Intelligent parking space searching and occupying method based on electric red operation system

Abstract

The invention discloses an intelligent parking space searching and occupying method based on an electric red operating system. The intelligent parking space searching and occupying method comprises the following steps that a camera array deployed in a parking lot area collects information of vehicles entering the parking lot area and parking space environment data in real time; the electric red operating system calls a preset charging hole position information base according to the vehicle information to obtain the position and three-dimensional coordinates of a charging hole, combines the parking space environment data, and generates a plurality of candidate parking schemes; carrying out comprehensive scoring on the candidate schemes by adopting a multi-dimensional scoring model; selecting an idle parking space corresponding to the highest score scheme as a target parking space, and sending target parking space information and a parking strategy to the user terminal; and generating a navigation path to guide the vehicle to drive to the target parking space, dynamically monitoring the occupation state of the target parking space, and re-triggering the distribution process if the target parking space is preempted. The utilization efficiency of parking space resources of the charging station is improved, the time cost and economic cost of parking and charging of the user are reduced, and efficient and intelligent charging and parking integrated service is provided for the user.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic parking, in particular to an intelligent parking space searching and occupying method based on an electric Hong operating system. BACKGROUND

[0002] With the popularization of intelligent vehicles and new energy technologies, the parking space adaptation technology in the automatic parking and charging scenarios has become the focus of the industry. In the prior art, the traditional automatic parking method mostly adopts the rear-end parking-in mode, but the charging ports of new energy vehicles are distributed at different positions of the vehicle body according to the vehicle type, and the charging cable of the charging pile has a limited length, which results in that the charging port cannot be effectively connected after the vehicle is parked in the garage, and the parking space needs to be repeatedly adjusted, which seriously affects the charging convenience. In addition, the current parking lot searching system can only identify idle parking spaces, and lacks comprehensive evaluation of the parking space environment and vehicle characteristics, and the parking space adaptation is poor and the parking difficulty is high.

[0003] And in the searching and occupying process of the current intelligent vehicle in the charging scenario, only the function of searching for an idle parking space is usually provided, and further intelligent evaluation cannot be performed, which results in that the found parking space may not be adapted to the current vehicle, or even if it is adapted, the parking difficulty is large, and the user gives up after failing to park, so that the user parking efficiency is low, and the user behavior cost is increased. SUMMARY

[0004] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the present application is to provide an intelligent parking space searching and occupying method based on an electric Hong operating system, which can improve the utilization efficiency of charging station parking space resources, reduce the time cost and economic cost of user parking and charging, enhance the convenience, safety and reliability of the charging process, and provide efficient and intelligent charging and parking integrated services for users, so as to solve the problems proposed in the background art.

[0005] The technical scheme adopted by the present application to solve its technical problems is: an intelligent parking space searching and occupying method based on an electric Hong operating system, comprising the following steps: A camera array deployed in a parking lot area collects vehicle information and parking space environment data entering the parking lot area in real time; The electric Hong operating system acquires the charging hole position and three-dimensional coordinates from a preset charging hole position information library according to the vehicle information, combines the parking space environment data, and generates a plurality of candidate parking schemes; A multi-dimensional scoring model is used to comprehensively score the candidate schemes, and the multi-dimensional scoring model includes charging compatibility, space adaptation, operation convenience, cost efficiency and safety redundancy; An idle parking space corresponding to the highest score scheme is selected as a target parking space, and target parking space information and parking strategy are sent to a user terminal; The generated navigation path guides the vehicle to the target parking space, and the occupancy state of the target parking space is dynamically monitored. If the target parking space is occupied, the allocation process is retriggered.

[0006] As a further improvement of the present application: the collection of vehicle information entering the parking area and parking space environment data includes: Through the camera array deployed at the entrance and passage nodes of the parking lot, vehicle image information is collected in real time, and the front, side and rear images of the vehicle are captured by the image recognition unit of the camera array. The vehicle type, body size and charging interface position are extracted, and the vehicle information is transmitted to the electric vehicle operating system in real time.

[0007] As a further improvement of the present application: the parking space environment data includes: the number of parked vehicles near the idle parking space, the setting direction of the charging pile, the length of the charging cable, and the distance between the idle parking space and the target parking space.

[0008] As a further improvement of the present application: the calling of the preset charging hole position information library to obtain the charging hole position and three-dimensional coordinates includes: According to the vehicle information, the position of the charging hole of the target vehicle and the three-dimensional coordinates of the charging hole relative to the vehicle body are obtained from the preset charging hole position information library. The preset charging hole position information library contains the position of the charging hole of the current market charging vehicle and the three-dimensional coordinates of the charging hole relative to the vehicle body.

[0009] As a further improvement of the present application: the generation of the candidate parking scheme includes: generating a candidate parking scheme based on idle parking space environment data, the candidate parking scheme including parking space ID, parking direction, number of occupied parking spaces, and relative position of charging hole to charging pile, and the idle parking space environment data including number of parked vehicles near the idle parking space, setting direction of the charging pile, length of the charging cable, and distance between the idle parking space and the target parking space.

[0010] As a further improvement of the present application: the multi-dimensional scoring model is used to comprehensively score the candidate scheme, including: Each candidate parking scheme is scored in five dimensions of charging compatibility, spatial adaptability, operation convenience, cost efficiency and safety redundancy by a weighted model. Different scoring intervals are divided for each dimension, and scoring rules are developed; Charging compatibility dimension: according to charging interface compatibility and charging cable length coverage ability, if incompatible, score 0; Spatial adaptability dimension: score is calculated according to the number of vehicles in adjacent parking spaces and the parking gap; Operation convenience dimension: assess the parking difficulty and driving difficulty according to the parking direction; Cost efficiency dimension: associated with the number of occupied parking spaces and driving distance; Safety redundancy dimension: detect charging cable winding risk and parking space obstruction; The charging pile compatibility weight is 15%, the space adaptability weight is 30%, the operation convenience weight is 25%, the cost efficiency weight is 20%, and the safety redundancy weight is 10%, and the total score is obtained by multiplying the scores of each dimension by the weight and then summing.

[0011] As a further improvement of the application: the scoring rules of the charging compatibility dimension include: if the charging interface type is compatible and the charging cable length is greater than or equal to the straight line distance from the charging hole to the charging pile, score 10 points; If the charging cable length is less than the straight line distance from the charging hole to the charging pile or the interface is incompatible, score 0 points; the interface type includes national standard alternating current pile, direct current fast charging pile and Tesla super charging pile.

[0012] As a further improvement of the application: the scoring rules of the space adaptability dimension include: surrounding parking density score: no adjacent vehicle 10 points, 1 vehicle 7 points, and more than or equal to 2 vehicles 4 points; Parking gap score: parking gap around the parking space is greater than 2 meters 10 points, 1-2 meters 6 points, and less than 1 meter 3 points; Space adaptability score = target parking space surrounding parking density score x 50% + parking gap score x 50%; The scoring rules of the operation convenience dimension include: Parking difficulty score: car head outward 8-10 points, car head inward 5-7 points, and transversely parked 3-5 points; Driving difficulty score: car head outward 9-10 points, car head inward 4-6 points, and transversely parked 2-3 points; Operation convenience score = parking difficulty score x 60% + driving difficulty score x 40%.

[0013] As a further improvement of the application: the scoring rules of the cost efficiency dimension include: Occupied parking space number score: 1 parking space 10 points, 2 parking spaces 5 points, and more than or equal to 3 parking spaces 0 points; Driving distance score: less than 10 meters 10 points, 10-20 meters 7 points, and more than 20 meters 4 points; Cost efficiency score = occupied parking space number score x 70% + driving distance score x 30%; The scoring rules of the safety redundancy dimension include: Charging cable winding risk score: no risk 10 points, slight risk 6 points, and high risk 0 points; Parking space obstruction affecting charging operation score: no obstruction 10 points, and obstruction 4 points; Safety redundancy dimension score = charging cable winding risk score + parking space obstruction affecting charging operation score.

[0014] As a further improvement of the present invention: the dynamic monitoring of the occupancy status of the target parking space includes: the Dianhong operating system sends an occupancy lock instruction to the parking lot management system to reserve the target parking space; the target parking space image is continuously collected through the parking lot camera array, and if other vehicles are identified entering, it is determined to be occupied.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes the precise collection and transmission of vehicle information through camera arrays and learning algorithms. The Dianhong operating system is based on vehicle information and real-time parking environment data, and uses quantitative scoring models and weighted calculations to conduct comprehensive evaluations from multiple dimensions such as charging compatibility, spatial adaptability, operational convenience, cost efficiency, and safety redundancy. It quickly matches the optimal parking space and parking plan for the vehicle, effectively solving parking adaptation problems caused by incompatible charging interfaces, insufficient charging cable length, and complex parking environment. At the same time, the system ensures that pre-allocated parking spaces are not occupied through parking space locking and real-time monitoring mechanisms, and dynamically handles abnormal situations during path navigation, combining with user terminals to achieve precise navigation and parking guidance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the method flow structure of the present invention. DETAILED DESCRIPTION

[0017] In order to enable a clear and complete understanding of the technical solution, the present invention is further described in conjunction with the embodiments and drawings. Obviously, the described embodiments are only some embodiments of the present invention, and all other embodiments obtained by technical personnel in the relevant field without making creative work are within the scope of protection of the present invention.

[0018] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0019] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0020] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0021] The application is a three-layer architecture composed of a camera perception layer, an electric Hong operating system core layer and a user terminal interaction layer.

[0022] Embodiments of the application provide an intelligent parking space searching and occupying method based on an electric Hong operating system, including the following steps: The camera array deployed in the parking area real-time collects vehicle information and parking space environment data entering the parking area; The electric Hong operating system calls a preset charging hole information library to obtain charging hole positions and three-dimensional coordinates according to the vehicle information, combines the parking space environment data, and generates a plurality of candidate parking schemes; A multi-dimensional scoring model is used to comprehensively score the candidate schemes, and the multi-dimensional scoring model includes charging compatibility, spatial adaptability, operation convenience, cost efficiency and safety redundancy; An idle parking space corresponding to the highest score scheme is selected as a target parking space, and target parking space information and parking strategies are sent to the user terminal; A navigation path is generated to guide the vehicle to the target parking space, and the occupancy state of the target parking space is dynamically monitored, and if it is occupied, the allocation process is retriggered.

[0023] The application realizes accurate collection and transmission of vehicle information through a camera array and a learning algorithm, and the electric Hong operating system uses a quantitative scoring model and weighted calculation based on vehicle information and real-time parking space environment data to comprehensively evaluate from multiple dimensions of charging compatibility, spatial adaptability, operation convenience, cost efficiency and safety redundancy, quickly match the optimal parking space and parking scheme for the vehicle, effectively solve the parking space adaptation problem caused by charging interface incompatibility, insufficient charging cable length and complex parking space surrounding environment, and through parking space locking and real-time monitoring mechanism, ensure that the pre-allocated parking space is not occupied, dynamically handle abnormal conditions in the path navigation process, and realize accurate navigation and parking guidance in combination with the user terminal.

[0024] In an embodiment of the application, the collection of vehicle information and parking space environment data entering the parking area includes: Through the camera array deployed at the entrance and passage nodes of the parking lot, vehicle image information is collected in real time, and the front, side and rear images of the vehicle are captured by the image recognition unit of the camera array, the vehicle model, body size and charging interface position are extracted, and the vehicle information is transmitted to the Dianhong operating system in real time. When entering the charging station or parking lot, the camera obtains vehicle information such as the vehicle model, and sends the vehicle information to the Dianhong operating system; in specific implementation, a high-definition camera array is arranged at the entrance of the parking lot, and an image recognition algorithm is provided. When the vehicle enters, the camera captures the front, side and rear images of the vehicle, and identifies the vehicle model, license plate and other information through a deep learning model. After identification is completed, the camera encapsulates the vehicle information (vehicle model, license plate, body size, etc.) into a data frame, and transmits it to the Dianhong operating system in real time through 5G or wired network.

[0025] The Dianhong operating system starts the intelligent positioning and occupying process according to the vehicle information, finds the target parking space, and sends the position information of the target parking space and the parking scheme to the user terminal. After the user terminal receives the position information of the target parking space, path navigation is performed until the target vehicle reaches the target parking space.

[0026] In addition, during the process of user navigation to the target parking space, if other users occupy the parking space, the charging cannot be performed, thereby ensuring the effectiveness of the positioning and occupying of the Dianhong operating system.

[0027] The Dianhong operating system starts the intelligent positioning and occupying process according to the vehicle information: In an embodiment of the present application, the parking space environment data includes: the number of parked vehicles near the idle parking space, the charging pile setting direction, the charging cable length, and the distance between the idle parking space and the target parking space obtained by the parking lot camera array. The idle parking space in the charging station at the current time is obtained, and the environment data of the idle parking space is obtained, such as the number of parked vehicles near the idle parking space, the charging pile setting direction information, the charging cable length, and the distance between the idle parking space and the target parking space obtained by the camera arranged in the charging station or the parking lot through image analysis technology; In an embodiment of the present application, the calling of the preset charging hole position information library to obtain the charging hole position and three-dimensional coordinates comprises: According to the vehicle information, the position of the charging hole of the target vehicle and the three-dimensional coordinates of the charging hole relative to the vehicle body are obtained from the preset charging hole position information library. The preset charging hole position information library contains the position of the charging hole of the current market vehicle type and the three-dimensional coordinates of the charging hole relative to the vehicle body.

[0028] According to the environment data of the idle parking space, the position of the charging hole of the target vehicle and the three-dimensional coordinates, the parking scheme of the target vehicle is determined; the parking scheme is related to the parking direction, the occupied parking space and the like; Further, the generating the candidate parking scheme comprises: generating the candidate parking scheme based on idle parking space environment data, the candidate parking scheme comprising a parking space ID, a parking direction, a number of occupied parking spaces, and a relative position of a charging hole to a charging pile, and the idle parking space environment data comprising a number of parked vehicles near the idle parking space, a setting direction of the charging pile, a length of the charging cable, and distances between vehicles around the idle parking space and the target parking space.

[0029] Enumerate all feasible directions: head in (forward driving), head out (reverse driving), and transverse parking (perpendicular to the parking line), and then calculate the number of occupied parking spaces, each idle parking space corresponding to a number of candidate parking schemes in the format of: {parking space ID, parking direction, number of occupied parking spaces, relative position of charging hole to charging pile}.

[0030] Score each parking scheme in terms of whether the target vehicle can normally use the charging pile, the distance to the parking space, the parking cost, and the difficulty of parking and driving away; Select the parking scheme with the highest score and the corresponding idle parking space as the target parking space; In an embodiment of the present application, the comprehensive scoring of the candidate schemes by using a multi-dimensional scoring model comprises: Scoring each candidate parking scheme in five dimensions: charging compatibility, spatial adaptability, operational convenience, cost efficiency, and safety redundancy, by using a weighting model, dividing different scoring intervals for each dimension, and formulating scoring rules; The charging compatibility dimension: scoring 0 if the charging interface is incompatible and the length of the charging cable cannot cover the distance; The spatial adaptability dimension: scoring according to the number of adjacent vehicles and the parking gap, which is the distance between the target parking space and the adjacent vehicles collected by the camera array; The operational convenience dimension: evaluating the difficulty of parking and driving away according to the parking direction; The cost efficiency dimension: relating to the number of occupied parking spaces and the driving distance; The safety redundancy dimension: detecting the risk of charging cable entanglement and the parking space obstructions; The charging pile compatibility weight is 15%, the spatial adaptability weight is 30%, the operational convenience weight is 25%, the cost efficiency weight is 20%, and the safety redundancy weight is 10%, and the total score is obtained by multiplying the scores of each dimension by the weight and summing them up.

[0031] The scoring rules of the charging compatibility dimension include: scoring 10 if the charging interface type is compatible and the length of the charging cable is greater than or equal to the straight-line distance from the charging hole to the charging pile; Scoring 0 if the length of the charging cable is less than the straight-line distance from the charging hole to the charging pile or the interface is incompatible; the interface types include national standard alternating current piles, direct current fast charging piles, and Tesla super charging piles.

[0032] The scoring rules of the space adaptability dimension include: peripheral parking density score: no adjacent vehicle 10 points, 1 vehicle 7 points, greater than or equal to 2 vehicles 4 points; Parking gap score: gap greater than 2 meters 10 points, 1-2 meters 6 points, less than 1 meter 3 points; Space adaptability score = target parking space peripheral parking density score x 50% + parking gap score x 50%; The scoring rules of the operation convenience dimension include: Parking difficulty score: head out 8-10 points, head in 5-7 points, transversely 3-5 points; Driving difficulty score: head out 9-10 points, head in 4-6 points, transversely 2-3 points; Operation convenience score = parking difficulty score x 60% + driving difficulty score x 40%.

[0033] The scoring rules of the cost efficiency dimension include: Occupied parking space number score: 1 parking space 10 points, 2 parking spaces 5 points, greater than or equal to 3 parking spaces 0 points; Driving distance score: less than 10 meters 10 points, 10-20 meters 7 points, greater than 20 meters 4 points; Cost efficiency score = occupied parking space number score x 70% + driving distance score x 30%; The scoring rules of the safety redundancy dimension include: Charging cable winding risk score: no risk 10 points, slight risk 6 points, high risk 0 points; Parking space obstruction affecting charging operation score: no obstruction 10 points, obstruction 4 points; Safety redundancy dimension score = charging cable winding risk score + parking space obstruction affecting charging operation score.

[0034] In one embodiment, for each candidate scheme, the scores are weighted according to the following dimensions (the scores and preset weights can be adjusted according to actual needs): ① Charging pile compatibility (weight 15%) If the charging interfaces are physically incompatible (such as national standard piles and Tesla super charging), score 0 points directly; Calculate the theoretical charging cable length according to the relative position of the charging hole and the charging pile. If the actual charging cable length cannot cover the theoretical charging cable length (calculate the straight line distance > cable length), score 0 points; If the charging interfaces are compatible and the actual charging cable length can cover the theoretical charging cable length, score 10 points.

[0035] ② Space adaptability (weight 30%) Surrounding parking density: score according to the number of adjacent parking spaces counted by the camera: no adjacent vehicle: 10 points; 1 adjacent vehicle: 7 points; 2 or more adjacent vehicles: 4 points.

[0036] Parking gap: score by image recognition of the distance between the surrounding vehicles and the target parking space: gap > 2 meters: 10 points; 1-2 meters: 6 points; < 1 meter: 3 points.

[0037] ③Operation convenience (weight 25%) Parking difficulty: Head outwards (reverse into the garage): good visibility, low difficulty, score 8-10 points; Head inwards (forward into the garage): requires precise control of the charging hole position, medium difficulty, score 5-7 points; Cross-parking: requires multiple parking spaces, high difficulty, score 3-5 points.

[0038] Difficulty of driving away: Head outwards: directly drive out, score 9-10 points; Head inwards: need to reverse, score 4-6 points; Cross-parking: usually needs to reverse multiple times to adjust direction when driving away, higher operation complexity than simply parking with head inwards, score 2-3 points.

[0039] ④Cost efficiency (weight 20%) Number of occupied parking spaces: 10 points for occupying 1 parking space; 5 points for occupying 2 parking spaces; 0 points for occupying 3 or more parking spaces (unless for special vehicle models).

[0040] Driving distance: path distance from the current vehicle position to the target parking space: < 10 meters: 10 points; 10-20 meters: 7 points; > 20 meters: 4 points.

[0041] ⑤Safety redundancy (weight 10%) Score for charging cable winding risk (e.g. need to bypass the vehicle): no risk 10 points, slight risk 6 points, high risk 0 points; Score for whether the parking space has obstructions (e.g. pillars) affecting charging operation: no obstruction 10 points, obstruction 4 points; Safety redundancy dimension score = charging cable winding risk score + whether the parking space has obstructions affecting charging operation score.

[0042] Based on the above five dimensions, calculate the weighted total score for all candidate parking solutions (total score = Σ (dimension score x weight)); prefer the solution with the highest total score, if the scores are the same, filter according to the following priorities: 1. Solution with fewer occupied parking spaces; 2. Solution with low difficulty of driving away; 3. Solution with short straight-line distance between the charging pile and the charging hole.

[0043] Exemplary, For each idle parking space, it is judged whether the charging pile is compatible with the target vehicle charging interface, and if not, it is directly scored as 0; According to the driving distance of the target vehicle and the parking space, the parking cost, the parking difficulty, the driving difficulty, the weighted scoring model is adopted to calculate the score of each parking scheme: Wherein, the closer the driving distance of the target vehicle and the parking space, the higher the score; Wherein, the parking cost is related to the number of occupied parking spaces in the present technical solution, and the more the number of occupied parking spaces, the lower the score; Due to the length of the charging cable and the position of the charging hole, some models may need to occupy two or more consecutive parking spaces to park, such as the Weilai ES8 horizontally parked in the exclusive area of the extreme K, occupying 3 parking spaces, because the charging port of Weilai automobile is in the right front fender position, and because the length of the charging cable of the extreme K exclusive charging pile is limited, the picture of ES8 occupying three parking spaces appears.

[0044] Wherein, the parking difficulty and the driving difficulty are related to the number of parked vehicles, the parking gap and the parking scheme near the idle parking space, the more the parked vehicles around, the smaller the interval, the higher the parking difficulty and the driving difficulty; In the parking direction, if the vehicle head is inserted into the parking space, the parking and driving difficulty is high, and if the vehicle head is outward, the parking and driving difficulty is relatively low.

[0045] In an embodiment of the present application, the dynamic monitoring of the target parking space occupancy state comprises: the electric Hong operating system sends a parking lock instruction to the parking lot management system to reserve the target parking space; the target parking space image is continuously collected by the parking lot camera array, and if other vehicles are identified to enter, it is determined to be occupied.

[0046] The present application realizes accurate collection and transmission of vehicle information through high-definition camera array and deep learning algorithm, and the electric Hong operating system uses quantitative scoring model and weighted calculation based on vehicle information and real-time parking environment data to comprehensively evaluate from multiple dimensions such as charging compatibility, space adaptability, operation convenience, cost efficiency and safety redundancy, quickly match the optimal parking space and parking scheme for the vehicle, effectively solve the parking space adaptation problem caused by charging interface incompatibility, charging cable length deficiency and complex environment around the parking space. At the same time, the system ensures that the pre-allocated parking space is not occupied through the parking lock and real-time monitoring mechanism, and dynamically handles abnormal situations in the path navigation process, and realizes accurate navigation and parking guidance combined with the user terminal. The whole scheme significantly improves the utilization efficiency of charging station parking space resources, reduces the time cost and economic cost of user parking and charging, enhances the convenience, safety and reliability of the charging process, and provides efficient and intelligent charging and parking integrated service for users.

[0047] In summary, the person skilled in the art can make other corresponding transformation schemes according to the technical scheme and technical concept of the present application without creative mental labor after reading the present application file, and all of them belong to the protection scope of the present application.

Claims

1. An intelligent parking space search and occupation method based on the Dianhong operating system, characterized in that: The following steps are involved: The camera array deployed in the parking lot area collects real-time information about vehicles entering the parking lot and parking space environment data; Based on vehicle information, the Dianhong operating system calls the preset charging port information database to obtain the charging port location and three-dimensional coordinates, combines the parking space environment data, and generates multiple candidate parking solutions; A multi-dimensional scoring model is used to comprehensively score candidate solutions, including charging compatibility, spatial adaptability, operational convenience, cost efficiency, and safety redundancy. Select the vacant parking space corresponding to the highest-scoring solution as the target parking space, and send the target parking space information and parking strategy to the user terminal; Generate a navigation path to guide the vehicle to the target parking space, and dynamically monitor the occupancy status of the target parking space. If it is occupied, the allocation process will be retriggered.

2. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1 is characterized in that: The collection of vehicle information and parking space environment data entering the parking area includes: Through the camera array deployed at the parking lot entrance and channel nodes, vehicle image information is collected in real time and the image recognition unit of the camera array captures the front, side and rear images of the vehicle, extracts the vehicle model, body size and charging port location, and transmits the vehicle information to the Dianhong operating system in real time.

3. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1 is characterized in that: The parking space environment data includes: the number of vehicles parked near the vacant parking spaces, the location of the charging piles, the length of the charging cable, and the distance between the vehicles around the vacant parking spaces and the target parking spaces obtained through the parking lot camera array.

4. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1 is characterized in that: The calling of a preset charging hole position information library to obtain the charging hole position and three-dimensional coordinates includes: Based on the vehicle information, the location of the target vehicle's charging port and the three-dimensional coordinates of the charging port relative to the vehicle body are obtained from a preset charging port location information library; the preset charging port location information library contains the current charging vehicle models on the market and the location of the charging port, as well as the three-dimensional coordinate information of the charging port relative to the vehicle body.

5. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1 is characterized in that: The generating of candidate parking plans includes: generating candidate parking plans based on vacant parking space environmental data, the candidate parking plans including parking space ID, parking direction, number of occupied parking spaces and relative position of charging hole to charging pile, vacant parking space environmental data including number of parking lots near vacant parking spaces, location of charging pile, length of charging line, and distance between vehicles around vacant parking spaces and target parking spaces.

6. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1 is characterized in that: The multi-dimensional scoring model is used to comprehensively score the candidate solutions, including: A weighted model is used to score each candidate parking solution in five dimensions: charging compatibility, spatial adaptability, operational convenience, cost efficiency, and safety redundancy. Each dimension is divided into different scoring ranges and scoring rules are formulated. Charging compatibility dimension: Based on the charging port compatibility and charging cable length coverage, if not compatible, the score will be 0; Spatial adaptability dimension: The score is calculated based on the number of vehicles in adjacent parking spaces and the parking gap; Operational convenience dimension: evaluates the difficulty of parking and driving out based on the parking direction; Cost efficiency dimension: correlating the number of occupied parking spaces and the distance traveled; Safety redundancy dimension: Detecting charging cable entanglement risks and parking space obstructions; The weight of charging pile compatibility is 15%, the weight of spatial adaptability is 30%, the weight of operational convenience is 25%, the weight of cost efficiency is 20%, and the weight of safety redundancy is 10%. The total score is obtained by multiplying the score of each dimension by the weight and adding them together.

7. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 6 is characterized in that: The scoring rules for the charging compatibility dimension include: if the charging interface type is compatible and the charging cable length is ≥ the straight-line distance from the charging port to the charging pile, score 10 points; If the charging cable length is less than the straight-line distance between the charging port and the charging pile or the interface is incompatible, the score will be 0 points; the interface types include national standard AC piles, DC fast charging piles and Tesla super charging piles.

8. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 6 is characterized in that: The scoring rules for the spatial adaptability dimension include: parking density score around the target parking space: no adjacent vehicles 10 points, 1 vehicle 7 points, 2 or more vehicles 4 points; Parking clearance score: 10 points for clearance greater than 2 meters, 6 points for clearance between 1 and 2 meters, and 3 points for clearance less than 1 meter; Spatial adaptability score = parking density score around the target parking space × 50% + parking clearance score × 50%; The scoring rules for the operational convenience dimension include: Parking difficulty rating: 8-10 points for front-facing outward, 5-7 points for front-facing inward, 3-5 points for horizontal parking; Driving out difficulty rating: 9-10 points for the vehicle facing outward, 4-6 points for the vehicle facing inward, and 2-3 points for parking sideways. Operational ease score = parking difficulty score × 60% + driving away difficulty score × 40%.

9. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 6 is characterized in that: The scoring rules for the cost efficiency dimension include: Scoring for number of occupied parking spaces: 10 points for 1 parking space, 5 points for 2 parking spaces, 0 points for 3 or more parking spaces; Driving distance score: less than 10 meters 10 points, 10-20 meters 7 points, more than 20 meters 4 points; Cost efficiency score = number of occupied seats score × 70% + driving distance score × 30%; The scoring rules for the security redundancy dimension include: Charging cable entanglement risk score: no risk 10 points, slight risk 6 points, high risk 0 points; Whether there are any obstructions in the parking space that affect charging operation: 10 points for no obstruction, 4 points for obstruction; Safety redundancy dimension score = whether the charging cable is entangled risk score + whether there are obstructions in the parking space that affect the charging operation score.

10. The method for finding and occupying an intelligent parking space based on the Dianhong operating system according to claim 1, characterized in that: The dynamic monitoring of the target parking space occupancy status includes: the Dianhong operating system sends an occupancy lock instruction to the parking lot management system to reserve the target parking space; the target parking space image is continuously collected through the parking lot camera array, and if other vehicles are identified entering, it is determined to be occupied.

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