CN113946564A - BIM and CIM-based spatio-temporal data modeling method - Google Patents
BIM and CIM-based spatio-temporal data modeling method Download PDFInfo
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- CN113946564A CN113946564A CN202111213282.XA CN202111213282A CN113946564A CN 113946564 A CN113946564 A CN 113946564A CN 202111213282 A CN202111213282 A CN 202111213282A CN 113946564 A CN113946564 A CN 113946564A
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Abstract
The invention relates to the technical field of modeling methods, and discloses a time-space data modeling method based on BIM and CIM, which comprises the following steps: loading space-time data, loading a section of space-time data to be used into an independent storage unit, and marking the section of space-time data as target data; step two: processing the target data, and performing data processing on the stored target data to finally obtain time data, space data and three-dimensional information data of the target data; step three: establishing a target data model; step four: analyzing the data model, and performing deep analysis on the data model from a physical layer, a logic layer and an application layer of the data model respectively; step five: and integrating the established target data model into BIM and CIM information operation platforms. The BIM and CIM-based space-time data modeling method is high in spatial data orderliness, short in modeling time and strong in expression capacity.
Description
Technical Field
The invention relates to the technical field of modeling methods, in particular to a time-space data modeling method based on BIM and CIM.
Background
Spatiotemporal data is data with both temporal and spatial dimensions, with more than 80% of real world data being related to geographic location. The space-time big data comprises three-dimensional information of time, space and special attributes, and has the comprehensive characteristics of multiple sources, mass and quick updating.
With the development and urbanization of cities, construction projects are no longer traditionally only around cities. In recent years, with the rapid development of deep learning technology, deep learning models of spatio-temporal data in the urban building field are also proposed.
The existing BIM and CIM-based spatio-temporal data modeling method usually depends on large-scale available data, but the large amount of big data can cause long modeling time and large spatial complexity, so that the uncertainty expression capability in the spatio-temporal data is weak. Therefore, the invention provides a BIM and CIM-based space-time data modeling method with fast modeling time and strong expression capability.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a BIM and CIM-based spatio-temporal data modeling method, which has the advantages of high spatial data orderliness, short modeling time and strong expression capability, and solves the problems of long modeling time and large spatial complexity of the conventional BIM and CIM-based spatio-temporal data modeling method, and thus, the problem of low working efficiency of uncertainty expression capability in spatio-temporal data is caused.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a time-space data modeling method based on BIM and CIM comprises the following specific steps:
the method comprises the following steps: loading space-time data, loading a section of space-time data to be used into an independent storage unit, and marking the section of space-time data as target data;
step two: processing the target data, and performing data processing on the stored target data to finally obtain time data, space data and three-dimensional information data of the target data;
step three: establishing a target data model
S1, creating a data list, firstly setting list items of time data, space data and three-dimensional information data, and then filling data corresponding to the time data, the space data and the three-dimensional information data into the back of the corresponding list items;
s2, importing list data, importing the space data and the three-dimensional information data list data into ArcGIS software, calculating the space distance of the influence variable through the ArcGIS, and calculating the space attraction value of the influence variable by using the space distance;
s3, subtracting the space distance from the space data and the three-dimensional information data value used for importing to obtain standard model data, and importing the standard model data into the Rhino software to obtain a space grid;
s4, visualizing the model, directly generating the model from the space grid and coloring to obtain a data target model, wherein the colored model can ensure the identification degree;
step four: analyzing the data model, and performing deep analysis on the data model from a physical layer, a logic layer and an application layer of the data model respectively;
step five: and integrating the established target data model into BIM and CIM information operation platforms.
Preferably, the storage unit in the first step is connected with the cloud end of the space-time data through the internet of things, and the storage unit can call the space-time data inside the corresponding cloud end according to the operation end.
Preferably, in the second step, the time data is expressed by a year, month, day, minute, and second, the spatial data is expressed by a position, a form, and a size, and the three-dimensional information data is expressed by (x, y, z) or Eg..
Preferably, as a result of the analysis in the fourth step, the physical layer mainly focuses on correcting the spatio-temporal data model, the spatio-temporal data model of the application layer is focused on meeting specific requirements of various fields, and the analysis of the logic layer ensures that the spatio-temporal data model has strong expression capability.
Preferably, in the fifth step, before the target data model is integrated into the BIM and CIM information operation platform, the target data model needs to be simulated, the model is further optimized, and the finally optimized target data model is output to the BIM and CIM information operation platform.
Preferably, the BIM module and the CIM module of the BIM and CIM information operation platform are linked with each other.
(III) advantageous effects
Compared with the prior art, the invention provides a time-space data modeling method based on BIM and CIM, which has the following beneficial effects:
1. according to the BIM and CIM-based spatio-temporal data modeling method, the three steps of loading spatio-temporal data, processing target data and establishing a target data model are adopted, the three steps are strong in target property, and the target data can be directly obtained, processed and modeled, so that the early-stage preparation time of the data is shortened, and the whole modeling process and the expression of the data are improved.
2. According to the time-space data modeling method based on the BIM and the CIM, the data model is deeply analyzed from the physical layer, the logic layer and the application layer of the data model respectively through data model analysis, so that the establishment of the target data model can be ensured again, and the target data model can be more accurately integrated into the BIM and CIM information operation platform.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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.
A time-space data modeling method based on BIM and CIM comprises the following specific steps:
the method comprises the following steps: loading space-time data, loading a section of space-time data to be used into an independent storage unit, and marking the section of space-time data as target data, wherein the space-time data can be directly loaded, and the phenomenon that the time for acquiring the space-time data is slow and complicated can be avoided;
step two: processing the target data, and performing data processing on the stored target data to finally obtain time data, space data and three-dimensional information data of the target data;
step three: establishing a target data model
S1, creating a data list, firstly setting list items of time data, space data and three-dimensional information data, and then filling data corresponding to the time data, the space data and the three-dimensional information data into the back of the corresponding list items;
s2, importing list data, importing the space data and the three-dimensional information data list data into ArcGIS software, calculating the space distance of the influence variable through the ArcGIS, and calculating the space attraction value of the influence variable by using the space distance;
s3, subtracting the space distance from the space data and three-dimensional information data values for importing to obtain standard model data, wherein the step can ensure the accuracy of the space data and the three-dimensional information data, and importing the standard model data into the Rhino software to obtain a space grid;
s4, visualizing the model, directly generating the model from the space grid and coloring to obtain a data target model, wherein the colored model can ensure the identification degree and ensure that an operator can visually see the model;
step four: analyzing the data model, and performing deep analysis on the data model from a physical layer, a logic layer and an application layer of the data model respectively;
step five: the established target data model is integrated to a BIM and CIM information operation platform, BIM and CIM technologies are taken as cores, the Internet of things and cloud computing information technologies are taken as means, and three stages of design, establishment and later-stage operation maintenance of the target data model are fused together to realize information sharing.
The storage unit in the step one is connected with the cloud end of the space-time data through the Internet of things, the storage unit can call the space-time data inside the corresponding cloud end according to the operation end, and the storage space of the storage unit is large enough to store a large amount of space-time data.
In the second step, the time data is represented by year, month, day, minute and second, the spatial data is represented by position, form and size, and the three-dimensional information data is represented by (x, y, z) or Eg.. Pi ═ Xi, Yi, Zi, … ….
According to the analysis result in the fourth step, the physical layer mainly focuses on correcting the time-space data model, the time-space data model of the application layer is focused on meeting the specific requirements of various fields, and the analysis of the logic layer ensures that the expression capacity of the time-space data model is strong.
And fifthly, before the target data model is integrated into the BIM and CIM information operation platform, the target data model needs to be simulated in a simulation mode, the model is further optimized, and the finally optimized target data model is output to the BIM and CIM information operation platform, so that the establishment of the target data model can be ensured again, and the target data model can be more accurately integrated into the BIM and CIM information operation platform.
The BIM module and the CIM module of the BIM and CIM information operation platform are linked with each other, so that information sharing of the spatial data model can be guaranteed.
In conclusion, when the BIM and CIM-based spatio-temporal data modeling method is used, the three steps of loading spatio-temporal data, processing target data and establishing a target data model are adopted, and the three steps are strong in target property and can directly acquire, process and model the target data, so that the early preparation time of the data is shortened, and the whole modeling process and the expression of the data are improved.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is 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 identical elements in a process, method, article, or apparatus that comprises the element.
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. A time-space data modeling method based on BIM and CIM is characterized by comprising the following specific steps:
the method comprises the following steps: loading space-time data, loading a section of space-time data to be used into an independent storage unit, and marking the section of space-time data as target data;
step two: processing the target data, and performing data processing on the stored target data to finally obtain time data, space data and three-dimensional information data of the target data;
step three: establishing a target data model
S1, creating a data list, firstly setting list items of time data, space data and three-dimensional information data, and then filling data corresponding to the time data, the space data and the three-dimensional information data into the back of the corresponding list items;
s2, importing list data, importing the space data and the three-dimensional information data list data into ArcGIS software, calculating the space distance of the influence variable through the ArcGIS, and calculating the space attraction value of the influence variable by using the space distance;
s3, subtracting the space distance from the space data and the three-dimensional information data value used for importing to obtain standard model data, and importing the standard model data into the Rhino software to obtain a space grid;
s4, visualizing the model, directly generating the model from the space grid and coloring to obtain a data target model, wherein the colored model can ensure the identification degree;
step four: analyzing the data model, and performing deep analysis on the data model from a physical layer, a logic layer and an application layer of the data model respectively;
step five: and integrating the established target data model into BIM and CIM information operation platforms.
2. The BIM and CIM-based spatio-temporal data modeling method according to claim 1, characterized in that: the storage unit in the first step is connected with the cloud end of the space-time data through the Internet of things, and the storage unit can call the space-time data inside the corresponding cloud end according to the operation end.
3. The BIM and CIM-based spatio-temporal data modeling method according to claim 1, characterized in that: in the second step, the time data is represented by year, month, day, minute, and second, the spatial data is represented by position, form, and size, and the three-dimensional information data is represented by (x, y, z) or Eg..
4. The BIM and CIM-based spatio-temporal data modeling method according to claim 1, characterized in that: according to the analysis result in the fourth step, the physical layer mainly focuses on correcting the time-space data model, the time-space data model of the application layer is focused on meeting the specific requirements of various fields, and the analysis of the logic layer ensures that the expression capacity of the time-space data model is strong.
5. The BIM and CIM-based spatio-temporal data modeling method according to claim 1, characterized in that: in the fifth step, before the target data model is integrated into the BIM and CIM information operation platform, the target data model needs to be simulated, the model is further optimized, and the finally optimized target data model is output to the BIM and CIM information operation platform.
6. The BIM and CIM-based spatio-temporal data modeling method according to claim 1, characterized in that: and the BIM module and the CIM module of the BIM and CIM information operation platform are linked with each other.
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