Logistics unmanned aerial vehicle return scheduling method with rescue function

Abstract

The invention relates to the field of logistics unmanned aerial vehicles, and provides a logistics unmanned aerial vehicle homeward voyage scheduling method with a rescue function, which comprises a scheduling center scheduling process and an unmanned aerial vehicle homeward voyage rescue process. In the dispatching process of the dispatching center, the unmanned aerial vehicles which deliver cargos are divided into rescue unmanned aerial vehicles and to-be-rescued unmanned aerial vehicles by comparing the remaining electric quantity with the electric quantity required for returning to the logistics center, the remaining electric quantity continues to be compared with the electric quantity required for executing the rescue task, and different types of return instructions are sent to all the unmanned aerial vehicles. In the rescue return process of the unmanned aerial vehicle, the unmanned aerial vehicle receives the instruction from the dispatching center and executes corresponding operation according to the instruction content. According to the invention, the unmanned aerial vehicle which deliver cargos is classified and a route is planned again; the method comprises the steps that the rescue unmanned aerial vehicle takes the to-be-rescued unmanned aerial vehicle as goods to be transported back to a logistics center, and the to-be-rescued unmanned aerial vehicle returns to a close specified post, so that no-load return of the unmanned aerial vehicle can be effectively avoided, the utilization rate of the unmanned aerial vehicle is improved, and completion of a goods transportation task is accelerated.

Description

technical field [0001] The invention relates to the field of logistics drones, in particular to a return dispatching method for logistics drones with a rescue function. Background technique [0002] With the rapid development of e-commerce, it has brought great challenges to the traditional logistics industry. The traditional distribution method relies on labor, and its delivery efficiency is low and the cost is high, which is far from meeting the huge logistics demand now. In order to deal with the problems existing in the logistics industry, effectively improve the distribution efficiency and the user's service quality, and reduce the cost of the logistics system, the application of drones in the logistics field is considered. [0003] Compared with traditional distribution methods, UAV distribution is flexible and low in cost. Secondly, the use of drone distribution brings logistics distribution from the ground to the air, effectively solving the problem of increased de...

AI Technical Summary

Problems solved by technology

[0004] However, battery life is always an important issue that plagues the application of drones in the field of logistics

When the UAV performs a transportation task, it needs to set the flight route according to the remaining power. If the power required by the flight task is not enough to complete the round-trip flight, the UAV will not be arranged to perform the flight task, because if the UAV’s If the remaining power is not enough to ensure a safe return, it needs to be rescued, and the cost of rescue is high

After the UAV with sufficient power has completed the transportation task, no matter how much power is left, it will return to the logistics center empty-loaded. The empty-load return reduces the utilization rate of the UAV and causes a waste of resources.

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