Wireless Mode Switching via Multi-Sensor Flight Detection
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Solution Overview
Problem
Electronic devices with wireless communication capabilities often interfere with sensitive equipment, such as aerial vehicles, and require automatic switching between communication modes to prevent interference during takeoff and landing.
Innovation Solution
The device employs multiple sensors (accelerometers, pressure sensors, GPS) to autonomously detect takeoffs and landings, switching between normal and airplane modes to enable or disable wireless communications, ensuring minimal interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless communication is enabled in electronic devices, then communication capability is improved, but electromagnetic interference with aerial vehicles occurs
Solution Approach 1:
The system dynamically switches communication modes based on detected flight conditions. Sensors continuously monitor acceleration, pressure, and motion to determine when the device is on an aircraft, automatically enabling airplane mode to prevent interference while maintaining normal communication capability when appropriate.
Solution Approach 2:
The device autonomously detects its own operational context using onboard sensors and automatically adjusts its communication state without user intervention. The system self-determines when to enable airplane mode by analyzing sensor data patterns consistent with aircraft environments.
2Object-affected harmful factors
If airplane mode is automatically activated during flight, then electromagnetic interference is prevented, but false positives and negatives in mode switching occur
Solution Approach 1:
The system combines data from multiple independent sensors (accelerometer, pressure sensor, motion sensor) to make mode switching decisions. By requiring consensus among multiple sensors, the system reduces false positives and negatives, improving the reliability of flight detection and airplane mode activation.
Solution Approach 2:
The system continuously monitors sensor data and adjusts its state based on feedback from the environment. By analyzing patterns in acceleration, pressure changes, and motion data over time, the system can more accurately distinguish between actual flight conditions and other scenarios that might trigger false positives.
3Measurement precision
If multiple sensors are used to detect flight status, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses multiple sensors that serve both flight detection and other device functions. The accelerometer, pressure sensor, and motion sensor are integrated into the device's existing sensor suite, allowing them to contribute to flight detection without requiring dedicated additional hardware, thereby reducing the impact on device complexity.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving, from one of two or more sensors of a device that independently determine whether an aircraft takeoff has likely occurred, an indication that the aircraft takeoff has likely occurred; activating, based on receiving the indication that the aircraft takeoff has likely occurred, an airplane mode of the device; receiving, while the device is in the airplane mode and from one of two or more other sensors of the device that independently determine that an aircraft flight is likely not occurring, an indication that the aircraft flight is likely not occurring; and deactivating, based on receiving the indication that the aircraft flight is likely not occurring, the airplane mode of the device. The indication that the aircraft takeoff has likely occurred may include acceleration data indicating an acceleration of the device in three dimensions.