摘要：在人工智能、大数据、物联网、云计算的推动下，水利信息化建设取得了长足的发展。针对目前我国水资源管理中的一些问题，运用大数据技术，挖掘出大量的水资源管理数据，建立了基于语音识别与人工智能技术的智能水管理系统，并将其运用于黄河流域的多个部门，从而进一步提升了黄河水资源管理的信息化水平和业务支持能力。
关键词：人工智能、声音辨识、海量资料、智能水利、水资源管理
Abstract:Driven by artificial intelligence, big data, the Internet of Things and cloud computing, water conservancy informatization construction has made great progress. In view of some problems in China's water resources management, a large amount of water resources management data is excavated by using big data technology, and an intelligent water management system based on voice recognition and artificial intelligence technology is established, and it is applied to multiple departments in the Yellow River Basin, thus further improving the informatization level and business support capabilities of Yellow River water resources management
Keywords:Artificial intelligence, voice recognition, massive data, intelligent water conservancy, water resource management
目 录
黄河流域小禹智能水资源管理系统的应用 1
1导论 1
2我国水资源的管理状况 2
3发展的目的和使命 2
4体系结构 3
4.1系统的发展和操作 3
4.2资料层 4
4.3 microService体系结构 4
4.4前端体系结构 4
4.5声音辨识整合 5
4.6地理信息系统的制图业务连接 5
5应用程序 5
6结论 6
参考文献 6
关键词：人工智能、声音辨识、海量资料、智能水利、水资源管理
Abstract:Driven by artificial intelligence, big data, the Internet of Things and cloud computing, water conservancy informatization construction has made great progress. In view of some problems in China's water resources management, a large amount of water resources management data is excavated by using big data technology, and an intelligent water management system based on voice recognition and artificial intelligence technology is established, and it is applied to multiple departments in the Yellow River Basin, thus further improving the informatization level and business support capabilities of Yellow River water resources management
Keywords:Artificial intelligence, voice recognition, massive data, intelligent water conservancy, water resource management
目 录
黄河流域小禹智能水资源管理系统的应用 1
1导论 1
2我国水资源的管理状况 2
3发展的目的和使命 2
4体系结构 3
4.1系统的发展和操作 3
4.2资料层 4
4.3 microService体系结构 4
4.4前端体系结构 4
4.5声音辨识整合 5
4.6地理信息系统的制图业务连接 5
5应用程序 5
6结论 6
参考文献 6
