无人机机箱温度异变信号检测系统设计

Unmanned Aerial Vehicle Chassis Temperature Variation Signal Detection System Design

摘要:

针对传统的无人机温度检测系统对于无人机机箱温度异变信号的检测实时性和准确较低的问题,设计并实现了基于DS18B20温度传感器关联模型的无人机机箱温度异变信号检测系统,根据温度在不同位置的测量值不同,建立不同位置的关联模型,利用温度传感器之间的关联系数λ,判断不同位置的温度信号是否正常,并对温度异变信号发出警报；硬件设计主要包括温度传感器检测电路、数据处理模块、声光报警模块等；软件设计主要包括工作流程、DS18B20实时温度传感器关联性的程序实现等；最后对无人机100次的飞行提取机箱检测温度进行试验实验,通过温度传感器DS18B20对无人机机箱实际的温度数据进行检测,结果表明:机箱内部模块周围温度变化与散热风扇周围的温度平均温度变化相差在0.5℃以内,在误差允许范围内,相关性很大；另外,与传统系统对比可知,该系统的检测准确率高达95%以上,且稳定性强,能为无人机的安全飞行提供了可靠保障。

Abstract:

In view of the traditional UAV temperature detection system for unmanned aerial vehicle (UAV) chassis temperature variation signal detecting low real-time and accurate, was designed and implemented based on DS18B20 temperature sensor correlation model of unmanned aerial vehicle (UAV) chassis temperature variation signal detection system, according to the measurements of the temperature on different position is different, different location of the associated model is set up, using the correlation coefficient between the temperature sensor, judge the temperature of different position signal is normal, and the temperature variation signal sounded the alarm. The hardware design mainly includes the temperature sensor detection circuit, data processing module, sound and light alarm module, etc.; Software design mainly includes the work process, the real-time temperature sensor DS18B20 correlation program implementation, etc. Finally extracted 100 flights for unmanned aerial vehicle chassis testing temperature testing experiment, through the temperature sensor DS18B20 temperature data of unmanned aerial vehicle (UAV) case actual testing, the results show that chassis internal temperature around the temperature change and a cooling fan around the module differs within 0.5 ℃, the average temperature changes in the range of allowable error, correlation is very large. In addition, compared with the traditional system, in this paper, the detection accuracy of the system is as high as 95% above, and the stability is strong, providing a credible guarantee for the safety of the unmanned aerial vehicle (UAV) flight.