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Dianomic’s FogLAMP Suite 3.0 delivers live digital twins through intelligent industrial data pipelines unifying real-time data from machines and sensors for both brownfield and greenfield deployments. Unlike cloud-only data pipelines, FogLAMP establishes a plant-wide data fabric, ensuring secure, normalized streaming data flow between the plant floor and cloud. This empowers AI-driven applications, digital twins, and OT/IT convergence. With features like role-based access control and flexible development tools, FogLAMP facilitates seamless collaboration and empowers both IT and OT teams to optimize operations and drive innovation with unprecedented speed and precision.
Industrial computing solutions specialist Dianomic Systems and embedded machine learning pioneer Boon Logic have announced a strategic partnership to deliver faster, more scalable anomaly detection for thousands of performance metrics across a wide range of industries, along with real-time data quality inspection before data is sent and stored in systems of record, operational systems or […]
Dianomic will deliver FogLAMP, its open source industrial IoT platform, on Google Cloud to help customers build edge applications that connect, buffer, and process machine data, and execute edge-based machine learning.
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
Fledge was first developed by Dianomic Systems and is one of the projects under the LF Edge consortium. An open-source IIoT framework, Fledge us used to collect and process data from sensors to leverage machine learning models to eliminate data silos and create a unified method for developing, managing and securing IIoT applications.
Data security isn’t just a good idea; it’s a regulatory requirement in critical infrastructure such as power plants. “In many industries, data never goes north of the firewall,” Tom Arthur, CEO of IoT software developer Dianomic says. “All of that operational data is staying south of everything. That is generally all about security.”
Linux Foundation’s Fledge Project a recommended edge framework for industrial users, system integrators and equipment suppliers.
