Research On Key Technologies Of Geological Hazard Big Data,monitoring,and Early Warning

China is one of the country’s most seriously affected by geological hazards in the world,resulting in many casualties and economic losses due to geological hazards every year.The investigation and evaluation,engineering management,monitoring,and early warning of hidden dangers of geological hazards are effective means to mitigate the losses caused by geological hazards.At present,China has carried out several nationwide geological hazard surveys,and has also built several geological hazard monitoring and early warning demonstration areas,forming a large amount of geological hazard achievement data.However,there is still a project-driven situation in the field investigation of geological hazards and the management of result data.A large amount of data has not been managed uniformly,and the degree of sharing is low.With the continuous development of geological hazard monitoring and early warning work,a large amount of monitoring and early warning data has been generated,and it has continued to grow.It also puts forward higher requirements for traditional data management methods in terms of concurrency,storage expansion,and query efficiency.Combined with the construction experience of geological hazard survey and monitoring and early warning system,this paper studies and analyzes the related technical methods of geological hazard digital survey,uses smartphone to conduct geological hazard field survey,and combines with geological hazard management cloud platform to realize data synchronization management;The content and characteristics of geological hazard data were studied and analyzed,and a set of big data management technology integrating multiple databases was proposed;related technologies of mining,analysis and application of geological hazard data were studied,and the technology for rapid evaluation and analysis of geological hazard data was improved.method system.The main achievements of this paper are as follows:(1)Propose the geological occurrence measurement method based on the orientation sensor of the smartphone.Compared with the direct reading method,the vector method,and the rotation matrix method,it has the advantages of high precision and high efficiency.By placing the mobile phone in any direction,the geological occurrence can be quickly obtained,and the error in inclination measurement is smaller,which greatly improves the efficiency of geological occurrence measurement during field investigation by geologists.(2)Propose a rapid survey and statistical method of structural plane using the touch screen of smartphone.Through the photo perspective correction algorithm,the proportional relationship between the measurement window in the photo and the actual is determined.Automatically calculate the actual length and intersection relationship of the structural surface traces drawn by the user on the screen,and can calculate statistical indicators such as average trace length and connectivity rate.This method can not only improve the statistical efficiency of structural surface investigation,but also automatically generate statistical tables,rose diagrams,sketch diagrams,etc.,which can be exported into files for geologists to use in indoor data sorting.(3)Combining the characteristics of multi-source heterogeneous and massive data of geological hazard big data,build a set of management technology methods for geological hazard big data.Using the characteristics of relational database to be easy to query,manage geological hazard attribute data,and realize rich query and statistical functions;using the characteristics of high throughput and time series optimization of time series database,manage geological hazard monitoring and early warning data,and realize real-time processing and efficient management of massive data;Using the weak type and extensibility of the document database,it can manage the unstructured data of geological hazards,and realize the efficient storage management of multi-source heterogeneous and huge unstructured data.(4)Construct risk evaluation indicators and evaluation models for different types of geological hazards,and automatically determine the risk coefficient of geological hazards by mining and analyzing the attribute data of geological hazards,to identify and monitor and control the hidden hazards of geological hazards for researchers.etc.to provide data support.In addition,functions such as self-defined query and self-defined statistical analysis of geological hazard attribute data are also implemented,which provides convenience for researchers and land managers to grasp the development and distribution of geological hazards in the region.(5)Use message queue and multi-threading technology to establish a method and process optimization scheme for early warning level calculation and release.Using the data-driven model,when the monitoring data is stored,the data is sent to the early warning calculation service synchronously,and the early warning level is calculated.It effectively solves the problem of a long delay in the traditional early warning level evaluation,which needs to start the early warning calculation service through timed tasks.(6)Constructed technical methods for generating reports on monitoring and early warning results.By customizing the multi-level template system and presetting the configuration files of various objects,it can adapt to the generation of monitoring and early warning results reports at different levels,regions,and themes.