CCD adaptive integration time and frequency spectrum visualization system

Abstract

A CCD adaptive integration time and frequency spectrum visualization system comprises a frequency spectrum distribution data acquisition part, a parameter estimation part, a file management part and afrequency spectrum drawing part, and by using WIFI and a TCP protocol, the system interacts with a frequency spectrum distribution data acquisition device, to acquire, process, store and display frequency spectrum distribution data. Under the condition that the light source intensity is unknown, a self-adaptive integral time algorithm for controlling CCD exposure time is given, so that a CCD hassufficient exposure time and is not in a saturated state. The APP adopts a double-buffer mechanism to solve the phenomena of slow loading and jamming of the spectrogram in the visualization process.According to the adaptive integral time and the double-buffer mechanism provided by the invention, the detected frequency spectrum data is more reasonable, and the user experience is remarkably improved.

Description

technical field [0001] The invention relates to a spectrum detection system capable of real-time communication with a server, self-adaptive setting of CCD integration time, data transmission processing and display, and belongs to the technical field of spectrum detection. [0002] technical background [0003] With the rapid development of modern electronic technology and computer technology, spectrum analysis technology has been developed rapidly. Compared with conventional detection methods, its advantages are sensitive, rapid, efficient and accurate. At present, spectrum analysis technology is widely used in metallurgy, geology, petrochemical, medical and health, environmental protection and other departments. It is also an indispensable analysis method for military reconnaissance, space exploration, resource and hydrological survey. [0004] A complete spectrum analysis system is mainly composed of two parts, one is the device for collecting spectrum distribution data, an...

AI Technical Summary

Problems solved by technology

The spectrum detector has the following defects: one is that the exposure time of the CCD photosensitive element cannot be automatically set, so if the exposure time is unreasonable, there will be a large error in the obtained data; the other is that the drawing of the spectrum diagram cannot be realized. It is not conducive to the visual analysis of data; the third is that it fails to solve the delay and freeze linearity that may occur during the display of data and spectrograms, and the human-computer interaction experience is poor

This design provides an adaptive control method that obtains the CCD light integration time through linear estimation. The biggest shortcoming of this method is: the output of the CCD is not completely linear with the integration time, and when the integration time is insufficient or oversaturated , the relative error from the ideal linear value is very large

If the linear method is used in the nonlinear range of the CCD photosensitive element, it will bring large errors to the measurement of the spectral distribution data, resulting in unreliable subsequent parameter estimation.

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