Design And Implementation Of Fire Remote Monitoring Software Based On Big Data

Fire is a natural disaster that often occurs in nature.In recent years,many large fires have taught people profound lessons again and again.With the development of modern economy and the expansion of city scale,the height and complexity of buildings are getting higher and higher,the fire risk coefficient of buildings is also increasing,and the disadvantages of traditional automatic fire control system and fire-fighting facilities are becoming more and more obvious.With the development of science and technology and the policies issued by the state,the development of traditional fire control to intelligent fire control is promoted.In this paper,under the background of the arrival of fire big data,the fire remote monitoring software driven by big data is completed.This paper designs and implements a fire remote monitoring system based on big data drive,which can be used to monitor the operation status of various fire-fighting equipment connected to the Internet of things.The system adopts the system architecture based on springboot and Vue,designs the whole system according to the system requirements,completes the identity authentication module,data processing module,algorithm identification module and data display module,and realizes the remote monitoring of a city’s fire fighting operation and analysis of historical data.In view of the problem of high false alarm rate in the current fire protection system,a fire alarm classification method based on machine learning is proposed.The fire alarm signal is divided into two types: false alarm and fault type false alarm.The fire alarm signal is divided into different levels,which is convenient to make the best use of the limited fire resources.From this point of view,the fire pressure caused by false alarm rate is solved.In addition,for a large number of fault alarms in fire-fighting equipment,the method of clustering in machine learning is also used to divide the fault alarms into line dropping fault,equipment damage fault and loop fault,which are used to assist the fire-fighting maintenance company in troubleshooting and relieve the pressure of equipment maintenance caused by millions of level fault alarms every year.Finally,the system is tested for the integrity of the functional test,testing the function of each module of the system,the system can basically run reliably,and each module achieves the expected goal.