The next webinar in our edge series will focus on digital twins and dynamic virtual models of physical assets. Specifically, how to implement digital twins with an edge-to-cloud architecture based on MQTT and ThingWorx.
The configuration of IIoT devices is a complex issue that is often not considered when companies select an IIoT solution. The Internet of Things has transformed digital twins, virtual representations of physical objects, from a theoretical concept to a practical strategy – especially within the industrial sector.
Digital Twin refers to a digital representation of a real-world data system consisting of possibly multiple data sources/producers and/or destinations/consumers (data agents). The key to creating digital twins is connectivity. For example, how do you synchronize the state of machines in a factory with virtual models in the cloud? MQTT is fast becoming the de facto standard for publishing and consuming Industrial IoT (IIoT) data. ThingWorx has long been the leading IIoT platform for digital twins and more.
FairCom EDGE is best deployed within factories, farms, buildings, etc. while ThingWorx is a great fit for the cloud. Together, you have the perfect edge-to-cloud architecture. In this webinar, we’ll explain how to create digital twins by collecting machine data with MQTT, creating virtual models in ThingWorx, and synchronizing them with FairCom EDGE.
Register now to learn more about these topics:
- Unlocking machine data with MQTT
- Working with digital twins in ThingWorx
- Synchronizing machines with virtual models
In our latest of the FairCom EDGE webinars, we’re going to discuss edge-to-cloud architecture with MQTT + ThingWorx. To be more specific, how to collect machine data at the edge with MQTT and use it to update digital twins in the cloud.
FairCom EDGE and ThingWorx are a powerful combination for Industrial IoT and digital twins solutions. We hope you’ll be able to join us
Duration: 1 hour, 2 minutes
