Product Overview: Falkonry CLM (Continuous Learning Machine)
Falkonry CLM is a cutting-edge, time-series AI platform designed to enhance the operational efficiency and decision-making capabilities of industrial facilities, manufacturing plants, and other complex operational environments.
What Falkonry CLM Does
Falkonry CLM is engineered to analyze vast amounts of multivariate, time-series data generated by industrial operations. It automates the process of discovering, predicting, and explaining behavioral patterns in real-time, enabling operations personnel to make informed, data-driven decisions. This AI-driven approach helps in identifying anomalies, faults, and excursions, and provides detailed explanations to facilitate prompt and precise actions.
Key Features and Functionality
Automated AI Analysis
- Falkonry CLM continuously monitors the entire operating environment, connecting to various industrial data sources such as automation, sensor, IIoT, telemetry, SCADA, PLC, and machine data. This integration is achieved through built-in connectors using protocols like OPC UA or MQTT, and can also work with historians like OSIsoft PI systems.
Multivariate Pattern Discovery
- Unlike univariate or rule-based approaches, Falkonry CLM uses a multivariate, time-series pattern-based method to identify complex and subtle changes in behavior across multiple subsystems. This approach can detect sudden or non-continuous changes that other methods might miss.
Real-Time Visibility and Alerts
- The platform provides real-time visibility into factors affecting availability, performance, and quality. It alerts users to potential issues before they impact business operations, allowing for proactive maintenance and reducing unplanned downtimes.
User-Friendly Interface
- Designed for operational experts, Falkonry CLM offers an intuitive interface that requires no data science expertise. It allows users to rapidly scale use cases without the need for expanding data science teams.
Anomaly Detection and Root Cause Analysis
- The system detects anomalous behaviors and provides anomaly heatmaps to prioritize actions based on severity. It also enables comparative analysis with benchmark conditions and past occurrences, and documents assessments and actions through case reports for collaboration and faster resolution.
Predictive Maintenance and Quality Control
- Falkonry CLM predicts equipment failures and quality issues weeks in advance, enabling preventive maintenance and reducing unnecessary maintenance cycles. It also helps in real-time quality prediction, such as differentiating between good and bad welds in automotive manufacturing.
Scalability and Deployment Flexibility
- The platform can be deployed in various environments, including cloud, data center, edge, and on-premise. It supports up to 1,000,000 sensors and can process a year’s worth of data in less than 60 minutes, making it highly scalable and flexible.
Integration and Collaboration
- Falkonry CLM offers streamlined integration with external IT systems through REST APIs, ensuring seamless data integration and collaboration across different teams and systems.
Benefits
- Improved Uptime and Yield: By predicting equipment failures and process issues, Falkonry CLM helps in maintaining optimal production conditions and reducing downtime.
- Enhanced Decision Making: The platform provides actionable insights and explanations, enabling operations personnel to make smarter decisions.
- Reduced Costs: It minimizes the need for extensive data science teams and reduces costs associated with unplanned downtimes and rework.
- Increased Efficiency: Falkonry CLM automates many analytical tasks, saving time for operations personnel and improving overall efficiency.
In summary, Falkonry CLM is a powerful AI solution that leverages advanced time-series analysis to drive operational excellence, predict potential issues, and enhance decision-making capabilities in industrial and manufacturing environments.