Industrial Warning System With Active Devices for Signal Reception and Dynamic Noise Attenuation using Artificial Intelligence Algorithms

The protection of workers' hearing in industrial environments is essential to ensure their safety and health. This article presents a general architecture and the essential components of a distributed integrated industrial system capable of receiving notifications from machinery and transmitting voice messages in real-time to workers. Utilizing a localization system based on Bluetooth Low Energy (BLE) technology, the system identifies the real-time position of workers. The one-way communication between machines and the notification server relies on an HTTP protocol with POST requests, allowing the sending of customized alerts to specific groups of workers. This improves communication effectiveness, ensuring that every potentially interested worker receives critical information for their safety. The system consists of two key components: a personal protective device (PPE) equipped with adaptive electronic filters supported by artificial intelligence, designed to dynamically filter harmful noises while allowing the transmission of essential alerts, alarms, and voice communications. The second component includes a user localization system and the transmission/reception between machines and worn PPEs, capable of generating safety alerts and operational instructions, thereby enhancing workers' situational awareness and protection. The article explores the system's architecture and highlights its potential benefits in terms of risk reduction in industrial environments, contributing to the creation of a safer work environment. By emphasizing the importance of technology in safeguarding workers' health, this system represents a significant step forward toward a safer and more responsible industry.

Keywords: Smart PPE, Occupational safety, IoT for industry device, Dynamic noise cancellation, Machine learning for voice detection, Real-time audio processing.