Industrial Assets
Master registry of industrial equipment with hierarchy, criticality, location, and data source linking.
Industrial Assets
Assets are the heart of Rela AI. Every machine, pump, compressor, motor, or valve that your team needs to monitor and maintain is registered here as an asset. Everything else in the platform — alarms, maintenance, inspections, history — revolves around assets.
What is it for?
In an industrial plant, equipment information is usually scattered: technical specs in a spreadsheet, failure history on paper, drawings in a server folder, and nobody knows for certain when the last maintenance was performed. When something fails, losing time searching for that information has an enormous cost.
The Assets module centralizes all equipment information in a single profile: technical data, plant location, criticality level, connected data sources, maintenance history, and current operational status. It is the reference point for the entire team.
How does it work?
Each asset has a profile with fixed fields (name, code, type, manufacturer, model, serial number) and configurable fields for your organization. Assets are organized in a four-level hierarchy:
Plant → Area → Line → Location detailFor example: North Plant → Compressor Area → Line 3 → Second floor, bay 4.
Assets can also have parent-child relationships: a production line can contain multiple machines, and each machine can contain sub-components like motors, gearboxes, and bearings.
Once registered, the asset can be linked to data sources (sensors, PLCs), maintenance plans, inspections, and LOTO procedures. All activity is kept in the asset's history.
How to use it?
Register a new asset
- Go to Assets in the sidebar.
- Click Create Asset.
- Fill in the form fields:
| Field | Description | Example |
|---|---|---|
| Name | Descriptive name of the equipment | Feed Pump C-12 |
| Asset code | Unique internal plant code | PMP-C12-001 |
| Type | Equipment category | Pump, Motor, Valve, PLC, Sensor |
| Manufacturer | Company that made the equipment | Grundfos, Siemens, Allen-Bradley |
| Model | Model reference | CR 32-4 |
| Serial number | Manufacturer's serial number | GF-2023-45678 |
| Criticality | Impact if this equipment fails | See criticality table below |
| Status | Current operating condition | Operational, Degraded, Maintenance |
- Define the location hierarchy (plant, area, line, location detail).
- If the asset is part of a larger assembly, select the parent asset.
- Save. The asset is registered and available for linking to data sources and plans.
Criticality levels
| Level | What it means in the plant |
|---|---|
| Low | If it fails, production is not affected. Can be addressed when convenient. |
| Medium | If it fails, production is partially reduced. Address within the shift. |
| High | If it fails, a complete production line stops. Address immediately. |
| Critical | If it fails, the whole plant stops or creates a safety hazard. Emergency response. |
Operational statuses
| Status | Description |
|---|---|
| Operational | Functioning normally |
| Degraded | Functioning but with reduced performance — monitor closely |
| Maintenance | Under scheduled or corrective maintenance — don't generate alarms |
| Offline | Temporarily stopped |
| Decommissioned | Permanently retired from service |
Link data sources
After creating the asset, link it to its data sources (sensors, PLCs):
- Open the asset.
- In the Event sources section, click Add.
- Select the source already configured in Machine Agents.
From that point, when that source generates an alarm, the system automatically associates it with the asset.
Key benefits
- All equipment information in one place: technical data, location, history, and current status
- Plant hierarchy that reflects your real structure: easy to filter by area or line
- Criticality that prioritizes attention — not all equipment is equally urgent
- Linking with data sources to correlate alarms with specific equipment
- Foundation for predictive maintenance: the more complete the profile, the more useful the analysis
- Auto-generated QR code for field identification (see QR Scan section)
Common use cases
Scenario 1: Register new equipment after installation A new compressor arrives at the plant. The maintenance coordinator creates the asset in Rela AI with all technical plate data (manufacturer, model, serial), places it in "South Plant → Compressed Air Area → Compressor 3," assigns criticality "high," and links it to the vibration sensor already installed. From that day, any anomaly in the compressor generates an alert linked to the asset.
Scenario 2: Check history before intervening A technician is going to perform maintenance on pump B-07. Before starting, they open the asset in Rela AI from their phone (by scanning the equipment's QR code) and review the history: last maintenance was 3 months ago, there was a high temperature alarm 2 weeks ago that was closed without documented corrective action. With that information, they know what to check more carefully.
Scenario 3: Fleet analysis by criticality The maintenance manager wants to identify how many critical assets haven't had maintenance in over 6 months. They filter assets by criticality "critical" and review the last maintenance field. They prioritize the preventive maintenance plan with that list.