Bridge damage disease identification and detection system

Abstract

The invention relates to the technical field of bridge engineering, and discloses a bridge damage disease identification and detection system, which comprises a data acquisition module, a data analysis module and a data processing module, according to the method, the total number of times of severe weather counted in the same season and the counted total number of times of weather in the same season are substituted into a predefined # imgabs0 # formula for representing the damage rate of the bridge caused by the severe environment through a data analysis module, and the formula integrates the difference of severe weather in different seasons and the accumulated influence of the difference on the bridge structure; meanwhile, a dangerous vehicle entering index # imgabs1 # is combined, so that a quantitative evaluation interference factor damage index # imgabs2 # size grade is obtained, corresponding prevention and maintenance measures are planned and executed in advance according to the evaluation grade, and the corresponding prevention and maintenance measures comprise inspection strengthening, known damage emergency repair and protective covering and supporting structure application. And the traffic is limited or closed when an extreme event is predicted, so that the effect of prevention in advance is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge engineering, and in particular to a bridge damage and disease identification and detection system. Background Art

[0002] Smart bridge inspection system technologies span the application of traditional physical testing to modern intelligent technologies. These technologies are not limited to a specific type of bridge but are widely applied to a wide range of bridge types, including highway bridges, railway bridges, and urban bridges, demonstrating their broad applicability and importance. Through continuous monitoring and data analysis, these systems provide strong assurance for safe bridge operations, helping managers make data-driven decisions to maintain bridge structural integrity and functionality.

[0003] Bridge inspection systems encompass multiple applications, including static and dynamic parameter diagnosis, intelligent algorithms, information collection techniques, and real-time monitoring. These technologies help improve the efficiency, accuracy, and timeliness of bridge inspections, thereby ensuring bridge safety and functionality. However, while existing technologies have made some progress in bridge damage identification, they still face numerous challenges. Bridge surface defects vary widely, including cracks, weathering, spalling, exposed rebar, and corrosion, and different types of defects may require different identification techniques and algorithms.

[0004] To improve recognition accuracy and efficiency, we need to continuously optimize image acquisition technology, enhance algorithm performance, and improve data processing processes. This requires incorporating the knowledge and experience of professionals and customizing solutions based on specific circumstances. These efforts will further enhance the performance of bridge inspection systems in damage identification, providing a scientific basis and technical support for the long-term safety and stability of bridges. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In response to the shortcomings of the existing technology, the present invention provides a bridge damage and disease identification and detection system, which has the advantages of preventing damage in advance and repairing it in time, and solves the problem of increasing bridge disease severity.

[0007] (2) Technical solution

[0008] To achieve the above-mentioned object, the present invention provides the following technical solutions: a bridge damage and disease identification and detection system, comprising a data acquisition module, a data analysis module and a data processing module;

[0009] The data acquisition module includes a bridge multi-point image data unit, a vehicle data unit and an environmental monitoring data unit; the bridge multi-point image data unit collects a bridge multi-point image data set in real time through a bridge online monitoring device, and numbers it and connects it to a data analysis module; the vehicle data unit collects a vehicle data set in real time according to a targeted camera, and numbers it and connects it to the data analysis module; the environmental monitoring data unit collects an environmental monitoring data set through an environmental monitoring device, and numbers it and connects it to the data analysis module; the data acquisition module is connected to the data analysis module via a network;

[0010] The data analysis module includes a bridge multi-point image data analysis unit, a vehicle data analysis unit and an environmental monitoring data analysis unit. The bridge multi-point image data analysis unit calculates a high-risk damage type set based on the bridge multi-point image data set. The vehicle data analysis unit calculates the dangerous vehicle entry index based on the vehicle data set The environmental monitoring data analysis unit calculates the bridge damage rate caused by the harsh environment based on the environmental monitoring data set. , the dangerous vehicle entry index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors , the data analysis module and the data processing module share information through a network connection;

[0011] The data processing module is based on the damage index of external interference factors The bridges are repaired at different levels according to their grade and the high-risk damage types are grouped together. , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment information and take preventive measures in advance.

[0012] Preferably, the bridge multi-point image data unit performs comprehensive damage type set numbering statistics on the minor damage type set, the medium damage type set and the major damage type set in each direction of the bridge according to the characteristics of the bridge multi-point image data set, and the minor damage type set is numbered as 、 、 、… , the medium damage type set number is 、 、 、… , the major damage type set number is 、 、 、… .

[0013] Preferably, the high-risk damage type set It is generated by the bridge multi-point image dataset and its calculation formula is:

[0014]

[0015] In the formula, represents a high-risk set of breakage types, represents the set of minor damage types, Indicates the number of minor damage types. represents the medium damage type set, Indicates the number of medium damage types. Represents a set of major breakage types, Indicates the number of major damage types.

[0016] Preferably, the vehicle data unit vehicle data set features number and count overweight vehicles, large trucks, and hazardous chemical vehicles, and the heavy vehicle numbers are , the large truck number is , the hazardous chemicals vehicle number is .

[0017] Preferably, the vehicle data analysis unit calculates the dangerous vehicle entry index based on the vehicle data set , and its calculation formula is:

[0018]

[0019] In the formula, represents the dangerous vehicle entry index, Indicates a heavy vehicle. Indicates large trucks. Indicates a hazardous chemical vehicle.

[0020] Preferably, the environmental monitoring data unit performs numbering statistics on the number of extremely hot days, extremely cold days, heavy rain days and strong wind days in the same season according to the characteristics of the environmental monitoring data set, and the number of extremely hot days is numbered as , the number of times of extreme cold weather is , the number of heavy rain weather times is , the number of squall weather times is .

[0021] Preferably, the environmental monitoring data analysis unit calculates the bridge damage rate caused by the harsh environment based on the environmental monitoring data set. , the formula is:

[0022]

[0023] In the formula, Indicates the bridge damage rate caused by harsh environment, Indicates the number of bad weather events in the same season and Indicates the total number of weather statistics in the same season.

[0024] Preferably, the dangerous vehicle entry index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors , and its calculation formula is:

[0025]

[0026] In the formula, Indicates the damage index of external interference factors, represents the dangerous vehicle entry index, Indicates the bridge damage rate caused by harsh environment, represents a fixed hazard constant.

[0027] Preferably, the data processing module is based on the damage index of external interference factors. The bridge is repaired at different levels according to the size of the bridge. The repair levels are:

[0028] When 0.5≥ external interference factor damage index When the value is ≥0.1, the construction team will carry out level 3 repairs on the damaged parts of the bridge, and the construction time is 1-5 hours;

[0029] When 0.8≥ external interference factor damage index When the value is ≥0.5, the construction team will carry out secondary repairs on the damaged parts of the bridge, and the construction time is 1 to 2 days;

[0030] When 1≥external interference factor damage index When the pressure is ≥0.8, the construction team will carry out first-level repairs on the damaged parts of the bridge, and the construction time is 5-7 days.

[0031] Preferably, the data processing module is based on the high risk damage type group , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment Based on the information provided, the preventive measures taken in advance are:

[0032] S1. According to the high risk damage type group , mark the high-risk damage types, and have the construction team take targeted measures for high-risk types;

[0033] S2. When a dangerous vehicle enters the index When the traffic flow rate is ≥0.5, eight vehicles carrying hazardous chemicals are restricted from passing at night, ten large trucks are restricted from passing during the day, and overweight vehicles are prohibited from passing.

[0034] S3. Bridge damage rate caused by harsh environment ≥0.2, carry out minor damage reinforcement before the arrival of severe weather.

[0035] Compared with the existing technology, the present invention provides a bridge damage identification and detection system with the following beneficial effects:

[0036] 1. The present invention uses a data analysis module to substitute the total number of severe weather events and the total number of weather events in the same season into a predefined bridge damage rate caused by severe environment. The formula combines the differences in severe weather in different seasons and its cumulative impact on bridge structures, and combines the dangerous vehicle entry index , thus obtaining a quantitative evaluation of the damage index of interference factors The assessment level is used to plan and implement corresponding preventive and maintenance measures in advance, including strengthening inspections, urgently repairing known damages, applying protective coverings and support structures, and restricting or closing traffic when extreme events are predicted, so as to achieve the effect of early prevention.

[0037] 2. The present invention uses the damage index of external interference factors According to the level of damage, the bridge is repaired at an advanced level. When the damage is not serious, the repair takes 1 to 5 hours to complete. Such efficient repair can not only quickly restore the use function of the bridge, but also save manpower and material resources and avoid unnecessary excessive repairs. When the severity of the damage to the bridge increases, in order to ensure the quality of the repair work and the safety of the construction workers, fences are added or all traffic is prohibited during construction. The above-mentioned repair steps can ensure that the repaired bridge can safely carry traffic, and can also cleverly avoid safety accidents and subsequent maintenance problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0040] See also Figure 1 ,A bridge damage and disease identification and detection system, including a data acquisition module, a data analysis module and a data processing module;

[0041] The data acquisition module includes a bridge multi-point image data unit, a vehicle data unit, and an environmental monitoring data unit. The bridge multi-point image data unit collects bridge multi-point image data sets in real time through bridge online monitoring equipment, numbers them, and connects them to the data analysis module. The vehicle data unit collects vehicle data sets in real time based on the targeted camera, numbers them, and connects them to the data analysis module. The environmental monitoring data unit collects environmental monitoring data sets through environmental monitoring equipment, numbers them, and connects them to the data analysis module. The data acquisition module is connected to the data analysis module through the network.

[0042] The data analysis module includes a bridge multi-point image data analysis unit, a vehicle data analysis unit and an environmental monitoring data analysis unit. The bridge multi-point image data analysis unit calculates a high-risk damage type set based on the bridge multi-point image data set. , the vehicle data analysis unit calculates the dangerous vehicle entry index based on the vehicle data set , the environmental monitoring data analysis unit calculates the bridge damage rate caused by harsh environment based on the environmental monitoring data set , Dangerous Vehicle Entry Index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors ,The data analysis module and the data processing module share information through network connections;

[0043] The data processing module is based on the damage index of external interference factors The bridges are repaired at different levels according to their grade and the high-risk damage types are grouped together. , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment information and take preventive measures in advance.

[0044] The bridge multi-point image data unit performs comprehensive damage type set numbering statistics on the minor damage type set, medium damage type set and major damage type set in all directions of the bridge based on the characteristics of the bridge multi-point image data set. The minor damage type set is numbered as follows: 、 、 、… , the medium damage type set number is 、 、 、… , the major damage type set number is 、 、 、… .

[0045] High-risk breakage type set It is generated by the bridge multi-point image dataset and its calculation formula is:

[0046]

[0047] In the formula, represents a high-risk set of breakage types, represents the set of minor damage types, Indicates the number of minor damage types. represents the medium damage type set, Indicates the number of medium damage types. Represents a set of major breakage types, Indicates the statistical number of major damage types. The purpose of this formula is to identify high-risk damage types and take targeted measures in advance based on these high-risk damage types.

[0048] Vehicle data unit vehicle data set features overweight vehicles, large trucks, and hazardous chemical vehicles are numbered and counted. The number of major vehicles is , large truck number is , hazardous chemicals vehicle number is .

[0049] The vehicle data analysis unit calculates the dangerous vehicle entry index based on the vehicle data set , and its calculation formula is:

[0050]

[0051] In the formula, represents the dangerous vehicle entry index, Indicates a heavy vehicle. Indicates large trucks. Represents vehicles carrying hazardous chemicals. The purpose of the calculation formula is to restrict the passage of vehicles based on the size of the calculation result, so as to protect the bridge.

[0052] The environmental monitoring data unit counts the number of extremely hot days, extremely cold days, heavy rain days and strong wind days in the same season according to the characteristics of the environmental monitoring data set. The number of extremely hot days is , the number of times of extreme cold weather is , the number of heavy rain weather times is , the number of squall weather times is .

[0053] The environmental monitoring data analysis unit calculates the bridge damage rate caused by adverse environment based on the environmental monitoring data set , the formula is:

[0054]

[0055] In the formula, Indicates the bridge damage rate caused by harsh environment, Indicates the number of bad weather events in the same season and It represents the total number of statistical weather events in the same season. This formula takes into account the differences in severe weather in different seasons and their cumulative impact on bridge structures.

[0056] Dangerous Vehicle Entry Index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors , and its calculation formula is:

[0057]

[0058] In the formula, Indicates the damage index of external interference factors, represents the dangerous vehicle entry index, Indicates the bridge damage rate caused by harsh environment, It represents a fixed hazard constant. The formula is used to obtain the result information of the damage index of external interference factors. The overall damage degree of the bridge is marked according to the size of the damage index of external interference factors, and then the construction team is notified to take corresponding treatment measures according to the damage degree.

[0059] The data processing module is based on the damage index of external interference factors The bridge is repaired at different levels according to the size of the bridge. The repair levels are:

[0060] When 0.5≥ external interference factor damage index When the value is ≥0.1, the construction team will carry out three-level repairs on the damaged parts of the bridge, and the construction time is 1-5 hours. Since the damage is not serious, the three-level repairs take 1 to 5 hours to complete. Such efficient repairs can not only quickly restore the use function of the bridge, but also save manpower and material resources, avoid unnecessary excessive repairs, and thus save bridge maintenance costs;

[0061] When 0.8≥ external interference factor damage index When the value is ≥0.5, the construction team will carry out secondary repairs on the damaged parts of the bridge, which will take 1 to 2 days. To ensure construction quality and site safety, the construction team will set up fences around the damaged parts to isolate pedestrians and vehicles, ensuring that work within the construction area is not disturbed by the outside world. Such measures will enable construction workers to carry out repairs more carefully, thus ensuring the safety and reliability of the repaired bridge. Only then can the fences be removed to allow vehicles to pass normally.

[0062] When 1≥external interference factor damage index When the value is ≥0.8, the construction team will carry out first-level repairs on the damaged parts of the bridge, and the construction time is 5-7 days. Due to the severity of the damage to the bridge, in order to ensure the quality of the repair work and the safety of the construction workers, all traffic is prohibited during the construction period. Only when the repair work reaches at least 98% completion and undergoes strict quality review can vehicles pass. Such regulations can ensure that the repaired bridge can safely carry traffic and avoid safety accidents and subsequent maintenance problems caused by premature opening of traffic.

[0063] The advantage is that the algorithm substitutes the total number of severe weather events and the total number of weather events in the same season into the predefined bridge damage rate caused by severe environment. The formula combines the differences in severe weather in different seasons and its cumulative impact on bridge structures, and combines the dangerous vehicle entry index , thus obtaining a quantitative evaluation of the interference factor damage index The assessment level is used to plan and implement corresponding preventive and maintenance measures in advance, including strengthening inspections, urgently repairing known damages, applying protective coverings and support structures, and restricting or closing traffic when extreme events are predicted, so as to achieve the effect of early prevention.

[0064] The data processing module is divided into groups according to the high-risk damage types. , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment Based on the information provided, the preventive measures taken in advance are:

[0065] S1. According to the high risk damage type group , high-risk damage types are identified, and the construction team takes targeted measures for high-risk types. The main purpose of this step is to identify high-risk damage types by analyzing the multi-point image dataset of the bridge, and formulate targeted repair measures for damaged locations and preventive measures for undamaged locations based on the obtained high-risk damage type information;

[0066] S2. When a dangerous vehicle enters the index When the traffic flow rate is ≥0.5, eight vehicles carrying hazardous chemicals are restricted from passing at night, ten large trucks are restricted from passing during the day, and overweight vehicles are prohibited from passing, thus reducing the pressure and damage to the bridge caused by overweight vehicles.

[0067] S3. Bridge damage rate caused by harsh environment ≥0.2, carry out minor damage reinforcement treatment before the arrival of severe weather to prevent the existing minor damage from being aggravated by severe environmental conditions (such as storms, hail, extreme temperatures) and causing serious structural damage.

[0068] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A bridge damage identification and detection system, characterized by: It includes data acquisition module, data analysis module and data processing module; The data acquisition module includes a bridge multi-point image data unit, a vehicle data unit and an environmental monitoring data unit; the bridge multi-point image data unit collects a bridge multi-point image data set in real time through a bridge online monitoring device, and numbers it and connects it to a data analysis module; the vehicle data unit collects a vehicle data set in real time according to a targeted camera, and numbers it and connects it to the data analysis module; the environmental monitoring data unit collects an environmental monitoring data set through an environmental monitoring device, and numbers it and connects it to the data analysis module; the data acquisition module is connected to the data analysis module via a network; The data analysis module includes a bridge multi-point image data analysis unit, a vehicle data analysis unit and an environmental monitoring data analysis unit. The bridge multi-point image data analysis unit calculates a high-risk damage type set based on the bridge multi-point image data set. The vehicle data analysis unit calculates the dangerous vehicle entry index based on the vehicle data set The environmental monitoring data analysis unit calculates the bridge damage rate caused by the harsh environment based on the environmental monitoring data set. , the dangerous vehicle entry index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors , the data analysis module and the data processing module share information through a network connection; The data processing module is based on the damage index of external interference factors The bridges are repaired at different levels according to their grade and the high-risk damage types are grouped together. , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment information and take preventive measures in advance.

2. The bridge damage identification and detection system according to claim 1, characterized in that: The bridge multi-point image data unit performs comprehensive damage type set numbering statistics on the minor damage type set, the medium damage type set and the major damage type set in each direction of the bridge according to the characteristics of the bridge multi-point image data set. The minor damage type set number is 、 、 、… , the medium damage type set number is 、 、 、… , the major damage type set number is 、 、 、… .

3. The bridge damage identification and detection system according to claim 2, characterized in that: The high-risk breakage type set It is generated by the bridge multi-point image dataset and its calculation formula is: In the formula, represents a high-risk set of breakage types, represents the set of minor damage types, Indicates the number of minor damage types. represents the medium damage type set, Indicates the number of medium damage types. Represents a set of major breakage types, Indicates the number of major damage types.

4. The bridge damage identification and detection system according to claim 1 is characterized by: The vehicle data unit vehicle data set features the numbering statistics of overweight vehicles, large trucks, and hazardous chemical vehicles. The major vehicle numbers are , the large truck number is , the hazardous chemicals vehicle number is .

5. The bridge damage identification and detection system according to claim 4 is characterized by: The vehicle data analysis unit calculates a dangerous vehicle entry index based on the vehicle data set. , and its calculation formula is: In the formula, represents the dangerous vehicle entry index, Indicates a heavy vehicle. Indicates large trucks. Indicates a hazardous chemical vehicle.

6. The bridge damage identification and detection system according to claim 1 is characterized by: The environmental monitoring data unit performs numbering statistics on the number of extremely hot days, extremely cold days, heavy rain days and strong wind days in the same season according to the characteristics of the environmental monitoring data set. The number of extremely hot days is , the number of times of extreme cold weather is , the number of heavy rain weather times is , the number of squall weather times is .

7. The bridge damage identification and detection system according to claim 6, characterized in that: The environmental monitoring data analysis unit calculates the bridge damage rate caused by the harsh environment based on the environmental monitoring data set , the formula is: In the formula, Indicates the bridge damage rate caused by harsh environment, Indicates the number of bad weather events in the same season and Indicates the total number of weather statistics in the same season.

8. The bridge damage identification and detection system according to claim 7, characterized in that: The Dangerous Vehicle Entry Index Bridge damage rate caused by harsh environment Jointly calculate and generate the damage index of external interference factors , and its calculation formula is: In the formula, Indicates the damage index of external interference factors, represents the dangerous vehicle entry index, Indicates the bridge damage rate caused by harsh environment represents a fixed hazard constant.

9. The bridge damage identification and detection system according to claim 8, characterized in that: The data processing module is based on the damage index of external interference factors The bridge is repaired at different levels according to the size of the bridge. The repair levels are: When 0.5≥ external interference factor damage index When ≥0.1, the construction team will carry out three-level repairs on the damaged parts of the bridge, and the construction time is 1 5 hours; When 0.8≥ external interference factor damage index When the value is ≥0.5, the construction team will carry out secondary repairs on the damaged parts of the bridge, and the construction time is 1 to 2 days; When 1≥external interference factor damage index When the pressure is ≥0.8, the construction team will carry out first-level repairs on the damaged parts of the bridge, and the construction time is 5-7 days.

10. The bridge damage identification and detection system according to claim 9, characterized in that: The data processing module is divided into groups according to the high-risk damage types. , Dangerous Vehicle Entry Index and bridge damage rate caused by harsh environment Based on the information provided, the preventive measures taken in advance are: S1. According to the high risk damage type group , mark the high-risk damage types, and have the construction team take targeted measures for high-risk types; S2. When a dangerous vehicle enters the index When the traffic volume is ≥0.5, eight vehicles carrying hazardous chemicals are restricted from passing at night, ten large trucks are restricted from passing during the day, and overweight vehicles are prohibited from passing; S3. Bridge damage rate caused by harsh environment ≥0.2, carry out minor damage reinforcement before the arrival of severe weather.

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