A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.

A method for updating process objects of an automation project stored in an engineering system, wherein an automation device is designed and/or configured via the engineering system to control a technical process and wherein, furthermore, the technical process to be controlled can be operated and monitored via an operator system in which changes to process objects made during the run-time are not lost but secured and are automatically “updated” or “traced” in the engineering system.

Systems and methods for selecting potential well locations in a reservoir grid model using a bounding box with grid-block dimensions to calculate a total original gas-in-place (OGIP) and/or original oil-in-place (OOIP) for each bounding box associated with a potential well location.

A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

Document spaces are used for intermediate technical documents created for a model with a displayed 3D model view. A document space is a finite volume having a location in the global three-dimensional coordinate system of the model and a reference to a technical document. A displayed document space in the displayed model view illustrates where one or more model parts, or corresponding pieces of model parts, which are included in the technical document, locate.

Document spaces are used for intermediate technical documents created for a model with a displayed 3D model view. A document space is a finite volume having a location in the global three-dimensional coordinate system of the model and a reference to a technical document. A displayed document space in the displayed model view illustrates where one or more model parts, or corresponding pieces of model parts, which are included in the technical document, locate.

The present invention concerns a method for generating technical design solutions satisfying a given performance target for a building. The method comprises: selecting a design model for the building; selecting a first set of design parameters from a first database; qualifying and/or quantifying the design parameters in the first set; generating a first set of design parameter combinations from the first set of design parameters; attributing the first set of design parameter combinations to the design model to obtain a first set of design alternatives; accessing a second database to determine the impact of the first set of design alternatives on a performance of the building; and ranking the first set of design parameters according to their contribution to the performance of the building.

A spatial-information generation apparatus according to an embodiment of the present invention includes a reference-plane acquirer, a simplification-section setter, and a shape simplifier. The reference-plane acquirer acquires, on the basis of a first spatial object related to a first space, first attribute information indicating attributes of the first spatial object, and first relation information indicating a relation between the first spatial object and objects of other constituent elements of the building, a reference plane object related to a plane of a part of the first space from the first spatial object and generates a shape of the reference plane object. The simplification-section setter sets a simplification section, which is a target to be simplified, in the shape of the reference plane object. The shape simplifier simplifies the shape of the reference plane object in the simplification section to thereby generate the reference plane object in the simplified shape.

A method comprises performing an analysis of airflow and temperature distribution in an indoor environment utilizing a hybrid turbulence model including a Chen-Xu model used for analysis of bulk flow and a wall function used in first grid cells bounding solid objects in the indoor environment and adjusting physical layout and/or operating parameters of heat producing electrical equipment and/or a cooling system of the indoor environment responsive to results of the analysis to improve one of temperature distribution within the indoor environment and operating efficiency of the cooling system of the indoor environment.