地质灾害监测系统的研究与实现

发布时间：2018-03-16 06:07

本文选题：地质灾害监测　切入点：神经网络算法　出处：《西安工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：地质灾害的有救监测和预测预警关系着人民群众的生命与财富安全,监测数据的及时获取、灾害信息的准确预警已经变得至关重要,传统手工监测预警不具备数据监测的实时性与灾害预警的准确性。本文以影响地质灾害发生的因素以及地质灾害监测预警型为研究对象.提出了基于C#开发平台的地质灾害监测预警系统。本文首先完成了地质灾害监测关于形成条件、影响因素及监测内容的可行性分析,详细介绍了监测预警相关核心算法与应用模型。其次,文章着重研究了运用RTU设备(传感器)采集灾害现场数据传至地质灾害监测预警系统进行解析并分析结果,以及实时传递展现地质灾害现场的信息,基于神经网络算法的改进创新形成地质灾害监测系统预警模型,该模型支持灾害实际监测数据的模拟实验,能够在数据训练过程中快速找到最优解,并且通过大量的采集的样本数据进行相应的模拟训练学习以此来验证所设计的预测模型的效率。最后,不仅可以解决地质灾害的漏报情况还可以使监测点产生的误报倍息得到解决,对于各个灾害点在未来某个时段是否发生地质灾害做出预测。系统的分析与设计,在经过大量实验与测试分析后,验证了该系统的适用性和有效性。经由西安捷达测控有限公司对该监测预警系统实用化改进与应用,更加证实了系统对于灾害监测预警的可观效益,完完整整的实现了对地质灾害监测点采集的数据的实时监测以及对某个监测点在未来发生地质灾害做出准确预测,这是传统人工进行群测群防时的不足。
[Abstract]:The safety of people's lives and wealth is closely related to the rescue monitoring and early warning of geological disasters. With the timely acquisition of monitoring data, the accurate early warning of disaster information has become very important. The traditional manual monitoring and early warning does not have the real-time performance of data monitoring and the accuracy of disaster early warning. This paper takes the factors affecting the occurrence of geological hazards and the monitoring and warning type of geological hazards as the research object, and puts forward a development platform based on C #. In this paper, the formation conditions of geological hazard monitoring are first completed. The influencing factors and the feasibility of monitoring contents are analyzed, and the core algorithms and application models of monitoring and early warning are introduced in detail. Secondly, This paper focuses on the application of RTU equipment (sensors) to collect disaster field data to analyze and analyze the results of geological hazard monitoring and warning system, and to transmit the information of geological hazard field in real time. Based on the improvement and innovation of neural network algorithm, the early warning model of geological hazard monitoring system is formed. The model supports the simulation experiment of the actual monitoring data of disasters, and can quickly find the optimal solution in the process of data training. And through a large number of collected sample data for the corresponding simulation training learning to verify the efficiency of the designed prediction model. Finally, It can not only solve the failure to report geological hazards, but also solve the misinformation of monitoring points, and predict whether geological disasters will occur at some time in the future. The systematic analysis and design, After a large number of experiments and tests, the applicability and effectiveness of the system are verified. The practical improvement and application of the system are carried out through Xi'an Jetta Measurement and Control Co., Ltd. It also confirms the considerable benefit of the system for disaster monitoring and early warning, realizes the real-time monitoring of the data collected from the geological hazard monitoring points and makes an accurate prediction of the geological hazards in the future at a certain monitoring point. This is the deficiency of the traditional manual group detection and prevention.
【学位授予单位】：西安工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP274

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