Tested / synthetic data only
Sensor Stream Simulator.
Known inputs for checking a future measurement workflow.
- 01Scenario + seed
- 02Simplified model
- 03Generated records
- 04Known conditions
- 05Pipeline checks
Verification with synthetic or defined calculation inputs
Objective
Exercise data-processing and reporting paths with repeatable inputs and deliberately introduced conditions before an experimental system supplies measurements.
Engineering
Simplified relationships connect imposed heat load, coolant flow, temperature rise, pump command, and pressure loss. These relationships support testing software behavior, not predicting every feature of real equipment.
Implementation
Built with AI assistance, the tool produces CSV and JSON datasets for eight scripted scenarios, including normal operation, restricted flow, drift, missing measurements, pump failure, and a leak event. Fixed start times and seeded randomness make outputs reproducible. The documented version is 0.1.0.
Software verification
35 tests passed in the September 10, 2026 local check, covering the scenarios, repeatability, expected trends, timestamps, file output, and command-line behavior.
Current status
Implemented software that generates synthetic records without connected sensors. Scenario labels come from the generator and do not represent validated fault detection.
Current learning focus
Designing deterministic fixtures that expose data-processing errors and exercise expected trends.