CEG-UAb, Universidade Aberta, Rua da Escola Politécnica, 147, 1269-001 Lisboa, Portugal.
INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal.
Sensors (Basel). 2023 May 5;23(9):4493. doi: 10.3390/s23094493.
Water scarcity is becoming an issue of more significant concern with a major impact on global sustainability. For it, new measures and approaches are urgently needed. Digital technologies and tools can play an essential role in improving the effectiveness and efficiency of current water management approaches. Therefore, a solution is proposed and validated, given the limited presence of models or technological architectures in the literature to support intelligent water management systems for domestic use. It is based on a layered architecture, fully designed to meet the needs of households and to do so through the adoption of technologies such as the Internet of Things and cloud computing. By developing a prototype and using it as a use case for testing purposes, we have concluded the positive impact of using such a solution. Considering this is a first contribution to overcome the problem, some issues will be addressed in a future work, namely, data and device security and energy and traffic optimisation issues, among several others.
水资源短缺正成为一个更令人关注的问题，对全球可持续性产生重大影响。为此，迫切需要采取新的措施和方法。数字技术和工具可以在提高当前水资源管理方法的有效性和效率方面发挥重要作用。因此，鉴于文献中缺乏支持家庭智能水资源管理系统的模型或技术架构，提出并验证了一种解决方案。该方案基于分层架构，完全针对家庭的需求而设计，并通过采用物联网和云计算等技术来实现。通过开发原型并将其用作测试用例，我们得出了使用这种解决方案的积极影响。考虑到这是克服该问题的首次贡献，未来的工作将解决一些问题，例如数据和设备安全以及能源和流量优化问题等。
