College - Author 1
College of Engineering
Department - Author 1
Computer Science Department
Advisor
Joydeep Mukherjee, College of Engineering, Computer Science and Software Engineering Department
Funding Source
Noyce School of Applied Computing, Cal Poly's College of Engineering Dean's Innovation Fund, Paul & Sandi Bonderson, Kim Vorrath, and The Sprague Foundation
Date
10-2025
Abstract/Summary
The Fourth Industrial Revolution, or Industry 4.0, integrates a range of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Cloud Computing, and Data Analytics to improve the efficiency, productivity, scalability, and security of modern manufacturing systems. Smart manufacturing leverages these technologies across various domains to enhance data-driven decision-making and quality control in production processes. In a smart manufacturing environment, heterogeneous IoT sensors interact with each other and control systems to automate real-time monitoring, analysis, and decision-making. This integration enables manufacturers to optimize production, quickly detect and address anomalies, reduce environmental impact, and adapt rapidly to changing conditions. Given the reliance on IoT sensors and the traffic they generate, smart manufacturing environments require a scalable and efficient IoT pipeline capable of ingesting, processing, and analyzing large volumes of sensor data in real time. This project aims to develop an automated IoT pipeline for modern smart manufacturing, ensuring low latency and strong fault tolerance when processing data from diverse sensors. The pipeline will utilize cutting-edge IoT technologies, including Apache Kafka and Apache Spark, to manage and process the sensor data effectively.
October 1, 2025.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/99