Unmanned aerial vehicle cruising capacity monitoring system and method

An unmanned aerial vehicle and monitoring system technology, applied in the field of unmanned aerial vehicle endurance capability monitoring system, can solve the problems of inaccuracy, affecting the battery storage level, etc., to achieve the effect of accurate prediction, easy understanding and operation, and improved utilization efficiency

Inactive Publication Date: 2015-11-25
杨珊珊
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If you do not consider the energy consumption of UAVs, it is very inaccurate to do endurance analysis.
[0009] In addition, since the ambient temperature can greatly

Method used

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  • Unmanned aerial vehicle cruising capacity monitoring system and method
  • Unmanned aerial vehicle cruising capacity monitoring system and method
  • Unmanned aerial vehicle cruising capacity monitoring system and method

Examples

Experimental program
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Effect test

Embodiment 1

[0053] Embodiment 1. An unmanned aerial vehicle endurance monitoring system.

[0054] As mentioned in the background art above, once the unmanned aerial vehicle is in the air, if the power is insufficient, it will be very dangerous and may directly lead to a crash. Therefore, it is very important to accurately judge the battery life, but the existing battery life judgment method is too simple, and only gives warning information based on the analysis of the battery remaining capacity. However, in the actual flight process, the energy consumption of UAVs is not constant. It is neither objective nor intuitive to rely solely on batteries to make judgments.

[0055] figure 1 It is a schematic structural diagram of the aircraft endurance monitoring system of the unmanned aerial vehicle endurance monitoring system in Embodiment 1 of the present invention, and the embodiment of the invention will combine figure 1 Be specific.

[0056] like figure 1 As shown, the embodiment of the ...

Embodiment 2

[0107] Embodiment 2. An unmanned aerial vehicle endurance monitoring system.

[0108] figure 2 It is a schematic structural diagram of the unmanned aerial vehicle endurance monitoring system of Embodiment 2 of the present invention, and the embodiment of the present invention will combine figure 2 Be specific.

[0109] like figure 2 As shown, the embodiment of the present invention provides a kind of unmanned aerial vehicle endurance monitoring system, comprises: unmanned aerial vehicle 201 and flight console 202, and described unmanned aerial vehicle further comprises flight control panel 203, inertial sensor 204, first communication Interface 205, temperature sensor 206, battery 207, steering gear 208, motor 209 and rotor 210, described flight console 202 further comprises second communication interface 211, central processing unit 212, battery life analysis unit 213 and display device 214, wherein , the flight control board 203 is connected to the central processing uni...

Embodiment 3

[0144] Embodiment 3. A method for monitoring the endurance of an unmanned aerial vehicle.

[0145] image 3 It is the flow chart of the method for monitoring the unmanned aerial vehicle endurance capacity of the third embodiment of the present invention, and the embodiment of the present invention will combine image 3 Be specific.

[0146] like image 3 As shown, the embodiment of the present invention provides a method for monitoring the battery life of an unmanned aerial vehicle, and the unmanned aerial vehicle is powered by a battery, comprising the following steps:

[0147] Step S301: collecting battery information;

[0148] Step S302: collecting energy consumption information of the UAV;

[0149] Step S303: Obtain the battery life of the UAV according to the battery information and the energy consumption information.

[0150] Preferably in the embodiment of the present invention, the step of pre-defining the energy consumption level is also included before the colle...

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Abstract

The invention discloses an unmanned aerial vehicle cruising capacity monitoring system and method, and belongs to the field of unmanned aerial vehicles. The system comprises an unmanned aerial vehicle and a flight control station, a signal processing module and a data communication module. The unmanned aerial vehicle further comprises a signal input module, a flight control panel and a battery. The signal input module acquires energy consumption information of the unmanned aerial vehicle. The flight control panel acquires battery information and controls flight of the unmanned aerial vehicle. The signal processing module is suitable for calculating cruising capacity of the unmanned aerial vehicle according to the energy consumption information and the battery information. Energy consumption of the unmanned aerial vehicle is analyzed to accurately estimate cruising capacity of the unmanned aerial vehicle, and cruising capacity of the unmanned aerial vehicle is marked by cruising time and/or cruising distance. Meanwhile, influence of environment temperature on battery energy efficiency is also considered so that accuracy of prediction of cruising capacity of the unmanned aerial vehicle is further enhanced.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a system and method for monitoring the battery life of an unmanned aerial vehicle. Background technique [0002] With the popularization of small and micro unmanned aerial vehicles for aerial photography and their entry into the consumer market, some needs that were previously used by professionals and ignored began to emerge. The unmanned aerial vehicle platform is equipped with a large number of electronic devices, such as autopilot systems, steering gears, and gimbals. In order to ensure the safe and stable operation of the unmanned aerial vehicle platform, these electronic devices require a stable and effective power supply. The electrical power of the UAV platform is provided by various high-energy batteries, including: solar energy, batteries and fuel cells. Among them, the battery power supply mode represented by lithium battery is the most widely used on...

Claims

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Application Information

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IPC IPC(8): G01R31/36G05D1/10G01C21/16
Inventor 杨珊珊
Owner 杨珊珊
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