March 2025 | ASU-ASCEND/Spring-2025: Delivered two sensor integrations and associated data-path improvements to enable richer environmental monitoring with improved memory efficiency and reliability. The work enhances real-time sensing capabilities for production scenarios and provides a solid foundation for future sensor updates. Key features delivered: - TMP117 Temperature Sensor Integration: Implemented a dedicated sensor class with initialization, verification, data reading, and packet handling. Updated platformio.ini to include the TMP117 library, enabling reliable hardware interfacing and end-to-end data delivery. - SHTC3 Temperature and Humidity Sensor Integration: Added full sensor support (temperature in Celsius and humidity) with header/source integration, verification, data reading, and packet encoding/decoding. Updated platformio.ini with the Adafruit SHTC3 library. Also implemented a memory optimization by replacing doubles with floats to improve memory usage and hardware alignment. Major bugs fixed / stability improvements: - Strengthened data-path robustness with improved verification and packet handling logic for both sensors. - Resolved memory alignment and precision concerns by migrating from double to float where appropriate, reducing RAM usage and potential floating-point overhead on embedded targets. Overall impact and accomplishments: - Expanded sensing capabilities with two reliable sensors, enabling broader environmental monitoring use cases. - Reduced memory footprint and improved runtime performance, enhancing device viability on constrained hardware. - Streamlined library management within PlatformIO, easing future upgrades and maintenance. Technologies / skills demonstrated: - Embedded C/C++, sensor integration patterns, and header/source structuring. - PlatformIO configuration and library management. - Data packet encoding/decoding and sensor data verification. - Memory optimization techniques for embedded systems to improve efficiency and reliability.

February 2025 monthly summary for ASU-ASCEND/Spring-2025 focusing on sensor data pipeline improvements. Implemented INA260 data packetization and CSV export, enabling compact, reliable data transmission and easy interoperability with analytics pipelines. The work includes a dedicated packet system and decoding path, setting the foundation for scalable telemetry and faster insights.