96 results about "Boundary location" patented technology

The invention discloses a method for grabbing an object by a robot, which comprises the following steps: acquiring surface vibration, transient deformation and three-dimensional deformation data of the object through multi-point pulse excitation, and generating stress wave characteristic mapping data; analyzing internal propagation characteristics of the object according to the stress wave characteristic mapping data, identifying a stress transmission channel, determining a material boundary position and a deformation sensitive area, and generating internal structure characteristic data; calculating a deformation risk coefficient and a stability contribution degree according to the internal structure characteristic data, selecting a grabbing position, and generating grabbing strategy data; and according to the stress wave characteristic mapping data and the grabbing strategy data, the inherent frequency and the local deformation characteristic are identified, a force loading sequence is designed, the vibration state and the deformation amount are monitored, and the force loading sequence is dynamically adjusted. According to the method, the deformation behavior of the object can be accurately predicted, the optimal grabbing strategy is determined by analyzing the internal structure characteristics of the object, dynamic force control is achieved based on frequency modulation, and the instability problem in the grabbing process of the deformed object is effectively solved.

The invention relates to a method for identifying and extracting a potential sliding surface of a side slope in two-dimensional numerical simulation calculation, and belongs to the field of traffic side slope engineering. The method comprises the following steps of: determining an identified potential sliding surface boundary position as a potential sliding surface lower or upper edge boundary position according to a position relationship between side slope surface numerical value units with minimum and secondary minimum local safety coefficients; and finally, sequentially connecting the identified and extracted potential sliding surface points to obtain a two-dimensional side slope potential sliding surface. According to the method, a strength reduction technology does not need to be introduced, a rock-soil body shear strength criterion is not limited, the two-dimensional side slope potential sliding surface can be automatically and intelligently identified and extracted, the obtained potential sliding surface conforms to a side slope shear failure mechanism, and the actual failure form of the two-dimensional side slope in a real scene can be effectively displayed; the method has the advantages of being wide in application range, high in precision, good in universality, good in effect, low in cost and the like, and is used for providing a powerful scientific basis for slope potential instability range prediction and reinforcement area determination in actual engineering.

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The invention discloses a fine-grained physical exercise detection method and device based on deep skeleton feature learning, and the method comprises the steps: reading a skeleton diagram, and extracting deep posture features through employing a diagram convolution network; inputting the depth attitude features into a time boundary classifier to predict a boundary probability and an action probability of each timestamp, determining possible starting and ending positions according to the boundary probability and the action probability, and generating a candidate nomination set; for the candidate nomination set, the possibility of each candidate nomination is re-evaluated by extracting the time relation of the boundary position, and a prediction confidence value is obtained; redundant candidate nominations are removed through non-maximum suppression, and a final nomination set is obtained; and inputting the final nomination set into a nomination classification module to estimate the sub-action category of each nomination. According to the invention, by capturing the dynamic change of the human body motion, the important posture change mode is extracted, the category and boundary of the sports motion are effectively represented, and the detection problem of the fine-grained sports motion is solved.

The embodiment of the invention provides an application program testing method and device, a storage medium and a program product. The method comprises the following steps: controlling a user interface of a to-be-tested application program to slide along a specified direction; after the user interface slides along the specified direction, determining whether an interface screenshot of the user interface before sliding is consistent with an interface screenshot of the user interface after sliding by utilizing a trained preset model; when the two interface screenshots are consistent, determining that the user interface slides to a boundary position; and when the two interface screenshots are inconsistent, returning to execute the step of controlling the user interface of the to-be-tested application program to slide along the specified direction. According to the technical scheme provided by the embodiment of the invention, the universality and the test efficiency of the user interface test can be improved.

The invention relates to a data transmission method, device and system, and relates to the technical field of communication. The data transmission method comprises the following steps: establishing a connection with a receiving end of data to be transmitted; and sending at least one of an expired offset frame used for indicating data which is not retransmitted in the data to be transmitted, a boundary frame used for indicating a boundary position of a data block in a data stream of the data to be transmitted, or a related frame used for associating a plurality of data streams created based on the same request in the data to be transmitted to the receiving end, and the receiving end transmits the data to be transmitted according to at least one of the expired offset frame, the boundary frame or the related frame. And under the condition that the receiving end does not confirm to receive the data block within the preset time, sending the expired offset frame to the receiving end.

The invention discloses a magnetic target boundary recognition method and system based on a magnetic gradient tensor, and relates to the technical field of geophysical exploration and industrial nondestructive testing, and the method comprises the following steps: collecting spatial magnetic gradient tensor data through a magnetic gradient sensor array, and obtaining nine components of the magnetic gradient tensor; calculating the vertical guide modulus of the vertical component of the magnetic gradient tensor; calculating a Z-direction analysis signal ASAz and a vertical guide thereof; a boundary recognition amount is generated by a ratio operation, and a boundary position of the magnetic target is determined based on a maximum value position of the boundary recognition amount. According to the method, a vertical component derivative and analytic signal derivative dual-derivative coupling mechanism is combined for the first time, the limitation that a traditional method depends on a single parameter is overcome, the vertical component derivative accurately captures the change rate of the boundary in the vertical direction, and the analytic signal derivative effectively suppresses background noise.

The invention relates to the field of remote sensing image semantic segmentation of computer vision, in particular to a post-disaster road segmentation method and device based on edge driving and layered global reconstruction. Comprising the following steps: acquiring a remote sensing image of a post-disaster scene, and carrying out feature encoding and decoding on the remote sensing image through an encoder-decoder structure; in the encoding stage, edge features of an image are extracted, edge prior information representing the boundary position and strength of a target is generated, and weighting constraint is carried out on shallow encoding features according to the edge prior information, so that edge constraint features are obtained. And carrying out multi-scale extraction and fusion on the features to form fusion features containing different spatial scale information. In the decoding stage, global semantic description information is generated based on the fusion features, and hierarchical guide reconstruction is performed on the fusion features by using the information to obtain reconstructed features. And generating a segmentation result of the post-disaster road according to the reconstruction features and outputting the segmentation result. The pixel-level segmentation effect of clear boundary, continuous structure and high robustness of the road area in a complex post-disaster scene is realized.

A method can include receiving data acquired via a drillstring in a borehole in a subsurface environment; determining boundary locations for formations in the subsurface environment using at least a portion of the data, where an end of the borehole is disposed in one of the formations; determining extended boundary locations in the subsurface environment for a region beyond the end of the borehole using the boundary locations; determining a target location in the region; generating a trajectory from an end of the borehole location to the target location; and executing a directional drilling system to control directional drilling of the drillstring that extends the borehole beyond the end of the borehole towards the target location.

A computer-implemented method can determine a linguistic boundary condition for synthetic data generation in a multi-class classification problem. The method includes analyzing empirical labelled data using linguistic and vector representation techniques. The method further includes deriving a synthetic boundary conditional (SBC) model based on the analysis of the empirical labelled data and identifying a boundary location for performant synthetic data generation using the SBC model.

The invention relates to the technical field of path optimization, in particular to an emergency shelter global planning method based on multi-disaster risk coupling, which comprises the following steps: acquiring disaster source and DEM grid coordinates and calculating distance, selecting grids according to influence radius, comparing and connecting grid elevation identification peak points, and determining a propagation restriction area by combining the disaster source and a water diversion line. And matching the positions of the shelters and sorting with the road network. According to the method, differential disaster diffusion ranges are identified in a unified space framework by introducing spatial positions of various disaster sources and combining a grid distance relation, terrain peak points are identified by combining grid elevation differences, correlation analysis is performed by combining a spatial adjacency relation, and the disaster diffusion ranges are identified according to a spatial cross relation between the disaster source positions and water diversion line nodes. A potential disaster diffusion channel is avoided in the shelter screening process, space matching is carried out by combining the shelter boundary position and the road network, and the shelter space layout stability under the terrain and the multi-disaster scene is enhanced according to the road access direction.

The invention discloses a carriage height measuring method and device, an electronic product and a computer program product, and belongs to the technical field of data processing. The method comprises the steps that image data and distance data are obtained, the image data comprise a compartment side view and a reference column, a set of marks are arranged on the reference column at intervals, and the marks are used for representing the reference height to determine height information of a compartment; the distance data is the distance between the carriage and the reference column; processing the image data based on the trained machine learning model to obtain an identification result, the identification result including the boundary position of the carriage and the position of the mark; and obtaining height data of the carriage according to the identification result and the distance data. The device comprises a data acquisition module, an identification result obtaining module and a height data obtaining module. According to the technical scheme, the efficiency of carriage height measurement is improved, the automation degree is high, and the repeated labor amount is reduced.

The embodiment of the invention provides a railway limit intrusion detection method and related equipment, and belongs to the technical field of railway detection. The method comprises the following steps: acquiring a track detection result of track detection and a railway line image; carrying out time difference matching according to the rail inspection result and the railway line image to obtain an image extrinsic parameter; performing image correction processing on the railway line image to obtain a distorted image; performing target detection according to the distorted image to obtain target information of the to-be-detected railway equipment; based on two different feature extraction algorithms, performing feature matching on the distorted image according to the target information to obtain a target feature set; performing triangulation on the target feature sets of the images along the different railways according to the image extrinsic parameters to obtain boundary position coordinates of the railway equipment to be measured in a track coordinate system; and according to the boundary position coordinates and the track detection result, carrying out intrusion detection to obtain an intrusion result. According to the invention, automatic detection can be realized, the accuracy and operation efficiency of limit invasion detection are improved, and data support is provided for track adjustment.

The application relates to the field of automatic walking equipment, and provides a driving control method, automatic walking equipment and a computer storage medium. The method comprises the following steps: in response to a control instruction of a user, starting a working mode of the automatic walking equipment; acquiring a boundary image corresponding to a boundary position of the automatic walking equipment in a target working area; constructing a boundary sub-map corresponding to at least two different boundary positions according to the boundary image; checking image data acquired by the automatic walking equipment according to the boundary sub-map, and obtaining a first image pose; and correcting an error of a historical pose of the automatic walking equipment according to the first image pose, and obtaining a target pose.

A method includes: locating a first slot boundary around a first product unit, in an image of an inventory structure in a store, identifies as a first product type based on features detected in the image; extracting a first product identifier, from a first slot tag, detected in the image; based on correspondence between the first product identifier and product type, associating the first slot boundary with the first slot tag and extracting a first relative tag-boundary position of the first slot boundary and slot tag from the image; extracting a second product identifier from a second slot tag detected in the image; predicting a second slot boundary, assigned to a second product type corresponding to the second product identifier, in the image based on a second position of the second tag in the image and the first relative tag-boundary position.

The invention provides an exception handling method and device for inspection equipment, a storage medium and the inspection equipment. The method comprises the following steps: under the condition that a sensor of inspection equipment detects an obstacle, acquiring the position of the inspection equipment and a first distance between the inspection equipment and the obstacle; determining whether the obstacle is at the boundary position of the conductor based on historical boundary information of the conductor stored in the inspection equipment, the position of the inspection equipment and the first distance; if the obstacle is at the non-lead boundary position, controlling the inspection equipment to brake and take a picture to obtain a first to-be-analyzed image; and based on the identification result of the first to-be-analyzed image, controlling the inspection equipment to continue advancing or retreating. According to the method, the reliability and the safety of task execution of the inspection equipment are guaranteed.

The application provides a multi-image array splicing method for large cement prefabricated components, and the splicing method comprises the following steps: step one: collecting original images of the cement prefabricated components, dividing the original images into regions, and adjusting the gray scale of each region to obtain preprocessed images; step two: searching for feature points between every two adjacent images in each row in the images, identifying and extracting key feature points in the images through a SIFT algorithm, and then matching the key feature points of the adjacent images through a KNN algorithm to determine the relative position relationship between the key feature points; step three: searching for feature points between every two adjacent images in each column and matching the feature points; and step four: calculating the boundary positions of each image in the splicing area, and then splicing. The application realizes high-precision splicing of the cement prefabricated components, can effectively improve the shape detection precision of subsequent cement components, and improves the product detection quality.

The invention discloses a boundary gateway selection method and device, electronic equipment and a storage medium, and the method comprises the steps: taking satellites which have inter-domain links and are located at boundary positions in satellite sub-domains as candidate boundary gateways, and determining a maximum traversal number according to the number of the candidate boundary gateways; sequentially and progressively increasing the traversal number to the maximum traversal number, and determining a candidate boundary gateway set containing candidate gateways with the number being the current traversal number; for at least one candidate boundary gateway set, determining resource overhead corresponding to the candidate boundary gateway set according to the hop count between other satellites except for the candidate boundary gateway in the satellite subdomain and the candidate boundary gateway in the candidate boundary gateway set; and finally, determining the candidate boundary gateway in the candidate boundary gateway set with the minimum resource overhead as a target boundary gateway. On the basis, a border gateway selection scheme in the satellite network based on resource overhead is realized.

In various examples, live perception from sensors of a vehicle can be utilized to detect and classify intersection contest areas in a vehicle’s environment in real-time or near real-time. For example, a deep neural network (DNN) can be trained to compute outputs (e.g., signed distance functions) that can correspond to boundary locations that demarcate intersection contest areas. The signed distance functions can be decoded and / or post-processed to determine instance segmentation masks that represent locations and classifications of intersection zones or areas. Locations of intersection zones or areas can be generated in image space and converted to world space coordinates to assist an autonomous or semi-autonomous vehicle in navigating an intersection according to road rules, traffic priority considerations, etc.

A group of wells may be located within a region of interest. Multiple scenarios of boundary locations within the group of wells may be obtained. Boundary likelihood curves for the wells may be generated. Different number and / or locations of boundaries within different scenarios of boundary locations may be synthetized into the boundary likelihood curves. A visual representation of the boundary likelihood curves may be generated. The visual representation of the boundary likelihood curves may be used to automatically select and / or guide manual selection of boundary locations in the region of interest.

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The invention discloses a camera internal reference calibration method and device and electronic equipment, and the method comprises the steps: collecting an image in a current scene, carrying out the recognition of a distorted boundary pixel point of a linear structure in the collected image, and obtaining the boundary position information of the linear structure; sampling boundaries of the linear structure in the horizontal direction and the vertical direction according to the boundary position information, fitting sampling points to obtain a mean value position of the boundaries, and taking the mean value position as distortion centers in the horizontal direction and the vertical direction; constructing a fitness function based on the error sum of squares, and calculating to obtain a global optimal solution of the distortion coefficient according to the fitness function; and extracting parallel line identification information in the current scene, and obtaining a focal length closed solution based on the relative position relationship of the parallel lines. According to the technical scheme, the calibration process is simplified, the internal reference calibration of the camera is completed only depending on the linear features in the road scene, the camera can conduct self-adaptive calibration in the dynamic scene, and the calibration precision and stability are effectively improved.

The invention relates to a hydrogeological exploration data processing method, device and equipment and a medium, and the method comprises the steps: extracting fault lines and stratum boundary lines in a geological profile map to generate a space line set, and analyzing stratum interface coordinates and lithologic attributes from drilling data to generate a drilling interface point set; detecting spatial topology conflicts of the two types of data, and quantitatively calculating angle deviation, vertical distance and lithology difference to generate a conflict point set; dynamically distributing credibility weights of the data sources based on the conflict degree to form aquifer boundary correction parameters; and finally, fusing the drilling elevation and the boundary projection elevation when the three-dimensional model is reconstructed, and driving boundary position optimization through weights. According to the method, the systematic conflict between manual interpretation deviation and discrete drilling data is effectively solved, the problems of water-bearing stratum boundary positioning deviation and water inflow prediction distortion are eliminated, and unification of geological law consistency and reliable prediction of the water inflow is achieved.

The application provides a modeling method and device of a geological model, which can be applied to the fields of geological engineering and automatic modeling technology. The method comprises the following steps: initializing a target region based on basic geological data of the target region to obtain basic geological attribute data of the target region; remapping a plurality of initial geological units to obtain a plurality of corrected geological units; dividing the plurality of corrected geological units into a plurality of block partitions according to boundary position information in the basic geological attribute data; fitting physical property parameters of the plurality of block partitions based on the physical property parameters corresponding to the boundary position information of the plurality of block partitions to obtain simulation parameters of the plurality of block partitions; and performing visual processing on the plurality of block partitions and the simulation parameters to obtain a visual result of a geological model of the target region.

The present invention provides a method for processing discontinuous boundary points in the crystal bar position mapping table generation algorithm, including: determination of discontinuous boundary points and their position determination, initiation of boundary extension, continuous loop of boundary extension, and completion of boundary extension. In the process of the crystal bar and gamma photon interaction position mapping table generation algorithm, the problem of discontinuous boundary points occurring in the boundary position division of each crystal bar is well solved, the boundary position division effect of the crystal bar is improved, and the accuracy of the final result is ensured.

Provided is a wireless train control system capable of detecting the train position without a ground coil and correcting the train position in consideration of a transmission delay time. This wireless train control system comprises: a ground device comprising a detection unit that detects that a train has crossed a boundary located on a railroad, an identifier that can specify the boundary position when the detection unit detects that the train has crossed the boundary, and a cross-boundary data unit that creates and transmits, to the train, cross-boundary data having stored therein a serial number of data received from the train immediately before the train crosses the boundary; and an on-board device comprising a train position data unit that creates train position data having stored therein the train position and the serial number of the data, and that periodically transmits the train position data to the ground device, and a train position correction unit that, when the cross-boundary data has been received, corrects the train position by using the value obtained by adding the boundary position specified from the identifier in the cross-boundary data to the value obtained by subtracting, from the current train position, the train position immediately before crossing the boundary specified from the serial number in the cross-boundary data.

The present application discloses a self-moving device, including: a boundary label detection unit, a positioning unit, and a map establishment module, which is used to trigger the self-moving device to walk along the boundary of the working area, and form a boundary position coordinate sequence of the working area according to the position coordinates recorded by the positioning unit; it also includes a map correction module, when the current boundary label is detected, the actual mileage between the previous boundary label is obtained according to the boundary length between the pre-stored boundary labels; the map correction module is used to correct the coordinate position of the current boundary label and the previous boundary label according to the difference between the actual mileage and the recorded mileage. A method for establishing a work area map is also provided. The self-moving device provided by the present application establishes a work area map more accurately, which improves the accuracy of positioning and navigation according to the map.