6 results about "Information modelling" patented technology

The invention discloses a BIM model automatic generation method and system based on point cloud data, and belongs to the field of building information modelling, and the transmission method comprises the steps: obtaining original point cloud data, and employing a filtering algorithm based on point cloud density adaptive adjustment to carry out the preprocessing of the point cloud data; constructing a voxel octree structure for the preprocessed point cloud data, and performing semantic classification on the point cloud; geometric modeling is carried out based on the segmented point cloud subsets, and a fitting algorithm is adopted to carry out shape completion on a point cloud area; semantic annotation is carried out on the components subjected to geometric reconstruction, a corresponding relation between component types and spatial attributes is constructed, fusion features based on a point feature histogram and a local curvature are adopted, and classification is carried out; a standard BIM component family is converted, and a three-dimensional BIM model is constructed through the mapping relation. According to the method, the voxel octree data structure and the deep semantic segmentation neural network model are combined, division and semantic recognition are performed on the point cloud data, the intelligent degree of the model is improved, and manual intervention is reduced.

A method of modifying a building information modelling (BIM) 3D building design comprises generating an initial BIM design having mechanical, electrical, and plumbing (MEP) components. An interface di

The invention discloses a satellite Internet of Things cloud edge intelligent collaborative information modeling method and system, and the method comprises the steps: constructing a four-layer meta-modeling architecture based on a unified modeling language (UML) (M3 meta-model layer defines a language basic structure, M2 meta-model layer generates a terminal description model, M1 application model layer stipulates equipment public attributes and behavior protocols, and M1 application model layer stipulates equipment public attributes and behavior protocols; the M0 object model layer provides a real-time data instance), and the problem of heterogeneous terminal standardization deficiency is solved; the method comprises the following steps of: integrating three elements, namely a static attribute (equipment identity information), a dynamic attribute (physical quantity change data), a message (abnormal state report) and a service (remote action command) to form a terminal holographic portrait; a JSON lightweight data exchange format is adopted to replace XML, and element information is serialized and described through a key value pair, so that the storage and transmission overhead is remarkably reduced. And B, unified description of a terminal model is realized, consistent data input is provided for cloud edge collaboration, the fault positioning efficiency is improved, and open sharing and fusion application of satellite Internet of Things data is supported.

The invention relates to an assembly, a head-worn unit, and a method for displaying construction-related data in an image of a construction site. The assembly is configured for performing the method comprising the steps of : digitizing, storing in a database, and managing construction-related data using Building Information Modelling (BIM); generating, on the basis of the digitized construction-related data, a virtual image comprising the construction-related data; displaying of the virtual image by means of a display provided for that purpose, and correct relative positioning of the virtual image and the image of the construction site with respect to each other. The head-worn unit is configured to be part of the assembly, and in particular for displaying construction-related data in combination with the virtual image in an image of the construction site by using Extended Reality (XR), in particular Augmented Reality (AR) or mixed Reality (MR).

The invention relates to the technical field of image feature extraction, in particular to a large-scale image efficient feature extraction and multi-scale information modeling method and system. The method comprises the steps of obtaining image data; performing data preprocessing on the acquired image data; performing feature extraction on the preprocessed image; a cascade architecture is adopted to construct a WSI classification model; the constructed WSI classification model is trained; and performing classification prediction by using the trained WSI classification model. According to the method, the calculation complexity of a self-attention mechanism is remarkably reduced through a feature clustering and hierarchical sampling strategy in a window scale attenuation attention (WSDA) module, so that the model can efficiently process a large-scale image containing tens of thousands of examples, and meanwhile, local correlation is modeled from coarse to fine through a multi-scale window attention mechanism, so that the accuracy of the model is improved. And the adaptability of the model to pathological structures with different scales is effectively improved.

The application relates to a medical service geographic information modeling method and a modeling platform. The modeling platform comprises a satellite remote sensing image acquisition unit, a DEM data acquisition unit, an image data processing unit, a thematic database input unit, a database and a front-end platform which are connected in communication with each other. The modeling method obtains a high-quality and continuously browsable frontier area map through image preprocessing, data splicing, color adjustment and data fusion of geographic information data, thereby providing guarantee for efficient and accurate data fusion. Thematic data is input into the database and is secondarily fused with the geographic information image. On the basis of the built database, multiple front-end platforms are developed, medical service data, disease data, drug support data, water quality data and system management data are visually displayed on the map, and the medical service efficiency and the medical service quality of remote areas are improved.