The infrared remote sensing monitoring technology based on the absorption characteristics of gas molecules can detect gas components at long distance, real-time and multi-gas simultaneously.In this paper,we present the method of ethylene gas identification based on infrared absorption characteristics and carry out the field verification experiment of ethylene gas by infrared spectrometer. The effective experimental data are processed and analyzed by differential method and correlation coefficient method. The results indicate that the method can effectively identify the gas with high accuracy, and the research results provide a new technical approach for the effectively identification of gas.
Based on the characteristics of infrared imaging, the algorithm of pseudo-color processing for infrared images is studied on the basis of independent research and development of infrared imaging system. A real-time pseudo-color processing algorithm based on FPGA is designed, software module by Verilog and the hardware platform are also introduced. In this method, three kinds of RGB color components are obtained by three kinds of independent transform, finally, the color images are synthesized. The algorithm has been applied to our self-designed infrared imaging system, results show that it is easy to implement and image enhancement effect is good.
This paper, we introduced the system structure and operation principle of the device, and discussed our solutions for image data acquisition and storage, operating states and modes control and power management in detail. Besides, we proposed a algorithm of pseudo color for thermal image and applied it to the image processing module of the device. The thermal images can be real time displayed in a 1.8 inches TFT-LCD. The device has a compacted structure and can be held easily by one hand. It also has a good imaging performance with low power consumption, thermal sensitivity is less than 150mK. At last, we introduced one of its applications for fault diagnosis in electronic circuits, the test shows that: it’s a good solution for fast fault detection.