Design And Implementation Of Campus Security Situational Awareness And Automatic Alarm System

The campus security issue is extremely important in social security governance.It has become a hot issue of concern to all sectors of society.Situation awareness,as the basis for ensuring the construction of a smart campus security environment,is an important solution to campus security issues.Therefore,it is necessary to design and implement a security situation awareness and automatic alarm system for edge computing.From the perspective of typed data,information,knowledge campus security situation resources,this study researched real-time situation awareness of security in campus environment through modeling multiple security factors.It also achieved target of predicting future security situation.Meanwhile,when campus security is threatened,automatic alarm system will start to prompt administrator.The designed system can run in an IPv6 environment.First of all,the data-information-knowledge hierarchical modeling,organizing,and storage of situation resources was carried out in the smart campus scenario from the physical,chemical,fire,and traffic factors affecting campus security.Meanwhile,it also was necessary to construct edge nodes for collecting real-time resources.Secondly,this article constructed the campus security situation awareness and prediction model on the basis of resource processing architecture consisted of Data Graph,Information Graph,and Knowledge Graph.The proposed model preprocess data on Data Graph through data cleaning and feature selection.It performs correlation analysis on the basis of statistical frequency.The proposed model eliminates redundancy and inconsistency on Information Graph.It performs interactive analysis operations on the basis of interactive models.The proposed model carries out integrity processing on Knowledge Graph.it performs intelligent inference operations on the basis of path ranking calculations.Situation prediction uses exponentially weighted moving average to estimate the next acquisition in the data layer.It inputs the estimated value into the situation awareness model in order to obtain situation prediction result in three levels.Thirdly,the proposed system considered and carried out the campus security automatic alarm mechanism on the basis of expert system principle.This mechanism aims to generate an alarm to alert the administrator triggered from three levels of data,information,and knowledge when the campus security is threatened.Finally,the Django design framework with Python was used to implement the system.The Html,Css,Js,etc.was used to design an interactive visual Web front end.The Numpy,Pandas and other packages was used to design the resource processing back-end of the proposed system model and approach.The d3.js,Echart,and Baidu map API was used to design and analyze the visual interface of analysis results.System testing found that while the system satisfies the functional requirements well,it also performs better a performance evaluation system composed of satisfaction and experience.In order to optimize the resource transmission delay in the edge computing environment,this study proposed a situational resource transmission optimization mechanism.This mechanism takes into account the principle of changes in resource size caused by changes in resource types.It carried out transmission optimization to reduce delay on wireless sensor networks through coordinated adjustment of computing and storage.This mechanism is intended to provide guidance when the system nodes are actually deployed.