Underground Drone Routing Using Interior Passageway Map Data
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Solution Overview
Problem
The increasing use of unmanned aerial vehicles (UAVs) or drones has led to concerns about safety risks, noise pollution, and privacy issues due to their operation in populated areas, prompting the need for alternative routes that minimize these impacts.
Innovation Solution
A system that queries digital map data for underground and/or interior passageways to generate routes for drones, utilizing location data for entry and exit points, and combines this with real-time data to determine safe and available paths, avoiding collisions with other traffic or obstructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drones operate in above ground airspace, then drone delivery service can be provided, but safety risks and noise pollution increase
Solution Approach 1:
The patent transitions drone operation from the traditional aerial dimension to the underground dimension by routing drones through subsurface passageways, tunnels, and corridors. This dimensional shift allows drones to deliver packages while avoiding populated above-ground areas, thereby eliminating noise pollution and reducing safety risks to public and property.
2Adaptability or versatility
If drones operate in populated areas, then delivery coverage is expanded, but privacy concerns and safety risks increase
Solution Approach 1:
By utilizing underground passageways, the system maintains broad delivery coverage while operating in a dimension that does not intrude on above-ground privacy. Drones can access buildings and locations through subsurface routes without flying over or near occupied spaces, thereby eliminating privacy concerns while preserving safety.
3Ease of operation
If conventional aerial routes are used, then drone operation is simple, but safety risks and noise pollution occur
Solution Approach 1:
The system performs preliminary actions by pre-mapping underground passageways, pre-planning delivery routes through subsurface corridors, and pre-identifying entry/exit points before drone deployment. This advance preparation maintains operational simplicity despite the complex underground environment, allowing drones to follow predetermined safe routes without real-time navigation challenges.
Data Source
AI summary
An approach is provided for creating underground drone routes. The approach, for example, involves querying digital map data for at least one underground and/or interior passageway to reach a destination of the drone. The digital map data includes location data for a plurality of entry points, a plurality of exit points, or a combination thereof to the network of underground and/or interior passageways. The approach also involves generating a route to the destination via the at least one underground passageway based on the location data.