Shared parking method based on real-time monitoring of Internet of Things and sharing system thereof

Abstract

The invention relates to the technical field of shared parking spaces, and discloses a sharing system based on real-time monitoring of the Internet of Things, and the sharing system comprises a parking space sensing subsystem, a data transmission subsystem, a data processing and analysis subsystem, a user service subsystem, an intelligent scheduling subsystem, and a management and maintenance subsystem. The parking space sensing subsystem is used for monitoring the parking space occupation condition and the vehicle information in real time, the data processing and analyzing subsystem is used for processing and analyzing the monitored new information in real time, a vehicle owner selects a parking space through the user service subsystem, the intelligent scheduling subsystem is used for meeting the parking requirement of a user, and the parking space utilization rate is improved. The Internet of Things, big data and other technologies are fused and applied, real-time sensing, efficient scheduling and convenient service of parking resources are achieved, the system not only improves the operation efficiency of the parking lot, but also improves the parking experience of vehicle owners, effectively solves the problem of difficult parking in cities, and promotes sustainable development of cities.

Description

Technical Field

[0001] This invention relates to the field of shared parking technology, specifically to a shared parking method and system based on real-time monitoring via the Internet of Things. Background Technology

[0002] With social development and the increasing popularity of cars, the number of private and shared vehicles has gradually increased, leading to a situation where the supply of parking spaces in cities cannot keep up with the growth in the number of cars. This results in a shortage of parking spaces, and car owners often spend a long time looking for a parking space, making random parking a common sight, causing traffic congestion, and in severe cases, traffic accidents.

[0003] Currently, parking spaces can only be found by car owners themselves, and most parking space information lacks real-time monitoring, resulting in a large number of parking spaces being idle while car owners have difficulty finding parking spaces. This leads to the problem of parking difficulties, long waiting times for parking spaces, and cumbersome parking search, which is not conducive to the regulation of parking spaces. To address this, a shared parking method and its sharing system based on real-time monitoring using the Internet of Things is proposed. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a shared parking method and system based on real-time monitoring via the Internet of Things (IoT). This method enables real-time monitoring of parking spaces, facilitating their control and making it easier for car owners to find parking spots.

[0005] Firstly, to achieve the above objectives, the present invention provides the following technical solution: a sharing system based on real-time monitoring of the Internet of Things, the sharing system comprising the following components:

[0006] Parking space perception subsystem: Real-time perception of parking space occupancy and vehicle information through sensors and cameras installed on the ground;

[0007] Data transmission subsystem: responsible for transmitting the data collected by the parking space sensing subsystem;

[0008] Data processing and analysis subsystem: Receives data from the data transmission subsystem and performs real-time processing and analysis;

[0009] User service subsystem: A mobile application that provides users with real-time parking space information, parking space reservation, navigation, and payment functions;

[0010] Intelligent scheduling subsystem: Based on the analysis results of the data processing and analysis subsystem, combined with real-time parking space occupancy and user demand, it automatically schedules and allocates parking spaces;

[0011] Data Deep Mining and Decision Support System: Utilizes big data analytics to deeply mine and analyze collected parking lot data;

[0012] Management and Maintenance Subsystem: Responsible for the operation, maintenance and management of the entire system, providing equipment monitoring, fault alarms and system upgrade functions.

[0013] Preferably, the data transmission subsystem employs an efficient and stable data transmission protocol to transmit the data collected by the parking space sensing subsystem to the data processing and analysis subsystem.

[0014] Preferably, the data processing and analysis subsystem outputs the analysis results to the intelligent scheduling subsystem or management personnel in the form of visual charts and reports.

[0015] Preferably, the data processing and analysis subsystem uses big data technology and machine learning algorithms to predict and analyze the usage of parking spaces. The data processing and analysis subsystem outputs reports and statistical data, and the management and maintenance subsystem maintains and manages the system based on the reports and statistical data output by the data processing and analysis subsystem.

[0016] Preferably, the parking space sensing subsystem uses license plate recognition technology and RFID technology to automatically identify and authenticate vehicles entering and exiting the parking lot.

[0017] Preferably, the intelligent scheduling subsystem further includes an electronic guidance device, which controls the electronic guidance device to guide vehicles based on the analysis results of the data processing and analysis subsystem and the real-time parking space occupancy status.

[0018] Preferably, the applications generated by the user service subsystem include in-vehicle apps, mobile apps, and WeChat mini-programs.

[0019] Preferably, the parking space sensing subsystem also includes a payment module, which includes multiple payment methods to realize the automatic calculation and deduction of parking fees. The payment module provides payment data to the user service subsystem.

[0020] The second aspect: a shared parking method based on real-time monitoring via the Internet of Things, including the shared system described in the first aspect, with the specific method as follows:

[0021] S1: Car owners can query real-time parking space information through the user interface of the user service subsystem.

[0022] S2: The user service subsystem provides services such as parking reservation, online payment, and navigation based on the needs of car owners.

[0023] S3: The parking space perception subsystem monitors the occupancy status of parking spaces in real time and sends the data to the data processing and analysis subsystem.

[0024] S4: The data processing and analysis subsystem stores, manages, and analyzes data, predicts future parking space usage, and sends the analysis results to the intelligent scheduling subsystem.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. This invention uses a parking space sensing subsystem to monitor parking space occupancy and vehicle information in real time, and a data processing and analysis subsystem to process and analyze new monitoring information in real time. Car owners select parking spaces through a user service subsystem, and the intelligent scheduling subsystem meets their parking needs. By integrating technologies such as the Internet of Things and big data, this invention achieves real-time sensing, efficient scheduling, and convenient services for parking resources. This system not only improves the operational efficiency of parking lots but also enhances the parking experience for car owners, effectively solves the problem of urban parking difficulties, and promotes the sustainable development of cities.

[0027] 2. This invention establishes a data deep mining and decision support system, utilizing big data deep analysis technology to deeply mine collected parking lot data, providing decision support for parking lot operation and management. By analyzing data such as vehicle parking time and parking frequency, the layout and resource allocation of parking lots can be optimized; by analyzing users' parking behavior and preferences, more personalized services can be provided.

[0028] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0029] Figure 1 This is a shared system diagram of the present invention;

[0030] Figure 2 This is a flowchart of the shared parking method of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Example 1:

[0033] Please refer to the figure. To achieve the above objectives, the present invention provides the following technical solution: a sharing system based on real-time monitoring of the Internet of Things, the sharing system comprising the following components:

[0034] Parking Space Perception Subsystem: This subsystem uses sensors and cameras installed on the ground to perceive the occupancy status of parking spaces and vehicle information in real time. It forms the perception layer of the entire system and is primarily composed of sensors and cameras installed within the parking lot. These sensors detect the occupancy status of parking spaces, vehicle type, and parking duration, while the cameras monitor the real-time status of parking spaces to ensure data accuracy. Furthermore, some advanced systems may be equipped with geomagnetic sensors and ultrasonic sensors to improve detection accuracy and efficiency. To enhance system accuracy and reliability, the sensor network can employ a redundant design with multiple sensors to ensure the system continues to function even if a single sensor fails. Additionally, optimizing the layout and number of sensors can further improve the system's coverage and detection accuracy.

[0035] Data transmission subsystem: responsible for transmitting the data collected by the parking space sensing subsystem;

[0036] Data Processing and Analysis Subsystem: Receives data from the data transmission subsystem and performs real-time processing and analysis. The data processing and analysis subsystem is the core part of the system, responsible for processing and analyzing the received data. This subsystem uses big data technology and machine learning algorithms to analyze parking space usage data, predict future parking space usage, and provide decision support for the intelligent scheduling subsystem.

[0037] User service subsystem: A mobile application that provides users with real-time parking space information, parking space reservation, navigation, and payment functions;

[0038] Intelligent scheduling subsystem: Based on the analysis results of the data processing and analysis subsystem, combined with real-time parking space occupancy and user demand, the intelligent scheduling subsystem automatically schedules and allocates parking spaces. This subsystem employs advanced optimization algorithms and artificial intelligence technology to ensure efficient utilization of parking spaces. Furthermore, the intelligent scheduling subsystem can also link with other equipment within the parking lot, such as the turnstile system, to enable rapid vehicle entry and exit.

[0039] Data Deep Mining and Decision Support System: Utilizing big data analytics, this system deeply mines and analyzes collected parking lot data; further mining the parking lot data provides decision support for parking lot operation and management. By analyzing data such as vehicle parking time and frequency, the system can optimize parking lot layout and resource allocation; and by analyzing user parking behavior and preferences, it can provide more personalized services.

[0040] Management and Maintenance Subsystem: Responsible for the operation, maintenance, and management of the entire system, providing equipment monitoring, fault alarms, and system upgrade functions; this subsystem ensures stable system operation and continuous optimization by providing equipment monitoring, fault alarms, and system upgrade functions.

[0041] Specifically, the sharing system in this invention is similar to existing sharing systems. The main improvement of this invention lies in the real-time monitoring of parking spaces, which facilitates the control of parking spaces and makes it easier for car owners to find parking spaces. This system uses a parking space sensing subsystem to detect the occupancy status of parking spaces in real time, ensuring the accuracy and timeliness of the data. The data is then transmitted to a data processing and analysis subsystem via a data transmission subsystem. The data processing and analysis subsystem stores, manages, and analyzes the data, predicts the future usage of parking spaces, and sends the analysis results to an intelligent scheduling subsystem. The intelligent scheduling subsystem automatically schedules and allocates parking spaces based on the analysis results and real-time parking space occupancy, improving the operational efficiency of the parking lot. The user service subsystem provides car owners with convenient and personalized parking services such as real-time parking space inquiry, parking reservation, online payment, and navigation services, enhancing the parking experience for car owners. The management and maintenance subsystem monitors the system's operating status and equipment working conditions in real time, automatically alarms, and notifies relevant personnel to handle faults, ensuring the stable operation and continuous optimization of the system, while also supporting system software upgrades and functional expansions.

[0042] Specifically, the data processing and analysis subsystem outputs the analysis results to the intelligent scheduling subsystem or management personnel in the form of visual charts and reports; the data processing and analysis subsystem outputs the analysis results in the form of visual charts and reports, which facilitates data retrieval and management by management personnel.

[0043] Specifically, the data transmission subsystem employs an efficient and stable data transmission protocol to transmit the data collected by the parking space sensing subsystem to the data processing and analysis subsystem. This subsystem utilizes high-speed and stable wireless communication technologies, such as 5G and Wi-Fi, to ensure real-time and accurate data transmission. Furthermore, to ensure data security, the data transmission subsystem employs data encryption and anti-tampering technologies to prevent data from being stolen or altered during transmission.

[0044] Specifically, the data processing and analysis subsystem uses big data technology and machine learning algorithms to predict and analyze parking space usage. The data processing and analysis subsystem outputs reports and statistical data, and the management and maintenance subsystem maintains and manages the system based on the reports and statistical data output by the data processing and analysis subsystem.

[0045] Specifically, the parking space perception subsystem uses license plate recognition technology and RFID technology to automatically identify and authenticate vehicles entering and exiting the parking lot; it also uses license plate recognition technology and RFID technology to accurately identify and authenticate vehicles, ensuring parking allocation for vehicles.

[0046] Specifically, the intelligent dispatch subsystem also includes electronic guidance equipment. Based on the analysis results of the data processing and analysis subsystem and the real-time parking space occupancy status, the intelligent dispatch subsystem controls the electronic guidance equipment to guide vehicles. The intelligent dispatch subsystem controls the electronic guidance equipment installed in the parking lot, such as electronic signs and LED displays, to display parking space information and guide car owners to quickly find available parking spaces, making it convenient for car owners to find parking spaces.

[0047] Specifically, the user service subsystem generates applications including in-vehicle apps, mobile apps, and WeChat mini-programs; these apps provide users with real-time parking information, parking space reservations, navigation, and payment functions, offering multiple access channels for user convenience.

[0048] Specifically, the parking space perception subsystem also includes a payment module. The payment module includes multiple payment methods to automatically calculate and deduct parking fees. The payment module provides payment data to the user service subsystem. When a vehicle enters the parking lot, the payment module automatically starts timing. When the vehicle leaves, the payment module automatically stops timing and generates payment data, which is sent to the user service subsystem. Users can pay the fee using the vehicle's in-vehicle app, mobile app, or WeChat mini-program, eliminating the need to wait in line to pay, improving the utilization rate of parking spaces, and facilitating users to park and drive away quickly.

[0049] Example 2:

[0050] A shared parking method based on real-time monitoring via the Internet of Things, including the shared system in Embodiment 1, is described below:

[0051] S1: Car owners can query real-time parking space information through the user interface of the user service subsystem.

[0052] S2: The user service subsystem provides services such as parking reservation, online payment, and navigation based on the needs of car owners.

[0053] S3: The parking space perception subsystem monitors the occupancy status of parking spaces in real time and sends the data to the data processing and analysis subsystem.

[0054] S4: The data processing and analysis subsystem stores, manages, and analyzes data, predicts future parking space usage, and sends the analysis results to the intelligent scheduling subsystem.

[0055] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A sharing system based on real-time monitoring via the Internet of Things, characterized in that, The shared system comprises the following components: Parking space perception subsystem: Real-time perception of parking space occupancy and vehicle information through sensors and cameras installed on the ground; Data transmission subsystem: responsible for transmitting the data collected by the parking space sensing subsystem; Data processing and analysis subsystem: Receives data from the data transmission subsystem and performs real-time processing and analysis; User service subsystem: A mobile application that provides users with real-time parking space information, parking space reservation, navigation, and payment functions; Intelligent scheduling subsystem: Based on the analysis results of the data processing and analysis subsystem, combined with real-time parking space occupancy and user demand, it automatically schedules and allocates parking spaces; Data Deep Mining and Decision Support System: Utilizes big data analytics to deeply mine and analyze collected parking lot data; Management and Maintenance Subsystem: Responsible for the operation, maintenance and management of the entire system, providing equipment monitoring, fault alarms and system upgrade functions.

2. The sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The data transmission subsystem employs an efficient and stable data transmission protocol to transmit the data collected by the parking space sensing subsystem to the data processing and analysis subsystem.

3. The sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The data processing and analysis subsystem outputs the analysis results to the intelligent scheduling subsystem or management personnel in the form of visual charts and reports.

4. A sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The data processing and analysis subsystem uses big data technology and machine learning algorithms to predict and analyze parking space usage. It outputs reports and statistical data, and the management and maintenance subsystem maintains and manages the system based on the reports and statistical data output by the data processing and analysis subsystem.

5. A sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The parking space perception subsystem uses license plate recognition technology and RFID technology to automatically identify and authenticate vehicles entering and exiting the parking lot.

6. A sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The intelligent dispatch subsystem also includes electronic guidance equipment. Based on the analysis results of the data processing and analysis subsystem and the real-time parking space occupancy status, the intelligent dispatch subsystem controls the electronic guidance equipment to guide vehicles.

7. A sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The applications generated by the user service subsystem include in-vehicle app, mobile app, and WeChat mini-program.

8. A sharing system based on real-time monitoring of the Internet of Things according to claim 1, characterized in that, The parking space perception subsystem also includes a payment module, which offers multiple payment methods and enables automatic calculation and deduction of parking fees. The payment module provides payment data to the user service subsystem.

9. A shared parking method based on real-time monitoring via the Internet of Things, characterized in that, The sharing system, including any one of claims 1-8, is described in the following specific method: S1: Car owners can query real-time parking space information through the user interface of the user service subsystem. S2: The user service subsystem provides services such as parking reservation, online payment, and navigation based on the needs of car owners. S3: The parking space perception subsystem monitors the occupancy status of parking spaces in real time and sends the data to the data processing and analysis subsystem. S4: The data processing and analysis subsystem stores, manages, and analyzes data, predicts future parking space usage, and sends the analysis results to the intelligent scheduling subsystem. S5: The intelligent scheduling subsystem automatically schedules and allocates parking spaces based on the analysis results and real-time parking space occupancy, and provides parking space information to car owners through guidance equipment. S6: Based on the information from the guidance equipment, car owners can quickly find an available parking space to park.

Images