基于高阶Packet Tracer的温室智能物联网系统仿真研究  

Simulation of Intelligent Internet of Things System Based on High-Level Packet Tracer

作　　者：王永红[1,2] 王诗瑶 WANG Yonghong;WANG Shiyao(Jiangsu Agri-animal Husbandry Vocational College,Taizhou 225300,China;Jiangsu Agricultural Internet of Things Engineering Center,Taizhou 225300,China)

机构地区：[1]江苏农牧科技职业学院,江苏泰州225300 [2]江苏省农业物联网工程中心,江苏泰州225300

出　　处：《河南农业科学》2021年第6期156-162,共7页Journal of Henan Agricultural Sciences

基　　金：国家自然科学基金项目(31172243);江苏省泰州市科技支撑计划(农业)项目(SNY20180027);江苏农牧科技职业学院横向项目(11710119005)。

摘　　要：智能物联网系统仿真有益于物联网系统设计与实施。仿真试验采用高阶Packet Tracer虚拟化仿真软件,设计了具有智能感知、智能传输和智能控制功能的系统仿真模型,以及带有智能判断的系统控制模型,引入了动态环境管理,通过Python逻辑编程实现了智能物联网在感知层、传输层和应用层过程仿真。仿真结果表明,物联网系统每隔1 s获取到环境因子与执行器件状态,与对照用终端设备的检测结果一致;依据控制模型,远程终端和云端服务器能够智能或人工控制执行器件状态,实时调节环境因子。执行器件对环境因子的影响存在多对多的关系。仿真试验达到了研究目的。Intelligent internet of things(IoT)system simulation is beneficial to the design and implementation of IoT systems.This simulation test adopted high-level Packet Tracer virtualization simulation software,and designed a system simulation model with intelligent perception,intelligent transmission and intelligent control functions,as well as a system control model with intelligent judgment,and introduced dynamic environment management.Then,through Python logic programming it realized the process simulation of the intelligent IoT in the perception layer,transmission layer and application layer.The simulation results showed that the IoT system obtained the environmental factors and the status of the execution device every 1 s,which were consistent with the test results of the control terminal equipment.Based on the control model,the IoT system could intelligently or manually control the state of the actuator through the remote terminal and the cloud server,and could adjust the environmental factors in real time.In the simulation,there was a many-to-many relationship in the impact of the execution device on the environmental factors.The simulation test achieved the purpose of the research.

关 键 词：温室 物联网 Packet Tracer 仿真模型 控制模型 

分 类 号：S126[农业科学—农业基础科学] TP393[自动化与计算机技术—计算机应用技术]