Using Cross-measurement Math to synthesize sensor data
summary
Shows how Flux performs cross‑measurement math live: joins temperature, pressure and CO2 measurements from different buckets, runs an ideal gas law compensation and a heat‑index function from a reusable Flux library, and graphs raw versus compensated CO2 in real time. Demonstrates a battery CO2 sensor + ESP32 that spikes to 6,000+ ppm in a crowded room, writes batched points, and an MQTT alert pipeline; everything runs live and the calculated results match expected physical formulas.
AI-written summary · about
chapters (16)
- 0:00Start
- 1:33Gas is easy: How much gas is there?
- 2:15Heat Index: How hot does it feel
- 3:19There are lots of others
- 4:34Let's talk about Flux
- 5:45Some Terminology
- 7:17A Simple Flux Example
- 8:36Let's do some Maths in Flux
- 9:38Here's Your Table
- 10:20Build some more Tables
- 12:40Let's see the Maths
- 13:33The End Result
- 14:52We can Hide Complex Maths
- 15:27Steadman and Rothsfuz
- 17:03Heat Index is Hard
- 26:33Resources
related talks
45mPanel Discussion: Cost-Effective and Scalable Measurement of On...
40mProcessing IoT sensor data with InfluxDB
28mBuilding an IoT Monitoring App with InfluxDB
41mBuilding Wireless Sensors
09mInterview – Yodit Stanton
27mLessons learned through real world deployments
45mIoT End to End
37mFrom Sensors to Insights at the Edge: Applying AI to IoT Data
