Composite interception strategy-based unmanned aerial vehicle prevention and control intelligent decision making method

Abstract

The invention discloses a composite interception strategy-based unmanned aerial vehicle prevention and control intelligent decision making method. The method comprises the steps of: 1) when an omnibearing array antenna passively intercepts and receives remote control and image transmission radio frequency signals emitted by an unmanned aerial vehicle and an operator, solving positioning information of a speed and a direction of the unmanned aerial vehicle by an unmanned aerial vehicle spectrum detection system according to the signals; 2) transmitting the positioning information of the unmanned aerial vehicle or a scene defined by a user to a machine logic control system, establishing a relationship between input and output by a control system through a mathematic model, calculating an output result by the control system according to input information and a transmission function, and deciding an interception scheme to intercept black-flight unmanned aerial vehicles; 3) intercepting, preventing and controlling the black-flight unmanned aerial vehicles according to the interception scheme and a basic interception way of an interception system; and 4) feeding back interception information of the unmanned aerial vehicles to a machine reinforcement learning system, and continuously optimizing a mathematic algorithm model of the machine logic control system through a machine reinforcement learning system, so as to improve the decision of the machine logic control system.

Description

Technical field [0001] The invention relates to the field of drone flight prevention and control and artificial intelligence, in particular to a drone prevention and control intelligent decision-making method based on a compound interception strategy. Background technique [0002] In recent years, both in the military and civilian fields, the application of UAVs has increased rapidly. According to incomplete statistics, in 2017 alone, the total sales of drones in the global market exceeded 800,000 sorties. Among them, drones used in the military field accounted for about 10% of the market, while the remaining 90% were Put into the civilian field. The current development trend of drones is smaller size, lower price, and wider civilian use, and drones have been widely used in express delivery, terrain exploration, pesticide spraying, cable inspection and other industries. Great results have been achieved in terms of economic and social benefits. However, as the price of drones h...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of single interception means of unmanned aerial vehicles in the prior art, and the artificially formulated interception plan is not fast enough and perfect, and provides an intelligent decision-making method for the prevention and control of unmanned aerial vehicles based on a composite interception strategy, which has machine intelligence Decision-making UAV interception scheme, combination of various UAV interception methods, etc.

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