Industrial Internet of Things and Streaming Sensor Analytics

Equipment Monitoring and Maintenance

The expansion of connected sensor data creates new business opportunities for monitoring machine performance and failures in the field and on the factory floor.  Service organizations have up-sell opportunities to offer options to their customers for maximizing value of their assets. Manufacturers can increase uptime, minimize costs, and optimize processes for expensive equipment on the factory floor. Spotfire® helps organizations optimize maintenance schedules by monitoring and responding to key signals in sensor data. In general, fixed assets? vehicles, plants, and machinery, communication devices and computers, and even buildings, are becoming smarter. But they are also becoming more complex and more costly to repair. Spotfire can help you understand these machines more fully, monitor them in real time, and react faster to impending issues.

Spotfire® supports the following maintenance use cases:

• Remote equipment monitoring
• Predictive maintenance with real-time alerting
• Minimizing scheduled maintenance costs 
• Root cause analysis of equipment failures.

Read the Machine sensor and maintenance analytics data sheet 

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Read the Accessing PI Data in Spotfire - Analyze OSIsoft PI System data, mashed up with other data sources and visualized within Spotfire, to bring new, rich insights into product quality, operations, distributed assets, and the Internet of Things.

To learn more:

• Download and try out the Intelligent Equipment Accelerator on the Community Exchange
• Read Whitepaper on Product and Process Improvement Using Machine Learning Techniques