Parking lot payment method based on parking space sharing and artificial intelligence parking lot management system

Abstract

The invention, which relates to the technical field of parking lot management, discloses a parking lot payment method based on parking space sharing and an artificial intelligence parking lot management system comprising a parking space sharing module, a parking space real-time monitoring module, a dynamic scheduling module, a charging module, an artificial intelligence module and a user interface module. And the parking space sharing module is used for receiving and managing parking space sharing information from a parking space provider, and generating a parking space sharing list according to the parking space position, the use time and the sharing willingness. By integrating and intelligently managing the parking space resources of the parking lot, the parking space sharing and real-time monitoring are realized, the parking space distribution is optimized, and the parking space utilization rate and the operation efficiency are improved. The system provides personalized services for the vehicle owner through priority management and diversified payment functions, and improves the user experience. Through data analysis and prediction, the system can provide parking space recommendation, reduce the searching time, further improve the parking space turnover rate and the parking lot income, and overall improve the intelligent management level of the parking lot.

Description

Technical Field

[0001] The present invention relates to the technical field of parking lot management, and in particular to a parking lot payment method based on parking space sharing and an artificial intelligence parking lot management system. Background Art

[0002] In recent years, with the acceleration of urbanization and the rapid growth of motor vehicle ownership, the problem of parking difficulties has become increasingly prominent. The traditional parking lot management method mainly relies on manual management and fixed charging standards, which not only leads to the waste of parking space resources, but also increases the operating costs of parking lots. At the same time, car owners often face problems such as information asymmetry, difficulty in finding parking spaces, and low parking space utilization when looking for parking spaces, which affects the parking experience and traffic efficiency. In order to improve the efficiency of parking space use and reduce the parking costs of car owners, the concept of shared parking has gradually been introduced and has received widespread attention and application. Shared parking effectively alleviates the problem of parking difficulties by opening private or idle parking resources to the public.

[0003] However, the existing shared parking system still has deficiencies in management, such as the lack of real-time parking space monitoring, dynamic parking space scheduling and accurate billing capabilities. The development of artificial intelligence technology provides a new solution for parking lot management. By introducing artificial intelligence technology, intelligent management of parking lots can be achieved, such as automatic allocation and optimization of parking spaces, real-time monitoring of parking space status and intelligent fee management. This parking payment method based on parking space sharing and artificial intelligence parking management system not only improves the efficiency of parking space use, optimizes the management process of parking lots, but also provides car owners with more convenient and efficient parking services. The system can accurately calculate parking fees based on the actual parking time, parking space usage and dynamic pricing strategies of car owners, and realize the reasonable allocation and maximum utilization of resources. The application of such intelligent parking management systems is expected to promote the modernization of urban traffic management and promote the construction and development of urban intelligent transportation systems.

[0004] The prior art has the following deficiencies:

[0005] The current parking lot management system has many deficiencies in the sharing and management of parking space resources, especially in the real-time monitoring, dynamic scheduling and charging management of parking spaces, which is difficult to achieve intelligence and precision. This leads to low utilization of parking spaces in parking lots, and car owners need to spend a lot of time looking for parking spaces, which increases traffic congestion and parking costs. The traditional fixed charging model cannot effectively reflect the actual use of parking spaces, which is not conducive to the optimization of parking lot revenue and cannot improve the parking experience of car owners. Therefore, how to design an intelligent parking lot payment method and management system based on parking space sharing, which can realize dynamic scheduling, real-time monitoring and accurate billing of parking spaces, is a technical problem that needs to be solved at present.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The purpose of the present invention is to provide a parking payment method based on parking space sharing and an artificial intelligence parking management system. By integrating and intelligently managing the parking space resources of the parking lot, the sharing and real-time monitoring of parking spaces are realized, and the utilization rate of parking spaces and the operational efficiency of the parking lot are improved. The system can intelligently dispatch vehicles and optimize parking space allocation according to the actual occupancy of parking spaces and traffic flow trends. Through priority management and diversified payment functions, the system can provide car owners with personalized and convenient parking services, and improve user experience and satisfaction. In addition, by analyzing historical data and external factors, the system can predict the trend of traffic flow changes and provide personalized parking space recommendations, reducing the time car owners spend looking for parking spaces, while improving parking space turnover and parking lot revenue. Overall, the present invention makes parking lot management more intelligent and efficient to solve the problems in the above-mentioned background technology.

[0008] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a parking lot payment method based on parking space sharing and an artificial intelligence parking lot management system, comprising a parking space sharing module, a parking space real-time monitoring module, a dynamic scheduling module, a billing module, an artificial intelligence module and a user interface module;

[0009] The parking space sharing module is used to receive and manage parking space sharing information from parking space providers, and generate a parking space sharing list based on parking space location, usage time and sharing willingness;

[0010] The parking space real-time monitoring module obtains the occupancy status and vehicle information of each parking space in real time through cameras, sensors or other detection equipment installed in the parking lot, and uploads the status and information to the cloud server for data processing;

[0011] The dynamic scheduling module intelligently schedules vehicles to enter vacant parking spaces based on the parking space occupancy status and vehicle information provided by the parking space real-time monitoring module and the parking space sharing list provided by the parking space sharing module, thereby optimizing the parking space utilization rate.

[0012] The billing module calculates the parking fee based on the actual parking time of the vehicle, the usage status of the parking space and the dynamic pricing strategy, and sends the fee information to the owner's mobile device for notification and payment;

[0013] An artificial intelligence module, integrated in the parking space real-time monitoring module, dynamic scheduling module and billing module, analyzes and predicts historical parking data through a machine learning algorithm to optimize parking space allocation, improve parking efficiency, and dynamically adjust parking rates;

[0014] The user interface module provides an interface for car owners and parking space providers to interact with the system. Car owners can query the real-time status of parking spaces, reserve parking spaces, and pay parking fees through mobile devices. Parking space providers can set the parking space sharing status and view revenue through mobile devices.

[0015] Preferably, the parking space sharing module further includes a location matching unit for matching the parking spaces with their geographical locations according to the parking space location data uploaded by the parking space provider, and generating a location-based parking space sharing map for car owners to query and select through the user interface module.

[0016] Preferably, the parking space real-time monitoring module further includes a data processing unit, which is used to filter, analyze and store the parking space occupancy status and vehicle information acquired in real time to improve the accuracy and real-time nature of the monitoring data and achieve efficient data management through the processing capabilities of the cloud server.

[0017] Preferably, the dynamic scheduling module further includes a priority allocation unit, which is used to automatically adjust the priority of parking space allocation according to factors such as the car owner's membership level, reservation status and parking demand, so as to ensure that high-priority car owners can obtain vacant parking spaces more quickly and improve the parking experience;

[0018] The dynamic scheduling module further includes a priority allocation unit, which is used to automatically adjust the priority of parking space allocation according to the situation of the car owner. The specific steps are as follows:

[0019] Based on the owner's situation, calculate the owner's priority score P c , priority score P c It consists of the following parameters:

[0020] Member Level L m : The value range is 1 to 5, the higher the value, the higher the membership level;

[0021] Reservation Status s :If the owner makes an appointment in advance, R s =1, otherwise R s =0;

[0022] Historical parking times H n : The cumulative number of parking times of the owner in the parking lot, indicating the loyalty of the owner;

[0023] Special needs d :Depending on whether the owner has special needs (such as disability or pregnant woman), if there is S d =1, otherwise S d =0;

[0024] The priority scoring formula is: c =L m×3+R s ×2+H n ×0.5+S d ×2;

[0025] Explanation: Member level has the highest weight, followed by reservation and special needs, and historical parking times have little impact.

[0026] The adaptability of parking spaces in the parking lot is evaluated and the adaptability score of each parking space for car owners is calculated. The adaptability score is composed of the following parameters:

[0027] Distance from entrance D i : The distance from the parking space to the parking lot entrance, in meters. The shorter the distance, the better. The inverse value is used for evaluation.

[0028] Available status A s :If the parking space is vacant A s =1, otherwise A s =1;

[0029] Parking Space Size S z :Based on the size of the owner's vehicle, if the parking space is suitable for the vehicle size S z =1, otherwise S z =1.

[0030] The adaptability scoring formula is:

[0031] Explanation: The distance from the entrance and the parking space availability have greater weights, while the parking space size matching has a moderate impact.

[0032] According to the priority score P of the car owner c and parking adaptability score A p , calculate the comprehensive priority matching score M cp , used to determine parking space allocation, the calculation formula is: M cp =P c ×0.6+A p ×0.4;

[0033] Explanation: The priority of car owners is given a greater weight (60%), but the actual adaptability of the parking space is also considered (40%) to achieve a more flexible allocation.

[0034] The comprehensive priority matching score M based on all available parking spaces cp Sort and select the parking space with the highest score to allocate to the car owner;

[0035] The system will prioritize allocating parking spaces with the highest comprehensive scores, ensuring that high-priority car owners can quickly obtain the best parking spaces and improve their parking experience.

[0036] Preferably, the billing module further includes a diversified payment unit for supporting multiple payment methods, including but not limited to mobile payment, credit card payment and member points payment, so that car owners can choose different payment methods according to their own needs, and provide electronic receipts to ensure the transparency and security of payment.

[0037] Preferably, the artificial intelligence module also includes a traffic flow prediction unit, which is used to predict the traffic flow change trend of the parking lot by analyzing historical traffic flow data and external traffic data, and adjust the parking space allocation strategy and dynamic pricing strategy according to the prediction results to cope with traffic flow fluctuations in different time periods.

[0038] Preferably, the user interface module further includes a user feedback unit for collecting usage feedback from car owners and parking space providers, and processing the feedback data through a data analysis tool to optimize system functions and improve user experience.

[0039] Preferably, the parking space sharing module also includes a security verification unit for verifying the identity and parking space information of the parking space provider before uploading the parking space sharing information, so as to ensure the authenticity and validity of the shared information and prevent the spread of false information.

[0040] Preferably, the parking space real-time monitoring module also includes an alarm system for automatically sending an alarm notification to the parking lot manager when it detects that a vehicle occupies a parking space for a long time or exhibits abnormal behavior, so as to handle the abnormal situation in time and maintain order in the parking lot.

[0041] Preferably, the dynamic scheduling module also includes a parking space optimization recommendation unit, which is used to automatically recommend the most suitable parking space based on the car owner's historical parking data and preferences, and provide the car owner with alternative parking space suggestions when the parking space is occupied, thereby improving the user's parking efficiency and experience.

[0042] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0043] The present invention realizes the sharing and real-time monitoring of parking spaces by effectively integrating and managing parking space resources in the parking lot. This approach not only ensures the transparency and real-time update of parking space information, but also intelligently allocates vehicles to vacant parking spaces through the dynamic scheduling module, greatly improving the utilization rate of parking spaces. The system can reasonably adjust the parking of vehicles according to the actual parking space occupancy and traffic flow, avoiding the concentration and disorderly flow of traffic in the parking lot. As a result, the overall operational efficiency of the parking lot is significantly improved, the parking time of car owners is reduced, and the parking experience is improved. At the same time, the automated processing of the billing module also reduces manual intervention, reduces management costs, and improves service quality.

[0044] Through the priority management unit, the system of the present invention can dynamically adjust the priority of parking space allocation according to the car owner's membership level, reservation status and special needs, and provide more convenient parking services for high-priority users. This personalized service not only meets the parking needs of different users, but also improves the service image and user stickiness of the parking lot. At the same time, the introduction of diversified payment units provides users with a variety of payment methods to choose from, increasing the convenience and flexibility of payment. The implementation of the contactless payment function further simplifies the payment process, allowing users to leave quickly, reducing possible delays and inconveniences during the payment process, and significantly improving user satisfaction.

[0045] By analyzing historical data and external factors, the present invention can accurately predict the trend of future traffic flow changes, helping parking lots to prepare countermeasures in advance to avoid parking space waste and congestion. At the same time, the parking space recommendation unit provides personalized parking space recommendations to car owners based on their historical behaviors and preferences, reducing the time and pressure of car owners looking for parking spaces. Through intelligent resource allocation and user-oriented services, parking lots can not only improve the turnover rate of parking spaces, but also increase revenue through dynamic pricing strategies. Combining these functions, the system realizes the intelligent and refined management of parking lots, improving operational efficiency and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0047] Figure 1 It is a module schematic diagram of the parking lot payment method based on parking space sharing and the artificial intelligence parking lot management system of the present invention. DETAILED DESCRIPTION

[0048] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0049] The present invention provides Figure 1 The parking lot payment method based on parking space sharing and the artificial intelligence parking lot management system shown include a parking space sharing module, a parking space real-time monitoring module, a dynamic scheduling module, a billing module, an artificial intelligence module and a user interface module;

[0050] The parking space sharing module is used to receive and manage parking space sharing information from parking space providers, and generate a parking space sharing list based on parking space location, usage time and sharing willingness;

[0051] The parking space real-time monitoring module obtains the occupancy status and vehicle information of each parking space in real time through cameras, sensors or other detection equipment installed in the parking lot, and uploads the status and information to the cloud server for data processing;

[0052] The dynamic scheduling module intelligently schedules vehicles to enter vacant parking spaces based on the parking space occupancy status and vehicle information provided by the parking space real-time monitoring module and the parking space sharing list provided by the parking space sharing module, thereby optimizing the parking space utilization rate.

[0053] The billing module calculates the parking fee based on the actual parking time of the vehicle, the usage status of the parking space and the dynamic pricing strategy, and sends the fee information to the owner's mobile device for notification and payment;

[0054] The artificial intelligence module is integrated into the parking space real-time monitoring module, dynamic scheduling module and billing module. It uses machine learning algorithms to analyze and predict historical parking data to optimize parking space allocation, improve parking efficiency, and dynamically adjust parking rates;

[0055] The user interface module provides an interface for car owners and parking space providers to interact with the system. Car owners can query the real-time status of parking spaces, reserve parking spaces, and pay parking fees through mobile devices. Parking space providers can set the parking space sharing status and view revenue through mobile devices.

[0056] The parking space sharing module further includes a location matching unit, which is used to match the parking space with the geographical location according to the parking space location data uploaded by the parking space provider, and generate a location-based parking space sharing map for the car owner to query and select through the user interface module. The parking space real-time monitoring module further includes a data processing unit, which is used to filter, analyze and store the parking space occupancy status and vehicle information obtained in real time to improve the accuracy and real-time nature of the monitoring data, and realize efficient data management through the processing power of the cloud server.

[0057] The workflow of the parking space real-time monitoring module consists of detection equipment such as cameras and sensors and data processing of cloud servers. First, the cameras and sensors in the parking lot monitor the status of each parking space in real time and detect the entry and exit of vehicles. The camera is used to capture real-time images above the parking space and identify information such as license plate numbers and vehicle types; the sensor detects the occupancy status of the parking space, such as infrared or pressure sensors to sense whether the parking space is occupied by a vehicle. When the detection equipment obtains the parking space status and vehicle information, the data will be immediately uploaded to the parking lot's cloud server.

[0058] In the cloud server, the data is processed and analyzed. The occupancy status information is first classified as "free" or "occupied", and the real-time status of the parking space is marked in the system's parking space list. In addition, vehicle information such as license plate number and entry time are also recorded and associated with the parking space for subsequent parking time calculation and fee management. The data processing process uses image recognition, Internet of Things (IoT) sensor technology, and cloud data analysis tools to ensure the accuracy and real-time nature of the information.

[0059] Next, the system will send the processed data to the parking lot management platform and user-end applications. Managers can monitor the status of all parking spaces in real time through the background, and car owners can also check the availability of parking spaces in the parking lot through mobile devices to find available parking spaces. The entire process is automated and real-time, which not only reduces manual intervention, but also ensures efficient management of parking spaces in the parking lot and a convenient parking experience for car owners.

[0060] The dynamic scheduling module further includes a priority allocation unit, which is used to automatically adjust the priority of parking space allocation based on factors such as the car owner's membership level, reservation status and parking needs, ensuring that high-priority car owners can obtain vacant parking spaces more quickly and improve the parking experience.

[0061] The billing module further includes a diversified payment unit for supporting multiple payment methods, including but not limited to mobile payment, credit card payment and member points payment, so that car owners can choose different payment methods according to their own needs, and provide electronic receipts to ensure the transparency and security of payment. The artificial intelligence module also includes a traffic prediction unit for predicting the traffic flow trend of the parking lot by analyzing historical traffic data and external traffic data, and adjusting the parking space allocation strategy and dynamic pricing strategy according to the prediction results to cope with traffic flow fluctuations in different time periods. The user interface module further includes a user feedback unit for collecting usage feedback from car owners and parking space providers, and processing the feedback data through data analysis tools to optimize system functions and improve user experience. The parking space sharing module also includes a security verification unit for verifying the identity and parking space information of the parking space provider before uploading the parking space sharing information, ensuring the authenticity and validity of the shared information, and preventing the spread of false information. The parking space real-time monitoring module also includes an alarm system for automatically sending an alarm notification to the parking lot manager when it detects that a vehicle occupies the parking space for a long time or exhibits abnormal behavior, so as to deal with abnormal situations in a timely manner and maintain order in the parking lot. The dynamic scheduling module also includes a parking space optimization recommendation unit, which is used to automatically recommend the most suitable parking space based on the car owner's historical parking data and preferences, and provide the car owner with alternative parking space suggestions when the parking space is occupied, thereby improving the user's parking efficiency and experience.

[0062] Example 1: The parking lot payment method based on parking space sharing and the artificial intelligence parking lot management system of this embodiment mainly include six modules: parking space sharing module, parking space real-time monitoring module, dynamic scheduling module, billing module, artificial intelligence module and user interface module, aiming to realize intelligent management of parking lots and efficient utilization of parking space resources through the comprehensive use of information technology and artificial intelligence. First of all, the parking space sharing module is one of the core functions of the system. It is used to receive and manage the parking space sharing information uploaded by the parking space provider, such as the parking space location, available time period and sharing willingness. After the information is aggregated and processed, a dynamic parking space sharing list is generated, which can be updated in real time and reflect the situation of all available shared parking spaces in the parking lot for other modules of the system to call. At the same time, the parking space real-time monitoring module can obtain the occupancy status and vehicle information of each parking space in real time through the cameras, sensors and other equipment installed in the parking lot. These data are uploaded to the cloud server for processing to ensure that the parking lot management system can grasp the real-time use of each parking space in a timely and accurate manner.

[0063] After obtaining real-time information about parking spaces in the parking lot, the system's dynamic scheduling module will intelligently schedule vehicles entering the parking lot to park in vacant shared parking spaces based on these data and the parking space sharing list. The dynamic scheduling module can reasonably allocate vehicle parking and optimize parking space utilization based on a variety of factors, such as the location of the parking space, the size of the vehicle, and the flow of traffic in the parking lot. For example, when a certain area of ​​the parking lot is about to be full, the system can guide new vehicles to other areas with vacancies in advance to avoid traffic concentration and congestion. At the same time, in order to further improve the management efficiency of the parking lot, the billing module will automatically calculate the parking fee based on the actual parking time of the vehicle, the usage status of the parking space, and the preset dynamic pricing strategy, and send the relevant information to the owner's mobile device to remind the owner to pay. The entire process is highly automated and does not require human intervention, which greatly improves the operational efficiency and service quality of the parking lot.

[0064] The dynamic scheduling module further includes a priority allocation unit, which is used to automatically adjust the priority of parking space allocation according to the situation of the car owner. The specific steps are as follows:

[0065] Based on the owner's situation, calculate the owner's priority score P c , priority score P c It consists of the following parameters:

[0066] Member Level L m : The value range is 1 to 5, the higher the value, the higher the membership level;

[0067] Reservation Status s :If the owner makes an appointment in advance, R s =1, otherwise R s =0;

[0068] Historical parking times H n : The cumulative number of parking times of the owner in the parking lot, indicating the loyalty of the owner;

[0069] Special needs d :Depending on whether the owner has special needs (such as disability or pregnant woman), if there is S d =1, otherwise S d =0;

[0070] The priority scoring formula is: c =L m ×3+R s ×2+H n ×0.5+S d ×2;

[0071] Explanation: Member level has the highest weight, followed by reservation and special needs, and historical parking times have little impact.

[0072] The adaptability of parking spaces in the parking lot is evaluated and the adaptability score of each parking space for car owners is calculated. The adaptability score is composed of the following parameters:

[0073] Distance from entrance D i : The distance from the parking space to the parking lot entrance, in meters. The shorter the distance, the better. The inverse value is used for evaluation.

[0074] Available status A s :If the parking space is vacant A s =1, otherwise A s =1;

[0075] Parking Space Size S z :Based on the size of the owner's vehicle, if the parking space is suitable for the vehicle size S z =1, otherwise S z =1.

[0076] The adaptability scoring formula is:

[0077] Explanation: The distance from the entrance and the parking space availability have greater weights, while the parking space size matching has a moderate impact.

[0078] According to the priority score P of the car owner c and parking adaptability score A p , calculate the comprehensive priority matching score M cp , used to determine parking space allocation, the calculation formula is: M cp =P c ×0.6+A p ×0.4;

[0079] Explanation: The priority of car owners is given a greater weight (60%), but the actual adaptability of the parking space is also considered (40%) to achieve a more flexible allocation.

[0080] The comprehensive priority matching score M based on all available parking spaces cp Sort and select the parking space with the highest score to allocate to the car owner;

[0081] The system will prioritize allocating parking spaces with the highest comprehensive scores, ensuring that high-priority car owners can quickly obtain the best parking spaces and improve their parking experience.

[0082] The dynamic scheduling module intelligently schedules vehicles to enter the optimal vacant parking spaces based on the parking space occupancy status and vehicle information provided by the parking space real-time monitoring module and the parking space sharing list generated by the parking space sharing module to ensure maximum parking space utilization. First, the parking space real-time monitoring module detects whether the parking space is vacant through cameras and sensors, and records the vehicle entry and exit information. Then, the dynamic scheduling module calculates the owner's membership level, reservation status, historical parking times, special needs and other factors through the priority allocation step to generate the owner's priority score P c The system then evaluates the adaptability of each vacant parking space, taking into account factors such as the distance from the entrance, the vacancy status of the parking space, and whether the parking space is suitable for the size of the owner's vehicle, and generates a parking space adaptability score A. p Based on the priority score of the car owner and the adaptability score of the parking space, the system calculates the comprehensive priority matching score M cp , and for all vacant parking spaces M cp Sort.

[0083] After the sorting is completed, the dynamic scheduling module will allocate the parking space with the highest comprehensive score to the car owner, ensuring that the high-priority car owner can quickly obtain the best parking space. In this way, the system not only improves the parking experience of the car owner, but also reduces the vacant time of the parking space through intelligent scheduling, optimizes the overall parking space utilization rate of the parking lot, and further improves the operation efficiency and service quality of the parking lot.

[0084] In addition, the artificial intelligence module in the system analyzes and predicts historical parking data by integrating machine learning algorithms, further optimizes parking space allocation strategies, and improves parking efficiency. The artificial intelligence module can learn and analyze parking demand and traffic flow patterns in different time periods, predict future changes in parking lot traffic, and help managers develop more effective parking and charging strategies. At the same time, the artificial intelligence module can also dynamically adjust parking rates based on parking lot usage data to ensure that parking lot revenue is maximized and parking space turnover is improved. Finally, the user interface module provides a friendly interface for car owners and parking space providers to interact with the system. Car owners can use mobile devices to query the parking space status, reserve parking spaces, and pay parking fees in real time, while parking space providers can use the user interface module to set the shared status of parking spaces and view shared revenue. In this way, the parking lot not only improves management efficiency, but also provides a convenient user experience for car owners and parking space providers, further optimizing the allocation and utilization of parking resources.

[0085] Example 2: This embodiment further enhances the functions of the dynamic scheduling module and the billing module on the basis of the parking payment method based on parking space sharing and the infrastructure of the artificial intelligence parking management system to enhance the intelligence of parking lot management and user experience. First, the system adds a priority allocation unit to achieve more refined parking space management. The priority allocation unit allocates parking spaces of different priorities to different car owners according to the car owner's membership level, reservation status, parking preferences and other specific needs. For example, for VIP members or high-level members, the system can give priority to parking spaces near elevators, exits and other locations; for car owners with special needs (such as disabled people or pregnant women), the system can reserve exclusive parking spaces. This priority management mechanism ensures that high-priority users can quickly find parking spaces, reduce waiting time, and enhance the overall parking experience. In addition, the system can also dynamically adjust the parking space allocation strategy, flexibly allocate parking spaces according to the real-time parking space occupancy and changes in car owner needs, so as to maximize the use of parking resources and improve parking space turnover.

[0086] At the same time, this embodiment also integrates a diversified payment unit in the billing module to support multiple payment methods to meet the payment habits and preferences of different users. The diversified payment unit can handle multiple payment methods including mobile payment (such as Alipay, WeChat payment), credit card payment, member points payment, etc., providing car owners with more choices. After completing parking, the user can select the appropriate payment method through the user interface module. The system will automatically generate the corresponding payment request and provide the user with an electronic receipt after the payment is completed. This design not only improves the convenience and flexibility of payment, but also effectively improves the security and transparency of the payment process. In addition, the system supports the senseless payment function. Car owners can automatically complete the deduction of parking fees when entering and exiting the parking lot, without parking to swipe the card or scan the code to pay, which further simplifies the parking process. The integration of these functions makes the parking management system more intelligent and user-friendly, providing car owners with a seamless parking and payment experience, and improving user satisfaction and the service level of the parking lot.

[0087] Through the integration of priority management and diversified payment functions, the parking lot management system has achieved more refined and intelligent parking space allocation and fee management. By analyzing user data and behavior patterns, the priority management unit can not only achieve the optimal allocation of parking space resources, but also provide parking lot operators with more accurate user portraits and demand analysis, so as to formulate more effective market strategies and service improvement plans. At the same time, the introduction of diversified payment functions makes the payment process in the parking process more efficient, safe and flexible, meets the payment needs of different car owners, and reduces possible delays and frictions in the payment process. This intelligent and refined management model not only improves the overall operational efficiency and user experience of the parking lot, but also provides strong support for the sustainable development of the parking lot.

[0088] Example 3: This embodiment introduces artificial intelligence prediction and parking space recommendation functions into the parking lot management system to further improve the intelligent management level and user experience of the parking lot. The artificial intelligence module of the system adds a traffic flow prediction unit, which predicts the traffic flow change trend of the parking lot by collecting and analyzing historical parking data, external traffic data, and external factors such as weather and holidays. In this way, the system can understand the peaks and troughs of traffic flow in different time periods in advance, and adjust the allocation strategy and pricing strategy of parking spaces accordingly. For example, before the expected peak traffic period, the system can reserve some parking spaces or adjust the use time of parking spaces, or dynamically increase parking rates to balance supply and demand and alleviate congestion. This prediction function can not only effectively improve the operational efficiency of parking lots, but also help parking lot managers better plan resources and maximize the utilization of parking spaces.

[0089] In addition, the AI ​​module also includes a parking space optimization recommendation unit, which provides personalized parking space recommendations to car owners based on their historical parking data and personal preferences. Whenever a car owner approaches a parking lot, the system will push the most suitable parking space information through the user interface module to help the car owner quickly find an ideal parking location. If the recommended parking space is already occupied, the system will intelligently provide alternative parking space suggestions to ensure that the car owner can park the vehicle quickly. The parking space recommendation function not only saves car owners time in finding parking spaces, reduces the disorderly flow and congestion of traffic in the parking lot, but also improves the overall parking experience. Through intelligent parking space recommendations, car owners can get more convenient parking services, and parking lots can also achieve more efficient parking space management and allocation.

[0090] By applying artificial intelligence prediction and parking space recommendation functions to the parking lot management system, this implementation method significantly improves the management efficiency and user satisfaction of the parking lot. The traffic flow prediction function helps parking lot managers make more informed decisions during peak hours through real-time analysis and prediction, avoiding waste of parking spaces and unnecessary congestion. At the same time, the parking space recommendation function provides car owners with more considerate services through precise data analysis and user behavior learning, enhancing the competitiveness of parking lots. The combination of these two functions not only improves the operation of parking lots, but also brings car owners a smoother and more pleasant parking experience. In addition, through continuous learning and optimization, the artificial intelligence module can continuously improve parking space allocation and recommendation strategies to ensure that the system is always in the best state, further promoting the intelligent and digital transformation of parking lots.

[0091] The present invention realizes the sharing and real-time monitoring of parking spaces by effectively integrating and managing parking space resources in the parking lot. This approach not only ensures the transparency and real-time update of parking space information, but also intelligently allocates vehicles to vacant parking spaces through the dynamic scheduling module, greatly improving the utilization rate of parking spaces. The system can reasonably adjust the parking of vehicles according to the actual parking space occupancy and traffic flow, avoiding the concentration and disorderly flow of traffic in the parking lot. As a result, the overall operational efficiency of the parking lot is significantly improved, the parking time of car owners is reduced, and the parking experience is improved. At the same time, the automated processing of the billing module also reduces manual intervention, reduces management costs, and improves service quality.

[0092] Through the priority management unit, the system of the present invention can dynamically adjust the priority of parking space allocation according to the car owner's membership level, reservation status and special needs, and provide more convenient parking services for high-priority users. This personalized service not only meets the parking needs of different users, but also improves the service image and user stickiness of the parking lot. At the same time, the introduction of diversified payment units provides users with a variety of payment methods to choose from, increasing the convenience and flexibility of payment. The implementation of the contactless payment function further simplifies the payment process, allowing users to leave quickly, reducing possible delays and inconveniences during the payment process, and significantly improving user satisfaction.

[0093] By analyzing historical data and external factors, the present invention can accurately predict the trend of future traffic flow changes, helping parking lots to prepare countermeasures in advance to avoid parking space waste and congestion. At the same time, the parking space recommendation unit provides personalized parking space recommendations to car owners based on their historical behaviors and preferences, reducing the time and pressure of car owners looking for parking spaces. Through intelligent resource allocation and user-oriented services, parking lots can not only improve the turnover rate of parking spaces, but also increase revenue through dynamic pricing strategies. Combining these functions, the system realizes the intelligent and refined management of parking lots, improving operational efficiency and market competitiveness.

[0094] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A parking lot payment method and an artificial intelligence parking lot management system based on parking space sharing, characterized in that: It includes parking space sharing module, parking space real-time monitoring module, dynamic scheduling module, billing module, artificial intelligence module and user interface module; The parking space sharing module is used to receive and manage parking space sharing information from parking space providers, and generate a parking space sharing list based on parking space location, usage time and sharing willingness; The parking space real-time monitoring module obtains the occupancy status and vehicle information of each parking space in real time, and uploads the status and information to the cloud server for data processing; The dynamic scheduling module intelligently schedules vehicles to enter vacant parking spaces based on the parking space occupancy status and vehicle information provided by the parking space real-time monitoring module and the parking space sharing list provided by the parking space sharing module, thereby optimizing the parking space utilization rate. The billing module calculates the parking fee based on the actual parking time of the vehicle, the usage status of the parking space and the dynamic pricing strategy, and sends the fee information to the owner's mobile device for notification and payment; The artificial intelligence module is integrated into the parking space real-time monitoring module, dynamic scheduling module and billing module. It uses machine learning algorithms to analyze and predict historical parking data to optimize parking space allocation, improve parking efficiency, and dynamically adjust parking rates; The user interface module provides an interface for car owners and parking space providers to interact with the system. Car owners can query the real-time status of parking spaces, reserve parking spaces, and pay parking fees through mobile devices. Parking space providers can set the parking space sharing status and view revenue through mobile devices.

2. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The parking space sharing module further includes a location matching unit for matching the parking spaces with their geographical locations according to the parking space location data uploaded by the parking space provider, and generating a location-based parking space sharing map for the car owner to query and select through the user interface module.

3. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The parking space real-time monitoring module further includes a data processing unit, which is used to filter, analyze and store the real-time acquired parking space occupancy status and vehicle information to improve the accuracy and real-time nature of the monitoring data, and to achieve efficient data management through the processing power of the cloud server.

4. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The dynamic scheduling module further includes a priority allocation unit for automatically adjusting the priority of parking space allocation according to the situation of the car owner, ensuring that high-priority car owners can obtain free parking spaces more quickly and improve the parking experience; The dynamic scheduling module further includes a priority allocation unit, which is used to automatically adjust the priority of parking space allocation according to the situation of the car owner. The specific steps are as follows: Based on the owner's situation, calculate the owner's priority score P c , priority score P c It consists of the following parameters: Member Level L m : The value range is 1 to 5; Reservation Status s :If the owner makes an appointment in advance, R s =1, otherwise R s =0; Historical parking times H n : The cumulative number of parking times of the owner in the parking lot, indicating the loyalty of the owner; Special needs d :Depending on whether the owner has special needs, if there is S d =1, otherwise S d =0; The priority scoring formula is: c =L m ×3+R s ×2+H n ×0.5+S d ×2; The adaptability of parking spaces in the parking lot is evaluated and the adaptability score of each parking space for car owners is calculated. The adaptability score is composed of the following parameters: Distance from entrance D i : The distance from the parking space to the parking lot entrance; Available status A s :If the parking space is vacant A s =1, otherwise A s =1; Parking Space Size S z :Based on the size of the owner's vehicle, if the parking space is suitable for the vehicle size S z =1, otherwise S z =1. The adaptability scoring formula is: According to the priority score P of the car owner c and parking adaptability score A p , calculate the comprehensive priority matching score M cp , used to determine parking space allocation, the calculation formula is: M cp =P c ×0.6+A p ×0.4; The comprehensive priority matching score M based on all available parking spaces cp Sort and select the parking space with the highest score to allocate to the car owner.

5. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The billing module further includes a diversified payment unit for supporting multiple payment methods, allowing car owners to choose different payment methods according to their own needs, and providing electronic receipts to ensure the transparency and security of payment.

6. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The artificial intelligence module also includes a traffic flow prediction unit, which is used to predict the traffic flow change trend in the parking lot by analyzing historical traffic flow data and external traffic data, and adjust the parking space allocation strategy and dynamic pricing strategy based on the prediction results to cope with traffic flow fluctuations in different time periods.

7. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The user interface module further includes a user feedback unit for collecting usage feedback from car owners and parking space providers, and processing the feedback data through data analysis tools to optimize system functions and improve user experience.

8. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The parking space sharing module also includes a security verification unit for verifying the identity and parking space information of the parking space provider before uploading the parking space sharing information to ensure the authenticity and validity of the shared information.

9. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The parking space real-time monitoring module also includes an alarm system, which is used to automatically send an alarm notification to the parking lot manager to maintain order in the parking lot when it detects that a vehicle occupies a parking space for a long time or exhibits abnormal behavior.

10. The parking lot payment method and artificial intelligence parking lot management system based on parking space sharing according to claim 1, characterized in that: The dynamic scheduling module also includes a parking space optimization recommendation unit, which is used to automatically recommend the most suitable parking space based on the car owner's historical parking data and preferences, and provide the car owner with alternative parking space suggestions when the parking space is occupied, thereby improving the user's parking efficiency and experience.

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