A brief analysis of the development trend of domes

2022-08-15
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A brief analysis of the development trend in the field of domestic intelligent manufacturing system solutions

a brief analysis of the development trend in the field of domestic intelligent manufacturing system solutions

China Construction machinery information

facing the urgent needs and market space brought by the development of informatization, networking and intelligence in the manufacturing industry, domestic enterprises in various fields continue to expand their business scope and enter the field of intelligent manufacturing system solutions, Accelerate the development of domestic intelligent manufacturing. In March 2015, Huawei announced to strengthen joint innovation with sap in the field of IOT, and is committed to the R & D and industrialization of smart factory solutions. In July, relying on the application advantages of industrial software, Dingjie software launched a vertical industry intelligent manufacturing system solution

facing the broad market space of intelligent manufacturing, enterprises in various fields actively seize the commanding height of the development of system solutions. However, due to the late start of the development of domestic intelligent manufacturing, the demand gap for discrete intelligent manufacturing system solutions is large. At present, the supply of intelligent manufacturing system solutions is at the middle and low end level. Intelligent manufacturing is a systematic project. Mergers and acquisitions and cooperation in the field of system solutions will be more active. Integration and development in the field of industrial software will become the focus, and leading manufacturing enterprises will gradually take industry system solutions as a new growth point

enterprises should seize the commanding height of development

facing the broad market space of intelligent manufacturing, enterprises in all fields should actively seize the commanding height of the development of system solutions

there is an urgent need for intelligent manufacturing transformation in China, and the market demand for system solutions is broad. Since 2012, the domestic labor force population has gradually decreased, and the labor cost has increased day by day. Enterprises urgently need to implement the machine replacement strategy. Taking industrial robots as an example, the sales of domestic industrial robots in 2014 increased by 56% year-on-year. At the same time, with the increasing diversification and customization of user needs, enterprise orders show a trend of miniaturization and fragmentation. The introduction and application of intelligent manufacturing system solutions has become an important focus for enterprises to meet the development needs of the new era

enterprises in the fields of production equipment, industrial software, interconnection and so on have invested in the field of industrial system solutions to improve the safety and controllability of intelligent manufacturing. For example, Shenyang Xinsong robot relies on the advantages in the field of assembly handling robots to provide users with an intelligent three-dimensional warehouse construction scheme; With years of ERP service experience, Dingjie software integrates management software and IOT hardware to provide system solutions for large or super large enterprises; Alibaba launched the "Amoy factory" business to provide o2o intelligent manufacturing solutions; Huawei combines its ICT infrastructure advantages to create intelligent factory IOT solutions

discrete demand gap is large

due to the low penetration of Intelligent Manufacturing in China's discrete manufacturing field, the demand gap for discrete intelligent manufacturing system solutions is large

at present, the penetration rate of Intelligent Manufacturing in domestic process industry is high, and the informatization of discrete industry starts late. The process manufacturing industry represented by electric power and steel used information technology for industrial transformation earlier, with a high degree of automation and digitization. For example, as early as a few years ago, large enterprises in the process industry have applied MES system. At the same time, facing a new round of industrial reform and scientific and technological revolution, process manufacturing enterprises strengthen the integrated application between the original systems, and the development level of intelligent manufacturing is high. In the past, when the labor cost of discrete industries was low and the product quality requirements were not too high, the power to use information technology was small, and the overall informatization level was low. For example, the popularity of MES system in discrete industries is low, and most discrete enterprises lack MES system at the enterprise level and production control level, so they do not really realize lean production

the demand gap for discrete intelligent manufacturing system solutions is large, and the orders of enterprises that can provide industry solutions grow rapidly. For example, Mingjiang intelligence, with its technical advantages in the field of intelligent acquisition boards, provides an integrated solution of hardware + middleware + software for discrete industries such as auto parts and household appliances. According to the data of Guangfa Securities Development Research Center, the operating income of Mingjiang intelligence in 2013 was only 14.12 million yuan, reaching 40.34 million yuan in 2014, with a year-on-year increase of 185.7%. In the first half of 2015, the operating revenue reached a new high of 52.088 million yuan, and the annual operating revenue is expected to increase by more than 200%. At the same time, the number of orders in the third quarter of 2015 increased by about five times compared with the beginning of 2015

domestic supply is at the middle and low end level

due to the late start of domestic intelligent manufacturing development, the supply of intelligent manufacturing system solutions in China is at the middle and low end level

the deep integration of industrialization and industrialization of domestic manufacturing enterprises is still in its infancy on the whole, and the development level of intelligent manufacturing is uneven. The evaluation standard of the integration of industrialization and industrialization divides the level of enterprise informatization into infrastructure construction, local application, comprehensive integration, innovation guidance and other stages. At present, most enterprises and industries in China are still in the stage of partial application, and only a few large enterprises have a high coverage of information technology for single business, and certain collaboration and integration have been achieved between key business link application systems. In terms of the productivity level of manufacturing enterprises, a large number of enterprises in industry 2.0 need to make up lessons, some enterprises in industry 3.0 need to be popularized, and some enterprises in industry 4.0 need to be demonstrated

domestic intelligent manufacturing solutions involve several layers in the system system, and fail to realize horizontal integration, vertical integration and end-to-end integration. From the perspective of enterprise system architecture, intelligent manufacturing solution system can be divided into data acquisition layer, executive equipment layer, control layer, management layer, enterprise layer, cloud service layer and network layer. At present, domestic intelligent manufacturing system solution manufacturers play an integrated role in some layers of the entire architecture system, and there is no intelligent manufacturing solution provider like Siemens that can connect the entire architecture system

there are three development trends

the first trend is that intelligent manufacturing is a systematic project, and mergers and acquisitions and cooperation in the field of system solutions will be more active

the development of intelligent manufacturing is complex and systematic, involving the whole life cycle of products such as design, production, logistics, sales and service, and the implementation of enterprise system architecture such as equipment layer, control layer, management layer, enterprise layer, cloud service layer and network layer. It needs to achieve horizontal integration, vertical integration and end-to-end integration. Limited to factors such as insufficient capital investment, long technology R & D cycle and process barriers, it is difficult for a single system solution provider to meet the development needs of Intelligent Manufacturing in various sub industries. Enterprises will continue to strengthen collaborative innovation to strengthen the independent provision of intelligent manufacturing system solutions. At present, Dongfang Seiko, Dingjie software and other enterprises rely on their own advantages to carry out capital mergers and acquisitions and strategic cooperation to expand their business scope and create industry system solutions

the second trend is that the architecture of intelligent manufacturing system will be further improved, and the integration and development of industrial software will become the focus

from the perspective of enterprise system architecture, there is no intelligent manufacturing solution provider that can connect the entire architecture system in China, but with the continuous progress of technical level, system solution providers will continue to improve the architecture system. Intelligent manufacturing system solutions mainly rely on software and hardware products and systems to realize mutual recognition, real-time interaction and information integration of manufacturing elements and resources. From the perspective of hardware, based on the practical needs of significantly reducing the cost, the parts with strong versatility in hardware will become increasingly modular and standardized. From the perspective of software, industrial software exists in every corner of the manufacturing of boilers and prime movers (127.1%), mining machinery (102.1%), storage tanks (729.3%), plastic processing machinery (130.2%), water pumps (121.9%), compressors (110.1%), forced draft fans (126.5%), transportation machinery (187.1%), gearboxes (108.3%) and metal processing machinery (384.7%), Intelligent manufacturing solutions will rely more on the integration and development of software parts (SCADA, MES, ERP, PLM) closely related to the hardware layer, of which MES is the core part of the software layer

the third trend is that leading manufacturing enterprises gradually take industry system solutions as a new growth point by virtue of technology accumulation and deep understanding of the industry

in recent years, leading manufacturing enterprises have accumulated a considerable degree of professional knowledge, technology and ability in the industry. At the same time, with their own in-depth understanding of the industry process, their own intelligent manufacturing system solutions are becoming more and more mature. Facing the huge market space of intelligent manufacturing, these leading manufacturing enterprises tend to provide their own solutions to other users in the same industry with common needs, seeking new business growth points. At present, Shenzhen rapoo technology and other enterprises have provided their own mature solutions as independent businesses, and large manufacturing enterprises such as XCMG group and Shaangu group have transformed their internal information technology departments into external specialized intelligent manufacturing system solution providers

accelerate the construction of independent provision capacity

first, do a good job in top-level design and accelerate the development of independent standard system

take strengthening the ability of independent provision of industrial system solutions as the focus of accelerating the development of intelligent manufacturing, introduce relevant policies and plans as soon as possible, and strengthen overall planning. Develop intelligent manufacturing standardization strategy and standardization roadmap by industry, and carry out standard research and development in intelligent manufacturing system architecture, reference model, hardware equipment and other aspects

second, improve talent policies and speed up the training of high-end innovative talents

formulate an intelligent manufacturing talent reserve plan, optimize the growth environment for innovative talents, improve the incentive mechanism for every 100000 pieces of gray sand bricks of the same type of scientific and technological people, and less than 100000 pieces are also a batch of talents, build an intelligent manufacturing scientific research talent expert database, and build an innovative talent team that can undertake the research, development and industrialization application of intelligent manufacturing technology. Relying on major national projects, major projects and key enterprises, we will establish a mechanism for the introduction of high-end talents in the field of intelligent manufacturing

third, rely on industrial alliances to create industrial pilot demonstration projects

give full play to the advantages of the alliance, integrate multiple resources such as politics, industry, University, research and application, establish an intelligent manufacturing innovation center, study the needs and development trends of intelligent manufacturing system solutions, and organize the R & D and industrialized application of software and hardware technologies related to intelligent manufacturing. Focus on key industries, carry out excellent pilot demonstration of intelligent manufacturing, and cultivate and develop a number of industry system solution providers. (the author is a senior researcher of the informatization promotion department of the machinery industry information center)

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