Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Research Article

Integrated Machine Health Monitoring Application: A Cloud-Based Approach

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  • @INPROCEEDINGS{10.4108/eai.7-12-2021.2314565,
        author={Rajeswari  N and AnanyaMrituanjaya  A},
        title={Integrated Machine Health Monitoring Application: A Cloud-Based Approach},
        proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India},
        publisher={EAI},
        proceedings_a={ICCAP},
        year={2021},
        month={12},
        keywords={content delivery system mining data logs widgets},
        doi={10.4108/eai.7-12-2021.2314565}
    }
    
  • Rajeswari N
    AnanyaMrituanjaya A
    Year: 2021
    Integrated Machine Health Monitoring Application: A Cloud-Based Approach
    ICCAP
    EAI
    DOI: 10.4108/eai.7-12-2021.2314565
Rajeswari N1,*, AnanyaMrituanjaya A1
  • 1: PSG College of Technology
*Contact email: nrj.mca@psgtech.ac.in

Abstract

Health Equipment Insights (HEI) is a cloud hosted, subscription-based web application. In this application, the health of the various machines such as trucks and loaders are monitored through various parameters and useful insights are given to the customers and dealers who own the equipments. There are three kinds of users - dealers, customers and CAT users. In order to access the HEI application, the customers and dealers must have subscribed to the service. The insights given to the users are productivity information like engine high speed shutdown, and high gas temperature, along with other information. It also provides utilization details such as the total amount of fuel consumed, the number of hours and performance indicators such as downtime. The users can also schedule to receive the information in form of reports on daily, weekly or monthly basis. These insights help in increasing the productivity at the mining sites and for utilizing the costs efficiently. They also help in providing health insights of various components inside the equipment. This information can be used to analyze the components inside the equipment thereby reducing the wear and tear. The preliminary driving factor as far as this application is concerned, is the urge to deliver more value to the customer by providing more user-friendly, easy to use interface with richer user interface experience along with additional features such as shared dashboard, feedback maintenance.