Core Viewpoint - The article highlights the significant role of smart water management systems in disaster prevention and response, particularly in the context of recent flooding in Guangxi, China, showcasing the effectiveness of technology in enhancing water safety and resource management [1][2]. Group 1: Smart Water Management Applications - The smart water management system developed by iFlytek successfully issued 114 real-time warning messages to 57 responsible individuals during a flood event, leading to the safe evacuation of 361 people from danger zones [1]. - Smart water management is defined as the use of IoT, big data, cloud computing, and AI to enhance water safety, resource management, and ecological protection [2]. - iFlytek's comprehensive solution includes a platform that integrates various water management data, facilitating better decision-making and management across different levels of water governance [2][3]. Group 2: Industry Development and Challenges - The smart water management sector in China is experiencing rapid growth, with a projected market size of 10.23 billion yuan by 2024, driven by increased investment in water infrastructure [4]. - Despite advancements, challenges remain, including insufficient monitoring coverage for smaller rivers and reservoirs, and a lack of standardized data integration across different regions and departments [3][4]. - The industry is moving towards a phase of deep application, focusing on digital twin technology and AI to enhance decision-making and operational efficiency in water management [6]. Group 3: Future Opportunities - Future developments will focus on enhancing monitoring systems, integrating data across various departments, and leveraging AI technologies to improve water management services [5][6]. - The construction of a unified data standard and the establishment of a comprehensive data-sharing mechanism are seen as critical for maximizing the value of water management data [5]. - The emphasis on "AI + water management" initiatives is expected to drive innovation and improve operational capabilities within the sector [5][6].
我国智慧水利由"框架建设"迈向"深度应用"阶段