大型水电站边坡安全评价和预警决策系统开发
[Abstract]:In the process of hydropower development, many problems of high slope engineering will inevitably be encountered, especially in the mountainous gorge area of southwest China, which is rich in hydro-energy resources. Based on the existing research results of slope safety evaluation and early warning, this paper has carried out systematic research from four parts: slope information collection, monitoring information processing and analysis and prediction, real-time safety evaluation, early warning and auxiliary decision-making. A set of safety evaluation and early-warning decision-making system for large-scale hydropower station slope is developed. The main research contents and results are summarized as follows: (1) based on the Internet of things technology to build slope engineering information collection and feedback platform. Based on sensor, wireless sensor network (WSN) 3G / 4G network and Internet, the platform of information acquisition and feedback is built. (2) based on real-time monitoring data, the Internet of things is applied to the slope engineering of hydropower station. Based on the theory of variable set, a real-time evaluation method for slope performance is proposed. According to the dynamic monitoring and layout of slope in different periods, the comprehensive evaluation system of the measured behavior of slope is established. According to the numerical simulation, statistical analysis or empirical dynamic determination of the evaluation standard of the index, the comprehensive evaluation system is synthesized. The objective weight determines the dynamic weight of the indexes varying with the monitoring state. Finally, based on the variable set theory, the real-time comprehensive evaluation of the measured behavior of the slope is realized. (3) considering the variation of the excavation schedule during the slope construction, the new geological information is disclosed. Based on the change information of support scheme and calculation parameters, a real-time safety simulation method of slope based on numerical simulation technology is proposed. Based on database technology and ABAQUS secondary development technology, the dynamic mapping of construction progress information, geological information and support information to numerical calculation model is realized, and the dynamic inversion of mechanical parameters of slope rock mass is realized based on real-time monitoring information. Finally, the real-time simulation analysis and prediction of slope safety state are realized. (4) based on the abnormal evaluation of slope monitoring information, the real-time evaluation of slope measured state is achieved. A two-stage slope safety early warning system is proposed by real-time slope safety simulation and expert knowledge base. Temporal and spatial distribution evaluation, mechanical law evaluation, monitoring model evaluation and monitoring index are used to evaluate real-time online detection anomalies. After finding the anomaly, the comprehensive evaluation method of slope measured behavior and the real-time safety simulation method of slope are used to further analyze the whole, local safety state and possible disaster forms of the slope, based on various analysis results, Using the expert system based on the evaluation results to determine the final slope warning level; according to the slope possible disaster form, the slope level and the danger level start up the corresponding emergency plan quickly. (5) the development includes three platforms, Five modules and a website for slope safety evaluation and early-warning decision-making system of large hydropower station. The system realizes the integration of real-time analysis and fast feedback of "acquisition-processing-analysis-evaluation-feedback-early warning-decision".
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TV223
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