CN116384189A - Highway bridge state evaluation system and method - Google Patents
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Abstract
The invention discloses a highway bridge state evaluation system and method, comprising a data acquisition system, a data processing and evaluating system and a plurality of user interface terminals; the data acquisition system is used for acquiring bridge data; the data acquisition system transmits the bridge data to the data processing and evaluating system; the data processing and evaluation system is in data interaction connection with a plurality of user interface terminals; the data processing and evaluation system comprises an image recognition processing module, a data storage module, a bridge modeling module and a data calculation and evaluation module; the image recognition processing module is used for processing image data in the bridge data; the data storage module is used for storing the processed and rated data; the bridge modeling module is used for performing finite element modeling on the bridge; the data calculation evaluation module is used for calculating the durability of the bridge, calculating and evaluating the bearing capacity of the bridge and predicting the residual life of the bridge; the user interface terminal is used for visualizing the bridge state.
Description
Technical Field
The invention belongs to the field of highway bridge detection and state evaluation, and particularly relates to a highway bridge state evaluation system and method.
Background
Over decades of large-scale bridge construction, highway bridges have now evolved to a scale where concrete bridges, prestressed concrete bridges, account for a significant portion. However, after the bridge is used for more than ten years and more than twenty years, the phenomena of serious steel bar corrosion, concrete cracking, protection layer peeling and the like appear in the bridge, and the evaluation of the operation state of the bridge is greatly influenced. The existing bridge assessment methods are mainly divided into 5 types, namely: the method based on appearance investigation, the method based on design specifications, the load test method, the method based on expert experience and the reliability analysis method have great subjective factors for evaluating the technical condition of the bridge, and the working procedure is complex and low in cost.
With the rise of big data, artificial intelligence and image recognition technologies, the evaluation of the bridge is also changed to intelligence, and the evaluation of subjective factors on the technical condition of the bridge can be avoided by means of a software algorithm, so that the evaluation of the technical condition of the bridge is a more scientific system. The intelligent evaluation is carried out on the old concrete bridge, and the purpose is to more accurately evaluate and predict the bridge performance, so that the bridge management and maintenance are systematic, scientific and intelligent. Wherein bridge durability assessment, life prediction and bearing capacity assessment comprise bridge data collection, model construction, analysis processing and decision making, and more detailed data and more scientific and intelligent analysis methods are required for assessing and predicting the use state of the bridge for better assessment and prediction.
In summary, in the prior art, the bridge state is evaluated, and the problems of more work content, slow data processing speed and more influence of artificial subjective factors during evaluation exist in the process of detecting the bridge state.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a highway bridge state evaluation system and a highway bridge state evaluation method, which are used for solving the problems of more work content, low data processing speed and more influence of artificial subjective factors in the evaluation process from detection to the evaluation of bridge state in the prior art, and the intelligent, efficient and timely evaluation analysis of the highway bridge in the operation process is convenient for making an accurate state evaluation decision.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a highway bridge state evaluation system comprises a data acquisition system, a data processing and evaluating system and a plurality of user interface terminals;
the data acquisition system is used for acquiring bridge data; the data acquisition system transmits bridge data to the data processing and evaluating system;
the data processing and evaluating system is in data interaction connection with a plurality of user interface terminals;
the data processing and evaluation system comprises an image recognition processing module, a data storage module, a bridge modeling module and a data calculation and evaluation module; the image recognition processing module is used for processing image data in the bridge data; the data storage module is used for storing the processed and rated data; the bridge modeling module is used for performing finite element modeling on the bridge; the data calculation evaluation module is used for calculating the durability of the bridge, calculating and evaluating the bearing capacity of the bridge and predicting the residual life of the bridge;
the user interface terminal is used for visualizing the bridge state.
Preferably, the data acquisition system comprises a shooting unmanned plane, a sensor acquisition system and bridge detection data;
the unmanned shooting unmanned aerial vehicle is used for shooting bridge photos, and the sensor acquisition system comprises a displacement meter, a load sensor, a strain gauge, a vibration sensor and a thermometer; the sensor acquisition system is used for acquiring bridge deformation, strain, stress, deflection, traffic volume and ambient temperature.
Further, the image recognition module is used for processing the unmanned aerial vehicle shooting image and acquiring main characteristic data, wherein the main characteristic data comprises the length, the width and the area of the crack.
Preferably, the data processing and storing module performs gray correction, shadow elimination and image enhancement and denoising treatment on the image identification data output by the image identification module, and the bridge data acquired by the data acquisition system are collected and stored in real time.
Preferably, the bridge modeling module is used for establishing a bridge finite element model and calculating bridge strain and deflection according to the bridge finite element model; and simultaneously establishing a bridge information base, and storing bridge photos, bridge information cards, bridge member information, disease characteristic information and maintenance record information.
Preferably, the user interface terminal comprises a log recording module and a bridge state evaluation report generating module; the log recording module is used for recording bridge state evaluation data; the bridge state evaluation report generation module is used for generating an evaluation report according to bridge state evaluation data.
A highway bridge state evaluation method comprises the following steps,
step 1, an unmanned aerial vehicle shoots a bridge disease photo, and a sensor system and bridge detection acquire bridge data;
step 2, transmitting the data acquired in the step 1 to a data processing and evaluating system for data preprocessing, processing the photo shot by the unmanned aerial vehicle by an image recognition module to acquire crack width parameters, processing sensor signals by the data processing and classifying and storing the data of the acquisition system, performing specific data management classified storage work, and collecting and storing static and dynamic bridge data of the acquisition system in real time; transmitting the data to a bridge modeling information module and a calculation evaluation module;
step 3, the bridge modeling module establishes a bridge finite element model for calculating bridge strain and deflection information, establishes a bridge information base and stores bridge information;
and 5, performing bridge technical index state evaluation, bridge member technical state evaluation and bridge overall technical state evaluation by the user interface terminal to complete highway bridge state evaluation.
Preferably, in step 4, the bridge durability evaluation is divided into a target layer, a project layer and an index layer; obtaining an actual measurement value of an evaluation index of a bridge to be evaluated according to the bridge durability evaluation index system, obtaining an unknown measure function curve corresponding to an evaluation grade, and determining the weight of the durability index by using a hierarchical analysis method; and calculating an unknown measure function value of the evaluation index, and determining an overall evaluation result of the bridge durability through weighting treatment.
Preferably, in step 4, the bridge bearing capacity assessment includes the following steps that a crack index coefficient is obtained according to the crack characteristic data in the step 2 data, a section deterioration coefficient is introduced, a bearing capacity deterioration coefficient is introduced, and a bearing capacity calculation coefficient under the crack index is used for carrying out the bridge bearing capacity assessment.
Preferably, in step 5, the method further comprises the steps of archiving the evaluation data, generating an evaluation report, managing bridge information, maintenance records and logs, and completing the highway bridge state evaluation.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention provides a highway bridge state evaluation system, which greatly improves the working efficiency of data acquisition by shooting by an unmanned aerial vehicle and collecting data by a sensor module, and a user terminal is in bidirectional connection with a data processing and evaluating system, wherein the data processing and evaluating system is connected with a current standard database as a calculation and evaluating standard, so that the intelligent evaluation system for bridge states, which can realize the follow-up, related data acquisition, data processing classification, bridge foundation information establishment, automatic calculation and evaluation, evaluation report generation and long-term record inquiry formation, greatly improves the working efficiency of bridge state evaluation, ensures the timeliness of bridge state evaluation work, can conveniently check the concrete distribution condition and actual image of bridge diseases, timely provides efficient and accurate technical condition evaluation results, and provides a data basis for timely processing bridge problems. Based on big data, artificial intelligence and image recognition technology, bridge information and state evaluation management are realized, the management, checking, report generation and log recording of the bridge information are realized for a user, a new thought is provided for a bridge state evaluation system, and important practical significance is brought to bridge disease treatment and maintenance decision.
Furthermore, in the intelligent evaluation system for the bridge state of the highway, the bridge data calculation module comprises a bridge durability evaluation calculation module, a bridge bearing capacity calculation evaluation module and a bridge residual life prediction module, and further evaluation on the bridge state can be realized on the basis of technical state evaluation, so that the whole evaluation result is more comprehensive, the accuracy is high, and the efficiency is greatly improved.
The road bridge state evaluation method solves the problems that the bridge evaluation has more internal work content, slow process data and more influence of artificial subjective factors in the evaluation process, greatly improves the intelligent degree of the system, realizes automatic evaluation calculation and automatic report generation of the system, greatly improves the bridge evaluation work efficiency, can check specific information of bridge diseases at any time, can timely, objectively and accurately reflect the bridge state information, and provides accurate data support for timely processing decisions.
Drawings
FIG. 1 is a block diagram of a highway bridge status assessment system according to the present invention.
Fig. 2 is a flow chart for bridge technology state evaluation.
FIG. 3 is a diagram of a bridge state of technology assessment model.
Fig. 4 is a flowchart for evaluating the durability grade index of the bridge.
Fig. 5 is a diagram of a bridge durability evaluation index system.
Fig. 6 is a diagram of a bridge bearing capacity calculation model.
Detailed Description
The invention will now be described in further detail with reference to specific examples, which are intended to illustrate, but not to limit, the invention.
As shown in FIG. 1, the invention provides a highway bridge state evaluation system, which comprises a data acquisition system, a data processing and evaluating system and a user interface terminal, wherein the data processing and evaluating system in the system is in bidirectional connection with a plurality of user terminal modules; the data acquisition system acquires unmanned aerial vehicle shooting data, sensor acquisition data and bridge detection data to generate a data packet, the data packet is arranged and then transmitted to the data processing and evaluating system, the data processing and evaluating module comprises an image recognition processing module, a data storage module, a bridge modeling module and a data calculation evaluating module, and meanwhile comprises current bridge standard data packets, the result after calculation processing is evaluated, and then an evaluation result generation report is transmitted to a user interface of the system.
The system comprises an unmanned aerial vehicle shooting and sensor acquisition module, an automobile type bridge detection vehicle, a crack detector (TYQJ 005-01-02) and other field bridge detection data;
the sensor acquisition system comprises a displacement meter, a load sensor, a strain gauge, a vibration sensor and a thermometer which are arranged at the bridge end and the midspan of the bridge; the sensor can acquire the state information such as bridge deformation, strain, stress, deflection, traffic volume, ambient temperature and the like by collecting data, and is convenient to install, good in durability and convenient to maintain and replace.
The data processing and evaluation system comprises image recognition, data processing and storage, bridge modeling information management and data calculation and evaluation.
The image recognition module is used for processing pictures shot by the unmanned aerial vehicle and acquiring main characteristic data, namely the length, the width and the area of the crack.
The data processing and storing module is used for sensor signal processing and collecting system data classified storage, and can reduce the noise of the sensor data and perform analog-digital conversion processing; the image recognition data are subjected to gray level correction, shadow elimination and image enhancement and denoising, specific data management, classification and storage work is carried out, and bridge data of static data (stress, strain and deflection) and dynamic characteristic parameters (frequency, vibration mode) and vibration level (intensity and amplitude) of the acquisition system are collected in real time and stored.
The bridge modeling information management comprises bridge information card management, bridge component information management, disease characteristic information management and maintenance record management; the bridge disease information, the specific position photo of the disease, the basic structure information of the bridge and the actual appearance photo information of the bridge detected in the management range can be classified, arranged, specifically displayed and parallel to the specific description, and the management unit information and the past maintenance record data are archived to be uniformly managed for inquiry and calling.
The data calculation module comprises bridge durability calculation, bridge bearing capacity calculation evaluation and bridge residual life prediction; and calling an embedded bridge current specification data packet, and comprehensively calculating and analyzing the overall performance of the bridge according to the specification and based on actual data to establish the actual conditions of the performance of the bridge in all aspects in an actual operation environment.
The bridge technical state evaluation module shown in fig. 2 is used for including bridge component state evaluation, bridge part state evaluation and bridge overall state evaluation. According to the information of the bridge structure, the bridge parts, the types of the components, the component information, the main diseases, the disease scale and the like, the bridge part technology assessment and the bridge overall technology state assessment are carried out.
The user interface terminal comprises a user login module, a user management module, a log recording module and a bridge state evaluation report generating module. And after the bridge state evaluation is completed, generating information reports of the evaluation, weight and grade of the components, and generating a final evaluation report of the bridge to obtain the grade of the bridge and the final technical state condition generation report of the bridge. And inquiring disease information, displaying a photo of a specific position of the disease, inquiring bridge information, and detecting and maintaining the bridge.
The invention discloses a highway bridge state evaluation system method, which comprises the following steps:
and 1, taking bridge disease photos by using an unmanned aerial vehicle, acquiring information such as bridge deformation, strain, deflection, environment and the like by using a sensor system, and acquiring bridge information by bridge detection according to the highway bridge technical condition evaluation standard and the highway bridge and culvert maintenance standard.
Step 2, transmitting the data packet obtained in the step 1 to a data processing and evaluating system for data preprocessing, processing the photo shot by the unmanned aerial vehicle by an image recognition technology to obtain parameters such as crack width and the like, processing a sensor signal by the data processing, classifying and storing the data of the acquisition system, performing specific data management classified storage work, and collecting and storing static and dynamic bridge data of the acquisition system in real time; and transmitting the data to the bridge modeling information module and the calculation evaluation module.
And 3, the bridge modeling module establishes a bridge finite element model for calculating information such as bridge strain and deflection, establishes a bridge information base, stores information such as bridge photos, information cards and management and maintenance units, realizes bridge information visualization, and is convenient for a user to manage and review.
And 4, based on the data and the model obtained in the step 2 and the step 3, the data calculation and evaluation module refers to the embedded current bridge standard data packet to perform bridge durability evaluation, bridge bearing capacity evaluation and bridge residual life prediction.
As shown in fig. 2 and 3, the bridge technical condition assessment consists of scoring the bridge components and weighting the bridge components relative to the bridge technical condition. The invention adopts a theoretical mode of combining triangle fuzzy number and analytic hierarchy process to calculate the weight of the part component in the technical condition of the bridge, solves the uncertainty of the traditional scoring mode, and ensures that the construction result is more reasonable.
As shown in fig. 4 and fig. 5, bridge durability evaluation is divided into a target layer, a project layer and an index layer, according to a bridge durability evaluation index system, an actual measurement value of an evaluation index of a bridge to be evaluated is obtained, an unknown measure function curve corresponding to an evaluation grade is obtained, and a durability index weight is determined by using a hierarchical analysis method; and calculating an unknown measure function value of the evaluation index, and determining an overall evaluation result of the bridge durability through weighting treatment. And predicting the residual life of the bridge based on the durability evaluation result.
As shown in fig. 6, the bridge bearing capacity assessment obtains a crack index coefficient based on the crack characteristic data obtained by the acquisition system, and the section deterioration coefficient, the bearing capacity deterioration coefficient and the bearing capacity calculation coefficient under the crack index are introduced for bearing capacity assessment by referring to the current specification.
The bridge state evaluation is based on JTG/T H-2011 specification, classification refinement is carried out on each bridge, and the bridge state evaluation is three layers from bottom to top according to corresponding evaluation rules, namely component state evaluation, component state evaluation and full bridge state evaluation.
And 5, the user terminal of the system can realize bridge technical index state evaluation, bridge member technical state evaluation and bridge overall technical state evaluation, archive evaluation data, generate an evaluation report, and manage bridge information, maintenance records and logs, so that the intelligent evaluation system for the highway bridge state is completed.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention for illustrating the technical solution, but not for limiting the scope of the present invention, and it should be understood by those skilled in the art that although the present invention has been described in detail with reference to the above examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The highway bridge state evaluation system is characterized by comprising a data acquisition system, a data processing and evaluating system and a plurality of user interface terminals;
the data acquisition system is used for acquiring bridge data; the data acquisition system transmits bridge data to the data processing and evaluating system;
the data processing and evaluating system is in data interaction connection with a plurality of user interface terminals;
the data processing and evaluation system comprises an image recognition processing module, a data storage module, a bridge modeling module and a data calculation and evaluation module; the image recognition processing module is used for processing image data in the bridge data; the data storage module is used for storing the processed and rated data; the bridge modeling module is used for performing finite element modeling on the bridge; the data calculation evaluation module is used for calculating the durability of the bridge, calculating and evaluating the bearing capacity of the bridge and predicting the residual life of the bridge;
the user interface terminal is used for visualizing the bridge state.
2. The highway bridge state evaluation system according to claim 1, wherein the data acquisition system comprises a shooting unmanned aerial vehicle, a sensor acquisition system, and bridge detection data;
the unmanned shooting unmanned aerial vehicle is used for shooting bridge photos, and the sensor acquisition system comprises a displacement meter, a load sensor, a strain gauge, a vibration sensor and a thermometer; the sensor acquisition system is used for acquiring bridge deformation, strain, stress, deflection, traffic volume and ambient temperature.
3. The highway bridge state evaluation system according to claim 2, wherein the image recognition module is configured to process the unmanned aerial vehicle photographed image to obtain main feature data, and the main feature data includes a crack length, a crack width and a crack area.
4. The highway bridge state evaluation system according to claim 1, wherein the data processing and storing module performs gray scale correction, shadow elimination and image enhancement and denoising processing on the image identification data output by the image identification module, and collects and stores bridge data acquired by the data acquisition system in real time.
5. The highway bridge state evaluation system according to claim 1, wherein the bridge modeling module is configured to build a bridge finite element model, and calculate bridge strain and deflection according to the bridge finite element model; and simultaneously establishing a bridge information base, and storing bridge photos, bridge information cards, bridge member information, disease characteristic information and maintenance record information.
6. The highway bridge state evaluation system according to claim 1, wherein the user interface terminal comprises a log recording module and a bridge state evaluation report generating module; the log recording module is used for recording bridge state evaluation data; the bridge state evaluation report generation module is used for generating an evaluation report according to bridge state evaluation data.
7. A highway bridge state evaluation method is characterized by comprising the following steps of,
step 1, an unmanned aerial vehicle shoots a bridge disease photo, and a sensor system and bridge detection acquire bridge data;
step 2, transmitting the data acquired in the step 1 to a data processing and evaluating system for data preprocessing, processing the photo shot by the unmanned aerial vehicle by an image recognition module to acquire crack width parameters, processing sensor signals by the data processing and classifying and storing the data of the acquisition system, performing specific data management classified storage work, and collecting and storing static and dynamic bridge data of the acquisition system in real time; transmitting the data to a bridge modeling information module and a calculation evaluation module;
step 3, the bridge modeling module establishes a bridge finite element model for calculating bridge strain and deflection information, establishes a bridge information base and stores bridge information;
step 4, the data calculation evaluation module carries out bridge durability evaluation, bridge bearing capacity evaluation and bridge residual life prediction based on the data and the model obtained in the step 2 and the step 3;
and 5, performing bridge technical index state evaluation, bridge member technical state evaluation and bridge overall technical state evaluation by the user interface terminal to complete highway bridge state evaluation.
8. The method according to claim 7, wherein in step 4, the bridge durability evaluation is divided into a target layer, a project layer and an index layer; obtaining an actual measurement value of an evaluation index of a bridge to be evaluated according to the bridge durability evaluation index system, obtaining an unknown measure function curve corresponding to an evaluation grade, and determining the weight of the durability index by using a hierarchical analysis method; and calculating an unknown measure function value of the evaluation index, and determining an overall evaluation result of the bridge durability through weighting treatment.
9. The method according to claim 7, wherein in step 4, the bridge bearing capacity assessment includes the steps of obtaining a crack index coefficient according to the crack characteristic data in the data of step 2, introducing a section deterioration coefficient, a bearing capacity deterioration coefficient, and a bearing capacity check coefficient under the crack index for bridge bearing capacity assessment.
10. The method according to claim 7, further comprising the step of archiving the evaluation data to generate an evaluation report, managing the bridge information, the maintenance record and the log, and completing the evaluation of the highway bridge status in step 5.
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| CN117705800A (en) * | 2023-11-23 | 2024-03-15 | 华南理工大学 | Mechanical arm vision bridge detection system based on guide rail sliding and control method thereof |
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| CN117705800A (en) * | 2023-11-23 | 2024-03-15 | 华南理工大学 | Mechanical arm vision bridge detection system based on guide rail sliding and control method thereof |
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