基于多源信息融合理论的盐湖资源综合动态监测及预警系统设计与实现

Based on multi-source information fusion theory, the design and implementation of integrated monitoring and pre-warning system of salt lake resource

中文关键词:  盐湖资源  综合动态监测与预警系统  多源信息融合

英文关键词:Salt  Lake Resources, Monitoring  and pre-warning  system, Data  integration

中文摘要:

      近年来随着人类开采力度的不断加大和全球气候变化的影响,盐湖资源系统正在发生着急剧变化,盐湖生产对环境的影响也日渐突出。本研究将多源信息融合理论与动态综合监测理论相结合,基于GIS、物联网和无线通讯技术,从相互关联的环境、资源和产业多个子系统中选取关键监测指标,从构建理论、构建原则、技术体系和系统结构等方面对构建盐湖资源综合监测系统进行了全面设计；并结合青海吉乃尔盐湖区具体实际,在监测站网的最优化布局、传感器选型、数据传输方案和多源数据整合方面开展了深入探讨；最后对水灾、环境、生产等预警模型的预警层次和预警模式提出了具体实现路径。研究对保障盐湖产业可持续发展与生产安全,保证西部国民经济、社会的和谐发展具有重要意义。

英文摘要:

      As one of the most significant strategic resources in China, Salt Lake Resources play important roles in the economic and social development. With the increasing development efforts in recent years, coupled with the impact of climate change, salt lake resources system is experiencing dramatic change, and the environmental impacts of brine industry is becoming increasingly apparent. To better understand the evolving patterns and mechanism of change of modern salt lake, it is critical to obtain accurate and dynamic data from monitoring. Aiming to establish a monitoring and pre-warning system in line with the fundamental characteristics of salt lake resources system, firstly this study frames the concept of integrated dynamic monitoring system of salt lake under the guide of the sustainable theory and systematic theory, and then multiple monitoring factors are carefully selected from interconnected resource, environment and production system based on their significance to sustainable development. Focused on the optimized layout of monitoring stations and methods of integrating the multi-source data, the study also elaborates the principles, the structure, operation technique of monitoring, warning models and warning levels. The results of the study fills the gap of the lack of monitoring system of salt lake in China, which contribute to the sustainable development of brine industry in Qinghai Provence as well as western China.