space along the driving optimal path.

[0034] Exemplarily, assuming that Zhang does not need charging, Zhang may determine an entrance of a power generation enterprise as a destination through a mobile device or a vehicle system, thereby planning, based on the destination, an optimal path for driving to the nearest non-charging parking space, and navigating to the optimal non-charging parking space based on the optimal path for driving.

[0035] S4. If the driving vehicle has a charging demand, the charging state matrix is constructed based on the geographic locations of all the rechargeable parking spaces.

[0036] It is understood that when the driving vehicle has a charging demand, it is obvious that the driving vehicle needs to be navigated to a parking space with a charging pile, i.e., the above-mentioned rechargeable parking space. However, it is necessary to explain that the traditional method is to navigate the driving vehicle to the nearest rechargeable parking space from the destination location according to the destination location of the driving vehicle, and although this method is practical, there is still a practical problem, i.e., the entrances of the power generation enterprises are fixed, such as the power generation enterprise where Zhang is located assumes that there are three entrances, and if the traditional method is used, the nearest rechargeable parking spaces from the three entrances parking spaces will always be used frequently, thus leading to a high probability that the charging piles of the nearest rechargeable parking spaces to the entrances will be damaged due to the high frequency of use. Therefore, to overcome the above problems, the embodiment of the present disclosure first constructs a rechargeable state matrix and adaptively adjusts the charging strategy of the driving vehicle based on the rechargeable state matrix.

[0037] In detail, the constructing the rechargeable state matrix based on the geographic location of all rechargeable parking spaces, comprising:

receiving a charging pile search radius input by the driving vehicle and constructing a charging pile search circle with the charging pile search radius using the destination location of the driving vehicle as the center of the circle; obtaining all rechargeable parking spaces whose geographic locations fall within the charging pile search circle to obtain dockable parking spaces; obtaining a rechargeable state matrix based on the dockable parking spaces constructed, wherein the rechargeable state matrix is represented as: i G cas i. “ac fr

Ae = : seu G nes where Ac denotes the chargeable state matrix, lj denotes a physical distance between the in dockable parking space and the ju dockable parking space, and when i=j, it denotes a physical distance between the in dockable parking space and the in dockable parking space, and in reality, 0, n denotes a total number of chargeable parking spaces whose geographic location belongs to the charging pile search circle.

[0038] S5, determining a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces.

[0039] It is to be explained that the above-mentioned rechargeable state matrix is constructed based on the destination location of the driving vehicle, but based on the user's perspective, it is also necessary to consider the user's idea to determine a specific charging pile.

[0040] Therefore, in detail, the determining the charging parking area available for the driving vehicle to perform charging based on the rechargeable state matrix, comprising: constructing a travel distance matrix corresponding to the rechargeable state matrix based on the geographical location of the driving vehicle; visualizing a plurality of alternative charging parking areas based on the travel distance matrix; receiving a charging parking area selected by the driver of the driving vehicle from the plurality of alternative charging parking areas, wherein the charging parking area includes at least one rechargeable parking space. feu diy — Samy!

D, = du — du — de

[0041] Further, the distance traveled matrix is fun — Gio Gam where Dc denotes the travel distance matrix corresponding to the rechargeable state matrix, dui denotes a physical distance of the driving vehicle from the in rechargeable parking space calculated based on the geographical location of the driving vehicle, di; denotes a physical distance of the 1st entrance of the power generation enterprise from the in rechargeable parking space, m denotes a total number of entrances to the power generation enterprise.

[0042] It is understood that embodiments of the present disclosure use a disclosed visualization tool or program and visualize a plurality of alternative charging parking areas based on the driving distance matrix, the chargeable state matrix, and the location of the power generation enterprise, wherein each charging parking area includes at least one chargeable parking space. Further, the visualized multiple charging parking areas can be sent to the driver of the driving vehicle, and the driver of the driving vehicle can select the charging parking areas according to his or her needs.

[0043] S6. Based on the power supply records of the charging company, the chargeable amount of each chargeable parking space within the charging parking area is calculated.

[0044] It is understood that the charging parking area selected by the driver may include multiple rechargeable parking spaces. The intelligent selection of which rechargeable parking space from within the charging parking area is a technical problem to be solved in subsequent steps of the embodiment of the present disclosure.

[0045] In detail, the calculating the rechargeable amount of each rechargeable parking space within the charging parking area based on the power supply records of the charging enterprise, comprising: obtaining an IP address of a charging pile for each rechargeable parking space within the charging parking area; extracting, based on the charging pile IP address, a charging record for each charging pile from the charging enterprise's power supply record, wherein the charging record contains the annual charging amount of the charging pile; calculating the chargeable valima af agch rechargeable parking space according to the following formula: Qu =12q(1+n 8. where Qi denotes the chargeable amount, i.e. the chargeable amount that the charging pile of the in dockable parking space obtains from the charging enterprise in a future In year, qi denotes the chargeable amount that the charging pile of the in dockable parking space obtains each year as recorded in the charging record, ri denotes the average increment of the chargeable amount that the charging of the in dockable parking space needs to obtain from the charging enterprise each year.

[0046] It is understood that the chargeable amount to be obtained from the charging enterprise for the 1st year () in the future, i.e. the chargeable amount described in the embodiment of the present disclosure, can be calculated for each dockable parking space in turn according to the above calculation method. Further, when the higher chargeable amount of the charging pile indicates that the load of the charging pile or the number of charges being used is also higher, in order to use each charging pile rationally, each charging pile in the charging parking area should be balanced so as to prevent the problem that some of the charging piles are damaged due to the excessive load or the number of charges, etc.

[0047] S7, the optimal charging parking area available for the driving vehicle to perform charging is selected according to the chargeable amount.

[0048] In detail, the selecting the optimal charging parking space available for the driving vehicle to perform charging based on the chargeable amount, comprising: obtaining a chargeable volume for each chargeable parking space within the charging parking area, obtaining a chargeable volume set; performing a size ranking of each chargeable volume in the chargeable volume set to obtain a ranked power set, wherein the head of the ranked power set is the rechargeable parking space corresponding to the smallest chargeable volume and the tail is the rechargeable parking space corresponding to the largest chargeable volume; and the rechargeable parking space corresponding to the smallest rechargeable amount is determined as the optimal rechargeable parking space.

[0049] Exemplarily, Xiao Zhang drives a car from the field back to the power generation enterprise to perform work reporting, and now determines the charging parking area A.

There are 10 rechargeable parking spaces in the charging parking area A. It is calculated that the chargeable volume of the 3rd rechargeable parking space is the smallest, so the 3rd rechargeable parking space is set as the optimal charging parking space, and at the same time reminds Xiao Zhang that since the 3rd rechargeable parking space is the optimal charging parking space, i.e. means that the 3rd rechargeable parking space carries less charging pressure in the history, so the failure rate is relatively lower and the charging stability is relatively higher, thus attracting

Zhang to choose the 3rd rechargeable parking space.

[0050] S8. The geographic location of the optimal charging parking space is determined, and the driving vehicle is navigated to the optimal charging parking space according to the geographic location of the optimal charging parking space.

[0051] It is to be explained that if the above-mentioned Xiao Zhang confirms the selection of the 3rd chargeable parking space as the optimal charging parking space, the geographic location of the 3rd chargeable parking space can be obtained and the driving vehicle can be driven to it, completing the rapid identification and charging planning of the charging vehicle.

[0052] In order to solve the problem described in the background technology, the embodiment of the present disclosure first identifies the driving vehicles entering the power generation enterprise and obtains the identification result, wherein the identification result includes whether the driving vehicles have charging demand, obtains all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are divided into chargeable parking spaces and non- chargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the charging piles It is understood that the embodiment of the present disclosure, after successfully identifying the driving vehicle, also confirms whether the driving vehicle has charging demand, which is more technically coherent than the traditional method that only identifies the license plate number. Then, if the driving vehicle does not have charging demand, the geographic location of the driving vehicle is obtained, and the driving vehicle is navigated to the optimal non-charging parking space according to the geographic location of the driving vehicle, and if the driving vehicle has charging demand, the charging status matrix is constructed according to the geographic location of all the charging parking spaces. In particular, when the driving vehicle has a charging demand, the embodiment of the present disclosure first constructs a chargeable state matrix, wherein the main function of the chargeable state matrix is to obtain a charging pile available for the driving vehicle to perform charging, and to determine a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces, and based on the power supply of the charging enterprise records, calculating the chargeable amount of each chargeable parking space within the charging parking area, and it is particularly important to emphasize that the embodiment of the present disclosure first determines the charging parking area, and the charging parking area is a parking location determined according to the user's intention, so that the geographic location of the charging parking area better meets the user's needs, and then calculates the chargeable amount of each charging pile within the charging parking area, and it is important to explain that the chargeable amount of a large It should be explained that the charging pile with a higher chargeable capacity indicates a higher load or use, so the parking space where the charging pile with a smaller chargeable capacity is located is selected as the optimal charging parking space for charging the driving vehicle, thus ensuring that each charging pile can be benignly used. Therefore, the main purpose of the method, device, electronic device and computer readable storage medium for rapid identification of charging vehicles based on power generation enterprises proposed in the present disclosure is to solve the problem of charging pile selection and path planning after identification of charging vehicles.

[0053] As shown in Fig. 2, a functional module diagram of the charging vehicle rapid identification device based on power generation enterprise provided by an embodiment of the present disclosure.

[0054] The charging vehicle rapid identification device 100 based on power generation enterprise described in the present disclosure can be installed in an electronic device.

According to the realized function, the charging vehicle rapid identification device 100 based on power generation enterprise may include a parking space classification module 101, a charging demand determination module 102, a chargeable state matrix construction module 103, a chargeable amount calculation module 104 and a vehicle navigation module 105. the module of the present disclosure, which may also be called a unit, refers to a series of computer programs capable of being executed by a processor of an electronic device and A series of computer program segments capable of performing a fixed function, which are stored in the memory of the electronic device.

[0055] The parking space classification module 101 is used to identify the driving vehicles entering the power generation enterprise and obtain the identification results, wherein the identification results include whether the driving vehicles have charging needs, and obtain all the parking spaces in the park where the power generation enterprise is located, wherein all the parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the power of the charging piles is sourced from a power generator; the charging demand judgment module 102 for obtaining the geographic location of the driving vehicle if the driving vehicle does not have a charging demand, and navigating the driving vehicle to the optimal non-charging parking space according to the geographic location of the driving vehicle; the rechargeable state matrix construction module 103 for constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces if the driving vehicle has a charging demand; the rechargeable volume calculation module 104 for determining, based on the rechargeable state matrix, a rechargeable parking area available for the driving vehicle to perform charging, wherein the rechargeable parking area includes one or more rechargeable parking spaces, and calculating the rechargeable volume for each rechargeable parking space within the rechargeable parking area based on the power supply records of the charging enterprise; and the vehicle navigation module 105 for selecting an optimal charging parking space available for the driving vehicle to perform charging based on the rechargeable amount, determining a geographic location of the optimal charging parking space, and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

[0056] In detail, the modules in the power generation company-based charging vehicle rapid identification device 100 in this embodiment of the disclosure are used with the same technical means as the blockchain-based product supply chain management method described above in FIG. 1 and are capable of producing the same technical effect, which will not be repeated here.

[0057] As shown in FIG. 3, a schematic diagram of the structure of an electronic device providing an embodiment of the present disclosure that implements a rapid identification method for charging vehicles based on a power generation enterprise.

[0058] The electronic device 1 may comprise a processor 10, a memory 11 and a bus 12, and may further comprise a computer program stored in the memory 11 and runable on the processor 10, such as a program for a rapid identification method for charging vehicles based on a power generation enterprise.

[0059] Wherein the memory 11 comprises at least one type of readable storage medium, the readable storage medium including flash memory, mobile hard disk, multimedia card, card type memory (e.g., SD or DX memory, etc.), magnetic memory, disk, CD-ROM, etc. the memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. the memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, Smart Media Card (SMC),

Secure Digital (SD) card, Flash Card, etc., provided on the electronic device 1. Further, the memory 11 may also include both internal storage units of the electronic device 1 as well as external storage devices. the memory 11 can be used not only for storing application software and various types of data installed in the electronic device 1, such as the code of a rapid identification method program for charging vehicles based on power generation companies, etc., but also for temporarily storing data that has been output or will be output.

[0060] The processor 10 may in some embodiments consist of an integrated circuit, for example it may consist of an integrated circuit in a single package, or it may consist of a plurality of integrated circuits in the same or different functional packages, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors and various Combination of control chips, etc. the processor 10 is the control core (Control Unit) of the electronic device and connects various components of the entire electronic device using various interfaces and lines to perform, by running or executing programs or modules stored in the memory 11 (e.g., programs for rapid identification methods for charging vehicles based on power generation companies, etc.), and by calling data stored in the memory 11, the various functions and processing data of the electronic device 1.

[0061] The bus 12 may be a peripheral component interconnect standard (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. the bus 12 is set up to enable communication of the connection between the memory 11 and at least one processor 10, etc.

[0062] Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure illustrated in Figure 3 does not constitute a limitation of the electronic device 1 and may include fewer or more components than illustrated, or a combination of certain components, or a different arrangement of components.

[0063] For example, although not shown, the electronic device 1 may also include a power supply (e.g. a battery) to power the various components, and preferably the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions such as charging management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include one or more DC or AC power sources, re-charging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. the electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which are not described herein.

[0064] Further, the electronic device 1 may further comprise a network interface, optionally, the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, Bluetooth interface, etc.), typically for establishing a communication connection between the electronic device 1 and other electronic devices.

[0065] Optionally, the electronic device 1 may also include a user interface, which may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface.

Optionally, in some embodiments, the display can be an LED display, LCD display, touch LCD display, and OLED (Organic Light-Emitting Diode, Organic Light Emitting

Diode) touch device, etc. Among others, the display may also be appropriately referred to as a display or display unit for displaying information processed in the electronic device 1 as well as for displaying a visual user interface.

[0066] It should be understood that the described embodiments are for illustrative purposes only and are not limited by this structure in terms of the scope of the patent application.

[0067] The memory 11 in the the electronic device 1 stores the program of the method of rapid identification of charging vehicles based on the power generation enterprise as a combination of several instructions which, when run in the the processor 10, it can fulfil: identifying the driving vehicle entering the power generation enterprise and obtaining an identification result, wherein the identification result includes whether the driving vehicle has a charging demand or not; obtaining all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the charging piles derive their power from the power generation enterprise; if the driving vehicle does not have charging demand, the geographic location of the driving vehicle is obtained, and the driving vehicle is navigated to the optimal non-charging parking space according to the geographic location of the driving vehicle; if the driving vehicle has a charging demand, constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces; determining a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces; calculating a chargeable amount for each chargeable parking space within the charging parking area based on the power supply records of the charging enterprise; selecting, based on the chargeable amount, an optimal charging parking space available for a driving vehicle to perform charging; and determining a geographic location of the optimal charging parking space and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

[0068] Specifically, the specific method of implementation of the instructions by the processor 10 may be described with reference to the relevant steps in the corresponding embodiments of Figures 1 to 3 and will not be repeated herein.

[0069] Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented as a software functional unit and sold or used as a standalone product. the computer readable storage medium may be volatile or non-volatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a

USB flash drive, a removable hard drive, a disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0070] The disclosure also provides a computer readable storage medium, the readable storage medium storing a computer program, the computer program, when executed by a processor of an electronic device, it can fulfil: identifying a driving vehicle entering the power generation enterprise and obtaining an identification result, wherein the identification result includes whether the driving vehicle has a charging demand; obtaining all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein the charging piles derive their power from the power generation enterprise; if the driving vehicle does not have charging demand, the geographic location of the driving vehicle is obtained, and the driving vehicle is navigated to the optimal non- charging parking space according to the geographic location of the driving vehicle; if the driving vehicle has a charging demand, constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces; determining a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces; calculating a chargeable amount for each chargeable parking space within the charging parking area based on the power supply records of the charging enterprise; selecting, based on the chargeable amount, an optimal charging parking space available for a driving vehicle to perform charging; and determining a geographic location of the optimal charging parking space and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

[0071] In several embodiments provided by the present disclosure, it should be understood that the disclosed devices, apparatuses and methods, can be implemented in other ways. For example, the above embodiments of the apparatus are merely schematic, for example, the division of the modules, which is only a logical functional division, may be divided in another way when actually implemented.

[0072] The modules illustrated as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, ie, they may be located in one place, or they may be distributed to a plurality of network units. Some or all of these modules can be selected according to practical needs to achieve the purpose of the present embodiment solution.

[0073] In addition, each functional module in each embodiment of the present disclosure can be integrated in a single processing unit, or each unit can be physically present separately, or two or more units can be integrated in a single unit. The above integrated units can be implemented either in the form of hardware or in the form of hardware plus software functional modules.

[0074] It is apparent to those skilled in the art that the present disclosure is not limited to the details of the above exemplary embodiments, and that it can be implemented in other specific forms without departing from the spirit or essential features of the present disclosure.

[0075] Therefore, the embodiments should be regarded as exemplary and non-limiting from either point of view, and the scope of the disclosure is limited by the appended claims and not by the above description, and is therefore intended to encompass all variations falling within the meaning and scope of the equivalent elements of the claims.

Any appended figure markings in the claims should not be considered as limiting the claims involved.

[0076] The blockchain referred to in the present disclosure is a new application model of computer technology such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms. A blockchain (Blockchain), essentially a decentralized database, is a string of data blocks generated using cryptographic methods of correlation, each containing information about a batch of network transactions for verifying the validity of its information (forgery-proof) and generating the next block. The blockchain may include the underlying blockchain platform, the platform product service layer, and the application service layer.

[0077] Further, it is clear that the word "includes" does not exclude other units or steps, and the singular does not exclude the plural. The plurality of units or devices stated in the system claims may also be implemented by a single unit or device through software or hardware. Words such as second are used to denote names and do not indicate any particular order.

[0078] Finally, it should be noted that the above embodiments are used only to illustrate the technical solution of the present disclosure and not to limit it. Although the disclosure is described in detail with reference to the preferred embodiments, it should be understood by those of ordinary skill in the art that modifications or equivalent substitutions can be made to the technical solution of the disclosure without departing from the spirit and scope of the technical solution of the disclosure.

Claims

1. A method for rapid identification of charging vehicles based on a power generation enterprise, comprising: identifying a driving vehicle entering a power generation enterprise and obtaining an identification result which includes whether the driving vehicle has a charging demand; obtaining all parking spaces in a park where the power generation enterprise is located, wherein all parking spaces are divided into rechargeable parking spaces and non-rechargeable parking spaces according to whether the parking spaces have charging piles and whether the charging piles are idle, wherein a power of the charging piles comes from the power generation enterprise; if the driving vehicle does not have charging demand, obtaining a geographic location of the driving vehicle, and navigate the driving vehicle to an optimal non-charging parking space according to the geographic location of the driving vehicle; if the driving vehicle has a charging demand, constructing a rechargeable state matrix based on geographic locations of all rechargeable parking spaces; determining a charging parking area available for the driving vehicle to perform charging based on the chargeable state matrix, wherein the charging parking area includes one or more chargeable parking spaces; calculating a chargeable amount for each chargeable parking space within the charging parking area based on power supply records of the charging enterprise; selecting, based on the chargeable amount, an optimal charging parking space available for the driving vehicle to perform charging; and determining a geographic location of the optimal charging parking space and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.

2. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 1, wherein the identifying the driving vehicle entering the power generation enterprise and obtaining the identification result, comprising: activating a monitoring system at an entrance where the power generation enterprise is located, wherein the monitoring system includes a license plate recognition model within the monitoring system; identifying, using the license plate recognition model, a license plate number of the driving vehicle ready to enter the power generation enterprise; when the license plate number of the driving vehicle is successfully identified, triggering a vehicle type identification model of the monitoring system, using the vehicle type identification model to identify whether the driving vehicle is a new energy vehicle, wherein the vehicle type identification model is constructed based on a deep learning model; when the driving vehicle is a new energy vehicle, starting a charging inquiry program of the monitoring system, and running the charging inquiry program to obtain a charging inquiry instruction; sending the charging inquiry instruction to a vehicle system of the driving vehicle or to a mobile device of the driver; receiving a charge confirmation instruction from the driver in accordance with the charge inquiry instruction; and packaging the charging confirmation instruction and the license plate number of the driving vehicle to obtain the identification result.

3. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 2, wherein the obtaining all parking spaces in the park where the power generation enterprise is located, comprising: accessing a parking space record database of the park where the power generation enterprise is located, wherein the parking space record database records whether each parking space is installed with a charging pile, and a geographical location of each charging pile; classifying the parking spaces in the park where the power generation enterprise is located into parking spaces with charging piles and parking spaces without charging piles based on the parking space record database; sending charging confirmation instructions to each parking space with the charging pile and receiving charging idle instructions or charging busy instructions back from each parking space with a charging pile; and identifying parking spaces without charging piles as non-charging parking spaces, parking spaces that return charging busy instructions as unavailable parking spaces, and parking spaces that return charging idle instructions as rechargeable parking spaces.

4. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 1, wherein the navigating the traveling vehicle to the optimal non- charging parking space based on the geographic location of the traveling vehicle, comprising: receiving a destination initiated by the driving vehicle to obtain a destination location; obtaining a nearest non-charging parking space at a distance from the destination location to obtain the optimal non-charging parking space, and determining the geographic location of the optimal non-charging parking space; generating a driving optimal path based on the geographic location of the optimal non-charging parking space and the geographic location; and navigating the driving vehicle along the driving optimal path to the optimal non-charging parking space.

5. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 4, wherein the constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces, comprising: receiving a charging pile search radius input by the driving vehicle and constructing a charging pile search circle with the charging pile search radius using the destination location of the driving vehicle as the center of the circle; obtaining all rechargeable parking spaces v 6. LL … LA within the charging pile search circle to obtain dockable 07 5 in :chargeable state matrix based on the dockable parkin fe = N a © © N : the rechargeable state matrix is represented as: ane ba OI where Ac denotes the chargeable state matrix, lj denotes a physical distance between the in dockable parking space and the jn dockable parking space, and when i=j, it denotes a physical distance between the in dockable parking space and the in dockable parking space, and in reality, 0, n denotes a total number of chargeable parking spaces whose geographic location belongs to the charging pile search circle.

6. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 5, wherein the determining a charging parking area available for the traveling vehicle to perform charging based on the chargeable state matrix, comprising: constructing a travel distance matrix corresponding to the chargeable state matrix based on the geographic location of the driving vehicle; visualizing a plurality of alternative charging parking areas based on the travel distance matrix; and receiving a charging parking area selected by a driver of the driving vehicle from the plurality of alternative charging parking areas, wherein the charging parking area includes at least one rechargeable parking space.

7. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 6, wherein the travel distance matrix is: dy ayy me fly De =ldy — dy — del Lue … {in — Hae where De. denotes the travel distance matrix corresponding to the rechargeable state matrix, dui denotes a physical distance of the driving vehicle from the in rechargeable parking space calculated based on the geographical location of the driving vehicle, di; denotes a physical distance of the 1st entrance of the power generation enterprise from the in rechargeable parking space, m denotes a total number of entrances to the power generation enterprise.

8. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 7, wherein the calculating the chargeable amount of each chargeable parking space within the charging parking area based on the power supply records of the charging enterprise, comprising: obtaining an IP address of the charging pile for each rechargeable parking space within the charging parking area; extracting, based on the IP address of the charging pile, a charging record for each charging pile from the charging enterprise's power supply record, wherein the charging record contains the annual charging amount of the charging pile; calculating the chargeable volume of each rechargeable parking space according to the following formula:

Qu =12gq:{1+ en} where Qi denotes the chargeable amount, i.e. the chargeable amount that the charging pile of the in dockable parking space obtains from the charging enterprise in a future In year, qi denotes the chargeable amount that the charging pile of the in dockable parking space obtains each year as recorded in the charging record, ri denotes the average increment of the chargeable amount that the charging of the in dockable parking space needs to obtain from the charging enterprise each year.

9. The method for rapid identification of charging vehicles based on a power generation enterprise of claim 8, wherein the selecting the optimal charging parking space available for the driving vehicle to perform charging based on the rechargeable volume, comprising. obtaining a chargeable volume for each chargeable parking space within the charging parking area to obtain a chargeable volume set; performing a size ranking of each chargeable volume in the chargeable volume set to obtain a ranked power set, wherein a head of the ranked power set is the rechargeable parking space corresponding to the smallest chargeable volume and a tail is the rechargeable parking space corresponding to the largest chargeable volume; and determining the rechargeable parking space corresponding to the smallest rechargeable amount as the optimal rechargeable parking space.

10. A device for rapid identification of charging vehicles based on power generation enterprises, comprising: a parking space classification module for identifying driving vehicles entering the power generation enterprise to obtain identification results, wherein the identification results include whether the driving vehicles have charging demand, obtaining all parking spaces in the park where the power generation enterprise is located, wherein all parking spaces are classified into chargeable parking spaces and non-chargeable parking spaces according to whether the parking spaces have charging piles, and determining whether the charging piles are idle, wherein the charging piles derive their power from the power generation enterprises; a charging demand determination module for obtaining a geographic location of the driving vehicle if the driving vehicle does not have a charging demand, and navigating the driving vehicle to an optimal non-charging parking space based on the geographic location of the driving vehicle; a rechargeable state matrix construction module for constructing a rechargeable state matrix based on the geographic locations of all rechargeable parking spaces if the driving vehicle has a charging demand; a chargeable volume calculation module for determining, based on the chargeable state matrix, a chargeable parking area in which the driving vehicle can perform charging, wherein the chargeable parking area includes one or more chargeable parking spaces, and calculating a chargeable volume for each chargeable parking space within the chargeable parking area, based on the power supply records of the charging enterprise; and a vehicle navigation module for selecting an optimal charging parking space available for the driving vehicle to perform charging based on the rechargeable amount, determining a geographic location of the optimal charging parking space, and navigating the driving vehicle to the optimal charging parking space based on the geographic location of the optimal charging parking space.