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    Belden + Edge2Web Energy Use Optimization Starter Kit

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    Sold by: Belden 
    Belden + Edge2Web Energy Use Optimization is a rapid-deploy energy monitoring starter kit for manufacturers—securely acquire and contextualize OT energy data with Belden’s CloudRail solution, ingest into AWS IoT SiteWise, and visualize consumption/cost KPIs using Edge2Web no-code dashboards with GenAI-assisted insights. Typically, data is flowing and visible in dashboards within hours.

    Overview

    The Belden + Edge2Web Energy Use Optimization starter kit helps industrial teams deploy secure, scalable energy monitoring. It combines Belden’s CloudRail solution for OT data acquisition, normalization, contextualization, and secure transfer, with AWS IoT SiteWise for industrial data ingestion and modeling, plus Edge2Web Power Tools for no-code KPI creation, dashboards, scorecards, and GenAI-driven recommendations. Start small and scale fast.

    The starter kit is designed to minimize complexity and accelerate time-to-value. In typical deployments, once the meter is installed and connected, data is flowing to AWS and appearing in dashboards within a few hours, enabling energy visibility across facilities, departments, lines, and machines—scaling using the same repeatable pattern.

    Key features

    OT data acquisition + contextualization (edge)

    • Plug-and-play edge connectivity of smart meters and industrial sensors to AWS IoT
    • Automated data normalization and contextualization to reduce manual effort
    • Secure, end-to-end encrypted transfer from plant floor to AWS IoT SiteWise

    Built-in Energy KPIs and visualizations

    • Pre-configured energy consumption/cost KPIs, scorecards and dashboards
    • Usage visibility across machines, lines, sites, and multi-site operations
    • Easy no-code extendibility enables tailored insights for different stakeholders

    GenAI-driven guidance

    • GenAI tools leveraging Amazon Bedrock provide best practices and recommendations for energy optimization
    • AI-powered summaries, alerts, and playbooks to accelerate response

    Reference Architecture Data flow

    1. Acquire & normalize OT data using Belden CloudRail at the edge
    2. Ingest data into AWS via AWS IoT SiteWise
    3. Compute KPIs using Edge2Web Power Tools
    4. Visualize via prebuilt dashboards and scorecards
    5. Optimize using GenAI-driven recommendations and playbooks

    Deployment Starter kit (Bill of Materials)

    • Edge2Web Subscription (sold bundled)
    • CloudRail Subscription
    • Belden OpEdge-4D industrial edge gateway running CloudRail.OS
    • Belden RPS 30 industrial power supply
    • Belden Ethernet Cable RJ45–RJ45
    • Customer-provided smart energy meter/device (recommended example: Siemens PAC3200)

    Highlights

    • Fast time-to-value: energy monitoring data flowing and visible in dashboards within a few hours (typical)
    • No-code customization and GenAI assistance: create and extend KPIs, dashboards, scorecards without programming; AI-powered summaries, alerts, and digital playbooks to speed interpretation and action
    • Secure edge-to-AWS integration via AWS IoT SiteWise to support governance and data accessibility; OT-ready connectivity with broad protocol support for every smart meter and IO-Link sensor (CloudRail ecosystem)

    Details

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    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    • Level 1 Professional services-led onboarding, configuration, and initial rollout
    • Troubleshooting for connectivity, ingestion, KPI validation, and dashboard activation
    • Optional expansion support from single machine/line/site to multi-site operations
    • Reach out: partner.ecosystem@belden.com  for inquiries

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