Abstract: A sample signal amplification method using a terahertz band graphene absorber is provided. The method comprises: fabricating a graphene absorber through steps of metal evaporation, graphene transfer and the like; preparing sample solutions having different concentrations; dropwise adding a sample solution to the surface of the graphene absorber, and then drying in the air at room temperature; collecting terahertz time-domain signals of all sample points to be detected and reference sample points on the surface of the graphene absorber; and calculating absorption rates of all the sample points to be detected and the reference sample points according to the terahertz time-domain signals, and calculating the intensity change of an absorption peak according to the intensity value corresponding to the highest point of the absorption peak.

Abstract: A robot with the perception capability of livestock and poultry information and a mapping approach based on autonomous navigation are disclosed. The robot includes a four-wheeled vehicle (3), an autonomous navigation system, a motion module and an information acquisition module. The autonomous navigation system includes a LiDAR (10), a RGB-D camera (9), an inertial measurement unit (5), an odometer and a main control module (12). The information acquisition module includes two thermal imagers (6), an environmental detection sensor module (8) and a wireless transmission module (11). The robot is controlled in indoor working environment, and simultaneously information about surrounding environment during movement is obtained with the autonomous navigation system; positioning locations are obtained through data processing and a global map is constructed, which can improve positioning accuracy, reduce dependence on breeders, realize automatic environment detection.

Abstract: A single-chain double-supported fruit cup device for sorting fruits and vegetables includes: a single-chain double-supported fruit cup which is provided on a conveyor track; wherein the single-chain double-supported fruit cup comprises: a fruit cup support frame, a hood, an internal liner, a tray, a pallet and an inverted L-shaped pallet (13); wherein the pallets are symmetrically hinged on the cup support frame along both sides of the conveyor track, the tray is provided on the pallet, and a hood is mounted on the tray for placing a spherical fruit; two inverted L-shaped pallets are hinged on the fruit cup support frame along a front end face and a rear end face of a conveyor track, and the two inverted L-shaped pallets extend towards the pallet (5) on both sides and are cooperatedly connected.

Abstract: A quantitative spectral data analysis and processing method based on deep learning is provided. Pre-processing is not required to be performed on data in the disclosure. Effective information and background information may be learned from raw spectral data, and accuracy of quantitative spectral analysis is improved. In the disclosure, high-dimensional features are extracted from spectral data through three convolutional layers. Convolution kernels of 1×1 are adopted in the second layer, which reduces the dimensionality and the amount of calculation. Further, convolution kernels of three different sizes are adopted in the third convolutional layer, which learns features of different sizes hidden in the spectral data from the raw spectral data. In this disclosure, data is not pre-processed, and the original data may be directly processed. This method has a high generalization ability when a spectral noise distribution of a test set is different from that of a training set.

Abstract: In a grain sampling and imaging device, a grain bin (1) is located under a sampling body (5), a grain feed connector (4) is fixed to a top of the sampling body (5), an observation window (2) is installed on the sampling body (5), a camera (3) is installed above the observation window (2); grains fall to a grain feed connector (4), and then into the sampling body (5), and then are sieved by multiple passages of the sampling body (5), a part of the grains randomly enter the observation window (2) and photographed by the camera (3), and finally all of the grains enter the grain bin (1) through a discharge outlet (5.1) provided at a bottom of the sampling body (5).

Abstract: A workflow-based model optimization method for vibrational spectral analysis is provided. The method includes: initializing and determining the evaluation indicator for the model in vibrational spectral analysis and the optimization object of this model, and carrying out permutation and combination on preprocessing methods and multivariate analysis methods to obtain method combinations; determining hyper-parameters within the various method combinations and corresponding hyper-parameter space combinations; inputting the training set into the various method combinations and optimizing hyper-parameters to determine optimal hyper-parameters of the method combinations; using the training set for training to obtain model parameters so as to acquire various combined models; inputting the test set into the various combined models, calculating the evaluation indicator value for the various combined models, and selecting the optimal model.

Abstract: A single-chain double-supported fruit cup device for sorting fruits and vegetables includes: a single-chain double-supported fruit cup which is provided on a conveyor track; wherein the single-chain double-supported fruit cup comprises: a fruit cup support frame, a hood, an internal liner, a tray, a pallet and an inverted L-shaped pallet (13); wherein the pallets are symmetrically hinged on the cup support frame along both sides of the conveyor track, the tray is provided on the pallet, and a hood is mounted on the tray for placing a spherical fruit; two inverted L-shaped pallets are hinged on the fruit cup support frame along a front end face and a rear end face of a conveyor track, and the two inverted L-shaped pallets extend towards the pallet (5) on both sides and are cooperatedly connected.

Abstract: A terahertz endoscope suitable for intestinal tract lesion inspection and an inspection method are provided. The terahertz endoscope includes a combined tube body inserted into an intestinal tract, a terahertz signal enhancement module, a terahertz inspection module, and a real-time imaging module. The combined tube body mainly includes a sleeve tube (6), a sleeve head (7) and a hemispherical glass cover (8). The terahertz signal enhancement module mainly includes a tunable laser (2) and an optical fiber (9) installed in the sleeve tube (6). The terahertz inspection module mainly includes a terahertz wave detector (4), a terahertz wave transmitter (5), as well as a first stainless steel metal wire (12) and a second stainless steel metal wire (13) installed in the combined tube body.

Abstract: A terahertz endoscope suitable for intestinal tract lesion inspection and an inspection method are provided. The terahertz endoscope includes a combined tube body inserted into an intestinal tract, a terahertz signal enhancement module, a terahertz inspection module, and a real-time imaging module. The combined tube body mainly includes a sleeve tube (6), a sleeve head (7) and a hemispherical glass cover (8). The terahertz signal enhancement module mainly includes a tunable laser (2) and an optical fiber (9) installed in the sleeve tube (6). The terahertz inspection module mainly includes a terahertz wave detector (4), a terahertz wave transmitter (5), as well as a first stainless steel metal wire (12) and a second stainless steel metal wire (13) installed in the combined tube body.

Abstract: Implementations herein relates to a biological sample signal amplification method using terahertz metamaterials and gold nanoparticles. A plurality of biological sample solutions and a plurality of gold nanoparticles-labeled avidin solutions are dropped on surfaces of metamaterials and dried at room temperature. Terahertz time-domain signals of sample points and reference sample points on the surfaces of metamaterials are acquired, transmission or reflectance of the sample points and the reference sample points are calculated using terahertz time-domain signals, and the frequency shift of transmission or reflection peaks are calculated according to the lowest point of transmission or reflectance. The effect of local electric field enhancement of metamaterials is used for sample signal amplification, gold nanoparticles are used to change a distribution of electric fields, and a sample signal is further enhanced by gold nanoparticles modification.

Abstract: Implementations herein relates to a biological sample signal amplification method using terahertz metamaterials and gold nanoparticles. A plurality of biological sample solutions and a plurality of gold nanoparticles-labeled avidin solutions are dropped on surfaces of metamaterials and dried at room temperature. Terahertz time-domain signals of sample points and reference sample points on the surfaces of metamaterials are acquired, transmission or reflectance of the sample points and the reference sample points are calculated using terahertz time-domain signals, and the frequency shift of transmission or reflection peaks are calculated according to the lowest point of transmission or reflectance. The effect of local electric field enhancement of metamaterials is used for sample signal amplification, gold nanoparticles are used to change a distribution of electric fields, and a sample signal is further enhanced by gold nanoparticles modification.