A parking lot federation cross-lot credit-assisted payment system

Abstract

This invention discloses a cross-parking lot credit payment assistance system, belonging to the field of parking management technology. It includes a collaborative payment assistance platform for storing and managing vehicle information, parking records, payment records, and outstanding payment information for each parking lot within the alliance. The platform features a big data processing engine and an artificial intelligence analysis module, supporting vehicle behavior modeling, outstanding payment risk prediction, and dynamic payment assistance strategy generation, and also includes data encryption. By constructing a parking lot alliance and a collaborative payment assistance platform, this invention breaks down the information silos of traditional single parking management systems, achieving a collaborative parking fee collection mechanism across parking lots and operating platforms. The system can automatically identify historical outstanding payments and force payment reminders when a vehicle enters or exits any parking lot within the alliance, effectively improving the collection rate of outstanding payments on the road and in various parking scenarios, and solving the technical problem of effectively identifying and intercepting vehicles with outstanding payments across different parking lots.

Description

Technical Field

[0001] This invention relates to the field of parking management technology, and more specifically, to a cross-site credit payment assistance system for parking lot alliances. Background Technology

[0002] With the acceleration of urbanization and the continuous growth of motor vehicle ownership, the contradiction between parking resource supply and demand has become increasingly prominent, making parking management a crucial aspect of urban transportation operations. Currently, parking management systems are widely deployed in on-street parking and various public parking lots across the country. These systems primarily implement basic functions such as license plate recognition, time-based billing, and online payment, improving the automation level of parking management to some extent. Meanwhile, some cities have begun exploring integrated management of on-street and off-street parking, attempting to regulate parking order and improve parking resource utilization through technological means. However, existing parking management systems are still mainly built around single sites or single operating platforms, forming independent data silos and lacking cross-site and cross-platform information sharing and business collaboration mechanisms.

[0003] First, the existing system has significant shortcomings in terms of overdue payment collection. Due to the lack of data sharing and coordination mechanisms between parking lots, vehicles with outstanding fees can freely enter and exit different parking lots without being effectively identified or intercepted, resulting in a consistently low parking fee collection rate. When a vehicle incurs an outstanding fee at one parking lot, even if it enters another parking lot within the alliance, the existing system cannot automatically identify its outstanding status and take corresponding collection assistance measures. Overdue payment collection must rely on manual collection or post-event recovery, which is inefficient and costly. Second, at the business collaboration level, there is a lack of effective profit-sharing mechanisms and technical integration standards among different parking lot operators, making it difficult to form a joint effort to address the overdue payment problem. Even if some systems have license plate recognition and online payment functions, they are limited to use within their own parking lot and cannot achieve cross-park fee consolidation and real-time revenue sharing. Furthermore, they cannot support diversified business models such as entrusted collection and collaborative collection, severely restricting the integrated utilization of parking resources and the overall effectiveness of urban parking management.

[0004] Based on this, the present invention designs a cross-site credit payment assistance system for parking lot alliances to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide a cross-site credit payment assistance system for parking lot alliances to solve the problems mentioned in the background art.

[0006] A cross-site credit payment assistance system for parking lot alliances includes: The Linked Payment Assistance Platform is used to store and manage vehicle information, parking records, payment records, and outstanding payment information of various parking lots within the alliance. It has a big data processing engine and an artificial intelligence analysis module, supports vehicle behavior modeling, outstanding payment risk prediction, and dynamic payment assistance strategy generation, and has data encryption, access control, and real-time data synchronization functions. Multiple parking lot hardware facilities, each parking lot includes at least a license plate recognition integrated machine, a barrier gate and network transmission equipment. The license plate recognition integrated machine is used to collect vehicle license plate information and upload it to the linkage payment platform. The barrier gate is controlled by the linkage payment platform to control vehicle entry and exit. The aforementioned joint payment assistance platform is connected to the hardware facilities of each parking lot via a network, enabling AI-based arrears risk scoring and dynamic prompting strategies when vehicles enter the parking lot, intelligent billing and multi-strategy payment assistance processing when vehicles exit the parking lot, and supporting online payment and real-time data updates. The collaborative payment assistance platform also includes a vehicle owner profiling module and a credit parking module. The vehicle owner profiling module is used to collect and integrate vehicle payment records, arrears records, and multi-platform behavior data within and outside the alliance to generate vehicle credit assessment results. The credit parking module is used to generate credit collection strategies based on the credit assessment results. The credit collection strategies include: if the vehicle's arrears amount is lower than a preset threshold or the number of arrears is lower than a preset number, then collection will not be initiated; if the vehicle's arrears amount exceeds a preset threshold or there are arrears records on multiple other platforms, then high-frequency collection will be performed; if the vehicle's arrears amount exceeds a preset limit, then its re-entry into any parking lot within the alliance will be restricted.

[0007] Preferably, the linkage payment assistance platform also includes a debugging center, which is used to display the system operation status, user behavior data and parking lot linkage information; the display interface of the debugging center consists of a user information display area, a debugging center control area and a parking lot status display area from top to bottom, which are used to display the car owner behavior profile, system debugging parameters and the real-time operation status of each parking lot in the alliance, respectively.

[0008] Preferably, the linked payment assistance platform, based on the credit assessment results generated by the vehicle owner profile module, implements a delay control strategy when vehicles with outstanding fees exceeding a preset high threshold enter or exit the parking lot. The delay control strategy includes extending the gate response time, extending the voice prompt time, or extending the confirmation waiting time.

[0009] Preferably, the license plate recognition all-in-one machine integrates a high-definition camera, an edge AI license plate recognition chip, an LED display screen, and a voice broadcast module. It supports local lightweight neural network models for license plate recognition and confidence assessment, and can display personalized payment prompts or welcome messages generated by AI in real time.

[0010] Preferably, the linked payment platform also integrates an intelligent payment routing module, which supports dynamically selecting the optimal payment channel based on the vehicle owner's historical payment behavior, geographical location, and network status, and updates the vehicle status in real time and sends a release command to the gate after successful payment through an event-driven architecture.

[0011] Preferably, the collaborative payment assistance platform supports machine learning-based optimization of entrusted payment assistance strategies. By analyzing the historical trajectory, active time periods, and distribution of alliance parking lots of vehicles with outstanding fees, it constructs a payment assistance heat map and dynamically schedules outstanding orders to parking lots with a high probability of capture. The entrusting party pays a technical service fee based on the proportion of the successfully assisted payment amount.

[0012] Preferably, the collaborative payment assistance platform supports a collaborative payment assistance incentive mechanism and anti-fraud detection, records key payment assistance nodes through blockchain evidence storage technology, detects fraudulent payment assistance behavior using an abnormal behavior identification model, and dynamically allocates commissions based on the amount of successful payment assistance.

[0013] Preferably, the joint payment assistance platform supports a joint payment assistance scheme for social parking lots. It uses an intelligent merged payment engine to merge multiple outstanding orders with the current parking order for payment, and calls the real-time clearing interface of the bank or payment institution to complete the fund distribution. The platform only records the transaction flow and does not collect funds.

[0014] Preferably, when a vehicle enters or leaves the parking lot, if the linkage payment assistance platform detects that there is an outstanding fee or no payment, it controls the gate to remain closed, and judges the vehicle owner's willingness to pay and response time based on an AI prediction model, dynamically adjusts the prompt strategy and waiting time, and supports the edge gateway's local degradation gate opening mechanism to deal with network anomalies.

[0015] Preferably, the system also includes an intelligent vehicle detector, which uses ground inductive loop and millimeter-wave radar fusion sensing technology, combined with an edge target detection model, to achieve vehicle approach prediction, identification triggering and false triggering filtering, thereby improving the accuracy of license plate recognition and system response efficiency.

[0016] Compared with the prior art, the advantages of this invention are: 1. This invention breaks down the information silos of traditional single parking management systems by constructing a parking lot alliance and a joint payment assistance platform. It realizes a collaborative parking fee collection mechanism across parking lots and operating platforms. The system can automatically identify the historical arrears of vehicles when they enter or leave any parking lot in the alliance and force them to pay. This effectively improves the arrears collection rate on the road and in various parking scenarios and solves the technical problem that vehicles with arrears cannot be effectively identified and intercepted between different parking lots.

[0017] 2. This invention achieves unmanned overdue payment judgment, online payment and gate linkage control throughout the entire process of vehicle entry and exit by deeply integrating software and hardware and intelligent process design. The system integrates edge AI license plate recognition, intelligent payment routing and event-driven architecture, which greatly reduces the reliance on manual collection, reduces labor costs and operational errors, and significantly improves the operational efficiency and management intelligence level of parking lots.

[0018] 3. This invention supports multiple payment assistance modes (such as entrusted payment assistance and collaborative payment assistance) and joint payment assistance schemes (social parking lot alliance and cross-regional platform alliance), and integrates intelligent merged payment and real-time revenue sharing functions. This not only enhances the collaborative incentive and revenue sharing mechanism among alliance members, but also ensures the fairness of transactions through blockchain evidence storage and anti-fraud detection. At the same time, it provides car owners with an integrated and convenient payment experience, and promotes the integration of parking resources and the co-construction of the ecosystem.

[0019] 4. By adopting a real-time data synchronization and encrypted transmission mechanism, this invention ensures the secure sharing and timely updating of information such as vehicle arrears status and payment records among parking lots within the alliance. The system utilizes incremental synchronization and version number mechanisms to achieve highly consistent data synchronization, avoiding false interception or repeated reminders due to information lag. It also supports a local degradation and gate lifting mechanism for edge gateways in the event of a network outage, greatly improving the reliability of system operation and the experience of car owners.

[0020] 5. While improving the efficiency of toll collection, this invention enhances car owners' awareness of payment and the standardization of parking behavior by restricting the entry and exit of vehicles with outstanding fees and providing intelligent warnings. The system records and analyzes data such as vehicle entry, exit, and payment status, supporting big data analysis platforms to model parking behavior and manage urban traffic. This helps improve urban parking order, alleviate resource occupation problems caused by outstanding fees, and promote the overall improvement of urban traffic management. Attached Figure Description

[0021] Figure 1 This invention proposes a system connection for a cross-site credit payment assistance system for parking lot alliances. Figure 1 ; Figure 2 This invention proposes a system connection for a cross-site credit payment assistance system for parking lot alliances. Figure 2 ; Figure 3 This invention presents a flowchart of a cross-site credit payment assistance system for parking lot alliances. Figure 4 This is a flowchart illustrating the vehicle exit process of a cross-site credit payment assistance system for parking lot alliances proposed in this invention. Detailed Implementation

[0022] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Please see Figures 1-4 A cross-site credit payment assistance system for parking lot alliances includes: The Linked Payment Assistance Platform is used to store and manage vehicle information, parking records, payment records, and outstanding payment information of various parking lots within the alliance. It has a big data processing engine and an artificial intelligence analysis module, supports vehicle behavior modeling, outstanding payment risk prediction, and dynamic payment assistance strategy generation, and has data encryption, access control, and real-time data synchronization functions. The integrated payment assistance platform adopts a distributed microservice architecture, deployed in the cloud or private data center, supporting horizontal scaling and high-concurrency processing. The platform integrates an Elasticsearch storage engine for retrieving massive parking records, integrates Spark or Flink big data processing engines for real-time streaming computing, and combines TensorFlow or PyTorch to train AI models for vehicle behavior analysis and arrears prediction. The platform uses national cryptographic algorithms to encrypt sensitive data transmission, supports OAuth2.0 and RBAC access control mechanisms, and uses MQTT or WebSocket protocols to achieve data synchronization and control command distribution with parking lot equipment.

[0024] Multiple parking lot hardware facilities, each parking lot includes at least a license plate recognition integrated machine, a barrier gate and network transmission equipment. The license plate recognition integrated machine is used to collect vehicle license plate information and upload it to the joint payment platform. The barrier gate is controlled by the joint payment platform to control vehicle entry and exit. The interconnected payment assistance platform is connected to the hardware facilities of each parking lot via the network, enabling AI-based risk scoring and dynamic prompts when vehicles enter the parking lot, intelligent billing and multi-strategy payment assistance when vehicles leave the parking lot, and supports online payment and real-time data updates. The joint payment assistance platform also includes a vehicle owner profiling module and a credit parking module. The vehicle owner profiling module is used to collect and integrate vehicle payment records, arrears records and multi-platform behavior data inside and outside the alliance to generate vehicle credit assessment results. The credit parking module is used to generate credit collection strategies based on credit assessment results. The credit collection strategies include: if the vehicle's outstanding amount is lower than a preset threshold or the number of outstanding payments is lower than a preset number, collection will not be initiated temporarily; if the vehicle's outstanding amount exceeds a preset threshold or there are outstanding payment records on multiple other platforms, high-frequency collection will be executed; if the vehicle's outstanding amount exceeds a preset limit, it will be restricted from entering any parking lot within the alliance again.

[0025] The joint payment assistance platform also includes a debugging center, which is used to display the system's operating status, user behavior data, and parking lot linkage information. The debugging center's display interface, from top to bottom, consists of a user information display area, a debugging center control area, and a parking lot status display area, which are used to display the car owner's behavior profile, system debugging parameters, and the real-time operating status of each parking lot in the alliance, respectively.

[0026] Based on the credit assessment results generated by the vehicle owner profile module, the joint payment assistance platform implements a delay control strategy when vehicles with outstanding fees exceeding a preset high threshold enter or leave the parking lot. The delay control strategy includes extending the gate response time, extending the voice prompt time, or extending the waiting confirmation time.

[0027] The license plate recognition all-in-one machine integrates a high-definition camera, an edge AI license plate recognition chip, an LED display screen, and a voice broadcast module. It supports local lightweight neural network models for license plate recognition and confidence assessment, and can display personalized payment prompts or welcome messages generated by AI in real time.

[0028] The license plate recognition all-in-one machine features a built-in embedded Linux system, equipped with an NPU or GPU acceleration chip, and runs a lightweight convolutional neural network (such as MobileNet-YOLO or LPRNet), supporting local real-time license plate recognition and confidence scoring. The LED display supports customizable templates, and the voice module supports multilingual broadcasting. The device communicates with the platform via 4G / 5G or Ethernet, supporting offline data transmission resumption and local caching of recognition records.

[0029] The joint payment platform also integrates an intelligent payment routing module, which supports dynamically selecting the optimal payment channel based on the vehicle owner's historical payment behavior, geographical location, and network status. After successful payment, it updates the vehicle status in real time through an event-driven architecture and sends a release instruction to the gate.

[0030] The payment routing module integrates SDKs for multiple payment channels (WeChat, Alipay, UnionPay QuickPass, etc.) and trains XGBoost or LightGBM models based on features such as historical payment success rates, user profiles, and network latency to dynamically recommend the optimal payment method. After a successful payment, the platform triggers a state update through an event-driven mechanism and employs a CQRS architecture to separate the read and write models, ensuring that gate commands are issued in real time.

[0031] The joint payment assistance platform supports machine learning-based optimization of entrusted payment assistance strategies. By analyzing the historical trajectory, active time periods, and distribution of alliance parking lots of vehicles with outstanding fees, it constructs a payment assistance heat map and dynamically schedules outstanding orders to parking lots with a high probability of being captured. The client pays a technical service fee based on the proportion of the successfully assisted payment amount.

[0032] The collaborative payment assistance platform supports a collaborative payment assistance incentive mechanism and anti-fraud detection. It records key payment assistance nodes through blockchain evidence storage technology and uses an abnormal behavior identification model to detect fraudulent payment assistance behavior, dynamically allocating commissions based on the amount of successful payments.

[0033] The joint payment assistance platform supports joint payment assistance solutions for social parking lots. Through an intelligent merged payment engine, it combines multiple outstanding orders with the current parking order for payment and calls the real-time clearing interface of banks or payment institutions to complete the fund distribution. The platform only records the transaction flow and does not collect funds.

[0034] When a vehicle enters or leaves the parking lot, if the system detects that a fee is overdue or unpaid, it will keep the gate closed. Based on an AI prediction model, it will determine the vehicle owner's willingness to pay and the response time, and dynamically adjust the prompt strategy and waiting time. It also supports a local degradation gate-lifting mechanism at the edge gateway to deal with network anomalies.

[0035] The system also includes an intelligent vehicle detector, which uses a fusion sensing technology of inductive loop and millimeter-wave radar, combined with an edge target detection model, to achieve vehicle approach prediction, identification triggering and false triggering filtering, thereby improving the accuracy of license plate recognition and the system response efficiency.

[0036] In actual operation, this invention mainly includes a vehicle entry process and a vehicle exit process, as detailed below: Vehicle entry process: 1. Vehicle detection and triggering When a vehicle enters the parking lot entrance, the intelligent vehicle detector (which combines ground inductive loop and millimeter-wave radar) senses the approach of the vehicle and triggers the license plate recognition integrated machine to start working.

[0037] 2. License Plate Recognition and Uploading The license plate recognition all-in-one machine captures vehicle images through a built-in high-definition camera and uses an edge AI chip to run a lightweight neural network model for real-time license plate recognition. The recognition results (license plate number, confidence level, etc.) are uploaded to the joint payment assistance platform via an encrypted network.

[0038] 3. Credit Assessment and Risk Judgment After receiving the license plate information, the joint payment assistance platform calls the vehicle owner profile module to obtain the vehicle's payment records, outstanding payment records, and credit score both within and outside the alliance and on multiple platforms. If the vehicle has only a small amount of outstanding payment (e.g., 1-2 yuan) or a few outstanding payments (e.g., 1-2 times), the credit parking module marks it as a low-risk vehicle, and no collection will be initiated, allowing the vehicle to enter the parking lot normally. If the vehicle has a large amount of outstanding payment (e.g., more than 300 yuan) or outstanding payment records on multiple platforms, it is marked as a high-risk vehicle.

[0039] 4. Dynamic strategy generation and on-site prompts For high-risk vehicles, the platform dynamically generates collection strategies based on the amount owed, credit score, and the vehicle owner's historical behavior. If the amount owed exceeds a preset limit (e.g., 1000 yuan), the system records its risk status and restricts its re-entry into any parking lot within the alliance. For vehicles with outstanding amounts exceeding a high threshold (e.g., 300 yuan), the platform implements a delay control strategy, extending the gate response time, voice prompt time, or confirmation waiting time to more than 30 seconds, and displays the outstanding information and payment instructions to the vehicle owner through an LED display and voice broadcast module.

[0040] 5. Online payment and status update Car owners complete online payments by scanning a QR code. After successful payment, the platform updates the vehicle's outstanding payment status and credit profile in real time using an event-driven architecture, and triggers the gate opening command.

[0041] 6. Exception handling mechanism If there is a network anomaly or the platform response times out, the edge gateway will automatically activate the local degradation mode and execute the gate opening logic based on the cached blacklist and whitelist to ensure passage efficiency.

[0042] Vehicle exit process 1. Vehicle exit triggering and recognition When a vehicle approaches the exit, the intelligent vehicle detector at the exit triggers the license plate recognition integrated machine to start, collect and recognize the license plate information in real time, and upload it to the joint payment assistance platform.

[0043] 2. Fee Calculation and Outstanding Payment Consolidation The joint payment platform calculates the parking fee based on the vehicle's entry and exit times, and simultaneously checks the vehicle's outstanding fees both within and outside the alliance to generate a combined payment order.

[0044] 3. Credit assessment and implementation of intelligent payment assistance strategies The platform uses the vehicle owner profile module to assess the vehicle's credit status. If the vehicle has no outstanding fees or the outstanding amount is below the low-risk threshold, the platform directly sends a release instruction. If the vehicle has outstanding fees, the platform implements a differentiated collection strategy based on the outstanding amount, credit score, and outstanding fees records from multiple platforms: for vehicles with high outstanding amounts (e.g., exceeding 300 yuan), a delay control strategy is implemented, extending the gate response time to more than 30 seconds, and guiding the vehicle owner to scan a code to pay through LED screens and voice announcements.

[0045] 4. Consolidated payments and real-time revenue sharing Car owners complete the combined payment by scanning a code. The platform calls the intelligent payment routing module to select the optimal payment channel. After the payment is successful, the funds are distributed to the relevant parking lot accounts through the real-time clearing interface.

[0046] 5. Status synchronization and release After successful payment, the platform updates the vehicle's payment status and credit profile in real time and sends a release instruction to the gate.

[0047] 6. Abnormal scenario handling If the vehicle owner refuses to pay or fails to pay within the time limit, the platform will record the abnormal behavior and update the credit model, keep the gate closed, and trigger manual intervention if necessary.

[0048] The joint payment assistance platform supports multiple payment assistance modes, including: Outsourced Payment Collection Model: Parking platforms join the alliance of parking lots they manage and entrust all outstanding payment orders to the joint payment collection platform for unified processing. The entrusting party pays a certain percentage (e.g., 30%-50%) of the amount of each successfully collected order as a technical service fee.

[0049] Collaborative Payment Assistance Model: After joining the alliance, parking platforms can assist in processing overdue orders from other parking lots within the alliance and receive a corresponding percentage of the successfully recovered amount as a payment assistance commission.

[0050] Joint payment assistance program: This includes joint payment assistance for public parking lots and joint payment assistance for parking platforms across regions. When the driver leaves the parking lot, the system can combine the outstanding parking order with the current parking order for payment and achieve real-time billing, improving collection efficiency and driver experience.

[0051] Working principle of the invention: This invention achieves closed-loop management of collaborative parking fee collection across parking lots and operating platforms by constructing a parking lot alliance and a joint payment assistance platform. The system, centered on real-time data synchronization, AI-powered intelligent decision-making, and automated control, integrates the hardware facilities (license plate recognition units, barriers, vehicle detectors, etc.) and data resources of various parking lots within the alliance, forming a unified network for vehicle behavior recognition and fee processing.

[0052] During vehicle entry, the system combines edge-based license plate recognition with platform-based overdue payment queries to determine in real time whether a vehicle has any historical outstanding payments. Based on an overdue payment risk score generated by an AI model and the vehicle owner's profile, the system dynamically adjusts its prompts to guide the owner to pay online or enter normally. During vehicle exit, the system automatically calculates the parking fee for the current session, merges historical overdue orders, generates a consolidated payment plan, and after the owner completes payment by scanning a QR code, the platform distributes the revenue in real time and triggers the gate to release the vehicle.

[0053] The integrated payment assistance platform incorporates a big data processing engine and an artificial intelligence analysis module, supporting functions such as vehicle behavior modeling, arrears risk prediction, and dynamic payment assistance strategy generation. It also utilizes blockchain notarization and abnormal behavior recognition models to ensure the fairness and security of the payment assistance process. The platform supports various payment assistance models, including entrusted payment assistance, collaborative payment assistance, joint payment assistance with social parking lots, and cross-regional platform joint payment assistance, meeting the business needs of different operators and improving the efficiency of arrears collection and the payment experience for car owners.

[0054] Through deep integration of software and hardware and intelligent process design, this invention realizes unmanned, automated and collaborative parking management, effectively solves the problems of information isolation and difficulty in tracing in traditional systems, and promotes the intelligent upgrade of urban parking management.

[0055] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cross-site credit-based payment assistance system for parking lot alliances, characterized in that, include: The Linked Payment Assistance Platform is used to store and manage vehicle information, parking records, payment records, and outstanding payment information of various parking lots within the alliance. It has a big data processing engine and an artificial intelligence analysis module, supports vehicle behavior modeling, outstanding payment risk prediction, and dynamic payment assistance strategy generation, and has data encryption, access control, and real-time data synchronization functions. Multiple parking lot hardware facilities, each parking lot includes at least a license plate recognition integrated machine, a barrier gate and network transmission equipment. The license plate recognition integrated machine is used to collect vehicle license plate information and upload it to the linkage payment platform. The barrier gate is controlled by the linkage payment platform to control vehicle entry and exit. The aforementioned joint payment assistance platform is connected to the hardware facilities of each parking lot via a network, enabling AI-based arrears risk scoring and dynamic prompting strategies when vehicles enter the parking lot, intelligent billing and multi-strategy payment assistance processing when vehicles exit the parking lot, and supporting online payment and real-time data updates. The joint payment assistance platform also includes a vehicle owner profile module and a credit parking module. The vehicle owner profile module is used to collect and integrate vehicle payment records, arrears records and multi-platform behavior data inside and outside the alliance to generate vehicle credit assessment results. The credit parking module is used to generate a credit collection strategy based on the credit assessment results. The credit collection strategy includes: if the vehicle's outstanding amount is lower than a preset threshold or the number of outstanding payments is lower than a preset number, then collection will not be initiated; if the vehicle's outstanding amount exceeds a preset threshold or there are outstanding payment records on multiple other platforms, then high-frequency collection will be performed; if the vehicle's outstanding amount exceeds a preset limit, then it will be restricted from entering any parking lot within the alliance again.

2. The parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The joint payment assistance platform also includes a debugging center, which is used to display the system's operating status, user behavior data, and parking lot linkage information. The display interface of the debugging center consists of a user information display area, a debugging center control area, and a parking lot status display area from top to bottom, which are used to display the car owner's behavior profile, system debugging parameters, and the real-time operating status of each parking lot in the alliance, respectively.

3. The parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The linked payment assistance platform, based on the credit assessment results generated by the vehicle owner profile module, implements a delay control strategy when vehicles with outstanding fees exceeding a preset high threshold enter or exit the parking lot. The delay control strategy includes extending the gate response time, extending the voice prompt time, or extending the confirmation waiting time.

4. The parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The license plate recognition all-in-one machine integrates a high-definition camera, an edge AI license plate recognition chip, an LED display screen, and a voice broadcast module. It supports local lightweight neural network models for license plate recognition and confidence assessment, and can display personalized payment prompts or welcome messages generated by AI in real time.

5. A parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The linked payment platform also integrates an intelligent payment routing module, which supports dynamically selecting the optimal payment channel based on the vehicle owner's historical payment behavior, geographical location, and network status. After successful payment, it updates the vehicle status in real time through an event-driven architecture and sends a release command to the gate.

6. A cross-site credit payment assistance system for parking lot alliances according to claim 1, characterized in that, The aforementioned collaborative payment assistance platform supports machine learning-based optimization of entrusted payment assistance strategies. By analyzing the historical trajectories, active periods, and distribution of alliance parking lots of vehicles with outstanding fees, it constructs a payment assistance heatmap and dynamically schedules outstanding orders to parking lots with a high probability of capture. The entrusting party pays a technical service fee based on the proportion of the successfully assisted payment amount.

7. A parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The collaborative payment assistance platform supports a collaborative payment assistance incentive mechanism and anti-fraud detection. It records key payment assistance nodes through blockchain evidence storage technology and uses an abnormal behavior identification model to detect fraudulent payment assistance behavior, and dynamically allocates commissions based on the amount of successful payment assistance.

8. A cross-site credit payment assistance system for parking lot alliances according to claim 1, characterized in that, The aforementioned joint payment assistance platform supports joint payment assistance schemes for social parking lots. It uses an intelligent merged payment engine to combine multiple outstanding orders with the current parking order for payment, and calls the real-time clearing interface of banks or payment institutions to complete the fund distribution. The platform only records the transaction flow and does not collect funds.

9. A parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, When a vehicle enters or leaves the parking lot, if the system detects that a fee is overdue or unpaid, it will keep the gate closed. Based on an AI prediction model, it will determine the vehicle owner's willingness to pay and the response time, and dynamically adjust the prompt strategy and waiting time. It also supports a local degradation gate-lifting mechanism at the edge gateway to deal with network anomalies.

10. A parking lot alliance cross-site credit payment assistance system according to claim 1, characterized in that, The system also includes an intelligent vehicle detector, which uses a fusion sensing technology of inductive loop and millimeter-wave radar, combined with an edge target detection model, to achieve vehicle approach prediction, identification triggering and false triggering filtering, thereby improving the accuracy of license plate recognition and system response efficiency.

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