CN113139107A - Building data visualization management system based on 3D digital scene - Google Patents
Building data visualization management system based on 3D digital scene Download PDFInfo
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- 238000013079 data visualisation Methods 0.000 title claims abstract description 13
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- 238000013500 data storage Methods 0.000 claims abstract description 24
- 238000007726 management method Methods 0.000 claims abstract description 20
- 230000008676 import Effects 0.000 claims abstract description 16
- 238000013480 data collection Methods 0.000 claims abstract description 8
- 238000010276 construction Methods 0.000 claims abstract description 7
- 238000012886 linear function Methods 0.000 claims description 33
- 238000013507 mapping Methods 0.000 claims description 13
- 238000006467 substitution reaction Methods 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 3
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- G—PHYSICS
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Abstract
The invention discloses a building data visualization management system based on 3D digital scene, belonging to the technical field of building information management, comprising a data collection module, a data comparison module, a data storage module and a model reference module, the data collection module comprises a data import module and an abnormal data feedback module, the data import module is responsible for classifying the collected building data and importing the classified building data into a data comparison module, the abnormal data feedback module is responsible for receiving the abnormal data fed back by the data comparison module, the data comparison module comprises a function construction module and a data judgment module, the invention relates the basic data of the building information with the data of the building model, when the device is used, the accuracy of data is judged through the data comparison module, and data disorder caused by data input errors can be avoided through judgment.
Description
Technical Field
The invention relates to the technical field of building information management, in particular to a building data visualization management system based on a 3D digital scene.
Background
The building information management is a process for organizing relevant information in the building production and operation activities. It comprises the following steps: information collection, namely collecting initial information, which is the basic work of information management, wherein building information exists inside and outside the building industry and all the time of production and operation activities; information processing, which is a central link of information management and can classify, sort, edit, calculate, compare and select information to meet certain purposes and requirements; information transmission, namely forming an information stream through input and output of information; information retrieval, a set of simple and applicable searching method is drawn up so as to accurately and rapidly search out the required information from a large amount of stored information; and (4) information output, namely printing the processed information into various technical files such as reports, lists and the like according to a required format. The building information management is a scientific means for analyzing, researching and deciding the production and operation activities according to all levels and departments in the building industry.
Data building information management needs the staff to carry out data input through man-machine coupling mode, and the visual reliance of 3D digital scene and the stability of data, when data appear disorderly, can lead to the building data of 3D digital scene to appear the model mistake when visual, and then can't effectively manage building information.
Disclosure of Invention
The invention aims to provide a building data visualization management system based on a 3D digital scene, which aims to solve the problem that the existing data building information management proposed in the background technology is easy to cause data disorder due to data input errors.
In order to achieve the purpose, the invention provides the following technical scheme: a building data visualization management system based on a 3D digital scene comprises a data collection module, a data comparison module, a data storage module and a model quoting module, wherein the data collection module comprises a data import module and an abnormal data feedback module, the data import module is used for classifying collected building data and importing the classified building data into the data comparison module, the abnormal data feedback module is used for receiving abnormal data fed back by the data comparison module, the data comparison module comprises a function construction module and a data judgment module, the function construction module is used for constructing a linear function by using data in the data storage module, the data judgment module is used for bringing the imported data into the linear function and judging the deviation linearity of the linear function, a deviation value is arranged in the data judgment module, and then the deviation linearity is compared with the deviation value, if the deviation linearity is larger than the deviation value, the data is abnormal and the abnormal data is returned to the abnormal data feedback module, if the deviation linearity is smaller than or equal to the deviation value, the data is qualified and qualified data is imported into the data storage module, the data storage module comprises a basic data module, a model data module and a qualified data module, the basic data module is responsible for storing building information basic data, the model data module is responsible for storing building model data and associating the data with the building information basic data, the qualified data module is responsible for recording qualified data imported by the stored data judgment module, the model reference module comprises a mapping module and a calling module, the mapping module is responsible for mapping qualified data into building information basic data according to a linear function, and the calling module is responsible for calling the stored building model data according to the data after the qualified data mapping and carrying out three-dimensional visual export on the stored building model data.
Preferably, the abnormal data feedback module comprises a display module and a re-input module, the display module is responsible for displaying abnormal data, then the abnormal data is manually sorted and judged, if the abnormal data is error data, the abnormal data is modified, then the modified data is led into the data comparison module through the re-input module, and if the abnormal data is normal data, the modified data is led into the data comparison module through the re-input module.
Preferably, the deviation value includes a function deviation and a limit deviation, the function deviation is included in the limit deviation, the data is abnormal when the deviation linearity is greater than the function deviation, when the data imported by the re-input module is modified, the relation between the deviation linearity of the data and the function deviation is judged again, when the data imported by the re-input module is not modified, the relation between the deviation linearity of the abnormal data and the limit deviation is judged, when the deviation linearity of the abnormal data is less than the limit deviation, the data is imported into the data storage module as qualified data, when the deviation linearity of the abnormal data is greater than or equal to the limit deviation, the abnormal data is converted into the maximum data within the limit deviation, and then the data is imported into the data storage module as qualified data and the abnormal data is marked.
Preferably, the linear functions include a basic linear function and an import linear function, the basic linear function is constructed by using basic data of the building information, the import linear function is constructed by using qualified data of an import qualified data module, the function deviation refers to a maximum allowable deviation between the qualified data and the import linear function, and the limit deviation refers to a maximum allowable deviation between the qualified data and the basic linear function.
Preferably, the data storage module further comprises a data replacement module, and when the qualified data needs to be periodically managed, the data replacement module is responsible for calculating an average value of the qualified data and each point of the corresponding building information basic data in a period, and then taking the average value as new building information basic data.
Preferably, the initial building information basic data is named as original building information basic data, the data storage module further comprises a reference module, and after the mapping module maps qualified data to new building information basic data, the reference module is responsible for referring the mapped data to the original building information basic data.
Compared with the prior art, the invention has the beneficial effects that:
the building information basic data and the building model data are correlated, when the building information basic data and the building model data are used, the accuracy of the data is judged through the data comparison module, data disorder caused by data input errors can be avoided through judgment, qualified data are mapped into the building information basic data through the mapping module, the qualified data can correspond to the building information basic data, and then the building model data are derived through the building information basic data, so that the building model data cannot be influenced even if the data are disordered.
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FIG. 1 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example (b):
referring to fig. 1, the present invention provides a technical solution: a building data visualization management system based on a 3D digital scene comprises a data collection module, a data comparison module, a data storage module and a model quoting module, wherein the data collection module comprises a data import module and an abnormal data feedback module, the data import module is used for classifying collected building data and importing the classified building data into the data comparison module, the abnormal data feedback module is used for receiving abnormal data fed back by the data comparison module, the data comparison module comprises a function construction module and a data judgment module, the function construction modeling is used for constructing a linear function by using data in the data storage module, the data judgment module is used for bringing the imported data into the linear function and judging the deviation linearity of the linear function, a deviation value is arranged in the data judgment module, then the deviation linearity is compared with the deviation value, and the deviation linearity is larger than the deviation value, the data storage module comprises a basic data module, a model data module and a qualified data module, the basic data module is responsible for storing basic building information data, the model data module is responsible for storing building model data and associating the data with basic building information data, the qualified data module is responsible for recording qualified data imported by the stored data judgment module, the model reference module comprises a mapping module and a calling module, the mapping module is responsible for mapping the qualified data into the basic building information data according to a linear function, and the calling module is responsible for calling the stored building model data according to the data mapped by the qualified data and exporting the data in a three-dimensional visualization manner.
The abnormal data feedback module comprises a display module and a secondary input module, the display module is responsible for displaying abnormal data, then the abnormal data is manually sorted and judged, the abnormal data is modified if being error data, then the modified data is led into the data comparison module through the secondary input module, when the abnormal data is normal data, the abnormal data is led into the data comparison module through the secondary input module, and errors of the input data can be avoided through manual retrieval.
The deviation value comprises a function deviation and a limit deviation, the function deviation is contained in the limit deviation, the data is abnormal when the deviation linearity is larger than the function deviation, when the data imported by the input module is modified, the relation between the deviation linearity of the data and the function deviation is judged again, when the data imported by the input module is not modified, the relation between the deviation linearity of the abnormal data and the limit deviation is judged, when the deviation linearity of the abnormal data is smaller than the limit deviation, the data is imported into the data storage module as qualified data, when the deviation linearity of the abnormal data is larger than or equal to the limit deviation, the abnormal data is converted into the maximum data in the limit deviation, then the maximum data is listed as qualified data and imported into the data storage module, the abnormal data is marked, and the function deviation represents the normal fluctuation range of the data, the limit deviation represents the allowable fluctuation range of the data, and abnormal data can not generate data disorder in the range.
The linear function comprises a basic linear function and an imported linear function, the basic linear function is constructed by using basic data of the building information, the imported linear function is constructed by using qualified data of an imported qualified data module, the function deviation refers to the maximum allowable deviation between the qualified data and the imported linear function, and the limit deviation refers to the maximum allowable deviation between the qualified data and the basic linear function.
The data storage module also comprises a data substitution module, and when the qualified data needs to be periodically managed, the data substitution module is responsible for solving the average value of each point of the qualified data and the corresponding building information basic data in one period, and then taking the average value as new building information basic data.
The initial building information basic data is named as original building information basic data, the data storage module further comprises a reference module, and after the mapping module maps the qualified data to the new building information basic data, the reference module is responsible for referring the original building information basic data to the mapped data.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The building data visualization management system based on the 3D digital scene comprises a data collection module, a data comparison module, a data storage module and a model reference module, and is characterized in that: the data collection module comprises a data import module and an abnormal data feedback module, the data import module is responsible for classifying the collected building data and importing the classified building data into a data comparison module, the abnormal data feedback module is responsible for receiving abnormal data fed back by the data comparison module, the data comparison module comprises a function construction module and a data judgment module, the function construction modeling is responsible for constructing a linear function by using the data in the data storage module, the data judgment module is responsible for bringing the imported data into the linear function and judging the deviation linearity of the linear function, a deviation value is arranged in the data judgment module, then the deviation linearity is compared with the deviation value, if the deviation linearity is larger than the deviation value, the data is abnormal and the abnormal data is returned to the abnormal data feedback module, if the deviation linearity is smaller than or equal to the deviation value, the data is qualified and qualified data is imported into the data storage module, the data storage module comprises a basic data module, a model data module and a qualified data module, the basic data module is responsible for storing basic data of building information, the model data module is responsible for storing building model data and associating the data with the basic data of the building information, the qualified data module is responsible for recording qualified data imported by the stored data judging module, the model quoting module comprises a mapping module and a calling module, the mapping module is responsible for mapping the qualified data into the basic data of the building information according to a linear function, and the calling module is responsible for calling the stored building model data according to the data mapped by the qualified data and exporting the stored building model data in a three-dimensional visual manner.
2. The building data visualization management system based on 3D digital scene as claimed in claim 1, wherein: the abnormal data feedback module comprises a display module and a re-input module, the display module is responsible for displaying abnormal data, then the abnormal data is manually sorted and judged, if the abnormal data is error data, the abnormal data is modified, then the modified data is led into the data comparison module through the re-input module, and if the abnormal data is normal data, the modified data is led into the data comparison module through the re-input module.
3. The building data visualization management system based on 3D digital scene as claimed in claim 2, wherein: the deviation value comprises a function deviation and a limit deviation, the function deviation is contained in the limit deviation, when the deviation linearity is larger than the function deviation, the data is abnormal, when the data imported by the input module is modified, the relation between the deviation linearity of the data and the function deviation is judged again, when the data imported by the input module is not modified, the relation between the deviation linearity of the abnormal data and the limit deviation is judged, when the deviation linearity of the abnormal data is smaller than the limit deviation, the data is imported into the data storage module as qualified data, when the deviation linearity of the abnormal data is larger than or equal to the limit deviation, the abnormal data is converted into the maximum data in the limit deviation, and then the maximum data is imported into the data storage module as qualified data, and the abnormal data is marked.
4. The building data visualization management system based on 3D digital scene as claimed in claim 3, wherein: the linear functions comprise basic linear functions and import linear functions, the basic linear functions are constructed by building information basic data, the import linear functions are constructed by qualified data of import qualified data modules, the function deviation refers to the maximum allowable deviation between the qualified data and the import linear functions, and the limit deviation refers to the maximum allowable deviation between the qualified data and the basic linear functions.
5. The building data visualization management system based on 3D digital scene as claimed in claim 1, wherein: the data storage module also comprises a data substitution module, and when the qualified data needs to be periodically managed, the data substitution module is responsible for solving the average value of each point of the qualified data and the corresponding building information basic data in one period, and then taking the average value as new building information basic data.
6. The building data visualization management system based on 3D digital scene as claimed in claim 5, wherein: the initial building information basic data is named as original building information basic data, the data storage module further comprises a reference module, and after the mapping module maps qualified data to new building information basic data, the reference module is responsible for referring the mapped data to the original building information basic data.
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