Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated, “Batch scheduling is a crucial part of pipeline enterprise operation management, especially in the c ontext of market-oriented operation.” Our news journalists obtained a quote from the research from China University of Petroleum: “It involves 3 main tasks: quickly preparing batch plans, accurately tracking interface movement, and operation condition in real time. Normally, th e completion of multi-product pipeline batch scheduling depends on simulation mo dels or optimization models and corresponding conventional solving algorithm. Ho wever, this approach becomes inefficient when applied to large-scale systems. Th e rapid development of machine learning has brought new ideas to batch schedulin g research. This paper first reviews the current state of batch scheduling techn ology, and suggests that applying machine learning to it is a promising developm ent direction. Then, we summarize the progress of machine learning applications in batch planning, interface movement tracking, and operational condition monito ring, and point out their limitations.”
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