Research and application of neural network‐based intelligent water‐saving systems

Author:

Wu Dan123ORCID

Affiliation:

1. Information Engineering Center, Yellow River Institute of Hydraulic Research Yellow River Conservancy Commission of the Ministry of Water Resources Zhengzhou Henan China

2. Henan Engineering Research Center of Smart Water Conservancy Zhengzhou Henan China

3. Research Center of YB Conservation and Development Yellow River Conservancy Commission of the Ministry of Water Resources Zhengzhou Henan China

Abstract

AbstractCapitalizing 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.

Funder

National Key Research and Development Program of China

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Water resources of the Podilia region and their use;Man and Environment. Issues of Neoecology;2024-06-28

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