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Research and application of neural network‐based intelligent water‐saving systems
Water and Environment Journal ( IF 2 ) Pub Date : 2024-02-22 , DOI: 10.1111/wej.12918
Dan Wu 1, 2, 3
Affiliation  

Capitalizing on the swift evolution of big data and information technology, conventional water‐saving endeavours have been revamped into ‘smart water‐saving’. This paradigm shift leverages cutting‐edge technologies like neural networks, the Internet of Things (IoT) and advanced sensor systems. These components seamlessly integrate with network infrastructure, mobile systems and sophisticated water‐saving information systems to forge comprehensive smart water‐saving management systems. These systems adeptly amass, process and dissect vast troves of water‐saving data, harmonizing with the requirements of water management authorities and consumers alike. This fusion of technology empowers us to furnish all‐encompassing information services, thereby elevating the standards of water resource management. In summary, the integration of state‐of‐the‐art technology into water‐saving initiatives represents a momentous leap forward in addressing critical water‐related challenges and realizing more efficient, sustainable water resource management practices.

中文翻译:

基于神经网络的智能节水系统研究与应用

借助大数据和信息技术的快速发展,传统节水方式已转变为“智慧节水”。这种范式转变利用了神经网络、物联网 (IoT) 和先进传感器系统等尖端技术。这些组件与网络基础设施、移动系统和复杂的节水信息系统无缝集成,形成全面的智能节水管理系统。这些系统熟练地收集、处理和剖析大量节水数据,满足水资源管理机构和消费者的要求。这种技术融合使我们能够提供全方位的信息服务,从而提高水资源管理的水平。总之,将最先进的技术融入节水举措代表着解决与水相关的关键挑战和实现更高效、可持续的水资源管理实践的重大飞跃。
更新日期:2024-02-22
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