Ammonia(NH3) is the most abundant alkaline gas in the atmosphere. It is the root cause of the formation of most secondary particulates in PM2.5 and the accelerator of the haze pollution formation in the atmosphere. Therefore the monitoring of the NH3 concentration is very important to the environmental protection. In this paper, the principle of NH3 concentration detection based on Lambert-Beer law has been introduced. A dual-channel modulated ultraviolet photoelectric signal detection circuit for NH3 concentration has been designed and its performance index has been studied. And then a precision detection circuit is designed, which is composed of a trans-impedance amplifier and a lock-in amplifier, with which the output of the UV photoelectric detector can be amplified to a suitable voltage range, and the DC noise of the pre-stage amplifier is effectively removed by the lock-in amplifier. The designed circuit has been tested for the NH3 concentration quantitative measuring in the laboratory, with the exchange calibration method being used to ensure the consistency of the two channels. It can be drawn from the test results that the designed circuit is of high SNR, measuring accuracy and a large dynamic range. The NH3 concentration detection limit of vehicle emissions can reach 2ppm, while the detection precision is ±19ppm.
In order to make the system design meet the requirements of practical ghost imaging, the impact of mechanical vibration on the ghost imaging is analyzed. In ghost imaging system, the light field modulated by a digital micromirror device (DMD) is used to illuminate the target and the transmission or scattering light is detected by a single pixel detector. The target is reconstructed by combining the results of the detector and the intensity distribution of light field, so the modulation matrices of light field play a vital role in ghost imaging. By considering the form of imaging system to vibration and taking the modulation transfer function as an evaluation function, this paper quantitatively analyzes the impacts of various forms of mechanical vibration on the intensity distribution of light field. Combining engineering practice, several solutions are proposed to reduce the impact of vibration on the imaging quality. The results of simulation and experiment indicated that the analysis is correct and usable.
Ghost imaging is an indirect system that allows the imaging of an object without directly seeing the object. The speckle pattern that contains the information about light and objects has increasingly become a popular topic in pseudothermal light ghost imaging. However, existing research still has encountered problems of poor imaging quality and slow sampling speeds. We propose a ghost imaging method based on N-order speckle patterns to recover the object (NSGI). The N-order speckle patterns combine N independent laser speckles individually produced by passing an expanded and collimated He–Ne laser through a digital micromirror device (DMD). The sampling frequency can be improved by controlling the trigger signals of different DMDs. The results of the simulation and experiment have verified that our method can increase sampling speed and reconstruction accuracy. In addition, NSGI can be applied to more applications by designing multiple independent speckles with different properties.
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