Logistics robot distribution time prediction method and system

Abstract

The invention provides a logistics robot distribution time prediction method and system, and the method comprises the steps: collecting the attributes of all to-be-distributed packages and the demands of consignees corresponding to the packages, determining the priorities of the packages, and arranging the distribution sequence of the packages according to the priorities of the packages, and obtaining a package queue. And according to the position of the parcel in the parcel queue, in combination with the distribution capability of the logistics robot, determining a time window for the logistics robot to distribute the parcel. And when the time window is reached, collecting parameters reflecting the road condition of the distribution area, and determining the path with the shortest passing time as the distribution path of the logistics robot. And in the distribution process, the road condition of the distribution path and the current position of the logistics robot are collected in real time, the time required by the logistics robot to reach the receiving position of the parcel from the current position is calculated, and the distribution moment of the parcel is updated to a consignee in real time. The condition that the user can obtain the cargo state in real time is ensured; and the delivery timeliness of the goods with special attributes is ensured.

Description

technical field [0001] The present application relates to the technical field of robot delivery, in particular to a method and system for predicting delivery time of a logistics robot. Background technique [0002] Express delivery and takeaway have become an inseparable part of people's daily work and life, and have penetrated more and more widely into life scenes. At the same time, the rapid growth of the business of express service companies across the country means that there are a large number of couriers and takeaways who come in and out of a large closed office building every day, and they have greater mobility. The frequent entry and exit of such personnel will inevitably cause hidden dangers to the safety of internal personnel and property in the office building, especially during the epidemic period, it will also increase the probability of germ transmission. At the same time, it also increases the management burden of the property management on such personnel. I...

AI Technical Summary

Problems solved by technology

[0003] However, due to the large number of express delivery and takeaway packages in closed industrial parks or office buildings, after the packages arrive at the storage area of ​​the closed scene, the intelligent delivery robot cannot guarantee the real-time delivery of the packages, so that the user is in the storage area when the package is in the storage area. It is impossible to accurately obtain the expected delivery time of the package in the interval of the actual receiving location, which is very inconvenient for the user's time arrangement; in addition, there are situations where urgent delivery is required for some goods with special attributes, such as fresh food, and now Some intelligent delivery robots do not have the function of adjusting the delivery order according to the actual needs of users or the special attributes of packages

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