CN114528425A - Three-dimensional visualization system and method for intelligent building - Google Patents
Three-dimensional visualization system and method for intelligent building Download PDFInfo
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- CN114528425A CN114528425A CN202210010698.XA CN202210010698A CN114528425A CN 114528425 A CN114528425 A CN 114528425A CN 202210010698 A CN202210010698 A CN 202210010698A CN 114528425 A CN114528425 A CN 114528425A
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Abstract
The application discloses a three-dimensional visualization system and a method for intelligent buildings, which mainly relate to the technical field of intelligent buildings and comprise the following steps: the building visualization module is used for constructing a building environment, a building appearance, a building structure and a building functional area corresponding to a preset building according to preset display data; the building neural learning module is used for acquiring the acquired display data and importing the acquired display data into a preset neural learning algorithm so as to determine whether the acquired display data are effective display data; the building appearance updating module is used for updating the preset display data according to the effective display data; and the building safety detection module is used for determining whether the effective display data are potential safety hazard data or not according to the effective display data so as to generate an alarm instruction to the maintenance terminal when the effective display data are determined to be the potential safety hazard data. The method realizes the practical application of integrating the three-dimensional image into the building.
Description
Technical Field
The application relates to the technical field of intelligent buildings, in particular to a three-dimensional visualization system and a three-dimensional visualization method for the intelligent buildings.
Background
The intelligent building, ib (intelligent building) for short, is a necessary product of information era and computer application science, and is a combination of modern high technology and building. Visualization technology is used for changing various types of data, including numerical values, images or numbers, into visual information represented by graphic image information to be presented to a user so that the user can observe, simulate and calculate the visual information.
In recent years, as the development of computer technology makes the development of three-dimensional visualization technology, the application of three-dimensional technology in intelligent buildings through modeling appears. For example, CN202010262008.0, a method for rendering a three-dimensional model of a building of a smart building, and a building cloud server.
However, the above existing technical solutions for applying the three-dimensional model to the building are only perfected on the three-dimensional modeling technology or the three-dimensional rendering technology, and do not really integrate the three-dimensional image into the practical application of the building. Therefore, a need exists for a three-dimensional visualization system and method for intelligent buildings to fuse three-dimensional images into the actual management of the building.
Disclosure of Invention
In view of the above-mentioned deficiencies of the prior art, the present invention provides a three-dimensional visualization system and method for an intelligent building to solve the above-mentioned technical problems.
In a first aspect, an embodiment of the present application provides a three-dimensional visualization system for an intelligent building, where the system includes: the building visualization module is used for constructing a building environment, a building appearance, a building structure and a building functional area corresponding to a preset building according to preset display data; the building neural learning module is used for acquiring the acquired display data and importing the acquired display data into a preset neural learning algorithm so as to determine whether the acquired display data are effective display data; the building appearance updating module is used for updating the preset display data according to the effective display data; and the building safety detection module is used for determining whether the effective display data are potential safety hazard data or not according to the effective display data so as to generate an alarm instruction to the maintenance terminal when the effective display data are determined to be the potential safety hazard data.
Further, the building visualization module comprises a keyword classification unit, a building environment visualization unit, a building appearance visualization unit, a structure visualization unit and an area visualization unit; the keyword classification unit is used for determining a data type corresponding to the preset display data according to a preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type and building function type; the building environment visualization unit is used for constructing a building environment corresponding to a preset building according to the preset display data of the environment type; the building appearance visualization unit is used for constructing building appearances corresponding to preset buildings according to the preset display data of the appearance types; the structure visualization unit is used for constructing a building structure corresponding to a preset building according to the preset display data of the structure type; and the area visualization unit is used for constructing a building function area corresponding to the preset building according to the preset display data of the building function type.
Furthermore, the building neural learning module comprises a data acquisition unit, a data learning unit and an algorithm updating unit; the data acquisition unit is used for acquiring the acquisition and display data uploaded by the patrol terminal; the data learning unit is used for importing the collected display data into a preset neural learning algorithm so as to determine whether the collected display data are effective display data; and the algorithm updating unit is used for acquiring the effective rate of the preset neural learning algorithm so as to update the preset neural learning algorithm when the effective rate is smaller than a preset effective threshold value.
Further, the maintenance terminal includes: the system comprises a task generating unit, a task monitoring unit and a task reminding unit; the task generating unit is used for generating a maintenance task according to an alarm instruction issued by the building safety detection module; the task monitoring unit is used for determining the maintenance duration corresponding to the maintenance task according to a preset time prediction algorithm; and the task reminding unit is used for reminding the maintenance task within the maintenance time.
Further, the maintenance terminal includes any one or more of: password authentication protocol end, computer end, cell-phone end.
In a second aspect, an embodiment of the present application provides a three-dimensional visualization method for an intelligent building, where the method includes: building a building environment, building appearance, building structure and building functional area corresponding to a preset building according to preset display data; acquiring the acquired display data, and importing the acquired display data into a preset neural learning algorithm to determine whether the acquired display data is effective display data; updating preset display data according to the effective display data; and determining whether the effective display data are potential safety hazard data or not according to the effective display data, and generating an alarm instruction to the maintenance terminal when the effective display data are determined to be the potential safety hazard data.
Further, according to predetermineeing the show data, construct the building environment, building outward appearance, building structure and the building functional area that preset building corresponds, specifically include: determining a data type corresponding to preset display data according to a preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type and building function type; building a building environment corresponding to a preset building according to the preset display data of the environment type; building a building appearance corresponding to a preset building according to preset display data of the appearance type; building a building structure corresponding to a preset building according to the preset display data of the structure type; and building a building functional area corresponding to the preset building according to the preset display data of the building functional type.
Further, acquire the show data of gathering to in leading-in the show data of gathering the preset neural learning algorithm, whether in order to confirm the show data of gathering is effective show data, specifically include: acquiring acquisition and display data uploaded by a patrol terminal; and importing the collected display data into a preset neural learning algorithm to determine whether the collected display data are effective display data.
As can be appreciated by those skilled in the art, the present invention has at least the following benefits: through the building visualization module, the building appearance, outdoor activity places, greening, parking lots, roads, gates and the like in the intelligent building are constructed in three dimensions according to real scenes, and a user can conveniently and quickly confirm the relative position of the building in a city. Through the building neural learning module, effective display data in the acquired display data are acquired. Through the building appearance updating module, the building visualization module is updated to construct preset display data of the three-dimensional image. Through building safety inspection module, realized automatic short-term test potential safety hazard data, effectively avoided unexpected emergence.
Drawings
Some embodiments of the disclosure are described below with reference to the accompanying drawings, in which:
fig. 1 is an internal structural schematic diagram of a three-dimensional visualization system for an intelligent building according to an embodiment of the present application.
Fig. 2 is a flowchart of a three-dimensional visualization method for an intelligent building according to an embodiment of the present application.
Detailed Description
It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can be implemented only by the preferred embodiments, which are merely intended to explain the technical principles of the present disclosure and not to limit the scope of the present disclosure. All other embodiments that can be derived by one of ordinary skill in the art from the preferred embodiments provided by the disclosure without undue experimentation will still fall within the scope of the disclosure.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a three-dimensional visualization system for an intelligent building according to an embodiment of the present application. As shown in fig. 1, the three-dimensional visualization system provided in the embodiment of the present application mainly includes: a building visualization module 110, a building neural learning module 120, a building appearance update module 130, and a building security detection module 140.
The building visualization module 110 comprises a three-dimensional modeling frame, can generate a three-dimensional building environment, a building appearance, a building structure and a building functional area according to preset display data, and is mainly used for constructing the building environment, the building appearance, the building structure and the building functional area corresponding to the preset building according to the preset display data. It should be noted that the building visualization module 110 is mainly used for three-dimensional construction of building appearances, outdoor activity places, greenery, parking lots, roads, gates and the like corresponding to the intelligent building according to real scenes.
Illustratively, the building visualization module 110 includes a keyword classification unit 111, a building environment visualization unit 112, a building appearance visualization unit 113, a structure visualization unit 114, and an area visualization unit 115. The keyword classification unit 111 is preset with a keyword extraction algorithm, which can extract keywords from preset display data to achieve the effect of determining the data type corresponding to the preset display data, and exemplarily, the keyword classification unit 111 determines the data type corresponding to the preset display data according to the preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type, and building function type. The building environment visualization unit 112 is any device or apparatus capable of constructing a three-dimensional environment according to data, and is mainly used for constructing a building environment corresponding to a preset building according to preset display data of an environment type. The building appearance visualization unit 113 is any device or apparatus capable of constructing a three-dimensional appearance of a building according to data, and is mainly used for constructing a building appearance corresponding to a preset building according to preset display data of appearance types. The structure visualization unit 114 is any device or apparatus capable of constructing a three-dimensional structure of a building according to the data, and is mainly used for constructing a building structure corresponding to a preset building according to preset display data of a structure type. The area visualization unit 115 is any device or apparatus capable of constructing a three-dimensional functional area of a building according to data, and is mainly used for constructing a building functional area corresponding to a preset building according to preset display data of building function types.
The building neural learning module 120 includes a neural learning algorithm, and is mainly used for acquiring the collected display data and guiding the collected display data into a preset neural learning algorithm to determine whether the collected display data is valid display data, so as to determine whether the input data is valid display data. It should be noted that the neural learning algorithm may be any feasible trained algorithm capable of effectively displaying data screening. The specific training process of the neural learning algorithm can be realized by the existing method or equipment, and the invention is not limited to the method.
Illustratively, the building neural learning module 120 includes a data acquisition unit 121, a data learning unit 122, and an algorithm updating unit 123. The data obtaining unit 121 is any feasible device or apparatus capable of obtaining the collected display data, and is configured to obtain the collected display data uploaded by the patrol terminal. It should be noted that the patrol terminal is a terminal for dynamically acquiring and displaying data, wherein the dynamically acquired and displayed data mainly includes data which changes with time, such as electric energy and the like; the statically collected presentation data typically remains unchanged, such as the height of the building. The data learning unit 122 is any feasible device or apparatus capable of determining whether the collected display data is valid display data, and is mainly configured to import the collected display data into a preset neural learning algorithm to determine whether the collected display data is valid display data. The algorithm updating unit 123 is any feasible device or apparatus capable of updating the neural learning algorithm, and is mainly used to obtain the effective rate of the preset neural learning algorithm, so as to update the preset neural learning algorithm when the effective rate is smaller than the preset effective threshold.
The building appearance updating module 130 is any feasible device or apparatus capable of updating the preset display data points according to the valid display data, and is mainly used for updating the preset display data according to the valid display data;
the building safety detection module 140 is any feasible device or apparatus capable of determining whether effective display data is potential safety hazard data or not, and is mainly used for determining whether effective display data is potential safety hazard data or not according to the effective display data, so as to generate an alarm instruction to the maintenance terminal 150 when the effective display data is determined to be the potential safety hazard data. It should be noted that, a plurality of hidden danger conditions meeting the hidden danger data are prestored in the building safety detection module 140, the building safety detection module 140 may import the effective display data into the plurality of hidden danger conditions, and when it is determined that the effective display data meets any one of the hidden danger conditions, it is determined that the effective display data is the hidden danger data.
As an example, the maintenance terminal 150 includes: a task generating unit 151, a task monitoring unit 152, and a task reminding unit 153; the task generating unit 151 is a device or apparatus capable of generating a maintenance task, and is configured to generate a maintenance task according to an alarm instruction issued by the building safety detection module 140; the task monitoring unit 152 is a device or apparatus capable of calculating a maintenance duration, and is configured to determine a maintenance duration corresponding to the maintenance task according to a preset time prediction algorithm; the task reminding unit 153 is a device or apparatus capable of reminding, and is used for reminding a maintenance task within a maintenance duration. It should be noted that the maintenance terminal 150 is connected to the building security detection module 140 through a wireless network, and can receive the alarm command issued by the building security detection module 140. The corresponding relation between the maintenance tasks and the maintenance duration is prestored in the time prediction algorithm, so that the time prestoring algorithm can determine the maintenance duration corresponding to each maintenance task according to the corresponding relation.
As an example, the maintenance terminal 150 includes any one or more of: password authentication protocol end, computer end, cell-phone end.
As can be appreciated by those skilled in the art, the present invention has at least the following beneficial effects: through the building visualization module 110, the three-dimensional construction of building appearance, outdoor activity places, greening, parking lots, roads, gates and the like in the intelligent building according to real scenes is realized, and a user can conveniently and quickly confirm the relative position of the building in a city. Through the building neural learning module 120, the effective display data in the acquired display data is acquired. Through the building appearance updating module 130, the preset display data of the three-dimensional image constructed by the building visualization module 110 is updated. Through building safety inspection mould
Fig. 2 is a three-dimensional visualization method for an intelligent building according to an embodiment of the present application. It should be noted that, in the three-dimensional visualization method for the intelligent building proposed in the embodiment of the present application, the implementation subject is a server. As shown in fig. 2, the three-dimensional visualization method provided in the embodiment of the present application mainly includes the following steps:
and step 210, building environments, building appearances, building structures and building functional areas corresponding to preset buildings according to the preset display data.
Exemplarily, determining a data type corresponding to preset display data according to a preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type and building function type; building a building environment corresponding to a preset building according to the preset display data of the environment type; building a building appearance corresponding to a preset building according to preset display data of the appearance type; building a building structure corresponding to a preset building according to the preset display data of the structure type; and building a building functional area corresponding to the preset building according to the preset display data of the building functional type.
As an example, acquiring display data uploaded by a patrol terminal; and importing the collected display data into a preset neural learning algorithm to determine whether the collected display data are effective display data.
And step 230, updating the preset display data according to the effective display data.
And 240, determining whether the effective display data are potential safety hazard data or not according to the effective display data, and generating an alarm instruction to the maintenance terminal when the effective display data are determined to be the potential safety hazard data.
So far, the technical solutions of the present disclosure have been described in connection with the foregoing embodiments, but it is easily understood by those skilled in the art that the scope of the present disclosure is not limited to only these specific embodiments. The technical solutions in the above embodiments can be split and combined, and equivalent changes or substitutions can be made on related technical features by those skilled in the art without departing from the technical principles of the present disclosure, and any changes, equivalents, improvements, and the like made within the technical concept and/or technical principles of the present disclosure will fall within the protection scope of the present disclosure.
Claims (8)
1. A three-dimensional visualization system for an intelligent building, the system comprising:
the building visualization module is used for constructing a building environment, a building appearance, a building structure and a building functional area corresponding to a preset building according to preset display data;
the building neural learning module is used for acquiring the acquired display data and importing the acquired display data into a preset neural learning algorithm so as to determine whether the acquired display data are effective display data;
the building appearance updating module is used for updating the preset display data in the building visualization module according to the effective display data;
and the building safety detection module is used for determining whether the effective display data are potential safety hazard data or not according to the effective display data so as to generate an alarm instruction to the maintenance terminal when the effective display data are determined to be the potential safety hazard data.
2. The three-dimensional visualization system for intelligent buildings according to claim 1, wherein the building visualization module comprises a keyword classification unit, a building environment visualization unit, a building appearance visualization unit, a structure visualization unit and an area visualization unit;
the keyword classification unit is used for determining a data type corresponding to preset display data according to a preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type and building function type;
the building environment visualization unit is used for constructing a building environment corresponding to a preset building according to the preset display data of the environment type;
the building appearance visualization unit is used for constructing a building appearance corresponding to a preset building according to the preset display data of the appearance type;
the structure visualization unit is used for constructing a building structure corresponding to a preset building according to the preset display data of the structure type;
and the area visualization unit is used for constructing a building function area corresponding to a preset building according to the preset display data of the building function type.
3. The three-dimensional visualization system for the intelligent building as recited in claim 1, wherein the building neural learning module comprises a data acquisition unit, a data learning unit, and an algorithm updating unit;
the data acquisition unit is used for acquiring the acquisition and display data uploaded by the patrol terminal;
the data learning unit is used for importing the acquired display data into a preset neural learning algorithm so as to determine whether the acquired display data are effective display data;
the algorithm updating unit is used for obtaining the effective rate of the preset neural learning algorithm and updating the preset neural learning algorithm when the effective rate is smaller than a preset effective threshold value.
4. The three-dimensional visualization system for intelligent buildings according to claim 1,
the maintenance terminal includes: the system comprises a task generating unit, a task monitoring unit and a task reminding unit;
the task generating unit is used for generating a maintenance task according to an alarm instruction issued by the building safety detection module;
the task monitoring unit is used for determining the maintenance duration corresponding to the maintenance task according to a preset time prediction algorithm;
and the task reminding unit is used for reminding the maintenance task within the maintenance duration.
5. The three-dimensional visualization system for intelligent buildings according to claim 1,
the maintenance terminal comprises any one or more of the following: password authentication protocol end, computer end, cell-phone end.
6. A three-dimensional visualization method for intelligent buildings, which is characterized by comprising the following steps:
building a building environment, a building appearance, a building structure and a building functional area corresponding to a preset building according to preset display data;
acquiring acquired display data, and importing the acquired display data into a preset neural learning algorithm to determine whether the acquired display data are effective display data;
updating the preset display data according to the effective display data;
and determining whether the effective display data are potential safety hazard data or not according to the effective display data, and generating an alarm instruction to a maintenance terminal when the effective display data are determined to be the potential safety hazard data.
7. The three-dimensional visualization method for the intelligent building as claimed in claim 6, wherein building environments, building appearances, building structures and building functional areas corresponding to the preset building are constructed according to the preset display data, and the method specifically comprises:
determining a data type corresponding to preset display data according to a preset keyword classification algorithm; wherein the data types include: environment type, appearance type, structure type and building function type;
building a building environment corresponding to a preset building according to the preset display data of the environment type;
building a building appearance corresponding to a preset building according to the preset display data of the appearance type;
building a building structure corresponding to a preset building according to the preset display data of the structure type;
and building a building functional area corresponding to the preset building according to the preset display data of the building functional type.
8. The three-dimensional visualization method for the intelligent building according to claim 6, wherein the acquiring of the collected display data is performed to introduce the acquired display data into a preset neural learning algorithm to determine whether the acquired display data is valid display data, specifically comprising:
acquiring acquisition and display data uploaded by a patrol terminal;
and importing the collected display data into a preset neural learning algorithm to determine whether the collected display data are effective display data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796392A (en) * | 2023-01-31 | 2023-03-14 | 中交第四航务工程勘察设计院有限公司 | Intelligent building display method and system based on 3D visualization |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796392A (en) * | 2023-01-31 | 2023-03-14 | 中交第四航务工程勘察设计院有限公司 | Intelligent building display method and system based on 3D visualization |
| CN115796392B (en) * | 2023-01-31 | 2023-06-13 | 中交第四航务工程勘察设计院有限公司 | Intelligent building display method and system based on 3D visualization |
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