O uso da inteligência artificial na indústria química

Abstract

In brief, Artificial Intelligence (AI) can be defined as a field of technical and scientific knowledge that enables systems to perform tasks typically associated with intelligent beings. The chemical industry has seen a notable increase in the number of AI applications, particularly in areas such as research and development, production, forecasting, planning, and risk management. As an emerging technology, AI holds significant potential to reduce energy consumption, environmental impacts, and operational risks within chemical manufacturing processes. Despite its promise, large-scale AI implementation in the chemical industry remains limited. One of the main barriers is the lack of quantitative understanding regarding the potential benefits and risks associated with various AI applications. Nonetheless, there is considerable interest in leveraging AI to address key challenges in process modeling, optimization, control, fault detection, and diagnostics. In this context, AI emerges as a strategic tool to support the achievement of environmental, economic, and social sustainability goals. The ongoing digital transformation across the industrial sector underscores the essential role of AI in enabling this transition. Research and development play a critical role in driving innovation, particularly for chemical companies focused on sustainable practices. AI is increasingly employed to predict and optimize chemical reactions and to enhance processes from a holistic perspective. Recent studies have emphasized AI's potential to support the development of sustainable chemicals and materials. In addition to its technical applications, artificial neural networks may also be used to assess and enhance job satisfaction within research laboratories. This undergraduate thesis analyzed the presence of artificial intelligence in the chemical industry, aiming to reveal the state of the art by examining the historical evolution of the field. Based on a thorough review of the available literature, it provides a description of the context in which AI can truly make a relevant contribution to technological development within the chemical sector.