The Genetic Algorithm Technology Of Integrated Information Applied On Slope Monitoring

Slope stability depends upon two factors, material properties and change of the landscape of the slope. Due to the complexity, diversity, non-uniformity of geological conditions and construction of the disturbance , the stability of the slope is particularly complex to determine.It has been shown that slope monitoring is a useful means to monitor the change state of the slope during construction. If properly applied, it can serve as a guideance or referance to the desigen and construction of the slope. the construction process of rock slope deformation monitoring, design and construction of the slope is of great guiding significance and economic significance.The paper takes the wangjianglin slope as a backing, base on the monitoring data of the slope, focus on movement characteristics of slope, processing slope monitoring data and applications of multi-sensor information fusion theory etc in research. The paper base on the characteristics of slope movement and slope monitoring data, fuse the slope monitoring data, extract an information of slope' s total displacement, make stability evaluation.using improved genetic algorithm to slope monitoring data for data integration processing. Curve after the data integration could be the true slope of the response to the situation of the overall deformation. Confirmed the integration of information technology for basic research in the slope of the feasibility of the issue. Through on-site monitoring and information fusion analyzing, it plays a very key role to provide theoretical basis and data support for the slope dynamic and construction which ensure slope construction smoothly.