UAV Delivery Feasibility Using Multi-Order Weight and Range Checks
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Solution Overview
Problem
Existing systems fail to efficiently determine whether an unmanned aerial vehicle (UAV) can load and deliver multiple orders based on its maximum loadable weight, total weight, and flight capabilities, leading to inefficiencies in article delivery.
Innovation Solution
An information processing device that calculates the total weight and volume of articles, compares it with the UAV's loadable capacity and flight distance, and determines delivery feasibility, allowing for efficient loading and delivery planning, including divided delivery options if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple orders are loaded on the unmanned aerial vehicle for delivery in one flight, then delivery efficiency is improved, but it becomes difficult to determine whether the total weight exceeds the maximum loadable weight
Solution Approach 1:
The system performs preliminary weight calculations and delivery feasibility determinations before the actual delivery flight. By calculating the total weight of multiple orders and comparing it with the maximum loadable weight in advance, the system determines whether delivery is possible before taking off, avoiding mid-flight weight issues and improving overall delivery efficiency
Solution Approach 2:
The system provides feedback by notifying users of the delivery determination results (whether multiple orders can be delivered in one flight). This feedback mechanism allows operators to adjust their order consolidation decisions based on the calculated feasibility, enabling efficient batch delivery when possible and alternative arrangements when weight constraints are exceeded
2Productivity
If the unmanned aerial vehicle carries multiple orders with different delivery destinations, then delivery efficiency is improved, but the risk of article quality loss due to weather and detachment methods increases
Solution Approach 1:
The system applies different protection strategies to different orders based on their specific characteristics and delivery requirements. By evaluating each order's delivery destination, weather conditions, and article attributes separately, the system can determine optimal delivery feasibility for each order while consolidating multiple deliveries when feasible, thus improving efficiency while managing quality risks through localized assessment
Solution Approach 2:
The system performs preliminary assessments of weather conditions and detachment method risks for each order before consolidation. By evaluating potential quality loss factors in advance and determining delivery feasibility beforehand, the system can avoid consolidating orders that would be vulnerable to weather or detachment issues, thereby maintaining article quality while still achieving efficient batch delivery when conditions permit
Data Source
AI summary
The management server 2 calculates a total weight of a plurality of articles loaded on the UAV 1 on the basis of weights of the articles included in each of a plurality of orders, and determines whether or not the unmanned aerial vehicle is capable of loading and delivering the articles included in each of the plurality of orders by comparing a loadable weight of the UAV 1 with the calculated total weight.