Intelligent grouting construction process digital twin management and control system

Abstract

The invention discloses an intelligent grouting construction process digital twinborn management and control system which specifically comprises a three-dimensional dynamic visual model, a construction process data fusion module and a grouting construction twinborn management and control module, and the three-dimensional dynamic visual model is specifically a three-dimensional dynamic visual model of a grouting construction process. The high-precision digital model is a source and core technology for realizing digital twinning, the construction process data fusion module is used for fusing data in an intelligent grouting construction process, and the grouting construction twinning management and control module is used for integrating real-time monitoring data and engineering project information in the intelligent grouting construction process. According to the invention, a machine learning algorithm is used to establish a mutual relationship between data, real-time dynamic feedback of data information in the grouting process is realized, a practical basis is provided for management control in the grouting process, combination of a digital technology and a real construction process is realized, and grouting construction efficiency, quality, safety and project management level are significantly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of grouting construction management and control, and specifically to a digital twin management and control system for an intelligent grouting construction process. Background Art

[0002] The digital twin management and control system for the grouting construction process utilizes a "virtual twin model" to simulate, monitor, and control the actual grouting process. Through 3D modeling, sensor networks, big data analysis, and artificial intelligence, a digital model consistent with the actual construction site is constructed. Digital twin technology, which enables real-time monitoring and analysis by creating virtual copies of physical entities, has begun to play a role in many aspects of underground engineering. In the field of tunnel grouting, this means that digital twin models can be used to simulate and analyze groundwater flow, stratum structure, and the diffusion and solidification process of grouting materials to accurately predict and control disasters and sealing effects, optimize grouting plans, reduce grouting resource waste, and improve construction efficiency.

[0003] Currently, traditional grouting technology remains largely at the manual and mechanized level, making it difficult to significantly improve grouting quality. Regarding intelligent grouting, current intelligent grouting systems can only meet the intelligent requirements of the grouting process, but cannot fully intelligentize the entire grouting process. Consequently, pressure control and grouting distribution scheduling within the intelligent grouting control system remain limited to automation. Summary of the Invention

[0004] The present invention provides a digital twin control system for the intelligent grouting construction process, which can effectively solve the problem mentioned in the above background technology that the current traditional grouting technology mainly remains at the manual and mechanized level, making it difficult to significantly improve the grouting quality. In terms of intelligent grouting, the current intelligent grouting system can only meet the intelligentization of the grouting link, and cannot achieve full-process intelligence of the entire grouting construction process, resulting in the pressure control and slurry distribution scheduling of the intelligent grouting control system unable to reach the automation level.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent digital twin control system for grouting construction process, which realizes real-time monitoring of the entire grouting construction process based on a digital model of the physical grouting construction process. The system specifically includes a three-dimensional dynamic visualization model, a construction process data fusion module, and a grouting construction twin control module.

[0006] The three-dimensional dynamic visualization model is specifically a three-dimensional dynamic visualization model of the grouting construction process. This high-precision digital model is the source and core technology for realizing digital twins. The construction process data fusion module refers to the fusion processing of data in the intelligent grouting construction process. The grouting construction twin management and control module integrates real-time monitoring data and engineering project information in the intelligent grouting construction process.

[0007] According to the above technical solution, the three-dimensional dynamic visualization model is mainly based on the real-time monitoring system of the intelligent grouting construction process to obtain monitoring equipment information, and is combined with the virtual engine Unity3D to construct an intelligent grouting dynamic model of complex environment, design-construction-monitoring multi-dimensional activities. The established intelligent grouting dynamic model has the functions of model visualization, grouting hole position information map, geological condition visualization, grouting process visualization and geophysical exploration result visualization.

[0008] According to the above technical solution, during the specific establishment process of the three-dimensional dynamic visualization model, based on the data information obtained by the real-time monitoring system, a machine learning algorithm is used to clean the big data generated during the grouting process, intelligently detect various outliers in the time series data, and automatically perform data repair, thereby obtaining accurate and effective project feedback;

[0009] At the same time, machine learning algorithms are used to establish the relationship between data, deeply integrate the engineering physical properties of grouting depth and density with monitoring data, build a real-time three-dimensional visualization model, and realize real-time dynamic feedback of data information of the grouting process, providing a practical basis for management and control of the grouting process.

[0010] According to the above technical solution, the real-time monitoring system mainly arranges various monitoring sensors in each construction node of the grouting construction to collect key parameter information of each construction node during the grouting construction process;

[0011] Among them, the monitoring sensors specifically include pressure sensors, flow sensors, density sensors and temperature sensors;

[0012] The key parameter information monitored by the real-time monitoring system specifically includes grouting pressure information, grouting flow information, grouting density information and grouting temperature information during the grouting construction process. The monitoring parameter information collected by the monitoring sensor needs to be transmitted to the data processing center through the communication transmission module so that the monitoring parameter information can be transmitted stably, timely and accurately to avoid loss or delay of monitoring parameter information.

[0013] According to the above technical solution, after the real-time monitoring system obtains data information through real-time monitoring, it is necessary to build a data information database to store the real-time monitored data phenomena, and use data processing methods to pre-process and deeply analyze the data to extract valuable monitoring data information and provide data support for the construction of the digital twin model.

[0014] According to the above technical solution, the construction process data fusion module uses geographic information technology to form a "one-picture" engineering construction information data table through unified standards and specifications for various types of engineering construction business data, thereby realizing the visualization, traceability and information management of design and construction, and providing a spatial and temporal integrated engineering construction process management information platform for design, construction and supervision units;

[0015] In the process of integrating the data of the construction process, the intelligent management and control platform of the grouting project is constructed mainly based on the means of monitoring data and cloud analysis, combined with intelligent analysis methods. In this intelligent management and control platform, the grouting effect can be evaluated in real time, and the causes of grouting abnormalities can be analyzed, so as to provide reasonable and effective error correction measures and the next grouting plan, and realize real-time management and control of the intelligent grouting construction project.

[0016] According to the above technical solution, when the construction process data fusion module performs real-time management and control of the intelligent grouting construction project, the grouting entity needs to have the ability to perceive, access and integrate heterogeneous multi-source real-time data, and use a unified standardized protocol to upload the grouting real-time data to the virtual space and digital twin service system to realize the collection and fusion of multi-source and multi-modal data during the grouting process.

[0017] According to the above technical solution, the grouting construction twin control module builds a panoramic digital twin monitoring and control system for the grouting project based on real-time monitoring data and project information, realizing the multifunctional integration of monitoring, evaluation, control and interaction of the grouting process and subsequent operation and maintenance related activities;

[0018] Multi-point demonstrations were carried out during the grouting construction project. The demonstration areas shared the same digital modeling engine, data transmission protocol, and deep learning engine to ensure that intelligent grouting solutions could be shared during the project implementation process, thereby achieving continuous optimization of the overall system and providing a feedback platform for relevant staff.

[0019] According to the above technical solution, the twin control module of grouting construction can also build the basic framework of the intelligent grouting intelligent decision support system from three levels: data import layer, model driving layer and intelligent decision layer. Data is accessed from the edge gateway to provide data middle platform services during the intelligent grouting period.

[0020] Specifically, the model driving layer is further subdivided into method library and model library. The model library includes grouting engineering numerical simulation model, grouting engineering reliability analysis model and monitoring and early warning model;

[0021] Through artificial intelligence technology, grouting construction management and monitoring data are integrated to improve the coordination capabilities of all parties involved in the project construction, reduce communication costs, realize the informatization and refined management of grouting projects, and realize unified coordination and management across regions, departments, and different professionals, rapid response, information sharing, and leadership-assisted decision-making analysis.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. This invention uses an intelligent real-time grouting monitoring system to obtain monitoring equipment information, and combines it with a virtual engine to build an intelligent grouting dynamic model for complex environments and multi-dimensional activities such as design, construction, and monitoring. It has the functions of model visualization, grouting hole location information diagram, geological condition visualization, grouting process visualization, and geophysical exploration result visualization. It also uses machine learning algorithms to clean the big data generated during the grouting process, intelligently detect various outliers in time series data, and automatically perform data repair, thereby obtaining accurate and effective project feedback.

[0024] In addition, machine learning algorithms are used to establish relationships between data, facilitate the construction of real-time three-dimensional visualization models, and realize real-time dynamic feedback of data information during the grouting process, providing a practical basis for management and control of the grouting process, and realizing the combination of digital technology with the actual construction process, significantly improving the efficiency, quality, safety and project management level of grouting construction.

[0025] 2. By integrating real-time monitoring data and project information during the intelligent grouting construction process, it is convenient to accurately build a panoramic digital twin monitoring and control system for the grouting project, realize the grouting process and subsequent operation and maintenance related activities, and achieve continuous optimization of the overall system. At the same time, it provides a feedback platform for relevant staff and integrates grouting construction management with monitoring data. It can improve the coordination and operation capabilities of all parties involved in the project construction, realize the informatization and refined management of grouting projects, and realize unified coordination and management across regions, departments, and different professionals, rapid response, and information sharing. It has greatly promoted the improvement of project quality, intelligent grouting construction, the development of energy-saving and low-carbon technologies, and the improvement of grouting construction safety, and has great promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1It is a structural block diagram of the control system of the present invention. DETAILED DESCRIPTION

[0028] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0029] Example: Figure 1 As shown, the present invention provides a technical solution, a digital twin management and control system for an intelligent grouting construction process, which realizes real-time monitoring of the entire grouting construction process based on a digital model of the physical grouting construction process. The system specifically includes a three-dimensional dynamic visualization model, a construction process data fusion module, and a grouting construction twin management and control module.

[0030] The three-dimensional dynamic visualization model is specifically a three-dimensional dynamic visualization model of the grouting construction process. This high-precision digital model is the source and core technology for realizing digital twins. The construction process data fusion module refers to the fusion processing of data in the intelligent grouting construction process. The grouting construction twin management and control module integrates real-time monitoring data and engineering project information during the intelligent grouting construction process.

[0031] Based on the above technical solution, the three-dimensional dynamic visualization model mainly obtains monitoring equipment information based on the real-time monitoring system of the intelligent grouting construction process, and combines with the virtual engine Unity3D to construct an intelligent grouting dynamic model for complex environments and design-construction-monitoring multi-dimensional activities. The established intelligent grouting dynamic model has the functions of model visualization, grouting hole position information map, geological condition visualization, grouting process visualization and geophysical exploration result visualization.

[0032] Based on the above technical solution, during the specific construction process of the 3D dynamic visualization model, based on the data information obtained by the real-time monitoring system, machine learning algorithms are used to clean the big data generated during the grouting process, intelligently detect various outliers in the time series data, and automatically perform data repair, thereby obtaining accurate and effective project feedback.

[0033] At the same time, machine learning algorithms are used to establish the relationship between data, deeply integrate the engineering physical properties of grouting depth and density with monitoring data, build a real-time three-dimensional visualization model, and realize real-time dynamic feedback of data information of the grouting process, providing a practical basis for management and control of the grouting process.

[0034] Based on the above technical solution, the real-time monitoring system mainly arranges various monitoring sensors in each construction node of the grouting construction to collect key parameter information of each construction node during the grouting construction process;

[0035] Among them, the monitoring sensors specifically include pressure sensors, flow sensors, density sensors and temperature sensors;

[0036] The key parameter information monitored by the real-time monitoring system specifically includes grouting pressure information, grouting flow information, grouting density information and grouting temperature information during the grouting construction process. The monitoring parameter information collected by the monitoring sensor needs to be transmitted to the data processing center through the communication transmission module so that the monitoring parameter information can be transmitted stably, timely and accurately to avoid loss or delay of monitoring parameter information.

[0037] Based on the above technical solution, after the real-time monitoring system obtains data information through real-time monitoring, it needs to build a data information database to store the real-time monitoring data phenomena, and use data processing methods to pre-process and deeply analyze the data to extract valuable monitoring data information and provide data support for the construction of the digital twin model.

[0038] Based on the above technical solution, the construction process data fusion module uses geographic information technology to integrate various business data of engineering construction into a "one-picture" engineering construction information data table through unified standards and specifications, realizing the visualization, traceability and information management of design and construction, and providing a spatial and temporal integrated engineering construction process management information platform for design, construction and supervision units;

[0039] In the process of integrating the data of the construction process, the intelligent management and control platform of the grouting project is constructed mainly based on the means of monitoring data and cloud analysis, combined with intelligent analysis methods. In this intelligent management and control platform, the grouting effect can be evaluated in real time, and the causes of grouting abnormalities can be analyzed, so as to provide reasonable and effective error correction measures and the next grouting plan, and realize real-time management and control of the intelligent grouting construction project.

[0040] Based on the above technical solution, when the construction process data fusion module performs real-time management and control of the intelligent grouting construction project, it is required that the grouting entity has the ability to perceive, access and integrate heterogeneous multi-source real-time data. It adopts a unified standardized protocol to upload the real-time grouting data to the virtual space and digital twin service system, realizing the collection and integration of multi-source and multi-modal data during the grouting process.

[0041] Based on the above technical solution, the grouting construction twin control module builds a panoramic digital twin monitoring and control system for the grouting project based on real-time monitoring data and project information, realizing the multifunctional integration of monitoring, evaluation, control, and interaction of the grouting process and subsequent operation and maintenance related activities.

[0042] Multi-point demonstrations were carried out during the grouting construction project. The demonstration areas shared the same digital modeling engine, data transmission protocol, and deep learning engine to ensure that intelligent grouting solutions could be shared during the project implementation process, thereby achieving continuous optimization of the overall system and providing a feedback platform for relevant staff.

[0043] Based on the above technical solution, the twin control module of grouting construction can also build the basic framework of the intelligent grouting intelligent decision support system from three levels: data import layer, model driving layer and intelligent decision layer. Data is accessed from the edge gateway to provide data middle platform services during the intelligent grouting period.

[0044] Specifically, the model driving layer is further subdivided into method library and model library. The model library includes grouting engineering numerical simulation model, grouting engineering reliability analysis model and monitoring and early warning model;

[0045] Through artificial intelligence technology, grouting construction management and monitoring data are integrated to improve the coordination capabilities of all parties involved in the project construction, reduce communication costs, realize the informatization and refined management of grouting projects, and realize unified coordination and management across regions, departments, and different professionals, rapid response, information sharing, and leadership-assisted decision-making analysis.

[0046] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A digital twin management and control system for intelligent grouting construction process, characterized by: Based on the digital model of the physical grouting construction process, the entire grouting construction process is monitored in real time. Specifically, it includes a 3D dynamic visualization model, a construction process data fusion module, and a grouting construction twin control module. The three-dimensional dynamic visualization model is specifically a three-dimensional dynamic visualization model of the grouting construction process. This high-precision digital model is the source and core technology for realizing digital twins. The construction process data fusion module refers to the fusion processing of data in the intelligent grouting construction process. The grouting construction twin management and control module integrates real-time monitoring data and engineering project information in the intelligent grouting construction process.

2. The digital twin management and control system for the intelligent grouting construction process according to claim 1 is characterized by: The three-dimensional dynamic visualization model is mainly based on the real-time monitoring system of the intelligent grouting construction process to obtain monitoring equipment information, and is combined with the virtual engine Unity3D to construct an intelligent grouting dynamic model for complex environments and design-construction-monitoring multi-dimensional activities. The established intelligent grouting dynamic model has the functions of model visualization, grouting hole position information map, geological condition visualization, grouting process visualization and geophysical exploration result visualization.

3. The digital twin management and control system for the intelligent grouting construction process according to claim 2 is characterized by: During the specific establishment process of the three-dimensional dynamic visualization model, based on the data information obtained from the real-time monitoring system, a machine learning algorithm is used to clean the big data generated during the grouting process, intelligently detect various abnormal values ​​in the time series data, and automatically perform data repair, thereby obtaining accurate and effective project feedback; At the same time, machine learning algorithms are used to establish the relationship between data, deeply integrate the engineering physical properties of grouting depth and density with monitoring data, build a real-time three-dimensional visualization model, and realize real-time dynamic feedback of data information of the grouting process, providing a practical basis for management and control of the grouting process.

4. The digital twin management and control system for the intelligent grouting construction process according to claim 3 is characterized by: The real-time monitoring system mainly arranges various monitoring sensors in each construction node of the grouting construction to collect key parameter information of each construction node during the grouting construction process; Among them, the monitoring sensors specifically include pressure sensors, flow sensors, density sensors and temperature sensors; The key parameter information monitored by the real-time monitoring system specifically includes grouting pressure information, grouting flow information, grouting density information and grouting temperature information during the grouting construction process. The monitoring parameter information collected by the monitoring sensor needs to be transmitted to the data processing center through the communication transmission module so that the monitoring parameter information can be transmitted stably, timely and accurately.

5. The digital twin management and control system for the intelligent grouting construction process according to claim 3 is characterized by: After the real-time monitoring system obtains data information through real-time monitoring, it needs to build a data information database to store the real-time monitoring data, and use data processing methods to pre-process and deeply analyze the data to extract valuable monitoring data information to provide data support for the construction of the digital twin model.

6. The digital twin management and control system for the intelligent grouting construction process according to claim 1 is characterized by: The construction process data fusion module uses geographic information technology to integrate various business data of engineering construction into a "one-picture" engineering construction information data table through unified standards and specifications, realizing the visualization, traceability and information management of design and construction, and providing a spatial and temporal integrated engineering construction process management information platform for design, construction and supervision units; In the fusion of construction process data, an intelligent management and control platform for grouting projects is mainly constructed based on monitoring data, cloud computing and intelligent analysis methods. In this intelligent management and control platform, the grouting effect can be evaluated in real time, and the causes of grouting anomalies can be analyzed, thereby providing reasonable and effective error correction measures and the next grouting plan, and realizing real-time management and control of the intelligent grouting construction project.

7. The digital twin management and control system for the intelligent grouting construction process according to claim 6 is characterized by: When the construction process data fusion module performs real-time management and control of the intelligent grouting construction project, the grouting entity needs to have the ability to perceive, access and integrate heterogeneous multi-source real-time data. It adopts a unified standardized protocol to upload the real-time grouting data to the virtual space and digital twin service system, thereby realizing the collection and integration of multi-source and multi-modal data during the grouting process.

8. The digital twin management and control system for the intelligent grouting construction process according to claim 1 is characterized by: The grouting construction twin control module builds a panoramic digital twin monitoring and control system for the grouting project based on real-time monitoring data and project information, realizing the multifunctional integration of monitoring, evaluation, control and interaction of the grouting process and subsequent operation and maintenance related activities; Multi-point demonstrations were carried out during the grouting construction project. The demonstration areas shared the same digital modeling engine, data transmission protocol, and deep learning engine to ensure that intelligent grouting solutions could be shared during the project implementation process, thereby achieving continuous optimization of the overall system and providing a feedback platform for relevant staff.

9. The digital twin management and control system for the intelligent grouting construction process according to claim 8 is characterized by: The twin control module for grouting construction can also build the basic framework of the intelligent grouting decision support system from three levels: data import layer, model driving layer, and intelligent decision layer. Data is accessed from the edge gateway to provide data middle platform services during the intelligent grouting period. Specifically, the model driving layer is further subdivided into method library and model library. The model library includes grouting engineering numerical simulation model, grouting engineering reliability analysis model and monitoring and early warning model; Through artificial intelligence technology, grouting construction management and monitoring data are integrated to improve the coordination capabilities of all parties involved in the project construction, reduce communication costs, realize the informatization and refined management of grouting projects, and achieve unified coordination and management across regions, departments, and different professionals, rapid response, information sharing, and leadership-assisted decision-making analysis.

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