217results about How to "Realize quantitative analysis" patented technology

The invention provides a surface flaw analysis method combined with metal material fatigue life prediction, which comprises the following steps: carrying out grid optimization and refinement processing on an initial three-dimensional model, and carrying out refinement reconstruction on a local area to obtain a three-dimensional geometric model of the surface of a metal material, the three-dimensional geometric model comprising micro-scale surface flaw information; carrying out region division on the three-dimensional geometric model, identifying and extracting a surface defect region, carrying out edge detection on the surface defect region, and determining an accurate geometric contour and spatial position information of a defect; using finite element analysis software to import the three-dimensional geometric model and the flaw mathematical description model of the metal material, setting material attributes, boundary conditions and load conditions, and establishing a finite element analysis model containing microscopic flaws; and carrying out stress-strain analysis on the finite element analysis model of the microscopic flaws, calculating stress distribution and stress concentration coefficients around the flaws, and evaluating the influence of the flaws on fatigue crack initiation and expansion by adopting a fracture mechanics theory.

The invention provides a power transmission and transformation project ecological influence space-time boundary determination method and system based on multi-source remote sensing information deep fusion interpretation, and belongs to the technical field of power transmission and transformation project management. The method comprises the steps of data acquisition, data preprocessing and multi-source data integration, multi-scale space-time analysis, ecological influence index construction, remote sensing ecological index model construction, ecological influence space-time boundary determination, dynamic monitoring and early warning system platform establishment and long-term monitoring and evaluation. By integrating satellite remote sensing, unmanned aerial vehicle aerial photography and ground monitoring data and combining an image fusion algorithm, a principal component analysis method and a random forest algorithm technology, the method is beneficial to promoting accurate evaluation of the influence of the power transmission and transformation project on the ecological environment, visualizes the space-time boundary of the ecological influence, breaks through the limitation of a traditional evaluation method on time and space coverage, and improves the evaluation efficiency of the power transmission and transformation project. And a scientific method system for analyzing and evaluating the ecological influence of the power transmission and transformation project is further improved.

The invention belongs to the technical field of personalized insole manufacturing, particularly relates to a personalized insole manufacturing method and system based on three-dimensional motion capture and 3D printing, and aims to solve the problem that most existing insoles are generally manufactured and lack targeted design for consumers. The method comprises the following steps: preprocessing foot data of a target to obtain preprocessed foot data; performing feature extraction on the preprocessed foot data to obtain each foot feature; constructing a comprehensive feature vector of each foot feature based on the data source feature of each foot feature; performing mechanical analysis on the target based on the data source features to obtain a mechanical analysis result; performing multi-modal fusion on each comprehensive feature vector by using an algorithm to obtain a foot biomechanical model; and performing 3D printing of the insole based on the mechanical analysis result and the foot mechanical model. According to the method, scientific and objective data support is provided for comprehensive quantitative analysis of the motion state of the foot, and manufacturing of personalized insoles is guided.

The invention discloses an aggregate three-dimensional shape detection method and system based on particle two-dimensional parameters, and relates to the technical field of aggregate detection and image processing. The method mainly comprises the following steps: acquiring two-dimensional form data of aggregate by adopting an aggregate image measurement system AIMS, acquiring three-dimensional form data of the aggregate by combining a three-dimensional blue light scanner and visual AVIZO software, and establishing association mapping of two-dimensional indexes and three-dimensional indexes by utilizing a gradient lifting regression tree method, so that rapid and accurate estimation of the three-dimensional form of the aggregate is realized. Fine management of mineral aggregate classification identification, storage and accurate calling can be realized, scientific support is provided for engineering design, and intelligent and automatic development of engineering management is promoted.

The invention provides a coal mine gas inspection task generation and distribution method and system, and relates to the technical field of coal mine safety management. The method specifically comprises the following steps: acquiring coal mine geologic structure distribution data and coal mine gas real-time concentration distribution data, and carrying out spatial topology simulation analysis and gas distribution matching to obtain a coal mine gas real-time distribution simulation space; performing wind power distribution detection and wind stopping area division processing on the coal mine to obtain a coal mine gas distribution space fixed wind stopping area and a coal mine gas distribution space temporary wind stopping area; and performing zoned gas leakage hot spot analysis and inspection task generation processing on the coal mine gas distribution space fixed blowing-out area and the coal mine gas distribution space temporary blowing-out area, and performing inspection capability detection and inspection task distribution processing to obtain a coal mine gas inspection task distribution result. According to the invention, the gas inspection efficiency and safety are effectively improved.

The invention provides an online health evaluation method and device for a photovoltaic power station module based on parameter identification, and relates to the technical field of photovoltaic monitoring control, and the method comprises the steps: collecting the actual measurement backboard temperature, actual measurement working voltage, actual measurement working current and actual measurement environment irradiance of a target photovoltaic module at each sampling moment; the method comprises the following steps: acquiring component parameters of a target photovoltaic component, constructing a first I-V curve of the target photovoltaic component, determining short-circuit current corresponding to actually measured environmental irradiance at each sampling moment through a preset fitting function, and determining the temperature of the target photovoltaic component based on the short-circuit current at each sampling moment, the actually measured backboard temperature and the component parameters of the target photovoltaic component. The first I-V curve is converted into a first I-V correction curve under a preset standard through a preset correction model, and the component parameters of the target photovoltaic component are obtained by optimizing a pre-constructed photovoltaic component current model through a particle swarm algorithm and the test photovoltaic component; constructing a first target data point set of the first I-V correction curve and a second target data point set corresponding to the standard I-V correction curve; and determining a grey correlation degree between the first target data point set and the second target data point set, and determining a health index of the target photovoltaic module under the grey correlation degree through a preset health evaluation model. According to the invention, quantitative analysis of the health state of the photovoltaic module is realized.

The invention provides a peaceful treatment and care effect evaluation method, which belongs to the technical field of peaceful treatment and care effect evaluation, and comprises the following steps: establishing a physiological index anomaly detection model and removing abnormal data by collecting physiological index data and subjective score data of a patient in real time and applying technologies such as multivariate mixed decomposition and time sequence feature analysis. And establishing a function relationship between the physiological index stable component and the subjective score data, calculating a physiological fluctuation influence coefficient matrix, and performing weighted fusion calculation by using the corrected physiological stability coefficient matrix and subjective score coefficient matrix according to a personalized reference range in a patient baseline database to obtain a comprehensive score of the calming treatment and protection effect. And finally, according to a preset scoring interval, generating an evaluation result of the calming treatment and protection effect. According to the method, the physiological index data and the subjective score data are fully utilized, and the problem that the current calming treatment effect depends on subjective evaluation of medical staff and is difficult to reflect accurately is solved.

The invention discloses a method and a system for simulating bubble motion in transformer oil by considering multi-physics field coupling, and the method comprises the steps: fusing an energy equation into a mass conservation and momentum conservation equation, and constructing a multi-physics field model which considers the coupling of an electric field, a thermal field and a flow field; introducing a k-epsilon turbulence model into the multi-physics field model to obtain a first optimized multi-physics field model; the k-epsilon turbulence model is an oil flow model in a large transformer; introducing a phase field method into the first optimized multi-physics field model to obtain a second optimized multi-physics field model; various forces of bubble motion are introduced into the second optimized multi-physics field model, and a third optimized multi-physics field model is obtained; and performing parameter solving on the third optimized multi-physical field model to obtain the movement process of the bubbles in the transformer oil. According to the invention, a multi-physical field model considering coupling of an electric field, a thermal field and a flow field is constructed, and comprehensive and accurate simulation of bubble motion in transformer oil is realized.

The invention relates to a microcosmic visualization underground reservoir two-phase flow displacement experiment system and method, and the system comprises a microcosmic seepage chip, and an injection module, a microcosmic holder, a pressure and temperature acquisition control module, a gas metering module and a data and image acquisition module which are connected in sequence; a microscopic seepage chip is clamped in the microscopic clamping device; the injection module comprises an N2 gas cylinder, a hydrogen generator, a piston container, an injection pump and a pressure regulating valve; the pressure and temperature acquisition control module comprises an annular pressure tracking pump, a pressure return unit, a temperature sensor and a heating unit. The pressure return unit comprises a pressure return valve, a pressure return container and a pressure return pump. Compared with the prior art, the seepage condition of the two-phase flow in the model and the residual gas phase distribution condition after the two-phase flow passes through gas drive water, water drive gas, polymer drive and other chemical drive can be visually observed, and the accuracy of experimental data is ensured.

The invention relates to the technical field of sound effect optimization, and discloses a sound effect optimization method and device based on a coaxial loudspeaker echo wall sound box, and the method comprises the steps: carrying out the acoustic response measurement and acoustic feature analysis of the coaxial loudspeaker echo wall sound box, and obtaining a frequency domain acoustic response characteristic curve; performing acoustic partition calculation on the internal space of the coaxial loudspeaker echo wall sound box to obtain a spatial arrangement parameter of an acoustic processing unit; carrying out acoustic center positioning calculation on the coaxial loudspeaker to obtain a space coordinate parameter and an axial inclination angle parameter of the coaxial loudspeaker; carrying out sound reflection angle calculation and material combination optimization on the inner wall structure of the echo wall sound box to obtain an inner wall geometric curvature parameter and a box body material lamination parameter; sound pressure level frequency response curve analysis and sound phase positioning precision measurement are carried out on the inner wall geometric curvature parameters and the box body material lamination parameters, sound box acoustic performance verification data are obtained, the uniformity of the sound field in the sound box is guaranteed, and then the acoustic performance of the sound box is improved.

The present invention discloses an evaluation method and system for pollution damage in nearshore waters, belonging to the technical field of pollution evaluation in nearshore waters. The method comprises: constructing a basic association network between environmental pollution behavior and environmental damage in nearshore waters; optimizing the basic association network to obtain an optimized association network, splitting the optimized association network into a pollution causal chain, the pollution causal chain including pollution causes, pollution phenomena and pollution results; collecting image data and water quality data of a target area, and constructing a time series based on the water quality data; analyzing the time series and image data to obtain the actual pollution phenomenon in the target area, and determining the corresponding actual pollution cause in combination with the pollution causal chain; calculating the loss cost of this pollution according to the actual pollution performance, the time series and the basic database, generating charts and reports and displaying them. The present invention can automatically determine the causal relationship between pollution phenomena and pollution behaviors, thereby improving the work efficiency of relevant personnel.

The invention discloses a method and system for determining the pressure relief drill hole spacing in a three-dimensional stress field, and relates to the field of drill hole spacing layer.The method comprises the steps that the roadway bearing pressure peak value range is obtained; acquiring corresponding crustal stress magnitude, crustal stress azimuth angle and inclination angle; the cohesion C, the internal friction angle phi, the Poisson's ratio v and the pressure relief drill hole radius of the roadway surrounding rock are determined; the stress is converted into a stress load under a drilling coordinate system through a coordinate conversion method; on the basis of a Kirsch solving method and by means of the determined drilling radius and the obtained stress load under the drilling coordinate system, the normal stress sigma r, sigma t and sigma v and the shear stress taurt, taurv and tautv of any point within the preset range of the hole under the drilling coordinate system are obtained; based on the M-C strength criterion of the three-dimensional state, the radius r of the pressure relief drilling anti-reflection ring is obtained through solving by means of rock mechanical parameters; and according to the r, the arrangement mode of the pressure relief drill holes is determined. Aiming at unreasonable pressure relief drill hole arrangement and unclear pressure relief parameters in the prior art, the method improves the normativity of roadway surrounding rock drill hole pressure relief.

The invention discloses a layered rock mass preparation method and device based on a digital image, and the method comprises the following specific steps: S1, carrying out the intelligent recognition and parameter extraction of the stratified rock mass bedding of a target layer rock sample, obtaining the bedding structure feature information of the sample, carrying out the high-precision digital three-dimensional reconstruction of the bedding structure, and obtaining the high-precision digital three-dimensional reconstruction of the stratified rock mass; a corresponding digital reconstruction model is obtained; and S2, according to the digital reconstruction model and bedding structure feature information of the sample, preparing the layered rock-like test piece based on a 3D printing technology. According to the invention, the preparation process of the layered rock mass test piece is simplified, the sample printing efficiency is improved, the sample difference is reduced, the consistency and surface flatness of the test piece are greatly improved, the discreteness among the samples is reduced, and the rock mass characteristics under the real geological condition are better simulated; meanwhile, the period of stratified rock mass research and engineering application is effectively shortened, and the reliability and practicability of a simulation experiment are improved.

The invention discloses an evaluation method and system for offshore area pollution damage, and belongs to the technical field of offshore area pollution evaluation, and the method comprises the steps: constructing a basic correlation network of environmental pollution behaviors and offshore area environmental damage; optimizing the basic association network to obtain an optimized association network, and splitting the optimized association network into pollution causal chains including pollution causes, pollution phenomena and pollution results; collecting image data and water quality data of the target area, and constructing a time sequence based on the water quality data; analyzing the time sequence and the image data to obtain an actual pollution phenomenon of the target area, and determining a corresponding actual pollution reason in combination with a pollution causal chain; and calculating the loss cost of the pollution according to the actual pollution performance, the time sequence and the basic database, generating a chart and a report, and displaying the chart and the report. According to the invention, the causal relationship between the pollution phenomenon and the pollution behavior can be automatically determined, so that the working efficiency of related personnel is improved.

The invention provides a tumor infiltration boundary analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: analyzing space transcriptome data, and determining a tumor region and a non-tumor region; boundary division is carried out on the tumor area and the non-tumor area, and a boundary line between the tumor area and the non-tumor area is determined; dividing the areas on the two sides of the boundary line to obtain a preset number of grid areas; numbering the preset number of grid regions to obtain an infiltration boundary region; and according to the spatial transcriptome data and the infiltration boundary region, analyzing heterogeneity statistical information of the boundary region and enriched gene information of the boundary region. The space transcriptome data is processed, and the boundary line of the tumor area and the non-tumor area is determined; after the areas on the two sides of the boundary line are divided, the divided infiltration boundary areas are analyzed, and quantitative analysis on the tumor infiltration boundary areas can be achieved through space transcriptome data. And the invasion and infiltration process of the tumor can be analyzed.

The utility model relates to the technical field of organic matter detection, in particular to an online photoionization detector system for measuring volatile organic compounds, which comprises a gas circuit module, an ionization module, a signal amplification module, a data storage module and a power supply module. The gas path module is used for collecting and guiding gas and realizing real-time monitoring of gas flow, gas path temperature and humidity; the ionization module can efficiently ionize to-be-detected gas, an ionization chamber in the ionization module can efficiently capture gas ions and electrons, interference of environmental condition changes on signals is reduced, and generated current signals and the concentration of the to-be-detected gas are in a linear relation; the signal amplification module amplifies the generated current and converts the current into a voltage signal, and the amplification efficiency can reach 109 times; the data storage module records and stores the voltage signal to realize online data visualization; the power supply module provides working voltage for the detector system. The system is high in integration degree, strong in stability and high in sensitivity, and the detection limit is superior to 0.5 ppbv.

The invention discloses an extra-high voltage direct current transmission system sending end transient overvoltage calculation and suppression method considering the influence of multiple control links, and the method specifically comprises the steps: analyzing the operation characteristics and transient voltage influence factors of an LCC-HVDC system, and revealing that direct current is a key factor affecting the transient voltage change of a bus; the method comprises the following steps: decomposing the whole process of transient direct current under commutation failure according to direct current change characteristics in an operation curve of a direct current control system, and deducing an approximate analytical expression of the direct current after the fault occurs; respectively calculating voltage drops on equivalent resistance and reactance on the line, substituting the voltage drops into a direct current analytic expression, and deducing a quantitative calculation expression of transient overvoltage of the converter bus at the sending end; according to the transient overvoltage upper limit value, the allowable direct current minimum value is obtained, and the transient overvoltage suppression method under the commutation failure for improving the VDCOL link minimum current instruction value is provided. According to the invention, the quantitative analysis of the transient voltage is realized, and the transient overvoltage level of the converter bus at the sending end is effectively reduced.

The invention relates to a hydrogen peroxide probe and a preparation method and application thereof, the hydrogen peroxide probe connects pyridinium to a difluoro boron indole electron acceptor, can induce fluorescence quenching by distorting intramolecular charge transfer, generates weak fluorescence when the concentration of hydrogen peroxide in mitochondria is low, and can detect the mitochondria. According to the present invention, the hydrogen peroxide probe is used for detecting the hydrogen peroxide concentration in the mitochondria, the continuous fluorescence response is generated when the hydrogen peroxide concentration in the mitochondria is increased, the qualitative and quantitative analysis of the hydrogen peroxide level in the mitochondria is achieved, and the hydrogen peroxide probe can target the increased lipid droplet migration after the oxidative stress is caused by the increase of the hydrogen peroxide concentration so as to well detect the oxidative stress process; the method has important significance for exploring related damage of cell oxidative stress.

The invention discloses a centralized management method and management system for enterprise-level work orders of a power supply system, and relates to the technical field of operation and maintenance management of the power supply system, and the method comprises the steps: collecting and preprocessing work order source data in the power supply system; constructing a work order association graph based on the work order source data, calculating a work order association degree, and forming a work order group; performing time sequence characteristic analysis on the work order group, identifying a periodic fault mode in the work order group by using a sequence mode mining algorithm, and generating a characteristic mark chain; training a dual-channel convolutional recurrent neural network by using the feature mark chain, establishing a fault prediction engine, and outputting a work order priority score table; and allocating a maintenance task instruction based on the work order priority score table, executing a maintenance task, and returning maintenance completion information to the work order association graph to complete work order whole process tracking. According to the method, the quantitative analysis of the association relationship between the work orders is realized by constructing the work order association map and combining the physical distance coefficient and the power supply path overlap ratio.

The invention relates to the technical field of neutron dose and internal pollution diagnosis, and provides a neutron dose and internal pollution diagnosis method and diagnostic agent.The method comprises the following steps that gamma ray signals are obtained at the head top and the lung of a human body through a detection device, and gamma rays are converted into electric pulse signals through the detection device; a digital multi-channel signal processing device is used for conducting signal processing on the electric pulse signals, signal processing comprises digital filtering and peak value sampling, and energy spectrum data are obtained; analyzing the energy spectrum data, and respectively obtaining a Na-24 characteristic gamma photon peak value at the top of the head of the human body and a characteristic gamma photon peak value at the lung of the human body; and according to the Na-24 characteristic gamma photon peak value obtained at the top of the head, calculating the neutron exposure dose according to a neutron dose algorithm, and according to the characteristic gamma photon peak value obtained at the lung, determining the type and activity of the internal pollution nuclide. According to the invention, accurate calculation of neutron dose and identification and activity determination of internal pollution nuclide are realized, and dual functions of neutron exposure dose and internal pollution diagnosis can be provided at the same time.

The invention discloses a business opportunity recommendation method and device for B-type enterprises, equipment, a medium and a product, and relates to the field of data processing. The business opportunity recommendation method for B-type enterprises comprises the following steps: acquiring association relationship information, industry and commerce information and annual report information of each B-type enterprise in a customer relationship management system; obtaining product data of N historical bidding items with determined bidding results; performing feature extraction on the data to generate a feature set, and constructing a sample data set; and training a nonlinear prediction model based on the sample data set, predicting the bid reference probability of the enterprise for each target bid invitation project, and carrying out project recommendation. According to the application, the association relationship information, the industry and commerce information, the annual report information and the product data of the bid invitation project are used for training and learning, key customers and potential opportunities are mined, the nonlinear prediction model is constructed, then the bid invitation business opportunity is analyzed and predicted, the bid parametric probability is obtained, the business opportunity recommendation for B-type enterprises is given, and the business opportunity recommendation efficiency is improved. And comprehensive mining and quantitative analysis of business opportunities are realized.

The invention discloses an equivalent circuit for electrochemical impedance spectroscopy analysis of a direct ammonia fuel cell, and provides a standard equivalent circuit of the direct ammonia fuel cell or an equivalent circuit of the direct ammonia fuel cell considering an anode solution aggregation phenomenon. By adopting the two equivalent circuits, the electrochemical impedance spectrum of the tested battery can be fitted, so that polarization impedance values including mass transfer impedance, activation impedance and ohmic impedance of the tested battery can be obtained. The two equivalent circuits provided by the invention can accurately and reasonably explain the internal electrochemical phenomenon of the low-temperature direct ammonia fuel cell under the operation condition and completely explain the internal electrochemical characteristics of the low-temperature direct ammonia fuel cell. According to the analysis method provided by the invention, the electrochemical performance of the low-temperature direct ammonia fuel cell can be represented from the angle of polarization loss, quantitative analysis of impedance of each part in the cell under the operation condition is realized, and the test technology of the low-temperature direct ammonia fuel cell is enriched to a certain extent.

The invention discloses a flavor spectrum component qualitative and quantitative analysis method of Maotai-flavor liquor, which comprises the steps of sample preparation, gas chromatography-mass spectrometry analysis, liquid chromatography-mass spectrometry analysis, sensory and chemical analysis, data processing, flavor spectrum construction and flavor component quantification and quality evaluation. According to the method, the main flavor components in the Maotai-flavor liquor can be identified, and the relative content of different flavor substances can be analyzed, so that the flavor characteristics of the liquor can be accurately evaluated, and the brewing process is optimized. The invention relates to the technical field of liquor beverage testing, and the method can realize comprehensive qualitative and quantitative analysis of various flavor components in Maotai-flavor liquor and accurately reflect the flavor characteristics of the Maotai-flavor liquor by combining gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry and combining sensory evaluation and chemical analysis means.

The invention relates to the technical field of intelligent sensing detection, in particular to an underground water detection system for hydraulic ring geological engineering based on data acquisition. The specific implementation process comprises the following steps: receiving a water quality sensing signal, and inhibiting a background interference domain and calculating a water quality physicochemical characteristic vector by utilizing water multiphase flow interference separation logic and comparing a physical scattering spectrum with a polarization drift spectrum; inputting the water quality physicochemical characteristic vector into a water quality physicochemical dynamic response model, executing concentration gradient variation modulus analysis, inverting a performance kinetic energy index, comparing the performance kinetic energy index with a water chemical equilibrium critical threshold, and regulating and controlling the sampling frequency; when the sudden change event is judged, generating a transient capture signal to execute locking sampling, and when the threshold is not broken through, generating a baseline water quality inspection signal to execute steady state monitoring. According to the method, the detection frequency is automatically adjusted by calculating the evolution kinetic energy index, the physical background interference is inhibited by utilizing the cross-correlation analysis between spectrums, the deviation degree of chemical equilibrium of the water body is quantified, and the fidelity of underground water monitoring data is improved.

The present invention proposes a method for planning and site selection of urban public parking lots by integrating OD and POI models, including dividing a target area into multiple OD traffic areas, establishing an OD parking space demand prediction model according to the traffic area motor vehicle travel attraction data, obtaining the public parking space demand of each traffic area and assigning it to the OD traffic area surface vector attribute table, obtaining multiple types of parking influencing factor POI data affecting parking results, establishing a site selection analysis POI model, obtaining a parking site selection grid map of the target area, obtaining a parking site selection grid map of each traffic area, obtaining a site selection grid map of an urban public parking lot integrating parking space demand, obtaining a grid map of the maximum value area of ​​the required parking space in the target area, taking the area as a research area, obtaining the number of parking spaces to be built, obtaining the location of regional vacant spaces, and conducting simulation evaluation in combination with the number of parking spaces. The fusion model fully considers various factors affecting parking demand, realizes site selection from macro to micro, and can meet the systematic needs of special planning.

The invention belongs to the technical field of industrial automation and intelligent manufacturing, and particularly discloses a steel analysis laboratory intelligent monitoring management system based on multi-source data fusion, which comprises a parameter monitoring module, a process judgment module, a path decision module, a deviation analysis module, a deviation propagation judgment module and a health assessment module. According to the method, the equipment operation state parameters and the material quality parameters of the steel sample in each process are collected in real time, and the preset steel quality detection standard is combined to judge whether the current process is qualified or not, so that the problem that equipment monitoring and quality detection are mutually disjointed is solved; meanwhile, the state deviation degree of the previous procedure and the real-time monitoring parameters of the subsequent procedure are subjected to fusion analysis, cross-procedure quality influence evaluation is established, then the propagation path of the quality deviation between the procedures is dynamically tracked, the process set value of the subsequent procedure is accurately adjusted based on the deviation of the previous procedure, and the quality of the subsequent procedure is improved. And beforehand intervention on the quality risk is realized.

The utility model relates to the technical field of rice processing, in particular to an internal pressure measuring and controlling device of a rice polishing machine, which comprises a polishing roll, a roll screen is arranged outside the polishing roll, a plurality of groups of support ribs are distributed on the outer wall of the roll screen, and the support ribs are fixedly welded with the surface of the roll screen. A supporting frame is arranged between every two adjacent supporting rib pieces, the two ends of each supporting frame are fixed to the corresponding supporting rib pieces through screws, a plurality of cushion blocks are distributed on the inner side of each supporting frame, strain gauge carriers are arranged on the sides, close to the roller screen, of the cushion blocks, and the supporting frames, the cushion blocks and the strain gauge carriers are fixed through screws. The construction of the internal pressure detection system of the polishing machine is completed by designing a multi-point strain gauge measurement sensor and a multi-path acquisition module; based on measurement data of an internal pressure detection system, quantitative analysis on the influence of factors such as the position of a pressing weight, the rotating speed and feeding control on the polishing pressure is achieved.

The invention provides a detection method and application of amphoteric and cationic perfluorinated and polyfluoroalkyl compounds, the method optimizes an extraction agent, can more comprehensively detect, qualitatively and quantitatively analyze amphoteric and cationic PFAS in solid samples such as biological solids, soil and the like, has high accuracy and detection precision, and can be widely applied to detection of amphoteric and cationic perfluorinated and polyfluoroalkyl compounds. The amphoteric and cationic PFAS with more unknown structures can be identified and analyzed, the blank of the prior art in the aspect of extracting and detecting amphoteric and cationic perfluorinated and polyfluoroalkyl compounds is filled, the occurrence level and fate-to-transition behavior of the amphoteric and cationic PFAS in the environment can be accurately analyzed, traditional and novel amphoteric and cationic PFAS in the environment can be identified, and the detection accuracy of the amphoteric and cationic perfluorinated and polyfluoroalkyl compounds is improved. And a scientific basis is provided for new pollutant treatment in China.

The invention relates to a method for designing the thickness of a sealing steel plate of an underground gas storage. The method comprises the following steps: determining a steel yield strain value of the selected sealing steel plate; under the condition that surrounding rock cracks exist outside the sealing steel plate, the limit strain value of the sealing steel plate in the operation period is obtained; the steel yield strain value is compared with the limit strain value, and when the limit strain value is smaller than the steel yield strain value, the fatigue durability of the sealing steel plate is calculated; and determining the thickness of the required sealing steel plate according to the fatigue durability. The invention further provides an underground gas storage. The steel plate obtained through the method for designing the thickness of the sealing steel plate of the underground gas storage is adopted. According to the method, the actual thickness of the sealing steel plate is comprehensively determined through the joint crossing condition and the fatigue durability condition, and compared with an existing steel plate fire toxin selection method, quantitative analysis of the reliability of the sealing steel plate is achieved, the proper steel plate thickness can be rapidly and accurately obtained, and a reliable solution can be provided for design of a steel plate sealing gas storage.

This invention relates to the field of semiconductor material testing technology, specifically a single-crystal silicon wafer slip line detection system and method, comprising: a light source module emitting light signals of different wavelengths and polarization angles to scan the silicon wafer; a silicon wafer scanning module mounting the silicon wafer under test, adjusting the position of the silicon wafer under test, and executing a scanning trajectory to scan the silicon wafer with light signals; a signal acquisition and processing module receiving the light signals transmitted through the silicon wafer under test, performing preprocessing to obtain DU values ​​at different wavelengths and polarization angles, and sending them to an industrial control computer; the industrial control computer reconstructing the strain field based on the DU values ​​using a strain field reconstruction algorithm to generate a strain field distribution map; and identifying slip lines based on the strain field distribution map using a convolutional neural network model. This solution enables non-contact, non-destructive, and high-resolution slip line detection, thereby improving detection accuracy and efficiency.