CN113139107B - Building data visual management system based on 3D digital scene - Google Patents
Building data visual management system based on 3D digital scene Download PDFInfo
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- CN113139107B CN113139107B CN202110520447.1A CN202110520447A CN113139107B CN 113139107 B CN113139107 B CN 113139107B CN 202110520447 A CN202110520447 A CN 202110520447A CN 113139107 B CN113139107 B CN 113139107B
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- 230000000007 visual effect Effects 0.000 title claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims description 51
- 238000013500 data storage Methods 0.000 claims description 31
- 238000012886 linear function Methods 0.000 claims description 27
- 238000007726 management method Methods 0.000 claims description 17
- 238000013507 mapping Methods 0.000 claims description 10
- 230000008676 import Effects 0.000 claims description 7
- 238000006467 substitution reaction Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The invention discloses a building data visual management system based on a 3D digital scene, which belongs to the technical field of building information management, and particularly relates to a building data visual management system based on a 3D digital scene.
Description
Technical Field
The invention relates to the technical field of building information management, in particular to a building data visual management system based on a 3D digital scene.
Background
Building information management is a process of collating information about a building production business. It comprises: the information collection and initial information collection are basic work of information management, and building information exists inside and outside the building industry and is always in production operation activities; the information processing is a central link of information management, and can classify, sort, edit, calculate, compare and select the information so as to meet certain purposes and requirements; information transmission, i.e. forming an information stream by input and output of information; a set of simple and applicable searching method is developed for information retrieval, so that information required to be used can be accurately and rapidly searched in a large amount of stored information; and outputting information, namely printing out technical files such as various reports, list books and the like according to the processed information and the required format. Building information management is a scientific means by which various levels and departments of the building industry analyze, study, and make decisions about production and management activities.
The data building information management needs staff to input data in a man-machine coupling mode, and visualization of a 3D digital scene depends on stabilization of the data, when the data are disordered, model errors can occur when the building data of the 3D digital scene are visualized, and further the building information cannot be effectively managed.
Disclosure of Invention
The invention aims to provide a building data visual 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 above purpose, the present invention provides the following technical solutions: the visual management system of building data based on 3D digital scene, including data collection module, data contrast module, data storage module and model quotation module, the data collection module includes data import module and unusual data feedback module, the data import module is responsible for classifying the building data collected and importing the building data after classification into the data contrast module, the unusual data feedback module is responsible for accepting the unusual data fed back by the data contrast module, the data contrast module includes function construction module and data judgment module, the function construction module is responsible for utilizing the data in the data storage module to construct a linear function, the data judgment module is responsible for bringing the imported data into the linear function and judging its deviation linearity, the data judgment module is provided with deviation value, then compare the deviation linearity with deviation value, the deviation linearity is greater than the deviation value, then represent data anomaly and return unusual data to the unusual data feedback module, the deviation linearity is less than or equal to the deviation value then represent data qualification and import data into the data storage module, the data storage module includes basic data module, model data module and data judgment module, the building data storage module is responsible for mapping the basic data and qualification module, the building data storage module is responsible for mapping the basic data to the basic data, the data storage module is corresponding to the basic data, the data storage module is mapped to the basic data, the data module is qualified according to the data, the data is qualified and the data storage module is qualified, the calling module is responsible for calling the building model storage data according to the data mapped by the qualified data and performing three-dimensional visual export on the building model storage data;
the abnormal data feedback module comprises a display module and a reentry module, wherein the display module is responsible for displaying abnormal data, then manually sorting and judging the abnormal data, modifying the abnormal data when the abnormal data is error data, then importing the modified data into the data comparison module through the reentry module, and importing the abnormal data into the data comparison module through the reentry module when the abnormal data is normal data;
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, namely, the data is abnormal, when the data imported by the re-input module is modified, the relation between the deviation linearity and the function deviation of the data is judged again, when the data imported by the re-input module is not modified, the relation between the deviation linearity and the limit deviation of the abnormal data is judged, when the deviation linearity of the abnormal data is smaller than the limit deviation, the data is used as qualified data to be imported into the data storage module, 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 listed as qualified data to be imported into the data storage module, and the abnormal data is marked;
the linear function comprises a basic linear function and an imported linear function, the basic linear function is constructed by building information basic data, the imported linear function is constructed by qualified data imported into a qualified data module, the function deviation is the maximum allowable deviation between the qualified data and the imported linear function, and the limit deviation is the maximum allowable deviation between the qualified data and the basic linear function;
the data storage module further comprises a data substitution module, when the period management is required to be carried out on the qualified data, 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 the average value is used as new building information basic data;
the method comprises the steps that initial building information basic data are named as original building information basic data, and the data storage module further comprises a reference module which is responsible for referring to the mapped data by the original building information basic data after the mapping module maps qualified data to new building information basic data.
Compared with the prior art, the invention has the beneficial effects that:
when the building model data processing method is 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, then the qualified data is mapped into the building information base data through the mapping module, so that the qualified data can correspond to the building information base data, and the building model data is derived through the building information base data, so that the building model data cannot be influenced even if the data is disorder.
Drawings
FIG. 1 is a schematic diagram of the module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific 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 explicitly specified and limited otherwise, the terms "mounted," "configured to," "engaged with," "connected to," and the like are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, the present invention provides a technical solution: a visual management system of building data based on 3D digital scene comprises a data collection module, a data comparison module, a data storage module and a model reference module, wherein 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 the 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 function construction module is responsible for constructing a linear function by utilizing 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 thereof, the data judgment module is provided with a deviation value, then comparing the deviation linearity with the deviation value, the deviation linearity is larger than the deviation value, then representing that the data is abnormal and returning the abnormal data to the abnormal data feedback module, the deviation linearity is smaller than or equal to the deviation value, representing that the data is qualified and importing the qualified data into the data storage module, the data storage module comprises a basic data module, a model data module and a data module, the basic data module is responsible for storing building information basic data, the data module is responsible for storing the building information, the data is responsible for storing the building information, the model is responsible for storing the building information basic data, the model is responsible for mapping the building information and the model is responsible for mapping the model and the basic data to the data is corresponding to the qualified data and the data is mapped to the data by the model reference module, the data is mapped to the data is corresponding to the data module, and the data is corresponding to the qualified by the data module is judged to the data is qualified, the calling module is responsible for calling the building model storage data according to the data mapped by the qualified data and carrying out three-dimensional visual export on the building model storage data.
The abnormal data feedback module comprises a display module and a reentry module, wherein the display module is responsible for displaying abnormal data, then the abnormal data is manually arranged and judged, the abnormal data is modified if the abnormal data is error data, then the modified data is imported into the data comparison module through the reentry module, and when the abnormal data is normal data, the abnormal data is imported into the data comparison module through the reentry module, and the error 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, when the deviation linearity is larger than the function deviation, namely, the function deviation represents data abnormality, when the data imported by the reentry module is modified, the relation between the deviation linearity and the function deviation of the data is judged again, when the data imported by the reentry module is not modified, the relation between the deviation linearity and the limit deviation of the abnormal data 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 largest data in the limit deviation, then the largest data is listed as qualified data and imported into the data storage module, the abnormal data is marked, the function deviation represents the normal fluctuation range of the data, the limit deviation represents the allowable fluctuation range of the data, and the abnormal data cannot 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 building information basic data, the imported linear function is constructed by qualified data imported into a 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, when the period management is needed to be carried out on the qualified data, 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 the average value is used as new building information basic data.
The data storage module further comprises a reference module, when the mapping module maps the qualified data to the new building information base data, the reference module is responsible for referring to the mapped data by the original building information base data.
While the fundamental and principal features of the invention and advantages of the invention have been shown and described, 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 may be embodied in 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.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. The utility model provides a building data visual management system based on 3D digital scene, includes data collection module, data comparison module, data storage module and model quotation module, its 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 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 function construction module is responsible for constructing a linear function by utilizing 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 thereof, the data judgment module is provided with a deviation value, then the deviation linearity is compared with the deviation value, the deviation linearity is larger than the deviation value, the abnormal data is represented and returned to the abnormal data feedback module, the deviation linearity is smaller than or equal to the deviation value, the abnormal data is represented to be qualified and 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 building information, the model data can be mapped to the basic data after the building information is invoked according to the mapping module, the mapping module is invoked to the basic data, and the qualified data is mapped to the qualified by the data storage module, and the qualified data is mapped by the data storage module is mapped according to the data, and the qualified by the data is mapped by the data;
the abnormal data feedback module comprises a display module and a reentry module, wherein the display module is responsible for displaying abnormal data, then manually sorting and judging the abnormal data, modifying the abnormal data when the abnormal data is error data, then importing the modified data into the data comparison module through the reentry module, and importing the abnormal data into the data comparison module through the reentry module when the abnormal data is normal data;
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, namely, the data is abnormal, when the data imported by the re-input module is modified, the relation between the deviation linearity and the function deviation of the data is judged again, when the data imported by the re-input module is not modified, the relation between the deviation linearity and the limit deviation of the abnormal data is judged, when the deviation linearity of the abnormal data is smaller than the limit deviation, the data is used as qualified data to be imported into the data storage module, 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 listed as qualified data to be imported into the data storage module, and the abnormal data is marked;
the linear function comprises a basic linear function and an imported linear function, the basic linear function is constructed by building information basic data, the imported linear function is constructed by qualified data imported into a qualified data module, the function deviation is the maximum allowable deviation between the qualified data and the imported linear function, and the limit deviation is the maximum allowable deviation between the qualified data and the basic linear function;
the data storage module further comprises a data substitution module, when the period management is required to be carried out on the qualified data, 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 the average value is used as new building information basic data;
the method comprises the steps that initial building information basic data are named as original building information basic data, and the data storage module further comprises a reference module which is responsible for referring to the mapped data by the original building information basic data after the mapping module maps qualified data to new building information basic data.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109145366A (en) * | 2018-07-10 | 2019-01-04 | 湖北工业大学 | Building Information Model lightweight method for visualizing based on Web3D |
| CN110246226A (en) * | 2019-05-05 | 2019-09-17 | 中国人民解放军陆军工程大学 | Protection works operation management system and its management method based on BIM |
| CN111737789A (en) * | 2020-03-09 | 2020-10-02 | 深大本原智慧科技(深圳)有限公司 | Building data visualization management system based on 3D digital scene |
| CN112102111A (en) * | 2020-09-27 | 2020-12-18 | 华电福新广州能源有限公司 | Intelligent processing system for power plant data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11663375B2 (en) * | 2019-05-03 | 2023-05-30 | Willow Technology Corporation Pty Ltd | Configuration of a digital twin for a building or other facility via BIM data extraction and asset register mapping |
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- 2021-05-13 CN CN202110520447.1A patent/CN113139107B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109145366A (en) * | 2018-07-10 | 2019-01-04 | 湖北工业大学 | Building Information Model lightweight method for visualizing based on Web3D |
| CN110246226A (en) * | 2019-05-05 | 2019-09-17 | 中国人民解放军陆军工程大学 | Protection works operation management system and its management method based on BIM |
| CN111737789A (en) * | 2020-03-09 | 2020-10-02 | 深大本原智慧科技(深圳)有限公司 | Building data visualization management system based on 3D digital scene |
| CN112102111A (en) * | 2020-09-27 | 2020-12-18 | 华电福新广州能源有限公司 | Intelligent processing system for power plant data |
Non-Patent Citations (1)
| Title |
|---|
| 徐照，张路，索华，迟英姿.基于工业基础类的建筑物3D Tiles数据可视化.《浙江大学学报》.2019,第53卷(第6期),1-10. * |
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