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通过使用模糊的MCDM方法的物联网专注决策和信息集成 (DII) 建模来管理开放循环水资源价值链
Dheeraj Narang1, Jitender Madaan1, Felix T S Chan2
1Department of Management Studies, Indian Institute of Technology Delhi, Vishwakarma Bhavan, Saheed Jeet Singh Marg, Hauz Khas, New Delhi, 110016, India.
Journal of environmental management
|November 23, 2023
概括
物联网 (IoT) 可以通过更好的数据集成来优化水价值链 (WVC). 物联网在水资源管理中的关键推动因素包括网络生态系统,配置,适应和数据流动性.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 由于不受监管的用水导致的全球水危机,需要在水产业中提供可持续的,数据驱动的解决方案.
- 物联网 (IoT) 提供了创新的决策和信息整合策略,以加强水资源管理.
- 转向可持续实践对于解决水资源问题和改善公共卫生至关重要.
研究的目的:
- 确定和优先考虑在开放循环水价值链 (WVC) 中实施物联网 (IoT) 的关键推动因素.
- 分析影响物联网在水和废水行业采用的因素,以改善资源管理.
主要方法:
- 检查了在开放循环WVC中实施物联网的25个因素.
- 使用主要组件分析 (PCA) 将因素聚合到七个启用器中.
- 应用模糊决策试验和评估实验室 (DEMATEL) 和模糊集合理论,以优先考虑启用因素和处理不确定性.
主要成果:
- 确定了物联网网络的生态系统,配置,适应和数据流动性是最突出的推动因素.
- 模糊的DEMATEL方法澄清了优先级设置的推动者之间的因果关系.
- 模糊集合理论有效地解决了数据缺陷和专家意见的模糊性.
结论:
- 该研究强调了推动开放循环WVC管理的关键物联网启用器.
- 这些发现可以指导监管机构和水企业优先考虑采用物联网,以实现高效的水分配和处理.
- 实施这些推动因素可以带来更可持续和更有效的水资源管理.
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