Parking lot vehicle management method and system

Abstract

The invention provides a parking lot vehicle management method, and the method is characterized in that the method comprises the steps: recognizing the license plate and the vehicle type of a vehicle, carrying out the risk assessment of the vehicle according to the vehicle type, and determining the risk level of the vehicle according to the risk; based on the risk level of the vehicle, determining an optimal parking space for the vehicle by adopting a greedy algorithm, and generating a moving path; an inspection device is pasted on a vehicle, the vehicle is guided to run along a moving path, environment information around the vehicle is collected and sent to a main control system, and the main control system judges whether a fire occurs in the parking lot according to the received environment information. The problems that in the prior art, when a new energy automobile breaks out a fire, fire information cannot be transmitted to the outside in time, meanwhile, a certain blind area exists in manual inspection and video early warning, and the vehicle on fire cannot be effectively found in time at the initial stage of the fire, and fire control measures cannot be started are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle management, and in particular to a parking lot vehicle management method and system. Background Art

[0002] According to data released by the China Association of Automobile Manufacturers, the market share of new energy vehicle sales reached 41.1% in June 2024, and is expected to exceed 50% by the end of 2024. The proportion of new energy vehicles in parking lots will soar rapidly year by year. However, spontaneous combustion / fire combustion incidents of new energy vehicles occur frequently, and there are no more mature and effective fire-fighting methods except spraying water to cool down. The rapid increase in the number of new energy vehicles and the unresolved fire safety issues pose severe challenges to the daily operation and management of parking lots. Once a new energy vehicle catches fire in the parking lot, it is very easy for the fire to spread, and the fire will evolve from one new energy vehicle to multiple new energy vehicles in succession, expanding the scope of the fire, causing damage to multiple vehicles and releasing a large amount of chemical toxic gases. At the same time, it will cause great damage to the power supply circuits, buildings and other supporting facilities in the parking lot, resulting in huge property losses, threats to personal safety and environmental damage.

[0003] The existing technical directions are mainly concentrated in two dimensions: battery technology and vehicle information and status supervision. On the one hand, the industry continues to introduce new positive and negative electrode materials, improve battery pack structure and optimize thermal management strategies, reduce the probability of thermal runaway of battery cells from aspects such as materials, structure and control strategies, and take a variety of measures to control the heat released by thermal runaway of battery cells to be transferred to adjacent batteries, thereby evolving into heat diffusion. The battery management system also continuously monitors battery operation information, including voltage, current, temperature, insulation resistance and air tightness. If battery thermal runaway occurs, warning text or symbols or sounds such as battery failure and drive system failure will appear on the dashboard or center console in the car, prompting people in the car to stay away from the vehicle. The on-board terminal uploads alarm data to the enterprise platform and the national monitoring and management platform for new energy vehicles in real time, and the operator of the enterprise platform reminds the owner by phone / text message / APP to stay away from the vehicle; on the other hand, it relies on daily manual inspections or video surveillance by parking lot managers to monitor whether new energy vehicle fire accidents occur.

[0004] The sensors and monitoring platforms of new energy vehicles only have temperature information or fault information of the battery system, and no direct information related to the fire. Then, they only support the transmission of vehicle fault information between car companies and car owners, and do not support the interaction of fault information with surrounding adjacent vehicles, parking lot management systems, and fire protection systems. Once a fire occurs, the fault information of the burning vehicle cannot be transmitted to the parking lot management system, fire protection system, and surrounding adjacent vehicles, and there is no direct information related to the fire of the burning vehicle. Considering the fire characteristics of new energy vehicles, it is almost impossible to wait for the energy of the new energy vehicle battery to burn out. Finally, the time from battery thermal runaway to fire and explosion of new energy vehicles is short, and there are certain physical blind spots and time intervals in manual inspections. The video warning is limited by the number of on-site arrangements, shooting angles, and blind spots of vision, resulting in low recognition accuracy, and it is not possible to timely and effectively detect the burning vehicle in the early stage of the fire and initiate fire protection measures. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a parking lot vehicle management method and system, which solves the problem in the prior art that when a new energy vehicle catches fire, fire information cannot be transmitted to the outside world in a timely manner, and manual inspections and video warnings have certain blind spots, and cannot promptly and effectively detect the burning vehicle in the early stage of the fire and initiate fire-fighting measures.

[0006] According to an embodiment of the present invention, a parking lot vehicle management method includes:

[0007] Identify the vehicle's license plate and model, and assess the vehicle's riskiness based on the model, and determine the vehicle's riskiness level based on the riskiness;

[0008] Based on the danger level of the vehicle, a greedy algorithm is used to determine the optimal parking space for the vehicle and generate a moving path;

[0009] A patrol device is attached to the vehicle to guide the vehicle along a moving path, collect environmental information around the vehicle and send it to the main control system. The main control system determines whether a fire occurs in the parking lot based on the received environmental information.

[0010] Preferably, the risk levels include low risk, medium risk and high risk, and the vehicle models include new energy vehicles and traditional fuel vehicles;

[0011] If the identified vehicle type is a traditional fuel vehicle, no status assessment will be performed on the vehicle and the vehicle will be assumed to be of low risk.

[0012] Preferably, if the identified vehicle type is a new energy vehicle, the method for assessing the danger level of the vehicle is as follows:

[0013] Apply to the transportation department for permission to read vehicle information, and obtain multiple attribute information and performance information of the vehicle based on the license plate number;

[0014] Assign a weight to each attribute information and performance information, and use the weighted sum method to obtain the danger level of the vehicle.

[0015] Preferably, the method of using a greedy algorithm to determine the optimal parking space for a vehicle includes:

[0016] The parking lot is gridded to obtain multiple parking grids and channel grids;

[0017] Traverse all parking grids and determine the parking grid for the vehicle based on the constraints and the danger level of the vehicle.

[0018] Preferably, the current state of each parking grid is described using the following one-dimensional array:

[0019] (x,y,z,state,Adjacent)

[0020] Among them, x and y are the horizontal and vertical coordinates of the gridded parking space, z is the parking lot floor, state indicates the vehicle danger level of the parking space, and Adjacent indicates whether there are new energy vehicles in the parking space adjacent to the parking space;

[0021] After the parking grid where the vehicle is parked is determined, the current status of all parking grids is updated.

[0022] Preferably, after the parking lot is gridded, a plurality of fire hydrant grids are obtained, and all parking grids adjacent to the fire hydrant grids cannot be allocated to vehicles with low risk levels.

[0023] On the other hand, according to an embodiment of the present invention, a parking lot vehicle management system is also provided. The system adopts the above-mentioned parking lot vehicle management method, including: an identification device, a patrol device and a management main system.

[0024] The identification device is electrically connected to the main management system and is used to identify the license plate number and model of the vehicle and send the license plate number and model to the main management system;

[0025] The inspection device is connected to the main management system for guiding the vehicle to travel and collecting environmental information around the vehicle and sending it to the main management system;

[0026] The main management system is used to obtain multiple attribute information and performance information of the vehicle from the traffic department based on the license plate number, determine the vehicle's danger level, optimal parking space and movement path, and judge whether a fire has occurred in the parking lot based on environmental information.

[0027] Preferably, the inspection device comprises a first communication module, a shooting module, a temperature sensor, a smoke sensor and a display screen, and the first communication module is communicatively connected to the main management system.

[0028] Preferably, the main management system includes a second communication module, a classification module, an allocation module and a judgment module.

[0029] The second communication module is communicatively connected to the first communication module, the classification module is used to determine the vehicle danger level according to attribute information and performance information, the allocation module is used to determine the optimal parking space and movement path according to the danger level, and the judgment module is used to judge whether a fire occurs in the parking lot according to environmental information.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] By identifying the vehicle's license plate and model, the vehicle's danger level is assessed, and the optimal parking space is arranged for vehicles of different danger levels, especially for vehicles with high danger levels, so that they are parked as close to fire-fighting facilities and away from other vehicles as possible, to ensure that each vehicle can effectively delay the development of the burning vehicle in the event of a fire, and prevent the fire from spreading to surrounding vehicles and other facilities. In addition, by attaching inspection devices to the vehicles, the inspection devices can be allowed to move with the vehicles to collect environmental information in the parking lot, so as to promptly discover the fire in the parking lot, greatly shortening the interval from the discovery of the fire to the start of fire fighting, and at the same time, without making a large number of engineering modifications to the parking lot, the additional losses caused by spontaneous combustion / fire of new energy vehicles can be greatly reduced at a relatively low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a management system architecture diagram of an embodiment of the present invention.

[0033] Figure 2 The figure is a flow chart of the management method according to an embodiment of the present invention.

[0034] Figure 3 This is a parking lot grid map according to an embodiment of the present invention.

[0035] Figure 4 This is a vehicle parking space allocation diagram in case 1 of an embodiment of the present invention.

[0036] Figure 5 This is a vehicle parking space allocation diagram in case 2 of an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0038] like Figure 1As shown, the embodiment of the present invention proposes a parking lot vehicle management system, including: an identification device, a patrol device and a management main system,

[0039] Identification devices are set at the entrance and exit of the parking lot. The identification devices are electrically connected to the main management system. The identification devices at the entrance are used to identify the license plate number and model of the vehicle and send the license plate number and model to the main management system. The identification devices at the exit are used to identify the license plate number and inspection device of the vehicle, and notify the staff to retract the inspection device before the vehicle drives out of the parking lot.

[0040] The inspection device includes a first communication module, a shooting module, a temperature sensor, a smoke sensor and a display screen. The shooting module is used to shoot environmental information around the vehicle (inside the parking lot). The temperature sensor and the smoke sensor cooperate with each other to determine whether a fire occurs in the parking lot. The display screen is used to display the moving path and guide the vehicle to move to the corresponding parking space. The first communication module is connected to the management main system for communication, and is used to send environmental information to the management main system and receive the moving path sent by the management main system.

[0041] The main management system includes a second communication module, a classification module, an allocation module and a judgment module. The second communication module is communicatively connected to the first communication module, and is used to send a moving path to the inspection device and receive environmental information sent by the inspection device. The classification module is used to obtain multiple attribute information and performance information of the vehicle from the traffic department according to the license plate number, and determine the vehicle danger level according to the attribute information and performance information. The allocation module is used to determine the optimal parking space and moving path according to the danger level. The judgment module is used to determine whether a fire has occurred in the parking lot based on the environmental information.

[0042] When a vehicle enters the parking lot, the identification device captures the video image of the vehicle, identifies the vehicle as a new energy vehicle, and sends the license plate information to the main management system. The main management system sends a data request to the competent department and insurance agency, obtains the vehicle attribute information and performance information after authorization, and evaluates and grades the status of the new energy vehicle based on the attribute information and performance information. For new energy vehicles assessed as medium and high risk, the parking space management module of the main management system uses a greedy algorithm to calculate the optimal parking space based on the remaining spaces in the field, the distribution of new energy vehicles that have entered, the location of fire-fighting facilities, and other information, and sends the optimal parking space, moving path, and other information to the inspection device, and sticks the inspection device on the vehicle. Through the inspection device, effective monitoring measures such as vehicle smoke, temperature, and video images are implemented.

[0043] When the vehicle moves from the entrance to the parking space, the inspection device displays the moving path to the optimal parking space on the display screen, assisting the vehicle to park in the optimal parking space faster and more accurately. At the same time, the display module is used to scan and monitor other vehicles parked near the moving path.

[0044] At the exit, the recognition device identifies the license plate of the vehicle to be driven out and uploads it to the main management system. The main management system inquires whether the vehicle has a patrol device attached or the recognition device itself identifies whether the vehicle has a patrol device. If the vehicle is identified as having a patrol device attached, the staff is notified to retrieve the patrol device.

[0045] Regardless of whether the vehicle is parked or moving, once the inspection device detects smoke or temperature or video footage of the vehicle or nearby vehicles showing early characteristics of spontaneous combustion, it immediately sends an alarm signal to the main management system, including abnormal phenomenon description information and corresponding images and videos. The main management system notifies the staff to initiate disaster handling, and gives corresponding fire-fighting measures and recommended fire-fighting facilities based on the location and characteristics of the spontaneously combusting vehicle. It also informs the parking lot staff through broadcasting to notify the location of the spontaneous combustion and the disposal measures, and warns other personnel to stay away from the accident scene.

[0046] By identifying the vehicle's license plate and model, the vehicle's danger level is assessed, and the optimal parking space is arranged for vehicles of different danger levels, especially for vehicles with high danger levels, so that they are parked as close to fire-fighting facilities and away from other vehicles as possible, to ensure that each vehicle can effectively delay the development of the burning vehicle in the event of a fire, and prevent the fire from spreading to surrounding vehicles and other facilities. In addition, by attaching inspection devices to the vehicles, the inspection devices can be allowed to move with the vehicles to collect environmental information in the parking lot, so as to promptly discover the fire in the parking lot, greatly shortening the interval from the discovery of the fire to the start of fire fighting, and at the same time, without making a large number of engineering modifications to the parking lot, the additional losses caused by spontaneous combustion / fire of new energy vehicles can be greatly reduced at a relatively low cost.

[0047] On the other hand, Figure 2 As shown, an embodiment of the present invention further provides a parking lot vehicle management method, which is applied to the above-mentioned parking lot vehicle management system and includes the following steps:

[0048] Identify the vehicle's license plate and model, and assess the vehicle's riskiness based on the model, and determine the vehicle's riskiness level based on the riskiness;

[0049] In this embodiment, the new energy vehicle status assessment and classification adopts a rule scoring method, and scores the indicators such as sales price, technology maturity, battery type, capacity, energy, factory age, cumulative number of fires of vehicle models, number of fires in the past six months, number of commercial insurance claims in the past year, number of commercial insurance claims in the past six months according to the rule weights, as shown in Table 1. The total risk score is obtained by weighted summation. If the score is less than 10 points, it is low risk, if the score is greater than or equal to 10 points and less than 20 points, it is medium risk, and if the score is greater than or equal to 20 points, it is judged as high risk. If the identified vehicle model is a traditional fuel vehicle, the vehicle will not be assessed for status, and the vehicle is assumed to be low risk.

[0050] Table 1 New energy vehicle safety status level evaluation table

[0051]

[0052]

[0053] The above information comes from the transportation department and insurance agency after authorization. When the main management system identifies the entering vehicle as a new energy vehicle, the main system will send a data request to the transportation department and insurance agency. After authorization, it will obtain the basic vehicle information and usage status information except for consumer privacy.

[0054] When the evaluation results of the vehicle model are retrieved in the China Electric Vehicle Fire Index Evaluation Database, the evaluation results are directly assigned to the technology maturity. When the evaluation result record is not retrieved for the vehicle model, the objective + subjective comprehensive indicator evaluation method is used, and the weighted summation method is used to perform a star-level evaluation of technology maturity. The evaluation indicators are shown in Table 2. Each objective item and subjective item is scored as 1 point, and the total score is 10 points. The scores of each indicator are summarized as the total evaluation score of the technology maturity of the vehicle model. The total score ≥ 9 points means the technology maturity is 1; 8 points ≤ total score is less than 9 points, and the technology maturity is 0.8; 7 points ≤ total score is less than 8 points, and the technology maturity is 0.6; 6 points ≤ total score is less than 7 points, and the technology maturity is 0.4; total score < 6 points, technology maturity is 0.2

[0055] Table 2 Technology maturity evaluation table

[0056]

[0057]

[0058] Based on the danger level of the vehicle, a greedy algorithm is used to determine the optimal parking space for the vehicle and generate a moving path;

[0059] like Figure 3As shown, the present invention takes a floor with 34 parking spaces as an example. First, the entire parking lot is gridded, each parking space corresponds to a grid, a fire hydrant corresponds to a grid, and the passage is split, and each small section of the passage also corresponds to a grid, thereby obtaining multiple parking grids (grids with serial numbers in the figure), fire hydrant grids and passage grids.

[0060] In order to make the parking position of the vehicle more accurate, a three-dimensional space diagram is drawn up according to the layout of the parking lot, which is divided into x, y, and z axes, where x and y are the horizontal and vertical coordinates of the gridded parking spaces, respectively, and z represents the parking lot floor. According to the parking status of each parking grid, we describe the empty space as 0, where low-risk new energy vehicles, medium-risk new energy vehicles, and high-risk new energy vehicles are described as 1, 2, and 3 respectively, and traditional fuel vehicles are described as 4. In order to make the parking space information more accurate and fast, we also take into account the information of whether there are new energy vehicles in the adjacent parking spaces. For example, the adjacent parking spaces of parking space No. 30 are 29, 28, 27, 26, and 31, the adjacent parking spaces of parking space No. 3 are 2 and 4, and the adjacent parking spaces of parking space No. 18 are 17. When there is no new energy vehicle in the adjacent parking space, it is described as 0, and when there is a new energy vehicle in the adjacent parking space, it is described as 1.

[0061] The parking space information of each parking grid is described by a one-dimensional array Parking_Sport. The order of array elements is as follows: (x, y, z, state, Adjacent), where state represents the vehicle danger level of the parking space, and Adjacent represents whether there are new energy vehicles in the parking spaces adjacent to the parking space. For example, (3, 4, 1, 0, 1) represents that parking space No. 28 on the first floor is vacant and there is a new energy vehicle parked adjacent to it. (5, 6, 1, 3, 0) represents that parking space No. 4 on the first floor is a high-risk new energy vehicle and there is no new energy vehicle adjacent to it.

[0062] In the present invention, it is assumed that the length and width of a parking space and a fire hydrant space are both 6m×2.5m, the parking lot has only one floor, and there are 4 fire hydrants. When all 34 parking spaces are full, there are 3 high-risk new energy vehicles, 5 medium-risk new energy vehicles, 9 low-risk new energy vehicles, and 17 traditional fuel vehicles.

[0063] Considering that if medium-risk or high-risk new energy vehicles catch fire accidentally, if there are new energy vehicles with higher risk factors next to them, it is easy to ignite the adjacent vehicles, thus causing a larger fire, so the following constraints are set:

[0064] (1) In ordinary single-row parking spaces, traditional fuel vehicles can be parked together with low-risk, medium-risk, and high-risk new energy vehicles. However, when parking new energy vehicles, medium-risk and high-risk vehicles cannot be parked next to any new energy vehicles. Only low-risk new energy vehicles can be parked next to each other.

[0065] (2) In actual situations, there will be double-row parking spaces in parking lots. In order to avoid the chain reaction caused by a car spontaneous combustion and minimize the losses, new energy vehicles with medium or high risk are not allowed to be parked adjacent to or diagonally with any new energy vehicles. They can only be parked with traditional fuel vehicles.

[0066] (3) If a high-risk new energy vehicle is currently entering and there is an empty parking space next to a fire hydrant, the high-risk new energy vehicle will be given priority to park next to the fire hydrant. Figure 4 As shown. For parking spaces next to fire hydrants in parking lots, the parking priority for traditional fuel vehicles and new energy vehicles is as follows: high risk → medium risk → low risk = traditional fuel vehicles.

[0067] (4) In principle, low- and medium-risk new energy vehicles and traditional fuel vehicles do not have priority to park next to fire hydrants. Medium-risk new energy vehicles, on the premise of not parking adjacent to new energy vehicles, have priority to park in single-row parking spaces (only when there are no vacant spaces in a single row can they choose to park in double rows). Special note: If the above conditions are met, if a medium-risk new energy vehicle is currently entering, and there are vacant spaces next to a fire hydrant, the medium-risk new energy vehicle can also choose to park next to a fire hydrant or in a single-row vacant parking space.

[0068] (5) When arranging parking for newly entered new energy vehicles, in principle, try to consider parking them at a location that is as far away from existing new energy vehicle parking spaces as possible.

[0069] Next, we will use the greedy algorithm to allocate parking spaces in two cases:

[0070] Case 1:

[0071] Assuming that there are no vehicles parked in the parking lot (that is, there are no vehicles parked in the parking lot in the initial state), firstly park the three high-risk new energy vehicles in the parking spaces near the fire hydrants so that the fire source can be quickly extinguished in an emergency. Randomly select three parking spaces from the eight parking spaces, in this case, (1, 2, 1, 3, 0), (2, 6, 1, 3, 0) and (8, 6, 1, 3, 0).

[0072] Then arrange for the medium-risk new energy vehicles to park. Due to restrictions 1, 3, and 4, high-risk new energy vehicles cannot be adjacent to medium-risk new energy vehicles; single-row parking spaces are preferred as much as possible; when medium-risk new energy vehicles enter the parking lot, there are empty spaces next to the fire hydrants, so they can park first. Therefore, in this case, the five medium-risk new energy vehicles are parked at (2, 1, 1, 2, 0), (8, 1, 1, 2, 0), (1, 5, 1, 2, 0), (10, 5, 1, 2, 0), and (10, 2, 1, 2, 0).

[0073] Secondly, choose low-risk new energy vehicles to park. Since new energy vehicles cannot park close to each other and are preferred to park at locations far away from existing new energy vehicle parking spaces, this case selects nine locations: (5, 1, 1, 1), (7, 1, 1, 1), (4, 3, 1, 1), (3, 4, 1, 1), (8, 3, 1, 1), (7, 4, 1, 1), (5, 4, 1, 1), (6, 3, 1, 1) and (10, 5, 1, 1) to park low-risk new energy vehicles.

[0074] Finally, the remaining 17 traditional fuel vehicles are selected to park in the remaining parking spaces, such as Figure 4 As shown, the algorithm constraints are met.

[0075] Case 1 summary: In this case, we first arranged the high-risk new energy vehicles, ensuring that they were close to the fire hydrants first. Then we arranged the medium-risk new energy vehicles, avoiding them from being adjacent to high-risk and other medium-risk vehicles. Then we placed the low-risk new energy vehicles in the remaining parking spaces, and finally filled in the traditional fuel vehicles. This arrangement followed all safety constraints and minimized the potential fire hazards.

[0076] Case 2:

[0077] The above case 1 is a relatively ideal situation. This case 2 combines the actual situation and considers that there are already some different types of vehicles parked in the parking lot. How to reasonably arrange the remaining vehicles to park using the greedy algorithm.

[0078] To make the case more realistic, we numbered the 34 cars in Excel and processed them in random order as the order of vehicle entry in Case 2, as shown in the table. This case assumes that there are 10 cars parked in the parking lot (the first 10 cars in Excel are used as a reference), including 4 traditional fuel vehicles, 4 low-risk new energy vehicles, 1 medium-risk new energy vehicle, and 1 high-risk new energy vehicle.

[0079]

[0080] The 10 cars are randomly parked at the following positions: (1, 4, 1, 4, 0), (2, 1, 1, 2, 0), (2, 6, 1, 3, 0), (5, 1, 1, 4, 1), (5, 6, 1, 1, 0), (6, 1, 1, 1, 0), (6, 4, 1, 1, 0), (7, 4, 1, 4, 1), (8, 4, 1, 1, 0) and (10, 3, 1, 4, 0). Subsequent vehicles will enter the parking lot in the order of the random order in the table above, 4 cars at a time, until the parking lot is full.

[0081] Subsequently, 1 traditional fuel car → 1 traditional fuel car → 1 medium-risk new energy car → 1 traditional fuel car enter and park in turn. Combined with the constraints, when the medium-risk new energy car enters, there are extra spaces next to the fire hydrant. In order to ensure that the current optimal solution is met, the medium-risk new energy car is randomly selected to park at a position next to a fire hydrant.

[0082] Following the above situation, 1 traditional fuel vehicle → 1 traditional fuel vehicle → 1 low-risk new energy vehicle → 1 medium-risk new energy vehicle enters and stops in sequence.

[0083] Considering the current optimal solution and combining the constraints, enter in sequence: 1 traditional fuel vehicle → 1 low-risk new energy vehicle → 1 traditional fuel vehicle → 1 high-risk new energy vehicle and stop.

[0084] Afterwards, 1 low-risk new energy vehicle → 1 medium-risk new energy vehicle → 1 traditional fuel vehicle → 1 traditional fuel vehicle entered and stopped in sequence.

[0085] Afterwards, 1 low-risk new energy vehicle → 1 traditional fuel vehicle → 1 low-risk new energy vehicle → 1 traditional fuel vehicle entered and stopped in sequence.

[0086] When all 34 parking spaces are full, there are still 1 medium-risk new energy vehicle, 1 high-risk new energy vehicle, and 2 traditional fuel vehicles left. The order is 1 medium-risk new energy vehicle → 1 traditional fuel vehicle → 1 high-risk new energy vehicle → 1 traditional fuel vehicle. The final parking distribution is as follows: Figure 5 shown.

[0087] Case 2 summary: High-risk new energy vehicles are prioritized to be placed near fire hydrants to facilitate quick handling of possible fires. And ensure that medium-risk new energy vehicles are not adjacent to other medium-risk or high-risk new energy vehicles to avoid chain reactions. Use a greedy algorithm to arrange vehicles step by step, ensuring that the current optimal choice is met at each step and all constraints are met as much as possible. This case shows how to make reasonable vehicle arrangements in actual situations, considering vehicle types, parking space layouts, and safety constraints. In this way, the safety and effective use of parking lots are maximized.

[0088] After obtaining the optimal parking space for the vehicle, a moving path is generated according to the grid corresponding to the entrance position and the optimal parking space, and the moving path and the optimal parking space are sent to the inspection device and displayed on the display screen.

[0089] A patrol device is attached to the vehicle to guide the vehicle along a moving path, collect environmental information around the vehicle and send it to the main control system. The main control system determines whether a fire occurs in the parking lot based on the received environmental information.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A parking lot vehicle management method, characterized in that: include: Identify the vehicle's license plate and model, and assess the vehicle's riskiness based on the model, and determine the vehicle's riskiness level based on the riskiness; Based on the danger level of the vehicle, a greedy algorithm is used to determine the optimal parking space for the vehicle and generate a moving path; A patrol device is attached to the vehicle to guide the vehicle along a moving path, collect environmental information around the vehicle and send it to the main control system. The main control system determines whether a fire occurs in the parking lot based on the received environmental information.

2. A parking lot vehicle management method as claimed in claim 1, characterized in that: The risk levels include low risk, medium risk and high risk, and the vehicle models include new energy vehicles and traditional fuel vehicles; If the identified vehicle type is a traditional fuel vehicle, no status assessment will be performed on the vehicle and the vehicle will be assumed to be of low risk.

3. A parking lot vehicle management method as claimed in claim 2, characterized in that: If the identified vehicle is a new energy vehicle, the risk assessment method for the vehicle is as follows: Apply to the transportation department for permission to read vehicle information, and obtain multiple attribute information and performance information of the vehicle based on the license plate number; Assign a weight to each attribute information and performance information, and use the weighted sum method to obtain the danger level of the vehicle.

4. A parking lot vehicle management method as claimed in claim 2, characterized in that: Methods for using a greedy algorithm to determine the optimal parking space for a vehicle include: The parking lot is gridded to obtain multiple parking grids and channel grids; Traverse all parking grids and determine the parking grid for the vehicle based on the constraints and the danger level of the vehicle.

5. A parking lot vehicle management method as claimed in claim 4, characterized in that: The current state of each parking grid is described using the following one-dimensional array: (x,y,z,state,Adjacent) Among them, x and y are the horizontal and vertical coordinates of the gridded parking space, z is the parking lot floor, state indicates the vehicle danger level of the parking space, and Adjacent indicates whether there are new energy vehicles in the parking space adjacent to the parking space; After the parking grid where the vehicle is parked is determined, the current status of all parking grids is updated.

6. A parking lot vehicle management method as claimed in claim 4, characterized in that: After the parking lot is gridded, multiple fire hydrant grids will be obtained. All parking grids adjacent to the fire hydrant grids cannot be allocated to vehicles with low risk levels.

7. A parking lot vehicle management system, characterized by: The system adopts a parking lot vehicle management method as described in any one of claims 1 to 6, including: an identification device, a patrol device and a main management system, The identification device is electrically connected to the main management system and is used to identify the license plate number and model of the vehicle and send the license plate number and model to the main management system; The inspection device is connected to the main management system for guiding the vehicle to travel and collecting environmental information around the vehicle and sending it to the main management system; The main management system is used to obtain multiple attribute information and performance information of the vehicle from the traffic department based on the license plate number, determine the vehicle's danger level, optimal parking space and movement path, and judge whether a fire has occurred in the parking lot based on environmental information.

8. A parking lot vehicle management system as claimed in claim 7, characterized in that: The inspection device includes a first communication module, a shooting module, a temperature sensor, a smoke sensor and a display screen. The first communication module is in communication connection with the main management system.

9. A parking lot vehicle management system as claimed in claim 8, characterized in that: The main management system includes a second communication module, a classification module, an allocation module and a judgment module. The second communication module is communicatively connected to the first communication module, the classification module is used to determine the vehicle danger level according to attribute information and performance information, the allocation module is used to determine the optimal parking space and movement path according to the danger level, and the judgment module is used to judge whether a fire occurs in the parking lot according to environmental information.

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