Energy & Utilities Solution

XyromOS for Energy —
Robots in the Field, Not the Toolbox

XyromOS keeps energy assets running with autonomous inspection, predictive maintenance, and safe human-robot collaboration in live environments — ATEX-zone aware, SCADA-native, and offline-capable.

Speak to Our Energy Team 📖 Documentation

80%Engineering Target: Manual Inspection Time Reduction

99.1%Uptime SLA Path

PredictiveMaintenance Integration

ATEX / IEC 62443Zone-Aware & Secure

Live Asset Inspection

Inspection Without Downtime

Robots running XyromOS inspect pipelines, wind turbines, solar arrays, and substations while assets are live and generating. No shutdown required. No revenue lost.

Structured data capture, AI-assisted anomaly detection, and automatic report generation mean engineering teams receive actionable intelligence, not raw footage.

Pipeline crawlers — internal and external corrosion, crack detection
Wind turbine blade inspection — aerial and rope-access robots with thermal imaging
Solar panel inspection — soiling, micro-crack, and bypass diode fault detection
Substation patrol — thermal hot-spot detection, oil leak identification
Structured data capture — all findings georeferenced and tagged to asset IDs
Automatic report generation — inspection reports ready within minutes of completion

Live Inspection Dashboard

⚡ Substation Patrol — Zone 4

12 bays inspected | 1 thermal anomaly flagged

✅ Solar Farm — Array B Scan Complete

840 panels scanned | 3 soiling alerts | Report ready

🔴 Pipeline Crawler — Sector 7B

Corrosion: 2.4mm depth at km 14.7 — maintenance triggered

🌬️ Wind Turbine WTG-22 — Blade Scan

3 blades inspected | 0 defects | Next: WTG-23

Control System Integration

SCADA & OPC-UA Native

XyromOS speaks the language of energy infrastructure. Direct OPC-UA, MQTT, and Modbus integration means robots appear as first-class nodes in your existing control network — no additional middleware, no new data silos.

Control room operators can monitor robot status, issue safe-stop commands, and review inspection findings all within their existing SCADA interface.

OPC-UA server — robots publish telemetry directly to SCADA namespace
MQTT — event-driven alerts for anomalies and inspection findings
Modbus/TCP — direct integration with legacy SCADA systems
SCADA-triggered safe-stop — operators halt robots from control room
Historian integration — telemetry to OSIsoft PI, InfluxDB, or custom historian
Alarm forwarding — robot alerts appear in existing SCADA alarm management

🔌

OPC-UA Server

Robots publish as OPC-UA nodes. Browse in existing SCADA without configuration.

📡

MQTT Events

Inspection anomalies and safety events published to MQTT broker in real time.

🏭

Historian

Long-term telemetry archival to OSIsoft PI, InfluxDB, or your existing historian.

🛑

Remote Safe-Stop

SCADA operators can trigger safe-stop on any robot from the control room, instantly.

Hazardous Area Safety

Safety in Hazardous Environments

Energy facilities contain zones where a single spark can be catastrophic. XyromOS is designed to operate safely in ATEX-classified areas with integrated gas detection, isolation procedures, and cybersecurity hardening.

ATEX zone detection — robot adapts operating mode when entering classified zones
Hydrogen and methane leak sensor integration — automatic safe-stop on detection
Remote SCADA safe-stop — operators halt robots instantly from control room
Automated isolation procedures — robot follows isolation sequence before entering live zones
IEC 62443 security baseline — network segmentation, encrypted comms, signed firmware
Cybersecurity hardening — no unnecessary open ports, signed OTA updates, tamper detection

🔥

ATEX Zone Aware

Robot automatically applies ATEX-appropriate operating mode when zone boundary is crossed.

💨

Gas Detection

H₂, CH₄, and VOC sensor integration. Immediate safe-stop and alert on threshold breach.

🔐

IEC 62443

Baseline cybersecurity hardening. Segmented networks, encrypted telemetry, signed firmware.

🔒

Isolation Procedures

Automated LOTO-aware isolation sequence before robot enters live electrical or process zones.

Asset Management

Predictive Maintenance Module

XyromOS doesn't just inspect assets — it analyses findings over time to predict failures before they happen. Structured inspection data feeds directly into your CMMS for scheduled work orders.

Motor vibration analysis — FFT-based bearing wear and imbalance detection
Thermal anomaly detection — trending hot-spots over successive inspections
Corrosion scoring — camera-based corrosion extent and rate estimation
CMMS integration — SAP PM, IBM Maximo, ServiceMax work order creation
Scheduled maintenance escalation — auto-creates work order when score exceeds threshold
Asset health timeline — view any asset's inspection history and trend trajectory

Predictive Maintenance — Asset Health

Pump P-142 — Bearing Wear Critical

Vibration trending +34% over 30 days | WO auto-created in SAP PM

Transformer T-08 — Hot Spot Warning

72°C on bushing — 8°C above baseline | Monitor weekly

Pipeline Seg. 14-22 — Corrosion Stable

Score 2.1/10 | Rate: 0.08mm/yr | Next due 2027-Q3

Developer SDK

Inspection Telemetry, Pushed in Real Time

XyromOS inspection sessions stream structured telemetry per asset, per frame. Every finding is georeferenced, tagged to an asset ID, and available via the portal or API within seconds of capture.

Per-panel / per-asset georeferenced finding records
Multi-channel capture: RGB, thermal, IR in one pass
AI-assisted anomaly checks run on-edge, results streamed to fleet portal
UR/Doosan cobot arms for maintenance operations (ISO/TS 15066 path)
Inspection drones via ROS2 bridge; Spot-class quadrupeds supported
Auto-generated reports ready within minutes of session completion

Inspection Telemetry Push — Python SDK

# XyromOS — inspection telemetry push
from xyromos import InspectionSession

session = InspectionSession.create(
    asset_id="solar-array-B",
    robot_id="drone-inspect-04"
)

for panel in session.asset.panels():
    frame = session.robot.capture_frame(
        channels=["rgb", "thermal", "ir"]
    )
    findings = session.analyze(
        frame,
        checks=["soiling", "micro-crack",
                "bypass-diode"]
    )
    # auto-push telemetry per panel
    session.telemetry.push({
        "panel_id":  panel.id,
        "timestamp": frame.timestamp,
        "findings":  findings,
        "gps":       frame.gps_coords
    })

report = session.generate_report()
print(f"Report ready: {report.url}")

Applications

Built for real energy deployments

🌬️

Wind Turbine Blade Inspection

Drone and tethered robots inspecting blades for erosion, lightning strike damage, and adhesive bond line failures — without turbine shutdown.

☀️

Solar Farm Panel Cleaning

Autonomous cleaning robots restoring panel output. XyromOS tracks cleaning routes, water usage, and pre/post cleaning yield delta.

🛢️

Oil & Gas Pipeline Crawlers

In-line inspection tools and external crawlers detecting wall thinning, stress corrosion cracking, and coating failures in live pipelines.

⚡

Substation Patrol Robots

Wheeled ground robots patrolling substations on regular cycles — thermal imaging, visual inspection, and SF6 gas leak detection.

☢️

Nuclear Facility Remote Inspection

Remotely-operated robots for inspection tasks in radiation-controlled areas — CCTV, dose measurement, and structural assessment.

XyromOS for Energy —Robots in the Field, Not the Toolbox