Introduction to Amazon Monitron and its use cases

In this recipe, we will learn about Amazon Monitron. We will also learn about the use cases of Amazon Monitron.

Recipe Objective - Introduction to Amazon Monitron and its use cases?

The Amazon Monitron is a widely used service and is defined as a fully managed service which provides Predictive maintenance and machine learning can help users avoid unplanned equipment downtime. Machine learning (ML) can detect and respond to machine issues before they occur. With Amazon Monitron's end-to-end system, users can start monitoring equipment in minutes with simple installation and automatic, secure analysis. As Amazon Monitron learns from technician feedback entered in the mobile and web apps, system accuracy improves over time. Instead of going after "everything," AWS Monitron cleverly targeted industries to track and monitor a wide range of rotating machinery. Motors, gearboxes, pumps, fans, bearings, and compressors are just a few examples. Rotating equipment is used in every industry in some way. The idea is to track the vibrations and temperature of rotating machinery rather than anything else that would require specialised sensors to monitor equipment failure. The goal is to use the same sensor for all rotating machinery, which should cover the majority of the machinery. The strategy is to get these industries to jumpstart innovation and see results quickly. If you fail, it will assist you in failing quickly. Use a sensor that is "standard" and can be mounted on rotating equipment. These sensors must support OTA (Over-The-Air) firmware updates in order to be future-proof. Use BlueTooth (BLE) for connectivity because it is a standard, low-energy, and long-lasting. Create a user-friendly IoT platform using AWS IoT Services (such as Lambda, S3, DynamoDB, and others). Good documentation to help you get up and running quickly and reap the benefits. The goal is to keep the usability so basic that no high-level resources are required to get started. This helps users save both time and money.

Explore Interesting IoT Project Ideas for Practice

Benefits of Amazon Monitron

  • Use the built-in Machine Learning (ML) feature in Amazon Monitron, which analyses usage patterns based on vibrations and provides a predictive inference. This is an excellent step because it eliminates the majority of the technological grey areas where industries must experiment. This is a time and money saver. Over time, using machine learning will improve accuracy. A mobile app that can be used to keep track of the equipment. When Monitron detects potential failures, users can receive push notifications and view sensor measurements inside the app. The wireless sensors from Amazon Monitron can be easily adhered to users equipment with adhesive, eliminating the need for costly and inconvenient cabling. These low-cost sensors are designed to record vibration and temperature data in order to keep track of the health of your rotating machinery. Wi-Fi and ethernet gateways are also included in Amazon Monitron to transfer sensor data to AWS. Sensors and gateways from Amazon Monitron are pre-configured to work with the Amazon Monitron service and thus provides wireless sensor and gateway system from start to finish.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Monitron and Use Cases of Amazon Monitron.

Use cases of Amazon Monitron

    • It finds its use case in Fans

Amazon Monitron provides easy-to-install hardware and with the power of machine learning, users can avoid costly repairs and factory equipment downtime in fans.

    • It finds its use case in Bearing

Amazon Monitron provides easy-to-install hardware and with the power of machine learning, users can avoid costly repairs and factory equipment downtime in the bearings.

    • It finds its use case in Compressors

Users in the Compressors can avoid costly repairs and factory equipment downtime by using Amazon Monitron's easy-to-install hardware and the power of machine learning.

    • It finds its use case in Motors.

Users can avoid costly repairs and factory equipment downtime in the motors by using Amazon Monitron's easy-to-install hardware and the power of machine learning.

    • It finds its use case in Gearboxes

Amazon Monitron provides easy-to-install hardware and with the power of machine learning, users can avoid costly repairs and factory equipment downtime in the Gearboxes.

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark
Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.

Build a big data pipeline with AWS Quicksight, Druid, and Hive
Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.

Learn How to Implement SCD in Talend to Capture Data Changes
In this Talend Project, you will build an ETL pipeline in Talend to capture data changes using SCD techniques.

Learn Efficient Multi-Source Data Processing with Talend ETL
In this Talend ETL Project , you will create a multi-source ETL Pipeline to load data from multiple sources such as MySQL Database, Azure Database, and API to Snowflake cloud using Talend Jobs.

Yelp Data Processing using Spark and Hive Part 2
In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.

PySpark Project to Learn Advanced DataFrame Concepts
In this PySpark Big Data Project, you will gain hands-on experience working with advanced functionalities of PySpark Dataframes and Performance Optimization.

Deploying auto-reply Twitter handle with Kafka, Spark and LSTM
Deploy an Auto-Reply Twitter Handle that replies to query-related tweets with a trackable ticket ID generated based on the query category predicted using LSTM deep learning model.

Build an ETL Pipeline for Financial Data Analytics on GCP-IaC
In this GCP Project, you will learn to build an ETL pipeline on Google Cloud Platform to maximize the efficiency of financial data analytics with GCP-IaC.

Hive Mini Project to Build a Data Warehouse for e-Commerce
In this hive project, you will design a data warehouse for e-commerce application to perform Hive analytics on Sales and Customer Demographics data using big data tools such as Sqoop, Spark, and HDFS.

Airline Dataset Analysis using PySpark GraphFrames in Python
In this PySpark project, you will perform airline dataset analysis using graphframes in Python to find structural motifs, the shortest route between cities, and rank airports with PageRank.