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AWS Solutions Library

Guidance for Integrating Amazon Monitron with Treon Connect on AWS

Overview

This Guidance demonstrates how to extend Amazon Monitron sensor investments by integrating them with Treon Connect on AWS to create a comprehensive predictive maintenance solution. By consolidating data from existing Monitron devices, Treon sensors, and third-party systems into a unified interface with a single dashboard and API layer, you can automate work order generation through CMMS/EAM integration and leverage advanced analytics to shift from reactive maintenance to proactive, data-driven strategies that reduce unplanned downtime, optimize maintenance schedules, and improve equipment reliability across industrial operations.

Benefits

    Unify sensor data from multiple sources into a single dashboard and API layer. Eliminate data silos and gain comprehensive asset health visibility across your entire industrial operation.

    Transform anomaly detection into immediate action by automatically creating work orders in your CMMS or EAM systems. Reduce response time and eliminate manual intervention when equipment issues arise.

    Leverage your industrial data lake to train machine learning models specific to your equipment and operations. Move beyond generic algorithms to achieve maintenance predictions tailored to your unique asset profiles.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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