71 results about "Digital analysis" patented technology

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

The invention provides a method and system for identifying an omissive hydrocarbon reservoir of an old oil field based on rock debris and optical fiber monitoring, and the method comprises the steps: carrying out the multi-mode digital analysis of the stock rock debris of a target well of the old oil field, and obtaining the rock physical characteristic parameters of the rock debris; the method comprises the following steps: obtaining stratum dynamic response parameters through a distributed optical fiber sensing system arranged in a sleeve of a target well of an old oil field in advance; historical logging data of the target well of the old oil field are called, and standardization processing is conducted on the historical logging data to obtain a historical logging parameter set; static errors of a historical logging parameter set are corrected through rock physical characteristic parameters, and real-time dynamic constraints are provided through stratum dynamic response parameters; according to the type characteristics of the reservoir where the target well of the old oil field is located, the corresponding multi-parameter fusion identification method is adopted to obtain the position of the missing oil and gas reservoir, and the accuracy and reliability of missing oil and gas reservoir identification are improved.

The invention relates to a pipeline elongation calculation method and system and a storage medium, and the method comprises the steps: sequentially carrying out the digital analysis, image enhancement and noise elimination processing of an input pipeline drawing, and improving the quality and consistency of original data; geometric parameters, text annotations and scale information are extracted by using an AI recognition model, and a mapping relation between a pixel coordinate system and a physical world coordinate system is established, so that automatic and intelligent extraction and structuring of engineering information are realized; constructing a three-dimensional parameterized model of the pipeline system based on the structured data, and forming a digital twin fusing geometric and material attributes; according to the method, thermal expansion calculation is carried out on each feature unit in the model based on the thermodynamic principle, correction is carried out according to the coupling relation between the feature units, accurate simulation is achieved, full-automatic digital closed loop from drawing recognition to result output is achieved, the problems that manual operation is low in efficiency and prone to making mistakes are solved, and the method is suitable for large-scale popularization and application. And the accuracy, the reliability and the engineering applicability of the calculation of the pipeline elongation are obviously improved.

The invention discloses a geothermal resource assessment method and system based on big data analysis, and is applied to the technical field of digital analysis. The method comprises the following steps of obtaining multi-source heterogeneous data of historical drilling engineering, performing data preprocessing and feature engineering, and establishing a drilling success probability intelligent prediction-risk quantification model; in combination with geospatial information and environmental multi-source data, identifying an earth surface thermal anomaly region as a target region to perform geothermal potential assessment, and completing preliminary grading assessment of the target region; integrating seismic active band high-frequency monitoring data, inverting deep structure features by using a seismic wave velocity tomography technology, and performing multi-mode correlation matching with a target region; the coupling model realizes accurate evaluation and grading screening of a target region; and constructing a geothermal target area digital twinborn model fused with geologic and geophysical constraints, and realizing dynamic evaluation and productivity prediction of geothermal resources. Automatic geothermal resource evaluation is achieved, and efficient development and reasonable utilization of geothermal resources are promoted.

The application discloses a traffic management platform construction method and device and a traffic management method and system, acquires traffic basic data and carries out digital analysis to construct a traffic management semantic library, constructs a traffic management element periodic table from the semantic library, and the traffic management element periodic table is composed of various preset traffic management elements and traffic basic data corresponding to each type of traffic management element; the traffic management element is randomly combined to generate a corresponding traffic management scene library; the traffic management scenes in the traffic management scene library are randomly combined to generate a traffic management business library; and the traffic management platform for digital traffic management is constructed according to the traffic management semantic library, the traffic management element periodic table, the traffic management scene library and the traffic management business library, so that the programmable and calculable traffic management full chain can be realized, and templates and demonstrations can be provided for the construction of traffic management command centers in various places.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

The invention discloses a controllable nanorod array SERS (Surface Enhanced Raman Scattering) chip-based digital detection device for a serous ovarian cancer exosome phenotype as well as a detection method and application thereof, and relates to the technical field of biological detection. The device comprises a controllable nanorod array module, a high-sensitivity SERS probe module, an integrated microfluidic platform module and a digital analysis module. The controllable nanorod array module is used for accurately capturing a single exosome; the SERS probe module realizes specific recognition of multiple biomarkers on the surface of the exosome by conjugating a specific antibody and a Raman reporter molecule; the micro-fluidic platform module integrates filtering, reaction and imaging functions, so that high-throughput and automatic detection is realized; and the digital analysis module completes qualitative and quantitative analysis of exosome phenotypes. The problems that a traditional detection technology cannot analyze the phenotype difference of single exosomes, the sensitivity is low and the flux is insufficient are solved, early accurate diagnosis of the serous ovarian cancer can be achieved, and the kit has wide clinical application prospects.

A computer-implemented method for characterizing a heterogeneous material comprising dispersed components, particularly particulate components, dispersed within a continuous phase of a condensate comprises the steps of: a) providing or selecting a sample of the heterogeneous material to be analyzed; b) acquiring at least one digital image of the sample by a camera of a computing device, particularly a mobile computing device, or by a camera connected to a computing device, particularly a mobile device, and / or by reading into the computing device at least one digital image previously recorded by a stand-alone camera; and c) determining the following characteristics: size parameters, particularly granularity parameters, shape parameters, and the like, determined by image analysis in the at least one digital image. performing image analysis, in particular image particle analysis, of at least one digital image to extract one or more of the following characteristics: particle shape parameters, in particular particle distribution, orientation parameters, in particular particle orientation parameters, surface parameters, in particular particle surface parameters, roughness parameters, in particular particle roughness parameters, packing density, uneven distribution parameters, color, and / or area fraction of components, in particular particulate components; and / or area fraction of continuous phases identified by image analysis in the at least one digital image; d) making one or more of the extracted characteristics in step c) available via a user interface, via a machine interface, and / or on a data storage medium.

The application relates to the field of production line monitoring, in particular to a beverage production line intelligent monitoring method and system based on digital analysis, which performs image acquisition on a product to be detected on a production line, acquires N product top views, and obtains a product segmentation image corresponding to each product top view; the N product segmentation images are superimposed to obtain one superimposed image; according to a first target area image and a second target area image divided in the superimposed image, a reference product area image and an error area image are determined; according to pixel points in the reference product area image, the error area image and the first target area image, abnormal monitoring and early warning are performed on the product to be detected; abnormal scoring is performed according to the reference product area and the error area; abnormal evaluation is performed from two directions of horizontal and vertical dimensions; compared with a conventional mode, abnormal conditions influencing the operation of the production line can be more accurately analyzed, so that the accuracy of intelligent monitoring of the production line is improved.

The invention relates to the technical field of power testing, and discloses a converter transformer bushing discharge analysis method, system and device based on multi-physics field data fusion. The invention aims to solve the technical problems that the traditional observation means cannot go deep into the discharge process and the internal mechanism is difficult to reveal. According to the method, a multi-physical field combined observation and analysis framework is constructed, and an instantaneous and irreversible complex physical discharge process is converted into a four-dimensional digital image which can be played back, analyzed and quantized. The core of the method is that a plurality of discrete and mature inversion reconstruction algorithms are integrated under a unified space-time reference for collaborative data processing for the first time. An omnibearing and high-fidelity digital analysis tool is provided for researching the high-voltage discharge physical process, and the depth and efficiency of discharge experiment research are remarkably improved.

A system and method for the use of digital analysis to filter out extraneous light are disclosed. The system may include a light source to emit a light beam in a smoke detector. The system may include a first light sensor in the smoke detector to receive a reflected light beam corresponding to the light beam reflecting off a smoke particle. The system may include a second light sensor in the smoke detector to receive a noise light corresponding to ambient light in the smoke detector. The system may include a control circuit. The control circuit may be to receive the reflected light signal from a first light sensor indicative of the reflected light beam and to receive a noise signal from the second light sensor indicative of the noise light. The control circuit may be to reduce noise from the reflected light signal based on the noise signal.

The invention generally relates to droplet based digital PCR and methods for analyzing a target nucleic acid using the same. In certain embodiments, a method for determining the nucleic acid make-up of a sample is provided.

The application discloses a landscape gene identification method based on machine learning, relates to the technical field of machine learning and data science, and comprises the following steps: constructing a multi-level landscape gene classification architecture, pre-training a machine learning model based on the multi-level landscape gene classification architecture, and obtaining a landscape feature identification model; then, acquiring landscape element data corresponding to a to-be-identified landscape, calling the landscape feature identification model to analyze the landscape element data, and obtaining a landscape index identification result; then, taking the landscape index identification result as the basis, acquiring a first landscape gene identification result by using a feature deconstruction method, acquiring a second landscape gene identification result by using a prototype-variation theory, and acquiring a third landscape gene identification result by using a digital analysis strategy; and finally, taking the three results as a target landscape gene identification result, so that the efficiency and accuracy of landscape gene text identification and extraction are improved, and the application of the landscape gene is facilitated.

The present application provides an integrated droplet chip and a droplet multi-index detection method therefor and belongs to the technical field of digital PCR analyzers. The chip comprises a chip body, the chip body being constructed with at least one set of one-to-many mixing and reaction structures, a droplet generating structure and a fluorescence detection area, and each of the one-to-many mixing and reaction structures comprises: a primary reaction chamber, used for performing primary amplification, so that a detection sample with a first concentration in the primary system is amplified to form a detection sample with a second concentration, wherein the second concentration is higher than the first concentration; a plurality of sampling chambers; and the plurality of sampling chambers are controllably connected to the same primary reaction chamber at the same time; a plurality of secondary reaction chambers, which are controllably connected to the plurality of sampling chambers in a one-to-one correspondence, are used to store the droplets generated by the detection sample of the second concentration and the secondary system at the droplet generating structure and perform secondary amplification. The present application effectively increases the concentration of the detection sample. The detection sample having the increased concentration is divided into more detection samples to ensure that each detection sample has a relatively high concentration, thereby achieving multi-index detection of a low-concentration sample, ensuring the sensitivity of sample detection, and improving the accuracy of detection results.

The invention discloses a multi-modal real-time semantic segmentation intelligent analysis method and device based on a cultural relic model, and relates to the technical field of cultural relic digital analysis. Performing hierarchical labeling on the semantic information of the multi-modal data on the basis of three-dimensional space feature coding and cross-modal projection; based on a parameter fine tuning mode of spatial perception, realizing adaptation of a large language model to multi-modal data, and according to high-dimensional semantic embedding of a deep neural network, performing unified vector space representation on the multi-modal data to realize construction of a multi-modal knowledge base index; and based on a retrieval enhancement generation technology and in combination with the constructed multi-modal knowledge base index, realizing and applying the cultural relic three-dimensional model intelligent question-answering system. According to the invention, a more efficient, accurate and convenient intelligent solution can be provided for historical and cultural heritage research.

The invention relates to a system for operating a physical measuring chain, which has a plurality of physical measuring elements at a measuring location; the physical measuring elements comprise at least one physical sensor, at least one physical transmission device and at least one physical evaluation unit; wherein an identification code is detected from each physical measuring element; wherein a data network transmits the detected identification codes to a data processing unit which is remote from the measuring location; wherein the data processing unit has at least one software and measuring element data; wherein the software reads the measuring element data for the transmitted identification codes and generates therefrom a digital measuring chain, which has at least one digital sensor, at least one digital transmission device and at least one digital evaluation unit; and wherein the data network transmits the digital measuring chain to a computer unit which is located at the measuring location.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

The invention discloses a cigarette smoke component analysis method with an aroma sensory characteristic portrait as a guide. The cigarette smoke component analysis method comprises the following steps: S1, performing targeted quantitative detection on cigarette smoke components; s2, classifying compounds according to a quantitative detection result; and S3, drawing a smell profile diagram according to a calculation result. From the perspective of cigarette sensory analysis, cigarette smoking aroma characteristic portraits (digital analysis results) are taken as research and development guidance, and aiming at very complex cigarette smoke detection results, smell effect parameters such as compound aroma types, compound smell threshold values, source attributes (tobacco leaf transfer, smoke combustion and external source addition) and the like are subjected to quantitative analysis, so that the cigarette smoking aroma characteristic portraits and the cigarette smoking aroma characteristic portraits are obtained. As a technical link for communication between smoke detection compounds and sensory characteristics, a smell analysis method of a cigarette smoke detection result is constructed by drawing a cigarette smell profile diagram and an exogenous additive smell profile diagram, so that visual evaluation of cigarette smoke smell characteristics is realized; and a support is provided for sensory quality control of cigarette products and source tracing of exogenous additives.

The application discloses a refrigeration system fault determination method, device, equipment and medium, and relates to the technical field of refrigerator control. The scheme establishes a global fault diagnosis determination mode for the refrigeration system, converts the operation parameter fault determination problem of the refrigeration system into an operation parameter constraint optimization solving problem, considers the overall operation level of the refrigeration system, thereby avoiding the fault diagnosis of a single device of the refrigeration system, and is more suitable for actual engineering. The refrigeration system fault is positioned in a digital analysis mode, and the goals of reducing the operation energy consumption of the refrigeration system, guaranteeing the operation performance and safety of the system, guaranteeing the temperature requirement of a production process, and improving the equipment maintenance measurement and fault finding and repairing efficiency can be achieved.

The application relates to the field of droplet microfluidic digital analysis and detection, in particular to application of a crescent microsphere in digital polymerase chain reaction. The application provides a crescent microsphere, the inner diameter and the outer diameter of which can be adjusted according to specific experimental requirements. The application uses a method of double aqueous phase to prepare a special crescent-shaped hydrogel structure. The cavity of the crescent-shaped structure can accommodate a certain volume of aqueous phase, thereby reducing the repulsion effect of microsphere-water molecules in the pure spherical hydrogel microsphere, so that the liquid droplet formed based on the crescent structure has a larger polymerase chain reaction space. When the crescent microsphere is used in polymerase chain reaction, fluorescent intercalating dyes can mark positive droplets with targets and negative droplets without targets, the proportion of the positive droplets is counted, and in combination with Poisson distribution, more accurate digital quantification of the initial sample can be obtained.

In a digital analysis of chewing, based on feedback principles and preferred optical marker position recognition, the interdependent movement patterns of maxillary and mandibular teeth are analyzed using bidirectional synchronization of tactile and motion image acquisition technologies, and their movements are recorded by a camera system. The camera system preferably integrates at least two systems, one on the right side of the mouth / face and the other on the left side, or one system is centered relative to the facial centerline. Each system has at least one (preferably three) camera, including at least one and preferably two monochrome or color cameras with a minimum resolution of 2.3 Mpx and a high frame rate of at least 1000 frames per second (FPS), equipped with dedicated optics / lenses, and at least one high-resolution and low-frame-rate color camera with a minimum resolution of 12 Mpx and a minimum frame rate of 25 FPS, capable of recording markers (M1) indirectly fixed by positioning patterns, or markers directly / independently (M2 – preferably using IPA technology) affixed to the veneer surface of the crown of the maxillary natural / artificial tooth, and markers independently affixed to the veneer surface of the crown of the natural / artificial tooth. Because of the connection between the camera and the trigger card, their operation is synchronized in time and is responsible for recording the position / movement of the upper crown with M1 and / or M2 markings relative to the lower crown with M1 and / or M2 markings, as well as the position / movement of the upper and lower crowns with M1 and / or M2 markings relative to the alveolar bone of the upper and lower jaws and the patient's face with M2 markings, the markings being affixed to facial feature anatomical points. This is all recorded synchronously in video film technology, and then the 3D scans of the upper and lower teeth with M1 and / or M2 markings are stitched into the video film, wherein the scans are obtained through intraoral or extraoral scanning technology. Furthermore, it can convert the repositioning of M1 and / or M2 markers. Movements during patient chewing assessment are recorded by a camera system, and the captured images are transcribed into a software environment. Digital acquisition of data from the M1 and / or M2 optical markers is submitted for further analysis in the software environment, enabling the conversion of these marker repositionings into the number of collisions between the upper and lower crowns, on which M1 and / or M2 markers are fixed. This is preferably read by a tactile device, preferably a tactile manipulator, to map / control the repositioning caused by these collisions via vibrations at a frequency between 1 and 4 kHz. The above arrangement enables the tracking of the amplitude of height changes in the collision angle, which is above / below 10 degrees between the upper and lower crown pairs with M1 and / or M2 markers, within a set time unit, divided into time intervals, preferably 0.001 seconds. Along the path of each movement phase / chewing cycle, the number of vibrations of the tactile manipulator during the set time unit represents the contact / collision moments of these crown pairs with M1 and / or M2 markers. The pattern on the crown of the natural / artificial tooth positioned on the implant consists of two separable components, including a prefabricated external component that extends out of the mouth and an internal component.The external component has at least three markings at its tip. The internal component is individually designed and customized to fit the veneer surface of the patient's tooth crowns. The digital chewing recorder, located within a single housing, simultaneously records the three-dimensional shape of the face from either the right or left side. Two sets of cameras are located at the two ends of the arched opening, independently or simultaneously recording both sides of the patient's mouth and face, as well as the visual markings M1 and / or M2 fixed to the crowns of the upper and lower teeth. Each camera set includes three cameras spaced at predetermined distances. Each set has two monochrome or color cameras with a maximum resolution of 2.3 Mbps and a high frame rate of at least 1000 FPS, equipped with dedicated optics / lenses, and one color camera with a minimum resolution of 12 Mbps.

The invention relates to a traditional Chinese medicine vertigo dialectical quantitative evaluation method and system, and belongs to the crossing field of traditional Chinese medicine intellectualization and medical information technology.The method comprises the steps that a four-diagnosis information separation and collection module is used for obtaining a structured inquiry scale and a standardized observation and sniffing diagnosis code from a patient end and a doctor end respectively, and tongue and pulse information is generated based on digital analysis; converting the symptoms into quantitative scores by utilizing a dynamic quantization and assignment engine and combining a rule for improving the data weight of a doctor end; through an intelligent dialectical decision core, a hierarchical dynamic diagnosis threshold value is adopted to judge definite diagnosis, clinical diagnosis, facultative syndrome and syndrome tendency levels, a conflict arbitration mechanism with tongue pulse as an excellent is set, and a dialectical result is output; a parallel safety early warning path is integrated, inquiry keywords are scanned in real time to trigger emergency treatment alarms, objectivity of traditional Chinese medicine sign information is improved fundamentally, quantitative score assignment and intelligent decision making are combined, and the core pain points that traditional Chinese medicine dizziness is high in subjectivity and insufficient in standardization are systematically solved.

The invention provides a community micro-brain digital analysis system and method for urban governance, and relates to the technical field of urban community governance, and the method comprises the steps: collecting multi-source heterogeneous data of urban community public facilities, constructing a facility digital model in a community micro-brain system, and recording health reference data; detecting according to a preset period through the digital sensor network of the key part of the facility to obtain a waveform sequence reflecting the internal state change; through comparison with health reference data, a waveform change rule is identified, a state change track is established, and a health quantitative index is generated according to a waveform attenuation degree and morphological distortion characteristics; and the system performs multi-dimensional correlation analysis on the indexes and the multi-source heterogeneous data, generates a treatment strategy containing maintenance priority and resource allocation suggestions, transmits the treatment strategy to a community management platform to form an allocation scheme, and displays the full-life-cycle state of the facility in a digital model, so that the full-life-cycle intelligent monitoring and treatment optimization of the community facility can be realized.

This application relates to the field of aviation digital analysis technology, specifically to a data processing method for digital quality management in the aviation industry. The method includes: constructing a dependency graph based on the data source information included in the metadata of data processing units within a first data processing unit set; determining the correlation between data processing units based on data extracted from instantiated data processing units to obtain an updated dependency graph; and removing redundant items from the original data source after grouping to obtain a second data processing unit set and thus the data processing result. This method manages the first data processing unit set in the form of a dependency graph through metadata and correlation analysis, and allows access to the original data source to be implemented by the second data processing unit set, thereby reducing redundant data acquisition, optimizing data access patterns, and solving the data redundancy problem in digital quality management in the aviation industry.

The invention discloses a wine brewing rice hull quality digital analysis and discrimination system and method, and relates to the technical field of wine brewing auxiliary material quality analysis and evaluation, and the system comprises a flavor analysis module, a texture analysis module, a data processing module and a quality digital discrimination module. According to the method, GC-IMS flavor detection and texture analyzer quantitative analysis are introduced into wine brewing rice hull quality evaluation for the first time, multi-dimensional and multi-view quality scientific characterization is achieved, the blank of a traditional evaluation technology is filled up, a rice hull quality digital judgment model is constructed based on machine learning, and the evaluation accuracy is improved. Sensory evaluation depending on experience is converted into a quantitative index system based on flavor composition and texture characteristics, objective analysis and data-driven evaluation of rice hull quality are achieved, the bottleneck of traditional evaluation timeliness and precision is broken through, the efficient and accurate screening requirement is met, a scientific foundation is laid for accurate regulation and control and raw material management and control of the rice hull steaming process, and the method is suitable for large-scale popularization and application. A new technical support is provided for guaranteeing the fermentation stability and the flavor consistency of the wine body.

The invention discloses a digital analysis method and device for a purchase process, and the method comprises the steps: collecting a historical purchase information text of an enterprise, analyzing the purchase process in the historical purchase information text, determining the process levels of different purchase processes and corresponding level task blocks, and combining the word frequency of each word in corpus information in the level task blocks, constructing a hierarchical task keyword set of each hierarchical task block, analyzing the association degree of each hierarchical task block, and giving association features among the hierarchical task blocks; performing analysis and calculation on the association features among the hierarchical task blocks, and determining an association restriction relationship among the hierarchical task blocks in combination with the time restriction features among the hierarchical task blocks; and determining the priority of the hierarchical task blocks by combining the problem probability and the time sensitivity of the hierarchical task blocks according to the association restriction relationship among the hierarchical task blocks, integrating and deploying the hierarchical task blocks, completing the analysis of the purchasing process, and realizing the improvement of the purchasing execution efficiency.

The invention generally relates to droplet based digital PCR and methods for analyzing a target nucleic acid using the same. In certain embodiments, methods of the invention involve forming sample droplets containing, on average, a single target nucleic acid, amplifying the target in the droplets, excluding droplets containing amplicon from the target and amplicon from a variant of the target, and analyzing target amplicons.

This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

This disclosure provides for devices, methods, and systems for performing a non-invasive prenatal testing (NIPT) digital assay upon generating at least a large number of counts per chromosome for a set of chromosomes present in a sample, where performing the NIPT digital assay can include: distributing nucleic acids of the sample and materials for an amplification reaction across a plurality of partitions; amplifying the nucleic acids with the materials, within the plurality of partitions; and generating counts per chromosome upon detecting signals from the plurality of partitions. The inventions enable processing of samples for NIPT digital analyses and / or other digital analyses involving other loci of interest, with unprecedented partitioning, reaction, readout, and analytical performance.

The application discloses a kind of textile fabric digital analysis method, steps include: collecting textile fabric front, back high-definition image, and carry out gray processing;Based on gray image, the ROI initial selected area of fabric texture is extracted;Obtain the copy of ROI initial selected area and determine the offset of copy relative to initial ROI area by template matching method, and then obtain the ROI revised selected area as the basic unit of textile fabric digital analysis;Marked image is obtained by using the trained deep learning yarn structure image recognition model to identify yarn structure and determine the type of textile fabric;The yarn structure on the marked image is mapped to the loom weaving diagram template corresponding to the fabric type, and the loom weaving schematic diagram of the fabric is obtained;The method has low operation difficulty, different types of fabric weaving process are analyzed by introducing traditional image processing and deep learning neural network, and the loom weaving schematic diagram can be directly obtained, the accuracy and work efficiency of fabric analysis link are improved.