Intelligent charging pile billing method and system based on image recognition and medium

Abstract

The embodiment of the invention discloses an intelligent charging pile billing method and system based on image recognition and a medium, belongs to the technical field of intelligent billing of parking lots, and solves the problem of low resource utilization rate of charging piles during parking. Comprising the steps of obtaining a vehicle image of a target vehicle corresponding to a charging parking space of a parking lot to determine a vehicle type; wherein the vehicle type comprises a new energy type and a fuel vehicle type; if the energy type is the new energy type, determining the normal use duration of the charging parking space and / or the abnormal occupation duration of the charging parking space based on the charging duration and the parking duration of the target vehicle in the charging parking space; if the target vehicle is the fuel vehicle type, determining the abnormal occupation duration of the charging parking space based on the parking duration of the target vehicle in the charging parking space; and when the target vehicle leaves the parking lot, matching a corresponding billing strategy based on the vehicle type, the normal use duration of the charging parking space and / or the abnormal occupation duration of the charging parking space so as to determine the total parking fee corresponding to the target vehicle.

Description

Technical Field

[0001] This application relates to the field of intelligent parking fee calculation technology, and in particular to an intelligent charging pile fee calculation method, system and medium based on image recognition. Background Technology

[0002] In recent years, charging piles have become an important part of urban new energy infrastructure, with their deployment density continuously increasing, especially in large commercial districts, residential communities, and public parking lots. To improve management efficiency, some charging piles are equipped with intelligent management systems, such as remote monitoring, power consumption statistics, and reservation functions, but these mainly focus on the charging process itself.

[0003] In practice, the actual utilization rate of charging stations has not met expectations, mainly due to two problems: first, traditional gasoline vehicles occupy charging spaces; and second, new energy vehicles remain on the road for extended periods after charging, making it difficult for other users to access charging resources promptly. This not only wastes resources but also severely impacts parking lot operational efficiency. Summary of the Invention

[0004] This application provides an image recognition-based smart charging pile billing method, system, and medium to solve the following technical problem: Traditional fuel vehicles occupy charging spaces or new energy vehicles do not leave for a long time after charging, making it difficult for other users to use charging pile resources in a timely manner, resulting in resource waste and seriously affecting the operational efficiency of parking lots.

[0005] The embodiments of this application adopt the following technical solutions:

[0006] This application provides a smart charging pile billing method based on image recognition. The method includes: acquiring a vehicle image of the target vehicle corresponding to a charging space in a parking lot to determine the vehicle type; wherein the vehicle type includes new energy vehicles and gasoline vehicles; if it is a new energy vehicle, determining the normal usage time and / or abnormal occupancy time of the charging space based on the charging time and parking time of the target vehicle in the charging space; if it is a gasoline vehicle, determining the abnormal occupancy time of the charging space based on the parking time of the target vehicle in the charging space; when the target vehicle leaves the parking lot, matching the corresponding billing strategy based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking fee for the target vehicle.

[0007] In one implementation of this application, obtaining a vehicle image of a target vehicle corresponding to a charging parking space in a parking lot to determine the vehicle type specifically includes: obtaining a vehicle image of the target vehicle through a camera installed on the charging pile; determining the vehicle type based on the license plate information in the vehicle image; wherein the license plate information includes at least the license plate number and the license plate color.

[0008] In one implementation of this application, if the vehicle is a new energy vehicle, the normal usage time and / or abnormal occupancy time of the charging space are determined based on the charging time and parking time of the target vehicle in the charging space. Specifically, this includes: if the vehicle is a new energy vehicle, obtaining the charging gun insertion time and starting the charging timer; after charging is completed, ending the charging timer to obtain the charging time and starting the parking timer; when the target vehicle leaves the charging space, ending the parking timer to obtain the parking time; comparing the parking time with a preset parking space occupancy time threshold, and determining the normal usage time and / or abnormal occupancy time of the charging space based on the comparison result.

[0009] In one implementation of this application, the normal usage time and / or abnormal occupancy time of the charging parking space are determined based on the comparison results. Specifically, this includes: when the parking time exceeds a preset parking space occupancy time threshold, obtaining the abnormal occupancy time of the charging parking space based on the difference between the parking time and the parking space occupancy time threshold; and when the parking time is not greater than the preset parking space occupancy time threshold, determining the parking time as the normal usage time of the charging parking space.

[0010] In one implementation of this application, if the vehicle is a gasoline-powered vehicle, the abnormal occupancy time of the charging space is determined based on the parking time of the target vehicle in the charging space. Specifically, if the vehicle is a gasoline-powered vehicle, a parking timer is started when the target vehicle enters the charging space; the parking timer is stopped when the target vehicle leaves the charging space, and the abnormal occupancy time of the charging space is determined based on the parking timer.

[0011] In one implementation of this application, when the target vehicle leaves the parking lot, a corresponding billing strategy is matched based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking cost for the target vehicle. Specifically, this includes: if the target vehicle is a gasoline vehicle, obtaining the parking duration based on the time the target vehicle enters and exits the parking lot; matching a first billing strategy in the billing relationship mapping table based on the parking duration and the abnormal occupancy time of the charging space; wherein, the first billing strategy is to obtain the parking cost based on the parking duration and the parking unit price, obtain a first additional cost based on the first additional cost coefficient corresponding to the gasoline vehicle type and the abnormal occupancy time of the charging space, and obtain the total parking cost based on the parking cost and the first additional cost.

[0012] In one implementation of this application, when the target vehicle leaves the parking lot, a corresponding billing strategy is matched based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking cost for the target vehicle. Specifically, this includes: if the target vehicle is a new energy vehicle and the parking time exceeds a preset parking space occupancy time threshold, obtaining the parking time based on the time the target vehicle enters and exits the parking lot; matching a second billing strategy in a billing relationship mapping table based on the parking time and the abnormal occupancy time of the charging space; wherein the second billing strategy is to obtain the parking fee based on the parking time and the parking unit price, obtain a second additional fee based on the second additional fee coefficient corresponding to the new energy vehicle type and the abnormal occupancy time of the charging space, and obtain the total parking cost based on the parking fee and the second additional fee.

[0013] In one implementation of this application, when the target vehicle leaves the parking lot, a corresponding billing strategy is matched based on the vehicle type, normal usage time of the charging space, and / or abnormal occupancy time of the charging space to determine the total parking cost for the target vehicle. Specifically, this includes: if the target vehicle is a new energy vehicle and the parking time is not greater than a preset parking space occupancy time threshold, obtaining the parking time based on the time the target vehicle enters and exits the parking lot; matching a third billing strategy in the billing relationship mapping table based on the parking time; wherein the third billing strategy is to obtain the total parking cost based on the parking time and the parking unit price, and to send corresponding charging coupons or charging points to the user of the target vehicle based on the charging time.

[0014] This application provides an image recognition-based intelligent charging pile billing system, including: a vehicle identification module for acquiring vehicle images of target vehicles corresponding to charging spaces in a parking lot to determine the vehicle type; wherein the vehicle type includes new energy vehicles and gasoline vehicles; a new energy vehicle parking duration determination module, which, if the vehicle is a new energy vehicle, determines the normal usage time and / or abnormal occupancy time of the charging space based on the charging time and parking time of the target vehicle in the charging space; a gasoline vehicle parking duration confirmation module, which, if the vehicle is a gasoline vehicle, determines the abnormal occupancy time of the charging space based on the parking time of the target vehicle in the charging space; and a parking billing module, which, when the target vehicle leaves the parking lot, matches the corresponding billing strategy based on vehicle information, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking fee corresponding to the target vehicle.

[0015] This application provides a non-volatile computer storage medium storing computer-executable instructions. These instructions are configured to: acquire a vehicle image of a target vehicle corresponding to a charging space in a parking lot to determine the vehicle type; wherein the vehicle type includes new energy vehicles and gasoline vehicles; if it is a new energy vehicle, determine the normal usage time and / or abnormal occupancy time of the charging space based on the charging time and parking time of the target vehicle in the charging space; if it is a gasoline vehicle, determine the abnormal occupancy time of the charging space based on the parking time of the target vehicle in the charging space; when the target vehicle leaves the parking lot, match a corresponding billing strategy based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking fee for the target vehicle.

[0016] The above-mentioned technical solutions adopted in this application embodiment can achieve the following beneficial effects: This application embodiment determines the vehicle type by acquiring vehicle images, accurately distinguishing between new energy vehicles and gasoline vehicles, and avoiding management chaos caused by misjudgment of vehicle type. Based on vehicle type, normal usage time, and / or abnormal occupancy time, a billing strategy is matched and the total parking fee is determined, achieving refined and fair billing. Different types of vehicles and different usage states correspond to different billing standards. New energy vehicles can enjoy reasonable billing for normal charging use, while both excessive occupancy by new energy vehicles and occupancy by gasoline vehicles incur corresponding fees. This application embodiment, through differentiated billing, can guide car owners to regulate parking behavior, optimize parking lot resource allocation, and improve the utilization efficiency of charging piles. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0018] Figure 1 A first schematic diagram of an image recognition-based smart charging pile billing system provided in an embodiment of this application;

[0019] Figure 2 A second schematic diagram of an image recognition-based smart charging pile billing system provided in an embodiment of this application;

[0020] Figure 3 A flowchart illustrating a smart charging pile billing method based on image recognition, provided as an embodiment of this application;

[0021] Figure 4This is a flowchart illustrating a smart charging pile billing method based on image recognition, provided in an embodiment of this application. Detailed Implementation

[0022] This application provides a smart charging pile billing method, system, and medium based on image recognition.

[0023] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application.

[0024] The technical solutions proposed in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Figure 1 This application provides a first schematic diagram of an image recognition-based smart charging pile billing system, as shown in the embodiment of the present application. Figure 1 As shown, the image recognition-based intelligent charging pile billing system includes a vehicle identification module, a new energy vehicle parking duration determination module, a gasoline vehicle parking duration confirmation module, and a parking billing module. The vehicle identification module acquires vehicle images of the target vehicle corresponding to the charging space in the parking lot to determine the vehicle type, which includes new energy vehicles and gasoline vehicles. The new energy vehicle parking duration determination module, if the vehicle is a new energy vehicle, determines the normal usage time and / or abnormal occupancy time of the charging space based on the charging time and parking time of the target vehicle in the charging space. The gasoline vehicle parking duration confirmation module, if the vehicle is a gasoline vehicle, determines the abnormal occupancy time of the charging space based on the parking time of the target vehicle in the charging space. The parking billing module, when the target vehicle leaves the parking lot, matches the corresponding billing strategy based on vehicle information, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space to determine the total parking fee for the target vehicle.

[0026] Figure 2 This is a second schematic diagram of an image recognition-based smart charging pile billing system provided in an embodiment of this application, as shown below. Figure 2 As shown in the embodiments of this application, the intelligent charging pile billing system based on image recognition can be further subdivided into an image acquisition module, an image recognition and vehicle type discrimination module, a charging status detection module, a parking time and charging time matching module, a linkage billing module, and a reward mechanism module.

[0027] Specifically, the image acquisition module: a high-definition camera is deployed above or to the side of the charging pile to capture images of vehicles entering the parking space and identify license plate numbers, body colors, and vehicle models.

[0028] Image recognition and vehicle type identification module: Through license plate image recognition, the module analyzes the license plate number rules to identify whether the vehicle is a new energy vehicle.

[0029] Charging status detection module: Real-time monitoring of vehicle charging gun status, charging curve, and charging completion time.

[0030] Parking time and charging time matching module: The parking time period is from the moment the vehicle enters the parking area to the moment it leaves. The timeout period that begins after the charging state ends will trigger additional charges.

[0031] Linked billing module and reward mechanism module: When a user leaves the parking space within a set time limit after charging is completed, the system records the good behavior and generates a coupon.

[0032] Figure 3 A flowchart of a smart charging pile billing method based on image recognition is provided for an embodiment of this application, as shown below. Figure 3 As shown, the smart charging pile billing method based on image recognition includes the following steps:

[0033] S101. Obtain the vehicle image of the target vehicle corresponding to the charging space in the parking lot to determine the vehicle type.

[0034] In one implementation of this application, a camera device installed on a charging pile acquires a vehicle image corresponding to the target vehicle. The vehicle type is determined based on the license plate information in the vehicle image; the license plate information includes at least the license plate number and color. The vehicle type includes both new energy vehicles and gasoline vehicles.

[0035] Specifically, when a target vehicle enters and parks in a charging space, the camera device installed on the charging pile is activated. The device captures images of the front or rear of the vehicle, ensuring a clear view of the area containing the license plate. Using character recognition technology, the license plate area in the image is analyzed to extract the specific characters of the license plate number and its color information. The extracted license plate color and number information are then matched against a rule base. For example, gradient green or solid green license plates typically correspond to new energy vehicles, while blue or yellow license plates often correspond to traditional gasoline vehicles. Simultaneously, specific character codes within the license plate number also contain vehicle type information. Combining the color and character information, a comprehensive judgment is made to determine whether the target vehicle is a new energy vehicle or a gasoline vehicle, and the result is fed back to the parking lot's management system.

[0036] S102. If it is a new energy vehicle, the normal usage time and / or abnormal occupation time of the charging space shall be determined based on the charging time and parking time of the target vehicle in the charging space.

[0037] In one implementation of this application, if the vehicle is a new energy vehicle, the charging gun insertion time is obtained, and a charging timer is started. Upon completion of charging, the charging timer ends, the charging duration is obtained, and a parking timer is started. When the target vehicle leaves the charging space, the parking timer ends, and the parking duration is obtained. The parking duration is compared with a preset parking space occupancy time threshold, and based on the comparison result, the normal usage time and / or abnormal occupancy time of the charging space are determined.

[0038] Specifically, once the target vehicle is determined to be a new energy vehicle, the system first uses sensors on the charging station to detect the connection status between the charging gun and the vehicle. The moment the charging gun is successfully inserted into the vehicle's charging port, the system automatically records the time as the charging gun insertion time and immediately starts the charging timer to accumulate the vehicle's charging time. During charging, the system continuously monitors the charging status. When the vehicle's battery reaches full charge, the charging timer ends, and the accumulated time from the start to the end of charging is recorded as the charging duration. Simultaneously, the system starts a parking timer to calculate the time the vehicle remains in the charging space after charging is complete.

[0039] Furthermore, when the target vehicle leaves, the parking timer ends, and the cumulative time from the end of charging to the vehicle's departure is recorded as the parking duration. This embodiment of the application calls a preset parking space occupancy time threshold, compares the parking duration with the preset parking space occupancy time threshold, and determines the normal usage time and / or abnormal occupancy time of the charging parking space based on the comparison result.

[0040] In one implementation of this application, when the parking duration exceeds a preset parking space occupancy time threshold, the abnormal occupancy time of the charging parking space is obtained based on the difference between the parking duration and the parking space occupancy time threshold. When the parking duration is not greater than the preset parking space occupancy time threshold, the parking duration is determined as the normal usage time of the charging parking space.

[0041] Specifically, if the parking time is less than or equal to the threshold, it means that the vehicle left promptly after charging was completed. In this case, the normal usage time of the charging space is the previously recorded charging time, and there is no abnormal occupancy time. If the parking time exceeds the threshold, the portion exceeding the threshold is determined to be abnormal occupancy time, and the normal usage time of the charging space is the charging time plus the parking time equal to the threshold.

[0042] S103. If it is a gasoline vehicle, the abnormal occupancy time of the charging space is determined based on the parking time of the target vehicle in the charging space.

[0043] In one implementation of this application, if the vehicle is a gasoline-powered vehicle, a parking timer is started when the target vehicle enters the charging parking space. The parking timer ends when the target vehicle leaves the charging parking space, and the abnormal occupancy time of the charging parking space is determined based on the parking timer.

[0044] Specifically, once the target vehicle is identified as a gasoline-powered vehicle, and the system detects that the vehicle has fully entered the charging parking space and come to a complete stop, it determines that the vehicle has entered the space. At this point, the system automatically starts a parking timer to record the time the gasoline-powered vehicle spends in the charging parking space. During the parking period, the system continuously runs the parking timer function, accumulating the vehicle's parking time without interruption, until a signal indicating that the vehicle has left is detected. The entire accumulated time from the vehicle's entry to its departure is recorded as the total parking time. Since gasoline-powered vehicles do not require the use of charging facilities, their act of occupying a charging parking space constitutes an unreasonable occupation of dedicated resources. Therefore, the system directly determines this total parking time as the abnormal occupation time of the charging parking space.

[0045] S104. When the target vehicle leaves the parking lot, based on the vehicle type, normal usage time of the charging space and / or abnormal occupancy time of the charging space, match the corresponding billing strategy to determine the total parking cost for the target vehicle.

[0046] In one implementation of this application, if the target vehicle is a gasoline-powered vehicle, the parking duration is obtained based on the time the target vehicle enters and exits the parking lot. Based on the parking duration and the abnormal occupancy time of the charging space, a first billing strategy is matched in the billing relationship mapping table. The first billing strategy involves obtaining the parking fee based on the parking duration and the parking unit price, obtaining a first additional fee based on the first additional fee coefficient corresponding to the gasoline-powered vehicle type and the abnormal occupancy time of the charging space, and obtaining the total parking fee based on the parking fee and the first additional fee.

[0047] Specifically, the system first records the time the vehicle enters the parking lot. This time is usually automatically captured and stored by the license plate recognition device or gate system at the parking lot entrance when the vehicle enters. When the vehicle is about to leave the parking lot and reaches the exit, the system again records the time the vehicle leaves through the recognition device at the exit. By calculating the difference between the departure time and the entry time, the system determines the total parking time of the fuel vehicle in the entire parking lot.

[0048] Furthermore, once the target vehicle is determined to be a gasoline vehicle, the previously determined abnormal occupancy time of the gasoline vehicle in the charging space is retrieved, and the preset billing relationship mapping table is invoked to match the first billing strategy.

[0049] In the specific calculation process of the first billing strategy, the basic parking fee is first calculated by multiplying the parking unit price uniformly set by the parking lot by the parking duration of the gasoline vehicle. Then, a first additional fee coefficient corresponding to the gasoline vehicle type is obtained. This coefficient, set according to management needs, reflects the punitive effect of gasoline vehicles occupying charging spaces. This coefficient is multiplied by the abnormal occupation duration of the charging space by the gasoline vehicle to obtain the first additional fee. This fee is specifically charged for the unreasonable behavior of gasoline vehicles occupying charging spaces. Finally, the calculated basic parking fee and the first additional fee are added together to obtain the total parking fee for the gasoline vehicle. This total fee includes both the cost of normal parking and the additional constraint on occupying the charging space. The final fee is displayed to the owner and settled when the vehicle leaves.

[0050] The specific calculation formula for the first billing strategy is: Total parking cost = T * parking unit price + T 占 *I 油 Where T is the parking duration in the parking lot, T 占 For the abnormal occupancy time of the charging space corresponding to the gasoline vehicle, I 油 This is the first additional cost coefficient.

[0051] In one implementation of this application, if the target vehicle is a new energy vehicle and its parking duration exceeds a preset parking space occupancy duration threshold, the parking duration is obtained based on the time the target vehicle enters and exits the parking lot. Based on the parking duration and the abnormal occupancy duration of the charging space, a second billing strategy is matched in the billing relationship mapping table. The second billing strategy involves obtaining the parking fee based on the parking duration and the parking unit price, obtaining a second additional fee based on the second additional fee coefficient corresponding to the new energy vehicle type and the abnormal occupancy duration of the charging space, and obtaining the total parking fee based on the parking fee and the second additional fee.

[0052] Specifically, similarly, the system first records the time a vehicle enters the parking lot. This time is typically captured and stored automatically by the license plate recognition device or gate system at the parking lot entrance when the vehicle enters. When the vehicle is about to leave the parking lot and reaches the exit, the system again records the time the vehicle leaves through the recognition device at the exit. By calculating the difference between the departure time and the entry time, the system determines the total parking time of the vehicle within the entire parking lot.

[0053] Furthermore, the abnormal occupancy duration of the charging space for the new energy vehicle, which was previously determined, is retrieved, and a second billing strategy applicable to the current parking situation is matched in a preset billing relationship mapping table.

[0054] In the execution of the second billing strategy, the system first multiplies the uniform parking price set by the parking lot with the calculated parking duration to obtain the basic parking fee. This fee corresponds to the amount payable for normal parking of a vehicle in the parking lot. Then, the system obtains the second additional fee coefficient corresponding to the new energy vehicle type. This coefficient is set based on the characteristics and management needs of new energy vehicles and is used to regulate the behavior of new energy vehicles leaving the charging space promptly after charging is completed. The second additional fee coefficient is multiplied by the abnormal occupancy time of the charging space to obtain the second additional fee. This fee addresses the behavior of a vehicle occupying a charging space beyond the reasonable stay time after charging is completed. Finally, the basic parking fee and the second additional fee are added together to obtain the total parking fee for the new energy vehicle. When the vehicle leaves the parking lot, the system displays this total fee and completes the payment settlement.

[0055] Furthermore, the specific calculation formula corresponding to the second billing strategy is: Total parking cost = T * parking unit price + T 占 *I 电 Where T is the parking duration in the parking lot, T 占 For the abnormal occupancy time of charging parking spaces corresponding to new energy vehicles, I 电 This is the second additional cost coefficient.

[0056] In one implementation of this application, if the target vehicle is a new energy vehicle and the parking time does not exceed a preset parking space occupancy time threshold, the parking time is obtained based on the time the target vehicle enters and exits the parking lot. Based on the parking time, a third billing strategy is matched in the billing relationship mapping table. The third billing strategy involves obtaining the total parking cost based on the parking time and the parking unit price, and sending corresponding charging coupons or charging points to the user of the target vehicle based on the charging time.

[0057] Specifically, similarly, the system first records the time a vehicle enters the parking lot. This time is typically captured and stored automatically by the license plate recognition device or gate system at the parking lot entrance when the vehicle enters. When the vehicle is about to leave the parking lot and reaches the exit, the system again records the time the vehicle leaves through the recognition device at the exit. By calculating the difference between the departure time and the entry time, the system determines the total parking time of the vehicle within the entire parking lot.

[0058] Furthermore, based on the parking duration in the parking lot, the corresponding third billing strategy is matched in the billing relationship mapping table.

[0059] Furthermore, the third billing strategy involves first multiplying the parking duration in the parking lot by a preset parking price to calculate the total parking cost for the vehicle. This cost is calculated based solely on the normal parking duration and does not include any additional fees incurred due to occupying a charging space, as the parking time after charging is within a reasonable range and does not result in resource waste. Secondly, the system retrieves the charging time recorded during the charging process for the new energy vehicle and generates corresponding charging coupons or charging points for the vehicle user based on this time.

[0060] Furthermore, the specific calculation formula corresponding to the third billing strategy is: Total parking cost = T * parking unit price; where T is the parking duration in the parking lot.

[0061] Figure 4 This is a flowchart illustrating a smart charging pile billing method based on image recognition, provided as an embodiment of this application. Figure 4 As shown, when a vehicle enters the charging area of ​​a charging station, the image acquisition module captures the license plate image to determine the vehicle type. If it is a gasoline vehicle, the abnormal occupancy time of the charging space is recorded. If it is a new energy vehicle, the charging gun is inserted and charging begins. Once charging is complete, the normal charging fee is calculated. If the vehicle occupies the charging space for more than a threshold (e.g., 30 minutes) after charging is complete and does not leave, the abnormal occupancy time is recorded. When the vehicle leaves the charging station and the parking lot, the linked billing module calculates the corresponding abnormal occupancy time and deducts additional fees. For new energy vehicles that leave the charging space within 30 minutes of completing charging, the system records good behavior and generates rewards such as charging coupons and points.

[0062] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0063] The above descriptions are merely embodiments of this application and are not intended to limit the scope of this application. For those skilled in the art, various modifications and variations can be made to the embodiments of this application. These modifications or substitutions do not cause the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions in the embodiments of this application.

Claims

1. A smart charging pile billing method based on image recognition, characterized in that, The method includes: The vehicle image of the target vehicle corresponding to the charging space in the parking lot is acquired to determine the vehicle type; wherein, the vehicle type includes new energy vehicles and gasoline vehicles; If it is the new energy type, then the normal usage time and / or abnormal occupation time of the charging space are determined based on the charging time and parking time of the target vehicle in the charging space. If it is the type of fuel vehicle, then the abnormal occupancy time of the charging space is determined based on the parking time of the target vehicle in the charging space. When the target vehicle leaves the parking lot, a corresponding billing strategy is matched based on the vehicle type, the normal usage time of the charging space and / or the abnormal occupancy time of the charging space to determine the total parking cost for the target vehicle.

2. The smart charging pile billing method based on image recognition according to claim 1, characterized in that, The step of acquiring the vehicle image of the target vehicle corresponding to the parking lot charging space to determine the vehicle type specifically includes: The vehicle image corresponding to the target vehicle is obtained by a camera device installed on the charging pile; The vehicle type is determined based on the license plate information in the vehicle image; wherein the license plate information includes at least the license plate number and the license plate color.

3. The smart charging pile billing method based on image recognition according to claim 1, characterized in that, If the vehicle is a new energy vehicle, the normal usage time and / or abnormal occupancy time of the charging space are determined based on the charging time and parking time of the target vehicle at the charging space, specifically including: If it is the new energy type, obtain the charging gun insertion time and start the charging timer; Once charging is complete, the charging timer ends, the charging duration is obtained, and the parking timer starts. When the target vehicle leaves the charging parking space, the parking timer ends, and the parking duration is obtained; The parking duration is compared with a preset parking space occupancy duration threshold, and the normal usage duration and / or abnormal occupancy duration of the charging parking space are determined based on the comparison results.

4. The smart charging pile billing method based on image recognition according to claim 3, characterized in that, The determination of the normal usage time and / or abnormal occupancy time of the charging space based on the comparison results specifically includes: When the parking duration exceeds the preset parking space occupancy duration threshold, the abnormal occupancy duration of the charging parking space is obtained based on the difference between the parking duration and the parking space occupancy duration threshold. When the parking duration is not greater than the preset parking space occupancy duration threshold, the parking duration is determined to be the normal usage duration of the charging parking space.

5. The smart charging pile billing method based on image recognition according to claim 1, characterized in that, If the vehicle is a gasoline-powered vehicle, then based on the parking time of the target vehicle in the charging space, the abnormal occupancy time of the charging space is determined, specifically including: If it is a gasoline vehicle, the parking timer will start when the target vehicle enters the charging parking space; When the target vehicle leaves the charging space, the parking timer ends, and the abnormal occupancy time of the charging space is determined based on the parking timer.

6. The smart charging pile billing method based on image recognition according to claim 1, characterized in that, When the target vehicle leaves the parking lot, based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space, a corresponding billing strategy is matched to determine the total parking cost for the target vehicle, specifically including: If the target vehicle is the type of fuel vehicle, the parking duration is obtained based on the time the target vehicle enters the parking lot and the time it leaves the parking lot; Based on the parking duration in the parking lot and the abnormal occupancy duration of the charging space, a first billing strategy is matched in the billing relationship mapping table; The first billing strategy is to obtain the parking fee based on the parking duration and parking unit price, obtain the first additional fee based on the first additional fee coefficient corresponding to the type of fuel vehicle and the abnormal occupancy duration of the charging space, and obtain the total parking fee based on the parking fee and the first additional fee.

7. The smart charging pile billing method based on image recognition according to claim 4, characterized in that, When the target vehicle leaves the parking lot, based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space, a corresponding billing strategy is matched to determine the total parking cost for the target vehicle, specifically including: If the target vehicle is a new energy vehicle and the parking time is greater than the preset parking space occupancy time threshold, the parking time is obtained based on the time the target vehicle enters the parking lot and the time it leaves the parking lot. Based on the parking duration in the parking lot and the abnormal occupancy duration of the charging space, a second billing strategy is matched in the billing relationship mapping table; The second billing strategy involves obtaining the parking fee based on the parking duration and the parking unit price, obtaining the second additional fee based on the second additional fee coefficient corresponding to the new energy type and the abnormal occupancy duration of the charging space, and obtaining the total parking fee based on the parking fee and the second additional fee.

8. The smart charging pile billing method based on image recognition according to claim 4, characterized in that, When the target vehicle leaves the parking lot, based on the vehicle type, the normal usage time of the charging space, and / or the abnormal occupancy time of the charging space, a corresponding billing strategy is matched to determine the total parking cost for the target vehicle, specifically including: If the target vehicle is a new energy vehicle and the parking time is not greater than the preset parking space occupancy time threshold, the parking time is obtained based on the time the target vehicle enters the parking lot and the time it leaves the parking lot. Based on the parking duration in the parking lot, a third billing strategy is matched in the billing relationship mapping table; The third billing strategy involves calculating the total parking cost based on the parking duration and parking unit price, and sending corresponding charging coupons or charging points to the user of the target vehicle based on the charging duration.

9. A smart charging pile billing system based on image recognition, characterized in that, The system includes: The vehicle recognition module is used to acquire vehicle images of target vehicles corresponding to charging spaces in parking lots in order to determine the vehicle type; wherein, the vehicle type includes new energy vehicles and gasoline vehicles; The new energy vehicle parking time determination module, if it is the new energy type, determines the normal usage time of the charging space and / or the abnormal occupation time of the charging space based on the charging time and parking time of the target vehicle in the charging space. The gasoline vehicle parking time confirmation module determines the abnormal occupancy time of the charging space based on the parking time of the target vehicle in the charging space if it is the gasoline vehicle type. The parking billing module is used to determine the total parking cost for the target vehicle by matching the corresponding billing strategy based on the vehicle information, the normal usage time of the charging space and / or the abnormal occupancy time of the charging space when the target vehicle leaves the parking lot.

10. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are capable of performing the method described in any one of claims 1-8.

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