CN115601008A - Engineering settlement deformation monitoring system and method based on digital twinning - Google Patents
Engineering settlement deformation monitoring system and method based on digital twinning Download PDFInfo
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Abstract
The invention relates to the technical field of automatic bridge settlement detection equipment, in particular to a digital twinning-based engineering settlement deformation monitoring system and a digital twinning-based engineering settlement deformation monitoring method, wherein the system comprises a bridge settlement parameter detection platform and a server, and the bridge settlement parameter detection platform comprises a settlement parameter detection sensor and a data collection control terminal; the server comprises the following modules: BIM model construction module: the system comprises a three-dimensional scanning point cloud data acquisition module, a BIM (building information modeling) twin digital model acquisition module and a bridge structure, wherein the three-dimensional scanning point cloud data acquisition module is used for acquiring the appearance visual direction of the bridge structure and constructing the BIM twin digital model of the bridge structure; a settlement prediction analysis module: the bridge settlement prediction analysis model is used for importing the obtained settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure; visual early warning analysis module: and the method is used for visually displaying the sedimentation analysis result according to the BIM twin digital model. The invention can perform visual display analysis on the settlement of the bridge structure and timely make early warning prompt.
Description
Technical Field
The invention relates to the technical field of automatic bridge settlement detection equipment, in particular to a digital twinning-based engineering settlement deformation monitoring system and method.
Background
With the development of the traffic industry, the bridge plays an increasingly important role as a junction of road traffic. However, with the increase of service life and the interference of external parameters, such as hydrology and climate, earth crust activity, uneven roadbed filling, unreasonable setting of the butt strap and the like, the roadbed of the road bridge can be settled, and the roadbed can crack and deform the road surface, so that the bridge is damaged to different degrees to cause potential safety hazards. In order to ensure the safe operation of the bridge, the in-service bridge needs to be regularly monitored for settlement, and reasonable analysis, prediction and early warning are made according to the long-term bridge detection result.
Disclosure of Invention
One of the purposes of the invention is to provide a digital twin-based engineering settlement deformation monitoring system which can perform visual display analysis on settlement of a bridge structure and timely give early warning prompts.
In order to achieve the aim, the engineering settlement deformation monitoring system based on the digital twin comprises a bridge settlement parameter detection platform based on a wireless sensor network and a server, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors arranged at detection nodes and a data collection control terminal, and the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors to the server; the server comprises the following modules:
BIM model construction module: the system comprises a BIM (building information modeling) twin digital model, a three-dimensional scanning point cloud data acquisition unit and a three-dimensional scanning point cloud data acquisition unit, wherein the three-dimensional scanning point cloud data acquisition unit is used for acquiring the appearance visual direction of the bridge structure, constructing the BIM twin digital model of the bridge structure and marking the position data of each detection node on the BIM twin digital model;
a settlement prediction analysis module: the bridge settlement prediction analysis model is used for importing the obtained settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure;
visual early warning analysis module: the early warning system is used for carrying out settlement grade analysis according to the position data and the settlement analysis result data of each detection node and generating corresponding early warning prompt information according to the settlement grade analysis result; and the system is also used for linking the corresponding settlement analysis result data, settlement grade and early warning prompt information labels to the BIM twin digital model for visual display according to the position data of each detection node.
The principle and the advantages are as follows:
1. the setting of the bridge settlement parameter detection platform can collect the settlement parameters of all detection nodes on the bridge structure in real time and collect the settlement parameters to the data collection control terminal, and the data collection control terminal sends the settlement parameters to the server for detailed analysis, so that the specific settlement condition of the bridge structure can be conveniently known.
The setting of BIM model construction module can be according to the three-dimensional scanning point cloud data of bridge structures outward appearance look direction, and the BIM twin digital model of bridge structures is reverse to be constructed, can conveniently look over the concrete structure and the operating mode of analysis bridge structures through BIM twin digital model and follow to conveniently play the basis for subsequent visual analysis of subsiding.
3. And the settlement prediction analysis module and the visual early warning analysis module are arranged, and the settlement prediction analysis module can lead settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure. And the visual early warning analysis module is used for carrying out settlement grade analysis according to the position data and the settlement analysis result data of each detection node and generating corresponding early warning prompt information according to the settlement grade analysis result. And simultaneously, corresponding settlement analysis result data, settlement grade and early warning prompt information labeling are linked to the BIM twin digital model for visual display according to the position data of each detection node. The concrete settlement position and relevant parameters of the bridge structure and the early warning prompt made by the system can be conveniently checked by the staff in the BIM twin digital model, so that the staff can conveniently take measures to intervene in time, and the safety of the bridge structure is guaranteed.
Further, still including setting up the environmental information monitoring sensor on bridge structures, environmental information monitoring sensor is connected with data collection control terminal electricity, the server still includes following module:
a sedimentation analysis module: the system is used for analyzing the climate condition of the position where the bridge structure is located according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment.
Has the advantages that: the settlement analysis module can analyze the climate condition of the position where the bridge structure is located according to the historical environment information, and analyze settlement analysis results of settlement caused by environmental factors such as vortex vibration and flutter of wind, rainfall factors and influences of underground water on soil and the like on each detection point by combining the climate condition and the historical environment, so that workers can know the influences of the climate condition and the historical environment on the settlement of the bridge structure conveniently. Therefore, the inspection personnel can conveniently arrange time and organize the inspection personnel to inspect the bridge structure, and the safety of the bridge structure is ensured.
Further, the server further comprises the following modules:
a data acquisition module: the system is used for collecting road data information on the bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of the road and the bridge;
a sedimentation analysis module: and the method is also used for analyzing the settlement analysis result of the settlement of each detection point caused by the vehicle factors according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and bridge.
Has the advantages that: when passing through the road surface of a road and a bridge, vehicles running at a high speed may cause the bridge to generate certain vibration, and if the vehicles pass through the road and the bridge is built for a long time, the bridge will cause certain problems of abrasion, settlement and the like. Through the analysis of the settlement analysis module, the obtained settlement analysis result is convenient for the staff to arrange time and organize the inspection personnel to inspect the bridge structure so as to ensure the safety of the bridge structure. And the bridge structure is not uniformly settled, so that the phenomenon of vehicle jumping at the bridge head is caused, the vehicles are damaged, and even the traffic safety problem can be caused in serious cases.
Further, the server further comprises the following modules:
a safety coefficient analysis module: the method is used for analyzing the vibration frequency data, the vibration threshold interval and the traffic flow threshold interval, performing weight distribution on the vibration threshold interval, the flow threshold interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and then comprehensively analyzing and calculating the safety coefficient of the bridge structure.
Has the advantages that: the safety factor analysis module is arranged, so that the safety factor of the bridge structure can be comprehensively analyzed and calculated, and workers can know the safety condition of the bridge structure conveniently, so that the workers can intervene in time by taking measures, and the safety of the bridge structure is guaranteed.
Further, the server further comprises the following modules:
a settlement early warning management module: the bridge structure early warning system is used for carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value.
Has the advantages that: the settlement amount early warning management module can generate warning prompt information when settlement deformation amount or safety factor reach a set warning threshold value, and workers can conveniently know the safety condition of the bridge structure, so that the workers arrange time and organize patrol and examine personnel to patrol and examine the bridge structure, and safety of the bridge structure is guaranteed.
The invention also aims to provide a digital twin-based engineering settlement deformation monitoring method, which comprises the following steps of:
a platform building step: the method comprises the steps that a bridge settlement parameter detection platform and a server based on a wireless sensor network are built, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors arranged at detection nodes and a data collection control terminal, and the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors to the server;
building a BIM model: acquiring three-dimensional scanning point cloud data of the appearance visual direction of the bridge structure, constructing a BIM (building information modeling) twin digital model of the bridge structure, and marking position data of each detection node on the BIM twin digital model;
and (3) sedimentation prediction analysis: importing the obtained settlement parameters into a bridge settlement prediction analysis model preset by a server in the server to obtain settlement analysis result data of each detection point of the bridge structure;
visual early warning analysis step: performing settlement grade analysis in the server according to the position data and the settlement analysis result data of each detection node, and generating corresponding early warning prompt information according to the settlement grade analysis result; and then, according to the position data of each detection node, corresponding settlement analysis result data, settlement grade and early warning prompt information labeling are linked to the BIM twin digital model for visual display.
The principle and the advantages are as follows:
1. the setting of step is built to the platform, can subside the parameter detection platform through the bridge based on wireless sensor network and gather the parameter of subsiding of each detection node on the bridge structures in real time to the parameter of subsiding gathers data collection control terminal, will subside the parameter by data collection control terminal again and send out the server and carry out detailed analysis, thereby conveniently knows the concrete condition of subsiding of bridge structures.
And 2, the BIM model construction step is arranged, a BIM twin digital model of the bridge structure can be reversely constructed according to the three-dimensional scanning point cloud data of the appearance visual direction of the bridge structure, and the concrete structure and working condition of the bridge structure can be conveniently checked and analyzed through the BIM twin digital model, so that a foundation is conveniently laid for subsequent sedimentation visualization analysis.
3. And (4) setting a settlement prediction analysis step and a visual early warning analysis step, wherein the settlement prediction analysis module can lead settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure. And the visual early warning analysis module is used for carrying out settlement grade analysis according to the position data and the settlement analysis result data of each detection node and generating corresponding early warning prompt information according to the settlement grade analysis result. And simultaneously, corresponding settlement analysis result data, settlement grade and early warning prompt information labeling are linked to the BIM twin digital model for visual display according to the position data of each detection node. The concrete settlement position and relevant parameters of the bridge structure and the early warning prompt made by the system can be conveniently checked by the staff in the BIM twin digital model, so that the staff can conveniently take measures to intervene in time, and the safety of the bridge structure is guaranteed. And the bridge structure is not uniformly settled, so that the phenomenon of vehicle jumping at the bridge head is caused, the vehicle is damaged, and even the traffic safety problem is caused in serious cases. The safety accidents can be avoided by timely detecting and early warning.
Further, the method also comprises the following steps:
a platform building step: an environment information monitoring sensor is also required to be arranged on the bridge structure, and comprises a wind speed sensor, a rainfall sensor, a temperature sensor, a soil humidity sensor and an underground water level sensor;
and (3) settling analysis: analyzing the climate condition of the position of the bridge structure according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment.
Has the beneficial effects that: the settlement analysis step can analyze the climate condition of the position where the bridge structure is located according to the historical environment information, and analyze the settlement analysis result of settlement caused by environmental factors such as vortex vibration and flutter of wind, rainfall factors and influences of underground water on soil and the like on each detection point by combining the climate condition and the historical environment, so that workers can conveniently know the influences of the climate condition and the historical environment on the settlement of the bridge structure. Therefore, the inspection personnel can conveniently arrange time and organize the inspection personnel to inspect the bridge structure, and the safety of the bridge structure is ensured.
Further, the method also comprises the following steps:
a data acquisition step: acquiring road data information on a bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of a road and a bridge;
and (3) settling analysis: and analyzing a settlement analysis result of settlement caused by the vehicle factors to each detection point according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and the bridge.
Has the beneficial effects that: when passing through the road surface of a road and a bridge, vehicles running at a high speed may cause the bridge to generate certain vibration, and if the vehicles pass through the road and the bridge is built for a long time, the bridge will cause certain problems of abrasion, settlement and the like. Through the analysis of the settlement analysis step, the staff can arrange time and organize patrol and examine personnel to patrol and examine the bridge structure conveniently, so that the safety of the bridge structure is ensured.
Further, the method also comprises the following steps:
and (3) safety coefficient analysis step: analyzing the vibration frequency data, the vibration threshold interval and the traffic flow threshold interval, performing weight distribution on the vibration threshold interval, the flow threshold interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and then comprehensively analyzing and calculating the safety coefficient of the bridge structure.
Has the beneficial effects that: the safety coefficient of the bridge structure can be comprehensively analyzed and calculated by setting the safety coefficient analysis steps, and workers can conveniently know the safety condition of the bridge structure, so that the workers can conveniently take measures to intervene in time, and the safety of the bridge structure is guaranteed.
Further, the method also comprises the following steps:
a settlement early warning management step: and carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value.
Has the advantages that: the settlement early warning management step can generate warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value, so that the safety condition of the bridge structure can be known by workers, the workers can arrange time and organize patrol and examine personnel to patrol and examine the bridge structure, and the safety of the bridge structure is guaranteed.
Drawings
Fig. 1 is a logic block diagram of an engineering settlement deformation monitoring system based on digital twinning according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
A digital twin-based engineering settlement deformation monitoring system is basically shown in figure 1 and comprises a bridge settlement parameter detection platform and a server based on a wireless sensor network, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors, environmental information monitoring sensors and a data collection control terminal which are arranged at all detection nodes, the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors and environmental information of the environmental information monitoring sensors to the server, and the system is essentially a computer. The environment information monitoring sensor comprises a wind speed sensor, a rainfall sensor, a temperature sensor, a soil humidity sensor, a vibration sensor, an underground water level sensor and the like; each detection node is composed of a sensor group (comprising any one or a plurality of combinations of the sensors, and specifically can be selected according to the detection node), a single chip microcomputer and a wireless communication module, wherein the sensor group is responsible for detecting bridge settlement, translation, deflection and inclination angle bridge deformation parameters, the single chip microcomputer controls sampling intervals and sends the sampling intervals to a data collection control terminal through the wireless communication module, the data collection control terminal sends the sampling intervals to a server, or receives a data collection control instruction of the server and sends the data collection control instruction to the single chip microcomputer of each detection node, and therefore targeted data collection is carried out according to requirements. The server comprises the following modules:
a BIM model construction module: the system comprises a BIM (building information modeling) model, a data acquisition module and a data processing module, wherein the BIM model is used for acquiring three-dimensional scanning point cloud data of the appearance visual direction of a bridge structure, constructing a BIM (building information modeling) twin digital model of the bridge structure and marking position data of each detection node on the BIM twin digital model; in the embodiment, the unmanned aerial vehicle is adopted to acquire the three-dimensional scanning point cloud data, three-dimensional fine unmanned aerial vehicle route planning is performed through an unmanned aerial vehicle three-dimensional route generation algorithm, a route automatic flight task is generated, and the use range and the efficiency of the unmanned aerial vehicle are greatly improved. And the unmanned aerial vehicle can not reach the place, also need not to adopt optics camera of zooming to take a picture to supply. Taking the sub-karst Brack bridge as an example, the data acquisition only takes 1 hour, and the accurate positioning and quantification of the appearance full coverage and appearance problems of the bridge are realized. Meanwhile, a very valuable initial model is provided for operation and maintenance, and technical support is provided for bridge safety inspection and settlement analysis of the operation and maintenance.
A settlement prediction analysis module: the bridge settlement prediction analysis model is used for importing the obtained settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure; in this embodiment, the bridge settlement prediction analysis model adopts an existing well-developed neural network model, the relationship between each influence factor and settlement is implicitly expressed by the neural network, and the existing settlement observation data is used to train the network by establishing a BP network model reflecting the mapping relationship between the subgrade settlement influence factor and the subgrade settlement amount, so that the network learns and memorizes the settlement rule. During prediction, the settlement at this time is deduced from known external influencing factors. The precondition for this method is that influencing factors can be found and these are measurable.
Visual early warning analysis module: the early warning system is used for carrying out settlement grade analysis according to the position data and the settlement analysis result data of each detection node and generating corresponding early warning prompt information according to the settlement grade analysis result; and the system is also used for linking the corresponding settlement analysis result data, settlement grade and early warning prompt information labels to the BIM twin digital model for visual display according to the position data of each detection node.
A data acquisition module: the system is used for collecting road data information and environment information on a bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of a road and a bridge, the traffic flow is collected through conventional image collection and image recognition technologies, for example, cameras are respectively arranged at a bridge head and a bridge tail, the cameras acquire vehicle images, and then the traffic flow is calculated through the existing image recognition algorithm. The environment information comprises wind speed information, rainfall information, air temperature information, soil temperature information (frozen soil layer), soil humidity information, road vibration information and underground water level information (or ground surface water level information); the position of the bridge is generally higher in underground water level, the natural water content of the foundation soil is large, the void ratio is large, the shear strength is low, and the bridge is easy to sink under the long-term action of vehicle load.
A sedimentation analysis module: the system is used for analyzing the climate condition of the position where the bridge structure is located according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment. The settlement analysis module can analyze the climate condition of the position where the bridge structure is located according to the historical environment information, and can analyze settlement analysis results of settlement caused by environmental factors such as vortex vibration and flutter of wind, rainfall factors and influences of underground water on soil and the like on each detection point by combining the climate condition and the historical environment, and workers can conveniently know the influences of the climate condition and the historical environment on the settlement of the bridge structure through the settlement analysis results. And the settlement analysis result of settlement caused by the vehicle factors to each detection point is analyzed according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and the bridge. When passing through the road surface of a road and a bridge, vehicles running at a high speed may cause the bridge to generate certain vibration, and if the vehicles pass through the road and the bridge is built for a long time, the bridge will cause certain problems of abrasion, settlement and the like. Through the analysis of the settlement analysis module, the obtained settlement analysis result is convenient for the staff to arrange time and organize the inspection personnel to inspect the bridge structure so as to ensure the safety of the bridge structure.
A safety coefficient analysis module: the method is used for analyzing the vibration frequency data, the vibration threshold value interval and the traffic flow threshold value interval, performing weight distribution on the vibration threshold value interval, the flow threshold value interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and comprehensively analyzing and calculating the safety coefficient of the bridge structure. In this embodiment, each of the divided regions of the vibration threshold interval and the flow threshold interval corresponds to a coefficient value, the safety degree of the road and bridge is subjected to weight distribution according to the vibration threshold interval coefficient T, the flow threshold interval coefficient Y and the sedimentation deformation coefficient U, the safety degree is sequentially distributed to preset values A, B and C, a + B + C =1, and the safety factor of the road and bridge in the first time period is obtained according to a formula I = T a + Y B + U C. The safety coefficient analysis module can comprehensively analyze and calculate the safety coefficient of the bridge structure, and is convenient for workers to know the safety condition of the bridge structure, so that the workers can intervene by taking measures in time, and the safety of the bridge structure is guaranteed.
A settlement early warning management module: the bridge structure early warning system is used for carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value. The settlement amount early warning management module can generate warning prompt information when settlement deformation amount or safety factor reach a set warning threshold value, and workers can conveniently know the safety condition of the bridge structure, so that the workers arrange time and organize patrol and examine personnel to patrol and examine the bridge structure, and safety of the bridge structure is guaranteed. And the bridge structure is not uniformly settled, so that the phenomenon of vehicle jumping at the bridge head is caused, the vehicle is damaged, and even the traffic safety problem is caused in serious cases.
A digital twin-based engineering settlement deformation monitoring method comprises the following steps:
a platform building step: the method comprises the steps that a bridge settlement parameter detection platform and a server based on a wireless sensor network are built, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors arranged at detection nodes and a data collection control terminal, and the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors to the server;
building a BIM model: acquiring three-dimensional scanning point cloud data of the appearance visual direction of the bridge structure, constructing a BIM (building information modeling) twin digital model of the bridge structure, and marking position data of each detection node on the BIM twin digital model;
and (3) sedimentation prediction analysis: importing the obtained settlement parameters into a bridge settlement prediction analysis model preset by a server in the server to obtain settlement analysis result data of each detection point of the bridge structure;
visual early warning analysis step: performing settlement grade analysis in the server according to the position data and the settlement analysis result data of each detection node, and generating corresponding early warning prompt information according to the settlement grade analysis result; and then, according to the position data of each detection node, corresponding settlement analysis result data, settlement grade and early warning prompt information labeling are linked to the BIM twin digital model for visual display.
A data acquisition step: acquiring road data information on a bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of a road and a bridge;
and (3) settling analysis: analyzing the climate condition of the position of the bridge structure according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment. And analyzing a settlement analysis result of settlement caused by the vehicle factors to each detection point according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and the bridge.
And (3) safety coefficient analysis step: analyzing the vibration frequency data, the vibration threshold interval and the traffic flow threshold interval, performing weight distribution on the vibration threshold interval, the flow threshold interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and then comprehensively analyzing and calculating the safety coefficient of the bridge structure.
A settlement early warning management step: and carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value.
Example two
The difference between the second embodiment and the first embodiment is that the engineering settlement deformation monitoring system based on the digital twin further comprises an intelligent traffic light, an intelligent speed limit prompting device and an intelligent speed measuring device, the intelligent traffic light, the intelligent speed limit prompting device and the intelligent speed measuring device are all in communication connection with a data collection control terminal, and the server further comprises the following modules:
a settlement safety management module: when the settlement deformation or the safety coefficient reaches a set alarm threshold value, carrying out real-time analysis calculation and monitoring on the settlement deformation through a settlement prediction analysis module, and analyzing a settlement deformation interval where the settlement deformation is located and a settlement safety warning level corresponding to the settlement deformation interval; the system is also used for acquiring the environmental information of the bridge structure in real time through the data acquisition module and acquiring the real-time traffic flow information on the bridge structure in real time through a camera and an image recognition algorithm; the system is also used for leading the settlement deformation, the settlement security alert level and the environmental information into a preset vehicle regulation strategy model to obtain a real-time optimal regulation strategy of the vehicle; the real-time optimal regulation strategy comprises vehicle flow regulation information and vehicle speed regulation information in unit time.
Vehicle regulation and control management module: the intelligent traffic light is used for intelligently regulating and controlling the real-time traffic flow information through the intelligent traffic light and the vehicle flow regulation and control information until the real-time traffic flow information meets the requirement of the vehicle flow regulation and control information; and the intelligent speed measuring device is also used for sending the vehicle speed regulation and control information to the intelligent speed limiting prompting device to carry out vehicle speed limiting prompting and measuring the speed of the vehicle on the bridge structure.
In this scheme, the measure of taking to the settlement deflection of bridge structures is different from prior art completely, and prior art adopts reinforcing apparatus to consolidate or concrete is pour again mostly, carries out the tamping operation to the road bed road surface to and optimize drainage system etc.. And this scheme is based on weather factor through vehicle regulation and control management module, subside deflection and traffic flow factor and carry out many-sided consideration analysis, for example calculate the traffic flow to the load of bridge construction, the influence of subsiding the deflection of load to bridge construction according to weather integrated analysis, thereby optimize the traffic flow, the regulation and control of speed of a motor vehicle, with this optimization of the load of bridge construction under the realization current weather, it aggravates to avoid subsiding the deflection, and influence bridge construction's self safety, avoid simultaneously making the driving jump the car phenomenon appear because of bridge construction's subside deformation, further lead to the emergence of incident.
EXAMPLE III
The difference between the third embodiment and the first embodiment is that the server further comprises the following modules:
a database: the BIM pre-built model is used for storing the bridge structure in the early stage of construction;
BIM model construction module: the bridge settlement parameter detection platform is used for detecting whether the settlement deformation exceeds a set threshold value in unit time or not, sending notification information to notify inspection personnel of acquiring three-dimensional scanning point cloud data of the appearance visual direction of the bridge structure from an actual place of the bridge structure through the unmanned aerial vehicle, constructing a BIM twin digital model of the bridge structure, and marking position data of each detection node on the BIM twin digital model;
a model comparison analysis module: the method is used for comparing a BIM pre-built model with a newly-built BIM twin digital model to obtain difference points, comparing, analyzing and judging data results of the difference points, judging whether a bridge structure is uniformly settled or not, generating first notification information 'setting butt straps at two ends of a bridge' if judging that the bridge structure is uniformly settled, and reasonably setting butt strap parameters to enable a roadbed and a road surface to be positioned on a normal plane so as to enable the roadbed bottom surface to be consistent with the butt strap top surface. The butt strap can ensure that the butt strap and the road surface are positioned on the same plane, so that the roadbed and the road surface are safer. Thereby avoiding the phenomenon of jumping. In this embodiment, the access board parameters are set with reference according to the data result of the difference points. When the differential settlement is judged, the subgrade and pavement tamping operation and the substrate selection are possible to be problematic, second notification information is generated, and suggestion prompt for taking corresponding measures to remedy is generated. Vehicles generate a great deal of loads when passing through the road surface continuously, and the loads can damage the road surface of the road base and cause the settlement deformation of the bridge structure. Meanwhile, weather factors cannot be ignored, and the model comparison analysis module of the scheme compares the BIM pre-built model with a newly-built BIM twin digital model. Therefore, corresponding measure suggestion prompts are obtained, the safety of the bridge structure can be guaranteed, the phenomenon that the vehicle jumps is avoided, and the personal safety of a driver and the property safety of the vehicle are facilitated.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is described herein in more detail, so that a person of ordinary skill in the art can understand all the prior art in the field and have the ability to apply routine experimentation before the present date, after knowing that all the common general knowledge in the field of the invention before the application date or the priority date of the invention, and the person of ordinary skill in the art can, in light of the teaching provided herein, combine his or her own abilities to complete and implement the present invention, and some typical known structures or known methods should not become an obstacle to the implementation of the present invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be defined by the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Engineering settlement deformation monitoring system based on digit twin, its characterized in that: the bridge settlement parameter detection system comprises a bridge settlement parameter detection platform based on a wireless sensor network and a server, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors arranged at all detection nodes and a data collection control terminal, and the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors to the server; the server comprises the following modules:
BIM model construction module: the system comprises a BIM (building information modeling) twin digital model, a three-dimensional scanning point cloud data acquisition unit and a three-dimensional scanning point cloud data acquisition unit, wherein the three-dimensional scanning point cloud data acquisition unit is used for acquiring the appearance visual direction of the bridge structure, constructing the BIM twin digital model of the bridge structure and marking the position data of each detection node on the BIM twin digital model;
a settlement prediction analysis module: the bridge settlement prediction analysis model is used for importing the obtained settlement parameters into a preset bridge settlement prediction analysis model to obtain settlement analysis result data of each detection point of the bridge structure;
visual early warning analysis module: the early warning system is used for carrying out settlement grade analysis according to the position data and the settlement analysis result data of each detection node and generating corresponding early warning prompt information according to the settlement grade analysis result; and the settlement analysis method is also used for linking the corresponding settlement analysis result data, settlement grade and early warning prompt information label to the BIM twin digital model for visual display according to the position data of each detection node.
2. The digital twin-based engineering settlement deformation monitoring system of claim 1, wherein: still including setting up the environmental information monitoring sensor on bridge structures, environmental information monitoring sensor is connected with data collection control terminal electricity, the server still includes following module:
a sedimentation analysis module: the system is used for analyzing the climate condition of the position where the bridge structure is located according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment.
3. The digital twin-based engineering settlement deformation monitoring system of claim 2, wherein: the server further comprises the following modules:
a data acquisition module: the system is used for collecting road data information on a bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of a road and a bridge;
and the settlement analysis module is also used for analyzing the settlement analysis result of settlement caused by the vehicle factors on each detection point according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and bridge.
4. The digital twin-based engineering settlement deformation monitoring system of claim 3, wherein: the server further comprises the following modules:
a safety coefficient analysis module: the method is used for analyzing the vibration frequency data, the vibration threshold interval and the traffic flow threshold interval, performing weight distribution on the vibration threshold interval, the flow threshold interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and then comprehensively analyzing and calculating the safety coefficient of the bridge structure.
5. The digital twin-based engineering settlement deformation monitoring system of claim 4, wherein: the server further comprises the following modules:
a settlement early warning management module: the bridge structure early warning system is used for carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value.
6. The engineering settlement deformation monitoring method based on the digital twin is characterized by comprising the following steps of:
a platform building step: the method comprises the steps that a bridge settlement parameter detection platform and a server based on a wireless sensor network are built, wherein the bridge settlement parameter detection platform comprises settlement parameter detection sensors arranged at detection nodes and a data collection control terminal, and the data collection control terminal is used for sending settlement parameters detected by the settlement parameter detection sensors to the server;
building a BIM model: acquiring three-dimensional scanning point cloud data of the appearance visual direction of the bridge structure, constructing a BIM (building information modeling) twin digital model of the bridge structure, and marking position data of each detection node on the BIM twin digital model;
and (3) sedimentation prediction analysis: importing the obtained settlement parameters into a bridge settlement prediction analysis model preset by a server in the server to obtain settlement analysis result data of each detection point of the bridge structure;
visual early warning analysis step: performing settlement grade analysis in the server according to the position data and the settlement analysis result data of each detection node, and generating corresponding early warning prompt information according to the settlement grade analysis result; and then, according to the position data of each detection node, corresponding settlement analysis result data, settlement grade and early warning prompt information labeling are linked to the BIM twin digital model for visual display.
7. The digital twin-based engineering settlement deformation monitoring method as claimed in claim 6, further comprising the steps of:
a platform building step: an environment information monitoring sensor is also required to be arranged on the bridge structure, and comprises a wind speed sensor, a rainfall sensor, a temperature sensor, a soil humidity sensor and an underground water level sensor;
and (3) settling analysis: analyzing the climate condition of the position of the bridge structure according to the historical environmental information monitored by the environmental information monitoring sensor; and analyzing the settlement analysis result of settlement caused by the environmental factors on each detection point by combining the climate condition and the historical environment.
8. The digital twin-based engineering settlement deformation monitoring method as claimed in claim 7, wherein: further comprising the steps of:
a data acquisition step: acquiring road data information on a bridge structure in real time, wherein the data information comprises vibration frequency data of the bridge structure and traffic flow of a road and a bridge;
and (3) settling analysis: and analyzing a settlement analysis result of settlement caused by the vehicle factors to each detection point according to the historical vibration frequency data of the bridge structure and the historical traffic flow of the road and the bridge.
9. The digital twinning-based engineering settlement deformation monitoring method is characterized by comprising the following steps of: further comprising the steps of:
and (3) safety coefficient analysis step: analyzing the vibration frequency data, the vibration threshold interval and the traffic flow threshold interval, performing weight distribution on the vibration threshold interval, the flow threshold interval and the settlement deformation in the settlement analysis result data of each detection point of the bridge structure, and comprehensively analyzing and calculating the safety coefficient of the bridge structure.
10. The digital twin-based engineering settlement deformation monitoring method as claimed in claim 9, wherein: further comprising the steps of:
a settlement early warning management step: and carrying out early warning analysis management on the settlement deformation of each detection node and the safety coefficient of the bridge structure, and generating warning prompt information when the settlement deformation or the safety coefficient reaches a set warning threshold value.
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