Moving Sensor Data From Factory Equipment Using MQTT, Modbus, and OPC-UA to the Cloud
20th May 2020
12:00 PM Eastern Daylight Time
In order to develop efficient IoT solutions, you need data. Especially in the context of using AI and Machine Learning frameworks to help with determining predictive maintenance for your important industrial equipment.
In this webinar, we will review the various ways you can collect and store sensor data using powerful protocols such as MQTT, Modbus, ORC-UA, and even Kafka in your traditional or modern cloud-native deployments. Not only does it help with higher data collection, but these protocols help reduce network bandwidth requirements leading to lower total cost of operations.
- Why the vast range of sensors and devices to collect data it’s too broad for any single commercial vendor to support.
- How open source software technologies can let you connect a broader set of sensors & devices to time-series data historians.
- Potential combinations of open source software for IIoT Edge use cases
Chris Churilo, Director of Product Marketing, InfluxData
Chris Churilo is responsible for Product Marketing at InfluxData. Prior to joining InfluxData, she defined and designed a SaaS monitoring solution at Centroid, and prior to that she was the VP of product management at iPass and was the LOB for several cloud services that required her to track the business and operational metrics and analytics to help identify and resolve issues.
Craig Hobbs, Sales Engineer, InfluxData
Craig Hobbs is a Sales Engineer at InfluxData. His experience with keeping systems performant over the years has helped to shape the kind of Sales Engineer he is today—one who enjoys solving complex problems and keeping sales people honest. His specialties include: Solution Architect, Project Management, POC Design and Development, Software Customization, Technical Training, ETL Automation, Application Integration and Deployment. Craig has a BS from the University of Illinois.