Authors: Amit Kumar, Pooja Verma, Ravi Singh
Abstract: Real-time data acquisition is critical for efficient control and monitoring of industrial processes. This paper delves into the design and implementation of real-time data acquisition systems (DAS) in control engineering. The focus is on the challenges of handling large datasets, ensuring low-latency data transmission, and optimizing sensor performance. The integration of DAS with cloud computing, IoT technologies, and edge computing is discussed to enhance system responsiveness. Several industrial applications, including energy management, chemical processing, and automation, are presented to showcase the benefits of real-time data acquisition.
Keywords: Real-Time Monitoring, Data Acquisition, Edge Computing, Cloud Integration, Low Latency
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