Bridge degradation degree determination method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a bridge degradation degree determination method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: constructing a bridge technical state degradation curve according to a historical evaluation result of technical state evaluation for each bridge and bridge age information of each bridge; constructing a target degradation curve according to the target degradation data of the target bridge; scaling the target degradation curve on the basis of the first ratio so as to enable the target degradation curve to at least partially coincide with the bridge technical state degradation curve, and correcting the target degradation curve on the basis of the bridge technical state degradation curve to obtain a first curve; scaling the first curve based on the second ratio to obtain a second curve; determining a third curve according to the updated target degradation data and the second curve; and determining the degradation degree of the target bridge according to the third curve. By adopting the method, the degradation degree of the bridge can be determined more accurately.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bridges, in particular to a bridge deterioration degree determination method and device, computer equipment, computer readable storage medium and computer program product. BACKGROUND

[0002] Bridge deterioration degree refers to the degree of performance decline of bridge structures and their components over time due to various factors such as natural environment, load action, material aging, etc. By determining the bridge deterioration degree, the safe use, management and maintenance of the bridge can be served. However, the accuracy of the related art for determining the bridge deterioration degree is not good. SUMMARY

[0003] Therefore, it is necessary to provide a bridge deterioration degree determination method, device, computer equipment, computer readable storage medium and computer program product to improve the accuracy of bridge deterioration degree determination.

[0004] In a first aspect, the present application provides a bridge deterioration degree determination method, comprising:

[0005] Obtaining historical data of a plurality of bridges, the historical data comprising historical evaluation results of technical state evaluation for each bridge, and bridge age information of each bridge;

[0006] According to the historical evaluation results and the bridge age information, a bridge technical state deterioration curve is constructed;

[0007] Obtaining target deterioration data for a target bridge; wherein the similarity between the bridge structure of the target bridge and the bridge structure of each bridge is greater than a first similarity, and the similarity between the bridge material of the target bridge and the bridge material of each bridge is greater than a second similarity;

[0008] According to the target deterioration data, a target deterioration curve is constructed;

[0009] Based on the first ratio, the target deterioration curve is scaled to make the target deterioration curve at least partially coincide with the bridge technical state deterioration curve, and the target deterioration curve is corrected based on the bridge technical state deterioration curve to obtain a first curve;

[0010] Based on the second ratio, the first curve is scaled to obtain a second curve; wherein the product of the second ratio and the first ratio is 1;

[0011] Updating the target deterioration data based on a preset bridge detection device;

[0012] According to the updated target deterioration data and the second curve, a third curve is determined;

[0013] According to the third curve, the deterioration degree of the target bridge is determined.

[0014] In one of the embodiments, according to the third curve, the deterioration degree of the target bridge is determined, including:

[0015] determining a line type similarity between a line type of the third curve and a line type of the bridge technical state deterioration curve;

[0016] in a case that the line type similarity is greater than a preset line type similarity, determining the deterioration degree of the target bridge according to the third curve;

[0017] in a case that the line type similarity is less than or equal to the preset line type similarity, determining that the updated target deterioration data is abnormal.

[0018] In one of the embodiments, the third curve is determined based on the updated target deterioration data and the second curve, including:

[0019] determining, according to the updated target deterioration data, a bridge disease type to which the target bridge belongs as a target disease type; wherein the bridge disease type includes at least one of the following: transverse crack, vertical crack, longitudinal crack, diagonal crack, surface damage, honeycomb, pitting, surface loose and hole;

[0020] determining, from preset disease influence factors, a disease influence factor corresponding to the target disease type as a target disease influence factor; the disease influence factor is determined based on an evaluation score of a historical evaluation result corresponding to the bridge disease type;

[0021] determining the third curve according to the target disease influence factor and the second curve.

[0022] In one of the embodiments, the bridge deterioration degree determination method further includes:

[0023] determining bridge disease information of each bridge, the bridge disease information including a bridge disease type and a bridge disease position;

[0024] determining, in a case that the same bridge disease type and different bridge disease positions, evaluation scores of historical evaluation results corresponding to each bridge;

[0025] determining the disease influence factor according to a change of the evaluation scores of the historical evaluation results corresponding to each bridge.

[0026] In one of the embodiments, the first curve is scaled based on the second ratio to obtain the second curve, including:

[0027] scaling the first curve based on the second ratio to obtain a scaled curve;

[0028] determining a target curve part in the scaled curve corresponding to the target deterioration curve.

[0029] remove a target curve part in the scaling curve to obtain a second curve.

[0030] In one of the embodiments, the target deterioration curve is constructed according to the target deterioration data, including:

[0031] The target bridge is technically evaluated based on the target deterioration data to obtain a target evaluation result of the target bridge.

[0032] The target deterioration curve is constructed according to the plurality of target evaluation results and the bridge age information of the target bridge corresponding to each target evaluation result.

[0033] In a second aspect, the present application further provides a bridge deterioration degree determination device, including:

[0034] The first construction module is configured to acquire historical data of a plurality of bridges, the historical data including historical evaluation results of technical state evaluation of each bridge and bridge age information of each bridge; and construct a bridge technical state deterioration curve according to the historical evaluation results and the bridge age information.

[0035] The second construction module is configured to acquire target deterioration data of a target bridge; wherein a similarity between a bridge structure of the target bridge and bridge structures of each bridge is greater than a first similarity, and a similarity between a bridge material of the target bridge and bridge materials of each bridge is greater than a second similarity; and construct a target deterioration curve according to the target deterioration data.

[0036] The curve determination module is configured to scale the target deterioration curve based on a first ratio to make the target deterioration curve at least partially coincide with the bridge technical state deterioration curve, and correct the target deterioration curve based on the bridge technical state deterioration curve to obtain a first curve; scale the first curve based on a second ratio to obtain a second curve; wherein a product of the second ratio and the first ratio is 1; update the target deterioration data based on a preset bridge detection device; and determine a third curve according to the updated target deterioration data and the second curve.

[0037] The deterioration determination module is configured to determine a deterioration degree of the target bridge according to the third curve.

[0038] In a third aspect, the present application further provides a computer device, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method in the first aspect when executing the computer program.

[0039] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method in the first aspect.

[0040] In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method according to the first aspect.

[0041] The bridge deterioration degree determination method, device, computer device, computer readable storage medium and computer program product can predict the deterioration degree of the target bridge by referring to the historical service conditions of the bridges of different ages. Specifically, the bridge technical state deterioration curve is constructed by using the historical data of the bridges of different ages. The consistency between the target deterioration curve of the target bridge and the bridge technical state deterioration curve is ensured by scaling, and the target deterioration curve and the bridge technical state deterioration curve at least partially coincide with each other. Therefore, the bridge technical state deterioration curve can be used to correct the target deterioration curve, and then the second curve is obtained by inverse scaling, that is, restoration. The second curve can more accurately reflect the technical state deterioration of the target bridge by referring to the historical service conditions of the bridges. In addition, the third curve can more accurately and timely reflect the actual technical state deterioration of the target bridge based on the updated target deterioration data and the second curve. Therefore, the deterioration degree of the target bridge can be more accurately determined based on the third curve. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without any creative effort.

[0043] Figure 1 An application environment diagram of the bridge deterioration degree determination method in an embodiment;

[0044] Figure 2 A flowchart of the bridge deterioration degree determination method in an embodiment;

[0045] Figure 3 Another flowchart of the bridge deterioration degree determination method in an embodiment;

[0046] Figure 4 Still another flowchart of the bridge deterioration degree determination method in another embodiment;

[0047] Figure 5 A structural block diagram of the bridge deterioration degree determination device in an embodiment;

[0048] Figure 6 An internal structure diagram of the computer device in an embodiment. DETAILED DESCRIPTION

[0049] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not used to limit the present application.

[0050] Bridges all experience the process of construction, service, functional degradation and scrap. In the process of use, with the passage of time, under the action of internal or external or natural adverse factors, material aging and structural damage will occur. The accumulation of such aging and damage will lead to structural performance degradation and reliability reduction. Without maintenance and reinforcement, its function will inevitably accelerate the decline. Since bridges are composed of materials such as steel and concrete, through statistical analysis, the degradation of bridges in service has similar rules, and it is very important to study and predict the future technical state of bridges. By analyzing the degradation of bridges, the actual degradation degree of bridges can be determined, thereby serving the safe use, management and maintenance of bridges and the like.

[0051] The current technical solutions tend to be biased towards macro degradation or micro degradation. The degradation relationship between micro and macro is difficult to obtain a feasible macro degradation through micro in physical sense due to the possible common action between micro degradation, which leads to the actual evaluation of bridge degradation characteristics often avoiding abnormal data interference in monitoring.

[0052] Based on the above analysis, the present application provides a bridge degradation degree determination method, which will be described below by way of examples:

[0053] The bridge degradation degree determination method provided by the embodiments of the present application can be applied in the application environment as shown in Figure 1 . Among them, the bridge detection device 102 communicates with the server 104 through the network. The data storage system can store the data required by the server 104 to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. Among them, the bridge detection device 102. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0054] In an exemplary embodiment, as shown in Figure 2 , a bridge degradation degree determination method is provided. Taking the server in Figure 1 as an example, the method can include steps S201 to S209:

[0055] Step S201: Obtain historical data of a plurality of bridges, the historical data comprising historical assessment results of technical state assessment of each bridge, and bridge age information of each bridge.

[0056] The technical state of a bridge refers to a comprehensive embodiment of the integrity, durability, functionality and economy of the bridge during operation, and reflects the health degree of the bridge in the whole life cycle from design, construction to use.

[0057] The technical state assessment can refer to a professional activity of determining the comprehensive quality level of a bridge in terms of structural safety, use function and durability performance, etc. through systematic inspection, detection, analysis and evaluation.

[0058] In some embodiments, the technical state assessment of each bridge can convert the complex physical state of the bridge into a quantifiable score or grade (such as 1-5 categories), thereby forming the historical assessment results.

[0059] The bridge age information can be information representing the age of the bridge since its completion.

[0060] In some embodiments, the bridge information can correspond to the historical assessment results. For example, the bridge information can be the age of the bridge when the technical state assessment is performed.

[0061] In some embodiments, the similarity of the bridge structure between each bridge is greater than a preset structural similarity, and the similarity of the bridge material between each bridge is greater than a preset material similarity. For example, each bridge has the same or the same type of bridge structure, and each bridge is constructed using the same bridge material.

[0062] Step S202: Construct a bridge technical state degradation curve according to the historical assessment results and the bridge age information.

[0063] In some embodiments, the server can analyze the relationship between the bridge age information and the historical assessment results. For example, the historical assessment results can be in the form of scores, and the bridge age information can include a specific bridge age. Therefore, the server can construct a coordinate system, such as taking the bridge age as the horizontal coordinate and the score in the historical assessment results as the vertical coordinate, and construct a bridge technical state degradation curve based on the coordinate system.

[0064] Step S203: Obtain target degradation data of a target bridge; wherein the similarity between the bridge structure of the target bridge and the bridge structure of each bridge is greater than a first similarity, and the similarity between the bridge material of the target bridge and the bridge material of each bridge is greater than a second similarity.

[0065] The target bridge can be a bridge for which the degree of deterioration needs to be determined.

[0066] The target deterioration data can be bridge deterioration data for the target bridge.

[0067] In some embodiments, the target bridge can have the same or similar bridge structure and bridge material as each of the bridge ages, so that the historical data of each bridge and the bridge technical state deterioration curve are more referential for the target bridge.

[0068] The bridge structure can be a physical system that constitutes the main body of the bridge and bears the load transmission. In some embodiments, the bridge structure can include the superstructure, the substructure, the support, etc. The superstructure can be a part that bears the deck load and transmits it to the substructure, and an example can be a cable structure such as a suspension bridge. The substructure can be a part that supports the superstructure and transmits the load to the foundation, such as a pier.

[0069] In some embodiments, the first similarity and the second similarity can be the same or different. The first similarity and the second similarity can be preset and fixed or dynamically changed based on actual needs.

[0070] In some embodiments, to improve the accuracy of the determination of the degree of bridge deterioration, the first similarity and the second similarity can be increased, so that the historical data of each bridge and the bridge technical state deterioration curve are more referential for the target bridge.

[0071] Step S204: constructing a target deterioration curve according to the target deterioration data.

[0072] The target deterioration curve can be a curve for reflecting the deterioration of the technical state of the target bridge.

[0073] In some embodiments, the target deterioration curve can be constructed according to the target deterioration data by referring to the method of constructing the bridge technical state deterioration curve.

[0074] Step S205: scaling the target deterioration curve based on the first ratio, so that the target deterioration curve at least partially coincides with the bridge technical state deterioration curve, and correcting the target deterioration curve based on the bridge technical state deterioration curve to obtain a first curve.

[0075] In some embodiments, as mentioned above, the target bridge and each of the aforementioned bridges have the same or similar bridge structure and bridge material, and thus the target deterioration curve and the bridge technical state deterioration curve should at least have a certain similarity, such as the same curve line type. Based on the above analysis, the server can scale the target deterioration curve according to the first ratio, so that the target deterioration curve can substantially coincide with the bridge technical state deterioration curve.

[0076] In some embodiments, the target deterioration curve and the bridge technical state deterioration curve at least partially coincide, where the coincidence can be understood in a broad sense, that is, it can not be complete coincidence, but can be relatively small, for example, at the same horizontal coordinate, the vertical coordinate corresponding to the target deterioration curve and the vertical coordinate corresponding to the bridge technical state deterioration curve differ by a preset coordinate difference range, that is, it can be considered as "coincidence". For example, assuming that the coordinate system corresponding to the target deterioration curve and the bridge technical state deterioration curve is x-y, at x=5, the vertical coordinate corresponding to the target deterioration curve is y1=10, and the vertical coordinate corresponding to the bridge technical state deterioration curve is y2=11, since y1-y2=10-11=-1, the preset coordinate difference range is [-5, +5], and since -1 belongs to the range [-5, +5], it can be considered that the target deterioration curve and the bridge technical state deterioration curve coincide at x=5.

[0077] In some embodiments, since the bridge technical state deterioration curve can be determined based on the measured historical data, the bridge technical state deterioration curve can have relatively large data fluctuations, and in this case of data fluctuations, the target deterioration curve and the bridge technical state deterioration curve can not completely coincide, and for this, linear regression can be performed based on the bridge technical state deterioration curve to eliminate the misjudgment caused by data fluctuations.

[0078] In some embodiments, the age of each bridge can be greater than the age of the target bridge, and correspondingly, the time dimension spanned by the historical data of each bridge can be greater than the time dimension of the target deterioration data of the target bridge. Further, the length of the scaled target deterioration curve can be shorter than the length of the bridge technical state deterioration curve, and thus the bridge technical state deterioration curve can be used to supplement the scaled target deterioration curve to obtain the first curve.

[0079] Step S206: scaling the first curve based on a second ratio to obtain a second curve, wherein the product of the first ratio and the second ratio is 1.

[0080] In some embodiments, the first ratio can be a ratio for enlarging the curve, and the second ratio can be a ratio for reducing the curve. By first enlarging and then reducing, the curve can maintain the original size.

[0081] Step S207: updating the target deterioration data based on the preset bridge detection device.

[0082] In some embodiments, the server can interact with the bridge detection device to obtain real-time detection data obtained by the bridge detection device in real-time detection of the target bridge, and update the target deterioration data according to the real-time detection data.

[0083] In some embodiments, based on the preset bridge detection device, real-time data of the target bridge can be obtained, and the target deterioration data can be updated according to the real-time data.

[0084] Step S208: determining a third curve according to the updated target deterioration data and the second curve.

[0085] In some embodiments, the second curve can be updated according to the updated target deterioration data, so as to obtain the third curve.

[0086] Step S209: determining the deterioration degree of the target bridge according to the third curve.

[0087] In some embodiments, the third curve can represent the deterioration of the target bridge and the future possible deterioration trend, so that the deterioration degree of the target bridge can be determined through the third curve. For example, the bridge age corresponding to a specific deterioration degree can be found on the third curve, the specific deterioration degree can be a degree representing that the target bridge cannot be normally used when it is at the deterioration degree, and the specific deterioration degree is determined based on the technical state of the target bridge age.

[0088] In some embodiments, the life of the target bridge can be determined according to the deterioration degree of the target bridge.

[0089] The above technical solution predicts the deterioration degree of the target bridge by referring to the historical survival conditions of each bridge age. Specifically, the bridge technical state deterioration curve is constructed through the historical data of each bridge age, the consistency between the target deterioration curve of the target bridge and the bridge technical state deterioration curve is ensured through scaling, at least partially overlapping, so as to facilitate the correction of the target deterioration curve by using the bridge technical state deterioration curve, and then inverse scaling, i.e. restoration, to obtain the second curve. This makes the second curve more accurately reflect the technical state deterioration of the target bridge by referring to the historical survival conditions of each bridge. At the same time, since the third curve is based on the updated target deterioration data and the second curve, it can more accurately and more timely reflect the actual technical state deterioration of the target bridge, so that the deterioration degree of the target bridge can be more accurately determined based on the third curve.

[0090] In one embodiment, the aforementioned "determining the degree of deterioration of the target bridge based on the third curve" may include: determining the similarity of the line shape between the line shape of the third curve and the line shape of the bridge technical condition deterioration curve; if the line shape similarity is greater than a preset line shape similarity, determining the degree of deterioration of the target bridge based on the third curve; if the line shape similarity is less than or equal to the preset line shape similarity, determining that the updated target deterioration data is abnormal.

[0091] The preset line similarity can be fixed or customized according to the actual situation.

[0092] In some embodiments, the similarity between the line shape of the third curve and the line shape of the bridge technical condition deterioration curve can be determined by Euclidean distance. Specifically, the difference between the two curves is measured by calculating the square root of the sum of the squares of the coordinate differences between the two curves at the same point.

[0093] In some embodiments, if the line similarity is less than or equal to a preset line similarity, the server can determine that the updated target degradation data is abnormal and issue an anomaly alarm. In some embodiments, if the updated target degradation data is determined to be abnormal, the target degradation data can be updated again, and the aforementioned steps can be repeated to determine the line similarity. If the updated target degradation data is still determined to be abnormal, it may indicate that the target bridge has experienced a sudden or unexpected degradation, and the server can issue an abnormal degradation alarm for the target bridge.

[0094] In some embodiments, the server can scale the third curve based on a first ratio to obtain a fourth curve, and determine a second line similarity between the line type of the fourth curve and the line type of the bridge technical condition deterioration curve; if the second line similarity is greater than a preset line similarity, the server determines the degree of deterioration of the target bridge based on the fourth curve; if the second line similarity is less than or equal to the preset line similarity, the server determines that the updated target deterioration data is abnormal.

[0095] The above technical solution determines the similarity of the line types between the third curve and the bridge's technical condition deterioration curve. If the similarity is greater than a preset similarity, the deterioration degree of the target bridge is determined based on the third curve; otherwise, the updated target deterioration data is considered abnormal. This verification of the updated target deterioration data anomalies prevents the accuracy of the determined target bridge deterioration degree from being affected by such anomalies.

[0096] In one of the embodiments, the aforementioned "determining the third curve based on the updated target deterioration data and the second curve" can include: determining, according to the updated target deterioration data, a bridge disease type to which the target bridge belongs as a target disease type, wherein the bridge disease type includes at least one of the following: transverse cracks, vertical cracks, longitudinal cracks, diagonal cracks, surface damage, honeycomb, pitting, surface loose, and holes; determining, from preset disease influence factors, a disease influence factor corresponding to the target disease type as a target disease influence factor, wherein the disease influence factor is determined based on an evaluation score of a historical evaluation result corresponding to the bridge disease type; and determining the third curve according to the target disease influence factor and the second curve.

[0097] In some embodiments, different bridge disease types can correspond to different disease influence factors.

[0098] In some embodiments, the target disease type corresponds to the target disease influence factor, and the target disease type is based on the updated target deterioration data. Therefore, the target disease influence factor can correspond to the updated target deterioration data, i.e., the latest or current technical state deterioration of the target bridge. This can find a corresponding point or curve position on the second curve, and the target disease influence factor can have an impact on the corresponding point or curve position, such as adjusting the corresponding point or curve position up or down by multiplying a certain coefficient, so as to obtain the third curve. Exemplarily, the vertical coordinate of the second curve is the evaluation score of the technical state, and the horizontal coordinate is the bridge age. The target disease influence factor can have an impact on the point or curve position corresponding to the current time (fixed horizontal coordinate, bridge age) in the second curve, such as adjusting the evaluation score of the point.

[0099] The above technical solution takes the bridge disease type into account in the determination of the bridge deterioration degree. Specifically, the target disease influence factor is determined by determining the target disease type of the target bridge, and the third curve is determined by the target disease influence factor and the second curve. This enables the third curve to reflect the impact of the bridge disease type on the technical state of the bridge, thereby helping to more accurately determine the bridge deterioration degree.

[0100] In one of the embodiments, the aforementioned bridge deterioration degree determination method further includes steps S301 to S303, which are as follows:

[0101] Step S301: determining bridge disease information of each bridge, wherein the bridge disease information includes a bridge disease type and a bridge disease position.

[0102] In some embodiments, the bridge can be divided into several parts, and the time and position of the occurrence of a certain specific bridge disease type of the bridge and the fluctuation value of the technical state score (i.e., the evaluation score) at that time can be obtained according to the historical data.

[0103] Step S302: determining the evaluation scores of the historical evaluation results corresponding to each bridge in the case of the same bridge disease type and different bridge disease positions.

[0104] Step S303: determining the disease influence factor according to the change of the evaluation scores of the historical evaluation results corresponding to each bridge.

[0105] In some embodiments, the fluctuation of the technical state score in the first occurrence of the same bridge disease type in different positions and without other bridge disease types in different bridges can be selected as the basic influence factor of the bridge disease type in the position, the fluctuation of the technical state score in the samples in which the bridge disease type in the position increases sequentially and without the interference of other bridge disease types is recorded, and the influence factor coefficient of the bridge disease type in the superposition is obtained by superposition comparison of the expected influence factor. According to the above logic, the influence factor coefficients after the superposition between different bridge disease types in the same position are recorded. The above influence factors and the corresponding disease types and quantities are recorded as the disease relationship matrix.

[0106] The above technical solution determines the evaluation scores of the historical evaluation results corresponding to each bridge in the case of the same bridge disease type and different bridge disease positions, and determines the disease influence factor based on the fluctuation of the evaluation scores, which makes the disease influence factor reflect the influence of the bridge disease type and different bridge disease positions corresponding to the bridge disease type on the technical state of the bridge, thereby serving the accurate determination of the target disease influence factor.

[0107] In one of the embodiments, the above-mentioned "scaling the first curve based on the second ratio to obtain the second curve" can include steps S401 to S403:

[0108] Step S401: scaling the first curve based on the second ratio to obtain a scaled curve.

[0109] Step S402: determining a target curve part in the scaled curve corresponding to the target degradation curve.

[0110] Step S403: removing the target curve part in the scaled curve to obtain the second curve.

[0111] In some embodiments, "removing the target curve part in the scaled curve to obtain the second curve" can include: taking the scaled curve after removing the target curve part as a remaining curve part, and fusing the target degradation curve with the remaining curve part to obtain the second curve.

[0112] Exemplarily, the scaling curve comprises an A curve portion and a B curve portion, the target curve portion is the A curve portion, then the B curve portion is obtained by removing the target curve portion in the scaling curve, and the second curve is obtained by fusing the B curve portion with the target deterioration curve.

[0113] The technical solution described above obtains the scaling curve by scaling the first curve, removes the target curve portion in the scaling curve, and uses the target deterioration curve to replace it, thereby forming the second curve. This makes the second curve more truly reflect the technical state deterioration of the target bridge, thereby providing a more accurate basis for determining the deterioration degree of the target bridge.

[0114] In one of the embodiments, the aforementioned "constructing the target deterioration curve according to the target deterioration data" can comprise: performing technical state assessment on the target bridge based on the target deterioration data to obtain a target assessment result of the target bridge; and constructing the target deterioration curve according to the target assessment result and the bridge age information of the target bridge corresponding to the target assessment result.

[0115] In some embodiments, the target deterioration data can be determined based on one bridge detection or multiple bridge detections. In some embodiments, the technical state assessment on the target bridge can be performed once or multiple times, thereby obtaining multiple target assessment results.

[0116] In some embodiments, the structure of the bridge can be fixed, the basic mechanical system of each bridge can be the same or similar, and accordingly, the deterioration of the technical state of each bridge develops in a curve form.

[0117] In some embodiments, the internal stress of the target bridge can be different from those of the bridges described above, and accordingly, the technical state deterioration curve can be scaled or changed.

[0118] In some embodiments, the technical state deterioration of the bridge is not a smooth process, but a curve that is roughly fitted.

[0119] The target assessment result is obtained by performing the technical state assessment on the target bridge, and the target deterioration curve is constructed according to the target assessment result and the bridge age information of the target bridge corresponding to the target assessment result.

[0120] In one exemplary embodiment, a bridge deterioration degree determination system is provided based on the aforementioned bridge deterioration degree determination method, and the system comprises an overall bridge deterioration data basic processing module, an overall bridge deterioration data real-time processing module, a plurality of single item deterioration data real-time processing modules, a deterioration position recording module, a clock module, a monitoring data processing module, and a historical data recording module. Specifically:

[0121] The overall bridge deterioration data processing module is a module for evaluating the deterioration based on the overall bridge data, wherein the technical state evaluation result DN of all bridge detection is obtained according to the historical data, and the bridge age N at the time of bridge detection is obtained, and the deterioration rate a of the technical state of the bridge is calculated according to the above data, a = (Dc-DN) / n;

[0122] wherein DN is the technical state evaluation result of the bridge detection, DC is the initial technical state score, and n is the service time of the bridge;

[0123] The initial technical state score DC of the bridge at the time of completion and the service time n of the bridge are obtained, and the statistical service life Nd of the same type of bridge is set;

[0124] The technical state deterioration curve is drawn according to the above data, and the deterioration is evaluated, and the deterioration model is as follows:

[0125] ;

[0126] wherein D(n) is the technical state score at the service time n years, Dc is the technical state score of the bridge at the time of completion, λ is a model introduction parameter, Nd is the statistical service life of the same type of bridge, n is the service time of the bridge, A is a constant, and D(n-1) is the technical state score of the bridge in the (n-1) year, and the prediction value is fitted according to the linear relationship of the bridge state deterioration curve.

[0127] The overall bridge deterioration data real-time processing module obtains the bridge deterioration data obtained by the detection device in real time and calculates the current technical state score, forms the real-time overall deterioration curve after time sorting, scales the real-time overall deterioration curve horizontally and vertically to substantially coincide with the aforementioned technical state deterioration curve, completes the subsequent real-time overall deterioration curve according to the line type of the technical state deterioration curve, and returns to the original scaling ratio, and the supplemented section is taken as the basic prediction curve.

[0128] The deterioration position recording module divides the bridge into several parts, and obtains the time and position of the occurrence of a certain specific disease of the bridge and the fluctuation value of the technical state score at that time according to the historical data, selects the technical state score fluctuation of the first occurrence of the same disease at different positions in different bridges without other diseases, as the basic influence factor of the disease at this position, records the technical state score fluctuation in the samples of the same disease at this position without other diseases, and compares the expected influence factor, obtains the influence factor coefficient under the superposition of the disease, and records the influence factor and the disease type and quantity corresponding to the disease relationship matrix according to the above-mentioned logic.

[0129] The single-item deterioration data real-time processing module is divided into different sub-modules according to different disease types, whether the disease type monitored by the module is determined through pictures or detection data, and the coefficient required for multiplying the influence factor of the current disease is drawn from the relationship matrix in the case of confirming the disease type in combination with the position of the current detection bridge disease type recorded in the historical data record module, and the actual influence factor calculated is introduced into the basic prediction curve at the current position.

[0130] The disease type of the single-item deterioration data can include transverse cracks, vertical cracks, longitudinal cracks, diagonal cracks, surface damage, honeycomb, pitting, surface loose, holes, etc.

[0131] The clock module is used to control the detection device to collect disease conditions and overall bridge deterioration condition data frequency.

[0132] The monitoring data processing module is used to determine whether the basic prediction curve and the basic prediction curve processed by the collected several disease deterioration data real-time processing module still conform to the state deterioration curve line type after scaling, if yes, continue to monitor, otherwise, issue a deterioration data out-of-control alarm.

[0133] According to the above system module, the working purpose of the system is to obtain the deterioration curve fitted by the idealized deterioration data based on the prior data sample. Since the physical structures of similar structures and similar materials often exhibit similar physical properties, the deterioration curve for a certain specific structure should follow the same line type, although the measured horizontal and vertical coordinates and the scale are slightly different. That is, the deterioration curves of similar structures and similar materials should coincide after scaling. According to this characteristic, the relationship between the deterioration degree and the time of a bridge can be obtained by scaling, and the actual deterioration curve of the bridge can be obtained to predict the deterioration degree of the bridge. In practical applications, the deterioration degree of the bridge is detected in real time, and a real-time deterioration curve is generated according to the deterioration degree and the time. The deterioration curve is updated in real time and should correspond to a part of the theoretical deterioration curve line type. According to the current corresponding position, the actual deterioration degree of the bridge can be determined by combining the theoretical deterioration curve.

[0134] But the above theory is based on idealized deterioration data, while the actual deterioration data is based on the case where the disease occurs and develops to a certain extent, and then the data fluctuation is generated on the data structure, thereby affecting the overall data slope of the smooth curve with fluctuation. That is, when the disease occurs, data fluctuation often occurs, and the slope of the bridge deterioration curve is corrected based on the deterioration state after the data fluctuation is stable. Although the overall result is basically similar, the actual deterioration curve is not smooth. This results in that the fluctuating data is actually monitored, and when the bridge is detected as a whole to obtain the current bridge deterioration curve, the current deterioration degree may be higher or lower than the slope of the theoretical deterioration curve in a small value section, but in a large value section, this part may be noise, so it is not used as a reference for data. The purpose of establishing the matrix in this technical solution is to obtain the data influence of various diseases on the deterioration curve in mathematical logic, and after correcting the overall data based on the data matrix, the actual corresponding value section of the current actual deterioration curve is obtained, so as to avoid misjudgment.

[0135] According to the content of the above technical solution, in actual use, the determination method of the overall bridge deterioration data basic processing module adopts the overall deterioration curve, and the technical state score in this module such as DN or DC is obtained based on the lower section. In this embodiment, the deterioration rate is obtained according to the technical state score, and the deterioration curve is fitted according to time sorting based on the deterioration rate.

[0136] Specifically, the technical state score is obtained in the following way: the disease occurrence position, disease characteristics and disease degree data of the current bridge; the bridge deterioration index and the safety evaluation index of the bridge are calculated respectively according to the disease occurrence position, disease characteristics and disease degree data; the results of the bridge safety evaluation index are corrected by the bridge deterioration index to obtain the technical state score of the corrected bridge.

[0137] The bridge deterioration index obtained above is composed of the number of cracking diseases and other diseases at different positions of the beam body, the serial number of the beam cracking diseases and other diseases, the main crack length, the beam height, the segment length between the two beam diaphragms, the disease area, the position coefficient and the damage coefficient. Specifically, the position coefficient and the damage coefficient of each disease, the serial number of the disease and the bridge deterioration index are positively correlated, and the disease number, the beam height and the segment length between the two beam diaphragms are negatively correlated with the bridge deterioration index.

[0138] In this embodiment, the product of the position coefficient and the damage coefficient of each disease, the serial number of the disease and the beam height is added inversely (the inverse ratio of the segment length between the two beam diaphragms is also included for non-crack type), and then divided by the disease number.

[0139] The bridge safety index is based on the transverse amplitude value, the vertical deflection-span ratio value, the maximum measured transverse amplitude value of the beam body, or the amplitude value, and the vertical deflection-span ratio of the beam body under the action of static live load specified in the bridge operation performance regulation. Specifically, the maximum measured transverse amplitude value of the beam body, or the amplitude value, and the vertical deflection-span ratio of the beam body under the action of static live load are positively correlated with the bridge safety index, and the transverse amplitude value and the vertical deflection-span ratio value specified in the bridge operation performance regulation are negatively correlated with the bridge safety index.

[0140] In this embodiment, the ratio of the maximum measured transverse amplitude value of the beam body, or the amplitude value, to the transverse amplitude value specified in the bridge operation performance regulation, and the ratio of the vertical deflection-span ratio of the beam body under the action of static live load to the vertical deflection-span ratio value are obtained by dividing the sum of the two ratios by 2.

[0141] The method establishes the relationship between the overall bridge deterioration prediction data, the overall bridge deterioration actual data, the specific disease prediction data, and the specific disease actual data based on mathematical logic. Through the influence factor and coefficient relationship established between the above data, the influence intensity and regularity of each disease on the overall in the actual are reasonably obtained. The bridge deterioration can be effectively observed.

[0142] The above technical solution predicts the bridge technical state deterioration curve according to various physical data of the bridge, scales and translates the predicted bridge technical state deterioration curve, corrects the bridge technical state deterioration curve, and finally determines the bridge deterioration degree based on the corrected bridge technical state deterioration curve, which helps to more accurately determine the bridge deterioration degree.

[0143] It should be understood that although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or steps or stages in other steps.

[0144] Based on the same inventive concept, the embodiments of the present application also provide a bridge deterioration degree determination device for implementing the bridge deterioration degree determination method described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more bridge deterioration degree determination device embodiments provided below can refer to the limitations of the bridge deterioration degree determination method described above, which will not be described here.

[0145] In one exemplary embodiment, as shown in Figure 5 a bridge deterioration degree determination device 500 is provided, comprising:

[0146] A first construction module 501 is configured to acquire historical data of a plurality of bridges, the historical data comprising historical evaluation results of technical state assessment for each bridge and bridge age information of each bridge; and construct a bridge technical state deterioration curve according to the historical evaluation results and the bridge age information.

[0147] A second construction module 502 is configured to acquire target deterioration data of a target bridge; wherein the similarity between the bridge structure of the target bridge and the bridge structure of each bridge is greater than a first similarity, and the similarity between the bridge material of the target bridge and the bridge material of each bridge is greater than a second similarity; and construct a target deterioration curve according to the target deterioration data.

[0148] A curve determination module 503 is configured to scale the target deterioration curve based on a first ratio, so that the target deterioration curve at least partially coincides with the bridge technical state deterioration curve, and correct the target deterioration curve based on the bridge technical state deterioration curve to obtain a first curve; scale the first curve based on a second ratio to obtain a second curve; wherein the product of the second ratio and the first ratio is 1; update the target deterioration data based on a preset bridge detection device; and determine a third curve according to the updated target deterioration data and the second curve.

[0149] A deterioration determination module 504 is configured to determine the deterioration degree of the target bridge according to the third curve.

[0150] In one embodiment, the deterioration determination module 504 is further configured to determine the deterioration degree of the target bridge according to the third curve, comprising: determining a line type similarity between the line type of the third curve and the line type of the bridge technical state deterioration curve; in a case where the line type similarity is greater than a preset line type similarity, determining the deterioration degree of the target bridge according to the third curve; and in a case where the line type similarity is less than or equal to the preset line type similarity, determining that the updated target deterioration data is abnormal.

[0151] In one embodiment, the curve determination module 503 is further configured to determine a third curve based on the updated target degradation data and the second curve, including: determining the bridge defect type of the target bridge according to the updated target degradation data, as the target defect type; wherein the bridge defect type includes at least one of the following: transverse cracks, vertical cracks, longitudinal cracks, diagonal cracks, surface damage, honeycombing, pitting, surface loosening, and voids; determining the defect impact factor corresponding to the target defect type from preset defect impact factors, as the target defect impact factor; the defect impact factor is determined based on the evaluation score of the historical evaluation results corresponding to the bridge defect type; and determining the third curve according to the target defect impact factor and the second curve.

[0152] In one embodiment, the curve determination module 503 is further used to determine the bridge defect information of each bridge, including the bridge defect type and the bridge defect location; determine the evaluation score of the historical evaluation results corresponding to each bridge under the same bridge defect type but different bridge defect locations; and determine the defect impact factor based on the change of the evaluation score of the historical evaluation results corresponding to each bridge.

[0153] In one embodiment, the curve determination module 503 is further configured to scale the first curve based on a second ratio to obtain a second curve, including: scaling the first curve based on a second ratio to obtain a scaled curve; determining the target curve portion in the scaled curve corresponding to the target degradation curve; and removing the target curve portion in the scaled curve to obtain the second curve.

[0154] In one embodiment, the second construction module 502 is further configured to construct a target degradation curve based on the target degradation data, including: assessing the technical condition of the target bridge based on the target degradation data to obtain the target assessment result of the target bridge; and constructing a target degradation curve based on multiple target assessment results and the bridge age information of the target bridge corresponding to each target assessment result.

[0155] The various modules in the aforementioned bridge deterioration determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0156] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 6As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores data required for implementing the bridge degradation determination method, such as historical data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a bridge degradation determination method.

[0157] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0158] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0159] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0160] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0161] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0162] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0163] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for determining the degree of deterioration of a bridge, characterized in that, The method comprises: obtaining historical data of a plurality of bridges, the historical data comprising historical evaluation results of technical state assessment for each of the bridges, and bridge age information of each of the bridges; constructing a bridge technical state deterioration curve according to the historical evaluation results and the bridge age information; obtaining target deterioration data for a target bridge; wherein a similarity between a bridge structure of the target bridge and bridge structures of each of the bridges is greater than a first similarity, and a similarity between a bridge material of the target bridge and bridge materials of each of the bridges is greater than a second similarity; constructing a target deterioration curve according to the target deterioration data; scaling the target deterioration curve based on a first ratio, so that the target deterioration curve at least partially coincides with the bridge technical state deterioration curve, and correcting the target deterioration curve based on the bridge technical state deterioration curve, to obtain a first curve; scaling the first curve based on a second ratio to obtain a second curve; wherein a product of the second ratio and the first ratio is 1; updating the target deterioration data based on a preset bridge detection device; determining a third curve according to the updated target deterioration data and the second curve; determining a deterioration degree of the target bridge according to the third curve.

2. The method of claim 1, wherein, The determining of the deterioration degree of the target bridge according to the third curve comprises: determining a line type similarity between a line type of the third curve and a line type of the bridge technical state deterioration curve; in a case where the line type similarity is greater than a preset line type similarity, determining the deterioration degree of the target bridge according to the third curve; in a case where the line type similarity is less than or equal to the preset line type similarity, determining that the updated target deterioration data is abnormal.

3. The method of claim 1, wherein, The determining of the third curve based on the updated target deterioration data and the second curve comprises: determining a bridge disease type to which the target bridge belongs as a target disease type according to the updated target deterioration data; wherein the bridge disease type comprises at least one of the following: transverse cracks, vertical cracks, longitudinal cracks, oblique cracks, surface damage, honeycomb, pitting, surface loosening, and holes; determining a disease influence factor corresponding to the target disease type as a target disease influence factor from preset disease influence factors; the disease influence factor is determined based on an evaluation score of the historical evaluation result corresponding to the bridge disease type; determining a third curve according to the target disease influence factor and the second curve.

4. The method of claim 3, wherein, The method further comprises: determining bridge disease information of each of the bridges, the bridge disease information comprising a bridge disease type and a bridge disease location; determining evaluation scores of the historical evaluation results corresponding to each of the bridges in a case where the same bridge disease type and different bridge disease locations are present; determining the disease influence factor according to a change of the evaluation scores of the historical evaluation results corresponding to each of the bridges.

5. The method of claim 1, wherein, The scaling of the first curve based on the second ratio to obtain the second curve comprises: scaling the first curve based on a second ratio to obtain a second curve; determining a target curve part in the scaled curve corresponding to the target deterioration curve; removing the target curve part in the scaled curve to obtain a second curve.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: performing technical state assessment on the target bridge based on the target deterioration data to obtain a target assessment result of the target bridge; constructing a target deterioration curve according to the target assessment result and bridge age information of the target bridge corresponding to the target assessment result.

7. A bridge deterioration degree determination device characterized by comprising: The apparatus includes: a first constructing module configured to acquire historical data of a plurality of bridges, the historical data including historical assessment results of technical state assessment on each of the bridges and bridge age information of each of the bridges, and construct a bridge technical state deterioration curve according to the historical assessment results and the bridge age information; a second constructing module configured to acquire target deterioration data of a target bridge, wherein a similarity between a bridge structure of the target bridge and bridge structures of each of the bridges is greater than a first similarity, and a similarity between a bridge material of the target bridge and bridge materials of each of the bridges is greater than a second similarity, and construct a target deterioration curve according to the target deterioration data; a curve determining module configured to scale the target deterioration curve based on a first ratio to make the target deterioration curve at least partially coincide with the bridge technical state deterioration curve, and correct the target deterioration curve based on the bridge technical state deterioration curve to obtain a first curve, scale the first curve based on a second ratio to obtain a second curve, wherein a product of the second ratio and the first ratio is 1, update the target deterioration data based on a preset bridge detection apparatus, and determine a third curve according to the updated target deterioration data and the second curve; a deterioration determining module configured to determine a deterioration degree of the target bridge according to the third curve.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to implement the steps of the method in any one of claims 1 to 6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 6.

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