Description
OpenDatalogger is an AI-powered industrial analytics platform designed specifically for manufacturing and process industries, enabling real-time monitoring, anomaly detection, and predictive maintenance for industrial equipment and operations. The platform combines edge computing capabilities with advanced machine learning to analyze sensor data directly at the source, providing immediate insights while reducing data transfer needs. With its specialized algorithms for industrial time-series data and integration with operational technology systems, OpenDatalogger helps manufacturing organizations improve equipment reliability, reduce downtime, and optimize production processes through intelligent data analysis.
Key Features
- Industrial sensor data analytics
- Edge-based machine learning
- Predictive maintenance algorithms
- Real-time anomaly detection
- OT/IT integration framework
Use Cases
- Manufacturing process optimization
- Equipment failure prediction
- Quality control automation
- Energy consumption optimization
- Industrial IoT analytics
Pricing Model
Hardware-software combined subscription
Integrations
Industrial control systems, SCADA platforms, Manufacturing execution systems, Enterprise asset management, Industrial IoT platforms
Target Audience
Manufacturing engineers, Plant operations managers, Maintenance professionals, Industrial data scientists, Production quality teams
Launch Date
2018
Available On
Edge computing devices, Industrial gateways, Cloud analytics platform
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