在生产中整合人工智能和可持续材料,以实现智能生态创新
Xingsi Xue1,2, Himanshu Dhumras3, Garima Thakur4
1College of Artificial Intelligence, Yango University, Fuzhou, 350015, Fujian, China.
Scientific reports
|October 22, 2025
概括
人工智能 (AI) 优化环保材料,以实现高效,可持续的制造. 这种方法可以减少浪费和成本,促进循环经济,减轻气候变化影响.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
- 可持续制造 可持续制造 可持续制造
背景情况:
- 应对气候变化和资源枯竭越来越重要.
- 制造业需要创新解决方案,以减少对环境的影响.
- 越来越多地将数字技术纳入工业流程.
研究的目的:
- 研究人工智能优化,以实现可持续的材料利用.
- 提高能源效率,减少浪费,成本和碳足迹.
- 提出一种新的概念,将AI预测分析与可持续材料选择相结合.
主要方法:
- 利用广泛的案例研究和合成数据集进行场景测试.
- 应用AI预测分析用于材料选择和流程优化.
- 与效率和可持续性相关的评估绩效指标.
主要成果:
- 证明了制造效率的显著提高.
- 表明了零废物生产和循环经济模式的未来潜力.
- 验证了人工智能在促进可持续材料使用方面的有效性.
结论:
- 人工智能与生态创新策略的整合是未来制造业的关键.
- 调查结果为决策者,行业和研究人员提供了可操作的见解.
- 为可扩展,适应和未来准备的制造生态系统铺平了道路.
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