IoT

Overview

Harness the OT data needed to improve
industrial operations at the edge and across the enterprise. Litmus Edge is the Industrial IoT platform purpose-built for Industry 4.0. With instant connectivity to hundreds of OT assets, Litmus Edge makes it easy to harness the OT data needed to power insights at the edge and across the enterprise. From data collection and machine analytics to application enablement and data integration, Litmus is a complete IIoT platform that is rapid-to-deploy and easy-to-use, offering everything you need to improve operations at scale.

What is the Edge?
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One Industrial IoT Platform – Many Capabilities

  • Collect Machine Data

    With 250+ pre-built drivers, Litmus can connect to any machine
    or industrial system out-of-the-box, then structure it into
    a common format ready for use by edge and enterprise applications.

    • Any asset – PLC, DCS, SCADA, Historian, ERP
    • Pre-loaded drivers, no programming required
    • Normalize hundreds of custom data points
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  • Analyze Data

    Monitor and analyze machine data with ready analytics and
    custom data visualizations for condition based monitoring,
    predictive maintenance, OEE optimization and more.

    • Analyze data at the edge for instant value
    • Pre-built analytics dramatically reduce setup time
    • Utilize Grafana open source-based dashboards
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  • Share Data with Enterprise Systems

    Immediately feed ready-to-use machine data to any cloud or
    enterprise application to achieve a complete edge-to-cloud
    data picture for OT, IT and Data teams.

    • Normalized data ready for use by any application
    • Simple drag-and-drop editor to send data anywhere
    • Pre-built connectors to integrate to cloud systems
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  • Run Applications

    Host and access public or private applications in a centralized
    repository with the ability to rapidly and securely deploy
    and run applications at the edge.

    • Access a default set of 45+ pre-loaded applications
    • Deploy container-based applications with one-click
    • Zero-touch provisioning and mass management
    #
  • Manage Deployments

    Achieve a single point of control to view and manage a complete
    picture of edge devices, data, applications and deployments at
    scale with Litmus Edge Manager.

    • Visualize data from all devices and factories
    • Bring in and manage any digital twin or data model
    • Create an ideal configuration template to use on any line or site
    #

One Industrial IoT Platform – Many Capabilities

  • #
    Collect Machine Data

    With 250+ pre-built drivers, Litmus can connect to any machine
    or industrial system out-of-the-box, then structure it into
    a common format ready for use by edge and enterprise applications.

    • Any asset – PLC, DCS, SCADA, Historian, ERP
    • Pre-loaded drivers, no programming required
    • Normalize hundreds of custom data points
  • #
    Analyze Data

    Monitor and analyze machine data with ready analytics and custom data visualizations for condition based monitoring, predictive maintenance, OEE optimization and more.

    • Analyze data at the edge for instant value
    • Pre-built analytics dramatically reduce setup time
    • Utilize Grafana open source-based dashboards
  • #
    Share Data with Enterprise Systems

    Immediately feed ready-to-use machine data to any cloud or
    enterprise application to achieve a complete edge-to-cloud
    data picture for OT, IT and Data teams.

    • Normalized data ready for use by any application
    • Simple drag-and-drop editor to send data anywhere
    • Pre-built connectors to integrate to cloud systems
  • #
    Run Applications

    Host and access public or private applications in a centralized
    repository with the ability to rapidly and securely deploy
    and run applications at the edge.

    • Access a default set of 45+ pre-loaded applications
    • Deploy container-based applications with one-click
    • Zero-touch provisioning and mass management
  • #
    Manage Deployments

    Achieve a single point of control to view and manage a complete
    picture of edge devices, data, applications and deployments at
    scale with Litmus Edge Manager.

    • Visualize data from all devices and factories
    • Bring in and manage any digital twin or data model
    • Create an ideal configuration template to use on any line or site

How Edge-to-Enterprise Industrial IoT Works

Industrial IoT requires seamless and secure edge-to-enterprise data flow.
With Litmus, IT and OT teams work together to connect all machines and start collecting data.
Data is stored and analyzed at the edge, where OT teams can use it to increase uptime and efficiency,
and IT can define what data to send to cloud and enterprise systems. There, data teams perform deep analysis,
build models and deploy them back at the edge to improve operations over time.

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Litmus Edge Architecture

Litmus Edge is an all-in-one Industrial IoT platform designed to unify all OT data,
put that data intelligence to work to power applications, and scale seamlessly with centralized management.
The flexible Litmus Edge architecture lays the foundation for complete, secure,
enterprise-scale data flow to enable any IIoT use case and improve operations at scale.

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What is the Edge?

What is Industrial Edge Computing?

The edge brings computing as close to the data source as possible. Industrial edge computing is connecting
all assets used in manufacturing, oil and gas, energy, or transportation and processing that data locally.
Running fewer processes in cloud and enterprise systems and moving them closer to the devices generating
data transforms the way data is handled, processed, and delivered for immediate business benefits.

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Many companies have taken a cloud-first approach to digital transformation, without properly considering the importance of the edge. Gartner estimates that installed IoT endpoints in the manufacturing and natural resource industries will grow to 1.9 billion units by 2028. Data volumes are only going to continue to multiply, and higher volumes of data being sent to the cloud means increased latency and costs. The edge not only complements the cloud by offsetting some of those challenges, but also activates key use cases and applications that are better hosted on-premise.

  • Faster Insights

    Cloud has its place for long-term analysis, but the value of industrial edge computing lies in making use of the data at the asset, where it has the greatest impact and zero latency.

  • Immediate Action

    Edge computing allows companies to collect data, analyze it at the edge, and then take immediate action to solve maintenance problems, increase efficiency, improve production, and more.

  • Preserve Bandwidth

    Networks and infrastructure haven’t quite caught up to the data explosion, so utilizing edge computing to only send the data that is needed to the cloud saves time and money.

  • On-Premise Use Cases

    The cloud makes sense for machine learning and other long-term or big data analysis, but the edge activates on-premise use cases like condition-based monitoring and OEE for quick ROI.

The edge has three main components. Edge connectivity is the ability to connect to any industrial system and collect and normalize data for immediate use Edge intelligence is concentrating data processing and analytics functions at the edge to take action and derive value at the data source. Edge orchestration is the ability to create, deploy, manage and update edge applications.

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The industrial edge has matured rapidly, and most factories have achieved some level of connectivity. However, the ideal edge strategy takes all three of these components into account, activating the edge for device connectivity, data collection, real-time analytics, application orchestration, integration to cloud and enterprise systems, and running machine learning models at the edge. A modern edge platform bridges the gap between industrial devices at the edge and advanced analytics in the cloud.

The vast importance of the edge is beginning to come to light as more industrial use cases are enabled. Industrial edge computing powers preventative maintenance, asset condition monitoring, OEE, vision systems, quality improvements and more. Edge data also powers more advanced use cases like artificial intelligence and machine learning in the cloud.

Many companies are either sending all of their data to the cloud or keeping it at the edge, they don’t know how to effectively do both. Edge and cloud technologies need to work together. As companies continue to embrace digital transformation, Industry 4.0, Smart Manufacturing, and all of the advanced use cases those initiatives bring with them, they will recognize the importance of the edge and the cloud working in harmony to drive intelligent business decisions.

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Want to learn more about how an Industrial IoT Edge platform works?

Watch the Litmus On-Demand Demo now.