Preparation of Investigating the Impact of AI on Noise Control in Industrial Environments: Narrative Review

As Artificial Intelligence (AI) technology evolves, innovative solutions for noise control in industrial settings emerge, leveraging data analysis to enhance workplace environments and employee well-being. A total of ۲۸ articles were selected from databases including PubMed, DOAJ, Science Direct, Semantic Scholar, Google Scholar, Google Patents, Wiley Online Library, ProQuest, SpringerLink, Cochrane Library, and IEEE Xplore, covering studies published up to December ۲۰۲۴. Additional sources from gray literature databases such as BASE and OpenGrey were also included to ensure comprehensive coverage. Articles were screened based on relevance, clarity, and quality using the SANRA (Scale for the Assessment of Narrative Review Articles) framework. Data were systematically extracted and synthesized to highlight key findings. The findings indicate that AI serves as a powerful tool for noise control in industrial settings. Its applications include real-time noise monitoring, active noise control (ANC), and the intelligent design of sound-absorbing materials. AI-based systems, such as those using ANC, leverage advanced algorithms to effectively neutralize disruptive sounds. Additionally, AI facilitates the design and selection of materials that reduce sound reflection and propagation. Challenges such as computational demands in multichannel ANC systems highlight the need for decentralized approaches. AI's adaptability allows its solutions to be tailored to specific industrial environments, ensuring enhanced productivity and workplace safety. This narrative review underscores the transformative potential of AI in industrial noise management by addressing specific noise control challenges. AI not only enhances worker health and productivity but also offers scalable solutions for sustainable workplace improvements.

کلیدواژه ها:

Artificial Intelligence ، Occupational health and safety ، Noise Control ، Machine Learning ، Acoustics ، Environmental Noise ، Industrial Hygiene ، Narrative Review