Core Viewpoint - The government emphasizes the development of new quality productivity and the construction of a modern industrial system, highlighting that green development is fundamental to high-quality growth and that new quality productivity is inherently green productivity [1] Group 1: Efficiency Improvement - Digital intelligence technology significantly enhances the efficiency of energy and resource utilization, addressing the challenge of limited natural resources against infinite human demands [2] - AI plays a crucial role in digital intelligence technology, enabling self-learning and adaptive capabilities to respond effectively to complex production scenarios [2] - Data-driven decision-making mechanisms transform traditional management into dynamic optimization, improving energy conversion efficiency and resource recycling levels [2] Group 2: Green Low-Carbon Industrial Transformation - Digital intelligence technology serves as a transformative tool for traditional industries, facilitating a paradigm shift through a process of deconstruction, reorganization, and regeneration [3] - The integration of green development theories into every aspect of traditional industries promotes their transition to low-carbon practices while supporting the advancement of emerging industries [3] - Emphasis on innovation in key areas and the application of advanced technologies is essential for accelerating the green low-carbon optimization of industrial structures [3] Group 3: Precision and Transparency in Environmental Governance - Traditional environmental governance faces challenges due to fragmented data and delayed responses, while digital intelligence technology enables comprehensive monitoring systems [4] - The integration of satellite, drone, and ground-based monitoring enhances the precision and transparency of environmental governance, allowing for real-time data collection and pollution tracking [4] - Establishing a data-sharing system through digital intelligence technology fosters collaboration among government, enterprises, and the public, significantly improving environmental governance [4]
以数智技术推动绿色生产力发展
Xin Hua Ri Bao·2025-05-27 01:03