传感网络在水电边坡变形优化检测中应用仿真

Simulation of Sensor Network Applications in Optimal Detection for Hydropower Slope Deformation

在水电边坡变形的检测过程中,需要根据坡变幅度,布置传感节点,传递相关数据,由于坡变幅度一般都伴随不规则起伏,造成传感器节点传递的信号无法形成线性特征,传统的检测方法为了克服非线性变化,需要在大起伏区域布置多个节点,以保证检测的准确性,一旦水电边坡规模大,地质条件较为复杂,将会导致检测节点过多,降低了检测效率。为解决上述问题,提出采用坡变估计模型的水电边坡变形优化传感器检测方法。构建传感网络水电边坡变形检测模型,分别对大坡变区域进行模型的坡变参数预估、参数精估、检验模型适应性、模型修正和模型预报,根据上述模型进行模型最优化评测,实现传感网络在水电边坡变形优化检测。实验结果表明,利用改进算法进行水电边坡变形优化检测,可以减小检测误差、提高检测的准确性,提高检测效率。

In the process of hydropower slope deformation detection, sensor nodes need be arranged according to the slope change amplitude, so as to transfer the relevant data, but the slope change amplitude is generally associated with irregular fluctuation, resulting in the problem that the signals transmitted by sensor node can not form linear characteristics. To this end, an optimized sensor detection method for hydropower slope deformation is put forward based on variable slope estimation model. A sensor network hydropower slope defbrmation detection model was estab- lished, and some processes, such as slope variation parameter estimation, refined parameter estimation, test of the model adaptability, model correction and forecast, were carried out in the region of large slopes variation. The model optimization evaluation was performed based on the above model, in order to realize the optimized detection of sensor network in hydropower slope deformation. Experimental results show that the improved algorithm for hydropower slope deformation optimized detection, can reduce the detection error, improve the accuracy of detection, and augment the detection efficiency.