CN113591187A - Road and bridge design method and system based on BIM real scene model - Google Patents
Road and bridge design method and system based on BIM real scene model Download PDFInfo
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Abstract
The invention discloses a road and bridge design method and a system thereof based on a BIM (building information modeling) live-action model, which are used for acquiring construction environment information and construction quality control point data of a constructed bridge to establish a constructed bridge information base; acquiring preset bridge construction information and construction environment information of a bridge construction site from a design scheme to be constructed; respectively calculating and obtaining influence factor reference information matched with preset bridge information or construction environment information in the constructed bridge information base based on the constructed bridge information base; and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation. The matching degree between the constructed bridge information base and the information of the bridge to be constructed is calculated, the selected matching degree is the highest, then the corresponding influence factor reference information is obtained, and the missing part of the design scheme is checked, so that the construction scheme is more complete, and the construction quality is improved.
Description
Technical Field
The application relates to the field of road and bridge construction, in particular to a road and bridge design method and a road and bridge design system based on a BIM real scene model.
Background
The bridge engineering is a road and bridge engineering project and is characterized by long point and multiple lines, complex construction procedures and great field management difficulty but is extremely important.
Therefore, the inventor considers that the prior art has the following problems that the bridge construction is difficult to avoid the place where the deficiency is considered due to the fact that the procedures are more in handover, the intermediate products are more, the hidden projects are more, and the design of the early engineer is only relied on, and further the bridge construction quality is influenced.
Disclosure of Invention
In order to improve the quality of bridge construction, the application provides a road and bridge design method and a road and bridge design system based on a BIM live-action model.
In a first aspect, the present application provides a road and bridge design method based on a BIM live-action model, which adopts the following technical scheme:
a road and bridge design method based on a BIM real scene model comprises the following steps:
acquiring construction environment information and construction quality control point data of a bridge which is constructed so as to establish a constructed bridge information base;
acquiring preset bridge construction information and construction environment information of a bridge construction site from a design scheme to be constructed;
based on the constructed bridge information base, respectively calculating and obtaining influence factor reference information matched with the preset bridge information or the construction environment information in the constructed bridge information base;
and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
By adopting the technical scheme, information related to the bridge with the construction completed is obtained and used as reference information, the information of the bridge with the construction completed is information such as temperature, local climate, terrain feature and the like during bridge construction, and the construction quality control point data is, for example: how to prevent deviation of a cast-in-situ bored pile, how to make shrinkage during drilling, and the like, and information related to construction process cautions, collecting the obtained information to form an information base, then obtaining construction information related to the bridge to be constructed from a design scheme to be constructed, wherein the information comprises a bridge design drawing, a geographical environment of the place where the bridge is constructed, a climatic environment, construction materials and the like, then calculating the matching degree between the information base of the constructed bridge and the information of the bridge to be constructed through a preset calculation formula, selecting the highest matching degree, then obtaining corresponding influence factor reference information, namely obtaining construction quality cautions needing to be cautioned during bridge construction from the constructed bridge, comparing the obtained information with the information in the original design scheme to check the missing part of the design scheme, so that the construction scheme is more complete, the construction quality is improved, unnecessary troubles in subsequent construction are reduced, and then the actual model of the preset construction bridge is built by using the completed information.
Optionally, the matching degree between the information in the constructed bridge information base and the preset bridge information or the construction environment information is respectively calculated by the following formula:
wherein the content of the first and second substances,
representing the similarity, x represents preset bridge information in a constructed design scheme or a parameter corresponding to the construction environment information, y represents preset bridge information in an un-constructed design scheme or a parameter corresponding to the construction environment information, and a represents the weight.
By adopting the technical scheme and the formula, the matching degree of the relevant information of the constructed bridge and the bridge to be constructed is calculated, after the matching degree is calculated by the formula, the matched influence factor reference information is selected to design the bridge to be constructed, the places which are not considered in the original design scheme can be complemented, and finally the quality of the bridge constructed according to the designed information is greatly improved.
Optionally, the parameters corresponding to the construction environment information in the influence factor reference information include temperature information, terrain information, and climate information;
and calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information according to the temperature information, the terrain information and the climate information.
By adopting the technical scheme, the matching degree between the group of data in the constructed bridge and the air temperature information, the terrain information and the climate information (which can be inquired from the internet or obtained on the spot) in the bridge to be constructed is calculated by taking the air temperature information, the terrain information and the climate information as a group of reference considered data, and the data with the highest matching degree is selected as the reference to obtain construction cautions of the air temperature information, the terrain information and the climate information at the same time, such as the selection of concrete grade, cautions in concrete curing and the like.
Optionally, the matching degree between the information in the constructed bridge information base and the preset bridge information and the matching degree between the information in the constructed bridge information base and the construction environment information are respectively calculated in the following manners:
dividing training set data divided from a construction quality control point database into a sub-training set and a sub-testing set by a cross-validation method and training to obtain a training model;
verifying the trained training model by using the data in the test set;
and calculating preset bridge information or the construction environment information through a training model to obtain the matching degree of the preset bridge information or the construction environment information.
By adopting the technical scheme, the acquired data is divided into two parts, namely the training set and the test set, the data of the training set is trained, and the error of the trained data is calculated by the test set, so that accurate influence factor reference information is obtained, and the integrity and the construction quality of the bridge design scheme are improved.
Optionally, the step of dividing the data in the construction quality control point database into a training set and a testing set by a cross-validation method, and training the data in the training set to obtain a training model includes:
and performing dimensionality reduction on the training set by adopting a PCA algorithm to obtain a new training set.
By adopting the technical scheme, the sampling density of the sample can be increased (because the dimension is reduced) after a part of information is cut away, which is an important means for relieving dimension disaster; when the acquired preset bridge information or the construction environment information is influenced by noise, the eigenvector corresponding to the minimum eigenvalue is often related to the noise, and the eigenvector is discarded to play a noise reduction effect to a certain extent; the characteristics are independent: the PCA not only compresses data to a low dimension, but also makes features of the data after dimensionality reduction independent of each other, so that when the matching degree is calculated by the above formula, the speed in calculation and the accuracy of the result can be improved.
In a second aspect, the present application provides a road and bridge design system based on a BIM live-action model, which adopts the following technical scheme:
a road and bridge design system based on BIM live-action model, the system includes:
the constructed bridge information base establishing module is used for acquiring construction environment information and construction quality control point data of a constructed bridge to establish a constructed bridge information base;
the information acquisition module is used for acquiring preset bridge construction information and construction environment information of a bridge construction site from the design scheme to be constructed;
the matched influence factor reference information acquisition module is used for respectively calculating and acquiring influence factor reference information matched with the preset bridge information or the construction environment information in the constructed bridge information base based on the constructed bridge information base;
and the bridge realistic model building module is used for generating a bridge realistic model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
By adopting the technical scheme, information related to the bridge with the construction completed is obtained and used as reference information, the information of the bridge with the construction completed is information such as temperature, local climate, terrain feature and the like during bridge construction, and the construction quality control point data is, for example: how to prevent deviation of a cast-in-situ bored pile, how to make shrinkage during drilling, and the like, and information related to construction process cautions, collecting the obtained information to form an information base, then obtaining construction information related to the bridge to be constructed from a design scheme to be constructed, wherein the information comprises a bridge design drawing, a geographical environment of the place where the bridge is constructed, a climatic environment, construction materials and the like, then calculating the matching degree between the information base of the constructed bridge and the information of the bridge to be constructed through a preset calculation formula, selecting the highest matching degree, then obtaining corresponding influence factor reference information, namely obtaining construction quality cautions needing to be cautioned during bridge construction from the constructed bridge, comparing the obtained information with the information in the original design scheme to check the missing part of the design scheme, so that the construction scheme is more complete, unnecessary troubles in subsequent construction are reduced, and then the actual model of the preset construction bridge is built by using the improved information.
Optionally, in the matched influencing factor reference information obtaining module, the influencing factor reference information is calculated by the following modules:
the matching degree operator module is used for calculating parameters corresponding to the construction environment information in the influence factor reference information, wherein the parameters comprise temperature information, terrain information and climate information; and calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information according to the temperature information, the terrain information and the climate information.
By adopting the technical scheme, the matching degree between the group of data in the constructed bridge and the air temperature information, the terrain information and the climate information (which can be inquired from the internet or obtained on the spot) in the bridge to be constructed is calculated by taking the air temperature information, the terrain information and the climate information as a group of reference considered data, and the data with the highest matching degree is selected as the reference to obtain construction cautions of the air temperature information, the terrain information and the climate information at the same time, such as the selection of concrete grade, cautions in concrete curing and the like.
Optionally, in the matched influencing factor reference information obtaining module, the influencing factor reference information is calculated by the following modules:
the data training module divides training set data divided from the construction quality control point database into a sub-training set and a sub-testing set by a cross-validation method and trains the sub-training set and the sub-testing set to obtain a training model; verifying the trained training model by using the data in the test set; and calculating preset bridge information or the construction environment information through a training model to obtain the matching degree of the preset bridge information or the construction environment information.
By adopting the technical scheme, the acquired data is divided into the training set and the test set, the data of the training set is trained, and the error of the trained data is calculated by using the test set, so that accurate data is obtained, and the accuracy of data matching is improved.
In a third aspect, the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for designing a road bridge based on a BIM real scene model according to any one of the second aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the second aspect.
In summary, the present application has the following beneficial effects:
1. acquiring construction information related to the bridge to be constructed from a design scheme to be constructed, calculating the matching degree between the information base of the constructed bridge and the information of the bridge to be constructed through a preset calculation formula, selecting the highest matching degree, then acquiring corresponding influence factor reference information, namely acquiring construction quality cautions needing to be noticed during bridge construction from the constructed bridge, comparing the acquired information with the information in the original design scheme to check the missing part of the design scheme, so that the construction scheme is more complete, unnecessary troubles during subsequent construction are reduced, and then building an actual model of the preset construction bridge by using the completed information;
2. the matching degree between the set of data in the constructed bridge and the air temperature information, the topographic information and the climate information in the bridge to be constructed is calculated by taking the air temperature information, the topographic information and the climate information as a set of reference considered data, and the data with the highest matching degree is selected as a reference to obtain construction cautions of the air temperature information, the topographic information and the climate information at the same time, such as the selection of concrete grade, cautions in concrete curing and the like.
Drawings
FIG. 1 is a flowchart of a method for designing a road bridge based on a BIM live-action model according to an embodiment of the present invention;
FIG. 2 is a schematic overall structure diagram of a road and bridge design system based on a BIM live-action model according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses a road and bridge design method based on a BIM live-action model, referring to fig. 1, comprising the following steps:
s100: and acquiring construction environment information and construction quality control point data of the constructed bridge to establish a constructed bridge information base.
In this embodiment, the construction environment information refers to external factors that affect the construction quality aspects, such as the geographical environment and climate environment of the site where the bridge is constructed; the construction quality control point data refers to construction process, bridge linear control, stress control, stability control, personal safety of operators, construction material consumption and the like.
Specifically, construction environment information and construction quality control point data of the constructed bridge are acquired from the internet or from a construction design document or from other ways, and the acquired data are stored in a constructed bridge information base for calling.
S200: and acquiring preset bridge construction information and construction environment information of a bridge construction site from the design scheme to be constructed.
In this embodiment, the design plan to be constructed refers to information about the bridge acquired from the hands of an engineer; the construction environment information refers to relevant factors influencing construction quality.
Specifically, the acquired information is input into the system in a classified manner, the classified manner can be divided according to actual requirements (such as related to construction safety, influencing material selection, being related to piling and the like), and then the classified data is input into the system for storage.
S300: and respectively calculating and obtaining influence factor reference information matched with the preset bridge information or construction environment information in the constructed bridge information base based on the constructed bridge information base.
In this embodiment, the influencing factor reference information refers to relevant parameters that influence the aspects of construction quality, construction safety and the like; the preset calculation formula refers to
Wherein the content of the first and second substances,
representing similarity, x representing a parameter in the constructed design, y representing a parameter in the non-constructed design, and a representing a weight.
Specifically, the data in the constructed bridge information base are classified according to the classification mode of the bridge information to be constructed in the previous steps, such as the environment humidity, the environment temperature, the preset bearing capacity and the like which influence construction materials, and the piling influence, such as the terrain, the preset length of the bridge and the like, and the specific division can be performed according to the actual construction requirements. And then, calculating the matching degree of the two data by a preset calculation formula according to the considered factors (for example, the reference information in the aspect of bridge construction materials is required to be obtained).
For example, when considering the relevant information of construction materials, such as concrete, steel bars, construction points in the concrete pouring process, and the like, the reference data is obtained in the following manner: the location of the constructed bridge A belongs to: subtropical monsoon climate, the temperature during construction is in the range of 20 ℃ to 28 ℃ (in this embodiment, the calculation is taken as an integer, and the temperature includes 20 ℃, 21 ℃, 22 ℃, 23 ℃, 24 ℃, 25 ℃, 26 ℃, 27 ℃, 28 ℃ and the like), the average relative humidity is 79%, and the location of the constructed bridge B belongs to the following: in subtropical monsoon climate, the temperature during construction is in the range of 16 ℃ to 20 ℃ (in the embodiment, the temperature is calculated by taking integers and comprises 16 ℃, 17 ℃, 18 ℃, 19 ℃, 20 ℃ and the like), and the average relative humidity is 74%. The external environment information of the bridge to be constructed belongs to the following information: subtropical monsoon climate, the temperature during construction is in the range of 25-30 ℃, the average relative humidity is 78%,in the calculation, all word combinations (deduplication) are listed, the "temperature in the sub-tropical season weather construction is 7% 98 (the constructed bridge A, B is also listed in the above manner, but not listed one by one) within the range of 25 ℃ (here, 25 ℃ is taken as an example), the word frequency is calculated and the word frequency vector (i.e., the number of times each word of each group of data appears) is written, the word frequency vector of the constructed a is (1, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1,1,1,0, 1), the weight of the climate is 50%, the weight of the temperature is 30%, the humidity is 20% (the weight of each parameter can be defined by self according to the actual construction condition), and then the formula is substituted, so that the matching degree of the constructed bridge A and the bridge to be constructed is obtained
=
And the matching degree of the constructed bridge B and the bridge to be constructed is calculated by adopting the method, so that the bridge to be constructed should select the constructed bridge as a reference. After the reference bridge is selected, construction material information related to the bridge (the data is obtained from the internet or other available information sources in advance and stored in the system for calling) can be obtained, such as concrete grade, steel bar selection type and the like. The bridge information refers to relevant parameters of bridge design, such as bridge length, bridge camber and the like, and the calculation mode of the matching degree of the bridge information is consistent with the calculation of the construction environment information, which is not described herein again.
In other embodiments, the similarity between the constructed bridge and the bridge to be constructed may be calculated by selecting the influence factors by itself, for example, selecting the climate, the environmental humidity, and the temperature difference as reference calculations, or selecting the geographical environment (here, a river, a mountain, and the like in a route), the environmental humidity, and the temperature difference, which the bridge passes through, as reference calculations.
When relevant design in the aspect of piling is considered, influence factors such as rainfall, topography of a bridge construction place, climate and the like can be used as influence factor reference information, and actual requirements are specifically looked at and formulated.
In another embodiment, the matching degree may also be calculated in the following manner, after step S100, further, in an embodiment, training set data divided from the construction quality control point database is divided into a sub-training set and a sub-test set by a cross-validation method and trained to obtain a training model; verifying the trained training model by using the data in the test set; and calculating the preset bridge information or construction environment information through a training model to obtain the matching degree of the preset bridge information or construction environment information.
In this embodiment, the training model refers to a data model obtained by training data in the constructed bridge information base through an algorithm (in this embodiment, the FT-TM algorithm is used to train the data).
Specifically, the whole training set S is divided into k disjoint subsets, and assuming that the number of training samples in S is m, each subset has m/k training samples, and the corresponding subset is called { S1, S2, …, sk }; taking out one from the divided subsets each time as a test set, and taking the other k-1 as a training set; training a model by adopting an FT-TM algorithm; putting the model on a test set to obtain the classification accuracy; calculating the average value of the classification accuracy rates obtained for k times to serve as the real classification rate of the model, then using a training set to evaluate the generalization capability of the trained model to determine the accuracy of the trained model, and after the training model is obtained, inputting the obtained data into the training model to obtain the matching degree related to the preset bridge information or construction environment information.
Further, in one embodiment, a pca (principal Component analysis) algorithm is applied to the training set to perform dimensionality reduction to obtain a new training set.
In this embodiment, dimensionality reduction refers to reducing high-dimensional data to low-dimensional data.
Specifically, assuming that there are m pieces of n-dimensional data, the original data is divided intoForming an n-row m-column matrix X by columns; zero-averaging each row of X, i.e. subtracting the average of this row; solving a covariance matrix
(the covariance matrix corresponding to the original data matrix X is C); solving the eigenvalue of the covariance matrix and the corresponding eigenvector; arranging the eigenvectors into a matrix from top to bottom according to the size of the corresponding eigenvalue, and taking the first k rows to form a matrix P; y = PX is the data after dimension reduction to k dimension. After dimension reduction, the sampling density of the samples can be increased, and meanwhile, the influence of noise received by data can be reduced.
S400: and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
In this embodiment, the preset bridge design information refers to a construction scheme including a construction design drawing of a bridge.
Specifically, after all the influence factors are obtained through the steps, the modified bridge construction design parameters are input into three-dimensional modeling software, and a three-dimensional model of the bridge is built.
The embodiment further provides a road and bridge design system based on the BIM real-scene model, referring to fig. 2, the system includes: the system comprises a constructed bridge information base establishing module, an information acquiring module, a matched influence factor reference information acquiring module and a bridge real scene model establishing module.
The constructed bridge information base establishing module is used for acquiring construction environment information and construction quality control point data of a constructed bridge to establish a constructed bridge information base;
the information acquisition module is used for acquiring preset bridge construction information and construction environment information of a bridge construction site from the design scheme to be constructed;
the matched influence factor reference information acquisition module is used for respectively calculating and acquiring influence factor reference information matched with the preset bridge information or construction environment information in the constructed bridge information base based on the constructed bridge information base;
and the bridge realistic model building module is used for generating a bridge realistic model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
Further, the system further comprises: the matching degree calculation module is used for calculating the matching degree of the information in the constructed bridge information base and the preset bridge information or the construction environment information respectively through the following formulas:
wherein the content of the first and second substances,
representing the similarity, x represents the parameter corresponding to the preset bridge information or the construction environment information in the constructed design scheme, y represents the parameter corresponding to the preset bridge information or the construction environment information in the non-constructed design scheme, and a represents the weight.
Further, in the matched influence factor reference information acquisition module of the system, the influence factor reference information is calculated by the following modules:
the matching degree operator module is used for influencing parameters corresponding to the construction environment information in the factor reference information and comprises temperature information, terrain information and climate information; and calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information according to the temperature information, the terrain information and the climate information.
Further, the system further comprises: in the matched influence factor reference information acquisition module, the influence factor reference information is calculated through the following modules:
the data training module divides training set data divided from the construction quality control point database into a sub-training set and a sub-testing set by a cross-validation method and trains the sub-training set and the sub-testing set to obtain a training model; verifying the trained training model by using the data in the test set; and calculating the preset bridge information or construction environment information through a training model to obtain the matching degree of the preset bridge information or construction environment information.
Further, the system further comprises: and the data dimension reduction module is used for reducing the dimension of the training set by adopting a PCA algorithm to obtain a new training set.
The embodiment of the application also discloses a computer device, which can be a server, with reference to fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store historical suspicious behavior data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a binocular vision based bridge deck crack supervision method, comprising the steps of:
s100: acquiring construction environment information and construction quality control point data of a bridge which is constructed so as to establish a constructed bridge information base;
s200: acquiring preset bridge construction information and construction environment information of a bridge construction site from a design scheme to be constructed;
s300: respectively calculating and obtaining influence factor reference information matched with preset bridge information or construction environment information in the constructed bridge information base based on the constructed bridge information base;
s400: and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
The embodiment of the application also discloses a computer readable storage medium. In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
s100: acquiring construction environment information and construction quality control point data of a bridge which is constructed so as to establish a constructed bridge information base;
s200: acquiring preset bridge construction information and construction environment information of a bridge construction site from a design scheme to be constructed;
s300: respectively calculating and obtaining influence factor reference information matched with preset bridge information or construction environment information in the constructed bridge information base based on the constructed bridge information base;
s400: and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A road and bridge design method based on a BIM live-action model is characterized in that: the method comprises the following steps:
acquiring construction environment information and construction quality control point data of a bridge which is constructed so as to establish a constructed bridge information base;
acquiring preset bridge construction information and construction environment information of a bridge construction site from a design scheme to be constructed;
based on the constructed bridge information base, respectively calculating and obtaining influence factor reference information matched with the preset bridge information or the construction environment information in the constructed bridge information base;
and generating a bridge real-scene model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
2. The BIM live-action model-based road and bridge design method according to claim 1, wherein: respectively calculating the matching degree of the information in the constructed bridge information base and the preset bridge information or the construction environment information through the following formula:
wherein the content of the first and second substances,
representing similarity, x representing preset bridge information in a constructed design scheme or the construction environment informationAnd b, corresponding parameters, y represents preset bridge information in the non-construction design scheme or parameters corresponding to the construction environment information, and a represents weight.
3. The BIM live-action model-based road and bridge design method according to claim 1, wherein: parameters corresponding to the construction environment information in the influence factor reference information comprise temperature information, terrain information and climate information;
and calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information according to the temperature information, the terrain information and the climate information.
4. The BIM live-action model-based road and bridge design method according to claim 1, wherein: respectively calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information in the following modes:
dividing training set data divided from a construction quality control point database into a sub-training set and a sub-testing set by a cross-validation method and training to obtain a training model;
verifying the trained training model by using the data in the test set;
and calculating preset bridge information or the construction environment information through a training model to obtain the matching degree of the preset bridge information or the construction environment information.
5. The BIM live-action model-based road and bridge design method according to claim 4, wherein: the method comprises the following steps of dividing data in a construction quality control point database into a training set and a testing set by a cross validation method, and training the data in the training set to obtain a training model, wherein the steps comprise:
and performing dimensionality reduction on the training set by adopting a PCA algorithm to obtain a new training set.
6. The utility model provides a road and bridge design system based on BIM outdoor scene model which characterized in that: the system comprises:
the constructed bridge information base establishing module is used for acquiring construction environment information and construction quality control point data of a constructed bridge to establish a constructed bridge information base;
the information acquisition module is used for acquiring preset bridge construction information and construction environment information of a bridge construction site from the design scheme to be constructed;
the matched influence factor reference information acquisition module is used for respectively calculating and acquiring influence factor reference information matched with the preset bridge information or the construction environment information in the constructed bridge information base based on the constructed bridge information base;
and the bridge realistic model building module is used for generating a bridge realistic model by combining preset bridge design information according to the influence factor reference information obtained by calculation.
7. The BIM live-action model-based road and bridge design system according to claim 6, wherein: in the matched influence factor reference information acquisition module, the influence factor reference information is calculated through the following modules:
the matching degree operator module is used for calculating parameters corresponding to the construction environment information in the influence factor reference information, wherein the parameters comprise temperature information, terrain information and climate information; and calculating the matching degree of the information in the constructed bridge information base, the preset bridge information and the construction environment information according to the temperature information, the terrain information and the climate information.
8. The BIM live-action model-based road and bridge design system according to claim 6, wherein: in the matched influence factor reference information acquisition module, the influence factor reference information is calculated through the following modules:
the data training module divides training set data divided from the construction quality control point database into a sub-training set and a sub-testing set by a cross-validation method and trains the sub-training set and the sub-testing set to obtain a training model; verifying the trained training model by using the data in the test set; and calculating preset bridge information or the construction environment information through a training model to obtain the matching degree of the preset bridge information or the construction environment information.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: the processor, when executing the computer program, performs the steps of a method for designing a road bridge based on a BIM real estate model according to any of claims 1-5.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method according to any of claims 1-5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037299A (en) * | 2021-11-15 | 2022-02-11 | 广西科技大学 | Monitoring method for building bridge construction |
| CN114819628A (en) * | 2022-04-25 | 2022-07-29 | 浙江省通信产业服务有限公司 | Visual engineering supervision system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120072771A (en) * | 2010-12-24 | 2012-07-04 | 한국건설기술연구원 | System for analyzing bridge management information considering risk and value of bridge, and method for the same |
| CN107609304A (en) * | 2017-09-29 | 2018-01-19 | 中国铁道科学研究院铁道建筑研究所 | The fault diagnosis and prediction system and method based on PHM of LONG-SPAN RAILWAY bridge |
| CN107729673A (en) * | 2017-10-30 | 2018-02-23 | 中建三局第建设工程有限责任公司 | Road and bridge outdoor scene model analysis method, apparatus and its construction method based on BIM |
| CN108027949A (en) * | 2015-09-24 | 2018-05-11 | 富士胶片株式会社 | Rehabilitation plan formulates support system, method and program |
| CN110188426A (en) * | 2019-05-13 | 2019-08-30 | 青岛理工大学 | A kind of tunnel geology condition collaborative forecasting method |
| CN111335186A (en) * | 2020-03-05 | 2020-06-26 | 青岛理工大学 | Safety monitoring and early warning method and system for swivel bridge, storage medium and early warning platform |
| CN111597618A (en) * | 2020-05-19 | 2020-08-28 | 翟玉华 | Bridge monitoring system based on BIM-GIS |
| CN112598319A (en) * | 2020-12-30 | 2021-04-02 | 重庆源道建筑规划设计有限公司 | Intelligent bridge operation and maintenance management method and system based on BIM, computer equipment and storage medium |
| CN112699441A (en) * | 2020-12-30 | 2021-04-23 | 广州城市职业学院 | BIM-based assembly type on-site decoration feedback method, device, equipment and medium |
-
2021
- 2021-07-21 CN CN202110827433.4A patent/CN113591187B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20120072771A (en) * | 2010-12-24 | 2012-07-04 | 한국건설기술연구원 | System for analyzing bridge management information considering risk and value of bridge, and method for the same |
| CN108027949A (en) * | 2015-09-24 | 2018-05-11 | 富士胶片株式会社 | Rehabilitation plan formulates support system, method and program |
| CN107609304A (en) * | 2017-09-29 | 2018-01-19 | 中国铁道科学研究院铁道建筑研究所 | The fault diagnosis and prediction system and method based on PHM of LONG-SPAN RAILWAY bridge |
| CN107729673A (en) * | 2017-10-30 | 2018-02-23 | 中建三局第建设工程有限责任公司 | Road and bridge outdoor scene model analysis method, apparatus and its construction method based on BIM |
| CN110188426A (en) * | 2019-05-13 | 2019-08-30 | 青岛理工大学 | A kind of tunnel geology condition collaborative forecasting method |
| CN111335186A (en) * | 2020-03-05 | 2020-06-26 | 青岛理工大学 | Safety monitoring and early warning method and system for swivel bridge, storage medium and early warning platform |
| CN111597618A (en) * | 2020-05-19 | 2020-08-28 | 翟玉华 | Bridge monitoring system based on BIM-GIS |
| CN112598319A (en) * | 2020-12-30 | 2021-04-02 | 重庆源道建筑规划设计有限公司 | Intelligent bridge operation and maintenance management method and system based on BIM, computer equipment and storage medium |
| CN112699441A (en) * | 2020-12-30 | 2021-04-23 | 广州城市职业学院 | BIM-based assembly type on-site decoration feedback method, device, equipment and medium |
Non-Patent Citations (3)
| Title |
|---|
| 余少华;: "基于全寿命周期的预应力砼小箱梁设计", 华东交通大学学报, no. 05 * |
| 刘炼;: "基于BIM技术的三维地形场景构建研究", 电脑与电信, no. 06 * |
| 栾娟;郝宪武;赵宝俊;: "黄土沟壑地形斜陡坡对桩基承载力的影响", 长安大学学报(自然科学版), no. 06 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037299A (en) * | 2021-11-15 | 2022-02-11 | 广西科技大学 | Monitoring method for building bridge construction |
| CN114037299B (en) * | 2021-11-15 | 2022-05-31 | 广西科技大学 | Monitoring method for building bridge construction |
| CN114819628A (en) * | 2022-04-25 | 2022-07-29 | 浙江省通信产业服务有限公司 | Visual engineering supervision system |
| CN114819628B (en) * | 2022-04-25 | 2023-04-18 | 浙江省通信产业服务有限公司 | Visual engineering supervision system |
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