腸を模倣した蠕動運動型混合搬送装置による混合度検知システムの構築

—機械学習を用いた各種センサによる汎化性検証—

抄録

We developed a peristaltic mixing conveyor that imitates the intestines to enable continuous mixing and conveying in the foods and medicines manufacturing process. We are constructing a system to detect the degree of mixing of contents by attaching pressure and flow sensors to the device. To improve the generalizability of the system, mixtures with different mixing ratios of powder and liquid were input into a device. PCA was applied to data from sensors, and classification was performed using SVM, decision trees, and k-NN. As a result, Discrimination rates achieved 100% for all discriminators in the exhaust flow sensor data set.