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Machine intelligence on site and in the Cloud with Storm Reply's Asset Monitoring and Predictive IoT solution, AMP.
AMP allows clients to quickly adopt AWS IoT services, prove the value of their use case and realize the impact the solution can bring to the business. Clients could achieve the following results with AMP.
Your machine infrastructure digitalised
Have energy cost visibility and strive for sustainability
Make your customers happy with improved production quality
Many organizations do not have the ability to monitor and optimize their assets. Data is usually collected from assets and devices but not used to base actions and improvements on.
Costly scenarios that can be optimized with asset management using smart sensors and AWS IoT include unnecessary labor for routine inspections, undetected equipment damage until scheduled maintenance, and production delays caused by equipment malfunctions.
AMP by Storm Reply is an easy to deploy and scalable IoT solution, aimed at enabling client's adoption of AWS IoT services and realize the business benefits of their IoT use cases.
AMP by Storm Reply is an easy to deploy and scalable IoT solution, aimed at enabling client's adoption of AWS IoT services and realize the business benefits of their IoT use cases.
AMP is a flexible accelerator solution offering pre-configured industrial PCs, pre-integrated sensors for surface temperature, vibration, or liquid levels, automated monitoring with anomaly detection models, pre-built assets for data collection and analysis, and easy-to-build dashboards and reporting.
Remove Legacy Infrastructure
Sustainability
Onsite & Central Visibility
Downtime & Faults
Simplified Data Management
Flexibility
Legacy infrastructure and applications such as historian servers, SPC, SCADA (supervisory control and data acquisition) and MES (manufacturing execution systems) are costly, difficult to manage and hinder modernisation. Whilst cloud services have dramatically changed this, building services can be difficult. AMP packages AWS IoT native services to accelerate your modernisation journey.
Reduce carbon emissions, drive overall equipment efficiency (OEE) and meet net-zero targets. Predictive maintenance enables manufacturers to extend equipment lifecycle, reducing the emissions required to build new machinery. Plus, AMP’s computer vision capabilities help manufacturers quickly locate defective equipment.
With the release of AWS SiteWise Edge, AMP enables clients to monitor, predict and prevent onsite failures—even in areas with poor or no connectivity. By combining AWS Cloud with edge services, users can see analytics for multiple sites across the globe, from one single view.
Reduce downtime, faults and repair costs with real-time analytics and alerts on critical equipment. Using IoT and AI/ML services, AMP enables you to predict these events ahead of time—all without the need for a data science team.
AMP simplifies accessing and extracting machine data with pre-built templates and frameworks, including asset information extraction, control system cataloging, defining measurements and actions, rapid dashboard development, and leveraging pre-built models.
Keep your sensitive data where it needs to be. AMP offers manufacturers the freedom to choose where they store critical equipment data, whether it’s onsite or at the edge.
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Storm Reply's Edge Computing Lab in London is a cloud-native IIoT facility for manufacturers to test solutions off-site without production downtime. Built on AWS, it enables real-time data analysis, predictive maintenance, and digital twin creation.
AWS offers several cloud services that make it simple to securely connect IoT devices to cloud applications. AWS IoT Core allows you to leverage other AWS services like Sitewise Edge, Lookout for Equipment, Amazon Kinesis, Amazon Machine Learning, and AWS Lambda and in turn for Storm Reply to help you implement or build IoT solutions that gather, process, analyze and act on data generated by connected devices at global scale, without having to manage any infrastructure.