Intelligent management method and system for parking lot

Abstract

The invention discloses an intelligent management method for a parking lot, and the method comprises the following steps: S1, vehicle recognition: collecting the image information of a vehicle when the vehicle enters an entrance of the parking lot, and recognizing the identity information of the vehicle through a license plate recognition system; s2, vacancy detection: acquiring the occupation state of each parking space in the parking lot in real time, and uploading the vacancy parking space information to the central management system; s3, path recommendation: the central management system calculates an optimal parking path according to the vehicle entrance position, the real-time parking space information and the traffic flow direction of the parking lot, and pushes guide information to a navigation display screen at the entrance or a user mobile phone terminal; and S4, charging and payment: before the vehicle leaves, the parking fee is automatically calculated according to the entrance time and the exit time, the problems of inaccurate identification, inflexible guidance, inconvenient payment, opaque management and the like in the prior art are solved, and the user experience and the parking resource utilization efficiency are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent management technology for parking lots, specifically to an intelligent management method and system for parking lots. Background Technology

[0002] As the number of motor vehicles in cities continues to rise, the problem of parking difficulties in cities is becoming increasingly prominent. Traditional parking lots have exposed many shortcomings in vehicle management, parking space allocation and user services. At present, most parking lots still use simple license plate recognition technology and manual assisted management methods, lacking systematic intelligent scheduling capabilities. In terms of vehicle recognition, traditional systems have low recognition rates, especially when license plates are damaged, there is insufficient light at night, or the license plates are non-standard, which can easily lead to recognition errors or failure to recognize the vehicle. In terms of parking space allocation, most parking lots do not realize real-time availability perception and dynamic guidance, which causes users to have to repeatedly walk around the parking lot to find a parking space, which not only increases congestion but also affects the user experience. In terms of route guidance, most existing systems only provide static or simple prompts for the nearest parking space, lacking the ability to make intelligent recommendations based on real-time status and individual preferences; Therefore, there is an urgent need for an efficient, intelligent, and integrated parking management method to achieve comprehensive perception and scheduling of vehicles, parking spaces, and data, thereby improving overall operational efficiency and user satisfaction. Summary of the Invention

[0003] This invention provides an intelligent management method and system for parking lots, which can effectively solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent management method for parking lots, comprising the following steps: S1. Vehicle Recognition: When a vehicle enters the parking lot entrance, vehicle image information is collected, and the vehicle identity information is identified using a license plate recognition system. S2. Vacancy Detection: Real-time acquisition of the occupancy status of each parking space in the parking lot and uploading vacancy information to the central management system; S3. Route Recommendation: The central management system calculates the optimal parking route based on the vehicle entrance location, real-time parking space information, and parking lot traffic flow, and pushes the guidance information to the entrance navigation display screen or user mobile terminal. S4. Billing and Payment: Before the vehicle leaves, the parking fee is automatically calculated based on the entry and exit times. S5. Data Recording and Analysis: Upload vehicle entry and exit records, parking space usage, and payment information to the cloud platform for subsequent data analysis, user behavior modeling, and management optimization.

[0005] According to the above technical solution, in step S1, the vehicle image information is collected by capturing the front image of the vehicle through a high-definition camera, extracting the license plate area using image processing technology, and identifying the license plate number using a character recognition algorithm. The identified license plate information is compared with the vehicle database in the central management system to determine whether the vehicle is a registered user vehicle. If it is a registered user vehicle, recommended parking spaces or route information are allocated in advance based on its historical parking preferences or reservation information.

[0006] According to the above technical solution, in S2, an independent geomagnetic sensor or ultrasonic sensor is set in each parking space to sense the occupancy status of the parking space in real time, and the detection results are periodically uploaded to the central management system via wireless communication. When a change in parking space status is detected, the system immediately refreshes the status and performs local preprocessing of multiple parking space statuses through the edge computing module.

[0007] According to the above technical solution, the path recommendation step in S3 includes: When calculating the optimal route, the central management system comprehensively considers factors such as the parking space reservation status, vehicle size, traffic flow in the parking lot, real-time congestion of passageways, parking space types including regular parking spaces, accessible parking spaces, electric vehicle charging parking spaces, and user preference settings. By constructing a weighted graph model, parking spaces and path nodes are modeled, and the shortest path algorithm is used for path optimization. The generated recommended route will be displayed on the navigation screen at the parking lot entrance, and real-time navigation information will be provided through mobile applications using graphical animations or voice prompts.

[0008] According to the above technical solution, S3 also includes a parking space reservation step. The parking space reservation includes the user submitting a reservation request through a mobile terminal application, vehicle system or third-party platform. The reservation request includes the target time period, vehicle information and parking space preference. The central management system matches a suitable parking space based on the current available parking space information and sets the parking space status to locked. At the same time, it pushes the reservation confirmation information and navigation route to the user's terminal. If the user does not arrive within the specified time, the system will automatically release the parking space after the buffer period. After a user drives into a reserved parking space, the system automatically records the parking space as occupied and updates it to vacant after the user leaves.

[0009] According to the above technical solution, the central management system in S4 automatically records the vehicle's entry and exit times and calculates the amount payable according to the preset billing rules. After payment is completed, the system sends an electronic invoice or payment voucher to the user and updates the vehicle's historical payment records.

[0010] According to the above technical solution, the central management system in S5 uploads data such as vehicle entry and exit records, parking space usage frequency, and user payment behavior to the cloud data platform, and performs statistical analysis and model training based on data mining algorithms. The analysis results are used to generate parking space heatmaps, user behavior profiles, abnormal behavior detection, and parking space scheduling prediction models. This automatically adjusts guidance strategies, optimizes parking space allocation plans, and supports managers in making operational decisions on a visual platform.

[0011] According to the above technical solution, an intelligent management system for parking lots includes: Vehicle recognition module: This module is located at the entrance of the parking lot and includes a high-definition camera and an image processing unit. It is used to collect image information of entering vehicles and identify license plate numbers through character recognition algorithms. Parking space detection module: Used to monitor the occupancy status of each parking space in the parking lot in real time. This module includes multiple geomagnetic sensors, ultrasonic detectors or video acquisition units, which can collect the real-time status of each parking space and send it to the central management system. Route recommendation module: Connects to the data dispatch center of the central management system, and is used to recommend routes based on vehicle entrance location, distribution of available parking spaces, parking space type, and user preferences or reservation information; Billing and payment module: includes time recording unit, billing rule engine and payment interface, used to record vehicle entry and exit time and automatically calculate parking fees payable; Reservation Management Module: This module allows users to reserve parking spaces in advance via mobile devices, lock the spaces based on the reserved time period and availability, and push navigation route information to users before arrival. Data recording and analysis module: This includes a data acquisition interface, a cloud storage platform, and a data mining unit, used to collect and organize vehicle entry and exit records, parking space usage information, and user payment behavior information.

[0012] According to the above technical solution, the vehicle recognition module is connected to the vehicle database to determine whether the vehicle is a registered user and transmits the recognition result to the central management system. The parking space detection module supports automatic refresh of status changes and can be combined with edge computing devices for local data preprocessing.

[0013] According to the above technical solution, the vehicle recognition module monitors the parking behavior of vehicles in the parking space in real time through video monitoring devices or sensor devices; Behavioral analysis is performed on the collected parking images or sensor data to identify any abnormal behavior. Once abnormal behavior is detected, the system automatically issues a warning and notifies users via user terminals, management terminals, or on-site broadcasting systems. If necessary, it can trigger restrictions on operations or record credit deductions to achieve intelligent control over illegal parking and guide users to regulate their behavior.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention has a scientific and reasonable structure, is safe and convenient to use, and comprehensively improves the level of intelligence and automation of parking lot management. It can achieve high-precision extraction and recognition of vehicle license plates, and can be linked with the database to determine whether the vehicle identity is a registered user, thereby supporting differentiated services. Secondly, in terms of parking space management, by installing geomagnetic, ultrasonic or visual sensing devices, the occupancy status of each parking space can be collected in real time, and intelligent scheduling through the central management system can recommend the optimal parking space and route to users, which greatly shortens the parking search time and alleviates traffic congestion in the parking lot. In terms of route recommendation, the system uses a route optimization algorithm to generate the best parking route based on dynamic factors such as entrance location, parking space status, user preferences and reservation information, and provides real-time guidance via navigation screen or mobile terminal. The system can not only generate personalized fees based on multiple dimensions such as parking duration, membership level and reservation information, but also supports a variety of convenient payment methods such as QR code payment, license plate contactless payment, mobile wallet and coupon deduction. Finally, by uploading all vehicle entry and exit records, parking space usage and payment records to the cloud platform, big data analysis algorithms are used to model user behavior, generate heat maps, usage rate analysis and scheduling prediction, and help optimize operations and make management decisions. Therefore, this invention not only solves the problems of inaccurate identification, unreliable guidance, inconvenient payment, and opaque management in the prior art, but also significantly improves user experience and parking resource utilization efficiency. Attached Figure Description

[0015] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0016] In the attached diagram: Figure 1 This is a schematic diagram of the method steps of the present invention; Figure 2 This is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0018] Example: Figure 1-2As shown, the present invention provides a technical solution: an intelligent management method for parking lots, comprising the following steps: S1. Vehicle Recognition: When a vehicle enters the parking lot entrance, vehicle image information is collected, and the vehicle identity information is identified using a license plate recognition system. S2. Vacancy Detection: Real-time acquisition of the occupancy status of each parking space in the parking lot and uploading vacancy information to the central management system; S3. Route Recommendation: The central management system calculates the optimal parking route based on the vehicle entrance location, real-time parking space information, and parking lot traffic flow, and pushes the guidance information to the entrance navigation display screen or user mobile terminal. S4. Billing and Payment: Before the vehicle leaves, the parking fee is automatically calculated based on the entry and exit times. S5. Data Recording and Analysis: Upload vehicle entry and exit records, parking space usage, and payment information to the cloud platform for subsequent data analysis, user behavior modeling, and management optimization.

[0019] Furthermore, in S1, vehicle image information is collected by capturing images of the front of the vehicle through a high-definition camera, extracting the license plate area using image processing technology, and identifying the license plate number using a character recognition algorithm. The identified license plate information is compared with the vehicle database in the central management system to determine whether the vehicle belongs to a registered user. If it does, a recommended parking space or route information is pre-allocated based on the user's historical parking preferences or reservation information.

[0020] Furthermore, S2 is equipped with an independent geomagnetic sensor or ultrasonic sensor in each parking space to sense the occupancy status of the parking space in real time and periodically upload the detection results to the central management system via wireless communication. When a change in parking space status is detected, the system immediately refreshes the status and performs local preprocessing of multiple parking space statuses through the edge computing module.

[0021] Furthermore, the path recommendation steps in S3 include: When calculating the optimal route, the central management system comprehensively considers factors such as the parking space reservation status, vehicle size, traffic flow in the parking lot, real-time congestion of passageways, parking space types including regular parking spaces, accessible parking spaces, electric vehicle charging parking spaces, and user preference settings. By constructing a weighted graph model, parking spaces and path nodes are modeled, and the shortest path algorithm is used for path optimization. The generated recommended route will be displayed on the navigation screen at the parking lot entrance, and real-time navigation information will be provided through mobile applications using graphical animations or voice prompts.

[0022] Furthermore, S3 also includes a parking space reservation step, in which users submit a reservation request through a mobile terminal application, in-vehicle system or third-party platform. The reservation request includes the target time period, vehicle information and parking space preference. The central management system matches a suitable parking space based on the current available parking space information and sets the parking space status to locked. At the same time, it pushes the reservation confirmation information and navigation route to the user's terminal. If the user does not arrive within the specified time, the system will automatically release the parking space after the buffer period. After a user drives into a reserved parking space, the system automatically records the parking space as occupied and updates it to vacant after the user leaves.

[0023] Furthermore, the central management system in S4 automatically records the vehicle's entry and exit times and calculates the amount due based on preset billing rules; It supports multiple payment methods, including QR code payment, automatic license plate recognition contactless payment, mobile wallet payment, and parking coupon deduction; After payment is completed, the system sends an electronic invoice or payment voucher to the user and updates the vehicle's historical payment records.

[0024] Furthermore, the central management system in S5 uploads data such as vehicle entry and exit records, parking space usage frequency, and user payment behavior to the cloud data platform, and performs statistical analysis and model training based on data mining algorithms. The analysis results are used to generate parking space heatmaps, user behavior profiles, abnormal behavior detection, and parking space scheduling prediction models. This automatically adjusts guidance strategies, optimizes parking space allocation plans, and supports managers in making operational decisions on a visual platform.

[0025] Furthermore, an intelligent management system for parking lots includes: Vehicle recognition module: This module is located at the entrance of the parking lot and includes a high-definition camera and an image processing unit. It is used to collect image information of entering vehicles and identify license plate numbers through character recognition algorithms. Parking space detection module: Used to monitor the occupancy status of each parking space in the parking lot in real time. This module includes multiple geomagnetic sensors, ultrasonic detectors or video acquisition units, which can collect the real-time status of each parking space and send it to the central management system. Route recommendation module: Connects to the data dispatch center of the central management system, and is used to recommend routes based on vehicle entrance location, distribution of available parking spaces, parking space type, and user preferences or reservation information; Billing and payment module: includes time recording unit, billing rule engine and payment interface, used to record vehicle entry and exit time and automatically calculate parking fees payable; Reservation Management Module: This module allows users to reserve parking spaces in advance via mobile devices, lock the spaces based on the reserved time period and availability, and push navigation route information to users before arrival. Data recording and analysis module: This includes a data acquisition interface, a cloud storage platform, and a data mining unit, used to collect and organize vehicle entry and exit records, parking space usage information, and user payment behavior information.

[0026] Furthermore, the vehicle recognition module connects to the vehicle database to determine whether a vehicle belongs to a registered user and transmits the recognition result to the central management system. The parking space detection module supports automatic refresh of status changes and can be combined with edge computing devices for local data preprocessing.

[0027] Furthermore, the vehicle recognition module monitors the parking behavior of vehicles in parking spaces in real time through video surveillance devices or sensor devices; The central management system performs behavioral analysis on the collected parking images or sensor data to identify whether there are any abnormal behaviors, including but not limited to parking across lines, long-term occupation, illegal occupation of dedicated parking spaces, abnormally frequent vehicle entry and exit, or entering a locked parking space without a reservation. Once abnormal behavior is detected, the system automatically issues a warning and notifies users via user terminals, management terminals, or on-site broadcasting systems. If necessary, it can trigger restrictions on operations or record credit deductions to achieve intelligent control over illegal parking and guide users to regulate their behavior.

[0028] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent management of a parking lot, characterized in that: The method comprises the following steps: S1, vehicle identification: when the vehicle enters the parking lot entrance, collect vehicle image information, and identify vehicle identity information by using a license plate recognition system; S2, space detection: real-time acquisition of the occupancy state of each parking space in the parking lot, and uploading of idle parking space information to the central management system; S3, path recommendation: the central management system calculates the optimal parking path according to the vehicle entrance position, real-time parking space information and parking lot traffic direction, and pushes the guide information to the navigation display screen at the entrance or the user's mobile terminal; S4, charging and payment: before the vehicle leaves, the parking fee is automatically calculated according to the entry time and exit time; S5, data recording and analysis: vehicle entry and exit records, parking space usage and payment information are uploaded to the cloud platform for subsequent data analysis, user behavior modeling and management optimization.

2. The intelligent management method for a parking lot according to claim 1, wherein, In the S1, the vehicle image information is collected by a high-definition camera to collect the front image of the vehicle, an image processing technology is used to extract the license plate area, and a character recognition algorithm is used to identify the license plate number. The identified license plate information is compared with the vehicle database in the central management system to determine whether the vehicle is a registered user vehicle. If it is a registered user vehicle, the recommended parking space or path information is allocated in advance based on its historical parking preference or reservation information.

3. The intelligent management method for a parking lot according to claim 1, wherein, In the S2, an independent geomagnetic sensor or ultrasonic sensor is arranged at each parking space to realize real-time sensing of the occupancy state of the parking space, and the detection results are periodically uploaded to the central management system through wireless communication; When the state of the parking space changes, the system immediately refreshes the state, and the edge computing module is used to locally preprocess the states of multiple parking spaces.

4. The intelligent management method for a parking lot according to claim 1, wherein In the S3, the path recommendation step comprises: The central management system considers the reservation state of the parking space, the size of the vehicle, the traffic flow in the parking lot, the real-time congestion condition of the passage, the type of the parking space including the ordinary parking space, the barrier-free parking space, the electric vehicle charging parking space and the preference setting of the user when calculating the optimal path; A weighted graph model is constructed to model the parking space and the path node, and a shortest path algorithm is used for path optimization; Finally, the generated recommended path is displayed on the navigation display screen at the parking lot entrance, and real-time navigation information is provided in the form of graphic animation or voice prompt through the mobile terminal application.

5. The intelligent management method for a parking lot according to claim 4, wherein The S3 also comprises a parking space reservation step, which comprises that a user submits a reservation request through a mobile terminal application, a vehicle-mounted system or a third-party platform, and the reservation request comprises a target time period, vehicle information and parking space preference; The central management system matches the appropriate parking space according to the current idle parking space information, sets the parking space state to the locked state, and pushes the reservation confirmation information and navigation path to the user terminal; If the user does not arrive within the specified time, the system automatically releases the parking space after the buffer time; After the user drives into the reserved parking space, the system automatically records the parking space as used, and updates the parking space to idle after the user leaves.

6. The intelligent management method for a parking lot according to claim 1, wherein, In the S4, the central management system automatically records the entry time and exit time of the vehicle, and calculates the amount to be paid according to the preset charging rules. After payment is completed, the system sends an electronic invoice or payment receipt to the user and updates the vehicle's historical payment records.

7. The intelligent management method for a parking lot according to claim 1, wherein The central management system in S5 uploads data such as vehicle entry and exit records, parking space usage frequency, and user payment behavior to the cloud data platform and performs statistical analysis and model training based on data mining algorithms. The analysis results are used to generate parking heat maps, user behavior profiles, abnormal behavior detection, and parking scheduling prediction models. Based on this, the guidance strategy is automatically adjusted, the parking allocation scheme is optimized, and the manager can make operational decisions on the visualization platform.

8. A system for intelligent management of a parking lot, according to the method of any one of claims 1-7, characterized in that, It includes: Vehicle identification module: This module is installed at the entrance of the parking lot and includes a high-definition camera and an image processing unit. It is used to collect image information of entering vehicles and identify license plate numbers through character recognition algorithms. Parking space detection module: This module is used to monitor the occupancy status of each parking space in real time. It includes multiple geomagnetic sensors, ultrasonic detectors, or video acquisition units that can collect real-time status of each parking space and send it to the central management system. Path recommendation module: This module is connected to the data scheduling center of the central management system and is used to recommend paths based on vehicle entry location, free parking space distribution, parking space type, and user preferences or reservation information. Charging and payment module: This module includes a time recording unit, a charging rule engine, and a payment interface. It is used to record vehicle entry and exit times and automatically calculate the parking fees to be paid. Reservation management module: This module is used to support users to reserve parking spaces in advance through mobile terminals. It locks the parking space based on the reservation time period and the availability of the parking space and pushes navigation path information to the user before arrival. Data recording and analysis module: This module includes a data collection interface, a cloud storage platform, and a data mining unit. It is used to collect and organize vehicle entry and exit records, parking space usage, and user payment behavior information.

9. The intelligent management system for a parking lot of claim 1, wherein, The vehicle identification module is connected to the vehicle database to determine whether the vehicle is a registered user and transmits the identification results to the central management system. The parking space detection module supports automatic state change refresh and can perform local data preprocessing in combination with edge computing devices.

10. The intelligent management system for a parking lot of claim 1, wherein, The vehicle identification module monitors the parking behavior of vehicles in parking spaces in real time through video monitoring devices or sensor devices. Behavior analysis is performed on the collected parking images or sensor data to identify whether there are any abnormal behaviors. Once abnormal behavior is identified, the system automatically sends a warning message and notifies the user through the user terminal, the management terminal, or the on-site broadcast system. If necessary, it can trigger a restriction operation or record credit points to achieve intelligent control of illegal parking behavior and guide user behavior.

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