An intelligent skyscraper underground parking system and method applied to green shared bicycles

Abstract

The application discloses an intelligent skyscraper underground parking system and method applied to green shared bicycles. The system comprises two modules of a hardware system and a software system, wherein the hardware system adopts an underground layout mode and is composed of a three-dimensional dumping module and a transportation and access module; and the software system is composed of a user terminal applet and a management platform. The method is as follows: the user terminal applet provides one-stop service for the slow traffic demand of travelers, takes "home page-map-order-personal center" as a basic framework, and connects the field searching, navigation, riding and bicycle taking and returning links; and the management platform realizes the management and operation and maintenance of the shared bicycles by four modules of a home page module, a data overview module, a real-time monitoring module and a user management module. The application reduces the influence of the shared bicycles on traffic, protects the bicycles, improves the user experience, reduces the operation and maintenance cost of the shared bicycles, and realizes intelligent management of the parking and recycling of the urban shared bicycles.

Description

Technical Field

[0001] This invention relates to the field of mechanical automation technology, and in particular to an intelligent underground parking system and method for green shared bicycles. Background Technology

[0002] In recent years, automobiles have accounted for over 80% of carbon emissions in my country's transportation sector, primarily releasing harmful gases such as carbon monoxide, sulfur dioxide, and particulate matter (PM). Sulfur dioxide, a major component of acid rain, poses a significant challenge to environmental governance. Against this backdrop, shared bicycles have rapidly developed due to their environmental friendliness, convenience, and affordability, becoming an effective method for controlling traffic pollution. However, with the rapid development of shared bicycles, some drawbacks are gradually emerging. The current market competition has led to overcapacity, creating a new form of waste, and the haphazard parking of shared bicycles poses a significant threat to public safety.

[0003] With the continuous expansion of the user base and the increasing number of usage locations, the problem of haphazard parking of shared bicycles has become one of the bottlenecks in their development. As a relatively new phenomenon, shared bicycles were not planned for in advance during traditional urban planning, and it was difficult to estimate the city's capacity to accommodate them, further exacerbating this problem. Therefore, the explosive growth of shared bicycles has resulted in many green belts and tactile paving areas being occupied by them, making it a pain point in urban governance. Disorderly parking of some shared bicycles has led to management negligence, not only exacerbating public safety hazards but also causing frequent damage to the vehicles, thus greatly increasing resource waste. Therefore, in order to promote sustainable urban development and achieve "dual carbon" goals, it is urgent to overcome the management bottlenecks of shared bicycles.

[0004] Therefore, the development of the shared bicycle industry is severely hampered by several contradictions: the user base's pursuit of "pick up and drop off anywhere" convenience versus the need for orderly urban governance; the companies' blind pursuit of market share versus the pursuit of refined management; and the large-scale aggregation of bicycles in popular areas versus urban road infrastructure planning. Some scholars have attempted to alleviate this problem by optimizing parking spots based on people's travel time and needs. This method requires calculating the travel patterns of people in the area and analyzing local road traffic data. However, with rapid societal development, pedestrian flow and buildings change constantly, and the applicability of this method decreases quickly. Therefore, this method has significant limitations and lacks versatility. Summary of the Invention

[0005] The purpose of this invention is to provide a green shared bicycle parking system and method that features high space utilization, low land occupation, minimal impact on traffic, good vehicle protection, high level of intelligence, and low operation and maintenance costs.

[0006] The technical solution to achieve the purpose of this invention is: an intelligent underground parking system for green shared bicycles, comprising two modules: a hardware system and a software system. The hardware system is deployed underground and consists of a three-dimensional transfer module and a transportation and storage module. The software system consists of a user-end applet and a management platform.

[0007] The three-dimensional transfer module is used to realize high-density storage of shared bicycles in the underground storage area and efficient scheduling inside the circular track;

[0008] The transport and storage module is used to transfer bicycles from the underground storage area to the ground in a timely and orderly manner for users to use;

[0009] The user-facing mini-program is used to provide a one-stop service for travelers' slow-moving transportation needs;

[0010] The management platform is used by administrators to manage and maintain shared bicycles.

[0011] As a specific example, the three-dimensional transfer module is located in the underground storage area and adopts a multi-layered circular track design. It consists of an adaptive electric boom, a dynamic balancing parking platform, and a circular frame. By automatically adjusting the angle, it maintains the stable operation of the shared bicycles. Through the cooperation between the various components, it achieves high-density storage of shared bicycles and efficient scheduling within the circular track.

[0012] As a specific example, the transportation and retrieval module adopts a three-level linkage transportation structure consisting of a retrieval workshop, a transportation channel, and a waiting corridor. Through the intelligent docking of the parking platform and the waiting corridor, and the firm combination of the snap-on frame and the electric crane, the shared bicycles are transported from the waiting corridor to the transportation channel and then to the retrieval workshop, so as to transfer the bicycles in the underground storage area to the ground in a timely and orderly manner for users to use.

[0013] As a specific example, the user-side mini-program includes a map interface, an order interface, a cycling interface, and a personal center interface;

[0014] The map interface uses GIS spatial information technology to realize the parking lot search function. Combined with the user's real-time location information, a weighted graph model is constructed based on the urban road network topology, and the Dijkstra algorithm is used to calculate the optimal navigation path from the user's current location to the parking lot entrance.

[0015] The order interface records relevant data for each ride, making it easy for users to query historical orders;

[0016] The cycling interface displays the vehicle's operating status, cycling time, and estimated cost in real time after scanning the code. It also supports temporary locking and fault reporting, making the user's cycling process fully transparent and facilitating refined management.

[0017] The personal center interface includes functions such as order inquiry, consumption statistics, membership level management, coupon redemption and service feedback, providing users with a complete service loop from pre-trip planning, in-ride management to post-trip settlement, realizing efficient interaction between the underground bicycle dispatch system and users, making transportation more convenient and intelligent.

[0018] As a specific example, the method by which the map interface calculates the optimal navigation path from the user's current location to the parking lot entrance is as follows:

[0019] Represent the road network as a graph ,in For a set of nodes, Given the set of edges, Dijkstra's algorithm is used to plan and calculate the path with the minimum comprehensive passage cost from the user's current location to the parking lot entrance, thereby generating the optimal navigation path from the user's current location to the parking lot entrance. The formula is as follows:

[0020]

[0021] In the formula and Let be the weight coefficient, and satisfy... The value range is [0,1]. This represents the actual walking distance between node i and node j. This indicates the estimated travel time for this section of road. and These are the normalized baseline values ​​for distance and time within the path search range, respectively.

[0022] As a specific example, the management platform includes a homepage module, a data overview module, a real-time monitoring module, and a user management module;

[0023] The homepage module includes a system function introduction, an overall operation overview, and current news reports, which makes it easy for managers to quickly understand the current overall status.

[0024] The data overview module is used for statistical analysis of operational data, including vehicle usage, brand comparison, revenue statistics, and damage rate, to comprehensively present the operational situation and provide data support for subsequent decision-making.

[0025] The real-time monitoring module uses the DBSCAN density clustering algorithm to perform thermal identification of shared bicycles, and combines the local underground pipeline conditions and feasibility to select parking lot locations. It also displays the specific borrowing and returning status of vehicles in different parking lots, as well as the parking situation around the parking lot and at the station. By integrating this monitoring data, managers can quickly and conveniently schedule and adjust the parking lots.

[0026] The user management module is used to analyze user behavior, including shared bicycle brand usage, parking location distribution, and user usage data.

[0027] A smart underground parking method for green shared bicycles, based on the aforementioned smart underground parking system, includes a method for implementing a user-end mini-program and a method for implementing a management-end platform.

[0028] As a specific example, the implementation method of the user-side mini-program includes the following steps:

[0029] Step 1.1: The user opens the "Map" interface of the mini program, checks the location of nearby parking lots and vehicle status, arrives at the nearest parking lot according to the map instructions, opens the mini program to scan the QR code, and issues the vehicle retrieval instruction;

[0030] Step 1.2: After receiving the instruction, the transport and storage module starts moving the dynamic parking platform along the circular track in the underground parking lot, so that the parking platform is precisely aligned with the waiting corridor; the adaptive electric boom moves to the waiting corridor and tightly engages with the snap-on frame to firmly hold the bicycle seat; the adaptive electric boom moves along the track on the transport channel to transport the bicycle to the storage workshop; the user takes the bicycle from the storage workshop and enters the riding page in the mini program;

[0031] Step 1.3: If a user discovers a malfunction in the bicycle while riding, they can click "Report Fault" on the riding interface, cancel the trip, and reissue the bicycle retrieval command.

[0032] Step 1.4: After completing the ride, the user clicks "Find Return Point" on the riding page and returns the bike to the nearest underground parking lot according to the navigation prompts; puts the bike in the storage and retrieval workshop and clicks "End Trip" on the riding interface; if the user has any questions about the order, they can click on the "Personal Center" interface in the mini program to check the order information;

[0033] Step 1.5: After the bicycle is placed in the storage and retrieval workshop, the adaptive electric boom engages with the frame, and the circular track begins to operate, transporting the bicycle to the parking platform, thus completing the bicycle retrieval.

[0034] As a specific example, the implementation method of the management platform includes the following steps:

[0035] Step 2.1: The management platform connects to the "Order Interface" data in the user's mini-program backend to obtain basic data on bike usage and summarizes it on the management platform homepage. Administrators can quickly view the overall operation status and get a preliminary understanding of bike usage and retrieval by opening the management platform homepage.

[0036] Step 2.2: The management platform uses algorithms to refine and classify all the data transmitted from the user-end mini-program, and summarizes it in the "Data Overview" interface of the management platform. By opening the "Data Overview" interface, the manager can clearly grasp the data on vehicle usage, revenue, and damage rate, and adjust the number of vehicles deployed and the riding price based on the data, and arrange for the repair of faulty vehicles in a timely manner.

[0037] Step 2.3: The "Real-time Monitoring" interface of the management platform collects the location information used by the user's mini-program when borrowing and returning bikes. The DBSCAN density clustering algorithm is used to perform clustering hotspot analysis on the location information of borrowing and returning bikes. The administrator judges whether the site location is in the hotspot highly fitted area based on the hotspot analysis results, and adjusts the location of sites that deviate from the highly fitted area in a timely manner, and adds sites in the highly fitted area to realize intelligent scheduling of shared bikes.

[0038] Step 2.4: The "User Management" interface of the management platform collects basic user information and user feedback information from the user-end mini-program, comprehensively compiles user characteristics and cycling hobby data, and uses the information in this interface to accurately draw user profiles, expand the user base in a targeted manner, and process user feedback in the "Personal Center" with one click through this interface to efficiently solve user problems and improve user experience.

[0039] Compared with the prior art, the present invention has the following significant advantages: (1) The hardware storage part adopts a multi-layer three-dimensional transfer structure, and achieves high-density storage through a ring track and dynamic parking plate, which has little impact on traffic and improves space utilization; (2) The "underground hidden - above-ground micro-disturbance" design is adopted to reduce the occupation of land and reduce natural and human damage to vehicles, and the vehicles are well protected; (3) The intelligent hardware system design is adopted, the electric arm adjusts the tilt angle of the parking plate to assist bicycles in entering the waiting corridor, and multiple measures such as buckles, cranes and tracks prevent vehicles from tilting and falling off. The three-level linkage transportation module supports rapid scheduling during peak periods and has a high degree of intelligence; (4) It has a dynamic range search parking lot function, and combined with a three-dimensional map, it optimizes the pick-up route and driving path for users, effectively solves the travel pain points of "difficult to find a car and difficult to find a parking lot" in traditional shared bicycles, and improves the user experience; (5) It can comprehensively monitor the real-time data of bicycles, quickly view the overall operation status, reduce the operation and maintenance cost of shared bicycles, and realize the intelligent management of urban shared bicycle parking and recycling. Attached Figure Description

[0040] Figure 1 This is a structural schematic diagram of an intelligent underground parking system for green shared bicycles according to the present invention.

[0041] Figure 2 This is a side view of the structure of the three-dimensional dump module in an embodiment of the present invention.

[0042] Figure 3 This is a schematic diagram of the structure of the dynamic balancing parking platform in an embodiment of the present invention.

[0043] Figure 4 This is a schematic diagram of the transport and storage module in an embodiment of the present invention.

[0044] Figure 5 This is a schematic diagram of the transport channel in the transport storage module of this invention.

[0045] Figure 6 This is a schematic diagram of the "Home" interface on the platform in an embodiment of the present invention.

[0046] Figure 7 This is a hotspot analysis diagram of shared bicycle borrowing and returning on the platform side in an embodiment of the present invention.

[0047] Figure 8 This is a POI distribution map of the entire area in the platform terminal of this embodiment of the invention.

[0048] Figure 9 This is a schematic diagram of the "Real-time Monitoring" interface on the platform in an embodiment of the present invention.

[0049] Figure 10 This is a schematic diagram of the "Data Overview" interface on the platform in an embodiment of the present invention.

[0050] Figure 11 This is a map showing the distribution of Points of Interest (POIs) around each parking lot in the platform of this invention.

[0051] Figure 12 This is a schematic diagram of the "Home" interface in the user-side mini-program in an embodiment of the present invention.

[0052] Figure 13 This is a schematic diagram of the "map" interface in the user-side mini-program in an embodiment of the present invention.

[0053] Figure 14 This is a schematic diagram of the "Start Riding" interface in the user-side mini-program in an embodiment of the present invention.

[0054] Figure 15 This is a schematic diagram of the "End of Cycling" interface in the user-side mini-program in an embodiment of the present invention.

[0055] Figure 16 This is a schematic diagram of the "Personal Center" interface in the user-side mini-program in an embodiment of the present invention.

[0056] Figure 17 This is a schematic diagram of the optimal path for finding a parking lot in the user-side applet of this invention. Detailed Implementation

[0057] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0058] like Figure 1 As shown, the present invention discloses an intelligent underground parking system for green shared bicycles, comprising two modules: a hardware system and a software system. The hardware system is deployed underground and consists of a three-dimensional transfer module and a transportation and storage module. The software system consists of a user-end applet and a management platform.

[0059] The three-dimensional transfer module is used to realize high-density storage of shared bicycles in the underground storage area and efficient scheduling inside the circular track;

[0060] The transport and storage module is used to transfer bicycles from the underground storage area to the ground in a timely and orderly manner for users to use;

[0061] The user-facing mini-program is used to provide a one-stop service for travelers' slow-moving transportation needs;

[0062] The management platform is used by administrators to manage and maintain shared bicycles.

[0063] As a specific example, the three-dimensional transfer module is located in the underground storage area and adopts a multi-layered circular track design. It consists of an adaptive electric boom, a dynamic balancing parking platform, and a circular frame. By automatically adjusting the angle, it maintains the stable operation of the shared bicycles. Through the cooperation between the various components, it achieves high-density storage of shared bicycles and efficient scheduling within the circular track.

[0064] As a specific example, the transportation and retrieval module adopts a three-level linkage transportation structure consisting of a retrieval workshop, a transportation channel, and a waiting corridor. Through the intelligent docking of the parking platform and the waiting corridor, and the firm combination of the snap-on frame and the electric crane, the shared bicycles are transported from the waiting corridor to the transportation channel and then to the retrieval workshop, so as to transfer the bicycles in the underground storage area to the ground in a timely and orderly manner for users to use.

[0065] As a specific example, the user-side mini-program includes a map interface, an order interface, a cycling interface, and a personal center interface;

[0066] The map interface uses GIS spatial information technology to realize the parking lot search function. Combined with the user's real-time location information, a weighted graph model is constructed based on the urban road network topology, and the Dijkstra algorithm is used to calculate the optimal navigation path from the user's current location to the parking lot entrance.

[0067] The order interface records relevant data for each ride, making it easy for users to query historical orders;

[0068] The cycling interface displays the vehicle's operating status, cycling time, and estimated cost in real time after scanning the code. It also supports temporary locking and fault reporting, making the user's cycling process fully transparent and facilitating refined management.

[0069] The personal center interface includes functions such as order inquiry, consumption statistics, membership level management, coupon redemption and service feedback, providing users with a complete service loop from pre-trip planning, in-ride management to post-trip settlement, realizing efficient interaction between the underground bicycle dispatch system and users, making transportation more convenient and intelligent.

[0070] As a specific example, the method by which the map interface calculates the optimal navigation path from the user's current location to the parking lot entrance is as follows:

[0071] Represent the road network as a graph ,in For a set of nodes, Given the set of edges, Dijkstra's algorithm is used to plan and calculate the path with the minimum comprehensive passage cost from the user's current location to the parking lot entrance, thereby generating the optimal navigation path from the user's current location to the parking lot entrance. The formula is as follows:

[0072]

[0073] In the formula and Let be the weight coefficient, and satisfy... The value range is [0,1]. This represents the actual walking distance between node i and node j. This indicates the estimated travel time for this section of road. and These are the normalized baseline values ​​for distance and time within the path search range, respectively.

[0074] As a specific example, the management platform includes a homepage module, a data overview module, a real-time monitoring module, and a user management module;

[0075] The homepage module includes a system function introduction, an overall operation overview, and current news reports, which makes it easy for managers to quickly understand the current overall status.

[0076] The data overview module is used for statistical analysis of operational data, including vehicle usage, brand comparison, revenue statistics, and damage rate, to comprehensively present the operational situation and provide data support for subsequent decision-making.

[0077] The real-time monitoring module uses the DBSCAN density clustering algorithm to perform thermal identification of shared bicycles, and combines the local underground pipeline conditions and feasibility to select parking lot locations. It also displays the specific borrowing and returning status of vehicles in different parking lots, as well as the parking situation around the parking lot and at the station. By integrating this monitoring data, managers can quickly and conveniently schedule and adjust the parking lots.

[0078] The user management module is used to analyze user behavior, including shared bicycle brand usage, parking location distribution, and user usage data.

[0079] A smart underground parking method for green shared bicycles, based on the aforementioned smart underground parking system, includes a method for implementing a user-end mini-program and a method for implementing a management-end platform.

[0080] As a specific example, the implementation method of the user-side mini-program includes the following steps:

[0081] Step 1.1: The user opens the "Map" interface of the mini program, checks the location of nearby parking lots and vehicle status, arrives at the nearest parking lot according to the map instructions, opens the mini program to scan the QR code, and issues the vehicle retrieval instruction;

[0082] Step 1.2: After receiving the instruction, the transport and storage module starts moving the dynamic parking platform along the circular track in the underground parking lot, so that the parking platform is precisely aligned with the waiting corridor; the adaptive electric boom moves to the waiting corridor and tightly engages with the snap-on frame to firmly hold the bicycle seat; the adaptive electric boom moves along the track on the transport channel to transport the bicycle to the storage workshop; the user takes the bicycle from the storage workshop and enters the riding page in the mini program;

[0083] Step 1.3: If a user discovers a malfunction in the bicycle while riding, they can click "Report Fault" on the riding interface, cancel the trip, and reissue the bicycle retrieval command.

[0084] Step 1.4: After completing the ride, the user clicks "Find Return Point" on the riding page and returns the bike to the nearest underground parking lot according to the navigation prompts; puts the bike in the storage and retrieval workshop and clicks "End Trip" on the riding interface; if the user has any questions about the order, they can click on the "Personal Center" interface in the mini program to check the order information;

[0085] Step 1.5: After the bicycle is placed in the storage and retrieval workshop, the adaptive electric boom engages with the frame, and the circular track begins to operate, transporting the bicycle to the parking platform, thus completing the bicycle retrieval.

[0086] As a specific example, the implementation method of the management platform includes the following steps:

[0087] Step 2.1: The management platform connects to the "Order Interface" data in the user's mini-program backend to obtain basic data on bike usage and summarizes it on the management platform homepage. Administrators can quickly view the overall operation status and get a preliminary understanding of bike usage and retrieval by opening the management platform homepage.

[0088] Step 2.2: The management platform uses algorithms to refine and classify all the data transmitted from the user-end mini-program, and summarizes it in the "Data Overview" interface of the management platform. By opening the "Data Overview" interface, the manager can clearly grasp the data on vehicle usage, revenue, and damage rate, and adjust the number of vehicles deployed and the riding price based on the data, and arrange for the repair of faulty vehicles in a timely manner.

[0089] Step 2.3: The "Real-time Monitoring" interface of the management platform collects the location information used by the user's mini-program when borrowing and returning bikes. The DBSCAN density clustering algorithm is used to perform clustering hotspot analysis on the location information of borrowing and returning bikes. The administrator judges whether the site location is in the hotspot highly fitted area based on the hotspot analysis results, and adjusts the location of sites that deviate from the highly fitted area in a timely manner, and adds sites in the highly fitted area to realize intelligent scheduling of shared bikes.

[0090] Step 2.4: The "User Management" interface of the management platform collects basic user information and user feedback information from the user-end mini-program, comprehensively compiles user characteristics and cycling hobby data, and uses the information in this interface to accurately draw user profiles, expand the user base in a targeted manner, and process user feedback in the "Personal Center" with one click through this interface to efficiently solve user problems and improve user experience.

[0091] Example

[0092] This embodiment provides an intelligent underground parking system for green shared bicycles, such as... Figure 1 As shown, it includes two modules: a hardware system and a software system. The hardware system is deployed underground and consists of a three-dimensional storage module and a transportation and storage module. The software system consists of a user-end applet and a management platform.

[0093] The three-dimensional transfer module is used to realize high-density storage of shared bicycles in the underground storage area and efficient scheduling inside the circular track;

[0094] The transport and storage module is used to transfer bicycles from the underground storage area to the ground in a timely and orderly manner for users to use;

[0095] The user-end mini-program provides a one-stop service for travelers' slow-moving transportation needs, with "homepage-map-orders-personal center" as the basic structure, connecting the various links of finding a location, navigation, riding, and picking up and returning the bike;

[0096] The management platform is designed with four modules for managers to manage and maintain shared bicycles: a homepage module, a data overview module, a real-time monitoring module, and a user management module.

[0097] As a specific example, the three-dimensional transfer module is located in the underground storage area, and its main functions are divided into two parts: storage of shared bicycles and internal scheduling of shared bicycles. The three-dimensional transfer module adopts a multi-layered circular track design, consisting of an adaptive electric crane, a dynamic balancing parking platform, and a circular frame. It maintains the stable operation of shared bicycles by automatically adjusting the angle. Through the cooperation between the various components, it achieves high-density storage of shared bicycles and efficient scheduling within the circular track. The transport circular track and the storage platform, combined with a dynamic scheduling algorithm, make the distribution of bicycles within the device more rational, achieving a faster vehicle dispatching mode with minimal movement.

[0098] As a specific example, the transportation and retrieval module adopts a three-level linkage conveyor structure consisting of a retrieval workshop, a transportation channel, and a waiting corridor. Through intelligent docking between the parking platform and the waiting corridor, and the secure connection between the snap-on frame and the electric crane, it completes the flow of shared bicycles from the waiting corridor to the transportation channel and then to the retrieval workshop. Its main function is to retrieve bicycles from the three-dimensional transfer platform and deliver them to users, serving as a crucial bridge between users and vehicles, providing transportation for bicycles and retrieval for users. To facilitate handling peak retrieval periods, bicycles can be pre-positioned in the waiting or retrieval area, and multiple retrieval workshops can be added at the end to improve retrieval efficiency.

[0099] The hardware system is located underground, making it more resistant to certain extreme weather conditions. For example, underground buildings are more earthquake-resistant than above-ground buildings. Since underground parking garages operate primarily during the day, they can utilize solar energy as their main energy source, making them more energy-efficient and environmentally friendly.

[0100] like Figure 2 As shown, the three-dimensional transfer module of this invention consists of three parts: an adaptive electric boom, a dynamically balanced parking platform, and a circular track. The right arm of the adaptive electric boom is an electric boom that can be freely extended and retracted to change the tilt of the parking platform, primarily providing power for shared bicycles to enter the waiting area. When the parking platform begins to lose balance during rapid movement, the adaptive electric boom can provide some balancing support. Multiple grooves are embedded in the dynamic parking platform to ensure the movement trajectory of the shared bicycles and assist in their balance.

[0101] The system of this invention has a shared bicycle parking rack embedded at the rear of the vehicle, such as... Figure 3As shown, this design prevents the vehicles from tilting left or right as they move along the circular track. Each parking rack is connected to the wheel with a snap-fit ​​mechanism, ensuring that other vehicles remain on the rack when the parking platform rotates to the waiting area. A small underground parking system can easily accommodate hundreds of shared bicycles. As the underground depth and parking platform length increase, the number of bicycles that can be accommodated increases exponentially while maintaining the same floor space, significantly reducing the land requirement. Because it is an underground, enclosed space, it reduces the possibility of human-caused damage and natural damage from wind and sun, greatly increasing the lifespan of the vehicles and reducing the risk of them becoming unusable. Furthermore, intelligent mechanical management can effectively reduce manual management costs, and may even surpass manual management in terms of precision and efficiency.

[0102] like Figure 4 As shown, the transportation and storage module of this invention consists of a three-level linkage system comprising a storage workshop, a transportation channel, and a waiting corridor. Its main function is to integrate space and control, transporting shared bicycles from underground to the ground. The entire device is sunken, adopting an economical design concept of "underground concealment - above-ground micro-disturbance." Therefore, only the storage workshop and the left side of the transportation channel in this module are above ground, offering advantages such as small footprint and high land utilization. When the device receives a retrieval command, the three-dimensional transfer system transports the parking platform to the coupling point with the waiting corridor. Subsequently, an adaptive electric crane completes the transportation of the bicycle from the parking platform to the waiting corridor. Then, the cantilever at the top of the waiting corridor undertakes the lateral transportation of the shared bicycle. Furthermore, the waiting corridor also serves as a temporary bicycle storage function. When the system receives a user instruction, the cantilever transports the shared bicycle to the transportation channel exit via a track connecting the waiting corridor and the transportation channel. Finally, the shared bicycle is placed in the storage workshop to await retrieval. Figure 5 As shown, the device can determine the number of storage and retrieval workshops based on the actual passenger flow at the station.

[0103] like Figure 6 As shown, system administrators can intuitively obtain basic information about each parking lot from this interface, such as the number of parking spaces, the number of vehicles available for dispatch, parking lot utilization rate, and activity level. Administrators can also directly obtain overall operational status of the entire area and real-time operational data summaries from this interface. Furthermore, this interface can provide administrators with relevant strategic suggestions based on data analysis results.

[0104] like Figure 7 As shown, the system of this invention employs the DBSCAN density clustering and spatial visualization algorithm. It obtains the results of car rental and return hotspot clustering analysis by connecting with user-end data and visualizes them on a 3D map. Through the hotspot clustering results, administrators can easily obtain car rental and return data for each parking lot, thereby determining whether a parking lot is located in a high-fitting hotspot area and making reasonable adjustments to the parking lot locations.

[0105] like Figure 8 As shown, the system of this invention statistically analyzes the distribution of POIs throughout the entire area and visualizes it on a 3D map. Managers can then clearly understand the distribution of facilities such as bus stops, subway stations, schools, shopping malls, tourist attractions, restaurants, and companies within the area, providing data support for setting parking lot locations and modifying operational decisions.

[0106] like Figure 9 As shown, the system of this invention monitors the borrowing and returning status of each bicycle in real time through cluster hotspot analysis, and projects the acquired data onto a 3D map in real time. Managers can use this interface to comprehensively control information such as the borrowing and returning status and popular parking lots for borrowing and returning bicycles.

[0107] like Figure 10 As shown, the system administrator of this invention can comprehensively control detailed data for each parking lot, such as surrounding facilities, real-time usage of individual vehicles, vehicle damage statistics, and comparisons of vehicle numbers across different platforms. In this interface, administrators can view congestion analysis for each parking lot and identify peak hours for each lot. During peak hours, staff can be dispatched in advance to manage vehicle traffic.

[0108] like Figure 11 As shown, the system of this invention statistically analyzes the distribution of Points of Interest (POIs) around each parking lot. In this interface, administrators can adjust parking areas based on the location of important locations such as shared bicycle service points, subway stations, scenic spots, and commercial areas around the parking lot, combined with the clustering distribution of bike rentals and returns.

[0109] like Figure 12 As shown, the system of this invention allows users to access functions such as parking lot search, parking record search, payment record search, merchant services, and advance booking. On this page, users can find nearby parking lots, book bicycles in advance directly on this interface, and save frequently used parking lots; they can also check parking records and payment records with one click. If users need other services, they can also contact merchants with one click on this interface.

[0110] like Figure 13 As shown, the system of this invention can intuitively view relevant information about parking lots and the remaining number of shared bicycles in the parking lot, and can also perform simple online operations on the vehicles. For example, users can use the software to lock and unlock the vehicles on their mobile phones, which is convenient for users to return the vehicles and for temporary parking. Considering the needs of nighttime driving, the software also allows users to adjust the vehicle lights on the software and grant relevant mobile phone permissions, integrating these settings into the page to facilitate users' travel planning.

[0111] like Figure 14As shown, the system of this invention can record the user's riding time and distance in real time, and estimate the final cost. After successful unlocking, the user can view information such as vehicle number, vehicle type, battery level, vehicle distance, and nearest repair date on this page. During the ride, the user can perform operations such as temporary parking and reporting faults on this page.

[0112] like Figure 15 As shown, this interface will be displayed after the user clicks to end the ride in the system of this invention. Users can directly view relevant data for this ride on this interface, such as riding time, distance, and cost. If users have any questions about the order, they can also file a complaint with one click on this interface.

[0113] like Figure 16 As shown, the system of this invention allows users to access functions such as order history, coupons, complaints, comments, and personal information settings. On this page, users can view their historical purchase records and available coupons. When users encounter problems related to vehicles or parking lots, they can click the complaint button below to contact customer service for resolution. Users can also change their profile picture and nickname in the settings.

[0114] like Figure 17 As shown, the system of this invention supports dynamic range search and is equipped with a 3D map system, which can solve users' needs for finding parking locations to pick up or return their vehicles. Users can customize the search for underground parking lots within a certain range. This software will provide users with information on surrounding parking lots, clearly marking the locations of parking spaces and providing the optimal route to the parking lot. Furthermore, during the journey, the map system also provides lane navigation, slope warnings, and prompts for shaded sections, providing users with the optimal route for single-vehicle use.

[0115] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A smart underground parking system for green shared bicycles, characterized in that, It consists of two modules: a hardware system and a software system. The hardware system is deployed underground and consists of a three-dimensional storage module and a transportation and storage module. The software system consists of a user-end applet and a management platform. The three-dimensional transfer module is used to realize high-density storage of shared bicycles in the underground storage area and efficient scheduling inside the circular track; The transport and storage module is used to transfer bicycles from the underground storage area to the ground in a timely and orderly manner for users to use; The user-facing mini-program is used to provide a one-stop service for travelers' slow-moving transportation needs; The management platform is used by administrators to manage and maintain shared bicycles.

2. The intelligent underground parking system for green shared bicycles according to claim 1, characterized in that, The three-dimensional transfer module is located in the underground storage area and adopts a multi-layered circular track design. It consists of an adaptive electric boom, a dynamic balancing parking platform, and a circular frame. It maintains the stable operation of shared bicycles by automatically adjusting the angle. Through the cooperation between the various components, it achieves high-density storage of shared bicycles and efficient scheduling within the circular track.

3. The intelligent underground parking system for green shared bicycles according to claim 1, characterized in that, The transportation and retrieval module adopts a three-level linkage conveying structure consisting of a retrieval workshop, a transportation channel, and a waiting corridor. Through the intelligent docking of the parking platform and the waiting corridor, and the firm combination of the snap-on frame and the electric crane, the shared bicycles are transported from the waiting corridor to the transportation channel and then to the retrieval workshop, so as to transfer the bicycles in the underground storage area to the ground in a timely and orderly manner for users to use.

4. The intelligent underground parking system for green shared bicycles according to claim 1, characterized in that, The user-side mini-program includes a map interface, an order interface, a cycling interface, and a personal center interface; The map interface uses GIS spatial information technology to realize the parking lot search function. Combined with the user's real-time location information, a weighted graph model is constructed based on the urban road network topology, and the Dijkstra algorithm is used to calculate the optimal navigation path from the user's current location to the parking lot entrance. The order interface records relevant data for each ride, making it easy for users to query historical orders; The cycling interface displays the vehicle's operating status, cycling time, and estimated cost in real time after scanning the code. It also supports temporary locking and fault reporting, making the user's cycling process fully transparent and facilitating refined management. The personal center interface includes functions such as order inquiry, consumption statistics, membership level management, coupon redemption and service feedback, providing users with a complete service loop from pre-trip planning, in-ride management to post-trip settlement, realizing efficient interaction between the underground bicycle dispatch system and users, making transportation more convenient and intelligent.

5. The intelligent underground parking system for green shared bicycles according to claim 4, characterized in that, The method used by the map interface to calculate the optimal navigation path from the user's current location to the parking lot entrance is as follows: Represent the road network as a graph ,in For a set of nodes, Given the set of edges, Dijkstra's algorithm is used to plan and calculate the path with the minimum comprehensive passage cost from the user's current location to the parking lot entrance, thereby generating the optimal navigation path from the user's current location to the parking lot entrance. The formula is as follows: In the formula and Let be the weight coefficient, and satisfy... The value range is [0,1]. This represents the actual walking distance between node i and node j. This indicates the estimated travel time for this section of road. and These are the normalized baseline values ​​for distance and time within the path search range, respectively.

6. The intelligent underground parking system for green shared bicycles according to claim 1, characterized in that, The management platform includes a homepage module, a data overview module, a real-time monitoring module, and a user management module; The homepage module includes a system function introduction, an overall operation overview, and current news reports, which makes it easy for managers to quickly understand the current overall status. The data overview module is used for statistical analysis of operational data, including vehicle usage, brand comparison, revenue statistics, and damage rate, to comprehensively present the operational situation and provide data support for subsequent decision-making. The real-time monitoring module uses the DBSCAN density clustering algorithm to perform thermal identification of shared bicycles, and combines the local underground pipeline conditions and feasibility to select parking lot locations. It also displays the specific borrowing and returning status of vehicles in different parking lots, as well as the parking situation around the parking lot and at the station. By integrating this monitoring data, managers can quickly and conveniently schedule and adjust parking lots. The user management module is used to analyze user behavior, including shared bicycle brand usage, parking location distribution, and user usage data.

7. A smart underground parking method for green shared bicycles, characterized in that, The intelligent underground parking system for skyscrapers according to any one of claims 1 to 6 includes a method for implementing a user-end applet and a method for implementing a management-end platform.

8. The intelligent underground parking method for green shared bicycles according to claim 7, characterized in that, The implementation method of the user-side mini-program includes the following steps: Step 1.1: The user opens the "Map" interface of the mini program, checks the location of nearby parking lots and vehicle status, arrives at the nearest parking lot according to the map instructions, opens the mini program to scan the QR code, and issues the vehicle retrieval instruction; Step 1.2: After receiving the instruction, the transport and storage module starts moving the dynamic parking platform along the circular track in the underground parking lot, so that the parking platform is precisely aligned with the waiting corridor; the adaptive electric boom moves to the waiting corridor and tightly engages with the snap-on frame to firmly hold the bicycle seat; the adaptive electric boom moves along the track on the transport channel to transport the bicycle to the storage workshop; the user takes the bicycle from the storage workshop and enters the riding page in the mini program; Step 1.3: If a user discovers a malfunction in the bicycle while riding, they can click "Report Fault" on the riding interface, cancel the trip, and reissue the bicycle retrieval command. Step 1.4: After completing the ride, the user clicks "Find Return Point" on the riding page and returns the bike to the nearest underground parking lot according to the navigation prompts; puts the bike in the storage and retrieval workshop and clicks "End Trip" on the riding interface; if the user has any questions about the order, they can click on the "Personal Center" interface in the mini program to check the order information; Step 1.5: After the bicycle is placed in the storage and retrieval workshop, the adaptive electric boom engages with the frame, and the circular track begins to operate, transporting the bicycle to the parking platform, thus completing the bicycle retrieval.

9. The intelligent underground parking method for green shared bicycles according to claim 7, characterized in that, The implementation method of the management platform includes the following steps: Step 2.1: The management platform connects to the "Order Interface" data in the user's mini-program backend to obtain basic data on bike usage and summarizes it on the management platform homepage. Administrators can quickly view the overall operation status and get a preliminary understanding of bike usage and retrieval by opening the management platform homepage. Step 2.2: The management platform uses algorithms to refine and classify all the data transmitted from the user-end mini-program, and summarizes it in the "Data Overview" interface of the management platform. By opening the "Data Overview" interface, the manager can clearly grasp the data on vehicle usage, revenue, and damage rate, and adjust the number of vehicles deployed and the riding price based on the data, and arrange for the repair of faulty vehicles in a timely manner. Step 2.3: The "Real-time Monitoring" interface of the management platform collects the location information used by the user's mini-program when borrowing and returning bikes. The DBSCAN density clustering algorithm is used to perform clustering hotspot analysis on the location information of borrowing and returning bikes. The administrator judges whether the site location is in the hotspot highly fitted area based on the hotspot analysis results, and adjusts the location of sites that deviate from the highly fitted area in a timely manner, and adds sites in the highly fitted area to realize intelligent scheduling of shared bikes. Step 2.4: The "User Management" interface of the management platform collects basic user information and user feedback information from the user-end mini-program, comprehensively compiles user characteristics and cycling hobby data, and uses the information in this interface to accurately draw user profiles, expand the user base in a targeted manner, and process user feedback in the "Personal Center" with one click through this interface to efficiently solve user problems and improve user experience.

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