My creativity is based on my curiosity and ambition to create goals and find viable solutions to achieve them. In a wide range of areas, I enjoy analyzing problems, creating an expert assessment and paving the way into unknown territory.
The combination of technology and methods from different areas forms the basis of my activities: Physics, IT, aviation, bio-medicine, psychology, economy.
As a multi-lingual, conscious HSP (extrovert sub-type) I am able to comprehensively analyze sentiment in (verbal/non-verbal) communication. I strive for situational awareness and precision. I have successfully used my skills to lead and drive projects involving complex groups of people.
this page shows live events recorded from a nesting box located in Weinheim, Germany. BirdyIO is based on an ESP8266 µController for real-time analysis of event patterns recorded by two pulsed IR light barriers. Events are stored in a PostgreSQL backend. See here for further detail. The graphs depicted below are rendered from the live database using Grafana, from top to bottom:
Intraday course (y-axis) vs. date (x-axis), event frequency is color-coded
in/out events (bird is passing through nest opening in a connected action)
other events (bird is obstructing nest opening without passing)
StratoExplorer is a privately operated technology demonstration for an edge-of-space flight of a stratospheric balloon probe. High altitude ballooning (HAB) got popular in recent years to send all sorts of electronics gadgets (such as smartphones, action-cams, sat-trackers) to the upper atmosphere – and eventually return and retrieve them safely. In contrast, StratoExplorer project focus is set on:
engineering (digital electronics, hardware) of lightweight and robust payload
software design and implementation (fault-tolerant, x-architecture, x-language: C++, Py)
long-range telemetry and IoT connectivity (multi-sensor, data replication, monitoring)
The project relies on ARM-Cortex M7 (“Teensy 4.1”) and ESP8266-12E micro-controller hardware for probe (“StratoExplorer”) and (mobile) ground station (“StratoExplorerRX”) respectively. Both devices make use of identical, proprietary libraries for task scheduling, data sampling and air-ground communications via 433 MHz LoRa. Moreover, both units are synchronized to GPS-based reference time. Therefore, switching of LoRa spreading factors (data rate and range) and bi-directionality (airborne probe acknowledges up-link messages) are available. For the “human” interface, an InfluxDb + Grafana stack is operated on raspberry-pi hardware: a) a Pi-zero device in a LAN with a smartphone (as: display, WiFi access point, Internet gateway), b) a Pi-4 device with replicated telemetry for “world”-access.
StratoExplorer: architecture diagram
StratoExplorerRX preview:
PyStratoExplorerRX “Cockpit” receiving (test) telemetry data from StratoExplorerRX. This gives an impression of the air-to-ground telemetry data received by the ground station: direct and derived information.
PyStratoExplorerRX cockpit web-interface, showing critical telemetry data and map view of 3 targets: payload, predicted landing site, tracking receiver.
Status & next steps
done:
Successful integration-testing-I (hw/sw, static non-flight) of StratoExplorer, StratoExplorerRX & PyStratoExplorerRX
next:
physical mounting of hardware + (long range) telemetry testing
integration-testing-II (hw/sw, simulated flight)
assembly with balloon + parachute and camera units
legal paperwork and flight scheduling
expect further pre-launch posts:
2/4: StratoExplorer 2.0: payload details
3/4: (Py)StratoExplorerRX details
4/4: reports from telemetry testing & integration-test-II
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