Autonomous Medical Service Aircraft Landing With Safety Status Checks
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Solution Overview
Problem
Current vehicle-related services, particularly in the aircraft sector, rely heavily on human operation, leading to increased operational costs and requirements, necessitating a more efficient and autonomous system for providing vehicle-based services.
Innovation Solution
A method and system for autonomous vehicle operation that includes receiving service requests, determining mission parameters, selecting and dispatching vehicles, and controlling their flight or travel, enabling autonomous aircraft or vehicle systems to perform services such as emergency response, transportation, and delivery, using a combination of on-board and remote control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators are used to operate vehicles, then service quality and control reliability are maintained, but operational costs increase and system complexity increases
Solution Approach 1:
The patent replaces human operators with autonomous control systems that use sensors, processors, and actuators to perform vehicle operations. The mechanical and cognitive functions previously performed by humans are substituted with electronic control systems, communication modules, and automated decision-making algorithms, thereby maintaining control reliability while eliminating the need for human operators.
Solution Approach 2:
The vehicle system performs self-monitoring, self-diagnosis, and self-control through integrated sensors and autonomous control algorithms. The system independently detects its own status, identifies issues, and executes corrective actions without human intervention, enabling the vehicle to serve itself and reducing dependency on external human operators.
2Productivity
If human operators are used to operate vehicles, then service quality is maintained, but operational costs increase
Solution Approach 1:
The patent replaces human operators with autonomous control systems that use sensors, processors, and actuators to perform vehicle operations. The mechanical and cognitive functions previously performed by humans are substituted with electronic control systems, communication modules, and automated decision-making algorithms, thereby maintaining control reliability while eliminating the need for human operators.
Solution Approach 2:
The vehicle system performs self-monitoring, self-diagnosis, and self-control through integrated sensors and autonomous control algorithms. The system independently detects its own status, identifies issues, and executes corrective actions without human intervention, enabling the vehicle to serve itself and reducing dependency on external human operators.
3Productivity
If autonomous control systems are implemented, then operational costs decrease and productivity increases, but communication reliability challenges arise due to potential failures and latency
Solution Approach 1:
The patent implements redundant communication pathways and backup systems that are prepared in advance to handle potential failures. Multiple communication channels (e.g., satellite, terrestrial, mesh networks) are established beforehand, and the system can automatically switch between them if one fails, cushioning against communication reliability issues before they impact service delivery.
Solution Approach 2:
The autonomous control system continuously monitors communication channel status and receives feedback on signal quality, latency, and connectivity. Based on this real-time feedback, the system dynamically adjusts communication strategies, selects optimal pathways, and retransmits critical data to ensure reliable operation despite communication challenges.
Data Source
AI summary
A method for providing medical services to a patient, including: receiving a medical service request associated with a patient location; selecting an aircraft, located at an initial location, from a plurality of aircraft based on the patient location and the initial location; determining a flight plan for flying the aircraft to a region containing the patient location; at a sensor of the aircraft, sampling a first set of flight data; at a processor of the aircraft, autonomously controlling the aircraft to fly based on the flight plan and the set of flight data; selecting a landing location within the region; and landing the aircraft at the landing location, including: sampling a set of landing location data; determining a safety status of the landing location based on the set of landing location data; outputting a landing warning observable at the landing location; at the sensor, sampling a second set of flight data; and in response to determining the safety status and outputting the landing warning, autonomously controlling the aircraft to land at the landing location based on the second set of flight data.