48results about How to "Accurate quantitative analysis" patented technology

The invention discloses a bridge appearance disease detection method and system based on laser point cloud and visual image fusion, and the method comprises the steps: carrying out the synchronous data collection through employing a calibrated laser radar and a camera, and obtaining a three-dimensional laser point cloud and a two-dimensional visual image of a bridge appearance; projecting the three-dimensional laser point cloud to a two-dimensional visual image plane through a mapping model to generate a point cloud front view; identifying diseases in the two-dimensional visual image by adopting a preset target detection model, and generating a segmentation mask for each disease; screening out points in the segmentation mask from the point cloud front view to obtain a potential disease three-dimensional point cloud; error points generated by local shielding in the potential disease three-dimensional point cloud are filtered through ray tracing, and a real disease three-dimensional point cloud is obtained; distributing the depth information of the real disease three-dimensional point cloud to corresponding pixel points, generating a depth map of a disease segmentation mask region, and performing quantitative calculation on the physical size of the disease; and displaying the real disease three-dimensional point cloud data and the disease physical size. The method is high in efficiency and precision.

The invention discloses a plain river network area in-river pollution analysis method based on a watershed hydrology and water quality model, and belongs to the technical field of water environment comprehensive treatment. According to the method, aiming at the problems that complicated hydrological characteristics and pollution sources in a plain river network area are difficult to trace to the source, accurate analysis of pollutants entering a river is realized through riverway topological relation carding, sub catchment partition division, basin hydrological water quality model construction, pollution load calculation and pollution source composition analysis; the method comprises the specific technical steps of river channel screening and topological relation carding, ArcSWAT-based sub catchment partition division, basin hydrology and water quality model building and simulation, pollution load calculation and pollution source identification. The method can reasonably divide catchment zones, simulate the flushing and river entering processes of pollutants, improve the accuracy of pollution source analysis, significantly improve the treatment efficiency, realize accurate traceability and quantitative analysis of pollutants in plain river network areas, and provide powerful data support and theoretical basis for accurate comprehensive treatment of water environments.

The invention discloses a correction method of PCR (Polymerase Chain Reaction) preference, a DNA (Deoxyribose Nucleic Acid) artificially synthesized sequence combination of a TCR-beta immune repertoire, a primer combination for amplifying the TCR-beta immune repertoire, a quantitative analysis method of the TCR-beta immune repertoire of a gDNA sample, a detection kit and application of the detection kit. The PCR preference correction method can effectively correct the preference generated in the PCR amplification process, the DNA artificially synthesized sequence combination can effectively adjust the primer concentration ratio of the multiple PCR primer combination, and the primer combination can efficiently and quantitatively amplify a TCR-beta immune repertoire without mutual interference as much as possible. According to the method, the immune repertoire can be accurately and quantitatively analyzed at the DNA level.

The invention discloses a method for quantitatively analyzing preferred mineral components based on XRD (X-Ray Diffraction), and belongs to the field of mineral quantitative analysis. The method comprises the following steps: correcting different degrees of preferred orientations of different crystal faces through multiple factors of each crystal face, and substituting the corrected diffracted intensity into a reference intensity method calculation formula to obtain the mass fraction of each component in the mixed mineral. According to the method, the mass fraction of each component in the mixed mineral can be accurately calculated, and a more reliable method is provided for quantitative analysis of the mineral.

The invention relates to the field of food detection, in particular to a method for detecting dish food quality, which comprises the following steps: acquiring a package three-dimensional image and a food three-dimensional image of a dish food to be detected, and respectively processing the package three-dimensional image and the food three-dimensional image to obtain a corresponding package contour map and a food contour map; analyzing contour lines of the package contour diagram and the food contour diagram, and calculating the curvature difference of each corresponding point; according to the curvature difference threshold value and the abnormal corresponding point threshold value, judging whether the to-be-detected dish food has an abnormal area or not; performing spectrum detection on the to-be-determined abnormal food sample to obtain the nutrient content, and determining whether the to-be-determined abnormal food goes bad according to the nutrient content; and storing the to-be-determined qualified product, and detecting the residual nutrient content of the to-be-determined qualified product when the rated storage time is up. According to the method, potential abnormal samples are rapidly screened out by analyzing the contour lines of the package and the food contour, the number of samples needing spectrum detection is reduced, and the overall detection efficiency is improved.

The invention belongs to the technical field of food safety detection, and discloses a dual-mode aquatic product freshness intelligent indication label and a preparation method and application thereof. The preparation method comprises the steps that after gold nanoparticles are dispersed in a reducing agent aqueous solution, a silver salt solution is dropwise added, then vibration treatment is conducted, and gold-core silver-shell nanoparticles are obtained; adjusting the pH value of the anthocyanin concentrated solution to be acidic, and uniformly mixing the anthocyanin concentrated solution with the gold-core silver-shell nanoparticles to obtain a gold-core silver-shell nanoparticle / anthocyanin aggregate solution; and dispersing agar and polyvinyl alcohol in water, heating to form gel, adding the gold-core silver-shell nanoparticle / anthocyanin aggregate solution at 45-50 DEG C, uniformly mixing, and cooling and solidifying to obtain the dual-mode intelligent indication label for freshness of aquatic products. The preparation method provided by the invention is simple and easy to operate, green and environment-friendly, and easy for batch preparation, and the prepared dual-mode aquatic product freshness intelligent indication label can realize sensitive and accurate quantitative analysis of aquatic product freshness indexes.

The invention discloses a method for researching a Tarim red deer population spatial distribution pattern in the field of animal ecology. The method comprises the following steps: step 1, analyzing Tarim red deer wild population distribution characteristics; 2, analyzing forest environment characteristics of the Tarim red deer wild population habitat; 3, analyzing the spatial correlation between the Tarim red deer wild population distribution and the biological environment factors; step 4, tracking and analyzing the motion trail of the Tarim red deer; 5, analyzing the influence of habitat space distribution and abiotic factors on Tarim red deer wild population distribution; and step 6, evaluating habitat suitability of the Tarim red deer wild population. The method is reliable and accurate, and provides data support for construction of a Tarim red deer wild population protected area in the future by analyzing a Tarim red deer wild population space distribution pattern and habitat forest environment characteristics, using the unmanned aerial vehicle to track a motion trail of a red deer group, evaluating habitat suitability of a habitat and evaluating a potential suitable area of the habitat.

The invention relates to the technical field of component analysis, in particular to an intelligent method, system and equipment for chemical component analysis and performance prediction of die steel. The plasma is obtained through laser excitation of the die steel, the spectral signal of the plasma is analyzed, elements with extremely low concentration can be detected, multiple elements in a sample can be analyzed at the same time, compared with a chemical titration method, time is saved, the analysis efficiency is improved, the elements can be recognized more accurately through comparison of multiple characteristic spectral lines, and the detection accuracy is improved. The detection sensitivity of low-concentration elements can be improved by using a plurality of spectral lines, data of a plurality of characteristic spectral lines can be used for more accurate quantitative analysis, more reliable element concentration information is provided, and a concentration-signal intensity relation model is established by acquiring spectral signal intensity under a plurality of preset concentrations, so that the detection sensitivity of the elements with low concentration is improved. Therefore, the spectral signal intensity is more accurately converted into the element concentration, complex spectral data can be converted into a visual concentration value, and the accuracy and reliability of quantitative analysis can be improved.

This application discloses a flexible light-emitting sensor, its fabrication method, and its application in the non-destructive detection of mercury ions, belonging to the field of sensor materials and detection technology. The technical solution of this application introduces phycocyanin as a functional crosslinking agent into a polyacrylamide (PAAM) network. The prepared phycocyanin-polyacrylamide (PC-PAAM) hydrogel combines the structural stability of polyacrylamide with the fluorescence properties and chemical reactivity of phycocyanin. This gel, within a soft and biocompatible monomer network, integrates strong responsive fluorescence, intrinsic antioxidant protection, and excellent underwater adhesion, achieving direct fingertip contact surface sensing with a synergistic mechano-optical effect. Furthermore, by combining a machine learning model trained based on hydrogel fluorescence images, it can further support precise, portable, and visualized quantitative analysis of mercury ion pollution using smartphone imaging technology.

Host-guest supramolecular probes and applications for accelerating nitroreductase detection belong to the fields of organometallic supramolecular, bioinorganic and biofluorescent probes. The supramolecular host-guest probe platform, which is assembled based on the metal organic cage main structure constructed based on the cofactor structure and the nitroreductase small molecule fluorescent probe, can be used for the rapid quantitative detection of nitroreductase in tumors, simplifying the enzyme-catalyzed double substrate process to a single substrate process. The traditional fluorescent sensor that depends on the cofactor concentration is no longer interfered by the cofactor, and has a rapid fluorescent signal response to the detection of the target enzyme. There is a linear relationship between the fluorescence emission change of the host-guest probe and the nitroreductase concentration, and compared with the simple small molecule probe, the host-guest probe shows better sensitivity to the target enzyme. This host-guest supramolecular fusion strategy provides an effective tool for the new rapid quantitative detection of nitroreductase and provides a new method for biological tracing.

The invention relates to the technical field of analysis and detection, and discloses a method for detecting the content of nonyl phenol in a sealant, and the method comprises the following steps: carrying out derivatization treatment I on a sealant to-be-detected sample with the mass of m g, and diluting to a constant volume I to V ml to obtain a mixed solution; performing chromatographic analysis I on the mixed solution to obtain a peak area Ai of a chromatographic peak of the nonyl phenol derivative; the chromatographic analysis adopts a programmed heating mode, and the programmed heating mode comprises the following steps: preserving heat at the temperature T1 for 0.5-1.5 minutes, then heating to the temperature T2 at the rate of 20-40 DEG C / min, and preserving heat at the temperature T2 for 3-6 minutes; and calculating the mass content X of nonyl phenol in the to-be-detected sample of the sealant according to the following formula: X = (Ai-b) / k * V * F / m * 100%, wherein k is greater than or equal to 90.0 and less than or equal to 110.0; 500 < = b < = 1500. The method provided by the invention is low in cost, high in accuracy, excellent in recovery rate and high in sensitivity.

The invention provides a simulation device for simulating gas leakage of sulfur hexafluoride. The simulation device for simulating gas leakage of sulfur hexafluoride comprises a simulation part, the simulation part comprises a first shell, a second shell and a first connecting piece, the first shell is provided with a first area, the second shell is provided with a second area, and the first connecting piece is used for connecting the first area and the second area; the first connecting piece is configured to be capable of adjusting the distance between the first area and the second area so that a leakage channel communicating with the gas cavity can be formed. The gas inlet part is used for introducing gas for detection into the gas chamber; a distance measuring part provided on at least one of the first housing and the second housing, the distance measuring part for detecting a distance between the first region and the second region; and a detection unit for detecting the concentration of the detection gas in the leak path. According to the technical scheme, the problem that the gas leakage rate of sulfur hexafluoride is difficult to quantitatively simulate in the prior art is solved.

The present invention discloses a method for determining biomass tar components, including: distilling biomass tar to obtain tar fractions and asphaltene; passing the tar fractions through a chromatography column to obtain aliphatic components, aromatic components, ester components and polar components respectively; determining the composition and content of aliphatic components, aromatic components, ester components and polar components by GC-MS method; in the case of the relative content of each component determined by GC-MS method, the final weight loss rate determined by a thermogravimetric analyzer is multiplied by the relative content value of each component determined by a gas chromatography-mass spectrometer to obtain the accurate content of each component in the tar. The present invention overcomes the problems existing in the existing biomass tar component analysis technology and the defects existing in the determination of tar composition by a single technology, and provides a method for efficiently and accurately analyzing biomass tar components and their contents by combining multiple technologies.

The invention belongs to the technical field of biological detection, and relates to a PCR (Polymerase Chain Reaction) primer combination for detecting mycoplasma and application of the PCR primer combination, an upstream primer sequence of the PCR primer combination is as shown in SEQ ID NO.1, and a downstream primer sequence of the PCR primer combination is as shown in SEQ ID NO.2. When the PCR amplification primer combination is used for detecting mycoplasma, the specificity is high, the sensitivity is high, the pollution can be accurately detected under the mycoplasma DNA concentration as low as 0.5 ng / mu L, and meanwhile, the PCR amplification primer combination has the potential of high-throughput screening. A reliable and efficient technical means is provided for conventional mycoplasma detection, a mycoplasma detection kit prepared from the PCR primer combination can detect the most common mycoplasma in cell culture in a laboratory, and the PCR primer combination has the advantages of being high in specificity and sensitivity and wide in detection range and has good application prospects. The method has important application value for biomedical research and biotechnology industry.

The invention discloses a method for detecting specific impurities in 2-bromo-4, 5-dimethoxybenzyl bromide in the field of medical analysis, which is characterized in that octadecylsilane chemically bonded silica is used as a detection chromatographic column, acetonitrile and water are used as mobile phases, and high performance liquid chromatography is carried out. The method has the advantages that the response value is high, the 3, 4-dimethoxybenzyl alcohol and the 2-bromo-4, 5-dimethoxybenzaldehyde impurities in the 2-bromo-4, 5-dimethoxybenzyl bromide can be effectively separated and detected, the detection operation is simple, the product purity and impurity content detection result accuracy is high, the system applicability, specificity, linearity and range all meet the requirements, and the method is suitable for industrial production. The problems of purity detection and impurity control of the substance are solved.

The application discloses damaged mitochondria as a malignant tumor metastasis prediction marker, and an application and detection system thereof, and is used for solving the problems of lacking specific prediction indexes and efficient and feasible prediction means for predicting malignant tumor metastasis in the prior art. The application rapidly enriches mitochondria from a to-be-detected plasma sample, detects the concentration of the prediction marker damaged mitochondria, and predicts the malignant tumor metastasis risk of a patient corresponding to the to-be-detected plasma sample based on the concentration of the prediction marker damaged mitochondria, so that whether the tumor patient will have metastasis in the future can be simply, rapidly and accurately predicted.

The application provides a heat storage performance attenuation reason tracing method of a particle energy storage system, and belongs to the technical field of particle energy storage systems.The application uses molecular dynamics simulation to analyze the heat conduction mechanism at the molecular scale and establish an attenuation model, uses a discrete element method to simulate the inter-particle contact heat transfer behavior to construct a particle scale attenuation model, establishes a system scale heat transfer mathematical model based on the continuum mechanics theory, uses the encoder-decoder architecture of the heat conduction prediction model to realize multi-scale coupled heat transfer attenuation prediction, adjusts the model parameters by comparing the measured data and the prediction results, establishes a heat storage performance attenuation reason discrimination matrix and uses recursive feature refinement processing to determine the dominant attenuation mechanism, and formulates a corresponding performance repair strategy according to the attenuation mechanism type, thereby solving the technical problem that the root cause of the heat storage performance attenuation of the particle energy storage system cannot be accurately identified and traced.

The invention belongs to the field of analytical chemistry, and particularly relates to a method for determining 4-(4-amino-3-fluorophenoxy) pyridine-2-carboxylic acid methylamine and 2-chloro-5-aminobenzotrifluoride in a medicine, the determination method is a liquid chromatography, a C8 chromatographic column is adopted, a mobile phase A is selected from a phosphate solution, a mobile phase B is selected from a nitrile solvent, and gradient elution is carried out. The detection method has good specificity, repeatability and accuracy and high sensitivity, can effectively and accurately perform qualitative and quantitative analysis on the compound, and ensures safety and effectiveness of medicine quality.

The application relates to the technical field of intelligent interaction systems and automobile customer service marketing, and discloses a traffic automobile customer service marketing method and system based on a large language model, wherein the traffic automobile customer service marketing method based on the large language model comprises the following steps: collecting driver fixation point data by using an eye movement tracking algorithm to generate eye movement trajectory data sets; constructing a visual attention heat map to form a user attention distribution model; calculating multi-medium characteristic parameters to establish a medium characteristic model; using the large language model to generate and adapt personalized marketing content and output multi-medium compatible marketing information; realizing intelligent attention guidance according to the user attention distribution model, the medium characteristic model and the multi-medium compatible marketing information; and realizing accurate perception and quantitative analysis of the visual attention of the driver through the eye movement tracking technology, so that the marketing system can master the user focus points in real time, and the technical problem that a traditional interface cannot perceive actual user focus points is solved.

The invention relates to the technical field of biochemical detection, in particular to a sample pretreatment method, a method for detecting the ratio of 5-methylcytosine to cytosine and a kit. The sample pretreatment method comprises the following steps: providing a sample containing substances to be detected, wherein the substances to be detected comprise 5-methylcytosine and cytosine; the method comprises the following steps: mixing magnetic beads containing sulfonic acid groups with a sample, carrying out adsorption treatment, and then carrying out leaching treatment by using an alcoholic solution to obtain a to-be-detected substance-magnetic bead compound; eluting the to-be-detected substance-magnetic bead compound by using the eluent to obtain a to-be-detected sample; the eluent comprises at least one of a formic acid-alcohol solution and an ammonia water-alcohol solution. The sample pretreatment method is simple in process and low in cost, the to-be-detected sample containing the 5-methylcytosine and the cytosine can be efficiently obtained, the ratio of the 5-methylcytosine to the cytosine can be accurately quantified in a high-sensitivity mode on the basis of the electrospray high-efficiency ion mobility spectrometry technology subsequently, and the method has good application prospects.

The utility model relates to the technical field of tunnel support deformation detection, in particular to a monitoring device for tunnel support structure deformation, which comprises a central disc and a deformation measuring mechanism, a mounting cylinder is fixedly mounted on the side edge of the central disc, a conductive tube is arranged on the inner side of the mounting cylinder, and a sleeve is slidably mounted on the conductive tube. A tunnel supporting structure supporting plate is arranged on the sleeve, and a friction limiting mechanism is arranged on the side edge of the mounting cylinder. The deformation measuring mechanism comprises a linear resistor sliding cylinder and a conductive seat, the linear resistor sliding cylinder is fixedly mounted on the inner wall of the mounting cylinder, and a conductive tube is slidably inserted into the inner side of the linear resistor sliding cylinder. According to the utility model, the deformation measuring mechanism is arranged, the relation between circuit current and resistance is utilized by the deformation measuring mechanism for calculation, the calculation result is accurate, and the deformation on the supporting structure can be quantitatively measured, so that the specific deformation of the supporting structure can be accurately and quantitatively analyzed, and important data reference is provided for safe construction of a tunnel; and the practicability is improved.

The present invention relates to the technical field of large-scale cultivated land soil element analysis, and in particular to a data screening and multi-element quantitative analysis method based on calibration-free LIBS technology. In the long-term monitoring of excessive heavy metals and imbalance of trace elements in high-standard farmland, a large amount of spectral data will be generated during the LIBS detection of large-scale soil elements, most of which are invalid data due to the influence of matrix effects such as soil moisture and density and differences in detection conditions, resulting in problems such as long data transmission time, poor result accuracy and low analysis efficiency. The present invention uses a box plot to scientifically screen spectral data. For soil samples from different environments, the spectral data of [Q1, Q3] is judged to be valid, and the others are outliers, so as to achieve the screening of at least one-third of invalid data; the spectral data after data screening is quantitatively analyzed by the calibration-free LIBS method, and the results are corrected by metal elements of known concentrations to achieve improved detection accuracy.

The invention belongs to the technical field of urban rail system safety analysis, and particularly relates to a universal safety platform risk analysis method, system and device and a storage medium, and the method comprises the steps: determining an output error of a universal safety platform system as a top event; distributing the safety integrity requirement of the top event to a safety function for protecting the top event; analyzing the failure mode of the safety function to construct a fault tree; simplifying the fault tree, and determining the structural importance and key risk factors of the basic events in the bottom events; according to the key risk factors and the MTBF, the fault rate of each bottom event is calculated, and the occurrence probability of the top event is obtained according to the fault rate. According to the method, the fault tree model accurately reflecting the system risk logic is constructed by combining the actual situation of the general safety platform, the key risk factors in the general safety platform are more comprehensively identified and quantitatively evaluated, and therefore powerful support is provided for safety management and risk prevention of the urban rail system.

The utility model relates to agricultural disease sampling technical field, concretely discloses a kind of sampling device for agricultural disease identification, including base, the upper portion of base is connected with the spacing adjustable pressure bar, the end of pressure bar is equipped with detachable cutting cylinder, one end of base is connected with rotatable backing plate, the upper end of backing plate is equipped with supporting block, cutting cylinder and supporting block cooperate cutting blade sampling, sample is stored in cutting cylinder, and top block that sample is pushed out is equipped in cutting cylinder;The utility model adopts the intuitive linear operation mode of "grasp-cut-push", greatly reduces the labor intensity and training cost of operator, simplifies operation process, significantly improves operation efficiency and convenience;Simple structure, clean fast, solve the problem that it is difficult to clean thoroughly due to complex structure, avoid cross contamination, guarantee the authenticity of sample and detection.

The application discloses a kind of chip surface submicron dirty spot half-supervised automatic positioning method, comprising: S1, chip surface image is shot;S2, rough positioning: construct double memory bank driven semi-supervised AE defect positioning network, quickly resolve the two-dimensional center coordinates and radius of dirty spot;S3, fine positioning: the rough positioning area of dirty spot is carried out high-density depth data acquisition;S4, dirty spot three-dimensional model construction: the accurate depth value of each dirty spot is fused with the two-dimensional coordinate in rough positioning, and the high-precision point cloud model of micro dirty is generated.The method constructs double memory bank driven semi-supervised AE defect positioning network and based on galvanometer scanning image field telecentric spectral confocal detection system, effectively solve the detection problem caused by the scarcity of micro dirty sample in industrial scene, break through the bottleneck of low efficiency of traditional full-field scanning, realize the efficient, accurate three-dimensional reconstruction and quantitative analysis to the geometry appearance of chip surface submicron dirty.

The invention discloses a hydrogen leakage diagnosis method and device based on multi-modal information combination, and relates to the technical field of industrial safety monitoring and fault diagnosis, and the method comprises the steps: determining whether hydrogen concentration data exceeds a set concentration threshold value or not; if the hydrogen concentration data exceeds a set concentration threshold value, acquiring multi-modal information data in real time; if the hydrogen concentration data does not exceed the set concentration threshold value, processing is not carried out; determining an acoustic confidence map, an optical confidence map and an infrared confidence map; determining a fusion weight parameter based on the environment information data and the memory cell bank, and further obtaining a fusion confidence map and a weighted fusion feature vector; determining a hydrogen leakage position based on the fusion confidence map; adopting a multi-output neural network regression model to obtain hydrogen leakage quantitative parameters based on the weighted fusion feature vectors; and updating the memory cell bank based on the environmental information data, the hydrogen leakage position and the hydrogen leakage quantitative parameter. The accuracy, reliability and long-term stability of hydrogen leakage diagnosis can be improved.

The invention relates to the field of analytical chemistry and biochemistry, and discloses a cyclic dipeptide epimer determination method, which comprises: S1, sample preparation: extracting a sample containing a cyclic dipeptide epimer, treating the sample with a solvent, filtering through a filtration membrane, and adding an internal standard substance with a known concentration for quantification; s2, adding an internal standard: adding an internal standard solution into the sample; s3, high performance liquid chromatography separation: injecting the sample into a high performance liquid chromatography system, and carrying out gradient elution by adopting a specific chromatographic column; s4, mass spectrometric detection: adopting an electrospray ionization source and a positive ion mode, and selecting specific parent ion and daughter ion pairs; and S5, data processing: comparing the peak area of the cyclic dipeptide epimer in the mass spectrum with the peak area of the internal standard. By combining HPLC and MS / MS technologies, efficient separation and high-sensitivity detection of the cyclic dipeptide epimer can be realized, and especially, the method has excellent detection performance on a low-concentration sample (the lowest detection limit can reach 50ng / mL).

The invention discloses a method and system for testing geochemical information while drilling based on spectral analysis, and relates to the technical field of geochemical information testing while drilling, and the system comprises a drilling module which is used for drilling a tunnel face and flushing rock slag; the rock slag extraction module is used for automatically collecting flushing fluid in the drilling process, performing multi-layer filtering and drying on the flushing fluid, and extracting dried rock slag and rock powder; the geochemical information acquisition module is used for testing and acquiring spectral data and element data of the rock powder and the rock slag by using a probe; the geochemical information analysis module comprises a control unit and a data processing unit; wherein the control unit is used for controlling operation of the drilling module, the rock slag extraction module and the geochemical information acquisition module; and the data processing unit is used for performing fusion identification analysis on the acquired spectral data and element data by adopting a multi-modal fusion identification model based on MMCA-Net, and efficiently and accurately identifying the types and contents of elements and minerals of the tunnel face rock mass rock.

The invention discloses a method for analyzing building space design by using VR to collect fixation points, a three-dimensional model matched with a real building space is established, a VR scene is established, when experimenters visit in the VR scene, the fixation sight lines of the experimenters are collected through VR equipment, the intersection points of the fixation sight lines and the VR scene are calculated, and the interaction points of the fixation sight lines and the VR scene are calculated. According to the method, the observation points of the experimenters on the interior landscape of the building are obtained, the observation duration is counted, finally, the observation points of all the experimenters and the corresponding observation duration are mapped and visualized, a visual visualization result is obtained, and the building space design can be evaluated accurately, clearly and visually. According to the method, stability and consistency of the space coordinate system are guaranteed in the analysis process, the collected fixation point is matched with the building space, the fixation point also corresponds to the building space, and the association between the analysis result and the building space is more visual.

The invention relates to an in-situ analysis device and method for imbibition and retention characteristics of coal shale fracturing fluid. The device comprises a high-pressure gas drive system, a core holder, a fracturing fluid conveying and injecting system, a precise weighing device and a liquid recovery device, and the high-pressure gas drive system and the fracturing fluid conveying and injecting system are connected with an inlet in one end of the core holder through pipelines respectively. A first liquid chromatograph is connected in series on a pipeline for connecting the fracturing fluid conveying and injecting system and the rock core holder, an outlet at the other end of the rock core holder is connected with a weighing container placed on precise weighing equipment through a pipeline, the bottom of the weighing container is connected with a liquid recovery device, and a second liquid chromatograph is connected in series on the pipeline; a heating device and a low-field nuclear magnetic resonance spectrometer are arranged outside the core holder, and an inner cavity of the core holder is connected with an annular pressure pump. The method has the advantages that the change of chemical components of the fracturing fluid in the sample before and after imbibition and reverse drainage of the fracturing fluid can be accurately and quantitatively analyzed.