Runiq
Runiq analyzes data from machines in real-time to predict potential failures in advance. This optimizes your maintenance processes, reduces downtime, and provides cost advantages. Monitor all your devices from a single screen, see critical alarms instantly, and make the right decisions.
Features
Runiq collects sensor and machine data in real-time, predicts anomaly/failure risks in advance with AI. Manages maintenance processes on a single panel with alarm, chart/comparison and work order integration.
Sensor & Machine Integration
Collects data from vibration, temperature, pressure, etc. sensors; connects to lines, machines and PLCs via OPC-UA/Modbus/MQTT.
AI Prediction
View instant anomaly/failure probability and recommended action with "AI" action.
Measurement List
Review timestamped records by machine/device with alarm status.
Chart Panel
Visualize acceleration-position-spectrum and time series on X/Y/Z axes.
Alarm Management
Define alarms with min-max thresholds and descriptions; keep updated by editing and deleting.
Machine Cards
View the entire line on one screen with status badges (Critical/Warning/Normal) and quick actions.
Benefits
Reduces unplanned downtime, lowers maintenance and inventory costs. Enables data-driven, rapid decision-making with measurable KPIs and clear reports.
Reduces Unplanned Downtime
Turns failures into "maintenance first" planned approach; increases production continuity.
Reduces Maintenance & Inventory Costs
Apply "need-based" maintenance instead of "when it breaks"; prevent unnecessary part replacement.
Data-Driven Decision
Develop the right strategy with transparent KPIs, traceable records and clear reports.
Fast Deployment
Spreads quickly throughout the facility with wireless/wired switchable and flexible infrastructure.
Increases Safety and Quality
Minimizes workplace safety risks by early notification of critical errors. Provides traceable and accurate decision-making opportunities for practitioners.
Technical Specifications
Edge + cloud hybrid architecture, data collection via OPC-UA/Modbus/MQTT and advanced analysis including FFT/RUL. CMMS/ERP integration, two-way REST API and TLS/RBAC security for enterprise scale.
Architecture
Edge gateway + cloud/on-prem hybrid; latency-sensitive analysis at edge, long-term modeling at center.
Protocols
OPC-UA, Modbus/TCP-RTU, MQTT, HTTP(S), REST/Webhook; CSV/Excel import.
Data Processing
High-sample vibration (time-series), FFT/cepstrum, statistical features and windowing.
Modeling
Anomaly detection, classification, regression and RUL prediction; model versioning and A/B comparison.
Analysis & AI
FFT/cepstrum, statistical features, anomaly detection, failure probability and RUL (Remaining Useful Life) prediction; model versioning.
Operations & Sustainability
Multi-tenant structure, role-based dashboards, automatic backup, OTA updates and health monitoring.
Predictive Maintenance and Analysis on a Single Platform
Collect sensor data in real-time with Runiq; predict failures before they occur with AI-supported predictions, run planned maintenance and reduce downtime.
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