In 2017, China's intelligent manufacturing will be accelerated

2016 is the first year of China's systematic promotion of intelligent manufacturing, intelligent manufacturing has become the main direction of the implementation of "Made in China 2025", and plays a key role in promoting the transformation and upgrading of China's manufacturing industry and accelerating the process of moving towards the middle and high-end. In 2017, with the further optimization of the intelligent manufacturing policy environment, the continuous breakthrough of key common technologies and core equipment, and the gradual improvement of the intelligent manufacturing standard system, the new generation of information and communication technology will accelerate the integration with the production process, management process, equipment and products, and China's intelligent manufacturing will be accelerated.

Sany, as a leading enterprise in intelligent manufacturing, has the responsibility and obligation to drive the development of regional intelligent manufacturing industry. In 2016, Sany Group actively participated in the mass entrepreneurship and innovation action plan, and invested 2 billion yuan to build an innovation and entrepreneurship base with global influence - Sany Zhongzhi New Town. With the development idea of "Internet + intelligent manufacturing + internationalization + finance", through the construction of maker space, science and technology business incubator, and intelligent manufacturing industry accelerator carrier, Hunan Sany Venture Capital Fund was initiated to build and operate a number of industrial service platforms, cultivate and incubate more than 300 enterprises, and form a first-class and nationally renowned innovation and entrepreneurship demonstration base in central China and an Internet + intelligent manufacturing industry highland!

1. Basic judgment on the situation in 2017

(1) Accelerate intelligent transformation in key areas of the manufacturing industry

With the accelerated integration of the new generation of information and communication technologies such as the Internet of Things, cloud computing, and big data with advanced manufacturing technology, and the continuous promotion of the special action of intelligent manufacturing pilot demonstration and intelligent manufacturing, the intelligent transformation of key manufacturing areas with good basic conditions and strong demand for machinery, automobiles, aviation, petrochemicals, steel, home appliances, food, electronic information, etc. The penetration rate of digital R&D and design tools in manufacturing enterprises above designated size has reached more than 58%, and the numerical control rate of key processes has reached more than 33%. In terms of enterprises, Weichai Power, Jiujiang Petrochemical, Haier Group, Mengniu Dairy, Dongguan Jinsheng and other enterprises have built a number of intelligent factories/digital workshops, and Shaanxi Drum Power, Shenyang Machine Tool, COMAC, Qingdao Red Collar, Changhong Group and other enterprises have actively carried out intelligent manufacturing model innovation, and the foundation for the intelligent transformation of China's manufacturing enterprises has been initially established.

In 2017, with the release and implementation of policies such as the "Intelligent Manufacturing Development Plan (2016-2020)", "Intelligent Manufacturing Engineering Implementation Guide (2016-2020)", "National Intelligent Manufacturing Standard System Construction Guide (2015 Edition)" and other policies, the continuous promotion of intelligent manufacturing pilot demonstration special actions, intelligent manufacturing special actions and other actions and the gradual improvement of local government support policies, the policy environment for the development of intelligent manufacturing in China has been further optimized, and the development foundation has been further consolidated. It is expected that the intelligent transformation of key areas of China's manufacturing industry will be further accelerated, the construction of smart factories/digital workshops will be accelerated, and new models of intelligent manufacturing will continue to emerge, mature and rapidly promote and apply.

(2) Intelligent manufacturing equipment (system) is developing rapidly

Driven by China's huge demand market, high-end CNC machine tools and industrial robots, additive manufacturing equipment, intelligent sensing and control equipment, intelligent detection and assembly equipment, intelligent warehousing and logistics equipment and other intelligent manufacturing equipment have made positive progress, and core industrial software such as industrial design simulation software, industrial control software, and enterprise management software have developed rapidly. Taking industrial robots as an example, in 2015, China's industrial robot sales exceeded 75,000 units, a year-on-year increase of 36.6%, and it has become the world's largest industrial robot application market of *5656 for three consecutive years. Among them, the share of independent brand industrial robots in China's market exceeded 30% for the first time, showing a very rapid development trend.

In 2017, with the acceleration of the intelligent transformation of China's manufacturing industry and the introduction and implementation of a series of policies such as the "Robot Industry Development Plan (2016-2020)" and the "Special Action for the Innovation and Development of the Intelligent Hardware Industry (2016-2018)", intelligent manufacturing equipment and core industrial software will continue to develop rapidly. In addition, with the deep integration of emerging technologies such as mobile Internet, big data, and cloud computing with manufacturing equipment, the development trend of servitization of equipment manufacturing industry is becoming increasingly significant, which is manifested in the following two aspects: first, more and more equipment manufacturing enterprises provide users with online monitoring, fault warning, fault diagnosis, predictive maintenance, operation optimization, remote upgrade and other services by building a remote operation and maintenance service platform for intelligent equipment/products; Second, the core enterprises of the industrial chain can build an Internet-based manufacturing resource collaboration platform, integrate the relevant management information systems of upstream and downstream enterprises in the industrial chain, realize the sharing of manufacturing resources such as R&D and design, production capacity and service capabilities, and carry out parallel organization and collaborative optimization of key links in the manufacturing process.

(3) The supply capacity of smart products has been further improved

At present, the field of smart products is booming, and smart wearable devices, smart home devices, smart service robots, smart vehicle equipment, and intelligence have been initially formeddroneand other large-scale product fields. In 2015, the global smart wearable shipments were 78.1 million units (IDC statistics), the virtual reality industry was about 1.54 billion US dollars, the market size of intelligent service robots exceeded 8 billion US dollars (IFR estimated data), and the market size of intelligent vehicle equipment is also growing rapidly. China's smart product field is developing synchronously with the world, and the shipment scale of smart wearable devices, virtual reality, smart home equipment and other products has exceeded 10 million, and the market growth of some products is faster than that of the world. In the fields of smart wearable devices and smart drones, a number of leading enterprises with the best advantages in scale and technology have emerged.

In 2017, with the further enrichment of intelligent product functions, the gradual formation of user consumption habits, and the introduction and implementation of a series of policies such as the "Internet +" Artificial Intelligence Three-Year Action Implementation Plan and the Special Action for the Innovation and Development of Intelligent Hardware Industry (2016-2018), China's high-end smart wearable devices, smart on-board equipment, smart medical and health equipment, intelligent service robots and other intelligent product supply capacity will be further improved, and the functionality and ease of use of products will be further strengthened. Personalized and customized supply models will be rapidly popularized and applied, and value-added services and business models based on smart products will accelerate their development.

(4) A number of replicable and promotable new models of intelligent manufacturing have been initially formed

In the past two years, the government has continuously organized and implemented the pilot demonstration special action of intelligent manufacturing and the special project of intelligent manufacturing, and selected and supported 109 pilot demonstration projects and 156 new model application projects respectively, driving enterprises to actively explore new models of intelligent manufacturing, accelerating the penetration of information and communication technology into design, production, management, service and other links, and promoting the deep integration of intelligent manufacturing equipment, industrial software and enterprise production technology and management process. It is a new model of intelligent manufacturing that is more mature, replicable and promotable, such as intelligent factories in the petrochemical industry, integrated management and control of financial business in the cement industry, personalized customization in the garment industry, whole-process quality traceability in the dairy industry, and intrinsic safety production in the civil explosive industry.

The "Intelligent Manufacturing Engineering Implementation Guide (2016-2020)" proposes to "focus on cultivating five new intelligent manufacturing models, including discrete digital manufacturing, process-based intelligent manufacturing, network collaborative manufacturing, large-scale personalized customization, and remote operation and maintenance services, carry out experimental verification and pilot demonstrations in key areas, and fully promote them in the manufacturing industry when the conditions are ripe." "In 2017, with the acceleration of the intelligent transformation of China's manufacturing industry, the continuous implementation of intelligent manufacturing pilot demonstration transformation actions and intelligent manufacturing projects, a new generation of information and communication technology, intelligent manufacturing key technology and equipment, core industrial software, etc. are deeply integrated with the production process and management process of enterprises, and promote the continuous innovation of enterprise business models, which will accelerate the formation of a number of more mature, replicable and promotable new intelligent manufacturing models.

(5) The intelligent manufacturing standard system has been gradually improved

Standardization is an important foundation for the development of intelligent manufacturing and the starting point for promotion, the state issued the "National Intelligent Manufacturing Standard System Construction Guide (2015 Edition)", the establishment of the national intelligent manufacturing standardization coordination and promotion group, the overall group and the user consultation group. In addition, it has organized and implemented intelligent manufacturing projects for two consecutive years, and has successively supported 93 intelligent manufacturing standard development and test verification projects; In October last year, the Ministry of Industry and Information Technology announced the first batch of 12 national intelligent manufacturing standard plan projects such as "Intelligent Manufacturing System Architecture". The framework of the intelligent manufacturing standard system and the work promotion mechanism of multi-department coordination and multi-standard committee collaboration have been basically formed.

In 2017, with the continuous support of the intelligent manufacturing project, focusing on the bottleneck areas such as interconnection and multi-dimensional collaboration, we will organize and carry out research on basic common standards, key common standards and industry application standards for intelligent manufacturing, build a number of standard test and verification platforms (systems), and carry out the whole process of test and verification. In addition, it will also speed up the formulation and revision of intelligent manufacturing standards, comprehensively promote them in all fields of manufacturing, and gradually improve the intelligent manufacturing standard system. Please process industrial intelligence WeChat account: robotinfo to learn industrial intelligence knowledge

Second, several issues that need attention

(1) The level of autonomy of key technical equipment and software systems is not high

In recent years, China's intelligent manufacturing equipment and industrial software have developed rapidly, but the key core technologies and high-end equipment are highly dependent on foreign countries, and the ability of independent innovation is weak, which seriously restricts the development of China's intelligent manufacturing. 90% of industrial robots, 80% of integrated circuit chip manufacturing equipment, 40% of large-scale petrochemical equipment, and 70% of key equipment for automobile manufacturing rely on imports. Taking integrated circuit chips as an example, China's integrated circuit chip imports reached 230 billion US dollars in 2015, and the self-sufficiency rate of high-end chips was less than 10%. In addition, the independent innovation ability of CNC systems, engines and key components is weak, and the self-sufficiency rate of precision measurement technology, intelligent control technology, intelligent embedded software and other advanced technologies is low.

(2) The supply capacity of system solutions is insufficient

China has become the world's *5655 intelligent manufacturing demand market, but the supply capacity of intelligent manufacturing system solutions is insufficient, and there is a lack of system integrators with strong competitiveness. Affected by factors such as weak core technology, lack of talents, and single application fields, China's intelligent manufacturing system integrators are generally not large. In addition, the function of domestic intelligent manufacturing system solutions needs to be improved. From the perspective of enterprise system architecture, intelligent manufacturing solutions should include data acquisition layer, execution equipment layer, control layer, management layer, enterprise layer, cloud service layer, network layer, etc., and need to achieve horizontal integration, vertical integration and end-to-end integration. However, at present, there is no intelligent manufacturing solution provider in China that can integrate the entire architecture system.

(3) A multi-level talent team needs to be built urgently

Talent is the foundation of building a manufacturing power and the main body of manufacturing innovation. There is still a lack of talents in China in promoting intelligent manufacturing, which is manifested in the following aspects: First, there is a shortage of intelligent manufacturing talents, an unreasonable structure, and a lack of leading talents. Without the support of sufficient intelligent manufacturing talents, no one can operate smart factories, and there is a lack of management of emerging industry ecology. Second, the training of manufacturing talents is out of touch with the actual needs, the construction of the curriculum system is out of touch with the professional standards, the lack of long-term mechanism for school-enterprise cooperation, and the lack of compound talents with rich practical experience and knowledge structure. Third, the main role of enterprises in the development of manufacturing talents has not been fully exerted, and the enthusiasm is not high.

(4) The development path of enterprise intelligent manufacturing is not clear

Enterprises are the main body of the implementation of intelligent transformation, but the awareness and understanding of the connotation of intelligent manufacturing among domestic enterprises are quite different, and the development path of promoting intelligent manufacturing is not clear enough. Some enterprises think that intelligent manufacturing is the intellectualization of the production process, some think that it is the intellectualization of products, and some simply think that it is "production automation" + "management informatization". In the process of promoting intelligent transformation, some enterprises do not start from their own actual needs, but only focus on the introduction of industrial robots, automation equipment, etc., and carry out simple "machine substitution". In addition, some enterprises are prone to blindly seek perfection and bigness, rush into battle, and lack overall planning. In the future, guidance and guidance for enterprises to implement intelligent manufacturing should be strengthened through consultation, communication, training and other means.

3. Countermeasures and suggestions

(1) Strive to improve the level of innovation in intelligent manufacturing

First, for the development and application of key technologies and equipment for intelligent manufacturing, intelligent products, major complete sets of equipment, digital workshops/smart factories, and intelligent services, breakthroughs have been made in a number of key common technologies such as advanced perception and measurement, high-precision motion control, highly reliable intelligent control, and industrial Internet security. The second is to develop core industrial software related to intelligent manufacturing, break through bottlenecks such as modeling and simulation, management and control, lay out and accumulate a number of core intellectual property rights, and provide software support for the realization of intelligent manufacturing equipment and manufacturing processes. The third is to study the establishment of a number of manufacturing innovation centers, including intelligent manufacturing, robots, integrated circuits, additive manufacturing, etc., establish a market-oriented innovation direction selection mechanism, encourage innovation risk sharing, benefit sharing mechanism, and solve the "death valley" problem of technology research and industrial application. Fourth, we will accelerate the construction of major scientific research and experimental facilities such as research institutes, research centers, key experiments, engineering centers and engineering technology centers around the development needs of intelligent manufacturing in key areas, encourage enterprises to increase R&D investment, and strengthen the innovation of key technologies and equipment for intelligent manufacturing. Fifth, promote the construction of intelligent manufacturing public service platforms such as small and medium-sized enterprise service platforms and public technical service platforms, and enhance the ability to serve the industry.

(2) Accelerate the cultivation of intelligent manufacturing system integrators

The first is to take technology and capital as the link to form an industry-university-research-application consortium or industrial innovation alliance to promote close cooperation and collaborative innovation between enterprises in different fields such as equipment, automation, software, and information technology, and promote the division of labor and cooperation and common development of enterprises in all links of the industrial chain. The second is to support equipment manufacturing enterprises to take the intelligent upgrading of equipment as a breakthrough and accelerate the cultivation of system solution providers with industry and professional characteristics. The third is to support the planning and design institute to extend the business chain based on the planning and design of the workshop/factory and carry out the general contracting business of the digital workshop/smart factory. The fourth is to support automation enterprises and information technology enterprises to gradually develop into intelligent manufacturing system solution providers through business upgrading, open up vertical integration, and gradually develop into intelligent manufacturing system solution providers. Fifth, research and formulate standards or specifications for intelligent manufacturing system solution providers, publish the recommended catalog of intelligent manufacturing system solution suppliers and compile the "System Solution Typical Case Collection".

(3) Build a team of intelligent manufacturing talents

The first is to build a multi-level talent team. Strengthen the training of intelligent manufacturing talents, cultivate a group of high-level leading talents who can drive the intelligent transformation of industries and enterprises, a group of innovative technical talents who can break through the key technologies of intelligent manufacturing and carry out technology development, technical improvement and business guidance, a group of compound talents who are good at manufacturing enterprise management and familiar with information technology, and a group of high-skilled talents with complete categories, exquisite skills and dedication. The second is to improve the talent training mechanism. Support colleges and universities to carry out the construction of intelligent manufacturing discipline system and talent training system, and cultivate practical talents who can be qualified for the needs of intelligent manufacturing. Encourage qualified universities, institutes and enterprises to build intelligent manufacturing training bases, and cultivate high-quality technical and skilled talents to meet the development needs of intelligent manufacturing. Encourage enterprises and colleges at all levels to create a "dual system" system for the training of technical and skilled talents. Establish a demand forecasting and information service platform for intelligent manufacturing talents.

(4) Synergistically promote the development of intelligent manufacturing

The first is to give full play to the role of the leading group for the construction of a national manufacturing power and the competent departments of economy and information technology at all levels, effectively coordinate the central, local and other social resources, coordinate and solve the problems encountered in the development of intelligent manufacturing, classify and stratify guidance, and continue to promote in different industries and steps, so as to form a work pattern of resource sharing and collaborative promotion. Second, the enterprise is guided by improving quality and efficiency and enhancing competitiveness, focusing on the actual needs and key points of the enterprise in actual work, and the overall plan is implemented step by step. Leading enterprises in various industries are gradually transforming intelligently, and small and medium-sized enterprises are automating and digitally upgrading key links according to their own conditions. Cultivate a number of sensors, intelligent instruments, control systems, servo devices, industrial software and other "specialized" supporting enterprises. Third, industry associations and alliances actively connect with the competent departments to grasp the implementation of policies, strengthen internal and external exchanges and publicity and promotion, collect and feedback on enterprise demands, help enterprises solve practical difficulties through technical problems and enterprise demand contracting, and at the same time strictly supervise the industry self-discipline and maintain a good development environment for intelligent manufacturing.