9results about How to "Accurate mass" patented technology

The application discloses a kind of for the method, device, equipment and medium of tab abnormality detection in battery cell production process, comprising: the tab area image collected in battery cell production process is segmented to generate tab mask;Based on the tab mask extraction multi-scale pixel-level feature vector, and the multi-scale pixel-level feature vector is input into unsupervised probability GMM model to identify pixel-level abnormal point;The pixel-level abnormal point is analyzed to obtain candidate abnormal area, and the parameter index of the candidate abnormal area is obtained;Determine whether the parameter index meets the set tab abnormality judgment rule, if meet, it is judged as tab abnormality, and tab abnormality result is output.Therefore, the application can be widely applied to the detection of tab folding, crease, fracture, misplacement and other abnormalities on battery cell production line.

The invention relates to the technical field of thermoelectric Internet of Things safety, in particular to a heat meter verification data intelligent analysis system based on heat supply multi-parameter simulation, which comprises a multi-parameter working condition simulation module, a data acquisition and communication module, a verified household heat meter, a data processing and storage module, an intelligent analysis core module and a calibration optimization suggestion module, the multi-parameter working condition simulation module accurately reproduces water quality, temperature, flow velocity and battery electric quantity coupling working conditions; the data acquisition and communication module realizes unified acquisition of heat meter data of multiple brands; the intelligent analysis core module quantifies working condition coupling influence, sorts heat table performance and predicts the service life of the battery through a multivariate regression + SHAP hybrid model, an entropy weight-TOPSIS method and an ARIMA model; the calibration optimization suggestion module generates a dynamic calibration coefficient. According to the invention, all-condition verification, intelligent analysis and accurate optimization of the heat meter are realized, data support is provided for purchase, calibration, operation and maintenance of the heat meter of a heat supply enterprise, and the metering accuracy and the energy utilization efficiency are improved.

The utility model provides an automatic tea picking machine which comprises a picking action mechanism, the picking action mechanism comprises a shell and a bionic mouth clamp arranged on the front side of the shell, the bionic mouth clamp is composed of an upper clamp body and a lower clamp body which are vertically symmetrical, the upper clamp body and the lower clamp body are rotationally connected with the front side of the shell respectively, and an upper blade and a lower blade are arranged on the front sides of the opposite sides of the upper clamp body and the lower clamp body respectively. When the bionic mouth clamp is closed, the upper blade and the lower blade perform cutting action; the picking driving mechanism is arranged in the shell and used for driving the bionic mouth clamp to be closed or opened; the collecting mechanism comprises a backpack, a suction mechanism is arranged in the backpack, the backpack is communicated with the interior of the shell through a pipeline, and when the bionic mouth clamp is closed, a cavity formed in the bionic mouth clamp is communicated with the interior of the shell. The tea leaf picking machine is light and easy to operate, the backpack and the suction mechanism can automatically collect tea leaves, physical labor is relieved, the duckbilled scissors complete the pruning and temporary storage process, the size of the duckbilled scissors is suitable for the tea leaves with the average size, and the accurate picking precision and quality are guaranteed.

The application provides a tunnel lining concrete evaluation method and system, and belongs to the technical field of tunnel lining quality detection. The method comprises the following steps: a data acquisition and matrix construction step: obtaining full polarization data and establishing a complex domain scattering matrix of each sampling point; a spatial phase locking step: constructing a spatial phase locking loop, tracking the spatial phase of the steel bar in real time, determining the locking state according to the phase difference and determining the steel bar high-weight prediction area; a polarization feature calculation step: in the steel bar high-weight prediction area, performing eigenvalue decomposition on the local covariance matrix, calculating the polarization entropy and the average scattering angle; an adaptive projection stripping step: generating an adaptive gain factor and adjusting the projection strength of the projection matrix, performing projection transformation on the original polarization vector to obtain a residual signal; and an evaluation step: reconstructing a defect signal based on the residual signal to evaluate the quality of the tunnel concrete lining. The scheme can improve the accuracy of tunnel concrete lining quality evaluation.

The utility model relates to test device technical field, and disclose a kind of testing device for rubber sealing element production, including test box, water pump and air heater.Test box top plate lower surface installs cylinder, its output end installs sealing plate, and there is test seat in test box inner chamber middle part, cylinder can drive sealing plate to lift, can flexibly adjust and test seat cooperation state, satisfy different extrusion test demand.Water pump is located on test box inner chamber baffle upper surface, water outlet is communicated with the inside of sealing plate through delivery pipe, cooperate the pressure sensor and data acquisition module on the upper surface of sealing plate, can real-time acquisition monitoring water pressure data, provide basis for quality detection.Air heater is located at test box air inlet, and air outlet is connected heating frame through gas pipe, can heat the air entering test box, provide different temperature environment, expand test range, and sealing plate cooperation can more accurately test rubber sealing element quality.

The application relates to the technical field of steel structure installation and construction of thermal power plants, in particular to a steel coal hopper installation method, which comprises the following steps: coal hopper segmentation prefabrication: the coal hopper is divided into an upper hopper body section, a lower hopper body section and a cone section; lower hopper body section hoisting: hoisting the lower hopper body section to a coal hopper beam; cone penetration: hoisting the cone section so that the cone section penetrates through the lower hopper body section; upper hopper body section hoisting: hoisting the upper hopper body section to the lower hopper body section and welding the upper hopper body section and the lower hopper body section; finishing: welding the upper end of the cone section and the lower end of the lower hopper body section. The application adopts an inverse sequence penetration mode of "first middle, then lower and finally upper" to complete the segmented hoisting of the square-to-round transition steel coal hopper, and solves the problems that the traditional hoisting sequence cannot independently support the cone and it is difficult to perform high-altitude butt welding.

The invention belongs to the technical field of traditional Chinese medicine honey refining process detection and analysis. The invention provides a honey refining process characterization method and system based on near infrared spectrum and color characteristics. The method comprises the following steps: acquiring near infrared spectrum data and corresponding color images of a sample in a flow cell through an outer circulation pipeline; extracting low-dimensional color features from the image, coupling and fusing the low-dimensional color features with the preprocessed spectral data, and constructing a honey refining process state characterization vector; establishing a partial least squares regression model as a main model, and introducing an extreme gradient lifting model as nonlinear supplement to obtain a comprehensive characterization result; and performing variable contribution analysis on the double models by utilizing a hierarchical interpretation framework, and verifying the consistency of a model prediction mechanism and a physical and chemical reaction path in a honey refining process. According to the method, spectrum and visual information are fused, linear and nonlinear modeling advantages are combined, reliability of a model mechanism is ensured through interpretability analysis, and a new way is provided for accurate monitoring of the honey refining process.

This invention relates to a method for intelligent grading and quantitative non-destructive testing of deer antler slices. It utilizes machine learning and other methods to train an artificial intelligence recognition model, enabling rapid and high-throughput quality grading of deer antler. Simultaneously, it extracts the spectral characteristics of deer antler slices at each grade using bioinformatics and chemometrics analysis, establishing a correlation between the characteristics, physicochemical properties, and spectral features of deer antler slices. This provides a scientific basis for quantitatively predicting the quality of deer antler slices using infrared spectroscopy, thereby achieving non-destructive intelligent grading and quantitative classification of deer antler slices. This invention overcomes the problem of traditional deer antler slice quality grading relying on subjective experience through multi-data fusion, enabling rapid and accurate evaluation of deer antler slice quality.

This application provides a method, apparatus, computer device, and storage medium for evaluating the quality of translated text. The method includes: acquiring a source text and a reference translation of the text to be evaluated; evaluating the quality of the reference translation based on the source text to obtain a reference quality of the reference translation; assigning a quality score to the text to be evaluated using the source text to obtain a first quality score; assigning a quality score to the text to be evaluated using the reference translation to obtain a second quality score; adjusting the weight of the first quality score according to the reference quality of the reference translation to obtain a first target quality score; and adjusting the weight of the second quality score to obtain a second target quality score; wherein the weight of the first quality score decreases as the reference quality increases; and obtaining the quality evaluation result of the text to be evaluated based on the first target quality score and the second target quality score. This effectively improves the accuracy of quality evaluation of translated text.