Author: Ori Shadmon
ScheduleA Meeting FogLAMP easily and cost-effectively connects literally tens of thousands of different sensors and other equipment typically deployed in industrial settings. As summarized below, while function and equipment category framing will vary by manufacturer or reseller: a. Review any third-party sensor catalog or website b. Choose your desired category or function Then, let Dianomic […]
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Optimizing machine operations using Industrial IoT Fledge with Google Cloud, ML and state-of-the-art digital twins and simulators
“Fledge” is an open-source framework used to implement predictive maintenance, situational awareness, safety, and other critical operations. Deployed in industrial use cases since early 2018, Fledge integrates IIoT, sensors, machines, ML/AI tools-processes-workloads, and cloud with the current industrial production systems and levels (ISA-95).
SAN FRANCISCO – July 30, 2020 – LF Edge, an umbrella organization within the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, today announced maturing of its Fledge project, which has issued it’s 1.8 release and moved to the Growth Stage within the LF Edge umbrella. Fledge is an open source framework for the Industrial Internet of Things (IIoT), used to implement predictive maintenance, situational awareness, safety and other critical operations. Deployed in industrial use cases since early 2018, Fledge integrates IIoT, sensors, machines, ML/AI tools-processes-workloads, and cloud/s with the current industrial production systems and levels, as per ISA-95.
Harper DB and Dianomic Systems Collaborate to Enhance Edge Industrial Solutions
