A multi-dimensional data acquisition and efficient management system for a delivery cabinet

Abstract

The application discloses a multi-dimensional data acquisition and efficient management system for a delivery cabinet, relates to the technical field of information management of terminal distribution of logistics, and comprises a multi-dimensional data acquisition module, a data standardization preprocessing module, a grid resource intelligent scheduling module, a user full-process interactive management module, a logistics system data interaction synchronization module, a device operation state real-time monitoring module, an operation data statistical analysis module, a hierarchical permission management module, an abnormal event intelligent disposal module and a full-process data encryption storage module. The multi-dimensional data acquisition module acquires full-dimensional data of operation of the delivery cabinet in real time, and the remaining modules sequentially complete data standardization processing, grid intelligent scheduling, user interactive management, logistics data synchronization, device operation monitoring, operation data analysis, hierarchical permission management and control, abnormal event disposal and full-process data encryption storage. The application can greatly improve the utilization efficiency and operation management efficiency of grid resource of the delivery cabinet, optimize the service experience of users for sending and receiving parcels, shorten the disposal period of device faults and reduce operation and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of last-mile delivery information management technology, and in particular to a multi-dimensional data collection and efficient management system for express delivery lockers. Background Technology

[0002] With the continuous development of the e-commerce industry, the volume of express delivery business has shown a rapid year-on-year growth trend. As a core node of last-mile logistics delivery, express lockers have become the core carrier for solving the last-mile problem of express delivery, and have achieved widespread coverage in communities, office buildings, campuses, and industrial parks. Currently, most mainstream express locker management systems can only achieve basic functions such as locker control, package pickup code generation, and waybill information entry. At the data collection level, they suffer from problems of single-dimensionality and scattered data sources, failing to achieve unified collection and aggregation of multi-dimensional data throughout the entire express locker operation process. The collected multi-source heterogeneous data lacks standardized preprocessing procedures, resulting in insufficient data validity and consistency, and failing to provide reliable data support for subsequent operation and management. At the same time, the existing systems' locker resource scheduling can only achieve basic locker occupancy and release control, unable to achieve intelligent matching and dynamic optimization of locker resources based on package specifications, usage time, and site type. The problems of locker resource mismatch and idleness are prominent, with a large number of locker resources not being fully utilized, directly affecting the operational efficiency and profitability of express lockers.

[0003] Existing express locker management systems have significant shortcomings in user service and operational management. The user pickup process lacks sufficient intelligence, failing to provide differentiated services based on user behavior characteristics. Issues such as failed pickups and overdue packages cannot be handled quickly, resulting in inconsistent user service experiences. The systems also lack sufficient operational data statistical analysis capabilities, failing to achieve multi-dimensional and refined operational indicator statistics, and unable to quantitatively evaluate and benchmark the operational efficiency of stations. Adjustments to operational strategies rely on manual experience, lacking accurate data support. Equipment maintenance management remains primarily on-site and post-incident handling, unable to achieve real-time monitoring of equipment operating status and fault prediction. Fault handling cycles are long, maintenance costs are high, and long-term stable operation of equipment cannot be effectively guaranteed. Furthermore, with the continuous improvement of regulations related to personal information protection, the requirements for user personal information security and data compliance management are constantly increasing. Most existing systems lack a full-process data security control and compliance management system. The entire process of user data collection, storage, and use cannot meet compliance management requirements, posing data leakage and compliance risks.

[0004] Existing parcel locker management systems lack the capacity for large-scale operation and management. For multi-site cluster management within the same area, they can only achieve basic data aggregation and display, failing to enable cross-site coordinated scheduling of locker resources and unified allocation of maintenance resources. This results in low management efficiency for large-scale multi-site operations and hinders effective resource utilization. Furthermore, the functions of existing parcel locker systems are limited to temporary storage services for last-mile deliveries, with a single operational scenario and profit model. They cannot expand into diversified value-added services tailored to community needs, failing to fully realize the value of parcel lockers as a core traffic entry point in communities and making it difficult to adapt to the industry trend of extending last-mile logistics to comprehensive community convenience services. With the continuous growth of express delivery volume and the upgrading of user service demands, existing parcel locker management systems can no longer meet the core needs of refined, intelligent, and large-scale operation of last-mile logistics. There is an urgent need for a parcel locker management system with multi-dimensional data collection, intelligent resource scheduling, refined operation management, and full-process security control capabilities to improve the quality and efficiency of last-mile logistics delivery services. Summary of the Invention

[0005] This invention proposes a multi-dimensional data collection and efficient management system for express delivery lockers to solve the problems mentioned in the prior art, such as single data collection, inefficient locker scheduling, insufficient intelligent user services, lagging equipment operation and maintenance, lack of data compliance, extensive management of multiple sites, and limited value-added services.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a multi-dimensional data collection and efficient management system for express delivery lockers, comprising: The multi-dimensional data acquisition module, through the various types of sensing units, interactive terminals, lock control units, and payment units built into the express cabinet, collects real-time operational data on all dimensions, including the occupancy status of the locker, package waybill information, user operation behavior, environmental parameters inside the cabinet, equipment hardware operating parameters, and payment transaction data, thus completing the initial aggregation and temporary storage of raw data. The data standardization preprocessing module performs data cleaning, deduplication verification, format unification, and field completion standardization processing on the collected multi-source heterogeneous data, removes invalid and abnormal data, and outputs a standardized operational dataset with a unified format. The intelligent scheduling module for compartment resources, based on standardized operational datasets and combined with data on package volume and weight, compartment specifications, and usage frequency, intelligently matches the optimal compartment resources and dynamically adjusts the compartment usage rules to achieve efficient scheduling and maximum utilization of compartment resources. The user full-process interaction management module connects to the express cabinet interactive terminal to complete the full-process interaction management of user identity verification, package sending and receiving operation guidance, information query, and service consultation, and pushes operation node notification information synchronously. The logistics system data interaction and synchronization module connects to the logistics management systems of major express companies and the transaction systems of e-commerce platforms through standardized interfaces, synchronizing the entire chain data of waybills in real time and updating the logistics status of parcels. The real-time equipment operation status monitoring module collects the operating parameters of the main control unit, locking system, interactive screen, power module, and communication unit of the express cabinet in real time, monitors the equipment operation status, and identifies abnormal hardware signals. The operation data statistical analysis module, based on full standardized operation data, completes statistical analysis of operation indicators by time period, site area, and equipment number, and automatically generates visualized operation reports and trend analysis results. The hierarchical access control module configures differentiated system access and operation permissions according to the role levels of system administrators, site maintenance personnel, couriers, and ordinary users, and sets up a multi-factor authentication mechanism. The intelligent handling module for abnormal events, based on preset abnormal handling rules, identifies events such as overdue packages, failed pickups, locker malfunctions, and payment anomalies, automatically triggers corresponding handling processes, and pushes abnormal warning information. The end-to-end data encryption storage module encrypts all operational, user, and transaction data generated throughout the system process, establishes a full operation audit log, and enables full traceability of data operations.

[0007] Furthermore, it also includes a grid resource dynamic optimization and configuration module. This module dynamically optimizes and adjusts the allocation strategy for grids of different specifications based on historical site operation data and real-time grid usage status, and introduces a formula for calculating the comprehensive utilization rate of grid resources: ; in To improve the comprehensive utilization rate of express delivery locker compartment resources, The effective usage time of the i-th grid is... The total duration of the statistical period. Let i be the specification weighting coefficient for the i-th grid. This refers to the total number of compartments in the express delivery locker. The number of orders whose packages successfully match the compartment specifications. To calculate the total number of orders within the statistical period, Weighted by the utilization rate of the grid time. As a weight for specification matching, ω1+ω2=1, the utilization efficiency of locker resources is quantitatively evaluated through the calculation formula of locker resource comprehensive utilization rate, providing a quantitative basis for the dynamic optimization of locker allocation strategy. At the same time, the locker reservation rules are dynamically adjusted in combination with the daily peak and off-peak periods of locker entry and retrieval. Large-sized lockers are reserved in advance during the morning peak hours for couriers to enter the lockers, and idle reserved lockers are released during the evening peak hours for users to retrieve their packages. Differentiated locker configurations are matched with the user profiles of the stations. Temperature-controlled lockers are reserved for fresh food packages at community stations, and small lockers for document packages are added at office building stations. Temporary merging and scheduling of adjacent idle lockers are supported to meet the locker entry needs of large packages, continuously improving the overall utilization efficiency of locker locker resources.

[0008] Furthermore, it also includes a user pickup timeliness intelligent optimization module. This module constructs a user pickup behavior profile based on historical pickup behavior data, package entry time, and user location information. It pushes differentiated pickup reminders according to user type, such as sending reminders to working users before they leave work, sending reminders to home users during daytime hours, and simultaneously sending alerts on the temperature and humidity status inside the locker for fresh and cold chain packages. It intelligently predicts the risk of packages exceeding their expiration date and triggers multi-level warnings for packages with a high probability of exceeding their expiration date. It also provides users with a scheduled pickup service, locking the corresponding locker within the scheduled time period, limiting the exclusive usage rights of the scheduled user, and allowing users to adjust the temporary storage time of packages. It automatically triggers intelligent assistance processes for pickup failure scenarios. When a user enters the pickup code incorrectly multiple times, it automatically pushes a remote assistance entry and simultaneously pushes alternative pickup solutions, shortening the average pickup time for users, improving the user's package delivery and pickup service experience, and reducing the proportion of overdue packages occupying locker resources.

[0009] Furthermore, it also includes a site operation comprehensive efficiency evaluation module. This module, based on comprehensive operational data of the express locker sites, quantitatively evaluates and ranks the overall operational efficiency of the sites, and introduces a site operation comprehensive efficiency scoring formula: ; in The overall operational efficiency of express delivery locker stations is scored. For the turnover rate of the station grid, To ensure the uptime of site equipment, The average pickup time for users, Rate user service satisfaction. This is the weighting coefficient for grid turnover rate. This is the weighting coefficient for equipment uptime. This is the weighting coefficient for the timeliness of package pickup. The system uses a user satisfaction weighting coefficient, α+β+γ+δ=1, to achieve horizontal comparison and vertical tracking of the operational efficiency of different sites through a comprehensive site operation efficiency score calculation formula. It also supports refined efficiency evaluation by time period, separately calculates specific efficiency indicators for peak locker entry and pickup periods, sets a correction coefficient for the impact of abnormal events on efficiency scores, and completes classification benchmarking analysis based on site type, distinguishing different evaluation standards for community sites, office building sites, and campus sites. It automatically pushes operational optimization suggestions to sites with continuously declining scores, and dynamically adjusts the weighting coefficient based on seasonal traffic fluctuations during e-commerce promotions. This provides precise quantitative support for adjusting site operation strategies and allocating operation and maintenance resources, enabling refined operation management of express locker sites.

[0010] Furthermore, the system includes a full-process management module for courier operations. This module connects to the courier's mobile application to manage the entire process, including courier identity verification, locker access control, batch locker entry guidance, abnormal package handling, and operational data statistics. It supports couriers uploading their daily waybill data in advance. The system pre-reserves matching locker slots based on waybill and package information, eliminating situations where couriers arrive at the locker without available slots. It dynamically adjusts locker quotas based on the daily delivery volume of each courier company, temporarily increasing the available slot ratio for companies with high daily delivery volumes. During the locker entry process, it automatically matches and verifies waybill information with recipient information, intercepting locker entries with mismatched information. It separately marks and provides special reminders for damaged, cash-on-delivery, and perishable packages. It synchronously records the entire locker entry process data, quantitatively evaluates courier operational efficiency, and automatically generates operational reports. When a station's lockers are full, it automatically recommends available lockers from neighboring stations, enabling cross-site locker resource scheduling, standardizing the courier locker entry process, and significantly improving courier locker entry efficiency.

[0011] Furthermore, it also includes a multi-scenario payment and settlement management module. This module connects to mainstream payment channels to manage the entire payment process, including calculating shipping fees, collecting overdue usage fees, and settling value-added service fees. It supports multiple payment methods such as online payment, facial recognition payment, and QR code payment. It sets tiered overdue billing rules and applies differentiated billing standards based on the length of time a package is overdue. It also supports multiple payment models, including monthly membership billing and unified settlement by courier companies. It can connect with courier companies to achieve combined settlement of shipping fees and overdue fees. It automatically triggers a fee reduction process for pickup delays caused by locker malfunctions or system anomalies. In the case of shipping, it automatically calculates the optimal price based on the package volume, weight, and destination. It automatically completes transaction reconciliation data verification with courier companies and payment channels. It triggers real-time interception and automatic refund processes for risky transactions such as duplicate payments and abnormal amount payments. After the transaction is completed, it automatically issues and pushes electronic invoices, realizing closed-loop management of the entire payment transaction process and ensuring the accuracy and security of payment transactions.

[0012] Furthermore, it also includes a remote equipment operation and maintenance management module. This module connects to the main control unit of the express cabinet via a wireless communication network, uploads equipment operating status and fault information in real time, and receives remote operation and maintenance instructions. It completes remote configuration of equipment parameters, remote program upgrades, and remote troubleshooting and handling of faults. Based on historical equipment operating data, it builds a fault prediction model and identifies fault risks in the locking unit, power module, and communication unit in advance through trend analysis. It pushes preventive operation and maintenance reminders and automatically completes operation and maintenance dispatch based on the fault site location, real-time location of operation and maintenance personnel, and fault level. It matches the nearest operation and maintenance personnel to handle the fault, records the entire operation and maintenance process data, and automatically generates operation and maintenance reports. It supports batch gray-scale upgrades of equipment firmware, completing the upgrade verification of pilot sites before full rollout, eliminating the risk of batch upgrade faults. At the same time, it realizes intelligent control of equipment energy consumption, automatically switches to low-power mode during off-peak hours at night, and quickly wakes up when user operation is detected. It connects to the temperature and humidity sensing unit inside the cabinet and automatically starts the ventilation control module when environmental parameters exceed the standard. Routine equipment operation and maintenance work can be completed without on-site operation by operation and maintenance personnel, which significantly reduces equipment operation and maintenance costs and shortens fault handling time.

[0013] Furthermore, it also includes a community value-added service expansion module. This module, based on the express delivery locker interactive terminal and user operation data, provides value-added services such as community group buying, utility bill payment, community announcements, and housekeeping services. It accurately pushes convenient service content based on user parcel delivery and pickup behavior profiles. It also provides information dissemination and temporary storage services for the exchange of idle community items, enabling contactless transfer of idle items through express delivery locker compartments. It connects to the community emergency management system to set up temporary storage compartments for emergency supplies, achieving standardized temporary storage and rapid retrieval of emergency medicines and flood control materials. It connects to the community property management system to achieve service linkage for property fee payment and access control authorization. It connects to direct supply channels from farmers to open a self-pickup service for fresh agricultural products, enabling temperature-controlled temporary storage and user self-pickup of fresh products through express delivery lockers. It also opens a recycling appointment service, allowing users to make online appointments for recycling personnel to complete the handover of recycled items and user points redemption through the express delivery lockers. This expands the express delivery locker's function from a last-mile logistics node to a community convenience service center, enriching the express delivery locker's operating scenarios and profit models.

[0014] Furthermore, it also includes a data security compliance management module. Based on the relevant regulations on personal information protection, this module constructs a compliance management system for the entire lifecycle of user data. It manages user personal information and transaction data in a hierarchical and categorized manner, implements higher-level encryption processing and access control for sensitive personal information, clearly informs users of the purpose and scope of data collection during the data collection process, and only performs data collection operations after obtaining explicit authorization from users. It sets up an automated user personal information rights response mechanism, supports the automatic processing and feedback of users' online requests for querying, copying, correcting, and deleting personal information, sets up strict cross-border data transmission control rules to prohibit the illegal cross-border transmission of user personal information, regularly and automatically performs data compliance self-checks and generates compliance audit reports, and constructs a data leakage emergency response mechanism. When a data leakage risk is detected, it automatically triggers data locking, risk warning, and full-chain tracing and investigation processes. It sets up special protection rules for the personal information of minors, implements stricter information collection and use control standards, and ensures that the entire process of user data collection, storage, use, and destruction complies with relevant regulations, thereby avoiding data compliance risks.

[0015] Furthermore, it also includes a multi-site cluster management module. This module supports centralized and unified management of multiple parcel locker sites within the same area, incorporating all parcel locker slots in the area into a unified resource pool for pooled management. It enables unified scheduling and allocation of slot resources across sites, allowing users to select any available slot at any site within the area when sending or receiving parcels. A regional operation and maintenance resource pool is established, and operation and maintenance personnel and spare parts resources are uniformly allocated based on the fault status and operation and maintenance needs of each site. A centralized monitoring screen for regional operations is built, displaying the real-time operational status, equipment operating status, and progress of abnormal event handling for all sites within the area. It supports batch configuration of operational strategies for all sites within the area, allowing for unified setting of billing rules, slot allocation rules, and operation and maintenance management rules. It also allows for the configuration of specific rules for individual sites, achieving unified management of user data within the area and ensuring consistent service experience for users at any site within the area. Based on historical traffic data, it enables advance scheduling of regional resources during peak e-commerce promotion periods, adjusting slot quotas and operation and maintenance personnel schedules at each site in advance. Simultaneously, it completes unified statistics on energy consumption of all equipment within the area and batch distributes optimization strategies, significantly improving the management efficiency and resource utilization efficiency of large-scale multi-site operations.

[0016] Compared with existing technologies, the beneficial effects of this invention are: This invention utilizes a multi-dimensional data acquisition module and a data standardization preprocessing module to achieve unified collection and standardized processing of multi-source heterogeneous data throughout the entire operation process of express lockers. This effectively improves the validity and consistency of the collected data, providing complete and reliable data support for the intelligent operation and management of express lockers. The intelligent scheduling module and dynamic optimization configuration module for locker resources can intelligently match and dynamically optimize locker resources based on package information, usage time, and site type. This significantly improves the matching accuracy and overall utilization efficiency of locker resources, fully releasing the operational value of express locker locker resources.

[0017] This invention, through a user package pickup timeliness intelligent optimization module and a user end-to-end interaction management module, can provide differentiated end-to-end interactive services based on user behavior profiles, optimizing the user's entire package delivery and pickup experience, while reducing the occupation of locker resources due to overdue packages, further improving the operational turnover efficiency of express lockers. The courier operation end-to-end management module enables standardized management of the entire process of courier entry into lockers, significantly improving courier entry efficiency and optimizing the entire last-mile delivery process.

[0018] This invention, through a site operation comprehensive efficiency evaluation module and an operation data statistical analysis module, enables multi-dimensional and refined statistical analysis of express locker operation indicators. It completes quantitative evaluation and benchmarking analysis of site operation efficiency, providing precise data support for adjusting operational strategies and allocating maintenance resources, thus achieving refined operation management of express locker sites. The remote equipment operation and maintenance management module enables real-time monitoring of equipment operating status, fault prediction, and remote handling, significantly shortening fault handling cycles, reducing equipment maintenance costs, and ensuring the long-term stable operation of express locker equipment.

[0019] This invention constructs a comprehensive security control and compliance management system for user data throughout its entire lifecycle through a data security compliance management module and a full-process data encryption storage module. This effectively protects the security of users' personal information and transaction data, enables full traceability of data operations, fully meets the compliance management requirements of relevant personal information protection regulations, and mitigates data security and compliance risks. The multi-site cluster management module enables centralized and unified management and resource collaborative scheduling of multiple sites within a region, significantly improving the management efficiency and resource utilization efficiency of large-scale multi-site operations. The community value-added service expansion module enables diversified extensions of the express delivery locker's functions, enriching its operational scenarios and profit models, fully releasing the commercial value of the express delivery locker as a core traffic entry point at the community's end, and adapting to the development trend of the last-mile logistics industry extending towards comprehensive community convenience services. Attached Figure Description

[0020] Figure 1 This is a schematic block diagram of a multi-dimensional data collection and efficient management system for express delivery lockers proposed in this invention; Figure 2A business flow diagram for intelligent scheduling and dynamic optimization of grid resources; Figure 3 A state machine diagram illustrating the entire interactive process of sending and receiving packages for multiple roles; Figure 4 A control diagram for multi-site clustering and remote intelligent operation and maintenance of equipment; Figure 5 Diagram of the system for expanding value-added services to the community and managing data compliance. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0024] Reference Figures 1 to 5 A multi-dimensional data collection and efficient management system for express delivery lockers, comprising: The multi-dimensional data acquisition module, through the various types of sensing units, interactive terminals, lock control units, and payment units built into the express cabinet, collects real-time operational data on all dimensions, including the occupancy status of the locker, package waybill information, user operation behavior, environmental parameters inside the cabinet, equipment hardware operating parameters, and payment transaction data, thus completing the initial aggregation and temporary storage of raw data. The data standardization preprocessing module performs data cleaning, deduplication verification, format unification, and field completion standardization processing on the collected multi-source heterogeneous data, removes invalid and abnormal data, and outputs a standardized operational dataset with a unified format. The intelligent scheduling module for compartment resources, based on standardized operational datasets and combined with data on package volume and weight, compartment specifications, and usage frequency, intelligently matches the optimal compartment resources and dynamically adjusts the compartment usage rules to achieve efficient scheduling and maximum utilization of compartment resources. The user full-process interaction management module connects to the express cabinet interactive terminal to complete the full-process interaction management of user identity verification, package sending and receiving operation guidance, information query, and service consultation, and pushes operation node notification information synchronously. The logistics system data interaction and synchronization module connects to the logistics management systems of major express companies and the transaction systems of e-commerce platforms through standardized interfaces, synchronizing the entire chain data of waybills in real time and updating the logistics status of parcels. The real-time equipment operation status monitoring module collects the operating parameters of the main control unit, locking system, interactive screen, power module, and communication unit of the express cabinet in real time, monitors the equipment operation status, and identifies abnormal hardware signals. The operation data statistical analysis module, based on full standardized operation data, completes statistical analysis of operation indicators by time period, site area, and equipment number, and automatically generates visualized operation reports and trend analysis results. The hierarchical access control module configures differentiated system access and operation permissions according to the role levels of system administrators, site maintenance personnel, couriers, and ordinary users, and sets up a multi-factor authentication mechanism. The intelligent handling module for abnormal events, based on preset abnormal handling rules, identifies events such as overdue packages, failed pickups, locker malfunctions, and payment anomalies, automatically triggers corresponding handling processes, and pushes abnormal warning information. The end-to-end data encryption storage module encrypts all operational, user, and transaction data generated throughout the system process, establishes a full operation audit log, and enables full traceability of data operations.

[0025] This invention also includes a grid resource dynamic optimization and configuration module. This module dynamically optimizes and adjusts the allocation strategy for grids of different specifications based on historical site operation data and real-time grid usage status, and introduces a formula for calculating the comprehensive utilization rate of grid resources: ; in To improve the comprehensive utilization rate of express delivery locker compartment resources, The effective usage time of the i-th grid is... The total duration of the statistical period. Let i be the specification weighting coefficient for the i-th grid. This refers to the total number of compartments in the express delivery locker. The number of orders whose packages successfully match the compartment specifications. To calculate the total number of orders within the statistical period, Weighted by the utilization rate of the grid time. As a weight for specification matching, ω1+ω2=1, the utilization efficiency of locker resources is quantitatively evaluated through the calculation formula of locker resource comprehensive utilization rate, providing a quantitative basis for the dynamic optimization of locker allocation strategy. At the same time, the locker reservation rules are dynamically adjusted in combination with the daily peak and off-peak periods of locker entry and retrieval. Large-sized lockers are reserved in advance during the morning peak hours for couriers to enter the lockers, and idle reserved lockers are released during the evening peak hours for users to retrieve their packages. Differentiated locker configurations are matched with the user profiles of the stations. Temperature-controlled lockers are reserved for fresh food packages at community stations, and small lockers for document packages are added at office building stations. Temporary merging and scheduling of adjacent idle lockers are supported to meet the locker entry needs of large packages, continuously improving the overall utilization efficiency of locker locker resources.

[0026] This invention also includes a user pickup timeliness intelligent optimization module. This module constructs a user pickup behavior profile based on historical pickup behavior data, package entry time, and user location information. It then pushes differentiated pickup reminders based on user type, such as reminders before the end of the workday for working users, reminders during daytime hours for home users, and simultaneous temperature and humidity warnings for fresh and cold chain packages. It intelligently predicts the risk of packages exceeding their expiration date and triggers multi-level warnings for packages with a high probability of expiration. Simultaneously, it provides users with a scheduled pickup service, locking the corresponding compartment within the scheduled time period, limiting the exclusive usage rights of the scheduled user, and allowing users to adjust the temporary storage time of packages. For pickup failure scenarios, it automatically triggers an intelligent assistance process; when a user enters the pickup code incorrectly multiple times, it automatically pushes a remote assistance entry and simultaneously pushes alternative pickup solutions, shortening the average pickup time for users, improving the user's package delivery and pickup service experience, and reducing the proportion of overdue packages occupying compartment resources.

[0027] This invention also includes a site operation comprehensive efficiency evaluation module. This module, based on comprehensive operational data of the express locker sites, quantitatively evaluates and ranks the overall operational efficiency of the sites, and introduces a site operation comprehensive efficiency scoring formula: ; in The overall operational efficiency of express delivery locker stations is scored. For the turnover rate of the station grid, To ensure the uptime of site equipment, The average pickup time for users, Rate user service satisfaction. This is the weighting coefficient for grid turnover rate. This is the weighting coefficient for equipment uptime. This is the weighting coefficient for the timeliness of package pickup. The system uses a user satisfaction weighting coefficient, α+β+γ+δ=1, to achieve horizontal comparison and vertical tracking of the operational efficiency of different sites through a comprehensive site operation efficiency score calculation formula. It also supports refined efficiency evaluation by time period, separately calculates specific efficiency indicators for peak locker entry and pickup periods, sets a correction coefficient for the impact of abnormal events on efficiency scores, and completes classification benchmarking analysis based on site type, distinguishing different evaluation standards for community sites, office building sites, and campus sites. It automatically pushes operational optimization suggestions to sites with continuously declining scores, and dynamically adjusts the weighting coefficient based on seasonal traffic fluctuations during e-commerce promotions. This provides precise quantitative support for adjusting site operation strategies and allocating operation and maintenance resources, enabling refined operation management of express locker sites.

[0028] This invention also includes a courier operation process management module. This module connects to the courier's mobile application to manage the entire process, including courier identity verification, locker access control, batch locker operation guidance, abnormal package handling, and operation data statistics. It supports couriers uploading daily waybill data in advance. The system pre-reserves matching locker slots based on waybill and package information to eliminate situations where couriers arrive at the locker but no slots are available. It dynamically adjusts locker quotas based on the daily delivery volume of each courier company, temporarily increasing the proportion of available slots for companies with high daily delivery volumes. During the locker operation, it automatically matches and verifies waybill information with recipient information, intercepting locker operations with mismatched information. It separately marks and provides special reminders for damaged packages, cash-on-delivery packages, and perishable packages. It synchronously records the entire locker operation process data, quantitatively evaluates courier operation efficiency, and automatically generates operation reports. When a station's lockers are full, it automatically recommends available lockers from neighboring stations, enabling cross-site locker resource scheduling, standardizing the courier locker operation process, and significantly improving courier locker operation efficiency.

[0029] This invention also includes a multi-scenario payment and settlement management module. This module connects to mainstream payment channels to manage the entire payment process, including calculating shipping fees, collecting overdue usage fees, and settling value-added service fees. It supports multiple payment methods such as online payment, facial recognition payment, and QR code payment. It sets tiered overdue billing rules and applies differentiated billing standards based on the length of time a package is overdue. It also supports multiple payment models, including monthly membership billing and unified settlement by courier companies. It can connect with courier companies to achieve combined settlement of shipping fees and overdue fees. It automatically triggers a fee reduction process for pickup delays caused by locker malfunctions or system anomalies. In the shipping scenario, it automatically calculates the optimal price based on package volume, weight, and destination. It automatically completes transaction reconciliation data verification with courier companies and payment channels. It triggers real-time interception and automatic refund processes for risky transactions such as duplicate payments and abnormal amount payments. After the transaction is completed, it automatically issues and pushes electronic invoices, realizing closed-loop management of the entire payment transaction process and ensuring the accuracy and security of payment transactions.

[0030] This invention also includes a remote equipment operation and maintenance management module. This module connects to the main control unit of the express cabinet via a wireless communication network, uploads real-time equipment operating status and fault information, and receives remote operation and maintenance commands. It performs remote configuration of equipment parameters, remote program upgrades, and remote fault diagnosis and handling. Based on historical equipment operating data, it constructs a fault prediction model, identifies potential faults in the locking unit, power module, and communication unit through trend analysis, and pushes preventative operation and maintenance reminders. It automatically dispatches operation and maintenance orders based on the fault location, real-time location of maintenance personnel, and fault level, matching the nearest maintenance personnel to handle the fault. It fully records all operation and maintenance process data and automatically generates operation and maintenance reports. It supports batch gray-scale upgrades of equipment firmware, completing upgrade verification at pilot sites before full rollout, eliminating the risk of batch upgrade failures. Simultaneously, it achieves intelligent energy consumption management, automatically switching to low-power mode during off-peak hours at night, quickly waking up when user operation is detected, and connecting to the temperature and humidity sensing unit inside the cabinet. When environmental parameters exceed standards, it automatically activates the ventilation control module. Routine equipment operation and maintenance work can be completed without on-site operation by maintenance personnel, significantly reducing equipment operation and maintenance costs and shortening fault handling time.

[0031] This invention also includes a community value-added service expansion module. Based on the express delivery locker interactive terminal and user operation data, this module provides value-added services such as community group buying, utility bill payment, community announcements, and housekeeping services. It accurately pushes convenient service content based on user profiles of package delivery and pickup behavior. Simultaneously, it provides information dissemination and temporary storage services for the exchange of idle community items, enabling contactless transfer of idle items through express delivery locker compartments. It connects to the community emergency management system to set up temporary storage compartments for emergency supplies, achieving standardized temporary storage and rapid retrieval of emergency medicines and flood control materials. It connects to the community property management system to achieve service linkage for property fee payment and access control authorization. It connects to direct supply channels from farmers to open a self-pickup service for fresh agricultural products, enabling temperature-controlled temporary storage and user self-pickup of fresh products through express delivery lockers. It also opens a recycling appointment service, allowing users to make online appointments for recycling personnel to complete the handover of recycled items and user point redemption through the express delivery lockers. This expands the express delivery locker's function from a last-mile logistics node to a community convenience service center, enriching the express delivery locker's operating scenarios and profit models.

[0032] This invention also includes a data security compliance management module. Based on relevant regulations on personal information protection, this module constructs a full lifecycle compliance management system for user data. It manages user personal information and transaction data in a tiered and categorized manner, implements higher-level encryption and access control for sensitive personal information, clearly informs users of the purpose and scope of data collection during the data collection process, and only performs data collection operations after obtaining explicit user authorization. It establishes an automated user personal information rights response mechanism, supporting the automatic processing and feedback of users' online requests for querying, copying, correcting, and deleting personal information. It sets strict cross-border data transmission control rules to prohibit the illegal cross-border transmission of user personal information, regularly performs automatic data compliance self-checks and generates compliance audit reports, and constructs a data leakage emergency response mechanism. When a data leakage risk is detected, it automatically triggers data locking, risk warnings, and a full-chain tracing and investigation process. It sets specific protection rules for minors' personal information, implements stricter information collection and use control standards, and ensures that the entire process of user data collection, storage, use, and destruction complies with relevant regulations, thus mitigating data compliance risks.

[0033] This invention also includes a multi-site cluster management module, which supports centralized and unified management of multiple parcel locker sites within the same area. It incorporates all parcel locker compartments within the area into a unified resource pool for pooled management, enabling unified scheduling and allocation of compartment resources across sites. Users can select any available compartment within the area when sending or receiving parcels. A regional operation and maintenance resource pool is established, and operation and maintenance personnel and spare parts resources are uniformly allocated based on the fault conditions and operation and maintenance needs of each site. A centralized monitoring screen for regional operations is built, displaying the real-time operation status, equipment operation status, and abnormal event handling progress of all sites within the area. It supports batch configuration of operation strategies for all sites within the area, allowing for unified setting of billing rules, compartment allocation rules, and operation and maintenance management rules. It also allows for the configuration of specific rules for individual sites, achieving unified management of user data within the area and ensuring consistent service experience for users at any site within the area. Based on historical traffic data, it pre-emptively schedules regional resources during peak e-commerce promotion periods, adjusts compartment quotas and operation and maintenance personnel schedules for each site in advance, and simultaneously completes unified statistics on energy consumption of all equipment within the area and batch distributes optimization strategies, significantly improving the management efficiency and resource utilization efficiency of large-scale multi-site operations.

[0034] The following two examples further illustrate the specific implementation of this system: Example 1: Implementation of a Multi-Dimensional Data Collection and Efficient Management System for Urban Community Express Lockers This embodiment is applied to a large residential community in a first-tier city, with a total of 4,500 households and over 12,000 permanent residents. The community is equipped with 6 sets of smart parcel locker stations, each with 36 compartments of different sizes, including small, medium, large, and temperature-controlled compartments. The community handles over 1,800 parcels daily. The core requirements are to improve the utilization efficiency of locker resources, optimize the resident parcel delivery and pickup experience, achieve centralized operation and management of multiple stations, reduce equipment maintenance costs, and expand community value-added services. This embodiment fully covers all the technical solutions of the system, and all module functions correspond completely to the overall system design, with no technical content exceeding the design scope.

[0035] This embodiment deploys a multi-dimensional data collection and efficient management system for express delivery lockers. The multi-dimensional data collection module uses the built-in infrared sensing unit, high-definition camera interactive terminal, electromagnetic lock control unit, and encrypted payment unit of the express delivery locker to collect real-time operational data on locker occupancy status, package waybill information, user touch screen operation behavior, locker temperature and humidity environmental parameters, main control unit operating parameters, power supply voltage and current data, and payment transaction records, completing the initial local aggregation and temporary storage of raw data. The data standardization preprocessing module performs data cleaning, deduplication, field format unification, and intelligent completion of missing fields on the collected multi-source heterogeneous data, eliminating invalid garbled data and abnormal jump data generated during the collection process, and outputting a standardized operational dataset with a unified format. The intelligent scheduling module for locker resources is based on a standardized operational dataset. It combines data on package volume and weight, locker specifications, and historical usage frequency uploaded in advance by couriers to intelligently match the optimal locker resource for each package. It dynamically adjusts locker usage rules based on daily peak and off-peak hours. Larger lockers are reserved in advance for couriers during the morning peak hours, and idle reserved lockers are released during residents' evening peak hours. Temperature-controlled lockers are automatically matched for fresh and cold chain packages. It supports the temporary merging and scheduling of adjacent idle lockers to meet the needs of large packages, achieving efficient scheduling and maximum utilization of locker resources.

[0036] The user-centric full-process interaction management module connects to the high-definition interactive terminal of the express locker, completing the entire process of user identity verification, package delivery and pickup guidance, waybill information inquiry, and service consultation. It simultaneously pushes notifications for package entry, pickup reminders, and operation milestones via SMS and mini-programs. The logistics system data interaction and synchronization module connects to the logistics management systems of major domestic express companies and the transaction systems of major e-commerce platforms through standardized interfaces, synchronizing real-time logistics data across the entire waybill chain and automatically updating the logistics status of packages at each stage: locker entry, pickup, and storage. The real-time equipment operation status monitoring module collects operating parameters from the express locker's main control unit, electromagnetic lock system, interactive touchscreen, power supply module, and wireless communication unit, monitoring equipment operation status 24 / 7 and identifying hardware anomalies in real time. The operational data statistical analysis module, based on full-volume standardized operational data, performs statistical analysis of operational indicators by daily, weekly, and monthly time periods, community site areas, and individual device numbers, automatically generating visualized operational reports and trend analysis results. The hierarchical access control module configures differentiated system access and operation permissions based on the roles of system administrators, community site maintenance personnel, couriers from partner courier companies, and ordinary community residents. A multi-factor authentication mechanism is implemented, ensuring that different roles can only access system functions and data within their designated scope. The intelligent anomaly handling module automatically identifies various anomalies such as overdue packages, failed pickups, lock malfunctions, and payment errors based on preset anomaly handling rules, automatically triggering corresponding handling processes and pushing anomaly warning information to the relevant roles. The end-to-end encrypted data storage module performs end-to-end encryption on all operational data, user personal information data, and payment transaction data generated throughout the system process, establishing a full operation audit log to completely record all operational behaviors and achieve end-to-end traceability of data operations.

[0037] This embodiment simultaneously deploys a module for dynamic optimization and configuration of parcel locker resources, a module for intelligent optimization of user pickup timeliness, a module for comprehensive evaluation of site operation efficiency, a module for full-process management of courier operations, a module for multi-scenario payment and settlement management, a module for remote equipment operation and maintenance management, a module for expanding community value-added services, a module for data security and compliance control, and a module for multi-site cluster management, thus fully realizing all functions of the system and covering the full-process management needs of community parcel locker operation.

[0038] Table 1. Performance Comparison of the Invention System and Traditional Express Locker Management System in Community Scenarios Table 1 provides a clear overview of the comprehensive performance advantages of this invention's system in urban community scenarios. Traditional parcel locker management systems employ a fixed compartment allocation model, resulting in significant mismatches in compartment resources, consistently low overall utilization rates, cumbersome user pickup processes, reliance on manual on-site troubleshooting with long processing cycles, incomplete data management systems, low compliance audit pass rates, and inconsistent user service experiences. This invention's system, through multi-dimensional data collection and intelligent scheduling, significantly improves the utilization efficiency of compartment resources and parcel processing capacity, optimizes the entire user pickup process, enables rapid handling of equipment malfunctions and full-process compliant data management, and is fully adapted to the refined operational needs of urban community parcel lockers.

[0039] Example 2: Implementation of a Multi-Dimensional Data Collection and Efficient Management System for Parcel Lockers in Commercial Office Building Parks This embodiment is applied to a cluster of Grade A office buildings and a high-tech industrial park in a core urban business district. The park comprises 22 commercial office buildings and R&D office buildings, housing over 800 companies and more than 35,000 employees. It is equipped with 12 smart parcel locker stations, each with 42 compartments of different sizes, primarily small document compartments and medium-sized standard compartments. The park handles over 4,200 parcels daily. The core requirements are to handle peak morning and evening parcel drop-off and pickup traffic on weekdays, improve the efficiency of business parcel drop-off and pickup, achieve multi-site cluster management within the park, ensure the information and data security of companies and employees, and meet the business service needs of companies within the park. This embodiment fully covers all the technical solutions of the system; all module functions correspond completely to the overall system design, with no technical content exceeding the design scope.

[0040] This embodiment deploys a multi-dimensional data collection and efficient management system for express delivery lockers. The multi-dimensional data collection module, through the high-protection sensing unit, encrypted interactive terminal, industrial-grade lock control unit, and compliant payment unit built into the express delivery locker, collects real-time operational data on locker occupancy status, business parcel waybill information, user operation behavior, locker environmental parameters, equipment hardware operating parameters, and corporate payment data, completing the initial aggregation and temporary storage of raw data. The data standardization preprocessing module performs data cleaning, deduplication verification, format unification, and field completion standardization processing on the collected multi-source heterogeneous data, eliminating invalid and abnormal data, and outputting a standardized operational dataset with a unified format. The locker resource intelligent scheduling module, based on the standardized operational dataset and combined with data on the volume and weight of business parcels, locker specifications, and weekday peak and off-peak usage frequency, intelligently matches the optimal locker resources. During the morning peak hours for express delivery into the locker on weekdays, small file-type lockers are reserved in batches; during the lunch and after-get off work peak hours for parcel pickup, idle lockers are dynamically released; and dedicated lockers are reserved in batches for corporate parcels, achieving efficient scheduling and maximum utilization of locker resources.

[0041] The user-end interaction management module connects to the encrypted interactive terminal of the express locker, completing the entire interactive management process for user identity verification, business parcel delivery and pickup guidance, waybill information inquiry, and enterprise service consultation. It also simultaneously pushes operation node notifications via WeChat and office software. The logistics system data interaction and synchronization module connects to the express company's logistics management system and the enterprise procurement platform system through standardized interfaces, synchronizing the entire chain of business parcel waybill data in real time and updating package logistics status. The real-time equipment operation status monitoring module collects operating parameters from the express locker's main control unit, locking system, interactive screen, power module, and communication unit in real time, monitoring equipment operation status 24 / 7 and identifying hardware anomalies. The operation data statistical analysis module, based on full-volume standardized operation data, performs statistical analysis of operation indicators by daily, weekly, and monthly time periods, park / building area, and equipment number, automatically generating visualized operation reports and trend analysis results. The hierarchical access control module configures differentiated system access and operation permissions according to the roles of system administrators, park maintenance personnel, enterprise administrative personnel, couriers, and general office staff, setting up a multi-factor authentication mechanism to achieve hierarchical isolation and control of enterprise and personal data. The intelligent event handling module identifies various abnormal events based on preset abnormal handling rules, such as delayed business shipments, failed pickups, locker malfunctions, and payment anomalies. It automatically triggers corresponding handling processes and pushes abnormal event warning information. The end-to-end data encryption and storage module performs end-to-end encryption processing on all operational data, enterprise business data, personal information data, and payment transaction data generated throughout the system process, and establishes a full operation audit log to achieve full traceability of data operations.

[0042] This embodiment simultaneously deploys a module for dynamic optimization and configuration of locker resources, a module for intelligent optimization of user pickup timeliness, a module for comprehensive evaluation of site operation efficiency, a module for full-process management of courier operations, a module for multi-scenario payment and settlement management, a module for remote equipment operation and maintenance management, a module for expanding business value-added services, a module for data security and compliance control, and a module for multi-site cluster management, thus fully realizing all the functions of the system and covering the full-process management needs of express locker operation in business parks.

[0043] Table 2 Performance Comparison of the Invention System and Traditional Express Locker Management System in Office Building Park Scenarios Table 2 clearly demonstrates the comprehensive performance advantages of the system of this invention in the context of commercial office building parks. Traditional parcel locker management systems cannot adapt to the peak and off-peak traffic fluctuations of commercial parks on weekdays. During peak hours, the turnover efficiency of lockers is low, the batch locker operation process is cumbersome, the accuracy of matching commercial parcels with lockers is insufficient, the operation and maintenance management model is extensive, the number of sites that can be managed per person is limited, and the ability to protect sensitive data is weak, failing to meet the professional needs of enterprises for public services. The system of this invention significantly improves the operational efficiency during peak hours through dynamic resource scheduling and batch locker optimization during peak and off-peak hours. It reduces data security risks through hierarchical access control and full-process encryption protection. At the same time, it can be deeply adapted to the public business service needs of enterprises, fully meeting the requirements for the large-scale and professional operation of parcel lockers in commercial office building parks.

[0044] Reference Figure 1 This diagram presents a macro-level view of the data flow and module collaboration within the express delivery locker system. At its core, the system relies on multi-dimensional sensors and interactive terminals to capture hardware status, package information, and user behavior in real time, then integrates this data into a standardized preprocessing hub for cleaning and reconstruction. Building upon this foundation, the system extends upwards to four core business pillars: locker scheduling and data interaction supporting the logistics chain; end-to-end interaction and multi-scenario payment ensuring a positive user experience; real-time monitoring and anomaly handling to maintain equipment health; and operational statistical analysis driving decision-making. Simultaneously, hierarchical access control and end-to-end encrypted storage act as a fundamental safeguard, permeating all modules of the system and ensuring the secure, stable, and efficient operation of massive amounts of heterogeneous data throughout its entire lifecycle of collection, processing, and application.

[0045] Reference Figure 2 This diagram highlights how the system maximizes the utilization of limited physical storage space. The process begins with the initial intelligent matching of package attributes (volume, weight) with storage space specifications. The system not only considers static data but also deeply integrates dynamic characteristics across time and space: by predicting peak traffic flow, it implements off-peak reservation strategies (e.g., allocating larger storage spaces to couriers during the morning peak and releasing idle resources to users during the evening peak). Furthermore, the system combines site profiles to tailor temperature-controlled or mini-storage spaces for specific scenarios such as community fresh produce and office building document storage, and triggers a merging mechanism for adjacent idle storage spaces in extremely rare cases. This dynamic optimization logic, adapting to changing times and locations, completely breaks the deadlock of traditional fixed allocation, significantly improving the overall turnover rate of the site.

[0046] Reference Figure 3This diagram uses a state machine model to clearly illustrate the state transitions and anomaly intervention mechanisms of a package throughout its entire lifecycle, from "courier placing the package in the locker" to "user picking it up." At the beginning, the system rigorously verifies the courier's identity and allows for batch waybill entry and locker reservation. After the package is placed in the locker, the system enters a user-centric service loop: based on user behavior profiles, it accurately pushes pickup reminders at appropriate times (e.g., during the day when at home, or in the evening for working professionals). When a package approaches its overdue threshold, the state machine automatically switches to the warning and billing branches, supporting multi-tiered overdue billing or fee reductions. If pickup fails or multiple verification errors occur, the system smoothly transitions to intelligent assistance and remote customer service intervention, ensuring a smooth loop, significantly reducing the proportion of delayed packages, and improving the last-mile service experience.

[0047] Reference Figure 4 This diagram reveals the core management architecture of the system when operating at scale. Breaking through the limitations of single-point management, the system builds a regional resource pool and a centralized monitoring dashboard at the top level, enabling real-time coordination of equipment status and operational efficiency across all sites in the region. When facing extreme traffic surges such as e-commerce promotions, the system can flexibly allocate grid quotas and spare parts resources across sites. Regarding underlying equipment maintenance, the system deploys preventative maintenance logic: predicting potential hardware failures such as locks or power supplies based on historical data trends and automatically dispatching work orders to the nearest maintenance personnel. Simultaneously, the remote control module empowers the system with advanced capabilities such as firmware gray-scale upgrades, low-power nighttime mode switching, and automatic temperature-controlled ventilation without on-site intervention, significantly reducing the maintenance manpower costs for large-scale regional management.

[0048] Reference Figure 5 This diagram, employing a tree-like hierarchical structure, illustrates the blueprint for the system's expansion into a broader business ecosystem, built upon a robust data security foundation. The business landscape on the left shows that express delivery lockers have evolved from a single logistics delivery node into a multi-functional "community convenience service hub," giving rise to diverse scenarios such as contactless exchange of idle goods, temperature-controlled self-pickup of fresh produce, community group buying connections, and even standardized temporary storage of emergency flood control supplies. To support these high-frequency and complex business interactions, a robust data compliance protection network has been constructed on the right: the system enforces a mandatory explicit user authorization mechanism, granting users full control over their personal information (query, modification, deletion). Simultaneously, high-strength encryption is implemented for sensitive information, special isolation protection is initiated for minors' data, and compliance risks are thoroughly blocked through regular self-inspections and an emergency circuit breaker mechanism to prevent data leakage.

[0049] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A multi-dimensional data collection and efficient management system for express delivery lockers, characterized in that, include: The multi-dimensional data acquisition module collects real-time data on compartment parameters, equipment hardware operating parameters, and payment transaction data through various types of sensing units, interactive terminals, lock control units, and payment units built into the express cabinet, completing the initial aggregation and temporary storage of raw data. The data standardization preprocessing module performs data cleaning, deduplication verification, format unification, and field completion standardization processing on the collected multi-source heterogeneous data, removes invalid and abnormal data, and outputs a standardized operational dataset with a unified format. The intelligent scheduling module for compartment resources, based on standardized operational datasets and combined with data on package volume and weight, compartment specifications, and usage frequency, intelligently matches the optimal compartment resources and dynamically adjusts the rules for compartment usage. The user full-process interaction management module connects to the express cabinet interactive terminal to complete the full-process interaction management of user identity verification, package sending and receiving operation guidance, information query, and service consultation, and pushes operation node notification information synchronously. The logistics system data interaction and synchronization module connects to the logistics management systems of major express companies and the transaction systems of e-commerce platforms through standardized interfaces, synchronizing the entire chain data of waybills in real time and updating the logistics status of parcels. The real-time equipment operation status monitoring module collects the operating parameters of the main control unit, locking system, interactive screen, power module, and communication unit of the express cabinet in real time, monitors the equipment operation status, and identifies abnormal hardware signals. The operation data statistical analysis module, based on full standardized operation data, completes statistical analysis of operation indicators by time period, site area, and equipment number, and automatically generates visualized operation reports and trend analysis results. The hierarchical access control module configures differentiated system access and operation permissions according to the role levels of system administrators, site maintenance personnel, couriers, and ordinary users, and sets up a multi-factor authentication mechanism. The intelligent handling module for abnormal events identifies events such as overdue packages, failed pickups, locker malfunctions, and payment anomalies based on preset abnormal event handling rules, and automatically triggers the corresponding handling process. The end-to-end data encryption storage module encrypts all operational, user, and transaction data generated throughout the system process and establishes a full-scale operation audit log.

2. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a grid resource dynamic optimization and configuration module. This module dynamically optimizes and adjusts the allocation strategy for grids of different specifications based on historical site operation data and real-time grid usage status, and introduces a formula for calculating the comprehensive utilization rate of grid resources: ； in To improve the comprehensive utilization rate of express delivery locker compartment resources, The effective usage time of the i-th grid is... The total duration of the statistical period. Let i be the specification weighting coefficient for the i-th grid. This refers to the total number of compartments in the express delivery locker. The number of orders whose packages successfully match the compartment specifications. To calculate the total number of orders within the statistical period, Weighted by the utilization rate of the grid time. As the specification matching degree weight, ω1+ω2=1, the utilization efficiency of grid resources is quantitatively evaluated through the calculation formula of grid resource comprehensive utilization rate, providing a quantitative basis for the dynamic optimization of grid allocation strategy.

3. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a user pickup timeliness intelligent optimization module, which constructs a user pickup behavior profile based on the user's historical pickup behavior data, the time the package is placed in the locker, and the user's location information, and pushes differentiated pickup reminder information according to user type.

4. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a site operation comprehensive performance evaluation module. This module, based on comprehensive operational data of the express locker sites, quantitatively evaluates and ranks the overall operational performance of the sites, and introduces a site operation comprehensive performance scoring formula: ； in The overall operational efficiency of express delivery locker stations is scored. For the turnover rate of the station grid, To ensure the uptime of site equipment, The average pickup time for users, Rate user service satisfaction. This is the weighting coefficient for grid turnover rate. This is the weighting coefficient for equipment uptime. This is the weighting coefficient for the timeliness of package pickup. The user satisfaction weighting coefficient, α+β+γ+δ=1, enables horizontal comparison and vertical tracking of the operational efficiency of different sites through the site operation comprehensive efficiency score calculation formula. It also supports refined efficiency evaluation by time period, separately calculates special efficiency indicators for peak locker entry and peak pickup periods, sets the impact correction coefficient of abnormal events on efficiency scores, and completes classification benchmarking analysis in combination with site type, distinguishing different evaluation standards for community sites, office building sites, and campus sites.

5. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a courier operation process management module, which connects to the courier's mobile application to complete the entire process management, including courier identity verification, locker access control, batch locker operation guidance, abnormal package handling, and operation data statistics. The system supports couriers to upload the day's waybill data in advance, and the system reserves matching locker slots based on the waybill and package information to eliminate the situation where there are no available slots after the courier arrives at the locker. The system dynamically adjusts the locker quota based on the daily express delivery volume of each courier company, and temporarily increases the proportion of available slots for courier companies with large daily express delivery volume. During the locker operation, the system automatically completes the matching and verification of waybill information and recipient information, and intercepts locker operations with mismatched information.

6. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a multi-scenario payment and settlement management module, which connects to mainstream payment channels to complete the entire payment management process, including calculation of shipping fees, collection of overdue usage fees, and settlement of value-added service fees. It supports multiple payment methods such as online payment, facial recognition payment, and QR code payment, sets up tiered overdue billing rules, and implements differentiated billing standards based on the length of time the package is overdue. It also supports multiple payment models such as monthly membership billing and unified settlement by courier companies.

7. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a remote equipment operation and maintenance management module. This module connects to the main control unit of the express cabinet via a wireless communication network, uploads equipment operating status and fault information in real time, receives remote operation and maintenance instructions, completes remote configuration of equipment parameters, remote program upgrades, and remote troubleshooting and handling of faults. Based on historical equipment operating data, it builds a fault prediction model, identifies fault risks in the locking unit, power module, and communication unit in advance through trend analysis, pushes preventive operation and maintenance reminders, and automatically completes operation and maintenance dispatch by combining the fault site location, real-time location of operation and maintenance personnel, and fault level, matching the nearest operation and maintenance personnel to handle the fault, fully recording the entire operation and maintenance process data and automatically generating operation and maintenance reports.

8. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a community value-added service expansion module. Based on the express delivery locker interactive terminal and user operation data, the community value-added service expansion module provides value-added services such as community group buying, utility bill payment, community announcements, and housekeeping services. It can accurately push convenient service content based on user mailing and picking behavior profiles. At the same time, it provides information release and temporary storage services for the exchange of idle items in the community. It can complete the contactless transfer of idle items through the express delivery locker compartments. It can connect with the community emergency management system to set up temporary storage compartments for emergency supplies, realize the standardized temporary storage and rapid retrieval of emergency medicines and flood control materials. It can connect with the community property system to realize the service linkage of property fee payment and access control authorization. It can connect with farmers' direct supply channels to open fresh agricultural product self-pickup services, and complete the temperature-controlled temporary storage and user self-pickup of fresh products through express delivery lockers.

9. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a data security compliance management module, which is based on the relevant laws and regulations on personal information protection to build a compliance management system for the entire life cycle of user data. It manages user personal information and transaction data in a hierarchical and classified manner, performs higher-level encryption processing and access control on sensitive personal information, clearly informs users of the purpose and scope of data collection during the data collection process, and performs data collection operations only after obtaining explicit authorization from users, and sets up an automated user personal information rights response mechanism.

10. The multi-dimensional data collection and efficient management system for express delivery lockers according to claim 1, characterized in that, It also includes a multi-site cluster management module, which supports centralized and unified management of multiple express locker sites in the same area. It incorporates all express locker slots in the area into a unified resource pool for pooled management, and completes unified scheduling and allocation of slot resources across sites. When sending or receiving packages, users can select any available slot at any site in the area. It establishes a regional operation and maintenance resource pool, and coordinates operation and maintenance personnel and spare parts resources in a unified manner based on the fault status and operation and maintenance needs of each site. It also builds a centralized monitoring screen for regional operation, which displays the operation status of all sites in the area, equipment operation status, and progress of abnormal event handling in real time.

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