Road and bridge maintenance auxiliary decision-making system based on BIM

Abstract

The invention relates to the technical field of road bridge maintenance, in particular to a BIM (Building Information Modeling)-based road bridge maintenance auxiliary decision-making system, which comprises a database used for storing full life cycle data, historical environment data and historical traffic load data corresponding to a road bridge; the information management module is used for constructing a road bridge BIM model and determining a key structure of a road bridge based on the road bridge BIM model; the image acquisition module is used for acquiring road and bridge images in real time; the road bridge evaluation module is used for determining an environmental influence index and a traffic influence index of the road bridge and determining a disease condition of a key structure area of the road bridge; and the auxiliary decision analysis module is used for determining a disease risk index of the road bridge, judging whether the disease risk index meets a maintenance standard or not, and if yes, determining a maintenance type and a maintenance area of the road bridge. The road and bridge disease condition can be accurately and comprehensively evaluated, and the maintenance effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of road and bridge maintenance, and particularly to a BIM-based road and bridge maintenance auxiliary decision-making system. Background Technique

[0002] As an important part of transportation, the safety and stability of roads and bridges are directly related to the safety of public travel and the normal operation of the social economy. With the growth of traffic volume and the influence of the natural environment, the structures of roads and bridges are gradually aging and the diseases are increasing. Therefore, it is crucial to carry out road and bridge maintenance in a timely manner. The formulation of traditional road and bridge maintenance measures often relies on expert experience and personal judgment. This method cannot meet the growing maintenance needs and is prone to decision-making deviations due to individual differences. In recent years, with the rapid development of information technology, a large amount of data has been accumulated in the process of road and bridge maintenance, including but not limited to the structural data of bridges, previous maintenance records, technical condition scores, etc. These data provide the possibility for the digitalization of bridge maintenance management.

[0003] Chinese Patent Publication No. CN118586896B discloses a bridge maintenance management system and method based on BIM technology. By generating an environmental information detection instruction for the bridge based on a preset time interval, and obtaining real-time environmental monitoring data around the bridge through sensors installed on the bridge according to the environmental information detection instruction; extracting temperature feature data and humidity feature data in the real-time environmental monitoring data through clustering processing, and inputting the initial environmental monitoring data into a preset bridge disease prediction model for identification to obtain the real-time bridge disease state, wherein the bridge disease prediction model is constructed based on a CNN network and an LSTM network, judging the real-time bridge disease state and generating a bridge warning instruction, and generating a bridge maintenance instruction, and transmitting the bridge maintenance instruction to the bridge maintenance management module.

[0004] The existing technology has the following problems: only considering the influence of temperature and humidity on the bridge disease state, it is difficult to accurately and comprehensively evaluate the bridge disease situation, resulting in poor maintenance effects. Summary of the Invention

[0005] Therefore, the present invention provides a BIM-based road and bridge maintenance auxiliary decision-making system to overcome the problem that the existing technology does not consider the differences in structures and traffic factors affecting road and bridge maintenance, resulting in poor maintenance effects.

[0006] To achieve the above object, the present invention provides a BIM-based road and bridge maintenance auxiliary decision-making system, including: A database for storing the full life cycle data, historical environmental data, and historical traffic load data corresponding to the road and bridge; An information management module, which is connected to the database, is used to construct a road and bridge BIM model based on the whole life cycle data of the road and bridge, and determine the key structures of the road and bridge based on the road and bridge BIM model; An image acquisition module, which is used to collect road and bridge images in real time. Among them, the road and bridge images include images of the key structure areas and non-key structure areas of the road and bridge; A road and bridge evaluation module, which is respectively connected to the database, the information management module and the image acquisition module, is used to determine the environmental impact index of the road and bridge based on the historical environmental data, and determine the traffic impact index of the road and bridge based on the historical traffic load data, and determine the disease conditions of the key structure areas of the road and bridge based on the road and bridge BIM model and the key structure area images, including disease types and disease degrees; An auxiliary decision-making analysis module, which is respectively connected to the image acquisition module and the road and bridge evaluation module, is used to determine the disease risk index of the road and bridge based on the environmental impact index and traffic impact index of the road and bridge, and determine whether it meets the maintenance standard based on the disease risk index of the road and bridge and the disease conditions of the key structure areas of the road and bridge. If it meets the standard, determine the maintenance type of the road and bridge based on the disease conditions of the key structure areas of the road and bridge, and determine the maintenance area of the road and bridge based on the road and bridge BIM model and the road and bridge images.

[0007] Furthermore, the information management module conducts structural analysis on the road and bridge based on the road and bridge BIM model to determine several alternative structures, and determines the key structures of the road and bridge based on the influence coefficients of the changes in the stiffness of each alternative structure on the road and bridge.

[0008] Furthermore, the road and bridge evaluation module includes: An environmental evaluation sub-module, which is connected to the database, is used to determine several environmental significantly influencing parameters based on the historical environmental data, and determine the environmental impact weights corresponding to each environmental significantly influencing parameter to construct an environmental impact evaluation model of the road and bridge, and determine the environmental impact index of the road and bridge based on the environmental impact evaluation model.

[0009] Furthermore, the road and bridge evaluation module also includes: A traffic evaluation sub-module, which is connected to the database, is used to determine the traffic impact value of a single traffic load parameter on the road and bridge based on the historical traffic load data, and determine the traffic impact index of the road and bridge based on the traffic impact values corresponding to each traffic load parameter. Among them, the traffic load parameters include traffic flow, vehicle type ratio, driving speed and braking frequency.

[0010] Further, the road and bridge assessment module further includes: A disease assessment sub-module, which is respectively connected to the information management module, the environment assessment sub-module, and the traffic assessment sub-module, and is used to construct a disease analysis model of the road and bridge based on the road and bridge BIM model, the environmental impact index, and the traffic impact index, and input the key structure area image into the disease analysis model to obtain the disease conditions of the key structure area of the road and bridge, including disease types and disease degrees.

[0011] Further, the auxiliary decision-making analysis module includes: A disease risk analysis sub-module, which is respectively connected to the environment assessment sub-module and the traffic assessment sub-module, and is used to determine the environmental impact coefficient of environmental parameters on the disease risk of the road and bridge and the traffic impact coefficient of traffic load parameters on the disease risk of the road and bridge based on the comparison results of the environmental impact index of the road and bridge and the standard environmental impact index and the comparison results of the traffic impact index and the standard traffic impact index, and determine the disease risk index of the road and bridge based on the environmental impact index, the environmental impact coefficient, the traffic impact index, and the traffic impact coefficient.

[0012] Further, the auxiliary decision-making analysis module further includes: A maintenance determination sub-module, which is respectively connected to the disease assessment sub-module and the disease risk analysis sub-module, and is used to determine whether it meets the maintenance standard based on the comparison result of the disease risk index of the road and bridge and the standard disease risk index and the comparison result of the disease conditions of the key structure area of the road and bridge and the standard disease conditions.

[0013] Further, the auxiliary decision-making analysis module further includes: A maintenance type determination sub-module, which is respectively connected to the disease assessment sub-module and the maintenance determination sub-module, and is used to determine the maintenance type of the road and bridge based on the determination result of the maintenance determination sub-module that meets the maintenance standard, based on the disease conditions of the key structure area of the road and bridge and the preset disease maintenance comparison table.

[0014] Further, the auxiliary decision-making analysis module further includes: A maintenance area determination sub-module, which is respectively connected to the maintenance determination sub-module, the image acquisition module, and the information management module, and is used to divide the non-key structure area into several candidate areas based on the determination result of the maintenance determination sub-module that meets the maintenance standard, based on the road and bridge BIM model, and determine the maintenance area of the road and bridge based on the comparison result of each candidate area image and the key structure area image.

[0015] Further, the information management module performs a structural analysis on the road and bridge BIM model to obtain the structural deformation limits of each structure of the road and bridge, and determines a number of alternative structures based on the comparison results between the structural deformation limits of each structure and the preset deformation limits.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: By setting up an information management module to construct a road and bridge BIM model based on the full-life cycle data, a model basis is provided for subsequent evaluation and analysis. By determining the key structures of the road and bridge, the subsequent data processing volume can be reduced and the analysis efficiency can be improved. By setting up a road and bridge evaluation module, the influence degrees of environmental factors and traffic load parameters on the road and bridge are quantified, providing a basis for subsequent disease risk assessment. By determining the disease conditions of the key structure areas of the road and bridge through the road and bridge BIM model and the images of the key structure areas, the disease conditions of the key structure areas of the road and bridge can be accurately identified, providing accurate disease information for maintenance decision-making and improving the maintenance effect. By setting up an auxiliary decision-making analysis module to determine the disease risk index of the road and bridge based on the environmental impact index and traffic impact index of the road and bridge, the influences of environmental factors and traffic factors on the road and bridge can be comprehensively considered, and the disease risks of the road and bridge can be comprehensively evaluated. According to the disease risk index of the road and bridge and the disease conditions of the key structure areas, it is determined whether the maintenance standard is met, and the corresponding maintenance type and maintenance area are determined, which can improve the maintenance effect and maintenance efficiency.

[0017] Further, the road and bridge evaluation module of the present invention can focus on the environmental parameters that have a significant impact on the road and bridge and achieve accurate data analysis by setting up an environmental evaluation sub-module to determine the significant environmental impact parameters. By determining the environmental impact weights corresponding to each significant environmental impact parameter, the importance of different environmental factors on the road and bridge can be fully considered, making the constructed environmental impact evaluation model more scientific and reasonable. The constructed environmental impact evaluation model can quantify the qualitative environmental impact and convert it into a specific environmental impact index, intuitively reflecting the degree of environmental impact on the road and bridge, providing a quantitative basis for maintenance decision-making, and thus improving the maintenance effect.

[0018] Further, the road and bridge evaluation module of the present invention can specifically quantify the complex traffic impact factors by setting up a traffic evaluation sub-module to determine the traffic impact value of a single traffic load parameter on the road and bridge, making the traffic impact evaluation more scientific and precise. By comprehensively considering various traffic load parameters such as traffic flow, vehicle type ratio, driving speed, and braking frequency to determine the traffic impact index of the road and bridge, the influence of traffic factors on the road and bridge is comprehensively reflected, avoiding inaccurate evaluation caused by only focusing on a single factor, improving the accuracy of subsequent disease risk assessment of the road and bridge, and thus improving the maintenance effect.

[0019] Furthermore, the road and bridge assessment module of the present invention constructs an accurate disease analysis model based on the road and bridge BIM model, environmental impact index, and traffic impact index by setting up a disease assessment sub-module. By combining the images of key structural areas with the model, fully considering the impacts of environmental and traffic factors on diseases, it accurately identifies the disease conditions, provides an accurate basis for subsequent maintenance assessment and maintenance decision-making, and improves the maintenance effect.

[0020] Furthermore, the auxiliary decision-making analysis module of the present invention can accurately identify the impact degrees of environmental and traffic factors on the disease risks of road and bridges by setting up a disease risk analysis sub-module to respectively determine the environmental impact coefficient of environmental parameters on the disease risks of road and bridges and the traffic impact coefficient of traffic load parameters on the disease risks of road and bridges. By combining the environmental impact index, traffic impact index, and their corresponding coefficients, it scientifically and comprehensively quantifies the disease risk index of road and bridges, improves the scientificity and accuracy of disease risk assessment, and further improves the maintenance effect.

[0021] Furthermore, the auxiliary decision-making analysis module of the present invention determines whether it meets the maintenance standards based on the comparison results between the disease risk index of the road and bridge and the standard disease risk index and the comparison results between the disease conditions in the key structural areas of the road and bridge and the standard disease conditions by setting up a maintenance determination sub-module, avoiding maintenance assessment based solely on experience or single factors. It can accurately judge whether the road and bridge meet the maintenance standards, improve the accuracy of maintenance assessment, and further improve the maintenance effect.

[0022] Furthermore, the auxiliary decision-making analysis module of the present invention determines the maintenance type of the road and bridge according to the disease conditions in the key structural areas of the road and bridge and in combination with a preset disease maintenance comparison table by setting up a maintenance type determination sub-module, meeting the maintenance requirements for different disease types and improving the maintenance efficiency and effect.

[0023] Furthermore, the auxiliary decision-making analysis module of the present invention can accurately locate the disease positions and reasonably plan the maintenance scope by setting up a maintenance area determination sub-module in combination with the road and bridge BIM model and image comparison, improving the maintenance efficiency and effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is the structural block diagram of the BIM-based road and bridge maintenance auxiliary decision-making system according to an embodiment of the present invention; Figure 2 is the structural block diagram of the road and bridge assessment module according to an embodiment of the present invention; Figure 3 is the structural block diagram of the auxiliary decision-making analysis module according to an embodiment of the present invention; Figure 4 is the logical judgment diagram for determining whether it meets the maintenance standards according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] In order to make the objectives and advantages of the present invention more clearly understood, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0027] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0028] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] Please refer to Figures 1-4 as shown Figure 1 which is the structural block diagram of the BIM-based road and bridge maintenance auxiliary decision-making system according to the embodiment of the present invention; Figure 2 which is the structural block diagram of the road and bridge evaluation module according to the embodiment of the present invention; Figure 3 which is the structural block diagram of the auxiliary decision-making analysis module according to the embodiment of the present invention; Figure 4 which is the logical judgment diagram for determining whether it meets the maintenance standards according to the embodiment of the present invention. The embodiment of the present invention provides a BIM-based road and bridge maintenance auxiliary decision-making system, including: a database for storing the full life cycle data, historical environmental data, and historical traffic load data corresponding to the road and bridge; In implementation, the whole life cycle data corresponding to road bridges includes data from various stages of road bridge planning, design, construction, and operation. For example, in the planning stage, the design task statement clarifies the design requirements, functional positioning, expected service life, etc. of the bridge; in the design stage, design drawings (including structural design drawings, architectural drawings, electrical and mechanical system design drawings, etc.), design parameters (span, width, height, design load, etc. of the bridge), material specifications, etc.; in the construction stage, construction records (concrete pouring records, steel bar binding records, prestress application records, etc.), as-built drawings, etc.; in the operation stage, inspection records (appearance inspection, structural inspection, etc. of the road bridge), inspection reports (structural integrity inspection, load-bearing capacity inspection, etc.). Environmental data includes environmental parameter data such as temperature, humidity, wind speed, rainfall, etc., and traffic load data includes traffic load parameter data such as traffic flow, vehicle type ratio, driving speed, and braking frequency.

[0030] An information management module, which is connected to the database, is used to construct a BIM model of the road bridge based on the whole life cycle data of the road bridge, and determine the key structure of the road bridge based on the BIM model of the road bridge; In implementation, the specific method for constructing the BIM model of the road bridge is not limited. For example, it can be based on professional BIM software for road bridge modeling, such as Bentley's OpenBridgeDesigner or Autodesk's Civil3D, etc., as long as it can generate a complete structural model of the road bridge. The constructed BIM model of the road bridge contains complete information of the road bridge.

[0031] Specifically, the information management module performs structural analysis on the road bridge based on the BIM model of the road bridge to determine a number of alternative structures, and determines the key structure of the road bridge based on the influence coefficient of the change in stiffness of each alternative structure on the road bridge.

[0032] Specifically, the information management module performs structural analysis on the road bridge based on the BIM model of the road bridge to obtain the structural deformation limit values of each structure of the road bridge, and determines a number of alternative structures based on the comparison results of the structural deformation limit values of each structure and the preset deformation limit values.

[0033] In a specific embodiment, the road bridge includes structures such as bridge spans, bridge decks, bearings, bridge piers, and abutments. The BIM model of the road bridge can be imported into finite element analysis software to perform overall structural analysis on the road bridge, apply loads and set boundary conditions based on the actual situation to obtain the deformation conditions of each structure of the road bridge under different load combinations, obtain deformation data such as displacements and rotations of each component, perform standardized processing on the deformation data of each component, and determine the mean value of the standardized deformation data as the structural deformation limit value corresponding to each structure.

[0034] In another specific embodiment, the structural deformation limits of each structure of the road and bridge can be obtained based on the structural analysis model integrated with the road and bridge BIM model. The neural network model can be trained with the road and bridge data passing the qualification test and the damage degree or health status of the structure in the historical data as the input and the structural deformation limits of each structure of the road and bridge as the output. After the training is completed, the obtained structural analysis model can be used to evaluate the health status of the road and bridge structure in real time and obtain the structural deformation limits of each structure of the road and bridge.

[0035] It can be understood that if the structural deformation limit of any structure is greater than the preset deformation limit, then this structure is determined as an alternative structure. The actual implementer can set the preset deformation limit based on the actual situation. Preferably, the value range of the preset deformation limit is set to 0.6 - 0.7.

[0036] By comparing the structural deformation limits of each structure of the road and bridge with the preset deformation limits, the present invention can accurately identify the structures with potential risks. By analyzing the influence coefficient of the stiffness change of each alternative structure on the road and bridge, it can accurately locate the key structures that have a greater impact on the overall performance and safety of the bridge, improving the maintenance efficiency.

[0037] An image acquisition module, which is used to collect road and bridge images in real time. Among them, the road and bridge images include the key structure area images and non - key structure area images of the road and bridge; In implementation, the acquisition method or device of the road and bridge images is not specifically limited. The road and bridge images include the complete structure images of the road and bridge. The key structure area image is the image within a preset range centered on the key structure. In the actual application process, the preset range can be a circular area with a radius of 1.5 - 2 times the maximum diameter length of the key structure or a square area with a length of 1.5 - 2 times the maximum diameter length of the key structure; the non - key structure area image is the area image of the road and bridge image except the key structure area image.

[0038] A road and bridge evaluation module, which is respectively connected to the database, the information management module and the image acquisition module, and is used to determine the environmental impact index of the road and bridge based on the historical environmental data, and determine the traffic impact index of the road and bridge based on the historical traffic load data, and determine the disease conditions of the key structure area of the road and bridge based on the road and bridge BIM model and the key structure area image, including the disease type and the disease degree; Specifically, the road and bridge evaluation module includes: An environmental assessment sub-module, which is connected to the database, is used to determine a number of environmental significant impact parameters based on the historical environmental data, and determine the environmental impact weights corresponding to each environmental significant impact parameter, so as to construct an environmental impact assessment model for road bridges, and determine the environmental impact index of road bridges based on the environmental impact assessment model.

[0039] In implementation, the environmental parameter data that significantly affects road bridges is determined through the single-variable analysis method. Each environmental parameter data in the historical environmental data is used as a single variable, and the other environmental parameter data is adjusted to the standard environmental parameter data. Thus, the life simulation of the road bridge is carried out, and the environmental parameter with a simulated life lower than the preset life is determined as the environmental significant impact parameter.

[0040] It can be understood that the life of the road bridge obtained after adjusting each environmental parameter data to the standard environmental parameter data for road bridge life simulation is determined as the preset life, and the mean value of each environmental parameter data in the historical environmental data is set as the standard environmental parameter data.

[0041] It can be understood that a finite element model can be established, a degradation model is defined for each material, and a fatigue damage model is defined for each structural member, so as to construct a life simulation model, and the life simulation of the road bridge is carried out based on the life simulation model.

[0042] In implementation, the environmental impact weights corresponding to each environmental significant impact parameter are determined based on the simulated life and the preset life corresponding to each environmental significant impact parameter. For example, if the simulated life of any environmental significant impact parameter is MS and the preset life is YS, then the environmental impact weight W corresponding to this environmental significant impact parameter is W = (YS - MS) / YS.

[0043] It can be understood that the environmental impact assessment model is: HZ = ∑ n i=1 (Wi × XHi), where i = 1, 2,..., n; n is the number of environmental significant impact parameters, Wi is the environmental impact weight corresponding to the i-th environmental significant impact parameter, XHi is the mean value after standardizing the i-th environmental significant impact parameter data, and HZ is the environmental impact index.

[0044] It can be understood that the method of standardization is the prior art. For example, range standardization, Z-score standardization, etc., as long as it can map the environmental significant impact parameter data to the range of 0 to 1, it will not be elaborated here.

[0045] The road and bridge evaluation module of the present invention determines the significantly environmental impact parameters by setting up an environmental evaluation sub-module, which can focus on the environmental parameters that have a significant impact on road and bridges, achieve precise data analysis. By determining the environmental impact weights corresponding to each significantly environmental impact parameter, it can fully consider the importance of different environmental factors on road and bridges, making the constructed environmental impact assessment model more scientific and reasonable. The constructed environmental impact assessment model can quantify the qualitative environmental impact and convert it into a specific environmental impact index, intuitively reflecting the degree of environmental impact on road and bridges, providing a quantitative basis for maintenance decision-making, and thus improving the maintenance effect.

[0046] Specifically, the road and bridge evaluation module further includes: A traffic evaluation sub-module, which is connected to the database and is used to determine the traffic impact value of a single traffic load parameter on the road and bridge based on the historical traffic load data, and determine the traffic impact index of the road and bridge based on the traffic impact values corresponding to each traffic load parameter. The traffic load parameters include traffic flow, vehicle type ratio, driving speed, and braking frequency.

[0047] In implementation, the mean value after standardizing a single traffic load parameter is determined as the traffic impact value of the corresponding traffic load parameter on the road and bridge, and the sum of the traffic impact values of each traffic load parameter on the road and bridge is determined as the traffic impact index of the road and bridge.

[0048] It can be understood that the vehicle type ratio is the ratio of the number of small vehicles to the number of large vehicles passing through. Small vehicles include non-motor vehicles and micro and small passenger cars, and large vehicles are motor vehicles other than small vehicles. The traffic flow is the number of vehicles passing through the road and bridge per hour, the driving speed is the average driving speed of the vehicles passing through the road and bridge, the braking frequency is the number of vehicle braking times per hour passing through the road and bridge, and the acquisition frequency of traffic load parameters is once every 1 hour to 2 hours.

[0049] The road and bridge evaluation module of the present invention determines the traffic impact value of a single traffic load parameter on the road and bridge by setting up a traffic evaluation sub-module, specifically quantifies the complex traffic impact factors, making the traffic impact assessment more scientific and refined. By comprehensively considering various traffic load parameters such as traffic flow, vehicle type ratio, driving speed, and braking frequency to determine the traffic impact index of the road and bridge, it comprehensively reflects the impact of traffic factors on the road and bridge, avoids inaccurate assessment caused by only focusing on a single factor, improves the accuracy of subsequent disease risk assessment of the road and bridge, and thus improves the maintenance effect.

[0050] Specifically, the road and bridge evaluation module further includes: The disease assessment sub-module is respectively connected to the information management module, the environmental assessment sub-module and the traffic assessment sub-module, and is used to construct a disease analysis model of the road and bridge based on the road and bridge BIM model, the environmental impact index and the traffic impact index, and input the key structural area image into the disease analysis model to obtain the disease conditions of the key structural area of the road and bridge, including the disease type and the disease degree.

[0051] In implementation, a training sample can be constructed based on the road and bridge BIM model, environmental impact index, traffic impact index, road and bridge image and the corresponding disease conditions that pass the qualification test in the historical data, and the initial neural network model can be trained to obtain the disease analysis model of the road and bridge.

[0052] It can be understood that the disease types include cracks, spalling, exposed reinforcement, bearing damage, etc., and the disease degrees include slight, medium and severe. Slight crack: the width is less than 0.2mm, medium crack: the width is greater than or equal to 0.2mm and less than 0.5mm, severe crack: the width is greater than 0.5mm, slight spalling: the area ratio is less than 5%, medium spalling: the area ratio is greater than or equal to 5% and less than 10%, severe spalling: the area ratio is greater than 10%, slight exposed reinforcement: the length is less than 5cm, medium exposed reinforcement: the length is greater than or equal to 5cm and less than 10cm, severe exposed reinforcement: the length is greater than 10cm, slight bearing damage: local wear and cracking, medium bearing damage: partial voiding and displacement exceeding the limit of the bearing, severe bearing damage: the overall failure of the bearing and obvious displacement of the beam body.

[0053] The road and bridge assessment module of the present invention sets up a disease assessment sub-module to construct an accurate disease analysis model based on the road and bridge BIM model, environmental impact index and traffic impact index, combines the key structural area image with the model, fully considers the influence of environmental factors and traffic factors on diseases, accurately identifies the disease conditions, provides an accurate basis for subsequent maintenance assessment and maintenance decision-making, and improves the maintenance effect.

[0054] The auxiliary decision-making analysis module is respectively connected to the image acquisition module and the road and bridge assessment module, and is used to determine the disease risk index of the road and bridge based on the environmental impact index and traffic impact index of the road and bridge, and determine whether it meets the maintenance standard based on the disease risk index of the road and bridge and the disease conditions of the key structural area of the road and bridge. If it meets the standard, determine the maintenance type of the road and bridge based on the disease conditions of the key structural area of the road and bridge, and determine the maintenance area of the road and bridge based on the road and bridge BIM model and the road and bridge image.

[0055] Specifically, the auxiliary decision-making analysis module includes: The disease risk analysis sub-module, which is respectively connected to the environmental assessment sub-module and the traffic assessment sub-module, is used to determine the environmental impact coefficient of environmental parameters on the disease risk of the road bridge and the traffic impact coefficient of traffic load parameters on the disease risk of the road bridge based on the comparison results of the environmental impact index of the road bridge and the standard environmental impact index and the comparison results of the traffic impact index and the standard traffic impact index, and determine the disease risk index of the road bridge based on the environmental impact index, the environmental impact coefficient, the traffic impact index and the traffic impact coefficient.

[0056] In implementation, the ratio of the environmental impact index of the road bridge to the standard environmental impact index is determined as the environmental impact coefficient of environmental parameters on the disease risk of the road bridge, and the ratio of the traffic impact index to the standard traffic impact index is determined as the traffic impact coefficient of traffic load parameters on the disease risk of the road bridge. Then, the disease risk index BZ of the road bridge = HX×HZ + JX×JZ, where HX = HZ / BH, JX = JZ / BJ, HZ is the environmental impact index, BH is the standard environmental impact index, JZ is the traffic impact index, BJ is the standard traffic impact index, HX is the environmental impact coefficient, and JX is the traffic impact coefficient.

[0057] It can be understood that the actual implementers can set the standard environmental impact index based on the actual situation or the maximum value of the environmental impact index that passes the qualification test in the historical data. The actual implementers can set the standard traffic impact index based on the actual situation or the maximum value of the traffic impact index that passes the qualification test in the historical data. Preferably, the value range of the standard traffic impact index is set to 2-3.5.

[0058] By setting the disease risk analysis sub-module to respectively determine the environmental impact coefficient of environmental parameters on the disease risk of the road bridge and the traffic impact coefficient of traffic load parameters on the disease risk of the road bridge, the auxiliary decision-making analysis module of the present invention can accurately identify the influence degree of environmental factors and traffic factors on the disease risk of the road bridge. By combining the environmental impact index, the traffic impact index and their corresponding coefficients, it scientifically and comprehensively quantifies the disease risk index of the road bridge, improves the scientificity and accuracy of the disease risk assessment, and further improves the maintenance effect.

[0059] Specifically, the auxiliary decision-making analysis module further includes: The maintenance determination sub-module, which is respectively connected to the disease assessment sub-module and the disease risk analysis sub-module, is used to determine whether it meets the maintenance standard based on the comparison result of the disease risk index of the road bridge and the standard disease risk index and the comparison result of the disease condition in the key structural area of the road bridge and the standard disease condition.

[0060] In implementation, if the disease risk index of a road bridge is greater than the standard disease risk index and the disease conditions in the key structural areas of the road bridge meet the standard disease conditions, it meets the maintenance standard; otherwise, it does not meet the maintenance standard. It can be understood that actual implementers can set the standard disease risk index and the standard disease conditions according to the actual situation or based on the disease conditions that passed the qualification test in historical data. The standard disease conditions can be set as medium cracks, severe cracks, medium spalling, severe spalling, medium steel bar exposure, severe steel bar exposure, medium bearing damage, and severe bearing damage.

[0061] The auxiliary decision-making analysis module of the present invention determines whether it meets the maintenance standard based on the comparison result between the disease risk index of the road bridge and the standard disease risk index and the comparison result between the disease conditions in the key structural areas of the road bridge and the standard disease conditions by setting a maintenance determination sub-module, avoiding maintenance evaluation based solely on experience or a single factor, accurately judging whether the road bridge meets the maintenance standard, improving the accuracy of maintenance evaluation, and further enhancing the maintenance effect.

[0062] Specifically, the auxiliary decision-making analysis module further includes: A maintenance type determination sub-module, which is respectively connected to the disease assessment sub-module and the maintenance determination sub-module, and is used to determine the maintenance type of the road bridge based on the determination result of the maintenance determination sub-module indicating that it meets the maintenance standard, based on the disease conditions in the key structural areas of the road bridge and a preset disease maintenance comparison table.

[0063] In implementation, actual implementers can set the preset disease maintenance comparison table according to the actual situation. For example, the maintenance type corresponding to medium cracks is to repair by pressure grouting, such as injecting epoxy resin or polyurethane grouting glue to repair the cracks; the maintenance type corresponding to severe cracks is to carry out structural reinforcement, such as using carbon fiber cloth pasting, increasing the cross-section and other reinforcement methods, and at the same time chiseling and redoing the concrete around the cracks; the maintenance type corresponding to medium spalling is to carry out interface treatment on the spalling area, and then use epoxy mortar or fine aggregate concrete for layered repair to restore the flatness of the concrete surface; the maintenance type corresponding to severe spalling is to locally demolish and reconstruct the severely spalled area, and if the main load-bearing structure is involved, structural reinforcement design and construction are also required; the maintenance type corresponding to medium steel bar exposure is to remove rust from the corroded steel bars, and then use epoxy mortar to wrap and repair the exposed steel bar parts, and strengthen the observation after repair; the maintenance type corresponding to severe steel bar exposure is to replace the severely corroded steel bars, and then carry out structural reinforcement or local reconstruction; the maintenance type corresponding to medium bearing damage is to replace the damaged bearing components, reinstall the bearing, and temporarily support the beam body to ensure the structural stability during the replacement process; the maintenance type corresponding to severe bearing damage is to replace all the bearings, and reset and structurally reinforce the beam body, or carry out beam body replacement or reinforcement treatment.

[0064] The auxiliary decision-making analysis module of the present invention determines the maintenance type of the road and bridge by setting a maintenance type determination sub-module according to the disease conditions in the key structural areas of the road and bridge, and combines with a preset disease maintenance comparison table to meet the maintenance requirements of different disease types and improve the maintenance efficiency and effect.

[0065] Specifically, the auxiliary decision-making analysis module further includes: A maintenance area determination sub-module, which is respectively connected to the maintenance determination sub-module, the image acquisition module, and the information management module, and is used to, based on the determination result of the maintenance determination sub-module that meets the maintenance standard, divide the non-key structural areas into several candidate areas based on the BIM model of the road and bridge, and determine the maintenance area of the road and bridge based on the comparison result between the images of each candidate area and the image of the key structural area.

[0066] In implementation, several candidate areas can be evenly divided according to the area of the non-key structural areas. The actual implementer can set the number of candidate areas according to the actual situation, and correspondingly divide the road and bridge images based on each candidate area. Each candidate area has a corresponding candidate area image. The regional features of the key structural area image are extracted based on a deep learning model to construct a standard feature library. The image feature vector of each candidate area image is compared with the standard feature library to determine the corresponding cosine similarity. The candidate areas with a cosine similarity greater than the preset similarity are determined as the maintenance areas. The actual implementer can set the preset similarity according to the actual situation. Preferably, the value range of the preset similarity is set to 0.7-0.8.

[0067] The auxiliary decision-making analysis module of the present invention can accurately locate the disease location and reasonably plan the maintenance scope by setting the maintenance area determination sub-module in combination with the BIM model of the road and bridge and image comparison, thereby improving the maintenance efficiency and effect.

[0068] The present invention constructs a BIM model of a road bridge based on the full-life cycle data by setting up an information management module, providing a model basis for subsequent evaluation and analysis. By determining the key structures of the road bridge, the subsequent data processing volume can be reduced and the analysis efficiency can be improved. By setting up a road bridge evaluation module, the influence degrees of environmental factors and traffic load parameters on the road bridge are quantified, providing a basis for subsequent disease risk assessment. By determining the disease conditions in the key structure areas of the road bridge through the road bridge BIM model and the images of the key structure areas, the disease conditions in the key structure areas of the road bridge can be accurately identified, providing accurate disease information for maintenance decision-making and improving the maintenance effect. By setting up an auxiliary decision-making analysis module to determine the disease risk index of the road bridge based on the environmental impact index and traffic impact index of the road bridge, the influences of environmental factors and traffic factors on the road bridge can be comprehensively considered, and the disease risks of the road bridge can be comprehensively evaluated. According to the disease risk index of the road bridge and the disease conditions in the key structure areas, it is determined whether the maintenance standards are met, and the corresponding maintenance types and maintenance areas are determined, which can improve the maintenance effect and maintenance efficiency.

[0069] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A BIM-based road and bridge maintenance auxiliary decision-making system, characterized in that, Including: A database for storing the whole life cycle data, historical environment data, and historical traffic load data corresponding to road bridges; An information management module connected to the database, for constructing a BIM model of a road bridge based on the whole life cycle data of the road bridge, and determining the key structure of the road bridge based on the BIM model of the road bridge; An image acquisition module for real-time acquisition of road bridge images, where the road bridge images include images of the key structure area and non-key structure area of the road bridge; A road bridge assessment module connected to the database, the information management module, and the image acquisition module respectively, for determining the environmental impact index of the road bridge based on the historical environment data, and determining the traffic impact index of the road bridge based on the historical traffic load data, and determining the disease condition of the key structure area of the road bridge based on the BIM model of the road bridge and the images of the key structure area, including the disease type and disease degree; An auxiliary decision-making analysis module connected to the image acquisition module and the road bridge assessment module respectively, for determining the disease risk index of the road bridge based on the environmental impact index and traffic impact index of the road bridge, and determining whether it meets the maintenance standard based on the disease risk index of the road bridge and the disease condition of the key structure area of the road bridge. If it meets the standard, determining the maintenance type of the road bridge based on the disease condition of the key structure area of the road bridge, and determining the maintenance area of the road bridge based on the BIM model of the road bridge and the road bridge images; 2. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 1, characterized in that The information management module performs structural analysis on the road bridge based on the BIM model of the road bridge to determine several alternative structures, and determines the key structure of the road bridge based on the influence coefficient of the change in stiffness of each alternative structure on the road bridge; 3. The BIM-based road and bridge maintenance assistance decision-making system according to claim 2, wherein The road bridge assessment module includes: An environmental assessment sub-module connected to the database, for determining several environmental significantly influencing parameters based on the historical environment data, and determining the environmental impact weights corresponding to each environmental significantly influencing parameter to construct an environmental impact assessment model of the road bridge, and determining the environmental impact index of the road bridge based on the environmental impact assessment model; 4. The BIM-based road and bridge maintenance assistance decision-making system according to claim 3, characterized in that, The road bridge assessment module further includes: A traffic assessment sub-module connected to the database, for determining the traffic impact value of a single traffic load parameter on the road bridge based on the historical traffic load data, and determining the traffic impact index of the road bridge based on the traffic impact values corresponding to each traffic load parameter, where the traffic load parameters include traffic flow, vehicle type ratio, driving speed, and braking frequency; 5. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 4, wherein The road bridge assessment module further includes: The disease assessment sub-module is respectively connected to the information management module, the environment assessment sub-module and the traffic assessment sub-module, and is used to construct a disease analysis model of the road and bridge based on the road and bridge BIM model, the environmental impact index and the traffic impact index, and input the key structure area image into the disease analysis model to obtain the disease conditions of the key structure area of the road and bridge, including disease types and disease degrees.

6. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 5, characterized in that, The auxiliary decision-making analysis module includes: The disease risk analysis sub-module is respectively connected to the environment assessment sub-module and the traffic assessment sub-module, and is used to determine the environmental impact coefficient of environmental parameters on the disease risk of the road and bridge and the traffic impact coefficient of traffic load parameters on the disease risk of the road and bridge based on the comparison results of the environmental impact index of the road and bridge with the standard environmental impact index and the comparison results of the traffic impact index with the standard traffic impact index, and determine the disease risk index of the road and bridge based on the environmental impact index, the environmental impact coefficient, the traffic impact index and the traffic impact coefficient.

7. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 6, characterized in that The auxiliary decision-making analysis module further includes: The maintenance determination sub-module is respectively connected to the disease assessment sub-module and the disease risk analysis sub-module, and is used to determine whether it meets the maintenance standard based on the comparison result of the disease risk index of the road and bridge with the standard disease risk index and the comparison result of the disease conditions of the key structure area of the road and bridge with the standard disease conditions.

8. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 7, wherein The auxiliary decision-making analysis module further includes: The maintenance type determination sub-module is respectively connected to the disease assessment sub-module and the maintenance determination sub-module, and is used to determine the maintenance type of the road and bridge based on the determination result of the maintenance determination sub-module that meets the maintenance standard, the disease conditions of the key structure area of the road and bridge, and a preset disease maintenance comparison table.

9. The BIM-based road and bridge maintenance auxiliary decision-making system according to claim 8, characterized in that, The auxiliary decision-making analysis module further includes: The maintenance area determination sub-module is respectively connected to the maintenance determination sub-module, the image acquisition module and the information management module, and is used to divide the non-key structure area into several candidate areas based on the determination result of the maintenance determination sub-module that meets the maintenance standard and the road and bridge BIM model, and determine the maintenance area of the road and bridge based on the comparison result of the images of each candidate area with the image of the key structure area.

10. The BIM-based road and bridge maintenance assistance decision-making system according to claim 9, characterized in that The information management module performs a structural analysis on the road and bridge based on the road and bridge BIM model to obtain the structural deformation limits of each structure of the road and bridge, and determines several alternative structures based on the comparison results of the structural deformation limits of each structure with the preset deformation limits.

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