The application and thinking of big data in intelligent manufacturing

Source：Updated：2017-07-06 08:24:57

The new technological revolution, the new industrial revolution is gaining momentum, and the era of "Internet plus" artificial intelligence is now being thought to be coming. The Internet is a kind of ubiquitous Internet, including traditional Internet, Internet of things, mobile Internet, satellite network, world integration network, new generation of Internet, etc. "Internet + artificial intelligence" the rapid development of the core technology is causing application domain (the national economy, national economy and people's livelihood and national security, etc) of new pattern, new methods and new ecosystem. 
 
The application and thinking of big data in intelligent manufacturing 
Manufacturing industry is no exception, of course, as is known to all, like 4.0 German industry plan, the national network for manufacturing innovation (NNMI) plan, 2025, and made in China "Internet +" plan of action, actively promote the manufacturing and the depth of the Internet. Then the core problem is to develop the technology, industry and application of intelligent manufacturing. 
 
About the wisdom of cloud manufacturing, have so a period of words, based on the ubiquitous network, with the help of emerging (big) manufacturing technology, information and communication technology, intelligent science and technology and manufacturing applications of four kinds of technologies such as depth fusion of digital, networked, intelligent technology, constitute a user-centered the wisdom of the unified management of manufacturing resources and capabilities of cloud services (man/machine/material/environment/information interconnection services), the user terminal by wisdom and wisdom cloud manufacturing service platform can be anywhere at any time on-demand access to intelligent manufacturing resources and ability, to make the whole system, the whole life cycle activity (industrial) in man, machine, material, environment, information independently wisdom to perception, interconnection, collaborative, learning, analysis, cognitive, decision-making, control, and implementation, to manufacture the system and the whole life cycle activity of person/organization, management, technology/equipment (three elements) and the information flow, logistics, cash flow, knowledge flow, service flow (five flow) integrated optimization; Formed a kind of based on the ubiquitous network, users as the center, man/machine/material/environment/information fusion, interconnection, value-chain, co-ordinated, personalized (custom), flexibility, and the wisdom of socialization in interconnection, a new mode and "data driven, Shared services, cross-border integration, wisdom, peoples' innovation of new formats; In turn, we can improve the market competition ability of enterprises (or groups) by making products and service users in high efficiency, quality, saving, green and flexible. 
 
There, we have wisdom cloud patterns, methods, forms, characteristics, contents and goals made specific provision, and reflects the depth of three kinds of fusion: take the user as the core of man, machine, material, environment information fusion depth; Digital, networked, intelligent depth fusion; The deep integration of industrialization and informatization. 
 
Intelligent cloud manufacturing is especially embodied in a kind of parallel, collaborative, real-time, interconnected and intelligent innovation based on big data. 
 
The application and thinking of big data in intelligent manufacturing 
Based on the system of such an idea, we call it the intelligent cloud manufacturing system, or the intelligent manufacturing cloud, or the industrial cloud, or the industrial Internet. Such a system first proposes a conceptual model, consisting of three parts: a resource, capacity, and product that is made by intelligence; The second is to make clouds of wisdom; The third is the application of the full life cycle. One core is a platform for smart cloud manufacturing, with three types of people -- providers of services, service consumers, and users of the cloud. As a business, you can take care of the three. 
 
Under such a concept model, we put forward the system structure, the essence is a kind of wisdom cloud manufacturing system based on the ubiquitous network and their combination, man/machine/material/environment/depth of information fusion, provides the manufacturing resources and wisdom ability to the wisdom of on-demand manufacturing services anytime and anywhere interconnected system. It is an intelligent interconnection manufacturing system of "Internet (cloud) + intelligent manufacturing resources and capabilities"/machine/object/environment/information. 
 
About the big data, first of all to talk about making cloud big data source among them, it includes the whole life cycle of manufacturing data, the management of the enterprise management and technology of product data of the equipment. We can divide it into structured, unstructured, and semi-structured, or mixed structured data, or from frequency, static, dynamic, and real-time. 
 
Intelligent manufacturing is important for big data, and we have six types of technology to support it. These six technologies simply say that in the intelligent manufacturing cloud, big data can be cleaned, can realize massive data distributed storage, and fast access to all kinds of storage data. The analysis of big data requires that it be directed by the application target, and find the corresponding special algorithm and model. Visualizations can be integrated to show multi-latitude data, with strong interactions, and the need for multi-type standards is urgent. Privacy protection, retroactive protection, especially business security, are also important. 
 
The application and thinking of big data in intelligent manufacturing 
Through practice, big data is indeed a strategic resource, and it is a basis for intelligent manufacturing. With its research and practice, I believe that basic theory, algorithm and decision analysis should be emphasized. Big data cannot rely on big data, artificial intelligence technology, system engineering technology and so on need to be deeply integrated. We should also pay more attention to the management mode of all kinds of activities in the whole life cycle of big data manufacturing, focus on the business model research of the sharing economy, and pay attention to safety technology and relevant standards.