Moisture meter

Abstract

The invention discloses a moisture meter. The moisture meter is characterized in that an incident optical fiber is used for guiding a light source to irradiate a sample to be measured through a focusing lens; a receiving optical fiber is used for receiving light reflected by the sample to be measured and ensuring the incidence of the light onto a collimating lens; the collimating lens is used for projecting incident light onto an optical filter array in parallel; the optical filter array comprises optical filters with different wavelengths in a matrix; a focusing lens array and an array detector respectively comprise one-to-one correspondent focusing lenses and detector units; the optical filter array is used for dividing the incident light into a plurality of light beams with different wavelengths; the focusing lens array is used for respectively focusing and projecting the light beams onto the detectors; the array detector is used for obtaining a plurality of strength values; a mainframe is used for collecting the plurality of strength values generated by the array detector and calculating to obtain the moisture content of the sample to be measured. The measurement error due to absorption peak shift caused by the change of environmental factors, such as temperatures, and sample texture difference can be greatly reduced in a multi-wavelength matrix manner.

Description

technical field [0001] The invention relates to a moisture measuring instrument, in particular to a multi-wavelength near-infrared moisture measuring instrument. Background technique [0002] Moisture is an important indicator for evaluating the quality of agricultural products, food and pharmaceuticals. Usually, a moisture analyzer can be used to measure the moisture content of samples. [0003] The more commonly used moisture testing method is near-infrared spectroscopy. The sample is irradiated with light, and then the reflected light is collected. The moisture content of the sample is obtained according to the difference between the incident light and the reflected light and the preset algorithm. [0004] It is found through experiments that the near-infrared absorption peak of the sample moisture drifts with changes in environmental factors such as temperature and pressure, while the traditional measurement wavelength is fixed. When environmental factors such as tempera...

AI Technical Summary

Problems solved by technology

[0004] It is found through experiments that the near-infrared absorption peak of the sample moisture drifts with changes in environmental factors such as temperature and pressure, while the traditional measurement wavelength is fixed. When environmental factors such as temperature and pressure change, the measured value will Deviating from the moisture absorption peak, affecting measurement accuracy

Furthermore, the measurement accuracy is also affected by the texture of the sample. When the texture of the sample changes, the measurement result will also have a large error, which will affect the measurement accuracy.

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