Reinforced ANFIS-based Filter Replacement Prediction System with Multi Sensors for VOCs Emission Reduction in Urban Industrial Facilities

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

With the increase of air pollution, Volatile Organic Compounds (VOCs) emission control requirements and regulations for small pollutant emitting facilities in urban centers are strengthening. This study proposes a multi sensor IoT network-based intelligent filter replacement prediction system efficient operation VOCs reduction installed automobile painting facilities. In proposed system, several multi-sensor modules consisting low-cost sensors at rear end adsorption tower prevention facility full-time management facility, to improve measurement accuracy, is trained optimized with Reinforced Adaptive Neural Fuzzy Inference System (RANFIS) model this study. enables real-time monitoring by predicting emissions. Based on predicted emissions, Decision Tree (DT) applied predict breakthrough rate material, activated carbon, inform cycle each manager. To verify eight three types were attached exhaust vent real paint booth facility. accuracy sensors, existing (ANFIS) was comparative verification. As result, RMSE values RANFIS 14.757, 16.117, 8.918, respectively, which 73.6%, 82.4%, 29.7% higher than ANFIS training. addition, DT based results carbon cycle, more 80% 80%, 70%, 60% efficiencies. Therefore, approach utilizing multi-sensors can be continuously monitor provide information managers, enabling pollution

Language: Английский

VOC Emission Spectrum and Industry-Specific Analysis in the Industrial Coating Industry of Hangzhou, China

Coatings, Journal Year: 2025, Volume and Issue: 15(4), P. 429 - 429

Published: April 4, 2025

This study conducted an on-site monitoring of 28 representative coating enterprises in Hangzhou City and successfully constructed the localized component spectrum volatile organic compounds (VOC) emissions from industrial industry. These enterprises, which have a total VOC emission approximately 7113 tons, accounting for 17.6% city’s emissions, primarily emit benzene derivatives, ketones, esters, halogenated hydrocarbons. Using maximum incremental reactivity (MIR) method, ozone formation potential (OFP) was calculated based on annual The OFP values different types had significant variations, with general equipment manufacturing, metal products, electrical machinery industries exhibiting highest contributions. Research results indicate that differentiated management approaches are needed specific characteristics each sub-industry, including promoting use water-based paints clean production technologies, adopting efficient compound treatment establishing stricter standards regular highly reactive compounds. measures crucial achieving more effective environmental continuous improvement air quality.

Language: Английский