Research And Implementation Of Middleware For Monitoring System

With the development of Internet of Things technology,the types and types of Internet of Things applications are increasing day by day.Information islands have become an obstacle to the large-scale Internet of Things applications.In order to eliminate information islands and break the barriers to interaction,middleware technology has emerged.As the bridge of information interaction between the sensing layer and the application layer,the Internet of Things middleware realizes the shared reuse of perceived resources and avoids the waste of perceived data and resources.It is an important link for the development of Internet of Things applications to large-scale and intelligent.This paper deeply studies the architecture and characteristics of the Internet of Things middleware,and studies the data processing,data transmission mechanism and service matching optimization.It analyzes the problems of the current monitoring system middleware.The SOA-based monitoring system middleware is designed to realize on-demand distribution and open sharing of service information among multiple systems.In order to solve the problem of data heterogeneity and fusion,a complex event processing technique is adopted to propose an event-driven data processing method,and finally aggregates effective perceptual data.The message queue is used to implement the transmission mechanism based on the publish/subscribe mode,and the problem of real-time push of service resource information and data interconnection between systems is solved.Considering the influence of time on QoS attributes,a time-based QoS model(TSQM)is proposed to dynamically model QoS.Based on this model,a service matching algorithm based on user QoS request and priority(QPSM)is proposed.Experimental results demonstrate the feasibility and effectiveness of the model and algorithm.Based on the theoretical research and monitoring system middleware model,the lighting monitoring management system is designed and implemented,realizing the basic functions of real-time monitoring and regulation,and transmitting and processing data with low delay and error rate.The response time and transaction speed verify the effectiveness of the middleware platform.