18 results about "Surface distance" patented technology

A laser measurement calibration method is adapted to establish in a software program and executes the following steps after read by a computer: measuring a standard calibration element with a contact sensing device to obtain a measurement value; measuring the standard calibration element with at least one non-contact sensing device to obtain at least one surface distance value of the standard calibration element; calculating a calibration value according to the measurement value of the standard calibration element and the at least one surface distance value of the standard calibration element; measuring an object to be measured with the at least one non-contact sensing device to obtain at least on surface distance value of the object to be measured; and calculating a measurement value of the object to be measured according to the calibration value and at least one surface distance value of the object to be measured.

The invention discloses a self-adaptive point cloud implicit curved surface reconstruction method based on a truncation level B spline, and the method comprises the steps: constructing a first-layer truncation level B spline primary function space, and obtaining an initial implicit function through solving an optimization model; evaluating the fitting error of each point of the input point cloud, and determining the fitting error as a region which needs to be further refined; establishing a new truncation hierarchy B-spline primary function set, and expanding a current function space; performing truncation operation on the THB spline primary function which is completely positioned in the refined region; combining the truncated primary function with the primary function set generated by the new layer, and updating the whole primary function library; re-optimizing the model, and solving the updated implicit function; refining and optimizing layer by layer, and outputting a final implicit function and a zero level set thereof; and performing triangular meshing on the final zero level set to finish curved surface reconstruction. According to the method, an extra training process is not needed, excellent point-to-surface distance and curvature indexes can be kept at the noise level up to 10%, and the memory and calculation overhead can be greatly reduced.

The invention relates to a laser measurement correction method, which comprises the following steps of: measuring a standard correction piece by using a contact type sensing device to obtain a measurement value; measuring the standard correction piece by at least one non-contact sensing device to obtain at least one surface distance value of the standard correction piece; calculating a correction value according to the measured value of the standard correction piece and at least one surface distance value of the standard correction piece; measuring an object to be measured by at least one non-contact sensing device to obtain at least one surface distance value of the object to be measured; and calculating a measurement value of the object to be measured according to the correction value and at least one surface distance value of the object to be measured.

Disclosed is a computer-implemented method for concrete removal using a robotic system (102) equipped with a high-pressure water nozzle (110). The method comprises receiving, via a sensor system (120), first image data including an area of interest in the vicinity of the robotic system (102), determining, based on the first image data, a concrete surface to be removed within the area of interest, defining (208) a coverage path for the high-pressure water nozzle (110) to traverse the concrete surface to be removed, wherein said defining includes determining waypoints and / or corresponding nozzle orientations to achieve an optimized path that covers the concrete surface to be removed, and causing executing (214) the concrete removal by the robotic system (102) along the coverage path, wherein real-time distance sensing is utilized to essentially maintain a predefined nozzle-to-surface distance, preferably in order to achieve a predetermined removal depth.

To provide a laser measurement calibration method for calibrating an error of non-contact measurement by a contact measurement result to improve the accuracy of the non-contact measurement.SOLUTION: A laser measurement calibration method includes the steps of: measuring a standard calibration member with a contact sensing device to acquire a measurement value; measuring the standard calibration member with at least one non-contact sensing device to acquire at least one surface distance value of the standard calibration member; calculating a calibration value on the basis of the measurement value of the standard calibration member and the at least one surface distance value of the standard calibration member; measuring an object to be measured with the at least one non-contact sensing device to acquire at least one surface distance value of the object to be measured; and calculating a measurement value of the object to be measured on the basis of the calibration value and the at least one surface distance value of the object to be measured.SELECTED DRAWING: Figure 2

The present application relates to distance detection device, detection method and processing equipment, including processing head for processing workpiece, the processing head is fixed with distance detection device, the height of the workpiece surface is detected through the distance detection device, and the processing head is adjusted for processing according to the height. The distance detection device is detachably connected with the processing head, which facilitates the installation and disassembly of the detection device, and flexibly adapts to various processing heads and realizes the same axiality and same direction external force applied to the distance detection device for probe extension and contraction movement, avoiding the need for resetting point when the detection device extends and contracts in different positions. The distance between the workpiece surface and the processing head is measured quickly after resetting in the same XY axis position, reducing the movement time and improving the work efficiency. At the same time, the lever principle is used to solve the problem of insufficient extension distance of the detection device caused by insufficient space of the processing head. In the same axiality and same direction movement, the damage to the workpiece surface is small, the cost and maintenance cost are low, and the overall structure is simple and compact.

The application discloses an ocean front intelligent tracking method and device, medium and product, relates to the field of ocean front tracking, and comprises the following steps: obtaining a target front surface of a previous time node and a plurality of to-be-judged front surfaces of a next time node; combining a double extreme value method and point-to-point, point-to-surface and surface-to-surface distance calculation sequences, determining one to-be-judged front surface most similar to the target front surface and marking the to-be-judged front surface as a most similar front surface; determining a front surface tracking result based on the width of the most similar front surface, the width of the target front surface and the distance between the target front surface and the most similar front surface; and the front surface tracking result is that the target front surface and the most similar front surface are the same ocean front surface, or the target front surface and the most similar front surface are different ocean front surfaces. The application can realize more accurate ocean front surface tracking.

The application relates to a track train part abnormality detection method based on point-surface distance, and relates to the technical field of track part abnormality detection.The application comprises the following steps: a surface identification step, in which a measured special surface in a target image is identified through a surface identification strategy, and corresponding special identification features are generated; a model indexing step, in which a target part model is called from a part type database according to the special identification features and is imported into a space coordinate system; a vector fitting step, in which a presentation vector of the target part model in the space coordinate system is determined through a model presentation strategy, and a coordinate mapping relationship between the space coordinate system and the target image is constructed; a point confirmation step, in which the graphic plane coordinates of a reference special point in the target image are determined according to the mapping relationship; and a deviation calculation step, in which a difference value of the coordinates of the reference special point and the measured special point is calculated to obtain a special point deviation, and a reference distance deviation is solved through a preset distance solving algorithm.The application has the effect of facilitating detection of abnormal vector changes of track train parts.

The invention relates to a sensor arrangement (100) with a surface distance sensor (1), with a transmitter (4) which emits light rays (3) and with a receiver (5) which receives the light rays (3). The light rays (3) are periodically directed in a scanning plane. By means of an evaluation unit, the distance of an object (7) is determined from the reception signals of the receiver (5). At least one directional element (16) is present, which is arranged obliquely with respect to the scanning plane, such that it protrudes in its height direction out of the scanning plane. The directional element (16) has a contrast pattern which varies in a distinct manner in the height of the directional element (16). In the evaluation unit, on the basis of the reception signals of the receiver (5), the distance of the directional element (16) is evaluated and the amplitude curve of the reception signals when the contrast pattern is scanned with the light rays (3) is evaluated as a measure of the orientation of the scanning plane.

The present invention addresses the problem of providing a device and a method for predicting the position of occurrence of a shrinkage cavity in a casting, which are capable of increasing options for countermeasures against the shrinkage cavity in a casting. The present invention is a device for predicting the occurrence position of a shrinkage cavity in a casting cast by injecting molten metal into a mold, the device comprising: a measurement point setting unit for setting a plurality of measurement points for the casting; a molten metal replenishment limit solid fraction arrival time calculation unit that calculates a molten metal replenishment limit solid fraction arrival time for each measurement point; a solidification path setting unit that sets a solidification path of the casting by connecting measurement points selected on the basis of the molten metal replenishment limit solid fraction arrival time; a surface distance calculation unit that calculates, for each measurement point located on the solidification path, the distance from the measurement point to the surface of the casting closest to the measurement point; and a molten metal replenishment blocking site determination unit that determines a molten metal replenishment blocking site at which the replenishment of the molten metal is blocked during the solidification of the molten metal.

The invention discloses a land measurement method and device based on multi-source data fusion, and relates to the technical field of measurement, and the method comprises the steps: collecting three-dimensional geodetic coordinate data and three-dimensional space point cloud data, obtaining a measured starting point three-dimensional coordinate and an end point three-dimensional coordinate, constructing a triangulation network terrain model and an earth surface shortest path search model, and searching a starting node and a target node in the weighted undirected graph, calculating a shortest surface path and a surface distance, and updating the shortest surface path and the surface distance by rendering a triangulation network terrain model, drawing the shortest surface path and setting an inevitable point and a forbidden area. By fusing multi-source data and constructing a continuous digital terrain, the dependence of traditional land measurement on intervisibility conditions is broken through, error accumulation of manual segmented operation is avoided by intelligently resolving and visualizing the shortest earth surface path, meanwhile, the interactive path re-planning capability is provided, and the method and the system have the advantages of being high in accuracy and high in reliability. The precision and efficiency of earth surface measurement under the complex terrain and the scientificity of planning and decision making are obviously improved.

The invention relates to the technical field of computer vision and three-dimensional reconstruction, particularly discloses a neural unsigned distance field (UDF) learning method and a surface reconstruction method based on cross product geometric prior, and aims to solve the technical problems that the gradient direction is unstable and the reconstructed surface is fragmented and discontinuous due to the fact that an existing neural UDF cannot be differentiated at a zero level set. The method is characterized in that a geometric prior constraint mechanism based on an original point cloud cross product is introduced; a local surface normal vector is estimated by calculating the cross product robustness of three adjacent points in an input point cloud, and a neural UDF gradient direction learned by constructing a loss function forced constraint is strictly aligned with a normal vector direction; in the optimal scheme, near surface optimization is focused in combination with an adaptive weight strategy, and a network is jointly driven to learn a more accurate and smoother UDF in combination with unsupervised chamfering distance loss and surface distance constraint. According to the method, the fuzziness of the UDF gradient near a zero level set is effectively overcome, the continuity and integrity of a reconstructed surface are remarkably improved, the method is particularly suitable for high-quality reconstruction of an open surface and an object with a complex internal structure, and the key indexes of the method are superior to those of an existing advanced technology through verification of multiple standard data sets.

The application discloses a metal sealing structure leakage prediction method and system, first, a macroscopic service finite element model is constructed according to the structure and service parameters of the sealing structure, the service deformation behavior is simulated, the model is based on the rotation symmetry characteristic of the sealing structure, the axisymmetric shell model is adopted in the finite element software, the cross section is simplified, the grid is divided and the flange movement is set. Then, a microscopic crystal plastic model with a rough surface is constructed based on the surface roughness, the model construction and grid processing are carried out by considering the material microstructure and characteristics. The deformation amount of the contact position is extracted from the macroscopic model as the boundary condition of the microscopic model to simulate the microscopic deformation. Finally, the distance between the rough surface mean line and the flange surface distance is determined from the microscopic model as the gap height, and the internal and external pressure difference in the service of the sealing structure is combined to calculate the leakage amount of the sealing structure. In this way, the simulation result is more close to the actual situation by combining the macroscopic and microscopic models, and the leakage prediction precision and efficiency of the sealing structure are improved.

A laser measurement calibration method is adapted to establish in a software program and executes the following steps after read by a computer: measuring a standard calibration element with a contact sensing device to obtain a measurement value; measuring the standard calibration element with at least one non-contact sensing device to obtain at least one surface distance value of the standard calibration element; calculating a calibration value according to the measurement value of the standard calibration element and the at least one surface distance value of the standard calibration element; measuring an object to be measured with the at least one non-contact sensing device to obtain at least on surface distance value of the object to be measured; and calculating a measurement value of the object to be measured according to the calibration value and at least one surface distance value of the object to be measured.

The application discloses a kind of based on the registration and fusion of heteroscale data, method, device and medium of quantitative evaluation of jacket damage, comprising: acquisition jacket monocular vision image sequence and laser radar data, respectively three-dimensional reconstruction obtains scaleless vision dense point cloud and has absolute scale laser point cloud;Three-dimensional feature is extracted and is registered by scale and pose decoupling strategy heteroscale, and high-precision datum point cloud model before construction is constructed;According to the same procedure, obtain the point cloud to be measured in construction, and the weight of large residual point pair in local deformation area is obtained by dynamic inhibition, and difference point cloud is obtained;Surface distance is calculated using a specific algorithm, and initial abnormal point cloud is extracted according to threshold value;Independent damage instance is separated by adaptive density clustering combined with spatial position and deformation depth constraint, and the surface area and maximum physical recess depth of each instance are quantified.The application realizes the complementary advantages of cross-scale data, solves the registration distortion problem of traditional method, and provides high-precision damage positioning and quantitative evaluation means.

Display system (28) of an excavating machine comprising a working tool (2) with a bucket (8) and a main body part to which the working tool (2) is attached, comprising: a display device a detector (19) for the condition of the working device (2) which is configured to detect information regarding a current position of the excavating machine, information regarding a position of the main body part and information regarding a position of a tip of the bucket (8); a storage unit (43) configured to store positional information regarding a design surface (45, 70, 435) that specifies a design terrain shape, and information regarding an outer shape of the bucket (8); and a processing unit (44) configured to determine, based on information regarding the current position of the excavator, the position of the main body part, the position of the tip of the bucket (8) and the outer shape of the bucket (8), a measurement reference point that is closest to the design surface (45, 70, 435) from a plurality of measurement reference points defined for measuring a position including at least the tip of the bucket (8) along an outer shape of a rear region of the bucket (8), wherein the processing unit (44) determines a distance between the measuring reference point and the design surface (45, 70, 435) in a normal direction of the design surface (45, 70, 435) as a design surface distance and displays on a screen (42P) of the display device information corresponding to a minimum value of the design surface distance as a shortest distance.

Method for producing a welded joint (S) in the area of ​​a joint between at least two components (2, 3) by means of a laser beam (LS) emitted by means of a laser welding device (1), wherein - at least one reference distance (z) before welding. 1.1 , z 1.2 ) at least one surface of each of the components (2, 3) is determined to at least one reference plane (RE) formed on the laser welding device (1), - then, during welding, the laser beam (LS) is directed onto the surfaces of the components (2, 3), the components (2, 3) are at least partially melted, and the weld joint (S) is created by the solidification of a generated melt, - after welding and solidification of the melt, at least a surface distance (z2) of a surface of the solidified melt (eS) to which at least one reference plane (RE) is determined, - a ratio between at least one reference distance (z 1.1 , z 1.2 ) and at least one surface distance (z2) is determined and - depending on the size of the ratio, it is determined whether the produced welded joint (S) meets specified quality requirements.

A method of producing data representing a modified object based on data representing a reference object is disclosed. The method includes generating one or more offset surfaces based on the data representing the object, where one or more offset surfaces are offset from surfaces of the reference object, and where at least one of: the one or more offset surfaces defines an open surface, and the one or more offset surfaces defines a region having a surface to surface distance which is than a minimum thickness, generating an offset object including at least one of adding and removing one or more portions of at least one of the offset surfaces, where, at least partly because of the adding or removing of the one or more portions, the offset object both does not define an open surface and does not have a region thinner than the minimum thickness limit.