Intelligent search system based on unmanned aerial vehicle

Abstract

The invention discloses an intelligent search system based on an unmanned aerial vehicle (UAV), comprising a UAV, a cloud server and a mobile terminal. The UAV and the mobile terminal are in communication connection with the cloud server. The UAV includes a central processing unit, an image processing unit, a laser radar unit, an infrared induction unit and a communication unit. The image processing unit, the laser radar unit, the infrared induction unit and the communication unit are connected with the central processing unit. The laser radar unit includes an electric holder, a laser emitterand a receiving unit, which are connected with the central processing unit. According to the invention, search and rescue is carried out by the UAV, possible living people are sensed by a sensor and aregion with living people is located, scanning is carried out by the laser radar, 3D imaging is carried out, the UAV can send the 3D image to the cloud server, and the disaster relief personnel can view the 3D image and determine an effective scheme through the mobile terminal. Therefore, the time for search and rescue is greatly shortened, the possibility that victims are rescued is improved, and second injury to the search and rescue personnel is reduced.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an intelligent unmanned aerial vehicle search system. Background technique [0002] In recent years, disasters such as earthquakes, tsunamis, landslides, and nuclear power plant leaks have occurred one after another. After the disaster, the building structure collapsed on site, resulting in a narrow, complex and unstable environment and topographic structure. The current rescue method is external search and rescue, that is, using some living body sensing devices to detect whether there are people waiting to be rescued under the ruins. However, ordinary detection The device cannot directly understand the internal situation from the outside, and for high-risk unknown environments such as structurally collapsed buildings, rescue personnel cannot enter rashly without guaranteeing safety, so that search and rescue personnel cannot immediately enter the disaster area f...

AI Technical Summary

Problems solved by technology

After the disaster, the building structure collapsed on site, resulting in a narrow, complex and unstable environment and topographic structure. The current rescue method is external search and rescue, that is, using some living body sensing devices to detect whether there are people waiting to be rescued under the ruins. However, ordinary detection The device cannot directly understand the internal situation from the outside, and for high-risk unknown environments such as structurally collapsed buildings, rescue personnel cannot enter rashly without guaranteeing safety, so that search and rescue personnel cannot immediately enter the disaster area for investigation and search and rescue. delay in rescue

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