Design And Implementation Of A Smart Campus Monitoring System Based On Cloud Platform

With the rapid development of science and technology and network,information technology connects hardware equipment,software engineering and communication,and makes campus systems constantly upgrade.However,due to the opening of the campus to the outside world,the concentration of personnel complex,the number of buildings,for the vast number of teachers and students to provide a comfortable office,teaching and living environment,but the security risks can not be ignored.Such as campus building fire prevention,air environment,foreign personnel break-in and infectious diseases and other related factors,will affect the campus teachers and students of personal and property safety.How to effectively monitor campus buildings and personnel to deal with possible crises and disasters is an urgent problem to be solved.At the same time,under the monitoring of large area environment and personnel in campus building,a large number of data storage,information processing and intelligent control have become the problem point of campus intelligent system.With this as a background,this paper designs a cloud-based intelligent campus monitoring system,through cloud platform technology,Internet of Things technology and various types of sensor technology to achieve real-time intelligent monitoring of campus environment,access to intelligent detection and identification,abnormal situationcan can be alarm,reduce human negligence and cause campus security incidents.It is an intelligent campus monitoring scheme.The main research content is as follows:First of all,The system is divided into two parts: hardware terminal and Web monitor interface.The hardware terminal is composed of three parts: personnel information acquisition unit,environmental monitoring unit and access control unit.The dl-20 Zigbee module is used to realize Zigbee networking communication among the units,and the data is collected and integrated through the environmental monitoring unit and sent to the OneNET cloud platform server.The data interaction with the Web monitoring interface is realized through the OneNET cloud platform server.The personnel information acquisition unit takes STM32F407VGT6 as the main control core to realize the personnel face recognition and temperature detection functions.The function of human face recognition is to collect human face information through OV2640 camera and upload the data to baidu cloud platform with the help of 88W8782 WiFi module.The function of human face recognition is realized with the help of baidu cloud platform's face recognition API interface.The gy-mcu90614 human body infrared sensor module is used to realize human body temperature detection.Environmental monitoring unit,door control unit are STM32F103C8T6 as control core,environment monitoring unit by DHT11 temperature and humidity sensor,MQ-2 smoke sensors and infrared flame sensor to realize real-time monitoring for the campus environment,using the buzzer alarm when abnormal situation,at the same time environmental monitoring unit using ESP-01 S WiFi module implementation OneNET cloud platform access.The access control unit is the hardware execution unit of the system.The master control chip controls the state of the electromagnetic lock switch by controlling the on-off of the relay so as to realize the access control function.Web monitoring interface provides real-time monitoring information display,personnel data information management,historical monitoring data query and other functions.The system each node through the Zigbee network connection has the advantages of no wiring,easy to transform face recognition algorithm is realized in baidu YunPing the strength at the same time reduce the requirements on the performance of the main control chip,can reduce the system cost make the system performance and the system using the Web as a monitoring interface can facilitate users in computers,cell phones,and other monitoring platform implementation.The test results show that the intelligent campus monitoring system has achieved the expected design goal by combining the data processing of multi-cloud platform and multi-network.