A full-cycle visual management and analysis system for girder defects of beam bridges

Abstract

The present invention discloses a full-cycle visual management and analysis system for beam-type bridge main beam diseases, including an on-site collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a disease visualization unit. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention integrates on-site disease investigation and monitoring data through an information-based method, realizes disease development prediction, disease nature judgment, and maintenance measures disease repair effect judgment in a tracking and analysis manner, and realizes maintenance work quality evaluation in a statistical analysis manner. In addition, the full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention supports disease visualization display, forming a full-process management and analysis of beam-type bridge main beam diseases from discovery to observation, and then from repair to observation.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a full-cycle visual management and analysis system for main beam defects of a beam-type bridge. Background Art

[0002] After concrete materials began to be used, beam bridges became the main force in the field of bridge construction. The focus of beam bridge maintenance is on the investigation, identification and repair of defects. In recent years, with the development of information technology, testing and maintenance units have gradually begun to use mobile clients to enter defects during defect investigations to achieve intelligent assessment and intelligent report generation to improve production efficiency. This technological advancement has laid a data foundation for the full-cycle management and analysis of defects, but data application is still a blank area. In addition, the current maintenance management is less refined, and the repair of defects is rough, often treating the symptoms rather than the root cause. Although the apparent defects of bridges are effectively reduced, the "internal injuries" cannot be solved. Therefore, it is of great practical significance to establish a defect tracking system based on the defect database and use big data analysis to help improve maintenance technology.

[0003] The full-cycle visual management and analysis system for girder defects of beam bridges is based on the defect database. Through the operation of on-site recording, the connection between defects on the time axis is established, and the tracking analysis is realized through regular inspections and short-term monitoring of the test of defect characteristics. On this basis, the distribution of defects is visualized in the platform through the expansion diagram and BIM model, which facilitates maintenance and statistics. The defect tracking unit realizes the judgment of the nature of the defect and the effect of the defect repair, provides support for the selection of defect repair measures, and contributes to the effective use of maintenance resources. The statistical analysis unit provides statistical analysis of multiple dimensions and multiple targets, realizes the evaluation of the quality of maintenance work and the comparison of the repair effects of maintenance measures, and contributes to the improvement of the overall maintenance quality. Summary of the invention

[0004] In order to solve the limitations and defects of the prior art, the present invention provides a full-cycle visual management and analysis system for beam bridge main beam defects, including a field collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a defect visualization unit;

[0005] The on-site acquisition unit is used to form a communication module according to the structural discrete standard and the disease description standard, synchronize the basic information of the bridge, structural information, historical diseases, pre-defined disease library, and pre-defined maintenance measures library in the MySQL database, record the location and characteristics of the disease on-site and upload image information, remotely connect and invite experts to assist in judging the disease scale, and record the measures and effects of disease maintenance on-site;

[0006] The short-term monitoring unit is used to focus on the diseases, deploy wireless low-power intelligent low-frequency monitoring sensors on site, transmit data to the MySQL database through the wireless network, and collect typical characteristic values ​​of the diseases at a fixed frequency;

[0007] The MySQL database is used to store the basic information of the bridge, the structural information, the historical diseases, a predefined disease library, and a predefined maintenance measures library, and receive data transmitted by the on-site acquisition unit and the short-term monitoring unit;

[0008] The tracking and analysis unit is used to index related defects according to the bridge name and component number, display the change of the length and width of the same defect over time in the form of a line graph, predict the development law of the defect by the least square method, determine whether the defect is a structural defect, and automatically score the technical condition in real time according to the detection time;

[0009] The statistical analysis unit is used to count the number of various types of defects on bridges, road sections and maintenance units, calculate maintenance expenses and the increase or decrease in the number of bridges of various technical condition levels, and compare the duration of the defect cycle, the effective rate of defect repair by maintenance measures, and the average technical condition score;

[0010] The defect visualization unit is used to display single bridge defects or bridge defects of the same size in the main beam expansion diagram and the corresponding surface area of ​​the building information model according to the actual position and preset proportion.

[0011] Optionally, the step of remotely inviting an expert to assist in determining the disease scale includes:

[0012] When the damage scale of the upper load-bearing components, piers, abutments, foundations, and bearings is 4 or 5, experts are selected for remote assistance to determine whether the on-site damage assessment is accurate through video chat.

[0013] Optionally, the short-term monitoring unit is integrated with the disease management module and set in the bridge database. The monitoring object of the short-term monitoring unit is diseases, and the diseases include crack width. The short-term monitoring unit is used to conduct horizontal comparative analysis of the disease monitoring data of bridges with the same structural type or the same construction age.

[0014] Optionally, the tracking and analysis unit determines the damage result based on the least squares method before the damage is repaired, including apparent damage, structural damage, or the need for continued tracking; and the tracking and analysis unit determines the repair result based on the least squares method after the damage is repaired, including ineffective repair or effective repair.

[0015] Optionally, the statistical analysis unit is used for single bridge disease statistics and maintenance cost estimation, comparison of the total number, incidence, structural disease incidence and cycle duration of various types of diseases in different sections and different maintenance units, comparison of the repair efficiency of various types of maintenance measures in different sections and different maintenance units, and comparison of the increase and decrease of the number of various types of bridges in different sections and different maintenance units, and comparison of average technical condition assessment scores;

[0016] Among them, the total number of diseases is equal to the total length or total area of ​​all corresponding diseases, the disease incidence rate is equal to the total number of diseases or the total length of bridges that may have this type of diseases, the structural disease incidence rate is equal to the total number of diseases judged as "structural diseases" or the total length of bridges that may have this type of diseases, the cycle duration is equal to the time span from the discovery of the disease to the judgment of the repair effect of the disease as "effective repair", and the repair efficiency rate is equal to the number of diseases whose repair effect is judged as "effective repair" after adopting this type of maintenance measures for repair or the total number of diseases repaired by adopting this type of maintenance measures.

[0017] Optionally, the disease visualization unit is used to select a component corresponding to the structure in the visualization management and analysis system to open the main beam expansion diagram;

[0018] The defect visualization unit is used to select and display the defect in the building information model.

[0019] Optionally, the disease visualization unit is provided with a lightweight display function of a building information model.

[0020] Optionally, the display method of the disease visualization unit includes single bridge disease display and summary display of bridge diseases of the same size.

[0021] Optionally, the disease visualization unit has a summary display of bridge-type diseases of the same size, including a display filtered by disease type and a display filtered by span range.

[0022] Optionally, the disease visualization unit is used to display the disease in a full-cycle animation, showing the entire process from disease discovery to observation, and then from repair to observation.

[0023] The present invention has the following beneficial effects:

[0024] The present invention provides a full-cycle visual management and analysis system for beam-type bridge main beam diseases, including an on-site collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a disease visualization unit. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention integrates on-site disease investigation and monitoring data through an information method, realizes disease development prediction, disease nature judgment, and disease repair effect judgment of maintenance measures by tracking and analysis, and realizes maintenance work quality evaluation by statistical analysis. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention supports disease visualization display, forming a full process management and analysis of beam-type bridge main beam diseases from discovery to observation, and then from repair to observation. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention realizes disease nature judgment and disease repair effect judgment through tracking and analysis, provides support for the selection of disease repair measures, and contributes to the effective use of maintenance resources. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided by the present invention realizes the evaluation of maintenance work quality and the comparison of maintenance measures repair effects through statistical analysis, which contributes to the overall improvement of maintenance quality. The full-cycle visual management and analysis system for beam-type bridge main beam defects provided by the present invention provides support for the identification of bridge defects and the determination of their occurrence mechanisms through full-cycle visual management of defects, which helps to improve bridge design theory. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A schematic diagram of the overall structure and data transmission path of the full-cycle visual management and analysis system for beam bridge main beam defects provided in Example 1 of the present invention.

[0026] Figure 2 This is a flow chart of the full-cycle visual management and analysis system for beam bridge main beam defects provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the technical solution of the present invention, the full-cycle visual management and analysis system for beam bridge main beam defects provided by the present invention is described in detail below with reference to the accompanying drawings.

[0028] Embodiment 1

[0029] The present embodiment provides a full-cycle visual management and analysis system for beam bridge girder defects, including a field collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a defect visualization unit. The field collection unit develops a mobile phone APP based on the structural discrete standard and the defect description standard, which can synchronize the basic information of the bridge, structural information, historical defects, and the defect library defined in the "Highway Bridge Technical Condition Assessment Standard" and the maintenance measures library defined in the "Highway Bridge and Culvert Maintenance Specification" in the MySQL database. It can record the location and characteristics of the defect on site and upload image information, remotely connect to invite experts to assist in judging the defect scale, and record the measures and effects of the defect maintenance on site. The full-cycle visual management and analysis system for beam bridge girder defects provided by this embodiment integrates the on-site defect investigation and monitoring data through an information-based method, realizes the prediction of defect development, the judgment of the nature of the defect, and the judgment of the defect repair effect of the maintenance measures in a tracking and analysis manner, and realizes the quality evaluation of the maintenance work in a statistical analysis manner.

[0030] In this embodiment, the short-term monitoring unit deploys wireless low-power intelligent low-frequency monitoring sensors on site for key defects, transmits data to the MySQL database via the 5G wireless network, and collects typical characteristic values ​​of the defects at a fixed frequency. The MySQL database stores basic information, structural information, historical defects of bridges, and a defect library defined in accordance with the "Highway Bridge Technical Condition Assessment Standards" and a maintenance measures library defined in accordance with the "Highway Bridge and Culvert Maintenance Specifications", and receives data from the on-site collection unit and the short-term monitoring unit. The full-cycle visual management and analysis system for beam bridge main beam defects provided in this embodiment supports visual display of defects, forming a full-process management and analysis of beam bridge main beam defects from discovery to observation, and then from repair to observation.

[0031] In this embodiment, the tracking and analysis unit indexes related defects by bridge name and component number, and displays the changes in the length and width (maximum seam width) of the same defect over time in the form of a line graph. It predicts its development law and determines whether the defect is a structural defect by the least squares method, and can automatically score the technical condition in real time according to the detection time. The statistical analysis unit counts the number of various types of defects in a certain bridge, a certain section of road, and a certain maintenance unit, and calculates the maintenance expenses and the increase and decrease in the number of bridges of each technical condition level, and compares the duration of the disease cycle, the efficiency of maintenance measures for repairing the disease, and the average technical condition score. The full-cycle visual management and analysis system for beam-type bridge main beam defects provided in this embodiment realizes the judgment of the nature of the disease and the effect of the disease repair through tracking and analysis, provides support for the selection of disease repair measures, and contributes to the effective use of maintenance resources.

[0032] In this embodiment, the defect visualization unit displays single bridge defects or same-size bridge defects in the main beam expansion diagram and the corresponding area of ​​the Building Information Modeling (BIM) according to the actual position and relative proportion. Optionally, when the defect scale of the upper load-bearing components, piers, abutments, foundations, and supports is 4 or 5, the on-site collection unit requires the selection of experts from the expert database of the inspection unit for remote assistance when the defect is saved, and determines whether the on-site defect assessment is accurate through video chat.

[0033] In this embodiment, the short-term monitoring unit is integrated into the bridge database and integrated with the disease management. The object of monitoring is the disease, mainly the crack width. In addition, horizontal comparative analysis of the disease monitoring data of bridges with the same structural type and the same construction age is supported. Optionally, the tracking and analysis unit judges the nature of the disease according to the least squares method before the disease is repaired, including three results of "apparent disease, structural disease, and need to continue tracking". The repair effect judged by the tracking and analysis unit according to the least squares method after the disease is repaired includes "repair ineffective, repair effective". The full-cycle visual management and analysis system for the main beam disease of the beam-type bridge provided in this embodiment realizes the evaluation of the quality of maintenance work and the comparison of the repair effects of maintenance measures through statistical analysis, which contributes to the overall improvement of maintenance quality.

[0034] Optionally, the tracking and analysis unit implements the tracking and analysis of defects from two types of data sources. For bridge defects tracked and analyzed by regular inspections, the specific implementation steps are as follows: maintenance personnel find defects on site, use chalk or stone pencil to mark the defect outline, defect characteristics, and investigation time, and record them in the on-site collection unit and upload them to the database. During each regular inspection, the corresponding defect is found according to the defect location displayed by the system, and after measuring the relevant defect characteristics, the above recording process is repeated. When recording in the on-site collection unit, the historical record information is opened, the characteristics are modified, and the photos are taken again and uploaded, forming the correlation relationship of the defect in the time dimension. When a regular inspection finds that the defect has been repaired, the historical record information is opened, the repair measures are recorded, and the photos are taken and uploaded. After the repair effect is tracked and recorded for 6 consecutive times without obvious development, the full cycle management of the defect is completed. After each upload of the defect information, the system automatically draws a line graph of the length, width, maximum seam width, and area according to its correlation, as well as the results predicted by the least squares method, until there is no obvious development phenomenon after 6 consecutive tracking records after the repair and the result predicted by the least squares method is "effective repair".

[0035] For bridge defects tracked and analyzed by short-term monitoring, short-term monitoring is used to monitor the characteristics of the defects after the defects are found and before repair. After repair, the defects are the same as those tracked and analyzed by regular inspection.

[0036] Optionally, the statistical analysis unit includes statistics on single bridge defects and calculation of maintenance costs, comparison of the total number, incidence rate, incidence rate of structural defects and cycle duration of various types of defects in different road sections and different maintenance units, comparison of the effectiveness of defect repair of various types of maintenance measures in different road sections and different maintenance units, and comparison of the increase and decrease in the number of various types of bridges in different road sections and different maintenance units, and comparison of average technical condition assessment scores.

[0037] Total number of defects = total length or total area of ​​all corresponding defects, disease incidence = total number of defects / total length of bridges that may have this type of defect, structural disease incidence = total number of defects judged as "structural defects" / total length of bridges that may have this type of defect, cycle length = time span from the discovery of the defect to the determination of "effective repair" in the repair effect, repair efficiency = number of defects judged as "effective repair" after repairing them with this type of maintenance measures / total number of defects repaired with this type of maintenance measures.

[0038] In this embodiment, the defect visualization unit supports two display modes, including display in the main beam expansion diagram and in the corresponding surface area of ​​the BIM model. The main beam expansion diagram can be opened by selecting the corresponding component in the structure in the system. Defects displayed in the BIM model can be directly displayed by clicking in the BIM model function. Optionally, the BIM lightweight display function is integrated into the defect visualization unit. The defect visualization unit supports two display contents, including single bridge defect display and summary display of bridge defects of the same size.

[0039] Optionally, the defect visualization unit supports summary display of bridge defects of the same size, screening display according to defect type, and screening display according to span range. The defect visualization unit supports full-cycle animation display, presenting the whole process of defect discovery → observation → repair → observation. The full-cycle visualization management and analysis system for beam-type bridge main beam defects provided in this embodiment provides support for the identification of bridge defects and the determination of their occurrence mechanism through full-cycle visualization management of defects, which helps to improve bridge design theory.

[0040] Figure 1 This is a schematic diagram of the overall structure and data transmission path of the full-cycle visual management and analysis system for beam bridge main beam defects provided in the first embodiment of the present invention. Figure 1As shown, this embodiment provides a full-cycle visual management and analysis system for beam bridge main beam defects, including a field collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a defect visualization unit. The field collection unit develops a mobile phone APP based on the structural discrete standard and the defect description standard, which can synchronize the basic information of the bridge, structural information, historical defects in the MySQL database, and the defect library defined in the "Highway Bridge Technical Condition Assessment Standard" and the maintenance measures library defined in the "Highway Bridge and Culvert Maintenance Specifications". It can record the location and characteristics of the defect on site and upload image information, invite experts to assist in judging the defect scale remotely, and record the measures and effects adopted for defect maintenance on site.

[0041] The short-term monitoring unit provided in this embodiment deploys wireless low-power intelligent low-frequency monitoring sensors on site for key diseases, transmits data to the MySQL database via the 5G wireless network, and collects typical characteristic values ​​of diseases at a fixed frequency. The MySQL database stores basic bridge information, structural information, historical diseases, and a disease library defined in the "Highway Bridge Technical Condition Assessment Standard" and a maintenance measures library defined in the "Highway Bridge and Culvert Maintenance Specifications", and receives data from the on-site collection unit and the short-term monitoring unit.

[0042] The tracking and analysis unit provided in this embodiment indexes related defects by bridge name and component number, displays the length and width (maximum seam width) of the same defect over time in the form of a line graph, predicts its development law and determines whether the defect is a structural defect by the least square method, and can automatically score the technical condition in real time according to the detection time. The statistical analysis unit counts the number of various types of defects on a certain bridge, a certain road section, and a certain maintenance unit, calculates the maintenance expenses and the increase or decrease in the number of bridges of each technical condition level, and compares the duration of the disease cycle, the effective rate of disease repair by maintenance measures, and the average technical condition score.

[0043] The defect visualization unit provided in this embodiment displays single bridge defects or bridge-type defects of the same size in the main beam expansion diagram and the corresponding surface area of ​​the BIM model according to the actual position and relative proportion. The on-site collection unit requires the selection of experts from the expert database of the inspection unit for remote assistance when the defect is 4 or 5 when the defect is saved, and determines whether the on-site defect assessment is accurate through video chat. The short-term monitoring unit is integrated into the bridge database and integrated with the defect management. The object of monitoring is the defect, mainly the crack width. In addition, it supports horizontal comparative analysis of the defect monitoring data of bridges with the same structural type and the same construction age.

[0044] The tracking and analysis unit provided in this embodiment uses the least square method to determine the nature of the disease before the disease is repaired, including three results: "apparent disease, structural disease, and need to continue tracking". The tracking and analysis unit uses the least square method to determine the repair effect after the disease is repaired, including "repair is ineffective, repair is effective". The tracking and analysis unit implements disease tracking analysis of two types of data sources.

[0045] For bridge defects tracked and analyzed by regular inspections, the specific steps provided in this embodiment are: maintenance personnel find defects on site, use chalk or stone pencil to mark the defect outline, defect characteristics, and investigation time, and record them in the on-site collection unit and upload them to the database. During each regular inspection, the corresponding defect is found according to the defect location displayed by the system, and after measuring the relevant defect characteristics, the above recording process is repeated. When recording in the on-site collection unit, the historical record information is opened, the characteristics are modified, and the photos are taken again and uploaded, forming the correlation relationship of the defects in the time dimension. When a regular inspection finds that the defect has been repaired, the historical record information is opened, the repair measures are recorded, and the photos are taken and uploaded. After the repair effect is tracked and recorded for 6 consecutive times without obvious development, the full cycle management of the defect is completed. After each upload of the defect information, the system automatically draws a line graph of the length, width, maximum seam width, and area according to its correlation, as well as the results predicted by the least squares method, until there is no obvious development phenomenon after 6 consecutive tracking records after the repair and the result predicted by the least squares method is "repair effective".

[0046] This embodiment is aimed at bridge defects tracked and analyzed by short-term monitoring. Short-term monitoring is used to monitor the characteristics of the defects after the defects are discovered and before repair. The defects after repair are the same as those tracked and analyzed by regular inspections. The statistical analysis unit includes statistics on single bridge defects and calculation of maintenance expenses, comparison of the total number, incidence rate, structural disease incidence rate and cycle duration of various types of defects in different sections and maintenance units, comparison of the efficiency of repair of various types of maintenance measures in different sections and maintenance units, and comparison of the increase and decrease of the number of various types of bridges in different sections and maintenance units, and comparison of average technical condition assessment scores.

[0047] In this embodiment, the total number of diseases = the total length or total area of ​​all corresponding diseases, the disease incidence = the total number of diseases / the total length of bridges that may have this type of disease, the structural disease incidence = the total number of diseases judged as "structural disease" / the total length of bridges that may have this type of disease, the cycle length = the time span from the discovery of the disease to the judgment of the repair effect of the disease as "effective repair", the repair efficiency = the number of diseases whose repair effect is judged as "effective repair" after adopting this type of maintenance measures to repair the disease / the total number of diseases repaired by adopting this type of maintenance measures.

[0048] Preferably, the defect visualization unit supports two display modes, including display in the main beam expansion diagram and in the corresponding surface area of ​​the BIM model. The main beam expansion diagram can be opened by selecting the corresponding component in the structure in the system. The defects displayed in the BIM model can be directly displayed by clicking in the BIM model function. The BIM lightweight display function is integrated in the defect visualization unit. The defect visualization unit supports two display contents, including single bridge defect display and summary display of bridge types of the same size. The defect visualization unit supports summary display of bridge types of the same size, filtered display according to defect type, and filtered display according to span range. The defect visualization unit supports full-cycle animation display, presenting the whole process of defect discovery → observation → repair → observation.

[0049] Figure 2 This is a flow chart of the full-cycle visual management and analysis system for beam bridge main beam defects provided in the first embodiment of the present invention. Figure 2 As shown, the full-cycle visual management and analysis method for beam bridge main beam defects provided in this embodiment includes the following steps:

[0050] Step S1: Collect disease information on site, including new disease information collection and historical disease information tracking collection. The disease information of the same disease at different times is associated through the historical disease information tracking collection.

[0051] Step S2: Carry out short-term disease monitoring on key diseases in certain core stress-bearing areas, deploy wireless low-power intelligent low-frequency monitoring sensors on site, transmit data to the MySQL database via the 5G wireless network, and collect typical characteristic values ​​of the diseases at a fixed frequency.

[0052] Step S3: Automatically draw a curve chart of the change of disease characteristics based on the bridge disease information tracked and analyzed by regular inspection and short-term monitoring, and use the least squares method to predict its future development trend. For the unrepaired diseases, determine whether the nature of the disease is "apparent disease, structural disease, or need to continue tracking" based on the prediction results. When it is "apparent disease", conventional maintenance measures can be used for repair; when it is "structural disease", simulation analysis and calculation are required, and on-site load tests are carried out if necessary, and repair plans are proposed according to specific circumstances; when it is "need to continue tracking", regular inspections or short-term monitoring can be continued. For the repaired diseases, if there is no obvious development phenomenon after 6 consecutive tracking records of the repair effect, and the prediction result is "repair is effective", the full cycle management of the disease is completed; if it is not the above situation, it indicates that the repair measures taken are ineffective or ineffective, and other maintenance measures need to be replaced for repair. In this process, the disease visualization unit can be used to view the location of the disease and the occurrence of diseases of beam bridges of the same size.

[0053] Step S4: Perform on-site maintenance and repair according to the judgment in step S3. After the repair is completed, the repair measures are recorded by the on-site collection unit, and the repair effect judgment in step S3 is performed. When the repair effect is judged as "repair is invalid", repeat step S4.

[0054] Step S5: Statistics are collected for the total number of defects, incidence rate, repair efficiency, cycle time, number of bridges with technical condition lifts, and average technical condition scores. Statistics can be collected for single bridges, road sections, and maintenance units. For single bridges, maintenance expenses can be calculated. In this process, the defect visualization unit can be used to view the location of defects, view the occurrence of defects on beam bridges of the same size, filter and display by defect type, filter and display by span range, and view the full cycle animation display of defect discovery → observation → repair → observation.

[0055] Step S6: Based on the statistical results in step S5, the maintenance work quality evaluation and the maintenance and repair effect evaluation are performed.

[0056] The present embodiment provides a full-cycle visual management and analysis system for beam-type bridge main beam diseases, including an on-site collection unit, a short-term monitoring unit, a MySQL database, a tracking and analysis unit, a statistical analysis unit, and a disease visualization unit. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided in the present embodiment integrates on-site disease investigation and monitoring data through an information method, realizes disease development prediction, disease nature judgment, and disease repair effect judgment of maintenance measures by tracking and analysis, and realizes maintenance work quality evaluation by statistical analysis. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided in the present embodiment supports disease visualization display, forming a full process management and analysis of beam-type bridge main beam diseases from discovery to observation, and then from repair to observation. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided in the present embodiment realizes disease nature judgment and disease repair effect judgment through tracking and analysis, provides support for the selection of disease repair measures, and contributes to the effective use of maintenance resources. The full-cycle visual management and analysis system for beam-type bridge main beam diseases provided in the present embodiment realizes the evaluation of maintenance work quality and the comparison of maintenance measures repair effects through statistical analysis, which contributes to the overall improvement of maintenance quality. The full-cycle visual management and analysis system for beam bridge main beam defects provided in this embodiment provides support for the identification of bridge defects and the determination of their occurrence mechanisms through full-cycle visual management of defects, which helps to improve bridge design theory.

[0057] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present invention, but the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also considered to be within the scope of protection of the present invention.

Claims

1. A full-cycle visual management and analysis system for beam bridge main beam defects, characterized in that: It includes field collection unit, short-term monitoring unit, MySQL database, tracking and analysis unit, statistical analysis unit, and disease visualization unit; The on-site acquisition unit is used to form a communication module according to the structural discrete standard and the disease description standard, synchronize the basic information of the bridge, structural information, historical diseases, pre-defined disease library, and pre-defined maintenance measures library in the MySQL database, record the location and characteristics of the disease on-site and upload image information, remotely connect and invite experts to assist in judging the disease scale, and record the measures and effects of disease maintenance on-site; The short-term monitoring unit is used to focus on the diseases, deploy wireless low-power intelligent low-frequency monitoring sensors on site, transmit data to the MySQL database through the wireless network, and collect typical characteristic values ​​of the diseases at a fixed frequency; The MySQL database is used to store the basic information of the bridge, the structural information, the historical diseases, a predefined disease library, and a predefined maintenance measures library, and receive data transmitted by the on-site acquisition unit and the short-term monitoring unit; The tracking and analysis unit is used to index related defects according to the bridge name and component number, display the change of the length and width of the same defect over time in the form of a line graph, predict the development law of the defect by the least square method, determine whether the defect is a structural defect, and automatically score the technical condition in real time according to the detection time; The statistical analysis unit is used to count the number of various types of defects on bridges, road sections and maintenance units, calculate maintenance expenses and the increase or decrease in the number of bridges of various technical condition levels, and compare the duration of the defect cycle, the effective rate of defect repair by maintenance measures, and the average technical condition score; The defect visualization unit is used to display single bridge defects or bridge defects of the same size in the main beam expansion diagram and the corresponding surface area of ​​the building information model according to the actual position and preset proportion.

2. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The step of remotely inviting an expert to assist in determining the disease scale includes: When the damage scale of the upper load-bearing components, piers, abutments, foundations, and bearings is 4 or 5, experts are selected for remote assistance to determine whether the on-site damage assessment is accurate through video chat.

3. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The short-term monitoring unit is integrated with the disease management module and is set in the bridge database. The monitoring object of the short-term monitoring unit is the disease, and the disease includes crack width. The short-term monitoring unit is used to perform horizontal comparative analysis on the disease monitoring data of bridges of the same structural type or the same construction age.

4. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The tracking and analysis unit determines the damage result based on the least squares method before the damage is repaired, including apparent damage, structural damage or the need for further tracking. The tracking and analysis unit determines the repair result based on the least squares method after the damage is repaired, including ineffective repair or effective repair.

5. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The statistical analysis unit is used for single bridge disease statistics and maintenance cost estimation, comparison of the total number, incidence, structural disease incidence and cycle duration of various types of diseases in different sections and different maintenance units, comparison of the effective rate of disease repair of various types of maintenance measures in different sections and different maintenance units, and comparison of the increase and decrease of the number of various types of bridges in different sections and different maintenance units, and comparison of the average technical condition assessment scores; Among them, the total number of diseases is equal to the total length or total area of ​​all corresponding diseases, the disease incidence rate is equal to the total number of diseases or the total length of bridges that may have this type of disease, the structural disease incidence rate is equal to the total number of diseases judged as "structural disease" or the total length of bridges that may have this type of disease, the cycle duration is equal to the time span from the discovery of the disease to the judgment of the repair effect of the disease as "effective repair", and the repair efficiency rate is equal to the number of diseases whose repair effect is judged as "effective repair" after adopting this type of maintenance measures for repair or the total number of diseases repaired by adopting this type of maintenance measures.

6. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The disease visualization unit is used to select a component corresponding to the structure in the visualization management and analysis system to open the main beam expansion diagram; The defect visualization unit is used to select and display the defect in the building information model.

7. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The disease visualization unit is provided with a lightweight display function of a building information model.

8. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The display methods of the disease visualization unit include single bridge disease display and summary display of bridge diseases of the same size.

9. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The disease visualization unit has a summary display of bridge-type diseases of the same size, including screening and displaying according to disease type and screening and displaying according to span range.

10. The full-cycle visual management and analysis system for beam bridge main beam defects according to claim 1 is characterized in that: The disease visualization unit is used to display the disease in a full-cycle animation, showing the entire process from disease discovery to observation and then from repair to observation.

Images