請選擇您需要的產業:  

以網宇實體系統為基礎實現智慧製造產業的發展 (2016-02-22 IEK產業情報網 )

The manufacturing industry is not only the key component of the industrial structure in advanced countries, it also has a profound impact on the development of the social economy; therefore, the improvement of the manufacturing industry is often deemed as a major strategy and the driver that propels economic growth. The current development trend and direction of the manufacturing industry is "Smart Manufacturing", in which many nations have undertaken this innovation of the manufacturing industry. Examples include the Advanced Manufacturing Partnership, AMP, policy in the United States and the Industry 4.0 policy in Germany. In 2015, Taiwan also proposed the Productivity 4.0 policy to promote the intellectualization of manufacturing.
Smart manufacturing is the manufacturing paradigm that combines technology, knowledge, information and human ingenuity and creativity in the development and implementation of manufacturing. The process of formulating such intelligence includes: capturing and recording the continuously generated raw data of the processes of business and supply chain operations; assigning specific formats and meaning to the data, making it meaningful; extracting valuable knowledge from the massive quantity of data with scientific and systematic methods; using this knowledge as the basis for generating decisions on actions that can assist in reaching the established objectives. With the application of smart manufacturing, business competitiveness may be continuously strengthened. First, businesses can improve productivity and reduce costs while enhancing production safety and reducing the impact on the environment through data connections and integration between manufacturing processes and business operations. Second, with the help of computer simulations and various manufacturing process models, solid and reliable manufacturing intelligence can be created to satisfy customer demands for customized, adaptable, and fast production. Last, businesses may increase innovation capacity within the manufacturing processes and the products via the continuous accumulation of manufacturing intelligence.
In practical application, due to the differences in each business's operational strategies and methods, and in the owned or applied resources, various solution programs are required to implement intelligent manufacturing. Of the various application programs for intelligent manufacturing in use, the development and introduction of the Cyber-Physical System, CPS is the focus promoted by the AMP policy of the United States, the Industry 4.0 policy, and the Productivity 4.0 policy.
A manufacturing system that is constructed on the basis of CPS is also called a Cyber Physical Production System, CPPS. Major elements included in CPPS are: sensors, information processing modules, actuators, and human machine interfaces. When in operation, information within the various manufacturing systems will form a loop with these constituent elements. The difference between CPPS and the current automatic control manufacturing systems in general is that with CPPS, the information processing modules of CPPS connect digital information, such as digital manufacturing (CAD/CAM/CAE, etc.), Product Lifecycle Management (PLM) systems, Manufacturing Execution Systems (MES) or Enterprise Resource Planning (ERP) systems to obtain information relating to design and manufacturing from equipment, parts, products, process, and personnel; the sensors of the system capture real-time data from the manufacturing system, environment and personnel, and then, the two types of data are combined to form control commands through various data computing and processing procedures (such as control procedures, algorithms, and big data analysis), followed by the use of actuators to affect the equipment and environment. Therefore, CPPS has adaptive, durable, fault-tolerant, user-friendly features, and generates decisions on the basis of predictions.
In the application of smart manufacturing, the structural make-up of CPPS includes: (1) the cyber space that consists of data, models, algorithms, and various application software, such as engineering knowledge banks, computer-aided design/analysis/manufacturing/simulation software, information capturing systems, manufacturing execution systems, product life cycle management systems, enterprise resource planning systems, visualized human machine interface systems, and cyber security management systems; (2) the physical space that consists of manufacturing equipment, energy supply systems and other physical equipment, such as CNC machine tools and other specific tools, intelligent robots and automation peripherals, and environmental detection and control systems including all the contained sensors and actuators; (3) the network system that connects the physical space and cyber space, including: wired and wireless networks, LAN, and WAN; various data servers and information control systems; and the human machine interface that comprises computers, mobile devices, and wearable devices; (4) CPPS has the ability to connect with the CPS of other enterprises, up-stream suppliers, or down-stream customers via networks or to obtain services, such as distributed computing or big data analysis via the cloud system.
In terms of CPPS development and application, the German Research Centre for Artificial Intelligence, DFKI, leads the SmartFactoryKL, an intelligent manufacturing verification platform, and brings together many enterprises including Cisco, Siemens, Festo, and Bosch Rexroth allowing information communication technology, CPS technology, and modules and systems developed by each company to be tested and validated in a close-to-real-life manufacturing environment, so that these technologies may be applied to actual manufacturing production in the future.
Bosch Rexroth has set up an intelligent production line for hydraulic valves in its Hamburg Germany factory to validate CPS technology and its system applications developed by the company. The innovative technologies employed on an intelligent production line include: using RFID to confirm product specifications, thereby achieving flexible control of production planning and work in progress; the function of a workstation is adjustable according to the operator's requirements; information on the production status is available in real-time, and an Active Cockpit board that makes it easy for operators to adjust control settings.
To catch-up with the trend of intelligent manufacturing, there are domestic research institutes working with manufacturers on the development and introduction of CPS; however, there is still a lack of concrete and systematic studies on CPS application effectiveness, application program models, and related key technologies. To improve CPPS technology development and application in Taiwan, thereby facilitating speedy development of the intelligent manufacturing industry, the aforementioned issues require in-depth exploration.
For the manufacturing industry in Taiwan, the requirements that CPS applications must have in order to facilitate the improvement of competitiveness include: reducing overall manufacturing costs, shortening product development time and manufacturing processes, improving product quality, meeting the requirements of diversified production, and improving product and service values. To meet these requirements, the CPS application programs needed are: equipment operation control and maintenance prediction, digital design and simulation, smart production equipment and procedures, smart products, smart tools and resource management systems, smart quality control tools and systems, smart HMI, smart workstations, energy management systems, modularization, and plug-and-play settings. These CPS programs may also be required to be compatible with IoT and Big Data applications.
However, when compared with the status of the international development of CPS, the domestic technology development and industry-wide acceptance of the vast majority of the CPS application programs still require persistent efforts to catch-up. In terms of the developmental strategies of CPS application programs in the field of manufacturing, three directions are recommended for focus with promotional efforts: (1) apply the existing components and systems to the application of CPS programs, such as applying RFID technology used in the warehousing and logistics Industry to the production and manufacturing process of smart products, or even going further by connecting to IoT to improve application effectiveness; (2) use existing elements along with innovative integration methods to develop new CPS application programs; such as installing sensors, data transfer networks, and analysis software for data conversion on existing equipment, in order to add new functionalities of monitoring operations and predicting maintenance requirements; (3) develop applications that focus specifically on industry requirements and market conditions, and use government resources and industry research investment for those CPS application programs that can only be implemented with new technologies and new components and system integration, such as smart tools and resource management systems, modularized facility, and plug-and-play settings.
R&D on various CPS technologies that focus on actual industry requirements may contribute to more cooperation between industry, academia and research. In addition, with the development of CPS and the validation of demonstration platforms, various solution programs may be formulated, so that technology R&D may be truly implemented to industry applications and gain wide acceptance.

加密貨幣
比特幣BTC 7082.06 -70.24 -0.98%
以太幣ETH 141.60 -1.51 -1.06%
瑞波幣XRP 0.214036 -0.01 -5.01%
比特幣現金BCH 204.92 -2.44 -1.18%
萊特幣LTC 43.11 -0.65 -1.49%
卡達幣ADA 0.036074 0.00 -1.58%
波場幣TRX 0.013880 0.00 -1.06%
恆星幣XLM 0.050935 0.00 -0.90%
投資訊息
相關網站
股市服務區
行動版 電腦版
系統合作: 精誠資訊股份有限公司
資訊提供: 精誠資訊股份有限公司
資料來源: 台灣證券交易所, 櫃買中心, 台灣期貨交易所
依證券主管機關規定,使用本網站股票、期貨等金融報價資訊之會員,務請詳細閱讀「資訊用戶權益暨使用同意聲明書」並建議會員使用本網站資訊, 在金融和投資等方面,能具有足夠知識及經驗以判斷投資的價值與風險,同時會員也同意本網站所提供之金融資訊, 係供參考,不能做為投資交易之依據;若引以進行交易時,仍應透過一般合法交易管道,並自行判斷市場價格與風險。
請遵守台灣證券交易所『交易資訊使用管理辦法』等交易資訊管理相關規定本資料僅供參考,所有資料以台灣證券交易所、櫃買中心公告為準。 因網路傳輸問題造成之資料更新延誤,精誠資訊不負交易損失責任。