Whether it is to revive old national manufacturing in Europe and America, or the transformation of China’s manufacturing industry promotion, engineering big data will play an irreplaceable role. Currently, the world’s major countries set off a new round of industrial revolution to “the integration of information technology and manufacturing” is a common feature to accelerate the development of a new generation of information technology , and promote its global industrial and in-depth system integration so as to seize the high ground of a new round of industrial competition. Whether it is to revive old national manufacturing in Europe and America, or the transformation of China’s manufacturing industry promotion, engineering big data will play an irreplaceable role.
What is the major industrial industry large data refers to data in the industrial field, around the typical intelligent manufacturing model, from sales to customer demand, order, planning, development, design, engineering, manufacturing, procurement, supply, inventory, shipping and delivery, the general term for all types of data and related technology and applications after-sales service, operation and maintenance, remanufacturing or recycling scrap the entire product life cycle all aspects of the generated data to large industrial product data as the core, greatly extended the traditional industrial data range also includes industrial big data technologies and applications. Industrial Big Data with dual data, that is, the value of property and property attributes. On the one hand, by key technology industry and other big data analysis to achieve the level of intelligence to enhance all aspects of design, technology, production, management, services, customized to meet user needs, increase productivity and reduce production costs for enterprises to create quantifiable value; on the other hand, these data have a clear relationship between ownership and value of the assets, companies can determine the specific use and boundary data, the data property attributes obvious. Industrial property value of big data is essentially based on key technologies of large industrial data acquisition, storage, analysis, industrial production, operation and maintenance, the service process data to realize the value of upgrading or realization; Industrial Property Rights and the emphasis on big data by management mechanism and management methods to help industrial enterprises clear data assets catalog distributed data resources to determine ownership boundaries, to provide support for the value of the dig. Industrial Big Data industry status quo is the basis and pillar industry of the national economy an important symbol , but also economic strength and competitiveness of a country. In recent years, as China’s industrial big data “intelligent manufacturing” and “Industrial Internet” key technical support as well as an important foundation for the integration of two of concern. Party central committee, The State Council issued a series of “big data”, “integration of the two” “Manufacturing integration of Internet and” comprehensive policies and instructions, in which the big data industry development put forward a clear requirement, the overall direction of big data technology China’s industrial development, industrial application and standardization process.
National Industrial Big Data policy
From the supply side, major industrial data continued to improve the supply side, the emergence of a number of new special expertise enterprises to become the backbone of China’s industry to promote the development of big data. First, the development of traditional industrial manufacturers of digital, software, platform, there has been derived enterprise group with strong data aggregation capabilities, such as aerospace cloud network, Internet and other roots; the second is to penetrate the enterprise software industry, emerging technology-based companies, such as Kunlun Newell, East Fang Guoxin and other enterprises in the industrial data modeling, analysis and other fields continue to breakthroughs in core technologies; third is to actively enter the Internet business industry, such as Ali launched the “eT industry brain” and other products service, Tencent launched the industrial internet “Chalet cloud” platform. From the demand side, as one by one the national strategy to promote smart manufacturing, industries such as the Internet, customization, network extension and intelligent design, production, service and other new models emerging for the industry Big Data technologies, products, platforms demand is increasing, and offers plenty of scenarios for industrial large data. However, in our industry Big Data industry continuously optimized to enhance co-workers, still need to clearly recognize that there is still China’s industrial large data objects associated data can not be obtained, the format does not agree that data ownership is not clear, the data barriers difficult to break, the whole industry chain data application issues such as inadequate. The main reason is that, first, in our domestic industrial software, insufficient supply of the core technology associated equipment was high, while the foreign reader device is not open, the data can not be read or multiple formats, not directly; second Control Engineering Copyright , the face of body mass, widely distributed, complex structure, diverse types of industrial data, the current lack of overall data resource management industries, difficult to manage all types of internal and external data, but can not fully analyze and use. Third, the lack of available, easy to use, trusted industry big data platform, it is difficult to make full use of the data on the whole industry chain downstream industry, in order to achieve various industrial elements of human, machine, etc., as well as upstream and downstream industry chain business processes links between enterprises optimize the implementation of intelligent interaction and promote the industrial production of a wider range of resources, and collaborative manufacturingExtension services. Intelligent Manufacturing relations relations with intelligent manufacturing, intelligent manufacturing industry and the Internet is the carrier and produces large industrial sources of data, data that all aspects of information technology, automation systems produced form the subject of large industrial data. On the other hand, intelligent manufacturing and product data is the ultimate goal of industrial application scenarios and large data formation. Industrial Big Data describes the real situation of intelligent manufacturing stage of production, provide a valuable data resource for mankind to read, analyze and optimize manufacturing, to achieve intelligent manufacturing intelligence sources. Combined with large industrial data, artificial intelligence models and mechanistic models, which can effectively enhance the use value of the data, it is one of the key technologies to achieve higher order of intelligent manufacturing.
large industrial standard positioning data in a standardized Intelligent Manufacturing System
Scene relationship with the intelligence and the Internet industry manufactured differ, the Internet industry is more concerned about how the industry-oriented manufacturing enterprises, through the “Smart + “open, integrated, collaborative industry chain, gave birth to the customization, network cooperation, extension of service of other new models, so as to enhance the efficiency of enterprises, the whole industry value chain or industry cluster. And intelligent manufacturing Similarly, the Internet is both an important source of industrial Industrial Big Data, Big Data is an important industrial application scenarios. Especially in the construction of industrial internet platform, big data industry plays an important role. In the industrial architecture in the Internet platform capabilities, industry Big Data technologies, big data systems industry is an important industrial core Internet platform layer. In one aspect, a data processing means of large industrial pretreatment, analysis techniques, based on the large industrial data system, the platform layer to achieve mass data edge layer, IaaS layer generated by storage and management of high quality; on the other hand by industrial large data modeling, analysis, visualization techniques , the data combining industrial experience, build mechanism model to achieve a variety of analytical applications support the application layer. How large industrial quality data management data quality management of industrial large data exists many problems. First, data distortion and misalignment. Subject industrial field series of harsh conditions, OT in the industrial field, the field was linked network, manufacturing equipment, process control devices are present to varying degrees data distortion. Second, data consistency is poor. For large industrial data from the IT domain, due to industrial enterprises existing information systems there are different degrees of”The system everywhere,” the problem is difficult to adopt effective means of control in the production process to guarantee data consistency in various industrial IT system generated data. Third, the lack of historical data “regeneration” mechanisms. “Regeneration” of the industrial history data will help to improve industry lifecycle management capabilities. Fourth, the lack of standardized data quality management framework. In various business scenarios, various structured and unstructured data sets to be shared and used by multiple users. Fifth, data quality means of compensation has not yet been widely used. Quality management needs of industrial enterprises Industrial Big Data Big Data industry to establish a sound quality management organizational structure, clear data ownership, managers, users; face different industrial large data quality problems, develop quality definition, grade, processing and re-set mechanism, develop a standardized data quality improvement processes, data quality management to form a variety of application scenarios for large data industry closed. Data Security Management Big Data technologies used in industry to bring huge business benefit, but industry data for large industrial enterprises, both opportunities and challenges, the huge economic benefits to the enterprise colleagues, of its own security problems but also allow enterprises face enormous risks. On the one hand, due to the protocol of industrial control systems use more plain text, and more industrial environment using a common operating system and does not update network security awareness of employees is not high, coupled with the diversity of sources of industrial data, which have different formats and standard, so there are many loopholes that can be exploited. On the other hand, in the industrial environment, data security have higher requirements, any occurrence of information security incidents are likely to threaten the safe operation of the industrial production, the safety of personnel and even national security. Thus, large industrial research data security management, to strengthen the security of industrial enterprises has become particularly important. Industrial Big Data security is a comprehensive issue across multiple industries and disciplines, it requires a combination of multi-dimensional laws and regulations, industry characteristics, industrial technology research. Considering the great value of industry data Industrial Big Data platform carried, so the entire technology industry data security system is divided into large industrial large data access security, big data platform for industrial safety, industrial application data security big three levels. Industrial field data collection, transmission, conversion process provides a security mechanism in which large industrial data access security; Industrial Big Data platform security industry data storage, computing foundation to provide security; industrial applications of large data access security for the upper applicationThe data provide strong security access control. Industrial Big Data application security should consider several aspects: support application access signature mechanism to ensure that only authorized applications to submit data access request; support demand access to application data, prevent expansion of the scope of data access; support application behavior in real-time monitoring, real-time interception application attacks included CONTROL ENGINEERING China Copyright , including data access scope, frequency, SQL statements legitimacy; establishment of a complete application flow management mechanisms, including the submission of the application, implementation, monitoring, results audit, to ensure the approval of each application, the effective combination of control on the responsibility to avoid malicious manipulation or misuse of high authority staff behavior; build a comprehensive application testing environment and test specifications to ensure compliance with security policies apply only to approve execution.