数据驱动的燃气应急抢修系统设计与实现

Design and Implementation of Data-Driven Gas Emergency Repair System

利用数字化技术重塑上海燃气,建立多源异构燃气数据的采集、治理、智能分析应用和数据服务,通过数据融合形成能源数字化资源。集中对燃气数据的模型、规范、标准和质量进行管控,规范燃气数据管理流程,智能挖掘燃气数据资源与价值。通过对抢修事故数据的实时动态数据分析,建立智能分析模型,实现调度优化、应急事故分析、站点管理、路径推荐等功能,拓展基于互联网的燃气智能化服务。

The digitization to reshape Shanghai Gas, establish multi-source heterogeneous gas data collection, management, intelligent analysis applications, data services, and form energy digital resources through data fusion. The management and control of gas data models, specifications, standards and quality, standardize gas data management processes, intelligently mine gas data resources and value. The intelligent analysis models are also established through real-time dynamic data analysis of emergency repair accident data, to realize scheduling optimization, emergency accident analysis, site management, route recommendation and other functions. It expands Internet-based gas intelligent services.