Intelligent parking intelligent prompt management system based on artificial intelligence

Abstract

The invention discloses an intelligent parking intelligent prompt management system based on artificial intelligence, and belongs to the technical field of intelligent parking management. The real-time change condition of the idle parking space and the moving condition of the to-be-parked vehicle are monitored and analyzed in real time, and an alarm is given in advance, so that a vehicle owner finding the parking space can make prejudgment and planning in advance according to the real-time change condition of available parking spaces of different parking places; the parking space searching effect of the to-be-parked vehicle can be improved by preventing the vehicle owner from running empty; the historical parking data of the free parking spaces of different parking places are integrated, calculated and analyzed to analyze and sort the parking difficulty of the different free parking spaces, so that the pushing prompt of the parking difficulty can be carried out before the to-be-parked vehicle is parked; the method and the device are used for solving the technical problems that only single display prompt of the total number of idle parking spaces is carried out, and the use condition and release condition of the total number of idle parking spaces cannot be dynamically prompted according to the real-time moving condition of the vehicle in the parking spaces in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of smart parking management, and in particular to a smart parking intelligent prompt management system based on artificial intelligence. Background Art

[0002] Smart parking refers to the use of advanced technologies and systems to provide more convenient and efficient parking services through real-time data collection, analysis and processing; the application of smart parking systems can improve the utilization rate of parking resources, reduce the time of looking for parking spaces, alleviate urban traffic congestion, and also improve the efficiency of parking lot management and service quality.

[0003] In real time, most of the existing smart parking solutions still display changes in the total number of available parking spaces through online and offline methods. However, they cannot dynamically prompt the usage and release of the total number of free parking spaces based on the real-time movement of vehicles in different parking spaces, which makes the real-time prompt of parking spaces lag and leads to poor parking guidance prompt effect. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent parking prompt management system based on artificial intelligence, which is used to solve the technical problem that the existing solution only displays a single total number of vacant parking spaces, and cannot dynamically prompt the usage and release status of the total number of vacant parking spaces according to the real-time movement of vehicles in the parking spaces, resulting in poor parking guidance prompt effect.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An artificial intelligence-based smart parking intelligent prompt management system, comprising a smart parking management platform and a parking usage status monitoring management module connected to the smart parking management platform; The parking usage status monitoring and management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area and implement data analysis to obtain the real-time usage status of parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations; including: Obtain all parking locations in the target area and the total number of parking spaces at different parking locations, number and mark different parking locations according to the specific roads where the parking locations are located and combine them to obtain parking location number groups, and number and mark all parking spaces at different parking locations according to a preset numbering sequence and combine them to obtain parking space number groups; Collect and analyze the real-time parking process of all vehicles parked at different parking locations, and dynamically update and prompt the total number of available parking spaces at the parking location in the smart parking management platform in real time according to the analysis results; including but not limited to flashing the total number of available parking spaces at the parking location in a first color, stopping the flashing of the total number of available parking spaces at the parking location and maintaining the number unchanged, and decreasing the total number of available parking spaces at the parking location by one and stopping the flashing of the first color; Also, when a parking vehicle enters the monitoring area of ​​the parking location, the parking difficulty of all parking spaces is obtained and pushed and prompted in real time.

[0006] Preferably, information collection and analysis is performed on the real-time parking process of all parked vehicles at different parking locations, including: when a vehicle enters a monitoring area in a parking location and prepares to park, the parking location number and the vehicle license plate corresponding to the entered parking location are obtained and a parking instruction is generated, and the total number of available parking spaces at the parking location in the smart parking management platform is flashed in a first color in real time according to the parking instruction; When a vehicle fails to stop steadily in a parking spot and leaves the monitoring area of ​​the parking spot, a parking failure instruction is generated, and according to the parking failure instruction, the total number of available parking spaces in the parking spot in the smart parking management platform stops flashing in real time and maintains the number unchanged.

[0007] Preferably, a parking success instruction is generated when the vehicle stops steadily in the parking location and the driver gets off the vehicle, and the parking space number of the vehicle in the parking location and the parking time when the vehicle completes parking are obtained according to the parking success instruction. According to the parking success instruction, the total number of available parking spaces in the parking location in the smart parking management platform is reduced by one in real time and the flashing prompt of the first color is stopped.

[0008] Preferably, the parking difficulty of all parking spaces in different parking locations is monitored and analyzed, including: obtaining the time when the parking vehicle first starts to reverse in the monitoring area of ​​the parking location through a camera device and marking it as the reversing start time, and obtaining the time when the parking vehicle stops and turns off in the parking space and marking it as the reversing end data, and obtaining the reversing duration according to the reversing end time and the reversing start time; When analyzing the reversing state of a vehicle according to the reversing duration, the average of the historical reversing durations corresponding to the parking spaces of the parked vehicles is obtained and set as the reversing duration threshold, the reversing duration is compared and classified with the reversing duration threshold, and local parking analysis data corresponding to the parking spaces consisting of a normal reversing state label, a slightly abnormal reversing state label, or a severely abnormal reversing state label are obtained.

[0009] Preferably, if the reversing duration is not greater than the reversing duration threshold, a reversing state normal label is generated; If the duration of reversing is greater than the reversing duration threshold and not greater than Y% of the reversing duration threshold, where Y is a real number greater than 100, a slight abnormality label of the reversing state is generated; If the duration of reversing is greater than Y% of the reversing duration threshold, a severe abnormal reversing state label is generated.

[0010] Preferably, when analyzing the parking difficulty of all parking spaces in the parking location, the total number of historical parking times Zi of all parking spaces in the parking location is counted, where i=1, 2, 3, ..., n; n is a positive integer representing the total number of parking spaces; Also, obtain and count all local parking analysis data of different parking spaces and traverse and count the total number of normal labels of reversing state BZi, the total number of mildly abnormal labels of reversing state BQi and the total number of severely abnormal labels of reversing state BCi; extract the values ​​of each marked data and calculate the parking difficulty coefficient β corresponding to all parking spaces in the parking location through the formula β=(BZi-α1×BQi-α2×BCi) / Zi; where α1 and α2 are different parking influencing factors, 0<α1<α2<1, α1+α2=1.

[0011] Preferably, all parking spaces in the parking location are arranged in descending order according to the numerical values ​​of the parking difficulty coefficients, and parking spaces corresponding to parking difficulty coefficients greater than a parking difficulty threshold are marked as recommended parking spaces, and when a vehicle enters the monitoring area of ​​the parking location, the available parking spaces associated with the parking difficulty coefficients in descending order are dynamically recommended according to parking difficulty to the owner's mobile terminal through the smart parking management platform.

[0012] Preferably, the parking release status prompt management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area after they are used, and implement data analysis to obtain the real-time usage status of the parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations.

[0013] Preferably, the vehicle retrieval status of all parked parking spaces in all parking locations in the target area is monitored, and when a parked parking space detects that a parked vehicle is started, a vehicle retrieval start instruction is generated, and the total number of available parking spaces in the parking location in the smart parking management platform is flashed in a second color in real time according to the vehicle retrieval start instruction.

[0014] Preferably, when the parked vehicle completely leaves the parking space, a pick-up and departure instruction is generated, and according to the pick-up and departure instruction, the total number of available parking spaces at the parking location in the smart parking management platform is increased by one in real time and the flashing prompt of the second color is stopped.

[0015] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention monitors and analyzes the real-time changes of vacant parking spaces and the movement of vehicles to be parked in real time and issues warnings in advance, so that car owners looking for parking spaces can make predictions and plans in advance according to the real-time changes of available parking spaces at different parking locations, thereby avoiding car owners running into empty parking spaces and improving the parking space search effect for vehicles to be parked, and improving the prompt effect of real-time occupation and real-time release of parking spaces.

[0016] The present invention integrates and calculates the historical parking data of free parking spaces at different parking locations to obtain the corresponding parking difficulty coefficients, and analyzes and sorts the parking difficulties of different free parking spaces according to the parking difficulty coefficients, so that the parking difficulty can be pushed to the vehicles to be parked before they park, which can effectively improve the parking guidance effect for novice drivers in different free parking spaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 This is a module block diagram of an artificial intelligence-based smart parking intelligent prompt management system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, the present invention is an intelligent parking intelligent prompt management system based on artificial intelligence, including an intelligent parking management platform, and a parking usage status monitoring management module connected to the intelligent parking management platform; The parking usage status monitoring and management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area and implement data analysis to obtain the real-time usage status of parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations; including: Obtain all parking locations in the target area and the total number of parking spaces at different parking locations, number and mark different parking locations according to the specific roads where the parking locations are located and combine them to obtain parking location number groups, and number and mark all parking spaces at different parking locations according to a preset numbering sequence and combine them to obtain parking space number groups; It should be noted that, in the embodiment of the present invention, the target area may be an urban area, and the parking places may be roadside parking lots on different roads. The numbering rules of the parking places may be customized according to the specific roads where the parking places are located and the preset numbering rules. Similarly, different parking spaces in the parking places may be customized according to the preset numbering rules. The purpose of numbering different parking places and parking spaces is to enable efficient and rapid search, positioning and notification of parking places and parking spaces in the future. Also, collect and analyze the real-time parking process of all vehicles parked at different parking locations, and dynamically update and prompt the total number of available parking spaces at the parking location in the smart parking management platform in real time in different ways based on the analysis results; When a vehicle enters the monitoring area in the parking place and prepares to park, the monitoring area is expanded and set according to the specific position of the parking space divided in the parking place. For example, the outside of the parking space is expanded according to the preset expansion width to obtain the expansion width. The expansion width and the length of all parking spaces constitute the monitoring area of ​​the parking place. According to the monitoring area, more accurate monitoring and statistics can be implemented for different parking behaviors of vehicles, and the parking place number and the license plate of the vehicle corresponding to the entered parking place are obtained and a parking instruction is generated. The recognition of the vehicle license plate can be achieved based on the existing roadside camera device and the existing recognition technology. The specific steps are not repeated here. According to the parking instruction, the total number of available parking spaces in the parking place in the smart parking management platform is flashed in the first color in real time; The first color may be red, and the total number of available parking spaces may be flashed in red, indicating that a vehicle is currently parked at the corresponding parking location and an empty parking space will be used, so that the parking spaces in the parking location may generate a changing reminder in real time, so that other car owners may make predictions and plans in advance to avoid empty parking spaces. For example, when the total number of available parking spaces is 1 and the flashing reminder is red, nearby car owners may give up looking for parking spaces at the parking location. In addition, the flashing prompt of the first color here can be associated with the existing third-party parking space-related software through the smart parking management platform and push prompts, such as displaying the real-time changes of available parking spaces in different location areas through navigation map software; When a vehicle fails to stop at a parking spot and leaves the monitoring area of ​​the parking spot, a parking failure instruction is generated, and according to the parking failure instruction, the total number of available parking spaces at the parking spot in the smart parking management platform stops flashing and maintains the number unchanged in real time; When the vehicle stops steadily in the parking place and the driver gets off, a parking success instruction is generated, and the parking space number of the vehicle in the parking place and the parking time when the vehicle completes parking are obtained according to the parking success instruction. According to the parking success instruction, the total number of available parking spaces in the parking place in the smart parking management platform is reduced by one in real time and the flashing prompt of the first color is stopped; The display prompts of available parking spaces at different parking locations in the prior art solutions have certain defects. They only display and prompt the changes in the total number of available parking spaces. For example, the owner of a car to be parked finds that the third-party software prompts that there is only one vacant parking space left at the nearest parking location. When the owner navigates to the destination, he finds that a vehicle has already parked in the vacant parking space during the navigation driving process, causing the owner of the car to be parked to make a wasted trip and can only continue to look for other vacant parking spaces. In the embodiments of the present invention, by real-time monitoring and analysis of the real-time changes in vacant parking spaces and the movement of vehicles to be parked, and early warning prompts, the owner of the car looking for a parking space can make predictions and plans in advance according to the real-time changes in available parking spaces at different parking locations, thereby avoiding the owner of the car running into empty parking spaces and improving the effect of finding parking spaces for vehicles to be parked. Also, when a parking vehicle enters the monitoring area of ​​the parking location, the parking difficulty of all parking spaces is obtained and real-time push notifications and prompts are given; including: The time when the parked vehicle first starts to reverse in the monitoring area of ​​the parking place is obtained by a camera device and marked as the reversing start time. The camera device can be an existing road monitoring device. The reversing monitoring and identification of the parked vehicle is an existing vehicle movement identification technology. The specific steps are not repeated here. The time when the parked vehicle stops and turns off the engine in the parking space is obtained and marked as the reversing end data. The monitoring of the parking and turning off the engine in the parking space can be implemented based on the existing monitoring sensor. The monitoring sensor can be a loudness sensor. The reversing duration is obtained according to the reversing end time and the reversing start time. The units of the reversing end time and the reversing start time are both accurate to seconds. When analyzing the reversing state of the vehicle when it is parked according to the reversing duration, the average of the historical reversing duration corresponding to the parking space of the parked vehicle is obtained and set as the reversing duration threshold, and the reversing duration is compared and classified with the reversing duration threshold; If the duration of reversing is not greater than the reversing duration threshold, a reversing state normal label is generated; If the duration of reversing is greater than the reversing duration threshold and not greater than Y% of the reversing duration threshold, where Y is a real number greater than 100, a slight abnormality label of the reversing state is generated; If the duration of reversing is greater than Y% of the reversing duration threshold, a severe abnormal reversing status label is generated; The normal reversing state label, the slightly abnormal reversing state label or the severely abnormal reversing state label constitute the local parking analysis data corresponding to the parking space; When analyzing the parking difficulty of all parking spaces in the parking location, the total number of historical parking times of all parking spaces in the parking location is counted, Zi, where i=1, 2, 3, ..., n; n is a positive integer representing the total number of parking spaces; And, obtain and count all local parking analysis data of different parking spaces and traverse and count the total number of normal labels of reversing state BZi, the total number of mild abnormal labels of reversing state BQi and the total number of severe abnormal labels of reversing state BCi; extract the values ​​of each marked data and calculate the parking difficulty coefficient β corresponding to all parking spaces in the parking place through the formula β=(BZi-α1×BQi-α2×BCi) / Zi; where α1 and α2 are different parking influencing factors, 0<α1<α2<1, α1+α2=1; All parking spaces in the parking location are arranged in descending order according to the parking difficulty coefficient values, and parking spaces corresponding to parking difficulty coefficients greater than a parking difficulty threshold are marked as recommended parking spaces. The parking difficulty threshold may be the median of all parking difficulty coefficients, and when a vehicle enters a monitoring area of ​​the parking location, available parking spaces associated with the parking difficulty coefficients arranged in descending order are dynamically recommended to the owner's mobile terminal through the smart parking management platform. In an embodiment of the present invention, historical parking data of vacant parking spaces at different parking locations are integrated and calculated to obtain corresponding parking difficulty coefficients, and the parking difficulties of different vacant parking spaces are analyzed and ranked according to the parking difficulty coefficients, so that a push prompt of the parking difficulty can be given before the vehicle to be parked is parked, which can effectively improve the parking guidance effect for novice drivers in different vacant parking spaces.

[0021] The parking release status prompt management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area, and implement data analysis to obtain the real-time usage status of the parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations; including: The vehicle pickup conditions of all the parking spaces in all the parking places in the target area are monitored. When the parking space detects that the parked vehicle is started, a vehicle pickup start instruction is generated. This can also be achieved based on the monitoring of the monitoring sensor, and the total number of available parking spaces in the parking place in the smart parking management platform is flashed in a second color in real time according to the vehicle pickup start instruction; The second color may be green, and the total number of available parking spaces may be flashed green to indicate that there are currently parked vehicles ready to leave the corresponding parking location, and that vacant parking spaces are about to be released, so that drivers in the surrounding area who are looking for parking spaces can prepare and plan to park at the parking location; When the parked vehicle completely leaves the parking space, a pick-up and departure instruction is generated, and the total number of available parking spaces at the parking location in the smart parking management platform is increased by one in real time according to the pick-up and departure instruction, and the flashing prompt of the second color is stopped.

[0022] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0023] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0024] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0025] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0026] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, ordinary operation and maintenance personnel in the field should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent parking prompt management system based on artificial intelligence, characterized in that: It includes a smart parking management platform and a parking usage status monitoring and management module connected to the smart parking management platform; The parking usage status monitoring and management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area and implement data analysis to obtain the real-time usage status of parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations; including: Obtain all parking locations in the target area and the total number of parking spaces at different parking locations, number and mark different parking locations according to the specific roads where the parking locations are located and combine them to obtain parking location number groups, and number and mark all parking spaces at different parking locations according to a preset numbering sequence and combine them to obtain parking space number groups; Collect and analyze the real-time parking process of all vehicles parked at different parking locations, and dynamically update and prompt the total number of available parking spaces at the parking location in the smart parking management platform in real time according to the analysis results; including but not limited to flashing the total number of available parking spaces at the parking location in a first color, stopping the flashing of the total number of available parking spaces at the parking location and maintaining the number unchanged, and decreasing the total number of available parking spaces at the parking location by one and stopping the flashing of the first color; Also, when a parking vehicle enters the monitoring area of ​​the parking location, the parking difficulty of all parking spaces is obtained and pushed and prompted in real time.

2. According to claim 1, the intelligent parking prompt management system based on artificial intelligence is characterized in that: Collect and analyze the real-time parking process of all vehicles parked at different parking locations, including: when a vehicle enters the monitoring area of ​​a parking location and prepares to park, obtain the parking location number and the license plate of the vehicle corresponding to the entered parking location and generate a waiting parking instruction, and flash the total number of available parking spaces at the parking location in the smart parking management platform in a first color in real time according to the waiting parking instruction; When a vehicle fails to stop steadily in a parking spot and leaves the monitoring area of ​​the parking spot, a parking failure instruction is generated, and according to the parking failure instruction, the total number of available parking spaces in the parking spot in the smart parking management platform stops flashing in real time and maintains the number unchanged.

3. According to claim 2, the intelligent parking prompt management system based on artificial intelligence is characterized in that: When the vehicle stops steadily in the parking lot and the driver gets off, a parking success instruction is generated, and the parking space number of the vehicle in the parking lot and the parking time when the vehicle completes parking are obtained according to the parking success instruction. According to the parking success instruction, the total number of available parking spaces in the parking lot in the smart parking management platform is reduced by one in real time and the flashing prompt of the first color is stopped.

4. The intelligent parking prompt management system based on artificial intelligence according to claim 1 is characterized in that: Monitoring and analyzing the parking difficulty of all parking spaces in different parking locations, including: obtaining the time when the parking vehicle first starts to reverse in the monitoring area of ​​the parking location through a camera device and marking it as the reversing start time, and obtaining the time when the parking vehicle stops and turns off in the parking space and marking it as the reversing end data, and obtaining the reversing duration according to the reversing end time and the reversing start time; When analyzing the reversing state of a vehicle according to the reversing duration, the average of the historical reversing durations corresponding to the parking spaces of the parked vehicles is obtained and set as the reversing duration threshold, the reversing duration is compared and classified with the reversing duration threshold, and local parking analysis data corresponding to the parking spaces consisting of a normal reversing state label, a slightly abnormal reversing state label, or a severely abnormal reversing state label are obtained.

5. According to claim 4, the intelligent parking prompt management system based on artificial intelligence is characterized in that: If the duration of reversing is not greater than the reversing duration threshold, a reversing state normal label is generated; If the duration of reversing is greater than the reversing duration threshold and not greater than Y% of the reversing duration threshold, where Y is a real number greater than 100, a reversing state slight abnormality label is generated; If the duration of reversing is greater than Y% of the reversing duration threshold, a severe abnormal reversing state label is generated.

6. The intelligent parking prompt management system based on artificial intelligence according to claim 4 is characterized in that: When analyzing the parking difficulty of all parking spaces in the parking location, the total number of historical parking times of all parking spaces in the parking location is counted, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of parking spaces; Also, obtain and count all local parking analysis data of different parking spaces and traverse and count the total number of normal labels of reversing state BZi, the total number of mildly abnormal labels of reversing state BQi and the total number of severely abnormal labels of reversing state BCi; extract the values ​​of each marked data and calculate the parking difficulty coefficient β corresponding to all parking spaces in the parking location through the formula β=(BZi-α1×BQi-α2×BCi) / Zi; where α1 and α2 are different parking influencing factors, 0<α1<α2<1, α1+α2=1.

7. The intelligent parking prompt management system based on artificial intelligence according to claim 6 is characterized in that: All parking spaces in the parking location are arranged in descending order according to the value of the parking difficulty coefficient, and the parking spaces corresponding to the parking difficulty coefficients greater than the parking difficulty threshold are marked as recommended parking spaces. When a vehicle enters the monitoring area of ​​the parking location, the available parking spaces associated with the parking difficulty coefficients in descending order are dynamically recommended according to parking difficulty to the owner's mobile terminal through the smart parking management platform.

8. The intelligent parking prompt management system based on artificial intelligence according to claim 7 is characterized in that: The parking release status prompt management module is used to collect data on the real-time parking process of different parking spaces in all parking locations in the target area and implement data analysis to obtain the real-time usage status of the parking spaces and upload it to the smart parking management platform in real time to dynamically update the total number of available parking spaces in the corresponding parking locations.

9. The intelligent parking prompt management system based on artificial intelligence according to claim 8 is characterized in that: The vehicle pick-up situation of all the parked parking spaces in all the parking locations in the target area is monitored. When a parked vehicle is detected to be started in a parking space, a pick-up start instruction is generated, and the total number of available parking spaces in the parking location in the smart parking management platform is flashed in a second color in real time according to the pick-up start instruction.

10. The intelligent parking prompt management system based on artificial intelligence according to claim 9 is characterized in that: When the parked vehicle completely leaves the parking space, a pick-up and departure instruction is generated, and the total number of available parking spaces at the parking location in the smart parking management platform is increased by one in real time according to the pick-up and departure instruction, and the flashing prompt of the second color is stopped.

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