Industrial Sensor Integration
We securely connect temperature, vibration, energy, environment and process sensors to field protocols and edge nodes.
We unify heterogeneous protocols, telemetry bottlenecks and PLC/SCADA gaps on one backbone. From sensor to edge to analytics, we build secure, scalable IIoT architectures.
Problem
Heterogeneous Protocol Chaos: Modbus, BACnet, proprietary devices and cloud protocols that cannot speak on one backbone lock integration.
Telemetry Data Bottleneck: High-frequency sensor streams pushed unprocessed to the center inflate bandwidth, latency and loss.
PLC/SCADA Integration Difficulty: Legacy PLC and SCADA stay siloed without a modern MQTT/OPC-UA layer.
Device Management & Security Risks: Without identity, certificates, firmware control and network segmentation, endpoints expand the attack surface.
Approach
Hades Elektronik sizes industrial sensor integration, MQTT/CoAP/OPC-UA gateways, field edge processing, time-series telemetry and PLC/SCADA-linked predictive maintenance to site conditions. The goal is not only connecting devices—it is building a secure, manageable, decision-ready IIoT backbone.
Capabilities
We securely connect temperature, vibration, energy, environment and process sensors to field protocols and edge nodes.
We normalize heterogeneous device and PLC worlds through MQTT, CoAP and OPC-UA gateways into a central telemetry backbone.
We filter, aggregate and detect anomalies on-site so only meaningful events and summaries reach the center.
We turn telemetry into operational insight with InfluxDB / TimescaleDB storage, dashboards and alerting rules.
We connect legacy PLC/SCADA data to the IIoT layer to drive predictive maintenance from vibration and energy signals.
Use cases
Line sensors, edge gateways and predictive maintenance for OEE and pre-failure intervention.
Transformer, panel and facility energy telemetry with alarms, trends and capacity planning.
End-to-end asset monitoring with temperature/humidity chains, GPS and outage alerts.
Connecting HVAC, lighting and access sensors via BACnet/Modbus into a central BMS/IoT backbone.
Process
Device inventory, protocols, PLC/SCADA map and telemetry goals are defined.
MQTT/OPC-UA gateway, edge placement and security segmentation are designed.
Sensors, PLC/SCADA and time-series telemetry layers are connected.
Alert rules, dashboards and predictive maintenance models go live.
Device management, firmware, security and telemetry capacity are continuously improved.
MQTT fits lightweight event-driven telemetry and cloud/edge publish; OPC-UA shines when PLC/SCADA and industrial information models are required. Many sites use both via a gateway.
We ingest PLC data via Modbus/RTU-TCP, proprietary drivers or OPC-UA servers into a protocol gateway, normalize it and securely publish to MQTT/time-series layers.
Critical filtering, aggregation and anomaly detection run in the field; events, summaries and model outputs go to the center—lowering latency, protecting bandwidth and improving offline resilience.
InfluxDB suits high-frequency metrics and dashboard-centric workloads; TimescaleDB fits SQL/relational reporting and Postgres ecosystems. Choice depends on volume, query profile and ops team.
Device identity/certificates, TLS, network segmentation, broker ACLs, signed firmware and monitoring build a trust chain from device to cloud; Zero Trust principles are applied to the IIoT backbone.
We’ll assess protocol, edge, telemetry and predictive maintenance needs and shape a practical IIoT architecture.
Service context: IoT & Smart Systems