Fire-fighting fire emergency rescue device based on cloud computing and use method of fire-fighting fire emergency rescue device
An emergency rescue and cloud computing technology, applied in fire rescue, launch devices, transportation and packaging, etc., can solve the problems of unable to provide trapped people, and unable to rescue in time in complex environments, so as to facilitate follow-up rescue, reduce rescue difficulty, and facilitate Entry and exit effects
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Embodiment 1
[0034] Such as Figure 1-5 As shown, the embodiment of the present invention provides a fire emergency rescue device based on cloud computing, including a drone body 1, and both sides of the bottom of the drone body 1 are fixedly connected with supporting legs 7, and the drone body 1 One end of the bottom of the drone body is provided with a manipulator 26, which can grab rescue equipment. The other end of the bottom of the UAV body 1 is provided with a thermal imager 9. The invisible infrared energy is converted into a visible thermal image. Different colors represent different temperatures of the measured object. Compared with traditional cameras, it can avoid the occlusion of smoke and sundries, and improve the rescue detection effect. The middle part of the drone body 1 is fixedly connected to the connecting rod 2, and the top of one end of the connecting rod 2 is fixed. Connected with the blade shield 3, the blade shield 3 protects the blades of the drone, the bottom of o...
Embodiment 2
[0042] Such as Figure 1-5 As shown, the embodiment of the present invention provides a method for using a cloud computing-based fire emergency rescue device, including the following steps:
[0043] S1: Fill the water tank 10 with cold water through the water filling port, start the whole device, grab the rescue equipment through the manipulator 26 according to the map provided by the cloud server 23, and remotely control the drone body 1 through the smart terminal 22 to go to the fire scene for fire fighting For emergency rescue, the Beidou positioning module 20 locates the position of the drone body 1 in real time, and the thermal imager 9 transmits on-site images to the smart terminal 22, without being disturbed by smoke, and accurately judging the fire situation;
[0044] S2: When going to the fire scene, the radar sensor 21 is responsible for detecting obstacles, and monitors the temperature and humidity near the drone body 1 through the temperature and humidity sensor 19...
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