Flight-Phase Lag Frames for Electric Aircraft Telemetry Latency
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Solution Overview
Problem
Electric aircrafts face challenges in maintaining consistent data transfer due to varying latency and bandwidth strain during complex flight phases, leading to inconsistent data communication and potential system strain.
Innovation Solution
A system and method that utilize sensors and computing devices to detect flight phases, generate flight data, and adjust latency thresholds to optimize data transmission, delaying data transfer during intensive phases and prioritizing communication based on current flight conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data transfer is maintained consistently during all flight phases, then communication reliability is improved, but bandwidth strain and latency increase during intensive flight phases
Solution Approach 1:
The system dynamically adjusts the data transfer lag frame based on the detected flight phase. During intensive phases (takeoff, landing, maneuvering), the lag frame is increased to reduce bandwidth strain. During stable phases (cruise), the lag frame is decreased to maintain communication reliability. This dynamic adjustment resolves the contradiction by adapting the data transfer characteristics to the current operational context.
Solution Approach 2:
The system changes the lag parameter (time delay for data transfer) according to flight phase conditions. By modifying this key parameter based on operational intensity, the system optimizes the balance between communication reliability and bandwidth consumption, preventing overwhelming the communication channel during high-intensity operations while maintaining adequate data flow during stable phases.
2Loss of time
If data transfer frequency is increased to reduce latency, then communication responsiveness is improved, but bandwidth strain increases during intensive flight phases
Solution Approach 1:
The lag frame is dynamically adjusted based on flight phase detection. During intensive phases, a larger lag frame is applied to reduce bandwidth consumption. During stable phases, the lag frame is reduced to improve responsiveness. This dynamic parameter adjustment resolves the contradiction between latency and bandwidth consumption by adapting to operational conditions.
3Loss of information
If continuous data transfer is maintained, then data completeness is improved, but system strain and latency variability increase
Solution Approach 1:
Instead of continuous data transfer, the system implements periodic data transfer with variable lag frames. Data is transferred in intervals determined by the current flight phase, with longer intervals during intensive phases and shorter intervals during stable phases. This periodic approach maintains data completeness over time while reducing instantaneous system strain and latency variability.
Solution Approach 2:
The system dynamically adjusts the data transfer interval (lag frame) based on flight phase detection. This dynamic adjustment allows the system to maintain adequate data flow for completeness while preventing overwhelming the system during intensive operations, thereby reducing system strain and latency variability.
Data Source
AI summary
A system for scaling lag based on flight phase of an electric aircraft is presented. The system include a sensor connected to an electric aircraft configured to detect measured aircraft data, identify a flight phase of the electric aircraft, and generate a flight datum. The system further comprises a computing device communicatively connected to the sensor, wherein the computing device is configured to receive the flight datum and the flight phase, identify an input latency as a function of the flight datum, select a lag frame as a function of the input latency, wherein the lag frame further comprises a lag threshold, and transmit the flight datum to a user device as a function of the lag frame. The system further includes a remotely located user device configured to receive the flight datum.