Unmanned aerial vehicle interference method, system and device based on infrared thermal imaging

Abstract

The invention discloses an unmanned aerial vehicle interference method, an unmanned aerial vehicle interference system and an unmanned aerial vehicle interference device based on infrared thermal imaging. The method comprises the following steps of setting a predetermined airspace receiving range, and dividing the airspace receiving range into a plurality of areas; setting a predetermined image library in which an infrared thermal imaging feature parameter of the unmanned aerial vehicle is pre-stored; receiving thermal infrared radiation signals within the receiving range at predetermined intervals; acquiring infrared image feature data by processing the thermal infrared radiation signals; comparing the feature data with the feature parameter stored in the predetermine image library, and if a comparison result indicates that the feature data is accordant with the feature parameter, computing an area position to which the unmanned aerial vehicle currently belongs in the thermal image; and sending an interference signal to the area position, wherein the interference signal is used for interfering a communication link between the unmanned aerial vehicle and an unmanned aerial vehicle controller. According to the method, the system and the device provided by the invention, the invasive unmanned aerial vehicle can be interfered without accurately positioning and real-time tracking the unmanned aerial vehicle, cost is low, operation is simple, and lots of computation resources are not needed.

Description

technical field [0001] The invention relates to the field of anti-UAV, in particular to a UAV jamming method, system and device based on infrared thermal imaging. Background technique [0002] With the reduction of drone development and manufacturing costs, the drone industry has developed rapidly, and civilian drones have been gradually applied to entertainment, logistics, news, search and rescue, energy, remote sensing mapping and other fields, close to the lives of ordinary people. As of 2015, there were more than 400 domestic companies engaged in the research and development, production and sales of UAVs, and the total demand for operators of consumer UAVs exceeded 100,000. my country has operations with UAV certificates issued by relevant agencies. There are only 2,142 personnel, and almost 20,000 drones are in black flight every year. Due to the imperfect laws and regulations and the lack of monitoring and countermeasures, the black flying of drones has become a thorny...

AI Technical Summary

Problems solved by technology

Due to the incompleteness of relevant laws and regulations, and the lack of monitoring and countermeasures, the black flight of drones has become a difficult international social problem. Various incidents involving the black flight of drones are always It has caused widespread heated discussions in the society; and the disorderly and even illegal use of drones has brought major safety hazards, privacy violations and potential threats to society and individuals, and has also brought huge new challenges to social security.

[0003] At present, there have been many incidents of drones illegally entering sensitive airspace around the world. Illegal flights of drones will pose a threat to national public security, flight safety and even air defense security. Drones cannot be left unattended. The machine has great potential for transformation, it is easy to carry explosives, harmful chemicals, etc., and it is easy to become a tool for terrorist attacks and illegal surveillance, which brings great hidden dangers to public safety

[0004] Existing anti-UAV equipment usually first needs to identify the UAVs in the airspace, then track the identified UAVs, and finally intercept the UAVs by means of interference and capture. However, at night or in large areas In severe weather such as fog, image recognition can hardly work normally, and the cost of radar recognition is relatively high. In addition, existing solutions also need to accurately locate and track the identified UAVs in real time for subsequent interference or Capture still requires a lot of computing resources

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