48 results about "Dimension measurement" patented technology

This invention discloses a multi-vision method for measuring the dimensions of small workpieces based on a binocular vision system, belonging to the field of workpiece dimension measurement technology. Addressing the difficulty in achieving accurate three-dimensional dimension measurement using existing methods, the following solution is proposed, comprising the following steps: S1: Chessboard corner point extraction; S2: Calibration plate removal; S3: Plane fitting; S4: Vertex extraction; S5: Stereo matching algorithm; S6: Dimension calculation. The average absolute error of this invention at different angles is 0.33 mm, the total relative error is 0.90%, and the variance is less than 0.01 mm. 2 This enables relatively accurate measurement of the three-dimensional dimensions of small workpieces from multiple perspectives.

The utility model discloses the technical field of machining measurement device, more specifically discloses a kind of for the size measurement tool of incomplete circle, comprising: tool main body, detachably set on part;Compensation component, set on tool main body, can be synchronous with the arc to be processed Machining;Wherein, the straight line of the center of the arc to be processed of compensation component and arc to be processed can pass through arc to be processed;Measuring component is used to measure the diameter between compensation component and arc to be processed;By using the utility model, arc can be measured in real time during processing, cancel the use of radius gauge and three-dimensional coordinate instrument;Greatly reduce the difficulty of real-time measurement arc actual size in part processing process, improve the arc size measurement stability and accuracy, can effectively improve the product quality and stability of part.

The invention belongs to the technical field of testing and measuring, and particularly relates to a fastener size measuring method and system based on a structured contour line. The method comprises the following steps: placing a calibration block on a detection platform for image acquisition, and taking an upper edge line of the calibration block as a reference line; the calibration block is taken down, and the fastener is placed on a detection platform for image acquisition; extracting a plurality of feature points from the outer contour of the fastener image, calculating a symmetric line for representing the symmetry axis of the fastener, and correcting the outer contour line of the image based on the symmetric line; according to the corrected outer contour line, a cylindrical surface outer contour straight line and a conical surface outer contour straight line of the fastener are determined, and two intersection points of the cylindrical surface outer contour straight line and the conical surface outer contour straight line on the left side and the right side of the fastener are calculated respectively; determining the distance from the midpoint of the connecting line of the two intersection points to the datum line; and determining the processing precision of the fastener according to the distance and a preset distance threshold value. According to the invention, the measurement precision of the dimension of the fastener is improved.

The invention discloses an intelligent tension wire device for high-rise building reference transmission and an offset monitoring method, and relates to the technical field of high-rise building construction surveying and mapping, the device comprises a reference fixing mechanism, a tensioning mechanism, a multi-source surveying and mapping data acquisition module, a data processing module and a data output module; according to the invention, the GNSS real-time dynamic surveying and mapping module, the inertial measurement unit and the linear array CCD visual surveying and mapping sensor are integrated to construct a multi-source surveying and mapping data acquisition system, multi-source data fusion is realized in combination with a Kalman filtering optimization algorithm, the problems of single-dimensional measurement and large error in the prior art are solved, full-dimensional coverage and high-precision measurement of tension wire offset are realized, and the measurement precision is improved. Through real-time calibration of a data processing module and a high-rise building construction coordinate system and format output of an adaptive standard, an extra data conversion step is avoided, the problems of poor data compatibility and untimely construction guidance are solved, and it is ensured that measured data can be directly used for construction regulation and control.

The invention relates to the field of dimension measurement equipment, and discloses a full-automatic dimension measurement device for a basin stand, and the device comprises a feeding mechanism which is used for directionally conveying a to-be-measured product to a detection station; the detection module is arranged on one side of the feeding mechanism, and the detection module is sequentially provided with a code scanning unit, a front face detection unit, a reverse face detection unit, a side face detection unit and a laser detection unit in the conveying direction. According to the invention, by integrating the code scanning module, the front and back visual inspection module, the three-dimensional contour scanning module and the laser thickness measurement module, the full-automatic operation process of automatic feeding, automatic detection and automatic discharging is realized, the detection speed and efficiency are improved, multiple detection functions are integrated on one device, multi-parameter and all-directional detection of products is realized, and the production efficiency is improved. The occupied area and the number of detection equipment are reduced, and the space utilization rate of a production site is improved.

The utility model relates to a vernier straight rod ruler measuring device for a wide-range inner hole, and belongs to the technical field of object dimension measurement. According to the technical scheme, one end of a ruler frame (1) is provided with a ruler frame cover plate (2) and a vernier scale (8), and the other end is provided with a second measuring head (9); one end of the main ruler body (5) is provided with a measuring head I (6), and the other end of the main ruler body (5) is slidably arranged in a space formed by the ruler frame (1), the ruler frame cover plate (2) and the vernier (8); a spring shaping rod (10) is arranged in the ruler frame (1), and a spring (11) is sleeved on the spring shaping rod (10); the main ruler body (5) is provided with a cavity (21), the spring shaping rod (10) and the spring (11) are both arranged in the cavity of the main ruler body (5), and the spring (11) moves through stretching and retracting of the main ruler body (5). The beneficial effects of the utility model are that the device is high in measurement precision, is wide in measurement range, can rapidly deal with the switching of measurement of different sizes, and improves the measurement work efficiency.

The invention relates to the technical field of steel structure measurement, discloses a high-precision steel structure geometric dimension measuring and positioning method, and aims to solve the problems that an existing measuring means is low in efficiency, limited in coverage range, poor in key feature extraction robustness, difficult to adapt to a complex field environment and lack of a real-time comparison feedback mechanism. The method comprises the following steps: deploying a multi-modal sensing system, and synchronously acquiring laser point cloud and binocular vision data; adaptive denoising and multi-view point cloud splicing are executed; fusing the visual edge and the point cloud curvature features to generate a high-confidence geometric feature set; reconstructing a local fine three-dimensional model based on a moving least square method; dynamically comparing the actual measurement model with the BIM design model to generate a full-surface deviation distribution diagram; and identifying the out-of-tolerance area and outputting a three-dimensional deviation correction instruction. By the adoption of the technical scheme, non-contact measurement and closed-loop correction with millimeter-level precision can be achieved, and the one-time success rate and the intelligent construction level of steel structure installation are remarkably improved.

A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.

This utility model discloses a non-contact dimensional measuring device for industrial parts, including a chassis. The upper end of the chassis has two symmetrically arranged electric slide rails. A second electric slide rail is connected between the sliding seats of the two first electric slide rails via a support rod. An adjustment platform is located at the front end of the sliding seat of the second electric slide rail via a support seat. An adjustment rod is slidably connected inside the adjustment platform. A rotating measuring seat is located at the lower end of the adjustment rod. The device also includes a quick-release mechanism. The quick-release mechanism includes a mounting base, a magnet, a magnet, a mounting platform, and a secondary fixing assembly. The mounting base is located at the front end of the rotating measuring seat, and the mounting platform is inserted into the mounting base. This non-contact dimensional measuring device for industrial parts can measure complex curved surfaces or three-dimensional dimensions by quickly changing sensors, eliminating the need to switch between different devices to complete multi-dimensional measurements, thus reducing manpower waste and time costs.

This invention discloses a method for measuring the outer contour dimensions of sheet metal based on contour chain corner point allocation and adjacent edge correction. The method acquires a scanned point cloud of the sheet metal to be measured and maps features such as template outer contour corner points, straight edges, and arc edges to the scanned point cloud coordinate system as a reference for outer contour feature localization. Subsequently, the scanned point cloud is projected onto a two-dimensional measurement plane, and the outer contour boundary is obtained using the Alpha Shape boundary extraction method. An ordered outer contour chain is then formed through resampling. Based on this, candidate corner points are scored for contour chain points in the neighborhood of template corner points, and global allocation is performed based on the contour order, relative distance, and directional relationship between template corner points to determine the primary positioning corner points. For corner points with excessive errors or weak features, the corner point position is further corrected based on the straight line or arc fitting results of the adjacent edges on both sides. Finally, the outer contour dimension parameters such as straight edge length, arc radius, and arc center are calculated. This method can improve the stability of outer contour corner point localization and dimension measurement of sheet metal and is suitable for automated detection of sheet metal outer contours.

One implementation provides a device and method for the simultaneous measurement of weight and dimensions of an object, enhancing efficiency by integrating these processes into a single step. One implementation encompasses a flat platform weight scale base containing load cells that ascertain the object's weight. It also features image sensors for capturing images from different angles to determine the object's length, width, and height through image analysis. The processor computes weight from load cell readings and applies image processing to assess object dimensions. This data can be displayed or transmitted, often wirelessly, for external usage, beneficial for industries requiring precise weight and size information to streamline various processes such as logistics and inventory management.

This invention relates to the field of intelligent inspection technology, specifically to a method, system, equipment, and medium for measuring the stiffeners of a train carriage in harsh environments. By deploying top-down through-beam lidar on the front and rear tops of the carriage, point cloud data inside the carriage is collected. Even if the point cloud of the stiffener itself cannot be imaged due to environmental influences, the trailing point cloud appearing on the extension line of the stiffener can still be used, combined with a multi-radar spatial geometric inversion algorithm, to accurately calculate the true three-dimensional spatial position and size of the stiffener. Based on the spatial distribution of the trailing point cloud of the multi-lidar, a multi-line intersection inversion algorithm is used to achieve three-dimensional positioning and size measurement of the stiffener, without relying on the point cloud of the stiffener itself. It has strong environmental adaptability and automation capabilities, significantly improving the robustness, efficiency, and intelligence level of train carriage structure inspection.

A high-precision measurement method for the outer diameter of large workpieces based on an elliptic algorithm includes the following steps: Step S1: Measurement device arrangement; Step S2: Coplanar calibration; Step S3: Point cloud acquisition and preprocessing; Step S4: Ellipse fitting and geometric dimension calculation; According to measurement requirements and different actual working conditions, a suitable elliptic algorithm is selected to fit the planar point cloud, and the geometric dimensions are solved through the ellipse parameters; Step S5: Based on the geometric characteristics of the fitted ellipse, the placement posture of the workpiece is inferred; The placement posture of the workpiece is inferred through the major axis direction, tilt angle, and eccentricity parameters of the ellipse; The major axis direction vector is calculated through the ellipse equation, and the angle between it and the measurement reference axis is the workpiece tilt angle; The tilt degree of the workpiece cross-section is evaluated according to the ellipse eccentricity, and the posture parameter e of the workpiece can be obtained by combining the obtained image data with the relative position of the measuring station and the frame; This invention realizes the integration of geometric dimension measurement and posture evaluation.

Provided is a device that generates a three-dimensional model in a short amount of time. A model generating device according to the present invention comprises: an acquisition unit that acquires measurement data of a three-dimensional form of an object; a simple three-dimensional model generating unit that generates a three-dimensional model on the basis of the measurement data; a dimensions measurement unit that measures dimensions or position information of a predetermined portion of the object on the basis of the three-dimensional model; and a model generating unit that sets the dimensions or position information that is measured to a template of a parametric three-dimensional model of the object and generates a parametric three-dimensional model of the object.

The invention provides a construction site size measurement method and device and electronic equipment, and the method comprises the steps: obtaining a three-dimensional model of a to-be-measured construction site, planning an inspection route of a measurement device according to the three-dimensional model, controlling the measurement device to move to a target measurement point along the inspection route, and carrying out the posture correction of the measurement device based on an optical mark. Scanning a to-be-measured target based on the measuring device to obtain local point cloud data, converting the local point cloud data to a global coordinate system to obtain global point cloud data, determining actual size parameters of the to-be-measured target according to the global point cloud data, and determining theoretical size parameters of the to-be-measured target according to the three-dimensional model. If the difference value between the actual size parameter and the theoretical size parameter is smaller than a preset difference value threshold value, the actual size parameter serves as the size measurement result of the to-be-measured target, and the technical problems that a traditional manual measurement mode is low in efficiency and poor in precision and has safety risks are solved through the method.

The present invention makes it possible to measure a dimension of a portion without installing a scaffold even if the portion is at high elevation where the dimension cannot be visually measured unless a scaffold is installed. One embodiment of the present invention comprises: a first placement step for moving a first movable body (12) having a dimension portion with at least one dimension known in advance to place the first movable body (12) at a location in the vicinity of an object (80) to be measured; a second placement step for moving a second movable body (14) equipped with an imaging means (14A) to place the second movable body (14) in a photographable area in which a photograph of the object (80) to be measured can be taken; and an imaging step for taking a photograph at each of a first position and a second position different from the first position within the photographable area in which the second movable body (14) has been placed in the second placement step, the photograph including both the object (80) to be measured and the dimension portion as subjects.

This invention discloses a dimensional measurement method, apparatus, stacker, and storage medium supporting rapid changeover. The invention includes: acquiring a target product image, product dimensional data, and product spacing distance of the product being changed; locating the center coordinates of each product detection area within the target product image based on a preset reference point, the product dimensional data, and the product spacing distance; identifying the target edge positions of each product detection area based on the center coordinates and the product dimensional data; and determining the dimensional measurement data corresponding to the measurement request based on the target edge positions and the product dimensional data when a measurement request is received. This invention achieves fully automated visual positioning and measurement during the changeover process, significantly shortening the changeover operation time, improving production efficiency, and enhancing the repeatability and rapid response capability of dimensional measurements. It can be widely applied in the field of machine vision dimensional inspection technology.

The invention relates to the field of part size measurement, in particular to a part size measurement method and system for a mechanical part, and the method comprises the steps: obtaining a to-be-measured grayscale image of a to-be-measured mechanical part and a template grayscale image of a corresponding mechanical part with a known size; processing the to-be-measured grayscale image to obtain a to-be-measured enhanced grayscale image, and extracting all single edge fragments in the to-be-measured enhanced grayscale image; and processing the template grayscale image to obtain a template enhanced grayscale image, extracting all single edge segments in the template enhanced grayscale image, determining a size mapping relation according to the single edge segments and known sizes of the single edge segments, and calculating the actual size of each single edge segment in the mechanical part to be measured based on the size mapping relation. According to the invention, high-precision extraction of multiple directions and weak edges of the mechanical part is realized, and the precision of dimension measurement is improved.

The invention discloses a tray identification method and device based on structural feature point cloud, equipment and a storage medium, and relates to the technical field of computer vision and detection. Acquiring tray RGB information and tray depth information through a binocular camera; generating a point cloud of the tray based on the depth information, aligning the RGB information with the depth information, and extracting an ROI region of the tray in the point cloud; converting the point cloud data into a two-dimensional plane in a camera coordinate system through the projection matrix; the point cloud data in the two-dimensional plane is rotationally scanned, and the main beam orientation of the tray is calculated; cutting the ROI region in the orientation range of the main beam to obtain point cloud data of the measured surface; projecting the point cloud data of the measured surface to a plane orthogonal to the rotating shaft, and calculating the spatial positioning of the tray through a straight line fitting algorithm; the scheme is high in identification precision, accurate in size measurement, high in processing efficiency, adaptive to a high-beat production line and high in automation degree; the method has strong environmental adaptability and anti-interference capability, and is strong in adaptability and good in robustness.

An objective of the present invention is to provide a method whereby the dimensions of a pattern prior to deformation can be measured for a cross-sectional image having a structure in which pattern deformation has occurred.　With regard to a dimension measurement device according to the present invention, the dimensions of a desired portion of a pattern are measured using a cross-sectional image including an etched pattern, and when the pattern is in contact with another pattern, the contacting portion of the pattern is cut, and then a segmentation image of the pattern in which the contact portion is cut is obtained using a semantic segmentation model, contour line data of the pattern is acquired using the segmentation image, the position of the pattern prior to contact is estimated using the contour line data, the amount of displacement between the estimated position and a contour line is obtained, the contour line data is corrected on the basis of the obtained displacement amount, and the dimensions of a desired portion of the pattern are measured on the basis of the corrected contour line data.

The invention discloses a mask group, a measurement mark structure, a forming method and a size measurement method, and relates to the technical field of photoetching processes. The mask group comprises a first mask and a second mask, the first mask and the second mask are respectively used for a deep groove etching process and a middle groove etching process, the first mask and the second mask are respectively provided with a measurement mark group, and the positions of the measurement mark groups of the first mask and the second mask are not overlapped; the measurement mark group comprises four measurement mark patterns, the measurement mark patterns are respectively arranged at four vertex angles of the first mask or the second mask, and the measurement mark patterns of three vertex angles are obtained by rotating the measurement mark pattern of the other vertex angle; the measurement mark patterns comprise outer frame patterns and positioning patterns, the outer frame patterns half surround the positioning patterns, and the corresponding outer frame patterns form a square when the four measurement mark patterns are spliced. The mask group is utilized to etch the measurement mark structure with non-overlapped positions on the wafer, so that etching penetration of the wafer is avoided, and the performance of the chip is ensured.

1. Name of the product in this design: Measuring tape. 2. Purpose of this design: For dimensional measurement. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a building size measurement method, system and device, and relates to the technical field of building size measurement. The measurement method comprises the following steps: collecting laser point physical coordinates and a building image; after the building image is preprocessed, laser point pixel coordinates are extracted; after the relative coordinates of the object surface laser points are calculated, solving a homography transformation matrix, carrying out perspective correction on the building image to obtain an orthographic projection image, and solving a conversion coefficient between pixels and an actual distance; inputting the building image into the semantic segmentation model to obtain a building facade segmentation mask; based on the conversion coefficient, the actual size of the building facade is obtained through conversion. According to the scheme, three-dimensional movement is achieved through the electric driving platform, the laser point positioning position can be adjusted according to the building size, buildings of different specifications can be adapted, and the limitation that only objects of specific sizes can be measured in the prior art is broken through.

The invention relates to the technical field of building construction detection, in particular to a device for detecting the perpendicularity and the section size of a main structure wall column. Comprising a stand column with scales, a first graduated scale hinged to the upper portion and a second graduated scale connected to the lower portion. The first graduated scale can rotate horizontally and vertically, is provided with a sliding clamping seat with a plummet, and is used for perpendicularity detection; the second graduated scale is formed by sleeving a fixed section and a telescopic section, can horizontally rotate and extend and retract, is provided with a supporting folding frame to ensure that the horizontal state is stable, and can also be adjusted in a sliding manner along the height of the stand column. The device integrates verticality and section dimension measurement functions, is compact in structure and simple and convenient to operate, can realize single-person safe, rapid and accurate detection operation, and effectively solves the problems that a traditional method needs cooperation of multiple persons, tools are various, efficiency is low and safety risks exist.

The invention belongs to the technical field of image data processing, and particularly relates to a component size measurement method and system based on three-dimensional reconstruction, and the method comprises the steps: obtaining the three-dimensional point cloud data of the surface of a component, building a local neighborhood index, and calculating the local projection value of each data point, so as to distinguish an effective supporting point from an invalid interference point; constructing a fitting function containing a blocking coefficient and a fitting coefficient, simulating the physical characteristic that the rigid plane and the surface of the component are only contacted but not penetrated, and solving the fitting function in an iterative weighting mode to obtain an optimal reference surface; and projecting the data points to the optimal reference surface, and calculating the length and width size, flatness and perpendicularity error of the component. According to the invention, interference of surface depression on datum plane fitting is effectively reduced, and the measurement precision is improved.

This invention relates to the field of dimensional measurement technology, specifically disclosing an intelligent dimensional measurement device and method based on gear machining. The device includes a machining center, with a measuring seat disposed on the right side of the machining center's interior. A gear to be measured is disposed at the top center of the measuring seat, and a clamping assembly for holding the gear to be measured is disposed inside the measuring seat. The measuring device also includes a detection assembly disposed inside the gear to be measured. The detection assembly includes a first motor rotating in the center of the measuring seat. Through the function of the above structure, the measurement position can be adjusted according to the size of the gear tooth groove. For internal gears of different sizes, this avoids the problem of the measurement position contacting the root region of the gear tooth groove due to a small measurement area, thus ensuring the accuracy of the cross-bar distance measurement. It also avoids the problem of the measurement position being unable to enter the tooth groove due to a large measurement area, thus preventing the detection accuracy from being affected.

This invention provides a dimensional measuring device, a dimensional measuring system, and a dimensional measuring method that enable the measurement of the dimensions of various objects visible in a target image with minimal preparation time. [Solution] This dimensional measuring device 100 includes a learning unit 11 that generates an additional layer that learns the object to be measured 4a using an additional learning dataset L that includes a learning data image 1 showing the object to be learned 1a, a model selection unit 13 that selects a combined model M by combining the additional layer R1 with the segmentation base model B, a boundary line identification unit 14 that identifies the contour of the object to be measured 4a that has undergone segmentation processing as boundary line positions, and a dimension calculation unit 15 that calculates the distance between the boundary line positions of the object to be measured 4a as dimensions. The learning unit 11 is configured to learn the parameters of the additional layers R1 to R3 while fixing the parameters of the segmentation base model B during learning.

The invention relates to the technical field of rail detection, in particular to a calibration device and method for rail spacing geometric dimension measurement, and the device comprises a measurement vehicle, a moving part, a measurement part, a camera, a data display terminal, a control box, and a calibration part. According to the invention, the following problems existing in calibration of track measurement in the prior art can be solved: real-time calibration cannot be provided in the dynamic running process of a measurement vehicle along a track by adopting a static pre-calibration mode, and the dynamic measurement requirement of a continuous track cannot be met; data verification cannot be synchronously carried out when the distance measuring instrument dynamically measures the rail distance, so that the reliability and the precision of dynamic measurement are insufficient; the device can shoot, compare and verify the distance between the inner side of the track and the calibrated reference track while moving along the track, so that calibration can be carried out according to the calibration size in the dynamic measurement process of the track distance, and the reliability of the measurement result is ensured.

The invention relates to a cloud storage method and system for size measurement data of a concrete compression-resistant test block, and the method comprises the steps: obtaining the measurement data of any concrete compression-resistant test block for all size measurement items, carrying out the preprocessing of the measurement data, and obtaining the data point of any concrete compression-resistant test block; based on an iterative self-organizing clustering algorithm, clustering all the data points, and when clustering cluster splitting needs to be carried out, obtaining the intra-cluster abnormal degree of any data point in a to-be-split clustering cluster; adjusting the initial clustering center of the to-be-split clustering cluster based on the intra-cluster anomaly degree of any data point to obtain a target clustering center; and splitting the to-be-split clustering cluster based on the target clustering center to obtain a clustering result of the data points, and performing classified storage on the concrete compression resistance test blocks based on the clustering result. According to the method, the clustering splitting strategy is dynamically adjusted based on the abnormal degree in the data point cluster, and the classified storage precision and reliability of the size data of the concrete compressive test blocks are improved.

The embodiment of the invention provides a construction site facility detection and size measurement method based on deep learning. The method is applied to the technical field of engineering measurement, and comprises the following steps: inputting a preprocessed original RGB image into a trained construction site facility image detection model for analysis and processing to obtain a target category and bounding box coordinates of a facility; converting the gray value of the preprocessed depth map into a pseudo-color map by adopting a color mapping algorithm; converting a depth value corresponding to the color of each pixel in the pseudo-color image into a three-dimensional space coordinate by combining a mapping relation between the depth value and an RGB color space based on a camera internal reference matrix, and generating point cloud data; extracting a point cloud subset of the corresponding region from the point cloud data according to the bounding box coordinates; clustering the point cloud subsets by adopting a density clustering algorithm to obtain independent point clouds of single facilities; the aggregation parameter of the independent point cloud in the three-dimensional space is determined, the physical size of the facility is obtained, and the detection precision and the detection efficiency of the construction site facility are improved.