Bulk logistics multimodal transport conversion connection optimization method and system

Abstract

The application provides a bulk logistics multimodal transport conversion connection optimization method and system, relates to the intermodal optimization technical field, extracts a plurality of total transport paths, obtains expected transport paths and information; obtains a transfer node according to the expected transport path information, and then obtains a stage transport path, and then comprehensively evaluates the stage transport path and the expected transport path; comparing the path comprehensive evaluation results of the transport paths, obtaining an evaluation comparison result, replacing the paths according to the evaluation comparison result, obtaining a replacement result, obtaining an optimal expected path according to the replacement result; comparing the stage transport paths, obtaining an abnormal transport path, obtaining a normal transport path used for replacement according to the path similarity, replacing the paths, and then obtaining an updated expected path; the application can effectively cope with complex and changeable cargo transport demands, improve transport efficiency, reduce transport cost, and improve the individualization degree of demand optimization.

Description

Technical Field

[0001] This invention proposes a method and system for optimizing the conversion and connection of bulk logistics in multimodal transport, which relates to the field of intermodal transport optimization technology, specifically to the field of optimizing the conversion and connection of bulk logistics in multimodal transport. Background Technology

[0002] With the rapid development of the logistics industry and the popularization of e-commerce, the demand for freight transportation is becoming increasingly complex and diversified, placing higher demands on the optimization and selection of transportation routes. Traditional freight transportation route planning methods often rely on human experience and simple rule judgments, which are difficult to cope with large-scale, multi-variable, and dynamically changing freight transportation demands.

[0003] Existing freight transportation route optimization technologies struggle to obtain ideal transportation routes and are unable to perform anomaly optimization on various parts of the overall transportation route. As a result, the transportation routes obtained by existing technologies often fail to match and optimize actual needs. Furthermore, the route planning is not precise enough, anomaly handling is not timely enough, and the optimization effect is limited. Summary of the Invention

[0004] This invention provides a method and system for optimizing multimodal transport transitions in bulk logistics. It addresses the shortcomings of existing cargo transportation route optimization technologies, such as difficulty in obtaining ideal transportation routes and the inability to optimize individual parts of the overall transportation route for anomalies. These limitations often result in transportation routes obtained by existing technologies that are difficult to match and optimize with actual needs, and also suffer from insufficient route planning, untimely anomaly handling, and limited optimization effectiveness.

[0005] This invention proposes a method and system for optimizing the connection and transition of bulk logistics in multimodal transport, the method comprising:

[0006] S1. Obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, and obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, thereby obtaining the desired transportation route information.

[0007] S2. Obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. Collect and compare the route evaluation indicators for each type of stage transportation route, and then conduct a comprehensive evaluation of the stage transportation route and the expected transportation route.

[0008] S3. Compare the comprehensive evaluation results of the transportation routes to obtain the evaluation comparison results, replace the routes according to the evaluation comparison results to obtain the replacement results, and obtain the optimal expected route according to the replacement results.

[0009] S4. Perform anomaly comparison on the stage transportation path to obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and then obtain the updated expected path.

[0010] Further, S1 includes:

[0011] Obtain cargo transportation demand information and preset transportation route network for each item in bulk logistics;

[0012] The total transportation route is extracted from the preset transportation route network based on the cargo transportation demand information.

[0013] Obtain the preset optimization targets from the transportation demand information, select the total transportation path that satisfies the most preset optimization targets from multiple transportation paths as the desired transportation path, and obtain the desired transportation path information.

[0014] Further, S2 includes:

[0015] Based on the expected transportation route information, obtain the transit nodes of the expected transportation route, and based on the transit nodes, obtain multiple stages of transportation routes;

[0016] Obtain multiple types of preset route evaluation indicators, collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, and obtain multiple types of indicator data for each stage of the transportation route.

[0017] The data for each category of indicators is compared with the corresponding indicator threshold to obtain the indicator comparison results;

[0018] The number of abnormal indicator types in the stage transportation path is obtained based on the indicator comparison results. The number of abnormal indicator types is compared with the preset indicator number threshold to obtain the indicator number comparison results and obtain the number of abnormal stage transportation.

[0019] Based on the number of abnormal indicators of the transportation path in a stage, a comprehensive evaluation of the transportation path in that stage is conducted to obtain the stage comprehensive evaluation result.

[0020] The number of transports in abnormal stages is compared with a preset threshold for the number of stages to obtain the abnormality comparison results;

[0021] Based on the number of abnormal stages of transportation along the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route.

[0022] Further, S3 includes:

[0023] Obtain all comprehensive evaluation results for the desired transportation route and the total transportation route;

[0024] The comprehensive evaluation results of the desired transportation route are compared with the comprehensive evaluation results of the other total transportation routes in turn to obtain multiple evaluation comparison results.

[0025] Based on the evaluation and comparison results, route replacement is performed. The transportation route with the larger comprehensive evaluation result is used to replace the transportation route with the smaller comprehensive evaluation result to obtain the replacement result.

[0026] Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

[0027] Further, S4 includes:

[0028] The optimal expected path is obtained by acquiring multiple stages of transportation paths, and the comprehensive evaluation result of each stage of transportation path is compared with the preset anomaly evaluation threshold to obtain the stage path comparison result.

[0029] Based on the comparison results of the aforementioned stage paths, abnormal transportation paths are marked to obtain abnormal transportation paths;

[0030] Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

[0031] Furthermore, the system includes:

[0032] The route planning module is used to obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, and obtain the desired transportation route information.

[0033] The comprehensive evaluation module is used to obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. It collects and compares the path evaluation indicators of each type for the stage transportation route, and then conducts a comprehensive evaluation of the stage transportation route and the expected transportation route.

[0034] The optimal acquisition module is used to compare the comprehensive evaluation results of the transportation routes, obtain the evaluation comparison results, perform route replacement based on the evaluation comparison results, obtain the replacement results, and obtain the optimal expected route based on the replacement results.

[0035] The path update module is used to compare the stage transportation paths for anomalies, obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and thus obtain the expected updated path.

[0036] Furthermore, the path planning module includes:

[0037] The information acquisition module is used to acquire cargo transportation demand information and preset transportation route network for each cargo in bulk logistics;

[0038] The route extraction module is used to extract the total transportation route from the preset transportation route network based on the cargo transportation demand information.

[0039] The optimization extraction module is used to obtain the preset optimization targets in the transportation demand information, and to obtain the total transportation path that satisfies the most preset optimization targets among multiple transportation paths as the desired transportation path, thereby obtaining the desired transportation path information.

[0040] Furthermore, the comprehensive evaluation module includes:

[0041] The segmentation module is used to obtain the transit nodes of the desired transportation route based on the desired transportation route information, and to obtain multiple stages of transportation routes based on the transit nodes.

[0042] The indicator acquisition module is used to acquire multiple types of preset route evaluation indicators, and to collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, thereby obtaining multiple types of indicator data for each stage of the transportation route.

[0043] The anomaly comparison module is used to compare the data of each type of indicator with the corresponding indicator threshold to obtain the indicator comparison results;

[0044] The anomaly detection module is used to obtain the number of abnormal indicator types in the stage transportation path based on the indicator comparison results, compare the number of abnormal indicator types with the preset indicator number threshold, and obtain the number of abnormal stage transportation based on the indicator number comparison results.

[0045] The phase evaluation module is used to comprehensively evaluate the phase transportation path based on the number of abnormal indicators of the phase transportation path and obtain the phase comprehensive evaluation result.

[0046] The route evaluation module is used to compare the number of transports in abnormal stages with a preset threshold for the number of stages to obtain the abnormality comparison results.

[0047] Based on the number of abnormal stages of transportation along the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route.

[0048] Furthermore, the optimal acquisition module includes:

[0049] The route comparison module is used to obtain all comprehensive evaluation results of the desired transportation route and the total transportation route;

[0050] The comprehensive evaluation results of the desired transportation route are compared with the comprehensive evaluation results of the other total transportation routes in turn to obtain multiple evaluation comparison results.

[0051] The route replacement module is used to replace routes based on the evaluation comparison results. It replaces the transportation routes with lower comprehensive evaluation results with the transportation routes with higher comprehensive evaluation results to obtain the replacement results.

[0052] Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

[0053] Furthermore, the path update module includes:

[0054] The stage comparison module is used to obtain multiple stage transportation paths of the optimal expected path, and compare the stage comprehensive evaluation result of each stage transportation path with the preset anomaly evaluation threshold to obtain the stage path comparison result.

[0055] The stage replacement module is used to mark abnormal transportation paths based on the stage path comparison results and obtain abnormal transportation paths.

[0056] Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

[0057] The beneficial effects of this invention are as follows: By optimizing transportation routes and reducing transit time, the overall efficiency of cargo transportation is significantly improved. By comprehensively considering the costs of various transportation modes, the most cost-effective transportation route is selected, reducing the logistics costs for enterprises. Through anomaly detection and route replacement, potential safety risks are avoided, ensuring the safety of goods during transportation. By shortening transportation time and improving transportation reliability, customer satisfaction with logistics services is enhanced. Considering environmental factors such as carbon emissions during the optimization process helps enterprises achieve green logistics and promote sustainable development. Utilizing big data and intelligent algorithms for route optimization and anomaly handling provides enterprises with intelligent decision support, improving the scientific nature and accuracy of logistics management. Attached Figure Description

[0058] Figure 1 This is a schematic diagram of an optimization method for the conversion and connection of bulk logistics in multimodal transport. Detailed Implementation

[0059] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0060] In one embodiment of the present invention, a method and system for optimizing the connection and transition of bulk logistics in multimodal transport are proposed, the method comprising:

[0061] S1. Obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, and obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, thereby obtaining the desired transportation route information.

[0062] S2. Obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. Collect and compare the route evaluation indicators for each type of stage transportation route, and then conduct a comprehensive evaluation of the stage transportation route and the expected transportation route.

[0063] S3. Compare the comprehensive evaluation results of the transportation routes to obtain the evaluation comparison results, replace the routes according to the evaluation comparison results to obtain the replacement results, and obtain the optimal expected route according to the replacement results.

[0064] S4. Perform anomaly comparison on the stage transportation path to obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and then obtain the updated expected path.

[0065] The working principle of the above technical solution is as follows: The system collects specific demand information for cargo transportation, such as cargo type, quantity, origin, and destination. Based on a preset transportation route network (including various transportation modes such as road, rail, waterway, and air, and their connecting points), the system extracts multiple possible total transportation routes. According to preset optimization objectives (such as lowest cost, shortest time, and lowest carbon emissions), the desired transportation route is selected from multiple total transportation routes. The desired transportation route is subdivided into multiple stage transportation routes, each stage may involve different transportation modes and transfer nodes. Detailed route evaluation indicators are collected for each stage transportation route, such as transportation time, cost, safety, and reliability. By comparing with preset standards or historical data, possible abnormal transportation routes (such as excessively long transportation time, excessively high cost, and high safety risks) are identified. A comprehensive evaluation is performed on all stage transportation routes and the overall desired transportation route, considering the mutual influence of each stage and the overall optimization objectives. Based on the comprehensive evaluation results, poorly performing route segments are replaced, and better alternatives are found to obtain the optimal desired route. For detected abnormal transportation routes, the system uses a route similarity algorithm to find similar but normally performing transportation routes as replacement options. After implementing the route replacement, the expected route is re-evaluated and updated to ensure the efficiency, safety, and cost-effectiveness of the entire transportation process.

[0066] The technical effects of the above solutions are as follows: Significantly improving the overall efficiency of cargo transportation by optimizing transportation routes and reducing transit time; Selecting the most cost-effective transportation route by comprehensively considering the costs of various transportation modes, thereby reducing the company's logistics costs; Avoiding potential safety risks and ensuring the safety of goods during transportation by anomaly detection and route replacement; Enhancing customer satisfaction with logistics services by shortening transportation time and improving transportation reliability; Considering environmental factors such as carbon emissions during the optimization process, which helps companies achieve green logistics and promote sustainable development; and Providing intelligent decision support for enterprises through big data and intelligent algorithms for route optimization and anomaly handling, thereby improving the scientific nature and accuracy of logistics management.

[0067] In one embodiment of the present invention, S1 includes:

[0068] Obtain cargo transportation demand information (transportation origin, destination, expected transportation time, etc.) and preset transportation route network for each cargo in bulk logistics;

[0069] Based on the cargo transportation demand information, the total transportation route (all paths that can reach the destination from the transportation origin point, the total transportation route includes multiple stages of transportation routes and transit nodes) is extracted from the preset transportation route network.

[0070] Obtain the preset optimization objectives (lowest cost, shortest time, etc.) from the transportation demand information, and select the total transportation path that satisfies the most preset optimization objectives from multiple transportation paths as the desired transportation path (if there is no total transportation path that satisfies the most preset optimization objectives, the preset weight of the objectives shall be used as the standard), and obtain the desired transportation path information.

[0071] The working principle of the above technical solution is as follows: The system first collects detailed cargo transportation demand information for each shipment, including but not limited to key information such as the origin, destination, and expected transportation time. This information forms the basis for subsequent route planning and optimization. The system also loads a pre-defined transportation route network, which includes various modes of transportation (such as road, rail, waterway, and air) and their connecting points (transfer nodes), constituting a set of potential cargo transportation routes. Based on the origin and destination of the cargo transportation, the system uses graph theory or path search algorithms (such as Dijkstra's algorithm, A* algorithm, etc.) to search for all possible total transportation routes in the pre-defined transportation route network. These routes start from the origin, pass through a series of transfer nodes, and finally reach the destination. Each total transportation route is further subdivided into multiple stage transportation routes, each stage may involve different modes of transportation and different transfer nodes. This subdivision facilitates subsequent detailed analysis and optimization of the routes.

[0072] The system analyzes the pre-defined optimization objectives from transportation demand information, such as lowest cost and shortest time. These objectives may be singular or a combination of multiple objectives weighted according to certain weights. The system evaluates the extracted multiple total transportation routes, calculating the performance of each route in meeting the pre-defined optimization objectives. If no single route can fully meet all optimization objectives, the system weighs the objectives according to their pre-defined weights and selects the route with the highest overall score as the desired transportation route. The system acquires and outputs detailed information about the desired transportation route, including transportation modes, transfer nodes, and estimated transportation time at each stage.

[0073] The technical benefits of the above solution are as follows: Through automated route search and optimization algorithms, the system quickly finds the optimal route to meet transportation needs, reducing the time and errors associated with manual planning and improving logistics efficiency. Considering cost factors among multiple optimization objectives, it can select the lowest-cost or most cost-effective transportation route, helping enterprises reduce logistics costs. When expected transportation time becomes the primary optimization objective, the system prioritizes the shortest route, ensuring timely delivery and improving customer satisfaction. The system supports combinations and weight adjustments of various optimization objectives, allowing for flexible configuration based on different transportation needs and business scenarios to meet the personalized needs of different customers. Through refined route planning and stage division, it helps enterprises better utilize transportation resources (such as vehicles, ships, and aircraft), reducing empty runs and waiting time, and improving resource utilization. The expected transportation route information output by the system provides enterprises with rich data support, aiding in logistics decision analysis and optimizing supply chain management processes.

[0074] In one embodiment of the present invention, S2 includes:

[0075] Based on the expected transportation route information, obtain the transit nodes of the expected transportation route, and based on the transit nodes, obtain multiple stages of transportation routes;

[0076] Acquire multiple types of preset route evaluation indicators (transportation distance, transportation time, transportation weight range, transportation cost, and transportation weather, etc.), collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, and obtain multiple types of indicator data for each stage of the transportation route.

[0077] The data for each category of indicators is compared with the corresponding indicator threshold to obtain the indicator comparison results;

[0078] The number of abnormal indicator types in the stage transportation path is obtained based on the indicator comparison results. The number of abnormal indicator types is compared with the preset indicator number threshold to obtain the indicator number comparison results and obtain the number of abnormal stage transportation.

[0079] Based on the number of abnormal indicators in a stage transportation route, a comprehensive evaluation of the stage transportation route is conducted to obtain the stage comprehensive evaluation result (assuming there are N abnormal indicator types in a stage transportation route, then the evaluation of the stage transportation route is level N abnormal, N=1-∞).

[0080] Obtain the phase comprehensive evaluation information of the phase transportation route, and calculate the phase comprehensive evaluation coefficient of each phase transportation route based on the phase comprehensive evaluation information;

[0081] The formula for calculating the comprehensive evaluation coefficient of the aforementioned stage is as follows:

[0082]

[0083] Among them, Z jd Here, is the phase-based comprehensive evaluation coefficient for the phased transportation route, o is the total number of preset route evaluation indicators, and h is... bsi h represents the actual collected data for the i-th preset path evaluation index. byi YB is the threshold value for the i-th preset path evaluation indicator, and J is the threshold value for the number of preset indicators. q h is the preset weight value for the stage transportation path. bsi -h byi When h is a positive number, let it be 1. bsi -h byi When the value is negative, set it to 0; the larger the evaluation coefficient, the more abnormal it is.

[0084] The number of transports in abnormal stages is compared with a preset threshold for the number of stages to obtain the abnormality comparison results;

[0085] Based on the number of abnormal transportation stages in the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route (assuming that there are N abnormal transportation stages in the expected transportation route, then the evaluation of the expected transportation route is level N abnormal, N=1-∞).

[0086] Obtain the comprehensive evaluation information of the expected transportation routes, and calculate the expected comprehensive evaluation coefficient for each expected transportation route based on the comprehensive evaluation information.

[0087] The formula for calculating the expected comprehensive evaluation coefficient is as follows:

[0088]

[0089] Among them, Q zh Z represents the comprehensive evaluation coefficient of the desired transportation route, where c is the total number of transportation routes in the stage, and Z is the expected route. jda Z is the phase comprehensive evaluation coefficient for the transportation route in phase a. yda YZ is the preset stage coefficient threshold for the transportation path in stage a, and W is the preset threshold for the number of abnormal stages.q Z represents the preset weight value for the desired transportation route. jda -Z yda When Z is a positive number, let it be 1. jda -Z yda When the value is negative, set it to 0.

[0090] The working principle of the above technical solution is as follows: Based on the desired transportation route information, the system first identifies all transit nodes. Based on these transit nodes, the desired transportation route is divided into multiple stage transportation routes, each stage corresponding to the transportation process from one transit node to the next (or from the starting point to the first transit node, or from the last transit node to the destination point). The system presets various route evaluation indicators, such as transportation distance, transportation time, transportation cost, and transportation weather, which are used to comprehensively evaluate the performance of the stage transportation route. For each stage transportation route, the system collects actual data for these preset indicators. The collected indicator data is compared with the corresponding indicator thresholds to identify indicator types that exceed the normal range (i.e., abnormal). The number of abnormal indicator types in each stage transportation route is counted and compared with the preset indicator number threshold. If the number of abnormal indicators exceeds the threshold, the stage is considered an abnormal stage. Based on the number of abnormal indicator types, the stage transportation route is graded and evaluated. For example, if there are N abnormal indicator types, it is evaluated as level N abnormal (the larger N is, the higher the degree of abnormality). The number of abnormal transport stages in the entire expected transport route is counted and compared with a preset threshold for the number of stages. Based on the number of abnormal transport stages, the expected transport route is comprehensively evaluated. Similarly, a graded evaluation method is used; if there are N abnormal transport stages, the route is evaluated as level N abnormal.

[0091] The technical effects of the above solution are as follows: By pre-setting multiple path evaluation indicators and collecting actual data, a refined assessment of stage transportation paths is achieved, which helps to identify potential problems and risks. Through the statistical analysis and comparison of the number of abnormal indicators, the system can automatically identify abnormal stage transportation paths, providing timely early warning information for enterprises and facilitating countermeasures. The use of a tiered evaluation method to comprehensively evaluate stage transportation paths and the overall expected transportation path makes the evaluation results more intuitive and easier to understand, helping enterprises formulate corresponding optimization strategies based on the evaluation results. The comprehensive evaluation results provide strong data support for enterprises, helping them to make more scientific and rational logistics decisions and improve the efficiency and level of logistics management. By identifying abnormal stage transportation paths, enterprises can optimize resource allocation, reduce investment in inefficient or high-risk paths, and improve resource utilization and overall efficiency. By timely identifying and resolving potential problems, delays and losses during transportation are reduced, improving customer satisfaction and loyalty. (The above formula is used to further illustrate this.) The number of abnormal indicator types can be calculated using the formula. The stage-specific comprehensive evaluation coefficient corresponding to the weight of the stage transportation path can be calculated using the formula above. To calculate the number of transport routes during the abnormal phase, using the formula... The expected route comprehensive evaluation coefficient corresponding to the weight of the expected transportation route can be calculated.

[0092] In one embodiment of the present invention, S3 includes:

[0093] Obtain all comprehensive evaluation results for the desired transportation route and the total transportation route;

[0094] The comprehensive evaluation result of the desired transportation route is compared sequentially with the comprehensive evaluation results of the remaining total transportation routes (pairwise comparisons are made; if the comprehensive evaluation result of the desired transportation route is less than that of the total transportation route, the total transportation route is replaced by the desired transportation route, and the replaced total transportation route is then compared with the comprehensive evaluation results of the other total transportation routes. Obtaining the desired transportation route reduces the number of replacements and saves computational resources). Multiple evaluation comparison results are obtained. The comprehensive evaluation coefficients of the remaining total transportation routes are calculated in the same way as the expected comprehensive evaluation coefficients. The comparison of comprehensive evaluation results can also be a comparison of comprehensive evaluation coefficients.

[0095] Based on the evaluation and comparison results, route replacement is performed. The transportation route with the larger comprehensive evaluation result is used to replace the transportation route with the smaller comprehensive evaluation result to obtain the replacement result.

[0096] Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

[0097] The working principle of the above technical solution is as follows: The system obtains the comprehensive evaluation results of the desired transportation path and all total transportation paths. These evaluation results are calculated through the previously described steps (including the division of transportation paths into stages, data collection, anomaly detection, and comprehensive evaluation). The system begins an iterative comparison process. In this process, the comprehensive evaluation result of the desired transportation path is compared sequentially with the comprehensive evaluation result of each of the remaining total transportation paths. The comparison adopts a pairwise comparison method, that is, only two paths are compared at a time. If the evaluation result of the desired transportation path is less than the evaluation result of a certain total transportation path, a replacement operation occurs, and the current desired transportation path is replaced with that total transportation path. The replaced "new" desired transportation path continues to be compared with the comprehensive evaluation results of other uncompared total transportation paths until all total transportation paths have been compared. During the comparison process, the replacement operation is guided by the comprehensive evaluation result (i.e., a quantitative representation of the comprehensive evaluation result). Transportation paths with larger comprehensive evaluation results (indicating better performance) are used to replace transportation paths with smaller comprehensive evaluation results. This replacement strategy aims to gradually optimize the desired transportation path while minimizing the number of replacements to save computational resources and time. After the above comparison and replacement process, the system finds the transportation path corresponding to the final replacement result among all replacement results, and this path is determined as the optimal expected path.

[0098] The technical effects of the above solution are as follows: Through iterative comparison and replacement processes, the system can gradually approach and find the optimal desired transportation route, thereby improving the efficiency of logistics route optimization. It reduces unnecessary computation and resource consumption. Through gradual replacement and comparison, the system can achieve the optimization goal while minimizing the number of replacements and computational load. The comparison and replacement strategy based on comprehensive evaluation results makes the decision-making process more scientific and reasonable. The system can objectively evaluate the advantages and disadvantages of each route and make the optimal choice accordingly. By optimizing the desired transportation route, transportation time is shortened, costs are reduced, and the reliability and safety of transportation are improved, thus contributing to increased customer satisfaction. During the optimization process, the system can identify and avoid potential risk points (such as abnormal transportation routes), reducing uncertainty and risk in the transportation process. This method has high flexibility and adaptability, and can be customized and optimized according to different transportation needs and business scenarios to meet the personalized needs of different enterprises.

[0099] In one embodiment of the present invention, S4 includes:

[0100] The optimal expected path is obtained by acquiring multiple stages of transportation paths, and the comprehensive evaluation result of each stage of transportation path is compared with the preset anomaly evaluation threshold to obtain the stage path comparison result.

[0101] Based on the comparison results of the aforementioned stage paths, abnormal transportation paths are marked to obtain abnormal transportation paths;

[0102] Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

[0103] The formula for calculating the path similarity is:

[0104]

[0105] Where LS represents path similarity, p represents the number of path similarity metrics, and S us S represents the actual data for the u-th indicator. uy The preset data for the u-th indicator includes path length, preset transport weight, and transport time.

[0106] The working principle of the above technical solution is as follows: The optimal desired route is broken down into multiple stage transportation routes. This is based on transit nodes or other logical breakpoints within the route. A comprehensive evaluation is performed on each stage of the transportation route to obtain its stage comprehensive evaluation result. These results reflect the overall performance of that stage in terms of transportation efficiency, cost, and risk. The stage comprehensive evaluation result of each transportation route is compared with a preset anomaly evaluation threshold. If the evaluation result of a certain stage exceeds the threshold (i.e., it indicates that the stage is abnormal), then that stage is marked as an abnormal transportation route. For each transportation route marked as abnormal, the system needs to find the normal transportation route with the highest similarity. This typically involves comparing and matching various characteristics of the transportation route (such as origin, destination, waypoints, transportation mode, road conditions, etc.). The found normal transportation route is used to replace the abnormal transportation route, generating a new replacement route. This replacement process needs to ensure that the replaced route is logically coherent and meets actual transportation needs. The replaced routes are then recombined into the updated desired route. At this point, the system needs to check again whether there are still abnormal stages in the updated route. If an anomaly exists, repeat the above anomaly detection, replacement, and path update process until the updated expected path no longer contains any abnormal transport paths.

[0107] The technical effects of the above solution are as follows: By eliminating abnormal stages in the transportation route, efficiency losses caused by transportation interruptions, delays, or high costs are reduced, thereby improving overall transportation efficiency. Replacing abnormal routes with lower-cost normal routes helps reduce transportation costs and improve the company's economic benefits. Transportation risks caused by route abnormalities are reduced, improving the reliability and stability of transportation. By providing better transportation routes and more reliable transportation services, customer satisfaction and loyalty are enhanced. This process can be achieved through automated and intelligent systems, reducing human intervention and errors, and improving the accuracy and efficiency of decision-making. The system can flexibly adjust and optimize transportation routes according to actual conditions and changes in transportation demand, ensuring a smooth and efficient transportation process.

[0108] According to one embodiment of the present invention, the system includes:

[0109] The route planning module is used to obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, and obtain the desired transportation route information.

[0110] The comprehensive evaluation module is used to obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. It collects and compares the path evaluation indicators of each type for the stage transportation route, and then conducts a comprehensive evaluation of the stage transportation route and the expected transportation route.

[0111] The optimal acquisition module is used to compare the comprehensive evaluation results of the transportation routes, obtain the evaluation comparison results, perform route replacement based on the evaluation comparison results, obtain the replacement results, and obtain the optimal expected route based on the replacement results.

[0112] The path update module is used to compare the stage transportation paths for anomalies, obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and thus obtain the expected updated path.

[0113] The working principle of the above technical solution is as follows: The system collects specific demand information for cargo transportation, such as cargo type, quantity, origin, and destination. Based on a preset transportation route network (including various transportation modes such as road, rail, waterway, and air, and their connecting points), the system extracts multiple possible total transportation routes. According to preset optimization objectives (such as lowest cost, shortest time, and lowest carbon emissions), the desired transportation route is selected from multiple total transportation routes. The desired transportation route is subdivided into multiple stage transportation routes, each stage may involve different transportation modes and transfer nodes. Detailed route evaluation indicators are collected for each stage transportation route, such as transportation time, cost, safety, and reliability. By comparing with preset standards or historical data, possible abnormal transportation routes (such as excessively long transportation time, excessively high cost, and high safety risks) are identified. A comprehensive evaluation is performed on all stage transportation routes and the overall desired transportation route, considering the mutual influence of each stage and the overall optimization objectives. Based on the comprehensive evaluation results, poorly performing route segments are replaced, and better alternatives are found to obtain the optimal desired route. For detected abnormal transportation routes, the system uses a route similarity algorithm to find similar but normally performing transportation routes as replacement options. After implementing the route replacement, the expected route is re-evaluated and updated to ensure the efficiency, safety, and cost-effectiveness of the entire transportation process.

[0114] The technical effects of the above solutions are as follows: Significantly improving the overall efficiency of cargo transportation by optimizing transportation routes and reducing transit time; Selecting the most cost-effective transportation route by comprehensively considering the costs of various transportation modes, thereby reducing the company's logistics costs; Avoiding potential safety risks and ensuring the safety of goods during transportation by anomaly detection and route replacement; Enhancing customer satisfaction with logistics services by shortening transportation time and improving transportation reliability; Considering environmental factors such as carbon emissions during the optimization process, which helps companies achieve green logistics and promote sustainable development; and Providing intelligent decision support for enterprises through big data and intelligent algorithms for route optimization and anomaly handling, thereby improving the scientific nature and accuracy of logistics management.

[0115] In one embodiment of the present invention, the path planning module includes:

[0116] The information acquisition module is used to acquire cargo transportation demand information (transportation origin, destination, expected transportation time, etc.) for each cargo in bulk logistics, as well as the preset transportation route network;

[0117] The route extraction module is used to extract the total transportation route (all routes that can reach the destination from the transportation start point, including multiple stage transportation routes and transfer nodes) from the preset transportation route network based on the cargo transportation demand information.

[0118] The optimization extraction module is used to obtain the preset optimization objectives (lowest cost, shortest time) from the transportation demand information. It selects the total transportation path that satisfies the most preset optimization objectives from multiple transportation paths as the desired transportation path (if there is no total transportation path that satisfies the most preset optimization objectives, the preset weight of the objectives shall be used as the standard) and obtains the desired transportation path information.

[0119] The working principle of the above technical solution is as follows: The system first collects detailed cargo transportation demand information for each shipment, including but not limited to key information such as the origin, destination, and expected transportation time. This information forms the basis for subsequent route planning and optimization. The system also loads a pre-defined transportation route network, which includes various modes of transportation (such as road, rail, waterway, and air) and their connecting points (transfer nodes), constituting a set of potential cargo transportation routes. Based on the origin and destination of the cargo transportation, the system uses graph theory or path search algorithms (such as Dijkstra's algorithm, A* algorithm, etc.) to search for all possible total transportation routes in the pre-defined transportation route network. These routes start from the origin, pass through a series of transfer nodes, and finally reach the destination. Each total transportation route is further subdivided into multiple stage transportation routes, each stage may involve different modes of transportation and different transfer nodes. This subdivision facilitates subsequent detailed analysis and optimization of the routes.

[0120] The system analyzes the pre-defined optimization objectives from transportation demand information, such as lowest cost and shortest time. These objectives may be singular or a combination of multiple objectives weighted according to certain weights. The system evaluates the extracted multiple total transportation routes, calculating the performance of each route in meeting the pre-defined optimization objectives. If no single route can fully meet all optimization objectives, the system weighs the objectives according to their pre-defined weights and selects the route with the highest overall score as the desired transportation route. The system acquires and outputs detailed information about the desired transportation route, including transportation modes, transfer nodes, and estimated transportation time at each stage.

[0121] The technical benefits of the above solution are as follows: Through automated route search and optimization algorithms, the system quickly finds the optimal route to meet transportation needs, reducing the time and errors associated with manual planning and improving logistics efficiency. Considering cost factors among multiple optimization objectives, it can select the lowest-cost or most cost-effective transportation route, helping enterprises reduce logistics costs. When expected transportation time becomes the primary optimization objective, the system prioritizes the shortest route, ensuring timely delivery and improving customer satisfaction. The system supports combinations and weight adjustments of various optimization objectives, allowing for flexible configuration based on different transportation needs and business scenarios to meet the personalized needs of different customers. Through refined route planning and stage division, it helps enterprises better utilize transportation resources (such as vehicles, ships, and aircraft), reducing empty runs and waiting time, and improving resource utilization. The expected transportation route information output by the system provides enterprises with rich data support, aiding in logistics decision analysis and optimizing supply chain management processes.

[0122] In one embodiment of the present invention, the comprehensive evaluation module includes:

[0123] The segmentation module is used to obtain the transit nodes of the desired transportation route based on the desired transportation route information, and to obtain multiple stages of transportation routes based on the transit nodes.

[0124] The indicator acquisition module is used to acquire multiple types of preset route evaluation indicators (transportation distance, transportation time, transportation cost, and transportation weather, etc.), and to collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, thereby obtaining multiple types of indicator data for each stage of the transportation route.

[0125] The anomaly comparison module is used to compare the data of each type of indicator with the corresponding indicator threshold to obtain the indicator comparison results;

[0126] The anomaly detection module is used to obtain the number of abnormal indicator types in the stage transportation path based on the indicator comparison results, compare the number of abnormal indicator types with the preset indicator number threshold, and obtain the number of abnormal stage transportation based on the indicator number comparison results.

[0127] The phase evaluation module is used to comprehensively evaluate the phase transportation path based on the number of abnormal indicator types of the phase transportation path, and obtain the phase comprehensive evaluation result (if there are N abnormal indicator types of the phase transportation path, then the evaluation of the phase transportation path is level N abnormal, N=1-∞).

[0128] Obtain the phase comprehensive evaluation information of the phase transportation route, and calculate the phase comprehensive evaluation coefficient of each phase transportation route based on the phase comprehensive evaluation information;

[0129] The formula for calculating the comprehensive evaluation coefficient of the aforementioned stage is as follows:

[0130]

[0131] Among them, Z jd Here, is the phase-based comprehensive evaluation coefficient for the phased transportation route, o is the total number of preset route evaluation indicators, and h is... bsi h represents the actual collected data for the i-th preset path evaluation index. byi YB is the threshold value for the i-th preset path evaluation indicator, and J is the threshold value for the number of preset indicators. q h is the preset weight value for the stage transportation path. bsi -h byi When h is a positive number, let it be 1. bsi -h byi When the value is negative, set it to 0;

[0132] The route evaluation module is used to compare the number of transports in abnormal stages with a preset threshold for the number of stages to obtain the abnormality comparison results.

[0133] Based on the number of abnormal transportation stages in the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route (assuming that there are N abnormal transportation stages in the expected transportation route, then the evaluation of the expected transportation route is level N abnormal, N=1-∞).

[0134] Obtain the comprehensive evaluation information of the expected transportation routes, and calculate the expected comprehensive evaluation coefficient for each expected transportation route based on the comprehensive evaluation information.

[0135] The formula for calculating the expected comprehensive evaluation coefficient is as follows:

[0136]

[0137] Among them, Q zh Z represents the comprehensive evaluation coefficient of the desired transportation route, where c is the total number of transportation routes in the stage, and Z is the expected route. jda Z is the phase comprehensive evaluation coefficient for the transportation route in phase a. yda YZ is the preset stage coefficient threshold for the transportation path in stage a, and W is the preset threshold for the number of abnormal stages. q Z represents the preset weight value for the desired transportation route. jda -Z yda When Z is a positive number, let it be 1. jda -Z yda When the value is negative, set it to 0.

[0138] The working principle of the above technical solution is as follows: Based on the desired transportation route information, the system first identifies all transit nodes. Based on these transit nodes, the desired transportation route is divided into multiple stage transportation routes, each stage corresponding to the transportation process from one transit node to the next (or from the starting point to the first transit node, or from the last transit node to the destination point). The system presets various route evaluation indicators, such as transportation distance, transportation time, transportation cost, and transportation weather, which are used to comprehensively evaluate the performance of the stage transportation route. For each stage transportation route, the system collects actual data for these preset indicators. The collected indicator data is compared with the corresponding indicator thresholds to identify indicator types that exceed the normal range (i.e., abnormal). The number of abnormal indicator types in each stage transportation route is counted and compared with the preset indicator number threshold. If the number of abnormal indicators exceeds the threshold, the stage is considered an abnormal stage. Based on the number of abnormal indicator types, the stage transportation route is graded and evaluated. For example, if there are N abnormal indicator types, it is evaluated as level N abnormal (the larger N is, the higher the degree of abnormality). The number of abnormal transport stages in the entire expected transport route is counted and compared with a preset threshold for the number of stages. Based on the number of abnormal transport stages, the expected transport route is comprehensively evaluated. Similarly, a graded evaluation method is used; if there are N abnormal transport stages, the route is evaluated as level N abnormal.

[0139] The technical effects of the above solution are as follows: By pre-setting multiple path evaluation indicators and collecting actual data, a refined assessment of stage transportation paths is achieved, which helps to identify potential problems and risks. Through statistical analysis and comparison of the number of abnormal indicators, the system can automatically identify abnormal stage transportation paths, providing timely early warning information to enterprises and facilitating countermeasures. The use of a tiered evaluation method to comprehensively evaluate stage transportation paths and the overall expected transportation path makes the evaluation results more intuitive and easier to understand, helping enterprises formulate corresponding optimization strategies based on the evaluation results. The comprehensive evaluation results provide strong data support for enterprises, helping them to make more scientific and rational logistics decisions and improve the efficiency and level of logistics management. By identifying abnormal stage transportation paths, enterprises can optimize resource allocation, reduce investment in inefficient or high-risk paths, and improve resource utilization and overall efficiency. By timely identifying and resolving potential problems, delays and losses during transportation are reduced, improving customer satisfaction and loyalty.

[0140] In one embodiment of the present invention, the optimal acquisition module includes:

[0141] The route comparison module is used to obtain all comprehensive evaluation results of the desired transportation route and the total transportation route;

[0142] The comprehensive evaluation result of the expected transportation route is compared with the comprehensive evaluation results of the other total transportation routes in turn (compare pairwise; when the comprehensive evaluation result of the expected transportation route is less than the comprehensive evaluation result of the total transportation route, the total transportation route is replaced by the expected transportation route, and the comprehensive evaluation result of the replaced total transportation route is compared with the other total transportation routes. Obtaining the expected transportation route can reduce the number of replacements and save computational resources), and obtain multiple evaluation comparison results.

[0143] The route replacement module is used to replace routes based on the evaluation comparison results. It replaces the transportation routes with lower comprehensive evaluation results with the transportation routes with higher comprehensive evaluation results to obtain the replacement results.

[0144] Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

[0145] The working principle of the above technical solution is as follows: The system obtains the comprehensive evaluation results of the desired transportation path and all total transportation paths. These evaluation results are calculated through the previously described steps (including the division of transportation paths into stages, data collection, anomaly detection, and comprehensive evaluation). The system begins an iterative comparison process. In this process, the comprehensive evaluation result of the desired transportation path is compared sequentially with the comprehensive evaluation result of each of the remaining total transportation paths. The comparison adopts a pairwise comparison method, that is, only two paths are compared at a time. If the evaluation result of the desired transportation path is less than the evaluation result of a certain total transportation path, a replacement operation occurs, and the current desired transportation path is replaced with that total transportation path. The replaced "new" desired transportation path continues to be compared with the comprehensive evaluation results of other uncompared total transportation paths until all total transportation paths have been compared. During the comparison process, the replacement operation is guided by the comprehensive evaluation result (i.e., a quantitative representation of the comprehensive evaluation result). Transportation paths with larger comprehensive evaluation results (indicating better performance) are used to replace transportation paths with smaller comprehensive evaluation results. This replacement strategy aims to gradually optimize the desired transportation path while minimizing the number of replacements to save computational resources and time. After the above comparison and replacement process, the system finds the transportation path corresponding to the final replacement result among all replacement results, and this path is determined as the optimal expected path.

[0146] The technical effects of the above solution are as follows: Through iterative comparison and replacement processes, the system can gradually approach and find the optimal desired transportation route, thereby improving the efficiency of logistics route optimization. It reduces unnecessary computation and resource consumption. Through gradual replacement and comparison, the system can achieve the optimization goal while minimizing the number of replacements and computational load. The comparison and replacement strategy based on comprehensive evaluation results makes the decision-making process more scientific and reasonable. The system can objectively evaluate the advantages and disadvantages of each route and make the optimal choice accordingly. By optimizing the desired transportation route, transportation time is shortened, costs are reduced, and the reliability and safety of transportation are improved, thus contributing to increased customer satisfaction. During the optimization process, the system can identify and avoid potential risk points (such as abnormal transportation routes), reducing uncertainty and risk in the transportation process. This method has high flexibility and adaptability, and can be customized and optimized according to different transportation needs and business scenarios to meet the personalized needs of different enterprises.

[0147] In one embodiment of the present invention, the path update module includes:

[0148] The stage comparison module is used to obtain multiple stage transportation paths of the optimal expected path, and compare the stage comprehensive evaluation result of each stage transportation path with the preset anomaly evaluation threshold to obtain the stage path comparison result.

[0149] The stage replacement module is used to mark abnormal transportation paths based on the stage path comparison results and obtain abnormal transportation paths.

[0150] Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

[0151] The formula for calculating the path similarity is:

[0152]

[0153] Where LS represents path similarity, p represents the number of path similarity metrics, and S us S represents the actual data for the u-th indicator. uy The preset data for the u-th indicator includes path length, preset transport weight, and transport time.

[0154] The working principle of the above technical solution is as follows: The optimal desired route is broken down into multiple stage transportation routes. This is based on transit nodes or other logical breakpoints within the route. A comprehensive evaluation is performed on each stage of the transportation route to obtain its stage comprehensive evaluation result. These results reflect the overall performance of that stage in terms of transportation efficiency, cost, and risk. The stage comprehensive evaluation result of each transportation route is compared with a preset anomaly evaluation threshold. If the evaluation result of a certain stage exceeds the threshold (i.e., it indicates that the stage is abnormal), then that stage is marked as an abnormal transportation route. For each transportation route marked as abnormal, the system needs to find the normal transportation route with the highest similarity. This typically involves comparing and matching various characteristics of the transportation route (such as origin, destination, waypoints, transportation mode, road conditions, etc.). The found normal transportation route is used to replace the abnormal transportation route, generating a new replacement route. This replacement process needs to ensure that the replaced route is logically coherent and meets actual transportation needs. The replaced routes are then recombined into the updated desired route. At this point, the system needs to check again whether there are still abnormal stages in the updated route. If an anomaly exists, repeat the above anomaly detection, replacement, and path update process until the updated expected path no longer contains any abnormal transport paths.

[0155] The technical effects of the above solution are as follows: By eliminating abnormal stages in the transportation route, efficiency losses caused by transportation interruptions, delays, or high costs are reduced, thereby improving overall transportation efficiency. Replacing abnormal routes with lower-cost normal routes helps reduce transportation costs and improve the company's economic benefits. Transportation risks caused by route abnormalities are reduced, improving the reliability and stability of transportation. By providing better transportation routes and more reliable transportation services, customer satisfaction and loyalty are enhanced. This process can be achieved through automated and intelligent systems, reducing human intervention and errors, and improving the accuracy and efficiency of decision-making. The system can flexibly adjust and optimize transportation routes according to actual conditions and changes in transportation demand, ensuring a smooth and efficient transportation process.

[0156] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for optimizing the connection and transition of bulk logistics in multimodal transport, characterized in that, The method includes: S1. Obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, and obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, thereby obtaining the desired transportation route information. Wherein, S1 includes: Obtain cargo transportation demand information and preset transportation route network for each item in bulk logistics; The total transportation route is extracted from the preset transportation route network based on the cargo transportation demand information. Obtain the preset optimization targets from the transportation demand information, select the total transportation path that satisfies the most preset optimization targets from multiple transportation paths as the desired transportation path, and obtain the desired transportation path information; S2. Obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. Collect and compare the route evaluation indicators for each type of stage transportation route, and then conduct a comprehensive evaluation of the stage transportation route and the expected transportation route. Obtain the phase comprehensive evaluation information of the phase transportation route, and calculate the phase comprehensive evaluation coefficient of each phase transportation route based on the phase comprehensive evaluation information; Obtain the comprehensive evaluation information of the expected transportation routes, and calculate the expected comprehensive evaluation coefficient for each expected transportation route based on the comprehensive evaluation information. S3. Compare the comprehensive evaluation results of the transportation routes to obtain the evaluation comparison results, replace the routes according to the evaluation comparison results to obtain the replacement results, and obtain the optimal expected route according to the replacement results. S4. Perform anomaly comparison on the stage transportation path to obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and then obtain the updated expected path. Wherein, S4 includes: The optimal expected path is obtained by acquiring multiple stages of transportation paths, and the comprehensive evaluation result of each stage of transportation path is compared with the preset anomaly evaluation threshold to obtain the stage path comparison result. Based on the comparison results of the aforementioned stage paths, abnormal transportation paths are marked to obtain abnormal transportation paths; Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

2. The method for optimizing the connection and transfer of bulk logistics in multimodal transport according to claim 1, characterized in that, S2 includes: Based on the expected transportation route information, obtain the transit nodes of the expected transportation route, and based on the transit nodes, obtain multiple stages of transportation routes; Obtain multiple types of preset route evaluation indicators, collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, and obtain multiple types of indicator data for each stage of the transportation route. The data for each category of indicators is compared with the corresponding indicator threshold to obtain the indicator comparison results; The number of abnormal indicator types in the stage transportation path is obtained based on the indicator comparison results. The number of abnormal indicator types is compared with the preset indicator number threshold to obtain the indicator number comparison results and obtain the number of abnormal stage transportation. Based on the number of abnormal indicators of the transportation path in a stage, a comprehensive evaluation of the transportation path in that stage is conducted to obtain the stage comprehensive evaluation result. The number of transports in abnormal stages is compared with a preset threshold for the number of stages to obtain the abnormality comparison results; Based on the number of abnormal stages of transportation along the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route.

3. The method for optimizing the connection and transfer of bulk logistics in multimodal transport according to claim 1, characterized in that, S3 includes: Obtain all comprehensive evaluation results for the desired transportation route and the total transportation route; The comprehensive evaluation results of the desired transportation route are compared with the comprehensive evaluation results of the other total transportation routes in turn to obtain multiple evaluation comparison results. Based on the evaluation and comparison results, route replacement is performed. The transportation route with the larger comprehensive evaluation result is used to replace the transportation route with the smaller comprehensive evaluation result to obtain the replacement result. Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

4. A bulk logistics multimodal transport conversion and connection optimization system, characterized in that, The system includes: The route planning module is used to obtain cargo transportation demand information and a preset transportation route network, extract multiple total transportation routes, obtain the desired transportation route from the multiple total transportation routes according to the preset optimization objective, and obtain the desired transportation route information. The path planning module includes: The information acquisition module is used to acquire cargo transportation demand information and preset transportation route network for each cargo in bulk logistics; The route extraction module is used to extract the total transportation route from the preset transportation route network based on the cargo transportation demand information. The optimization extraction module is used to obtain the preset optimization targets in the transportation demand information, obtain the total transportation path that satisfies the most preset optimization targets among multiple transportation paths as the desired transportation path, and obtain the desired transportation path information. The comprehensive evaluation module is used to obtain transit nodes based on the expected transportation route information, and then obtain the stage transportation route. It collects and compares the path evaluation indicators of each type for the stage transportation route, and then conducts a comprehensive evaluation of the stage transportation route and the expected transportation route. Obtain the phase comprehensive evaluation information of the phase transportation route, and calculate the phase comprehensive evaluation coefficient of each phase transportation route based on the phase comprehensive evaluation information; Obtain the comprehensive evaluation information of the expected transportation routes, and calculate the expected comprehensive evaluation coefficient for each expected transportation route based on the comprehensive evaluation information. The optimal acquisition module is used to compare the comprehensive evaluation results of the transportation routes, obtain the evaluation comparison results, perform route replacement based on the evaluation comparison results, obtain the replacement results, and obtain the optimal expected route based on the replacement results. The path update module is used to compare the stage transportation paths for anomalies, obtain abnormal transportation paths, obtain normal transportation paths for replacement based on path similarity, perform path replacement, and thus obtain the expected updated path. The path update module includes: The stage comparison module is used to obtain multiple stage transportation paths of the optimal expected path, and compare the stage comprehensive evaluation result of each stage transportation path with the preset anomaly evaluation threshold to obtain the stage path comparison result. The stage replacement module is used to mark abnormal transportation paths based on the stage path comparison results and obtain abnormal transportation paths. Obtain the normal transportation path with the highest path similarity to the abnormal transportation path, replace the abnormal transportation path with the normal transportation path to obtain the replacement path, generate an updated expected path, until there is no abnormal transportation path in the updated expected path.

5. The bulk logistics multimodal transport conversion and connection optimization system according to claim 4, characterized in that, The comprehensive evaluation module includes: The segmentation module is used to obtain the transit nodes of the desired transportation route based on the desired transportation route information, and to obtain multiple stages of transportation routes based on the transit nodes. The indicator acquisition module is used to acquire multiple types of preset route evaluation indicators, and to collect data on multiple types of preset route evaluation indicators for each stage of the transportation route, thereby obtaining multiple types of indicator data for each stage of the transportation route. The anomaly comparison module is used to compare the data of each type of indicator with the corresponding indicator threshold to obtain the indicator comparison results; The anomaly detection module is used to obtain the number of abnormal indicator types in the stage transportation path based on the indicator comparison results, compare the number of abnormal indicator types with the preset indicator number threshold, and obtain the number of abnormal stage transportation based on the indicator number comparison results. The phase evaluation module is used to comprehensively evaluate the phase transportation path based on the number of abnormal indicators of the phase transportation path and obtain the phase comprehensive evaluation result. The route evaluation module is used to compare the number of transports in abnormal stages with a preset threshold for the number of stages to obtain the abnormality comparison results. Based on the number of abnormal stages of transportation along the expected transportation route, a comprehensive evaluation of the expected transportation route is conducted to obtain the comprehensive evaluation result of the route.

6. The bulk logistics multimodal transport conversion and connection optimization system according to claim 4, characterized in that, The optimal acquisition module includes: The route comparison module is used to obtain all comprehensive evaluation results of the desired transportation route and the total transportation route; The comprehensive evaluation results of the desired transportation route are compared with the comprehensive evaluation results of the other total transportation routes in turn to obtain multiple evaluation comparison results. The route replacement module is used to replace routes based on the evaluation comparison results. It replaces the transportation routes with lower comprehensive evaluation results with the transportation routes with higher comprehensive evaluation results to obtain the replacement results. Obtain the transportation path corresponding to the final replacement result from all replacement results, and use it as the optimal expected path.

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