During a two-month summer internship at the Energy Efficiency Control Optimization Laboratory at Texas A&M University, I undertook the design and implementation of a low-cost Data Acquisition (DAQ) module. This module is primarily used to measure critical parameters of compressed air systems.
Key Features:
- Data acquisition
- Local data storage
- Online data streaming and visualization
- Cloud-based data storage
- Compatibility with HOBO’s self-describing sensors
I independently developed all the electronics, software, and hardware for the project. The module features a Raspberry Pi microcomputer, a 16-bit ADC, and a custom 3D-printed enclosure, all controlled via Python scripts. The project was successfully completed and tested within the internship period.
