三江源生态监控物联网将现有的792个生态环境监测站点的常规监测设备和无线传感器网络互联起来，利于这些监测设备协同和互动，提高生态监控的实时性和自动化程度。本项目研究如何有效地管理三江源生态监控物联网中的海量、异构、多维、动态的生态环境数据，提高信息查询效率；研究能量有效的优化规划、分析和决策的有效信息管理和智能处理机制，为三江源生态监控和预警物联网信息交互与共享、实时响应、智能决策与控制服务提供理论基础和技术保障。具体内容包括：建立基于不确定性计算模型的三江源生态监控物联网的数据世系管理表示模型、多层次时序相关的动态融合方法、关联推理方法及其优化策略和低时空复杂度的实时数据挖掘算法，进一步证明和验证新理论和方法的有效性，并建立原型系统。

The Internet of Things for the three rivers source ecological monitoring will interconnect 792 conventional monitoring equipments with wireless sensor networks and improve the real-time and automation through their collaboration and interaction. The project majors at dealing efficiently with the vast amount of heterogeneous, multi-dimensional and dynamic ecological monitoring data on the three rivers source area to improve information query efficiency, studying the mechanism of information management and intelligent processing of energy-efficient optimization rules, analysis and decision. .The details are as follows: Build data lineage management model of three rivers source ecological monitoring of Internet of things based on the uncertainty of the calculation model. It has the advantages of multi-level and timing-related dynamic fusion method and associated reasoning method, optimized strategy and low time and space complexity are advantages of real-time data mining algorithms. Prove that new theories and methods are effective and create prototype system.