In the context of global digital transformation, industrial Internet of Things (IIoT) platforms are gradually becoming an important force driving the 智能化升级 of manufacturing industries. Governments around the world are 纷纷出台 policies to support the development of industrial IoT, aiming to enhance the competitiveness of manufacturing through technological innovation and industrial upgrading. China particularly attaches great importance to the development of industrial IoT and intelligence, considering it a key link in promoting the high-quality development of manufacturing, and has set corresponding planning goals, such as by 2025, most large-scale manufacturing enterprises will have achieved digital and networked transformation, and key industry backbone enterprises will have initially applied intelligence.

The data for 2024 shows that China's industrial production has steadily accelerated, and the overall industrial economy has maintained a recovering and improving trend. Among them, the trend of high-end, intelligent, and green manufacturing has continuously emerged, represented by industries such as electronics, automobiles, railways, ships, and aerospace, showing strong development potential and market competitiveness.d

1. Intelligent Data Management: Artificial intelligence technology, with its powerful data processing capabilities, helps manufacturing enterprises achieve efficient operations and data governance, enhancing production reliability and reducing operational costs.

2、 Industry-specific large models：By fine-tuning the models with 工艺数据 from various industries, we can create industry-specific large models that can deeply analyze industry data, promote process optimization, and significantly improve production efficiency and product quality.

3、Generative Artificial Intelligence：Revolutionize industrial design processes, achieve flexible customized production, and enhance a company's ability to respond to market changes.

4、Cloud-edge-end Integration：Artificial intelligence is accelerating the integration of cloud, edge, and endpoint, enhancing the real-time data processing capabilities of edge computing devices, and providing enterprises with more flexible computing capabilities.

5、Flexible Production Transformation：The application of artificial intelligence enables manufacturing systems to quickly respond to market changes, allowing for flexible production planning and process adjustments, thereby improving resource utilization and production efficiency.

6、 Supply chain intelligence upgrade: AI leverages big data analysis capabilities to optimize various aspects of the supply chain, including inventory management, transportation, and procurement processes, significantly reducing operational costs for enterprises.

As natural language and voice interfaces continue to develop, an increasing number of non-professional industrial workers will use AI to better perform their jobs and solve problems in real time, without needing professional training or even understanding how the technology works. Humanized AI will drive the democratization of data-driven decision-making, fully unleashing competitive advantages.

In summary, the development trend of industrial intelligence shows multiple characteristics driven by policies, deep application of technology, transformation and upgrading of manufacturing industries, and the popularization of humanized AI. These trends will jointly promote the industrial sector towards more efficient, intelligent, and sustainable directions.