Listing Thumbnail

    AMP (Asset Monitoring and Predictive) Deployable IoT MVP

     Info
    AMP by Storm Reply is a deployable and repeatable IoT solution aimed at enabling clients adoption of AWS IoT services and realize the business benefits of their IoT use cases for Asset Monitoring and Predictive. AMP includes: - Pre-configured industrial PC for Edge compute and sensor connectivity - Pre-integrated sensor options for 3 use cases: surface temperature, vibration or liquid levels - Automation of Monitoring equipment sensors, enabled by packaged anomaly detection ML models
    Listing Thumbnail

    AMP (Asset Monitoring and Predictive) Deployable IoT MVP

     Info

    Overview

    Many organizations do not have the ability to monitor and optimize their assets. Data is often being collected from assets and devices but not interpreted or used to base actions and improvements on. Common costly scenarios that can be optimized through asset management with smart sensors and AWS IoT

    With pre-built assets and playbooks, AMP is an accelerator solution avoiding the need to build from scratch and allowing the flexibility to be tailored to each client's requirements. Use cases include monitoring surface temperature, hydraulic pressure, vibration levels and liquid levels

    **Deployable and Repeatable MVP **

    • Packaged: pre-defined delivery playbook
    • Automated: pre-defined pipelines to deploy the chassis
    • Project duration: 6 weeks
    • Project cost: fixed price
    • Sensor use cases: surface temperature, hydraulic pressure, liquid levels, vibration levels

    AWS IoT Services with Sitewise Edge Storm Reply's AMP solution leverages AWS IoT services and specifically, SiteWise Edge for powerful capability at the edge, namely data organizing, transformation and visualization. Real-time equipment data processing, on the spot plus AWS IoT core services for further system integration, data storage and analytics. In addition, Storm Reply will leverage Amazon Lookout for Equipment to rapidly enable the detection of abnormal equipment behavior and automatically train ML models, with no Machine Learning expertise required.

    Highlights

    • Benefits include: 1.Operational transparency - Improve visibility of assets by capturing data from sensors and leveraging AWS IoT rules and events to notify you of potential issues 2.Labour efficiencies - Transition from reactive maintenance to predictive maintenance. Avoid unnecessary site visits and call outs
    • 3.Fault detection - Analyse equipment data on the spot, triggering an alert if an imminent issue is detected. Reduce faults and costs to repair
    • 4.Reduced production down-time - Identify potential equipment malfunctions in real time in order to prevent failures. Reduce production down-time

    Details

    Delivery method

    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.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Please contact Storm Reply: Name: Rachel Grunwerg Email: r.grunwerg@reply.com 

    Software associated with this service