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针对水闸监测数据信息量大、错综复杂、彼此存在相关性的特点,将分形理论应用于水闸安全监测数据分析研究中,对闸室底板渗压时间曲线的盒维数进行分析。结果表明,测点的分形盒维数可反映与渗流相关的地基均匀程度、复杂程度、相邻测点的自相似性,且测点的渗压值曲线变化复杂程度与该点的盒维数大小成正比。采用分型理论对水闸监测数据分析可获得整个闸室底板渗压值全场变化规律,为水闸安全提供保证。
According to the characteristics of large and complicated information of sluice monitoring data and their correlation with each other, the fractal theory is applied to the analysis of sluice safety monitoring data, and the box dimension of sluice chamber seepage time curve is analyzed. The results show that the fractal box dimension of the measuring point can reflect the degree and complexity of the foundation and the self-similarity of the adjacent measuring points, and the complexity of the change of the measured value and the box dimension of the point The size is proportional. Using sub-type theory to analyze the sluice monitoring data, we can get the change law of the whole subsidence value of sluice floor, and provide the guarantee for sluice safety.