Leading a new era of intelligent manufacturing
Once upon a time, manufacturing was seen as a traditional industry with "high energy consumption, high emissions, and low added value". With the advent of a new round of scientific and technological revolution and industrial transformation, intelligent manufacturing is becoming a key driving force leading the transformation and upgrading of the manufacturing industry. In this era of intelligence, the manufacturing industry is undergoing unprecedented profound changes, and intelligent manufacturing will undoubtedly become the only way for the development of the manufacturing industry.
The development status of intelligent manufacturing
In recent years, the application of emerging technologies such as artificial intelligence, big data, cloud computing, and the Internet of Things in the manufacturing field has been deepening, promoting the rapid development of intelligent manufacturing. Artificial intelligence technology, represented by machine vision, has been widely used in product inspection, defect identification and other links, greatly improving production efficiency and product quality. The integrated application of industrial big data and cloud computing technology enables the efficient collection, storage and storage of massive data in the manufacturing process, providing strong support for manufacturing decision-making.
In this context, the development of intelligent manufacturing in mainland China has made great progress. In 2021, the state issued the "Intelligent Manufacturing Development Plan (2021-2025)", which clearly put forward the goal of entering the international advanced level of intelligent manufacturing development by 2025. Local governments and enterprises have also introduced relevant policies and plans to accelerate the pace of intelligent manufacturing transformation and upgrading.
The importance of intelligent manufacturing
The reason why intelligent manufacturing has attracted much attention is mainly because of its importance in improving production efficiency, optimizing product quality, and cultivating talents required for new quality productivity.
Smart manufacturing can help dramatically improve production efficiency. By applying advanced technologies such as artificial intelligence and robotics to the manufacturing process, the degree of automation can be greatly improved, thereby reducing labor costs and improving production efficiency. Taking the automobile manufacturing industry as an example, after the introduction of intelligent manufacturing, the production efficiency of some links can be increased by more than 30%.
Smart manufacturing is conducive to optimizing product quality. In the traditional manufacturing process, product quality largely depends on the experience and craftsmanship of workers, and there is a certain degree of subjective arbitrariness. Intelligent manufacturing, on the other hand, can monitor and accurately adjust product quality in real time through big data and machine learning algorithms, so as to ensure the stability and consistency of product quality.
Intelligent manufacturing is also of great significance for cultivating the talents needed for new quality productivity. In the context of intelligent manufacturing, the demand for high-quality compound skilled talents in the manufacturing industry will become more and more vigorous. Cultivating a team of high-end talents who master the concept and technology of intelligent manufacturing is crucial to promoting the high-quality development of the manufacturing industry.
The development path of intelligent manufacturing
In order to comprehensively promote intelligent manufacturing, we must start from multiple levels such as intelligent manufacturing equipment, industrial software, standard system, network infrastructure and talent training.
In terms of intelligent manufacturing equipment, the mainland will accelerate the development of key equipment such as intelligent sensors, industrial robots, and intelligent testing equipment, and improve the level of intelligent, networked and collaborative manufacturing of equipment. Vigorously develop industrial software, cultivate a group of industrial software solution providers with independent intellectual property rights, and provide systematic software support for intelligent manufacturing.
In terms of standard system and network infrastructure construction, we will accelerate the formulation of intelligent manufacturing standard system and create a good institutional environment for the development of intelligent manufacturing. Accelerate the construction of industrial Internet infrastructure, build a new infrastructure system for intelligent manufacturing, and provide high-speed, ubiquitous and intelligent network support for intelligent manufacturing.
In terms of talent training, we will vigorously promote the integration of industry and education and innovate the talent training model. On the one hand, colleges and universities should strengthen in-depth cooperation with enterprises, optimize curriculum settings, strengthen practical teaching links, and cultivate students' innovative thinking and practical ability. On the other hand, enterprises should actively participate in the whole process of talent training, provide students with internship and training positions, and cultivate a group of high-quality compound skilled talents who master the concept and technology of intelligent manufacturing.
Industry applications of intelligent manufacturing
Intelligent manufacturing has a wide range of application prospects in equipment manufacturing, electronic information, raw materials and other fields. Taking the equipment manufacturing industry as an example, through the application of intelligent manufacturing technology, flexible customization and personalized design can be realized to meet the diverse needs of customers. With the help of big data and machine learning algorithms, real-time monitoring and fault warning can be carried out on the operating status of the equipment, effectively improving the reliability and service life of the equipment.
In order to accelerate the promotion and application of intelligent manufacturing in key industries, the mainland will focus on the construction of a number of intelligent manufacturing demonstration factories. These demonstration factories will make full use of advanced technologies such as artificial intelligence and industrial Internet to demonstrate the advanced concepts and application models of intelligent manufacturing, and set a benchmark for other enterprises in the industry. It will vigorously cultivate a group of intelligent manufacturing system solution providers to provide enterprises with whole-process services from consulting and design to system integration.
Ecological construction of intelligent manufacturing
To promote intelligent manufacturing, it is necessary to build a complete ecosystem. On the one hand, a number of intelligent manufacturing innovation carriers and public service platforms will be built to provide enterprises with public services such as technological innovation, achievement transformation, and talent training. On the other hand, experience exchange and supply and demand docking activities will be organized on a regular basis to promote the promotion and application of intelligent manufacturing technologies, products and solutions.
In the process of ecological construction, we must base ourselves on the national strategic needs and promote the coordinated development of intelligent manufacturing, scientific and technological innovation and education. Only by closely combining intelligent manufacturing with scientific and technological innovation and talent training can we provide strong support for the construction of a manufacturing power, a science and technology power and a talent power.
Smart manufacturing is leading the manufacturing industry to a new era. In this process, we need to attach great importance to the important role of intelligent manufacturing in improving production efficiency, optimizing product quality, and cultivating new talents, and accelerate the development of intelligent manufacturing from multiple levels such as equipment, software, standards, networks, and talents. It is believed that through joint efforts, intelligent manufacturing will become an important engine leading the high-quality development of the manufacturing industry.