Transform IoT Data Like a Pro: Introducing Transforms Feature in Machinechat JEDI v3.21

Machinechat Team

Jan 212 min read

Updated: Jan 23

Let's face it: managing IoT data can be challenging, despite its incredible potential.

Raw streams of numbers flood in, leaving you wondering: How do I turn this into something useful?

That's where Machinechat JEDI v3.21 steps in with its new Transforms feature.

What are Transforms?

Transforms serve as a versatile tool for processing IoT data. They allow you to:

Compute: Perform real-time calculations to derive key metrics—like energy efficiency or usage trends.
Translate: Take raw data and convert it into human-friendly states, such as "ON/OFF" or "Hot/Cold."

Instead of spending hours on manual data collection and calculations, you receive immediate, actionable insights. Your data is transformed into a tool you can actually use.

Real-Life Use Cases

Wondering how JEDI's Transforms feature fits into your workflow? Here are some real-world examples:

Industrial IoT Monitoring

Calculate changes in water flow rates with a compute transform: delta('sensor1', 'flow_rate') > 10. If there's a spike, JEDI can trigger a leak alert, helping you prevent downtime and costly repairs.

Energy Management

Optimize energy usage by calculating efficiency metrics: metric('panel1', 'energy_output')/metric('panel1','solar_input'). With real-time results, you can improve sustainability and cut costs.

How to Use JEDI Transforms

Open Settings -> Transforms in the JEDI interface.
Choose Transform type: Compute (for calculations) or Translate (for mapping data).
Define conditions or formulas.
Map the results to metrics.
Use the transformed metrics in dashboards, rules, and reports.