Research On Online Monitoring And Early Warning System Of Tailings Pond Based On 3D GIS Technology

Tailings pond disasters are a major source of danger that threatens human survival.Tailings ponds in use in China account for 60% of the world's total,and most of them are high-risk upstream tailings ponds.The potential dam-breaking risk to downstream residents,facilities and environment poses a serious threat,so ensuring the safety and stability of the tailings pond is vital to regional economic development and social stability.The rapid development of modern computer technology and network technology has gradually matured the tailings pond online monitoring and risk forecasting technology.China has established a relatively complete tailings pond disaster online monitoring system,which has played an important role in the prevention and control of tailings pond disasters,but With the development of the Internet of Things,cloud computing,disaster simulation and other technologies,the existing tailings pond monitoring system has put forward higher requirements in the accuracy of risk determination and advanced disaster prediction.In this thesis,the Yangjiawan tailings reservoir is selected as the background.For the current mainstream two-dimensional monitoring system,spatial data analysis cannot be implemented;simply based on single-factor early-warning,it is impossible to realize the correlation analysis of disaster-causing factors.Based on three-dimensional GIS technology,the construction covers Three-dimensional real-world models of three-dimensional terrain and morphology,dam structure,traffic road network and other information,and based on this,develop monitoring and early warning functions based on specifications;in addition,in order to achieve the collection of diversified monitoring data and cross-platform data reading,the universal Internet of things gateway has been developed;Secondly,the bank slope stability analysis model was established to realize the slope stability calculation under the multi-factor synergy.The details are as follows:This paper first learned about domestic and foreign research and technology development trends of tailing pond monitoring and early warning technology through literature review,determine the technical route and specific research content of this paper,and the technologies of tailings pond monitoring and early warning system are outlined in detail.Secondly,through the understanding of the Yangjiawan tailings pond project overview,the monitoring project requirements,functional requirements,performance requirements,and user needs of the Yangjiawan tailings pond were determined,and then the scheme was designed for the specific needs,and the overall plan was written,including data acquisition,IoT gateway,data transmission,and application system implementation,the monitoring data from acquisition,transmission,processing to the final application is roughly explained,and the overall solution is also decomposed into hardware design,software The five-part design scheme of architecture design,three-dimensional scene design,functional module design,and database design explains the system from multiple aspects in detail.In addition,a detailed study is made on the early warning model.The system uses a combination of quantitative and qualitative warnings for early warning.Quantitative warnings include single-factor warnings and multi-factor joint warnings.The early warning model is applied to the system.Finally,the B/S three-layer structure model was used for development,PHP language was used as the server language,Vue framework was used for front-end display,and MySQL database was used to store the monitoring data,achieving the functions of data display,model display,data query and early warning,and through simulation of the real environment by building the hardware environment,software environment and network environment,verified the feasibility of the system.