Parking lot management system based on cloud side linkage

Abstract

The invention relates to the technical field of intelligent parking management, in particular to a parking lot management system based on cloud side linkage. Comprising a parking space analysis module, a site identification module, a difficulty analysis module and a parking space guiding module. The parking space analysis module is used for analyzing the occupancy proportion and occupancy distribution of the parking spaces of each parking space type according to the preset parking space type of each parking space and whether the parking spaces are occupied or not; the site identification module is used for marking current unoccupied non-fixed parking spaces according to the occupied distribution of the non-fixed parking spaces and respectively acquiring site factors of all the unoccupied non-fixed parking spaces if the non-fixed parking space users enter the parking lot when the occupied proportion of the non-fixed parking spaces is higher than a preset proportion; the difficulty analysis module is used for judging the parking difficulty of each unoccupied non-fixed parking space according to the site factors; and the parking space guiding module is used for acquiring vehicle information of non-fixed users entering the parking lot and performing matching to obtain recommended parking spaces.

Description

Technical Field

[0001] This invention relates to the field of intelligent parking management technology, specifically to a parking management system based on cloud-edge linkage. Background Art

[0002] Currently, parking spaces in parking lots are generally divided into fixed and non-fixed spaces. Fixed spaces are reserved for parking by owners or monthly renters and can only be used by designated vehicles. Other vehicles are not allowed to park there. Non-fixed spaces are open to all other vehicles.

[0003] Fixed and non-fixed parking spaces are typically clearly marked to facilitate safe and orderly parking according to the signs. Drivers who haven't purchased a parking space or are renting a space can park in a parking garage by looking for a space marked with a non-fixed parking sign. However, when there are many non-fixed parking spaces in a parking lot, this can cause some problems. Since non-fixed parking users simply park their car in a non-fixed space without having to consider which non-fixed space they choose, the availability of non-fixed parking spaces is constantly changing. People typically park in convenient locations, so when no other vehicles are available, the fewer non-fixed parking spaces there are, the harder it is to find and park in. For example, the remaining spaces are often found in corners, spaces blocked by pillars, and spaces in the middle of the parking lot.

[0004] Because parking lots are often located underground and dimly lit, finding a parking space can be challenging. Consequently, users entering non-dedicated parking spaces often spend significant time searching for a remaining non-dedicated space. Furthermore, the remaining space in the remaining spaces may be occupied by adjacent vehicles, making parking even more difficult for larger vehicles. This situation often leads to the direct occupation of fixed spaces or parking in non-dedicated areas, complicating parking lot management. Summary of the Invention

[0005] The technical problem solved by this invention is to provide a parking management system based on cloud-edge linkage, which can help users with non-fixed parking spaces find parking spaces when there are many non-fixed parking spaces occupied.

[0006] The basic solution provided by this invention is a cloud-edge linkage-based parking management system, characterized in that it includes edge devices and servers. Edge devices include parking space sensing devices, parking entry sensing devices, and guidance modules. The parking space sensing devices are used to detect whether each parking space is occupied, and the parking entry sensing devices are used to detect whether each vehicle entering or leaving the parking lot is a fixed parking space user. The server includes a parking space analysis module, a site identification module, a difficulty analysis module and a parking space guidance module; The parking space analysis module is used to analyze the occupancy rate and distribution of each parking space type based on the preset parking space type and whether it is occupied. The site recognition module is used to mark the currently available non-fixed parking spaces when the occupancy rate of non-fixed parking spaces is higher than a preset rate, and to obtain the site factors of each available non-fixed parking space when a non-fixed parking space user enters the parking lot. The difficulty analysis module determines the parking difficulty of each available non-fixed parking space based on site factors; The parking guidance module is used to obtain vehicle information of non-fixed users entering the parking lot, match the vehicle information with the parking difficulty of the currently available non-fixed parking spaces to obtain recommended parking spaces, generate guidance information for the recommended parking spaces, and send the guidance information to the edge device. The boot module is used to display boot information.

[0007] The principles and advantages of this invention are as follows: Edge sensing devices identify the occupancy status of each parking space and the entry and exit of vehicles. Users are categorized into those with fixed parking spaces and those with non-fixed parking spaces, and parking spaces are also categorized as fixed and non-fixed. When a vehicle enters, the occupancy rate of the non-fixed parking spaces is identified. If the occupancy rate of non-fixed parking spaces exceeds a preset percentage (e.g., in a scenario with 100 non-fixed parking spaces and a preset percentage of 95%), then more than 95 non-fixed parking spaces are occupied, leaving fewer than 5 available spaces. In this case, finding a suitable location for a non-fixed parking space is difficult, and it may be due to factors such as improper parking by neighboring vehicles or surrounding obstacles. Therefore, the system assesses the location factors of the available non-fixed parking spaces to determine the difficulty of parking in those spaces. Furthermore, it acquires vehicle information, matches it with the parking difficulty of each parking space based on the vehicle information, and generates recommended parking spaces. It then displays the guidance information through the edge guidance device, thereby helping non-fixed parking space users find suitable parking spaces when non-fixed parking spaces are occupied in large numbers.

[0008] Furthermore, the difficulty analysis module includes a site restriction recognition module, an experience restriction recognition module, and a parking space marking module; The site restriction recognition module is used to identify whether there are parking difficulties due to site restrictions in vacant non-fixed parking spaces based on site factors. The experience limitation recognition module is used to identify whether there are parking difficulties due to experience limitations in vacant non-fixed parking spaces based on site factors. The parking space marking module is used to mark the parking difficulty of each vacant non-fixed parking space; The parking guidance module is used to obtain the driver's driving experience based on vehicle information when a non-fixed parking space user enters the parking lot, and determine whether the driving experience meets the preset requirements. If it does, it generates an available non-fixed parking space with an experience restriction mark based on the driver's driving experience. If it does not meet the requirements, it identifies vehicle parameters based on vehicle information, including width, height and wheelbase, and generates an available non-fixed parking space with only a site restriction mark that meets the vehicle parameters.

[0009] The difficulty of parking in vacant non-fixed parking spaces is categorized into two types: site limitations and experience limitations. Site limitations arise from irregular shapes of the parking space itself, or from other vehicles parking improperly, encroaching on part of the space's area, resulting in a smaller vacant non-fixed parking space, or from irregular shapes preventing larger vehicles from parking. Experience limitations arise from obstacles such as walls, corners, or pillars nearby that hinder vehicle entry, requiring a higher level of driving experience to park. When a vehicle enters, the system identifies the driver's driving experience. If the driver is experienced, a parking space with the added difficulty due to driving experience is generated. If the driver is less experienced, a parking space with site limitations but lower difficulty matching the vehicle's parameters is found.

[0010] Furthermore, the parking space sensing device is an AI camera used to capture images of the parking lot and identify whether each parking space is occupied based on the parking line images; The site recognition module includes a vacant parking space analysis module, which includes a shape recognition module, an obstacle recognition module, and a ground recognition module; The shape recognition module is used to identify the shape of each vacant non-fixed parking space based on the parking lot image, and to determine whether the parking space shape is a standard shape. When the parking space shape is a standard shape, the module identifies the dimensions of the parking space, including the length and width of the parking space, and determines whether the length and width are standard. When the parking space shape is a standard shape and the length and width are standard, the parking space does not have parking difficulties caused by site restrictions; otherwise, it has parking difficulties due to site restrictions. The obstacle recognition module is used to identify whether there are obstacles within a preset distance of each vacant non-fixed parking space based on parking lot images. If there are obstacles, there is parking difficulty due to experience limitations; if there are no obstacles, there is no parking difficulty due to experience limitations.

[0011] Furthermore, the parking guidance module includes an information acquisition module, an experience judgment module, and a vehicle judgment module; The information acquisition module is used to acquire vehicle license plates and, based on the vehicle license plates, retrieve driver information associated with the vehicle and vehicle accidents that occurred in the parking lot from the vehicle management office platform. The experience judgment module determines whether the driver's experience meets the preset requirements based on driver information and vehicle accidents. When the driving experience meets the preset requirements, it generates guidance information for available non-fixed parking spaces with experience limit markers. The vehicle identification module, when driving experience does not meet preset requirements, is used to identify the available non-fixed parking space whose size is closest to the vehicle's parameters based on the vehicle parameters, and generate guidance information.

[0012] Furthermore, the server also includes a fixed parking space user identification module. The fixed parking space user identification module is used to generate user profiles of fixed parking space users based on their entry and exit records. The parking space borrowing module is used to identify fixed parking space users who are not in the parking lot within a preset time period based on user profiles when the driving experience of a non-fixed parking space user does not meet the preset requirements and there is no available non-fixed parking space with site restrictions that meets their vehicle parameters. The module sends a parking space borrowing request to the user and generates guidance information for the fixed parking space after obtaining consent to borrow the space. Attached Figure Description

[0013] Figure 1 This is a logic block diagram of an embodiment of a cloud-edge linkage parking management system according to the present invention. Detailed Implementation

[0014] The following detailed description illustrates the specific implementation method: The embodiment is basically as shown in the attached Figure 1 As shown: A parking management system based on cloud-edge linkage, characterized in that it includes edge devices and servers; Edge devices include parking space sensing devices, parking entry sensing devices, and guidance modules. The parking space sensing devices are used to detect whether each parking space is occupied, and the parking entry sensing devices are used to detect whether each vehicle entering or leaving the parking lot is a fixed parking space user. The server includes a parking space analysis module, a site identification module, a difficulty analysis module and a parking space guidance module; The parking space analysis module is used to analyze the occupancy rate and distribution of each parking space type based on the preset parking space type and whether it is occupied. The site recognition module is used to mark the currently available non-fixed parking spaces when the occupancy rate of non-fixed parking spaces is higher than a preset rate, and to obtain the site factors of each available non-fixed parking space when a non-fixed parking space user enters the parking lot. The difficulty analysis module determines the parking difficulty of each available non-fixed parking space based on site factors; The parking guidance module is used to obtain vehicle information of non-fixed users entering the parking lot, match the vehicle information with the parking difficulty of the currently available non-fixed parking spaces to obtain recommended parking spaces, generate guidance information for the recommended parking spaces, and send the guidance information to the edge device. The boot module is used to display boot information.

[0015] The principles and advantages of this invention are as follows: Edge sensing devices identify the occupancy status of each parking space and the entry and exit of vehicles. Users are categorized into those with fixed parking spaces and those with non-fixed parking spaces, and parking spaces are also categorized as fixed and non-fixed. When a vehicle enters, the occupancy rate of the non-fixed parking spaces is identified. If the occupancy rate of non-fixed parking spaces exceeds a preset percentage (e.g., in a scenario with 100 non-fixed parking spaces and a preset percentage of 95%), then more than 95 non-fixed parking spaces are occupied, leaving fewer than 5 available spaces. In this case, finding a suitable location for a non-fixed parking space is difficult, and it may be due to factors such as improper parking by neighboring vehicles or surrounding obstacles. Therefore, the system assesses the location factors of the available non-fixed parking spaces to determine the difficulty of parking in those spaces. Furthermore, it acquires vehicle information, matches it with the parking difficulty of each parking space based on the vehicle information, and generates recommended parking spaces. It then displays the guidance information through the edge guidance device, thereby helping non-fixed parking space users find suitable parking spaces when non-fixed parking spaces are occupied in large numbers.

[0016] The difficulty analysis module includes a site restriction recognition module, an experience restriction recognition module, and a parking space marking module; The site restriction recognition module is used to identify whether there are parking difficulties due to site restrictions in vacant non-fixed parking spaces based on site factors. The experience limitation recognition module is used to identify whether there are parking difficulties due to experience limitations in vacant non-fixed parking spaces based on site factors. The parking space marking module is used to mark the parking difficulty of each vacant non-fixed parking space; The parking guidance module is used to obtain the driver's driving experience based on vehicle information when a non-fixed parking space user enters the parking lot, and determine whether the driving experience meets the preset requirements. If it does, it generates an available non-fixed parking space with an experience restriction mark based on the driver's driving experience. If it does not meet the requirements, it identifies vehicle parameters based on vehicle information, including width, height and wheelbase, and generates an available non-fixed parking space with only a site restriction mark that meets the vehicle parameters.

[0017] The difficulty of parking in vacant non-fixed parking spaces is categorized into two types: site limitations and experience limitations. Site limitations arise from irregular shapes of the parking space itself, or from other vehicles parking improperly, encroaching on part of the space's area, resulting in a smaller vacant non-fixed parking space, or from irregular shapes preventing larger vehicles from parking. Experience limitations arise from obstacles such as walls, corners, or pillars nearby that hinder vehicle entry, requiring a higher level of driving experience to park. When a vehicle enters, the system identifies the driver's driving experience. If the driver is experienced, a parking space with the added difficulty due to driving experience is generated. If the driver is less experienced, a parking space with site limitations but lower difficulty matching the vehicle's parameters is found.

[0018] The parking space sensing device is an AI camera used to capture images of the parking lot and identify whether each parking space is occupied based on the images of the parking lines. The site recognition module includes a vacant parking space analysis module, which includes a shape recognition module, an obstacle recognition module, and a ground recognition module; The shape recognition module is used to identify the shape of each vacant non-fixed parking space based on the parking lot image, and to determine whether the parking space shape is a standard shape. When the parking space shape is a standard shape, the module identifies the dimensions of the parking space, including the length and width of the parking space, and determines whether the length and width are standard. When the parking space shape is a standard shape and the length and width are standard, the parking space does not have parking difficulties caused by site restrictions; otherwise, it has parking difficulties due to site restrictions. The obstacle recognition module is used to identify whether there are obstacles within a preset distance of each vacant non-fixed parking space based on parking lot images. If there are obstacles, there is parking difficulty due to experience limitations; if there are no obstacles, there is no parking difficulty due to experience limitations.

[0019] The parking guidance module includes an information acquisition module, an experience judgment module and a vehicle judgment module; The information acquisition module is used to acquire vehicle license plates and, based on the vehicle license plates, retrieve driver information associated with the vehicle and vehicle accidents that occurred in the parking lot from the vehicle management office platform. The experience judgment module determines whether the driver's experience meets the preset requirements based on driver information and vehicle accidents. When the driving experience meets the preset requirements, it generates guidance information for available non-fixed parking spaces with experience limit markers. The vehicle identification module, when driving experience does not meet preset requirements, is used to identify the available non-fixed parking space whose size is closest to the vehicle's parameters based on the vehicle parameters, and generate guidance information.

[0020] The server also includes a fixed parking space user identification module. The fixed parking space user identification module is used to generate user profiles of fixed parking space users based on their entry and exit records. The parking space borrowing module is used to identify fixed parking space users who are not in the parking lot within a preset time period based on user profiles when the driving experience of a non-fixed parking space user does not meet the preset requirements and there is no available non-fixed parking space with site restrictions that meets their vehicle parameters. The module sends a parking space borrowing request to the user and generates guidance information for the fixed parking space after obtaining consent to borrow the space.

[0021] The above are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. The parking lot management system based on cloud-edge linkage is characterized by: Including edge devices and servers; The edge devices include parking space sensing devices, parking entry sensing devices, and guidance modules. The parking space sensing devices are used to detect whether each parking space is occupied, and the parking entry sensing devices are used to detect whether each vehicle entering and leaving the parking lot is a fixed parking space user. The server includes a parking space analysis module, a site identification module, a difficulty analysis module and a parking space guidance module; The parking space analysis module is used to analyze the occupancy ratio and occupancy distribution of each parking space type according to the preset parking space type and whether each parking space is occupied; The site identification module is used to mark the currently available non-fixed parking spaces according to the occupancy distribution of non-fixed parking spaces when the occupancy ratio of non-fixed parking spaces is higher than a preset ratio, and obtain the site factors of each available non-fixed parking space respectively; The difficulty analysis module determines the parking difficulty of each vacant non-fixed parking space based on site factors; The parking guidance module is used to obtain the vehicle information of non-fixed users entering the parking lot, match the vehicle information with the parking difficulty of the currently available non-fixed parking spaces to obtain recommended parking spaces, generate guidance information for the recommended parking spaces, and send the guidance information to the edge device; A guide module, used for displaying guide information; The difficulty analysis module includes a site restriction recognition module, an experience restriction recognition module and a parking space marking module; A site restriction identification module is used to identify whether there are any parking difficulties caused by site restrictions in the available non-fixed parking spaces according to site factors; An experience restriction identification module is used to identify whether there are parking difficulties in the available non-fixed parking spaces due to experience restrictions based on site factors; The parking space marking module is used to mark the parking difficulty of each vacant non-fixed parking space; The parking space guidance module is used to obtain the driver's driving experience based on the vehicle information when a user of a non-fixed parking space enters the parking lot, and determine whether the driving experience meets the preset requirements. If so, an available non-fixed parking space with an experience restriction mark is generated based on the driver's driving experience; if not, the vehicle parameters are identified based on the vehicle information, and the vehicle parameters include width, height, and wheelbase, and an available non-fixed parking space with only a site restriction mark that meets the vehicle parameters of the vehicle is generated based on the vehicle parameters.

2. The parking lot management system based on cloud-edge linkage according to claim 2 is characterized in that: The parking space sensing device is an AI camera, which is used to capture parking lot images and identify whether each parking space is occupied based on the parking line images; The site recognition module includes a vacant parking space analysis module, which includes a shape recognition module, an obstacle recognition module and a ground recognition module; A shape recognition module is used to recognize the parking space shapes of each vacant non-fixed parking space according to the parking lot image, and determine whether the parking space shape is a standard shape. When the parking space shape is a standard shape, the parking space size is recognized, and the parking space size includes the parking space length and the parking space width, and determine whether it is a standard length and width. When the parking space shape is a standard shape and the length and width are standard length and width, the parking space does not have a parking difficulty caused by site restrictions, otherwise it has a parking difficulty due to site restrictions; The obstacle recognition module is used to identify whether there are obstacles within a preset distance of each vacant non-fixed parking space based on the parking lot image. If there are obstacles, there will be parking difficulty due to experience limitations. If not, there will be no parking difficulty due to experience limitations.

3. The parking lot management system based on cloud-edge linkage according to claim 2 is characterized in that: The parking guidance module includes an information acquisition module, an experience judgment module and a vehicle judgment module; The information acquisition module is used to obtain the vehicle license plate, and obtain the driver information associated with the vehicle and the vehicle accident that occurred in the parking lot from the vehicle management platform according to the vehicle license plate; An experience judgment module determines whether the driving experience meets the preset requirements based on the driver information and vehicle accidents, and generates guidance information for an empty non-fixed parking space with an experience restriction mark when the driving experience meets the preset requirements; The vehicle judgment module is used to identify an available non-fixed parking space whose size is closest to the vehicle parameters of the vehicle according to the vehicle parameters, and generate guidance information when the driving experience does not meet the preset requirements.

4. The parking lot management system based on cloud-edge linkage according to claim 3 is characterized by: The server also includes a fixed parking space user identification module, A fixed parking space user identification module is used to generate a user profile of a fixed parking space user based on the entry and exit records of each fixed parking space user; The parking space borrowing module is used to identify fixed parking space users who are not in the parking lot within a preset time period based on user portraits when the driving experience of the user entering the non-fixed parking space does not meet the preset requirements and there are no vacant non-fixed parking spaces with site restrictions that meet their vehicle parameters, send them a parking space borrowing request, and generate guidance information for the fixed parking space after obtaining consent to borrow.

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