Operation Maintenance
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The Operation Maintenance solutions provide management and monitoring systems for industrial assets. These systems utilize IoT sensors, AI vision, and machine learning to digitize legacy equipment indicators, execute computerized maintenance management (CMMS), and predict mechanical failures based on real-time telemetry data.
Legacy Data Digitization: Extract quantitative data from analog meters, digital displays, and status lights using AI vision and OCR without hardware modifications,.
Work Order Management: Schedule, allocate, and track maintenance tasks, personnel, and spare parts inventory within a centralized CMMS platform.
Telemetry Monitoring: Collect real-time operational parameters including temperature, humidity, vibration, and acoustic signals using IoT sensors.
Anomaly Detection & Prediction: Apply machine learning models to historical and real-time data to identify mechanical degradation and predict failure events.
Process Parameter Control: Utilize reinforcement learning models to dynamically adjust machine parameters (e.g., drum speeds, heating modes) based on environmental states.
A camera-based AI vision and OCR system that extracts readings from analog meters, digital displays, and indicator lights on legacy industrial equipment.
A digital platform for scheduling maintenance workflows, managing work orders, and tracking asset inventory and operational status.
An IoT and machine learning system that analyzes real-time telemetry data (vibration, acoustics, temperature) to detect anomalies and forecast mechanical failures.
A reinforcement learning control system that automates machine operations and adjusts parameters to optimize the drying process.
Monitor operational telemetry and manage maintenance schedules for heavy machinery, assembly lines, and robotic arms to prevent production halts.
Track performance and digitize analog indicators of commercial building infrastructure, including HVAC, chillers, and electrical cabinets.
Monitor essential assets such as generators, UPS systems, and high-voltage transformers to maintain continuous power generation.
Track maintenance schedules and detect mechanical deterioration in transport fleets, forklifts, and automated sorting systems.