Abstract:Consumer goods are the necessities in people''s daily life and work. The quality of consumer goods is related to each person''s health and safety. At the same time, it is also the important focus of government regulator, factory and enterprise attention. The research status and applications of near-infrared technology in the fields of agricultural products, pharmaceuticals and textiles etc are summarized. The progress and current status of near-infrared spectroscopic instruments are presented in brief. Finally, according to the demands of practical detection and the development status of near-infrared technology, several prospects are given to the research and application of near-infrared spectroscopy. Many research results show that as a fast, high efficient and environmental friendly detection technology, near-infrared spectroscopy would be used further widely with the deepening of related research.

Abstract:In light of the in-situ spectral measurement data and the synchronous hydrological sediment parameters from the survey in 2017 winter, the difference of spectral data obtained by two kinds of optical instruments: an ASD spectrometer and a Hypersas sea surface spectrometer in the high turbidity water of the Yangtze Estuary is discussed. The results show that the spectral values measured by the Hypersas spectrometer are higher than those measured by the ASD spectrometer on the whole. For the integration time of 34 ms, the difference between the two instruments is lowest. The average relative difference values in the typical bands of 412 nm, 443 nm, 490 nm, 510 nm, 531 nm, 555 nm, 670 nm and 750 nm are 22.70%, 18.73%, 15.01%, 14.07%, 13.05%, 11.93%, 9.58% and 9.85% respectively. By analyzing the correlation and fitting accuracy of the two sets of data and the suspended sediment concentration data measured, it is found that in the local mode, the accuracy of suspended sediment concentration modeled by the ASD spectrometer is (R2=0.78), which is higher than that modeled by the Hypersas spectrometer (R2=0.67).

Abstract:With the wide application of infrared focal plane arrays (IRFPA), the requirements of detector assemblies in volume and fast cool-down etc are becoming higher and higher. To solve this problem, the influence factors on the fast cool-down of IRFPA detectors are analyzed on the basis of the design of detector chip, Dewar structure and fast cool-down cooler. The conclusions which are helpful to the improvement of fast cool-down of IRFPA detectors are drawn.

Abstract:Because of the unique band structure and excellent properties, InAs/GaSb type-II superlattice material is regarded as the preference for the third-generation infrared detectors. In recent years, the material has been studied extensively and rapid advances are achieved. Molecular Beam Epitaxy (MBE) which can precisely control material interface and period thickness is the main means for superlattice material growth. Mid-wavelength and long-wavelength superlattice materials are grown on GaSb substrates by MBE. Their properties are characterized fully and are verified by the fabricated focal plane array devices eventually.

Abstract:The static tensile test is carried out for the composite materials with delamination defects. The surface temperature variation of specimen is monitored by infrared thermography. The temperature variation of the specimen in the whole process, the damage evolution process and the relationship between heat dissipation and damage process are studied. The results show that the surface temperature of the specimen first decreases linearly and then increases continuously. When the temperature drops to the lowest point, the corresponding stress value is the yield limit of the specimen. The heat source point first occurs in the composite with delamination defects. As time goes on, the heat source area is becoming wider and wider. The thermal dissipation factor of the composite with delamination defects is 55%. The infrared thermography technology could monitor the damage of composite materials with defects. It is beneficial to the research on the engineering application of composite materials.

Abstract:In the aerial photography using linear array detectors, the variation of aircraft attitude may affect imaging and hence result in image blurring. According to the coordinate transformation formula of aviation projection, the Monte Carlo algorithm is used to analyze the influences of the factors such as exposure time, stabilized platform position residual compensation and angular velocity residual compensation on the imaging quality of linear array cameras. The results show that high performance airborne linear array cameras should be equipped with high performance stabilized platforms. Meanwhile, the linear array detectors with high sensitivity and short exposure time are of significance to the improvement of imaging quality.

Abstract:Toluene is the major volatile contaminant and secondary organic aerosol precursor in atmosphere. A home-made smog chamber is used to study the OH-initiated photooxidation process of toluene in the absence and presence of ammonia. The molecular functional groups of the photooxidation products of toluene are measured by a Fourier transform attenuated total reflection infrared spectrometer. The chemical components of the products are analyzed qualitatively. The experimental results show that there are functional groups such as benzene ring, O-H, C=O and C-O in the photooxidation products of toluene both with and without ammonia and high concentration organic compounds such as cresol, aldehydes and carboxylic acids are contained in the groups. However, in the presence of ammonia, C=N, C-N, N-H and other functional groups corresponding to the imidazole nitrogen-contained organic compounds are also contained in the photooxidation products of toluene. These results provide new experimental basis for the study of the photooxidation mechanism of toluene.

Abstract:In power systems, to use computer vision and image processing technology to detect zero-value insulators is very important for the safe operation of power systems. An automatic zero-value insulator detection algorithm based on infrared images is proposed. Firstly, an input image is preprocessed and the insulator is positioned precisely by combining the GLOH descriptors with machine learning. Then, the boundary points in the image are extracted by using a graphic method. The initial contour searched is used as the initial value. A GVF Snake model is used to check the precise contour of the insulator string so as to separate the insulators. Finally, automatic zero-value insulator detection is realized by analyzing the statistical histogram. The experimental results show that the proposed algorithm can detect the zero value insulators effectively.