Insights Hub Edge Analytics is an edge application that collects and preprocesses high and low frequency data, corelates the data and performs out of the box analysis as well. Additionally, custom KPI calculations can be designed using a large library of analyzing functions.

Insights Hub Edge Analytics makes it possible to perform Condition Monitoring and as a result receive valuable information like the health status of machines or the performance of a production process. After preprocessing, the calculated data is then uploaded to Insights Hub.

Condition Monitoring is used for condition-based maintenance of machines, processes, and complete plants. The intention is to avoid unplanned downtimes to increase production line and plant availability. Therefore, a cyclic or permanent measurement and analysis of data is performed. Physical quantities could for example include temperature, speed, torque, vibration, pressure or current. Here the performance requirements regarding sensors and connectivity are usually very high. This applies especially to rotating equipment, where mechanical vibrations are used to determine the condition. The vibration signal provides information about the load of a machine and evolving faults. Streaming data from manufacturing machines, industrial equipment, and other connected devices creates a massive amount of data. Preprocessing and analysis at the edge provides cost benefits and reduces latency.

Insights Hub Edge Analytics Engine provides:

• Access to Insights Hub Edge Analytics 
• Usage of a freemium mode to configure an Edge Device to stream up to 5 data points for a repeatable 7 days period

• Improved asset availability through predictive maintenance.
• Use of preconfigured KPIs as well as intuitive creation of customized workflows for KPI calculation 
• Data preprocessing at the edge level: analysis, aggregation, filtering – and upload of the preprocessed data in order to visualize and analyze it further.

• Acquisition of high dynamic signals from a variety of data sources – with sampling rates up to 46,875 kHz.
• Local data buffering in memory of the Edge Device for analysis and aggregation 
• Vibration analysis with a highly scalable system.
• Operating state detection with Trigger Rules
• Usage of out of the box calculations for different categories
• Vibration KPIs: RMS, Peak-Peak, Zero-Peak, Crest Factor
• Vibration Frequency/Order Spectra: Spectrum Acceleration, Spectrum Acceleration Envelope, Spectrum Velocity
• General data statistics: Minimum, Maximum, Average, Peak-Peak, Rate of change (Dynamic)
• Range Check: Minimum Extent, Maximum Extent
• Periodic Data Upload
• Event Based Data
• Upload
• Connectivity: Condition Monitoring Systems (CMS1200), MindConnect for Data Sources (S7 PLCs with Put/Get, OPC UA Modbus TCP data, Modbus RTU (RS232, RS485, RS422), Rockwell Protocol
• Data visualization with the Complex Data Plugin for Operations Insight and Fleetmanager
• Data uploaded by Insights Hub Edge Analytics Engine can further be processed with any out-of-the-box of custom application (data can be accessed via standard APIs)