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OTech, a new software company established with a vision to "build and deploy the pervasive, open, and software-defined compute infrastructure for the Industrial IoT edge" and founded by industry-acknowledged leaders and specialists in real-time software platforms for edge and fog systems, today announced it was joining the Linux Foundation's EdgeX Foundry™ open source project as a founding member. With its specialist Operational Technology (OT) and Distributed Real Time and Embedded (DRE) skills base, IOTech will be a major contributor to EdgeX Foundry™ and will support the project's rapidly growing global developer community and partner ecosystem by providing a vendor-neutral source of fully commercialized versions of the EdgeX code base. IOTech will also provide a range of services for partners and customers that don't want to productize or support the code themselves or have the skills or resources to integrate their software and hardware assets.
In this video, we will demonstrate how you can use PROFINET to communicate with IO device sensors using the PROFINET Device Service connector - this is a new device service that allows IOTech's Edge Xpert platform integrates to PROFINET systems. Aligned with IOTech's edge computing solutions, one major domain where large scale edge computing is expected to be adopted in the near future is manufacturing. Industrial Ethernet-based technologies such as PROFINET, S7 and EtherNet/IP, etc. are playing a key role in enabling connectivity to support device monitoring and control. Edge computing helps manufacturers turn the vast data sets generated by machines into insightful and actionable data. It does so by utilizing resources connected to a network, such as temperature sensors, alarms or motor drives. This in turn enables big data analytics to be performed at the source of the data; thereby transforming current manufacturing processes into next-generation IoT enabled smart manufacturing.
Edge XRT v1.1 adds configurable OT and cloud connectivity options, improved tooling and comprehensive support for Microsoft's new generation of Azure Sphere embedded MCUs. Edge XRT greatly simplifies the development of time-critical IoT systems at the edge and enables application portability, improved supportability and faster time-to-market for new IoT edge applications. Edge XRT runs on commodity hardware, independent of the silicon provider and operating system, and has complete deployment flexibility. It can be deployed as a native application, containerized and/or into a virtualized environment. With its small memory footprint and efficient use of computing resources, Edge XRT is suitable for microcontroller-based IoT applications, including instrumentation and equipment monitoring, automobile engine management systems, medical devices, home automation and consumer electronics.
IOTech has been a member of the Linux Foundation's EdgeX Foundry project since its inception in 2017. IOTech is now a member of LF Edge - an umbrella project for open source edge software that includes EdgeX Foundry.
The emergence of Multi Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identifed as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of many new applications and services with demand for ultra-low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations.
Edge computing has become the key ingredient in the smart manufacturing formula to accelerate digital transformation. Edge computing helps manufacturers turn vast data sets, generated by machines, into insightful and actionable data. It does so by utilizing resources connected to a network, such as temperature sensors, alarms or motor drives. This enables big data analytics to take place at the source of the data in smart factories and industrial automation
Edge computing focuses on the processing of operational data at the edge of the network. That means performing data collection functions and running decision making and control algorithms as close to the edge sensors and OT devices as possible. However, it is also clear that cloud computing continues to provide much value in the Industrial IoT space. This means that most systems require a hybrid solution consisting of both edge and cloud components working together in a cohesive way. Users require the ability to utilize cloud resources for heavy-duty applications, while using edge computing for lighter-weight processing and local, real-time insights. IOTech's edge software products enable seamless yet secure data sharing between your edge and cloud environments.
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Tel: +44 (0)191 814 2220
, edge computing, internet of things, IoT, Industrial IoT