2results about How to "High detection precision" patented technology

This utility model discloses a combined temperature, humidity, and pressure detection device, including a main unit, an outer bracket, and a detection component. The outer bracket is fixedly installed on top of the main unit, and the detection component is movably installed on the inner side of the outer bracket. The inner detection component is installed and used through the outer bracket, and then used for multi-functional detection. The detection component includes a mounting plate, a temperature sensor, a humidity sensor, an inner bracket, a telescopic cylinder, a pressure plate, and a pressure sensor. Multiple sets of mounting plates are movably installed on the inner side of the outer bracket. This utility model uses multiple sets of temperature and humidity detectors that can be evenly distributed on the sides of the server rack, thus achieving good detection results for temperature and humidity in different directions and positions of the internally placed equipment. The detection precision is high, and the receiver serves as a data receiver, which can be connected to a controller to control the telescopic cylinder to lower the pressure plate for pressure detection.

This invention relates to a multivariate near-infrared quantitative model based on a one-measure-multiple-evaluation method, its construction method, and its application. The construction method includes the following steps: (1) preparing a representative sample set; (2) using chlorogenic acid as an internal reference, obtaining the content of target polyphenolic compounds in each sample in the representative sample set of step (1) using a one-measure-multiple-evaluation method based on liquid chromatography, and collecting near-infrared diffuse reflectance spectral data of each sample in the representative sample set of step (1); (3) correlating the content of target polyphenolic compounds in each sample in the representative sample set of step (2) with the near-infrared diffuse reflectance spectral data, establishing a regression model and solving it, determining the optimal number of principal components, completing the model construction, and performing model validation. The multivariate near-infrared quantitative model provided by this invention can realize the simultaneous and rapid detection of multiple target polyphenolic compounds in tobacco or its products, adapting to the needs of precise laboratory analysis and large-scale industrial screening.