Research Of Alarm Prediction In Network Alarm System Based On BP Artificial Neural Network

With the application of computer technology into all walks of life, public safety isalso gradually moving towards a process of information.with the widespreadimplementation of the "Golden Shield Project", the alarm software of all kinds ofanti-technology growth mushroomed.Technical Security Alarm software, networkalarm system is an important branch, in the use of the current China, network alarmsystem of universities and institutions to expand households and firms.while networkalarm systems extensive researched, but also to produce many software companieswho research them.The development of applications of these companies, ideas andsome different needs, the development of network alarm software are different, theinformation stored in the model is also not the same, which is largely responsible forthe information of the locality and closed,not conducive to the policemen of a widerange of statistical inquiry.When the current network alarm system during use, many of the alarm data areartificial improper operation or failure to disarm caused some interference on the realnetwork alarm events.The distinction of alarm information can only be’s initiatives tomake its own judgment to the network alarm center staff under the circumstances,which may cause inaccuracy of the response alarm, but also delayed the speed ofresponse alarm.To find a new network alarm events is true or false positive events on the policestation policemen have important role in how we can identify, not only to quicklydistinguish between the new network alarm events to help improve rapid responsecapability of the police station policemen, earlywell prepared to protect social securityand people’s lives and property, can contribute to social stability.This article is basedon network alarm system not only consider the inter-city, inter-provincial demand for software, but also to design a method makes it possible to predict the new upload ofnetwork alarm events.In the network involved in the development of network alarmsystem alarm history data, using BP artificial neural algorithm using Matlab softwaredevelopment network prediction model to predict the network alarm events, and beable to more accurately forecast new network alarm event is a false positive Alarmingspeed of the accuracy of the response alarm network alarm center and police stationand police officers.