Research And Development And Application Of Public Health Emergency Prevention And Control System In Colleges And Universities

At present,public health emergencies in colleges and universities have become a prominent problem that endangers the stability of colleges and universities and even society.Colleges and universities have a large flow of people and strong contacts,which often result in crowd gatherings due to mobile behaviors among users.At the same time,after investigations,it is found that public health emergencies are more likely to occur in crowded areas such as colleges and universities,and have the characteristics of strong explosiveness and difficult handling.Therefore,judging the behavior trajectory of university users is of great significance for predicting the outbreak of public health emergencies and preventing the spread of public health emergencies.This paper takes the user's movement trajectory in colleges and universities as the research object,and proposes a Markov position prediction model based on the movement pattern.It predicts the user's movement position by mining the position correlation in the historical movement trajectory,and applies the model to the system.This project has designed and realized the prevention and control system of public health emergencies in colleges and universities with the function of gathering early warning.The main work of this paper is as follows:Firstly,it analyzes the research status of domestic and foreign universities in the prevention and control of public health emergencies and system development,and summarizes the problems and deficiencies encountered by universities in the process of responding to public health emergencies.By collecting the needs of health prevention and control in colleges and universities,the demand analysis is carried out and the overall design of the system is carried out.Secondly,a Markov position prediction model based on movement patterns is proposed.The model is divided into movement pattern mining and Markov position prediction.In the stage of movement pattern mining,an individual movement pattern mining method based on improved Apriori algorithm is proposed to solve the problems of low accuracy and large error of traditional individual movement pattern mining algorithm,which improves the accuracy of the prediction results.At the same time,in order to obtain user group movement pattern,A group movement pattern mining method based on similarity clustering is proposed.The movement pattern obtained at this stage is used in the research of the Markov position prediction stage.The Markov location prediction stage is divided into aggregation point prediction and individual mobile location prediction.The aggregation point prediction can know in advance the location where the user group is most likely to gather,and the mobile location prediction of individual users can be used to find users who may cause clustering in the area.By counting the information and number of such users,the warning level of the gathering place can be judged to decide whether to conduct personnel evacuation control.The effectiveness of the model is proved through experiments.Thirdly,this project has completed the selection and actual deployment of the vertical temperature measurement and certification integrated machine,intelligent temperature measurement personnel channel,and the thermal imaging temperature measurement dome camera and other equipment required by the system,and designed and implemented a system to prevent and control public health emergencies.The system is mainly used in the health prevention and control work of colleges and universities.It replaces traditional manual supervision through functional modules such as system health management and alarm management,and the proposed prediction model is applied to the cluster early warning module of the system to realize the intelligent management and control of crowd gathering early warning.The system adopts the front-end and back-end separation mode to ensure the maintainability and scalability of the system.In addition,a security design is added to the system to protect users' information security through methods such as login verification and access control management to meet the needs of university users.