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GFR Flight


4.4 ( 4784 ratings )
Продуктивність Стиль життя Утіліти Спорт
Розробник: Stratos Perception, LLC
безкоштовно

GFR Flight is designed for data acquisition of acceleration and rotation fields during space flight. With a TRL of 8, GFR Flight is custom designed to support payloads requiring a minimal power "foot print".

This app provides:
- Maximal battery life, while
- Recording acceleration and rotation fields at 50 Hz, and
- Writing collected data to the hard drive at 0.667 Hz.

GFR is an easy an ideal tool for collecting detailed data during flight operations where onboard electric power is not available to the device.

This app records:

- 3-axis acceleration fields
- Rotational displacements (pitch, roll, yaw)

This app also provides:
- Plotting
- Playback
- Data Exporting

Delete any of your log histories, with a swipe and a click, or retain then indefinitely.

Use this app to assist your performance analysis of aerospace vehicle payloads.

This app does not collect personal information from you and does not communicate with the cloud. All of your data is logged exclusively on your device, where you may retain it indefinitely or delete the files of your choosing.

GFR Flight features:

- Maximal battery usage (e.g. an iPod Touch can record for 9+ hours on battery power)

- Unlimited recording time when plugged into electric power.

- Unlimited data collection size. Collected data is automatically stored in indexed files of up to about 5 MB per file. Data storage is only limited by the max storage availability on the device.

- Programmable data acquisition start/stop time.

- Sampling of 50 Hz.

- Logging and Plotting of motion data:

Standard (Free)
-- 3 Axis Acceleration Field
-- 3 Axis Rotations (Pitch, Roll, and Yaw)

- Computed averages and extrema of recorded data.

- Rewind and playback of recorded data

- Text notes can be added to each stored data file

- Export of stored data files via many channel, (e.g. email, Facebook, Slack ...)

- Indefinite local storage data, automatically referenced by data and time.