Intel’s Affordable Industrial Internet of Things(IoT) for Equipment Predictive Maintenance

In today’s rapidly evolving industrial landscape, predictive maintenance (PdM) has emerged as critical strategy to minimize downtime, reduce cost and avoid quality excursion. Intel has been using a standardized Industrial Internet of Things (IoT) infrastructure in Intel’s Assembly test and fabrication facilities (ATM & Fab) for several years. Most of the legacy factory equipment wasn’t built with the digital sensors, so it is does not generate useful equipment data log to monitor tool health condition. This abstract present a comprehensive overview of how the internet of things (IoT)is revolutionizing the predictive maintenance practices across Intel factories.This paper describes Intel IoT infrastructure and the central IoT dashboard including data acquisition, data transmission, Cloud MQTT broker, and data analytics. It also discusses the integration of advance analytics such as machine learning and big data analytics, can be a powerful tool to help us better diagnose and perform predictive maintenance. These insights empower organizations to make informed decisions, optimize maintenance schedules and allocate resources more efficiently.Our standardized Industrial Internet of Things (IoT) infrastructure is highly scalable and has numerous business benefits:•Zero excursions- Scrap avoidance•Real time conditional health monitoring•Cost savings- spare part lifespan•min unscheduled downtime

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Published
2024-10-16
DOI
https://doi.org/10.1109/iemt61324.2024.10875095
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Intel’s Affordable Industrial Internet of Things(IoT) for Equipment Predictive Maintenance

Masterson Barry, Wong Shaw Fong, Ee Boon Yee, Lee Hai Liang Duncan et al.
Fault Detection and Control Systems
article

Intel’s Affordable Industrial Internet of Things(IoT) for Equipment Predictive Maintenance

Masterson Barry, Wong Shaw Fong, Ee Boon Yee, Lee Hai Liang Duncan, Puvanesvaran Shanmugan
article en

Abstract

In today’s rapidly evolving industrial landscape, predictive maintenance (PdM) has emerged as critical strategy to minimize downtime, reduce cost and avoid quality excursion. Intel has been using a standardized Industrial Internet of Things (IoT) infrastructure in Intel’s Assembly test and fabrication facilities (ATM & Fab) for several years. Most of the legacy factory equipment wasn’t built with the digital sensors, so it is does not generate useful equipment data log to monitor tool health condition. This abstract present a comprehensive overview of how the internet of things (IoT)is revolutionizing the predictive maintenance practices across Intel factories.This paper describes Intel IoT infrastructure and the central IoT dashboard including data acquisition, data transmission, Cloud MQTT broker, and data analytics. It also discusses the integration of advance analytics such as machine learning and big data analytics, can be a powerful tool to help us better diagnose and perform predictive maintenance. These insights empower organizations to make informed decisions, optimize maintenance schedules and allocate resources more efficiently.Our standardized Industrial Internet of Things (IoT) infrastructure is highly scalable and has numerous business benefits:•Zero excursions- Scrap avoidance•Real time conditional health monitoring•Cost savings- spare part lifespan•min unscheduled downtime

Intel (Malaysia) (MY)
Openalex Percentile: Top 66%
Fault Detection and Control Systems
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Intel’s Affordable Industrial Internet of Things(IoT) for Equipment Predictive Maintenance — Masterson Barry, Wong Shaw Fong, et al. · (2024) | TGRS Research Map | TGRS