工业AI技术推动造纸工业节能减碳：基于大系统思维的探讨与实践

Industrial AI Technology to Promote Energy Saving and Carbon Reduction in the Paper Industry: Discussion and Practice Based on Large-scale System Thinking

关键词:  造纸工业  工业AI技术  碳减排  大系统思维

Key Words:paper industry  industrial AI technology  carbon emission reduction  large-scale system thinking

摘要:造纸工业作为资源和能源密集型产业，面临着日益严格的碳减排压力和环保要求。而工业AI技术则为低碳发展提供了全新的可能性。本文以造纸工业为研究对象，基于大系统思维和“数实融合闭环系统”的理念，探讨工业AI技术在碳减排中的应用，从数据价值化、工艺AI技术到大系统思维的实践，分析其对生产效率、资源利用和碳排放的影响。分析表明大系统思维和工业AI技术的结合，可显著提升造纸工业的资源利用效率，减少碳排放，助力造纸工业向高质量发展转型。

Abstract:As a resource and energy intensive industry， the paper industry is facing increasingly strict carbon reduction pressure and environmental protection requirements， with enormous transformation pressure. Industrial AI technology provide new possibilities for low-carbon development. The paper industry as the research object， based on the large-scale system thinking and concept of “closed-loop system of digital- real physical worlds fusion”， the paper explored the application of industrial AI technology in carbon reduction. From the data valuation， process AI technology to the practice of large-scale system thinking， the effects on production efficiency， resource utilization and carbon emission were analyzed， and the optimization path were put forward. The results showed that the combination of large-scale system thinking and industrial AI technology could significantly improve the resource utilization efficiency of the industry， reduce carbon emission， and help the paper industry transform to high-quality development.