12 services

Intelligent Infrastructure and Connected Systems

Engineering the path from physical signal to operational decision.

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Overview

Physical operations generate a constant stream of evidence: a compressor's vibration signature, a truck's fuel burn, a pump's discharge pressure, a cold-chain container drifting out of range. Much of that evidence never reaches the people who could act on it, because it is trapped in proprietary controllers, isolated historians and devices that were never designed to share.

iQsolutions engineers the connective layer between the physical and the digital. We work across field protocols such as MQTT, OPC UA, Modbus and CAN bus, through edge gateways and cloud IoT services, and into the time-series platforms, dashboards and models that support maintenance, dispatch and planning decisions.

Operational technology carries consequences that ordinary software does not, and our engagements are shaped by that fact. We segment OT from IT networks, default to read-only integration, design with ISA-95 and ISA/IEC 62443 concepts in mind, and treat plant engineers and safety owners as decision-makers rather than stakeholders informed after the fact.

In operational technology environments we work under the direction of the client's plant engineering, controls and safety teams. Any change that writes to control systems or equipment is made only with their documented review and approval.

Services in this discipline

Internet of Things

End-to-end IoT engineering: device connectivity, secure messaging, cloud ingestion and the applications that make connected products and assets useful.

Industrial IoT

Industrial IoT engineering that connects PLCs, historians and plant equipment to analytics and enterprise systems, with OT safety and network segmentation designed in.

Telematics Engineering

Vehicle and mobile-asset telematics: CAN bus, J1939 and OBD-II data acquisition, GNSS location, cellular connectivity and the platforms that make fleet data usable.

Fleet and Mobility Software

Fleet management and mobility platforms: dispatch, routing, location intelligence, maintenance and partner operations built on dependable telematics data.

SCADA Integration

Safe, read-mostly integration of SCADA and control-system data with enterprise analytics: segmented networks, governed data flows and plant-approved changes only.

Industrial Monitoring Platforms

Monitoring platforms for plants and distributed assets: condition monitoring, alarms, time-series analytics and operator dashboards built on governed industrial data.

Sensor and Device Integration

Integration of sensors, meters, controllers and third-party devices into reliable data pipelines, covering protocol translation, payload decoding, metadata and device lifecycle.

Edge Computing

Edge architectures that process data near its source, with gateways, containerised workloads, local inference and resilient sync for sites where latency, bandwidth or connectivity matter.

Remote Equipment Management

Platforms for monitoring, configuring and servicing equipment installed at customer or remote sites, with secure connectivity, remote diagnostics, controlled updates and service workflows.

Industrial Automation

Software engineering for automated operations: MES and ERP integration, work-order and recipe flows, operator applications and orchestration around the control layer.

Operational Intelligence

Operational intelligence platforms that combine telemetry, transactions and context into live views, alerts and analytics for the people running fleets, plants and networks.

Predictive Maintenance

Condition-based and predictive maintenance systems: vibration analytics, anomaly detection and failure-mode models connected to the maintenance workflows that act on them.

What sets this discipline apart

01
Protocol fluency
We work in the languages already installed in the field, from Modbus register maps and OPC UA information models to J1939 parameter groups and Sparkplug B payloads, so integration starts from what exists rather than from a rip-and-replace plan.
02
Safety before speed
Read-mostly integration, segmented networks and explicit approval paths for any write-back. Operational continuity and personnel safety outrank feature velocity in every design decision we make.
03
Deliberate edge-to-cloud architecture
We decide what runs at the edge and what runs in the cloud workload by workload, weighing latency, bandwidth, connectivity gaps, data residency and the real cost of moving raw telemetry.
04
Decisions, not just data
Telemetry earns its keep when it changes an action. We design towards specific operational decisions, such as a maintenance window, a reroute or an inspection, and instrument the path from signal to response.

How engagements run

Connected systems assessment

A structured review of devices, protocols, networks, historians and data flows, producing an integration map, a risk register and a prioritised architecture recommendation that operations and IT can both endorse.

Bounded pilot

We instrument a single line, site, vehicle group or equipment class end to end, validating data quality, connectivity and usefulness to operators before anyone commits to a wider rollout.

Platform build and scale-out

A dedicated engineering team builds and hardens the production platform, covering device onboarding, pipelines, dashboards, alerting and analytics, then extends it across sites with documented runbooks and a planned handover to internal teams.

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