Real-time IoT Monitoring

Supervise your connected equipment with full real-time visibility

Category: Support and customer service
Model: open, installed on your premises
Data: never leaves
Subscription: €0 per month

01Overview

Thousands of sensors in a factory, smart farm or energy network generate continuous data streams. Without the right infrastructure, this data is lost or consulted too late. The Real-time IoT Monitoring system ingests, processes and visualizes your sensor data streams in real time, automatically detects anomalies and sends alerts to the right people before problems escalate.

The problem

Traditional SCADA systems have latencies from several seconds to several minutes. Alerts arrive after the incident. Failure management is reactive. And without cross-sensor correlation, root causes of problems remain hard to identify.

Our answer

A Kafka pipeline ingests your sensor data (MQTT, HTTP, Modbus) in real time. Data is processed by anomaly detection models and visualized in Grafana with custom dashboards per line, zone or equipment. Alerts are sent via Slack, SMS or email with context and action suggestions.

02How it works

Live in four steps.

01
Sensor mapping
Inventory of all your sensors, protocols (MQTT, HTTP, Modbus, OPC-UA), measurement frequencies and nominal values.
02
Ingestion pipeline
MQTT broker + Apache Kafka setup for high-frequency ingestion. Storage in InfluxDB or BigQuery depending on volume.
03
Anomaly detection models
Model training on your historical data to distinguish normal behavior from significant anomalies.
04
Grafana dashboard & alerts
Dashboards by equipment, line and zone. Configurable alerts with business logic and escalation by severity level.

03What you gain

Results you can measure.

Anomalies detected in < 30 seconds

The real-time pipeline detects drifts before they become failures. Intervention before production impact.

Full fleet visibility

All your equipment on one dashboard. Temperatures, vibrations, pressures, flows, everything visible at a glance.

Maintenance costs reduced

Condition-based maintenance (intervene when needed) replaces scheduled preventive maintenance. 20–40% savings on maintenance costs.

04Frequently asked

What we get asked before signing.

Which IoT protocols do you support?

MQTT, HTTP/REST, Modbus TCP/RTU, OPC-UA, LoRaWAN, AMQP and proprietary APIs from most industrial equipment manufacturers.

Does the solution work on isolated industrial networks (air gap)?

Yes. The entire pipeline can be deployed on-premise on your industrial network without internet connection. DMZ deployment possible.

What data ingestion frequency is supported?

Up to 100,000 measurements per second with Apache Kafka. High-frequency data (vibrations) can be downsampled before storage.

Can existing SCADA data be integrated?

Yes. A SCADA connector can be added to integrate historical data and complement it with new sources.

Let's talk about your case for thirty minutes.

A conversation to understand your context, volumes and tools. You leave with a scope and an order of magnitude, no commitment.

+261 38 66 261 00 team@wikolabs.com