Intelligent management system for parking lot

Abstract

The invention relates to the technical field of parking lot management, in particular to a parking lot intelligent management system, which comprises a data acquisition module, a data processing module, a database module, a user interaction module and a management module, the data processing module processes and analyzes the collected data by using a deep learning algorithm, transmits the processed and analyzed data, vehicle basic information and various log data generated in a system operation process to the database module for storage, and provides an interaction interface for a user through the user interaction module. The management module is used for parking lot management personnel to manage parking lot operation; the problems that an existing parking lot management system is low in efficiency, poor in accuracy, high in management cost, incapable of achieving intelligent management and the like are solved.

Description

Technical Field

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

[0002] With the continuous increase in car ownership, parking lot management faces increasing challenges. Traditional parking management systems rely primarily on manual operations, which can lead to inefficiency, poor accuracy, and high management costs. For example, during peak hours, manual toll collection and vehicle guidance can easily cause congestion at entrances and exits; manual recording of vehicle information is prone to errors, leading to chaotic vehicle management. Furthermore, traditional systems struggle to accurately capture parking space usage in real time, making it impossible to provide users with effective parking space query and guidance services. This results in low parking space utilization and a poor user experience.

[0003] While some automated parking management systems have emerged in recent years, they still have limitations in terms of functionality and performance. For example, some license plate recognition systems have low accuracy when the license plate is damaged, obscured, or in poor lighting. Some systems also lack the ability to intelligently analyze vehicle behavior, preventing them from detecting anomalies and taking appropriate action. Therefore, leveraging advanced technologies to develop an efficient, intelligent, and accurate parking management system has become a pressing challenge in this field. Summary of the Invention

[0004] The present invention provides an intelligent parking lot management system to solve the problems of existing parking lot management systems such as low efficiency, poor accuracy, high management costs and inability to achieve intelligent management.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A parking lot intelligent management system includes a data acquisition module, a data processing module, a database module, a user interaction module and a management module. The data acquisition module collects vehicle information and vehicle status and transmits them to the data processing module. The data processing module uses a deep learning algorithm to process and analyze the collected data, and transmits the processed and analyzed data, basic vehicle information and various log data generated during system operation to the database module for storage. The user interaction module provides an interactive interface for users. The management module is used by parking lot managers to manage parking lot operations.

[0007] Furthermore, the data acquisition module includes high-definition vehicle recognition cameras distributed at the entrances and exits of the parking lot, parking space detection cameras above the parking spaces, and inductive coil vehicle detectors on the parking lot passages. The high-definition vehicle recognition cameras are used to capture image information of the vehicle's license plate, model, and body color. The parking space detection cameras above the parking spaces are used to collect parking space images, detect whether there are vehicles parked in the parking spaces, and detect the license plates of parked vehicles. The inductive coil vehicle detectors on the parking lot passages are used to detect the vehicle's driving trajectory.

[0008] Furthermore, the parking space detection camera is provided with a display light and is installed on the concrete top plate of the parking lot area using a telescopic boom.

[0009] Furthermore, the data processing module accurately identifies the vehicle's license plate number through a license plate recognition algorithm, determines the type of vehicle through a vehicle model recognition algorithm, obtains the occupancy status of the parking space in real time through a parking space detection algorithm, and at the same time, analyzes the vehicle's driving trajectory, stay time and other behavioral data to detect abnormal situations.

[0010] Furthermore, the basic vehicle information stored in the database module includes the owner's name, contact information, license plate number, vehicle type and parking record, and the parking space information includes the parking space number, location and status.

[0011] Furthermore, the database module uses a combination of relational data and non-management system databases to store data.

[0012] Furthermore, the management module is used by parking lot managers to manage parking lot operations, including vehicle management, parking space management, fee management, and report generation. Managers can monitor the operation of the parking lot in real time through the management interface and handle abnormal situations, including illegal parking of vehicles and abnormal parking space occupancy. At the same time, the management module performs data analysis based on historical data;

[0013] The vehicle management includes vehicle entry and exit management, vehicle parking guidance and vehicle safety monitoring;

[0014] The parking space management includes parking space planning and division, parking space status monitoring and parking space reservation management;

[0015] The fee management includes the designation of fee standards, fee settlement, fee statistics and reporting;

[0016] The report generation is that managers generate various reports through the management system interface, including operation reports, financial reports and management reports.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1) Improve management efficiency: Through automated data collection and processing, manual operations are reduced, greatly improving parking lot management efficiency. For example, automatic identification and billing of vehicle entrances and exits can quickly complete the vehicle entry and exit process without manual intervention, reducing congestion.

[0019] 2) Improved accuracy: The application of deep learning algorithms makes functions such as license plate recognition, vehicle model recognition, and parking space detection more accurate and reliable. Even in complex environments, it can ensure high recognition accuracy and reduce misjudgments and incorrect operations.

[0020] 3) Optimize user experience: Users can use the mobile app to query parking information and reserve spaces in advance, and receive real-time parking guidance within the parking lot, making it easy and quick to find a space. Automatic billing and payment functions also provide users with a more convenient parking experience.

[0021] 4) Intelligent management: By analyzing vehicle behavior data, the system can automatically detect abnormal situations and handle them promptly, enabling intelligent management of parking lots. For example, it can automatically issue warnings for illegally parked vehicles, improving parking lot safety and order.

[0022] 5) Improve parking space utilization: Real-time and accurate parking space information enables parking lot managers to reasonably allocate parking spaces, guide vehicles to quickly find vacant parking spaces, improve parking space utilization, and reduce resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural diagram of the parking lot intelligent management system described in the present invention.

[0024] In the figure: 1. High-definition vehicle recognition camera at the entrance and exit; 2. Entrance and exit gate equipment; 3. Inductive coil vehicle detector; 4. Guard booth; 5. Guard booth switch; 6. Parking space detection camera with display light; 7. Network connection cable 8. Induction manager; 9. Passage guidance information board; 10. Power cord; 11. Optical fiber; 12. Switch in the security control room; 13. Self-service terminal; 14. Central switch of the parking management system in the dedicated communication equipment room; 15. Parking guidance workstation; 16. Management center workstation; 17. Management center server; 18. Remaining parking spaces display LED. DETAILED DESCRIPTION

[0025] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0026] See Figure 1, is a structural diagram of the parking lot intelligent management system according to the present invention. The parking lot intelligent management system according to the present invention includes a data acquisition module that collects vehicle information and vehicle status and transmits them to a data processing module. The data processing module uses a deep learning algorithm to process and analyze the collected data, and transmits the processed and analyzed data, basic vehicle information, and various log data generated during system operation to a database module for storage. The user interaction module provides an interactive interface for users. The management module is used by parking lot managers to manage parking lot operations.

[0027] (1) Data acquisition module: It consists of high-definition vehicle recognition cameras distributed at the entrances and exits of the parking lot, parking space detection cameras 6 with display lights above the parking spaces, and inductive coil vehicle detectors 3 on the passages. The high-definition license plate recognition cameras at the entrances and exits are installed on the safety island in the middle of the vehicle entrances and exits using a support tripod to ensure that the license plates of the vehicles can be clearly photographed. They are responsible for collecting image information of the vehicles, including license plates, models, body colors, etc.; the inductive coil vehicle detector 3 is used to detect the presence and departure of vehicles; the parking space detection camera with display lights is used to measure the occupancy of parking spaces; these sensors collect data in real time and transmit the data to the data processing module;

[0028] The high-definition vehicle recognition camera 1 at the entrance and exit can clearly capture the image information of the vehicle, such as the license plate, model, and body color;

[0029] The parking space detection camera 6 with a display light is installed under the concrete roof of the parking area using a retractable boom to collect parking space images, detect whether there are vehicles parked in the parking space, and detect the license plates of parked vehicles;

[0030] The inductive coil vehicle detector 3 is installed on the ground at the vehicle entrance and exit to detect the vehicle's driving trajectory.

[0031] (2) Data processing module: Use deep learning algorithms to process and analyze the collected data, accurately identify the vehicle's license plate number through the license plate recognition algorithm, determine the vehicle type through the vehicle model recognition algorithm, and obtain the occupancy status of the parking space in real time through the parking space detection algorithm. At the same time, analyze the vehicle's driving trajectory, residence time and other behavioral data to detect abnormal situations;

[0032] The deep learning algorithm includes a license plate recognition algorithm, a vehicle type recognition algorithm, a parking space detection algorithm, a parking space detection algorithm, and an abnormal behavior detection algorithm;

[0033] The license plate recognition algorithm uses a deep learning algorithm based on a convolutional neural network (CNN) to extract and recognize features from license plate images captured by vehicle recognition cameras. Through training with a large number of license plate image samples, the model can accurately recognize license plates of various types and states, thereby improving the accuracy and speed of license plate recognition.

[0034] The vehicle type recognition algorithm uses a deep learning classification algorithm to analyze and identify the appearance features of a vehicle and determine its type, such as sedan, SUV, truck, etc. This helps parking lots to classify and manage different types of vehicles and improve parking efficiency.

[0035] The parking space detection algorithm is a deep learning-based target detection algorithm that analyzes images captured by parking cameras to detect parking space occupancy in real time. The algorithm can accurately distinguish whether there is a vehicle in a parking space and whether the vehicle is parked in a standardized position, providing accurate data support for parking space management.

[0036] The abnormal behavior detection algorithm builds a vehicle behavior model through deep learning analysis of vehicle driving trajectory, dwell time, and other behavioral data. When a vehicle's behavior is detected to be inconsistent with the normal model, such as prolonged dwelling in a lane or speeding, the system automatically issues an alarm and notifies management personnel to take action.

[0037] Abnormal behavior detection algorithm: By linking with the fire alarm system, a parking lot fire situation model is established. When the fire alarm system sounds a fire alarm, the gate automatically opens and the traffic guidance information sign 9 guides vehicles to quickly exit the parking lot.

[0038] (3) Database module: stores basic vehicle information, such as the owner's name, contact information, license plate number, vehicle type, parking records, etc.; parking space information, including parking space number, location, status, etc.; and various log data generated during the operation of the system. The database adopts a combination of relational database and non-relational database to meet the storage and query requirements of different types of data.

[0039] (4) User interaction module: provides users with a convenient interactive interface. Users can query parking space information, reserve parking spaces, pay parking fees, etc. through the mobile phone APP or the self-service terminal 13 in the parking lot. At the same time, the system will push real-time parking guidance information to users, such as the location of available parking spaces, driving routes, etc., to help users find parking spaces quickly.

[0040] (5) Management module: provides management functions for parking lot managers, including vehicle management, parking space management, fee management, report generation, etc. Managers can monitor the operation of the parking lot in real time through the management interface and handle abnormal situations, such as illegal parking and abnormal parking space occupancy. At the same time, the management module can also perform data analysis based on historical data to support operational decisions of the parking lot;

[0041] The vehicle management includes vehicle entry and exit management, vehicle parking guidance and vehicle safety monitoring;

[0042] The vehicle access management is responsible for controlling and recording the access rights of vehicles in and out of the parking lot. Through the vehicle identification system, the vehicle entry time, license plate number, vehicle type and other information are accurately recorded, and at the same time, it is determined whether the vehicle has the right to enter the parking lot;

[0043] The vehicle parking guidance system helps drivers find vacant parking spaces quickly.

[0044] The vehicle safety monitoring, parking space monitoring camera real-time monitoring of vehicles in the parking space, to prevent the vehicle from being stolen, damaged, etc., to supervise the traffic order in the parking lot, to promptly detect and deal with problems such as illegal parking and vehicle collisions, and to ensure the safety of vehicles and personnel;

[0045] The parking space management includes parking space planning and division, parking space status monitoring and parking space reservation management;

[0046] The parking space planning and division shall be based on the area and shape of the parking lot, and the number and layout of parking spaces shall be reasonably divided. The parking needs of different types of vehicles shall be considered, and standard parking spaces, disabled parking spaces, large parking spaces, tram parking spaces, etc. shall be divided, and corresponding signs and markings shall be set up to ensure the rational use of parking spaces and the standardized parking of vehicles;

[0047] The parking space status monitoring system uses a parking space detection camera installed above the parking space to obtain real-time parking space occupancy status information and transmit the parking space status data to the management system so as to accurately understand the usage of each parking space and provide data support for vehicle parking guidance and parking space management;

[0048] Parking space reservation management: To meet the special needs of some users, we provide a parking space reservation service. Users can reserve a parking space in advance through mobile applications, websites, or by phone. The system will reserve a designated parking space for the user based on the reservation information and provide corresponding prompts and guidance when the user arrives, thereby improving parking space utilization efficiency and user satisfaction.

[0049] The fee management includes the designation of fee standards, fee settlement, fee statistics and reporting;

[0050] The charging standards specify that reasonable charging standards shall be formulated based on factors such as the geographical location and type of parking lot (e.g., commercial parking lot, residential parking lot, public parking lot, etc.), parking time, etc. The charging standards may adopt different methods such as time-based charging, per-use charging, and monthly charging. At the same time, the charging standards may also take into account the difference in charging during different time periods, such as different charging during peak and non-peak hours;

[0051] Regarding fee settlement, when a vehicle leaves the parking lot, the system will automatically calculate the parking fee based on the vehicle's entry time and charging standards, and complete the fee settlement through various payment methods such as cash, bank card, and online payment. For monthly card users or long-term tenants, the fee will be deducted or collected according to the agreed charging cycle;

[0052] Fee statistics and reports: collect and analyze parking lot charges and generate various fee reports, such as daily fee details, monthly fee summary reports, and fee statistics for different time periods, so that managers can understand parking lot revenue, grasp fee trends, and provide data basis for business decisions;

[0053] Report generation: managers generate various reports through the management system interface, such as operational reports, financial reports, management reports, etc.

[0054] The operational reports include parking lot vehicle flow statistics, such as daily, weekly, and monthly vehicle entry and exit data, average dwell time, and other information; parking space utilization reports, which display parking space usage in different time periods, help managers understand the operational efficiency of the parking lot and rationally adjust parking space planning and management strategies;

[0055] In addition to the aforementioned fee statistics, the financial statements also include cost statements, such as statistical statements on parking lot equipment maintenance costs, employee salary costs, water and electricity costs, and other expenses; profit statements, which reflect the parking lot's revenue, costs, and profits, and provide an important basis for financial analysis and decision-making;

[0056] The management reports, such as the parking violation report, record the information of illegally parked vehicles, the time and location of the violation, etc., so as to handle and manage the violations; the equipment failure report counts the failure conditions of various equipment in the parking lot (such as vehicle identification cameras, gates, monitoring equipment, etc.), provides a reference for equipment maintenance and repair, and ensures the normal operation of the parking lot.

[0057] The implementation of the data processing module is as follows:

[0058] The parking guidance workstation 15 is installed on the data processing server. The parking guidance workstation 15 includes deep learning models such as license plate recognition model, parking detection model, parking guidance model and abnormal behavior detection. When the data acquisition module transmits the data, the data processing module first pre-processes the image data, and then inputs the pre-processed data into the corresponding deep learning model for analysis and processing. For example, the data acquisition module (the high-definition license plate recognition camera 1 at the entrance and exit and the parking detection camera 6 with display light) collects the license plate image and processes it through the license plate recognition model to output the license plate number; the parking detection camera 6 with display light collects the vehicle image and processes it through the parking detection model to output the parking space occupancy status and the license plate of the occupied parking space; the data acquisition model outputs the data and processes it through the parking guidance model to output the vehicle entry and exit navigation map, which is transmitted to the user's mobile phone APP and the traffic guidance information sign 9 to guide the vehicle to pass accurately and quickly. The processed data is stored in the database module and provided to other modules as needed.

[0059] The database module is implemented as follows:

[0060] The management center server 17 uses MySQL as a relational database to store structured data such as basic vehicle information, parking space information, and payment records. It uses MongoDB as a non-relational database to store unstructured data such as vehicle images and log data. Through reasonable database design and index optimization, data storage and query efficiency are ensured. Regular database backup and maintenance are also performed to ensure data security and integrity.

[0061] The implementation of the user interaction module is as follows:

[0062] This involves developing a mobile app and self-service terminals 13 within parking lots. The mobile app provides functions such as parking space query, reservation, navigation, and payment. Before entering the parking lot, users can use the app to query available parking spaces and make reservations. Once inside, the app provides real-time parking guidance based on the user's location and reservation information. After parking, users can pay through the app. Self-service terminals 13 are located at parking lot entrances and exits and in prominent locations. Users can use them to query parking space information, print parking vouchers, and pay parking fees.

[0063] The management module is implemented as follows:

[0064] The parking lot management module is installed on the management center workstation 16, providing parking lot managers with a dedicated management interface. Managers can log in to the system through this interface and monitor parking lot operations in real time, including vehicle entry and exit records, parking space usage, and parking fee collection. When the system detects an anomaly, the interface issues an alarm, allowing managers to address it promptly. Furthermore, managers can use this interface to manage vehicles, parking spaces, and fees, and generate various reports, such as daily fee reports and monthly parking reports, to analyze and make decisions about parking lot operations.

[0065] How it works

[0066] 1) Vehicle entry: When a vehicle approaches the parking lot entrance, the inductive coil vehicle detector 3 senses the vehicle, triggering the high-definition vehicle recognition camera 1 at the entrance and exit to capture the vehicle and identify the vehicle information; the identified information is transmitted through the network connection line 7, the booth switch 5, the security control room switch 12 and the parking lot management system center switch 14 in the dedicated communication equipment room to the management center server 17 for data comparison and storage; if the vehicle information is legal, the management center server 17 sends a command to control the entrance and exit gate equipment 2 to automatically rise, and the vehicle enters.

[0067] 2) Parking guidance: The parking space detection camera 6 with a display light monitors the parking space status, and its display light can intuitively show whether the parking space is occupied; the parking space detection camera 6 with a display light transmits the parking space status information to the guidance manager 8 in real time. The guidance manager 8 processes and analyzes the data and provides the driver with guidance on the location of available parking spaces through the traffic guidance information board 9 and the remaining parking space display LED 18. The driver can quickly find a parking space according to the instructions.

[0068] 3) Vehicle exit: When the vehicle arrives at the exit, the inductive coil vehicle detector 3 senses the vehicle, and the high-definition license plate recognition camera 1 at the entrance and exit recognizes the license plate again. The management center server 17 automatically calculates the parking fee based on information such as entry time. The car owner can choose the self-service terminal 13 to pay and print the receipt. After the payment is successful, the management center server 17 sends an instruction, the entrance and exit gate equipment 2 rises, and the vehicle leaves the parking lot.

[0069] 4) System management and maintenance: The staff in booth 4 can monitor the on-site situation and handle emergencies through relevant equipment. The parking guidance workstation 15 and the management center workstation 16 manage and set up the entire parking system, such as adjusting parking space information and viewing statistical data. The power cord 10 connects to the power system distribution cabinet to power each device. The optical fiber 11 ensures high-speed and stable data transmission within the switch system at all levels to ensure the normal operation of the system.

[0070] The above embodiments are implemented under the premise of the technical solution of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the above embodiments. The methods used in the above embodiments are conventional methods unless otherwise specified.

Claims

1. A parking lot intelligent management system, characterized in that: It includes a data acquisition module, a data processing module, a database module, a user interaction module and a management module. The data acquisition module collects vehicle information and vehicle status and transmits them to the data processing module. The data processing module uses a deep learning algorithm to process and analyze the collected data, and transmits the processed and analyzed data, basic vehicle information and various log data generated during the system operation to the database module for storage. The user interaction module provides users with an interactive interface. The management module is used by parking lot managers to manage parking lot operations.

2. A parking lot intelligent management system according to claim 1, characterized in that: The data acquisition module includes high-definition vehicle recognition cameras distributed at the entrances and exits of the parking lot, parking space detection cameras above the parking spaces, and inductive coil vehicle detectors on the parking lot passages. The high-definition vehicle recognition cameras are used to capture image information of the vehicle's license plate, model, and body color. The parking space detection cameras above the parking spaces are used to collect parking space images, detect whether there are vehicles parked in the parking spaces, and detect the license plates of parked vehicles. The inductive coil vehicle detectors on the parking lot passages are used to detect the vehicle's driving trajectory.

3. A parking lot intelligent management system according to claim 2, characterized in that: The parking space detection camera is provided with a display light and is installed on the concrete top plate of the parking lot area using a telescopic boom.

4. A parking lot intelligent management system according to claim 1, characterized in that: The data processing module accurately identifies the vehicle's license plate number through the license plate recognition algorithm, determines the vehicle type through the vehicle model recognition algorithm, obtains the occupancy status of the parking space in real time through the parking space detection algorithm, and at the same time analyzes the vehicle's driving trajectory, stay time and other behavioral data to detect abnormal situations.

5. The parking lot intelligent management system according to claim 1, characterized in that: The basic vehicle information stored in the database module includes the owner's name, contact information, license plate number, vehicle type and parking record, and the parking space information includes the parking space number, location and status.

6. A parking lot intelligent management system according to claim 1, characterized in that: The database module uses a combination of relational data and non-management system database to store data.

7. The parking lot intelligent management system according to claim 1, characterized in that: The management module is used by parking lot managers to manage parking lot operations, including vehicle management, parking space management, fee management, and report generation. Managers can monitor the operation of the parking lot in real time through the management interface and handle abnormal situations, including illegal parking and abnormal parking space occupancy. At the same time, the management module performs data analysis based on historical data; The vehicle management includes vehicle entry and exit management, vehicle parking guidance and vehicle safety monitoring; The parking space management includes parking space planning and division, parking space status monitoring and parking space reservation management; The fee management includes the designation of fee standards, fee settlement, fee statistics and reporting; The report generation is that managers generate various reports through the management system interface, including operation reports, financial reports and management reports.

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