Unmanned Flying Object Flight Controller Battery and Time Zone Compliance
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Solution Overview
Problem
Current unmanned flying objects lack efficient methods to determine whether they can arrive at a destination within a permitted time zone and battery constraints, leading to potential unauthorized flights after the allowed time, and do not account for charging availability along their routes.
Innovation Solution
The unmanned flying object includes a controller that assesses the remaining battery life and flight route to determine if it can reach the next point within the allowed time zone, and if not, it either charges at a nearby point or adjusts its route to ensure arrival before the time limit, utilizing a storage for charge availability information and a position measurer to optimize navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the unmanned flying object continues flying after battery depletion or time zone end, then the flight duration is extended, but it violates permitted flight time regulations and may cause unauthorized flights
Solution Approach 1:
The controller performs preliminary assessment before departure to calculate whether the unmanned flying object can arrive at the next way point before the end time of the permitted flight time zone. This advance calculation prevents unauthorized flights by ensuring compliance is verified before the flight actually begins, rather than reacting after the fact.
2Loss of time
If the unmanned flying object selects a direct route to destination, then the flight time is reduced, but it may not arrive before the end time of permitted flight zone
Solution Approach 1:
The controller dynamically adjusts the flight route based on real-time calculations. It determines whether to fly directly to the destination or to intermediate way points by comparing the calculated arrival time against the end time of the permitted flight zone. This dynamic routing ensures the unmanned flying object arrives before the time limit while optimizing the flight path.
3Device complexity
If the unmanned flying object does not check charging availability, then the navigation system is simpler, but it cannot plan routes considering battery constraints
Solution Approach 1:
The system performs preliminary checks of charging availability at way points before finalizing the flight route. The controller acquires information about whether charging devices are available at candidate way points and incorporates this information into the route selection process, ensuring the unmanned flying object can recharge if needed before battery depletion.
4Productivity
If multiple unmanned flying objects depart simultaneously, then the overall productivity increases, but collision risk between objects increases
Solution Approach 1:
The controller determines expected arrival times at way points and uses this feedback information to manage departures of multiple unmanned flying objects. By monitoring and coordinating arrival times, the system can schedule departures to avoid collisions while maintaining high productivity, ensuring objects do not occupy the same space at the same time.
Data Source
AI summary
An unmanned flying object includes a battery remaining quantity acquirer that acquires a remaining quantity of a battery; an arrival decider that, when the unmanned flying object starts traveling from a first point at which the unmanned flying object is currently located to a second point through which the unmanned flying object passes next to the first point, decides whether the unmanned flying object can arrive at the second point, on the basis of an end time of a time zone in which the unmanned flying object is permitted to fly and the remaining quantity of the battery; and a flight controller that, if it is decided that the unmanned flying object can arrive at the second point, causes the unmanned flying object to depart for the second point.