Power / case study

Seamless Operations and Efficiency with Overhead Conveyors Predictive Maintenance Solution for a Leading Energy Resources Company

Seamless Operations and Efficiency with Overhead Conveyors Predictive Maintenance Solution for a Leading Energy Resources Company

Read
Complete story







    Synopsis

    Technology Stack

    AWS DynamoDB

    AWS Kinesis

    NodeJS

    Client Overview

    For one of the biggest multinational power sector company.

    Challenge

    Overhead conveyors used to transport coal from mining area to production area for thermal power production. Client wanted the data to be transferred through communication gateway to central server.

    Solution

    • Data collected from acoustic and vibration sensors installed on conveyor belts and pillars
    • Data from sensors received in 10 minutes interval
    • AWS stack(Kinesis streams, Lambda, DynamoDB) to handle streaming data and providing real-time analytics
    • Front-end application showing dashboards, sending notifications for any anomalies detected and showing error trends
    • Machine learning for predictive maintenance

    Outcome

    Secure & easily data transfer
    Accuracy in data
    Cost saving – lower human resources required

    Explore More

    Case studies

    View All Transform with AI Today
    Elevating Events with a Cloud-Powered Ticketing & Event Search Solution For a Global Leader in Digital Ticketing Services

    Elevating Events with a Cloud-Powered Ticketing & Event Search Solution For a Global Leader in Digital Ticketing Services

    Empowering Customer Engagement with Cloud-Based Demandware for a Top Fashion Footwear Manufacturer

    Empowering Customer Engagement with Cloud-Based Demandware for a Top Fashion Footwear Manufacturer