CN113467315A - BIM technology-based tunnel engineering automatic monitoring control method and system - Google Patents
BIM technology-based tunnel engineering automatic monitoring control method and system Download PDFInfo
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Abstract
The invention belongs to the technical field of highway tunnel construction application, and particularly discloses a tunnel engineering automatic monitoring control method and system based on a BIM (building information modeling) technology, which comprises the following steps of 1, determining a key safety quality information object for intelligent construction of a highway tunnel; step 2, intelligently acquiring the obtained key construction information of the tunnel construction; and 3, establishing modules such as a componentization system, data calculation, interface conversion and the like, wherein the system comprises a BIM (building information modeling) model, a deep learning module and a management and control standard module. The invention has the beneficial effects that: the method has the advantages that efficient and reliable collection of key quality information, efficient transmission of the Internet of things and visual management of quality safety in the tunnel construction process are achieved, tunnel construction safety and quality guarantee technologies based on big data are established according to a tunnel safety quality multi-source heterogeneous data fusion analysis and evaluation method, and efficient analysis and intelligent decision-making based on key engineering construction information data such as tunnel construction period geological conditions, surrounding rock deformation and lining quality are achieved.
Description
Technical Field
The invention belongs to the technical field of highway tunnel construction, and particularly relates to a BIM technology-based tunnel engineering automatic monitoring control method and system.
Background
At present, China is a country with the largest tunnel scale, the largest number and total length, the most complex geological conditions and structural forms and the fastest development speed of construction technology in the world. However, the construction of tunnel engineering in China currently mostly follows the traditional mine method (mainly 'manual work + small machinery'), the mechanization and intelligentization degrees are low, and the tunnel engineering construction method has a small gap with developed countries especially in the aspects of forming autonomous and internationally recognized tunnel construction theories, construction methods, original innovative construction tools and the like. The traditional tunnel engineering construction has the defects of limited application of large machinery, high labor input, high operation intensity, high safety quality control difficulty and multiple diseases during operation, and seriously restricts the technical progress of tunnel construction in China.
The intelligent construction of the tunnel is an innovative construction mode formed by fusing a new generation of information technology and tunnel construction. The intelligent construction utilizes a new generation of information technology (such as internet, internet of things, big data, cloud computing, artificial intelligence, BIM and the like) which is characterized by digitization, informatization, intellectualization and high-efficiency data, computing power and algorithm, and realizes intelligent judgment of surrounding rocks, intelligent design of structures, intelligent construction of excavation and support, intelligent management and control of quality and safety through standardized modeling, networked interaction, visual cognition, high-performance computing and intelligent decision support on the basis of digitization of tunnel construction element resources, so as to construct a new tunnel construction mode with high quality, high efficiency and no (few) people.
The Guizhou province is the inland abdominal land in the southwest of China, is an important component of the traffic hub and the Changjiang river economic zone in the southwest of China, and is also the first construction trial area of the strong traffic countries in China. Both the national strategic demands and the Guizhou local development bring new opportunities for the Guizhou traffic infrastructure development. Meanwhile, higher requirements are provided for engineering construction safety management, quality management and the like in western regions such as Guizhou.
Therefore, under the background, research in related fields of tunnel engineering intelligent construction is developed, and the method has important strategic significance for responding to national 'strong traffic country' strategy, promoting industry progress, leading industry upgrade and the like.
Tunnel engineering is widely used in traffic infrastructure construction because of its superiority in improving line conditions, shortening line mileage, facilitating environmental protection, etc. However, the construction method is also limited by the occurrence environment, and in the construction process of the tunnel engineering, the geological conditions are difficult to accurately find, the process method is limited by space-time limitation and other adverse factors, so that the structural quality and the safety risk of the construction method face a plurality of uncertain factors, and the construction accidents and the operation diseases of the tunnel engineering are frequent. Therefore, the safe and efficient construction principle and method of tunnel engineering (mainly relating to surrounding rock condition prejudgment, safe and stable early warning, structure quality control, intelligent construction combining the three contents and new generation information technology) are new scientific and practical problems in the engineering and academic circles, and wide scientists and engineering technicians develop continuous targeted research.
In the aspect of advanced geological forecast based on geophysical prospecting technology and matching and prejudging of drilling speed and geological conditions, GPR geological radar, TSP advanced geological forecast and horizontal drilling geological forecast results are contrasted, the superiority and effectiveness of advanced horizontal physical drilling are confirmed, and the relation between parameters such as tunnel drilling speed and torque and surrounding rock lithology is preliminarily discussed; the method is characterized in that the Fuhao adopts a physical drilling technology, an intelligent calculation method based on bionics is designed, and by constructing a conversion relation between drilling parameters and surrounding rocks, the identification of a stratum interface and unfavorable geology and the classification of the surrounding rocks are realized, so that the digitization of the physical drilling process is promoted; zhao pengyu combines the panoramic digital camera shooting technology with the advanced drilling technology, and further enriches the information acquisition of the physical drilling process.
In the aspect of tunnel safety stability early warning based on surrounding rock deformation monitoring measurement, meihuan combines a digital image processing technology and a machine vision information acquisition method, three-dimensional point cloud reconstruction of the surrounding rock surface is realized through a projection algorithm, and the method is applied to identify characteristic parameters such as tunnel rock joints, dip angles and the like, but capture of three-dimensional deformation information is not completed; the cold powerful system systematically researches a surrounding rock information acquisition technology based on digital images, constructs the internal relation between image characteristic parameters and surrounding rock lithology by combining an intelligent algorithm, develops a calculation method for three-dimensional reconstruction of the surrounding rock, and does not finish accurate identification of spatial deformation of the surrounding rock; multiple image recognition algorithms such as template matching are designed by Zhao huijong, deformation measurement of tunnel surrounding rock based on digital images is preliminarily realized under strict limiting conditions, ideal precision of the tunnel surrounding rock can reach 0.108mm, and corresponding standard requirements are met.
In the aspects of supporting structure quality monitoring and long-term performance degradation based on a nondestructive testing technology, the existing research shows that the EMI testing technology has ideal sensitivity to the concrete strength and the change of damage, for example, Soh collects high-frequency conductivity admittance signals of a concrete beam bridge structure under different load effects, and carries out corresponding destructive tests, and the result shows that when the EMI technology is applied to the reinforced concrete structure damage monitoring, the EMI technology has higher sensitivity and can effectively monitor the initiation and development of structural defects; bhallas performs corresponding vibration table test and electrical impedance signal test on the two-layer reinforced concrete frame structure, provides the concept of effective impedance, establishes a new structure damage detection method, and proves that the method has good effectiveness through test results; tseng uses an impedance method to detect material property degradation of concrete due to environmental insults, such as sulfate corrosion and acid corrosion. At the present stage, however, the EMI technology is applied to the ground structure and the test of the strength and damage of the concrete structure, and the application research in the underground structure and the tunnel engineering is relatively less, and the informatization and intelligentization level is still low.
In the aspect of tunnel safety quality control based on a new generation of information technology, along with the continuous progress of tunnel engineering theories and methods and the continuous development of scientific technology, people increasingly recognize the importance of digitalizing and informationizing engineering geological exploration, design and construction, and the digitalization and informationizing level of tunnel engineering construction must be continuously improved to realize the efficient and safe construction of tunnel engineering. In recent years, advanced information technologies such as BIM technologies have been favored, and many attempts have been made to manage, design, and construct units in accordance with different needs. However, most of the BIM application to the highway tunnel is limited in the design stage at present, and the BIM application has the defects of lack of unified standard of tunnel construction, insufficient project information contained in a model, low degree of localization of software and hardware and the like, and cannot play the application value of the BIM in the whole life cycle.
In summary, the research on the key technology of tunnel intelligent construction quality management, whether intelligent construction theory and safety control means, information processing and application methods, and the like are in the exploration stage, most of the existing attempts are sporadic achievements, and the systematicness is lacked. The key difficulties that lead to this situation are: the construction process of the tunnel engineering is a complex giant system, factors influencing the safety, the quality and the like of the system are extremely complex, and the system has high nonlinearity and randomness, the traditional linear mapping and deterministic theory or method often has technical defects of information islands, incomplete data and the like, and the difference of data acquisition means and the discreteness of precision cause that related achievements cannot realize integrated application and copy popularization. A theoretical method capable of solving fusion analysis of big data and multi-source heterogeneous information is urgently needed, and a comprehensive and complete tunnel construction overall-process data acquisition, transmission and reconstruction platform is supplemented, so that a new-generation tunnel intelligent construction theoretical system based on new-generation artificial intelligence in China is created.
Therefore, in view of the above problems, the present invention provides a method and a system for tunnel engineering automation monitoring and control based on the BIM technology.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a BIM technology-based tunnel engineering automatic monitoring control method and system, which solve the problems in the construction of the existing tunnel engineering.
The technical scheme is as follows: the invention provides a BIM technology-based tunnel engineering automatic monitoring control method, which comprises the following steps of step 1, determining key safety quality information objects of intelligent construction of an expressway tunnel, such as drilling parameters, surrounding rock geophysical prospecting information, concrete spraying operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, researching a data sensing method suitable for various construction equipment and measurement tools of intelligent construction of the tunnel, establishing a corresponding data standard, optimizing an acquisition and transmission mode of the characteristics of the existing environment of the tunnel engineering, constructing an identification, cleaning, coding and packaging rule base of the sensing data of the intelligent construction equipment of the tunnel, and finally establishing an intelligent construction key safety quality information sensing theory and method of the expressway tunnel; step 2, intelligently acquiring key construction information of tunnel construction, such as drilling parameters, surrounding rock geophysical prospecting information, concrete spraying operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, wherein the source and scale diversity exists, and through technologies such as reference matching, massive multi-source heterogeneous construction data organization and fusion methods in the tunnel construction process are provided, the relevance of massive information is researched, a deep learning iterative control algorithm is combined, a high-dimensional nonlinear mapping network between information data and tunnel construction safety quality is constructed, a space-time fusion artificial intelligence decision system for tunnel intelligent construction safety and quality control is constructed on the basis of space-time fusion tunnel construction information data and a large data mining technology and an expert decision system and the existing standard; and 3, establishing a system platform including modules such as a componentization system, data calculation, interface conversion, visual display and the like, wherein a communication data interface needs to research and develop a communication data exchange and interface protocol based on low-power-consumption wireless transmission, technical index parameters of the communication system are determined, a data support platform focuses on three-dimensional visual model construction such as geology and tunnel components and optimization of model bearing data and display control effects, and data release, sharing and collaborative management of all participants are realized through a BIM platform.
According to another aspect of the invention, the system comprises a BIM model, a deep learning module and a control standard module, wherein the processing method of the system comprises the following steps of 1, mining and collecting various data information of the expressway tunnel by using the BIM model, such as key data information of construction safety and quality, data type information, information of various kinds of construction equipment for intelligent construction and data information of measuring tools; step 2, establishing an intelligent construction key safety quality information data standard of the expressway tunnel according to the various data information collected in the step 1 and by combining the related user demand difference and a subsequent platform framework; step 3, deep learning, developing common work of application platform architecture design, model establishment and software development, and combining the current quality, a safety control system and the field construction progress to finish the application of the intelligent construction key safety quality information control platform; and 4, establishing a control standard, continuously acquiring key data information of tunnel intelligent construction safety and quality by combining construction progress, carrying out tunnel safety quality multi-source heterogeneous data fusion analysis and evaluation method research, and completing intelligent quality safety evaluation and computer-aided decision making functions.
According to the technical scheme, the tunnel engineering automatic monitoring and control system based on the BIM technology applies geomechanics, engineering mechanics theoretical methods, big data technology, Internet of things and BIM advanced information technology, adopts technical means of field test, theoretical analysis, numerical simulation and software development, and surrounds important quality and safety information of key links of advanced geological forecast, blasting, anchor rods, primary linings, arch frames and secondary linings in the construction process of the highway tunnel, so that intelligent acquisition, information Internet of things platform framework, construction big data perception and computer-aided decision technology design are completed.
Compared with the prior art, the automatic monitoring control method and system for the tunnel engineering based on the BIM technology have the advantages that: the method has the advantages that efficient and reliable collection of key quality information, efficient transmission of the Internet of things and visual management of quality safety in the tunnel construction process are achieved, tunnel construction safety and quality guarantee technologies based on big data are established according to a multi-source heterogeneous data fusion analysis and evaluation method of tunnel safety quality, efficient analysis and intelligent decision-making based on key engineering construction information data such as tunnel construction period geological conditions, surrounding rock deformation and lining quality are achieved, a set of systematic tunnel engineering intelligent construction quality management method is formed, tunnel construction efficiency is improved, safety quality control efficiency is improved, and basic theories and platform support are provided for overall development of the tunnel intelligent construction field in China.
Drawings
Fig. 1 is a schematic system structure diagram of a tunnel engineering automatic monitoring control method based on the BIM technology according to the present invention;
fig. 2 is a schematic flow structure diagram of a method and a system for tunnel engineering automatic monitoring and control based on the BIM technology according to the present invention.
Detailed Description
The invention is further elucidated with reference to the drawings and the embodiments.
The invention relates to a BIM technology-based tunnel engineering automatic monitoring control method, which comprises the following steps of 1, determining key safety quality information objects of intelligent construction of an expressway tunnel, such as drilling parameters, surrounding rock geophysical prospecting information, concrete spraying operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, researching a data sensing method suitable for intelligently constructing various construction equipment and measurement tools of the tunnel, establishing corresponding data standards, optimizing an acquisition and transmission mode of the occurrence environmental characteristics of tunnel engineering, constructing a recognition, cleaning, coding and packaging rule base of the sensing data of the intelligent construction equipment of the tunnel, and finally establishing an intelligent construction key safety quality information sensing theory and method of the expressway tunnel; step 2, intelligently acquiring key construction information of tunnel construction, such as drilling parameters, surrounding rock geophysical prospecting information, concrete spraying operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, wherein the source and scale diversity exists, and through technologies such as reference matching, massive multi-source heterogeneous construction data organization and fusion methods in the tunnel construction process are provided, the relevance of massive information is researched, a deep learning iterative control algorithm is combined, a high-dimensional nonlinear mapping network between information data and tunnel construction safety quality is constructed, a space-time fusion artificial intelligence decision system for tunnel intelligent construction safety and quality control is constructed on the basis of space-time fusion tunnel construction information data and a large data mining technology and an expert decision system and the existing standard; and 3, establishing a system platform including modules such as a componentization system, data calculation, interface conversion, visual display and the like, wherein a communication data interface needs to research and develop a communication data exchange and interface protocol based on low-power-consumption wireless transmission, technical index parameters of the communication system are determined, a data support platform focuses on three-dimensional visual model construction such as geology and tunnel components and optimization of model bearing data and display control effects, and data release, sharing and collaborative management of all participants are realized through a BIM platform.
As shown in fig. 1 and 2, a tunnel engineering automation monitoring and control system based on a BIM technology includes a BIM model, a deep learning module and a control standard module, wherein a processing method of the system includes the following steps of 1, mining and collecting various data information of a highway tunnel by using the BIM model, such as key data information of construction safety and quality, data type information, information of various kinds of construction equipment for intelligent construction, and data information of a measuring tool; step 2, establishing an intelligent construction key safety quality information data standard of the expressway tunnel according to the various data information collected in the step 1 and by combining the related user demand difference and a subsequent platform framework; step 3, deep learning, developing common work of application platform architecture design, model establishment and software development, and combining the current quality, a safety control system and the field construction progress to finish the application of the intelligent construction key safety quality information control platform; and 4, establishing a control standard, continuously acquiring key data information of tunnel intelligent construction safety and quality by combining construction progress, carrying out tunnel safety quality multi-source heterogeneous data fusion analysis and evaluation method research, and completing intelligent quality safety evaluation and computer-aided decision making functions.
The BIM technology-based tunnel engineering automatic monitoring control system provided by the invention applies geomechanics and engineering mechanics theoretical methods, a big data technology, an Internet of things and a BIM advanced information technology, adopts technical means of field test, theoretical analysis, numerical simulation and software development, and surrounds important quality and safety information of key links of advanced geological forecast, blasting, an anchor rod, a primary lining, an arch frame and a secondary lining in the construction process of a highway tunnel, so as to complete intelligent acquisition, information Internet of things platform framework, construction big data perception and computer-aided decision technology design.
Examples
The method is based on the Guiyang-Jinsha highway tunnel, and comprises the following steps of 1) firstly, transforming three sets of equipment, namely a tunnel shotcrete machine, an anchor rod grouting machine and a blast hole drilling machine, so as to automatically acquire parameters such as shotcrete volume, grouting pressure, grouting amount, drilling speed and the like; 2) secondly, developing and forming a set of tunnel intelligent construction quality safety key information control platform (a tunnel engineering automatic monitoring control system based on the BIM technology); 3) and finally, designing a construction parameter computer-aided decision method based on construction safety and quality and realizing engineering application by means of a control platform.
The foregoing is only a preferred embodiment of this invention and it should be noted that modifications can be made by those skilled in the art without departing from the principle of the invention and these modifications should also be considered as the protection scope of the invention.
Claims (3)
1. A tunnel engineering automatic monitoring control method based on BIM technology is characterized in that: comprises the following steps of (a) carrying out,
step 1, determining key safety quality information objects of intelligent construction of the expressway tunnel, such as drilling parameters, surrounding rock geophysical prospecting information, sprayed concrete operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, researching a data sensing method suitable for intelligently constructing various construction equipment and measuring tools of the tunnel, establishing a corresponding data standard, optimizing a collection and transmission mode of the occurrence environmental characteristics of tunnel engineering, constructing a recognition, cleaning, coding and packaging rule base of the sensing data of the intelligent construction equipment of the tunnel, and finally establishing a key safety quality information sensing theory and method of intelligent construction of the expressway tunnel;
step 2, intelligently acquiring key construction information of tunnel construction, such as drilling parameters, surrounding rock geophysical prospecting information, concrete spraying operation parameters, secondary lining trolley pouring parameters and monitoring measurement data, wherein the source and scale diversity exists, and through technologies such as reference matching, massive multi-source heterogeneous construction data organization and fusion methods in the tunnel construction process are provided, the relevance of massive information is researched, a deep learning iterative control algorithm is combined, a high-dimensional nonlinear mapping network between information data and tunnel construction safety quality is constructed, a space-time fusion artificial intelligence decision system for tunnel intelligent construction safety and quality control is constructed on the basis of space-time fusion tunnel construction information data and a large data mining technology and an expert decision system and the existing standard;
and 3, establishing a system platform including modules such as a componentization system, data calculation, interface conversion, visual display and the like, wherein a communication data interface needs to research and develop a communication data exchange and interface protocol based on low-power-consumption wireless transmission, technical index parameters of the communication system are determined, a data support platform focuses on three-dimensional visual model construction such as geology and tunnel components and optimization of model bearing data and display control effects, and data release, sharing and collaborative management of all participants are realized through a BIM platform.
2. The BIM technology-based tunnel engineering automation monitoring and control system of claim 1, characterized in that: the system comprises a BIM model, a deep learning module and a control standard module, wherein the processing method of the system comprises the following steps,
step 1, mining and collecting various data information of the highway tunnel by using a BIM (building information modeling) model, such as key data information and data type information for building safety and quality, information for intelligently building various construction equipment and data information of a measuring tool;
step 2, establishing an intelligent construction key safety quality information data standard of the expressway tunnel according to the various data information collected in the step 1 and by combining the related user demand difference and a subsequent platform framework;
step 3, deep learning, developing common work of application platform architecture design, model establishment and software development, and combining the current quality, a safety control system and the field construction progress to finish the application of the intelligent construction key safety quality information control platform;
and 4, establishing a control standard, continuously acquiring key data information of tunnel intelligent construction safety and quality by combining construction progress, carrying out tunnel safety quality multi-source heterogeneous data fusion analysis and evaluation method research, and completing intelligent quality safety evaluation and computer-aided decision making functions.
3. The BIM technology-based tunnel engineering automation monitoring and control system of claim 2, characterized in that: the BIM technology-based tunnel engineering automatic monitoring control system applies geomechanics and engineering mechanics theoretical methods, a big data technology, an Internet of things and a BIM advanced information technology, adopts technical means of field test, theoretical analysis, numerical simulation and software development, and surrounds important quality and safety information of key links of advanced geological forecast, blasting, anchor rods, primary linings, arch frames and secondary linings in the construction process of a highway tunnel, so as to complete intelligent acquisition, information Internet of things platform framework, construction big data perception and computer-aided decision technology design.
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| CN114626666A (en) * | 2021-12-11 | 2022-06-14 | 国网湖北省电力有限公司经济技术研究院 | Engineering field progress identification system based on full-time-space monitoring |
| CN114969888A (en) * | 2022-04-15 | 2022-08-30 | 山西省交通科技研发有限公司 | Highway tunnel multisource heterogeneous data fusion decision-making system based on BIM |
| CN115329443A (en) * | 2022-09-05 | 2022-11-11 | 中国地质大学（武汉） | BIM technology-based tunnel engineering stress analysis method and system |
| CN116906125A (en) * | 2023-09-06 | 2023-10-20 | 四川高速公路建设开发集团有限公司 | Soft rock tunnel safety monitoring method and system based on data synchronous transmission algorithm |
| CN116906125B (en) * | 2023-09-06 | 2023-12-29 | 四川高速公路建设开发集团有限公司 | Soft rock tunnel safety monitoring method and system based on data synchronous transmission algorithm |
| CN117627528A (en) * | 2024-01-25 | 2024-03-01 | 中建五局第三建设有限公司 | Construction device and construction method of jumbolter for deep foundation pit |
| CN117627528B (en) * | 2024-01-25 | 2024-05-03 | 中建五局第三建设有限公司 | Construction device and construction method of jumbolter for deep foundation pit |
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