Parking space parking reverse searching management system based on underground parking garage stereo garage

Abstract

The invention discloses a parking space parking reverse searching management system based on an underground parking garage stereo garage, and relates to the technical field of parking lot management, and the system comprises the following modules: a parking space camera positioning module which is used for installing a parking space camera on each parking space, obtaining a parking space image through the parking space camera, and judging whether the parking space is an empty parking space through the parking space image; whether a vehicle is parked on a parking space or not is recognized through the geomagnetic vehicle detector, so that whether the parking space is an empty parking space or not is further judged conveniently, whether a vehicle is parked on the parking space or not is judged jointly through the judgment result of the parking space camera and the judgment result of the geomagnetic vehicle detector, and the situation that the judgment result is affected by shielding of the parking space camera is avoided; and meanwhile, misjudgment caused by magnetic field errors of the geomagnetic vehicle detector can be avoided, so that the accuracy of an empty parking space judgment result can be improved, parking space resources can be fully used, and the revenue of a parking lot can be improved.

Description

Technical Field

[0001] This invention relates to the field of parking management technology, specifically a parking space reverse search management system based on an underground parking garage. Background Technology

[0002] Underground parking garages are a modern parking solution that efficiently utilizes limited space. They transform traditional flat parking spaces into multi-level structures through mechanical lifting and lateral sliding systems, enabling vertical parking of vehicles. These garages typically employ automated control. Drivers simply park their vehicles at the designated entrance platform, and the subsequent handling, storage, and retrieval processes are all completed automatically by mechanical devices. They not only significantly increase parking capacity per unit area and alleviate the urban "parking difficulty" problem, but also feature security monitoring, intelligent reservation, and energy-saving design. They are particularly suitable for commercial areas, residential areas, or transportation hubs where land resources are scarce, and are an important facility for optimizing static traffic in the construction of smart cities. Underground parking garages are generally classified into four types: 1. Horizontal movement type: A "transporter" is set up on the same floor to move the vehicle horizontally to the elevator; the elevator then moves vertically to transport the vehicle to the target floor; after arriving at the target floor, another transporter sends the vehicle into an empty parking space. 2. Lane stacking type: Similar to the horizontal movement type, but it uses a "stacking machine" that integrates lifting and horizontal movement functions, operating in a fixed lane to serve the parking spaces on both sides of the lane. 3. Vertical lifting type (or tower garage): One or more high-speed elevators vertically lift the vehicle to the designated floor, and then a lateral movement device sends the vehicle into or out of the parking space. 4. Vertical circulation type: A vertical chain drive system drives multiple car carriers to circulate until the target parking space reaches the ground floor. Regardless of the type of underground parking garage mentioned above, parking or retrieving a vehicle requires using the corresponding numbered garage rack controller. However, due to high traffic volume, underground parking garages often suffer from insufficient parking space supply, frequently resulting in vehicles being unable to find a space, leading to difficulties in both parking and locating their vehicles. Consequently, parking resources are not being utilized effectively. To make parking and vehicle retrieval more convenient for car owners in underground parking garages and to increase parking revenue, we propose a parking space reverse retrieval management system based on underground parking garages. Summary of the Invention

[0003] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a parking space reverse search management system based on an underground parking garage, in order to solve the aforementioned problems in the prior art.

[0004] (II) Technical Solution To achieve the above objectives, the present invention provides a parking space reverse-search management system based on an underground parking garage, comprising the following modules: The parking space camera positioning module is installed in each parking space. The parking space camera acquires images of the parking space and determines whether the parking space is empty based on the images. The geomagnetic positioning module is equipped with a geomagnetic vehicle detector in each parking space to determine whether the space is empty. Each parking space camera is equipped with an adjustable color indicator light, which controls the color of the indicator light on the parking space camera based on the judgment result of the geomagnetic vehicle detector and the parking space image. The user information recording module obtains vehicle license plates through parking space images, marks frequent users based on vehicle license plates and parking records, and establishes a database of frequent user habits based on vehicle license plates and garage shelf numbers. The parking space reservation module uses the indicator light color on the parking space camera and a database of frequent users' habits to reserve parking spaces for frequent users in the parking garage. Based on the parking space reservation results and the current time, it controls the lighting color of the indicator light on the parking space camera in the parking garage.

[0005] Preferably, in the parking space camera positioning module, it determines whether a parking space is vacant based on the parking space image, specifically as follows: Step 1: Establish an empty parking space image database and store the empty parking space images in the database; Step 2: Obtain parking space images and compare them with each image in the empty parking space image database. Determine if the parking space image is the same as the image in the empty parking space image database. If the parking space image is the same as the image in the empty parking space image database, mark it as an empty parking space. If the parking space image is different from the image in the empty parking space image database, mark it as a non-empty parking space.

[0006] Preferably, in the geomagnetic positioning module, the indicator light color on the parking space camera is controlled according to the judgment results of the geomagnetic vehicle detector and the parking space image. Specifically, the judgment results of the geomagnetic vehicle detector and the parking space image are obtained. If both the judgment results of the parking space image and the judgment results of the geomagnetic vehicle detector indicate that the parking space is empty, the indicator light on the parking space camera is turned on and remains solid green. If both the judgment results of the parking space image and the judgment results of the geomagnetic vehicle detector indicate that the parking space is not empty, the indicator light on the parking space camera is turned on and remains solid red. If the judgment results of the parking space image and the judgment results of the geomagnetic vehicle detector are inconsistent, the indicator light on the parking space camera is turned off, and the management personnel are alerted to the parking space recognition anomaly.

[0007] Preferably, in the user information recording module, frequent users are marked based on vehicle license plates and parking records, specifically as follows: Step 1: Obtain parking space image, identify vehicle license plate through parking space image, obtain the number of times the vehicle has entered this parking lot in the past 30 days up to the current date through vehicle license plate, mark it as monthly parking count, obtain the total parking time of the vehicle in this parking lot in the past 30 days up to the current date through vehicle license plate, mark it as total monthly parking time; Step 2: Set a preset threshold for the number of parking times, and determine whether the monthly number of parking times of the vehicle is less than the preset threshold. If the monthly number of parking times of the vehicle is less than the preset threshold, repeat Step 1. If the monthly number of parking times of the vehicle is greater than or equal to the preset threshold, proceed to Step 3. Step 3: Set a preset threshold for total monthly parking time. Determine if the vehicle's total monthly parking time is less than the preset threshold. If the vehicle's total monthly parking time is less than the preset threshold, repeat Step 1. If the vehicle's total monthly parking time is greater than or equal to the preset threshold, mark the vehicle as a frequent user.

[0008] Preferably, in the user information recording module, a database of frequent user habits is established based on the vehicle license plate and garage shelf number, specifically as follows: Step 1: Obtain the license plate of the vehicle of the frequent user. Obtain the total number of times the frequent user has parked in the garage rack in history through the license plate. Sort the total number of times the frequent user has parked in the garage rack in history in descending order. Capture the garage rack number with the most frequent parking and mark it as the frequently used garage rack. Step 2: Set a preset distance threshold. Draw a circle with the parking lot entrance as the center and the preset distance threshold as the radius to obtain a conspicuous range. Mark the parking racks within the conspicuous range as conspicuous parking racks. Determine whether the frequently used parking racks of frequent users are conspicuous parking racks. If the frequently used parking racks of frequent users are not conspicuous parking racks, mark the frequently used parking racks of frequent users as habitual parking racks. If the frequently used parking racks of frequent users are conspicuous parking racks, determine whether there are any non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking. If there are non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking, select the parking rack with the most parking times in non-conspicuous parking racks of frequent users as habitual parking racks. If there are no non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking, randomly select a parking rack from the non-conspicuous parking racks as habitual parking racks. Step 3: Obtain all historical parking time periods for frequent users, count the number of times each historical parking time period is used, and mark the historical parking time period with the most frequent times as the habitual parking time period. Step 4: Establish a database of frequent user habits, and bind and store the vehicle license plates, habitual parking time periods, and habitual garage shelves of frequent users in the database.

[0009] Preferably, in the parking space reservation module, the parking space is reserved for frequent users based on the color of the indicator lights on the parking space camera and a database of frequent user habits. Specifically: Step 1: Obtain the current indicator light colors on all parking space cameras. Count the number of red lights on the parking space cameras and mark them as the number of non-empty parking spaces. Count the number of green lights on the parking space cameras and mark them as the number of empty parking spaces. Determine if the number of empty parking spaces is less than half of the number of non-empty parking spaces. If the number of empty parking spaces is less than half of the number of non-empty parking spaces, mark the result as peak parking period. If the number of empty parking spaces is greater than or equal to half of the number of non-empty parking spaces, mark the result as off-peak parking period. Step 2: Obtain the current time and determine if the current time is between 11:00 and 20:00. If the current time is between 11:00 and 20:00, the result is marked as a peak time period. If the current time is not between 11:00 and 20:00, the result is marked as an off-peak time period. Step 3: Obtain the habitual parking time periods of frequent users through the frequent user habit database, and determine whether the frequent user's habitual parking time period is during off-peak hours. If the frequent user's habitual parking time period is during off-peak hours, reserve a parking space for the frequent user in the habitual parking garage. If the frequent user's habitual parking time period is during peak hours, determine whether the current time is during off-peak hours. If the current time is during off-peak hours, reserve a parking space for the frequent user in the habitual parking garage. If the current time is during peak hours, repeat Step 1.

[0010] Preferably, in the parking space reservation module, the indicator light color on the habitual parking space camera is controlled based on the habitual parking space reservation result and the current time. Specifically: Step 1: Obtain the parking space reservation result of the frequent user's habitual garage shelf. If the parking space reservation result is a reserved parking space, then obtain the frequent user's habitual garage shelf number through the frequent user habit database, and determine whether there is an empty parking space in the frequent user's habitual garage shelf. If there is an empty parking space in the frequent user's habitual garage shelf, then repeat Step 1. If there is an empty parking space in the frequent user's habitual garage shelf, then proceed to Step 2. Step 2: Mark the empty parking space as a reserved parking space, obtain the current time, and retrieve the habitual parking time period of the frequent user through the frequent user habit database. Determine whether the current time is within the habitual parking time period of the frequent user. If the current time is not within the habitual parking time period of the frequent user, control the indicator light of the empty parking space to turn on solid yellow. If the current time is within the habitual parking time period of the frequent user, control the indicator light of the empty parking space to turn on solid green.

[0011] (III) Beneficial Effects This invention provides a parking space reverse search management system based on an underground parking garage, which has the following advantages: (1) In this scheme, the vehicle license plate number is identified by the parking space image. Users who frequently park in this parking lot are marked as frequent users based on the historical parking records of the license plate number. The garage racks and time periods that frequent users habitually park in are recorded. This makes it easier to determine whether to reserve specific parking spaces for frequent users at specific times based on the frequent user habit database. This is beneficial to improving the parking experience of frequent users. Since frequent users park their cars in this parking lot multiple times, they are more familiar with this parking lot than new users. Therefore, the garage racks near the parking lot entrance are given priority to new users, which makes it easier for new users to park quickly and find their cars quickly. At the same time, it is also easier for frequent users to park and retrieve their cars in the garage racks they use often. This also makes it convenient for both new and frequent users to park and retrieve their cars. This improves the parking experience of users and helps to avoid parking lane congestion, which is beneficial to increasing the revenue of the parking lot.

[0012] (2) In this plan, the availability of empty parking spaces in the parking lot and whether the parking time of frequent users is during the off-peak period of the parking lot are used to make a comprehensive judgment on whether parking spaces need to be reserved for frequent users. This will help to further improve the parking experience of frequent users and make it easier for them to park and retrieve their cars in the parking garages they use. At the same time, it will also avoid the situation where reserved parking spaces are wasted because frequent users do not come during the peak parking period. The indicator light for empty parking spaces is green, the indicator light for non-empty parking spaces is red, and the indicator light for reserved parking spaces is yellow. This will help the management personnel to count the parking situation in the parking lot and further benefit the full utilization of parking space resources in the parking lot. Attached Figure Description

[0013] Figure 1 This is a flowchart of a parking space reverse search management system based on an underground parking garage according to the present invention. Figure 2 This is a schematic diagram of the module structure of a parking space reverse search management system based on an underground parking garage according to the present invention. Detailed Implementation

[0014] 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.

[0015] Please see Figures 1-2This invention provides a parking space reverse search management system based on an underground parking garage, comprising the following modules: The parking space camera positioning module is installed in each parking space. The parking space camera acquires images of the parking space and determines whether the parking space is empty based on the images. The geomagnetic positioning module is equipped with a geomagnetic vehicle detector in each parking space to determine whether the space is empty. Each parking space camera is equipped with an adjustable color indicator light, which controls the color of the indicator light on the parking space camera based on the judgment result of the geomagnetic vehicle detector and the parking space image. The user information recording module obtains vehicle license plates through parking space images, marks frequent users based on vehicle license plates and parking records, and establishes a database of frequent user habits based on vehicle license plates and garage shelf numbers. The parking space reservation module uses the indicator light color on the parking space camera and a database of frequent users' habits to reserve parking spaces for frequent users in the parking garage. Based on the parking space reservation results and the current time, it controls the lighting color of the indicator light on the parking space camera in the parking garage.

[0016] In this embodiment, the parking space camera positioning module identifies whether there is a car in the parking space, which makes it easier to determine whether the parking space is empty. It also makes it easier to identify the license plate through the parking space camera, which makes it easier to mark frequent users in the future. This solution uses a geomagnetic vehicle detector in the geomagnetic positioning module to identify whether there is a car in the parking space, thus facilitating further determination of whether the parking space is vacant. The judgment results from the parking space camera and the geomagnetic vehicle detector are used together to determine whether there is a car in the parking space. This helps to avoid the parking space camera being obstructed and affecting the judgment results, and also helps to avoid the geomagnetic vehicle detector misjudgment due to magnetic field errors. This improves the accuracy of the vacancy judgment results, which in turn helps to make full use of parking space resources and increase parking lot revenue. The final result of the dual judgment is fed back through the color of the indicator light, making vacancy spaces more obvious. This helps to reduce the difficulty of checking whether there are vacancy spaces at higher levels from the ground of the multi-level parking garage, and also makes it easier for managers to count the vacancy spaces in the parking lot. This solution uses parking space images to identify vehicle license plate numbers in the user information recording module. Based on the historical parking records of the license plate numbers, users who frequently park in this parking lot are marked as frequent users. The system also records the garage racks and time periods that frequent users habitually park in. This allows for subsequent determination of whether to reserve specific parking spaces for frequent users at specific times based on the frequent user habit database, thereby improving the parking experience for frequent users. Since frequent users park their cars in this parking lot multiple times, they are more familiar with the parking lot than new users. Therefore, garage racks closer to the parking lot entrance are prioritized for new users, making it easier for them to park and find their vehicles quickly. This also makes it easier for frequent users to park and retrieve their vehicles from their frequently used garage racks. This improves the parking experience for both new and frequent users and helps avoid parking lane congestion, thereby further increasing the parking lot's revenue. This solution uses the parking space reservation module to comprehensively determine whether parking spaces need to be reserved for frequent users based on the remaining availability of parking spaces in the parking lot and whether the parking times of frequent users are during off-peak hours. This helps to improve the parking experience for frequent users, making it easier for them to park and retrieve their vehicles from their usual parking spaces. It also avoids the waste of reserved parking spaces during peak hours when frequent users do not use them. The indicator lights are green for available parking spaces, red for non-available parking spaces, and yellow for reserved parking spaces, which makes it easier for managers to collect statistics on the parking situation in the parking lot, thus further benefiting the full utilization of parking space resources. It is worth mentioning that the value of the preset threshold in this scheme can be obtained through weight analysis, which will not be elaborated on here.

[0017] In the parking space camera positioning module, the system determines whether a parking space is vacant based on the parking space image. Specifically: Step 1: Establish an empty parking space image database and store the empty parking space images in the database; Step 2: Obtain parking space images and compare them with each image in the empty parking space image database. Determine if the parking space image is the same as the image in the empty parking space image database. If the parking space image is the same as the image in the empty parking space image database, mark it as an empty parking space. If the parking space image is different from the image in the empty parking space image database, mark it as a non-empty parking space.

[0018] In this embodiment, the actual image of the parking space is compared with the images of empty parking spaces in the database. If they match, the parking space is identified as empty; otherwise, it is identified as not empty. If the camera is obstructed or has dirt, it will affect the captured image and thus the identification result. The subsequent geomagnetic positioning module performs a double judgment, which helps to improve the accuracy of the identification result.

[0019] In the geomagnetic positioning module, the indicator light color on the parking space camera is controlled based on the judgment results of the geomagnetic vehicle detector and the parking space image. Specifically: the judgment result of the geomagnetic vehicle detector is obtained, and the judgment result of the parking space image is obtained. If both the judgment result of the parking space image and the judgment result of the geomagnetic vehicle detector indicate that the parking space is empty, the indicator light on the parking space camera is turned on and remains solid green. If both the judgment result of the parking space image and the judgment result of the geomagnetic vehicle detector indicate that the parking space is not empty, the indicator light on the parking space camera is turned on and remains solid red. If the judgment result of the parking space image and the judgment result of the geomagnetic vehicle detector are inconsistent, the indicator light on the parking space camera is turned off, and the management personnel are alerted that the parking space identification is abnormal.

[0020] In this embodiment, a geomagnetic vehicle detector identifies whether a car is in a parking space, thus facilitating further determination of whether the parking space is vacant. The judgment results from the parking space camera and the geomagnetic vehicle detector are used together to determine whether a car is in the parking space. This helps to avoid the parking space camera being obstructed, thus avoiding misjudgment caused by magnetic field errors in the geomagnetic vehicle detector. This improves the accuracy of the vacancy judgment, which in turn helps to make full use of parking space resources and increase parking lot revenue. The final result of the dual judgment is fed back through the color of the indicator light, making vacancy spaces more obvious. This reduces the difficulty of checking for vacancy spaces on the ground of the multi-level parking garage and makes it easier for managers to count the vacancy spaces in the parking lot.

[0021] In the user information recording module, frequent users are identified based on vehicle license plates and parking records, specifically as follows: Step 1: Obtain parking space image, identify vehicle license plate through parking space image, obtain the number of times the vehicle has entered this parking lot in the past 30 days up to the current date through vehicle license plate, mark it as monthly parking count, obtain the total parking time of the vehicle in this parking lot in the past 30 days up to the current date through vehicle license plate, mark it as total monthly parking time; Step 2: Set a preset threshold for the number of parking times, and determine whether the monthly number of parking times of the vehicle is less than the preset threshold. If the monthly number of parking times of the vehicle is less than the preset threshold, repeat Step 1. If the monthly number of parking times of the vehicle is greater than or equal to the preset threshold, proceed to Step 3. Step 3: Set a preset threshold for total monthly parking time. Determine if the vehicle's total monthly parking time is less than the preset threshold. If the vehicle's total monthly parking time is less than the preset threshold, repeat Step 1. If the vehicle's total monthly parking time is greater than or equal to the preset threshold, mark the vehicle as a frequent user.

[0022] In this embodiment, the number of times a user parks within 30 days and the total parking time within 30 days are determined by the license plate number, thereby determining whether the user is a frequent user. This facilitates the subsequent reservation of parking spaces for frequent users, which in turn improves the parking experience for frequent users and ultimately increases the revenue of the parking lot.

[0023] In the user information recording module, a database of frequent user habits is established based on vehicle license plate number and garage shelf number, specifically as follows: Step 1: Obtain the license plate of the vehicle of the frequent user. Obtain the total number of times the frequent user has parked in the garage rack in history through the license plate. Sort the total number of times the frequent user has parked in the garage rack in history in descending order. Capture the garage rack number with the most frequent parking and mark it as the frequently used garage rack. Step 2: Set a preset distance threshold. Draw a circle with the parking lot entrance as the center and the preset distance threshold as the radius to obtain a conspicuous range. Mark the parking racks within the conspicuous range as conspicuous parking racks. Determine whether the frequently used parking racks of frequent users are conspicuous parking racks. If the frequently used parking racks of frequent users are not conspicuous parking racks, mark the frequently used parking racks of frequent users as habitual parking racks. If the frequently used parking racks of frequent users are conspicuous parking racks, determine whether there are any non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking. If there are non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking, select the parking rack with the most parking times in non-conspicuous parking racks of frequent users as habitual parking racks. If there are no non-conspicuous parking racks among all the parking rack numbers of frequent users' historical parking, randomly select a parking rack from the non-conspicuous parking racks as habitual parking racks. Step 3: Obtain all historical parking time periods for frequent users, count the number of times each historical parking time period is used, and mark the historical parking time period with the most frequent times as the habitual parking time period. Step 4: Establish a database of frequent user habits, and bind and store the vehicle license plates, habitual parking time periods, and habitual garage shelves of frequent users in the database.

[0024] In this embodiment, since frequent users park their cars in this parking lot multiple times, they are more familiar with the parking lot than new users. Therefore, the garage racks near the parking lot entrance are given priority to new users, which makes it easier for them to park and find their vehicles quickly. At the same time, it also makes it easier for frequent users to park and retrieve their vehicles from their usual garage racks. This improves the parking experience for both new and frequent users and helps to avoid parking lane congestion, thereby further increasing the parking lot's revenue.

[0025] In the parking space reservation module, parking spaces are reserved for frequent users based on their habitual parking habits, using the indicator light colors on the parking space cameras and a database of frequent user habits. Specifically: Step 1: Obtain the current indicator light colors on all parking space cameras. Count the number of red lights on the parking space cameras and mark them as the number of non-empty parking spaces. Count the number of green lights on the parking space cameras and mark them as the number of empty parking spaces. Determine if the number of empty parking spaces is less than half of the number of non-empty parking spaces. If the number of empty parking spaces is less than half of the number of non-empty parking spaces, mark the result as peak parking period. If the number of empty parking spaces is greater than or equal to half of the number of non-empty parking spaces, mark the result as off-peak parking period. Step 2: Obtain the current time and determine if the current time is between 11:00 and 20:00. If the current time is between 11:00 and 20:00, the result is marked as a peak time period. If the current time is not between 11:00 and 20:00, the result is marked as an off-peak time period. Step 3: Obtain the habitual parking time periods of frequent users through the frequent user habit database, and determine whether the frequent user's habitual parking time period is during off-peak hours. If the frequent user's habitual parking time period is during off-peak hours, reserve a parking space for the frequent user in the habitual parking garage. If the frequent user's habitual parking time period is during peak hours, determine whether the current time is during off-peak hours. If the current time is during off-peak hours, reserve a parking space for the frequent user in the habitual parking garage. If the current time is during peak hours, repeat Step 1.

[0026] In this embodiment, the system comprehensively judges whether it is necessary to reserve parking spaces for frequent users based on the remaining availability of parking spaces in the parking lot and whether the parking time of frequent users is during the off-peak period of the parking lot. This helps to improve the parking experience of frequent users, making it easier for them to park and retrieve their cars in their usual parking spaces. It also avoids the situation where reserved parking spaces are wasted due to frequent users not coming during peak parking periods, thus benefiting the full utilization of parking space resources in the parking lot.

[0027] In the parking space reservation module, the indicator light color on the habitual parking space reservation camera is controlled based on the habitual parking space reservation result and the current time. Specifically: Step 1: Obtain the parking space reservation result of the frequent user's habitual garage shelf. If the parking space reservation result is a reserved parking space, then obtain the frequent user's habitual garage shelf number through the frequent user habit database, and determine whether there is an empty parking space in the frequent user's habitual garage shelf. If there is an empty parking space in the frequent user's habitual garage shelf, then repeat Step 1. If there is an empty parking space in the frequent user's habitual garage shelf, then proceed to Step 2. Step 2: Mark the empty parking space as a reserved parking space, obtain the current time, and retrieve the habitual parking time period of the frequent user through the frequent user habit database. Determine whether the current time is within the habitual parking time period of the frequent user. If the current time is not within the habitual parking time period of the frequent user, control the indicator light of the empty parking space to turn on solid yellow. If the current time is within the habitual parking time period of the frequent user, control the indicator light of the empty parking space to turn on solid green.

[0028] In this embodiment, the indicator light for an empty parking space is green, the indicator light for a non-empty parking space is red, and the indicator light for a reserved parking space is yellow. This facilitates the management personnel in tracking the parking situation in the parking lot, thereby further promoting the full utilization of parking space resources. When the reserved parking space time reaches the habitual parking period of frequent users, the indicator light changes from yellow to green, making it easier for frequent users to arrive at the parking lot during their habitual parking period and park their vehicles in their habitual parking racks. This also helps to avoid frequent users not parking in the parking lot during their habitual parking period, resulting in excessive reservation of empty parking spaces, thus further preventing the waste of empty parking spaces and facilitating the effective utilization of parking space resources.

[0029] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0030] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0031] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A parking space anti-searching management system based on a stereoscopic garage of an underground parking lot, characterized in that, The method comprises the following modules: A parking space camera positioning module, a parking space camera is installed on each parking space, a parking space image is obtained through the parking space camera, and it is determined whether the parking space is empty through the parking space image; A geomagnetic positioning module, a geomagnetic vehicle detector is installed on each parking space, it is determined whether the parking space is empty through the geomagnetic vehicle detector, an adjustable color indicator light is installed on each parking space camera, and the lighting color of the indicator light on the parking space camera is controlled according to the determination results of the geomagnetic vehicle detector and the parking space image; A user information recording module, a vehicle license plate is obtained through the parking space image, frequent users are marked according to the vehicle license plate and parking records, and a frequent user habit database is established according to the vehicle license plate and the garage rack number; A parking space reservation module, the habitual garage rack parking space reservation of frequent users is performed according to the lighting color of the indicator light on the parking space camera and the frequent user habit database, and the lighting color of the indicator light on the habitual garage rack parking space camera is controlled according to the habitual garage rack parking space reservation result and the current time.

2. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 1, characterized in that: In the parking space camera positioning module, it is determined whether the parking space is empty through the parking space image, and the specific steps are as follows: Step 1: An empty parking space image database is established, and the empty parking space image is stored in the empty parking space image database; Step 2: A parking space image is obtained, the parking space image is compared with each image in the empty parking space image database, it is determined whether the parking space image is the same as the image in the empty parking space image database, if the parking space image is the same as the image in the empty parking space image database, the parking space is marked as empty, and if the parking space image is different from the image in the empty parking space image database, the parking space is marked as non-empty.

3. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 1, characterized in that: In the geomagnetic positioning module, the lighting color of the indicator light on the parking space camera is controlled according to the determination results of the geomagnetic vehicle detector and the parking space image, and the specific steps are as follows: the determination result of the geomagnetic vehicle detector is obtained, the determination result of the parking space image is obtained, if the determination result of the parking space image and the determination result of the geomagnetic vehicle detector are both empty parking spaces, the indicator light on the parking space camera is turned on and green constant light is controlled, if the determination result of the parking space image and the determination result of the geomagnetic vehicle detector are both non-empty parking spaces, the indicator light on the parking space camera is turned on and red constant light is controlled, and if the determination result of the parking space image and the determination result of the geomagnetic vehicle detector are inconsistent, the indicator light on the parking space camera is turned off, and the management personnel is reminded that the parking space recognition is abnormal.

4. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 1, characterized in that: In the user information recording module, frequent users are marked according to the vehicle license plate and parking records, and the specific steps are as follows: Step 1: A parking space image is obtained, the vehicle license plate is recognized through the parking space image, the number of times that the vehicle enters the parking lot within 30 days as of the current date is obtained through the vehicle license plate, and is marked as the monthly parking frequency, the total duration that the vehicle is parked in the parking lot within 30 days as of the current date is obtained through the vehicle license plate, and is marked as the monthly parking total duration; Step 2: A parking frequency preset threshold is set, it is determined whether the monthly parking frequency of the vehicle is less than the parking frequency preset threshold, if the monthly parking frequency of the vehicle is less than the parking frequency preset threshold, step 1 is repeatedly executed, and if the monthly parking frequency of the vehicle is greater than or equal to the parking frequency preset threshold, step 3 is executed; Step three: set the monthly parking total time length preset threshold, judge whether the monthly parking total time length of the vehicle is less than the monthly parking total time length preset threshold, if the monthly parking total time length of the vehicle is less than the monthly parking total time length preset threshold, repeat step one, if the monthly parking total time length of the vehicle is greater than or equal to the monthly parking total time length preset threshold, mark the vehicle as a frequent user.

5. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 1, characterized in that: In the user information recording module, a frequent user habit database is established according to the vehicle license plate and the garage rack number, specifically: Step one: obtain the vehicle license plate of the frequent user, obtain the total number of garage rack numbers of the frequent user's historical parking through the license plate of the frequent user, arrange the total number of garage rack numbers of the frequent user's historical parking in descending order, capture the garage rack number with the most parking times of the frequent user, and mark it as the frequently used garage rack; Step two: set a distance preset threshold, draw a circle with the parking lot entrance as the center and the distance preset threshold as the radius to obtain a prominent range, mark the garage racks in the prominent range as prominent garage racks, judge whether the frequently used garage rack of the frequent user is a prominent garage rack, if the frequently used garage rack of the frequent user is not a prominent garage rack, mark the frequently used garage rack of the frequent user as a habitual garage rack, if the frequently used garage rack of the frequent user is a prominent garage rack, judge whether there is a non-prominent garage rack in the total garage rack number of the frequent user's historical parking, if there is a non-prominent garage rack in the total garage rack number of the frequent user's historical parking, take the garage rack with the most parking times of the frequent user's historical parking as the habitual garage rack, if there is no non-prominent garage rack in the total garage rack number of the frequent user's historical parking, randomly select a garage rack from the non-prominent garage rack as the habitual garage rack; Step three: obtain the total historical parking time period of the frequent user, count the number of the frequent user's historical parking time period, and mark the time period with the most number as the habitual parking time period; Step four: establish a frequent user habit database, bind the vehicle license plate, habitual parking time period and habitual garage rack of the frequent user and store them in the frequent user habit database.

6. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 5, characterized in that: In the parking space reservation module, the habitual garage rack of the frequent user is reserved through the light color of the indicator light on the parking space camera, specifically: Step one: obtain the light color of the indicator light on the current all parking space cameras, count the number of red lights on the indicator light of the parking space camera, mark it as the number of non-empty parking spaces, count the number of green lights on the indicator light of the parking space camera, mark it as the number of empty parking spaces, judge whether the number of empty parking spaces is less than half of the number of non-empty parking spaces, if the number of empty parking spaces is less than half of the number of non-empty parking spaces, the result is marked as parking space peak period, if the number of empty parking spaces is greater than or equal to half of the number of non-empty parking spaces, the result is marked as parking space low peak period; Step two: obtain the current time, judge whether the current time is between 11:00 to 20:00, if the current time is between 11:00 to 20:00, the result of the judgment is marked as time peak period, if the current time is not between 11:00 to 20:00, the result of the judgment is marked as time low peak period; Step three: obtain the habitual parking time period of frequent users through the frequent user habit database, judge whether the habitual parking time period of frequent users is in the time low peak period, if the habitual parking time period of frequent users is in the time low peak period, the habitual garage rack parking reservation of frequent users is carried out, if the habitual parking time period of frequent users is in the time peak period, judge whether the current time is in the parking low peak period, if the current time is in the parking low peak period, the habitual garage rack parking reservation of frequent users is carried out, if the current time is in the parking peak period, repeat step one.

7. The parking space anti-searching management system based on the stereoscopic garage of underground parking lot according to claim 1, characterized in that: In the parking reservation module, the lighting color of the indicating light of the habitual garage rack parking camera is controlled according to the habitual garage rack parking reservation result and the current time, specifically: Step one: obtain the habitual garage rack parking reservation result of frequent users, if the habitual garage rack parking reservation result is parking reservation, obtain the habitual garage rack number of frequent users through the frequent user habit database, judge whether there is an empty parking space in the habitual garage rack of frequent users, if there is an empty parking space in the habitual garage rack of frequent users, repeat step one, if there is an empty parking space in the habitual garage rack of frequent users, execute step two; Step two: mark the empty parking space as reserved parking space, obtain the current time, obtain the habitual parking time period of the frequent user through the frequent user habit database, judge whether the current time is in the habitual parking time period of the frequent user, if the current time is not in the habitual parking time period of the frequent user, control the indicating light of the empty parking space to turn on yellow constant, if the current time is in the habitual parking time period of the frequent user, control the indicating light of the empty parking space to turn on green constant.

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