Research And Implementation Of Device Linkage Control System Based On Internet Of Things

Nowadays,IoT(Internet of Things)technology has penetrated into many aspects of people's lives.A wide variety of IoT applications provide convenient and intelligent information services for people.However,in most of the current IoT systems used in production and life,especially for monitoring,alarming,target identification and tracking,the sensing devices are working independently.These IoT systems exhibit several shortcomings in completeness,intelligence,convenience,energy efficiency,etc.To attack this challenge,we propose an approach for multi-level device linkage control in IoT systems,and design a system with human-computer interface based on B/S-MVC architecture,with features of security surveillance,target identification and tracking,evidence collection and historical playback.In specific,firstly,we design and develop a distributed device linkage control system based on IoT.The system follows hierarchical and modular design patterns,consisting of Web display and control system,publish-subscribe system,unified resource access platform and database system.Besides meeting users' demands in functionality,the system enables scalability and reusability in certain level.Secondly,we focus on the design and implementation of the Web display and control system for device linkage control.The system is a Web application based on MVC architecture and Java EE SSH(Struts-Spring-Hibernate)framework.Meanwhile,it's also a rich-client application,which uses client technologies such as HTML5 Canvas,CSS3 animation,Ajax,jQuery UI and client storage to display devices'data in a multi-dimensional way and control devices real-timely.We also design and implement a comprehensive,user-friendly and real-time device linkage control process and interface.Finally,we evaluate the Web display and control system from the functional and performance aspects.Functional testing is conducted for different modules,and test cases are designed.For the performance evaluation,several metrics are experimentally analyzed including response time,resource utilization,system stability,etc.