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Cold-chain transport vehicle intelligent scheduling method

A technology of intelligent scheduling and cold chain transportation, applied in the fields of vehicle management and logistics distribution, which can solve the problems of less simulation of distribution points, inability to adapt to multiple scenarios, complex environment of the whole process, and far-flung task scheduling.

Pending Publication Date: 2022-01-21
云车智途(重庆)科技有限公司
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  • Summary
  • Abstract
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  • Claims
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AI Technical Summary

Benefits of technology

The technology described in this patented system allows for quick generation of multiple distributions with different types of products at once based on their location or purpose. It also ensures that each type receives an appropriate amount of product before it reaches its destination. Additionally, there's automatic generating a schedule table from these assignments along certain paths instead of requiring human input during shipment. Overall, this approach provides efficient coordination among various components involved in delivering specific items like perishables and medical supplies.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of delivering goods through long distances without excessive labor expenses during refrigerated storage conditions. Current methods require human intervention which can be time-consuming and expensive.

Method used

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  • Cold-chain transport vehicle intelligent scheduling method

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Embodiment Construction

[0025] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0026] An intelligent dispatching platform for cold chain transport vehicles. The overall architecture of this platform includes four layers: application layer, business layer, data layer, and database layer, such as figure 1 with 2 shown;

[0027] The database layer includes the storage and management of map topology data. The database used is PostgreSQL spatial database, and the model acceleration tool used is Nvidia's GPU cluster.

[0028] The data layer implements data description, integrates and processes various data, and exchanges data to form data aggregation and subsets, and adopts the serialized big data format Apache Arrow to standardize the conversion of original data and interact between algorithm mode...

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Abstract

The invention relates to the field of vehicle management and logistics distribution, in particular to a cold-chain transport vehicle intelligent scheduling method, which comprises the following steps: 1, calculating a shortest distance, and forming a topological path network; 2, carrying out disassembly calculation according to the large order, and carrying out rule engine and single vehicle fitness value configuration; step 3, scheduling task intelligent calculation and task scheduling distribution; and 4, carrying out statistical analysis on salary settlement and vehicle use conditions. A map topology of transportation logistics in cold-chain logistics is formed and the shortest distance of a target point is calculated; under cold chain special transportation requirements and time constraints, intelligent scheduling and management of optimal cargo loading from a single distribution center or multiple distribution centers to multi-point targets, optimal use of multi-vehicle-type transportation vehicles, optimal transportation paths and optimal driver KPI are realized.

Description

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Claims

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Application Information

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Owner 云车智途(重庆)科技有限公司
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