Research On Multi-agent Railway Canopy Health Monitoring System Based On Hybrid Storage

As an important facility to ensure the safety of passenger traffic,railway platform canopies are increasingly concerned about their structural health.With the development of sensing technology and computer technology,traditional monitoring systems have been unable to meet the complex needs of large-scale structural monitoring,and intelligent monitoring systems exist.The problem is not high,the scalability is not strong,and the massive monitoring data storage in the system.Therefore,this paper designs a multi-agent railway canopy health monitoring system based on hybrid storage.The hybrid storage model is used to solve the data storage problem and use multi-agent Technology completed the construction and implementation of the monitoring system.The main research work of this paper is as follows:(1)By analyzing the health monitoring process of the steel structure of the railway canopy,the system is divided into a data acquisition layer,a data analysis layer,a data management layer,a data processing layer,a damage diagnosis layer,and user interaction in combination with the design method of the multi-agent system.There are six layers,which are assigned to the corresponding Agent for implementation.The specific functions and structures of each Agent are designed in detail.An intelligent and modular multi-agent railway canopy health monitoring system model is constructed using the message-passing Agent communication mechanism.(2)Aiming at the different business needs of the monitoring system data,a data hybrid storage architecture combining a relational database(SQL Server)and a No SQL database(Mongo DB)is designed to store a large amount of monitoring data into a No SQL database,and other data is stored in a relationship In the database,the detailed storage scheme and data access interface of the corresponding database are designed to solve the data storage problem in the system.In addition,according to the fast access requirements of some "hot data" in the system,which is frequently used for calculation,a storage optimization scheme for storing some data internally during system initialization is designed to further improve system performance.(3)According to the multi-agent railway canopy health monitoring system model based on hybrid storage designed in this paper,the specific implementation technology of the monitoring system is studied,and modern advanced sensing equipment is used to form the hardware part of the system.And its communication mechanism is designed in detail,and the system studied in this paper is applied to the health monitoring of the platform canopy of Haikou East Station,and the development and application of the railway canopy health monitoring system is realized.The multi-agent health monitoring system based on the hybrid storage model studied in this paper solves the storage problem of massive monitoring data,realizes the condition monitoring and health diagnosis of the steel structure of the railway canopy,and has good robustness and practicality in the actual application process.The scalability and maintainability provide reference for the development of large-scale structural health monitoring systems.