Tomi Wijaya, W. Caesarendra, Bobby K. Pappachan, T. Tjahjowidodo, A. Wee, M. I. Roslan
{"title":"通过实时传感器监测和分析实现机器人控制和决策,以实现工业4.0在航空航天部件制造中的应用","authors":"Tomi Wijaya, W. Caesarendra, Bobby K. Pappachan, T. Tjahjowidodo, A. Wee, M. I. Roslan","doi":"10.1109/PACRIM.2017.8121928","DOIUrl":null,"url":null,"abstract":"The industrial revolution has reached a new development cycle which uses the advantages of cyber world into the physical world of manufacturing, and called Industry 4.0. Cyber world offers Internet of Things which allows transmission and reception of data from and to anywhere on earth through Internet. In the current aerospace industry, the production of components has significant manual work involved. Meanwhile, the demand in quantity and quality of these components are increasing. In order to enhance manufacturing capability and solve this, this paper introduced a universal platform for real time sensors monitoring and analysis for Industry 4.0 implementation in aerospace industry. Our objective was to develop a universal platform that is reliable to be used in various analytical applications and investigate the supporting factors that has to be considered in applying such platform. To achieve this objective, the paper used easily available hardware which consists of ABB Robot, Wi-Fi Data Acquisition Systems (Wi-Fi DAQs), FPGA equipped CompactRIO, Wireless Access Point (WAP), sensors, and monitor. The system mentioned is made to trial for aerospace component manufacturing processes. The data acquired from the sensors is collected and transmitted by the Wi-Fi DAQs to the WAP. Consequently, the CompactRIO will collect the sensors data from the WAP and analyze them. The result will then be sent to the internet and also used to trigger necessary action for the ABB Robot based on predetermined decision making tables or resources. Ultimately, this application enables aerospace component manufacturers to enhance their capability to increase the product quality and manufacturing process safety while also reduce the manufacturing time required.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Robot control and decision making through real-time sensors monitoring and analysis for industry 4.0 implementation on aerospace component manufacturing\",\"authors\":\"Tomi Wijaya, W. Caesarendra, Bobby K. Pappachan, T. Tjahjowidodo, A. Wee, M. I. Roslan\",\"doi\":\"10.1109/PACRIM.2017.8121928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The industrial revolution has reached a new development cycle which uses the advantages of cyber world into the physical world of manufacturing, and called Industry 4.0. Cyber world offers Internet of Things which allows transmission and reception of data from and to anywhere on earth through Internet. In the current aerospace industry, the production of components has significant manual work involved. Meanwhile, the demand in quantity and quality of these components are increasing. In order to enhance manufacturing capability and solve this, this paper introduced a universal platform for real time sensors monitoring and analysis for Industry 4.0 implementation in aerospace industry. Our objective was to develop a universal platform that is reliable to be used in various analytical applications and investigate the supporting factors that has to be considered in applying such platform. To achieve this objective, the paper used easily available hardware which consists of ABB Robot, Wi-Fi Data Acquisition Systems (Wi-Fi DAQs), FPGA equipped CompactRIO, Wireless Access Point (WAP), sensors, and monitor. The system mentioned is made to trial for aerospace component manufacturing processes. The data acquired from the sensors is collected and transmitted by the Wi-Fi DAQs to the WAP. Consequently, the CompactRIO will collect the sensors data from the WAP and analyze them. The result will then be sent to the internet and also used to trigger necessary action for the ABB Robot based on predetermined decision making tables or resources. Ultimately, this application enables aerospace component manufacturers to enhance their capability to increase the product quality and manufacturing process safety while also reduce the manufacturing time required.\",\"PeriodicalId\":308087,\"journal\":{\"name\":\"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2017.8121928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2017.8121928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robot control and decision making through real-time sensors monitoring and analysis for industry 4.0 implementation on aerospace component manufacturing
The industrial revolution has reached a new development cycle which uses the advantages of cyber world into the physical world of manufacturing, and called Industry 4.0. Cyber world offers Internet of Things which allows transmission and reception of data from and to anywhere on earth through Internet. In the current aerospace industry, the production of components has significant manual work involved. Meanwhile, the demand in quantity and quality of these components are increasing. In order to enhance manufacturing capability and solve this, this paper introduced a universal platform for real time sensors monitoring and analysis for Industry 4.0 implementation in aerospace industry. Our objective was to develop a universal platform that is reliable to be used in various analytical applications and investigate the supporting factors that has to be considered in applying such platform. To achieve this objective, the paper used easily available hardware which consists of ABB Robot, Wi-Fi Data Acquisition Systems (Wi-Fi DAQs), FPGA equipped CompactRIO, Wireless Access Point (WAP), sensors, and monitor. The system mentioned is made to trial for aerospace component manufacturing processes. The data acquired from the sensors is collected and transmitted by the Wi-Fi DAQs to the WAP. Consequently, the CompactRIO will collect the sensors data from the WAP and analyze them. The result will then be sent to the internet and also used to trigger necessary action for the ABB Robot based on predetermined decision making tables or resources. Ultimately, this application enables aerospace component manufacturers to enhance their capability to increase the product quality and manufacturing process safety while also reduce the manufacturing time required.