Overpass traffic facility maintenance method and system based on digital twinning and storage medium

Abstract

The invention discloses an overpass traffic facility maintenance method and system based on digital twinning and a storage medium, and relates to the field of bridge safety maintenance. Obtaining an overpass structure data set, and constructing a finite element model of a load distribution diagram and a bridge structure; inputting the load distribution diagram and the finite element model into a pre-trained digital twin model to obtain an initial flyover digital twin structure; optimizing the digital twinning structure of the flyover according to the similarity between the discrete distribution index and the current data distribution index to obtain the digital twinning structure of the flyover; and monitoring flyover structure data in real time, inputting the data into the flyover digital twin structure, determining a bridge dynamic response and identifying a damage area for the flyover digital twin structure based on the flyover design standard to obtain a damage quantitative index, and judging a bridge maintenance strategy according to the damage quantitative index. The method has the remarkable beneficial effects in the aspects of improving the intelligent level of bridge maintenance, promoting the sustainable development of bridge traffic facilities and the like.

Description

Technical Field

[0001] The present invention relates to the field of bridge safety maintenance, and more specifically to a method, system and storage medium for maintaining overpass traffic facilities based on digital twins. Background Art

[0002] Overpasses are an important part of urban infrastructure construction, especially in times of traffic congestion, they play an extremely important role in solving urban traffic congestion and improving traffic capacity. However, as a public infrastructure building, the construction, maintenance and upkeep of overpasses require the cooperation of a large number of employees and professionals to ensure the smooth and unobstructed flow of urban roads.

[0003] First of all, the maintenance of the overpass mainly depends on the normal operation of its equipment, so it is necessary to regularly check and maintain the equipment. For example, check whether the street lights are normal and eliminate abnormal phenomena; maintain facilities such as lifting poles and environmental protection belts to ensure that they can work normally. Secondly, the overpass crosses the road surface, so safety inspections must be emphasized during maintenance. For example, check whether the cables and other lines inside and below the overpass are operating normally; check whether safety facilities such as rockfall nets are intact. In addition, preventive maintenance of overpasses is also very important, and its purpose is to repair equipment and facilities before they fail, so as to avoid future failures. For example, regularly check the supporting structure, cracks, and connection parts of the overpass to prevent subsequent failures; apply protective coatings such as rust-proof coatings and plasticizers to avoid corrosion of the overpass. If the overpass fails or the equipment fails, timely maintenance is required. For example, reinforce the connection parts and repair cracks; clean up the accumulated water and deal with water leakage problems; check the dynamic low-pass filter of the equipment, check the cage shape and motor heating, etc.

[0004] At present, the maintenance of overpasses is not targeted, requires a lot of manpower and financial resources, and causes a lot of waste of resources. Therefore, how to carry out targeted maintenance of overpasses while ensuring the safe use of overpasses is urgently needed to be studied by technical personnel in this field. Summary of the invention

[0005] In view of this, the present invention provides a method, system and storage medium for maintaining overpass traffic facilities based on digital twins, which have significant beneficial effects in improving data processing efficiency and accuracy, optimizing digital twin models, enhancing the intelligence level of bridge maintenance, and promoting the sustainable development of bridge traffic facilities.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A method for maintaining overpass traffic facilities based on digital twins, comprising the following steps:

[0008] Collect the overpass structure data, use the principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and construct the load distribution diagram and the finite element model of the bridge structure;

[0009] The digital twin model is trained using historical monitoring data of the overpass structure, and the load distribution map and finite element model are input into the pre-trained digital twin model to obtain the initial overpass digital twin structure.

[0010] A clustering algorithm is used to obtain a cluster set for historical monitoring data, and discrete analysis is performed on the cluster set to obtain discrete distribution indicators. The current data distribution indicators are extracted from the overpass structure data group, and the digital twin structure of the overpass is optimized according to the similarity between the discrete distribution indicators and the current data distribution indicators to obtain the digital twin structure of the overpass;

[0011] The real-time monitoring data of the overpass structure is input into the digital twin structure of the overpass. Based on the overpass design standard, the dynamic response of the bridge is determined for the digital twin structure of the overpass, the damaged area is identified, the damage quantification index is obtained, and the bridge maintenance strategy is judged according to the damage quantification index.

[0012] Optionally, the overpass structure data includes bridge construction data, bridge load data, bridge structure displacement data and bridge surface image data.

[0013] Optionally, the digital twin structure of the overpass is optimized according to the similarity between the discrete distribution indicators and the current data distribution indicators, specifically: the similarity between the discrete distribution indicators and the current data distribution indicators is calculated, the current data and historical data are classified based on the similarity to obtain the target data set, and the target data set is used to complete the optimization of the digital twin structure of the overpass.

[0014] Optionally, the image data of the bridge surface is processed as follows:

[0015] Obtain image data of the bridge surface, the image data including the original crack curve, and grayscale the image data, converting the multi-channel color image into a single-channel grayscale image;

[0016] Using a convolutional neural network to locate and segment the crack area of ​​the bridge in the grayscale image; and extracting crack features of the segmented crack area;

[0017] Based on the crack characteristics of the segmented crack area and the temporal implicit characteristics in the structural data, the segmented crack area is classified using the Canny edge anomaly detection algorithm to obtain a crack area analysis result.

[0018] Optionally, the bridge maintenance strategy is also transmitted to the overpass maintenance platform in real time, prompting maintenance personnel to carry out targeted maintenance on the overpass.

[0019] Optionally, based on the overpass design standard, the dynamic response of the bridge is determined for the digital twin structure of the overpass, the damaged area is identified, and the damage quantification index is obtained. Specifically, different excitation characteristics are input into the digital twin structure of the overpass, and the location and degree of damage are identified by comparing the vibration responses before and after the damage; the characteristic values ​​of the location and degree of damage are extracted, and the damage quantification index is determined based on the characteristic values.

[0020] A digital twin-based overpass traffic facility maintenance system, comprising:

[0021] Finite element model building module: used to collect overpass structure data, use principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and build the load distribution diagram and the finite element model of the bridge structure;

[0022] Initial overpass digital twin structure generation module: used to train the digital twin model using historical monitoring data of the overpass structure, input the load distribution diagram and finite element model into the pre-trained digital twin model, and obtain the initial overpass digital twin structure;

[0023] Interchange digital twin structure optimization module: used to obtain a cluster set of clusters using a clustering algorithm for historical monitoring data, perform discrete analysis on the cluster set to obtain discrete distribution indicators, extract current data distribution indicators from the interchange structure data group, and optimize the digital twin structure of the interchange according to the similarity between the discrete distribution indicators and the current data distribution indicators to obtain the digital twin structure of the interchange;

[0024] Overpass maintenance strategy module: used to monitor the overpass structure data in real time and input it into the overpass digital twin structure. Based on the overpass design standard, the dynamic response of the bridge is determined for the overpass digital twin structure, the damaged area is identified, and the damage quantification index is obtained. The bridge maintenance strategy is determined based on the damage quantification index.

[0025] Optionally, it also includes a maintenance strategy transmission module: used to transmit the bridge maintenance strategy to the overpass maintenance platform in real time, prompting maintenance personnel to perform targeted maintenance on the overpass.

[0026] A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any one of the steps of a method for maintaining overpass traffic facilities based on digital twins.

[0027] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a method, system and storage medium for maintaining overpass traffic facilities based on digital twins, which have the following beneficial effects:

[0028] 1. Based on the damage quantification indicators, the maintenance strategy of the bridge can be judged, such as whether it needs reinforcement, repair or replacement, which helps to realize intelligent decision-making for bridge maintenance and improve the efficiency and benefits of maintenance work.

[0029] 2. Use historical monitoring data to train the digital twin model, and input the load distribution map and finite element model into it to obtain the initial digital twin structure of the overpass. This allows the digital twin structure to integrate past experience information from actual operations and mechanical model information built based on design theory, making it more in line with the actual structural state and working conditions of the overpass, providing a reliable starting point for subsequent precise simulation and analysis.

[0030] 3. Use clustering algorithms to analyze historical monitoring data to obtain discrete distribution indicators, and combine the similarity of current data distribution indicators to optimize the digital twin structure of the overpass, so that the digital twin model can be dynamically adjusted and self-optimized according to changes in actual conditions, so that it can better adapt to the changes in structural characteristics of the overpass at different stages and under different working conditions, always maintain a high simulation accuracy of the real structure, and improve the effectiveness of the model in the maintenance process of transportation facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0032] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0033] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] The embodiment of the present invention discloses a method for maintaining overpass traffic facilities based on digital twins, such as Figure 1 As shown, the following steps are included:

[0036] Step 1: Collect the overpass structure data, use the principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and construct the load distribution diagram and the finite element model of the bridge structure;

[0037] Step 2: Use historical monitoring data of the overpass structure to train the digital twin model, input the load distribution map and the finite element model into the pre-trained digital twin model, and obtain the initial overpass digital twin structure;

[0038] Step 3: Use a clustering algorithm to obtain a cluster set for historical monitoring data, perform discrete analysis on the cluster set to obtain a discrete distribution index, extract the current data distribution index from the overpass structure data group, optimize the overpass digital twin structure according to the similarity between the discrete distribution index and the current data distribution index, and obtain the overpass digital twin structure;

[0039] Step 4: Real-time monitoring of the overpass structure data is input into the overpass digital twin structure. Based on the overpass design standard, the dynamic response of the bridge is determined for the overpass digital twin structure, the damaged area is identified, the damage quantification index is obtained, and the bridge maintenance strategy is determined based on the damage quantification index.

[0040] Furthermore, in step 1 and step 4, the overpass structure data includes bridge construction data, bridge load data, bridge structure displacement data and bridge surface image data.

[0041] Furthermore, the image data of the bridge surface is processed as follows:

[0042] Obtain image data of the bridge surface, the image data including the original crack curve, and grayscale the image data, converting the multi-channel color image into a single-channel grayscale image;

[0043] Using a convolutional neural network to locate and segment the crack area of ​​the bridge using the grayscale image; and extracting crack features of the segmented crack area;

[0044] Based on the crack characteristics of the segmented crack area and the temporal implicit characteristics in the structural data, the segmented crack area is classified using the Canny edge anomaly detection algorithm to obtain a crack area analysis result.

[0045] In this embodiment, the identification of damaged areas can be performed based on digital twin technology and image processing technology. Image data of the bridge surface is obtained through high-precision photography equipment (such as a high-definition camera carried by a drone), and then the image is analyzed using an image processing algorithm to identify potential damaged areas.

[0046] For example, deep learning intelligent algorithms can be used to detect damage such as cracks. This method has a high accuracy rate in identifying cracks with obvious features such as roads and walls, but for small cracks in concrete components, since their image representation is similar to scratches, water marks, etc., it is still challenging to identify them. In this case, manual review can be combined to improve the accuracy of recognition.

[0047] In addition, a triangular mesh model can be used to model the damaged area more finely. This method can be generated by directly encapsulating the point cloud, or it can be based on the reverse-constructed BIM model to generate a point cloud model by sampling again and encapsulating it as a triangular mesh. This method is mainly suitable for situations where the point cloud is incomplete and can be supplemented by designing geometric features.

[0048] Furthermore, in step three, the digital twin structure of the overpass is optimized according to the similarity between the discrete distribution indicators and the current data distribution indicators. Specifically, the similarity between the discrete distribution indicators and the current data distribution indicators is calculated, and the current data and historical data are classified based on the similarity to obtain the target data set, and the target data set is used to complete the optimization of the digital twin structure of the overpass.

[0049] In this embodiment, the bridge maintenance strategy is also transmitted to the overpass maintenance platform in real time, prompting maintenance personnel to carry out targeted maintenance on the overpass.

[0050] Furthermore, in step four, the dynamic response of the bridge is determined for the digital twin structure of the overpass based on the overpass design standard, the damaged area is identified, and the damage quantification index is obtained. Specifically, different excitation characteristics are input into the digital twin structure of the overpass, and the location and degree of damage are identified by comparing the vibration responses before and after the damage; the characteristic values ​​of the location and degree of damage are extracted, and the damage quantification index is determined based on the characteristic values.

[0051] The use of dynamics theory can quickly and accurately evaluate the service status of bridge structures. In this process, the three major dynamic parameters of the bridge must be determined: vibration mode, frequency and damping ratio. However, these parameters must be obtained from its dynamic response using modal analysis methods.

[0052] In the process of monitoring bridge dynamic parameters, the data monitored and collected by the dynamic response sensor is the dynamic response of the bridge, including acceleration response and dynamic displacement response. They are a set of data that changes rapidly over time, and the amount of data is huge, reaching hundreds or even thousands of data per second. In order to improve data transmission efficiency, reduce the computational burden of the early warning system, and ensure the effectiveness and real-time nature of monitoring data transmission, it is necessary to screen and process the massive amount of dynamic response data collected.

[0053] Furthermore, in the quantitative evaluation process, the digital twin model is used for simulation and prediction: by simulating and analyzing the digital twin model of the bridge structure, its response and performance under different working conditions can be predicted. The predicted results are then compared with the actual situation to evaluate the severity of the damage and its impact on the bridge structure.

[0054] and Figure 1 Corresponding to the method shown, the present invention also discloses a traffic facility maintenance system for an overpass based on digital twins for Figure 1 The implementation of the method, the specific structure is as follows Figure 2 As shown, including:

[0055] Finite element model building module: used to collect overpass structure data, use principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and build the load distribution diagram and the finite element model of the bridge structure;

[0056] Initial overpass digital twin structure generation module: used to train the digital twin model using historical monitoring data of the overpass structure, input the load distribution diagram and finite element model into the pre-trained digital twin model, and obtain the initial overpass digital twin structure;

[0057] Interchange digital twin structure optimization module: used to obtain a cluster set of clusters using a clustering algorithm for historical monitoring data, perform discrete analysis on the cluster set to obtain discrete distribution indicators, extract current data distribution indicators from the interchange structure data group, and optimize the digital twin structure of the interchange according to the similarity between the discrete distribution indicators and the current data distribution indicators to obtain the digital twin structure of the interchange;

[0058] Overpass maintenance strategy module: used to monitor the overpass structure data in real time and input it into the overpass digital twin structure. Based on the overpass design standard, the dynamic response of the bridge is determined for the overpass digital twin structure, the damaged area is identified, and the damage quantification index is obtained. The bridge maintenance strategy is determined based on the damage quantification index.

[0059] In this embodiment, a maintenance strategy transmission module is also included: it is used to transmit the bridge maintenance strategy to the overpass maintenance platform in real time, and prompt the maintenance personnel to carry out targeted maintenance on the overpass.

[0060] Finally, this embodiment discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, any one of the steps of the method for maintaining overpass traffic facilities based on digital twins is implemented.

[0061] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0062] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for maintaining overpass traffic facilities based on digital twins, characterized in that: The following steps are involved: Collect the overpass structure data, use the principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and construct the load distribution diagram and the finite element model of the bridge structure; The digital twin model is trained using historical monitoring data of the overpass structure, and the load distribution map and finite element model are input into the pre-trained digital twin model to obtain the initial overpass digital twin structure. A clustering algorithm is used to obtain a cluster set for historical monitoring data, and discrete analysis is performed on the cluster set to obtain discrete distribution indicators. The current data distribution indicators are extracted from the overpass structure data group, and the digital twin structure of the overpass is optimized according to the similarity between the discrete distribution indicators and the current data distribution indicators to obtain the digital twin structure of the overpass; The real-time monitoring data of the overpass structure is input into the digital twin structure of the overpass. Based on the overpass design standard, the dynamic response of the bridge is determined for the digital twin structure of the overpass, the damaged area is identified, the damage quantification index is obtained, and the bridge maintenance strategy is judged according to the damage quantification index.

2. According to claim 1, a method for maintaining overpass traffic facilities based on digital twins is characterized in that: The overpass structure data includes bridge construction data, bridge load data, bridge structure displacement data and bridge surface image data.

3. The method for maintaining overpass traffic facilities based on digital twin according to claim 1, characterized in that: The digital twin structure of the overpass is optimized according to the similarity between the discrete distribution indicators and the current data distribution indicators. Specifically, the similarity between the discrete distribution indicators and the current data distribution indicators is calculated, the current data and historical data are classified based on the similarity to obtain the target data set, and the target data set is used to complete the digital twin structure optimization of the overpass.

4. The method for maintaining overpass traffic facilities based on digital twin according to claim 2 is characterized in that: The processing of the image data of the bridge surface is as follows: Obtain image data of the bridge surface, the image data including the original crack curve, and grayscale the image data, converting the multi-channel color image into a single-channel grayscale image; Using a convolutional neural network to locate and segment the crack area of ​​the bridge using the grayscale image; and extracting crack features of the segmented crack area; Based on the crack characteristics of the segmented crack area and the temporal implicit characteristics in the structural data, the segmented crack area is classified using the Canny edge anomaly detection algorithm to obtain a crack area analysis result.

5. The method for maintaining overpass traffic facilities based on digital twin according to claim 1 is characterized in that: It also includes transmitting bridge maintenance strategies to the overpass maintenance platform in real time, prompting maintenance personnel to carry out targeted maintenance on the overpass.

6. The method for maintaining overpass traffic facilities based on digital twin according to claim 1 is characterized in that: Based on the overpass design standard, the dynamic response of the digital twin structure of the overpass is determined, the damaged area is identified, and the damage quantification index is obtained. Specifically, different excitation characteristics are input into the digital twin structure of the overpass, and the location and degree of damage are identified by comparing the vibration responses before and after damage; the characteristic values ​​of the location and degree of damage are extracted, and the damage quantification index is determined according to the characteristic values.

7. An overpass traffic facility maintenance system based on digital twins, characterized in that: include: Finite element model building module: used to collect overpass structure data, use principal component analysis dimensionality reduction algorithm to pre-process the overpass structure data, remove redundant data, obtain the overpass structure data group, and build the load distribution diagram and the finite element model of the bridge structure; Initial overpass digital twin structure generation module: used to train the digital twin model using historical monitoring data of the overpass structure, input the load distribution diagram and finite element model into the pre-trained digital twin model, and obtain the initial overpass digital twin structure; Interchange digital twin structure optimization module: used to obtain a cluster set of clusters using a clustering algorithm for historical monitoring data, perform discrete analysis on the cluster set to obtain discrete distribution indicators, extract current data distribution indicators from the interchange structure data group, and optimize the digital twin structure of the interchange according to the similarity between the discrete distribution indicators and the current data distribution indicators to obtain the digital twin structure of the interchange; Overpass maintenance strategy module: used to monitor the overpass structure data in real time and input it into the overpass digital twin structure. Based on the overpass design standard, the dynamic response of the bridge is determined for the overpass digital twin structure, the damaged area is identified, and the damage quantification index is obtained. The bridge maintenance strategy is determined based on the damage quantification index.

8. The digital twin-based overpass traffic facility maintenance system according to claim 7 is characterized in that: It also includes a maintenance strategy transmission module: it is used to transmit the bridge maintenance strategy to the overpass maintenance platform in real time, prompting maintenance personnel to carry out targeted maintenance on the overpass.

9. A computer storage medium, characterized in that The computer storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the overpass traffic facility maintenance method based on digital twins as described in any one of claims 1 to 6 are implemented.

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