傾動式注湯プロセスのオフライン解析における画像処理データとセンサデータの同期手法

抄録

  This paper discusses a novel approach for analyzing the process of a tilting-ladle type pouring system in the casting industry. In recent studies, image measurement systems with high-speed cameras have been proposed to create a high-precision tilting-ladle type pouring machine with pouring states feedback control approaches. Incorporating image processing technology with an existing sensor system is useful for analyzing and evaluating the pouring process. To analyze the pouring process offline, a general-purpose camera is installed to easily capture images of the process. However, it is necessary to synchronize the image processing data with the data obtained from the other sensors, such as a rotary encoder. Additionally, most general-purpose cameras have lower sampling rates than the sensors.

  Therefore, this study proposes a data synchronization approach for image processing and sensor data. With this approach, both the image processing data and sensor data can be synchronized by sharing a trigger signal when the camera detects the light of the indicator lamp integrated into the pouring control system. Moreover, the sampling number of the image processing data is arranged with that of the sensor data using the up-sampling method using a cubic natural spline function. The efficacy of the proposed approach was verified by applying it to the experimental data obtained from an automatic pouring machine.