I. Development Trends in the Intelligent Manufacturing Equipment Industry
(1) It is gradually becoming a new business model by integrating with emerging technologies such as 5G, Internet of Things, and artificial intelligence.
Currently, emerging technologies such as 5G, the Internet of Things, and artificial intelligence are gradually permeating all aspects of enterprise production and operation. In the future development of intelligent manufacturing equipment, emerging technologies will be fully integrated into various functional modules to adapt to the complex production and management needs of enterprises, improve production efficiency, enhance product quality, and ensure the reliability of production activities.
(2) Intelligent manufacturing solutions will become an important way to realize intelligent manufacturing.
Intelligent manufacturing is characterized by complexity and systemic nature, and its transformation and upgrading is a long-term and continuous process. Downstream customers' demands for intelligent manufacturing are also diverse and differentiated, requiring not only continuous technological innovation from intelligent manufacturing equipment companies but also placing higher demands on their product supply capabilities. Therefore, companies possessing intelligent manufacturing equipment solutions, rather than just single products, will be more competitive.
(3) The trend of automation, integration and informatization in intelligent manufacturing equipment is obvious.
Currently, the complexity of intelligent manufacturing equipment in my country is constantly increasing, and in the future, it will continue to develop towards automation, integration, and informatization. Specifically, this will manifest in the following ways: intelligent manufacturing equipment will achieve a high degree of automation in the production process, with a certain degree of adaptability to production objects and production environments, thereby optimizing the production process; hardware, software, and application technologies will achieve deep integration, production equipment and intelligent networks will achieve high interconnection, and through the empowerment of artificial intelligence technology, the performance of intelligent manufacturing equipment will be continuously upgraded; information technology and advanced manufacturing technology will achieve deep integration, increasing the functional complexity of equipment, enhancing the equipment's information interaction and self-learning capabilities, and enabling intelligent manufacturing equipment to be competent in the operation and information integration of large and complex production scenarios.
II. How to create an intelligent manufacturing ecosystem
Accelerate the promotion and application of excellent intelligent manufacturing system solutions in relevant industries, build a communication platform between supply and demand sides, and share advanced experiences in policy, technology research, industry application, and market promotion. Intelligent manufacturing system solution providers should play a pioneering role, focusing on niche industries, targeting SMEs, and closely aligning with the actual development of industries to provide enterprises with customized, phased, implementable, and effective solutions.
Further efforts will be made to cultivate and support supporting solution providers, and to accelerate the implementation of intelligent manufacturing application results in sub-sectors such as automobiles and electronics, so as to promote the application and development of intelligent manufacturing and effectively support the transformation and upgrading of the industry.
In the automotive parts industry, the application of intelligent manufacturing solutions has greatly improved enterprise management and operational efficiency, promoted enterprise innovation and development, and accelerated the implementation of intelligent manufacturing in various industry segments.
Intelligent manufacturing solution providers actively participate in the formulation of international standards, such as Digiwin, Haier, Changhong, and Siasun Robot & Automation Co., Ltd.
In the consumer electronics industry, how can smart manufacturing platform technologies be effectively implemented with policy guidance and technological support, enabling enterprises to coordinate their supply and sales chains from the inside out and return to the essence of business operations? This requires smart manufacturing solution providers to help drive the planning and construction of digital factories and promote the application of smart manufacturing. Simultaneously, this will also promote the digital transformation and development of the electronics industry.
By leveraging IT and industrial internet platform architecture, we can enhance the data integration capabilities of equipment and systems, solve problems such as material barcodes, material locating, verification, material loading, and production data. We can comprehensively collect and analyze data generated throughout the entire process from equipment, workshops, enterprises, upstream and downstream supply chains, warehousing, production to quality, and continuously improve production efficiency and product quality.
In recent years, the Ministry of Industry and Information Technology (MIIT) has announced multiple batches of intelligent manufacturing system solution providers, actively introducing various types of solution providers, including overall solution service providers, complete equipment suppliers, industrial software and information service providers, and technical consulting service providers. These providers cover information and digitalization construction in multiple fields, including digital factories, R&D, manufacturing, logistics, and enterprise operation management. An intelligent manufacturing application ecosystem, guided and led by relevant government policies, effectively supported by supporting solution providers, and driven by leading enterprises to rapidly replicate their experiences, is gradually taking shape and improving across various industries.
