Making Big Data Small and Relevant
Edge Analytics software allows data produced by sensor-rich assets like machines, equipment, and devices to be pre-processed in real-time closer to where it is created.
There are several technical and business drivers and benefits with Crosser Edge Analytics architecture, including:
Significant data reduction by removing dirty data and irrelevant data. Get significant cloud, analytics
Innovate with more Data
Edge Analytics allows you to collect more data points without increasing your cost of data. More data - more innovation possibilities.
Transform Raw Data to Insights
Collect raw data, transform it, analyze it and act on the insights in real-time.
Local Intelligence and Automation
Run local triggers between machines or PLC’s with ultra-low latency. Runs autonomously without cloud connectivity.
Typical Deployment Scenarios
The Edge Analytics software is deployed on an IoT gateway on a remote unit, or embedded, and processes the sensor data from that single unit.
Field Edge Aggregation
Also called Fog Computing. The Edge Analytics software is typically deployed on an IoT gateway and processes the sensor data from multiple field units.
Typically on a factory shop floor or building with multiple machines. The Edge Analytics software is installed on a server/virtual machine and processes sensor data from multiple on-premise machines and data sources.
Business case objectives and use-cases
Edge Analytics is a key layer in the Industrial IoT or Industry 4.0 technology stack.
Smart and cost-efficient data collection and analytics is a fundamental part
No data. No party
Getting access to relevant data in a central location, either cloud or data center,
is the fundamental starting point to enable these main use-cases and meet the business objectives.
Crosser Edge Analytics solution is purpose-built to address the key challenges for Industrial IoT, including:
Factory floor challenges
- A high number of sensor tags - constant changes
- Many data sources: PLC, DCS, MES, Historians, and databases
- Many protocols: OPC, Modbus, MQTT, SCADA and more
- Separated networks
- OT and IT team collaboration
Remote Condition Monitoring Challenges
- Moving from basic telemetry to monitoring all subcomponent
- How to collect more data but transfer less?
- Limited and costly connectivity
- Unreliable and intermittent connectivity
- Managing a large volume of assets inside firewalls