生命周期库存可用性:利用新技术的现状和前景
Mark Mba Wright1, Eric C D Tan2, Qingshi Tu3
1Mechanical Engineering, Iowa State University, Ames, Iowa 50014, United States.
概括
生命周期评估 (LCA) 数据对于可持续性至关重要. 这项研究解决了生命周期库存 (LCI) 数据库中的挑战,并建议使用物联网,机器学习和区块链来提高数据质量和可访问性.
科学领域:
- 环境科学 环境科学
- 可持续性研究 可持续性研究
- 数据科学数据科学数据科学
背景情况:
- 对生命周期评估 (LCA) 的日益增长的需求需要强大的生命周期库存 (LCI) 数据.
- 现有的LCI数据库面临数据缺口,透明度和不确定性的挑战.
研究的目的:
- 总结LCI数据库当前的挑战.
- 调查LCI数据生成,传播和验证的新技术.
- 提出LCI发展的未来方向.
主要方法:
- 文献审查和对当前LCI数据库挑战的分析.
- 对LCI数据管理新兴技术的调查和讨论.
- 建议未来的研究和开发途径.
主要成果:
- 确定了当前LCI数据库中的关键数据缺口,透明度问题和不确定性因素.
- 突出了用于改进LCI数据的新技术和技术.
- 概述了利用物联网,机器学习和区块链的未来方向.
结论:
- 像物联网,机器学习和区块链这样的先进技术可以显著提高LCI数据质量和可访问性.
- 改进的LCI数据将促进更准确和可靠的LCA研究.
- 解决当前的挑战对于推进可持续性评估至关重要.
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