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Optimization of the Dust Sensor in the Mars MetNet Mission.Extension to in-situ CO_2 concentration and surface temperature measurements by infrared multispectral sensing

机译:通过红外线光谱传感优化MARS METNET Missib.Extension粉尘传感器的灰尘传感器。

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Martian atmosphere contains two main mechanisms leading the heat transfer process: CO_2 and suspended dust. The flight model (FM) of the current Dust Sensor (DS) of the Mars MetNet Mission has already been fabricated providing only with the ability for measuring the particle size distribution. The optimized DS proposed in this work includes two sub-instruments more for measuring both, CO_2 concentration and ground temperature. This DS will allow correlate the particle size distribution of the airborne dust, the CO_2 concentration and the ground temperature, in a specific location on the Martian surface. All of these parameters will be measured as an in-situ parameter, giving very valuable information about the Martian Planetary Boundary Layer (PBL). The scope of the Mars MetNet Mission is to deploy, in successive flights, several tens of mini atmospheric stations on the Martian surface. Infrared Lab in University Carlos Ⅲ (LIR-UC3M) is in charge of the design and development of the DS, a micro-sensor (mass <100 g and mean power <1W) which scope is the characterization of airborne dust and other parameters of interest in the heat transfer process. The DS detection principle is of MIE scattering wavelength dependence when particle size is similar to that., so the sensor is provided with spectral resolution,. The optimized DS incorporates angular dependence, so the data retrieval algorithm takes both spectral and angular information making the algorithm most robust. The incorporation of new parameters such as CO_2 and ground temperature is possible thanks to the addition of new sensor elements, properly spectrally tuned. As in the previous DS each parameter is also measured within the MWIR range and the spectral resolution is provided by a interference filter, specifically designed for.
机译:火星大气层包含两个主要机制,导致传热过程:CO_2和悬挂灰尘。 MARS Metnet Missib的当前灰尘传感器(DS)的飞行模型(FM)已经制造得仅提供测量粒度分布的能力。本工作中提出的优化DS包括更多用于测量CO_2浓度和地温的两个子仪器。该DS将允许将空气粉尘,CO_2浓度和地温度的粒度分布相关,在火星表面的特定位置。所有这些参数将作为原位参数测量,给出有关火星行星边界层(PBL)的非常有价值的信息。 MARS Metnet Mission的范围是在连续的航班中部署,在火星曲面上的几十米米迷你大气站。大学CarlosⅢ(Lir-UC3M)的红外实验室负责DS的设计和开发,微传感器(质量<100g和平均功率<1w),其范围是空气灰尘和其他参数的表征对传热过程的兴趣。 DS检测原理是当粒度类似于该时的MIE散射波长依赖性。因此,传感器具有光谱分辨率。优化的DS包含角度依赖性,因此数据检索算法采用频谱和角度信息,使得算法最强大。由于添加了新的传感器元件,适当地光谱调谐,可以掺入CO_2和地温的新参数。如在先前的DS中,每个参数也在MWIR范围内测量,并且光谱分辨率由专门设计的干扰滤波器提供。

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