Patent classifications
G06F30/10
Container Fullness Tracking Method and Systems
A method includes: generating a three-dimensional grid of cells representing respective portions of an interior of a container, each cell having a status indicator defining an occupancy state of the corresponding portion of the container interior; during loading of the container: maintaining, for each of the cells, a current status indicator, controlling a depth sensor to capture a sequence of point clouds, each point cloud depicting the container interior, in response to each point cloud capture in the sequence, generating updated status indicators for the cells, based on (i) the point cloud, and on (ii) the current status indicators, replacing the current status indicators with the updated status indicators, measuring a current fullness of the container based on the current status indicators, and transmitting the current fullness to a computing device for at least one of display of the current fullness, or alert generation associated with the current fullness.
METHOD AND SYSTEM FOR GENERATING ENGINEERING DIAGRAMS IN AN ENGINEERING SYSTEM
A method and system for generating engineering diagrams in an engineering system includes receiving specification of one or more physical components. Further, the method includes obtaining, from a data source, a first engineering diagram representing a portion of a technical installation. The method further includes identifying a deviation in the one or more physical components, physical connections and the parameter values in the first engineering diagram based on the specification of the one or more physical components. Furthermore, the method includes generating an engineering diagram analytics model for the first engineering diagram based on the identified deviation in the one or more physical components, the physical connections and the parameter values in the first engineering diagram. Also, the method includes generating a second engineering diagram representing the upgraded portion of the technical installation based on the generated engineering diagram analytics model.
METHOD AND SYSTEM FOR GENERATING ENGINEERING DIAGRAMS IN AN ENGINEERING SYSTEM
A method and system for generating engineering diagrams in an engineering system includes receiving specification of one or more physical components. Further, the method includes obtaining, from a data source, a first engineering diagram representing a portion of a technical installation. The method further includes identifying a deviation in the one or more physical components, physical connections and the parameter values in the first engineering diagram based on the specification of the one or more physical components. Furthermore, the method includes generating an engineering diagram analytics model for the first engineering diagram based on the identified deviation in the one or more physical components, the physical connections and the parameter values in the first engineering diagram. Also, the method includes generating a second engineering diagram representing the upgraded portion of the technical installation based on the generated engineering diagram analytics model.
SYSTEMS AND METHODS FOR CREATING SPACE-FILLING SOLID MODELS
A method for creating a space-filling solid model includes (a) defining a three-dimensional (3D) domain, (b) defining a Voronoi site geometry for each of a plurality of Voronoi sites, (c) defining a spatial arrangement of the plurality of Voronoi sites, (d) arranging the plurality of Voronoi sites within the 3D domain according to the defined spatial arrangement, and (e) partitioning the 3D domain based on the Voronoi site geometry of each the plurality of Voronoi sites defined in (b) and the spatial arrangement of the plurality of Voronoi sites defined in (c) using a distance function to create the space-filling solid model.
SYSTEMS AND METHODS FOR CREATING SPACE-FILLING SOLID MODELS
A method for creating a space-filling solid model includes (a) defining a three-dimensional (3D) domain, (b) defining a Voronoi site geometry for each of a plurality of Voronoi sites, (c) defining a spatial arrangement of the plurality of Voronoi sites, (d) arranging the plurality of Voronoi sites within the 3D domain according to the defined spatial arrangement, and (e) partitioning the 3D domain based on the Voronoi site geometry of each the plurality of Voronoi sites defined in (b) and the spatial arrangement of the plurality of Voronoi sites defined in (c) using a distance function to create the space-filling solid model.
Partial simulation model creation, simulation and post-processing for rotational machines
Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.
Partial simulation model creation, simulation and post-processing for rotational machines
Data is received that comprises a full model for a physical object having a rotating part and a stationary part. The physical object includes fields coupled between the rotating part and the stationary part. A mesh is then generated for a portion of the physical object that includes a rotating mesh and a stationary mesh. Thereafter, a partial simulation model is created based on the full model and the mesh. Coupling relationships are established for the fields between the rotating mesh and the stationary mesh in the partial simulation model. The fields are then solved based on the coupling relationship of the partial simulation model. Thereafter, fields of the full model can be recovered based on the solved fields. Related apparatus, systems, techniques and articles are also described.
Mixed-reality surgical system with physical markers for registration of virtual models
An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.
Mixed-reality surgical system with physical markers for registration of virtual models
An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.
USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE SEAM PLACEMENT ON 3D MODELS
A method, computer system, and a computer program product for determining locations for seams on a 3D model of an object is provided. The present invention may include training an artificial intelligence model using a set of training data. The present invention may include generating a first model for the object using a shrink wrap method. The present invention may include generating a second model for the object using a decimation method. The present invention may include comparing the object to objects in the set of training data to identify an object in the training data having a similar shape. The present invention may include identifying the object by determining if the object fits in between the first and second models. The present invention may lastly include projecting seams onto a model of the object using the trained artificial intelligence model.