Unknown particle discrimination system for monitoring situation of air classifier

2015 Fiscal Year Final Research Report

• Project/Area Number: 25420883
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Earth system and resources engineering
• Research Institution: Kitakyushu National College of Technology
• Principal Investigator: TAYAOKA Atsunori 北九州工業高等専門学校, 生産デザイン工学科情報システムコース, 教授 (60236768)
• Co-Investigator(Kenkyū-buntansha): YOSHINO Keiichi 北九州工業高等専門学校, 生産デザイン工学科情報システムコース, 教授 (40249876)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 廃被覆電線 / リサイクル / AEセンサ / 信号処理 / 画像処理 / 判別分析法

Outline of Final Research Achievements

In recycling of insulated wire factories, operators manually adjust the airflow of air classifier while checking the tailings discharged. However, the adjustments are done by trial and error. In this study, we tried to develop the monitoring system that calculates the ratio of Cu and PVC in the tailings as a substitute for the operator’s eyes. Using the Acoustic Emission (AE) signal of the collision sound between Cu / PVC particles and an AE sensor head, we carried out waveform analysis, and frequency analysis using the Wavelet transform. In our image processing, applying Otsu's thresholding twice onto images, we succeeded to extract object from background automatically without losing any black particles. Moreover, we also applied discrimination analysis on saturation histogram of sample image to calculate the ratio of PVC to Cu, using respective basic saturation histograms of Cu and PVC. As a result, the estimation error of proposed system was less than 1%.

Free Research Field

リサイクル