AppMatic Tech engineers IoT dashboards for energy and utility metering, ingesting smart-meter data over MQTT into a time-series store, with consumption analytics and anomaly detection for leaks or tampering. Utilities monitor usage from a Node.js and React dashboard. 330+ products shipped since 2017.
Smart meters generate high-frequency data that only creates value when it drives billing accuracy and anomaly detection. AppMatic Tech builds the ingestion and analytics so utilities see consumption patterns and flag irregularities.
IoT Application Development Stack for Energy & Utilities
| Layer | What AppMatic Tech uses |
|---|---|
| Device ingest | MQTT broker, smart-meter feeds |
| Time-series store | TimescaleDB on PostgreSQL |
| Backend | Node.js ingestion and analytics service |
| Dashboard | React consumption analytics panels |
| Alerts | Anomaly detection for leaks and tampering |
How AppMatic Tech Delivers This
- Model meter data per customer, unit, and interval.
- Ingest smart-meter readings over MQTT into a time-series store.
- Build consumption analytics and comparison views.
- Add anomaly detection for unusual usage patterns.
- Validate against meter data and deliver with a support SLA.
Frequently Asked Questions
- What data does a utility metering dashboard handle?
- AppMatic Tech ingests smart-meter interval data over MQTT, so utilities see consumption per customer and unit over time and can support both analytics and billing accuracy.
- Can it detect leaks or tampering?
- Yes. AppMatic Tech adds anomaly detection over the metering time-series, so usage patterns that suggest a leak or tampering are flagged rather than missed.
- What is the underlying stack?
- AppMatic Tech builds the metering dashboard on a Node.js ingestion and analytics backend with TimescaleDB storage and a React analytics front end.
Further reading: BLE vs Wi-Fi vs MQTT: Choosing the Right Protocol for IoT Mobile App Integration