基于四旋翼的有害气体检测系统设计
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摘要
提出一种基于四旋翼的有害气体检测方法,使飞行控制与有害气体检测相结合,解决了传统有害气体检测手段存在的机动性太差、检测区域有限、不能对整个空间立体检测等问题。通过遥控,四旋翼飞到有害气体区域,其MQ135传感器检测到有害气体后将一个模拟电压信号输入STM32处理器。STM32处理器把这个模拟电压信号转换成数字信号,并通过nRF24L01无线模块发送到手持终端。手持终端收到该数字信号后按照公式计算出有害气体浓度值,并把该浓度值实时显示出来。
This design proposes a method of hazardous gas detection based on the four-rotor aircraft,which combines the flight control and harmful gas detection.So this design is a good solution to the shortcomings of traditional harmful gas detection methods.Using the remote control let the four-rotor aircraft to fly into the harmful gas area.MQ135 Sensor on the four-rotor aircraft outputs an analog voltage signal to the STM32 processor after detecting hazardous gas.The STM32 processor converts the analog voltage signal into digital signal and transmits it to the handheld terminal through the nRF24L01 wireless module.After receiving the digital signal,handheld terminal calculates the concentration of harmful gas in accordance with the formula and the concentration value is displayed in real time.
This design proposes a method of hazardous gas detection based on the four-rotor aircraft,which combines the flight control and harmful gas detection.So this design is a good solution to the shortcomings of traditional harmful gas detection methods.Using the remote control let the four-rotor aircraft to fly into the harmful gas area.MQ135 Sensor on the four-rotor aircraft outputs an analog voltage signal to the STM32 processor after detecting hazardous gas.The STM32 processor converts the analog voltage signal into digital signal and transmits it to the handheld terminal through the nRF24L01 wireless module.After receiving the digital signal,handheld terminal calculates the concentration of harmful gas in accordance with the formula and the concentration value is displayed in real time.
引文
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[5]胡庆.基于STM32单片机的无人机飞行控制系统设计[D].南京:南京航空航天大学,2012.
[6]甄华.基于ARM嵌入式系统的C语言编程分析[J].哈尔滨职业技术学院学报,2015(1):148-149.
[7]李俊,李运堂.四旋翼飞行器的动力学建模及PID控制[J].辽宁工程技术大学学报(自然科学版),2012,31(1):114-117.
[2]张垚,鲜斌,殷强,等.基于ARM处理器的四旋翼无人机自主控制系统研究[J].中国科学技术大学学报,2012,42(9):753-760.
[3]唐先登,杨经国,李贺威,等.基于nRF24L01的多点无线环境监测系统的设计[J].电子设计工程,2015,23(5):81-83,90.
[4]骆熙.有毒有害气体检测设备传感器技术[J].电子世界,2014(16):493-494.
[5]胡庆.基于STM32单片机的无人机飞行控制系统设计[D].南京:南京航空航天大学,2012.
[6]甄华.基于ARM嵌入式系统的C语言编程分析[J].哈尔滨职业技术学院学报,2015(1):148-149.
[7]李俊,李运堂.四旋翼飞行器的动力学建模及PID控制[J].辽宁工程技术大学学报(自然科学版),2012,31(1):114-117.