| With the expansion of the airport prevention area,the scientific and technical knowledge learned by the intruders has been increasing,resulting in the inability of existing security technologies to meet the high-accuracy requirements,and to further improve the perimeter warning technology of the airport.This thesis is supported by Sichuan Province Science and Technology Plan "The Civil Aviation Airport Large High Availability Perimeter Alarm System Major Technology and Application"(No.2018GZ0069).Taking the alarm decision rules of capacitance perimeter alarm as the research object,Research on the method of reducing the false alarm rate of the capacitive disturbance perimeter alarm and the method of detecting multiple intrusion methods.The main research contents are as follows:In order to solve that capacitance disturbance perimeter alarm has alarm rate high false in rainy days,the decision rules of the original alarm are improved by using the realtime referenced induced voltage value instead of the fixed reference induced voltage value.The dielectric constant of the capacitor changes as the rainfall changes,the corresponding relationship model of the capacitance of the system with the rainfall in rainy days is obtained.According to this relationship model,the value of the capacitance can be calculated,and the real-time induced voltage value can be calculated.The calculated induced voltage value is used as the reference induced voltage value instead of the fixed reference induced voltage value,and the effect of the rainfall on the system is reduced.Finally,the method is verified by an experiment,the experimental result shows that the method proposed can reduce the error of the system in the rainy day.Then,in order to solve the problem that the capacitive disturbance perimeter alarm can only detect an intrusion behavior,the capacitive disturbance perimeter alarm and the video monitor are used to fuse the alarm,so that the alarm system can detect multiple intrusion behaviors and improve the accuracy of the alarm system.Mainly divided into the following parts:First,the multi-sensors decision fusion algorithm--D-S evidence theory is studied when the decision fusion of video signal and capacitance disturbance signal conflicts.The paper proposes the method that the cross-correlation factor of the recognition target to DS evidence theory based on the fuzzy and weighting support.According to the initial basic probability allocation(BPA),the cross-correlation degree between evidences of the same target is calculated,then the cross-correlation factor is calculated,and the crosscorrelation factor is used as the weight of the basic probability distribution function of the data source to obtain a new basic probability distribution function.Then using D-S evidence theory based on the fuzzy and weighting support to the fusion of information decisions,In the face of information fusion of complex systems,reducing the goal of evidence conflict.Probability data that Matlab simulation is used to verify the improved algorithm,and the verification result shows that the conflict of information fusion can be better solved.(2)Using the algorithm in(1),the video monitor signal and the capacitance disturbance perimeter alarm signal are used to make the decision fusion alarm.First,extracting the alarm characteristics of the information,and calculating the BPA of each alarm signal feature to identify the target.Then,the improved D-S evidence theory based on the fuzzy and weighting support in(1)is used to determine the BPA value.The result of the fusion decides whether to alert.Finally,the experimental verification of the fusion system is carried out,the experimental result shows that the fusion alarm system can detect multiple intrusion modes.perimeter... |
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