Design Of Intelligent Electronic Fence System

Electronic fence perimeter alarm system has been widely used in the field of public safety.It can effectively block and locate the location of the intrusion.However,the system signal will generate large attenuation and interference during long-distance transmission,so the result of the accuracy of intrusion targeting will be reduced.And there also have some problems in identifying the type of intrusion,such as the classification of feature information is insufficient and the rate is high of false positives.This thesis designed a narrow pulse frequency adjustable circuit and a ranging circuit based on Field-Programmable Gate Array and Verilog HDL.Then use the voltage comparator to design an effective echo detection circuit.And the multi-core support vector machines to identify the intrusion types.Finally,adopt the C# language to design the user platform of the system.The specific work content is as follows:First of all,this thesis designed the signal generation and detection circuit of the system.The circuit keeps EP4CE10E22C8 N chip and direct digital synthesizer as the central task,through Butterworth low-pass filter to feedback the adjustable narrow pulse width signal from operation amplification and DIP switch,use it can to match the different lengths of transmission distance.Then,use the voltage threshold update method to design a double-limit voltage comparison circuit,it can obtain an effective echo signal without the interference waveform.Calculate the maximum peak point by high-speed Analog-to-Digital Converter sampling and compute the fault intrusion distance to reduce measurement error.Secondly,extract and identify the characteristics of the signal.Decompose the signal into multiple waveform components by empirical mode decomposition.Calculate the singular value entropy to obtain the characteristic information of the signal.Then,input the feature information to the multi-core support vector machine,and the classification identifies different intrusion types and false alarm situations.Add positive and negative complementary Gaussian white noise to eliminate modal aliasing during signal decomposition.The recognition accuracy is improved.Finally,according to the realistic necessary to design the system user platform,the function including user management,video surveillance,electronic map and voice alarm interface.Use Access database technology to manage system status and alarm information.Achieve alarm data storage,query,display and other functions.Basically achieve autonomy and intelligence.