آنالیز داده ها در سناریو اینترنت اشیا / اینترنت داده ها (IoT / IoD) Manufacturing Data Analysis in Internet of Things/ Internet of Data (IoT/IoD) Scenario
- نوع فایل : کتاب
- زبان : انگلیسی
- ناشر : Taylor & Francis
- چاپ و سال / کشور: 2018
توضیحات
رشته های مرتبط مهندسی کامپیوتر و فناوری اطلاعات
گرایش های مرتبط اینترنت و شبکه های گسترده
مجله سایبرنتیک ها و سیستم ها – Cybernetics and Systems
دانشگاه Aligarh Muslim University – Aligarh – India
منتشر شده در نشریه تیلور و فرانسیس
کلمات کلیدی انگلیسی Decisional DNA; Internet of data; Internet of things; knowledge representation; virtual engineering objects; virtual engineering process
گرایش های مرتبط اینترنت و شبکه های گسترده
مجله سایبرنتیک ها و سیستم ها – Cybernetics and Systems
دانشگاه Aligarh Muslim University – Aligarh – India
منتشر شده در نشریه تیلور و فرانسیس
کلمات کلیدی انگلیسی Decisional DNA; Internet of data; Internet of things; knowledge representation; virtual engineering objects; virtual engineering process
Description
Introduction In the modern industrial environment, companies are adopting a higher level of automation and computerization for their production systems to achieve higher efficiency and superior performance. Computer integrated manufacturing (CIM) is one example of such approaches. CIM is defined as the manufacturing approach of using computers to control the entire production process. This integration allows individual processes to exchange data, information, and knowledge with each other and initiate actions. Although manufacturing can be faster and less error-prone by the integration of computers, the main advantage is the ability to create automated manufacturing processes. However, there is a substantial challenge for CIM system to have collaborating computational entities, which are in intensive connection with the surrounding world and its ongoing processes, providing and using data-accessing and data processing services available in real time (Nguyen 2005; Baxter et al. 2007). Moreover, there is a need for a mechanism to enhance overall smartness of CIM by extracting knowledge from its raw data and information (Verhagen et al. 2012). This paper proposes a framework, in which previous knowledge of the CIM along with information communication technology features is utilized to induce intelligence to the CIM system operating in data-intensive environments of Internet of Things (IoT). The proposed model enables micro-level integration of various CIM components, which in turn will not only facilitate the real-time control and monitoring capabilities, but also enhance effective decision-making.
