CN117456742A - Intelligent parking guidance system and method - Google Patents

Abstract

The invention relates to the field of intelligent traffic and discloses an intelligent parking guidance system and method. The intelligent parking guidance system mainly comprises four parts: the parking space state detection module, the environment data collection module, the data analysis and processing module and the AR navigation module. The parking space state detection module can detect and report the occupied state of the parking space in real time. The environment data collection module can collect surrounding environment, traffic data, and the number of in-out traffic flows and the running speed of the parking lot. The data analysis and processing module is responsible for collecting, analyzing and processing real-time data from the other two modules, and calculating the optimal navigation path of the parking lot in real time by utilizing an algorithm. Finally, the AR navigation module provides real-time optimal navigation path indication for a driver by using an augmented reality technology through a vehicle-mounted or mobile phone camera. In general, the intelligent parking guidance system can improve parking efficiency and reduce the time and effort of a driver to find a parking space.

Description

Intelligent parking guidance system and method

Technical Field

The invention relates to the field of intelligent traffic, in particular to an intelligent parking guidance system and method.

Background

With the rapid development of urbanization and the continuous increase in the amount of car maintenance, parking problems are increasingly prominent in many cities. Finding free parking spaces, especially during peak hours or in large public places such as business centers, airports, train stations and shopping centers, often becomes a challenge. This not only increases driver stress, but also creates additional congestion for urban traffic, as many vehicles travel back and forth on the road, simply to find a suitable parking location.

The parking management systems currently on the market mostly rely on conventional methods, such as using parking space indicators or manual inspection to confirm the status of a parking space. While these methods can provide some assistance, there are still many limitations to these methods. For example, an electronic display screen can only provide a substantial number of free spaces in an area, but cannot provide the driver with precise location information. This makes it still necessary for the driver to make a plurality of rounds in the parking lot, reducing the parking efficiency. For the system using the camera, the accuracy is often affected by factors such as ambient light and weather, and it is difficult to accurately provide useful guidance for the driver in real time. In addition, most parking guidance systems can only provide static parking information and cannot be dynamically adjusted due to the limitations of the prior art. This further results in a low parking efficiency, which makes a lot of time wasted by the driver when looking for a parking space.

Disclosure of Invention

The invention aims to provide an intelligent parking guidance system for improving parking efficiency.

In order to achieve the above purpose, the invention adopts the following technical scheme: an intelligent parking guidance system comprises a parking space state detection module, an environment data collection module, a data analysis and processing module and an AR navigation module; the parking space state detection module comprises a geomagnetic sensor and an infrared sensor, wherein the geomagnetic sensor and the infrared sensor are arranged on a parking space and used for detecting and reporting the occupancy state of the parking space in real time; the environment data collection module comprises a vehicle-mounted camera and a sensor, wherein the vehicle-mounted camera and the sensor are used for collecting surrounding environment and traffic data; the environment data collection module further comprises a V2X communication device, wherein the V2X communication device is used for realizing information exchange between a vehicle and road side infrastructure; the environment data collection module further comprises a traffic flow detection camera and a vehicle speed sensor, wherein the traffic flow detection camera and the vehicle speed sensor are used for monitoring the number of traffic flows entering and exiting the parking lot and the running speed of the traffic flows in and out in real time; the data analysis and processing module is used for collecting, analyzing and processing real-time data from the parking space state detection module and the environment data collection module, and calculating the shortest navigation path of the parking lot in real time by utilizing an algorithm; the AR navigation module provides real-time shortest navigation path indications to the driver using augmented reality techniques.

The principle and the advantages of the scheme are as follows: by integrating and utilizing various sensors and communication devices, real-time data about the parking lot environment and traffic flow conditions are collected and analyzed, and then an intelligent algorithm is utilized to calculate the optimal parking navigation path. First, the parking space state detection module detects and reports the occupancy state of the parking space in real time through a geomagnetic sensor and an infrared sensor mounted on the parking space. Then, the environment data collection module collects the environment, traffic data, and the number of in-out traffic flows and the running speed of the parking lot through the vehicle-mounted camera, the sensor, the V2X communication device, the traffic flow detection camera and the vehicle speed sensor. The data are sent to a data analysis and processing module which algorithmically analyzes and processes the data to calculate the optimal navigation path in real time. Finally, the AR navigation module provides real-time optimal navigation path indication to the driver using augmented reality technology.

The scheme has the main advantages that real-time and dynamic parking navigation can be realized, the parking efficiency is improved, and the time and energy for a driver to find a parking space are reduced.

Preferably, as an improvement, the indoor positioning system further comprises an indoor positioning module, wherein the indoor positioning module comprises a UWB positioning base station and a UWB positioning tag, and the UWB positioning base station is arranged in an indoor parking lot; the UWB positioning tag is arranged on the vehicle-mounted terminal or the user equipment.

The beneficial effect of this scheme: UWB technology can provide extremely high positioning accuracy far exceeding conventional GPS or Wi-Fi positioning technology. This means that the system is able to accurately locate the position of the vehicle even in an indoor environment.

Preferably, as a modification, the algorithm includes a shortest path algorithm, and the shortest path algorithm is Dijkstra algorithm.

The beneficial effect of this scheme: the Dijkstra algorithm is a classical shortest path finding algorithm that can effectively calculate the shortest path from the start point to all other points. In the parking guidance system, the Dijkstra algorithm is applied to enable the system to efficiently calculate the shortest and fastest navigation path from the current position of the vehicle to the nearest available parking space according to real-time parking space occupation conditions and environment traffic data.

Preferably, as an improvement, the system further comprises a blockchain integration module, an intelligent contract execution module and a data synchronization module; the blockchain integration module uses a blockchain technology to create and manage a decentralised parking database, wherein the parking database comprises parking space states, parking history records and parking fee records; the intelligent contract execution module generates and executes intelligent contracts on the blockchain according to the parking history record and the real-time parking space state, so as to realize automatic calculation and payment of parking cost; the data synchronization module is responsible for synchronizing parking data in the blockchain network and ensuring the consistency of the data.

The beneficial effect of this scheme: the block chain integrated module is applied, so that the management of parking space states, parking history records and parking fee records is transparent and safe, and the reliability is high. The application of the intelligent contract execution module not only automatically calculates and finishes the payment of parking fees, reduces manual operation and errors, but also improves the payment efficiency and convenience. Meanwhile, the data synchronization module ensures the consistency of parking data in the blockchain network, and improves the accuracy and reliability of the data. Therefore, the scheme further improves the automation degree of the parking system, improves the safety and transparency of data management, and simultaneously enhances the user experience, so that the parking process is more convenient.

Preferably, as an improvement, the smart contract execution module further includes generating and executing smart contracts for parking space reservation and transfer transactions.

The beneficial effect of this scheme: through the reservation function, a driver can guarantee that a parking space is available in advance, so that pressure and inconvenience caused by the fact that the parking space cannot be found after the driver reaches a destination are avoided, a parking lot operator can be helped to better manage and allocate parking resources, and the use efficiency of the parking space is improved. The transfer transaction comprises the transfer of long-term renting of the parking spaces or short-term sharing of the idle parking spaces, so that the utilization rate of parking resources is improved, the waste of the idle parking spaces is reduced, and additional income sources can be provided for people willing to share the parking spaces.

Preferably, as an improvement, the intelligent prediction module further comprises an intelligent prediction module, wherein the intelligent prediction module predicts the peak period of the parking lot and the parking habit of the vehicle based on the historical parking data and the real-time flow data training model of the parking lot.

The beneficial effect of this scheme: the scheme can help a parking lot operator to better understand and predict the parking requirements, so that the allocation and management of parking resources are optimized. The accuracy of the predictions can allow drivers to know in advance when a crowded parking lot is likely to be encountered so that plans can be made in advance. In addition, through the prediction of the parking habit of the vehicle, the system can provide more personalized services, such as recommending a parking space conforming to the habit of a driver, and further improve the user experience.

Preferably, as an improvement, the integrated device further comprises a loT integrated module, wherein the loT integrated module comprises a communication interface and a processor; the communication interface is used for communicating with intelligent city equipment; the processor is used for processing the received data and executing related instructions.

The beneficial effect of this scheme: according to the scheme, the parking guidance system is connected with a wider intelligent city device network through the loT integrated module, so that the system can acquire and utilize more information resources, and the navigation and prediction accuracy is improved. Furthermore, the connection to smart city devices also enables the system to respond to more city events.

Drawings

Fig. 1 is a schematic diagram of an intelligent parking guidance system according to a first embodiment of the present invention.

Detailed Description

The following is a further detailed description of the embodiments:

the intelligent parking guidance system shown in fig. 1 comprises a parking space state detection module, an environment data collection module, a data analysis and processing module and an AR navigation module.

In an embodiment, the parking space state detection module is mainly responsible for monitoring the occupancy state of the parking space, and for this purpose, two different detection technologies, namely a geomagnetic sensor and an infrared sensor, are adopted.

The geomagnetic sensor operates on the principle of detecting a vehicle based on a change in the geomagnetic field. When a vehicle enters a parking space, a large amount of metal parts of the vehicle can cause disturbance to the magnetic field on the ground, and the geomagnetic sensor can sense the disturbance. These sensors are typically buried under the floor of the parking space, flush with the surface, so that they are protected from rolling or damage by the vehicle. To improve the accuracy of the detection, the system also performs self-calibration to exclude other factors that may affect the magnetic field, such as large electrical appliances or other magnetic objects in the vicinity.

The infrared sensor then operates on the principle of thermal radiation. Each object emits infrared radiation and the vehicle, when entering or leaving the parking space, undergoes significant changes in thermal radiation due to the temperature of its engine and body. The infrared sensor is mounted above a parking space, such as a street lamp or a special fixture, so that these thermal changes can be monitored from above. In addition, to ensure reliability in various weather conditions, infrared sensors are often equipped with some means of protection against rain, fog, and filtering with sunlight, ensuring that only infrared radiation generated by the vehicle is detected.

By combining the data of the two sensors, the system can obtain more accurate and stable judgment of the occupied state of the parking space. If both sensors detect a vehicle, it may be determined that the parking space is occupied; conversely, if neither detects a vehicle, the parking space is considered empty. This dual detection mechanism improves the reliability and accuracy of the system.

In the environmental data collection module, first, the in-vehicle camera is mounted at the front, rear, and side wing positions of the vehicle. These cameras can capture not only the direction of travel of the vehicle and surrounding objects, but also identify pedestrians, obstacles, and other vehicles nearby. The high resolution and night vision functions ensure the effectiveness of the camera under various light conditions.

The module also incorporates various sensors, such as ultrasonic and radar sensors, which are distributed around the vehicle to provide 360 degree perceived coverage of the vehicle. Ultrasonic sensors are used primarily for short-range object detection, for example to identify obstacles during parking, while radar sensors are used for longer-range detection, for example to detect dynamic obstacles in front of a vehicle.

The V2X communication device is another key component of the environmental data collection module. V2X is a technology that allows a vehicle to communicate with other entities in its environment (e.g., other vehicles, traffic signal devices, roadside devices, etc.). In the system of the invention, this means that the vehicle can receive information from roadside devices in real time, such as the status of traffic lights, the location and meaning of traffic signs, and the location and speed of other vehicles. This may enhance the perception of the vehicle, enabling it to predict and respond to various traffic scenarios.

In order to provide a clearer understanding of the flow of vehicles in a parking lot, the module is equipped with a special vehicle flow detection camera and a vehicle speed sensor. These cameras are mounted at high points in a parking lot, such as a light pole or a building, in order to capture a view of the entire parking lot from a bird's eye view. They are able to identify and track each incoming and outgoing vehicle, thereby providing real-time data about vehicle traffic. Vehicle speed sensors are placed at key locations in the parking lot, such as entrances, exits and intersections, which monitor the speed of the vehicle, primarily through geomagnetic or radar technology, to provide further traffic flow data to the system.

In general, the environmental data collection module provides comprehensive, real-time and accurate environmental information for the intelligent parking guidance system by integrating a plurality of advanced sensing and communication technologies, thereby ensuring efficient and safe operation of the system.

The data analysis and processing module not only collects data, but also can perform deep analysis on the data to provide practical output. The following is a more detailed description of the module:

when the data analysis and processing module begins to work, the data from the parking space state detection module and the environment data collection module are initially screened and integrated. For example, for parking space data, the system would first identify all occupied parking spaces and mark those locations as unavailable. Meanwhile, the collected traffic flow data, the vehicle speed and the V2X communication information are integrated, so that more abundant context information is provided for the subsequent route planning.

Next, the system will use Dijkstra algorithm for shortest path computation. Briefly, the Dijkstra algorithm is a method of gradually determining the shortest path from each point to the initial point. In the application of parking lots, the algorithm views the parking lot as a graph structure, where each parking space, intersection and path is a node in the graph. The weighting of edges may be based on a variety of factors, such as distance, traffic flow, road conditions, and the like.

The system also takes into account other factors in order to ensure that the driver can reach the target location smoothly. For example, if there is an ongoing construction or a sudden obstacle on a path, the weight of the path will increase accordingly, so that the algorithm will not select the path. In addition, to meet the needs of different drivers, the system may also provide a variety of navigational options, such as "shortest path," avoid congestion, "or" safest route.

Once the optimal path is determined, the information is transmitted to the navigation equipment of the driver in real time, such as a vehicle-mounted display screen or a mobile phone application, and meanwhile, through combination with the AR navigation module, the driver can obtain an augmented reality navigation prompt, so that the driving process is more visual and simpler.

In summary, the data analysis and processing module provides the driver with an optimal parking navigation solution by comprehensively considering various real-time data and environmental information and utilizing Dijkstra algorithm, so as to ensure that the driver can reach the target position in the fastest and safest way.

The core of the AR navigation module is an augmented reality engine which is tightly combined with a vehicle-mounted or mobile phone camera. When the driver turns on the AR navigation mode, the camera starts capturing a real-time picture in front of the vehicle. The augmented reality engine fuses the real-time frames with navigation data from the data analysis and processing module, and superimposes relevant navigation information on the frames in real time.

In particular, the driver can see a series of dynamic graphics and instructions on the screen. For example, when the driver needs to turn, a clear arrow with direction indicates on the screen, which extends along the real road surface to guide the driver to turn. If the target parking space is in front, the system may highlight the parking space and display a floating park indication thereon.

In addition, the AR navigation module displays other useful information, such as a distance indicator, which is dynamically updated as the vehicle moves, showing the driver the remaining distance from the target parking space. The estimated time of arrival is also calculated and displayed in real time, taking into account possible traffic conditions or obstacles.

To enhance the user experience, the system also supports voice prompts and interactions. The driver may interact with the system by simple voice commands such as "display next turn" or "i need to find the nearest exit". Meanwhile, the system can also provide voice guidance according to the actual road conditions, such as 'forward 300 m left turn'.

Finally, the goal of the AR navigation module is to provide a seamless, intuitive and efficient navigation experience for the driver. By combining virtual navigation information with the real world, it ensures that drivers can easily find their destination while reducing the likelihood of distraction from looking at a traditional navigation interface.

By this method of integrating multiple modules and advanced technology, the intelligent parking guidance system provides a solution for the driver to quickly and accurately find the parking space in a busy or complex parking lot environment.

Meanwhile, the embodiment further comprises an indoor positioning module, wherein the indoor positioning module comprises a UWB positioning base station and a UWB positioning tag, the UWB positioning base station is arranged in the indoor parking lot, and the UWB positioning tag is arranged on the vehicle-mounted terminal or the user equipment.

The indoor positioning module uses UWB (Ultra-wide) Ultra-Wideband technology, and is particularly suitable for indoor parking lots. UWB technology is a wireless communication technology that transmits information at low energy levels over a very wide frequency band (at least 500 MHz). UWB has the advantages of high rate, low power consumption, low interference, and high accuracy of positioning due to its broadband nature.

In this embodiment, the UWB positioning system mainly includes a UWB transmitter and a UWB receiver. UWB transmitters are installed at various locations of a parking lot, such as four corners or a ceiling of the parking lot, for transmitting UWB signals. The UWB receiver is mounted on the vehicle for receiving signals from the UWB transmitter.

When the vehicle enters the parking lot, the onboard UWB receiver begins to receive signals from the various UWB transmitters. By measuring the Time of Flight (TOF) of the signal from each UWB transmitter to the UWB receiver, the three-dimensional position of the vehicle within the parking lot can be accurately calculated. These location information are then sent to a data analysis and processing module for calculating the optimal navigation path.

Due to the high-precision positioning capability of the UWB technology, the indoor positioning module can accurately provide the position information of the vehicle in the parking lot, so that accurate data is provided for calculating the optimal navigation path, and the parking efficiency and convenience are improved. At the same time, the high speed and low interference characteristics of UWB technology also ensure that stable and reliable location services can still be provided in complex indoor environments, such as multi-layer parking lots.

The embodiment also comprises a loT integrated module, wherein the loT integrated module comprises a communication interface and a processor; the communication interface is used for communicating with intelligent city equipment; the processor is used for processing the received data and executing related instructions.

The communication interface is an important component of the IoT integration module, responsible for communicating with various smart city devices. Such devices include, but are not limited to, traffic lights, roadside sensors, V2X systems of other vehicles, weather forecast systems, and the like. The system can receive and utilize data from these devices, such as real-time traffic conditions, traffic information, etc., to provide more accurate and timely navigation services.

For example, when a vehicle enters a parking lot, the communication interface may communicate with roadside sensors to acquire real-time data about traffic conditions, road conditions, and the like; meanwhile, the vehicle can also communicate with V2X systems of other vehicles to acquire information such as the positions, the speeds and the like of surrounding vehicles.

The communication interface may support a variety of communication protocols, such as Wi-Fi, zigBee, loRaWAN, LTE, 5G, etc., to accommodate the communication needs of different devices.

The processor is the core of the IoT integration module and is responsible for processing received data and executing related instructions. The processor may be a microprocessor or microcontroller with sufficient computing power to perform data analysis and processing.

After receiving the data from the communication interface, the processor performs necessary data processing, such as data cleansing, data fusion, etc., and then transmits the processed data to the data analysis and processing module. The processor may also receive instructions from the data analysis and processing module, such as to start or stop data collection, adjust data collection frequency, send data to a particular smart city device, etc., and execute the instructions.

Through the IoT integration module, the intelligent parking guidance system of the embodiment can be seamlessly integrated with other devices in an intelligent city, so that real-time sharing and interaction of data are realized, and the intelligent degree and service quality of the system are improved.

Example two

The difference between the first embodiment and the second embodiment is that the first embodiment further includes a blockchain integration module, an intelligent contract execution module, and a data synchronization module; the blockchain integration module uses a blockchain technology to create and manage a decentralised parking database, wherein the parking database comprises parking space states, parking history records and parking fee records; the intelligent contract execution module generates and executes intelligent contracts on the blockchain according to the parking history record and the real-time parking space state, so as to realize automatic calculation and payment of parking cost; the data synchronization module is responsible for synchronizing parking data in the blockchain network and ensuring the consistency of the data.

The blockchain integration module uses blockchain technology to create and manage a de-centralized parking database. The block chain is a distributed database technology, performs data storage by using a chain structure of block data, and has the characteristics of decentralization, non-tampering, traceability and the like. In the system, the blockchain integration module stores information such as parking space states, parking history records, parking expense records and the like on the blockchain, so that the safety and the integrity of data are ensured.

Each parking space state change, parking record generation, or parking fee payment is recorded as an independent transaction, and when a new transaction (e.g., parking record generation or parking fee payment) is added to the blockchain, the blockchain integration module verifies the validity of the transaction (e.g., checks if there is a sufficient balance to pay for parking). Only transactions that are verified as valid will be added to the blockchain, each blockchain node will store a complete history of those transactions, meaning that data will not be lost even if some nodes fail. The blockchain integration module is responsible for managing all nodes in the blockchain network. This includes adding new nodes, deleting invalid nodes, and ensuring that each node has the most up-to-date blockchain data.

The intelligent contract execution module is mainly responsible for generating and executing intelligent contracts on the blockchain, so that automatic calculation and payment of parking fees are realized. Such an automated process can improve the efficiency and user experience of the system.

Smart contracts are technically an automated program executing on a blockchain that automatically triggers and executes predetermined contract terms when certain conditions are met. In this smart parking system, the smart contract execution module will use this technique to handle various parking related transactions.

When a vehicle enters a parking space, the smart contract execution module generates a new smart contract and records the arrival time of the vehicle and associated parking space information. This smart contract also contains the rules for calculating the parking fee and the way of paying. These rules and modes are usually preset according to the specific policy of the parking lot, and can be customized according to the special requirements of the user.

The intelligent merge date is automatically triggered when the vehicle leaves the parking space. First, it calculates the parking fee based on the actual parking time of the vehicle and the billing rules previously preset in the smart contract. The smart contract will then automatically deduct the corresponding fee from the owner's digital wallet and transfer the fee to the parking lot account. This process is fully automated, without any human intervention, nor any intervening mechanism.

In addition, the intelligent contract execution module records all parking history records and real-time parking space states on the blockchain. These data may be used not only to generate and execute smart contracts, but also to provide users with a query for historical parking records, or to view the status of parking spaces in real time. The transparency and traceability of such data is a great advantage of blockchain technology.

The data synchronization module is responsible for synchronizing parking data in the blockchain network and ensuring the consistency of the data. Because the blockchain is a distributed database, each node has a complete copy of the data, data synchronization is critical to the operation of the blockchain.

In the system, when the parking space state changes, new parking records are generated, new intelligent contracts are executed and other events occur, the data synchronization module broadcasts the information to all nodes in the blockchain network, and each node is ensured to have the latest data.

In this embodiment, the smart contract execution module further includes a smart contract that generates and executes parking space reservation and transfer transactions.

In a scene of reserving a parking space, a user first selects a parking space desired to be reserved and a reserved time through an application. The application program will send this information to the smart contract execution module which then generates a new smart contract containing the reserved parking space, reserved time, reserved fees and account information for the subscriber. This smart contract is verified and recorded on the blockchain, at which point the corresponding parking space status is updated to "reserved". When the reserved time arrives, the system detects whether a vehicle enters the parking space. If a vehicle enters, the reservation is successful, the system deducts the reservation fee from the reservation's account according to the smart contract and reserves the spot. If no vehicle is entering, the reservation fails and the system may decide whether to refund the reservation fee according to a specific policy.

In a scenario of transfer of a parking space, a user selects a parking space that the user wants to transfer and transfer conditions, such as price, transfer time, etc., through an application. The application program will send this information to the smart contract execution module. The smart contract execution module generates a new smart contract that records the assigned parking space, the assigned conditions, and account information of the transferor. This smart contract is verified and recorded on the blockchain, at which point the corresponding parking space status is updated to "to be transferred". When a person accepts the transfer condition and is willing to purchase the parking space, the system sends this information to the smart contract execution module. The smart contract execution module may trigger a corresponding smart contract, transfer the transferor's parking space to the purchaser, and transfer the purchase fee from the purchaser's account to the transferor's account.

In both scenarios, all transactions are automatically handled by the smart contract without human intervention. All transaction records are permanently stored on the blockchain to provide traceability and non-tamper-ability to ensure transparency and fairness of transactions, while also providing a convenient and efficient parking service.

Example III

The difference between the present embodiment and the second embodiment is that the present embodiment further includes an intelligent prediction module, which predicts a peak period of the parking lot and a parking habit of the vehicle based on the historical parking data and the real-time traffic data training model of the parking lot.

In this embodiment, the intelligent prediction module is mainly used for modeling and predicting, based on the historical parking data and the real-time traffic data of the parking lot, to predict peak hours of the parking lot and parking habits of the vehicle through a machine learning manner.

First, the intelligent prediction module will collect and process historical parking data and real-time traffic data for the parking lot. The historical parking data may include frequency of use, period of use, duration of parking, etc. for each parking space. The real-time traffic data may include the number of vehicles currently in the parking lot, the number of vehicles entering and exiting, etc. These data may be obtained from smart contracts or other data sources.

The intelligent prediction module then trains the model using machine learning algorithms (e.g., decision trees, neural networks). During training, the model learns complex relationships between parking data and traffic data, and how they affect peak hours of the parking lot and parking habits of the vehicle.

Finally, once the model training is complete, the intelligent prediction module may use this model to predict future peak hours in the parking lot and vehicle parking habits. For example, the model might predict that 9 a.m. to 6 a.m. each day is a peak period in a parking lot during which most vehicles would be parked for 4 hours.

If the system predicts that a certain time period will be a peak time period, the navigation strategy can be adjusted in advance to guide the vehicle preferentially to the area with lower utilization rate; if the system knows the parking habits of the user, a more personalized navigation service can be provided according to the user habits. These predictions may also help the parking manager make better decisions such as adjusting parking fees, optimizing parking space allocation, etc.

Notably, since the usage of the parking lot may vary over time and other factors (e.g., weather, holidays, etc.), the intelligent prediction module needs to update the model periodically to ensure the accuracy of the prediction.

The foregoing is merely exemplary of the present invention, and specific technical solutions and/or features that are well known in the art have not been described in detail herein. It should be noted that, for those skilled in the art, several variations and modifications can be made without departing from the technical solution of the present invention, and these should also be regarded as the protection scope of the present invention, which does not affect the effect of the implementation of the present invention and the practical applicability of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims (8)

1. An intelligent parking guidance system, characterized in that: the system comprises a parking space state detection module, an environment data collection module, a data analysis and processing module and an AR navigation module;

the parking space state detection module comprises a geomagnetic sensor and an infrared sensor, wherein the geomagnetic sensor and the infrared sensor are arranged on a parking space and used for detecting and reporting the occupancy state of the parking space in real time;

the environment data collection module comprises a vehicle-mounted camera and a sensor, wherein the vehicle-mounted camera and the sensor are used for collecting surrounding environment and traffic data; the environmental data collection module further comprises a V2X communication device; the environment data collection module further comprises a traffic flow detection camera and a vehicle speed sensor, wherein the traffic flow detection camera and the vehicle speed sensor are used for monitoring the number of traffic flows entering and exiting the parking lot and the running speed of the traffic flows in and out in real time;

the data analysis and processing module is used for collecting, analyzing and processing real-time data from the parking space state detection module and the environment data collection module, and calculating the shortest navigation path of the parking lot in real time by utilizing an algorithm;

the AR navigation module provides real-time shortest navigation path indication to a driver using augmented reality technology.

2. The intelligent parking guidance system of claim 1, wherein: the indoor positioning module comprises a UWB positioning base station and a UWB positioning tag, and the UWB positioning base station is arranged in an indoor parking lot; the UWB positioning tag is arranged on the vehicle-mounted terminal or the user equipment.

3. The intelligent parking guidance system of claim 1, wherein: the algorithm comprises a shortest path algorithm, and the shortest path algorithm is Dijkstra algorithm.

4. The intelligent parking guidance system of claim 1, wherein: the system also comprises a block chain integration module, an intelligent contract execution module and a data synchronization module; the blockchain integration module uses a blockchain technology to create and manage a decentralised parking database, wherein the parking database comprises parking space states, parking history records and parking fee records; the intelligent contract execution module generates and executes intelligent contracts on the blockchain according to the parking history record and the real-time parking space state, so as to realize automatic calculation and payment of parking cost; the data synchronization module is responsible for synchronizing parking data in the blockchain network and ensuring the consistency of the data.

5. The intelligent parking guidance system of claim 4, wherein: the smart contract execution module also includes a smart contract that generates and executes parking space reservation and transfer transactions.

6. The intelligent parking guidance system of claim 1, wherein: the intelligent prediction module is used for predicting the peak period of the parking lot and the parking habit of the vehicle based on the historical parking data and the real-time flow data training model of the parking lot.

7. The intelligent parking guidance system of claim 1, wherein: the system further comprises a loT integrated module, wherein the loT integrated module comprises a communication interface and a processor; the communication interface is used for communicating with intelligent city equipment; the processor is used for processing the received data and executing related instructions.

8. An intelligent parking guiding method is characterized in that: the method using the intelligent parking guidance system of any one of the preceding claims 1-7.