Research On Intelligent Management System Platform Based On Software Defined Sensor Network

Nowadsys,social information is developing at a high speed,and artificial intelligence as a representative of high technology has played an increasingly important role in the current society.At present,emerging technologies,such as home automation and smart cities,have gradually become the mainstream trend of future development.As the smallest unit of smart city,network construction and intelligent control in residential parks and industrial parks have always been research hotspots.Based on the intelligent campus,this paper studies the intelligent management system platform based on software defined sensor network:collecting campus information through software defined sensor network,and then introducing face detection,objects recognition and tracking technology in artificial intelligence.Through the integration of data at the application level,the intelligent decision-making planning of the park is completed.The main work of the thesis is as follows:1.This paper first conducts a lot of basic research on the wireless sensor network,analyzes the advantages and common application scenarios of the traditional wireless sensor network,points out its shortcomings,and then compares and analyzes the characteristics of SDN technology.Combining the idea of numerical and control separation,the SDWSN architecture system was designed and we improve software-defined wireless sensor network routing algorithms.2.This paper proposes a software-defined wireless sensor network deployment plan in a smart campus,optimizes the network flow,introduces the network implementation process from both the common sensor node and the controller,and selects the relevant hardware to build the platform to test the network-related performance.3.Based on SDWSN,collect video data,build an intelligent control system.Through data acquisition,model training and testing process,carry out face detection,human flow warning and objects search and people tracking functions,intelligent monitoring and decision making.