CN119648114B - A BIM data acquisition method and system for highway engineering - Google Patents
A BIM data acquisition method and system for highway engineering Download PDFInfo
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Abstract
The invention discloses a BIM data acquisition method and system for highway engineering, which relate to the technical field of BIM data acquisition, and are characterized in that an initial BIM model is imported, characteristics of geological information data are extracted, the data are output as a second BIM model, construction material information data corresponding to the geological characteristic data are obtained, the data are output as a third BIM model, construction material quantity data are obtained in real time, a construction material inventory early warning model is established, traffic flow data are obtained, and the traffic flow data are analyzed and output as a final BIM model.
Description
Technical Field
The invention relates to the technical field of BIM data acquisition, in particular to a BIM data acquisition method and system for highway engineering.
Background
Along with the rapid development of highway engineering, the project scale is continuously enlarged, the complexity is increasingly improved, the traditional engineering management and design method is difficult to meet the requirements of high efficiency and accuracy, a building information model is used as an advanced digital technology, and is widely applied in the fields of construction and infrastructure, and the BIM technology realizes the sharing and collaborative management of information by integrating various information in the whole life cycle of the project, including data in stages of design, construction, operation and the like, and remarkably improves the efficiency and quality of the engineering project.
At present, china patent application No. CN202311597573.2 discloses a building construction data acquisition method based on a BIM model, which comprises the steps of acquiring a target building image corresponding to a target building construction site, screening a target illumination area from the target building image, screening pixel points with maximum and minimum gray values from a preset neighborhood corresponding to illumination pixel points, carrying out illumination direction analysis processing on the illumination pixel points, determining an illumination center point according to an intersection point between illumination direction lines, and reinforcing the target building image according to the distance between the pixel points in the target building image and the illumination center point and the duty ratio of the gray values corresponding to the pixel points in the target building image to obtain a target reinforced image, and reinforcing a pre-constructed initial BIM model.
The technology is difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, realize sharing and collaborative management of information, and improve the information content of the BIM model and the convenience of project personnel management.
Disclosure of Invention
The technical problem solved by the invention is that the technology is difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, difficult to realize information sharing and collaborative management, and difficult to improve the information content of the BIM model and the convenience of project personnel management.
In order to solve the technical problems, the invention provides the following technical scheme:
A BIM data acquisition method for highway engineering comprises the following steps:
step S1, an initial BIM model is imported, terrain data of the initial BIM model is extracted, the terrain relief degree, the terrain roughness, the earth surface cutting depth and the elevation variation coefficient are calculated according to the terrain data, the exploration point arrangement position information and the exploration point number information are analyzed according to the terrain relief degree, the terrain roughness, the earth surface cutting depth and the elevation variation coefficient, a first corresponding relation among the exploration point arrangement position information, the exploration point number information and corresponding model coordinate data is established, and the first corresponding relation is input to an exploration point control end;
Step S2, the exploration point control end collects geological information according to the first corresponding relation, outputs the geological information data as geological information data, carries out data cleaning on the geological information data, extracts characteristics of the geological information data, outputs the characteristics as geological characteristic data, establishes a second corresponding relation between the geological characteristic data and model coordinate data, maps the geological characteristic data in the second corresponding relation into an initial BIM model according to the model coordinate data, and outputs the geological characteristic data as a second BIM model;
S3, inputting the geological feature data into a preset construction scheme model, acquiring construction material information data corresponding to the geological feature data, establishing a third corresponding relation between the construction material information data and model coordinate data, mapping the construction material information data in the third corresponding relation into a second BIM model according to the model coordinate data, and outputting the construction material information data as a third BIM model;
S4, acquiring construction material quantity data corresponding to the construction material information data in real time, establishing a construction material inventory early warning model, and outputting a construction material replenishment reminding signal;
and S5, extracting road information data in the third BIM model, acquiring traffic flow data, analyzing the traffic flow data, mapping an analysis result into the third BIM model, and outputting the analysis result as a final BIM model.
Preferably, the step S1 includes the following sub-steps:
Step S101, importing an initial BIM model, and extracting terrain data of the initial BIM model, wherein the terrain data comprises elevation data, gradient data, slope data and corresponding model coordinate data;
And step S102, inputting elevation data, gradient data, slope data and corresponding model coordinate data into ArcGISZ to obtain the relief degree, the roughness, the surface cutting depth and the elevation variation coefficient.
Preferably, the step S1 further includes the following sub-steps:
step S103, according to the fluctuation degree of the terrain, the roughness of the terrain, the cutting depth of the earth surface and the elevation variation coefficient, the arrangement position information of the exploration points and the quantity information of the exploration points are analyzed, and the logic for analyzing the arrangement position information of the exploration points and the quantity information of the exploration points according to the fluctuation degree of the terrain, the roughness of the terrain, the cutting depth of the earth surface and the elevation variation coefficient is as follows:
if the relief of the terrain is greater than 100 meters or the elevation variation coefficient is greater than 0.3, judging that the exploration point spacing is not more than 100 meters;
If the relief degree of the terrain is between 50 meters and 100 meters or the elevation variation coefficient is between 0.15 and 0.3, determining that the exploration point interval is between 100 meters and 200 meters;
If the relief of the terrain is less than 50 meters or the elevation variation coefficient is less than 0.15, determining that the exploration point distance is between 200 meters and 400 meters;
the number of the exploration points is based on a preset roughness grade and a preset surface cutting depth grade, and the number of the exploration points of a unit number is increased step by step on the preset basic exploration point number;
outputting position information and exploration point number information for exploration points;
Step S104, a first corresponding relation among the exploration point arrangement position information, the exploration point number information and the corresponding model coordinate data is established, and the first corresponding relation is input to an exploration point control end.
Preferably, the step S2 includes the following sub-steps:
Step S201, the exploration point control end collects geological information according to a first corresponding relation and outputs the geological information data;
Step S202, data cleaning is carried out on geological information data, the cleaning comprises regular expression matching and character string replacement, characteristics of the geological information data are extracted and output as geological characteristic data, and the characteristics in the geological characteristic data comprise geological structure characteristics, petrophysical characteristics, stratigraphic characteristics, geochemical characteristics and geophysical characteristics;
Step S203, a second corresponding relation between the geological feature data and the model coordinate data is established, the geological feature data in the second corresponding relation is mapped into the initial BIM model according to the model coordinate data, and the second BIM model is output.
Preferably, the step S3 includes the following sub-steps:
step S301, inputting geological feature data and construction types into a preset construction scheme model, and acquiring construction material information data corresponding to the geological feature data and the construction types, wherein the construction material information data comprises material names and specification models;
Step S302, a third corresponding relation between the construction material information data and the model coordinate data is established, the construction material information data in the third corresponding relation is mapped into the second BIM model according to the model coordinate data, and the construction material information data is output as a third BIM model.
Preferably, step S4 comprises the following sub-steps:
Step S401, construction material quantity data corresponding to the construction material information data are obtained in real time, and the construction material quantity data are mapped into a third BIM model;
step S402, a construction material inventory early warning model is established, and a construction material replenishment reminding signal is output.
Preferably, the logic of the construction material inventory pre-warning model is as follows:
establishing data connection with a construction material provider end to obtain construction material information data, wherein the construction material information data comprises material names, specification models, material quantity and stock states;
Setting an inventory threshold corresponding to a material name and a specification model, wherein the inventory threshold comprises a minimum inventory amount and a safety inventory amount, calculating an average consumption speed corresponding to the material name and the specification model, and outputting a construction material replenishment reminding signal according to construction material quantity data, the average consumption speed and the inventory threshold, wherein the construction material replenishment reminding signal comprises a replenishment material name, a replenishment specification model, a replenishment quantity and corresponding model coordinate data.
Preferably, step S5 comprises the following sub-steps:
Step S501, extracting road information data and construction type in a third BIM model, obtaining traffic flow data, inputting the construction type, the road information data and the traffic flow data into traffic tool module software for traffic flow simulation, and obtaining traffic jam condition information data;
Step S502, a fourth corresponding relation between the traffic congestion information data and the model coordinate data is established, the traffic congestion information data in the fourth corresponding relation is mapped into a third BIM model according to the model coordinate data, and the traffic congestion information data is output as a final BIM model.
Preferably, the construction type is used for judging whether the vehicle is suitable for traffic, if the construction type belongs to a preset construction type suitable for traffic, traffic flow simulation is performed, and if the construction type belongs to a preset construction type unsuitable for traffic, the traffic flow simulation is not performed and marked as no traffic.
The BIM data acquisition system for the highway engineering is applied to the BIM data acquisition method for the highway engineering and comprises an exploration point setting module, a geological information acquisition module, a construction condition acquisition module, a construction material early warning module and a traffic flow analysis module;
the exploration point setting module is used for importing an initial BIM model, extracting terrain data of the initial BIM model, calculating terrain relief, terrain roughness, earth surface cutting depth and elevation variation coefficients according to the terrain data, analyzing exploration point arrangement position information and exploration point quantity information according to the terrain relief, the terrain roughness, the earth surface cutting depth and the elevation variation coefficients, establishing a first corresponding relation among the exploration point arrangement position information, the exploration point quantity information and corresponding model coordinate data, and inputting the first corresponding relation to an exploration point control end;
The geological information acquisition module is used for acquiring geological information according to the first corresponding relation by the exploration point control end, outputting the geological information as geological information data, carrying out data cleaning on the geological information data, extracting characteristics of the geological information data, outputting the characteristics as geological characteristic data, establishing a second corresponding relation between the geological characteristic data and model coordinate data, mapping the geological characteristic data in the second corresponding relation into an initial BIM model according to the model coordinate data, and outputting the geological characteristic data as a second BIM model;
the construction condition acquisition module is used for inputting the geological feature data into a preset construction scheme model, acquiring construction material information data corresponding to the geological feature data, establishing a third corresponding relation between the construction material information data and model coordinate data, mapping the construction material information data in the third corresponding relation into a second BIM model according to the model coordinate data, and outputting the construction material information data as a third BIM model;
The construction material early warning module is used for acquiring construction material quantity data corresponding to construction material information data in real time, establishing a construction material inventory early warning model and outputting construction material replenishment reminding signals;
the traffic flow analysis module is used for extracting road information data in the third BIM model, acquiring traffic flow data, analyzing the traffic flow data, mapping an analysis result into the third BIM model, and outputting the analysis result as a final BIM model.
The invention has the beneficial effects that the invention remarkably improves the efficiency and the precision of the highway engineering BIM data acquisition, optimizes the arrangement of exploration points through intelligent analysis, realizes the efficient integration and collaborative management of information, simultaneously, intelligently constructs the material management, ensures the sufficiency of materials, avoids delay, supports the traffic flow simulation, provides scientific basis for traffic planning, promotes the digital transformation of the highway engineering, improves the overall level of design, construction and operation management, and has remarkable social and economic benefits.
Drawings
FIG. 1 is a flow chart of steps of a BIM data collection method for highway engineering according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a basic flow of a BIM data collection system for highway engineering according to an embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings.
Embodiment 1, referring to fig. 1, provides a BIM data acquisition method for highway engineering, comprising the following steps:
Step S1, an initial BIM model is imported, terrain data of the initial BIM model is extracted, the terrain relief degree, the terrain roughness, the earth surface cutting depth and the elevation variation coefficient are calculated according to the terrain data, the exploration point arrangement position information and the exploration point number information are analyzed according to the terrain relief degree, the terrain roughness, the earth surface cutting depth and the elevation variation coefficient, a first corresponding relation among the exploration point arrangement position information, the exploration point number information and corresponding model coordinate data is established, and the first corresponding relation is input to an exploration point control end.
Step S2, the exploration point control end collects geological information according to the first corresponding relation, outputs the geological information data as geological information data, carries out data cleaning on the geological information data, extracts characteristics of the geological information data, outputs the characteristics as geological characteristic data, establishes a second corresponding relation between the geological characteristic data and model coordinate data, maps the geological characteristic data in the second corresponding relation into an initial BIM model according to the model coordinate data, and outputs the geological characteristic data as a second BIM model.
And S3, inputting the geological feature data into a preset construction scheme model, acquiring construction material information data corresponding to the geological feature data, establishing a third corresponding relation between the construction material information data and model coordinate data, mapping the construction material information data in the third corresponding relation into a second BIM model according to the model coordinate data, and outputting the construction material information data as a third BIM model.
And S4, acquiring construction material quantity data corresponding to the construction material information data in real time, establishing a construction material inventory early warning model, and outputting a construction material replenishment reminding signal.
And S5, extracting road information data in the third BIM model, acquiring traffic flow data, analyzing the traffic flow data, mapping an analysis result into the third BIM model, and outputting the analysis result as a final BIM model.
Step S1 comprises the following sub-steps:
step S101, importing an initial BIM model, and extracting terrain data of the initial BIM model, wherein the terrain data comprises elevation data, gradient data, slope data and corresponding model coordinate data.
Step S101 imports an initial BIM model, and successfully extracts topographic data including elevation data, gradient data, slope data, and corresponding model coordinate data, which are the basis for subsequent analysis, providing necessary information for subsequent steps.
And step S102, inputting elevation data, gradient data, slope data and corresponding model coordinate data into ArcGISZ to obtain the relief degree, the roughness, the surface cutting depth and the elevation variation coefficient.
Step S102 inputs the extracted topographic data into ArcGISZ, and successfully obtains key topographic parameters such as topographic relief, topographic roughness, surface cutting depth, elevation variation coefficient and the like, wherein the parameters are important bases for analyzing the arrangement positions and the number of the exploration points.
Step S1 further comprises the following sub-steps:
step S103, according to the fluctuation degree of the terrain, the roughness of the terrain, the cutting depth of the earth surface and the elevation variation coefficient, the arrangement position information of the exploration points and the quantity information of the exploration points are analyzed, and the logic for analyzing the arrangement position information of the exploration points and the quantity information of the exploration points according to the fluctuation degree of the terrain, the roughness of the terrain, the cutting depth of the earth surface and the elevation variation coefficient is as follows:
If the relief of the terrain is greater than 100 meters or the elevation variation coefficient is greater than 0.3, the exploration point spacing is judged to be not more than 100 meters.
If the relief of the terrain is between 50 meters and 100 meters or the elevation variation coefficient is between 0.15 and 0.3, the exploration point spacing is between 100 meters and 200 meters.
If the relief of the terrain is less than 50 meters or the elevation variation coefficient is less than 0.15, the exploration point spacing is judged to be between 200 meters and 400 meters.
The number of the exploration points is based on a preset roughness grade and a preset surface cutting depth grade, and the number of the exploration points is increased by one unit number step by step on the preset basic exploration point number.
And outputting position information and number of exploration points for exploration point arrangement.
Step S103 reasonably analyzes and determines the arrangement position information and the number information of the exploration points according to the relief degree, the roughness, the surface cutting depth and the elevation variation coefficient of the terrain, considers the influence of the terrain features on the arrangement of the exploration points, ensures that the arrangement of the exploration points can fully reflect the terrain features, and provides accurate basic data for the subsequent geological exploration work.
Step S104, a first corresponding relation among the exploration point arrangement position information, the exploration point number information and the corresponding model coordinate data is established, and the first corresponding relation is input to an exploration point control end.
Step S104, a first corresponding relation among the exploration point arrangement position information, the exploration point number information and the corresponding model coordinate data is established, and the corresponding relation is input to an exploration point control end, so that convenience is provided for subsequent geological exploration work, the exploration work can be carried out according to preset positions and numbers, and the efficiency and accuracy of the exploration work are improved.
Step S1 is intended to determine reasonable survey point placement location information and survey point count information by means of the analysis function of ArcGISZ software using the terrain data of the initial BIM model through a series of sub-steps. The process combines a plurality of terrain parameters to ensure that the arrangement of the exploration points can fully reflect the terrain characteristics, provides accurate basic data for subsequent geological exploration work, and finally, the step S1 inputs the output exploration point arrangement position information, exploration point number information and model coordinate data corresponding to the information to an exploration point control end through a first corresponding relation, thereby providing convenience for the subsequent geological exploration work.
Step S2 comprises the following sub-steps:
step S201, the exploration point control end collects geological information according to the first corresponding relation and outputs the geological information data.
Step S201, geological information acquisition is carried out through the exploration point control terminal according to a preset first corresponding relation. The sub-step has the effect of acquiring accurate and comprehensive geological information data and provides a basis for subsequent data processing and analysis. Through the first corresponding relation, the acquired geological information can be matched with parameters such as geographic position, depth and the like of the exploration point, and an accurate data source is provided for subsequent geological feature extraction and model mapping.
Step S202, data cleaning is carried out on the geological information data, the cleaning comprises regular expression matching and character string replacement, characteristics of the geological information data are extracted, and the characteristics are output as geological characteristic data, and the characteristics in the geological characteristic data comprise geological structure characteristics, petrophysical characteristics, stratigraphic characteristics, geochemical characteristics and geophysical characteristics.
Step S202 performs data cleaning and feature extraction on the geological information data. The data cleaning comprises regular expression matching, character string replacement and other operations, aims at removing noise and redundant information in the data, improving the accuracy and the readability of the data, extracting key geological features from geological information data by feature extraction, such as geological structure features, petrophysical features, stratigraphic features, geochemical features, geophysical features and the like, and the sub-step has the effect of generating geological feature data with definite geological features and providing powerful support for subsequent geological feature mapping.
Step S203, a second corresponding relation between the geological feature data and the model coordinate data is established, the geological feature data in the second corresponding relation is mapped into the initial BIM model according to the model coordinate data, and the second BIM model is output.
Step S203 establishes a second correspondence between the geological feature data and the model coordinate data, and maps the geological feature data to the initial BIM model according to the model coordinate data, which has the effect of combining the geological information with the BIM model to generate a second BIM model containing the geological information. Through the second corresponding relation, the accurate position of the geological feature data in the BIM model can be ensured, so that a building designer and constructors can intuitively know geological conditions, and corresponding measures are taken to cope with potential geological risks in the design and construction processes.
Step S2 is intended to convert the geological information data obtained at the exploration point into geological feature data usable for constructing the BIM model and map it into the initial BIM model, thereby generating a second BIM model containing geological information, which is important for considering geological factors in the building design and construction process, and helps to improve the safety and efficiency of the project.
Step S3 comprises the following sub-steps:
step S301, inputting the geological feature data and the construction type into a preset construction scheme model, and acquiring construction material information data corresponding to the geological feature data and the construction type, wherein the construction material information data comprises a material name and a specification model.
Step S301 takes geological feature data and a construction type as input, and processes the geological feature data and the construction type through a preset construction scheme model. The construction scheme model is based on a large amount of engineering practice data and professional knowledge, and can intelligently recommend proper construction materials according to geological features and construction types, and the effect of the substep is to acquire construction material information data closely related to the geological feature data and the construction types, including material names and specification models. The data provides important basis for subsequent construction material selection and purchase.
Step S302, a third corresponding relation between the construction material information data and the model coordinate data is established, the construction material information data in the third corresponding relation is mapped into the second BIM model according to the model coordinate data, and the construction material information data is output as a third BIM model.
Step S302 establishes a third corresponding relation between construction material information data and model coordinate data, and maps the construction material information data into a second BIM model according to the model coordinate data, and through the sub-step, the construction material information is accurately associated to the corresponding position of the BIM model, so that constructors can intuitively know the type and specification of materials required by each construction part. The method is not only beneficial to material management and allocation in the construction process, but also can improve the construction efficiency and quality, and finally, a third BIM model containing detailed construction material information is output, so that powerful support is provided for each work in the construction stage.
And S3, comprehensively considering the geological feature data and the construction type, determining proper construction material information data through a preset construction scheme model, combining the construction material information data with the BIM model, and generating a third BIM model containing construction material information, wherein the step has important significance for optimizing the construction scheme, improving the construction efficiency and ensuring the engineering quality.
Step S4 comprises the following sub-steps:
And S401, acquiring construction material quantity data corresponding to the construction material information data in real time, and mapping the construction material quantity data into a third BIM model.
Step S401 obtains construction material quantity data corresponding to construction material information data in real time, and maps the data into a third BIM model, and the effect of the substep is to ensure that the construction material quantity data in the BIM model is consistent with the actual construction site, so that constructors and management staff can know consumption conditions and surplus quantity of materials in real time, which is beneficial to optimizing use and allocation of materials and reducing waste and shortage.
Step S402, a construction material inventory early warning model is established, and a construction material replenishment reminding signal is output.
The logic of the construction material inventory early warning model is as follows:
And establishing data connection with a construction material provider end to acquire construction material information data, wherein the construction material information data comprises material names, specification models, material quantity and stock states.
Setting an inventory threshold corresponding to a material name and a specification model, wherein the inventory threshold comprises a minimum inventory amount and a safety inventory amount, calculating an average consumption speed corresponding to the material name and the specification model, and outputting a construction material replenishment reminding signal according to construction material quantity data, the average consumption speed and the inventory threshold, wherein the construction material replenishment reminding signal comprises a replenishment material name, a replenishment specification model, a replenishment quantity and corresponding model coordinate data.
Step S402 establishes a construction material inventory pre-warning model and outputs a construction material replenishment reminding signal. The method has the advantages that the real-time monitoring and early warning of the construction material inventory are realized through the intelligent inventory management system, the model is connected with a construction material provider end to acquire detailed construction material information data including material names, specification models, material quantity, inventory states and the like, meanwhile, the model sets inventory thresholds corresponding to the material names and the specification models, including the minimum inventory quantity and the safety inventory quantity, and calculates the average consumption speed according to historical data, when the actual inventory quantity is lower than the set inventory threshold, the model automatically outputs construction material replenishment reminding signals, including replenishment material names, replenishment specification models, replenishment quantity, corresponding model coordinate data and the like, which is beneficial to constructors and managers to timely take measures to replenish, and sufficient supply of construction materials is ensured.
Step S5 comprises the following sub-steps:
Step S501, extracting road information data and construction type in the third BIM model, obtaining traffic flow data, inputting the construction type, the road information data and the traffic flow data into traffic tool module software for traffic flow simulation, and obtaining traffic jam condition information data.
Step S501 first extracts road information data and construction type in the third BIM model, which are the basis for performing traffic flow simulation, and then acquires actual traffic flow data reflecting traffic conditions of roads under normal conditions. These data are then input into the vehicle module software for traffic flow simulation. In the simulation process, whether the vehicle is suitable for traffic is judged according to the construction type, if the construction type belongs to the preset construction type suitable for traffic, the simulation is continued to predict the possible traffic jam situation during the construction period, and if the construction type belongs to the preset construction type unsuitable for traffic, the vehicle is directly marked as forbidden traffic, the simulation is not performed, and the effect of the step is that accurate traffic jam situation information data is generated, so that scientific basis is provided for subsequent construction traffic management.
Step S502, a fourth corresponding relation between the traffic congestion information data and the model coordinate data is established, the traffic congestion information data in the fourth corresponding relation is mapped into a third BIM model according to the model coordinate data, and the traffic congestion information data is output as a final BIM model.
The construction type is used for judging whether the vehicle is suitable for traffic, if the construction type belongs to a preset construction type suitable for traffic, traffic flow simulation is carried out, and if the construction type belongs to a preset construction type unsuitable for traffic, the traffic flow simulation is not carried out and marked as no traffic.
Step S502 establishes a fourth corresponding relation between traffic congestion situation information data and model coordinate data, which is a key step of mapping traffic information to a BIM model, through which the traffic congestion situation information data can be accurately positioned to the corresponding position of the BIM model, and then the traffic congestion situation information data is mapped to a third BIM model according to the model coordinate data to form a final BIM model containing the traffic information, and the sub-step has the effect that the BIM model not only contains information of a building, but also contains traffic information during construction, and visual and comprehensive visual support is provided for traffic management during construction.
The step S5 is aimed at carrying out traffic flow simulation by comprehensively considering road information data, construction type and actual traffic flow data in the third BIM model, so as to predict and evaluate possible traffic jam situations during construction, which has important significance for formulating an effective traffic management scheme, reducing the influence of construction on surrounding traffic and improving the traffic efficiency during construction, and finally, mapping the traffic jam situation information data into the BIM model to form a final BIM model containing traffic information, thereby providing visual and comprehensive visual support for traffic management during construction.
According to the method, rapid acquisition and processing of information such as terrain, geology and construction materials are realized by means of automation and intellectualization, the data acquisition efficiency is remarkably improved, meanwhile, professional software such as ArcGIS is utilized for analysis and calculation, the accuracy and reliability of the data are further improved, the arrangement positions and the quantity of exploration points can be intelligently analyzed according to parameters such as the fluctuation degree of the terrain, the roughness of the terrain, the cutting depth of the earth surface and the elevation variation coefficient, the pertinence and the effectiveness of exploration work are ensured, the blindness and the repeatability of the exploration work are reduced, the exploration cost is reduced, various acquired information is integrated into a BIM model, the sharing and collaborative management of the information are realized, and the method is beneficial to better knowing the condition of projects and improving the scientificity and the accuracy of decisions of all parties of the project. Meanwhile, the visual function of the BIM model enables project management and communication to be more visual and convenient, and by establishing a construction material inventory early warning model, the method can monitor the quantity and state of construction materials in real time, timely send out replenishment reminding signals and ensure sufficient supply of the construction materials, so that construction delay and cost increase caused by construction material shortage are avoided, the utilization rate and management level of the construction materials are improved, road information data in the BIM model can be extracted, and traffic flow simulation is carried out by combining construction types and traffic flow data, so that scientific basis is provided for traffic planning and operation management of highway engineering, and the method is beneficial to optimizing traffic flow lines, relieving traffic jams and improving road traffic capacity.
Embodiment 2, referring to fig. 2, a BIM data acquisition system for highway engineering is provided, which includes an exploration point setting module, a geological information acquisition module, a construction condition acquisition module, a construction material early warning module, and a traffic flow analysis module.
The exploration point setting module is used for importing an initial BIM model, extracting terrain data of the initial BIM model, calculating terrain relief degree, terrain roughness, earth surface cutting depth and elevation variation coefficient according to the terrain data, analyzing exploration point arrangement position information and exploration point quantity information according to the terrain relief degree, the terrain roughness, the earth surface cutting depth and the elevation variation coefficient, establishing a first corresponding relation among the exploration point arrangement position information, the exploration point quantity information and corresponding model coordinate data, and inputting the first corresponding relation to the exploration point control end.
The geological information acquisition module is used for acquiring geological information according to the first corresponding relation by the exploration point control end, outputting the geological information data as geological information data, carrying out data cleaning on the geological information data, extracting characteristics of the geological information data, outputting the characteristics as geological characteristic data, establishing a second corresponding relation between the geological characteristic data and model coordinate data, mapping the geological characteristic data in the second corresponding relation into an initial BIM model according to the model coordinate data, and outputting the geological characteristic data as a second BIM model.
The construction condition acquisition module is used for inputting the geological feature data into a preset construction scheme model, acquiring construction material information data corresponding to the geological feature data, establishing a third corresponding relation between the construction material information data and model coordinate data, mapping the construction material information data in the third corresponding relation into a second BIM model according to the model coordinate data, and outputting the construction material information data into a third BIM model.
The construction material early warning module is used for acquiring construction material quantity data corresponding to the construction material information data in real time, establishing a construction material inventory early warning model and outputting construction material replenishment reminding signals.
The traffic flow analysis module is used for extracting road information data in the third BIM model, acquiring traffic flow data, analyzing the traffic flow data, mapping an analysis result into the third BIM model, and outputting the analysis result as a final BIM model.
The system remarkably improves the data acquisition efficiency by means of automatic and intelligent means, performs terrain analysis by utilizing professional software such as ArcGIS and the like, ensures the accuracy and reliability of data, lays a solid foundation for subsequent work, intelligently analyzes and determines the arrangement positions and quantity of exploration points according to parameters such as the relief degree, the roughness, the surface cutting depth, the elevation variation coefficient and the like of the terrain, reduces the blindness and repeatability of exploration work, optimizes an exploration scheme, reduces the exploration cost, ensures the accuracy and the comprehensiveness of exploration results, integrates various acquired information into a BIM model, realizes the sharing and collaborative management of the information, improves the communication efficiency and the decision accuracy of all parties of the project, the visual function of the BIM model enables project management and communication to be more visual and convenient, is beneficial to improving the overall management level of projects, establishes a construction material inventory early warning model, monitors the quantity and state of construction materials in real time, timely sends out replenishment reminding signals, ensures sufficient supply of the construction materials, improves the utilization rate and management level of the construction materials, avoids construction delay and cost increase caused by material shortage, extracts road information data in the BIM model, combines construction types and traffic flow data to perform traffic flow simulation, provides scientific basis for traffic planning and operation management of highway engineering, optimizes traffic flow lines, relieves traffic jams, and improves road traffic capacity and traffic safety.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
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