A logistics distribution system based on population distribution

Abstract

A logistics distribution system based on population distribution, including a base station and a server, the base station is connected to the server; the base station includes a photographing device, a processing module, an express sending and receiving device, and a communication module, and the photographing device is used to photograph real-time population Distribution heat map, the processing module draws capacity nodes, and makes level judgments on capacity nodes, the express delivery transceiver is used for the storage and delivery of express mail, and the communication module is used for receiving and sending information; the server includes computing unit, an optimization selection unit, a storage unit and a communication unit, the calculation unit is used to calculate the express delivery route; the optimization selection unit selects the delivery optimization route in the delivery route; the storage unit is used to store the received The real-time information sent by the base station, the delivery route, and the delivery optimization route; the communication unit is used to receive the real-time information sent by the base station and send a dispatch order.

Description

technical field [0001] The present invention relates to a logistics distribution system, more specifically, to a logistics distribution system based on real-time population distribution. Background technique [0002] With the rapid development of Internet-based e-commerce and O2O industry, people have higher and higher requirements for the timeliness of logistics distribution. Traditional logistics distribution is completed by full-time express personnel of logistics companies. This distribution method is difficult to respond to numerous Consumer service needs. In response to the current shortage of logistics and distribution resources, an urban crowdsourcing distribution model has emerged. Urban crowdsourcing distribution transfers the distribution tasks originally undertaken by the full-time couriers of the logistics company to the public outside the enterprise to complete in a free and voluntary manner. This distribution model can effectively integrate the idle resources...

AI Technical Summary

Problems solved by technology

[0005] At present, there are many studies on the optimal scheduling of urban crowdsourcing delivery tasks under the dispatch mode. These studies either optimize task allocation to improve the task allocation rate to optimize task dispatch, or optimize the matching relationship between tasks and riders. Which riders are more suitable for the task, or to optimize the choice of riders, but some studies only assign tasks to the starting point of the task, ignoring the end of the task, the service time of the task merchant and the service time of the task customer, etc. Other factors that affect task allocation and rider distribution

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