Straw vehicle collaborative scheduling system based on big data

Abstract

The invention discloses a straw vehicle collaborative scheduling system based on big data, and relates to the technical field of warehouse logistics, and the straw vehicle collaborative scheduling system comprises a scheduling decision module, a driving analysis module and an early warning analysis module. The scheduling decision-making module is used for obtaining logistics demands, straw transportation vehicle data and customer labels and substituting the logistics demands, the straw transportation vehicle data and the customer labels into a scheduling decision-making model to generate standard scheduling parameters; the dispatching center is used for distributing corresponding logistics orders according to the standard dispatching parameters, generating dispatching event historical data and feeding back the dispatching event historical data to the dispatching decision module, and continuously training and continuously improving customer labels and the dispatching decision model to achieve the optimal dispatching effect; the driving analysis module is used for acquiring the corresponding optimal distribution path information and analyzing the deviation value of the dispatched vehicle in combination with the real-time pose information of the dispatched vehicle, and early warning is performed in time once the dispatched vehicle deviates, so that the distribution efficiency is effectively improved; the early warning analysis module is used for carrying out early warning coefficient analysis on the driver according to the vehicle deviation information, timely alternation is carried out, and the driving safety and the distribution efficiency are effectively improved.

Description

technical field [0001] The invention relates to the technical field of warehousing and logistics, in particular to a straw vehicle coordinated scheduling system based on big data. Background technique [0002] With the advancement of Internet technology, the logistics industry has developed rapidly. Warehousing logistics mainly includes cargo handling, distribution, storage, management, etc. It is an important part of warehousing logistics that the goods can be quickly and accurately distributed to the stacking point or the corresponding warehouse. Warehousing logistics distribution mainly involves vehicle scheduling, and there are many factors that affect the efficiency of vehicle distribution, such as distribution paths, warehouse traffic, and distribution vehicles. [0003] At present, in the distribution process of warehousing and logistics, the distribution route or vehicle is usually selected manually, but the route or vehicle cannot intelligently identify the exact n...

AI Technical Summary

Problems solved by technology

[0003] At present, in the distribution process of warehousing logistics, the distribution route or distribution vehicle is usually selected artificially, and the manual selection of route or distribution vehicle cannot intelligently identify the accurate needs of users and match the most suitable one among many resources, and the distribution efficiency is not high; based on For the above deficiencies, the present invention provides a collaborative scheduling system for straw vehicles based on big data

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