RANFIS-Based Sensor System with Low-Cost Multi-Sensors for Reliable Measurement of VOCs
Year: 2025
Type: article
Abstract: This study describes a sensor system for continuous monitoring of VOCs emitted from small industrial facilities in urban centers, such as automobile paint facilities and printing facilities. Previously, intermittent measurements were made using expensive FID-type instruments that were impossible to install, resulting in a lack of continuous management. This paper develops a low-cost sensor system for full-time management and consists of multi sensor systems to increase the spatial resolution in the pipe. To improve the accuracy and reliability of this system, a new RANFIS algorithm with enhanced preprocessing based on ANFIS algorithm is proposed. For this purpose, a smart sensor module consisting of low-cost MOS and PID sensors is fabricated, and an operating controller is configured for real-time data acquisition, analysis, and evaluation. In the front part of RANFIS, IQR is used to remove outliers and gradient analysis is used to detect and correct data with abnormal change rate to solve nonlinearities and outliers in sensor data. At the latter stage, the complex nonlinear relationship of the data was modeled with ANFIS to reliably handle data uncertainty and noise. For practical verification, a toluene evaporation chamber with a sensor system for monitoring was built, and the results of real-time data sensing after training based on real data were compared and evaluated. As a result of applying the RANFIS algorithm, the RMSE of MQ135, MQ138, and PID-A15 sensors was 3.578, 11.594, and 4.837, respectively, which improved the performance by 87.1%, 25.9%, and 35.8% compared to the existing ANFIS. Therefore, the precision within 5% of the measurement results of the two experimentally verified sensors shows that the proposed RANFIS-based sensor system can be sufficiently applied in the field.
Source: Technologies
Authors: Keunyoung Kim, Woosung Yang
Institution: Kwangwoon University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,930
OpenAlex ID: W4408226382