UAV Selection for Temperature-Controlled Delivery Battery Matching
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Solution Overview
Problem
Aerial transport service providers face challenges in delivering temperature-sensitive items using unmanned aerial vehicles (UAVs) due to the high energy consumption of temperature control units, which can deplete UAV batteries before delivery, leading to potential failures in maintaining the required temperature range during transport.
Innovation Solution
A method and system for selecting the most suitable UAV from a fleet based on the required energy for temperature control and remaining battery levels to ensure successful delivery of temperature-sensitive items, involving the calculation of energy requirements for each available UAV and assignment of the transport task to the UAV with sufficient energy reserves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a temperature control unit is added to the UAV to maintain temperature during delivery, then the temperature-sensitive items can be delivered within the required temperature range, but the energy consumption increases and may deplete the battery before delivery
Solution Approach 1:
The system performs preliminary assessment of battery energy levels and temperature control requirements before assigning delivery tasks. The server calculates the energy consumption for temperature control and compares it with the UAV's remaining battery energy, selecting a UAV that has sufficient energy reserves before the delivery mission begins
Solution Approach 2:
The system continuously monitors the UAV's battery energy level and temperature control unit power consumption during the delivery mission. The server receives real-time data about energy consumption and adjusts task assignment decisions based on this feedback, ensuring the UAV maintains enough energy to complete the delivery while maintaining temperature
2Temperature
If the UAV battery energy is insufficient to power the temperature control unit throughout the delivery, then the temperature control can be maintained, but the delivery mission may fail due to battery depletion
Solution Approach 1:
Before assigning a delivery task involving temperature-sensitive items, the server performs a preliminary feasibility assessment by calculating the energy required for temperature control and comparing it with the candidate UAV's remaining battery energy. Only UAVs with sufficient energy reserves are selected, preventing battery depletion before delivery completion
Solution Approach 2:
The system dynamically adjusts task assignment decisions based on real-time UAV battery status and temperature control requirements. The server continuously evaluates whether the UAV has sufficient energy to complete the delivery while maintaining temperature, making adaptive decisions rather than using fixed rules
3Productivity
If a fleet of UAVs is used to deliver temperature-sensitive items, then more delivery capacity is available, but it becomes difficult to select the most suitable UAV with sufficient energy reserves
Solution Approach 1:
The server establishes a feedback mechanism that continuously collects data on each UAV's battery energy level, location, and availability. When a temperature-sensitive delivery request comes in, the server queries real-time status of all UAVs in the fleet and uses this feedback to identify suitable candidates
Solution Approach 2:
Each UAV periodically reports its own battery status and operational state to the server. The UAVs essentially self-report their capability to undertake temperature-controlled deliveries, reducing the burden on the server to actively monitor each vehicle and simplifying the selection process
Data Source
Figure 1A
Figure 1B~1C
Figure 1D
AI summary
Disclosed herein are methods and systems that can help an aerial transport service provider (ATSP) select an unmanned vehicle (UV) to deliver a temperature-sensitive item. In accordance with example embodiments, the ATSP system can generate a transport task to fulfill a request for delivery of the temperature-sensitive item, where the transport task involves delivering the item while maintaining a temperature of the item within a preferred temperature range. The system can calculate an amount of required energy to perform the transport task for each available UV of the fleet of UVs. Further, based on (i) the amount of required energy for each available UV, and (ii) a respective remaining battery energy level for each available UV, the ATSP system can select a first UV to perform the task. Yet further, the ATSP system can assign the transport task to the first UV.