Tested local dashboard
Cooling Loop Dashboard.
From sensor-format files to readable engineering feedback.
- 01CSV input
- 02Validate
- 03Calculate
- 04Visualize
- 05Export
Verification with synthetic or defined calculation inputs
Objective
Turn sensor-format CSV files into clear calculations, charts, and data-quality feedback while keeping assumptions and missing information visible.
Engineering
The dashboard applies coolant heat-removal calculations, temperature differences, pressure drop, and simple threshold warnings. An optional synthetic-load column supports an educational heat-balance residual.
Implementation
Developed with AI coding assistance, the Streamlit app loads sample or uploaded files, checks their structure, and displays operating summaries and time-series charts. It exports processed CSV and HTML summaries and reuses the Thermal Calculator package. The documented version is 0.1.0.
Software verification
21 tests passed in the September 10, 2026 local check, covering calculations, malformed and missing inputs, warning paths, conditional reports, and headless application behavior.
Current status
Implemented local dashboard demonstrated with synthetic examples. It analyzes files without live acquisition or equipment control, and uses simple threshold warnings.
Current learning focus
Separating data processing from interface code and making missing values, assumptions, and data origin understandable to the person reading a report.