Design And Implementation Of Embedded Data Service Middleware For Seismic Precursor Signal Observation Instrument

The seismic monitoring signal data generated by the seismic precursor signal observation instrument is the key information in the field of earthquake prevention and early warning,so it is necessary to establish a reliable and rapid management mode.With the continuous improvement of earthquake signal early warning system system,more and more earthquake precursor signal observation instruments have been added to earthquake signal early warning system,which has brought more or less problems.For example,the data display at the precursor device information collection layer and the upper application layer is heterogeneous to some extent,and the data format is quite different,and the multi-platform and multi-device lack sufficient co-existence.This requires an efficient,reliable and easy to embed data management and service software system,through the universal deployment on the data terminal to solve this problem.In this thesis,a Data Service Middleware scheme based on B/S architecture for interaction between seismic precursor signal observation equipment and remote access terminals is proposed.Combined with embedded technology,compatible and universal deployment of heterogeneous terminals is realized,and related problems are solved.The main work of this thesis is as follows:(1)Analyze the working principle and signal readout requirements of various seismic precursor signal observation instruments,determine the overall function of this embedded data service middleware system,and formulate the system design scheme(2)Completed the software system design according to the scheme.Based on the hardware platform based on I.MX6 ULL embedded processor,the java development and running environment in embedded platform is built and the driver is adapted.Based on the Spring Boot background development framework,Layui,Vue and other front-end development frameworks,with lightweight My SQL database,the backend interaction,read and call data file functions are realized.(3)Functional and reliability tests are carried out on the system.The final test results show that the embedded data service middleware system can stably realize the access and presentation of real-time data of earthquake precursor signal instrument,upload and download log,remote editing of basic information such as instrument ip address and station location,as well as the basic functions such as instrument condition monitoringIn addition,the research on data reliability and precursor signal anomaly prediction based on data fusion technology is also carried out.Based on the real-time data collected by a variety of precursor devices,false positives and false positives of a single device are avoided,and multi-data fusion technology is added.By training the environmental parameter data related to environmental meteorological precursor phenomena in the historical sample data,the characteristic data of whether the precursor phenomenon occurs or not is extracted,and the Fisher linear discrimination is used to judge whether a certain degree of abnormal meteorological precursor phenomenon occurs.The validity of the embedded middleware service system is proved by simulation.