Electronic Patent Technology Trend Survey Report on Process Control Applying Artificial Intelligence
You can view patent information categorized by the following technical classifications: - Prediction and estimation of process quantities of chemical substances - Diagnosis of manufacturing conditions - Acceleration of anomaly detection - Prediction of process variations - Optimization of processing processes - Estimation of component lifespan - Failure precursor determination - Simulation
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PDF version In the operation of chemical plants, it is necessary to accurately measure control factors known as process variables, such as temperature, pressure, and flow rate, in order to control the process. However, it is true that these process variables are difficult to quantitatively correlate with control targets, and the complexity and multitude of control factors often lead to a reliance on experience and past performance. On the other hand, advancements in artificial intelligence (AI) using machine learning functions such as neural networks and deep learning are remarkable, and applications are beginning to emerge across a wide range of fields, including learning and analysis of complex systems. This document conducts a patent survey on artificial intelligence (AI) applied to manufacturing processes centered on chemical operations and chemical processing, selecting technologies that seem important from the perspectives of measurement of process variables, fault diagnosis, anomaly detection, variability prediction, simulation, and more.
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Data Resource Co., Ltd. provides valuable information and analytical data for business strategy planning, including the latest market information on telecommunications, computers, electronics, energy, and automotive-related sectors worldwide, as well as competitor strategies, the development of new technologies and services, regulations, and intellectual property.