A cable-stayed bridge cable force optimization method and system

Abstract

The present invention provides a cable-stayed bridge cable force optimization method and system, wherein the method comprises: constructing a finite element model of the cable-stayed bridge; analyzing the finite element model to determine cable force configuration data; updating the finite element model according to construction monitoring data; and updating the cable force configuration data according to the updated finite element model. The cable-stayed bridge cable force optimization method of the present invention realizes the cable force configuration optimization during the construction process of the cable-stayed bridge.

Description

Technical Field

[0001] The invention relates to the technical field of cable-stayed bridge construction, and in particular to a cable force optimization method and system for a cable-stayed bridge. Background Art

[0002] A cable-stayed bridge, also known as a cable-stayed bridge, is a bridge in which the main beam is directly pulled on the bridge tower by many cables. It is a structural system composed of a pressure-bearing tower, a tensioned cable and a bending beam. It can be regarded as a multi-span elastically supported continuous beam with cables replacing piers. It can reduce the bending moment in the beam body, lower the building height, reduce the structural weight and save materials. A cable-stayed bridge is mainly composed of a cable tower, a main beam and a cable.

[0003] The cable-stayed bridge structure is a highly hyperstatic structure in mechanics and is the most complex structure among all bridge types. Due to the different cable forces and construction methods, the final stress state of the bridge will be significantly different. Therefore, in the stress analysis of the cable-stayed bridge structure, the first task is to determine the reasonable state of the bridge so that the stress of the bridge structure is uniform, and then determine the reasonable construction state.

[0004] The optimization of cable force configuration runs through the construction of cable-stayed bridges and directly affects the construction results of cable-stayed bridges. Summary of the invention

[0005] One of the purposes of the present invention is to provide a cable-stayed bridge cable force optimization method and system, so as to optimize the cable force configuration during the construction of the cable-stayed bridge, determine a reasonable bridge state so that the bridge structure is evenly stressed, and then determine a reasonable construction state.

[0006] An embodiment of the present invention provides a cable-stayed bridge cable force optimization method, comprising:

[0007] Construct finite element models of cable-stayed bridges;

[0008] Analyze the finite element model and determine the cable force configuration data;

[0009] Update the finite element model based on construction monitoring data;

[0010] The cable force configuration data is updated based on the updated finite element model.

[0011] Preferably, the steps of constructing the finite element model are as follows:

[0012] Determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units;

[0013] Configure the parameters of the finite element elements.

[0014] Preferably, the analysis steps of the finite element model are as follows:

[0015] The cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge;

[0016] Extract the parameters of the finite element unit of the influence area corresponding to each numbered cable;

[0017] Based on the extracted parameters, construct the analysis data set;

[0018] The corresponding cable force configuration data are retrieved from a pre-configured cable force configuration analysis database according to the analysis data set.

[0019] Preferably, the updating steps of the finite element model are as follows:

[0020] Analyze construction monitoring data and determine the inspection data of the constructed cable-stayed bridge;

[0021] Based on the test data, the parameters of the finite element unit are adjusted.

[0022] Preferably, the updating steps of the cable force configuration data are as follows:

[0023] Re-extract the parameters of the finite element units of the influence area corresponding to each numbered cable;

[0024] Construct an optimized data set based on the extracted parameters and the cable force data of the set inclined cables;

[0025] The corresponding optimized cable force configuration data is retrieved from a pre-configured cable force configuration optimization library according to the optimization data set.

[0026] A cable-stayed bridge cable force optimization system of the present invention comprises: a construction module, an analysis module and an update module; wherein the construction module constructs a finite element model of the cable-stayed bridge; the analysis module analyzes the finite element model to determine cable force configuration data; the update module updates the finite element model according to construction monitoring data and updates the cable force configuration data according to the updated finite element model.

[0027] Preferably, the steps of constructing the building blocks include:

[0028] Determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units;

[0029] Configure the parameters of the finite element elements.

[0030] Preferably, the analysis step of the analysis module includes:

[0031] The cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge;

[0032] Extract the parameters of the finite element unit of the influence area corresponding to each numbered cable;

[0033] Based on the extracted parameters, construct the analysis data set;

[0034] The corresponding cable force configuration data are retrieved from a pre-configured cable force configuration analysis database according to the analysis data set.

[0035] Preferably, the updating step of the update module includes:

[0036] Analyze construction monitoring data and determine the inspection data of the constructed cable-stayed bridge;

[0037] Based on the test data, the parameters of the finite element unit are adjusted.

[0038] Preferably, the updating step of the updating module further includes:

[0039] Re-extract the parameters of the finite element units of the influence area corresponding to each numbered cable;

[0040] Construct an optimized data set based on the extracted parameters and the cable force data of the set inclined cables;

[0041] The corresponding optimized cable force configuration data is retrieved from a pre-configured cable force configuration optimization library according to the optimization data set.

[0042] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 Schematic diagram of a cable-stayed bridge cable force optimization method according to an embodiment of the present invention;

[0046] Figure 2 Schematic diagram of a cable force optimization system for a cable-stayed bridge in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0048] The embodiment of the present invention provides a cable-stayed bridge cable force optimization method, such as Figure 1 As shown, including:

[0049] Step 1: Construct a finite element model of the cable-stayed bridge;

[0050] The use of finite element models can better analyze the forces of cable-stayed bridges. The steps for constructing finite element models are as follows: determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units; configure the parameters of the finite element units. Among them, the three-dimensional model is constructed based on the design parameters of the cable-stayed bridge, and the corresponding model is constructed and spliced ​​according to the parameters of each component of the cable-stayed bridge; when the finite element is segmented, the plane where each surface of each spliced ​​component is located is used as the finite element segmentation plane; when the length, width, and height of the component are greater than the corresponding preset threshold, the preset threshold is used for segmentation to determine the finite element segmentation plane; the parameters of the configured finite element unit include: the size parameters, weight parameters, tensile parameters, anti-extrusion parameters, etc. of the segmentation area corresponding to the three-dimensional model corresponding to the finite element unit;

[0051] Step 2: Analyze the finite element model to determine the cable force configuration data;

[0052] The analysis steps of the finite element model are as follows: the cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge; the parameters of the finite element units of the influence area corresponding to each numbered cable are extracted; based on the extracted parameters, an analysis data set is constructed; based on the analysis data set, the corresponding cable force configuration data is retrieved from the pre-configured cable force configuration analysis database. For example: the lowest cable is numbered 1, and then numbered upwards in sequence; the influence area is the area where the two ends of the cable are connected, so the influence area of ​​each cable has two parts, namely the area connected at both ends, and the influence area of ​​cable No. 1 is the area of ​​the midpoint of the line connecting the left and right sides of the tower to the fixed position of cable No. 1 and the fixed position of cable No. 2, respectively. The extracted parameters are the weight parameters of each finite element unit in the influence area, the angle between the cable and the influence area, the angle between the tower and the cable, etc.; each row of data in the analysis data set represents the data corresponding to a cable; the cable force configuration analysis database is analyzed and configured by professionals in advance, and the analysis data set and the cable force configuration data are associated one-to-one in the cable force configuration analysis database;

[0053] Step 3: Update the finite element model based on the construction monitoring data;

[0054] The steps for updating the finite element model are as follows: Analyze the construction monitoring data to determine the inspection data of the cable-stayed bridge that has been constructed; adjust the parameters of the finite element unit based on the inspection data. During the construction of the cable-stayed bridge, the construction progress is monitored by real-time monitoring means to form construction monitoring data. By analyzing the construction monitoring data, the inspection data of the cable-stayed bridge that has been constructed is extracted, and then the parameters of the finite element unit are updated and adjusted on this basis. Among them, the inspection data includes: the size parameters and material density parameters of the constructed part of the cable-stayed bridge, and the updated and adjusted parameters include: size parameters and weight parameters;

[0055] Step 4: updating the cable force configuration data based on the updated finite element model;

[0056] The updating steps of cable force configuration data are as follows: re-extract the parameters of the finite element unit of the influence area corresponding to each numbered cable; construct an optimization data set based on the extracted parameters and the cable force data of the set cable; retrieve the corresponding optimized cable force configuration data from the pre-configured cable force configuration optimization library based on the optimization data set. Among them, each row in the optimization data set corresponds to the data of a cable, and the actual monitoring value of the corresponding cable force data of the constructed cable is used as the last data of the corresponding row in the optimization data set, and the unconstructed cable is filled with the pre-configured filling value; the cable force configuration optimization library is also analyzed and constructed by professionals in advance, and the optimization data set in the library is associated with the cable force configuration data one by one.

[0057] The cable force optimization method of the cable-stayed bridge of the present invention constructs a finite element model of the cable-stayed bridge, and then analyzes and realizes the determination of the cable force configuration data. During the construction process, the construction is monitored in real time, and the update analysis is performed to realize the real-time adjustment of the cable force configuration data, thereby realizing the configuration optimization of the cable force of the cable-stayed cable.

[0058] The accuracy of the construction of the cable force analysis database is directly related to the accuracy of the optimization of the cable force configuration data; in one embodiment, the analysis data source of the cable force configuration analysis database is the cable force detection data of the existing cable-stayed bridge and the detection data of the cable-stayed bridge, so as to construct the finite element unit, and then construct the analysis data set according to the construction method of the classification data set, and obtain the cable force configuration data after the cable force detection data is analyzed and adjusted by professionals; the cable force configuration data and the analysis data set are correspondingly associated to form the cable force configuration analysis data set;

[0059] The construction method of the Soli optimization database is similar and will not be explained here.

[0060] Due to the limited number of existing cable-stayed bridges, the data items in the constructed cable force configuration analysis database and cable force optimization database are also limited. In order to enrich the data, after the cable-stayed bridge is constructed in proportion, the monitoring data during the model construction process and the subsequent usage data can be used to enrich the analysis data used to analyze and construct the cable force analysis database. The model construction can be 100:1; the same type of model can be constructed separately using multiple cable force configuration methods and data.

[0061] In one embodiment, the cable-stayed bridge cable force optimization method further includes:

[0062] During the update and optimization, the optimization scheme solicitation task is generated and released based on the construction monitoring data, finite element model, and cable force configuration data of the cable-stayed bridge;

[0063] Receive optimized configuration solutions from various pre-configured expert personnel;

[0064] Filter and group the optimized configuration solutions to obtain multiple representative solutions;

[0065] Determine the first credibility of each representative program;

[0066] Conducting credibility evaluation on the cable force configuration data determined according to the cable force optimization database to determine a second credibility;

[0067] When the first credibility is greater than or equal to the second credibility, the representative scheme corresponding to the first credibility is used as the final configuration scheme; otherwise, the cable force configuration data corresponding to the second credibility is used as the final configuration scheme;

[0068] Among them, construct the identification vector corresponding to each optimization configuration scheme; calculate the similarity between each optimization configuration scheme according to the identification vector, wherein the similarity is the similarity value calculated by the identification vector according to the cosine similarity calculation method; group the optimization configuration schemes with similarity greater than the preset similarity threshold, and take the optimization configuration scheme with the largest sum of similarities as the representative scheme; the corresponding first credibility is the sum of the authority scores of the providers of each optimization configuration scheme in the group where the representative scheme is located; the evaluation rule of the second credibility is obtained by: according to the similarity between the optimization data set constructed in the process of retrieving from the cable force optimization library and the optimization data set in the cable force optimization library, the source of the cable force configuration data, and the usage of the subject corresponding to the source, query the pre-configured second credibility table to determine the second credibility. Among them, the source includes: actual cable-stayed bridge, simulation model, etc.; the evaluation of the usage is to obtain the historical detection data of the cable-stayed bridge (tensile stress data of each monitoring part, deformation data of each component, etc.), input the data into the pre-trained converged neural network model, and obtain the corresponding evaluation value.

[0069] In one embodiment, the cable-stayed bridge cable force optimization method further includes:

[0070] Before updating the finite element model, analyze the construction monitoring data and determine whether to perform optimization analysis based on the analysis results;

[0071] The specific analysis steps are as follows:

[0072] Extract features from the construction monitoring data and construct an evaluation parameter set based on the extracted feature parameters; evaluate the construction according to the evaluation parameter set and a pre-configured evaluation library to obtain an evaluation value; when the evaluation value is greater than a pre-configured evaluation threshold, the cable force configuration data is not updated;

[0073] This embodiment analyzes the actual construction situation to determine whether to update, thereby avoiding the waste of system computing power caused by frequent updates;

[0074] Among them, the evaluation parameter set includes: parameters representing the size difference data of each part of the construction, parameters representing the material density difference data of each part, etc.; the evaluation parameter set and the evaluation value in the evaluation library are one-to-one associated, and the evaluation library is analyzed and constructed in advance by professionals.

[0075] The present application adopts finite element analysis to perform cable force analysis and optimization of a cable-stayed bridge, so the accuracy of the finite element update process is particularly important; in one embodiment, the cable force optimization method of a cable-stayed bridge further includes:

[0076] Obtain video data of video monitoring of the construction site, analyze the monitoring video data, verify the construction monitoring data based on the analysis results, and directly perform finite element update when the verification passes; when the verification fails, output warning information, and perform finite element update after analysis and confirmation by professionals; the construction monitoring data can be modified when professionals perform analysis and confirmation;

[0077] Among them, the video during the last update and the current update is intercepted, the feature extraction of the video image is performed, and the data analysis set is constructed based on the extracted features; then the analysis data corresponding to the data analysis set in the preset analysis library is retrieved; the analysis data is compared with the corresponding data in the construction monitoring data, and when the ratio between the data difference and the total data value is greater than the preset allowable error range, the verification fails; wherein, the feature extraction of the video image includes: identifying the personnel in the video image and obtaining the staff data; and / or, identifying the materials associated with the personnel in the video and obtaining the material data; and / or, identifying the engineering equipment in the video and obtaining the equipment usage data, and the usage data includes the usage time, usage trajectory, etc.;

[0078] In addition, the range corresponding to the monitoring data can be determined through the updated finite element information according to the pre-configured finite element parameters and the monitoring data correspondence library, and then the monitoring data can be verified through the derived range to detect abnormalities.

[0079] In order to achieve an intuitive understanding of the potential risks of updating the cable force configuration data during the optimization process, in one embodiment, the cable force optimization method for a cable-stayed bridge further includes:

[0080] Analyze the final configuration plan to determine whether it is the optimal configuration plan of the experts recruited or the cable force configuration data determined based on the cable force optimization database;

[0081] When it is an optimal configuration scheme of the collected expert personnel, the ratio of the credit value of each expert personnel end of the optimal configuration scheme similar to the final configuration scheme to the total credit value is counted; the preset first scoring value table is queried to determine the first scoring value; the first scoring value and the ratio in the first scoring value are associated one-to-one; the credit value of each expert personnel end is to analyze and configure the capabilities and behaviors of the personnel on the expert personnel end in advance;

[0082] According to the similarity between the final configuration scheme and the cable force configuration data determined according to the cable force optimization database, a preset second scoring value table is queried to determine the second scoring value; the similarity can be calculated by a cosine similarity calculation method; the second scoring value in the second scoring value table is associated with the similarity in a one-to-one correspondence;

[0083] According to the time difference between the current configuration and the previous N configurations, a time vector is constructed; a pre-configured third scoring value table is queried through the time vector to determine the third scoring value; the time vector is obtained by arranging the time differences in sequence; the time vectors in the third scoring value table are associated with the third scoring values ​​in a one-to-one correspondence;

[0084] Extracting features from the verification data of the construction monitoring data, and determining a fourth scoring value from a preset fourth scoring value library based on the extracted feature set; the data in the feature set is the difference between each item of each construction monitoring data and the standard verification data; the fourth scoring value library is pre-configured, and the fourth scoring value and the feature set are associated one-to-one in the library;

[0085] The sum of the products of the first score value, the second score value, the third score value and the fourth score value and their corresponding weight coefficients is used as the risk assessment value;

[0086] When the risk assessment value is greater than or equal to the preset first threshold, a warning message is output; optimization can be performed only after analysis and confirmation by professionals;

[0087] When the cable force configuration data is determined based on the cable force optimization database, the ratio of the credit value of each expert end of the optimization configuration scheme similar to the final configuration scheme to the total credit value is counted; the preset first scoring value table is queried to determine the first scoring value; the first scoring value and the ratio are associated one-to-one in the first scoring value; the credit value of each expert end is configured by analyzing the capabilities and behaviors of the personnel on the expert end in advance;

[0088] According to the time difference between the current configuration and the previous N configurations, a time vector is constructed; a pre-configured third scoring value table is queried through the time vector to determine the third scoring value; the time vector is obtained by arranging the time differences in sequence; the time vectors in the third scoring value table are associated with the third scoring values ​​in a one-to-one correspondence;

[0089] Extracting features from the verification data of the construction monitoring data, and determining a fourth scoring value from a preset fourth scoring value library based on the extracted feature set; the data in the feature set is the difference between each item of each construction monitoring data and the standard verification data; the fourth scoring value library is pre-configured, and the fourth scoring value and the feature set are associated one-to-one in the library;

[0090] The sum of the products of the first score value, the third score value and the fourth score value and their corresponding weight coefficients is used as the risk assessment value; the optimal configuration scheme of the expert personnel collected and the cable force configuration data determined according to the cable force optimization database use different values ​​of weight coefficients in risk assessment;

[0091] When the risk assessment value is greater than or equal to the preset second threshold, a warning message is output; optimization can only be performed after analysis and confirmation by professionals.

[0092] A cable-stayed bridge cable force optimization system of the present invention, such as Figure 2 As shown, it includes: a construction module 1, an analysis module 2 and an update module 3; wherein the construction module 1 constructs a finite element model of a cable-stayed bridge; the analysis module 2 analyzes the finite element model to determine the cable force configuration data; the update module 3 updates the finite element model according to the construction monitoring data and updates the cable force configuration data according to the updated finite element model.

[0093] Among them, the construction steps of building module 1 to build a finite element model are as follows:

[0094] Determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units;

[0095] Configure the parameters of the finite element elements.

[0096] The analysis steps of the finite element model analyzed by the analysis module 2 are as follows:

[0097] The cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge;

[0098] Extract the parameters of the finite element unit of the influence area corresponding to each numbered cable;

[0099] Based on the extracted parameters, construct the analysis data set;

[0100] The corresponding cable force configuration data are retrieved from a pre-configured cable force configuration analysis database according to the analysis data set.

[0101] Among them, the updating steps of updating module 3 to update the finite element model are as follows:

[0102] Analyze construction monitoring data and determine the inspection data of the constructed cable-stayed bridge;

[0103] Based on the test data, the parameters of the finite element unit are adjusted.

[0104] Among them, the updating steps of updating the cable force configuration data by the updating module 3 are as follows:

[0105] Re-extract the parameters of the finite element units of the influence area corresponding to each numbered cable;

[0106] Construct an optimized data set based on the extracted parameters and the cable force data of the set inclined cables;

[0107] The corresponding optimized cable force configuration data is retrieved from a pre-configured cable force configuration optimization library according to the optimization data set.

[0108] In one embodiment, the cable-stayed bridge cable force optimization system further includes: a collection module and a selection module;

[0109] The solicitation module performs the following operations:

[0110] During the update and optimization, the optimization scheme solicitation task is generated and released based on the construction monitoring data, finite element model, and cable force configuration data of the cable-stayed bridge;

[0111] Receive optimized configuration solutions from various pre-configured expert personnel;

[0112] Select the module to perform the following operations:

[0113] Filter and group the optimized configuration solutions to obtain multiple representative solutions;

[0114] Determine the first credibility of each representative program;

[0115] Conducting credibility evaluation on the cable force configuration data determined according to the cable force optimization database to determine a second credibility;

[0116] When the first credibility is greater than or equal to the second credibility, the representative scheme corresponding to the first credibility is used as the final configuration scheme; otherwise, the cable force configuration data corresponding to the second credibility is used as the final configuration scheme;

[0117] Among them, construct the identification vector corresponding to each optimization configuration scheme; calculate the similarity between each optimization configuration scheme according to the identification vector, wherein the similarity is the similarity value calculated by the identification vector according to the cosine similarity calculation method; group the optimization configuration schemes with similarity greater than the preset similarity threshold, and take the optimization configuration scheme with the largest sum of similarities as the representative scheme; the corresponding first credibility is the sum of the authority scores of the providers of each optimization configuration scheme in the group where the representative scheme is located; the evaluation rule of the second credibility is obtained by: according to the similarity between the optimization data set constructed in the process of retrieving from the cable force optimization library and the optimization data set in the cable force optimization library, the source of the cable force configuration data, and the usage of the subject corresponding to the source, query the pre-configured second credibility table to determine the second credibility. Among them, the source includes: actual cable-stayed bridge, simulation model, etc.; the evaluation of the usage is to obtain the historical detection data of the cable-stayed bridge (tensile stress data of each monitoring part, deformation data of each component, etc.), input the data into the pre-trained converged neural network model, and obtain the corresponding evaluation value.

[0118] In one embodiment, the cable-stayed bridge cable force optimization system further includes: a judgment module;

[0119] The judgment module performs the following operations:

[0120] Before updating the finite element model, analyze the construction monitoring data and determine whether to perform optimization analysis based on the analysis results;

[0121] The specific analysis steps are as follows:

[0122] Extract features from the construction monitoring data and construct an evaluation parameter set based on the extracted feature parameters; evaluate the construction according to the evaluation parameter set and a pre-configured evaluation library to obtain an evaluation value; when the evaluation value is greater than a pre-configured evaluation threshold, the cable force configuration data is not updated;

[0123] This embodiment analyzes the actual construction situation to determine whether to update, thereby avoiding the waste of system computing power caused by frequent updates;

[0124] Among them, the evaluation parameter set includes: parameters representing the size difference data of each part of the construction, parameters representing the material density difference data of each part, etc.; the evaluation parameter set and the evaluation value in the evaluation library are one-to-one associated, and the evaluation library is analyzed and constructed in advance by professionals.

[0125] In order to achieve an intuitive understanding of the potential risks of updating the cable force configuration data during the optimization process, in one embodiment, the cable force optimization system for a cable-stayed bridge further includes: a risk assessment module;

[0126] The risk assessment module performs the following operations:

[0127] Analyze the final configuration plan to determine whether it is the optimal configuration plan of the collected experts or the cable force configuration data determined based on the cable force optimization database;

[0128] When the optimal configuration scheme of the expert end is collected, the ratio of the credit value of each expert end of the optimal configuration scheme similar to the final configuration scheme to the total credit value is counted; the preset first scoring value table is queried to determine the first scoring value; the first scoring value and the ratio are associated one-to-one in the first scoring value; the credit value of each expert end is configured by analyzing the capabilities and behaviors of the personnel on the expert end in advance;

[0129] According to the similarity between the final configuration scheme and the cable force configuration data determined according to the cable force optimization database, a preset second scoring value table is queried to determine the second scoring value; the similarity can be calculated by a cosine similarity calculation method; the second scoring value in the second scoring value table is associated with the similarity in a one-to-one correspondence;

[0130] According to the time difference between the current configuration and the previous N configurations, a time vector is constructed; a pre-configured third scoring value table is queried through the time vector to determine the third scoring value; the time vector is obtained by arranging the time differences in sequence; the time vectors in the third scoring value table are associated with the third scoring values ​​in a one-to-one correspondence;

[0131] Extracting features from the verification data of the construction monitoring data, and determining a fourth scoring value from a preset fourth scoring value library based on the extracted feature set; the data in the feature set is the difference between each item of each construction monitoring data and the standard verification data; the fourth scoring value library is pre-configured, and the fourth scoring value and the feature set are associated one-to-one in the library;

[0132] The sum of the products of the first score value, the second score value, the third score value and the fourth score value and their corresponding weight coefficients is used as the risk assessment value;

[0133] When the risk assessment value is greater than or equal to the preset first threshold, a warning message is output; optimization can be performed only after analysis and confirmation by professionals;

[0134] When the cable force configuration data determined according to the cable force optimization database is used, the ratio of the credit value of each expert end of the optimization configuration scheme similar to the final configuration scheme to the total credit value is counted; the preset first scoring value table is queried to determine the first scoring value; the first scoring value and the ratio are associated one-to-one in the first scoring value; the credit value of each expert end is configured by analyzing the capabilities and behaviors of the personnel on the expert end in advance;

[0135] According to the time difference between the current configuration and the previous N configurations, a time vector is constructed; a pre-configured third scoring value table is queried through the time vector to determine the third scoring value; the time vector is obtained by arranging the time differences in sequence; the time vectors in the third scoring value table are associated with the third scoring values ​​in a one-to-one correspondence;

[0136] Extracting features from the verification data of the construction monitoring data, and determining a fourth scoring value from a preset fourth scoring value library based on the extracted feature set; the data in the feature set is the difference between each item of each construction monitoring data and the standard verification data; the fourth scoring value library is pre-configured, and the fourth scoring value and the feature set are associated one-to-one in the library;

[0137] The sum of the products of the first score value, the third score value and the fourth score value and their corresponding weight coefficients is used as the risk assessment value; the optimal configuration scheme of the expert personnel collected and the cable force configuration data determined according to the cable force optimization database use different values ​​of weight coefficients in risk assessment;

[0138] When the risk assessment value is greater than or equal to the preset second threshold, a warning message is output; optimization can only be performed after analysis and confirmation by professionals.

[0139] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A cable-stayed bridge cable force optimization method, characterized in that: include: Construct finite element models of cable-stayed bridges; Analyze the finite element model and determine the cable force configuration data; Update the finite element model based on construction monitoring data; Update the cable force configuration data based on the updated finite element model; During the update and optimization, the optimization scheme solicitation task is generated and released based on the construction monitoring data, finite element model, and cable force configuration data of the cable-stayed bridge; Receive optimized configuration solutions from various pre-configured expert personnel; Filter and group the optimized configuration solutions to obtain multiple representative solutions; Determine the first credibility of each representative program; Conducting credibility evaluation on the cable force configuration data determined according to the cable force optimization database to determine a second credibility; When the first credibility is greater than or equal to the second credibility, the representative solution corresponding to the first credibility is used as the final configuration solution; Otherwise, the cable force configuration data corresponding to the second credibility is used as the final configuration scheme; Before updating the finite element model, analyze the construction monitoring data and determine whether to perform optimization analysis based on the analysis results; The specific analysis steps are as follows: Feature extraction is performed on the construction monitoring data and an evaluation parameter set is constructed based on the extracted feature parameters; the construction is evaluated based on the evaluation parameter set and a pre-configured evaluation library to obtain an evaluation value; when the evaluation value is greater than a pre-configured evaluation threshold, the cable force configuration data is not updated.

2. The cable force optimization method for a cable-stayed bridge according to claim 1, characterized in that: The steps for constructing the finite element model are as follows: Determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units; Configure the parameters of the finite element elements.

3. The cable force optimization method for a cable-stayed bridge according to claim 1, characterized in that: The analysis steps of the finite element model are as follows: The cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge; Extract the parameters of the finite element unit of the influence area corresponding to each numbered inclined cable; Based on the extracted parameters, construct the analysis data set; The corresponding cable force configuration data are retrieved from a pre-configured cable force configuration analysis database according to the analysis data set.

4. The cable force optimization method for a cable-stayed bridge according to claim 1, characterized in that: The steps to update the finite element model are as follows: Analyze construction monitoring data and determine the inspection data of the constructed cable-stayed bridge; Based on the test data, the parameters of the finite element unit are adjusted.

5. The cable force optimization method for a cable-stayed bridge according to claim 1, characterized in that: The steps to update the cable force configuration data are as follows: Re-extract the parameters of the finite element units of the influence area corresponding to each numbered inclined cable; Construct an optimized data set based on the extracted parameters and the cable force data of the set inclined cables; The corresponding optimized cable force configuration data is retrieved from a pre-configured cable force configuration optimization library according to the optimization data set.

6. A cable force optimization system for a cable-stayed bridge, characterized in that: include: A construction module, an analysis module and an update module; wherein the construction module constructs a finite element model of a cable-stayed bridge; the analysis module analyzes the finite element model to determine the cable force configuration data; the update module updates the finite element model based on the construction monitoring data and updates the cable force configuration data based on the updated finite element model; It also includes: a collection module, a selection module and a judgment module; The solicitation module performs the following operations: During the update and optimization, the optimization scheme solicitation task is generated and released based on the construction monitoring data, finite element model, and cable force configuration data of the cable-stayed bridge; Receive optimized configuration solutions from various pre-configured expert personnel; Select the module to perform the following operations: Filter and group the optimized configuration solutions to obtain multiple representative solutions; Determine the first credibility of each representative program; Conducting credibility evaluation on the cable force configuration data determined according to the cable force optimization database to determine a second credibility; When the first credibility is greater than or equal to the second credibility, the representative scheme corresponding to the first credibility is used as the final configuration scheme; otherwise, the cable force configuration data corresponding to the second credibility is used as the final configuration scheme; The judgment module performs the following operations: Before updating the finite element model, analyze the construction monitoring data and determine whether to perform optimization analysis based on the analysis results; The specific analysis steps are as follows: Feature extraction is performed on the construction monitoring data and an evaluation parameter set is constructed based on the extracted feature parameters; the construction is evaluated based on the evaluation parameter set and a pre-configured evaluation library to obtain an evaluation value; when the evaluation value is greater than a pre-configured evaluation threshold, the cable force configuration data is not updated.

7. The cable force optimization system for a cable-stayed bridge according to claim 6, characterized in that: The build steps for building a module include: Determine the finite element segmentation plane in the three-dimensional model of the cable-stayed bridge and perform finite element segmentation to obtain finite element units; Configure the parameters of the finite element elements.

8. The cable force optimization system for a cable-stayed bridge according to claim 6, characterized in that: The analysis steps of the analysis module include: The cables are numbered according to their upper and lower positions on the towers of the cable-stayed bridge; Extract the parameters of the finite element unit of the influence area corresponding to each numbered inclined cable; Based on the extracted parameters, construct the analysis data set; The corresponding cable force configuration data are retrieved from a pre-configured cable force configuration analysis database according to the analysis data set.

9. The cable force optimization system for a cable-stayed bridge according to claim 6, characterized in that: The update steps for the update module include: Analyze construction monitoring data and determine the inspection data of the constructed cable-stayed bridge; Based on the test data, the parameters of the finite element unit are adjusted.

10. The cable force optimization system for a cable-stayed bridge according to claim 6, characterized in that: The update steps of the update module also include: Re-extract the parameters of the finite element units of the influence area corresponding to each numbered inclined cable; Construct an optimized data set based on the extracted parameters and the cable force data of the set inclined cables; The corresponding optimized cable force configuration data is retrieved from a pre-configured cable force configuration optimization library according to the optimization data set.

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