Honeycomb rescue type unmanned aerial vehicle cloud computing platform

Abstract

The invention discloses a honeycomb rescue type unmanned aerial vehicle cloud computing platform. The platform comprises an unmanned aerial vehicle control unit, a peripheral unit and a cloud computing unit, the unmanned aerial vehicle control unit comprises an unmanned aerial vehicle microcontroller, a motor, a propeller, an unmanned aerial vehicle body, an image acquisition module, a pyroelectric sensor, a high-precision locator, an unmanned aerial vehicle extension board, a flight control image transmission module, a wireless transceiver and an audible-visual alarm, the unmanned aerial vehicle peripheral unit comprises a firefighting torch, an emergency escape hammer, a firefighting self-rescue respirator, an unmanned aerial vehicle body, a peripheral foldable body controller and an air filter etc., and the unmanned aerial vehicle cloud computing unit comprises a wireless transceiver, a cloud computing firefighting central control command platform, a data processing module, a data analysis module, a scene display module and a remote command control module. According to the platform, unmanned aerial vehicles are commanded in a remote manner through a computer cloud computing network, fire operation tasks can be rapidly responded, casualties can be reduced, the system robustness is high, and the application prospect is wide.

Description

technical field [0001] The invention relates to an intelligent control system for an unmanned aerial vehicle, which belongs to the field of electronic information science and technology, in particular to a honeycomb rescue unmanned aerial vehicle cloud computing platform. Background technique [0002] With the development of my country's urbanization process, the traditional fire fighting methods can no longer meet the actual needs, so the fire fighting drones came into being. When a fire occurs, the use of fire-fighting drones for disaster detection and investigation can not only ignore the terrain and environment, but also be able to work flexibly, especially in some urgent, difficult and dangerous fire scenes where firefighters cannot directly carry out the work. , The fire-fighting drone can quickly start operations. The investigation of fire-fighting drones can effectively improve the efficiency of disaster relief, and find out the main fire source of the fire accident...

AI Technical Summary

Problems solved by technology

However, UAVs with high cost and high power consumption are expensive and have poor system stability. It is difficult to meet the work goals of high robustness and long endurance. There are the following disadvantages

[0004] 1. It is bulky and expensive, and cannot meet the requirements of long flight time

Existing rescue drones are not only expensive but also bulky. Due to the limitation of volume and weight, the flight power requirements are relatively large, and they cannot meet the long-endurance flight missions in fire scenes.

[0005] 2. Survival equipment is concealed and cannot be transported to the victims in time

Considering the beauty of the floor design, the existing fire masks and other equipment are almost all placed in concealed locations and integrated with the building. Under emergency fire conditions, it is almost impossible for trapped people to find fire masks and other equipment immediately

[0006] 3. The design of the floor evacuation map is complicated, and it is difficult to find the floor evacuation exit immediately in a crisis situation

Existing floor evacuation Figure 1 Generally, the prefabricated floor plan is posted on the wall. It is difficult for the trapped people to find the evacuation exit immediately in the panic scene or the smoke and dust in the fire scene, which delays the rescue time.

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