论文部分内容阅读
为扩展灌区水情实时监测系统的时空覆盖能力,增强系统的检测性能和可靠性,采用基于灌溉渠系运行仿真模型,通过在系统输入变量上叠加“干扰流量”的方法,建立起离散的实时监测数据之间的关联,同时基于对灌区用水模糊特征的分析,估计干扰用水的不确定性,使系统保持必要的信息冗余,进而应用信息融合理论和数值拟合等方法实现灌区水情信息融合。该方法不仅对建立具有跟踪能力的灌区实时仿真系统具有应用价值,而且克服了信息融合技术用于复杂系统的诸多限制,为扩展信息融合理论在系统方程确定的众多民用领域的应用,提出了一个普遍适用的技术途径。
In order to expand the space-time coverage ability of the real-time monitoring system of hydrological conditions in irrigated area and enhance the detection performance and reliability of the system, a simulation model based on canal system operation is adopted. By superimposing “interference flow” on the system input variables, a discrete Real-time monitoring of data, and at the same time, based on the analysis of fuzzy feature of water use in irrigation area, the uncertainty of water usage is estimated and the system is kept redundant. Then the information fusion theory and numerical fitting method are used to realize the water regime of irrigation area Information fusion. This method not only has application value for establishing real-time simulation system of irrigated area with tracking capability, but also overcomes many limitations of information fusion technology for complex system. In order to extend the application of information fusion theory in many civil fields with system equations, Commonly used technical approach.