Cargo balanced matching transportation model construction system and construction method

Abstract

The invention relates to the technical field of cargo balanced matching transportation, in particular to a cargo balanced matching transportation model construction system and method, and the system comprises the following modules: a map model library, a vehicle model library, a line model library, an algorithm module, a basic information library and a visualization module. The map model library is used for centrally storing various types of map model data in a specific position, supporting autonomous editing and modification, and enhancing the real-time performance and maintainability of the map model; the vehicle model library is used for collecting various three-dimensional vehicle models; the method has the beneficial effects that the method aims at visualizing detailed transportation routes, benefits, vehicle models and transportation parameters; through face-to-face analysis, systematization is improved, and user decision-making use experience is optimized; the transportation route is visually displayed, and the transportation route of the optimal target strategy is updated in real time; the visualization is high, the flexibility is improved, and the decision-making flexibility is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of balanced cargo matching transportation, and in particular to a system and method for constructing a balanced cargo matching transportation model. Background Art

[0002] In the logistics, transportation and warehousing industries, packing operations are the key bridge connecting all links of the supply chain. In order to enhance the competitiveness of the industry and solve the packing problems that have long plagued enterprises, the existing packing solutions are based on process integration and core algorithm research, combined with mobile Internet information technology, and through visualization, to provide efficient, accurate and regulatory-compliant intelligent solutions for packing operations.

[0003] First, we conducted an in-depth analysis of the traditional packing process and identified the inefficient links and bottlenecks. Through process reorganization and standardized operations, we optimized the operation steps, reduced unnecessary waiting and repetitive work, and significantly improved the packing efficiency. At the same time, we introduced advanced packing algorithms that can calculate the best loading plan based on the size, weight, shape and stability requirements of the goods, ensuring the safe transportation of goods and maximizing the use of space.

[0004] In terms of technology application, we fully utilize the advantages of mobile Internet information technology. By developing a dedicated mobile application, operators can receive packing instructions in real time, monitor the packing progress, and make adjustments when necessary. This instant information exchange and feedback mechanism greatly shortens the response time and improves the flexibility and adaptability of operations.

[0005] In addition, some solutions also develop a set of 3D simulation software to make the packing process intuitive and easy to understand. Operators can use the software to preview the placement of goods, stacking effect and space utilization, so as to better understand the packing plan and make fine adjustments when necessary. This visual tool not only improves the accuracy of the operation, but also enhances the trust of customers.

[0006] Data-driven is another major feature of the existing solution. By collecting and analyzing relevant data on packing operations, such as packing time, cargo damage rate, customer satisfaction, etc., we can continuously optimize the process and improve service quality. Through data analysis, we can discover potential problems and room for improvement, and achieve continuous self-improvement.

[0007] In summary, existing technologies focus more on packaging and are relatively lacking in the planning of overall transportation routes, especially in terms of visual transportation.

[0008] The invention patent with application number CN202210493447.1 discloses a method, device, electronic device and storage medium for optimizing container space. It specifically discloses obtaining container information, information on goods to be loaded, and cargo stacking requirements corresponding to different goods in the cargo information to be loaded, and generating a stacking plan. The plan can generate a complete stacking plan through pre-input stacking requirements and cargo information. The patent is mainly for packaging visualization, without visualization of the overall transportation route or visualization of revenue.

[0009] Therefore, the prior art has the following disadvantages:

[0010] 1. No line visualization;

[0011] Existing technologies are more focused on optimizing the calculation of packing, with less recommendations on routes;

[0012] 2. No revenue visualization;

[0013] 3. There are too many point-to-point calculations, which are not comprehensive and systematic enough;

[0014] The existing technology focuses more on the calculation of stacking requirements, and less on factors such as road height restrictions, weight restrictions, and cargo restrictions. Summary of the invention

[0015] In order to overcome the technical defects in the prior art and effectively solve the technical problems in the background technology, the present invention provides the following technical solutions:

[0016] A cargo balance matching transportation model construction system includes the following modules: a map model library, a vehicle model library, a route model library, an algorithm module, a basic information library and a visualization module;

[0017] The map model library is used to store various types of map model data in a specific location, support independent editing and modification, and enhance the real-time and maintainability of the map model;

[0018] The vehicle model library is used to collect various three-dimensional vehicle models;

[0019] The route model library is used to store a collection of various traffic route related models, data and information, including route models of various traffic modes, for the algorithm module to call;

[0020] The algorithm module is used to integrate all basic data inputs and output transportation routes according to the algorithm;

[0021] The basic information database is used for storage and configuration management of configuration basic information;

[0022] The visualization module is used to show the user the transportation plan and revenue parameters finally generated by the algorithm module.

[0023] As a preferred technical solution of the present invention, the three-dimensional vehicle models collected by the vehicle model library are three-dimensional vehicle models that are scaled down or made in proportion.

[0024] As a preferred technical solution of the present invention, the transportation modes in the route model library include ordinary roads and expressways.

[0025] As a preferred technical solution of the present invention, the basic information in the basic information database includes vehicles, roads and visualization modules.

[0026] A method for constructing a cargo balance matching transportation model construction system comprises the following steps:

[0027] S1: Input the transportation route, transportation vehicle information, transportation starting point, end point, add waypoints, and select the target algorithm optimization label;

[0028] S2: Generate multiple visual transportation recommendation plans based on the preset transportation route restrictions, and drag the waypoints on the map to modify and regenerate;

[0029] S3: The generated plan can display the transportation time, transportation distance and transportation revenue price indicators;

[0030] S4: Perform exhaustive operations based on the labels input by the user and recommend routes.

[0031] Compared with the prior art, the beneficial effects of the present invention are: the present invention aims to visualize detailed transportation routes, revenues, vehicle models and transportation parameters; face-to-face analysis, improve systematization, and optimize user decision-making experience; visualize transportation routes, and update the transportation routes of the best target strategies in real time; high visualization and improved flexibility enhance the flexibility of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The framework diagram of the system for constructing the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 The present invention provides a technical solution: a cargo balanced matching transportation model construction system, the specific contents are as follows:

[0035] 1. System composition:

[0036] Specifically, the system consists of six parts: (1) algorithm module, (2) map model library, (3) vehicle model library, (4) route model library, (5) visualization module, and (6) basic information library;

[0037] (1) Map model library:

[0038] The map model library stores various types of map model data in a specific location. These models include terrain models (such as 3D models of mountains and valleys, road height limits, road weight limits, road construction, etc.), support independent editing and modification, and enhance the real-time and maintainability of map models.

[0039] (2) Vehicle Model Library

[0040] It mainly collects various three-dimensional vehicle models that are scaled down or made in proportion, such as large, medium and small cargo box models. The models have a high degree of simulation and can be used for display, etc.

[0041] (3) Circuit model library

[0042] The traffic route model library is a collection of models, data and information related to various traffic routes. These traffic routes include route models of various modes of transportation such as ordinary roads and expressways, which are used by the algorithm module.

[0043] (4) Algorithm module

[0044] Integrate all basic data inputs and output transportation routes and some key indicators based on the algorithm.

[0045] (5) Basic Information Database

[0046] Used for saving and configuring some basic information such as vehicles, roads, visualization modules, etc.

[0047] (6) Visualization module

[0048] The user displays the final transportation plan and parameters such as revenue generated by the algorithm module.

[0049] 2. Deployment method

[0050] The cargo balanced transportation model construction system of the present invention is deployed in a network and displayed through a computer or an input and display terminal.

[0051] 3. Workflow

[0052] (1) Input the transportation route, transportation vehicle information, transportation starting point, end point, add transit points, and select the target algorithm optimization label (such as: shortest distance priority, shortest time priority, minimum freight priority, maximum load priority).

[0053] (2) Generate multiple visual transport recommendation plans based on preset transport route restrictions (map display, such as height limit and weight limit, where height limit affects loading order), and drag the waypoints on the map to modify and regenerate.

[0054] (3) The generated plan can reflect key indicators such as transportation time, transportation distance, and transportation revenue price.

[0055] (4) The core of the algorithm is to perform exhaustive operations based on the labels input by the user (distance priority, time priority, freight priority, maximum load priority), and then recommend three routes with relatively high rankings;

[0056] When using:

[0057] The visualization of the cargo balanced transportation model construction system of the present invention is similar to the visual search of navigation maps such as Baidu Maps and Amap, and the basic parameters can be edited and maintained, and the most suitable transportation route is generated in combination with multiple parameters set by the user, such as: profit priority, shorter distance priority, faster time priority, maximum load capacity and other conditions.

[0058] The method for constructing a balanced cargo transportation model of the present invention constructs a vehicle model based on a three-dimensional model; edits a transportation route model based on a map, including information such as height limit, weight limit, width limit, etc.; maps the two to form a transportation matching model; and performs mapping matching based on a map and multiple conditions.

[0059] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cargo balance matching transportation model construction system, characterized by: It includes the following modules: map model library, vehicle model library, route model library, algorithm module, basic information library and visualization module; The map model library is used to store various types of map model data in a specific location, support independent editing and modification, and enhance the real-time and maintainability of the map model; The vehicle model library is used to collect various three-dimensional vehicle models; The route model library is used to store a collection of various traffic route related models, data and information, including route models of various traffic modes, for the algorithm module to call; The algorithm module is used to integrate all basic data inputs and output transportation routes according to the algorithm; The basic information database is used for storage and configuration management of configuration basic information; The visualization module is used to show the user the transportation plan and revenue parameters finally generated by the algorithm module.

2. The cargo balanced matching transportation model construction system according to claim 1 is characterized by: The three-dimensional vehicle models collected in the vehicle model library are three-dimensional vehicle models that are scaled down or made in proportion.

3. The cargo balanced matching transportation model construction system according to claim 1 is characterized by: The transportation modes in the route model library include ordinary roads and expressways.

4. The cargo balanced matching transportation model construction system according to claim 1 is characterized by: The basic information in the basic information database includes vehicles, roads and visualization modules.

5. The method for constructing a cargo balanced matching transportation model construction system according to any one of claims 1 to 4, characterized in that: The following steps are involved: S1: Input the transportation route, transportation vehicle information, transportation starting point, end point, add waypoints, and select the target algorithm optimization label; S2: Generate multiple visual transportation recommendation plans based on the preset transportation route restrictions, and drag the waypoints on the map to modify and regenerate; S3: The generated plan can display the transportation time, transportation distance and transportation revenue price indicators; S4: Perform exhaustive operations based on the labels input by the user and recommend routes.

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