Industrial IoT design
Map devices, gateways, network requirements and data flows for industrial contexts.
Connect the physical. Understand the possible.
Unlock visibility across equipment, environments and connected operations through thoughtfully integrated IoT systems and analytics.
Discuss your projectTHE BUSINESS CHALLENGE
A reading needs context to become useful.
Sensors can produce more information than teams can act on. The challenge is connecting the right signals to equipment history, operating thresholds and a useful response.
- Context-aware architecture
- Integration with existing environments
- Security, quality and operational considerations
THE ELIOR APPROACH / HOW IT WORKS
Connect the signal to the response.
Connect sensors and industrial gateways to telemetry pipelines. Translate device signals into readable trends, useful alerts and informed workflows.
- 01
Collect
Sensors & industrial devices
- 02
Connect
Gateway & protocol mapping
- 03
Understand
Telemetry, trends & rules
- 04
Respond
Alerts and maintenance tasks
SOLUTIONS & CAPABILITIES
What we can help design.
Modular solution areas, tailored to your environment and the business challenge.
Real-time monitoring
Make connected-system conditions easier to observe through meaningful dashboards.
Sensor & device integration
Collect telemetry and events from compatible equipment and sensors.
Edge-to-cloud pipelines
Design reliable ingestion, transformation and storage for device data.
Alerts & intelligence
Use thresholds, event logic or analytics to surface operational exceptions.
IoT analytics
Turn historical device signals into trends, utilization views and insights.
PHYSICAL SIGNALS. OPERATIONAL CONTEXT.
Every reading.
In its operational context.
We start by identifying the actual requirements: the data, workflows, interfaces, constraints and outcomes that matter—then shape a solution around them.
Discuss this capabilityILLUSTRATIVE APPLICATIONS
Where intelligence can make a difference.
Potential opportunities for applying this capability, shaped by the systems, access, and data available.
VibrationMaintenance review
USE CASE / 01
Equipment monitoring
Track selected health, status and performance indicators.
Facility sensorThreshold alert
USE CASE / 02
Smart facilities
Gain visibility into environmental or energy-related telemetry.
GatewayOperations view
USE CASE / 03
Connected operations
Bring distributed device signals into shared operational views.
THE BUSINESS VALUE
01 / OUTCOME
See equipment context
Bring connected device readings into one view.
02 / OUTCOME
Surface exceptions
Apply thresholds suited to each asset.
03 / OUTCOME
Connect the response
Route an alert with the information teams need.
OUR WAY OF WORKING
From complex challenge.
To clear direction.
A disciplined delivery approach, shaped around your environment and the outcomes that matter.
01
Discover
Understand the business context, users, systems and real constraints.
02
Architect
Choose the right data flows, controls, interfaces and technical foundations.
03
Engineer
Develop iteratively, test assumptions and integrate the moving parts.
04
Evolve
Measure outcomes, improve reliability and plan the next iteration.
ENGINEERING CONSIDERATIONS
Built with the
right foundation.
The technology choices depend on the environment, constraints, and measurable objectives.
01MQTT and device messaging patterns
02Sensor and gateway architecture
03Time-series data patterns
04Edge data processing
05Event-driven dashboards
Capabilities are solution areas. Delivery stacks and commercial commitments are confirmed during project scoping.
COMMON QUESTIONS
Good questions.
Clear starting points.
Does every IoT solution require the cloud?
No. Depending on latency, connectivity and privacy requirements, some processing can remain at the edge.
Can different devices be integrated?
Often, provided device protocols, documentation, interfaces and access are available for the required integrations.
How do we decide which signals to collect?
Start from an operational question and select the minimum useful telemetry rather than collecting data without purpose.
KEEP EXPLORING