CN114329744A - House type reconstruction method and computer readable storage medium - Google Patents
House type reconstruction method and computer readable storage medium Download PDFInfo
- Publication number
- CN114329744A CN114329744A CN202210200457.1A CN202210200457A CN114329744A CN 114329744 A CN114329744 A CN 114329744A CN 202210200457 A CN202210200457 A CN 202210200457A CN 114329744 A CN114329744 A CN 114329744A
- Authority
- CN
- China
- Prior art keywords
- node
- house type
- room
- information
- edge
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present disclosure provides a house type reconstruction method and a computer readable storage medium, relating to the technical field of house type design processing, wherein the method comprises the following steps: constructing a first house type structure chart based on the house type elements and the attribute characteristic information, carrying out house type element transformation operation on the first house type structure chart according to the house type transformation demand information and adjusting the corresponding attribute characteristic information to generate a second house type structure chart; generating a second house type graph corresponding to the modified house type based on the second house type structure graph; the method and the storage medium can perform basic user-to-user operation, ensure that the room layout information and the scale information after the user-to-user operation are reasonable, and meet the user requirements; the house type is transformed on the level of the graph structure, so that the method is convenient and efficient; the house type reconstruction is automatically carried out, the generation efficiency of the recommended house type reconstruction scheme is high, and the customer experience is effectively improved.
Description
Technical Field
The present disclosure relates to the field of house type design and display technologies, and in particular, to a house type modification method and apparatus, an electronic device, and a storage medium.
Background
In the field of house type design technology, house type transformation of a house is required in many cases. At present, when house type modification of a house is carried out, a designer communicates with an owner and provides a recommended house type modification scheme for the owner. However, in actual work, the house type graph composed of geometric figures is difficult to perform house type reconstruction operation, a designer and an owner determine a house type reconstruction scheme for a long time, efficiency is low, and at present, no technical scheme capable of automatically performing house type reconstruction exists, and user experience is poor.
Disclosure of Invention
The present disclosure is proposed to solve the above technical problems. The embodiment of the disclosure provides a house type transformation method and device, electronic equipment and a storage medium.
According to a first aspect of the embodiments of the present disclosure, there is provided a house type modification method, including: acquiring a house type element and attribute feature information corresponding to the house type element in a first house type graph corresponding to a house type to be reconstructed; constructing a first house type structure diagram based on the house type elements and the attribute characteristic information; according to the house type transformation demand information, carrying out house type element transformation operation on the first house type structure chart and adjusting corresponding attribute characteristic information so as to generate a second house type structure chart; and generating a second house type graph corresponding to the modified house type based on the second house type structure graph.
Optionally, the house type elements include: node elements and edge elements; the attribute feature information includes: node attribute feature information and edge attribute feature information; the acquiring the house type elements and the attribute feature information corresponding to the house type elements in the first house type graph corresponding to the house type to be modified comprises the following steps: acquiring the node elements and the edge elements in the first user type graph; extracting node attribute feature information and edge attribute feature information corresponding to the node elements and the edge elements respectively; wherein the node elements include: one or more of a room, a window, a door and a bealock; the edge elements include: one or more of adjoining sides and connecting sides of the room.
Optionally, the node attribute feature information includes: one or more of node type information, node location information, and node size information; the edge attribute feature information includes: one or more of side type information, side position information; the constructing a first house type structure diagram based on the house type elements and the attribute characteristic information comprises the following steps: generating a first house type structure chart corresponding to the first house type chart, and carrying out gridding processing on the first house type structure chart; setting a node corresponding to the node element in the first house type structure chart according to the node position information; wherein the node comprises: one or more of a room node, a window node, a door node and a puerto node; the size of the node is used for representing the area size of the node element; setting a node attribute eigenvector corresponding to the node according to the node type information, the node position information and the node size information; according to the edge type information and the edge position information, connecting the room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines; wherein the adjoining side connecting line and the communicating side connecting line respectively represent the adjoining side and the communicating side; and setting corresponding type numbers for the adjacent edge connecting line and the communicating edge connecting line.
Optionally, the setting, according to the node type information, the node location information, and the node size information, a node attribute feature vector corresponding to the node includes: generating a type vector corresponding to the type of the node according to the node type information; generating a position vector corresponding to the grid position occupied by the node in the first house type structure chart according to the node position information; generating an area interval vector corresponding to the ratio between the area of the node and the total area of the first house type structure chart according to the node size information; generating a node attribute feature vector of the node based on the type vector, the location vector, and the area interval vector.
Optionally, the performing, according to the house type modification demand information, the house type element modification operation on the first house type structure diagram and adjusting the corresponding attribute feature information includes: according to the house type reconstruction demand information, reconstructing the room nodes in the first house type structure chart and setting corresponding node attribute feature vectors; and adjusting the adjacent edge connecting line and the communicating edge connecting line according to the room node transformation processing result, and setting a corresponding type number.
Optionally, the modification process is to add room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises: selecting grids which are not occupied by any node from the first house type structure chart as candidate grids; determining a target grid in the candidate grids, and generating a new room node based on the target grid; the adjusting the adjacent edge connecting line and the communicating edge connecting line comprises: and connecting the new room node with other room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines.
Optionally, the connecting between the new room node and the other room nodes by using an adjacent edge connection line and/or a connected edge connection line comprises: if the grid distance between the new room node and other room nodes is smaller than or equal to the grid distance threshold value, establishing adjacent edge connection and/or connected edge connection between the new room node and the other room nodes; and if the new room node is positioned between two other room nodes, deleting the adjacent edge connecting line and the communicating edge connecting line between the two other room nodes.
Optionally, the modifying process is deleting room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises: deleting room nodes in the first house type structure chart and deleting adjacent edge connecting lines and communicating edge connecting lines connected with the room nodes; the transformation processing is to exchange room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises: in the first house type structure diagram, position exchange processing is carried out among target room nodes; the transformation process is to increase or decrease the size of the room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises: in the first house type structure diagram, the sizes of the target room node and the neighbor target room node are increased or decreased.
Optionally, the modified size of the target room node that is newly added, increased or decreased is:
wherein Δ S is the modified size, N is the number of neighboring target room nodes of the target room node,
is the scale contribution ratio, S, of the neighboring target room nodeiIs the size of the neighboring target room node,
is proportional to Si。
Optionally, the generating a second house type diagram corresponding to the modified house type based on the second house type structure diagram includes: generating a second house type graph based on the second house type structure graph by using the trained house type graph generation model; wherein the floor plan generation model comprises a GNN model.
According to a second aspect of the embodiments of the present disclosure, there is provided a house type renovation apparatus, comprising: the information acquisition module is used for acquiring the house type elements and the attribute characteristic information corresponding to the house type elements in a first house type graph corresponding to the house type to be reconstructed; the structure chart generating module is used for constructing a first house type structure chart based on the house type elements and the attribute characteristic information; the structure chart reconstruction module is used for performing house type element reconstruction operation on the first house type structure chart according to the house type reconstruction demand information and adjusting corresponding attribute characteristic information so as to generate a second house type structure chart; and the modified house type generating module is used for generating a second house type graph corresponding to the modified house type based on the second house type structure graph.
Optionally, the house type elements include: node elements and edge elements; the attribute feature information includes: node attribute feature information and edge attribute feature information; the information acquisition module is used for acquiring the node elements and the edge elements in the first user type graph; extracting node attribute feature information and edge attribute feature information corresponding to the node elements and the edge elements respectively; wherein the node elements include: one or more of a room, a window, a door and a bealock; the edge elements include: one or more of adjoining sides and connecting sides of the room.
Optionally, the node attribute feature information includes: one or more of node type information, node location information, and node size information; the edge attribute feature information includes: one or more of side type information, side position information; the structure chart generation module comprises: the gridding unit is used for generating a first house type structure chart corresponding to the first house type chart and carrying out gridding processing on the first house type structure chart; a node generating unit, configured to set a node corresponding to the node element in the first house type structure diagram according to the node location information; wherein the node comprises: one or more of a room node, a window node, a door node and a puerto node; the size of the node is used for representing the area size of the node element; setting a node attribute eigenvector corresponding to the node according to the node type information, the node position information and the node size information; an edge generating unit, configured to connect between the room nodes using an adjacent edge connection line and/or a connected edge connection line according to the edge type information and the edge position information; wherein the adjoining side connecting line and the communicating side connecting line respectively represent the adjoining side and the communicating side; and setting corresponding type numbers for the adjacent edge connecting line and the communicating edge connecting line.
Optionally, the node generating unit is specifically configured to generate a type vector corresponding to the type of the node according to the node type information; generating a position vector corresponding to the grid position occupied by the node in the first house type structure chart according to the node position information; generating an area interval vector corresponding to the ratio between the area of the node and the total area of the first house type structure chart according to the node size information; generating a node attribute feature vector of the node based on the type vector, the location vector, and the area interval vector.
Optionally, the structural diagram reconstruction module includes: the node reconstruction unit is used for reconstructing the room nodes in the first house type structure chart and setting corresponding node attribute characteristic vectors according to the house type reconstruction demand information; and the edge transformation unit is used for adjusting the adjacent edge connecting line and the communicating edge connecting line according to the transformation processing result of the room node, and setting a corresponding type number.
Optionally, the modification process is to add room nodes; the node reconstruction unit is used for selecting grids which are not occupied by any node in the first house type structure chart as candidate grids; determining a target grid in the candidate grids, and generating a new room node based on the target grid; and the edge transformation unit is used for connecting the new room node and other room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines.
Optionally, the edge modification unit is configured to establish an adjacent edge connection line and/or a connected edge connection line between the new room node and another room node if the grid distance between the new room node and the other room node is less than or equal to a grid distance threshold; and if the new room node is positioned between two other room nodes, deleting the adjacent edge connecting line and the communicating edge connecting line between the two other room nodes.
Optionally, the modifying process is to delete a room node, where the node modifying unit is configured to delete a room node in the first house type structure diagram; the edge transformation unit is used for deleting adjacent edge connecting lines and communicating edge connecting lines connected with the room nodes; the transformation processing is room node exchange, wherein the node transformation unit is used for performing position exchange processing between target room nodes in the first house type structure diagram; the modification process is to increase or decrease the size of a room node, wherein the node modification unit is configured to increase or decrease the size of a target room node and a neighboring target room node in the first house type structure diagram.
Optionally, the modified size of the target room node that is newly added, increased or decreased is:
wherein Δ S is the modified size, N is the number of neighboring target room nodes of the target room node,
is the scale contribution ratio, S, of the neighboring target room nodeiIs the size of the neighboring target room node,
is proportional to Si。
Optionally, the modified house type generating module is configured to generate the second house type diagram based on the second house type structure diagram by using a trained house type diagram generating model; wherein the floor plan generation model comprises a GNN model.
According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the method as described above.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; the processor is used for executing the method.
Based on the house type modification method and device, the electronic equipment and the storage medium provided by the embodiment of the disclosure, the house type graph formed by the geometric figures is abstracted into a graph structure convenient for global operation, so that basic house type modification operation can be performed, the room layout information and the scale information after the house type modification are reasonable, and the user requirements are met; the house type is transformed on the level of the graph structure, so that the method is convenient and efficient; the house type reconstruction is automatically carried out, the generation efficiency of the recommended house type reconstruction scheme is high, and the customer experience is effectively improved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure, and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 is a flow chart of one embodiment of a house improvement method of the present disclosure;
fig. 2 is a flowchart of constructing a first house type structure diagram in an embodiment of the house type modification method of the present disclosure;
FIG. 3 is a schematic diagram of a first house type structure;
FIG. 4 is a flow chart of a retrofit process in one embodiment of a house retrofit method of the present disclosure;
FIG. 5 is a second house type structure view with room nodes added;
FIG. 6A is a view of a home, FIG. 6B is a view of a modified home with bedrooms added, and FIG. 6C is a view of a modified home with toilets added;
FIG. 7 is a schematic structural diagram of one embodiment of a dwelling retrofit installation of the present disclosure;
FIG. 8 is a block diagram of a block diagram generation module in an embodiment of the house retrofit installation of the present disclosure;
FIG. 9 is a block diagram representation of a construction retrofit module in one embodiment of a dwelling retrofit installation of the present disclosure;
FIG. 10 is a block diagram of one embodiment of an electronic device of the present disclosure.
Detailed Description
Example embodiments according to the present disclosure will be described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present disclosure are used merely to distinguish one element from another, and are not intended to imply any particular technical meaning, nor is the necessary logical order between them.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more than two and "at least one" may refer to one, two or more than two.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, such as a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the embodiments in the present disclosure emphasizes the differences between the embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the present disclosure may be implemented in electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with an electronic device, such as a terminal device, computer system, or server, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment. In a distributed cloud computing environment, tasks may be performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Summary of the application
In the process of implementing the present disclosure, the inventor finds that, in the existing house type modification method, the time for determining the house type modification scheme by the designer and the owner is long, the efficiency is low, and no technical scheme capable of automatically performing the house type modification exists, so a new house type modification technical scheme is needed.
The house type reconstruction method comprises the steps of constructing a first house type structure chart based on house type elements and attribute characteristic information, carrying out house type element reconstruction operation on the first house type structure chart according to house type reconstruction demand information, adjusting corresponding attribute characteristic information, and generating a second house type structure chart; generating a second house type graph corresponding to the modified house type based on the second house type structure graph; by abstracting the house type graph formed by the geometric figures into a graph structure convenient for global operation, basic house-to-house operation can be performed, the reasonable room layout information and scale information after house-to-house operation are ensured, and the user requirements are met; the house type is transformed on the level of the graph structure, so that the method is convenient and efficient; the house type reconstruction is automatically carried out, the generation efficiency of the recommended house type reconstruction scheme is high, and the customer experience is effectively improved.
Exemplary method
Fig. 1 is a flowchart of an embodiment of a house improvement method of the present disclosure, and the method shown in fig. 1 includes the steps of: S101-S104. The following describes each step.
S101, acquiring a house type element and attribute feature information corresponding to the house type element in a first house type graph corresponding to a house type to be modified.
In one embodiment, the house type to be modified can be a plurality of house types, such as a one-room one-hall house type, a two-room one-hall house type, and the like. The house type elements comprise node elements, edge elements and the like in the first house type graph, and the attribute characteristic information comprises node attribute characteristic information, edge attribute characteristic information and the like. For example, the first layout is a CAD drawing, and layout elements and corresponding attribute feature information are acquired from the CAD drawing. The first user type Graph is a picture, and machine learning models such as a trained GNN (Graph Neural Networks) model and the like are used for identifying the first user type Graph to obtain user type elements and corresponding attribute feature information.
Various methods may be employed to obtain the house type elements and the attribute feature information corresponding to the house type elements in the first house type diagram. For example, a node element and an edge element are obtained from a first household graph, node attribute feature information and edge attribute feature information corresponding to the node element and the edge element respectively are extracted, and the node element comprises one or more of a room, a window, a door, a bealock and the like; the edge element comprises one or more of adjacent edges, communication edges and the like of the room; the node attribute feature information comprises node type information, node position information, node size information and the like; the side attribute feature information includes side type information, side position information, and the like.
S102, constructing a first house type structure diagram based on the house type elements and the attribute characteristic information.
S103, according to the house type transformation demand information, carrying out house type element transformation operation on the first house type structure chart and adjusting corresponding attribute characteristic information so as to generate a second house type structure chart.
In one embodiment, the user type improvement demand information of the user can be determined according to the input information of the user, or the historical improvement demand and the historical house decoration information of the user are analyzed by adopting various existing methods to obtain the user portrait, and the user type improvement demand information of the user is determined according to the user portrait. The information of the house type reconstruction demand comprises information of adding a bedroom, increasing the area of a living room, opening a kitchen and the like.
And S104, generating a second house type graph corresponding to the modified house type based on the second house type structure graph.
In one embodiment, a plurality of methods may be employed to construct the first subscriber profile based on the subscriber element and the attribute feature information. Fig. 2 is a flowchart of constructing a first house type structure diagram in an embodiment of the house type renovation method of the present disclosure, and the method shown in fig. 2 includes the steps of: S201-S205. The following describes each step.
S201, generating a first house type structure chart corresponding to the first house type chart, and carrying out gridding processing on the first house type structure chart.
And S202, setting a node corresponding to the node element in the first house type structure chart according to the node position information. The nodes comprise one or more of room nodes, window nodes, door nodes, bealock nodes and the like, and the size of each node is used for representing the area size of each node element.
And S203, setting a node attribute feature vector corresponding to the node according to the node type information, the node position information and the node size information.
In one embodiment, a type vector corresponding to the type of the node is generated according to the node type information. And generating a position vector corresponding to the grid position occupied by the node in the first house type structure chart according to the node position information. And generating an area interval vector corresponding to the ratio of the area of the node to the total area of the first house type structure chart according to the node size information. And generating a node attribute feature vector of the node based on the type vector, the position vector and the area interval vector.
And S204, connecting the room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines according to the edge type information and the edge position information. The adjacent edge connecting line and the communicating edge connecting line respectively represent the adjacent edge and the communicating edge.
S205, corresponding type numbers are set for the adjacent edge connecting line and the communicating edge connecting line.
In one embodiment, a first house type map FP corresponding to a house type to be modified is obtained, the FP has an outer contour B and contours Ci of rooms, and various structural bodies are arranged on wall lines, and the structural bodies can be windows, doors, beaks and the like. And acquiring information of each room, window, door, bealock and the like in the first household graph. A first house type structure diagram G (V, E) corresponding to the first house type diagram is generated, wherein V is each vertex and is a room. Abstractions of windows, gates, beaks, etc.; and E is an edge, namely an adjacent edge EN and a communication edge EC.
The node attribute feature information includes node type information, node location information, node size information, and the like, that is, the node attribute includes type (category), location (position), scale (scale), and the like. For type attributes, 13 types are supported in total, and the types comprise bedroom, bathroom, living room, window, door and the like. And constructing a 13-dimensional one-hot type, and setting a dimension value corresponding to the 13-dimensional one-hot type as 1 if the node belongs to which type, so as to generate a type vector corresponding to the type of the node, wherein the type vector is a 13-dimensional vector.
And carrying out gridding processing on the first house type structure chart, and equally dividing the first house type structure chart into 9-by-9 grids. And for the position attribute, constructing an 81-dimensional one-hot type, setting a dimension value corresponding to the occupied grid as 1 when the node occupies the grids in the first house type structure chart, and generating a position vector corresponding to the grid position occupied by the node in the first house type structure chart, wherein the position vector is an 81-dimensional vector.
And for the scale attribute, dividing the area of the node by the area of the whole house type to obtain the area ratio of the node. 0-1 is divided into 20 equal parts, each divided into an interval. And constructing a 20-dimensional one-hot, setting the area ratio of the type node in which section, setting the corresponding dimension value as 1, and generating an area section vector corresponding to the proportion between the area of the node and the total area of the first house type structure chart, wherein the area section vector is a 20-dimensional vector.
And connecting the type vector, the position vector and the area interval vector to generate node attribute feature vectors of the nodes, wherein the attribute value corresponding to each node is a 114-dimensional multi-hot vector (node attribute feature vector). The nodes in the first house type structure diagram include not only room nodes but also structural bodies such as windows and doors.
The adjacent edges are walls which are connected with two rooms together; the communicating edge is a wall that connects the two rooms together, and this wall provides a way to communicate the two rooms. The adjacent Vi and Vj are two room nodes, the Vi room is taken as an origin, and the Vj room is positioned in different directions of the Vi room and corresponds to different types of adjacent edges EN. For two room nodes Vi and Vj, the communication edges EC between the two room nodes are of four types, which are respectively: the system is connected through a single door (type 0), through a sliding door (type 1), through a bealock (type 2) and through a virtual wall (type 3). The door window and room edge type is a special adjacent edge called as a subordinate edge and is provided with a type number of the door window and room edge type. And connecting the room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines according to the edge type information and the edge position information, and setting corresponding type numbers for the adjacent edge connecting lines and/or the communicating edge connecting lines.
For example, the first house type structure diagram is generated as shown in fig. 3, wherein triangle Δ is a door and window node, circle is a room node, and the size of the node represents the size of the node area. The connecting line between the nodes represents an edge, represents an adjacent edge connecting line or a connected edge connecting line, and the number on the edge represents the type of the edge.
In one embodiment, a plurality of methods may be used to perform the house-type element modification operation on the first house-type structure diagram and adjust the corresponding attribute feature information. Fig. 4 is a flowchart of a modification process in an embodiment of the house type modification method of the present disclosure, and the method shown in fig. 4 includes the steps of: S401-S402. The following describes each step.
S401, according to the house type reconstruction demand information, reconstructing the room nodes in the first house type structure chart and setting corresponding node attribute feature vectors. The modification process includes adding room nodes, deleting room nodes, increasing or decreasing the size of room nodes, exchanging the positions of room nodes, and the like.
S402, adjusting the adjacent edge connecting line and the communicating edge connecting line according to the room node transformation processing result, and setting the corresponding type number.
For example, the transformation processing is to add room nodes, and grids which are not occupied by any node are selected from the first house type structure diagram to serve as candidate grids; and determining a target grid in the candidate grids, generating a new room node based on the target grid, and connecting the new room node and other room nodes by using adjacent edge connecting lines and communicating edge connecting lines.
If the grid distance between the new room node and other room nodes is smaller than or equal to the grid distance threshold, an adjacent edge connection line and/or a connected edge connection line is established between the new room node and the other room nodes, and the grid distance threshold can be 3, 4, 5 grids and the like. And if the new room node is positioned between two other room nodes, deleting the adjacent edge connecting line and the connecting edge connecting line between the two other room nodes.
The modification processing is to delete room nodes, delete the room nodes in the first house type structure chart and delete adjacent edge connecting lines and communicating edge connecting lines connected with the room nodes. The modification process is a room node exchange process, and in the first house type configuration diagram, a position exchange process is performed between target room nodes. The transformation process is to increase or decrease the size of the room nodes, and in the first house-type architectural diagram, the size of the target room node and the neighboring target room nodes.
In one embodiment, the modification of the house type is processed by adding a room node, selecting a suitable location and establishing an edge connection with the surrounding room. As shown in fig. 5, five stars in the first house type structure diagram are four-star candidate grid positions of the newly added node, and all candidate positions are scored by using the existing scoring rule, where the scoring rule is multiple, for example, a room needs a window, and the rooms cannot be blocked mutually. And arranging the scores from high to low in sequence, finally obtaining an optimal adding position, determining a target grid, generating a new room node based on the target grid, and obtaining a new second house type structure diagram, wherein the new second house type structure diagram is shown by a dotted line box in fig. 5.
And deleting the candidate room nodes and deleting the edges connected with the candidate room nodes to obtain a new second house type structure chart. When the size of a certain room node is increased or decreased, the size of the current room is modified, and the size is correspondingly decreased and increased. For example, the size ratio of the current room is 0.24, corresponding to a one-hot vector with dimension 4 of 1. After the room is reduced, a new second house type structure diagram is obtained corresponding to the one-hot vector with the dimension 3 of 1 (the real ruler memory ratio is set to be 0.175), and after the room is increased, a new one-hot vector with the dimension 5 of 1 (the real ruler memory ratio is set to be 0.275). And when the positions of the two room nodes are exchanged, exchanging the positions of the two room nodes, namely exchanging the positions and the sizes of the rooms to obtain a new second house type structure diagram.
And adaptively adjusting the dimension information of the edge and room nodes. For example, for a node newly added, if the distance between a certain node and the grid is less than or equal to 3 grids, an adjacent edge and a connected edge are established. If the newly added room node is between some two room nodes, the edge connection between the two room nodes is deleted. The modified size of the target room node which is newly added, increased or reduced is as follows:
wherein Δ S is the modified size, N is the number of neighboring target room nodes of the target room node,
is the scale contribution ratio, S, of the neighboring target room nodeiIs the size of the neighboring target room node,
is proportional to Si。
In one embodiment, generating the second house type graph corresponding to the modified house type may employ a variety of methods. And generating a second house type graph based on the second house type structure graph by using the trained house type graph generation model, wherein the house type graph generation model comprises various machine learning models such as a GNN model and the like.
For example, a large number of second historical house type structure diagrams and second historical house type diagrams are acquired and labeled by using the existing model training method, training samples are generated, and the GNN model and the like are trained by using the training samples to obtain the trained GNN model and other models. And inputting the second house type structure chart into a trained GNN model and other models, and outputting a second house type chart. As shown in fig. 6A to 6C, the house type element modification operation is performed on the first structural diagram, and the corresponding attribute feature information is adjusted, so as to finally generate a second house type diagram corresponding to the modified house type.
In the house type transformation method in the embodiment, the house type graph composed of the geometric figures is abstracted into a graph structure convenient for global operation, each room, window, door and the like are nodes in the graph structure, edges among the nodes represent the adjacent relation and the communication relation of the rooms, and the room nodes have the attributes of type, position and size; the method can perform basic household modification operation, ensures that room layout information, scale information and the like after the household modification are reasonable, meets the user requirements, performs household type modification on the level of the graph structure, and is convenient, fast and efficient.
Exemplary devices
In one embodiment, as shown in fig. 7, the present disclosure provides a house type reconstruction apparatus, which includes an information obtaining module 701, a structural diagram generating module 702, a structural diagram reconstructing module 703 and a reconstructed house type generating module 704. The information obtaining module 701 obtains the house type element and the attribute feature information corresponding to the house type element in the first house type graph corresponding to the house type to be modified. The configuration diagram generation module 702 constructs a first user-type configuration diagram based on the user-type elements and the attribute feature information.
The structure diagram reconstruction module 703 performs a house type element reconstruction operation on the first house type structure diagram according to the house type reconstruction demand information and adjusts corresponding attribute feature information to generate a second house type structure diagram. The modified house type generating module 704 generates a second house type diagram corresponding to the modified house type based on the second house type structure diagram. For example, the modified house type generation module 704 generates a second house type diagram based on the second house type structure diagram by using the trained house type diagram generation model, and the house type diagram generation model includes the GNN model and the like.
In one embodiment, the house type elements comprise node elements, edge elements and the like, and the attribute feature information comprises node attribute feature information, edge attribute feature information and the like. The information obtaining module 701 obtains node elements and edge elements in the first house type graph, and extracts node attribute feature information and edge attribute feature information corresponding to the node elements and the edge elements respectively, where the node elements include one or more of a room, a window, a door, a bealock, and the like, and the edge elements include one or more of an adjacent edge and a connected edge of the room.
The node attribute feature information includes one or more of node type information, node location information, node size information, and the like. The side attribute feature information includes one or more of side type information, side location information, and the like. As shown in fig. 8, the structure diagram generation module 702 includes: gridding section 7021, node generation section 7022, and edge generation section 7023. Gridding unit 7021 generates a first house type configuration diagram corresponding to the first house type diagram, and performs gridding processing on the first house type configuration diagram. Node generating unit 7022 sets a node corresponding to the node element in the first house type structure diagram according to the node position information, where the node includes one or more of a room node, a window node, a door node, a bealock node, and the like, and the size of the node is used to represent the area size of the node element.
Node generating unit 7022 sets a node attribute feature vector corresponding to the node according to the node type information, the node position information, and the node size information. The edge generating unit 7023 connects the room nodes using an adjacent edge connection line and/or a connected edge connection line according to the edge type information and the edge position information; wherein the adjacent edge connecting line and the communicating edge connecting line respectively represent the adjacent edge and the communicating edge; the edge generating unit 7023 sets a corresponding type number to the adjacent edge connecting line and the connected edge connecting line.
Node generating section 7021 generates a type vector corresponding to the type of the node, based on the node type information. Node generating section 7021 generates a position vector corresponding to a mesh position occupied by a node in the first subscriber type structure diagram, based on the node position information. Node generating section 7021 generates an area interval vector corresponding to a ratio between the area of the node and the total area of the first house type configuration diagram, based on the node size information. Node generating section 7021 generates a node attribute feature vector of a node based on the type vector, the position vector, and the area interval vector.
In one embodiment, as shown in fig. 9, the structure diagram modification module 703 includes a node modification unit 7031 and an edge modification unit 7032. The node transformation unit 7031 transforms the room nodes in the first house type structure diagram and sets corresponding node attribute feature vectors according to the house type transformation demand information. The edge modification unit 7032 performs adjustment processing on the adjacent edge connection line and the connected edge connection line according to the modification processing result of the room node, and sets a corresponding type number.
The modification processing is to add room nodes, and the node modification unit 7031 selects a grid not occupied by any node in the first house type structure diagram as a candidate grid. The node transformation unit 7031 determines a target mesh among the candidate meshes, and generates a new room node based on the target mesh. The edge modification unit 7032 connects between the new room node and the other room nodes using an adjacent edge connection and/or a connected edge connection.
If the grid distance between the new room node and another room node is less than or equal to the grid distance threshold, the edge modification unit 7032 establishes an adjacent edge connection line and/or a connected edge connection line between the new room node and this other room node. If the new room node is located between two other room nodes, the edge modification unit 7032 deletes the adjacent edge connection line and the connected edge connection line between the two other room nodes.
The modification process is to delete a room node, and the node modification unit 7031 deletes a room node in the first house type configuration diagram. The edge modification unit 7032 deletes the adjacent edge connecting line and the connected edge connecting line connected to the room node. The modification processing is to exchange room nodes, and node modification unit 7031 performs position exchange processing between target room nodes in the first house type configuration diagram. The modification process is to increase or decrease the size of the room node, and the node modification unit 7031 increases or decreases the size of the target room node and the neighboring target room nodes in the first house type configuration diagram.
FIG. 10 is a block diagram of one embodiment of an electronic device of the present disclosure, as shown in FIG. 10, the electronic device 101 includes one or more processors 1011 and memory 1012.
The processor 1011 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 101 to perform desired functions.
Memory 1012 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory, for example, may include: random Access Memory (RAM) and/or cache memory (cache), etc. The nonvolatile memory, for example, may include: read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on a computer-readable storage medium and executed by processor 1011 to implement the house-keeping method of the embodiments of the present disclosure above and/or other desired functions. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.
In one example, the electronic device 101 may further include: an input device 1013, an output device 1014, etc., which are interconnected by a bus system and/or other form of connection mechanism (not shown). Further, the input device 1013 may include, for example, a keyboard, a mouse, and the like. The output device 1014 can output various kinds of information to the outside. The output devices 1014 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device 101 relevant to the present disclosure are shown in fig. 10, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device 101 may include any other suitable components, depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the house improvement method according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer program product may write program code for performing the operations of embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform the steps in the house improvement method according to various embodiments of the present disclosure described in the "exemplary methods" section above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium may include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present disclosure have been described above in connection with specific embodiments, however, it should be noted that advantages, effects, and the like, mentioned in the present disclosure are only examples and not limitations, and should not be considered as necessarily possessed by embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
According to the house type transformation method and device, the electronic equipment and the storage medium in the embodiment, the house type graph formed by the geometric figures is abstracted into a graph structure convenient for global operation, so that basic house type transformation operation can be performed, the room layout information and the scale information after the house type transformation are reasonable, and the user requirements are met; the house type is transformed on the level of the graph structure, so that the method is convenient and efficient; the house type reconstruction is automatically carried out, the generation efficiency of the recommended house type reconstruction scheme is high, and the customer experience is effectively improved.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, and systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," comprising, "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects, and the like, will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. A house improvement method, comprising:
acquiring a house type element and attribute feature information corresponding to the house type element in a first house type graph corresponding to a house type to be reconstructed;
constructing a first house type structure diagram based on the house type elements and the attribute characteristic information;
according to the house type transformation demand information, carrying out house type element transformation operation on the first house type structure chart and adjusting corresponding attribute characteristic information so as to generate a second house type structure chart;
and generating a second house type graph corresponding to the modified house type based on the second house type structure graph.
2. The method of claim 1, wherein the house type elements comprise: node elements and edge elements; the attribute feature information includes: node attribute feature information and edge attribute feature information; the acquiring the house type elements and the attribute feature information corresponding to the house type elements in the first house type graph corresponding to the house type to be modified comprises the following steps:
acquiring the node elements and the edge elements in the first user type graph;
extracting node attribute feature information and edge attribute feature information corresponding to the node elements and the edge elements respectively;
wherein the node elements include: one or more of a room, a window, a door and a bealock; the edge elements include: one or more of adjoining sides and connecting sides of the room.
3. The method of claim 2, the node attribute feature information comprising: one or more of node type information, node location information, and node size information; the edge attribute feature information includes: one or more of side type information, side position information; the constructing a first house type structure diagram based on the house type elements and the attribute characteristic information comprises the following steps:
generating a first house type structure chart corresponding to the first house type chart, and carrying out gridding processing on the first house type structure chart;
setting a node corresponding to the node element in the first house type structure chart according to the node position information; wherein the node comprises: one or more of a room node, a window node, a door node and a puerto node; the size of the node is used for representing the area size of the node element;
setting a node attribute eigenvector corresponding to the node according to the node type information, the node position information and the node size information;
according to the edge type information and the edge position information, connecting the room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines; wherein the adjoining side connecting line and the communicating side connecting line respectively represent the adjoining side and the communicating side;
and setting corresponding type numbers for the adjacent edge connecting line and the communicating edge connecting line.
4. The method of claim 3, wherein the setting of the node attribute feature vector corresponding to the node according to the node type information, the node location information, and the node size information comprises:
generating a type vector corresponding to the type of the node according to the node type information;
generating a position vector corresponding to the grid position occupied by the node in the first house type structure chart according to the node position information;
generating an area interval vector corresponding to the ratio between the area of the node and the total area of the first house type structure chart according to the node size information;
generating a node attribute feature vector of the node based on the type vector, the location vector, and the area interval vector.
5. The method of claim 3, wherein the performing the house type element modification operation on the first house type structure diagram according to the house type modification requirement information and adjusting the corresponding attribute feature information comprises:
according to the house type reconstruction demand information, reconstructing the room nodes in the first house type structure chart and setting corresponding node attribute feature vectors;
and adjusting the adjacent edge connecting line and the communicating edge connecting line according to the room node transformation processing result, and setting a corresponding type number.
6. The method of claim 5, the retrofit process being adding room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises:
selecting grids which are not occupied by any node from the first house type structure chart as candidate grids;
determining a target grid in the candidate grids, and generating a new room node based on the target grid;
the adjusting the adjacent edge connecting line and the communicating edge connecting line comprises:
and connecting the new room node with other room nodes by using adjacent edge connecting lines and/or communicating edge connecting lines.
7. The method of claim 6, the connecting between the new room node and other room nodes using adjacent edge wiring and/or connected edge wiring comprising:
if the grid distance between the new room node and other room nodes is smaller than or equal to the grid distance threshold value, establishing adjacent edge connection and/or connected edge connection between the new room node and the other room nodes;
and if the new room node is positioned between two other room nodes, deleting the adjacent edge connecting line and the communicating edge connecting line between the two other room nodes.
8. The method of claim 5, the retrofit process being deleting a room node; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises:
deleting room nodes in the first house type structure chart and deleting adjacent edge connecting lines and communicating edge connecting lines connected with the room nodes;
the transformation processing is to exchange room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises:
in the first house type structure diagram, position exchange processing is carried out among target room nodes;
the transformation process is to increase or decrease the size of the room nodes; the modifying the room nodes in the first house type structure diagram and setting corresponding node attribute feature vectors comprises:
in the first house type structure diagram, the sizes of the target room node and the neighbor target room node are increased or decreased.
9. The method of claim 8, wherein,
the modified size of the target room node which is newly added, increased or reduced is as follows:
wherein Δ S is the modified size, N is the number of neighboring target room nodes of the target room node,
is the scale contribution ratio, S, of the neighboring target room nodeiIs the size of the neighboring target room node,
is proportional to Si。
10. A computer-readable storage medium, the storage medium storing a computer program for performing the method of any of the preceding claims 1-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210200457.1A CN114329744B (en) | 2022-03-03 | 2022-03-03 | House type reconstruction method and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210200457.1A CN114329744B (en) | 2022-03-03 | 2022-03-03 | House type reconstruction method and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114329744A true CN114329744A (en) | 2022-04-12 |
| CN114329744B CN114329744B (en) | 2022-05-31 |
Family
ID=81031453
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210200457.1A Active CN114329744B (en) | 2022-03-03 | 2022-03-03 | House type reconstruction method and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114329744B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116578915A (en) * | 2023-04-11 | 2023-08-11 | 广州极点三维信息科技有限公司 | Structured house type analysis method and system based on graphic neural network |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110096736A (en) * | 2019-03-21 | 2019-08-06 | 上海得见计算机科技有限公司 | A kind of two dimension house type drawing drawing method |
| CN110390153A (en) * | 2019-07-15 | 2019-10-29 | 贝壳技术有限公司 | Generation method, device and the equipment of layout structure modification scheme, storage medium |
| US10473468B1 (en) * | 2018-09-12 | 2019-11-12 | Verizon Patent And Licensing Inc. | Systems and methods for real-time updating of attributes of an area and status of devices within the area |
| CN110874591A (en) * | 2020-01-20 | 2020-03-10 | 广东博智林机器人有限公司 | Image positioning method, device, equipment and storage medium |
| CN112598780A (en) * | 2020-12-04 | 2021-04-02 | Oppo广东移动通信有限公司 | Instance object model construction method and device, readable medium and electronic equipment |
| CN113901553A (en) * | 2021-10-12 | 2022-01-07 | 深圳须弥云图空间科技有限公司 | Old house reconstruction and decoration method and device and storage medium |
-
2022
- 2022-03-03 CN CN202210200457.1A patent/CN114329744B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10473468B1 (en) * | 2018-09-12 | 2019-11-12 | Verizon Patent And Licensing Inc. | Systems and methods for real-time updating of attributes of an area and status of devices within the area |
| CN110096736A (en) * | 2019-03-21 | 2019-08-06 | 上海得见计算机科技有限公司 | A kind of two dimension house type drawing drawing method |
| CN110390153A (en) * | 2019-07-15 | 2019-10-29 | 贝壳技术有限公司 | Generation method, device and the equipment of layout structure modification scheme, storage medium |
| CN110874591A (en) * | 2020-01-20 | 2020-03-10 | 广东博智林机器人有限公司 | Image positioning method, device, equipment and storage medium |
| CN112598780A (en) * | 2020-12-04 | 2021-04-02 | Oppo广东移动通信有限公司 | Instance object model construction method and device, readable medium and electronic equipment |
| CN113901553A (en) * | 2021-10-12 | 2022-01-07 | 深圳须弥云图空间科技有限公司 | Old house reconstruction and decoration method and device and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116578915A (en) * | 2023-04-11 | 2023-08-11 | 广州极点三维信息科技有限公司 | Structured house type analysis method and system based on graphic neural network |
| CN116578915B (en) * | 2023-04-11 | 2024-06-11 | 广州极点三维信息科技有限公司 | Structured house type analysis method and system based on graphic neural network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114329744B (en) | 2022-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111028333B (en) | Method and device for generating article placement effect image | |
| US20220406027A1 (en) | Methods and systems for rendering and modifying three-dimensional models for interior design | |
| US11263363B2 (en) | Dynamic generation and modification of a design model of a building for a construction project | |
| CN110390153B (en) | Method, device and equipment for generating house type structure improvement scheme and storage medium | |
| CN111709061B (en) | Automatic indoor article placement processing method, device and equipment and storage medium | |
| CN114048331A (en) | Knowledge graph recommendation method and system based on improved KGAT model | |
| US20140365180A1 (en) | Optimal selection of building components using sequential design via statistical based surrogate models | |
| CN114547749B (en) | House type prediction method, device and storage medium | |
| CN112541546A (en) | Photovoltaic power station typical scene generation method based on multi-scene model | |
| CN111563291A (en) | Home decoration scheme determination method and device and computer-readable storage medium | |
| CN114329744B (en) | House type reconstruction method and computer readable storage medium | |
| CN114329743B (en) | House type optimization method, device and storage medium | |
| CN112256973B (en) | User portrait correction method, device, medium, and electronic apparatus | |
| WO2023124160A1 (en) | Method, system and apparatus for automatically generating three-dimensional house layout, and medium | |
| CN112991547B (en) | Model simplification processing method and device, electronic equipment and medium | |
| CN113011677B (en) | Parking space arrangement optimization method based on garage and related products | |
| CN115081087B (en) | Decoration cloud design method, device, equipment and storage medium based on Internet of things | |
| CN114187588B (en) | Data processing method, device and storage medium | |
| Fix et al. | Simultaneous autoregressive models for spatial extremes | |
| CN118014123A (en) | Energy consumption data early warning method, system, equipment and medium based on intelligent home | |
| WO2021073530A1 (en) | Building model simplification processing method and apparatus, electronic device, and storage medium | |
| JP6860073B2 (en) | Graph structure analysis device, graph structure analysis method, and program | |
| US20220390913A1 (en) | Building management system with intelligent visualization | |
| CN112991540B (en) | House model region segmentation method and device, storage medium and electronic equipment | |
| KR102437269B1 (en) | Automated device and method for preparing interior material deadline for architectural design |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |