At present, most of the researches on domestic intelligent manufacturing are research on foreign experience and general inductive summarization research, and most of them focus on theoretical discussion and lack of support from empirical data. In addition, the analysis of related phenomena still basically stays at the level of problem description and countermeasure suggestion. However, due to the lack of empirical data and the support of practical experience, the proposed countermeasures are relatively macroscopic and the reality is not targeted. Country and region distribution The country with the highest number of publications in the field of intelligent manufacturing research is the United States, with 412 papers, accounting for 26.3% of the total literature, and has a very obvious academic advantage. Secondly, the United Kingdom, Germany and other European regions, published a total of 346 papers, accounting for 22.1%; again in Asia, represented by Japan and South Korea, the level of research in this field is also high, accounting for 17%. Quantity distribution The number of documents for each year of intelligent manufacturing retrieved in the WebofScience core collection database. Generally speaking, the number of published papers in this field of research abroad has maintained a steady growth trend. In particular, the number of papers has increased significantly since the 2008 financial crisis. This shows that the field of intelligent manufacturing research has great vitality and is manufactured globally. The research team is also growing and expanding. Quantity distribution Compared with foreign countries, domestic intelligent manufacturing research started late, starting in 1992. In recent years, under the background of the transformation and upgrading of “Made in Chinaâ€, intelligent manufacturing has received more and more attention from all walks of life and has become a hot topic in the current manufacturing field. The number of documents in this field has entered a period of rapid growth, but the total amount is still small. . There were less than 30 articles in 2014. Research institute A total of 176 articles were from 40 research institutions, of which 15 were published (more than 5 papers (such as Huazhong University of Science and Technology, Zhejiang University, Xi'an Jiaotong University, Tsinghua University, Nanjing University of Aeronautics and Astronautics, etc.), and a total of 96 articles were published. The total amount of literature is 54.5%. It can be seen that these research institutions can be regarded as the core unit of intelligent manufacturing research. Do a one-step analysis of foreign node literature, summarizing the hot spots of foreign intelligent manufacturing research as follows: 1. Intelligent design Gillenwater and others have studied various intelligent design methods and methods such as computer-aided manufacturing/design (CAM/CAD), networked collaborative design, and model knowledge base from the perspective of information science, and applied them to enterprise product development and design. To support the intelligent improvement and optimization of the design process. 2, intelligent production From the perspective of manufacturing science, Prickett and others have applied intelligent equipment and intelligent technologies such as distributed numerical control systems, flexible manufacturing systems, and wireless sensor networks to the production process to support the intelligentization of the production process. Ruiz et al. introduced multi-agent systems (MulTI-agentSystems) into the simulation of production process to meet the new requirements of intelligent manufacturing production environment. Finally, the advantages of the simulation method were verified by examples. 3. Intelligent manufacturing services Tso and Hu studied intelligent manufacturing services from the perspective of service science. It mainly includes product service and production service. The product service mainly focuses on product sales and after-sales installation, maintenance, recycling, and customer relationship services. Production services mainly include production-related technical services, information services, and financial insurance services. Logistics services, etc. 4, intelligent management From the perspective of management science, Choy and Su studied intelligent supply chain management, intelligent perception of external environment, performance prediction of production equipment and intelligent maintenance, intelligent enterprise management (human resources, finance, procurement and knowledge management, etc.). The ultimate goal is Achieve all-round intelligence in enterprise management. At present, foreign intelligent manufacturing research has been relatively mature. The research content covers all aspects of intelligent manufacturing research, presents multi-perspective, dynamic trend, multi-disciplinary cross-integration; research methods have gradually changed from qualitative research methods such as early concept description and theoretical discussion to computational simulation. Data survey, case study and other experimental methods and quantitative analysis methods; research background has begun to focus on the impact of different humanities and social environment on intelligent manufacturing, in line with the development of intelligent manufacturing interdisciplinary, cross-cultural trends, and enhance the realistic relevance of research. Summarize the hot spots of intelligent manufacturing research in China as follows. 1. Research on intelligent manufacturing theory The research hotspots in this part mainly discuss the concept, connotation, mode, development path and influencing factors of intelligent manufacturing. Due to the continuous development of manufacturing technology, information technology, and network technology, the concept and connotation of intelligent manufacturing are also constantly changing, enriching and perfecting. Based on the research background and development status of intelligent manufacturing, Yang Shuzi and Ding Hong pointed out that the field of intelligent manufacturing research mainly includes Intelligent Manufacturing Technology (IMT) and Intelligent Manufacturing System (IMS), while emphasizing that intelligent manufacturing belongs to the 21st century advanced manufacturing category. Double I (IntegraTIon & Intelligence) is an important feature. Although the academic community has different emphasis on the understanding of intelligent manufacturing, it can be summarized as two levels in general, one is the intelligentization of manufacturing equipment and products, and the other is the intelligentization of manufacturing process and management. The former focuses on manufacturing objects, while the latter focuses on manufacturing subjects. The latter's research is receiving more and more scholars' attention. In view of the mode, development path and influencing factors of intelligent manufacturing, domestic scholars mostly carry out corresponding research on the basis of learning from foreign advanced experience. For example, Zhang Shuangsheng analyzes the new problems faced by enterprises in the context of global informatization, and proposes to learn from the experience of developed countries to transform the production mode of Chinese enterprises. 2. Research on intelligent manufacturing and enterprises This part mainly discusses issues such as enterprise integration, enterprise intelligence upgrade, enterprise management intelligence, and enterprise operation performance in the intelligent manufacturing environment. For example, on the basis of analyzing the development trend of manufacturing industry and the problems faced by enterprises, Hu Chunhua et al. proposed the overall goals and principles of enterprise integration in the intelligent manufacturing environment, as well as the information model and implementation technology of enterprise integration. Yi Kaigang and Sun Wei argued that intelligent manufacturing can effectively break the “low-end locking†path dependence of private enterprises, and proposed the path of private enterprises to implement intelligent manufacturing strategies from the aspects of external policy support and internal change. Cai Weimin took the tire manufacturing enterprise as an example to study the relationship between intelligent manufacturing and business operation performance, and carried out statistics from the aspects of production efficiency, energy saving and emission reduction, and service quality. The analysis shows that intelligent manufacturing can help manufacturing enterprises improve quality and efficiency. 3. Research on intelligent manufacturing and industry This part mainly studies the relationship between smart manufacturing and manufacturing transformation and upgrading, mainly based on qualitative. For example, Ding Chun and Li Junyang started from the motivation, content and prospects of Germany's “Industry 4.0â€, introduced the characteristics and development trends of German manufacturing intelligence, and gave suggestions on China's response to global manufacturing changes. Du Xiaojun and Zhang Xujing studied the upgrading path of manufacturing in foreign developed countries, and summarized the enlightenment and reference significance of foreign experience to the transformation and upgrading of China's manufacturing industry. Chen Xueqin's reversal of high-end manufacturing to developed countries, low-end manufacturing to Southeast Asia and other countries, pointing out that China's manufacturing industry needs to be upgraded from factor-driven transformation to efficiency-driven, innovation-driven, and emphasizes the need to actively carry out smart manufacturing pilot demonstrations. To enhance the intelligence of the manufacturing industry and promote industrial upgrading. The above results show that smart manufacturing has become a key development area for industrial transformation and upgrading in developed countries. China must also pay enough attention to actively carry out relevant research and practice. 4. Research on other aspects of intelligent manufacturing This part mainly discusses topics such as intelligent manufacturing and management innovation, corporate social responsibility and other aspects, and the research content is broader. For example, Chen Jiagui studied the development of China's management science in the background of the development history of foreign management studies, and pointed out in the article that "new technologies represented by big data, intelligent manufacturing, and mobile Internet are stimulating organizational structure, manufacturing models, etc. A series of changes in the management paradigm." Cloud manufacturing is a new model of network-based intelligent manufacturing based on knowledge and service-oriented, which was borrowed from the idea of ​​cloud computing by academician Li Bohu. Further, Yao Xifan et al. proposed smart manufacturing on the basis of cloud manufacturing, manufacturing, and enterprise 2.0, and explored the realization path from cloud manufacturing to smart manufacturing. 1. Theoretical research At present, the domestic research on intelligent manufacturing theory is mainly a general description of the intelligent phenomenon of manufacturing industry, a shallow analysis of the transformation path and a simple summary of the development model. There is no deep theoretical discussion, and the research depth is still insufficient. The main performances are: the definition of the connotation and extension of intelligent manufacturing is vague and not clear enough; there is no complete analysis of the influencing factors of the intelligent transformation and upgrading of manufacturing industry; the discussion on the development path and mode of intelligent manufacturing is more focused on the phenomenon description level. There is a lack of in-depth analysis of micro-mechanisms and internal dynamics; there are only a few aspects of the organizational structure and management changes of enterprises in the intelligent transformation, and no systematic discussion has been made. Therefore, in the future work, it is necessary not only to elaborate and study the connotation and extension of intelligent manufacturing, but also to pay attention to the path, mode and law of intelligent manufacturing development in combination with innovation theory, operation management theory and organizational theory. In-depth and systematic research lays a solid theoretical foundation for follow-up work. 2, cross research The field of intelligent manufacturing research involves many disciplines such as economics, management, manufacturing science, and information science. Intelligent manufacturing is a complex and systematic transformation process, and it is also a process of cross-disciplinary and in-depth integration of multiple disciplines. However, domestic scholars are now concerned with issues related to the intersection of intelligent manufacturing, such as intelligent management, intelligent services, and intelligent processes. Research on factors such as Chinese is less or still blank. Therefore, domestic scholars should pay attention to cross-disciplinary integration in the follow-up study. For example, according to the characteristics of intelligent manufacturing, the idea of ​​intelligent supply chain is introduced to study the intelligent connection and management optimization of all aspects of manufacturing; intelligent manufacturing emphasizes the "people-oriented central idea, so it can be recruited, trained, professional development, etc. Start with the problem and discuss how human resource management can support and serve the intelligent transformation of manufacturing enterprises. In addition, we can learn from the behavioral science and marketing theory to study the consumer's psychological tendency and choice preference from the micro level. It is worth mentioning that At present, most of the consumer behavior research in the field of intelligent manufacturing is based on the Western cultural context, lacking the "Chinese context" and comparative research under the cross-cultural context. This needs to attract the attention of Chinese scholars, consumer behavior in the Chinese context. Conduct research to form research conclusions or comparative studies with local consumption culture characteristics, thus providing guidance for innovative research and development of Chinese enterprise intelligent products. 3. Empirical research At present, most of the researches on domestic intelligent manufacturing are research on foreign experience and general inductive summarization research, and most of them focus on theoretical discussion and lack of support from empirical data. In addition, the analysis of related phenomena still basically stays at the level of problem description and countermeasure suggestion. However, due to the lack of empirical data and the support of practical experience, the proposed countermeasures are relatively macroscopic and the reality is not targeted. Therefore, in future research, domestic scholars should deeply understand the development status of intelligent manufacturing through enterprise research, field interviews, questionnaires, etc. according to the industrial characteristics of various manufacturing industries, and use mathematical statistics and econometric methods. The empirical research on the mode, path and influencing factors of intelligent manufacturing provides a more scientific basis for further analysis and resolution of related issues in the field of intelligent manufacturing. Therefore, the research on the empirical aspects of smart manufacturing is another topic worthy of attention. The manufacturing standard of the European standard plug (two rounds) is carried out according to the CE standard. European standard plugs are used in most European countries such as Germany, Austria, Holland, Sweden, Norway, Finland, and Russia. 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