IIoT • MQTT / OPC-UA • Edge • Predictive Maintenance

We bring industrial IoT and smart systems to the field

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

Why IoT projects break in the field?

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

We design sensors, protocol gateways, edge and telemetry analytics together

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

IoT and smart systems technical capabilities

Industrial Sensor Integration

We securely connect temperature, vibration, energy, environment and process sensors to field protocols and edge nodes.

MQTT / CoAP / OPC-UA Protocol Gateway

We normalize heterogeneous device and PLC worlds through MQTT, CoAP and OPC-UA gateways into a central telemetry backbone.

Edge Computing & Field Processing

We filter, aggregate and detect anomalies on-site so only meaningful events and summaries reach the center.

Time-Series Telemetry & Analytics

We turn telemetry into operational insight with InfluxDB / TimescaleDB storage, dashboards and alerting rules.

PLC/SCADA Integration & Predictive Maintenance

We connect legacy PLC/SCADA data to the IIoT layer to drive predictive maintenance from vibration and energy signals.

Use cases

IoT and smart systems scenarios

Smart Factory & IIoT

Line sensors, edge gateways and predictive maintenance for OEE and pre-failure intervention.

Energy & Infrastructure Monitoring

Transformer, panel and facility energy telemetry with alarms, trends and capacity planning.

Cold Chain & Field Telemetry

End-to-end asset monitoring with temperature/humidity chains, GPS and outage alerts.

Smart Building Management

Connecting HVAC, lighting and access sensors via BACnet/Modbus into a central BMS/IoT backbone.

Process

IoT and smart systems delivery process

01

Discovery

Device inventory, protocols, PLC/SCADA map and telemetry goals are defined.

02

Protocol & Edge Design

MQTT/OPC-UA gateway, edge placement and security segmentation are designed.

03

Integration

Sensors, PLC/SCADA and time-series telemetry layers are connected.

04

Go-live

Alert rules, dashboards and predictive maintenance models go live.

05

Operations

Device management, firmware, security and telemetry capacity are continuously improved.

Frequently asked questions about IoT and smart systems

Should we choose MQTT or OPC-UA?

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.

How do you integrate legacy PLC systems?

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.

How is the edge computing architecture designed?

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 or TimescaleDB for telemetry?

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.

How is end-to-end IoT security ensured?

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.

  • IIoT
  • MQTT / OPC-UA
  • Edge

Let’s plan your IoT and smart systems roadmap together

We’ll assess protocol, edge, telemetry and predictive maintenance needs and shape a practical IIoT architecture.

Service context: IoT & Smart Systems