137 results about "Profile analysis" patented technology

The invention relates to the technical field of surface measurement, in particular to a road surface flatness rapid detection method based on a laser radar, which comprises the following steps: collecting vehicle attitude data to form a three-dimensional vector, mapping laser data to a space coordinate system, identifying a projection difference adjustment track, detecting a disturbance generation distribution area, and transversely distributing a translation direction line. Uniformly projecting to construct a reference line, extracting an echo and time index recombination time sequence segment, analyzing a point number trend to screen a stable segment, and extracting symmetric points to compare an included angle to generate a closed zone. According to the method, the attitude vectors of the vehicle in rolling, pitching and yawing states are obtained, the laser echo distance measurement data are mapped to the absolute space coordinate system, and the included angle difference between the distance measurement direction and the ground direction is accurately calculated, so that the space matching precision of a measurement path is remarkably improved, and a longitudinal section analysis result is closer to a real road state; and the space integrity, the track smoothness and the section structure rationality of the whole measurement process are comprehensively optimized.

The invention relates to the technical field of data processing, and discloses a seawall feature information extraction method and system based on multi-source remote sensing data. The method comprises the following steps: carrying out wave band combination enhancement, geometric correction and radiation correction on a multi-source remote sensing image to obtain standardized data; extracting a seawall target by using multi-scale segmentation; recognizing structural features through profile analysis and spectrum matching; calculating vegetation indexes and texture features to obtain ecological information; establishing a precision evaluation system; and finally constructing a feature information database. Through the technical means of multi-source data fusion processing, multi-scale feature extraction, ecological feature evaluation and the like, the precision and efficiency of seawall feature information extraction are improved, and the problems existing in the aspects of data acquisition, processing and evaluation in a traditional method are solved.

The invention discloses a code reconstruction method, system and device based on function recognition and a medium, and the method specifically comprises the steps: scanning a project file topological structure, and constructing a knowledge graph based on a code import relation and a technology stack feature; performing context enhancement by analyzing the code function description and combining with the knowledge graph to generate a code modification instruction set; based on the code modification instruction set, in combination with data stream sensitivity marking and performance portrait analysis, evaluating the target code to obtain an evaluation result; based on an evaluation result, matching a historical optimal practice mode through a graph neural network, and generating an optimization scheme which retains an original design style; by comparing abstract syntax tree differences between original codes and verified optimization schemes, only functional logic nodes are replaced, and legal code style features are reserved. According to the method, the efficiency and quality of code reconstruction and optimization are improved, and a more convenient, efficient and intelligent code processing tool is provided for software developers.

The invention relates to the technical field of agricultural management, in particular to an intelligent agricultural management system and method based on the Internet of Things. The method comprises the following steps: acquiring farmland geographic data and a farmland environment image; extracting scene feature points of the farmland environment image, and performing farmland three-dimensional modeling in combination with farmland geographic data to generate a digital twin farmland; acquiring to-be-sown seed data; analyzing development characteristics of the to-be-sown seed data to obtain to-be-sown seed development characteristic data; the development characteristic data of the seeds to be sown are imported into the digital twin farmland for sowing simulation and growth simulation, and sowing simulation data and growth simulation data are generated; and performing seeding profile analysis on the seeding simulation data to obtain a seeding profile map. According to the invention, the precision and efficiency of agricultural seeding management are improved by combining digital twinning, the Internet of Things and an intelligent simulation technology.

The invention provides a bedding structure rock finite element model reconstruction method based on a rock core digital image, and belongs to the technical field of digital rock cores, and the method comprises the following steps: S1, obtaining a gray level image of a rock sample; s2, calculating a transverse mean value of the analysis area to obtain a longitudinal gray level distribution curve; s3, applying moving average filtering and smooth filtering to obtain a smooth gray curve; s4, first-order difference is carried out on the smooth gray level curve, the position with the absolute difference value larger than a threshold value is taken as an initial stripe boundary candidate, and starting and stopping pixels, the width and the average gray level of each stripe are determined; s5, mapping each clustering label interval into a physical interval based on FEM grid partition; and S6, constructing a sample finite element model, and generating a reconstructed finite element model with real partition information. According to the method, the macrostructure features of the rock can be efficiently recognized and extracted by directly utilizing the pictures and combining gray profile analysis, and efficient and low-cost reconstruction of the finite element model of the bedding structure rock is achieved.

The invention provides a method for evaluating submarine natural hydrogen distribution and reserves, and relates to the field of submarine hydrogen energy exploration. A solution for evaluation through a numerical simulation means is provided in combination with a seabed natural hydrogen favorable zone, and before seabed observation, a potential distribution area is researched based on abnormal characteristics in combination with numerical simulation to determine a favorable target, so that the research purposes of effectively reducing exploration cost and improving detection accuracy are achieved. For the determined serpentine region, simulating material migration, deformation and heat transfer processes by constructing a continental and ocean region lithosphere model so as to obtain a mantle peridotite serpentine process and a corresponding relation between mantle peridotite serpentine and hydrogen production; through carrying out typical profile analysis on a plurality of construction units, the relationship between the crustal thickness and the serpentine quality in different environments is constructed, and finally, the distribution and the resource quantity of seabed hydrogen in a determined area are predicted.

The invention discloses a method for predicting the social distraction risk of a colorectal cancer chemotherapy patient. The method comprises the following steps: firstly, acquiring an initial sample data set of colorectal cancer chemotherapy patients, carrying out potential profile analysis and subject working characteristic curve analysis on the patients, dividing a colorectal cancer chemotherapy patient group into a group without social distraction and a group with social distraction, and defining a social distraction threshold according to group division; on the basis, performing variable screening on an initial influence factor in the initial sample data set, determining main influence factor data and a corresponding data set, and then training a constructed initial prediction model of the social distraction risk based on the main influence factor data and the corresponding data set to obtain an initial prediction model of the social distraction risk; according to the method, a fully trained social distraction risk prediction model is obtained, and the social distraction risk of the patient is accurately predicted based on the fully trained social distraction risk prediction model, so that the risk that the colorectal cancer chemotherapy patient encounters the social distraction in the treatment process can be effectively prevented in advance.

The invention relates to the technical field of ground penetrating radar data processing, in particular to a ground penetrating radar fusion inversion fine imaging method, medium and equipment, and the method comprises the steps: scanning a certain detection region through a ground penetrating radar, and obtaining an original GPR data profile; analyzing wavefront continuity of the GPR data profile, and introducing a correction factor to carry out lossless separation on the GPR data profile to obtain a reflection data profile and a diffraction data profile; constructing an inversion initial model based on the hyperbolic characteristics of the diffraction data profile; constructing an inversion objective function based on the reflection data profile and the diffraction data profile; and taking the inversion initial model as an inversion initial solution, and solving an optimization problem of an inversion objective function by adopting an L-BFGS algorithm to obtain a diffracted wave-reflected wave fusion imaging result. According to the method, the imaging effect and precision of the ground penetrating radar processing result on the tiny diffraction anomalous body can be effectively improved, the inversion imaging performance is optimized, and the practicability of ground penetrating radar fine imaging and full-waveform inversion imaging is promoted.

The invention provides a track checking interval and back protection distance detection method, which comprises a positioning extraction step, a contour combination step, a track piece identification step, a checking interval acquisition step and a back protection distance acquisition step, according to the method, a predetermined detection position is automatically positioned through profile data collected by a high-precision line laser sensor and corresponding mileage data, profile data of the position are extracted, then the profile data of the multiple line laser sensors are combined, profiles of the heads of the multiple rail pieces are automatically recognized and extracted from combined profile lines, and the accuracy of detection is improved. Due to the fact that the arrangement of the rail pieces at the preset detection position is fixed, the profiles of the guard rail head, the guard rail pair side wing rail head and the point rail can be conveniently and rapidly obtained, then the accurate checking interval value and the back protection distance value are rapidly obtained based on profile analysis and calculation, operation is convenient, detection precision is high, the calculation amount is small, and the detection accuracy is high. And a detection result can be quickly obtained on a track detection site.

The invention discloses an oil leakage detection and traceability method and system for an oil-immersed power transformer, and belongs to the technical field of transformer detection. Irradiating the surface of the transformer by adopting an ultraviolet light source with controllable power to obtain an oil leakage characteristic image of the surface of the transformer; carrying out oil leakage feature image preprocessing through graying, 3 * 3 convolution kernel Gaussian filtering, 3 * 3 weighted median filtering and a contrast-limited adaptive histogram equalization algorithm in sequence; an improved double-threshold maximum between-class variance algorithm is adopted to determine a background and a fluorescence region, and oil stains are accurately extracted through connected region analysis and texture feature screening; a diffusion main direction is determined through a gradient vector weighted voting algorithm, candidate sources are screened from an easy leakage part database in combination with a K nearest neighbor algorithm, and a final leakage source is determined through gray profile analysis and verification. Through multi-algorithm cooperation, the oil leakage detection precision and traceability accuracy are effectively improved, the method is suitable for daily operation and maintenance of the transformer, and the equipment fault risk is reduced.

The invention relates to an equivalent activation energy obtaining method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: carrying out stress profile analysis on the electronic device to obtain a target environment parameter corresponding to the electronic device, constructing a target storage environment according to the target environment parameter, carrying out long-term storage failure analysis on the electronic device in the target storage environment to obtain sensitive stress corresponding to the target storage environment, and carrying out storage failure analysis on the electronic device in the target storage environment to obtain the sensitive stress corresponding to the target storage environment. Carrying out an accelerated storage test on the electronic device based on the sensitive stress, obtaining a single activation energy parameter corresponding to the electronic device, obtaining a failure acceleration coefficient and a stress weight corresponding to the target storage environment, and obtaining the failure acceleration coefficient and the stress weight corresponding to all the target storage environments according to the single activation energy parameter and the failure acceleration coefficients and the stress weights corresponding to all the target storage environments. And obtaining the equivalent activation energy of the electronic device. The method can accurately evaluate the service life of the electronic device.

The invention discloses a forming method for a bent blade of a stamping and welding centrifugal pump, and relates to the field of centrifugal pump blades, which comprises the following steps: S1, three-dimensional modeling and plane unfolding; s2, wire cutting; s3, mold forming; s4, performing three-dimensional scanning; s5, arc analysis; s6, contour analysis; s7, clamping adaptation and gap detection; and S8, molding quality verification. According to the method, a stamping forming process and a three-dimensional scanning feedback technology system are combined, a closed-loop precision control system is formed, after stamping forming, a three-dimensional scanner is used for rapidly obtaining actual profile point cloud data of the blade, the actual profile point cloud data is compared with a design model in a high-precision mode, and profile deviation caused by springback is accurately quantified. And based on the deviation data, carrying out reverse compensation correction on the molded surface of the mold. The problems of profile out-of-tolerance and welding assembly clearance caused by springback are solved, and high-precision, high-efficiency and high-consistency manufacturing of the centrifugal pump bent blade is achieved.

The invention relates to the technical field of psychological prediction, and particularly discloses a webpage calculator construction and evaluation method for anticipated sadness occurrence probability of a family caregiver of a cancer patient, and the method comprises the steps: collecting the related data of the family caregiver and the cancer patient, determining the diagnosis standard of anticipated sadness through potential profile analysis, and evaluating the anticipated sadness occurrence probability of the family caregiver. And screening key predictive variables by using LASSO-logistic regression, constructing a predictive model, and developing an online webpage calculator based on a shiny technology. According to the method, the expected sadness risk of the family caregiver can be rapidly evaluated, the method has good distinction degree, calibration degree and clinical practicability, and a scientific basis is provided for medical staff to identify high-risk family caregivers and provide targeted support.

Described herein is a method for beam profile analysis using at least one camera. The method includes:a) at least one data acquisition step;b) at least one image compression step; andc) at least one evaluation step.

The invention discloses a landslide monitoring and early warning method based on potential sliding surface middle water content monitoring assisted by rainfall and earth surface displacement mutual verification. The method specifically comprises the following steps: S1, obtaining a real earth surface point cloud; s2, acquiring structural information of a rock core and an underground rock stratum; s3, carrying out three-dimensional geological modeling; s4, establishing a relation model of the water content and the physical and mechanical parameters; s5, inverting the initial state of the slope; s6, installing a rain gauge, simulating a rainfall process, calculating a stability coefficient, and predicting a landslide range; s7, setting an early warning threshold value; s8, installing an earth surface displacement meter and an early warning broadcast; s9, linkage early warning broadcast automatic early warning is carried out; and S10, performing mutual verification by taking moisture content early warning as a main part and taking rainfall and surface displacement monitoring as an auxiliary part. According to the method, through high-precision three-dimensional geologic modeling, 'surface-based general 'of slope profile analysis is improved; the potential sliding surface is simulated and calculated according to the mechanical behavior characteristic numerical value of the rock-soil body, and the defects that the rock-soil body is regarded as a rigid body and the sliding surface is assumed in a strip division method are avoided.

The invention discloses a hematologic tumor calming treatment and protection intervention method based on potential profile analysis, and relates to the technical field of medical treatment and health information analysis, and the method comprises the following steps: S1, constructing a multi-dimensional intervention feature data set; s2, constructing a profile analysis model according to the feature data set; s3, performing category stability verification according to a section analysis result; s4, screening an intervention reference template according to a stability verification result; s5, matching individual features according to the intervention reference template to form a preset intervention path; s6, constructing a profile-driven path execution and feedback control system by using an intervention preset path; by setting a profile response function modeling model and combining a multi-intervention feature matrix to construct a high-resolution profile function, the problem that an existing profile division model is insufficient in continuous variable processing capacity is effectively solved, the profile structure expression capacity and individual heterogeneity description precision are improved, and the profile division efficiency is improved. The method is suitable for the fine layered modeling requirement under the driving of multi-dimensional intervention features.

The invention discloses a marine clastic rock reservoir modeling method based on geological cause information, which relates to the technical field of geological modeling, and comprises the steps of collecting and preprocessing modeling data, obtaining preprocessed data, performing geological background research on a target area, performing profile analysis and interface identification on the preprocessed data, and obtaining a marine clastic rock reservoir model. Extracting and converting inclination angle information from the preprocessed data, identifying and quantifying interlayer features, generating a probability distribution constraint body, performing sequential indication modeling, and verifying, optimizing and applying the model; according to the method, multi-source data is integrated to deeply research the sea entering and sea exiting rule, an interface is accurately identified, a sedimentary facies belt is divided, a foundation is laid for reservoir analysis, dip angle information is innovatively utilized, the dip angle information is converted into a probability value and fused into sequential indication modeling, interlayer distribution is accurately simulated in combination with reservoir characteristics and a variation function, and the reservoir analysis result is obtained. And the characterization capability of the model on a complex reservoir structure is obviously improved.

The invention discloses a workpiece contour projection extraction method and system based on ordered point cloud, and is applied to the technical field of three-dimensional precision measurement. The method comprises the following steps of obtaining high-precision ordered point cloud data of a target workpiece and performing preprocessing; geometric analysis is carried out through the three-dimensional visual point cloud model, and section parameters are defined; performing rapid gridding processing on the ordered point cloud data through an efficient triangulation algorithm; calculating to obtain an intersection discrete point set of the cross section and the triangular mesh; and establishing a section plane local coordinate system and implementing two-dimensional projection transformation to obtain the contour projection of the target workpiece. According to the method, high-precision, high-efficiency and automatic extraction of the section contour of the workpiece can be realized, the actual requirements of industrial field online detection and quality control are met, and the method can be applied to scenes such as part size detection, reverse engineering, quality control and contour analysis in industrial manufacturing.

The invention discloses a method for evaluating and strengthening interface characteristics of a copper-based composite material, and relates to the technical field of copper-based composite materials. A soil solution and carbon quantum dots are prepared, and the carbon quantum dots are added into the soil solution; the method comprises the following steps: simulating a corrosion process of copper-based composite materials with different aluminum contents in soil solutions with different carbon quantum dot contents, and carrying out polarization curve and electrochemical impedance spectroscopy analysis on the corroded copper-based composite materials by adopting an electrochemical workstation to obtain charge transfer resistance and impedance modulus values of the copper alloy composite materials; meanwhile, SEM, EDS and three-dimensional surface contour analysis are combined, and the surface morphology and roughness of the copper-based composite material are obtained; according to the method, the electrochemical method and the corrosion surface characterization method are combined, the change of the surface and interface characteristics of the copper-based composite material corresponding to different matching materials can be rapidly evaluated, so that the purpose of protecting the alloy material is achieved, and aluminum and carbon quantum dots are found to be capable of synergistically promoting the protection of the copper-based composite material.

The invention relates to a bonding wire reliability evaluation method, which comprises the following steps: aiming at a plurality of different bonding wires stored based on a preset storage condition, selecting a preset number of bonding wires from the plurality of different bonding wires as sample bonding wires, and obtaining storage result data of each sample bonding wire; carrying out profile cutting on the welding spot of each bonding wire and then carrying out profile analysis to obtain profile analysis data of each bonding wire; and determining a reliability evaluation result of the bonding wires based on the storage result data of each sample bonding wire and the profile analysis data of each bonding wire. According to the invention, the reliability of the bonding wire can be evaluated so as to ensure that the integrated circuit chip has normal signal transmission performance and electrical performance, and the production effect of the integrated circuit chip is improved.

The invention discloses a line laser 3D contourgraph working method integrating various stray light suppression algorithms, and the method comprises the steps: constructing a stray light sensitivity weight map based on a multi-exposure image sequence through the combination of a deep convolutional neural network and a point spread function; guiding Gaussian Laplacian pyramid adaptive filtering by using the weight map, and adjusting the filtering intensity by using a residual stability index to generate a purification intensity image; performing one-dimensional profile analysis based on the purified image and the original height map, calculating a morphological distortion index, extracting an energy concentration ratio through three-level wavelet packet decomposition, and triggering morphological restoration; performing center line extraction and motion blur correlation degree calculation on the repaired image, and performing anisotropic smoothing on the height map when a threshold value is exceeded; and registering the processed multi-frame height map, constructing geometric fidelity as a feedback driving genetic algorithm to optimize an initial parameter, and restarting a whole process until the fidelity meets a precision requirement. According to the invention, the precision of 3D imaging is improved through various stray light suppression algorithms.

The invention discloses a mixed DNA (deoxyribonucleic acid) map correlation analysis method based on STR (short tandem repeat) genotyping and a probability model, which comprises the following steps of: 1, determining the number of contributors of each STR map according to data feature information of N maps; 2, mutually exclusive propositions Hp and Hd are set, Hp represents that common contributors exist among the N mixed maps, and Hd represents that no common contributors exist among the N mixed maps; 3, calculating the frequency of the candidate genotype combination and the probability of occurrence of the peak height combination; step 4, calculating the likelihood ratio LRcommon of common contributors among the maps; 5, mutually exclusive propositions H1 and H2 are set, H1 is a reference individual which is a common contributor among the N mixed maps, and H2 is an unknown irrelevant individual which is a common contributor among the N mixed maps; 6, calculating a likelihood ratio LR, and obtaining a conjoint analysis result according to the LR; the method is suitable for conjoint analysis of different biological samples in the same case or among different cases, and systematicness and scientificity of mixed DNA map analysis are improved.

The application provides a bearing health state online evaluation method and system based on morphological profile analysis and federal evolution hypergraph, aiming at solving the problems of poor model self-adaptability, difficult cross-device knowledge migration and easy to be submerged early weak fault characteristics of the prior art under dynamic working conditions. The method captures the geometric profile evolution of bearing micro-damage by constructing a morphological multi-scale profile feature extraction engine, topologically preserving morphological decomposition of the vibration signal; adopts a Bayesian Poisson online learning algorithm to realize dynamic threshold adaptive updating and early warning of the health index; introduces an evolutionary hypergraph neural network to model the high-order multi-element fault propagation relationship between the bearing and the adjacent components; finally, through a federal edge collaborative framework, the incremental aggregation and knowledge migration of the cross-device model are realized under the premise of protecting data privacy. The application significantly improves the robustness of bearing fault diagnosis under variable working conditions and the sensitivity of early warning, and provides a lightweight and evolving solution for intelligent operation and maintenance in distributed industrial scenarios.

A method for managing collection of assets includes obtaining, using an action optimization manager, debtor information, associated with a set of debtor devices each executing on a computing device, from a data source, generating a set of state spaces based on debtor attributes of the debtor information, wherein each of the set of state spaces is a vector comprising debtor features obtained from the debtor information, applying an action-reward analysis on the set of debtor devices using the set of state spaces to generate state-action values for each of the set of debtor devices, applying, using the state action values, a profile analysis to obtain, for each of a set of collection devices, a debtor portfolio, and implementing collection actions based on the debtor portfolio for each of the set of debtor devices.

Techniques are provided for implementing liquid tolerance for a touch device. A sensor array of the touch device is scanned to generate response signals. In response to a response signal exceeding a touch threshold, a signal profile analysis is performed. The signal profile analysis includes sorting the response signals according to ascending order of delta positions to generate sorted signals. An extended vector of the sorted signals is formed. The extended vector of the sorted signals is analyzed using a fitted curve. In response to a feature of the fitted curve satisfying a criteria, the response signal is reported as a touch event. In response to the feature not satisfying the criteria, the response signal is rejected as a false touch.

An object of a system according to an embodiment is to analyze profile information and a desired condition of a user and perform optimal matching.SOLUTION: A system according to an embodiment includes a profile analysis unit, a matching unit, a communication support unit, a date plan suggestion unit, an advice providing unit, and a feedback collection unit. The profile analysis unit analyzes the profile information and the desired condition of the user using the generated AI. The matching unit performs optimum matching based on the profile information analyzed by the profile analysis unit and the desired condition. The communication support unit supports communication between the users matched by the matching unit. The date plan proposing unit proposes a date plan based on the desire or interest of the user. The advice providing unit provides the user with advice related to love and excitement. The feedback collection unit collects feedback from users to help improve the service.SELECTED DRAWING: Figure 1

A detector (110) for determining at least one material property of at least one object (112) is proposed. The detector (110) comprises: - at least one projector (116) configured to illuminate the object (112) with at least one illumination pattern (118) including a plurality of illumination features (120); - at least one first camera (122) having at least one first sensor element, the first sensor element having a matrix of first optical sensors, each first optical sensor having a photosensitive area, each first optical sensor designed to generate at least one sensor signal in response to illumination of the respective photosensitive area by a reflected light beam propagating from the object (112) to the first camera (122), the first camera (122) configured to capture at least one first reflected image comprising a plurality of first reflected features generated by the object (112) in response to illumination by the illumination features (120), the first camera (122) being arranged such that the first reflected image is captured in a first line of sight direction relative to the object (112); at least one second camera (124) having at least one second sensor element, the second sensor element having a matrix of second optical sensors, each second optical sensor having a photosensitive area, each second optical sensor designed to generate at least one sensor signal in response to illumination of the respective photosensitive area by a reflected light beam propagating from the object (112) to the second camera (124), the second camera (124) being configured to capture at least one second reflected image comprising a plurality of second reflected features generated by the object (112) in response to illumination by the illumination features (120), the second camera (124) being arranged such that the second reflected image is captured in a second line of sight direction relative to the object (112), the second camera being different from the first line of sight direction and the second line of sight direction; - at least one evaluation device (126) configured to evaluate the first and second reflected images, the evaluation comprising matching the first and second reflected features and determining combined material properties of the matched pair of first and second reflected features by analysis of their beam profiles; Equipped with.

The present application relates to the technical field of data processing, and discloses a method and system for extracting seawall feature information based on multi-source remote sensing data. The method includes: obtaining standardized data by performing band combination enhancement, geometric correction, and radiometric correction on multi-source remote sensing images; extracting seawall targets using multi-scale segmentation; identifying structural features through profile analysis and spectral matching; calculating vegetation indices and texture features to obtain ecological information; establishing an accuracy evaluation system; and finally constructing a feature information database. The present application improves the accuracy and efficiency of seawall feature information extraction through technical means such as multi-source data fusion processing, multi-scale feature extraction, and ecological feature evaluation, and solves the problems existing in data acquisition, processing, and evaluation of traditional methods.

Techniques for achieving liquid tolerance of a touch device are provided. A sensor array of the touch device is scanned to generate a response signal. Signal profile analysis is performed in response to a response signal exceeding the touch threshold. The signal profile analysis includes ranking the response signals according to an ascending order of incremental locations to generate ranked signals. An extension vector of the ordered signal is formed. The spread vector of the ordered signal is analyzed using the fitted curve. A response signal is reported as a touch event in response to the characteristics of the fitted curve satisfying the criteria. In response to the feature not satisfying the criteria, a response signal is rejected as a false touch.

The application discloses a straight line inspection method and system for visual positioning, and relates to the technical field of image processing. The method comprises the following steps: setting a search area according to the expected direction of a straight line, performing binarization and line segmentation in parallel to obtain a binary image and a line segmentation image; performing contour screening, candidate line segment fitting and collinear connection on the line segmentation image to obtain a line connection image; extracting the longest contour and fitting to obtain the end points of the straight line; combining the binary image, performing systematic sampling along the normal direction of the straight line, calculating the line width through profile analysis, and identifying the defects of broken line, too thin and too thick; and finally, quantitatively evaluating and automatically determining the effective length, the average line width and the defect proportion according to the preset quality standard. The method can screen reliable and complete straight line features for high-precision visual positioning, and significantly improves the robustness and practicability of the industrial visual system in complex scenes.