Industrial Internet of Things Applied to Energy Efficiency
summary
An Industrial IoT deployment for energy efficiency using the OpenGate platform collects per-machine power quality and consumption with low-cost analyzers (€200) and gateways (€100), sending data over cellular or Sigfox to a hybrid Java backend built on Cassandra plus a relational database. The system provides real-time dashboards, machine-learning anomaly detection for harmonics, reactive power and peak consumption, recommends capacitor banks or staggered motor starts, supports remote firmware updates across ~1,000 devices, and reports measurable energy savings.
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chapters (13)
- 0:00Introduction
- 0:41Mont Blanc
- 2:44Telemetry and Remote Control
- 6:18M2M Architecture
- 10:43Re-volution?
- 13:46Gartner
- 16:47Big Data
- 19:36Cloud Computing
- 21:19Machine Learning
- 31:24Measurement Services
- 32:47Dashboards
- 33:10Efficiency
- 35:19Automation Rules
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