Master's Course Project

Sensors and Instrumentation

Air particulate monitoring concept focused on practical sensing architecture, reliable data capture, and deployable measurement strategy.

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Project Summary

Selected sensor approach for particulate detection based on expected environment and signal quality.
Designed signal-conditioning and acquisition flow to improve consistency and reduce noise impact.
Outlined calibration and validation steps for trustworthy trend monitoring over time.
Evaluated integration path with embedded controllers and low-power logging workflows.
Considered packaging and deployment factors for field-ready operation.

Addressed repeatability and data confidence through practical instrumentation choices.

Connected sensing, processing, and logging into a coherent monitoring workflow.

Prioritized realistic field use, maintainability, and accessible operation.