Intelligent Electrostatic Oil Fume Treatment Method Utilizing IoT Technology

Electrostatic precipitators are widely recognized as effective air pollution control equipment by environmental protection agencies. These devices utilize high voltage to generate an electrostatic field, causing oil fumes and dust particles to polarize. Through electrostatic attraction, these particles are captured on collector plates, achieving high-efficiency filtration. However, traditional electrostatic precipitators require frequent cleaning and maintenance, leading to operational downtime and increased costs. This study proposes a novel solution: integrating IoT technologies into electrostatic precipitators to create a smart system capable of real-time monitoring and data analysis. Sensors embedded in the system collect data such as sparking frequency, voltage, current, temperature, and air pressure. By leveraging big data analytics, maintenance can be optimized, reducing costs and human effort. This innovation holds significant value for the restaurant industry, ensuring compliance with air pollution laws while improving operational efficiency. Furthermore, this research aligns with global sustainability initiatives, including the United Nations' Sustainable Development Goals (SDGs), by advancing eco-friendly technology and addressing critical environmental challenges.