A maintenance decision-making method and system for rigid hinges of steel box girders based on intelligent monitoring

Abstract

The present invention discloses a maintenance decision method and system for rigid hinges of steel box girders based on intelligent monitoring, including determining the key stress-bearing structures of the rigid hinges of steel box girders and maintenance decision indicators corresponding to each key stress-bearing structure; obtaining the measured value of each maintenance decision indicator; performing graded evaluation on the measured value of each maintenance decision indicator according to the preset indicator value of the key stress-bearing structure of the rigid hinges of each steel box girder to obtain the state evaluation result of the key stress-bearing structure of the rigid hinges of each steel box girder; outputting targeted maintenance decisions according to the evaluation result; the present invention integrates multiple indicators of rigid hinge maintenance, ensures the accuracy of the calculation of the cumulative displacement of the sliding support by means of intelligent monitoring technology, obtains the axial force state of the small box girder by axial force monitoring of representative bolts at the fixed end of the small box girder, realizes scientific evaluation of the dehumidification and cooling system based on the environmental temperature and humidity monitoring of each closed area of ​​the rigid hinge, and thus helps to realize the intelligent maintenance of the rigid hinges of the steel box girder.

Description

Technical Field

[0001] The present invention belongs to the technical field of bridge maintenance, and more specifically, relates to a maintenance decision-making method and system for a rigid hinge of a steel box girder based on intelligent monitoring. Background Art

[0002] For multi-tower steel box girder cable-stayed bridges, due to the long main girder, the problem of temperature deformation is prominent. To scientifically and reasonably solve the problem of temperature deformation of the long main girder, setting a rigid hinge device at the mid-span of the main girder of the whole bridge is an innovative solution. As a large mechanical structure, the rigid hinge is much more complex than the ordinary steel box girder structure. The types and quantities of its key components and accessory components are miscellaneous, including sliding bearings, dampers, expansion joints, sealing joints, etc. The performance degradation of each component will affect the overall working performance of the rigid hinge, and thus involve the safety, applicability and durability of the entire bridge. There is no standard or precedent for the maintenance method of this innovative key stress structure of the rigid hinge at home and abroad, and it has a relatively large maintenance and management difficulty, mainly manifested as the inability to quantify the operation state of the rigid hinge and the inability to establish a decision-making system for rigid hinge maintenance based on quantitative indicators. Based on the above analysis, it is very urgent and necessary to research and construct a state monitoring analysis and scientific maintenance decision-making system for the rigid hinge based on intelligent monitoring technology to fill the gap in the rigid hinge maintenance method in the industry.

[0003] With the development of Internet of Things sensors and software informatization technology, the bridge health monitoring system has become the main support for the maintenance decision-making of conventional large bridge structures. By collecting environmental action and structural response data through sensors installed on various components of the bridge to monitor and evaluate the operation status of the bridge, when the index exceeds the threshold, the system sends an alarm signal to provide a basis and guidance for the maintenance, repair and management decision-making of the bridge.

[0004] Different from the situation where there are "specifications" for bridge monitoring systems and structural evaluations, there is no standard or precedent for the monitoring method and evaluation method of the rigid hinge. Conventional bridge monitoring indicators, sensor technologies and system algorithm functions are not applicable to the steel box girder rigid hinge device. The following deficiencies are summarized:

[0005] (1) For the application of bridge maintenance decision-making based on health monitoring, generally, threshold exceedance judgment and maintenance decision-making guidance are carried out for a single monitoring index, and the multi-index state analysis is generally completed by engineers offline, with relatively low levels of intelligence and timeliness;

[0006] (2) The sampling frequency and sampling accuracy of the commonly used bearing displacement monitoring method for bridges cannot simultaneously meet the requirements of large range, high precision and high frequency response of the rigid hinge structure, and new monitoring technologies are needed;

[0007] (3) Strain sensors are generally used to monitor the axial force of components in bridge monitoring. However, there is no installation space for strain sensors on the small box beams with rigid hinges of steel box beams, so the axial force state of the small box beam cannot be obtained through strain monitoring.

[0008] (4) In bridge monitoring, temperature and humidity meters are usually installed at representative cross-sections of steel box girders to monitor the humidity status inside the box girder. However, for rigid hinges, which have many enclosed areas, complex internal structures, and many air leaks and water seepage locations, there is still no standard or case to follow for how to achieve a scientific evaluation of the dehumidification status. Summary of the invention

[0009] In view of the above defects or improvement needs of the prior art, the present invention provides a steel box girder rigid hinge maintenance decision method and system based on intelligent monitoring, which integrates multiple indicators of rigid hinge maintenance, and uses intelligent monitoring technology to realize automatic rigid hinge structure state perception through algorithms and automatically push scientific, reasonable and actionable maintenance decision suggestions, without the need for engineers to conduct offline analysis, greatly reducing the manual input of maintenance decisions, and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges; the combination of the pull-wire displacement meter and the millimeter-wave radar solves the problem that various monitoring equipment cannot simultaneously take into account static deformation monitoring and dynamic The problem of deformation monitoring was solved; the accuracy of the calculation of the cumulative displacement of the sliding bearing was ensured; an ultrasonic bolt dynamometer was used to obtain the axial force state of the small box girder through axial force monitoring of the representative bolts at the fixed end of the small box girder, which solved the problem that the strain gauge could not be installed and the axial force of the small box girder could not be obtained, thus laying the foundation for maintenance decisions based on the axial force of the small box girder; based on the environmental temperature and humidity monitoring of each closed area of ​​the rigid hinge, the performance of the dehumidification and cooling system was evaluated by analyzing the time proportion of temperature and humidity data in different intervals, which provided support for the durability evaluation of the internal steel structure of the rigid hinge, the maintenance of the dehumidification and cooling system equipment, and the maintenance of the sealing of the rigid hinge.

[0010] In order to achieve the above object, one aspect of the present invention provides a steel box girder rigid hinge maintenance decision method based on intelligent monitoring, which is implemented by using a rigid hinge intelligent data acquisition system and includes the following steps:

[0011] S1: Determine the key force-bearing structure of the rigid hinge of the steel box girder and the maintenance decision index corresponding to each key force-bearing structure of the rigid hinge of the steel box girder;

[0012] S2: monitoring and obtaining the measured values ​​of each maintenance decision indicator through the rigid hinge intelligent data acquisition unit and transmitting them to the data processing and analysis module;

[0013] S3: The data processing and analysis module conducts a hierarchical evaluation on the measured values of each maintenance decision index according to the preset index values of the key stress-bearing structures of each steel box girder rigid hinge, obtains the status evaluation results of the key stress-bearing structures of each steel box girder rigid hinge, and transmits them to the maintenance decision module; the maintenance decision module outputs corresponding maintenance decisions according to the evaluation results;

[0014] The rigid hinge intelligent data acquisition system includes a rigid hinge intelligent data acquisition unit, a data processing and analysis module, a warning module for identifying abnormal states and issuing alarms, and a maintenance decision module; the rigid hinge intelligent data acquisition unit includes a sliding support dynamic and static cumulative displacement monitoring module, a small box girder axial force acquisition module, and a temperature and humidity ratio acquisition module for the dehumidification, cooling and sealing system; the sliding support dynamic and static cumulative displacement monitoring module includes a wire rope displacement meter installed on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter wave radar installed at the end of the small box girder for monitoring the dynamic displacement of the rigid hinge; the small box girder axial force acquisition module includes high-strength bolts installed at the end of the small box girder and an ultrasonic bolt force gauge for monitoring the axial force of the high-strength bolts; the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system includes a number of temperature and humidity meters for monitoring the humidity and temperature in each area inside the rigid hinge.

[0015] Further, in step S1, the key stress-bearing structures of the steel box girder rigid hinge include sliding supports, small box girders, and the dehumidification, cooling and sealing system;

[0016] The maintenance decision indexes corresponding to the sliding support are the dynamic and static cumulative displacement of the sliding support and the sliding support displacement-temperature correlation;

[0017] The maintenance decision index corresponding to the small box girder is the axial force of the small box girder;

[0018] The maintenance decision index corresponding to the dehumidification, cooling and sealing system is the proportion of the over-limit time of temperature and humidity in each dehumidification and cooling area.

[0019] Further, the data processing module is respectively connected to the sliding support dynamic and static cumulative displacement monitoring module, the small box girder axial force acquisition module, the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system, the warning module, and the maintenance decision module.

[0020] Further, in step S2, the measured values of the maintenance decision indexes of the key stress-bearing structures of the steel box girder rigid hinge are monitored and obtained through the rigid hinge intelligent data acquisition unit; including:

[0021] S21: Obtain the high-precision dynamic and static full-scale cumulative displacement of the rigid hinge through the sliding support dynamic and static cumulative displacement monitoring module;

[0022] S22: Obtain the axial force changes at the end and of the whole small box girder through the small box girder axial force acquisition module;

[0023] S23: Obtain the temperature and humidity ratio of the dehumidification, cooling and sealing system through the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system.

[0024] Furthermore, obtaining the high-precision dynamic and static full-scale cumulative displacement of the rigid hinge through the dynamic and static cumulative displacement monitoring module of the sliding support in step S21 includes:

[0025] Filter out the low-precision data micro-fluctuations of the monitoring data of the pull rope displacement meter on the sliding support by using the high-frequency filtering method to obtain the high-precision static displacement effect;

[0026] Filter out the static temperature effect of the rigid hinge displacement and the temperature drift effect of the millimeter wave radar itself together by using the low-frequency filtering of the monitoring data of the millimeter wave radar at the end of the small box girder to obtain the high-precision dynamic displacement effect;

[0027] Based on the unified time axis, perform high-frequency filtering and low-frequency filtering processing on the high-precision static displacement effect and the high-precision dynamic displacement effect respectively, and then perform cumulative displacement calculation, and obtain the full-scale support cumulative displacement of the rigid hinge by superposition;

[0028] Obtaining the temperature and humidity ratio of the dehumidification, cooling and sealing system through the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system in step S23 includes:

[0029] Determine the representative enclosed area inside the rigid hinge;

[0030] Monitor the ambient temperature and humidity of the representative enclosed area through a temperature and humidity meter;

[0031] Calculate the humidity time ratio of the representative enclosed area.

[0032] Furthermore, step S3 also includes:

[0033] S31: According to the preset index values of the dynamic and static cumulative displacement of the sliding support and the displacement-temperature correlation, perform hierarchical evaluation on the measured values of the maintenance decision-making indexes of the dynamic and static cumulative displacement of the sliding support and the displacement-temperature correlation, obtain the sliding support state evaluation result, and output the maintenance decision based on the dynamic and static cumulative displacement of the sliding support and the displacement-temperature correlation according to the sliding support state evaluation result;

[0034] S32: According to the preset index value of the axial force of the small box girder, perform hierarchical evaluation on the measured values of the maintenance decision-making indexes of the axial force of the small box girder, obtain the axial force state evaluation result of the small box girder, and output the maintenance decision based on the axial force of the small box girder according to the axial force state evaluation result of the small box girder;

[0035] S33: Evaluate the measured value of the maintenance decision index of the temperature and humidity time ratio in the representative closed area of the rigid hinge by grading according to the preset index value of the temperature and humidity time ratio in the representative closed area of the rigid hinge, obtain the performance evaluation result of the dehumidification and cooling system of the rigid hinge, and output the maintenance decision based on the temperature and humidity time ratio according to the performance evaluation result of the dehumidification and cooling system of the rigid hinge.

[0036] Furthermore, the evaluation result of the sliding bearing state in step S31 is obtained by comprehensively analyzing and evaluating the bearing state based on the cumulative displacement analysis result and the displacement-temperature correlation analysis result, and combining information such as grease loss and replenishment, dust deposition and cleaning records, ambient temperature and humidity conditions, and bearing void inspection results.

[0037] Step S31 includes:

[0038] When the dynamic and static cumulative displacement of the sliding bearing < 4 km, it is in the green state and the bearing is in the normal working range;

[0039] When 4 km < the dynamic and static cumulative displacement of the sliding bearing < 5 km, it enters the yellow warning state and the inspection frequency needs to be increased;

[0040] When the dynamic and static cumulative displacement of the sliding bearing > 5 km, it enters the red warning state. When the dynamic and static cumulative displacement of the sliding bearing exceeds the designed maximum limit value, the bearing friction pair may be damaged at any time, and it is necessary to carry out the replacement work of the bearing friction pair as soon as possible;

[0041] Step S31 also includes:

[0042] Define the confidence interval of the sliding bearing displacement and temperature;

[0043] Based on the displacement and temperature data of the sliding bearing in a normal state for one year as the basic sample data, fit the sliding bearing displacement-temperature correlation curve and determine the normal area of the scatter plot corresponding to the confidence interval;

[0044] Perform confidence interval parameter statistics by confidence fitting with probability P and use it as the state threshold for the current year's evaluation; P is 95% - 99%;

[0045] If the scatter plot of the sliding bearing displacement-temperature exceeds the confidence interval P, issue a yellow warning, replenish silicone grease, and increase the regular inspection frequency to once every quarter and the state evaluation frequency to once every six months;

[0046] If the scatter plot of the sliding bearing displacement-temperature frequently exceeds the confidence interval P and the cumulative yellow warning duration exceeds 5 days, then re-evaluate every other month after replenishing silicone grease. If the correlation still does not recover, replace the bearing friction pair.

[0047] Furthermore, step S32 includes:

[0048] The axial force index of the small box girder is divided into four levels: green state, blue state, yellow warning and red state;

[0049] When the change in axial force does not exceed 30%, it is in the green state, indicating that the axial force of the small box girder is normal and the small box girder is within the normal working range;

[0050] When the change in axial force exceeds 30%, it enters the blue warning state, and on-site inspection needs to be strengthened, the reasons analyzed, or the algorithm optimized;

[0051] When the axial force of the small box girder increases to 15 - 25 tons, it enters the yellow warning state, and the inspection and evaluation of the sliding bearing and the frequency of dust removal and lubrication need to be increased;

[0052] When the axial force of the small box girder increases to 25 - 30 tons, it enters the red warning state, and preparations for bearing replacement need to be started;

[0053] When the axial force of the small box girder exceeds the designed maximum limit of 30 - 35 tons, it is determined that the bearing friction pair has been damaged. After on-site confirmation and combined with the analysis results of bearing correlation and cumulative displacement related monitoring data, the bearing repair and replacement work should be carried out as soon as possible.

[0054] Furthermore, step S33 also includes:

[0055] Select a representative closed area of the rigid hinge and obtain the one-year monitoring data of the temperature and humidity meters within the representative closed area;

[0056] Compare and analyze the humidity data inside and outside the rigid hinge during the plum rain season and typhoon season;

[0057] Analyze the annual and quarterly internal humidity time proportion analysis charts of the rigid hinge, and count the time proportions with humidity > 60% and > 65%;

[0058] Count the time proportion with the temperature difference between the inside and outside of the rigid hinge > 5℃;

[0059] If the following conditions are met: Condition 1: In the annual and quarterly internal humidity time proportion analysis charts of the rigid hinge, the time proportion with humidity less than 60% is higher than the time proportion with humidity higher than 85%, and the time proportion with humidity less than 65% is higher than the time proportion with humidity higher than 95%; Condition 2: The time proportion with the temperature difference between the inside and outside of the rigid hinge > 5℃ in the third quarter range does not exceed 10%; then it is determined that the rigid hinge is in the normal working state;

[0060] If the above two conditions are not met, then, in combination with the regular inspection data and the results of the periodic inspection, make a comprehensive judgment and decision on whether to carry out the maintenance and treatment of relevant components.

[0061] The second aspect of the present invention provides a rigid hinge maintenance decision-making system for steel box girders based on intelligent monitoring, which is used to implement the rigid hinge maintenance decision-making method for steel box girders based on intelligent monitoring, and includes:

[0062] The first main module is used to determine the key stress-bearing structures of the rigid hinges of the steel box girder and the maintenance decision-making indicators corresponding to each of the key stress-bearing structures of the rigid hinges of the steel box girder;

[0063] The second main module is used to monitor and obtain the measured values of each of the maintenance decision-making indicators through the rigid hinge intelligent data acquisition unit and transmit them to the data processing and analysis module;

[0064] The third main module is used to perform hierarchical evaluation on the measured values of each of the maintenance decision-making indicators according to the preset index values of each of the key stress-bearing structures of the rigid hinges of the steel box girder to obtain the state evaluation results of each of the key stress-bearing structures of the rigid hinges of the steel box girder and transmit them to the maintenance decision-making module; the maintenance decision-making module outputs corresponding maintenance decisions according to the evaluation results.

[0065] Generally speaking, compared with the prior art through the above technical solutions conceived by the present invention, the following beneficial effects can be achieved:

[0066] (1) The rigid hinge maintenance decision-making method for steel box girders based on intelligent monitoring of the present invention can realize scientific and comprehensive intelligent maintenance decision-making; it comprehensively considers multiple indicators concerned in rigid hinge maintenance, and with the help of intelligent monitoring technology, it realizes automatic perception of the state of the rigid hinge structure through algorithms and automatically pushes scientific, reasonable and operable maintenance decision-making suggestions. Without the need for engineers to analyze offline, it greatly reduces the manual input in maintenance decision-making and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges.

[0067] (2) The rigid hinge maintenance decision-making method and system for steel box girders based on intelligent monitoring of the present invention can realize high-precision monitoring and calculation of the cumulative displacement. By combining the rope displacement meter and the millimeter wave radar, it solves the problem that various monitoring devices cannot simultaneously take into account static deformation monitoring and dynamic deformation monitoring; it ensures the accuracy of the calculation of the cumulative displacement of the sliding bearing, improves the accuracy of life assessment and the scientificity of bearing maintenance decision-making.

[0068] (3) The rigid hinge maintenance decision-making method and system for steel box girders based on intelligent monitoring of the present invention can realize on-line monitoring of the axial force of the small box girder; by using an ultrasonic bolt dynamometer, the axial force state of the small box girder is obtained by monitoring the axial force of the representative bolts at the fixed end of the small box girder, solving the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thus laying a basic condition for the maintenance decision-making based on the axial force of the small box girder.

[0069] (4) The steel box girder rigid hinge maintenance decision-making method and system based on intelligent monitoring of the present invention can realize the temperature and humidity monitoring of each area of the rigid hinge and the evaluation of the performance of the dehumidification and cooling system; based on the environmental temperature and humidity monitoring of each closed area of the rigid hinge, the performance of the dehumidification and cooling system is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, providing support for the durability evaluation of the internal steel structure of the rigid hinge, the maintenance of the dehumidification and cooling system equipment, and the repair of the sealing performance of the rigid hinge. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a schematic flow chart of a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0071] Figure 2 It is an internal logic schematic diagram of the composition, monitoring, and maintenance decision-making of the key stress structures of the steel box girder rigid hinge in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0072] Figure 3 It is a schematic diagram of the displacement of the sliding support of the rigid hinge in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention, where the triangular lines are large fluctuations, representing the static temperature deformation of the sliding support of the rigid hinge, and the small fluctuations are the dynamic deformation caused by vehicle impact;

[0073] Figure 4 It is a schematic diagram of the static deformation effect of the sliding support of the rigid hinge under the influence of temperature in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0074] Figure 5 It is a schematic diagram of the dynamic deformation effect of the sliding support of the rigid hinge under the influence of vehicle impact in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0075] Figure 6 It is a schematic diagram of obtaining the dynamic and static displacements of the sliding support of the rigid hinge in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0076] Figure 7 It is a schematic diagram of the displacement-temperature correlation and confidence interval of the sliding support in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0077] Figure 8 It is a schematic diagram of the bolt group at the fixed end of the small box girder of the rigid hinge in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0078] Figure 9 It is a schematic diagram of the analysis of the time proportion of humidity inside the rigid hinge in a steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring according to an embodiment of the present invention;

[0079] Figure 10 This is a schematic structural diagram of a rigid hinge maintenance decision-making system based on intelligent monitoring according to an embodiment of the present invention;

[0080] Figure 11 This is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Specific embodiments

[0081] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and 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. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0082] To solve the problems mentioned in the background art, it is necessary to form a set of intelligent monitoring and decision-making systems suitable for the maintenance requirements of rigid hinges, which can achieve automatic perception and intelligent decision-making of the key states of rigid hinges to ensure the structural safety of steel box girder rigid hinges during the operation period. This method should have high operability and can generate greater economic benefits. However, to achieve the above system functions, many technical problems need to be solved, mainly including the following points:

[0083] (1) Determine reasonable maintenance decision-making reference indicators. There are many components in the rigid hinge, and the operation laws and force characteristics of each component are different. How to determine reasonable maintenance decision-making reference indicators and determine specific monitoring target parameters based on these indicators is the first technical difficulty in constructing the maintenance decision-making strategy;

[0084] (2) Compared with conventional bridge bearings, the bearings of rigid hinges will not only generate static temperature deformation, but also generate dynamic impact deformation under the action of heavy vehicle loads. Therefore, the actual bearing deformation is a mixture of static temperature deformation and dynamic impact deformation. The accurate monitoring and acquisition of these two displacements are essential for the analysis of the cumulative displacement of the bearing and the assessment of the wear life. However, the commonly used wire rope displacement gauges for bearing displacement monitoring can only obtain static deformations below 10HZ. How to apply a new monitoring technology that can simultaneously obtain dynamic and static deformations is the second technical difficulty in constructing the maintenance decision-making strategy;

[0085] (3) The axial force state of the small box girder of the rigid hinge cannot be obtained through strain, but only through the axial force state of the end fixing bolts. How to analyze the axial force state of the small box girder based on the monitoring of representative bolt axial forces is the third technical difficulty in constructing the maintenance decision-making strategy.

[0086] For the above reasons, as Figure 1 and Figure 2As shown in the figure, one aspect of the present invention provides a maintenance decision-making method for the rigid hinge of a steel box girder based on intelligent monitoring, which is realized by applying an intelligent data acquisition system for the rigid hinge. The intelligent data acquisition system for the rigid hinge includes an intelligent data acquisition unit for the rigid hinge, a data processing and analysis module, an early warning module for identifying abnormal states and issuing alarms, and a maintenance decision-making module.

[0087] The method includes the following steps:

[0088] S1: Determine the key stress-bearing structures of the rigid hinge of the steel box girder and the corresponding maintenance decision-making indicators for each key stress-bearing structure of the rigid hinge of the steel box girder;

[0089] S2: Monitor and obtain the measured values of each maintenance decision-making indicator through the intelligent data acquisition unit for the rigid hinge and transmit them to the data processing and analysis module;

[0090] S3: The data processing and analysis module performs a hierarchical evaluation on the measured values of each maintenance decision-making indicator according to the preset indicator values of each key stress-bearing structure of the rigid hinge of the steel box girder to obtain the state evaluation results of each key stress-bearing structure of the rigid hinge of the steel box girder and transmit them to the maintenance decision-making module; the maintenance decision-making module outputs corresponding maintenance decisions according to the evaluation results.

[0091] Furthermore, in step S1, there are many types of component parts of the rigid hinge of the steel box girder, including sliding bearings, small box girders and fixed ends, expansion joints, dehumidification, cooling and sealing systems (dehumidifiers, sealing joints and sealing doors), dampers; among them, the key stress-bearing components need to be monitored and maintained with emphasis, mainly including: sliding bearings, small box girders and dehumidification, cooling and sealing systems; the maintenance decision-making indicators corresponding to the sliding bearings are the dynamic and static cumulative displacements of the sliding bearings and the displacement-temperature correlation of the sliding bearings; the maintenance decision-making indicator corresponding to the small box girder is the axial force of the small box girder; the maintenance decision-making indicator corresponding to the dehumidification, cooling and sealing system is the proportion of the time when the temperature and humidity exceed the limit in each dehumidification and cooling area.

[0092] Furthermore, the intelligent data acquisition unit of the rigid hinge includes a dynamic and static cumulative displacement monitoring module for the sliding support, an axial force acquisition module for the small box girder, and a temperature and humidity ratio acquisition module for the dehumidification, cooling and sealing system; the data processing module is respectively connected to the dynamic and static cumulative displacement monitoring module for the sliding support, the axial force acquisition module for the small box girder, the temperature and humidity ratio acquisition module for the dehumidification, cooling and sealing system, the early warning module, and the maintenance decision-making module; the dynamic and static cumulative displacement monitoring module for the sliding support includes a wire rope displacement meter installed on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter wave radar installed at the end of the small box girder for monitoring the dynamic displacement of the rigid hinge; the dynamic and static cumulative displacement monitoring module for the sliding support includes a wire rope displacement meter installed on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter wave radar installed at the end of the small box girder for monitoring the dynamic displacement of the rigid hinge; due to the large displacement stroke of the sliding support of the rigid hinge and the simultaneous existence of the static displacement effect caused by temperature and the dynamic displacement effect caused by vehicle impact, in order to capture the two effects simultaneously, a combination of a wire rope displacement meter and a millimeter wave radar is adopted to capture the static and dynamic effects respectively, and then the cumulative displacement effects are analyzed separately and superimposed, which can greatly improve the accuracy of cumulative displacement calculation and bearing life assessment; among them, the range of the wire rope displacement meter can reach more than 1000 mm, the accuracy can reach 0.1 mm, and the frequency is 1-10 Hz. This device can accurately monitor the temperature deformation effect, but cannot capture the micro-deformation effect of vehicle live load; the monitoring data is filtered by the high-frequency filtering method to filter out the low-precision data micro-fluctuations, and the high-precision static displacement effect can be retained; the accuracy of the millimeter wave radar reaches 0.02 mm, the range is within 100 mm, and the frequency reaches 50 Hz. It can obtain the vehicle impact dynamic displacement effect within a short time range, but the static displacement monitoring accuracy is poor; the low-frequency filtering is used to filter out the static temperature effect of the rigid hinge displacement and the temperature drift effect of the millimeter wave radar itself, and the high-precision dynamic displacement effect is retained; based on the unified time axis, the high-precision static displacement effect and the high-precision dynamic displacement effect are respectively subjected to high-frequency filtering and low-frequency filtering processing and then the cumulative displacement is calculated, and the total bearing cumulative displacement of the rigid hinge can be obtained by superimposing.

[0093] Furthermore, the axial force acquisition module for the small box girder includes high-strength bolts installed at the end of the small box girder and an ultrasonic bolt dynamometer for monitoring the axial force of the high-strength bolts; by in-situ monitoring of the axial force of the representative high-strength bolts at the fixed end of the small box girder and based on the average value of the axial force change of the monitored bolts, the change of the total implemented axial force is converted, and then the axial force change at the end and the whole of the small box girder is obtained.

[0094] Furthermore, the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system includes several temperature and humidity meters for monitoring the humidity and temperature in various regions inside the rigid hinge. Since the environment inside the rigid hinge is relatively harsh, high temperature, high humidity and other situations occur frequently, which affect the working performance of the sliding bearing friction pair. Therefore, a rigid hinge cooling and dehumidification system was developed and implemented during the construction period. The heat conduction of the rigid hinge structure is very high, far exceeding the scope of air-conditioning design, and conventional air conditioners far cannot meet the cooling requirements of the rigid hinge device. To address this problem, the embodiments of the present invention have taken efficient heat insulation measures to reduce the comprehensive heat conduction of the structure, and adopted an unconventional refrigeration method of forced fresh air convection with a large air volume, in the form of heat exchange cooling assisting refrigeration cooling, which greatly saves the energy consumption of refrigeration, reduces the refrigeration frequency, and improves the stability of the equipment.

[0095] Furthermore, in step S2, the measured values of each of the maintenance decision indicators are monitored and obtained through the rigid hinge intelligent data acquisition unit of the rigid hinge intelligent data acquisition system, including:

[0096] S21: Obtain the high-precision dynamic and static full-scale cumulative displacement of the rigid hinge through the dynamic and static cumulative displacement monitoring module of the sliding bearing;

[0097] S22: Obtain the axial force changes at the end and of the overall small box girder through the small box girder axial force acquisition module;

[0098] S23: Obtain the temperature and humidity ratio of the dehumidification, cooling and sealing system through the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system.

[0099] Furthermore, in step S21, obtaining the high-precision dynamic and static full-scale cumulative displacement of the rigid hinge through the dynamic and static cumulative displacement monitoring module of the sliding bearing includes:

[0100] Filter out the low-precision data micro-fluctuations from the monitoring data of the upper pull rope displacement gauge on the sliding bearing by using the high-frequency filtering method to obtain the high-precision static displacement effect;

[0101] Filter out the static temperature effect of the rigid hinge displacement and the temperature drift effect of the millimeter wave radar itself from the monitoring data of the millimeter wave radar at the end of the small box girder by using low-frequency filtering to obtain the high-precision dynamic displacement effect;

[0102] Figure 3 Schematic diagram of the displacement of the rigid hinge sliding bearing; Figure 4 Schematic diagram of the static deformation effect of the rigid hinge sliding bearing under the influence of temperature; Figure 5 Schematic diagram of the dynamic deformation effect of the rigid hinge sliding bearing under the impact of vehicles; Figure 6Schematic diagram for obtaining dynamic and static displacements of rigid hinge sliding bearings; based on a unified time axis, the high-precision static displacement effect and high-precision dynamic displacement effect are respectively subjected to high-frequency filtering and low-frequency filtering, and then cumulative displacement calculation is performed. The total cumulative displacement of the rigid hinge bearing is obtained by superposition; specifically, assuming At time (unit: second), the monitoring data of the bearing displacement is , from the initial state ( ) to the current evaluation state ( ), is the data cut-off time for evaluation; the total sliding stroke of the bearing is defined as the total cumulative displacement of the rigid hinge bearing ， Considering both static and dynamic displacements, the displacement acquisition frequency is defined as , then the step size for cumulative calculation of the cumulative displacement is , then the total cumulative displacement of the rigid hinge bearing is calculated as follows:

[0103] (1)

[0104] Further, in step S22, obtaining the axial force changes at the ends and of the overall small box girder by the small box girder axial force acquisition module includes: selecting representative high-strength bolts at the fixed end of the small box girder for ultrasonic in-situ axial force monitoring;

[0105] Based on the average value of the axial force changes of the bolts at the end of the small box girder, convert it into the change of the total implemented axial force, and then obtain the axial force changes at the ends and of the overall small box girder;

[0106] The evaluation of the axial force state of the small box girder is based on the special inspection results of the high-strength bolts. Therefore, after each special inspection, the axial force state of the small box girder needs to be calculated and evaluated, and compared with the previous calculation results of the axial force of the small box girder.

[0107] Further, in step S23, obtaining the temperature and humidity ratio of the dehumidification, cooling and sealing system by the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system includes: determining a representative enclosed area inside the rigid hinge;

[0108] Monitoring the ambient temperature and humidity of the representative enclosed area by a temperature and humidity meter;

[0109] Calculating the humidity time ratio of the representative enclosed area.

[0110] Further, step S3 also includes:

[0111] S31: Based on the preset index values of the dynamic and static cumulative displacements of the sliding bearing and the displacement-temperature correlation, grade and evaluate the measured values of the maintenance decision-making indexes of the dynamic and static cumulative displacements of the sliding bearing and the displacement-temperature correlation to obtain the sliding bearing state evaluation result, and output the maintenance decision based on the dynamic and static cumulative displacements of the sliding bearing and the displacement-temperature correlation according to the sliding bearing state evaluation result;

[0112] S32: Based on the preset index values of the axial force of the small box girder, grade and evaluate the measured values of the maintenance decision-making indexes of the axial force of the small box girder to obtain the small box girder axial force state evaluation result, and output the maintenance decision based on the axial force of the small box girder according to the small box girder axial force state evaluation result;

[0113] S33: Based on the preset index values of the temperature and humidity time ratio in the representative closed area of the rigid hinge, grade and evaluate the measured values of the maintenance decision-making indexes of the temperature and humidity time ratio in the representative closed area of the rigid hinge to obtain the performance evaluation result of the rigid hinge dehumidification and cooling system, and output the maintenance decision based on the temperature and humidity time ratio according to the performance evaluation result of the rigid hinge dehumidification and cooling system;

[0114] Further, the evaluation result of the sliding bearing state in step S31 is obtained by comprehensively analyzing and evaluating the state of the bearing based on the cumulative displacement analysis result and the displacement-temperature correlation analysis result, and at the same time combining information such as the grease loss and replenishment situation, the dust deposition and cleaning record, the environmental temperature and humidity situation, and the bearing void inspection result.

[0115] Further, step S31 includes:

[0116] When the dynamic and static cumulative displacement of the sliding bearing < 4 km, it is in the green state, indicating that the sliding stroke of the bearing is in a small range, the friction pair of the sliding bearing wears less, and the bearing is in the normal working range;

[0117] When 4 km < the dynamic and static cumulative displacement of the sliding bearing < 5 km, it enters the yellow warning state. The bearing enters the large wear area, and it is necessary to increase the inspection frequency. The regular inspection frequency is increased to once a quarter, and the state evaluation frequency is increased to once every six months;

[0118] When the dynamic and static cumulative displacement of the sliding bearing > 5 km, it enters the red warning state. When the dynamic and static cumulative displacement of the sliding bearing exceeds the designed maximum limit value, the friction pair of the bearing may be damaged at any time. It is recommended to carry out the replacement work of the bearing friction pair as soon as possible.

[0119] Step S31 also includes:

[0120] Define the confidence interval of the sliding bearing displacement and temperature; specifically, Figure 7Schematic diagram for the displacement-temperature correlation analysis and confidence interval of the sliding bearing. In the figure, the blue line is the fitting curve, the cyan color represents the displacement-temperature scatter points, the red area is the confidence interval range, and the two red dashed lines are the upper and lower bounds of the confidence interval; when the bearing is in the normal state, the displacement of the bearing and the ambient temperature show a strong linear correlation. Assume the linear relationship is: , and are the linear relationship parameters obtained by fitting the scatter plot of displacement-temperature within a certain time interval. If the upper limit of a scatter distribution interval is defined as the straight line ， and the lower limit is , the probability that the displacement-temperature scatter points fall within this range can be defined as the confidence interval P, and P generally can be taken as a value between 95% and 99%, which can more reliably identify the abnormal sliding state of the bearing;

[0121] Based on the displacement and temperature data of the sliding bearing in the normal state for one year as the basic sample data, fit the displacement-temperature correlation curve of the sliding bearing and determine the normal area of the scatter plot corresponding to the confidence interval; among them, the normal range of the annual cumulative displacement of the bearing is 80m to 100m; based on the annual dynamic and static cumulative displacement of the sliding bearing and the temperature monitoring data of the sliding bearing, conduct a correlation analysis of displacement and temperature. The displacement and temperature data selected for the correlation analysis are the data points with a 10-minute average value. When the correlation coefficient is greater than 0.9, it is a strong correlation state, and the sliding state of the bearing can be judged to be normal;

[0122] Conduct confidence interval parameter statistics with a confidence level of probability P and use it as the state threshold for the current year's evaluation; P is 95% - 99%;

[0123] If the scatter plot of the sliding bearing's displacement-temperature exceeds the confidence interval P, a yellow warning is issued, indicating that the friction state of the bearing has changed. Supplement the silicone grease and increase the regular inspection frequency to once every quarter, and increase the state evaluation frequency to once every half year;

[0124] If the scatter plot of the sliding bearing's displacement-temperature frequently exceeds the confidence interval P and the cumulative duration of the yellow warning exceeds 5 days, then re-evaluate after one month of supplementing the silicone grease. If the correlation still does not recover, it is recommended to replace the bearing friction pair.

[0125] Furthermore, the evaluation of the axial force state of the small box girder in step S32 is based on the special inspection results of the high-strength bolts. Therefore, after each special inspection, the axial force state of the small box girder needs to be calculated and evaluated and compared with the previous calculation results of the axial force of the small box girder; step S32 also includes:

[0126] Divide the axial force index of the small box girder into four levels: green state, blue state, yellow warning, and red state;

[0127] When the change in axial force does not exceed 30%, it is in the green state, indicating that the axial force of the small box girder is normal and the small box girder is within the normal working range;

[0128] When the change in axial force exceeds 30%, it enters the blue warning state, and on-site inspection needs to be strengthened, the reasons analyzed, or the algorithm optimized;

[0129] When the axial force of the small box girder increases to 15 - 25 tons, it enters the yellow warning state, and the inspection and evaluation of the sliding bearing and the frequency of dust removal and lubrication need to be increased;

[0130] When the axial force of the small box girder increases to 25 - 30 tons, it enters the red warning state, and preparations for bearing replacement need to be started;

[0131] When the axial force of the small box girder exceeds the designed maximum limit by 30 - 35 tons, the bearing friction pair may have been damaged. After on-site confirmation and combined with the analysis results of the bearing correlation and the cumulative displacement monitoring data, the bearing repair and replacement work should be carried out as soon as possible;

[0132] Furthermore, step S33 further includes:

[0133] Select a representative closed area of the rigid hinge, and obtain the one-year monitoring data of the temperature and humidity sensors within the representative closed area; specifically, analyze the one-year monitoring data of the temperature and humidity sensors in 9 typical characteristic areas, including 4 in the sealing area of the rigid hinge sliding bearing, 2 in the inspection passage, 1 outside the box girder, and 2 inside the large box girder outside the sealing door;

[0134] Compare and analyze the humidity data inside and outside the rigid hinge during the plum rain season and typhoon season (usually from May to August);

[0135] Analyze the time proportion analysis chart of the internal humidity of the rigid hinge throughout the year and each quarter, and count the time proportions when the humidity > 60% and > 65%;

[0136] Count the time proportion when the temperature difference between the inside and outside of the rigid hinge > 5°C;

[0137] Normally, the humidity inside and outside the rigid hinge is significantly different. Excluding the influence of temperature, if there is a strong following pattern, it is considered that the rigid sealing performance is poor, and it should be checked whether the access openings, sealing doors, etc. are not closed as required;

[0138] For steel structures, when the humidity exceeds 40%, slow corrosion begins, and when the humidity exceeds 60%, rapid corrosion occurs;

[0139] If it meets Condition 1: In the time proportion analysis chart of the internal humidity of the rigid hinge throughout the year and each quarter (such as Figure 9As shown in the figure, the proportion of time with humidity less than 60% is higher than the proportion of time with humidity higher than 85%, and the proportion of time with humidity less than 65% is higher than the proportion of time with humidity higher than 95%. Condition 2: The proportion of time with the temperature difference inside and outside the rigid hinge in the third quarter range > 5°C does not exceed 10%. Then it is determined that the rigid hinge is in a normal working state. If the above two conditions are not met, then, in combination with the regular inspection data and the results of the periodic inspection, make a decision whether to carry out the maintenance and treatment of relevant components after comprehensive judgment. For example: check the performance of the dehumidifier or the structural tightness, and carry out the structural seal repair or equipment maintenance in a timely manner; specifically include increasing the tightness of the sealing door, repairing and replacing the sealing joints; conduct a re-evaluation of the treatment effect within 3 months after the treatment. Under the action of regular maintenance, if the requirements are not met for two consecutive years, the work of updating and replacing the dehumidifier and replacing the air conditioner filter element should be carried out.

[0140] As Figure 10 shown, the second aspect of the present invention provides a maintenance decision-making system for the rigid hinge of a steel box girder based on intelligent monitoring, which is used to implement the above design method, including

[0141] The first main module is used to determine the key stress structures of the rigid hinge of the steel box girder and the maintenance decision-making indicators corresponding to each of the key stress structures of the rigid hinge of the steel box girder;

[0142] The second main module is used to monitor and obtain the measured values of each of the maintenance decision-making indicators through the intelligent data acquisition unit of the rigid hinge and transmit them to the data processing and analysis module;

[0143] The third main module is used to perform a hierarchical evaluation on the measured values of each of the maintenance decision-making indicators according to the preset index values of each of the key stress structures of the rigid hinge of the steel box girder to obtain the state evaluation results of each of the key stress structures of the rigid hinge of the steel box girder and transmit them to the maintenance decision-making module; the maintenance decision-making module outputs corresponding maintenance decisions according to the evaluation results.

[0144] It should be noted that the maintenance decision-making system for the rigid hinge of the steel box girder based on intelligent monitoring provided in this embodiment can be a computer program (including program code) running in a computer device. For example, the maintenance decision-making system for the rigid hinge of the steel box girder based on intelligent monitoring is an application software; the maintenance decision-making system for the rigid hinge of the steel box girder based on intelligent monitoring can be used to execute the corresponding steps in the above method provided in the embodiments of the present application.

[0145] In some feasible embodiments, the steel box girder rigid hinge maintenance decision-making system provided in this embodiment can be implemented in a combination of software and hardware. As an example, the steel box girder rigid hinge maintenance decision-making system provided in the embodiments of the present application can be a processor in the form of a hardware decoding processor, which is programmed to execute the steel box girder rigid hinge maintenance decision-making method provided in the embodiments of the present application. For example, the processor in the form of a hardware decoding processor can adopt one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0146] In some feasible embodiments, the steel box girder rigid hinge maintenance decision-making system provided in this embodiment can be implemented in software, which can be software in the form of programs and plugins, and includes a series of modules to implement the steel box girder rigid hinge maintenance decision-making method provided in the embodiments of the present invention.

[0147] The steel box girder rigid hinge maintenance decision-making system provided in this embodiment synthesizes multiple indicators concerned in rigid hinge maintenance. With the help of intelligent monitoring technology, it realizes the automatic perception of the rigid hinge structure state through algorithms and automatically pushes scientific, reasonable and operable maintenance decision-making suggestions. There is no need for engineers to analyze offline, which greatly reduces the manual input in maintenance decision-making and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges; the combination of the wire rope displacement meter and the millimeter wave radar is adopted to solve the problem that various monitoring devices cannot simultaneously take into account static deformation monitoring and dynamic deformation monitoring; it ensures the accuracy of the calculation of the cumulative displacement of the sliding bearing; the ultrasonic bolt dynamometer is used to obtain the axial force state of the small box girder by monitoring the axial force of the representative bolts at the fixed end of the small box girder, solving the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thus laying the basic conditions for the maintenance decision-making based on the axial force of the small box girder; based on the environmental temperature and humidity monitoring in each closed area of the rigid hinge, the performance of the dehumidification and cooling system is evaluated by analyzing the time ratio of temperature and humidity data in different intervals, providing support for the durability evaluation of the internal steel structure of the rigid hinge, the maintenance of the dehumidification and cooling system equipment, and the repair of the rigid hinge sealing, and further helping to realize the intelligent maintenance of the steel box girder rigid hinge.

[0148] Taking the rigid hinge in the main navigation channel bridge of a certain bridge as an example, the maintenance decision-making method and system based on intelligent monitoring of the present invention are introduced. The certain bridge is a six-tower single-column four-cable-plane split steel box girder cable-stayed bridge with a length of 70 + 200 + 5×428 + 200 + 70 = 2680m. Due to the long main girder, the problem of temperature deformation is prominent. To scientifically and reasonably solve the problem of temperature deformation of the long main girder, the main navigation channel bridge of the certain bridge adopts an innovative structural system with two main girders equipped with rigid hinge devices at the mid-span of the whole bridge, which is used to release the axial relative displacement of the main girder while restricting other deformations such as bending and torsion, ensuring the rationality of the overall structure force and the safety of the structure. According to different importance and functional characteristics, the rigid hinge is divided into five major parts: the main structure, the accessory components, the durability structure system, the replacement traction system, and the intelligent monitoring system. Among them, the key components of the main structure and the durability structure system need to be monitored and maintained with emphasis.

[0149] The main structure is the key stress part of the rigid hinge, which is related to structural safety. The main structure mainly includes: the fixed end of the small box girder, the small box girder body, the fixed end large box girder, the sliding end large box girder, the special sliding bearing, and the remaining non-key stress steel structures. The durability structure system includes three major parts: the sealing system, the dehumidification and cooling system, and the anti-corrosion coating system of the steel structure itself.

[0150] Introduction to the key monitored and maintained components of the rigid hinge

[0151] Based on the above introduction to the composition of the rigid hinge of the certain bridge, the components that need to be monitored and maintained with emphasis are: the small box girder, the special sliding bearing, the sealing and dehumidification and cooling system. The introduction of each part is as follows:

[0152] (1) The small box girder and the fixed end structure

[0153] The joint of the small box girder of the rigid hinge adopts the "inner flange" bolt connection structure, that is, a end plate is set at the end of the small box girder, bolt holes are opened on the end plate, and it is directly connected with the internal bolts of the end cross diaphragm of the adjacent J1 beam segment; the end plate of the joint between the small box girder and the fixed end is fixed with high-strength bolts. The layout of the end plate bolts is as Figure 8 shown.

[0154] (2) The special sliding bearing of the rigid hinge

[0155] The relative sliding between the small box girder of the rigid hinge and the outer sleeve large box girder is completed by setting the special sliding bearing of the rigid hinge;

[0156] The force on the rigid hinge of a certain bridge is complex, and the operating conditions of its special sliding bearing are relatively harsh. For example, during the operation of the bridge, there will inevitably be wear on the friction pair of the rigid hinge bearing during the reciprocating movement and expansion of the small box girder. The silicone grease decreases and the frictional resistance increases, forming a vicious cycle. Coupled with the adsorption of dust or foreign objects, the durability of the rigid hinge bearing is greatly reduced. Based on this, special research and development designs have been carried out on each component of the rigid hinge during the construction period.

[0157] (3) Sealing and dehumidifying and cooling system

[0158] Since the environment inside the rigid hinge is relatively harsh, high temperature, high humidity and other situations occur frequently, which affect the working performance of the friction pair of the sliding bearing. Therefore, a dehumidifying and cooling system for the rigid hinge was developed and implemented during the construction period. The heat conduction of the rigid hinge structure is very high, far exceeding the scope of air-conditioning design. Conventional air conditioners far cannot meet the cooling requirements of the rigid hinge device. To solve this problem, efficient heat insulation measures were taken to reduce the comprehensive heat conduction of the structure, and an unconventional refrigeration method of forced fresh air convection with a large air volume was adopted. In the form of heat exchange cooling assisting refrigeration cooling, the energy consumption of refrigeration was greatly saved, the refrigeration frequency was reduced, and the stability of the equipment was improved.

[0159] 1) Cooling function. A compound cooling method is adopted, that is, the temperature is controlled within the range of the atmospheric temperature + 5°C by means of air cooling (heat exchange cooling), and then the temperature is further cooled to the safe range by means of compression refrigeration. The characteristics of this device are extremely low energy consumption, very high stability, small temperature adjustment range, and high air filtration requirements. Equipment cooling performance indicators: The maximum cooling capacity is outdoor temperature + 3~5°C, the maximum processing air volume is 2500m³ / h. The maximum air change rate is 12 times / h, and the equipment operating temperature is <75°C.

[0160] 2) Dehumidifying function. The additional cooling device is a ventilation design, and the dehumidifying equipment is higher than that of the same volume enclosed space. The processing air volume of the dehumidifying equipment is 270m³ / h, and the humidity control requirement is 60~65%.

[0161] 3) Sealing function. In order to achieve the purpose of isolating the air inside the rigid hinge from the external atmospheric environment, special heat insulation sealing joints are designed and installed around the small box girder at the expansion joint. In addition, to ensure the normal operation of the rigid hinge dehumidifying and cooling unit, and considering the power consumption energy efficiency ratio as well as the operation convenience and safety, the special working area of the rigid hinge should be separated from the ordinary steel box girder. The sealing system mainly includes three parts: heat insulation door and heat insulation curtain, sealing joint, and expansion joint sealing plate.

[0162] (4) Intelligent data acquisition unit of rigid hinge

[0163] The monitoring system is a key information means to understand the structural state in real time. The data collected by it can be used to evaluate the mechanical states of key components such as rigid hinge bearings and fixed-end bolts, and guide the maintenance decision-making of rigid hinges. The monitoring items and quantities are shown in the following table:

[0164] Measuring point information table of the intelligent data acquisition unit for rigid hinges:

[0165] Serial number Monitoring item Monitoring equipment Quantity Layout position Data mining method 1 Static displacement monitoring of sliding bearing temperature Pull wire displacement gauge 48 Deploy one at each bearing position Calculate static cumulative displacement and displacement-temperature correlation 2 Dynamic displacement monitoring of sliding bearing vehicle impact Millimeter wave radar 4 Deploy one at the end of each small box girder Calculate dynamic cumulative displacement 3 High-strength bolt axial force monitoring Ultrasonic bolt dynamometer 32 Select 8 representative bolts at the end of each small box girder for monitoring Calculate the axial force change at the end of the small box girder 4 Ambient temperature and humidity monitoring Temperature and humidity meter 9 Monitor representative enclosed areas Calculate the humidity time proportion of each area Total 93

[0166] (5)Key evaluation methods and evaluation decision-making ideas for rigid hinges

[0167] 5.1 Evaluation method and maintenance decision-making for the axial force state of small box girders

[0168] 1)Evaluation method

[0169] The evaluation of the axial force state of small box girders is based on the special inspection results of high-strength bolts. Therefore, after each special inspection, the axial force state of the small box girder needs to be calculated and evaluated, and compared with the previous calculation results of the axial force of the small box girder.

[0170] 2)Maintenance decision-making

[0171] ① If it increases by more than 30%, the reasons should be analyzed or the algorithm should be optimized;

[0172] ② If it increases to nearly 20 tons, the maintenance personnel should pay attention, and increase the inspection and evaluation frequency of the sliding bearing and the dust removal and lubrication frequency;

[0173] ③ If it increases to nearly 30 tons, the preparation for bearing replacement should be started. When the axial force exceeds 30 tons, after on-site confirmation and combined with the monitoring data analysis results of bearing correlation and cumulative displacement, the decision to replace the bearing should be made in a timely manner.

[0174] 5.2 Evaluation method and maintenance decision-making for the state of sliding bearings

[0175] 1)Evaluation indicators

[0176] ① Based on the analysis of the bearing displacement monitoring data, the annual cumulative displacement of the bearing is statistically analyzed. The normal range of the annual cumulative displacement of the bearing is 80m to 100m;

[0177] ② Based on the annual bearing displacement and structural monitoring data, the correlation analysis of displacement and temperature is carried out. The displacement and temperature data for the correlation analysis are selected as the data points with a 10-minute average value. When the correlation coefficient is greater than 0.9, it is in a strong correlation state, and the normal sliding state of the bearing can be judged;

[0178] ③ Based on the normal state in the previous year, the confidence interval of the bearing displacement-temperature correlation is analyzed. The confidence interval statistical parameters are fitted with a 97% confidence level and used as the state threshold for the current year's evaluation;

[0179] ④Based on the cumulative displacement analysis results and the displacement-temperature correlation analysis results, and combining information such as the grease loss and replenishment situation, dust deposition and cleaning records, environmental temperature and humidity conditions, and the inspection results of bearing voids, comprehensively analyze and evaluate the state of the bearing.

[0180] 2) Maintenance decision

[0181] ①The cumulative displacement < 4 km, in the green state, and the bearing is within the normal working range;

[0182] ②The cumulative displacement > 4 km and < 5 km, which is a yellow warning. The bearing enters the area with relatively large wear, and the regular inspection frequency is increased to once a quarter, and the state evaluation frequency is increased to once every six months;

[0183] ③The cumulative displacement > 5 km, which is a red warning, and it is recommended to replace the bearing;

[0184] ④The position of the displacement-temperature scatter plot exceeds the 97% confidence interval of the correlation, and a yellow warning should be issued, indicating that the friction state of the bearing has changed. Supplement the silicone grease and increase the regular inspection frequency to quarterly, and the state evaluation frequency to semi-annual;

[0185] ⑤The position of the displacement-temperature scatter plot frequently exceeds the 97% confidence interval of the correlation, and the cumulative duration of the yellow warning exceeds 5 days. Then, re-evaluate one month after supplementing the silicone grease. If the correlation still does not recover, it is recommended to replace the bearing friction pair.

[0186] 5.3 Performance evaluation method and maintenance decision of the dehumidification and cooling system

[0187] 1) Evaluation method

[0188] ①Analyze the whole-year monitoring data of the temperature and humidity sensors in 9 typical characteristic areas, including 4 in the sealing area of the rigid hinge sliding bearing, 2 in the inspection passage, 1 outside the box girder, and 2 inside the large box girder outside the sealing door.

[0189] ②Compare and analyze the humidity data inside and outside the rigid hinge during the plum rain season and typhoon season (usually from May to August);

[0190] ③Analyze the annual and quarterly internal humidity time proportion analysis charts of the rigid hinge;

[0191] ④Statistically calculate the time proportion when the humidity > 60% and > 65%;

[0192] ⑤Statistically calculate the time proportion when the temperature difference between the inside and outside of the rigid hinge > 5℃.

[0193] 2) Maintenance decision

[0194] ① The humidity inside and outside the rigid hinge should be significantly different. Excluding the influence of temperature, if there is a strong following pattern, it is considered that the rigid sealing performance is poor, and it is necessary to check whether the access doors and the sealing doors are not closed as required.

[0195] ② For the analysis results of the annual humidity time proportion analysis chart, the time proportion with humidity less than 60% should be higher than 85%, and the time proportion with humidity less than 65% should be higher than 95%.

[0196] ③ The time proportion with the temperature difference inside and outside the rigid hinge greater than 5°C in the range from June to September (the third quarter) should not exceed 10%.

[0197] ④ If the above requirements are not met, combined with the regular inspection data and the results of the periodic inspection, make a comprehensive judgment and decide whether to carry out the maintenance and treatment of relevant components. For example: increase the sealing performance of the sealing door, repair and replace the sealing section, replace and repair the dehumidification equipment, replace the air conditioner filter element, and conduct a re-evaluation of the treatment effect within 3 months after the treatment is completed.

[0198] The third aspect of the present invention further provides an electronic device. Figure 11 It is a schematic structural diagram of the electronic device of this embodiment. As Figure 11 shown, the electronic device 1000 in this embodiment may include: a processor 1001, a network interface 1004, and a memory 1005. In addition, the above-mentioned electronic device 1000 may further include: a user interface 1003, and at least one communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. Among them, the user interface 1003 may include a display screen (Display) and a keyboard (Keyboard). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a non-volatile memory, such as at least one disk memory. Optionally, the memory 1005 may further be at least one storage device located far from the aforementioned processor 1001. As Figure 11 shown, the memory 1005, as a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and a device control application program.

[0199] As Figure 11 shown in the electronic device 1000, the network interface 1004 can provide network communication functions; while the user interface 1003 is mainly used to provide an input interface for users; and the processor 1001 can be used to call the device control application program stored in the memory 1005 to achieve:

[0200] Determine the key stress structures of the steel box girder rigid hinge and the maintenance decision-making indicators corresponding to each of the key stress structures of the steel box girder rigid hinge;

[0201] Monitor and obtain the measured values of each maintenance decision-making indicator of each key stress structure of the steel box girder rigid hinge through the intelligent data acquisition unit of the rigid hinge;

[0202] According to the preset index values of each key stress structure of the steel box girder rigid hinge, conduct a hierarchical evaluation of the measured values of each maintenance decision-making indicator to obtain an evaluation result, and output maintenance decisions based on the dynamic and static cumulative displacement of the sliding bearing, maintenance decisions based on the displacement-temperature correlation of the sliding bearing, maintenance decisions based on the axial force of the small box girder, and maintenance decisions based on the temperature and humidity time ratio according to the evaluation result.

[0203] It should be understood that in some feasible implementation manners, the above-mentioned processor 1001 may be a central processing unit (CPU), and this processor may also be other general-purpose processors, DSPs, ASICs, FPGAs or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc. This memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A part of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0204] In specific implementation, the above-mentioned electronic device 1000 may execute the implementation manners provided in each of the above steps through its built-in various functional modules. Specifically, reference may be made to the implementation manners provided in each of the above steps, which will not be elaborated here. Figure 1 See the implementation manners provided in each of the above steps specifically, and details are not described here again.

[0205] The electronic device provided in this embodiment integrates multiple indicators concerned in the maintenance of rigid hinges. With the help of intelligent monitoring technology, it realizes the automatic perception of the rigid hinge structure state through algorithms and automatically pushes scientific, reasonable and operable maintenance decision-making suggestions. There is no need for engineers to conduct offline analysis, which greatly reduces the manual input in maintenance decision-making and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges. The combination of the wire rope displacement sensor and the millimeter-wave radar adopted solves the problem that various monitoring devices cannot simultaneously take into account static deformation monitoring and dynamic deformation monitoring; it ensures the accuracy of the calculation of the cumulative displacement of the sliding support; the ultrasonic bolt force gauge is adopted to obtain the axial force state of the small box girder by monitoring the axial force of the representative bolts at the fixed end of the small box girder, solving the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thus laying the basic conditions for the maintenance decision-making based on the axial force of the small box girder; based on the environmental temperature and humidity monitoring in each closed area of the rigid hinge, the performance of the dehumidification and cooling system is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, providing support for the durability evaluation of the internal steel structure of the rigid hinge, the maintenance of the dehumidification and cooling system equipment and the repair of the seal of the rigid hinge, and further helping to realize the intelligent maintenance of the rigid hinge of the steel box girder.

[0206] The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program that is executed by a processor to implement Figure 1 the methods provided in each step in, and specifically, reference may be made to the implementation manners provided in each of the above steps, which will not be elaborated here.

[0207] The computer-readable storage medium provided in this embodiment integrates multiple indicators concerned in the maintenance of rigid hinges. With the help of intelligent monitoring technology, it realizes the automatic perception of the rigid hinge structure state through algorithms and automatically pushes scientific, reasonable and operable maintenance decision-making suggestions. There is no need for engineers to conduct offline analysis, which greatly reduces the manual input in maintenance decision-making and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges. The combination of the wire rope displacement sensor and the millimeter-wave radar adopted solves the problem that various monitoring devices cannot simultaneously take into account static deformation monitoring and dynamic deformation monitoring; it ensures the accuracy of the calculation of the cumulative displacement of the sliding support; the ultrasonic bolt force gauge is adopted to obtain the axial force state of the small box girder by monitoring the axial force of the representative bolts at the fixed end of the small box girder, solving the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thus laying the basic conditions for the maintenance decision-making based on the axial force of the small box girder; based on the environmental temperature and humidity monitoring in each closed area of the rigid hinge, the performance of the dehumidification and cooling system is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, providing support for the durability evaluation of the internal steel structure of the rigid hinge, the maintenance of the dehumidification and cooling system equipment and the repair of the seal of the rigid hinge, and further helping to realize the intelligent maintenance of the rigid hinge of the steel box girder.

[0208] Any reference to memory, storage, database, or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct rambus dynamic RAM (DRDRAM), and rambus dynamic RAM (RDRAM), etc.

[0209] Those skilled in the art can easily understand that the above description is only a preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A steel box girder rigid hinge maintenance decision method based on intelligent monitoring, characterized by: The application of the rigid hinge intelligent data acquisition system includes the following steps: S1: Determine the key force-bearing structure of the rigid hinge of the steel box girder and the maintenance decision index corresponding to each key force-bearing structure of the rigid hinge of the steel box girder; S2: monitoring and obtaining the measured values ​​of each maintenance decision indicator through the rigid hinge intelligent data acquisition unit and transmitting them to the data processing and analysis module; S3: the data processing and analysis module performs a hierarchical evaluation on the measured values ​​of each of the maintenance decision indicators according to the preset index values ​​of the key stress-bearing structures of the rigid hinges of each of the steel box girders, obtains the state evaluation results of the key stress-bearing structures of the rigid hinges of each of the steel box girders, and transmits the results to the maintenance decision module; The maintenance decision module outputs corresponding maintenance decisions according to the evaluation results; The rigid hinge intelligent data acquisition unit includes a sliding support dynamic and static cumulative displacement monitoring module, a small box beam axial force acquisition module, and a dehumidification and cooling and sealing system temperature and humidity ratio acquisition module; the sliding support dynamic and static cumulative displacement monitoring module includes a pull-rope displacement meter arranged on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter-wave radar arranged at the end of the small box beam for monitoring the dynamic displacement of the rigid hinge; low-frequency filtering is used to filter out the static temperature effect of the rigid hinge displacement and the temperature drift effect of the millimeter-wave radar itself, retaining the high-precision dynamic displacement effect; based on a unified time axis, the high-precision static displacement effect and the high-precision dynamic displacement effect are combined. After high-frequency filtering and low-frequency filtering are respectively performed, the cumulative displacement calculation is performed, and the cumulative displacement of the full support of the rigid hinge can be obtained by superposition; the small box beam axial force acquisition module includes a high-strength bolt arranged at the end of the small box beam and an ultrasonic bolt dynamometer for monitoring the axial force of the high-strength bolt; by ultrasonic axial force in-situ monitoring of representative high-strength bolts at the fixed end of the small box beam, the average value of the axial force change of the monitored bolts is converted into the change of the total implemented axial force, and then the axial force change of the end of the small box beam and the whole is obtained; the temperature and humidity ratio acquisition module of the dehumidification, cooling and sealing system includes a number of temperature and humidity meters for monitoring the humidity and temperature of each area inside the rigid hinge; The key force-bearing structure of the rigid hinge of the steel box girder in step S1 includes a sliding support, a small box girder, and a dehumidification, cooling and sealing system; The maintenance decision index corresponding to the sliding bearing is the dynamic and static cumulative displacement of the sliding bearing and the sliding bearing displacement-temperature correlation; The maintenance decision index corresponding to the small box girder is the axial force of the small box girder; The maintenance decision indicator corresponding to the dehumidification, cooling and sealing system is the proportion of temperature and humidity exceeding the limit time in each dehumidification and cooling area.

2. According to claim 1, a steel box girder rigid hinge maintenance decision method based on intelligent monitoring is characterized by: The data processing module is respectively connected to the sliding support dynamic and static cumulative displacement monitoring module, the small box beam axial force acquisition module, the dehumidification and cooling and sealing system temperature and humidity ratio acquisition module, the early warning module and the maintenance decision module.

3. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 2 is characterized by: In step S2, the measured values ​​of the maintenance decision index of the key force-bearing structure of the rigid hinge of the steel box girder are monitored and obtained by the rigid hinge intelligent data acquisition unit; including: S21: Obtain the high-precision dynamic and static cumulative displacement of the rigid hinge through the dynamic and static cumulative displacement monitoring module of the sliding support; S22: obtaining the axial force changes of the small box beam end and the whole through the small box beam axial force acquisition module; S23: obtaining the temperature and humidity ratio of the dehumidification, cooling and sealing system through a temperature and humidity ratio obtaining module of the dehumidification, cooling and sealing system.

4. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 3 is characterized by: The step S21 of obtaining the high-precision dynamic and static cumulative displacement of the rigid joint through the dynamic and static cumulative displacement monitoring module of the sliding support includes: The monitoring data of the pull-rope displacement meter on the sliding support is filtered out with a high-frequency filtering method to obtain a high-precision static displacement effect. The monitoring data of the millimeter-wave radar at the end of the small box beam is filtered out with low frequency to filter out the static temperature effect of the rigid hinge displacement and the temperature drift effect of the millimeter-wave radar itself, so as to obtain a high-precision dynamic displacement effect. Based on a unified time axis, the high-precision static displacement effect and the high-precision dynamic displacement effect are respectively subjected to high-frequency filtering and low-frequency filtering, and then the cumulative displacement is calculated, and the cumulative displacement of the full support of the rigid hinge is obtained by superposition; In step S23, the temperature and humidity ratio of the dehumidification, cooling and sealing system is obtained by the temperature and humidity ratio obtaining module of the dehumidification, cooling and sealing system, including: Determine the representative enclosed area inside the rigid hinge; Monitoring the ambient temperature and humidity of the representative enclosed area by means of a temperature and humidity meter; The percentage of time that the representative enclosed area is wet is calculated.

5. A steel box girder rigid hinge maintenance decision method based on intelligent monitoring according to any one of claims 1 to 4, characterized in that: Step S3 also includes: S31: According to the preset index values ​​of the dynamic and static cumulative displacement and displacement-temperature correlation of the sliding bearing, the measured values ​​of the maintenance decision index of the dynamic and static cumulative displacement and displacement-temperature correlation of the sliding bearing are graded and evaluated, and the sliding bearing state evaluation result is obtained, and the maintenance decision based on the dynamic and static cumulative displacement and displacement-temperature correlation of the sliding bearing is output according to the sliding bearing state evaluation result; S32: According to the preset index value of the axial force of the small box girder, the measured value of the maintenance decision index of the axial force of the small box girder is graded and evaluated, and the axial force state evaluation result of the small box girder is obtained, and the maintenance decision based on the axial force of the small box girder is output according to the axial force state evaluation result of the small box girder; S33: According to the preset index value of the temperature and humidity time ratio of the representative enclosed area of ​​the rigid hinge, the measured value of the maintenance decision index of the temperature and humidity time ratio of the representative enclosed area of ​​the rigid hinge is graded and evaluated, and the performance evaluation result of the rigid hinge dehumidification and cooling system is obtained; and according to the performance evaluation result of the rigid hinge dehumidification and cooling system, the maintenance decision based on the temperature and humidity time ratio is output.

6. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 5 is characterized by: The evaluation result of the sliding bearing state in step S31 is obtained by comprehensively analyzing and evaluating the bearing state based on the cumulative displacement analysis result and the displacement-temperature correlation analysis result, and in combination with information such as grease loss and replenishment, dust deposition and removal records, ambient temperature and humidity conditions, and bearing emptying inspection results; Step S31 includes: When the dynamic and static cumulative displacement of the sliding bearing is less than 4km, it is in the green state and the bearing is in the normal working range; When 4km<sliding bearing dynamic and static cumulative displacement<5km, it enters the yellow warning state and needs to increase the inspection frequency; When the dynamic and static cumulative displacement of the sliding bearing is greater than 5km, it enters the red warning state. When the dynamic and static cumulative displacement of the sliding bearing exceeds the design maximum limit, the bearing friction pair may be damaged at any time, and the bearing friction pair needs to be replaced as soon as possible; Step S31 also includes: Define confidence intervals for sliding bearing displacements and temperatures; Using the displacement and temperature data of the sliding bearing in a normal state for one year as basic sample data, fitting the sliding bearing displacement-temperature correlation curve, and determining the normal area of ​​the scatter plot corresponding to the confidence interval; The confidence interval parameter statistics are fitted with probability P and used as the status threshold for the assessment of the year; P is 95%~99%; If the scatter plot of sliding bearing displacement-temperature exceeds the confidence interval P, a yellow warning is issued, silicone grease is added, and the regular inspection frequency is increased to once a quarter, and the condition assessment frequency is increased to once a half year; If the scatter plot of sliding bearing displacement-temperature frequently exceeds the confidence interval P, and the cumulative duration of the yellow warning exceeds 5 days, re-evaluate every other month after adding silicone grease. If the correlation has not been restored, replace the bearing friction pair.

7. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 5 is characterized by: Step S32 includes: The axial force index of small box beam is divided into four levels: green state, blue state, yellow warning and red state; When the axial force change does not exceed 30%, it is in green state, indicating that the axial force of the small box girder is normal and the small box girder is in the normal working range; When the axial force changes by more than 30%, it enters the blue warning state, requiring enhanced on-site inspection, cause analysis, or algorithm optimization; When the axial force of the small box girder increases to 15-25 tons, it enters the yellow warning state, and the inspection, evaluation, dust removal and lubrication frequency of the sliding bearing need to be increased; When the axial force of the small box girder increases to 25-30 tons, it enters the red warning state and needs to start preparations for bearing replacement; When the axial force of the small box girder exceeds the design maximum limit of 30 to 35 tons, it is determined that the bearing friction pair is damaged. After on-site confirmation and combined with the analysis results of the bearing correlation and cumulative displacement related monitoring data, the bearing maintenance and replacement work shall be carried out as soon as possible.

8. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 5 is characterized by: Step S33 also includes: Select a representative closed area with rigid hinges, and obtain monitoring data of a temperature and humidity meter in the representative closed area for a whole year; Compare and analyze the internal and external humidity data of rigid hinges during the rainy season and typhoon season; Analyze the humidity time ratio of rigid hinges in the whole year and each season, and count the time ratio of humidity > 60% and > 65%; Count the time proportion when the temperature difference between the inside and outside of the rigid hinge is greater than 5°C; If the following conditions are met: in the analysis diagram of the time proportion of humidity inside the rigid hinge throughout the year and in each quarter, the time proportion of humidity less than 60% is higher than the time proportion of humidity 85%, and the time proportion of humidity less than 65% is higher than the time proportion of humidity 95%; Condition 2: the time proportion of the temperature difference between the inside and outside of the rigid hinge in the third quarter greater than 5°C does not exceed 10%; then the rigid hinge is judged to be in normal working condition; If the above two conditions are not met, then a comprehensive judgment will be made based on the regular inspection data and periodic inspection results to decide whether to carry out maintenance and treatment of the relevant components.

9. A steel box girder rigid hinge maintenance decision system based on intelligent monitoring, characterized in that: The method for implementing the steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring as described in any one of claims 1 to 8 comprises: The first main module is used to determine the key stress-bearing structure of the rigid hinge of the steel box girder and the maintenance decision index corresponding to each key stress-bearing structure of the rigid hinge of the steel box girder; The second main module is used to monitor and obtain the measured values ​​of each maintenance decision indicator through the rigid hinge intelligent data acquisition unit and transmit them to the data processing and analysis module; The third main module is used to perform graded evaluation on the measured values ​​of each maintenance decision index according to the preset index values ​​of the key stress-bearing structures of the rigid hinges of each steel box girder, to obtain the status evaluation results of the key stress-bearing structures of the rigid hinges of each steel box girder and transmit them to the maintenance decision module; the maintenance decision module outputs the corresponding maintenance decision according to the evaluation results.

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