枣庄市AI赋能雨水情数智化的提升与实践

Practice and Improvement of AI-Enabled Digital Intelligence for Rainfall and Regime Data in Zaozhuang

摘要:

为推动雨水情信息处理由传统人工模式向智能化转型,枣庄市应用人工智能技术研发了"智水管家"雨水情信息数智化平台。该平台构建"感知层-传输层-智能层-应用层"四层技术架构,形成"数据采集-智能处理-服务输出"全链路技术体系,在数据流转、智能值守、信息服务等方面实现突破。实践表明,平台使报汛时效提升至秒级,故障处置效率提高60%以上,数据准确率稳定在95%以上,显著提升了雨水情信息处理的智能化水平与服务效能,为市级雨水情信息数智化提供了可复制的技术范式。

Abstract:

To advance the transformation of rainfall and regime information processing from the traditional manual mode to intelligent operation, artificial intelligence technologies are adopted to develop the "Smart Water Manager" digital intelligence platform for rainfall and regime information in Zaozhuang Municipality. The platform adopts a four-tier technical architecture consisting of perception, transmission, intelligence and application layers, forming a full-chain technical system covering data collection, intelligent processing and service delivery. Breakthroughs have been achieved in data circulation, intelligent on-duty monitoring and information services. Practical results show that the platform realizes second-level flood reporting timeliness, boosts the efficiency of fault disposal by over 60%, and maintains a data accuracy rate above 95%. It greatly improves the intelligent and service efficiency of rainfall and regime information processing, and provides a replicable technical paradigm for the digital intelligence construction of municipal rainfall and regime information systems.