A method and system for intelligent allocation and efficient execution of regional transportation tasks

Abstract

The present invention relates to the field of data processing technology, and discloses a method and system for intelligent allocation and high-efficiency execution of regional transportation tasks. By acquiring a regional transportation task set for a target industrial supply area, a regional transportation control reference information set for each supply chain node in a task execution control period is constructed. By acquiring supply chain production and transportation resources, the regional transportation strategy is optimized and solved according to the storage capacity information of each supply chain node, the constraints constructed by the supply chain transportation resources, and the optimization target determined by the regional transportation intensity of the supply chain. In this way, transportation resource allocation and transportation action execution for each industrial supply chain transportation task for each supply chain node transportation task within the task execution control period are achieved, thereby improving supply chain transportation reliability and the rationality and intelligence of the allocation of industrial supply chain transportation tasks within the regional scope, while improving transportation resource utilization and transportation execution efficiency, and reducing the transportation cost of the entire industrial supply chain.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method and system for intelligently allocating and efficiently executing regional transportation tasks. Background Art

[0002] The industrial supply chain refers to the entire process of industrial enterprises, from raw material procurement through production, processing, assembly, packaging, and ultimately, the sale of finished products to customers. This process involves multiple stakeholders, including suppliers, manufacturers, distributors, retailers, and logistics service providers, forming an organic whole through the interplay of information, material, and capital flows. Regional industrial supply chain transportation refers to the transportation and distribution of various materials required for industrial production, including raw materials, parts, semi-finished products, and finished products, within a specific geographic area. This facilitates the flow of materials and product delivery between nodes within the regional industrial supply chain. This is typically applied to industrial parks, industrial city clusters, and similar areas that provide a platform for the operation of entire or partial industrial supply chains. Regional industrial supply chain transportation management can ensure the stable operation of regional industrial production, promote the coordinated development of regional industries, optimize regional resource allocation, reduce regional logistics costs, and drive regional economic growth.

[0003] In existing technologies, regional industrial supply chain transportation primarily relies on supply chain nodes contacting individual supply chain transport companies to complete their transportation tasks. However, in scenarios where the entire industrial supply chain operates continuously, there are issues with varying transport reliability among supply chain transport companies corresponding to different supply chain nodes. Delays in the transport of output products from any supply chain node can impact the production and operation of the entire industrial supply chain. Furthermore, transportation management information and production information are often isolated between supply chain transport companies, as well as between supply chain transport companies and production companies. This prevents each supply chain transport company from intelligently and efficiently allocating supply chain transportation tasks based on actual production and transportation conditions. Furthermore, in actual operation, because the transportation execution of each supply chain node in a supply chain scenario depends not only on that node but also on the supply chain nodes before and after it, and because the transportation intervals between each supply chain node and the next vary (depending on each supply chain node's raw material storage capacity, raw material consumption capacity, product storage capacity, and product production capacity), the allocation of regional industrial supply chain transportation tasks within transportation resources can lead to issues such as insufficient transportation resource utilization, irrational allocation of supply chain transportation tasks, low transportation execution efficiency, and high transportation costs.

[0004] Therefore, how to improve the rationality and intelligence of the allocation of industrial supply chain transportation tasks within the region, while improving the utilization rate of transportation resources and transportation execution efficiency, and reducing the transportation cost of the entire industrial supply chain, is a technical problem that needs to be solved urgently. Summary of the Invention

[0005] The present invention provides a method and system for intelligent allocation and efficient execution of regional transportation tasks, aiming to solve at least one of the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides a method for intelligently allocating and efficiently executing regional transportation tasks, comprising the following steps:

[0007] Acquire a regional transportation task set for a target industrial supply area; wherein the regional transportation task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transportation tasks;

[0008] According to the supply chain identifier, query the supply chain production planning text of each industrial supply chain transportation task, and extract node attributes and node production planning lists of several supply chain nodes;

[0009] Mapping a plurality of production planning tasks in the node production planning list to the task execution control period, and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage;

[0010] Accessing supply chain production and transportation resources, and extracting status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources;

[0011] Based on the status information of supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the regional transportation strategy is optimized and solved by considering the storage capacity information of each supply chain node, the constraints of supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain;

[0012] The planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy are extracted, and regional transportation actions during the task execution control period are executed.

[0013] Optionally, the step of obtaining a regional transportation task set for the target industrial supply area includes:

[0014] Acquire a plurality of regional industrial supply chains belonging to the target industrial supply area and in which each production entity serving as a supply chain node in the target industrial supply area participates; wherein each supply chain node in the regional industrial supply chain is located in the target industrial supply area;

[0015] Each extracted regional industrial supply chain is converted into a corresponding industrial supply chain transportation task, and the supply chain identification of each industrial supply chain transportation task and the preset task execution control period are constructed into a regional transportation task set for the target industrial supply area.

[0016] Optionally, according to the supply chain identifier, querying the supply chain production planning text of each industrial supply chain transportation task, and extracting node attributes and node production planning lists of several supply chain nodes, specifically includes:

[0017] Based on the supply chain identifier, querying the industrial supply chain data management system for a supply chain production planning text for each industrial supply chain transportation task; wherein the supply chain production planning text includes a plurality of information paragraphs describing different planning information categories during the supply chain operation process;

[0018] The large language model trained with domain knowledge is used to extract the information summary of each information paragraph. Based on several keywords recorded in the information summary, the node attributes and node production planning lists of several supply chain nodes are analyzed and generated.

[0019] Optionally, the steps of analyzing and generating node attributes and node production planning lists of several supply chain nodes based on several keywords recorded in the information summary specifically include:

[0020] Use natural language processing tools to perform word segmentation, part-of-speech analysis, and keyword extraction on each information summary to obtain several keywords recorded in the information summary;

[0021] Based on the part of speech of each keyword and its cosine similarity with each preset word in the preset word set, several attribute information and production planning information of each supply chain node are analyzed and generated; wherein the attribute information includes storage capacity information, location information, and identifiers of the upstream and downstream supply chain nodes; the production planning information includes several production output time periods of each supply chain node and the production output output and raw material demand of each production output time period;

[0022] According to a plurality of attribute information, node attributes of a plurality of supply chain nodes are constructed; according to a plurality of production planning information, a node production planning list of a plurality of supply chain nodes is constructed.

[0023] Optionally, the steps of mapping a plurality of production planning tasks in the node production planning list to the task execution control period, and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes, specifically include:

[0024] Converting the production planning tasks for different periods in the node production planning list into production output and raw material demand for each transportation cycle, and mapping the production output and raw material demand for each transportation cycle to the task execution control period to obtain the production output and raw material demand for different transportation cycles in the task execution control period;

[0025] Based on the production output and raw material demand of each supply chain node in different transportation cycles and the storage capacity information and location information in the node attributes of the supply chain node, a regional transportation control reference information set is generated for each supply chain node in the task execution control period.

[0026] Optionally, the step of accessing supply chain production and transportation resources and extracting status information of supply chain production and transportation equipment in different transportation cycles within the task execution control period in the supply chain production and transportation resources specifically includes:

[0027] Accessing supply chain production and transportation resources, extracting idle time periods of several supply chain production and transportation equipment in the supply chain production and transportation resources and maximum transportation volumes for products at different supply chain nodes;

[0028] Based on the idle period of each supply chain production and transportation equipment and the task execution control period, extracting the status information of different transportation cycles in the task execution control period in the supply chain production and transportation resources;

[0029] The status information includes the transportation status of each supply chain production and transportation equipment and the maximum transportation volume for products at different supply chain nodes.

[0030] Optionally, based on the status information of the supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the steps of optimizing and solving the regional transportation strategy are considered, taking into account the storage capacity information of each supply chain node, the constraints of the supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain. Specifically, the steps include:

[0031] Based on the transportation status of supply chain production and transportation equipment and the single transportation volume of products at different supply chain nodes, as well as several attribute information and several production planning information of each supply chain node;

[0032] Allocate each transport cycle of each supply chain production transport equipment in the task execution control period to the corresponding transport task period from the corresponding supply chain node to the next supply chain node or the transport equipment scheduling period between two adjacent transport task periods;

[0033] According to the first constraint condition constructed by the first warehousing capacity quantification value and the second warehousing capacity quantification value, the second constraint condition constructed by the transportation distance of the supply chain production and transportation equipment, the third constraint condition constructed by the transportation volume of the supply chain production and transportation equipment, and the optimization target constructed by the driving distance of the supply chain production and transportation equipment, an optimization algorithm is used to optimize and solve the regional transportation strategy.

[0034] Optionally, a first constraint condition is constructed using the first quantified value of the warehousing capacity and the second quantified value of the warehousing capacity, a second constraint condition is constructed using the transportation distance of the supply chain production and transportation equipment, a third constraint condition is constructed using the transportation volume of the supply chain production and transportation equipment, and the optimization goal is to minimize the travel distance of the supply chain production and transportation equipment. An optimization algorithm is used to optimize and solve the regional transportation strategy steps, specifically including:

[0035] The first constraint condition is that the product storage capacity of each supply chain node in each transportation cycle, which is determined based on the sum of the production output of each supply chain node in each transportation cycle and the single transportation capacity of several supply chain production and transportation equipment allocated to each supply chain node in each transportation task period, is less than the second warehousing capacity quantified value of the supply chain node, and the raw material storage capacity of each supply chain node in each transportation cycle, which is determined based on the sum of the raw material demand of each supply chain node in each transportation cycle and the single transportation capacity of several supply chain production and transportation equipment allocated to the previous supply chain node in each transportation task period, is less than the first warehousing capacity quantified value of the supply chain node;

[0036] The second constraint condition is that the path distance between the position information of the supply chain node where each supply chain production and transportation equipment is located at the end of the previous transportation task period and the position information of the supply chain node where it is located at the beginning of the next transportation task period is less than the product of the duration of the transportation equipment scheduling period between the two transportation task periods and the standard transportation speed of the supply chain production and transportation equipment, and the path distance between the position information of the supply chain node of each supply chain production and transportation equipment in each transportation task period and the position information of the next supply chain node is less than the product of the duration of the transportation task period and the standard transportation speed of the supply chain production and transportation equipment;

[0037] The third constraint condition is that the single transport volume of several supply chain production and transportation equipment assigned to each transport task period is less than the maximum transport volume of each supply chain production and transportation equipment for the corresponding supply chain node product; the optimization goal is to minimize the cumulative sum of the sum of the transport distances of several supply chain production and transportation equipment in each transport task period within the task execution control period and the sum of the scheduling distances of each transportation equipment scheduling period;

[0038] An optimization algorithm is used to optimize the regional transportation strategy that allocates each transportation cycle of each supply chain production transportation equipment in the task execution control period to the corresponding transportation task period from the corresponding supply chain node to the next supply chain node or the transportation equipment scheduling period between two adjacent transportation task periods.

[0039] Optionally, extracting the planned transportation route of each supply chain production and transportation equipment in the regional transportation strategy and executing regional transportation action steps during the task execution control period specifically includes:

[0040] Extracting the multiple transport cycles allocated from the corresponding supply chain node to the next supply chain node during each transport task period executed by each supply chain production and transportation equipment in the regional transport strategy and the location information of both supply chain nodes, and generating a planned transport route for each supply chain production and transportation equipment;

[0041] Generate transportation guidance information for each supply chain production and transportation equipment during the task execution control period based on the transportation path determined by the transportation cycles and location information of the supply chain nodes during each transportation task period recorded in the planned transportation route;

[0042] The transportation guidance information is sent to each supply chain production transportation equipment to perform regional transportation actions during the task execution control period.

[0043] In addition, to achieve the above objectives, the present invention also provides a system for intelligent allocation and efficient execution of regional transportation tasks, comprising:

[0044] An acquisition module is used to acquire a regional transportation task set of a target industrial supply area; wherein the regional transportation task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transportation tasks;

[0045] An extraction module is used to query the supply chain production planning text of each industrial supply chain transportation task according to the supply chain identifier, and extract node attributes and node production planning lists of several supply chain nodes;

[0046] A mapping module is configured to map a plurality of production planning tasks in the node production planning list to the task execution control period, and generate a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping results of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage;

[0047] An access module is used to access supply chain production and transportation resources and extract status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources;

[0048] The solution module is used to optimize and solve the regional transportation strategy based on the status information of the supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, taking into account the storage capacity information of each supply chain node, the constraints of the supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain;

[0049] The execution module is used to extract the planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy and execute the regional transportation actions during the task execution control period.

[0050] The beneficial effects of the present invention are: a method and system for intelligent allocation and high-efficiency execution of regional transportation tasks are proposed, by obtaining the regional transportation task set of the target industrial supply area, constructing the regional transportation control reference information set of each supply chain node in the task execution control period, and by obtaining the supply chain production and transportation resources, according to the warehousing capacity information of each supply chain node and the constraints constructed by the supply chain transportation resources and the optimization target determined by the regional transportation intensity of the supply chain, the regional transportation strategy is optimized and solved, so as to realize the transportation resource allocation and transportation action execution for each supply chain node transportation task under each industrial supply chain transportation task within the task execution control period, improve the supply chain transportation reliability and the rationality and intelligence of the allocation of industrial supply chain transportation tasks within the regional scope, while improving the utilization rate of transportation resources and the efficiency of transportation execution, reducing the transportation cost of the entire industrial supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Schematic diagram of the flow of the method for intelligent allocation and efficient execution of regional transportation tasks of the present invention;

[0052] Figure 2 This is a structural block diagram of the intelligent allocation and efficient execution system of regional transportation tasks of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] The embodiment of the present invention provides a method for intelligent allocation and efficient execution of regional transportation tasks, referring to Figure 1 , Figure 1 Schematic diagram of a flow chart of an embodiment of the method for intelligent allocation and efficient execution of regional transportation tasks of the present invention.

[0055] In this embodiment, a method for intelligently allocating and efficiently executing regional transportation tasks includes the following steps:

[0056] S100: Acquire a regional transport task set of a target industrial supply area; wherein the regional transport task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transport tasks;

[0057] S200: querying the supply chain production planning text of each industrial supply chain transportation task according to the supply chain identifier, and extracting node attributes and node production planning lists of several supply chain nodes;

[0058] S300: Mapping a plurality of production planning tasks in the node production planning list to the task execution control period, and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage;

[0059] S400: Accessing supply chain production and transportation resources, and extracting status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources;

[0060] S500: Based on the status information of the supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the regional transportation strategy is optimized and solved by considering the storage capacity information of each supply chain node, the constraints of the supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain;

[0061] S600: extracting the planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy, and executing regional transportation actions during the task execution control period.

[0062] It should be noted that in the prior art, for regional industrial supply chain transportation, supply chain nodes primarily contact individual supply chain transportation companies to complete their transportation tasks. In scenarios where the entire industrial supply chain operates continuously, there are issues with varying transportation reliability among supply chain transportation companies corresponding to different supply chain nodes. Delays in the transportation of output products from any supply chain node will impact the production and operation of the entire industrial supply chain. Furthermore, transportation management information and production information are isolated between supply chain transportation companies, as well as between supply chain transportation companies and production companies. This prevents each supply chain transportation company from intelligently and efficiently allocating supply chain transportation tasks based on actual production and transportation conditions. Furthermore, in actual operation, because the transportation execution of each supply chain node in a supply chain scenario depends not only on that node but also on the supply chain nodes before and after it, and because the transportation intervals between each supply chain node and the next vary (depending on each supply chain node's raw material storage capacity, raw material consumption capacity, product storage capacity, and product production capacity), the allocation of regional industrial supply chain transportation tasks within transportation resources can lead to issues such as insufficient transportation resource utilization, irrational allocation of supply chain transportation tasks, low transportation execution efficiency, and high transportation costs.

[0063] In order to solve the above problems, this embodiment obtains the regional transportation task set of the target industrial supply area, constructs the regional transportation control reference information set for each supply chain node in the task execution control period, obtains the supply chain production and transportation resources, and optimizes the regional transportation strategy based on the storage capacity information of each supply chain node and the constraints constructed by the supply chain transportation resources and the optimization goal determined by the regional transportation intensity of the supply chain. In this way, the transportation resource allocation and transportation action execution of each supply chain node transportation task under each industrial supply chain transportation task within the task execution control period are realized, the supply chain transportation reliability and the rationality and intelligence of the allocation of industrial supply chain transportation tasks within the regional scope are improved, and the transportation cost of the entire industrial supply chain is reduced while improving the utilization rate of transportation resources and the efficiency of transportation execution.

[0064] In a preferred embodiment, the step of obtaining a regional transportation task set for a target industrial supply area specifically includes:

[0065] S110: Acquire a plurality of regional industrial supply chains within the target industrial supply area in which each production entity serving as a supply chain node participates, wherein each supply chain node in the regional industrial supply chain is located within the target industrial supply area;

[0066] S120: Convert each extracted regional industrial supply chain into a corresponding industrial supply chain transportation task, and construct a regional transportation task set for the target industrial supply area by combining the supply chain identifier of each industrial supply chain transportation task with the preset task execution control period.

[0067] In this embodiment, by obtaining each regional industrial supply chain in the industrial supply area, the regional transportation task of each regional industrial supply chain is constructed according to the supply chain identification and task execution control period in each regional industrial supply chain, and then the regional transportation task set of the target industrial supply area is generated.

[0068] In a preferred embodiment, according to the supply chain identifier, the supply chain production planning text of each industrial supply chain transportation task is queried, and the node attributes and node production planning list of several supply chain nodes are extracted, which specifically includes:

[0069] S210: Querying, based on the supply chain identifier, a supply chain production planning text for each industrial supply chain transportation task in an industrial supply chain data management system; wherein the supply chain production planning text includes a plurality of information paragraphs describing different planning information categories during the supply chain operation process;

[0070] S220: Utilize the large language model trained with domain knowledge to extract the information summary of each information paragraph, and analyze and generate a list of node attributes and node production plans of several supply chain nodes based on several keywords recorded in the information summary.

[0071] Furthermore, based on the keywords recorded in the information summary, the node attributes and node production planning list steps of the supply chain nodes are analyzed and generated, specifically including:

[0072] S221: Using a natural language processing tool to perform word segmentation, part-of-speech analysis, and keyword extraction on each information summary to obtain a number of keywords recorded in the information summary;

[0073] S222: Analyze and generate multiple attribute information and multiple production planning information for each supply chain node based on the part of speech of each keyword and its cosine similarity with each preset word in the preset word set; wherein the attribute information includes storage capacity information, location information, and identifiers of upstream and downstream supply chain nodes; and the production planning information includes multiple production output time periods for each supply chain node and the production output output and raw material demand for each production output time period;

[0074] S223: constructing node attributes of several supply chain nodes based on several attribute information; constructing node production planning lists of several supply chain nodes based on several production planning information.

[0075] In this embodiment, by extracting the supply chain identifier in each industrial supply chain transportation task, querying the supply chain production planning text in the industrial supply chain data management system, using a large language model to extract the information summary and using natural language processing tools to process the information summary, and then based on the part of speech of each keyword in the information summary and the cosine similarity with each preset word in the first preset word set associated with the attribute information and the second preset word set associated with the production planning information, analyze and generate several attribute information and several production planning information of each supply chain node, and thereby determine the node attributes and node production planning list of each supply chain node.

[0076] In a preferred embodiment, the steps of mapping a plurality of production planning tasks in the node production planning list to the task execution control period and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes specifically include:

[0077] S310: Converting the production plan tasks for different periods in the node production planning list into production output and raw material demand for each transportation cycle, and mapping the production output and raw material demand for each transportation cycle to the task execution control period to obtain the production output and raw material demand for different transportation cycles in the task execution control period;

[0078] S320: Generate a regional transportation control reference information set for each supply chain node during the task execution control period based on the production output and raw material demand of each supply chain node in different transportation cycles and the storage capacity information and location information in the node attributes of the supply chain node.

[0079] In this embodiment, after obtaining the node attributes and node production planning list of each supply chain node, the node production planning list is mapped to the task execution control period to obtain the production output and raw material demand of different transportation cycles in the task execution control period. The mapping result is then combined with the warehousing capacity information and location information in the node attributes of the supply chain node to determine the regional transportation control reference information set of each supply chain node in the task execution control period, providing data support for the subsequent execution of the regional transportation strategy solution.

[0080] In a preferred embodiment, the step of accessing supply chain production and transportation resources and extracting status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources specifically includes:

[0081] S410: Accessing supply chain production and transportation resources, extracting idle time periods of several supply chain production and transportation equipment in the supply chain production and transportation resources and maximum transportation volumes for products at different supply chain nodes;

[0082] S420: extracting status information of different transportation cycles within the task execution control period from the production and transportation resources of the supply chain based on the idle period of each supply chain production and transportation equipment and the task execution control period;

[0083] The status information includes the transportation status of each supply chain production and transportation equipment and the maximum transportation volume for products at different supply chain nodes.

[0084] In this embodiment, by accessing the supply chain production and transportation resources provided by each industrial supply chain, the idle periods of several supply chain production and transportation equipment and the maximum transportation volume for products at different supply chain nodes are extracted. Then, by comparing the idle periods with the task execution control period, the status information including the transportation status and maximum transportation volume in different transportation cycles within the task execution control period is extracted.

[0085] In a preferred embodiment, based on the status information of supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the steps of optimizing and solving the regional transportation strategy are specifically as follows:

[0086] S510: Based on the transportation status of the supply chain production and transportation equipment and the single transportation volume of products at different supply chain nodes, as well as a plurality of attribute information and a plurality of production planning information of each supply chain node;

[0087] S520: Allocate each transport cycle of each supply chain production transport equipment in the task execution control period to a corresponding transport task period from the corresponding supply chain node to the next supply chain node or to a transport equipment scheduling period between two adjacent transport task periods;

[0088] S530: Based on the first constraint condition constructed by the first warehousing capacity quantification value and the second warehousing capacity quantification value, the second constraint condition constructed by the transportation distance of the supply chain production and transportation equipment, the third constraint condition constructed by the transportation volume of the supply chain production and transportation equipment, and the optimization target constructed by the driving distance of the supply chain production and transportation equipment, an optimization algorithm is used to optimize and solve the regional transportation strategy.

[0089] Furthermore, the first constraint condition is constructed by using the first warehousing capacity quantified value and the second warehousing capacity quantified value, the second constraint condition is constructed by using the transportation distance of the supply chain production and transportation equipment, the transportation volume of the supply chain production and transportation equipment is used as the third constraint, and the minimization of the travel distance of the supply chain production and transportation equipment is used as the optimization goal. The optimization algorithm is used to optimize the steps of solving the regional transportation strategy, which specifically include:

[0090] S531: The first constraint condition is that the product storage capacity of each supply chain node in each transportation cycle, which is determined based on the sum of the production output of each supply chain node in each transportation cycle and the single transportation capacity of several supply chain production and transportation equipment allocated to each supply chain node in each transportation task period, is less than the second warehousing capacity quantified value of the supply chain node, and the raw material storage capacity of each supply chain node in each transportation cycle, which is determined based on the raw material demand of each supply chain node in each transportation cycle and the sum of the single transportation capacity of several supply chain production and transportation equipment allocated to the previous supply chain node in each transportation task period, is less than the first warehousing capacity quantified value of the supply chain node;

[0091] S532: The second constraint condition is that the path distance between the position information of the supply chain node where each supply chain production and transportation equipment is located at the end of the previous transportation task period and the position information of the supply chain node where it is located at the beginning of the next transportation task period is less than the product of the duration of the transportation equipment scheduling period between the two transportation task periods and the standard transportation speed of the supply chain production and transportation equipment, and the path distance between the position information of the supply chain node of each supply chain production and transportation equipment in each transportation task period and the position information of the next supply chain node is less than the product of the duration of the transportation task period and the standard transportation speed of the supply chain production and transportation equipment.

[0092] S533: The third constraint condition is that the single transport volume of the multiple supply chain production and transportation equipment assigned to each transport task period is less than the maximum transport volume of each supply chain production and transportation equipment for the corresponding supply chain node product; the optimization objective is to minimize the cumulative sum of the sum of the transport distances of the multiple supply chain production and transportation equipment in each transport task period within the task execution control period and the sum of the dispatch distances of each transport equipment in the dispatch period;

[0093] S534: Using an optimization algorithm, the optimization solution is to allocate each transportation cycle of each supply chain production transportation equipment in the task execution control period to the corresponding transportation task period from the corresponding supply chain node to the next supply chain node or the transportation equipment scheduling period between two adjacent transportation task periods.

[0094] In this embodiment, by obtaining supply chain production and transportation resources, considering the first constraint condition constructed according to the first warehousing capacity quantification value and the second warehousing capacity quantification value, the second constraint condition constructed by the transportation distance of the supply chain production and transportation equipment, the third constraint condition constructed by the transportation volume of the supply chain production and transportation equipment, and the optimization goal constructed by the driving distance of the supply chain production and transportation equipment, an optimization algorithm is used to optimize and solve the regional transportation strategy, so as to realize the transportation resource allocation and regional transportation action execution for each supply chain node transportation task under each industrial supply chain transportation task within the task execution control period, considering the production and transportation impact between each supply chain node in the industrial supply chain and the influence of factors such as the raw material storage capacity, raw material consumption capacity, product storage capacity and product production capacity of each supply chain node, all supply chain nodes under the entire supply chain share all transportation resources and production and transportation information, so as to improve the supply chain transportation reliability and the rationality and intelligence of the allocation of industrial supply chain transportation tasks within the regional scope, while improving the transportation resource utilization rate and transportation execution efficiency, and reducing the transportation cost of the entire industrial supply chain.

[0095] In a preferred embodiment, extracting the planned transportation route of each supply chain production and transportation equipment in the regional transportation strategy and executing the regional transportation action steps during the task execution control period specifically include:

[0096] S610: Extracting a number of transport cycles allocated to each supply chain production and transportation equipment from a corresponding supply chain node to a next supply chain node during each transport task period and location information of both supply chain nodes, and generating a planned transport route for each supply chain production and transportation equipment;

[0097] S620: Generate transportation guidance information for each supply chain production and transportation equipment during the task execution control period based on the transportation path determined by the multiple transportation cycles and supply chain node location information of each transportation task period recorded in the planned transportation route;

[0098] S630: Send the transportation guidance information to each supply chain production transportation equipment to execute regional transportation actions during the task execution control period.

[0099] In this embodiment, after obtaining the final regional transportation strategy, the planned transportation route is generated by extracting the transportation time and transportation location corresponding to the transportation task performed by each supply chain production transportation equipment in the regional transportation strategy during each transportation task period, and then transportation guidance information is generated based on the planned transportation route, so as to realize the transportation resource allocation and regional transportation action execution for each supply chain node transportation task under each industrial supply chain transportation task within the task execution control period.

[0100] Reference Figure 2 , Figure 2This is a structural block diagram of an embodiment of the system for intelligent allocation and efficient execution of regional transportation tasks of the present invention.

[0101] like Figure 2 As shown, the intelligent allocation and efficient execution system of regional transportation tasks proposed in the embodiment of the present invention includes:

[0102] An acquisition module 10 is configured to acquire a regional transport task set for a target industrial supply area; wherein the regional transport task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transport tasks;

[0103] An extraction module 20 is used to query the supply chain production planning text of each industrial supply chain transportation task according to the supply chain identifier, and extract node attributes and node production planning lists of multiple supply chain nodes;

[0104] A mapping module 30 is configured to map the plurality of production planning tasks in the node production planning list to the task execution control period, and generate a regional transportation control reference information set for each supply chain node during the task execution control period based on the mapping results of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage;

[0105] An access module 40 is configured to access supply chain production and transportation resources and extract status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period from the supply chain production and transportation resources;

[0106] A solution module 50 is configured to optimize and solve the regional transportation strategy based on the status information of the supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, taking into account the storage capacity information of each supply chain node, the constraints of the supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain;

[0107] The execution module 60 is used to extract the planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy and execute the regional transportation actions during the task execution control period.

[0108] Other embodiments or specific implementations of the system for intelligent allocation and efficient execution of regional transportation tasks of the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0109] It should be understood that, in the description of this specification, reference to terms such as "one embodiment," "another embodiment," "other embodiments," or "first to Nth embodiments" means that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples.

[0110] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0111] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for intelligent allocation and efficient execution of regional transportation tasks, characterized in that: The following steps are involved: Acquire a regional transportation task set for a target industrial supply area; wherein the regional transportation task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transportation tasks; According to the supply chain identifier, the supply chain production planning text of each industrial supply chain transportation task is queried, and node attributes and node production planning lists of several supply chain nodes are extracted; specifically, the process includes: Based on the supply chain identifier, querying the industrial supply chain data management system for a supply chain production planning text for each industrial supply chain transportation task; wherein the supply chain production planning text includes a plurality of information paragraphs describing different planning information categories during the supply chain operation process; Using a large language model trained with domain knowledge, the system extracts the information summary of each information paragraph. Based on the keywords recorded in the information summary, it analyzes and generates a list of node attributes and node production plans for several supply chain nodes. Mapping a plurality of production planning tasks in the node production planning list to the task execution control period, and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage; Accessing supply chain production and transportation resources, and extracting status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources; Based on the status information of supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the regional transportation strategy is optimized and solved by considering the storage capacity information of each supply chain node, the constraints of supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain; The planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy are extracted, and regional transportation actions during the task execution control period are executed.

2. The method for intelligent allocation and efficient execution of regional transportation tasks according to claim 1, characterized in that: The steps for obtaining the regional transportation task set for the target industrial supply area include: Acquire a plurality of regional industrial supply chains within the target industrial supply area, in which each production entity serving as a supply chain node in the target industrial supply area participates; wherein each supply chain node in the regional industrial supply chain is located within the target industrial supply area; Each extracted regional industrial supply chain is converted into a corresponding industrial supply chain transportation task, and the supply chain identification of each industrial supply chain transportation task and the preset task execution control period are constructed into a regional transportation task set for the target industrial supply area.

3. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 1, characterized in that: According to the keywords recorded in the information summary, the node attributes and node production planning list steps of the supply chain nodes are analyzed and generated, specifically including: Use natural language processing tools to perform word segmentation, part-of-speech analysis, and keyword extraction on each information summary to obtain several keywords recorded in the information summary; Based on the part of speech of each keyword and its cosine similarity with each preset word in the preset word set, several attribute information and production planning information of each supply chain node are analyzed and generated; wherein the attribute information includes storage capacity information, location information, and identifiers of the upstream and downstream supply chain nodes; the production planning information includes several production output time periods of each supply chain node and the production output output and raw material demand of each production output time period; According to a plurality of attribute information, node attributes of a plurality of supply chain nodes are constructed; according to a plurality of production planning information, a node production planning list of a plurality of supply chain nodes is constructed.

4. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 1, characterized in that: The steps of mapping a plurality of production planning tasks in the node production planning list to the task execution control period, and generating a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping result of the task execution control period and the storage capacity information and location information in the node attributes, specifically include: Converting the production planning tasks for different periods in the node production planning list into production output and raw material demand for each transportation cycle, and mapping the production output and raw material demand for each transportation cycle to the task execution control period to obtain the production output and raw material demand for different transportation cycles in the task execution control period; Based on the production output and raw material demand of each supply chain node in different transportation cycles and the storage capacity information and location information in the node attributes of the supply chain node, a regional transportation control reference information set is generated for each supply chain node in the task execution control period.

5. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 4, characterized in that: The steps of accessing supply chain production and transportation resources and extracting status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources specifically include: Accessing supply chain production and transportation resources, extracting idle time periods of several supply chain production and transportation equipment in the supply chain production and transportation resources and maximum transportation volumes for products at different supply chain nodes; Based on the idle period of each supply chain production and transportation equipment and the task execution control period, extracting the status information of different transportation cycles in the task execution control period in the supply chain production and transportation resources; The status information includes the transportation status of each supply chain production and transportation equipment and the maximum transportation volume for products at different supply chain nodes.

6. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 1, wherein: Based on the status information of supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, the regional transportation strategy is optimized and solved by considering the storage capacity information of each supply chain node, the constraints of supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain. Specifically, the steps include: Based on the transportation status of supply chain production and transportation equipment and the single transportation volume of products at different supply chain nodes, as well as several attribute information and several production planning information of each supply chain node; Allocate each transport cycle of each supply chain production transport equipment in the task execution control period to the corresponding transport task period from the corresponding supply chain node to the next supply chain node or the transport equipment scheduling period between two adjacent transport task periods; According to the first constraint condition constructed by the first warehousing capacity quantification value and the second warehousing capacity quantification value, the second constraint condition constructed by the transportation distance of the supply chain production and transportation equipment, the third constraint condition constructed by the transportation volume of the supply chain production and transportation equipment, and the optimization target constructed by the driving distance of the supply chain production and transportation equipment, an optimization algorithm is used to optimize and solve the regional transportation strategy.

7. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 6, characterized in that: The first constraint condition is constructed by the quantitative value of the first warehousing capacity and the quantitative value of the second warehousing capacity. The second constraint condition is constructed by the transportation distance of the production and transportation equipment of the supply chain. The transportation volume of the production and transportation equipment of the supply chain is used as the third constraint condition. The minimization of the travel distance of the production and transportation equipment of the supply chain is used as the optimization goal. The optimization algorithm is used to optimize the steps of solving the regional transportation strategy, which specifically include: The first constraint condition is that the product storage capacity of each supply chain node in each transportation cycle, which is determined based on the sum of the production output of each supply chain node in each transportation cycle and the single transportation capacity of several supply chain production and transportation equipment allocated to each supply chain node in each transportation task period, is less than the second warehousing capacity quantified value of the supply chain node, and the raw material storage capacity of each supply chain node in each transportation cycle, which is determined based on the sum of the raw material demand of each supply chain node in each transportation cycle and the single transportation capacity of several supply chain production and transportation equipment allocated to the previous supply chain node in each transportation task period, is less than the first warehousing capacity quantified value of the supply chain node; The second constraint condition is that the path distance between the position information of the supply chain node where each supply chain production and transportation equipment is located at the end of the previous transportation task period and the position information of the supply chain node where it is located at the beginning of the next transportation task period is less than the product of the duration of the transportation equipment scheduling period between the two transportation task periods and the standard transportation speed of the supply chain production and transportation equipment, and the path distance between the position information of the supply chain node of each supply chain production and transportation equipment in each transportation task period and the position information of the next supply chain node is less than the product of the duration of the transportation task period and the standard transportation speed of the supply chain production and transportation equipment; The third constraint condition is that the single transport volume of several supply chain production and transportation equipment assigned to each transport task period is less than the maximum transport volume of each supply chain production and transportation equipment for the corresponding supply chain node product; the optimization goal is to minimize the cumulative sum of the sum of the transport distances of several supply chain production and transportation equipment in each transport task period within the task execution control period and the sum of the scheduling distances of each transportation equipment scheduling period; An optimization algorithm is used to optimize the regional transportation strategy that allocates each transportation cycle of each supply chain production transportation equipment in the task execution control period to the corresponding transportation task period from the corresponding supply chain node to the next supply chain node or the transportation equipment scheduling period between two adjacent transportation task periods.

8. The method for intelligently allocating and efficiently executing regional transportation tasks according to claim 1, wherein: Extract the planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy, and execute the regional transportation action steps during the task execution control period, specifically including: Extracting the multiple transport cycles allocated from the corresponding supply chain node to the next supply chain node during each transport task period executed by each supply chain production and transportation equipment in the regional transport strategy and the location information of both supply chain nodes, and generating a planned transport route for each supply chain production and transportation equipment; Generate transportation guidance information for each supply chain production and transportation equipment during the task execution control period based on the transportation path determined by the transportation cycles and location information of the supply chain nodes during each transportation task period recorded in the planned transportation route; The transportation guidance information is sent to each supply chain production transportation equipment to perform regional transportation actions during the task execution control period.

9. An intelligent allocation and efficient execution system for regional transportation tasks, characterized by: include: An acquisition module is used to acquire a regional transportation task set of a target industrial supply area; wherein the regional transportation task set includes a task execution control period and supply chain identifiers of a plurality of industrial supply chain transportation tasks; The extraction module is used to query the supply chain production planning text of each industrial supply chain transportation task based on the supply chain identifier, and extract the node attributes and node production planning list of several supply chain nodes; specifically, it includes: Based on the supply chain identifier, querying the industrial supply chain data management system for a supply chain production planning text for each industrial supply chain transportation task; wherein the supply chain production planning text includes a plurality of information paragraphs describing different planning information categories during the supply chain operation process; Using a large language model trained with domain knowledge, the system extracts the information summary of each information paragraph. Based on the keywords recorded in the information summary, it analyzes and generates a list of node attributes and node production plans for several supply chain nodes. A mapping module is configured to map a plurality of production planning tasks in the node production planning list to the task execution control period, and generate a regional transportation control reference information set for each supply chain node in the task execution control period based on the mapping results of the task execution control period and the storage capacity information and location information in the node attributes; wherein the storage capacity information includes a first storage capacity quantified value for the node raw material storage and a second storage capacity quantified value for the node product storage; An access module is used to access supply chain production and transportation resources and extract status information of supply chain production and transportation equipment in different transportation cycles within a task execution control period in the supply chain production and transportation resources; The solution module is used to optimize and solve the regional transportation strategy based on the status information of the supply chain production and transportation equipment and the regional transportation control reference information set of each supply chain node, taking into account the storage capacity information of each supply chain node, the constraints of the supply chain transportation resource construction, and the optimization goal determined by the regional transportation intensity of the supply chain; The execution module is used to extract the planned transportation routes of each supply chain production and transportation equipment in the regional transportation strategy and execute the regional transportation actions during the task execution control period.

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