9 results about "Blind Sample" patented technology

A device (1) for demonstrating a curtain-type vertical blind fabric sample (100), composed of a single light-transmitting section (130) positioned in the center and first and second light-blocking sections (110, 120) respectively positioned on the left and right sides of the light-transmitting section, may comprise: a support (10) provided with one or more attachment means (12) at each of two positions spaced apart from each other by a certain distance; and two light-blocking section fixing means (20) that are provided with insertion slots (24) into which the first and second light-blocking sections (110, 120) of the curtain-type vertical blind fabric sample (100) can be inserted, and that are each rotatably coupled to the attachment means (12) of the support (10). When the insertion slots (24) of the light-blocking section fixing means (20) are positioned perpendicular to the longitudinal direction of the support (10), the curtain-type vertical blind fabric sample (100) may be in an open state. When the light-blocking section fixing means (20) rotate in one direction, the front surface of the first light-blocking section (110) may be exposed in a state in which the curtain-type vertical blind fabric sample (100) is closed. Also, when the light-blocking section fixing means (20) rotate in the other direction, the front surface of the second light-blocking section (120) may be exposed in a state in which the curtain-type vertical blind fabric sample (100) is closed.

According to the grain sampling detection and separation sample delivery box and delivery method, doors are arranged on the two sides of the sampling detection and separation sample delivery box, the sampling detection and separation sample delivery box is installed on the wall of a detection room, an electromagnetic locking mode is adopted, when the door is opened on one side, the other side door is powered on and locked, the suction force is about 120 kg, and the sampling detection and separation sample delivery box cannot be opened. A gravity sensing plate is arranged on the lower side of the box body, an alarm can be given only when an inspection person places a grain sample on the gravity sensing plate in the box body and closes an opening and closing door on the side face, a 12v radar intelligent human body infrared sensing switch is arranged outside the sampling inspection box body, the sensing angle can be 120 degrees, and the sensing distance can be adjusted from 0 m to 8 m. And an inspector can open the box door only after the sample sending and sampling person leaves. After the gravity sensor is triggered, an alarm lamp in the inspection room flickers and gives out warning sound to remind an indoor inspector to sample; in the whole sample sending process, the contact between a sampling person and an inspection person is avoided, the risk of mutual greeting is avoided, and'sampling separation and blind sample detection 'is really realized.

The invention relates to the technical field of blind sample detection, in particular to a remote intelligent measurement standard substance'blind sample 'result forgery prevention method, which comprises the steps of blind sample backup code generation, blind sample transceiving and receiving, laboratory detection, inspection result uploading, platform quantity value comparison, report generation, positioning tampering link and result regeneration after correction link. According to code generation, an SHA-256 Hash algorithm is adopted, standard substance characteristic value Hash, a random number R and a timestamp T are fused, and a 256-bit global unique code is generated, so that the code has the characteristics of unforgeability and non-repeatability from the generation link, the code serves as a root identifier of a blind sample and is only stored in an off-line encryption backup library, and the code is stored in an off-line encryption backup library. And decryption calling is only carried out in a final verification link, and only codes are transmitted and backup operation is not executed in intermediate links such as blind sample receiving and sending, laboratory detection and result uploading, so that the risk that the codes are tampered possibly caused by multi-link backup is avoided, and an anti-counterfeiting basis is established from the source level.

This invention discloses a method and apparatus for identifying modified recycled materials based on machine learning algorithms. The method includes: obtaining recycled plastics and virgin materials of the same type, mixing them in a certain proportion and melt-extruding them to obtain modified virgin material and modified recycled material samples; performing solid-phase microextraction and thermal desorption treatment on the two samples to obtain volatile component data; establishing and optimizing a model based on the data to obtain an identification model, which is then used to predict blind samples, and the category of the blind samples is determined by a result in which more than half of the samples are consistent. This invention proposes a method and apparatus for identifying modified recycled materials based on machine learning algorithms. By obtaining volatile component information data of modified virgin materials and modified recycled materials through extraction and thermal desorption treatment, it can provide a clear basis for identification. By establishing a model and determining the category of blind samples by a prediction result in which more than half of the samples are consistent, the accuracy of identification can be improved, and the problem of difficulty in efficiently and accurately identifying modified recycled materials and modified virgin materials of the same type of plastic can be solved.

The invention discloses a coal quality parameter online modeling detection method based on LIBS, and belongs to the technical field of coal quality analysis and online detection. The implementation method comprises the following steps: 1, acquiring a spectrum of modeling standard sample coal flow by utilizing LIBS (Laser-induced Breakdown Spectroscopy); 2, carrying out abnormal spectrum elimination, channel background light interference elimination and maximum value normalization on the spectrum of the modeling standard sample coal flow according to group times, and extracting a characteristic peak from the spectrum subjected to maximum value normalization according to a corresponding wavelength; 3, inputting the intensity of the characteristic peaks of the elements and the intensity of the characteristic peaks strongly related to the coal quality parameters into the coal quality parameter detection model to output the true values of the coal quality parameters so as to obtain a trained coal quality parameter detection model; 4, inputting the unknown blind sample into the trained coal quality parameter detection model to obtain the coal quality parameter of the unknown blind sample, and updating the total sample size of the modeling standard sample in real time according to the true value of the unknown blind sample; compared with the prior art, the method provided by the invention solves the technical problems of reducing the modeling frequency and simultaneously adapting to the detection of various coal samples based on the LIBS detection environment.

The invention relates to a method for measuring the molecular content of H2O, HDO and D2O in heavy water by using an attenuated total reflection infrared absorption spectrum, which comprises the following steps: assembling a device comprising a Fourier transform infrared spectrometer and an ATR (Attenuated Transform Resonance) component, enabling interference light to pass through a reflecting lens to a crystal, and reflecting to a detector after total reflection; preparing a series of initial concentration heavy water solution standard samples; standing or heating the standard sample to isotope exchange equilibrium, and calculating theoretical concentration; testing the standard sample to obtain the characteristic peak areas of 1640 cm <-1 > (H2O), 1200 cm <-1 > (D2O) and 2500 cm <-1 > (O-D), and making a standard curve; and testing a blind sample and substituting into the curve to obtain the content. According to the method, the problems that the O-H peak of the high-concentration water sample is saturated and the molecular morphology of HDO and D2O cannot be distinguished in the traditional infrared spectroscopy are solved, accurate quantification is realized, and a reliable molecular level detection means is provided for the fields of nuclear industry and the like.

The invention relates to the technical field of fruit spectrum detection, and discloses a method for detecting the organic acid content of bergamot pears based on a near infrared spectrum technology, which comprises the following steps: step 1, sample preparation: selecting bergamot pears with different maturity degrees and different varieties as detection samples, manually removing fruit stems and kernels, and detecting the organic acid content of the bergamot pears; putting the pulp into homogenizing equipment for crushing and homogenizing treatment; step 2, spectrum acquisition: optimizing near infrared spectrum detection parameters; step 3, spectrum pretreatment: adopting a mode of combining multiplicative scatter correction, baseline correction and smoothing treatment; step 4, establishing a model: selecting a part of samples to be detected in the step 1, and determining the organic acid content of the samples by adopting a traditional standard detection method; and 5, model verification: collecting different batches of bergamot pear blind samples from different sources. Through multi-sample preparation, spectral parameter optimization, combined pretreatment and closed-loop modeling verification, efficient and accurate detection of organic acid in bergamot pears is realized, the application range is widened, and the process is simplified.

The invention relates to a method for measuring the molecular content of H2O, HDO and D2O in heavy water by using an attenuated total reflection infrared absorption spectrum, which comprises the following steps: assembling a device comprising a Fourier transform infrared spectrometer and an ATR (Attenuated Transform Resonance) component, enabling interference light to pass through a reflecting lens to a crystal, and reflecting to a detector after total reflection; preparing a series of initial concentration heavy water solution standard samples; standing or heating the standard sample to isotope exchange equilibrium, and calculating theoretical concentration; testing the standard sample to obtain the characteristic peak areas of 1640 cm <-1 > (H2O), 1450 cm <-1 > (HDO) and 1200 cm <-1 > (D2O), and making a standard curve; and testing a blind sample and substituting into the curve to obtain the content. According to the method, the problems that the O-H peak of the high-concentration water sample is saturated and the molecular morphology of HDO and D2O cannot be distinguished in the traditional infrared spectroscopy are solved, accurate quantification is realized, and a reliable molecular level detection means is provided for the fields of nuclear industry and the like.

This invention relates to the field of spectroscopic detection technology, and more particularly to a method for detecting adulterated glycine in glutamine supplements based on tapered fiber-FTIR. The method includes: preparing a chalcogenide glass tapered fiber, coupling it to the external optical path of a Fourier transform infrared spectrometer, and constructing a liquid sample detection platform; preparing a pure glutamine solution, a mixed solution with gradient glycine doping, a low-concentration adulterated sample, and a blind sample; contacting the sample with the tapered fiber; and collecting data at 4000~400 cm⁻¹. ‑1 The infrared absorption spectrum within the specified range was analyzed to identify characteristic spectral markers of glycine adulteration. The spectral data were preprocessed to construct qualitative and quantitative prediction models. Blind sample detection was performed using the quantitative model, and the detection limit and quantitation limit of the method were calculated. The advantages are: utilizing the strong evanescent field effect of tapered optical fibers significantly improves detection sensitivity; and combining this with chemometric methods to construct a stable model enables rapid and accurate detection of glycine adulteration in glutamine.