Jig Detection Using Scanning Method Base On Internet Of Things For Smart Learning Factory

被引：1

作者：

Perdana, Ridho Hendra Yoga ^{[1
]}

Hidayati, Nurul ^{[1
]}

Yulianto, Ahmad Wilda ^{[1
]}

Firdaus, Vipkas Al Hadid ^{[2
]}

Sari, Nila Novita ^{[3
]}

Suprianto, Dodit ^{[2
]}

机构：

[1] State Polytech Malang, Dept Elect Engn, Malang, Indonesia

[2] State Polytech Malang, Dept Informat Technol, Malang, Indonesia

[3] Politeknik Negeri Bandung, Dept Elect Engn, Bandung, Indonesia

来源：

2020 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS 2020) | 2020年

关键词：

Smart Learning Factory; Internet of Things; Jig; Scanning; Ultrasonic;

D O I：

10.1109/iemtronics51293.2020.9216392

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Nowadays, the evolution of a factory has pushed towards a smart learning factory. By having the ability to learn, monitor each device and the resulting product will get more precise product results according to design. Detection of a place to put a product or called a jig on a shuttle whose number is different becomes something that is often missed from observation. With the scanning method with five pieces of ultrasonic sensors, the detection speed is 50 mu s, and the detection accuracy is 100% for distances less than 25cm. The detection process of the jig is sent and stored by IoT Gateway as a Big Data Cluster via wifi media with a performance of 99.4%. The process of storing data on the IoT Cloud as the Main Big Data has a performance of 100% of the data on the IoT Gateway.

引用

页码：519 / 523

页数：5

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