REX521GHHPSH07G The application of cutting-edge technology
Pave the innovation path for enterprises
The application of cutting-edge technologies in automation is undoubtedly the key core of future industrial innovation. At present, cutting-edge innovative technologies such as digital twins, artificial intelligence (AI), and 5G have become the key to creating new quality industrial productivity.
Backed by a software-centric automation architecture, these cutting-edge technologies can help companies improve digital capabilities, greatly improve the efficiency of production operations, but also strengthen the resilience and reliability of the supply chain, providing enterprises with “systematic” empowerment. At the same time, software-centric automation systems can reduce operating costs and increase flexibility.
Digital twins inspire industrial value
The industrial meta-universe based on digital twins can create digital virtual twins of physical entities, and then simulate, verify, predict and control the operation of the whole life cycle of physical entities based on data. The technology can be applied to multiple scenarios such as virtual factory and production line construction, product design, mREX521GHHPSH07G anufacturing process optimization, machine and equipment management and operation management, so as to help enterprises build green smart factories.
Schneider Electric is building an industrial digital twin through its powerful portfolio of innovative software on the EcoStruxure platform and architecture, as well as its AVEVA industrial software applications and solutions, and helping companies explore the potential for optimization throughout the entire life cycle from design, construction, to operation and maintenance, increasing productivity and efficiency. The value of “carrot and stick” in the field of industrial automation can be fully demonstrated.
AI technology empowers industrial manufacturing
With the continuous development and progress of AI technology, it has demonstrated a powerful energy in industrial manufacturing:
In terms of human-machine collaboration, the manufacturing industry often needs to deal with large amounts of complex unstructured data, and real-time data flow and integration with contextual data sources are essential to respond to events in a timely and effective manner.
Through human-machine collaboration, generative AI technologies, especially large language models, REX521GHHPSH07G can redefine how operators interact with systems and files. For example, large language models can generate code for industrial control systems such as PLCS; Create natural language interfaces for industrial automation systems that allow operators to interact with these systems using only human language; In large-scale industrial projects, large language models can also be used to quickly sort out the needs and data of all parties, and speed up the design and development process of the entire automation system. Taking quality control as an example, AI technology can be combined with visual recognition systems, sensors and other technologies to achieve intelligent detection and quality control of products. Schneider Electric’s industrial vision quality inspection solution based on AI technology built in China has been launched in 15 Schneider Electric factories in China, achieving zero missed detection rate.
