CN114241720A - Tunnel construction intelligent forecasting and early warning system and method based on digital twins - Google Patents
Tunnel construction intelligent forecasting and early warning system and method based on digital twins Download PDFInfo
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Abstract
The invention discloses a tunnel construction intelligent forecasting and early warning system and method based on digital twins, wherein the system comprises the following steps: the processing module is used for receiving and processing data information from each base station to obtain synchronous data; the database module is used for carding the synchronous data based on a digital twinning technology to obtain mirror image data; the comprehensive analysis module is used for outputting decision data according to the mirror image data; the display module is used for reflecting the mirror image data and the decision data in real time; and the early warning module is used for executing early warning operation according to the early warning instruction in the decision data. The method and the device are used for performing informationized interactive control on the tunnel construction site based on the digital twinning technology, and risks in the tunnel construction process are reduced.
Description
Technical Field
The invention relates to the field of tunnel construction, in particular to a tunnel construction intelligent forecasting and early warning system based on digital twins, an early warning decision management method, a storage medium and computer equipment.
Background
Under the influence of complex geological environment, it is extremely difficult to acquire accurate information data in the tunnel construction process. Moreover, constructors and equipment are in an intricate geological environment, uncertain and unknown factors are too many, and safety accidents in tunnel construction are frequent. Therefore, the informatization and intellectualization of the tunnel construction safety management are in the forefront. At present, with the rapid development of scientific technology, particularly the rapid development and wide application of computer technology, communication technology and network technology, the informatization technology level of the traditional tunnel engineering is rapidly improved. The main development trend is represented by the improvement of the digital, automatic, networked, intelligent and rapid decision-making level. However, there are still some problems in the research and application of the related art: firstly, due to the fact that tunnel construction information is various and complex in change, most of related researches only aim at single tunnel construction risk, and single index change can not provide judgment basis for decision makers; secondly, for complex working conditions and severe working environments, construction monitoring data are often not combined with corresponding emergency plans, and an early warning emergency response mechanism is lacked. Therefore, in order to improve the engineering management efficiency and avoid the construction safety risk, the invention is based on the digital twin technology and utilizes advanced automatic and intelligent early warning, safety management and post-disaster search and rescue measures. The tunnel construction informatization forecasting, early warning and decision management system is provided around the requirement of tunnel engineering construction, so that the scientificity and the safety of tunnel construction are guaranteed. The prior technical scheme is more directed to a single risk source, and lacks a corresponding emergency response scheme, personnel and construction equipment positioning, information synchronization and interactive control of a tunnel construction site, and lacks response to unconventional emergencies.
Disclosure of Invention
The invention provides an intelligent forecasting and early warning system and method for tunnel construction based on digital twins, which can perform information interactive control on a tunnel construction site based on a digital twins technology and reduce the risk in the tunnel construction process. The specific technical scheme is as follows.
According to an aspect of the present application, there is provided a digital twin-based intelligent early warning system for tunnel construction, comprising:
the processing module is used for receiving and processing data information from each base station to obtain synchronous data;
the database module is used for carding the synchronous data based on a digital twinning technology to obtain mirror image data;
the comprehensive analysis module is used for outputting decision data according to the mirror image data;
the display module is used for reflecting the mirror image data and the decision data in real time;
and the early warning module is used for executing early warning operation according to the early warning instruction in the decision data.
Further, the base station comprises a gateway base station, a signal base station, a node base station, a transmission base station, a collection base station, a laser base station and a forecast base station which are connected in sequence; and the gateway base station transmits data information to the processing module.
Further, the collecting base station is used for collecting the multivariate information and transmitting the collected data to the transmission base station;
wherein the collecting of the meta-information comprises: various types of information are collected through a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound collector, an image collector, a video collector and a short message collector.
Further, the database module further comprises:
the synchronous data are combed based on a digital twinning technology to obtain first mirror image data;
storing personnel equipment data, the acquired data, original tunnel design data, advanced geological forecast data, early warning alarm preset data, emergency plan data and historical processing data into the database module, and combing the data based on a digital twinning technology to obtain second mirror image data;
and outputting corresponding plan information according to the first mirror image data and the second mirror image data.
Further, the gateway base station is arranged in a network coverage area at a tunnel portal; the transmission base station and the acquisition base station are arranged in a signal coverage range in a tunnel hole.
Furthermore, the auxiliary sensors embedded at the tunnel measuring point position comprise at least one of a soil pressure cell, a pore pressure meter, a steel bar meter, a dust sensor, a smoke sensor, an air pressure sensor and an air speed sensor;
and erecting a laser profiler or a total station at a preset point of the tunnel face to monitor the stability.
Further, the system also includes an infrastructure data module, the infrastructure data module including: tunnel face stability data, tunnel support structure deformation data, human-environment interaction data and emergency plan and decision data; the database module constructs a tunnel investigation design unit, a real-time tunnel construction process unit and a tunnel forecast early warning unit based on a digital twin technology through the infrastructure data module to output the mirror image data; the comprehensive analysis module constructs the decision data output by a scientific point distribution unit, a measuring point attribute data unit and an early warning design unit through the basic architecture data module; the display module displays the mirrored data and the decision data in real-time by basing the infrastructure data module.
According to another aspect of the application, a digital twin-based intelligent forecasting and early warning method for tunnel construction is provided, which comprises the following steps:
receiving and processing data information from each base station to obtain synchronous data;
combing the synchronous data based on a digital twinning technology to obtain mirror image data;
outputting decision data according to the mirror image data;
and executing early warning operation according to the early warning instruction in the decision data, and reflecting the mirror image data and the decision data in real time.
According to another aspect of the present application, a storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the above-mentioned digital twin-based tunnel construction early warning decision management method.
According to another aspect of the application, a computer device includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, and the processor implements the above-mentioned digital twin-based tunnel construction early warning decision management method when executing the computer program.
In conclusion, the beneficial technical effects of the invention are as follows:
(1) a comprehensive management system for tunnel construction is formed by organically combining a gateway base station, a node base station, a transmission base station, a node base station, a signal base station and an acquisition base station with a series of different functional base stations. The device has the capability of widely expanding and accommodating other equipment, is very suitable for dealing with unconventional emergency of tunnel construction, and has wide application prospect in tunnel and underground engineering construction;
(2) the system can realize real-time acquisition, display, record and analysis of tunnel construction face images, monitoring of face stability and positioning management of workers and vehicles in a tunnel; the combination of the tunnel must-be-measured item and the section scanning technology is realized to predict the deformation and the overbreak and overbreak of the surrounding rock; and wireless data acquisition and comprehensive analysis of various sensors on the selected measured section are realized. Finally, a basis is provided for determining reasonable construction parameters, and safe driving and protecting navigation are performed for construction.
(3) The system digitally twins the high-risk tunnel and the underground engineering construction process to a network system, covers various data information in the investigation, design and construction of the tunnel, and realizes the informationized synchronization of the digital twin tunnel and the real tunnel construction. The construction of the dynamic digital twin tunnel of the network can carry out informationized interactive control on the construction site of the tunnel, thereby greatly expanding the intelligent system function of the tunnel construction and reducing the risk of the construction process.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic overall structure diagram of a digital twin-based intelligent forecasting and early warning system for tunnel construction provided by an embodiment of the application;
fig. 2 is a schematic diagram illustrating an overall structure of a digital twin-based intelligent forecasting and early warning system for tunnel construction according to another embodiment of the present application;
fig. 3 is a schematic diagram illustrating an overall structure of a digital twin-based intelligent forecasting and early warning system for tunnel construction according to still another embodiment of the present application;
fig. 4 shows a flow chart of the intelligent forecasting and early warning method for tunnel construction based on digital twins provided by the embodiment of the application.
Detailed Description
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
At present, in the traditional tunnel construction management, the system of a construction informatization system is incomplete, and the operability and the practicability are not strong. Although monitoring and measuring are necessary procedures of construction, data and decision instructions of the monitoring and measuring are often mutually split, tunnel design construction parameters cannot be timely adjusted according to field conditions, and dynamic design cannot be realized. Due to the fact that all-directional informatization of tunnel construction is insufficient, management personnel cannot control the tunnel construction site.
The intelligent forecasting, early warning and decision management system for the digital twin tunnel construction integrates a forecasting and early warning mechanism, an information system, an expert system and safety management into a whole by utilizing the advanced technologies of multi-industry, multivariate information, Internet of things, digital twin, intellectualization, cloud computing and the like, is based on digitization, takes informatization as a core and aims at intellectualization and protects the underground engineering construction with huge risk.
Aiming at the problems that in the tunnel construction process, complicated and unfavorable geologic body development paragraphs such as karst, fault fracture zones, soft rock deformation layers and the like cannot be avoided, geological disasters such as collapse, roof fall, water inrush and water burst are easily encountered, the adverse influence of geological conditions on the construction is reduced, the comprehensive information intelligent early warning and forecasting of tunnel construction is realized by using a modern technical means, and effective measures are taken to ensure the safety and the scientificity of the construction, so that the tunnel construction method is a major problem which needs to be solved urgently in the tunnel construction process. Therefore, the following scheme is proposed.
As shown in fig. 1, in some realizable embodiments provided by the present invention, there is provided a digital twin-based intelligent early warning system for tunnel construction, including:
the processing module is used for receiving and processing data information from each base station to obtain synchronous data;
the database module is used for carding the synchronous data based on a digital twinning technology to obtain mirror image data;
the comprehensive analysis module is used for outputting decision data according to the mirror image data;
the display module is used for reflecting the mirror image data and the decision data in real time;
and the early warning module is used for executing early warning operation according to the early warning instruction in the decision data.
In some realizable embodiments provided by the present invention, the base station includes a gateway base station, a signal base station, a node base station, a transmission base station, an acquisition base station, a laser base station, and a forecast base station, which are connected in sequence; and the gateway base station transmits data information to the processing module. Here, the processing module may receive and process data information from each base station and obtain synchronization data.
In some realizable embodiments provided by the present invention, the acquisition base station is used for acquisition of the multivariate information and transmission of the acquired data to the transmission base station;
wherein the collecting of the meta-information comprises: various types of information are collected through a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound collector, an image collector, a video collector and a short message collector. The security sensor, the environment sensor, the construction sensor, the auxiliary sensor, the sound collector, the image collector, the video collector and the short message collector can be transmitted to the gateway base station, the signal base station, the node base station, the transmission base station, the collection base station, the laser base station and the forecast base station, and transmitted to the processing module by the base stations.
In some implementations provided herein, the database module further includes:
the synchronous data are combed based on a digital twinning technology to obtain first mirror image data;
storing personnel equipment data, the acquired data, original tunnel design data, advanced geological forecast data, early warning alarm preset data, emergency plan data and historical processing data into the database module, and combing the data based on a digital twinning technology to obtain second mirror image data;
and outputting corresponding plan information according to the first mirror image data and the second mirror image data.
In some implementable embodiments provided by the present invention, the gateway base station is disposed in a network coverage area at a tunnel portal; the transmission base station and the acquisition base station are arranged in a signal coverage range in a tunnel hole.
In some realizable embodiments provided by the invention, the auxiliary sensors embedded at the tunnel measuring point position comprise at least one of a soil pressure cell, a pore pressure meter, a steel bar meter, a dust sensor, a smoke sensor, an air pressure sensor and an air speed sensor;
and erecting a laser profiler or a total station at a preset point of the tunnel face to monitor the stability.
In some implementations provided herein, the system further includes an infrastructure data module, the infrastructure data module including: tunnel face stability data, tunnel support structure deformation data, human-environment interaction data and emergency plan and decision data; the database module constructs a tunnel investigation design unit, a real-time tunnel construction process unit and a tunnel forecast early warning unit based on a digital twin technology through the infrastructure data module to output the mirror image data; the comprehensive analysis module constructs the decision data output by a scientific point distribution unit, a measuring point attribute data unit and an early warning design unit through the basic architecture data module; the display module displays the mirrored data and the decision data in real-time by basing the infrastructure data module.
In other embodiments of the present invention, an intelligent forecasting, early warning and decision management system for tunnel construction based on digital twin is provided, which includes: the system is composed of two parts of hardware and software. For example, the system frame structure is shown in FIG. 2.
For example, the hardware system structure is as shown in fig. 3, and the processing module outputs signals to the gateway base station and receives information from the gateway base station; the gateway base station is connected with a certain number of signal base stations, node base stations, master control base stations, transmission base stations and acquisition base stations to realize control and management of bottom layer terminal equipment.
Wherein: the signal base station mainly sends commands, sends alarm lights, commands in voice and prompts information;
the node base station is mainly responsible for man-machine positioning information management;
the transmission base station and the master control base station carry out uplink and downlink control of data and instructions;
the collecting base station is responsible for collecting and transmitting the multivariate information, and comprises the following steps: the system comprises a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound acquisition device, an image acquisition device, a video acquisition device, a short message acquisition device and the like;
the communication positioning information card is provided with a sensing module, a positioning module and a short message module.
The processing module processes the information to obtain synchronous data, the synchronous data are transmitted to a database module of the system to be processed to obtain mirror image data, and the comprehensive analysis module processes the mirror image data to obtain decision data.
The system software part is developed in a browser/server (B/S) mode, data processing is realized by using a dynamic webpage technology, and then the data processing is embodied on a display module. For example, the user only needs to have a browser and does not need other installation programs for the selected display module, and the purpose of cooperative work can be achieved by reading and writing information in the browser.
Firstly, logging in a system, and performing user management and system setting;
setting relevant hardware equipment of the system, such as a three-dimensional scanner, various sensors, construction management, sound image management and personnel positioning equipment;
the system stores sound and video information of personnel equipment and a base station collector, information of various sensors, tunnel general profiles, survey design data, advanced geological forecast, early warning alarm, emergency plans, historical processing data and the like into a system database module, embodies the functions of providing input information of the data by a server and realizing data viewing and visualization module by a display module, and also performs professional analysis on the data in a comprehensive analysis module by utilizing the historical processing data, provides an analysis result for the early warning module and realizes an early warning function. Here, the history processing data may be experience data that an expert has processed a case.
In other embodiments of the present invention, the system is comprised of two parts, software and hardware. The hardware part carries out operations such as automatic acquisition of monitoring data, process recording and analysis triggered by specific events, personnel positioning, tunnel section scanning and the like through a multifunctional acquisition device A, B type; transmitting the acquired data to a master control base station in a wireless/wired mode through a transmission base station, and transmitting the data to a master server by the master control base station; the processing module, the database module and the comprehensive analysis module of the main server process, analyze and feed back the acquired data, a user can access the digital twin tunnel of the main server through the Internet to timely master field information, and can interactively issue instructions and other operations through the display module to realize dynamic interactive management of engineering. The method is applied to monitoring measurement, data analysis, engineering management and the like during tunnel construction and operation, and intelligent safety monitoring and engineering management of the tunnel are realized.
In the application, tunnel construction is different from single advanced horizontal drilling, a seismic reflection method and advanced horizontal drill bit investigation construction are combined, seismic wave propagation characteristics and a detection principle are utilized, and advanced horizontal drilling is matched, so that surrounding rock information in advanced geological prediction is enriched, construction steps are saved, and investigation efficiency is improved; meanwhile, different from a conventional seismic reflection method, the method uses blasting or hammering as a seismic source, and utilizes seismic waves generated in the processes of rock breaking by a drill bit and vibration of a drill pipe, so that the while-drilling and the measurement of advanced horizontal drilling can be realized, the drilling and the geophysical prospecting are combined, and the accuracy of the prediction of the surrounding rock information is improved.
In other practical embodiments provided by the invention, the method can further comprise some implementation steps:
for example, hardware device installation includes:
the method comprises the following steps: arranging a gateway base station at a tunnel portal and in an area covered by a mobile network or an internet;
step two: the system is connected with a background server through a mobile network;
step three: arranging transmission base stations in the tunnel holes, wherein the distance between nodes should not exceed the signal coverage range (1 km) of the transmission base stations
Step four: installing an acquisition base station near the embedded sensor or the connected terminal equipment;
step five: embedding sensors including a soil pressure cell, a pore pressure meter, a steel bar meter, a dust sensor, a smoke sensor, air pressure, air speed and the like at a tunnel measuring point;
step six: erecting a laser section instrument or a total station instrument near the tunnel face of the tunnel to carry out stability monitoring;
step seven: the equipment layout density is increased in the key monitoring area of the tunnel so as to improve the coverage capability and the system reliability;
for example, the interaction of the system includes:
the method comprises the following steps: logging in a system, and performing user management and system setting;
step two: setting system related hardware equipment such as a three-dimensional scanner, various sensors, construction management, sound image management and personnel positioning equipment;
step three: storing sound and video information of personnel equipment and a base station collector, information of various sensors, tunnel general profiles, survey design data, advanced geological forecast, early warning alarm, emergency plans, historical processing data and the like into a system database module;
step four: the input of data provided by the server and the functions of data viewing and visualization are embodied through the display module;
step five: professional analysis is carried out on the data by utilizing the historical processing data of the comprehensive analysis module;
step six: and providing the analysis result to an early warning module to realize an early warning function.
In other realizable embodiments provided by the present invention, a comprehensive management system for tunnel construction is formed by an organic combination of a series of different functional base stations, namely, a gateway base station, a node base station, a transmission base station, a node base station, a signal base station, and an acquisition base station. The device has the capability of widely expanding and accommodating other equipment, is very suitable for dealing with unconventional emergency of tunnel construction, and has wide application prospect in tunnel and underground engineering construction. The system can realize real-time acquisition, display, record and analysis of tunnel construction face images, monitoring of face stability and positioning management of workers and vehicles in a tunnel; the combination of the tunnel must-be-measured item and the section scanning technology is realized to predict the deformation and the overbreak and overbreak of the surrounding rock; and wireless data acquisition and comprehensive analysis of various sensors on the selected measured section are realized. Finally, a basis is provided for determining reasonable construction parameters, and safe driving and protecting navigation are performed for construction. The system digitally twins the high-risk tunnel and the underground engineering construction process to a network system, covers various data information in the investigation, design and construction of the tunnel, and realizes the informationized synchronization of the digital twin tunnel and the real tunnel construction. The construction of the dynamic digital twin tunnel of the network can carry out informationized interactive control on the construction site of the tunnel, thereby greatly expanding the intelligent system function of the tunnel construction and reducing the risk of the construction process.
In other embodiments that may be realized by the present invention, a method for managing a digital twin-based tunnel construction early warning decision is provided, which includes:
receiving and processing data information from each base station to obtain synchronous data;
combing the synchronous data based on a digital twinning technology to obtain mirror image data;
outputting decision data according to the mirror image data;
and executing early warning operation according to the early warning instruction in the decision data, and reflecting the mirror image data and the decision data in real time.
In some realizable embodiments provided by the present invention, the base station includes a gateway base station, a signal base station, a node base station, a transmission base station, an acquisition base station, a laser base station, and a forecast base station, which are connected in sequence; the gateway base station transmits data information to the processing module and receives instructions to pass down and control.
In some realizable embodiments provided by the present invention, the acquisition base station is used for acquisition of the multivariate information and transmission of the acquired data to the transmission base station;
wherein the collecting of the meta-information comprises: various types of information are collected through a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound collector, an image collector, a video collector and a short message collector.
In some practical embodiments provided by the present invention, the combing the synchronous data based on the digital twinning technique to obtain the mirror image data further includes: the synchronous data are combed based on a digital twinning technology to obtain first mirror image data; storing personnel equipment data, the acquired data, original tunnel design data, advanced geological forecast data, early warning alarm preset data, emergency plan data and historical processing data into the database module, and combing the data based on a digital twinning technology to obtain second mirror image data; and outputting corresponding plan information according to the first mirror image data and the second mirror image data.
In some implementable embodiments provided by the present invention, the gateway base station is disposed in a network coverage area at a tunnel portal; the transmission base station and the acquisition base station are arranged in a signal coverage range in a tunnel hole.
In some realizable embodiments provided by the invention, the auxiliary sensors embedded at the tunnel measuring point position comprise at least one of a soil pressure cell, a pore pressure meter, a steel bar meter, a dust sensor, a smoke sensor, an air pressure sensor and an air speed sensor; and erecting a laser profiler or a total station at a preset point of the tunnel face to monitor the stability.
In some implementations provided herein, the system further includes an infrastructure data module, the infrastructure data module including: tunnel face stability data, tunnel support structure deformation data, human-environment interaction data and emergency plan and decision data; the database module constructs a tunnel investigation design unit, a real-time tunnel construction process unit and a tunnel forecast early warning unit based on a digital twin technology through the infrastructure data module to output the mirror image data; the comprehensive analysis module constructs the decision data output by a scientific point distribution unit, a measuring point attribute data unit and an early warning design unit through the basic architecture data module; the display module displays the mirrored data and the decision data in real-time by basing the infrastructure data module.
The invention discloses a tunnel construction intelligent forecasting, early warning and decision management system based on digital twins, and belongs to the field of tunnel construction safety management and Internet of things and Internet. The system is composed of two parts, namely hardware and software. The hardware system realizes the communication data transmission of the system by using the gateway base station. The gateway base station is connected with a certain number of signal base stations, node base stations, master control base stations, transmission base stations and acquisition base stations to realize control and management of bottom layer terminal equipment. Wherein: the signal base station mainly sends commands, sends alarm lights, commands in voice and prompts information; the node receiving station is mainly responsible for man-machine positioning information management; the transmission base station and the master control base station carry out uplink and downlink control of data and instructions; the collecting base station is responsible for collecting and transmitting the multivariate information, and comprises the following steps: the system comprises a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound acquisition device, an image acquisition device, a video acquisition device, a short message acquisition device and the like; the communication positioning information card is provided with a sensing module, a positioning module and a short message module. The software system development is based on a digital twin technology, adopts a browser/server (B/S) mode, and utilizes a dynamic webpage technology to realize data processing. Sound and video information of personnel equipment and a base station collector, information of various sensors, tunnel general profiles, survey design data, advanced geological forecast, early warning alarm, emergency plans and historical processing data are processed by a processing module and then stored in a system database module, the functions of providing data input by a server, checking the data and a visualization module are embodied by a display module, professional analysis is carried out on the data by using the historical processing data of a comprehensive analysis module, an analysis result is provided for the early warning module, and the early warning function is realized.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present application further provides a storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above-mentioned digital twin-based tunnel construction early warning decision management method shown in fig. 4.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
In an embodiment of the present invention, a computer device is provided, which includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, and is characterized in that when the processor executes the computer program, the processor implements any of the above-mentioned tunnel construction early warning decision management methods based on digital twinning.
Based on the method shown in fig. 1, in order to achieve the above object, an embodiment of the present application further provides a computer device, which may be specifically a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the above-mentioned digital twin-based tunnel construction early warning decision management method as shown in fig. 4.
Optionally, the computer device may also include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be appreciated by those skilled in the art that the present embodiment provides a computer device architecture that is not limiting of the computer device, and that may include more or fewer components, or some components in combination, or a different arrangement of components.
The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. The utility model provides a tunnel construction intelligent forecast early warning system based on digit twin which characterized in that includes:
the processing module is used for receiving and processing data information from each base station to obtain synchronous data;
the database module is used for carding the synchronous data based on a digital twinning technology to obtain mirror image data;
the comprehensive analysis module is used for outputting decision data according to the mirror image data;
the display module is used for reflecting the mirror image data and the decision data in real time;
and the early warning module is used for executing early warning operation according to the early warning instruction in the decision data.
2. The intelligent forecasting and early warning system for tunnel construction according to claim 1, wherein the base station comprises a gateway base station, a signal base station, a node base station, a transmission base station, a collection base station, a laser base station and a forecasting base station which are connected in sequence; and the gateway base station transmits data information to the processing module.
3. The intelligent forecasting and early warning system for tunnel construction according to claim 2, wherein the collecting base station is used for collecting multivariate information and transmitting collected data to the transmission base station;
wherein the collecting of the meta-information comprises: various types of information are collected through a safety sensor, an environment sensor, a construction sensor, an auxiliary sensor, a sound collector, an image collector, a video collector and a short message collector.
4. The intelligent forecasting and early warning system for tunnel construction according to claim 3, wherein the database module further comprises:
the synchronous data are combed based on a digital twinning technology to obtain first mirror image data;
storing personnel equipment data, the acquired data, original tunnel design data, advanced geological forecast data, early warning alarm preset data, emergency plan data and historical processing data into the database module, and combing the data based on a digital twinning technology to obtain second mirror image data;
and outputting corresponding plan information according to the first mirror image data and the second mirror image data.
5. The intelligent forecasting and early warning system for tunnel construction according to claim 3, wherein the gateway base station is arranged in a network coverage area at a tunnel portal; the transmission base station and the acquisition base station are arranged in a signal coverage range in a tunnel hole.
6. The intelligent forecasting and early warning system for tunnel construction according to claim 5, wherein the auxiliary sensors embedded at tunnel measuring points comprise at least one of a soil pressure cell, a pore pressure gauge, a reinforcing steel bar gauge, a dust sensor, a smoke sensor, an air pressure sensor and an air speed sensor;
and erecting a laser profiler or a total station at a preset point of the tunnel face to monitor the stability.
7. The intelligent forecasting and early warning system for tunnel construction according to claim 1, further comprising an infrastructure data module, wherein the infrastructure data module comprises: tunnel face stability data, tunnel support structure deformation data, human-environment interaction data and emergency plan and decision data; the database module constructs a tunnel investigation design unit, a real-time tunnel construction process unit and a tunnel forecast early warning unit based on a digital twin technology through the infrastructure data module to output the mirror image data; the comprehensive analysis module constructs the decision data output by a scientific point distribution unit, a measuring point attribute data unit and an early warning design unit through the basic architecture data module; the display module displays the mirrored data and the decision data in real-time by basing the infrastructure data module.
8. A tunnel construction intelligent forecasting and early warning method based on digital twins is characterized by comprising the following steps:
receiving and processing data information from each base station to obtain synchronous data;
combing the synchronous data based on a digital twinning technology to obtain mirror image data;
outputting decision data according to the mirror image data;
and executing early warning operation according to the early warning instruction in the decision data, and reflecting the mirror image data and the decision data in real time.
9. A storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the tunnel construction early warning decision management method of claim 8.
10. A computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the tunnel construction early warning decision management method of claim 8 when executing the computer program.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114548951A (en) * | 2022-04-22 | 2022-05-27 | 北京信义恒科技有限公司 | Power grid infrastructure ledger visualization system and method based on digital twinning technology |
| CN115130356A (en) * | 2022-09-01 | 2022-09-30 | 北京云庐科技有限公司 | Collapse monitoring system and method based on digital twin technology |
| CN115830805A (en) * | 2022-10-24 | 2023-03-21 | 武汉大学 | Highway slope monitoring and early warning system and equipment based on digital twin |
| CN116305498A (en) * | 2023-05-17 | 2023-06-23 | 深圳市城市交通规划设计研究中心股份有限公司 | Construction method and analysis method for tunnel digital twin modeling index judgment network model |
| CN116562656A (en) * | 2023-07-07 | 2023-08-08 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel construction geological disaster early warning and prevention and control intelligent decision method and auxiliary platform |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102900466A (en) * | 2011-07-25 | 2013-01-30 | 中铁二十一局集团有限公司 | System and method for tunnel construction safety early warning based on three-dimensional digital tunnel platform |
| CN108460838A (en) * | 2018-03-02 | 2018-08-28 | 中国地质大学（武汉） | The implementation method and system that three-dimensional visualization technique is merged with numerical simulation technology |
| CN109819233A (en) * | 2019-01-21 | 2019-05-28 | 哈工大机器人（合肥）国际创新研究院 | A kind of digital twinned system based on virtual image technology |
| CN111046597A (en) * | 2020-01-20 | 2020-04-21 | 兰州理工大学 | Digital twin three-dimensional model based 3D printer modeling method and model system |
| CN111143922A (en) * | 2019-12-16 | 2020-05-12 | 中国建筑第八工程局有限公司 | Multi-platform structure stratum digital twin modeling method and system |
| CN111239813A (en) * | 2020-01-17 | 2020-06-05 | 石家庄铁道大学 | Seismic wave advanced prediction detection method for tunnel water-containing geological structure |
| CN112184007A (en) * | 2020-09-27 | 2021-01-05 | 浙江工业大学 | Workshop equipment remote diagnosis method based on digital twins |
| CN112347548A (en) * | 2020-12-03 | 2021-02-09 | 中铁第四勘察设计院集团有限公司 | Method and system for realizing tunnel digital display based on BIM and 3DGIS technical system |
| CN112637276A (en) * | 2020-12-08 | 2021-04-09 | 电子科技大学 | Multi-user computing migration method based on digital twin technology |
| CN113538863A (en) * | 2021-04-13 | 2021-10-22 | 交通运输部科学研究院 | Tunnel digital twin scene construction method and computer equipment |
-
2021
- 2021-12-24 CN CN202111597044.3A patent/CN114241720A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102900466A (en) * | 2011-07-25 | 2013-01-30 | 中铁二十一局集团有限公司 | System and method for tunnel construction safety early warning based on three-dimensional digital tunnel platform |
| CN108460838A (en) * | 2018-03-02 | 2018-08-28 | 中国地质大学（武汉） | The implementation method and system that three-dimensional visualization technique is merged with numerical simulation technology |
| CN109819233A (en) * | 2019-01-21 | 2019-05-28 | 哈工大机器人（合肥）国际创新研究院 | A kind of digital twinned system based on virtual image technology |
| CN111143922A (en) * | 2019-12-16 | 2020-05-12 | 中国建筑第八工程局有限公司 | Multi-platform structure stratum digital twin modeling method and system |
| CN111239813A (en) * | 2020-01-17 | 2020-06-05 | 石家庄铁道大学 | Seismic wave advanced prediction detection method for tunnel water-containing geological structure |
| CN111046597A (en) * | 2020-01-20 | 2020-04-21 | 兰州理工大学 | Digital twin three-dimensional model based 3D printer modeling method and model system |
| CN112184007A (en) * | 2020-09-27 | 2021-01-05 | 浙江工业大学 | Workshop equipment remote diagnosis method based on digital twins |
| CN112347548A (en) * | 2020-12-03 | 2021-02-09 | 中铁第四勘察设计院集团有限公司 | Method and system for realizing tunnel digital display based on BIM and 3DGIS technical system |
| CN112637276A (en) * | 2020-12-08 | 2021-04-09 | 电子科技大学 | Multi-user computing migration method based on digital twin technology |
| CN113538863A (en) * | 2021-04-13 | 2021-10-22 | 交通运输部科学研究院 | Tunnel digital twin scene construction method and computer equipment |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114548951A (en) * | 2022-04-22 | 2022-05-27 | 北京信义恒科技有限公司 | Power grid infrastructure ledger visualization system and method based on digital twinning technology |
| CN115130356A (en) * | 2022-09-01 | 2022-09-30 | 北京云庐科技有限公司 | Collapse monitoring system and method based on digital twin technology |
| CN115830805A (en) * | 2022-10-24 | 2023-03-21 | 武汉大学 | Highway slope monitoring and early warning system and equipment based on digital twin |
| CN116305498A (en) * | 2023-05-17 | 2023-06-23 | 深圳市城市交通规划设计研究中心股份有限公司 | Construction method and analysis method for tunnel digital twin modeling index judgment network model |
| CN116305498B (en) * | 2023-05-17 | 2023-10-20 | 深圳市城市交通规划设计研究中心股份有限公司 | Construction method and analysis method for tunnel digital twin modeling index judgment network model |
| CN116562656A (en) * | 2023-07-07 | 2023-08-08 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel construction geological disaster early warning and prevention and control intelligent decision method and auxiliary platform |
| CN116562656B (en) * | 2023-07-07 | 2023-11-03 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel construction geological disaster early warning and prevention and control intelligent decision method and auxiliary platform |
| CN117514352A (en) * | 2023-11-17 | 2024-02-06 | 湖南科技大学 | Colliery water damage early warning system based on video identification |
| CN117514352B (en) * | 2023-11-17 | 2024-05-07 | 湖南科技大学 | Colliery water damage early warning system based on video identification |
| CN117549304A (en) * | 2023-12-06 | 2024-02-13 | 中交三公局第六工程(河北)有限公司 | Digital twinning-based robot tunnel blasting pre-detection control method and system |
| CN117549304B (en) * | 2023-12-06 | 2024-05-07 | 中交三公局第六工程(河北)有限公司 | Digital twinning-based robot tunnel blasting pre-detection control method and system |
| CN117892535A (en) * | 2024-01-19 | 2024-04-16 | 国网上海市电力公司 | Digital twin interactive design method and system for power transmission and transformation project |
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