Summary: | 碩士 === 國立宜蘭大學 === 生物機電工程學系碩士班 === 105 === The objective of this research was to develop a remote monitoring APP implemented in a light-weight shrimp peeler. The light-weight shrimp peeler can be divided into five units: shelling, squeezing, cleaning, driving and discharging unit. The control parameters of the best peeling rate were obtained by the three kinds of shrimp in Whiteleg shrimp, Mino Nylon shrimp and Spear Littoral shrimp. In line with the development trend of Internet of Things and Industry 4.0 to develop an APP, which can be remotely monitored. Using the Android operating system of the smart phone as a controller, combined Raspberry Pi, Wi-Fi and webcam in embedded system to achieve remote monitoring capabilities, so that users can solve the emergency situation in remote locations.
A prototype of shrimp peeler has been developed in this research with the dimensions of 890 mm in length, 560 mm in width, and 920 mm in height. The prototype must be operated as one person. The experimental results showed that 73.7±2.4% in peeling rate, can process 12.9±1.5kg per hour for Whiteleg shrimps and 85.7±2.1% in peeling rate, can process 13.4±0.4kg per hour for Spear Littoral shrimp. Besides, the peeling rate of Mino Nylon shrimp is 81.6±1.9%, can process 21.5±0.9kg per hour. After the statistical analysis to find out the best control parameters and put in the APP. The Whiteleg shrimp for the swing frequency is 90 times/min, with the rotating roller 145 rpm; the swing roller frequency is 90 times / min, with the rotating roller 115 rpm for Mino Nylon shrimp; the swing roller frequency is 90 times / min, with the rotating roller 135 rpm for Spear Littoral shrimp. Therefore, users can choose shrimp options directly by phone and achieve the best peeling effect. Also it can solve the problem in times of emergency.
|