chongqing: capital of intelligent manufacturing

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1. infrastructure and artificial intelligence, reshaping industrial production

the chongqing government has launched a digital transformation center to provide a series of training and services for smart manufacturing. at the same time, chongqing is also actively attracting universities, enterprises and third-party forces to jointly promote the application and development of artificial intelligence technology. these efforts will promote artificial intelligence to play a greater role in various fields, such as:

• data management and standardization: intelligent manufacturing is inseparable from the accumulation and analysis of data, and requires the establishment of a standardized internal data management system within the enterprise. the chongqing government can strengthen support in data management, help manufacturing companies adopt standardized technologies, form standardized management of internal data, and promote the formulation and promotion of data interoperability frameworks and guidelines.
• case promotion and application: chongqing can actively promote the use cases of high-quality industrial databases, such as how companies use artificial intelligence technology to build high-quality industrial databases to support manufacturing decisions. through these cases, more companies can understand the actual value of artificial intelligence and apply it to production practice.
• digital transformation of small and medium-sized enterprises: the chongqing government has formulated a long-term goal plan to complete the digital transformation of more than 15,000 small and medium-sized enterprises by 2027 and take more measures to attract and cultivate talents. these policies and measures will provide digital transformation support for small and medium-sized enterprises and promote the overall development of smart manufacturing in chongqing.

2. smart manufacturing to achieve more efficient and green production

artificial intelligence technology will change the manufacturing production model, and intelligent transformation is the future development trend. chongqing is actively deploying artificial intelligence in various aspects, such as:

• autonomous driving: through autonomous driving technology, the safety of cars can be improved and the driving experience improved. ford motor company recommended that chongqing promote the high-end, intelligent and green development of the automobile industry and contribute to the construction of a modern manufacturing cluster system.
• green production: environmental protection is a global consensus. as an important industrial city in china, chongqing also plays an important role in green technology. by introducing advanced clean energy technologies, we can reduce resource consumption and waste emissions and promote the development of the manufacturing industry in a more environmentally friendly direction.

3. cyber-physical systems support intelligent manufacturing

cyber-physical system (cps) is a system that helps realize intelligence in manufacturing and non-manufacturing industries. it optimizes production processes through physical sensors and real-time analysis of data. this technology has been widely used in japan and will become a major technology trend worldwide in the future. toyota is a representative of cps technology. it introduced cps technology and installed cameras and sensors in the factory to obtain data on each production process and predict in advance equipment abnormalities and stagnation in processes such as assembly, stamping, and painting.

as an important industrial city in china, chongqing has a wide range of application scenarios for cyber-physical systems (cps). in the future, mizuho financial group can cooperate with the chongqing municipal government to hold industry exchange meetings and other activities, cooperate in the field of using cps technology to solve more equipment operation problems on smart factory production lines, and improve production through remote control of robots and other equipment. efficiency, control the quality of parts and raw materials.