Intelligent logistics storage autonomous metering and management platform

Abstract

The invention relates to the technical field of logistics management, in particular to an intelligent logistics storage autonomous metering and management platform, which is used for generating a standardized logistics order based on logistics plan data input from an upstream ERP system or a webpage, and assigning the order according to a preset distribution rule. The vehicle dispatching management module is used for generating a vehicle dispatching order according to the standardized logistics order generated by the order management module, the transportation mode and the resource state, generating an optimal transportation path, and carrying out in-transit state monitoring and abnormity early warning according to the vehicle dispatching order and the optimal transportation path in combination with the obtained vehicle position and the driving track. And according to contract terms and settlement strategies in the contract price management module, electronic metering certificates in the in-transit management module and the unmanned metering module are extracted to generate a settlement bill for settlement, so that real-time sharing of logistics data and business finance integrated management are realized.

Description

Technical Field

[0001] This invention relates to the field of logistics management technology, and in particular to an intelligent logistics warehousing autonomous measurement and management platform. Background Technology

[0002] In traditional bulk commodity logistics and warehousing management, especially in heavy industries such as steel and mining, the logistics process involves multiple steps including order processing, scheduling, transportation, measurement, and settlement. Information is isolated between these systems, and data relies on manual entry and transmission, leading to opaque logistics information, broken data chains, and low operational efficiency. Common logistics management systems often only cover certain aspects, such as order management or vehicle scheduling, lacking the ability to digitally integrate and monitor the entire chain in real time. Furthermore, traditional measurement methods often rely on IC cards or paper documents, which suffer from high card production costs, susceptibility to loss and tampering, and lack of information linkage, failing to achieve real-time sharing of logistics data and integrated business and financial management. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent logistics warehousing autonomous measurement and management platform to realize real-time sharing of logistics data and integrated business and financial management.

[0004] To achieve the above objectives, the present invention provides an intelligent logistics warehousing autonomous metering and management platform, which includes an order management module, a scheduling management module, an in-transit management module, an unmanned metering module, a settlement management module, and a contract price management module. The order management module is used to receive logistics plan data from the upstream ERP system or web page, generate standardized logistics orders, and assign them to the scheduling management module according to preset allocation rules. The scheduling management module is used to generate a dispatch order and the optimal transportation route based on the standardized logistics order generated by the order management module, as well as the transportation mode and resource status, and to make feedback adjustments based on the early warning information fed back by the in-transit management module. The on-the-way management module is used to monitor the on-the-way status and issue early warnings for abnormalities based on the dispatch order and the optimal transportation route, combined with the obtained vehicle location and driving trajectory. The unmanned metering module is used for identity authentication and automatic metering, and associates the metering data with the standardized logistics order and the dispatch order to generate electronic metering vouchers and transmit them to the settlement management module. The settlement management module is used to extract the electronic measurement vouchers from the in-transit management module and the unmanned measurement module to generate a settlement statement based on the contract terms and settlement strategy in the contract price management module; The contract price management module is used to provide electronic contract template management, contract catalog generation, and price ledger maintenance.

[0005] The order management module includes an order receiving unit, an order generation unit, and an order allocation unit. The order receiving unit is used to obtain logistics plans from the upstream ERP system through a predetermined data interface, and to obtain logistics plans generated through a webpage. The order generation unit is used to clean and complete the data in the logistics plan, and after format standardization, mark the generated standardized logistics orders as pending allocation and generate corresponding order numbers. The order allocation unit is used to assign the standardized logistics orders marked as pending allocation according to the generated recommendation list based on the preset allocation rules, and change the standardized logistics orders to allocated, while transmitting the data to the scheduling management module in real time.

[0006] The order management module further includes a rule generation unit; The rule generation unit is used to generate allocation rules based on the transportation resources, contract prices, and contract types in the contract price management module.

[0007] The scheduling management module includes a vehicle dispatch order generation unit and a transportation route planning unit. The dispatch order generation unit is used to query the resource status database of the designated carriers based on the standardized logistics orders transmitted by the order management module, match the corresponding vehicle resources, generate a dispatch order, and transmit it to the in-transit management module. The transportation route planning unit is used to calculate multiple alternative routes based on the origin and destination in the dispatch order, evaluate the multiple alternative routes with various weights, obtain the optimal transportation route according to the preset target weight, and write it into the dispatch order.

[0008] The scheduling management module also includes an anomaly adjustment unit; The anomaly adjustment unit is used to verify information based on the early warning information generated by the in-transit management module, and when it is determined that the optimal transportation route is impassable, to issue a route replanning instruction to the transportation route planning unit.

[0009] The scheduling management module also includes a status synchronization unit; The status synchronization unit is used to update the status of the dispatch order and release the corresponding vehicle resources when the arrival instruction generated by the in-transit management module and the task completion instruction obtained are received.

[0010] The in-transit management module includes a data monitoring unit and an early warning unit; The data monitoring unit is used to receive real-time trajectory data streams transmitted back by the positioning device bound to the dispatch order in real time, according to the dispatch order. The early warning unit is used to perform route deviation warning, progress abnormality warning and status abnormality warning based on the real-time trajectory data stream; wherein, the route deviation warning is calculated by calculating the vertical distance from the vehicle's current location to the planned route, and when the vertical distance exceeds a preset distance threshold and continues for a preset time, the route deviation is determined and an early warning is issued; The progress anomaly warning is based on the vehicle's real-time location and average speed to calculate the time to arrive at the next critical path point. The predicted arrival time is compared with the expected arrival time of the optimal transportation route. If the predicted arrival time is later than the expected arrival time and exceeds the progress threshold, an warning is issued. Anomaly warning is issued when an abnormal vehicle speed or a speed difference deviation exceeds a status threshold.

[0011] The in-transit management module also includes an early warning and coordination unit; The early warning coordination unit is used to transmit early warning information to the scheduling management module, the settlement management module, and the order management module.

[0012] The intelligent logistics warehousing autonomous metering and management platform also includes a data integration module; The data integration module is used to interact with upstream and downstream systems via API interfaces.

[0013] The intelligent logistics warehousing autonomous metering and management platform also includes a data display module; The data display module is used to display the standardized logistics orders, the dispatch orders, and the vehicle locations and driving trajectories collected by the in-transit management module.

[0014] This invention discloses an intelligent logistics warehousing autonomous metering and management platform. The platform includes an order management module, a dispatch management module, an in-transit management module, an unmanned metering module, a settlement management module, and a contract price management module. Based on logistics plan data received from an upstream ERP system or web page, it generates standardized logistics orders and assigns them according to preset allocation rules. Based on the standardized logistics orders generated by the order management module, as well as the transportation mode and resource status, it generates a dispatch order and an optimal transportation route. Based on the dispatch order and the optimal transportation route, combined with the acquired vehicle location and driving trajectory, it performs in-transit status monitoring and anomaly warning. Furthermore, based on the contract terms and settlement strategies in the contract price management module, it extracts electronic metering vouchers from the in-transit management module and the unmanned metering module to generate settlement statements for settlement, achieving real-time sharing of logistics data and integrated business and financial management. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0016] Figure 1 This is a schematic diagram of the structure of an intelligent logistics warehousing autonomous metering and management platform according to the first embodiment of the present invention.

[0017] Figure 2 This is a flowchart illustrating an intelligent logistics warehousing autonomous measurement and management platform provided by the present invention.

[0018] Figure 3 This is a structural diagram of the order management module provided by the present invention.

[0019] Figure 4 This is a schematic diagram of the scheduling management module provided by the present invention.

[0020] Figure 5 This is a structural diagram of the in-transit management module provided by the present invention.

[0021] Figure 6 This is a structural schematic diagram of the unmanned metering module provided by the present invention.

[0022] Figure 7 This is a schematic diagram of the electronic device of the present invention.

[0023] In the diagram: 101-Order Management Module, 102-Dispatch Management Module, 103-On-Road Management Module, 104-Unmanned Metering Module, 105-Settlement Management Module, 106-Contract Price Management Module, 107-Data Integration Module, 108-Data Display Module, 1011-Order Receiving Unit, 1012-Order Generation Unit, 1013-Order Allocation Unit, 1014-Rule Generation Unit, 1021-Dispatch Order Generation Unit, 1022-Transportation Route Planning Unit, 1023-Abnormal Adjustment Unit, 1024-Status Synchronization Unit, 1031-Data Monitoring Unit, 1032-Early Warning Unit, 1033-Early Warning Collaboration Unit, 1041-Data Verification Unit, 1042-Order Metering Unit. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0025] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms "a," "say," and "this" used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms used herein refer to and / or include any or all possible combinations of one or more associated listed items.

[0026] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, words used herein may be interpreted as meaning "when..." or "when..." or "in response to determination".

[0027] Please see Figures 1-6 The present invention provides an intelligent logistics warehousing autonomous metering and management platform, which includes an order management module 101, a scheduling management module 102, an in-transit management module 103, an unmanned metering module 104, a settlement management module 105, and a contract price management module 106. The order management module 101 is used to receive logistics plan data from the upstream ERP system or web page, generate standardized logistics orders, and assign them to the scheduling management module 102 according to preset allocation rules. The scheduling management module 102 is used to generate a dispatch order and the optimal transportation route based on the standardized logistics order generated by the order management module 101, as well as the transportation mode and resource status, and to make feedback adjustments based on the early warning information fed back by the in-transit management module 103. The on-the-way management module 103 is used to monitor the on-the-way status and provide early warnings of anomalies based on the dispatch order and the optimal transportation route, combined with the obtained vehicle location and driving trajectory. The unmanned metering module 104 is used for identity authentication and automatic metering, and associates the metering data with the standardized logistics order and the dispatch order to generate electronic metering vouchers and transmit them to the settlement management module 105. The settlement management module 105 is used to extract the electronic measurement vouchers from the in-transit management module 103 and the unmanned measurement module 104 to generate a settlement statement based on the contract terms and settlement strategy in the contract price management module 106. The contract price management module 106 is used to provide electronic contract template management, contract catalog generation, and price ledger maintenance.

[0028] In this embodiment, firstly, the order management module 101 receives logistics plan data from the upstream ERP system or manually input, automatically generates standardized logistics orders, and assigns them to carriers and the dispatch management module 102 according to preset rules. The dispatch management module 102 automatically or manually executes vehicle / vehicle dispatching based on the mode of transportation (road, rail, waterway) and resource status, generates dispatch orders, and plans the optimal transportation route. During transportation, the in-transit management module 103 integrates Beidou positioning equipment and GIS maps to obtain vehicle location and driving trajectory in real time. The system is linked to waybills to enable full-process visual monitoring and anomaly warnings of the transit status. When an anomaly occurs, a warning is sent to the scheduling management module 102, which then regenerates a new optimal transportation route for dispatching. Once the transit management module 103 detects arrival at the destination, the settlement management module 105 automatically extracts transportation data and generates a settlement statement based on the contract terms and settlement strategy in the contract price management module 106. This supports integration with financial systems (such as EAS) to achieve automatic synchronization and settlement of business and financial data. Before settlement, the unmanned metering module 104 uses QR codes or ID card recognition technology to replace traditional IC cards, enabling unattended automatic metering. Metering data is uploaded to the platform in real time and linked to logistics orders and dispatch orders. Using QR codes or ID cards instead of traditional IC cards achieves unified identity authentication for metering, loading, and queuing, improving efficiency and security. Deep integration of orders, waybills, and BeiDou positioning data enables task-driven visual monitoring of the transit process. Through deep integration of business and financial systems, the entire process from transportation to settlement is automated, enabling real-time sharing of logistics data and integrated business and financial management.

[0029] Furthermore, the order management module 101 includes an order receiving unit 1011, an order generation unit 1012, and an order allocation unit 1013; The order receiving unit 1011 is used to obtain logistics plans from the upstream ERP system through a predetermined data interface, and to obtain logistics plans generated through a webpage. The order generation unit 1012 is used to clean and complete the data in the logistics plan, and after format standardization, mark the generated standardized logistics orders as pending allocation and generate corresponding order numbers. The order allocation unit 1013 is used to allocate the standardized logistics orders marked as pending allocation according to the generated recommendation list based on the preset allocation rules, and change the standardized logistics orders to allocated, while transmitting them to the scheduling management module 102 in real time.

[0030] In this embodiment, firstly, the order receiving unit 1011 automatically obtains a logistics plan from an upstream business system (such as an enterprise's ERP system, sales portal, or procurement system) through a predefined data interface. This plan includes basic information such as the shipper, consignee, type of goods, quantity, expected delivery time, and origin and destination. Alternatively, for temporary or special business without system integration, authorized users can manually create and fill out the logistics plan through a web or mobile interface. Then, after obtaining the original logistics plan, the order generation unit 1012 automatically verifies the integrity and legality of the data. For example, it automatically matches and completes attribute information such as goods density and packaging specifications based on the goods number; and completes the customer's full name and settlement information based on the customer number. All input information is mapped to a predefined standardized logistics order data model. This model specifies a unified format, unit, and enumerated values ​​for each data field (such as order number, goods information, shipping and receiving addresses, timestamps, and business type), ensuring consistent understanding of order information across all downstream modules. Newly generated standardized logistics orders are initially marked as pending assignment and a globally unique order number is generated as the unique identifier for the order's circulation within the entire system. For standardized logistics orders in the pending assignment status, the order allocation unit 1013 will call preset allocation rules for comprehensive evaluation and calculation, output one or more recommended carrier lists, and sort them by priority. For regular orders with clear rules and no need for manual review, the system automatically assigns the order to the highest priority carrier and updates the order status to assigned. For orders with low confidence in the rule engine recommendation results or involving special circumstances, the system pushes the recommendation list to the dispatcher's operation interface for final confirmation and execution of assignment by the dispatcher. After assignment, the status is also updated to assigned, and the standardized logistics orders in the assigned status (including carrier information) are pushed to the dispatch management module 102 in real time. The standardized logistics order includes: order number, cargo information (type, weight, volume), origin, destination, expected arrival time, designated carrier, and required mode of transportation (road, rail, or waterway).

[0031] During the order generation and allocation process, the order management module 101 will send a price query request to the contract price management module 106. The request carries information such as the type of goods, transportation route, and carrier. The contract price management module 106 matches valid contract terms according to the request parameters and returns an accurate contract price to the order management module 101 for use in allocation decisions.

[0032] After the order management module 101 receives the warning information issued by the in-transit management module 103, it marks the status of the corresponding standardized logistics order as transportation abnormal.

[0033] Furthermore, the order management module 101 also includes a rule generation unit 1014; The rule generation unit 1014 is used to generate allocation rules based on the transportation resources, contract prices, and contract types in the contract price management module 106.

[0034] In this embodiment, the rule generation unit 1014 compares the qualifications, frequently used routes, types of goods it is good at transporting, and historical service quality ratings of each contracted carrier (transportation company). It also considers the current vehicle / vessel idle rate and geographical location of each carrier, aiming to minimize empty runs. Based on the contract price signed with the carrier (from the contract price management module 106), it automatically selects the carrier with the best freight quote. Furthermore, it supports strategies based on specific business types, such as prioritizing urgent orders to specific carriers or assigning certain valuable goods to the highest-rated fleet.

[0035] Furthermore, the scheduling management module 102 includes a vehicle dispatch order generation unit 1021 and a transportation route planning unit 1022; The dispatch order generation unit 1021 is used to query the resource status database of the set carriers according to the allocated standardized logistics orders transmitted by the order management module 101, match the corresponding vehicle resources, generate a dispatch order, and transmit it to the in-transit management module 103. The transportation route planning unit 1022 is used to calculate multiple alternative routes based on the origin and destination in the dispatch order, evaluate the multiple alternative routes with various weights, obtain the optimal transportation route according to the preset target weight, and write it into the dispatch order.

[0036] In this embodiment, the dispatch order generation unit 1021 immediately queries the resource status database of the designated carrier based on the allocated standardized logistics order transmitted by the order management module 101. This resource status database is a dynamically updated database that records the real-time status of all registered vehicles / vehicles, including: license plate number, vehicle type, load / capacity, current location, current status (e.g., idle, en route, under maintenance), assigned driver, and contact information. Based on order requirements, matching vehicle resources are automatically selected. Matching rules include: Capacity matching: The maximum load capacity and volume of the vehicle must meet the requirements of the order quantity.

[0037] Status matching: Prioritize vehicles that are in an idle state or about to complete their mission (calculated based on the estimated completion time of their on-the-go missions).

[0038] Location optimization: Prioritize selecting available vehicles closest to the departure point to reduce empty driving distance and time.

[0039] Once a suitable vehicle is matched, the system automatically generates a standardized dispatch order. This dispatch order binds order information with vehicle resource information and includes the following core information: Dispatch order number (associated with order number); Basic order information (inherited from standardized logistics orders); Vehicle and driver information assignment; Planned loading time and location; Plan transportation routes (generated by transportation route planning unit 1022); Status indicator: The initial status is that a vehicle has been dispatched and is pending execution.

[0040] Simultaneously with the generation of the dispatch order, the transportation route planning unit 1022 is triggered, and the route planning is based on the following multi-source data: Basic geographic information: Integrates high-precision map data, including information such as road / waterway grade, length, height limit, and weight limit.

[0041] Real-time traffic data: Integrate with third-party traffic information services to obtain real-time information on road conditions, congestion, construction, accidents, etc.

[0042] Business rules data includes preferred routes, areas to be avoided, and restricted road sections during specific time periods as defined by the company.

[0043] Cost and efficiency objectives: Objectives are configurable, such as the shortest time, lowest fuel consumption, or optimal overall cost.

[0044] Using the origin and destination as inputs, and combining the aforementioned data, multiple feasible alternative routes are calculated, and each alternative route is comprehensively weighted and evaluated. Evaluation factors include: estimated travel time (including congestion delays), total mileage, road tolls, vehicle wear and tear, and safety. Based on preset target weights, the system automatically selects the optimal route as the recommended route. The final planned transportation route is written into a dispatch order and sent to the carrier's driver along with the dispatch order, typically received via a mobile app. Route planning is not a one-time static process; the system generates a route baseline model for each recommended route. This model includes critical waypoints and expected transit times, providing a dynamic basis for subsequent on-the-go management.

[0045] Once a vehicle dispatch order is generated, the dispatch management module 102 immediately pushes the complete vehicle dispatch order data package (including vehicle information, order information, planned route, and route baseline model) to the in-transit management module 103.

[0046] Furthermore, the scheduling management module 102 also includes an anomaly adjustment unit 1023; The abnormal adjustment unit 1023 is used to verify information based on the early warning information generated by the on-the-way management module 103, and when it is determined that the optimal transportation route is impassable, to issue a route replanning instruction to the transportation route planning unit 1022.

[0047] In this embodiment, when the in-transit management module 103 detects an anomaly, it generates an early warning message and transmits it to the anomaly adjustment unit 1023. Upon receiving the anomaly message, the anomaly adjustment unit 1023 can directly contact the driver via built-in system communication functions (such as APP messages or voice) to verify the situation. If it is confirmed that the original route is impassable due to an emergency (such as road closure), the dispatcher can manually or automatically trigger the system to activate the transportation route planning unit 1022 for dynamic replanning, generating a new optimal route, updating the dispatch order in real time, and resending it to the in-transit management module 103. This forms a closed-loop control system of monitoring-early warning-decision-execution, upgrading the traditional passive location monitoring to proactive transportation process management and intervention, greatly improving the response speed and management efficiency in dealing with emergencies.

[0048] Furthermore, the scheduling management module 102 also includes a status synchronization unit 1024; The status synchronization unit 1024 is used to update the status of the dispatch order and release the corresponding vehicle resources when the arrival instruction generated by the in-transit management module 103 and the task completion instruction obtained.

[0049] In this embodiment, when the vehicle arrives at its destination and completes unloading, the driver confirms task completion via a mobile app. This signal first triggers the in-transit management module 103 to update the transportation task status to "completed," and then the in-transit management module 103 sends a task completion notification to the dispatch management module 102. Upon receiving the notification, the dispatch management module 102 updates the corresponding dispatch order status to "completed," releases the vehicle resource, and resets its status to "idle" in the resource status database. Simultaneously, it sends a signal to the order management module 101, driving the order status to "pending settlement," ensuring strict consistency and real-time performance between the system's resource status and business process status, laying a solid foundation for refined management and automated settlement.

[0050] Furthermore, the in-transit management module 103 includes a data monitoring unit 1031 and an early warning unit 1032; The data monitoring unit 1031 is used to receive real-time trajectory data streams transmitted back by the positioning device bound to the dispatch order in real time, according to the dispatch order. The early warning unit 1032 is used to perform route deviation warning, progress abnormality warning and status abnormality warning based on the real-time trajectory data stream; wherein, the route deviation warning is calculated by calculating the vertical distance from the current location of the vehicle to the planned route, and when the vertical distance exceeds a preset distance threshold and continues for a preset time, the route deviation is determined and an early warning is issued; The progress anomaly warning is based on the vehicle's real-time location and average speed to calculate the time to arrive at the next critical path point. The predicted arrival time is compared with the expected arrival time of the optimal transportation route. If the predicted arrival time is later than the expected arrival time and exceeds the progress threshold, an warning is issued. Anomaly warning is issued when an abnormal vehicle speed or a speed difference deviation exceeds a status threshold.

[0051] In this embodiment, the data monitoring unit 1031 receives a standardized dispatch order with dispatched vehicle status from the dispatch management module 102. This dispatch order includes vehicle information, order information, and key planned transportation routes and their corresponding route baseline models. The route baseline model not only includes waypoints but also defines the expected spatiotemporal corridor of the task, including but not limited to: the expected arrival time range of key waypoints, the expected speed range of key road sections (such as highways and bridges), and the overall estimated completion time of the task. Then, it continuously receives real-time trajectory data streams transmitted from the BeiDou / GPS positioning devices bound to the vehicles in the dispatch order, including: latitude and longitude, instantaneous speed, direction, and timestamp. New planned routes are updated to the dispatch order and sent to the driver's mobile APP in real time. Simultaneously, the new route information is synchronized to the data monitoring unit 1031 in the in-transit management module 103. The data monitoring unit 1031 immediately updates the route baseline model for this task and continues monitoring based on the new model.

[0052] The early warning unit 1032 automatically and continuously compares real-time trajectory data with the route baseline model, triggering the following three types of core early warnings: 1. Route Deviation Warning: Judgment mechanism: The system calculates the vertical distance from the vehicle's current location to the planned route. If this distance continuously exceeds a preset distance threshold (e.g., 500 meters) for a certain period of time (e.g., 5 minutes), it is determined to be a route deviation.

[0053] Warning level: Mild warning: The vehicle briefly deviates from its course but quickly returns to its original route. The system records the event but does not issue an alert.

[0054] Severe warning: If the vehicle continues to deviate, the system will immediately issue a route deviation anomaly warning to the dispatch management module 102, along with the deviation location, current speed, and duration of deviation.

[0055] 2. Progress Anomaly Warning: Judgment Mechanism: The system dynamically predicts the time it will take for a vehicle to arrive at the next critical waypoint (or destination) based on its real-time location and average speed. This predicted arrival time is then compared with the expected arrival time in the route baseline model.

[0056] Warning level: Delay warning: If the predicted arrival time is later than the expected time by more than the progress threshold (e.g., 30 minutes), the system will issue a progress delay warning.

[0057] Stall Warning: If a vehicle stays at a non-preset rest stop (such as a service area or loading / unloading site) for more than a threshold (such as 2 hours), the system will issue an abnormal stagnation warning and record the stagnation coordinates.

[0058] 3. Abnormal Status Warning: Judgment mechanism: Judgment is based on the route baseline model.

[0059] Abnormal speed: A vehicle continuously traveling at low speed on highways or experiencing drastic speed fluctuations on non-congested roads may indicate vehicle malfunction or abnormal driving behavior.

[0060] Electronic fence trigger: When a vehicle enters or leaves a preset electronic fence area (such as a restricted area or a dangerous area), the system immediately triggers a corresponding warning.

[0061] Furthermore, the in-transit management module 103 also includes an early warning coordination unit 1033; The early warning coordination unit 1033 is used to transmit early warning information to the scheduling management module 102, the settlement management module 105, and the order management module 101.

[0062] In this embodiment, when an anomaly warning is triggered, the warning coordination unit 1033 pushes the anomaly warning (including type, level, vehicle, location, and suggested measures) to the dispatch management module 102 in real time. The driver is then contacted directly via communication tools integrated into the system (such as APP voice / message) for preliminary verification. When a serious anomaly occurs that may prevent the order from being completed on time (such as prolonged stagnation or significant route deviation), the warning coordination unit 1033 sends an order fulfillment risk notification to the order management module 101 while simultaneously alerting the dispatcher. All anomaly warning events and their handling results are then recorded as in-transit event logs and fully associated with the corresponding dispatch order.

[0063] Furthermore, the unmanned metering module 104 includes a data verification unit 1041 and an order metering unit 1042; The data verification unit 1041 is used to obtain vehicle and driver identity information and match and verify it with the dispatch order and the standardized logistics order; The order measurement unit 1042 is used to perform dynamic verification of tare weight and comparison of expected gross weight after the data verification unit 1041 passes the verification, and to generate an electronic measurement voucher based on the measurement data that meets the requirements, and transmit it to the settlement management module 105.

[0064] In this embodiment, when the transport vehicle arrives at the metering point (such as a weighbridge) according to the dispatch instructions, the data verification unit 1041 of the unmanned metering module 104 obtains the task information through two means: Dispatch instruction synchronization: The dispatch management module 102 will send the dispatch order information of the vehicles that are about to arrive to the data verification unit 1041 in advance.

[0065] Active identity verification: Drivers authenticate their identity by using an ID card reader installed at the metering point or by showing the waybill QR code on their mobile app.

[0066] After reading the ID card or scanning the QR code, data verification unit 1041 immediately matches it with the dispatch order and the standardized logistics order behind it in the system. The system verifies the following key information: Whether the vehicle and driver's identities match the information specified in the dispatch order.

[0067] Is this transportation task legal and valid (status: vehicle dispatched)?

[0068] Does the planned quantity of goods match the goods information in the order (such as variety and expected weight range)?

[0069] After identity verification, the system automatically guides the vehicle to the weighing location. The weighing process (such as weighing) is completed automatically by the instrument. Then, the order weighing unit 1042 compares the current vehicle tare weight (empty vehicle weight) with the vehicle's historical tare weight data. If the current tare weight significantly deviates from the reasonable fluctuation range calculated based on historical data, the system immediately triggers a tare weight anomaly warning. This effectively identifies fraudulent behaviors such as concealing goods or adding water to increase weight. The system also compares the current gross weight (fully loaded weight) with the expected weight of the goods in the order. If the deviation exceeds the business-permitted threshold (such as ±5%), a weight deviation anomaly warning is triggered.

[0070] Only measurement data that passes all validity checks will be ultimately adopted by the system. The system automatically generates an electronic measurement voucher, which is strongly linked to information such as the dispatch order number, order number, measurement time, location, weight data before and after measurement, and a captured photo of the license plate. Drivers can confirm the measurement results through their terminal screen. After confirmation, the data is locked and uploaded to the platform center.

[0071] Before measurement, the unmanned measurement module 104 requests and verifies order data from the order management module 101; after measurement, it sends the final electronic measurement certificate back to the order management module 101. By using the expected data of the order as a benchmark for the measurement result, a fraud prevention mechanism is implemented that focuses on prevention rather than post-event investigation. Once the measurement certificate is successfully sent back, the order management module 101 can advance the status of the corresponding order to measurement completion or transit, thereby driving the entire business process to automatically flow to the next stage (such as transit management).

[0072] The unmanned metering module 104 pushes the start and completion signals of metering to the scheduling management module 102 in real time. After receiving the completion signal, the scheduling management module 102 can immediately update the status of the vehicle to be loaded and en route, so that it can be used for pre-scheduling of subsequent tasks. By analyzing the real-time queuing data of each metering point (from multiple unmanned metering modules 104), the scheduling management module 102 can dynamically optimize the vehicle dispatch order, guide vehicles to idle metering points, realize load balancing of the entire factory area or logistics park, and reduce vehicle waiting time.

[0073] The unmanned metering module 104 sends the metering completion event (as a key node in the transportation process) to the in-transit management module 103. The in-transit management module 103 can clearly mark the completion of loading and metering of the vehicle on its monitoring interface (such as a GIS map) and record the accurate start time of transportation, providing a more accurate timing starting point for subsequent in-transit progress management. For example, the system can more accurately predict the time when the vehicle arrives at its destination.

[0074] The verified electronic measurement voucher generated by the unmanned measurement module 104 is one of the core bases for the settlement management module 105 to calculate costs. When generating a settlement statement, the settlement management module 105 automatically retrieves the net weight data from this voucher as the basis for freight calculation. Since the measurement data has been automatically verified by the system, its reliability is extremely high, making automated financial settlement possible, greatly reducing the workload of manual review and reconciliation, and avoiding settlement delays caused by data disputes.

[0075] The settlement process of the settlement management module 105 is triggered by a status change in the upstream module. When the order management module 101 marks the status of a standardized logistics order as pending settlement, it sends a clear settlement instruction to the settlement management module 105. Upon receiving the instruction, the settlement management module 105 immediately initiates the settlement data aggregation process. Using an order number as the sole clue, it automatically retrieves all key data for this transportation task from various relevant modules, forming a complete settlement data package. This data package mainly includes: From Order Management Module 101: Basic Order Information (Goods, Consignor / Recipient, Contract Number).

[0076] From unmanned metering module 104: Verified electronic measurement certificate (net weight, gross weight, tare weight).

[0077] From the dispatch management module 102: information on vehicles actually in use, planned transport routes, and any approved dynamic rescheduled routes.

[0078] From the in-transit management module 103: In-transit event log (including records of route deviation, abnormal stoppage, etc.).

[0079] From Contract Price Management Module 106: Valid contract price terms linked to this order.

[0080] Pricing Mode Recognition: The engine first automatically identifies the pricing mode for this shipment based on the contract terms. Common modes include: Price based on weight: Freight = Net weight × Contract unit price.

[0081] Mileage-based pricing: Freight cost = Actual transport distance × Contract unit price / km. The actual mileage can be calculated using a GIS system based on the planned route and the actual trajectory.

[0082] Priced per trip: Fixed cost per train / ship trip.

[0083] Combined pricing: A combination of the above models, such as base price + weight price.

[0084] Basic cost calculation: Based on the identified pricing pattern, the engine calls the corresponding contract unit price and actual business data from the metering and scheduling modules to calculate the basic freight cost.

[0085] Abnormal situation fee adjustment: The engine will retrieve the in-transit event log and intelligently adjust the basic fee according to the preset business rules to realize settlement based on transportation quality.

[0086] Negative adjustment (deduction): For example, if the contract stipulates that abnormal stoppage exceeds 4 hours, 5% of the freight will be deducted. When the engine detects a stoppage event that meets the criteria in the log, it will automatically calculate the deduction amount.

[0087] Positive adjustment (compensation): For example, if the vehicle waits for longer due to reasons attributable to the consignee, a waiting time fee can be automatically calculated and added according to the contract.

[0088] Generate settlement statement: After the calculation is completed, the system automatically generates a well-structured electronic settlement statement. This statement details: basic fees, various adjustment fees, reasons for adjustments (linked to specific events in transit), and the final settlement amount.

[0089] The settlement statement is strongly linked to the source orders, dispatch orders, waybills, and measurement vouchers, forming a complete and traceable data chain.

[0090] With orders as the main thread, it automatically aggregates trusted data from the entire chain, providing a complete and consistent data foundation for automated settlement. It codifies complex contract terms and business rules, realizing fully automated processing from basic cost calculation to dynamic adjustments based on service quality. It links the performance of the transportation process with the settlement amount, achieving refined and high-quality management and settlement of logistics transportation. Through deep integration with upstream business modules and backend financial systems, it constructs an efficient closed loop where settlement is triggered upon business completion and financial vouchers are generated upon settlement completion. It is a model practice of business-finance integration.

[0091] Furthermore, the intelligent logistics warehousing autonomous metering and management platform also includes a data integration module 107; The data integration module 107 is used to interact with upstream and downstream systems through API interfaces.

[0092] In this embodiment, data interaction with upstream and downstream systems (such as ERP, testing and inspection systems, and online freight platforms) is achieved through API interfaces to realize data sharing and closed-loop management across the entire supply chain.

[0093] Furthermore, the intelligent logistics warehousing autonomous metering and management platform also includes a data display module 108; The data display module 108 is used to display the standardized logistics order, the dispatch order, and the vehicle location and driving trajectory collected by the in-transit management module 103.

[0094] In this embodiment, a logistics data dashboard display function is provided, which presents the standardized logistics orders, the dispatch orders, and key indicators such as order status, transit information, and transportation efficiency in the in-transit management module 103 in real time, and supports multi-dimensional data analysis and report generation.

[0095] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0096] Accordingly, this application also provides an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent logistics warehousing autonomous metering and management platform as described above. Figure 7 The diagram shown is a hardware structure diagram of any device with data processing capabilities, which is part of an intelligent logistics warehousing autonomous metering and management platform provided in an embodiment of the present invention. (Except for...) Figure 7 In addition to the processor, memory, and network interface shown, any data processing device in the embodiment may also include other hardware depending on the actual function of the data processing device, which will not be described in detail here.

[0097] Accordingly, this application also provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the intelligent logistics warehousing autonomous metering and management platform described above. The computer-readable storage medium can be an internal storage unit of any data-processing device as described in any of the foregoing embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, smart media card (SMC), SD card, flash card, etc., equipped on the device. Furthermore, the computer-readable storage medium can include both internal storage units of any data-processing device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the data-processing device, and can also be used to temporarily store data that has been output or will be output.

[0098] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0099] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. An intelligent logistics warehousing autonomous metering and management platform, characterized in that, The intelligent logistics warehousing autonomous metering and management platform includes an order management module, a dispatch management module, an in-transit management module, an unmanned metering module, a settlement management module, and a contract price management module. The order management module is used to receive logistics plan data from the upstream ERP system or web page, generate standardized logistics orders, and assign them to the scheduling management module according to preset allocation rules. The scheduling management module is used to generate a dispatch order and the optimal transportation route based on the standardized logistics order generated by the order management module, as well as the transportation mode and resource status, and to make feedback adjustments based on the early warning information fed back by the in-transit management module. The on-the-way management module is used to monitor the on-the-way status and issue early warnings for abnormalities based on the dispatch order and the optimal transportation route, combined with the obtained vehicle location and driving trajectory. The unmanned metering module is used for identity authentication and automatic metering, and associates the metering data with the standardized logistics order and the dispatch order to generate electronic metering vouchers and transmit them to the settlement management module. The settlement management module is used to extract the electronic measurement vouchers from the in-transit management module and the unmanned measurement module to generate a settlement statement based on the contract terms and settlement strategy in the contract price management module; The contract price management module is used to provide electronic contract template management, contract catalog generation, and price ledger maintenance.

2. The intelligent logistics warehousing autonomous metering and management platform as described in claim 1, characterized in that, The order management module includes an order receiving unit, an order generation unit, and an order allocation unit; The order receiving unit is used to obtain logistics plans from the upstream ERP system through a predetermined data interface, and to obtain logistics plans generated through a webpage. The order generation unit is used to clean and complete the data in the logistics plan, and after format standardization, mark the generated standardized logistics orders as pending allocation and generate corresponding order numbers. The order allocation unit is used to assign the standardized logistics orders marked as pending allocation according to the generated recommendation list based on the preset allocation rules, and change the standardized logistics orders to allocated, while transmitting the data to the scheduling management module in real time.

3. The intelligent logistics warehousing autonomous metering and management platform as described in claim 2, characterized in that, The order management module also includes a rule generation unit; The rule generation unit is used to generate allocation rules based on the transportation resources, contract prices, and contract types in the contract price management module.

4. The intelligent logistics warehousing autonomous metering and management platform as described in claim 1, characterized in that, The scheduling management module includes a vehicle dispatch order generation unit and a transportation route planning unit; The dispatch order generation unit is used to query the resource status database of the designated carriers based on the standardized logistics orders transmitted by the order management module, match the corresponding vehicle resources, generate a dispatch order, and transmit it to the in-transit management module. The transportation route planning unit is used to calculate multiple alternative routes based on the origin and destination in the dispatch order, evaluate the multiple alternative routes with various weights, obtain the optimal transportation route according to the preset target weight, and write it into the dispatch order.

5. The intelligent logistics warehousing autonomous metering and management platform as described in claim 4, characterized in that, The scheduling management module also includes an anomaly adjustment unit; The anomaly adjustment unit is used to verify information based on the early warning information generated by the in-transit management module, and when it is determined that the optimal transportation route is impassable, to issue a route replanning instruction to the transportation route planning unit.

6. The intelligent logistics warehousing autonomous metering and management platform as described in claim 4, characterized in that, The scheduling management module also includes a status synchronization unit; The status synchronization unit is used to update the status of the dispatch order and release the corresponding vehicle resources when the arrival instruction generated by the in-transit management module and the task completion instruction obtained are received.

7. The intelligent logistics warehousing autonomous metering and management platform as described in claim 1, characterized in that, The in-transit management module includes a data monitoring unit and an early warning unit; The data monitoring unit is used to receive real-time trajectory data streams transmitted back by the positioning device bound to the dispatch order in real time, according to the dispatch order. The early warning unit is used to perform route deviation warning, progress abnormality warning and status abnormality warning based on the real-time trajectory data stream; wherein, the route deviation warning is calculated by calculating the vertical distance from the vehicle's current location to the planned route, and when the vertical distance exceeds a preset distance threshold and continues for a preset time, the route deviation is determined and an early warning is issued; The progress anomaly warning is based on the vehicle's real-time location and average speed to calculate the time to arrive at the next critical path point. The predicted arrival time is compared with the expected arrival time of the optimal transportation route. If the predicted arrival time is later than the expected arrival time and exceeds the progress threshold, an warning is issued. Anomaly warning is issued when an abnormal vehicle speed or a speed difference deviation exceeds a status threshold.

8. The intelligent logistics warehousing autonomous metering and management platform as described in claim 7, characterized in that, The in-transit management module also includes an early warning and coordination unit; The early warning coordination unit is used to transmit early warning information to the scheduling management module, the settlement management module, and the order management module.

9. The intelligent logistics warehousing autonomous metering and management platform as described in claim 1, characterized in that, The intelligent logistics warehousing autonomous metering and management platform also includes a data integration module; The data integration module is used to interact with upstream and downstream systems via API interfaces.

10. The intelligent logistics warehousing autonomous metering and management platform as described in claim 1, characterized in that, The intelligent logistics warehousing autonomous metering and management platform also includes a data display module; The data display module is used to display the standardized logistics orders, the dispatch orders, and the vehicle locations and driving trajectories collected by the in-transit management module.

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