Short-distance logistics management method and system supporting instant handover

Abstract

The invention discloses a short-distance logistics management method and system supporting instant handover, and relates to the technical field of logistics data management, and the method comprises the steps: carrying out the instant handover node recognition according to a short-distance logistics task, and generating a logistics instant handover chain; multi-node logistics resource joint scheduling is carried out, and a logistics resource scheduling first space is established; performing evaluation, inspection and optimization to generate a logistics resource scheduling second space; performing variation expansion to obtain a logistics resource scheduling third space; carrying out logistics scheduling optimization moderate maximization optimization, and generating a logistics resource scheduling optimization strategy; and executing a short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimization strategy. The technical problems that in the prior art, short-distance logistics task scheduling efficiency is low, resource allocation is unreasonable, and handover node management lags behind are solved, and the technical effects that task execution efficiency is improved, and management flexibility and the intelligent level are improved are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to logistics data management, and specifically to a short-distance logistics management method and system supporting instant delivery. Background Art

[0002] Short-distance logistics involves the transportation of goods from one location to another. Its main characteristics are short transportation distance, frequent handovers, and strict time requirements. How to efficiently manage and dispatch short-distance logistics resources to ensure that goods can be handed over in the shortest time and improve the utilization efficiency of logistics resources has become a technical problem that needs to be solved in the logistics industry. Traditional short-distance logistics management methods usually rely on manual scheduling, which has low scheduling efficiency, information lag, and uneven resource allocation, leading to many bottlenecks in the logistics process. For example, when there are many logistics tasks and many handover nodes, the dispatcher cannot grasp the real-time status of all logistics resources in time, making it difficult to achieve optimal scheduling.

[0003] Therefore, in the current relevant technologies, there are technical problems such as low efficiency in short-distance logistics task scheduling, unreasonable resource allocation, and lagging handover node management. Summary of the invention

[0004] This application solves the technical problems of low efficiency in short-distance logistics task scheduling, unreasonable resource allocation, and lagging handover node management in the prior art by providing a short-distance logistics management method and system that supports instant handover, thereby achieving the technical effect of improving task execution efficiency, enhancing management flexibility and intelligence level.

[0005] The present application provides a short-distance logistics management method that supports instant handover, and the method includes: identifying instant handover nodes according to short-distance logistics tasks to generate a logistics instant handover chain; jointly scheduling multi-node logistics resources for the short-distance logistics tasks according to the logistics instant handover chain to establish a first logistics resource scheduling space; introducing a logistics scheduling evaluation and inspection channel to evaluate and inspect the first logistics resource scheduling space to optimize and generate a second logistics resource scheduling space; mutating and expanding the second logistics resource scheduling space according to logistics scheduling variation constraint rules to obtain a third logistics resource scheduling space; maximizing the logistics scheduling optimality of the third logistics resource scheduling space according to a logistics scheduling optimality parser to generate a logistics resource scheduling optimization strategy; executing the short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimization strategy.

[0006] In a possible implementation, the short-distance logistics management method that supports instant handover also performs the following processing: collecting logistics resource information based on the logistics instant handover chain to obtain multiple node logistics resource data sets; organizing the multiple node logistics resource data sets to establish multiple node logistics resource spaces; scheduling logistics resources for the short-distance logistics tasks based on the multiple node logistics resource spaces to obtain multiple node logistics resource scheduling decision sets; combining multiple node logistics resource scheduling decisions based on the multiple node logistics resource scheduling decision sets to generate the first logistics resource scheduling space.

[0007] In a possible implementation, the short-distance logistics management method that supports instant handover also performs the following processing: the logistics scheduling evaluation and inspection channel includes a logistics scheduling evaluator and a logistics scheduling verifier; traverse the first logistics resource scheduling space to extract the first logistics resource scheduling plan; input the first logistics resource scheduling plan into the logistics scheduling evaluator to obtain a first logistics scheduling evaluation result, wherein the logistics scheduling evaluator includes a logistics scheduling timeliness evaluation model, a logistics resource utilization evaluation model and a logistics cargo loss evaluation model; input the first logistics scheduling evaluation result into the logistics scheduling verifier to obtain a first logistics scheduling inspection result; when the first logistics scheduling inspection result is unqualified, eliminate the first logistics resource scheduling plan; when the first logistics scheduling inspection result is qualified, add the first logistics resource scheduling plan to the second logistics resource scheduling space.

[0008] In a possible implementation, the short-distance logistics management method that supports instant handover also performs the following processing: the logistics scheduling verifier includes a logistics scheduling verification operator, and the logistics scheduling verification operator includes: if the first logistics scheduling evaluation result satisfies the logistics scheduling evaluation constraints, the first logistics scheduling verification result is qualified, wherein the logistics scheduling evaluation constraints include logistics scheduling timeliness constraints, logistics resource utilization constraints and logistics cargo loss constraints; if the first logistics scheduling evaluation result does not satisfy the logistics scheduling evaluation constraints, the first logistics scheduling verification result is unqualified.

[0009] In a possible implementation, the short-distance logistics management method that supports instant handover also performs the following processing: calculating the variation characteristic parameters of the second space of logistics resource scheduling according to the logistics scheduling variation constraint rules to obtain the logistics scheduling variation characteristic distribution; mutating the second space of logistics resource scheduling according to the logistics scheduling variation characteristic distribution to obtain the logistics resource scheduling variation space; evaluating and inspecting the logistics resource scheduling variation space according to the logistics scheduling evaluation and inspection channel to generate a logistics resource scheduling variation optimization space; expanding the second space of logistics resource scheduling according to the logistics resource scheduling variation optimization space to obtain the third space of logistics resource scheduling.

[0010] In a possible implementation, the short-distance logistics management method that supports instant handover also performs the following processing: the logistics scheduling variation constraint rules include a basic quantity of logistics scheduling variation; extracting the nth logistics resource scheduling plan within the second space of the logistics resource scheduling, where n is a positive integer; loading the nth logistics scheduling evaluation result corresponding to the nth logistics resource scheduling plan according to the logistics scheduling evaluation inspection channel; performing a variation value evaluation on the nth logistics resource scheduling plan according to the nth logistics scheduling evaluation result to obtain a variation value coefficient of the nth plan; performing an incentive adjustment on the basic quantity of logistics scheduling variation according to the nth plan variation value coefficient to generate an nth variation feature quantity, and adding the nth variation feature quantity to the logistics scheduling variation feature distribution.

[0011] In a possible implementation, the short-distance logistics management method supporting instant handover further performs the following processing: the logistics scheduling optimality parser includes a logistics scheduling optimality parsing function, and the logistics scheduling optimality parsing function is: ; Among them, OLS represents the optimality of logistics scheduling, OLK represents the analytic factor of logistics scheduling optimality, OLK>1, G(TES) represents the normalized timeliness of logistics scheduling, TESW represents the timeliness-weight of logistics scheduling, G(LRX) represents the normalized logistics resource utilization, LRXW represents the logistics resource utilization-weight, G(LCX) represents the normalized logistics cargo loss coefficient, and LCXW represents the logistics cargo loss weight.

[0012] The present application also provides a short-distance logistics management system that supports instant handover, including: an instant handover node identification module, which is used to identify instant handover nodes according to short-distance logistics tasks and generate a logistics instant handover chain; a logistics resource joint scheduling module, which is used to perform multi-node logistics resource joint scheduling for the short-distance logistics tasks according to the logistics instant handover chain, and establish a first logistics resource scheduling space; an evaluation, inspection and optimization module, which is used to introduce a logistics scheduling evaluation and inspection channel to evaluate, inspect and optimize the first logistics resource scheduling space, and generate a second logistics resource scheduling space; a mutation and expansion module, which is used to perform mutation and expansion on the second logistics resource scheduling space according to the logistics scheduling mutation constraint rules, and obtain a third logistics resource scheduling space; a scheduling optimization strategy generation module, which is used to perform logistics scheduling optimal maximization optimization on the third logistics resource scheduling space according to a logistics scheduling optimality parser, and generate a logistics resource scheduling optimization strategy; a short-distance logistics task execution module, which is used to execute the short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimization strategy.

[0013] The short-distance logistics management method and system that supports instant handover proposed in this application is to identify instant handover nodes according to short-distance logistics tasks and generate logistics instant handover chains; conduct joint scheduling of multi-node logistics resources to establish the first space for logistics resource scheduling; conduct evaluation and inspection optimization to generate the second space for logistics resource scheduling; conduct variation and expansion to obtain the third space for logistics resource scheduling; conduct optimal maximization of logistics scheduling to generate logistics resource scheduling optimization strategies; and execute short-distance logistics tasks according to logistics instant handover chains and logistics resource scheduling optimization strategies. The technical problems of low scheduling efficiency of short-distance logistics tasks, unreasonable resource allocation, and lagging handover node management in the prior art are solved, and the technical effects of improving task execution efficiency, management flexibility, and intelligence level are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A flow chart of a short-distance logistics management method supporting instant handover provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a short-distance logistics management system supporting instant handover provided in an embodiment of the present application.

[0016] Explanation of the reference numerals: instant handover node identification module 10, logistics resource joint scheduling module 20, evaluation and inspection optimization module 30, variation and expansion module 40, scheduling optimization strategy generation module 50, short-distance logistics task execution module 60. DETAILED DESCRIPTION

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0018] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0019] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0020] The present application embodiment provides a short-distance logistics management method that supports instant delivery, such as Figure 1 As shown, the method includes: Step S100, identifying instant handover nodes according to short-distance logistics tasks, and generating a logistics instant handover chain.

[0021] Preferably, during the execution of short-distance logistics tasks, the handover nodes between different links of the goods are accurately determined according to the specific needs and actual conditions of the tasks. The instant handover nodes may be logistics centers, distribution sites, warehouses, transport vehicles, etc. Specifically, when identifying the instant handover nodes, multiple factors need to be considered, including but not limited to, goods characteristics (type, size, weight and other characteristics of the goods will affect the selection of handover nodes), transportation methods (different transportation methods, such as roads, railways, aviation, etc., may correspond to different handover nodes), time requirements (the time requirements of logistics tasks will affect the selection of handover nodes), cost considerations (the selection of handover nodes also needs to consider cost factors, including transportation costs). , storage costs, etc.), after identifying the instant handover nodes, a logistics instant handover chain is generated, that is, each instant handover node is connected according to the execution order of the logistics task to form a complete logistics chain, covering the entire process from the departure of the goods to the final delivery to the customer, including the handover and transportation of each link. Specifically, the generation of the logistics instant handover chain includes determining the sequence of each handover node according to the execution order of the logistics task; planning the optimal transportation route according to the geographical location and traffic conditions of the node; setting specific time requirements for each handover node to ensure that the logistics task can be completed on time; and reasonably allocating logistics resources such as transportation vehicles and personnel according to the needs of the node and the scale of the logistics task. By accurately identifying the handover nodes and generating the logistics instant handover chain, comprehensive monitoring and management of short-distance logistics tasks can be achieved, which helps to ensure that logistics tasks can be smoothly executed according to the predetermined schedule and route, and improve logistics efficiency and service quality.

[0022] Step S200, performing multi-node logistics resource joint scheduling for the short-distance logistics task according to the logistics instant handover chain, and establishing a first logistics resource scheduling space.

[0023] Preferably, multi-node logistics resources are jointly scheduled for short-distance logistics tasks based on the generated logistics instant handover chain, that is, the logistics resources required by each handover node are reasonably scheduled and allocated, wherein the logistics resources include but are not limited to transport vehicles, loading and unloading equipment, storage space, personnel, etc. Specifically, according to the needs and characteristics of each node in the logistics instant handover chain and the overall requirements of the logistics tasks, the logistics resources are uniformly managed and optimized. For example, each handover node has specific functions and requirements in the logistics instant handover chain, such as loading and unloading goods, temporary storage, cargo sorting, etc., and the corresponding logistics resources need to be scheduled according to the specific needs of the node; when scheduling logistics resources, the availability of resources also needs to be considered, such as the number, type, location, etc. of transport vehicles, as well as the availability of personnel. Skill level, work experience, etc.; logistics tasks have strict time requirements and need to be completed within the specified time. When scheduling logistics resources, time factors must also be considered to ensure that logistics activities between nodes can be closely connected to avoid delays; then, based on the results of multi-node logistics resource joint scheduling, the first logistics resource scheduling space is established to uniformly manage and monitor logistics resources. Specifically, the first logistics resource scheduling space displays currently available logistics resources, such as the location, status, type, etc. of transport vehicles, as well as the skill level and work arrangements of personnel, and allocates specific logistics tasks to corresponding resources according to the needs and resource availability of each node in the logistics instant handover chain, monitors the operating status and task execution of logistics resources in real time, and makes timely adjustments and optimizations as needed. By establishing the first logistics resource scheduling space, comprehensive management and optimization of logistics resources can be achieved, and logistics efficiency and service quality can be improved.

[0024] Furthermore, step S200 also includes step S210, collecting logistics resource information according to the logistics instant handover chain to obtain multiple node logistics resource data sets; step S220, organizing the multiple node logistics resource data sets to establish multiple node logistics resource spaces; step S230, scheduling logistics resources for the short-distance logistics tasks according to the multiple node logistics resource spaces to obtain multiple node logistics resource scheduling decision sets; step S240, combining multiple node logistics resource scheduling decisions according to the multiple node logistics resource scheduling decision sets to generate the first logistics resource scheduling space.

[0025] Preferably, a variety of logistics resource information is collected and acquired according to the logistics instant handover chain, which may include node information (such as the location, capacity, working hours, etc. of warehouses, loading and unloading points, transfer stations, etc.), transportation tool information (such as the type, number, load capacity, driving speed, available time, etc. of vehicles, ships, aircraft, etc.), and cargo information (such as the type, quantity, size, weight, destination, delivery time, etc. of cargo), to form multiple node logistics resource data sets; the multiple node logistics resource data sets are sorted and analyzed, including the logistics resource information of each node (such as warehouses, loading and unloading points, etc.), and then multiple node logistics resource spaces are established to represent the distribution and status of logistics resources at each node. By establishing these spaces, the distribution and utilization of logistics resources can be more intuitively understood; then, the established multiple nodes are used to Point logistics resource space, logistics resource scheduling for short-distance logistics tasks may involve multiple considerations, such as cost, time, efficiency, safety, etc., that is, through algorithm optimization and data analysis, appropriate logistics resources are allocated to each node to meet the needs of short-distance logistics tasks, and then multiple node logistics resource scheduling decision sets are output. Each decision set contains a resource scheduling plan for a specific node; finally, the multiple node logistics resource scheduling decision sets are combined and optimized to form an overall logistics resource scheduling plan, that is, the first logistics resource scheduling space, including multiple logistics resource scheduling plans, each logistics resource scheduling plan includes multiple node logistics resource scheduling decisions corresponding to multiple logistics instant handover nodes, so as to carry out logistics resource scheduling more scientifically and efficiently, and improve logistics efficiency and service quality.

[0026] Step S300, introducing a logistics scheduling evaluation and inspection channel to evaluate and inspect the first logistics resource scheduling space to find the best, and generate a second logistics resource scheduling space.

[0027] Preferably, the logistics scheduling evaluation and inspection channel is used to evaluate and inspect the first space of logistics resource scheduling to find the best solution, that is, a comprehensive evaluation is conducted on the initially formed logistics resource scheduling plan (that is, the first space of logistics resource scheduling) through multiple evaluation and inspection indicators, so as to obtain a more efficient and reasonable logistics resource scheduling plan (that is, the second space of logistics resource scheduling), wherein the logistics scheduling evaluation and inspection channel is used to conduct a comprehensive evaluation of resource allocation, task execution, time management, cost control and other aspects in the first space of logistics resource scheduling. Specifically, the logistics scheduling evaluation and inspection channel is used to evaluate and inspect the first space of logistics resource scheduling to find the problems and deficiencies in the first space of logistics resource scheduling, and propose improvement plans, so as to optimize the second space of logistics resource scheduling, that is, the new logistics resource scheduling plan. Compared with the first space of logistics resource scheduling, the second space has significant improvements in resource utilization efficiency, task execution efficiency, cost control and other aspects, which is helpful to achieve the optimal allocation and efficient utilization of logistics resources.

[0028] Further, step S300 also includes step S310, wherein the logistics scheduling evaluation and inspection channel includes a logistics scheduling evaluator and a logistics scheduling verifier; step S320, traversing the first logistics resource scheduling space to extract the first logistics resource scheduling plan; step S330, inputting the first logistics resource scheduling plan into the logistics scheduling evaluator to obtain a first logistics scheduling evaluation result, wherein the logistics scheduling evaluator includes a logistics scheduling timeliness evaluation model, a logistics resource utilization evaluation model and a logistics cargo loss evaluation model; step S340, inputting the first logistics scheduling evaluation result into the logistics scheduling verifier to obtain a first logistics scheduling inspection result; step S350, when the first logistics scheduling inspection result is unqualified, eliminating the first logistics resource scheduling plan; step S360, when the first logistics scheduling inspection result is qualified, adding the first logistics resource scheduling plan to the second logistics resource scheduling space.

[0029] Preferably, the logistics scheduling evaluation and inspection channel includes a logistics scheduling evaluator and a logistics scheduling verifier, wherein the logistics scheduling evaluator is used to conduct a comprehensive and objective evaluation of the logistics resource scheduling plan, and includes multiple evaluation models, such as a logistics scheduling timeliness evaluation model (evaluation of the time efficiency of the plan), a logistics resource utilization evaluation model (evaluation of the resource utilization efficiency of the plan) and a logistics cargo loss evaluation model (evaluation of the plan's ability to protect cargo during transportation), and the logistics scheduling verifier is used to further inspect the output results of the evaluator to determine whether the plan meets the established standards and requirements; traverse the first logistics resource scheduling space and randomly extract a logistics resource scheduling plan therefrom as the first logistics resource scheduling plan, and then input the extracted first logistics resource scheduling plan into the logistics scheduling evaluator, and use the various evaluation models in the logistics scheduling evaluator to comprehensively evaluate the plan to obtain the first logistics scheduling evaluation result, which includes the plan's timeliness, resource utilization, and other aspects. and cargo loss, etc.; then the first logistics scheduling evaluation result is input into the logistics scheduling verifier for further inspection to determine whether the plan meets the established standards and requirements, such as whether the predetermined time efficiency, resource utilization efficiency and cargo protection level are achieved, and then the first logistics scheduling inspection result is obtained; then it is judged whether the first logistics scheduling inspection result is qualified. If the first logistics scheduling inspection result is unqualified, that is, the plan fails to meet the established standards and requirements, the first logistics resource scheduling plan is eliminated, which means that the plan is not suitable as the final logistics resource scheduling plan; if the first logistics scheduling inspection result is qualified, that is, the plan meets the established standards and requirements, the first logistics resource scheduling plan is added to the second logistics resource scheduling space to store qualified logistics resource scheduling plans after evaluation and inspection, to ensure that the selected plan performs well in terms of timeliness, resource utilization and cargo loss, thereby improving logistics efficiency and service quality.

[0030] Preferably, the logistics scheduling timeliness evaluation model focuses on the time efficiency of the logistics scheduling plan. Specifically, the core indicators of timeliness evaluation are determined, including transportation time, distribution time, response time, etc. The time data of transportation, distribution, response, etc. are collected in real time through the logistics information system, and cleaned, sorted and analyzed to ensure the accuracy and reliability of the data. Based on the collected data, appropriate algorithms and models (such as time series analysis, regression analysis, etc.) are used to evaluate the timeliness, so that the model can comprehensively consider the impact of various factors on time efficiency, such as traffic conditions, weather conditions, human resources, etc.; the logistics resource utilization evaluation model focuses on the effective utilization of resources by the logistics scheduling plan. Specifically, the types of logistics resources are clarified, including transportation tools, storage facilities, human resources, etc., and then the evaluation indicators of resource utilization are determined, including vehicle load factor, warehouse space utilization, human resource utilization efficiency, etc., to reflect the utilization and efficiency of resources. Through the logistics information system Resource usage data is collected in real time, analyzed and processed to evaluate the actual situation of resource utilization. Appropriate algorithms and models (such as data envelopment analysis, fuzzy comprehensive evaluation, etc.) are used to evaluate resource utilization, so that the model can comprehensively consider the impact of various factors on resource utilization, such as the selection of transportation tools, the layout of storage facilities, etc.; the logistics cargo loss evaluation model mainly focuses on the ability of logistics scheduling plans to protect cargo during transportation. Specifically, it identifies cargo loss factors such as natural disasters, traffic accidents, improper packaging, etc., and then determines the evaluation indicators of cargo loss, including cargo loss rate, cargo integrity rate, etc. Cargo loss data is collected in real time through the logistics information system, and analyzed and processed to evaluate the actual situation of cargo loss. Then, appropriate algorithms and models (such as probability statistics, analogy evaluation, etc.) are used to evaluate cargo loss, so that the model can comprehensively consider the impact of various factors on cargo loss, such as the choice of transportation route, the selection of packaging materials, etc.

[0031] Further, step S300 also includes step S370, the logistics scheduling verifier includes a logistics scheduling verification operator, and the logistics scheduling verification operator includes: A: If the first logistics scheduling evaluation result satisfies the logistics scheduling evaluation constraints, the first logistics scheduling verification result is qualified, wherein the logistics scheduling evaluation constraints include logistics scheduling timeliness constraints, logistics resource utilization constraints and logistics cargo loss constraints; B: If the first logistics scheduling evaluation result does not meet the logistics scheduling evaluation constraints, the first logistics scheduling verification result is unqualified.

[0032] Preferably, based on the output result of the logistics scheduling evaluator (i.e., the first logistics scheduling evaluation result) and the preset logistics scheduling evaluation constraints, it is judged whether the first logistics resource scheduling plan is qualified. The logistics scheduling verifier uses the logistics scheduling verification operator to evaluate the first logistics scheduling evaluation result to determine whether the first logistics resource scheduling plan meets the established standards and requirements. The logistics scheduling verification operator includes two main parts. If the first logistics scheduling evaluation result meets the logistics scheduling evaluation constraints, the first logistics scheduling verification result is qualified. The logistics scheduling evaluation constraints are preset to measure whether the logistics resource scheduling plan meets the established standards, specifically including the logistics scheduling timeliness. Constraints (requiring logistics scheduling plans to be efficient in time, such as transportation time, delivery time, etc. should be within a reasonable range), logistics resource utilization constraints (requiring logistics scheduling plans to make full use of existing resources, such as vehicle load rate, warehouse space utilization rate, etc. to meet certain standards), and logistics cargo loss constraints (requiring logistics scheduling plans to protect cargo during transportation and reduce cargo losses, such as cargo loss rate should be controlled within a certain range); if the first logistics scheduling evaluation result does not meet any one or more of the logistics scheduling evaluation constraints, the first logistics scheduling inspection result is unqualified, ensuring that only plans that meet the established standards and requirements can be designated as alternative plans.

[0033] Step S400: mutate and expand the second space of logistics resource scheduling according to the variation constraint rule of logistics scheduling to obtain a third space of logistics resource scheduling.

[0034] Preferably, the second space of logistics resource scheduling is mutated and expanded according to the variation constraint rules of logistics scheduling, that is, by introducing variation operations and constraint rules, on the basis of the existing logistics resource scheduling scheme (i.e., the second space of logistics resource scheduling), the configuration and scheduling of logistics resources are explored and optimized, so as to form a more efficient and adaptive logistics resource scheduling scheme (i.e., the third space of logistics resource scheduling), wherein the variation constraint rules refer to the adjustment or change of logistics routes, resource allocation, time windows, etc. in logistics scheduling to cope with uncertainty or optimize existing schemes, and the constraint rules ensure that the variation operations are carried out within a reasonable range to avoid infeasible or inefficient situations. scheduling schemes, such as resource availability, time constraints, customer needs, etc. Specifically, according to the variation constraint rules, mutation operations are introduced, including re-planning of logistics routes, adjustment of resource allocation, change of time windows, etc., to explore potential optimization space, and then the mutated logistics resource scheduling schemes are evaluated to check whether they meet the constraint rules, and compare their efficiency, cost and other aspects. If the mutated scheme has improved performance and meets all constraints, it will be regarded as a feasible candidate scheme. After multiple variations and evaluations, the third space of logistics resource scheduling is generated, thereby further improving the efficiency and adaptability of logistics scheduling.

[0035] Furthermore, step S400 also includes step S410, calculating the variation characteristic parameters of the second space of logistics resource scheduling according to the logistics scheduling variation constraint rules to obtain the logistics scheduling variation characteristic distribution; step S420, mutating the second space of logistics resource scheduling according to the logistics scheduling variation characteristic distribution to obtain the logistics resource scheduling variation space; step S430, evaluating and testing the logistics resource scheduling variation space according to the logistics scheduling evaluation and testing channel to generate the logistics resource scheduling variation optimization space; step S440, expanding the second space of logistics resource scheduling according to the logistics resource scheduling variation optimization space to obtain the third space of logistics resource scheduling.

[0036] Preferably, the variation characteristic parameters of the second space of logistics resource scheduling are calculated according to the variation constraint rules of logistics scheduling (such as the adjustment range of the transportation path, the variation range of resource allocation, etc.), wherein the variation parameters describe the specific changes that may occur in the scheme during the variation process, for example, for the adjustment of the transportation path, the change in the path length, the increase or decrease of nodes on the path, etc. are calculated; for the change in resource allocation, the increase or decrease ratio of resources, the change in resource utilization efficiency, etc. are calculated, and then the logistics scheduling variation characteristic distribution is obtained; then based on the logistics scheduling variation characteristic distribution, the second space of logistics resource scheduling is mutated, that is, if the variation characteristic parameter represents the adjustment of the transportation path, the path is adjusted according to the value of the parameter, such as increasing or decreasing the nodes on the path, changing the order of the nodes, etc.; if the variation characteristic parameter represents the change of resource allocation, the resources are reallocated according to the value of the parameter, such as increasing or decreasing the quantity of a certain resource, adjusting the resource allocation ratio, etc.; the mutated scheme set constitutes the logistics resource scheduling variation space.

[0037] Preferably, each plan in the logistics resource scheduling variation space is input into the logistics scheduling evaluation and inspection channel for evaluation and inspection. The logistics scheduling evaluator will evaluate each plan in terms of timeliness, resource utilization and cargo loss, and generate corresponding evaluation results. The logistics scheduling verifier will further inspect the evaluation results to determine whether the plan meets the established standards and requirements. If the plan meets all standards and requirements, it is considered qualified; if the plan does not meet any one or more standards and requirements, it is considered unqualified, and then the plans with excellent performance are screened out to form a logistics resource scheduling variation optimization space with high feasibility and practicality; finally, the plans in the logistics resource scheduling variation optimization space are added to the logistics resource scheduling second space, thereby expanding the original plan set, that is, obtaining the logistics resource scheduling third space, which includes more logistics resource scheduling plans that have performed well after evaluation and inspection, which not only have higher feasibility and practicality, but also perform well in all aspects, thereby optimizing the logistics resource scheduling plan and improving logistics efficiency and service quality.

[0038] Furthermore, step S410 also includes step S411, wherein the logistics scheduling variation constraint rule includes a basic quantity of logistics scheduling variation; step S412, extracting the nth logistics resource scheduling scheme within the second space of the logistics resource scheduling, wherein n is a positive integer; step S413, loading the nth logistics scheduling evaluation result corresponding to the nth logistics resource scheduling scheme according to the logistics scheduling evaluation inspection channel; step S414, performing variation value evaluation on the nth logistics resource scheduling scheme according to the nth logistics scheduling evaluation result to obtain a variation value coefficient of the nth scheme; step S415, performing incentive adjustment on the basic quantity of logistics scheduling variation according to the variation value coefficient of the nth scheme to generate an nth variation feature quantity, and adding the nth variation feature quantity to the logistics scheduling variation feature distribution.

[0039] Preferably, based on historical data or business needs, etc., the basic number of logistics scheduling variations of the logistics scheduling variation constraint rules is defined to ensure that the mutated plan has a certain degree of innovation and does not deviate too much from reality. The nth specific logistics resource scheduling plan is extracted from the second space of logistics resource scheduling, where n is a positive integer, indicating that the nth plan in the second space of logistics resource scheduling is less than or equal to the total number of logistics resource scheduling plans in the second space of logistics resource scheduling. The logistics scheduling evaluation inspection channel is used to load and obtain the logistics scheduling evaluation result corresponding to the nth logistics resource scheduling plan, which may include indicators in multiple aspects such as timeliness, resource utilization, and cargo loss, which are used to comprehensively reflect the performance of the plan; then based on The nth logistics scheduling evaluation result conducts a variation value evaluation on the nth logistics resource scheduling plan, that is, a comprehensive analysis and comparison of multiple indicators of the evaluation results is conducted to determine the potential value of the plan in terms of variation, and then the variation value coefficient of the nth plan is obtained, which is used to quantify the value of the plan in the variation process; finally, the variation value coefficient of the nth plan is used to incentivize and adjust the basic quantity of logistics scheduling variation, including increasing or decreasing the basic quantity to reflect the potential value and importance of the plan in terms of variation, thereby generating the nth variation feature quantity and adding it to the logistics scheduling variation feature distribution, wherein the variation feature quantity helps to improve the flexibility and innovation of the logistics resource scheduling plan, thereby improving logistics efficiency and service quality.

[0040] Step S500, performing logistics scheduling optimality maximization optimization on the third space of logistics resource scheduling according to the logistics scheduling optimality analyzer, and generating a logistics resource scheduling optimality strategy.

[0041] Preferably, the logistics scheduling optimality refers to the comprehensive performance of the logistics resource scheduling plan in terms of meeting customer needs, reducing costs, and improving efficiency. The higher the optimality, the better the scheduling plan. Specifically, the third space of the logistics resource scheduling after mutation and expansion is used as input and input into the logistics scheduling optimality parser to maximize the logistics scheduling optimality. The logistics scheduling optimality parser is used to conduct a comprehensive evaluation of the input scheduling plan, including evaluation of transportation cost, transportation time, customer satisfaction, resource utilization, etc. The logistics scheduling optimality parsing function is used to perform multiple iterations and optimizations on the scheduling plan until the optimal solution is found, and then obtain the scheduling plan that can maximize the logistics scheduling optimality. As the final logistics resource scheduling optimization strategy, it contains the optimal scheduling plan, resource allocation, transportation route and other information, so as to achieve the optimization and efficiency of logistics scheduling, improve logistics efficiency, service quality and resource utilization.

[0042] Furthermore, step S500 further includes that the logistics scheduling optimality parser includes a logistics scheduling optimality parsing function, and the logistics scheduling optimality parsing function is: ; Among them, OLS represents the optimality of logistics scheduling, OLK represents the analytic factor of logistics scheduling optimality, OLK>1, G(TES) represents the normalized timeliness of logistics scheduling, TESW represents the timeliness-weight of logistics scheduling, G(LRX) represents the normalized logistics resource utilization, LRXW represents the logistics resource utilization-weight, G(LCX) represents the normalized logistics cargo loss coefficient, and LCXW represents the logistics cargo loss weight.

[0043] Step S600, executing the short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimization strategy.

[0044] Preferably, executing short-distance logistics tasks according to the logistics instant handover chain and logistics resource scheduling optimization strategy means combining efficient instant handover process and optimized resource scheduling plan for short-distance transportation, and ensuring the smooth and efficient completion of logistics tasks. Specifically, the logistics instant handover chain and logistics resource scheduling optimization strategy are combined to more effectively execute short-distance logistics tasks, including formulating detailed logistics plans according to the logistics instant handover chain and resource scheduling optimization strategy, such as determining transportation routes, resource allocation, handover processes, etc., and then monitoring the status and location information of the goods in real time through advanced logistics information systems. According to actual conditions and changes in demand, the logistics plan is dynamically adjusted to ensure the smooth progress of the task, strengthen communication and collaboration between various links, ensure accurate transmission of information and smooth handover, promptly handle possible problems and abnormal situations, ensure efficient completion of logistics tasks, thereby improving logistics efficiency and service quality, meeting customer needs and reducing operating costs.

[0045] In the above, refer to Figure 1 A short-distance logistics management method supporting instant delivery according to an embodiment of the present invention is described in detail. Figure 2 A short-distance logistics management system supporting instant delivery according to an embodiment of the present invention is described.

[0046] According to an embodiment of the present invention, a short-distance logistics management system supporting instant handover is used to solve the technical problems of low efficiency in short-distance logistics task scheduling, unreasonable resource allocation, and delayed handover node management in the prior art, achieving the technical effect of improving task execution efficiency, enhancing management flexibility and intelligence level. Figure 2 As shown, a short-distance logistics management system supporting instant handover includes: an instant handover node identification module 10, a logistics resource joint scheduling module 20, an evaluation and inspection optimization module 30, a variation and expansion module 40, a scheduling optimization strategy generation module 50, and a short-distance logistics task execution module 60.

[0047] An instant handover node identification module 10 is used to identify instant handover nodes according to short-distance logistics tasks and generate a logistics instant handover chain; a logistics resource joint scheduling module 20 is used to perform multi-node logistics resource joint scheduling for the short-distance logistics tasks according to the logistics instant handover chain, and establish a first logistics resource scheduling space; an evaluation, inspection and optimization module 30 is used to introduce a logistics scheduling evaluation and inspection channel to evaluate, inspect and optimize the first logistics resource scheduling space, and generate a second logistics resource scheduling space; a variation and expansion module 40 is used to perform variation and expansion on the second logistics resource scheduling space according to the logistics scheduling variation constraint rules to obtain a third logistics resource scheduling space; a scheduling optimization strategy generation module 50 is used to perform logistics scheduling optimal maximization optimization on the third logistics resource scheduling space according to a logistics scheduling optimality parser, and generate a logistics resource scheduling optimality strategy; a short-distance logistics task execution module 60 is used to execute the short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimality strategy.

[0048] The specific configuration of the logistics resource joint scheduling module 20 will be described in detail below. The logistics resource joint scheduling module 20 further includes: collecting logistics resource information according to the logistics instant handover chain to obtain multiple node logistics resource data sets; sorting the multiple node logistics resource data sets to establish multiple node logistics resource spaces; performing logistics resource scheduling for the short-distance logistics tasks according to the multiple node logistics resource spaces to obtain multiple node logistics resource scheduling decision sets; performing multi-node logistics resource scheduling decision combinations according to the multiple node logistics resource scheduling decision sets to generate the logistics resource scheduling first space.

[0049] The specific configuration of the evaluation, inspection and optimization module 30 will be described in detail below. The evaluation, inspection and optimization module 30 further includes: the logistics scheduling evaluation and inspection channel includes a logistics scheduling evaluator and a logistics scheduling verifier; traverse the first logistics resource scheduling space to extract the first logistics resource scheduling plan; input the first logistics resource scheduling plan into the logistics scheduling evaluator to obtain the first logistics scheduling evaluation result, wherein the logistics scheduling evaluator includes a logistics scheduling timeliness evaluation model, a logistics resource utilization evaluation model and a logistics cargo loss evaluation model; input the first logistics scheduling evaluation result into the logistics scheduling verifier to obtain the first logistics scheduling inspection result; when the first logistics scheduling inspection result is unqualified, eliminate the first logistics resource scheduling plan; when the first logistics scheduling inspection result is qualified, add the first logistics resource scheduling plan to the second logistics resource scheduling space.

[0050] The specific configuration of the evaluation, inspection and optimization module 30 will be described in detail below. The evaluation, inspection and optimization module 30 further includes: the logistics scheduling verifier includes a logistics scheduling verification operator, and the logistics scheduling verification operator includes: if the first logistics scheduling evaluation result meets the logistics scheduling evaluation constraint, the first logistics scheduling verification result is qualified, wherein the logistics scheduling evaluation constraint includes the logistics scheduling timeliness constraint, the logistics resource utilization constraint and the logistics cargo loss constraint; if the first logistics scheduling evaluation result does not meet the logistics scheduling evaluation constraint, the first logistics scheduling verification result is unqualified.

[0051] The specific configuration of the variation expansion module 40 will be described in detail below. The variation expansion module 40 further includes: calculating variation characteristic parameters of the second space of logistics resource scheduling according to the variation constraint rule of logistics scheduling to obtain the variation characteristic distribution of logistics scheduling; mutating the second space of logistics resource scheduling according to the variation characteristic distribution of logistics scheduling to obtain the variation space of logistics resource scheduling; evaluating and testing the variation space of logistics resource scheduling according to the evaluation and testing channel of logistics scheduling to generate the variation optimization space of logistics resource scheduling; expanding the second space of logistics resource scheduling according to the variation optimization space of logistics resource scheduling to obtain the third space of logistics resource scheduling.

[0052] The specific configuration of the variation expansion module 40 will be described in detail below. The variation expansion module 40 further includes: the logistics scheduling variation constraint rule includes the logistics scheduling variation base quantity; extracting the nth logistics resource scheduling scheme in the second space of the logistics resource scheduling, where n is a positive integer; according to the logistics scheduling evaluation inspection channel, loading the nth logistics scheduling evaluation result corresponding to the nth logistics resource scheduling scheme; performing variation value evaluation on the nth logistics resource scheduling scheme according to the nth logistics scheduling evaluation result to obtain the variation value coefficient of the nth scheme; performing incentive adjustment on the logistics scheduling variation base quantity according to the nth scheme variation value coefficient to generate the nth variation feature quantity, and adding the nth variation feature quantity to the logistics scheduling variation feature distribution.

[0053] The specific configuration of the scheduling optimization strategy generation module 50 will be described in detail below. The scheduling optimization strategy generation module 50 further includes: the logistics scheduling optimality parser includes a logistics scheduling optimality parsing function, and the logistics scheduling optimality parsing function is: ; Among them, OLS represents the optimality of logistics scheduling, OLK represents the analytic factor of logistics scheduling optimality, OLK>1, G(TES) represents the normalized timeliness of logistics scheduling, TESW represents the timeliness-weight of logistics scheduling, G(LRX) represents the normalized logistics resource utilization, LRXW represents the logistics resource utilization-weight, G(LCX) represents the normalized logistics cargo loss coefficient, and LCXW represents the logistics cargo loss weight.

[0054] A short-distance logistics management system supporting instant handover provided by an embodiment of the present invention can execute a short-distance logistics management method supporting instant handover provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0055] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0056] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A short-distance logistics management method supporting instant handover, characterized in that: The method comprises: Identify instant handover nodes based on short-distance logistics tasks and generate an instant logistics handover chain; Perform multi-node logistics resource joint scheduling for the short-distance logistics task according to the logistics instant handover chain, and establish a first logistics resource scheduling space; Introducing a logistics scheduling evaluation and inspection channel to evaluate and inspect the first logistics resource scheduling space to find the best, and generate a second logistics resource scheduling space; According to the variation constraint rule of logistics scheduling, the second space of logistics resource scheduling is mutated and expanded to obtain the third space of logistics resource scheduling; According to the logistics scheduling optimality analyzer, the logistics scheduling optimality is maximized in the third space of the logistics resource scheduling, and a logistics resource scheduling optimality strategy is generated; The short-distance logistics task is executed according to the logistics instant handover chain and the logistics resource scheduling optimization strategy.

2. A short-distance logistics management method supporting instant handover as claimed in claim 1, characterized in that: The short-distance logistics task is jointly dispatched with multi-node logistics resources according to the logistics instant handover chain, and a first logistics resource dispatching space is established, including: Collect logistics resource information according to the logistics instant handover chain to obtain multiple node logistics resource data sets; Arranging the plurality of node logistics resource data sets to establish a plurality of node logistics resource spaces; Performing logistics resource scheduling for the short-distance logistics task according to the multiple node logistics resource spaces to obtain multiple node logistics resource scheduling decision sets; A multi-node logistics resource scheduling decision combination is performed according to the multiple node logistics resource scheduling decision sets to generate the first logistics resource scheduling space.

3. A short-distance logistics management method supporting instant handover as claimed in claim 1, characterized in that: Introducing a logistics scheduling evaluation and inspection channel to evaluate and inspect the first logistics resource scheduling space to find the best, and generating a second logistics resource scheduling space, including: The logistics scheduling evaluation and inspection channel includes a logistics scheduling evaluator and a logistics scheduling inspector; Traversing the first logistics resource scheduling space, extracting the first logistics resource scheduling plan; Inputting the first logistics resource scheduling plan into the logistics scheduling evaluator to obtain a first logistics scheduling evaluation result, wherein the logistics scheduling evaluator includes a logistics scheduling timeliness evaluation model, a logistics resource utilization evaluation model and a logistics cargo loss evaluation model; Inputting the first logistics scheduling evaluation result into the logistics scheduling verifier to obtain a first logistics scheduling verification result; When the first logistics scheduling inspection result is unqualified, the first logistics resource scheduling plan is eliminated; When the first logistics scheduling inspection result is qualified, the first logistics resource scheduling plan is added to the second logistics resource scheduling space.

4. A short-distance logistics management method supporting instant handover as claimed in claim 3, characterized in that: The logistics scheduling checker includes a logistics scheduling check operator, and the logistics scheduling check operator includes: If the first logistics scheduling evaluation result satisfies the logistics scheduling evaluation constraints, the first logistics scheduling inspection result is qualified, wherein the logistics scheduling evaluation constraints include logistics scheduling timeliness constraints, logistics resource utilization constraints, and logistics cargo loss constraints; If the first logistics scheduling evaluation result does not meet the logistics scheduling evaluation constraint, the first logistics scheduling inspection result is unqualified.

5. A short-distance logistics management method supporting instant handover as claimed in claim 1, characterized in that: The second space of logistics resource scheduling is mutated and expanded according to the variation constraint rule of logistics scheduling to obtain the third space of logistics resource scheduling, including: Calculate the variation characteristic parameters of the second space of logistics resource scheduling according to the variation constraint rule of logistics scheduling to obtain the variation characteristic distribution of logistics scheduling; According to the distribution of the variation characteristics of the logistics scheduling, the second space of the logistics resource scheduling is mutated to obtain the variation space of the logistics resource scheduling; According to the logistics scheduling evaluation and inspection channel, the logistics resource scheduling variation space is evaluated and inspected for optimization, and a logistics resource scheduling variation optimization space is generated; The second logistics resource scheduling space is expanded according to the logistics resource scheduling variation optimization space to obtain the third logistics resource scheduling space.

6. A short-distance logistics management method supporting instant handover as claimed in claim 5, characterized in that: Calculating variation characteristic parameters of the second space of logistics resource scheduling according to the variation constraint rule of logistics scheduling to obtain the variation characteristic distribution of logistics scheduling includes: The logistics scheduling variation constraint rules include the logistics scheduling variation base quantity; Extracting the nth logistics resource scheduling plan in the second logistics resource scheduling space, where n is a positive integer; According to the logistics scheduling evaluation inspection channel, loading the nth logistics scheduling evaluation result corresponding to the nth logistics resource scheduling plan; Performing a variation value evaluation on the nth logistics resource scheduling plan according to the nth logistics scheduling evaluation result to obtain a variation value coefficient of the nth plan; The logistics scheduling variation base quantity is incentivized and adjusted according to the nth scheme variation value coefficient to generate the nth variation feature quantity, and the nth variation feature quantity is added to the logistics scheduling variation feature distribution.

7. A short-distance logistics management method supporting instant delivery as claimed in claim 1, characterized in that: The logistics scheduling optimality parser includes a logistics scheduling optimality parsing function, and the logistics scheduling optimality parsing function is: ； Among them, OLS represents the optimality of logistics scheduling, OLK represents the analytic factor of logistics scheduling optimality, OLK>1, G(TES) represents the normalized timeliness of logistics scheduling, TESW represents the timeliness-weight of logistics scheduling, G(LRX) represents the normalized logistics resource utilization, LRXW represents the logistics resource utilization-weight, G(LCX) represents the normalized logistics cargo loss coefficient, and LCXW represents the logistics cargo loss weight.

8. A short-distance logistics management system supporting instant delivery, characterized in that: The system is used to implement a short-distance logistics management method supporting instant delivery as described in any one of claims 1 to 7, and the system includes: The instant handover node identification module is used to identify the instant handover nodes according to the short-distance logistics tasks and generate the logistics instant handover chain; A logistics resource joint scheduling module is used to perform multi-node logistics resource joint scheduling for the short-distance logistics task according to the logistics instant handover chain, and establish a first logistics resource scheduling space; An evaluation, inspection and optimization module is used to introduce a logistics scheduling evaluation and inspection channel to evaluate, inspect and optimize the first logistics resource scheduling space to generate a second logistics resource scheduling space; A variation expansion module, used for performing variation expansion on the second logistics resource scheduling space according to the variation constraint rule of logistics scheduling to obtain a third logistics resource scheduling space; A scheduling optimization strategy generation module is used to maximize the optimization of the logistics scheduling optimality of the logistics resource scheduling third space according to the logistics scheduling optimality analyzer, and generate a logistics resource scheduling optimality strategy; The short-distance logistics task execution module is used to execute the short-distance logistics task according to the logistics instant handover chain and the logistics resource scheduling optimization strategy.

Images