Intelligent epidemic prevention unmanned aerial vehicle based on machine learning and control method of unmanned aerial vehicle

Abstract

The invention relates to an intelligent epidemic prevention unmanned aerial vehicle based on machine learning. The unmanned aerial vehicle can realize conversion among multiple functions: an automaticdisinfectant fluid spraying function and a human body temperature monitoring function. For the automatic disinfectant fluid spraying function, the unmanned aerial vehicle can monitor crowd density inreal time in high altitude, intelligently optimize the flight path according to the returned crowd density condition, and complete the spraying, disinfecting and killing work; and for the human bodytemperature monitoring function, the unmanned aerial vehicle can detect the human body temperature by means of an infrared sensor carried by the unmanned aerial vehicle. The unmanned aerial vehicle carries the human face recognition function, and ensures that a same person only detects and stores temperature data once within a set time range. Thus, the recognition detection and information storageefficiency is greatly improved, and the image information of the human face of the person with the abnormal temperature can be fed back to a command center in time, so that the command center can take epidemic prevention isolation measures in time.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a control method of an intelligent anti-epidemic unmanned aerial vehicle based on machine learning and the unmanned aerial vehicle. Background technique [0002] At present, in the fight against the epidemic, the main methods of spraying disinfectant water are: artificial spraying, vehicle spraying, ground robot spraying, drone spraying, etc. Among them, although manual spraying has high flexibility and small disinfecting angle, the operation efficiency is low, and there is a risk of contact infection for the staff during operation; when carrying out disinfection work in a large area, vehicle spraying or ground robot spraying is generally used. The vehicle spraying efficiency is high, but due to the large size of the spraying vehicle, it is difficult to apply to the work in a small space; the ground robot spraying has a high degree of automation, but it is diffi...

AI Technical Summary

Problems solved by technology

Among them, although manual spraying has high flexibility and small disinfecting angle, the operation efficiency is low, and there is a risk of contact infection for the staff during operation; when carrying out disinfection work in a large area, vehicle spraying or ground robot spraying is generally used. The vehicle spraying efficiency is high, but due to the large size of the spraying vehicle, it is difficult to apply to the work in a small space; the ground robot spraying has a high degree of automation, but it is difficult to carry out disinfection operations in places with a large flow of people, such as railway stations, commercial plazas, etc. , and its movement speed is slow and the efficiency is low; the traditional drone spraying can complete a certain degree of spraying work, but most of the current automation is low, and because of its small load capacity, the battery life is short and difficult to complete Spraying work in large areas

[0003] In the work related to body temperature detection and identification, the following forms are currently used: manual detection and registration, which is inefficient and has the risk of contact infection; thermal imaging camera detection, which has high equipment costs and is difficult to identify Identity information of people entering and leaving; detection of ground robots, which are easily restricted by terrain and space, and move at a slower speed

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