دانلود مقاله ISI انگلیسی شماره 153930
ترجمه فارسی عنوان مقاله

جریان داده تولید داده برای فعال کردن اکوسیستم شخص ثالث برنامه های تولید دیجیتال

عنوان انگلیسی
Streaming Machine Generated Data to Enable a Third-Party Ecosystem of Digital Manufacturing Apps
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
153930 2017 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Manufacturing, Volume 10, 2017, Pages 1020-1030

پیش نمایش مقاله
پیش نمایش مقاله  جریان داده تولید داده برای فعال کردن اکوسیستم شخص ثالث برنامه های تولید دیجیتال

چکیده انگلیسی

The digital factory of the future will be driven by the integration of physical smart machine tools and cyber-enabled software, working seamlessly to increase manufacturing intelligence, flexibility, agility and production efficiency. The objective of this study is develop and demonstrate a middleware software architecture to interface physical machines on a shop floor with client manufacturing applications. We have connected both legacy and modern ‘smart’ machines to a highly scalable database capable of storing streaming time-series data generated by on-board sensors and machine controllers. Three client applications were developed to demonstrate the mechanism through which third-party apps can be written without direct physical communications with machines on the shop-floor. The first, is an application that resides within the Digital Manufacturing Commons (DMC) which demonstrates the ability to query data from any physical machine on the floor; the 2nd application demonstrates a python app which compares digital product data with machine generated data; and the 3rd application demonstrates building a LabView app built to interface with the middleware service. This proposed architecture enables an ecosystem of smart manufacturing applications to be built and deployed on the shop-floor through open-sourced software and hardware devices thereby reducing cost of manufacturing software development.