Digital hierarchical scheduling logistics management system
Through the digital hierarchical scheduling logistics management system, default and backup logistics solutions are provided, and users can choose expedited logistics solutions as needed, solving the problem of low processing efficiency of mid-time expedited items in the existing technology, and achieving more efficient logistics and transportation and more High customer satisfaction.
Patent Information
- Application Number
- CN202411535017.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-30
- Publication Date
- 2025-02-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When handling the expedited items in the middle, the existing digital logistics system needs to reschedule and transport, resulting in too large differences in the transportation efficiency between the expedited items and ordinary parts, affecting the normal transportation of ordinary logistics, and thus causing dissatisfaction among ordinary parts customers.
Provide a digital hierarchical scheduling logistics management system, including an order analysis unit, an order scheduling unit and an intermediate scheduling unit. The order analysis unit matches each logistics order with the default logistics plan and the backup logistics plan, and the capacity and efficiency of the backup logistics plan are higher than that of the default logistics plan. The midway dispatching unit provides a solution selection interface before the goods arrive at each dispatching node. Users can choose an accelerated logistics plan as needed. If a backup logistics plan is selected, the overall route of the default logistics plan will be cancelled and subsequent idle capacity will be transferred back to the order analysis unit. .
Through this system, users can flexibly choose logistics solutions according to their needs, improving transportation efficiency and customer satisfaction, while avoiding waste of capacity and ensuring that ordinary logistics can obtain more distributed capacity.
Smart Images
Figure CN119417364A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of logistics and transportation, and in particular to a digital hierarchical scheduling logistics management system. Background Art
[0002] With the rapid development of the logistics industry, the demand for real-time tracking and management of logistics freight is increasing. Digital freight refers to a new freight model that uses digital technology to optimize and improve the freight process in order to improve freight efficiency, reduce freight costs, and improve freight safety and service quality. This freight model enables freight companies and users to understand the freight transportation situation more quickly and accurately.
[0003] However, when existing digital logistics handles expedited items in transit, the need to re-dispatch and transport them often occupies the capacity of ordinary logistics transportation, resulting in a large difference in transportation efficiency between expedited items and ordinary items, affecting the normal transportation of ordinary logistics, and thus causing dissatisfaction among ordinary customers. Summary of the invention
[0004] The purpose of the present invention is to provide a digital hierarchical scheduling logistics management system to solve the deficiencies in the above-mentioned prior art.
[0005] In order to achieve the above object, the present invention provides the following technical solutions:
[0006] A digital hierarchical scheduling logistics management system, comprising:
[0007] The order analysis unit is responsible for conducting digital analysis on the logistics order information received by the system, performing online calculation and pre-optimization based on key parameters in the logistics process, and matching the corresponding default logistics plan and backup logistics plan respectively. The capacity and efficiency of the backup logistics plan are higher than those of the default logistics plan, and the default logistics plan has several scheduling nodes that overlap with the backup logistics plan.
[0008] The order scheduling unit matches the corresponding logistics plan according to the priority determined by the customer when locking the order. If the default logistics plan is selected, the backup logistics plan will be on standby;
[0009] The mid-course dispatch unit includes an interactive module and a response module. The interactive module provides a solution selection interface before the goods arrive at each dispatch node. When the interactive module receives an expedited demand from the user, the response module changes the logistics transportation route from the next dispatch node and matches and integrates it with the backup logistics solution.
[0010] If an alternative logistics plan is selected during logistics transportation, the entire route of the default logistics plan will be cancelled, and the subsequent idle capacity in the default logistics plan will be counted and transmitted back to the order analysis unit.
[0011] Preferably, the order analysis unit includes a capacity access module, which has an initial capacity database and a recovered capacity database. The subsequent idle capacity after the default logistics plan is interrupted is stored in the recovered capacity database, and the calling priority of the recovered capacity database is higher than that of the initial capacity database.
[0012] Preferably, the transport capacity in the transport capacity recovery database is indiscriminately adopted in the analysis of other orders except the corresponding order, and the order analysis unit calls the data in the transport capacity recovery database respectively when analyzing the default logistics plan and the backup logistics plan of the logistics order.
[0013] Preferably, the mid-course scheduling unit includes a logistics information platform, which is used to collect, store and process various types of data in the entire logistics process, including but not limited to order information, transportation information, warehousing information, distribution information and user instruction information, and adjusts the displayed information according to the instructions received by the interactive module.
[0014] Preferably, the response module uses an artificial intelligence algorithm to perform intelligent scheduling and seamless route planning based on the overlapping scheduling nodes between the default logistics plan and the backup logistics plan and the data stored in the logistics information platform.
[0015] Preferably, the logistics information platform includes a visual comparison module, which compares the logistics solution adopted in real time with another logistics solution that has not been adopted, and gives suggestions after big data calculation.
[0016] Preferably, the order analysis module includes a monitoring and early warning module, which shares data with the logistics information platform and is used to monitor each link in the logistics process in real time, including the location, speed, load information of logistics vehicles, and the temperature and humidity of the warehouse, and sends data to the logistics information platform when an abnormal situation is found, and the data is reflected in the comparison data through the visual comparison module.
[0017] Preferably, the monitoring and early warning module monitors the default logistics plan adopted and the alternative logistics plan not adopted in the logistics order respectively. If the data feedback from the monitoring and early warning module causes the transportation efficiency of the alternative logistics plan to be lower than that of the default logistics plan, a prompt interface will pop up when the user adjusts the plan through the interactive module.
[0018] Preferably, the logistics information platform uses dual-channel frequency division transmission technology to collect various types of data, and the real-time logistics plan data transmission frequency is greater than the unadopted logistics plan data transmission frequency.
[0019] Preferably, when there is no available transportation capacity in the backup logistics plan, the plan selection interface in the interactive module is changed to a plan adjustment interface, and the display content in the plan adjustment interface is the logistics plan recalculated by the order analysis unit according to the real-time transportation situation.
[0020] In the above technical solution, the logistics order is first allowed to obtain a default logistics plan and a backup logistics plan through the order analysis unit, wherein the efficiency of the backup logistics plan exceeds that of the default logistics plan. When placing an order, the user can make an initial selection of the plan through the order scheduling unit. If the backup logistics plan is not selected at this time, the user will be provided with multiple opportunities to change through the mid-way scheduling unit at the nodes of the transportation process. After the user changes to the backup logistics plan, the subsequent capacity data in the default logistics plan of the order will be transmitted back to the order analysis unit, and the capacity data will be called in the order analysis unit for the next order, so that data are extracted and integrated during the analysis process of the default logistics plan and the backup logistics plan. On the premise of ensuring the implementation of order priority adjustment, capacity waste is prevented, so that ordinary logistics can obtain more allocable capacity.
[0021] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
[0022] This application document provides an overview of various implementations or examples of the technology described in the present disclosure, and is not a comprehensive disclosure of the entire scope or all features of the disclosed technology.
[0023] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.
[0025] Figure 1 It is an overall schematic diagram of a digital hierarchical scheduling logistics management system of the present invention;
[0026] Figure 2 It is a schematic diagram of the operation of a transport capacity storage and access module in a digital hierarchical scheduling logistics management system of the present invention; DETAILED DESCRIPTION
[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings of the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the described embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.
[0028] See also Figure 1-2 , a digital hierarchical scheduling logistics management system provided by an embodiment of the present invention includes:
[0029] The order analysis unit is responsible for conducting digital analysis on the logistics order information received by the system, performing online calculation and pre-optimization based on key parameters in the logistics process, and matching the corresponding default logistics plan and backup logistics plan respectively. The capacity and efficiency of the backup logistics plan are higher than those of the default logistics plan, and the default logistics plan has several scheduling nodes that overlap with the backup logistics plan.
[0030] The order scheduling unit matches the corresponding logistics plan according to the priority determined by the customer when locking the order. If the default logistics plan is selected, the backup logistics plan will be on standby;
[0031] The mid-course dispatch unit includes an interactive module and a response module. The interactive module provides a solution selection interface before the goods arrive at each dispatch node. When the interactive module receives an expedited demand from the user, the response module changes the logistics transportation route from the next dispatch node and matches and integrates it with the backup logistics solution.
[0032] If an alternative logistics plan is selected during logistics transportation, the entire route of the default logistics plan will be cancelled, and the subsequent idle capacity in the default logistics plan will be counted and transmitted back to the order analysis unit.
[0033] Specifically, the system first receives logistics order information from customers or e-commerce platforms, including the type of goods, quantity, origin, destination, expected delivery time, etc. The order analysis unit is responsible for conducting digital analysis of the logistics order information received by the system, and using big data processing technology and machine learning algorithms to conduct in-depth analysis of the order information, identify key parameters in the logistics process, such as transportation distance, traffic conditions, and cargo characteristics, and then based on the analysis results, calculate the optimal default logistics plan and backup logistics plan online. The default logistics plan focuses on cost-effectiveness, while the backup logistics plan emphasizes transportation speed and flexibility. The two overlap at some scheduling nodes to facilitate quick switching. The amount paid by users of different plans will vary. The order scheduling unit matches the corresponding logistics plan according to the priority determined by the customer when locking the order (such as urgency, payment status, etc.). If the default logistics plan is selected, the backup logistics plan will be on standby, and the backup logistics plan will be on standby. The selected logistics plan will then be issued to the relevant transportation department to start executing logistics tasks. During the cargo transportation process, whenever a scheduling node is approached, the interactive module in the mid-way scheduling module, that is, SMS, APP push, etc., will provide the customer with a plan selection interface to ask whether expedited processing is required. When the interactive module receives the expedited demand feedback from the user, the response mechanism will be activated through the response module to change the logistics transportation route from the next scheduling node, and match and integrate it with the backup logistics plan to ensure a rapid response to customer needs. If a backup logistics plan is selected during the logistics transportation, the overall route of the default logistics plan will be cancelled. At the same time, the subsequent idle capacity in the default logistics plan will be counted and transmitted back to the order analysis unit, so that the capacity data can be called in the order analysis unit for the next order, so that data can be extracted and integrated during the analysis of the default logistics plan and the backup logistics plan, while ensuring the implementation of order priority adjustments and preventing capacity waste.
[0034] Compared with the prior art, the embodiment of the present invention first allows the logistics order to obtain a default logistics plan and a backup logistics plan through an order analysis unit, wherein the efficiency of the backup logistics plan exceeds that of the default logistics plan. When placing an order, the user can make an initial selection of the plan through the order scheduling unit. If the backup logistics plan is not selected at this time, the user will be provided with multiple opportunities to change through the mid-way scheduling unit at the nodes of the transportation process. After the user changes to the backup logistics plan, the subsequent capacity data in the default logistics plan of the order will be transmitted back to the order analysis unit, and the capacity data will be called in the order analysis unit for the next order, so that data are extracted and integrated during the analysis process of the default logistics plan and the backup logistics plan. On the premise of ensuring the implementation of order priority adjustment, capacity waste is prevented, so that ordinary logistics can obtain more available capacity for allocation.
[0035] In a further embodiment of the present invention, the order analysis unit includes a capacity access module, which has an initial capacity database and a recovered capacity database. The subsequent idle capacity after the interruption of the default logistics plan is stored in the recovered capacity database, and the calling priority of the recovered capacity database is higher than that of the initial capacity database. Specifically, when the default logistics plan is interrupted for some reason (such as customer cancellation of order, change of transportation route, etc.), the subsequent idle capacity originally reserved for the plan will be automatically recovered and stored in the recovered capacity database. The capacity resources in the recovered capacity database have a higher calling priority, that is, the next time the logistics plan is matched or the capacity is allocated, the system will first try to use the resources in the recovered capacity database to maximize the utilization efficiency of the capacity and reduce resource waste, thereby realizing intelligent management and efficient allocation of logistics capacity, which not only improves the utilization efficiency of the capacity, but also reduces resource waste, and provides a strong guarantee for the smooth progress of logistics transportation.
[0036] In a further embodiment of the present invention, the capacity in the recovered capacity database is indiscriminately adopted in the analysis of remaining orders except the corresponding orders. When analyzing the default logistics plan and the backup logistics plan of the logistics order, the order analysis unit respectively calls the data in the recovered capacity database. Specifically, when the order analysis unit analyzes and processes the new logistics order, the formed default logistics plan and the backup logistics plan can call the recovered capacity data, so that the idle capacity can be fully called, so that the capacity in the default logistics plan in other orders can also become the capacity in the backup logistics plan in other orders.
[0037] In a further embodiment of the present invention, the midway dispatch unit includes a logistics information platform, which is used to collect, store and process various types of data in the entire logistics process, including but not limited to order information, transportation information, warehousing information, distribution information and user instruction information. It adjusts the displayed information according to the instructions received by the interactive module. Specifically, the collected data is securely stored in the database of the logistics information platform to ensure the integrity and traceability of the data. At the same time, efficient data compression and encryption technology is used to ensure the security and privacy of the data. According to the user instructions received by the interactive module (such as plan changes, query logistics status, etc.), the logistics information platform can quickly adjust the displayed information content according to the feedback of the interactive module. For example, when the user proposes a plan change, the platform will immediately update the transportation information of the changed plan, display the new transportation route and estimated arrival time, and when the user queries the logistics status, the platform will feedback the current location and transportation status of the goods in real time. This flexible information display mechanism improves user experience and satisfaction.
[0038] In a further embodiment of the present invention, the response module uses an artificial intelligence algorithm to perform intelligent scheduling and seamless route planning based on the overlapping scheduling nodes between the default logistics plan and the backup logistics plan and the data stored in the logistics information platform. Specifically, the system first automatically identifies and extracts the scheduling nodes involved in the default logistics plan and the backup logistics plan. These nodes are the key points for optimizing the scheduling path and improving transportation efficiency. Then, it seamlessly connects to the logistics information platform to obtain multi-dimensional data including vehicle location, cargo status, road congestion, weather changes, etc. in real time, providing comprehensive and accurate information support for intelligent scheduling to ensure the smoothness and integrity of the route.
[0039] In a further embodiment of the present invention, the logistics information platform includes a visualization comparison module, which compares the logistics plan adopted in real time with another logistics plan that has not been adopted, and gives suggestions after big data calculation. Specifically, at the visualization display level, the visualization comparison module can receive two logistics plan data from the data processing layer, one of which is the default logistics plan currently being executed, and the other is an unadopted backup logistics plan. Through an API interface or a data synchronization mechanism, the execution data of the order, such as the real-time location of the vehicle, transportation progress, etc., is obtained from the logistics system in real time. At the same time, simulation data or preset data of the backup logistics plan is obtained from the logistics information platform, and big data analysis technology is used to deeply mine and analyze the historical data, real-time data and external data of the two plans. By constructing prediction models, cost-benefit analysis and other algorithms, the comprehensive performance of the two plans is evaluated. Based on the analysis results, the system automatically generates optimization suggestions for display to users.
[0040] In a further embodiment of the present invention, the order analysis module includes a monitoring and early warning module, which shares data with the logistics information platform and is used to monitor each link in the logistics process in real time, including the location, speed, load information of logistics vehicles, and the temperature and humidity of the warehouse, and sends data to the logistics information platform when an abnormal situation is found, and reflects it in the comparison data through the visualization comparison module. Specifically, the information data monitored by the monitoring and early warning module is added to the visualization comparison module to further enhance the timeliness and diversity of the comparison data, so that the suggestions given after the comparison are more humane and more in line with the actual situation of the order.
[0041] In a further embodiment of the present invention, the monitoring and early warning module respectively monitors the default logistics plan adopted and the alternative logistics plan not adopted in the logistics order. If the data fed back by the monitoring and early warning module causes the transportation efficiency of the alternative logistics plan to be lower than that of the default logistics plan, then when the user adjusts the plan through the interactive module, a prompt interface pops up, and the prompt interface has a display time of no less than 10 seconds. Specifically, under normal circumstances, the efficiency of the alternative logistics plan exceeds the default logistics plan, but it is not ruled out that the efficiency of the alternative logistics plan decreases after the monitoring and early warning module detects some data that affects the efficiency of the alternative logistics plan, and is lower than the default logistics plan that has been executed. At this time, if the user selects the alternative logistics plan through the interactive module, a prompt interface will pop up first to tell the user that the alternative logistics plan has changed and the expected delivery time has been delayed. The user will be reminded, but the user will not be prevented from continuing to change.
[0042] In a further embodiment of the present invention, the logistics information platform adopts dual-channel frequency division transmission technology to collect various types of data and establishes two independent data transmission channels, namely, a "real-time channel" and a "backup channel". The data transmission frequency of the real-time logistics plan is greater than the data transmission frequency of the unadopted logistics plan. Specifically, the real-time channel is specifically used to transmit relevant data of the real-time logistics plan, including but not limited to the real-time location of the vehicle, cargo status update, user command response, etc., while the backup channel is used to transmit unadopted backup logistics plan data, historical data backup and other non-real-time information. Different data transmission frequencies are set for the two channels respectively. The real-time channel adopts a high-frequency transmission mode to ensure that the data of the real-time logistics plan can be quickly and accurately transmitted to the logistics information platform, so as to respond to logistics changes in a timely manner and optimize scheduling decisions. Specifically, the data transmission frequency of the real-time logistics plan can be set to multiple times per second or multiple times per millisecond according to actual needs. In contrast, the backup channel adopts a low-frequency transmission mode to save network resources while meeting the long-term storage and on-demand query requirements of unadopted logistics plan data.
[0043] In a further embodiment of the present invention, when there is no available transportation capacity in the backup logistics plan, the plan selection interface in the interactive module is changed to a plan adjustment interface, and the display content in the plan adjustment interface is the logistics plan recalculated by the order analysis unit according to the real-time transportation situation. Specifically, when the transportation capacity in the backup logistics plan is tight, resulting in the inability to implement the backup logistics plan, when the user changes the plan through the interactive module of the mid-course scheduling unit, the original backup logistics plan cannot be selected, and the logistics plan is reintegrated through the order analysis unit relying on the existing transportation capacity, and the efficiency of the new logistics plan is made higher than the real-time logistics plan, thereby ensuring that users can be met when they have urgent needs, thereby improving customer satisfaction and customer stickiness.
[0044] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that, for those skilled in the art, the described embodiments can be modified in various ways without departing from the spirit and scope of the present invention. Therefore, the above description is illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.
Claims
1. A digital hierarchical scheduling logistics management system, characterized in that: include: The order analysis unit is responsible for conducting digital analysis on the logistics order information received by the system, performing online calculation and pre-optimization based on key parameters in the logistics process, and matching the corresponding default logistics plan and backup logistics plan respectively. The capacity and efficiency of the backup logistics plan are higher than those of the default logistics plan, and the default logistics plan has several scheduling nodes that overlap with the backup logistics plan. The order scheduling unit matches the corresponding logistics plan according to the priority determined by the customer when locking the order. If the default logistics plan is selected, the backup logistics plan will be on standby; The mid-course dispatch unit includes an interactive module and a response module. The interactive module provides a solution selection interface before the goods arrive at each dispatch node. When the interactive module receives an expedited demand from the user, the response module changes the logistics transportation route from the next dispatch node and matches and integrates it with the backup logistics solution. If an alternative logistics plan is selected during logistics transportation, the entire route of the default logistics plan will be cancelled, and the subsequent idle capacity in the default logistics plan will be counted and transmitted back to the order analysis unit.
2. A digital hierarchical scheduling logistics management system according to claim 1, characterized in that: The order analysis unit includes a capacity access module, which has an initial capacity database and a recovered capacity database. The subsequent idle capacity after the default logistics plan is interrupted is stored in the recovered capacity database, and the calling priority of the recovered capacity database is higher than that of the initial capacity database.
3. A digital hierarchical scheduling logistics management system according to claim 2, characterized in that: The transport capacity in the transport capacity recovery database is indiscriminately adopted in the analysis of other orders except the corresponding order. When analyzing the default logistics plan and the backup logistics plan of the logistics order, the order analysis unit calls the data in the transport capacity recovery database respectively.
4. A digital hierarchical scheduling logistics management system according to claim 1, characterized in that: The mid-course scheduling unit includes a logistics information platform, which is used to collect, store and process various types of data in the entire logistics process, including but not limited to order information, transportation information, warehousing information, distribution information and user instruction information, and adjusts the displayed information according to the instructions received by the interactive module.
5. A digital hierarchical scheduling logistics management system according to claim 1, characterized in that: The response module uses artificial intelligence algorithms to perform intelligent scheduling and seamless route planning based on the overlapping scheduling nodes between the default logistics plan and the backup logistics plan and the data stored in the logistics information platform.
6. A digital hierarchical scheduling logistics management system according to claim 4, characterized in that: The logistics information platform includes a visual comparison module, which compares the logistics plan adopted in real time with another logistics plan that has not been adopted, and gives suggestions after big data calculation.
7. A digital hierarchical scheduling logistics management system according to claim 6, characterized in that: The order analysis module includes a monitoring and early warning module, which shares data with the logistics information platform and is used to monitor each link in the logistics process in real time, including the location, speed, load information of logistics vehicles, and the temperature and humidity of the warehouse. When an abnormal situation is found, data is sent to the logistics information platform and reflected in the comparison data through the visual comparison module.
8. A digital hierarchical scheduling logistics management system according to claim 7, characterized in that: The monitoring and early warning module monitors the default logistics plan adopted and the alternative logistics plan not adopted in the logistics order respectively. If the data feedback from the monitoring and early warning module causes the transportation efficiency of the alternative logistics plan to be lower than that of the default logistics plan, a prompt interface will pop up when the user adjusts the plan through the interactive module.
9. A digital hierarchical scheduling logistics management system according to claim 4, characterized in that: The logistics information platform adopts dual-channel frequency division transmission technology to collect various types of data, and the data transmission frequency of the real-time logistics plan is greater than the data transmission frequency of the unadopted logistics plan.
10. A digital hierarchical scheduling logistics management system according to claim 1, characterized in that: When there is no available transportation capacity in the backup logistics plan, the plan selection interface in the interactive module is changed to a plan adjustment interface, and the display content in the plan adjustment interface is the logistics plan recalculated by the order analysis unit according to the real-time transportation situation.