IoT Backend & Multi-Protocol Integration
Backends that ingest device telemetry across MQTT, WebSocket, Modbus, and BLE, and normalize it into reliable real-time dashboards.
- MQTT & WebSocket ingestion for real-time, low-latency events
- Modbus RTU/TCP polling for meters and factory PLCs
- BLE device handling via gateway bridging
- Protocol normalization into one common data model
- Historical storage for reporting and trend analysis
- Operational dashboards shaped around your actual workflow
IoT Backend & Multi-Protocol Integration
I build IoT backends that connect real-world devices — meters, sensors, alerts, controllers — into one reliable system, no matter what protocol each device speaks. The goal is a single operational view, not a pile of separate device tools.
The problem this solves
Every device category speaks a different protocol. Water meters use Modbus RTU, factory PLCs talk Modbus TCP, short-range sensors need BLE, and urgent alerts arrive over MQTT and WebSocket. Operators should not have to care what's underneath — they need one dashboard that shows the signals that matter, in real time, with history they can trust.
What I deliver
- Real-time ingestion over MQTT and WebSocket for low-latency events and live updates — including critical alert flows like nurse call and code blue.
- Modbus polling (RTU and TCP) for meters and factory PLCs, with register data mapped to meaningful readings.
- BLE handling through gateway bridging for short-range wireless devices.
- Protocol normalization — telemetry from every protocol mapped into one common data model, so the dashboard is protocol-agnostic.
- Durable storage (PostgreSQL + Redis) for history, reporting, and trend analysis, plus connection-health visibility so stale data is easy to spot.
- Dashboards built around your workflow — I study how your team operates first, then build the views to match, not a generic IoT template.
How I build it
A Node.js backend with per-protocol adapters feeds a normalization layer that writes a single canonical telemetry model. MQTT and WebSocket carry real-time events; Modbus devices are polled on a schedule; BLE comes in through gateways. Redis keeps the hot, live state; PostgreSQL keeps the durable history.
Proof
I built exactly this for freelance clients — unifying alerts and telemetry from 8+ device categories (water, kWh, and gas meters, nurse call, code blue, panic buttons, smart locks, vending machines, and factory PLCs) across Modbus, MQTT, BLE, and WebSocket. See the case study for the build, or the complete guide to IoT backends for how these systems are designed.
If you have devices across different protocols and want one real-time view, let's talk.