Highway bridge performance evaluation method and system based on multiple factors

Abstract

The invention relates to the technical field of highway bridge evaluation, and discloses a highway bridge performance evaluation method and system based on multiple factors, and the method comprises the steps: dividing highway bridge disease data into disease features, disease occurrence positions and disease degrees, and endowing the disease features, the disease occurrence positions and the disease degrees with feature evaluation weights, position evaluation weights and degree evaluation weights; obtaining an apparent image of the highway bridge, carrying out image recognition on the apparent image, and obtaining a disease occurrence position, a disease feature and a disease degree of the highway bridge; based on the feature evaluation weight, the position evaluation weight and the degree evaluation weight, determining a static performance evaluation value of the highway bridge according to the disease occurrence position, the disease feature and the disease degree; obtaining highway bridge use environment data, and determining a dynamic performance evaluation value according to the use environment data; and determining a performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value. According to the invention, a comprehensive and scientific evaluation system is constructed, and accurate evaluation of the highway bridge performance is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of highway bridge evaluation, and in particular to a highway bridge performance evaluation method and system based on multiple factors. Background Art

[0002] As an important part of transportation infrastructure, the stability and reliability of highway bridge performance are directly related to the safety and smoothness of road traffic. However, as the service life increases, highway bridges will gradually suffer from various damages and performance degradation under the influence of multiple factors such as natural environmental erosion, vehicle load accumulation, and inadequate maintenance and management. Traditional highway bridge performance evaluation methods often focus on a single indicator of the highway bridge itself, which is difficult to fully and accurately reflect the actual condition of the bridge, resulting in deviations in the evaluation results, which in turn affects subsequent maintenance decisions and funding allocation.

[0003] Therefore, there is an urgent need for a highway bridge performance evaluation method and system based on multiple factors to conduct a comprehensive evaluation of highway bridges. Summary of the invention

[0004] The purpose of the present invention is to provide a highway bridge performance evaluation method and system based on multiple factors, so as to solve the problem that traditional highway bridge performance evaluation methods often focus on a single indicator of the highway bridge itself, which is difficult to fully and accurately reflect the actual condition of the bridge, resulting in deviations in the evaluation results, thereby affecting subsequent maintenance decisions and funding allocation.

[0005] The present invention provides a highway bridge performance evaluation method based on multiple factors, characterized in that the method comprises:

[0006] The highway bridge disease data is divided into disease characteristics, disease occurrence locations and disease degrees, and a characteristic evaluation weight is assigned to the disease characteristics, a location evaluation weight is assigned to the disease occurrence locations, and a degree evaluation weight is assigned to the disease degrees;

[0007] Photographing the surface of a highway bridge to obtain an apparent image of the highway bridge, performing image recognition on the apparent image of the highway bridge to obtain the location, characteristics and degree of damage of the highway bridge;

[0008] Based on the characteristic evaluation weight, the location evaluation weight and the degree evaluation weight, the static performance evaluation value of the highway bridge is determined according to the location of the damage, the characteristics of the damage and the degree of the damage of the highway bridge;

[0009] Acquiring the use environment data of the highway bridge, and determining the dynamic performance evaluation value of the highway bridge according to the use environment data;

[0010] Determine the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value;

[0011] Wherein, determining the dynamic performance evaluation value of the highway bridge according to the use environment data includes: the use environment data includes the use time and the daily maximum load-bearing weight of the highway bridge;

[0012] Determining the design load of the highway bridge, and calculating the weight ratio between the maximum daily bearing weight and the design load;

[0013] The dynamic performance evaluation value of the highway bridge is determined according to the ratio of the service time to the weight.

[0014] Preferably, image recognition is performed on the surface image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge, including:

[0015] Denoising the highway bridge apparent image to obtain a de-noised apparent image;

[0016] Setting a standard defect characteristic image of a highway bridge, performing image recognition on the denoised apparent image based on the standard defect characteristic image, determining the similarity between the denoised apparent image and the standard defect characteristic image, and determining the defect characteristics of the highway bridge according to the similarity;

[0017] Based on the disease characteristics, determining the disease location and disease data of the highway bridge;

[0018] The damage degree of the highway bridge is determined according to the damage data.

[0019] Preferably, determining the damage characteristics of the highway bridge according to the similarity includes:

[0020] A similarity threshold is preset, and if the similarity is greater than or equal to the similarity threshold, it is determined that the highway bridge has a defect feature that is consistent with the standard defect feature image;

[0021] If the similarity is less than the similarity threshold, it is determined that the highway bridge does not have any damage feature consistent with the standard damage feature image.

[0022] Preferably, the static performance evaluation value is calculated according to the following formula:

[0023]

[0024] Among them, Qs represents the static performance evaluation value, i represents the ordinal number of the disease, n represents the number of diseases, a represents the location evaluation weight, Wi represents the disease occurrence location of the i-th disease, b represents the characteristic evaluation weight, Ti represents the disease characteristic of the i-th disease, c represents the degree evaluation weight, and Li represents the disease degree of the i-th disease.

[0025] Preferably, determining the dynamic performance evaluation value of the highway bridge according to the use environment data includes:

[0026] The usage environment data also includes daily maximum wind speed and daily rainfall;

[0027] Assigning environmental assessment weights to the use environmental data, wherein the environmental assessment weights include load assessment weights, wind speed assessment weights, and rainfall assessment weights;

[0028] Based on the load evaluation weight, determining the foundation dynamic performance evaluation value of the highway bridge according to the weight ratio;

[0029] Based on the wind speed evaluation weight and the rainfall evaluation weight, determining the additional dynamic performance evaluation value of the highway bridge according to the daily maximum wind speed and the daily rainfall;

[0030] Determining the dynamic performance evaluation value of the highway bridge according to the basic dynamic performance evaluation value and the additional dynamic performance evaluation value;

[0031] The dynamic performance evaluation value is calculated as follows:

[0032] Qm=(Qm1+Qm2) / 2, Qm is the dynamic performance evaluation value, Qm1 is the basic dynamic performance evaluation value, and Qm2 is the additional dynamic performance evaluation value.

[0033] Preferably, the basic dynamic performance evaluation value is calculated according to the following formula:

[0034]

[0035] Among them, Qm1 represents the basic dynamic performance evaluation value, m represents the usage time, d represents the load-bearing evaluation weight, and Bj represents the weight ratio on the jth day.

[0036] Preferably, based on the wind speed evaluation weight and the rainfall evaluation weight, the additional dynamic performance evaluation value of the highway bridge is determined according to the daily maximum wind speed and the daily rainfall, including:

[0037] Determining a daily basic wind pressure value according to the daily maximum wind speed value, and determining a daily lateral wind pressure based on the daily basic wind pressure value;

[0038] Obtaining the wind load of the highway bridge, and determining the wind pressure ratio between the wind load and the daily lateral wind pressure;

[0039] Based on the wind speed evaluation weight and the rainfall evaluation weight, determining the additional dynamic performance evaluation value of the highway bridge according to the wind pressure ratio and the daily rainfall;

[0040] The additional dynamic performance evaluation value is calculated according to the following formula:

[0041]

[0042] Qm2 represents the additional dynamic performance evaluation value, m represents the usage time, e represents the wind speed evaluation weight, Fj represents the wind pressure ratio on the jth day, f represents the rainfall evaluation weight, and Rj represents the daily rainfall on the jth day.

[0043] Preferably, determining the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value includes:

[0044] Correcting the static performance evaluation value according to the dynamic performance evaluation value to obtain a performance evaluation value of the highway bridge;

[0045] The performance evaluation value is calculated according to the following formula:

[0046] Qz=Qs(1+Qm);

[0047] Among them, Qz represents the performance evaluation value, Qs represents the static performance evaluation value, and Qm represents the dynamic performance evaluation value.

[0048] Preferably, the method further comprises:

[0049] Determining the evaluation grade of the highway bridge according to the performance evaluation value;

[0050] Determine the remaining service life of the highway bridge according to the evaluation level;

[0051] The highway bridge is marked and warned according to the remaining service life.

[0052] The present invention also discloses a highway bridge performance evaluation system based on multiple factors, which is used to apply the above-mentioned highway bridge performance evaluation method based on multiple factors. The system comprises:

[0053] A weight assignment module is used to divide highway bridge disease data into disease characteristics, disease occurrence locations and disease degrees, assign a feature evaluation weight to the disease characteristics, assign a location evaluation weight to the disease occurrence locations, and assign a degree evaluation weight to the disease degrees;

[0054] An acquisition module is used to photograph the surface of the highway bridge, obtain the surface image of the highway bridge, and obtain the use environment data of the highway bridge;

[0055] An image recognition module is used to perform image recognition on the surface image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge;

[0056] A performance evaluation module is used to determine the static performance evaluation value of the highway bridge based on the feature evaluation weight, location evaluation weight and degree evaluation weight, according to the location of the defect, the characteristics of the defect and the degree of the defect of the highway bridge; and to determine the dynamic performance evaluation value of the highway bridge according to the use environment data; and to determine the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value.

[0057] Compared with the prior art, the beneficial effect of the present invention is that the present invention constructs a comprehensive and scientific evaluation system to achieve accurate evaluation of highway bridge performance. The present invention comprehensively considers multiple factors such as disease characteristics, occurrence location, degree and use environment, and can evaluate highway bridge performance more comprehensively and accurately. By assigning weights and conducting quantitative analysis, the influence of subjective factors is reduced, making the evaluation results more objective. Image recognition technology is used to timely obtain bridge surface disease information and realize real-time monitoring, which helps to timely discover problems and take measures. The dynamic performance evaluation value is determined according to the use environment data, which can adapt to the performance changes of the bridge under different use conditions. The combination of static and dynamic evaluation values ​​improves the accuracy of the evaluation and provides a more reliable basis for the maintenance and management of the bridge. The accurate performance evaluation of the present invention helps to discover potential problems in advance, carry out preventive maintenance, extend the service life of the bridge, and reduce safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0059] Figure 1 It is a flow chart of a highway bridge performance evaluation method based on multiple factors of the present invention;

[0060] Figure 2 It is a functional block diagram of a highway bridge performance evaluation system based on multiple factors of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0062] like Figure 1 As shown, the present invention provides a highway bridge performance evaluation method based on multiple factors, the method comprising:

[0063] S1, dividing highway bridge disease data into disease characteristics, disease occurrence locations and disease degrees, assigning feature evaluation weights to the disease characteristics, assigning location evaluation weights to the disease occurrence locations, and assigning degree evaluation weights to the disease degrees.

[0064] S2, photographing the surface of the highway bridge to obtain an apparent image of the highway bridge, performing image recognition on the apparent image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge.

[0065] S3, based on the feature evaluation weight, location evaluation weight and degree evaluation weight, determine the static performance evaluation value of the highway bridge according to the location of the defect, the characteristics of the defect and the degree of the defect of the highway bridge.

[0066] S4, obtaining the use environment data of the highway bridge, and determining the dynamic performance evaluation value of the highway bridge according to the use environment data.

[0067] S5, determining the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value;

[0068] Wherein, determining the dynamic performance evaluation value of the highway bridge according to the usage environment data comprises: the usage environment data includes the usage time and the daily maximum bearing weight of the highway bridge; determining the design load of the highway bridge, and calculating the weight ratio between the daily maximum bearing weight and the design load; determining the dynamic performance evaluation value of the highway bridge according to the usage time and the weight ratio.

[0069] Preferably, image recognition is performed on the highway bridge surface image to obtain the location, characteristics and degree of defects of the highway bridge, including: denoising the highway bridge surface image to obtain a denoised surface image; setting a standard defect characteristic image of the highway bridge, and based on the standard defect characteristic image, performing image recognition on the denoised surface image to determine the similarity between the denoised surface image and the standard defect characteristic image, and determining the defect characteristics of the highway bridge according to the similarity; determining the location and data of the defect of the highway bridge based on the defect characteristics; and determining the degree of defect of the highway bridge according to the defect data.

[0070] In this embodiment, first, the apparent image of the highway bridge is denoised to eliminate possible interference factors in the image, such as noise, so as to obtain a clearer and more accurate denoised apparent image and improve the accuracy of recognition. Next, a set of standard disease feature images of the highway bridge is set, and based on these standard images, the denoised apparent image is subjected to in-depth image recognition processing. The similarity between the denoised apparent image and the standard disease feature image is determined, and the specific disease characteristics of the highway bridge are determined based on this similarity. Then, on the basis of accurately obtaining the disease characteristics, the disease location and related disease data of the highway bridge are further determined. Finally, based on the obtained disease data, the degree of disease of the highway bridge is accurately evaluated and determined. This step will provide a scientific and accurate basis for the maintenance and repair of highway bridges.

[0071] It is understandable that the damage data include but are not limited to crack width, peeling area, weathering area, rusting area, etc. The damage degree is determined by these damage data.

[0072] Preferably, determining the defect characteristics of the highway bridge based on the similarity includes: presetting a similarity threshold, and if the similarity is greater than or equal to the similarity threshold, determining that the highway bridge has defect characteristics that are consistent with the standard defect characteristic image; if the similarity is less than the similarity threshold, determining that the highway bridge does not have defect characteristics that are consistent with the standard defect characteristic image.

[0073] In this embodiment, a similarity threshold is set, which is determined in advance through rigorous calculations and experiments, in order to provide a clear reference standard in the subsequent determination of disease characteristics. Then, the actual disease image of the highway bridge is compared and analyzed with the standard disease characteristic image through image processing technology. In this process, the system will calculate the similarity between the two. The higher the similarity, the closer the actual disease image is to the standard disease characteristic image. When the similarity calculation result is greater than or equal to the preset similarity threshold, it can be determined that the highway bridge has disease characteristics consistent with the standard disease characteristic image. This means that the bridge may have common disease types in this area, such as cracks, corrosion, peeling, etc., and the characteristics of these diseases are consistent with the disease characteristics in the standard image. At this time, the system will mark these disease characteristics. On the contrary, if the similarity calculation result is less than the preset similarity threshold, it can be determined that the highway bridge does not have disease characteristics consistent with the standard disease characteristic image. This shows that the disease characteristics of the bridge in this area are inconsistent with the disease characteristics in the standard image, which may be caused by special disease types or local environmental factors. At this time, the system will ignore these areas and will not mark them as damaged areas. Through this method, the damage characteristics of highway bridges can be efficiently identified and evaluated, providing a scientific basis for their maintenance and management, and ensuring the safety and life of the bridges.

[0074] Preferably, the static performance evaluation value is calculated according to the following formula:

[0075]

[0076] Among them, Qs represents the static performance evaluation value, i represents the ordinal number of the disease, n represents the number of diseases, a represents the location evaluation weight, Wi represents the disease occurrence location of the i-th disease, b represents the characteristic evaluation weight, Ti represents the disease characteristic of the i-th disease, c represents the degree evaluation weight, and Li represents the disease degree of the i-th disease.

[0077] In this embodiment, since corresponding weights have been assigned to the damage characteristics, damage locations and damage degrees in step S1, the static performance evaluation value is obtained based on these weights and the actual conditions of the highway bridge damage. The sum of all location evaluation weights is 10, the sum of all feature evaluation weights is 10, and the sum of all degree evaluation weights is 10.

[0078] Preferably, the dynamic performance evaluation value of the highway bridge is determined according to the usage environment data, including: the usage environment data also includes the daily maximum wind speed and daily rainfall; environmental evaluation weights are assigned to the usage environment data, and the environmental evaluation weights include load-bearing evaluation weights, wind speed evaluation weights and rainfall evaluation weights; based on the load-bearing evaluation weights, the basic dynamic performance evaluation value of the highway bridge is determined according to the weight ratio; based on the wind speed evaluation weights and rainfall evaluation weights, the additional dynamic performance evaluation value of the highway bridge is determined according to the daily maximum wind speed and daily rainfall; the dynamic performance evaluation value of the highway bridge is determined according to the basic dynamic performance evaluation value and the additional dynamic performance evaluation value.

[0079] The dynamic performance evaluation value is calculated according to the following method: Qm=(Qm1+Qm2) / 2, where Qm is the dynamic performance evaluation value, Qm1 is the basic dynamic performance evaluation value, and Qm2 is the additional dynamic performance evaluation value.

[0080] Preferably, the basic dynamic performance evaluation value is calculated according to the following formula:

[0081]

[0082] Among them, Qm1 represents the basic dynamic performance evaluation value, m represents the usage time, d represents the load-bearing evaluation weight, and Bj represents the weight ratio on the jth day.

[0083] In this embodiment, the present application determines the dynamic performance evaluation value of the bridge by using a series of environmental data. These environmental data not only include the vehicle weight borne by the bridge, but also cover meteorological factors such as the maximum daily wind speed and daily rainfall. These data are crucial for evaluating the dynamic performance of the bridge because they can directly affect the structural safety and comfort of the bridge. During the evaluation process, each environmental data will be assigned a specific environmental evaluation weight, which represents the load evaluation weight, wind speed evaluation weight and rainfall evaluation weight respectively. The setting of this weight is to ensure that various factors are properly valued during the evaluation process, so as to obtain a more accurate and comprehensive evaluation result. First, based on the load evaluation weight, the basic dynamic performance evaluation value is determined according to the weight ratio borne by the bridge. Then, the additional dynamic performance evaluation value of the highway bridge is determined by using the wind speed evaluation weight and the rainfall evaluation weight, combined with the actual daily maximum wind speed and daily rainfall data. This shows that when evaluating the dynamic performance of the bridge, the possible impact of meteorological factors on it will also be taken into account, which is an important part of ensuring the comprehensiveness of the evaluation results. Finally, the basic dynamic performance evaluation value of the bridge is combined with the additional dynamic performance evaluation value to obtain the final dynamic performance evaluation value of the highway bridge.

[0084] Preferably, based on the wind speed evaluation weight and the rainfall evaluation weight, the additional dynamic performance evaluation value of the highway bridge is determined according to the daily maximum wind speed and the daily rainfall, including: determining the daily basic wind pressure value according to the daily maximum wind speed value, and determining the daily lateral wind pressure based on the daily basic wind pressure value; obtaining the wind load of the highway bridge, and determining the wind pressure ratio between the wind load and the daily lateral wind pressure; based on the wind speed evaluation weight and the rainfall evaluation weight, determining the additional dynamic performance evaluation value of the highway bridge according to the wind pressure ratio and the daily rainfall.

[0085] The additional dynamic performance evaluation value is calculated according to the following formula:

[0086]

[0087] Qm2 represents the additional dynamic performance evaluation value, m represents the usage time, e represents the wind speed evaluation weight, Fj represents the wind pressure ratio on the jth day, f represents the rainfall evaluation weight, and Rj represents the daily rainfall on the jth day.

[0088] In this embodiment, first, the basic wind pressure value of the day is calculated based on the maximum wind speed value of each day. This basic wind pressure value is an important parameter that takes into account the impact of wind speed on the wind load of the bridge. Among them, the basic wind pressure value P0 = V × V / 1.6, V represents the maximum wind speed of the day.

[0089] Next, the lateral wind pressure of each day is determined based on this basic wind pressure value, where the lateral wind pressure P = K1×K2×K3×K4×P0, K1 is the design wind speed frequency conversion coefficient; K2 is the wind body shape coefficient, which varies depending on the structure shape; K3 is the wind pressure height variation coefficient; K4 is the terrain and geographical conditions coefficient.

[0090] Subsequently, the wind load on the bridge is obtained, and the ratio between the wind load and the lateral wind pressure is calculated. Finally, all these data - wind speed evaluation weight, rainfall evaluation weight, wind pressure ratio and daily rainfall - are incorporated into a comprehensive evaluation model. Through this model, the dynamic performance of highway bridges under the influence of wind speed and rainfall can be more accurately evaluated to ensure the safety and reliability of the bridge. This process not only takes into account the impact of wind speed on the bridge, but also fully considers the important factor of rainfall, because in some cases, rainfall may aggravate the impact of wind load on the bridge, thereby affecting its dynamic performance. Through such an evaluation method, it can be ensured that the design and maintenance of the bridge meet safety standards, and it can also provide valuable data support for future bridge design and construction. This dynamic performance evaluation method based on the actual maximum wind speed and rainfall is not only scientific and reasonable, but also can effectively improve the accuracy and reliability of the evaluation, which is of great significance for ensuring the safe operation of bridge projects.

[0091] Preferably, determining the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value includes: correcting the static performance evaluation value according to the dynamic performance evaluation value to obtain the performance evaluation value of the highway bridge.

[0092] The performance evaluation value is calculated according to the following formula: Qz=Qs(1+Qm); wherein Qz represents the performance evaluation value, Qs represents the static performance evaluation value, and Qm represents the dynamic performance evaluation value.

[0093] Preferably, it is characterized in that the method further includes: determining an evaluation grade of the highway bridge according to the performance evaluation value; determining the remaining service life of the highway bridge according to the evaluation grade; and marking and warning the highway bridge according to the remaining service life.

[0094] In this embodiment, as an important transportation infrastructure, the safety and reliability of highway bridges are crucial to ensuring the smooth flow of transportation and the safety of life and property of the people. Therefore, a scientific and standardized management model must be implemented for the maintenance and management of highway bridges. Therefore, the overall rating of the highway bridge is first determined based on the performance evaluation value. Then, the remaining service life of the highway bridge is determined based on the rating results obtained. This remaining service life refers to the number of years that the bridge can still be used safely based on the current rating. The determination of this number of years requires comprehensive consideration of multiple factors such as the design life, maintenance status, and frequency of use of the bridge to ensure the safe operation of the bridge. Finally, based on this remaining service life, marking early warning measures are implemented for the highway bridge to ensure the safety and stability of the bridge. In general, by conducting regular performance evaluations on highway bridges, scientifically determining their ratings and remaining service lives, and implementing corresponding early warning measures accordingly, the safe operation of highway bridges can be effectively guaranteed, providing strong support for my country's transportation industry.

[0095] The present invention also discloses a highway bridge performance evaluation system based on multiple factors, which is used to apply the above-mentioned highway bridge performance evaluation method based on multiple factors, such as Figure 2 As shown, the system comprises:

[0096] The weight assignment module is used to divide the highway bridge disease data into disease characteristics, disease occurrence locations and disease degrees, assign feature evaluation weights to the disease characteristics, assign location evaluation weights to the disease occurrence locations, and assign degree evaluation weights to the disease degrees.

[0097] The acquisition module is used to photograph the surface of the highway bridge, obtain the highway bridge surface image, and obtain the highway bridge use environment data.

[0098] The image recognition module is used to perform image recognition on the surface image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge.

[0099] A performance evaluation module is used to determine the static performance evaluation value of the highway bridge based on the feature evaluation weight, location evaluation weight and degree evaluation weight, according to the location of the defect, the characteristics of the defect and the degree of the defect of the highway bridge; and to determine the dynamic performance evaluation value of the highway bridge according to the use environment data; and to determine the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value.

[0100] The present invention can comprehensively and objectively evaluate the performance of highway bridges by dividing the disease data into multiple factors and assigning corresponding weights, thus avoiding the one-sidedness of single factor evaluation. The image recognition module can accurately obtain the location, characteristics and degree of the disease, which is helpful to timely discover the problem and carry out targeted repairs. In addition, the static performance of the highway bridge and the dynamic performance of the use environment are comprehensively considered, and the evaluation results are more accurate and reliable. It is helpful to timely discover potential problems, achieve early warning, and avoid small problems from turning into major failures.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

[0102] The system provided in the above embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiment can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations of the present invention.

[0103] Those skilled in the art should be able to appreciate that the modules and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two, and the programs corresponding to the software modules and method steps can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the technical field. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

Claims

1. A highway bridge performance evaluation method based on multiple factors, characterized in that: The method comprises: The highway bridge disease data is divided into disease characteristics, disease occurrence locations and disease degrees, and a characteristic evaluation weight is assigned to the disease characteristics, a location evaluation weight is assigned to the disease occurrence locations, and a degree evaluation weight is assigned to the disease degrees; Photographing the surface of a highway bridge to obtain an apparent image of the highway bridge, performing image recognition on the apparent image of the highway bridge to obtain the location, characteristics and degree of damage of the highway bridge; Based on the characteristic evaluation weight, the location evaluation weight and the degree evaluation weight, the static performance evaluation value of the highway bridge is determined according to the location of the damage, the characteristics of the damage and the degree of the damage of the highway bridge; Acquiring the use environment data of the highway bridge, and determining the dynamic performance evaluation value of the highway bridge according to the use environment data; Determine the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value; Wherein, determining the dynamic performance evaluation value of the highway bridge according to the use environment data includes: the use environment data includes the use time and the daily maximum load-bearing weight of the highway bridge; Determining the design load of the highway bridge, and calculating the weight ratio between the maximum daily bearing weight and the design load; The dynamic performance evaluation value of the highway bridge is determined according to the ratio of the service time to the weight.

2. The highway bridge performance evaluation method based on multiple factors according to claim 1 is characterized in that: Performing image recognition on the surface image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge, including: Denoising the highway bridge apparent image to obtain a de-noised apparent image; Setting a standard defect characteristic image of a highway bridge, performing image recognition on the denoised apparent image based on the standard defect characteristic image, determining the similarity between the denoised apparent image and the standard defect characteristic image, and determining the defect characteristics of the highway bridge according to the similarity; Based on the disease characteristics, determining the disease location and disease data of the highway bridge; The damage degree of the highway bridge is determined according to the damage data.

3. The highway bridge performance evaluation method based on multiple factors according to claim 2 is characterized in that: Determining the damage characteristics of the highway bridge according to the similarity includes: A similarity threshold is preset, and if the similarity is greater than or equal to the similarity threshold, it is determined that the highway bridge has a defect feature that is consistent with the standard defect feature image; If the similarity is less than the similarity threshold, it is determined that the highway bridge does not have any damage feature consistent with the standard damage feature image.

4. The highway bridge performance evaluation method based on multiple factors according to claim 1 is characterized in that: The static performance evaluation value is calculated according to the following formula: Among them, Qs represents the static performance evaluation value, i represents the ordinal number of the disease, n represents the number of diseases, a represents the location evaluation weight, Wi represents the disease occurrence location of the i-th disease, b represents the characteristic evaluation weight, Ti represents the disease characteristic of the i-th disease, c represents the degree evaluation weight, and Li represents the disease degree of the i-th disease.

5. The highway bridge performance evaluation method based on multiple factors according to claim 1 is characterized in that: Determining the dynamic performance evaluation value of the highway bridge according to the use environment data includes: The usage environment data also includes daily maximum wind speed and daily rainfall; Assigning environmental assessment weights to the use environmental data, wherein the environmental assessment weights include load assessment weights, wind speed assessment weights, and rainfall assessment weights; Based on the load evaluation weight, determining the foundation dynamic performance evaluation value of the highway bridge according to the weight ratio; Based on the wind speed evaluation weight and the rainfall evaluation weight, determining the additional dynamic performance evaluation value of the highway bridge according to the daily maximum wind speed and the daily rainfall; Determining the dynamic performance evaluation value of the highway bridge according to the basic dynamic performance evaluation value and the additional dynamic performance evaluation value; The dynamic performance evaluation value is calculated as follows: Qm=(Qm1+Qm2) / 2, Qm is the dynamic performance evaluation value, Qm1 is the basic dynamic performance evaluation value, and Qm2 is the additional dynamic performance evaluation value.

6. The highway bridge performance evaluation method based on multiple factors according to claim 5 is characterized in that: The basic dynamic performance evaluation value is calculated according to the following formula: Among them, Qm1 represents the basic dynamic performance evaluation value, m represents the usage time, d represents the load-bearing evaluation weight, and Bj represents the weight ratio on the jth day.

7. The highway bridge performance evaluation method based on multiple factors according to claim 5 is characterized in that: Based on the wind speed evaluation weight and the rainfall evaluation weight, the additional dynamic performance evaluation value of the highway bridge is determined according to the daily maximum wind speed and the daily rainfall, including: Determining a daily basic wind pressure value according to the daily maximum wind speed value, and determining a daily lateral wind pressure based on the daily basic wind pressure value; Obtaining the wind load of the highway bridge, and determining the wind pressure ratio between the wind load and the daily lateral wind pressure; Based on the wind speed evaluation weight and the rainfall evaluation weight, determining the additional dynamic performance evaluation value of the highway bridge according to the wind pressure ratio and the daily rainfall; The additional dynamic performance evaluation value is calculated according to the following formula: Qm2 represents the additional dynamic performance evaluation value, m represents the usage time, e represents the wind speed evaluation weight, Fj represents the wind pressure ratio on the jth day, f represents the rainfall evaluation weight, and Rj represents the daily rainfall on the jth day.

8. The highway bridge performance evaluation method based on multiple factors according to claim 1 is characterized in that: Determining the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value includes: Correcting the static performance evaluation value according to the dynamic performance evaluation value to obtain a performance evaluation value of the highway bridge; The performance evaluation value is calculated according to the following formula: Qz=Qs(1+Qm); Among them, Qz represents the performance evaluation value, Qs represents the static performance evaluation value, and Qm represents the dynamic performance evaluation value.

9. The highway bridge performance evaluation method based on multiple factors according to claim 1 is characterized in that: The method further comprises: Determining the evaluation grade of the highway bridge according to the performance evaluation value; Determine the remaining service life of the highway bridge according to the evaluation level; The highway bridge is marked and warned according to the remaining service life.

10. A highway bridge performance evaluation system based on multiple factors, used for applying the highway bridge performance evaluation method based on multiple factors as claimed in any one of claims 1 to 9, characterized in that: The system comprises: A weight assignment module is used to divide highway bridge disease data into disease characteristics, disease occurrence locations and disease degrees, assign a feature evaluation weight to the disease characteristics, assign a location evaluation weight to the disease occurrence locations, and assign a degree evaluation weight to the disease degrees; An acquisition module is used to photograph the surface of the highway bridge, obtain the surface image of the highway bridge, and obtain the use environment data of the highway bridge; An image recognition module is used to perform image recognition on the surface image of the highway bridge to obtain the location, characteristics and degree of the damage of the highway bridge; A performance evaluation module is used to determine the static performance evaluation value of the highway bridge based on the feature evaluation weight, location evaluation weight and degree evaluation weight, according to the location of the defect, the characteristics of the defect and the degree of the defect of the highway bridge; and to determine the dynamic performance evaluation value of the highway bridge according to the use environment data; and to determine the performance evaluation value of the highway bridge according to the static performance evaluation value and the dynamic performance evaluation value.

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