Research On Key Technologies Of Seismic Precursor Observation Data Acquisition Based On Cloud Platform Networking

Since the 1960 s,China’s earthquake precursor observation has been established,after nearly 60 years of development,the whole network has established more than 1,000 observation sites,more than 3100 sets of observation instruments distribution in china.It is essential to build a specified earthquake precursor Information Management System to meet the demand of earthquake precursor observation and to manage the observation data.The current earthquake precursor Information Management System was developed during the period of the 10 th Five-year Plan,which was more than ten years ago.The defect of EPIMS is exposed in several aspects,such as extendibility of operational function,cost and performance.In recent years,as the rapid development of computer science and Internet technology,the reliable and efficient collecting,managing and processing technique of Cloud Technology and Internet of things.Cloud Technology can make up for the deficiency of traditional server in reliability,fault tolerance and expansion of performance.Internet of things has unique advantages in collection and process of massive data of heterogeneous sensor.The two technique has provided new plan for building earthquake precursor observation.This paper is around the target of improving efficiency of building earthquake precursor observation.From the current situation and the demand of development of earthquake precursor observation,this paper propose a new plan of collecting data of earthquake precursor based on cloud platform,which is combined with Cloud Technology and Internet of things.This paper also make a study of key Technologies such as data acquisition configuration,cluster data acquisition and data storage technology.The main results are as follow:1.The analysis of characteristic of earthquake precursor device resource,characteristic of earthquake precursor device operational application and heterogeneity of earthquake precursor device.This paper complete the architectural design of prototype of earthquake precursor device network technology according to the demand of development of earthquake precursor observation.2.Making a study of technology in data collection of earthquake precursor device based on cloud platform,analyzing the demand of current earthquake precursor device in device access,data transmission and data storage,proposing two-stage device resource architecture of adapters and collection cluster.3.Making a study of technology in data collection based on adapters,proposing a design of data acquisition adapter based on adaptive device for dynamically accessing device access interface and completing the development of software system.4.In the cluster acquisition technology,the design of a unified scheduling scheme for data acquisition tasks has been completed.Distributed asynchronous communication and cache mechanism is designed to realize asynchronous and non-blocking task processing in cluster.5.Analyzing the mechanism of distributed non-relational database ElasticSearch and HBase,based on the comparison of performance between the demand of precursor data storage and the two database,selecting ElasticSearch to storage the precursor data and designing the storage format and data access interfaces according to ElasticSearch.Last,Make a test of the device adaptation acquisition,cluster data acquisition and data storage of ElasticSearch,the results achieved the expected.