441 results about "Floor plan" patented technology

The invention relates to the technical field of intelligent analysis, and particularly discloses an indoor decoration intelligent analysis system and method based on user demands and spatial data, which utilizes an artificial intelligence technology based on deep learning to analyze and understand decoration demand information of a user and a plan graph of a house. Semantic features of user decoration demands and structure size features of a house are captured, and a decoration material list and quotation thereof are intelligently generated based on semantic interaction features between the user decoration demands and the structure size of the house. Therefore, the user can quickly obtain the decoration scheme meeting the requirements of the user and know the decoration cost in advance, the decoration efficiency is improved, and the time and the cost of the owner are saved.

Techniques are described for using computing devices to perform automated operations for analyzing visual data of images acquired at a building to determine building information that includes building dimensions. The automated determination of building dimensions and other building information may include determining estimated camera height for one or more camera devices while acquiring the images based on identified visible structural building objects of defined types, using the determined image scale information to further determine resulting building dimensions, and associating the building dimension data with a floor plan generated from analysis of the images. Information about such determined buildings may be used in various automated manners, including for controlling device navigation (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, for further analysis to identify shared and / or aggregate characteristics, etc.

Techniques are described for using data capture devices at a building to automatically generate a building floor plan and to determine associated absolute location data for the generated floor plan, such as by associating separately captured GPS data or other absolute location data with the floor plan. In some situations, a building floor plan is automatically generated by analyzing visual data of images captured at multiple image acquisition locations by a camera device to determine room shapes of surrounding rooms, and GPS absolute location data is associated with the generated floor plan using additional data captured at other data capture locations at the building by a separate mobile device that moves independently from the camera device, such as by extending the absolute location data from the mobile device to the camera device's image acquisition location and its surrounding room shape.

The invention discloses a house type recognition and three-dimensional reconstruction method and system based on grating images, and belongs to the technical field of house type image recognition. The method comprises the steps of 1, collecting and screening high-quality house type images suitable for national conditions of China regions, and constructing a grating house type image vector data set; 2, identifying walls, doors, windows and scales in the house type image based on a key point detection network, and generating and screening candidate primitives through an axial alignment rule and a constraint condition; step 3, detecting and positioning the endpoints of the scale by using a mode of combining Yolov8 and Shii-Tomasi angular point detection, and performing scale digital character recognition through a pre-trained multi-mode optical character recognition model OFA-OCR (Orthogonal Frequency Amplification-Optical Character Recognition); and step 4, designing and realizing a house type identification and three-dimensional reconstruction system based on a WebGL framework, and supporting rendering of reconstructed wall and door and window views, interaction of a user to the reconstructed house type, and forward and backward functions of house type operation historical records.

The invention relates to the technical field of three-dimensional modeling, in particular to a method for displaying a house type through fusion of a three-dimensional model and aerial oblique photography, and the method comprises the steps: extracting building contour features of a target house through employing aerial image data, and carrying out the preliminary space registration of the building contour features of the target house; feature points are set according to the spatial position of the target house, house attribute checking is carried out by using each feature point and the building contour features, image partition information is extracted, the structure of the target house is divided according to the image partition information, and an iterative segmentation result is obtained; setting an iterative segmentation result as a plurality of graph units, and setting an extended progressive graph corresponding to the graph units; according to the extended progressive graph, performing statistics on overlapping parts of the graph units to obtain a house type difference quantity; performing three-dimensional stretching on the house type difference quantity to obtain different distribution of each house type, correcting the target house by using the different distribution of each house type, and recursively updating the display category of the target house; and the house display precision and efficiency are improved.

Estimating materials of obstacles from a floor plan (310) is described. A floor plan is loaded (210) and preprocessed (215, 410). A material map (510) for the preprocessed floor plan is generated using a machine learning model for estimating materials of obstacles of the floor plan (220, 225). An obstacle map (610) is generated from the preprocessed floor plan that includes segmented obstacles as line segments. An augmented floor plan (710) is generated (225) based on a combination of the generated material map and the generated obstacle map, where the augmented floor plan identifies the estimated material of the segmented obstacles.

The present invention relates to a personalized interior design method based on a user's floor plan, comprising the following steps: analyzing the behavioral data of a target user to obtain the target user's preference parameters; performing vector conversion on the floor plan to obtain vector space relationship feature data; inputting the vector space relationship feature data and the space function arrangement parameters into a preset graph neural network for space layout to generate an initial furniture layout plan; screening the initial furniture layout plan to obtain a screened furniture layout plan; matching and designing the matching parameters with the screened furniture layout plan to obtain a matching design plan, and initially visualizing the matching design plan in a preset interactive interface to generate a three-dimensional visualization rendering. This method solves the technical problem that traditional interior design services are often costly and time-consuming, making them unaffordable for ordinary consumers, leading to a large imbalance between supply and demand in the market.

In various embodiments, a room-based design application automatically generates a design for a floor structure of a building. In operation, the room-based design application generates blocks representing portions of the floor structure that are delineated by walls based on a room plan included in a computer-aided design of the building. The room-based design application modifies the blocks based on a spanning length to generate partitions. Each partition represents a different portion of the floor structure that can be spanned by a structural element that has the spanning length in at least one direction. Based on the partitions, the room-based design application determines wall classifications for the walls. The room-based design application generates at least a portion of the design for the floor structure based on the wall classifications and the partitions.

A macroscopic simulation method and device for crowd evacuation considering the reduction of the pedestrian passing speed in crowded areas, which relate to the field of crowd evacuation simulation in buildings, solve the problems of how to judge the location where crowd congestion occurs and quantitatively calculate the reduction of the pedestrian passing speed at the congested location during the evacuation simulation process. The present invention provides the following solutions: the macroscopic simulation method includes: obtaining the building floor plan of the case to be analyzed, and converting the spatial information of the evacuation scene into an evacuation path geometric network model in the building; inputting the data of the evacuation path geometric network model in the building into the calculation program module of the improved macroscopic simulation method, that is, performing an evacuation process simulation analysis on the case to be analyzed, and calculating the reduction of the pedestrian passing speed at the congested location to obtain the evacuation process simulation result. It is also applicable to the global evacuation situation of large-scale crowd evacuation scenarios.

The embodiment of the invention provides a construction task distribution method and system based on construction drawings, and the method comprises the steps: obtaining a plurality of construction drawings corresponding to a target project, the plurality of construction drawings comprise a building plane drawing and a professional design drawing, and the professional design drawing takes the building plane drawing as a base drawing; identifying a room area from the building plane drawing; based on the professional design drawing and the room area, construction measures corresponding to the room area are determined; and based on the construction measures corresponding to the room area, determining a construction task corresponding to the room area, and distributing the construction task to a construction participant corresponding to the room area.

The invention relates to the technical field of virtual training, in particular to a firefighter search, rescue and escape virtual training method and system, and the system comprises a virtual scene dynamic construction module which abstracts a room and a corridor intersection into nodes according to a planar graph of a building, abstracts a door and a channel into edges with geometric distance weights, and carries out the virtual scene dynamic construction module; and responding to a fire spreading or structure collapse event in the virtual training, adjusting the weight of a corresponding edge to be infinite, obtaining a shortest path, and establishing a reference rescue path set. According to the method, through dynamic analysis of building plan structure information, rooms and corridor intersections are abstracted as nodes, doors and channels are abstracted as edges with geometric weights, the accessibility of the edges is adjusted in real time after fire spreading or structure collapse occurs, impassable conditions are introduced during path calculation, and the path calculation accuracy is improved. And the real-time adaptability and rescue simulation precision of the path generation process are improved.

Provided method and system for three-directional displacement monitoring of building by fusion of InSAR data and physical knowledge. Time-series LOS-directional deformation displacement of region of study, where building to be monitored is located, from each orbit is acquired based on periodical observation data of SAR satellite; time-unified LOS-directional time-series deformations from plurality of orbits are acquired using interpolation method; deformations in vertical and east-west directions are solved by establishing observation equation using interpolated multi-orbital LOS-directional deformation data; ratio of major-axis-directional deformation to minor-axis-directional deformation is calculated by calculating major-axis stiffness and minor-axis stiffness of each standard storey of building structure according to building structure plan, and establishing priori model of building structure using Equivalent Lateral Force method; deformation displacement of building structure in south-north direction is solved based on two-dimensional deformation result and with established priori model of building. The present invention can efficiently and accurately monitor building deformation.

The invention provides an underground building attribute information determination method, electronic equipment and a storage medium, and the method comprises the steps: obtaining an underground building image of a target underground building and carrying out the image correction, and obtaining a target underground building image; vectorizing the target underground building image to obtain underground building element images corresponding to the basement plane graph and the pile foundation plane graph; positioning the underground building element image based on the general plan and the topographic map, and determining the position of each building element; and determining attribute information of the target underground building structure based on the position and the element level of each building element. According to the invention, the indoor digital investigation method is adopted, the image and element information of the underground building is digitally acquired, and the digital technology of image correction, vectorization processing and space element positioning is combined for processing, so that the manpower and material resource cost is saved, and the progress and efficiency of underground building investigation are guaranteed.

The invention discloses an automatic design method and device for converting CAD into BIM and a related medium, and the method comprises the steps: obtaining an architectural design drawing, and recognizing and cleaning irrelevant primitives, hidden primitives and frozen primitives of the architectural design drawing, so as to generate an input drawing; analyzing a floor information table in the input drawing, generating floor structure data, and mapping an architectural plane graph corresponding to each floor by using the floor structure data based on a matching rule; carrying out classification processing and converting the data into structured data according to a preset BIM parameter standard; importing the structured data into BIM modeling software to generate a BIM model; and performing consistency check on the BIM model, adjusting layer mapping errors, and outputting a final BIM model. According to the method, the floor information table is analyzed, the professional data is classified and converted into the structured data, the structured data is imported into the BIM modeling software to generate the model, and the complete BIM model is finally output after consistency check and adjustment, so that the overall efficiency of modeling is improved.

The present invention is directed to a system and method for displaying interior design proposals for a given room according to known design principles and user preferences. The system is operative to convert user-input sketches and / or blueprints of two-dimensional space geometry into digital floor plans and identify and propose blocks of appliances and / or articles of furniture as design elements defined by their dimensions and any limiting characteristics. Each block is functionally and dimensionally appropriate for the floor plan based on user preferences, as filters, and floor plan limitations and may be defined by minimum space requirements, anchor point restrictions, and configuration restrictions. The system and method may further comprise visual tools for conveying a user's creative taste, style, and aesthetic for each floor plan, and be operative to display hyperlinked shopping lists in accordance with filtered blocks of design elements.

Aspects described herein relate to the automatic generation of floorplan layouts based on a floorplan image. Image data comprising an image of an area may be accessed. Based on the image data, a floorplan of the area may be determined. A determination of whether constraints associated with occupancy are met may be made. Based on the constraints being met, and based on the floorplan, a light zones map may be generated. Based on the light zones map, spatial zones corresponding to the light zones may be determined. Based on the spatial zones, candidate floorplan layouts may be generated. Based on application of metaheuristic algorithms or machine-learning models to the candidate floorplan layouts, a subset of candidate floorplan layouts may be selected from the plurality of candidate floorplan layouts. Furthermore, floorplan layout data comprising a subset of floorplan layouts for use by a design application may be generated.

Techniques are described for automated operations to analyze visual data from images acquired in multiple rooms of a building to generate multiple types of building information (e.g., to include a floor plan for the building), such as by simultaneously or otherwise concurrently analyzing groups of three or more images having at least pairwise visual overlap between pairs of those images to determine information that includes global inter-image pose and structural element locations, and for subsequently using the generated building information in one or more further automated manners, with the building information generation further performed in some cases without having or using information from any distance-measuring devices about distances from an image's acquisition location to walls or other objects in the surrounding room.

The invention discloses a building floor plan generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining building layer information and room information, and drawing a single line plan according to the building layer information and the room information; correcting the broken number of line segments in the single-line plane graph; generating an axis net based on the corrected single-line plane graph, generating a double-line wall and door and window graphic element according to the axis net, and obtaining a corresponding double-line plane graph; furniture primitives are arranged on the double-line planar graph; and generating a building core tube to obtain a final building house type image. According to the method, the single-line planar graph is drawn by obtaining the building layer and room information, the axis net is generated after the broken number of the line segments is corrected, then the wall and door and window primitives are generated according to the axis net to form the double-line planar graph, finally the furniture primitives are arranged according to the preset strategy, the core tube is further generated, and finally the complete building house type graph is obtained. In this way, the drawing of the house type large sample scheme depth can be accurately output, and therefore the production efficiency of house type products is greatly improved.

The invention relates to the field of engineering construction, and discloses a water plant pool wall construction simulation method, device and equipment and a storage medium, the method comprises the following steps: carrying out collision check on a structure model, a building model, a process model, a deodorization pipeline model and a scaffold model in a BIM model to obtain collision points in the BIM model; obtaining collision information corresponding to the collision point, in the collision information, obtaining a pipeline colliding with the wall body in the BIM model, adjusting the position or path of the pipeline, obtaining a pipeline bypassing the wall body, replacing the pipeline colliding with the wall body with the pipeline bypassing the wall body, and selecting the BIM model using the pipeline bypassing the wall body as a modified BIM model; and in the modified BIM model, obtaining a planar graph, a profile graph or an elevation graph of the water plant pool wall, selecting the planar graph, the profile graph or the elevation graph of the water plant pool wall as a target graph of the water plant pool wall, and selecting the target graph added with the construction information as a construction graph of the water plant pool wall. The overall process is simplified, and the construction efficiency is improved.

Disclosed embodiments perform automated design for buildings or portions of buildings and machine-generate architectural design and floor plans. Computer-implemented systems and methods of designing multi-unit buildings and portions of buildings include a set of one or more input requirements, a relationships module, an options placement system, a layout predictor system, and a design plan generator. The input requirements include one or more pre-defined footprints and may include local regulatory requirements such as building code, zoning, accessibility, among others. The design plan generator generates an architectural design plan for the building or portion of a building that can be built on the one or more pre-defined footprints. Disclosed systems and methods substantially reduce the design time and cost while increasing the profitability, sustainability and efficiency of construction projects.

Techniques are described for performing automatic operations using a computing device to analyze visual data of images acquired at a building to determine building information including building dimensions. Automatic determination of building size and other building information may include determining an estimated camera height for one or more camera devices based on an identified visible structure building object of a defined type while acquiring an image; further determining the resulting building size using the determined image scale information; and associating the building size data with a plan view generated from the image analysis. Information about such determined buildings may be used in a variety of automated ways, including for controlling device navigation (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, for further analysis to identify shared and / or aggregated features, and the like.

The invention discloses an automatic building plan generation method and system based on three-dimensional point cloud. The automatic building plan generation method comprises the following steps: acquiring three-dimensional point cloud data of a house; preprocessing the three-dimensional point cloud data to obtain a residence model; performing projection slicing on the residence model; carrying out region growth segmentation on the projection slice image; establishing a topological structure between the straight lines obtained by fitting in the projection slices by using a division result of region growth segmentation; and generating a house type diagram of the house by using the topological structure. The method is combined with a traditional method and a deep learning technology, has high universality, and can adapt to various room structures and complex scenes; through the RANSAC fitting technology, the accuracy of straight line detection is remarkably improved, the method can be used for refined design, and the residence measurement efficiency and the user experience of home decoration scenes are improved.

A multi-level data centre building 9001 has multiple floors within a first building envelope 903, with each floor (in plan view here fig 11 - figs 9, 10 show side views) accommodating rack storage are

Devices, systems, and methods for fire system floor plan layout generation are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to receive a floor plan layout of a space, define, via an object placement model utilizing the floor plan layout, placement locations of fire system objects for the floor plan layout, and generate, using the object placement model, a fire system floor plan for a fire system for the space including the fire system objects, wherein the fire system objects are located in the defined placement locations on the fire system floor plan from the floor plan layout.

Techniques for two-dimensional (2D) image processing to generate a three-dimensional (3D) model and determine a 2D plan are described herein. In an example, a 3D model of a room can be generated by using a video file portion of a video file as a first input to a first machine learning (ML) model. Semantic segmentation of the room can be generated by using the video file portion as a second input to a second ML model. The semantic segmentation may indicate that an object having an object type is shown in a first image frame of the video file portion. A 3D representation of the object in the 3D model can be determined. The 3D model can be corrected by setting a property of the 3D representation to a predefined value. A 2D floor plan of the room can be generated based on the corrected 3D model.

Techniques are described for automated operations to analyze visual data from images acquired in multiple rooms of a building to generate building information that may include a floor plan for the building, such as by analyzing visual overlap between those images to determine information that includes global inter-image pose and locations of walls and optionally other structural elements, and by using the generated building information in further automated manners. In some situations, the described techniques include using a combination of a trained diffusion transformer machine learning model and a bundle adjustment optimizer to determine global inter-image pose and wall location data and to use that data to generate a resulting floor plan for the building, such as to operate in parallel or with the bundle adjustment optimizer as a layer within the diffusion model that provides guidance for its automated determinations.

The invention discloses a semantic prompt automatic labeling method in a building construction scene, and relates to the technical field of intelligent construction, and the method comprises the steps: collecting a construction plan, on-site surveying and mapping data and real-time environment information, dividing a construction site into construction operation units, and extracting task features to generate a task priority coefficient Kt and a scene state vector Ei; calculating a semantic prompt priority index SPI based on Kt and Ei, sorting prompt words, and mapping the prompt words into feature vectors through BERT; extracting image global features by using a visual model, performing weighted fusion on the image global features and semantic prompt features, and outputting a detection region set; through comparative analysis of a semantic consistency coefficient Ssem and a threshold value Qsc, optimal prompt phrases are optimized and combined to generate a multi-granularity labeling structure; and calculating a semantic anomaly coefficient SAI by adopting cross-modal cosine similarity, comparing the semantic anomaly coefficient SAI with a threshold value Qsai to judge whether the annotation is abnormal or not, and realizing anomaly correction, history comparison and responsibility judgment by recording and tracking the whole process of the annotation link.

Provided is a first wheeled device, including a chassis; wheels; a plurality of sensors; at least one camera; a processor; a medium storing instructions that when executed by a processor effectuates operations including capturing first readings indicative of displacement; capturing second readings indicative of movement of the wheels; capturing third readings comprising images of an environment wherein an image of an unanticipated obstacle is transmitted to an application; identifying a location of the first wheel device in respect to the environment; generating a digital representation of a floor plan of the environment; determining areas of the environment covered; identifying rooms in the digital representation; transmitting status information of at least one task to the application, wherein the status indicating completion of the at least one task initiates a second wheeled device to perform a complementary task to the at least one task.

Techniques are described for using computing devices to perform automated operations for using generated building information to further generate and present visual data enhancements on images that are captured by and displayed on a mobile device in the building (e.g., concurrent with capture of the images by a camera of the mobile device, such as in a real-time or near-real-time manner with respect to image capture), such as using descriptive information about a building that is generated from analysis of acquired building images and optionally other building information (e.g., floor plans), and such as to improve navigation of the building (e.g., for autonomous vehicles) and provide other functionality as the mobile device moves through the building. The descriptive building information may include structural elements and other objects identified in the building and other determined attributes of the building, and automatically generated textual descriptions of the objects and other attributes.

A method of determining a probability of a fire occurring in one or more rooms of a building, comprising: determining a geometry of a room in response to a floor plan; determining whether one or more items are located within the room and a combustibility of each of the one or more items; determining whether one or more hazards are located within the room; and determining a probability of a fire occurring in the room in response to at least one or more items being located within the room, the combustibility of each of the one or more items, and the one or more hazards being located within the room.