Steel box girder rigid hinge maintenance decision-making method and system based on intelligent monitoring

Abstract

The invention discloses a steel box girder rigid hinge maintenance decision-making method and system based on intelligent monitoring. The method comprises the steps that steel box girder rigid hinge key stress structures and maintenance decision-making indexes corresponding to the key stress structures are determined; obtaining an actual measurement value of each maintenance decision index; according to preset index values of the key stress structures of the rigid hinges of the steel box girders, performing graded evaluation on the measured values of the maintenance decision indexes to obtain state evaluation results of the key stress structures of the rigid hinges of the steel box girders; outputting a targeted maintenance decision according to an evaluation result; according to the method, multiple indexes concerned by rigid hinge maintenance are integrated, by means of the intelligent monitoring technology, the calculation accuracy of the accumulated displacement amount of the sliding support is ensured, and the axial force state of the small box girder is obtained through axial force monitoring of representative bolts at the fixed end of the small box girder; scientific evaluation of a dehumidification and cooling system is achieved based on environment temperature and humidity monitoring of all closed areas of the rigid hinge, and then intelligent maintenance of the steel box girder rigid hinge is achieved in an assisting mode.

Description

Technical Field

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

[0002] The multi-tower steel box girder cable-stayed bridge has a prominent problem of temperature deformation due to its long main beam. In order to scientifically and rationally solve the problem of temperature deformation of the long main beam, it is an innovative solution to install a rigid hinge device at the mid-span of the main beam of the whole bridge. As a large-scale mechanical structure, the rigid hinge is much more complex than the ordinary steel box girder structure. Its key components and auxiliary components are of various types and large in number, 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 then affect the safety, applicability and durability of the entire bridge. There are no standards or precedents to follow for the maintenance method of the rigid hinge, an innovative key force-bearing structure, at home and abroad, and it is difficult to manage and maintain. The main manifestation is that it is impossible to quantify the operating status of the rigid hinge and it is impossible 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 study 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 IoT sensors and software information technology, bridge health monitoring systems have become the main support for conventional large-scale bridge structure maintenance decisions. Sensors installed on various bridge components collect environmental effects and structural response data to monitor and evaluate bridge operation conditions. When the indicators exceed the threshold, the system sends an alarm signal, providing a basis and guidance for bridge maintenance and management decisions.

[0004] Unlike the situation where the bridge monitoring system and structure assessment have the "Code" to rely on, the monitoring and assessment methods of rigid hinges have no standards or precedents to follow. Conventional bridge monitoring indicators, sensor technology and system algorithm functions are not applicable to rigid hinge devices for steel box girders. The following shortcomings are summarized: (1) Bridge maintenance decision-making applications based on health monitoring generally judge threshold over-limit and provide maintenance decision guidance for a single monitoring indicator. Multi-indicator status analysis is generally completed by engineers offline, with low intelligence and timeliness levels. (2) The sampling frequency and sampling accuracy of the commonly used bridge bearing displacement monitoring methods cannot simultaneously meet the large range, high precision and high frequency response requirements of rigid hinge structures, and a new monitoring technology is needed; (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. (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

[0005] 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.

[0006] 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: 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 the maintenance decision indicators according to the preset index values ​​of the key force-bearing structures of the rigid hinges of the steel box girders, obtains the state evaluation results of the key force-bearing structures of the rigid hinges of the steel box girders, and transmits them to the maintenance decision module; the maintenance decision module outputs the corresponding maintenance decision according to the evaluation results; The rigid hinge intelligent data acquisition system includes a rigid hinge intelligent data acquisition unit, a data processing and analysis module, an early warning module for identifying abnormal conditions 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 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; 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; the dehumidification and cooling and sealing system temperature and humidity ratio acquisition module includes a number of temperature and humidity meters for monitoring the humidity and temperature of various areas inside the rigid hinge.

[0007] Furthermore, 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.

[0008] Furthermore, 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.

[0009] Furthermore, in step S2, the measured value of the maintenance decision index of the key force-bearing structure of the rigid hinge of the steel box girder is 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.

[0010] Furthermore, 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.

[0011] Furthermore, 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.

[0012] 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 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.

[0013] Further, 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.

[0014] Furthermore, 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.

[0015] A second aspect of the present invention provides a steel box girder rigid hinge maintenance decision system based on intelligent monitoring, which is used to implement the steel box girder rigid hinge maintenance decision method based on intelligent monitoring, comprising: 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.

[0016] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art: (1) The steel box girder rigid hinge maintenance decision-making method based on intelligent monitoring of the present invention can realize scientific and comprehensive intelligent maintenance decision-making; it integrates multiple indicators of rigid hinge maintenance, and with the help of intelligent monitoring technology, realizes automatic rigid hinge structure status perception through algorithms and automatically pushes scientific, reasonable and actionable maintenance decision suggestions. It does not require engineers to conduct offline analysis, greatly reduces the manual input of maintenance decisions, and has high timeliness, truly realizing the intelligent management and maintenance of rigid hinges.

[0017] (2) The steel box girder rigid hinge maintenance decision method and system based on intelligent monitoring of the present invention can realize high-precision monitoring and calculation of cumulative displacement. It adopts a combination of a pull-wire displacement meter and a millimeter-wave radar to solve the problem that various monitoring equipment 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 scientific nature of bearing maintenance decisions.

[0018] (3) The steel box girder rigid hinge maintenance decision method and system based on intelligent monitoring of the present invention can realize online monitoring of the axial force of the small box girder. 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, which solves the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thereby laying a foundation for maintenance decisions based on the axial force of the small box girder.

[0019] (4) The maintenance decision method and system of the rigid hinge of a steel box girder 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, which provides 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of a flow chart of a steel box girder rigid hinge maintenance decision method based on intelligent monitoring according to an embodiment of the present invention; Figure 2 It is an internal logic diagram of the composition, monitoring, and maintenance decision of the key force-bearing structure of the rigid hinge of a steel box girder in a maintenance decision method of the rigid hinge of a steel box girder based on intelligent monitoring in an embodiment of the present invention; Figure 3 This is a schematic diagram of the displacement of the rigid hinge sliding support in a steel box girder rigid hinge maintenance decision method based on intelligent monitoring according to an embodiment of the present invention, wherein the triangular lines represent large fluctuations, representing the temperature static deformation of the rigid hinge sliding support, and small fluctuations represent the dynamic deformation due to vehicle impact; Figure 4 It is a schematic diagram of the static deformation effect of the rigid hinge sliding support under the influence of temperature in a rigid hinge maintenance decision method for a steel box girder based on intelligent monitoring in an embodiment of the present invention; Figure 5 It is a schematic diagram of the dynamic deformation effect of the rigid hinge sliding support under the influence of vehicle impact in a rigid hinge maintenance decision method for a steel box girder based on intelligent monitoring in an embodiment of the present invention; Figure 6 It is a schematic diagram of obtaining the dynamic and static displacements of the rigid hinge sliding support in a rigid hinge maintenance decision method for a steel box girder based on intelligent monitoring according to an embodiment of the present invention; Figure 7 A schematic diagram of the displacement-temperature correlation and confidence interval of the sliding support in a steel box girder rigid hinge maintenance decision method based on intelligent monitoring according to an embodiment of the present invention; Figure 8 A schematic diagram of a bolt group at the fixed end of a rigid hinged small box beam in a steel box beam rigid hinge maintenance decision method based on intelligent monitoring according to an embodiment of the present invention; Fig. 9 It is a schematic diagram of analyzing the time proportion of humidity inside a rigid hinge in a rigid hinge maintenance decision method for a steel box girder based on intelligent monitoring according to an embodiment of the present invention; Fig.10 It is a structural schematic diagram of a steel box girder rigid hinge maintenance decision system based on intelligent monitoring according to an embodiment of the present invention; Fig.11 The figure is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended 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.

[0022] In order to solve the problems mentioned in the background technology, it is necessary to form an intelligent monitoring and decision-making system suitable for the maintenance needs 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 the rigid hinges of steel box girders during operation. This method should have high operability and can generate greater economic benefits. However, to realize the above system functions, many technical problems need to be solved, mainly the following points: (1) Determine reasonable reference indicators for maintenance decisions. Rigid hinges are composed of many components, and the operating rules and stress characteristics of each component are different. How to determine reasonable reference indicators for maintenance decisions and determine specific monitoring target parameters based on these indicators is the first technical difficulty in constructing a maintenance decision strategy; (2) Compared with conventional bridge bearings, rigid hinge bearings produce not only static temperature deformation but also dynamic impact deformation under heavy vehicle loads. Therefore, the actual bearing deformation is a mixture of static temperature deformation and dynamic impact deformation. Accurate monitoring and acquisition of the two types of displacements are essential for the analysis of bearing cumulative displacement and wear life assessment. However, the commonly used pull-rope displacement meter for bearing displacement monitoring can only obtain static deformation below 10 Hz. How to apply a new monitoring technology that can simultaneously obtain dynamic deformation and static deformation is the second technical difficulty in constructing maintenance decision-making strategies. (3) The axial force state of the rigid hinged small box girder cannot be obtained through strain, but only through the axial force state of the end fixing bolts. How to analyze and obtain the axial force state of the small box girder based on representative bolt axial force monitoring is the third technical difficulty in constructing the maintenance decision strategy.

[0023] Based on the above reasons, if Figure 1 and Figure 2 As shown, 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, wherein the rigid hinge intelligent data acquisition system includes a rigid hinge intelligent data acquisition unit, a data processing and analysis module, an early warning module for identifying abnormal conditions and issuing alarms, and a maintenance decision module; The method comprises 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 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, obtains the status evaluation results of the key stress-bearing structures of the rigid hinges of each steel box girder and transmits them to the maintenance decision module; the maintenance decision module outputs the corresponding maintenance decision according to the evaluation results.

[0024] Furthermore, the rigid hinge of the steel box girder in step S1 has many types of components, including sliding supports, small box girders and fixed ends, expansion joints, dehumidification and cooling and sealing systems (dehumidifiers, sealing joints and sealing doors), and dampers; among them, key load-bearing components need to be monitored and maintained, mainly including: sliding supports, small box girders and dehumidification and cooling and sealing systems; the maintenance decision indicators corresponding to the sliding supports are the dynamic and static cumulative displacements of the sliding supports and the sliding support displacement-temperature correlation; the maintenance decision indicators corresponding to the small box girder are the axial forces of the small box girder; the maintenance decision indicators corresponding to the dehumidification and cooling and sealing systems are the proportion of the temperature and humidity exceeding the limit time in each dehumidification and cooling area.

[0025] Furthermore, 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 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; the sliding support dynamic and static cumulative displacement monitoring module includes a pull-rope displacement meter provided on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter-wave radar provided at the end of the small box beam for monitoring the dynamic displacement of the rigid hinge; the sliding support dynamic and static cumulative displacement monitoring module includes a pull-rope displacement meter provided on the sliding support for monitoring the high-precision static displacement of the rigid hinge and a millimeter-wave radar provided at the end of the small box beam for monitoring the dynamic displacement of the rigid hinge; since the rigid hinge sliding support has a large displacement stroke, and there are both static displacement effects caused by temperature and dynamic displacement effects caused by vehicle impact, in order to capture the two effects at the same time, a combination of a pull-rope displacement meter and a millimeter-wave radar is adopted. , respectively capture static and dynamic effects, analyze the cumulative displacement effect separately and then superimpose them, which can greatly improve the accuracy of cumulative displacement calculation and bearing life assessment; among them, the range of the rope displacement meter can reach more than 1000mm, the accuracy can reach 0.1mm, and the frequency is 1-10Hz. This equipment accurately monitors the temperature deformation effect, but cannot capture the micro-deformation effect of vehicle live load; the monitoring data is filtered out by high-frequency filtering to filter out low-precision data micro-fluctuations, and the static displacement effect with higher accuracy can be retained; the accuracy of the millimeter-wave radar is 0.02mm, the range is within 100mm, and the frequency is 50Hz, which can obtain the dynamic displacement effect of vehicle impact within a short time range, while the static displacement monitoring accuracy is poor; 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 retain 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 respectively subjected to high-frequency filtering and low-frequency filtering before cumulative displacement calculation, and the cumulative displacement of the full amount of the rigid hinge bearing can be obtained by superposition.

[0026] Furthermore, the small box girder axial force acquisition module includes a high-strength bolt arranged at the end of the small box girder and an ultrasonic bolt dynamometer for monitoring the axial force of the high-strength bolt; by performing ultrasonic axial force in-situ monitoring of representative high-strength bolts at the fixed end of the small box girder, the average value of the axial force change of the monitored bolts is converted into the change of the total implemented axial force, thereby obtaining the axial force change of the end of the small box girder and the whole.

[0027] 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 of each area inside the rigid hinge; since the environment inside the rigid hinge is relatively harsh, high temperature, high humidity and the like occur from time to time, which affects the working performance of the sliding support friction pair, a rigid hinge cooling and dehumidification system was developed and implemented during the construction period. The heat conductivity of the rigid hinge structure is very high, which has greatly exceeded the scope of air conditioning design, and conventional air conditioners are far from meeting the cooling requirements required by the rigid hinge device. To address this problem, the embodiments of the present invention adopt efficient thermal insulation measures to reduce the comprehensive heat conductivity of the structure, and adopt an unconventional refrigeration method of large air volume forced fresh air convection, in the form of heat exchange cooling to assist refrigeration and cooling, which greatly saves refrigeration energy consumption, reduces refrigeration frequency, and improves the stability of the equipment.

[0028] Furthermore, in step S2, the measured values ​​of each maintenance decision indicator are monitored and obtained by the rigid hinge intelligent data acquisition unit of the rigid hinge intelligent data acquisition system; 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.

[0029] Furthermore, 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. Figure 3 It is a schematic diagram of the displacement of the rigid hinge sliding support; Figure 4 Schematic diagram of the static deformation effect of the rigid hinge sliding support under the influence of temperature; Figure 5 It is a schematic diagram of the dynamic deformation effect of the rigid hinge sliding support under the impact of the vehicle; Figure 6 Schematic diagram of obtaining the dynamic and static displacement of the rigid hinge sliding support; 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, and then the cumulative displacement is calculated, and the cumulative displacement of the full support of the rigid hinge is obtained by superposition; specifically, assuming The monitoring data of the bearing displacement at time (unit: second) is , from the initial state ( ) to the current evaluation state ( ), The data cutoff time for evaluation; the total sliding travel of the support is defined as the cumulative displacement of the full support of the rigid hinge ， Considering the static displacement and dynamic displacement comprehensively, the displacement acquisition frequency is defined as , then the step length of the cumulative displacement calculation is , then the cumulative displacement of the full support of the rigid hinge is The calculation formula is as follows: (1) Furthermore, the step S22 of obtaining the axial force change of the end and the whole of the small box beam through the small box beam axial force acquisition module includes: selecting representative high-strength bolts at the fixed end of the small box beam to perform ultrasonic axial force in-situ monitoring; Based on the average value of the axial force change of the bolts at the end of the small box beam, it 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 axial force status assessment of the small box girder is based on the special inspection results of the high-strength bolts. Therefore, the axial force status calculation and assessment of the small box girder must be carried out after each special inspection and compared with the axial force calculation results of the previous small box girder.

[0030] Further, 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: determining a representative closed 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.

[0031] Furthermore, 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 closed area of ​​the rigid hinge, the measured value of the maintenance decision index of the temperature and humidity time ratio of the representative closed 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 the maintenance decision based on the temperature and humidity time ratio is output according to the performance evaluation result of the rigid hinge dehumidification and cooling system; Furthermore, the evaluation result of the sliding bearing status in step S31 is obtained by conducting a comprehensive analysis and evaluation of the bearing status based on the cumulative displacement analysis results and the displacement-temperature correlation analysis results, combined with information such as grease loss and replenishment, dust deposition and removal records, ambient temperature and humidity conditions, and bearing air gap inspection results.

[0032] Further, step S31 includes: When the dynamic and static cumulative displacement of the sliding bearing is less than 4km, it is in green state, indicating that the bearing sliding stroke is in a small range, the friction pair of the sliding bearing is less worn, 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 the bearing enters the large wear zone. It is necessary to increase the inspection frequency. The regular inspection frequency is increased to once a quarter, and the status assessment frequency is increased to once every six months. When the dynamic and static cumulative displacement of the sliding bearing is >5km, it enters a 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. It is recommended to replace the bearing friction pair as soon as possible.

[0033] Step S31 also includes: Define confidence intervals for the sliding bearing displacements and temperatures; specifically, Figure 7 The schematic diagram of the displacement-temperature correlation analysis and confidence interval of the sliding support. The blue line is the fitting curve, the cyan line is the displacement-temperature scatter part, the red area is the confidence interval range, and the two red dotted lines are the upper and lower limits of the confidence interval. The support is in a normal state, and the support displacement is With ambient temperature It shows a strong linear correlation. Assuming the linear relationship is: , and The linear relationship parameters are obtained by fitting the displacement-temperature scatter plot within a certain time interval. If the upper limit of a scatter distribution interval is specified as a straight line ， The lower limit is , the probability that the displacement-temperature scatter points fall within this range can be defined as the confidence interval P, which can generally be taken as a value between 95% and 99%, which can more reliably identify the abnormal sliding state of the bearing; The displacement and temperature data of the sliding bearing in a normal state for one year are used as the basic sample data to fit the sliding bearing displacement-temperature correlation curve, and determine the normal area of ​​the scatter plot corresponding to the confidence interval; wherein, the normal range of the annual cumulative displacement of the bearing is 80m to 100m; the correlation analysis between displacement and temperature is performed based on the annual dynamic and static cumulative displacement of the sliding bearing and the sliding bearing temperature monitoring data. The displacement and temperature data of the correlation analysis use the data points of the 10-minute average. The correlation coefficient is greater than 0.9, which is a strong correlation state, and it can be judged that the sliding state of the bearing is normal; 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, indicating that the bearing friction state has changed. Silicone grease should be added and the regular inspection frequency should be increased to once a quarter, and the state assessment frequency should be 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 after replenishing silicone grease one month. If the correlation has not recovered, it is recommended to replace the bearing friction pair.

[0034] Furthermore, the axial force status evaluation of the small box beam in step S32 is performed based on the special inspection results of the high-strength bolts. Therefore, the axial force status calculation evaluation of the small box beam is performed after each special inspection and compared with the axial force calculation results of the small box beam in previous times. Step S32 also 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, the bearing friction pair may have been 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 should be carried out as soon as possible; Furthermore, step S33 also includes: Select a representative closed area of ​​the rigid hinge, and obtain the monitoring data of the temperature and humidity meter in the representative closed area for a whole year; specifically, analyze the monitoring data of the temperature and humidity meter in 9 typical characteristic areas for a whole year, including 4 sealing areas of the rigid hinge sliding support, 2 areas in the inspection channel, 1 area outside the box beam, and 2 areas inside the large box beam outside the sealed door; Compare and analyze the internal and external humidity data of rigid hinges during the rainy season and typhoon season (generally May to August); 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; Under normal circumstances, the humidity inside and outside the rigid hinge is clearly distinguished. Excluding the influence of temperature, if there is a strong follow-up rule, it is considered that the rigid sealing is poor. Check whether the entrance and exit doorways, sealed doors, etc. are not closed as required; For steel structures, when the humidity exceeds 40%, slow corrosion begins to occur, and when the humidity exceeds 60%, rapid corrosion occurs; If satisfied, condition 1: the analysis diagram of the internal humidity time ratio of rigid hinges for the whole year and each season (such as Fig. 9 As shown), the proportion of time with humidity less than 60% is higher than the proportion of time with humidity less than 85%, and the proportion of time with humidity less than 65% is higher than the proportion of time with humidity less than 95%; Condition 2: The proportion of time when the temperature difference between the inside and outside of the rigid hinge in the third quarter is greater than 5°C does not exceed 10%; the rigid hinge is judged to be in normal working condition; if the above two conditions are not met, then, combined with regular inspection data and regular inspection results, a comprehensive judgment is made to decide whether to carry out maintenance and treatment of related components, such as: checking the performance of the dehumidifier or the sealing of the structure, and timely carrying out structural sealing maintenance or equipment maintenance and maintenance; specifically including increasing the sealing of the sealing door, repairing and replacing the sealing joint; re-evaluating the treatment effect within 3 months after completing the treatment; under the action of routine maintenance, if the requirements are not met for 2 consecutive years, the dehumidifier should be updated and replaced and the air conditioning filter element should be replaced.

[0035] like Fig.10 As shown, the second aspect of the present invention provides a steel box girder rigid hinge maintenance decision system based on intelligent monitoring, which is used to implement the above-mentioned design method, including 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.

[0036] It should be noted that the steel box girder rigid hinge maintenance decision system based on intelligent monitoring provided in this embodiment can be a computer program (including program code) running in a computer device. For example, the steel box girder rigid hinge maintenance decision system based on intelligent monitoring is an application software; the steel box girder rigid hinge maintenance decision system based on intelligent monitoring can be used to execute the corresponding steps in the above method provided in the embodiment of the present application.

[0037] In some feasible implementations, the steel box girder rigid hinge maintenance decision system based on intelligent monitoring provided in the present embodiment can be implemented by a combination of software and hardware. As an example, the steel box girder rigid hinge maintenance decision system based on intelligent monitoring provided in the present application embodiment 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 method based on intelligent monitoring provided in the present application embodiment. For example, the processor in the form of a hardware decoding processor can adopt one or more application specific integrated circuits (ASIC, Application Specific Integrated Circuit), digital signal processors (digital signal processor, DSP), programmable logic devices (PLD, Programmable Logic Device), complex programmable logic devices (CPLD, Complex Programmable Logic Device), field programmable gate arrays (FPGA, Field-Programmable Gate Array) or other electronic components.

[0038] In some feasible implementations, the steel box girder rigid hinge maintenance decision system based on intelligent monitoring provided in this embodiment can be implemented in software form, which can be software in the form of programs and plug-ins, and includes a series of modules to implement the steel box girder rigid hinge maintenance decision method based on intelligent monitoring provided in the embodiment of the present invention.

[0039] The steel box girder rigid hinge maintenance decision system based on intelligent monitoring provided in this embodiment integrates multiple indicators of rigid hinge maintenance, and with the help of intelligent monitoring technology, realizes automatic rigid hinge structure state perception through algorithms and automatically pushes 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 take into account both static deformation monitoring and dynamic deformation monitoring at the same time; ensures the cumulative displacement of the sliding support The accuracy of quantity calculation is improved; an 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, which solves the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thereby 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 is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, which provides 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, thereby helping to realize the intelligent maintenance of the rigid hinge of the steel box girder.

[0040] The maintenance decision-making method and system based on intelligent monitoring of the present invention are introduced by taking the rigid hinge in the main channel bridge of a certain bridge as an example. The certain bridge is a six-tower, single-column, four-cable-plane steel box girder cable-stayed bridge with a length of 70+200+5×428+200+70=2680m. Because the main beam is long, the problem of temperature deformation is prominent. In order to scientifically and rationally solve the problem of temperature deformation of long main beams, the main channel bridge of a certain bridge adopts an innovative structural system with two main beams and a rigid hinge device at the mid-span of the whole bridge, which is used to release the axial relative displacement of the main beam and constrain other deformations such as bending and torsion, so as to ensure the rationality of the overall force of the structure and the safety of the structure. According to different importance and functional characteristics, the rigid hinge is divided into five major parts: main structure, auxiliary components, durability structural system, replacement traction system and intelligent monitoring system. Among them, the key components of the main structure and the durability structural system need to be monitored and maintained.

[0041] The main structure is the key force-bearing part of the rigid hinge, which involves structural safety. The main structure mainly includes: the fixed end of the small box beam, the small box beam body, the fixed end large box beam, the sliding end large box beam, the special sliding support, and the other non-key force-bearing steel structures. The durable construction system includes three parts: the sealing system, the dehumidification and cooling system, and the anti-corrosion coating system of the steel structure itself.

[0042] Introduction to key monitoring and maintenance components of rigid hinges Based on the above introduction of the rigid hinge components of a bridge, the components that need to be monitored and maintained are: small box beam, special sliding bearing, sealing and dehumidification and cooling system. The introduction of each part is as follows: (1) Small box girder and fixed end structure The rigid hinged small box beam joint adopts the "inner flange" bolt connection structure, that is, an end plate is set at the end of the small box beam, and bolt holes are opened on the end plate to directly connect the end transverse diaphragm of the adjacent J1 beam section with internal bolts; the small box beam and the fixed end joint end plate are fixed with high-strength bolts, and the end plate bolts are arranged as follows: Figure 8 shown.

[0043] (2) Sliding support for rigid hinge The relative sliding between the rigid hinged small box girder and the outer large box girder is achieved by setting a rigid hinged special sliding support; The rigid hinge of the bridge is subjected to complex forces, and the use conditions of its special sliding bearing are relatively harsh. For example, during the operation of the bridge, the friction pair of the rigid hinge bearing is bound to wear during the reciprocating movement and expansion of the small box beam. The silicone grease reduces the friction resistance and increases it, forming a vicious cycle. In addition, dust or foreign matter is adsorbed, which greatly reduces the durability of the rigid hinge bearing. Based on this, special research and development and design were carried out on each component of the rigid hinge during the construction period.

[0044] (3) Sealing and dehumidification and cooling system Due to the harsh environment inside the rigid hinge, high temperature and high humidity often occur, 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 conductivity of the rigid hinge structure is very high, which has greatly exceeded the scope of air conditioning design. Conventional air conditioning is far from meeting the cooling requirements required by the rigid hinge device. In response to this problem, efficient insulation measures were taken to reduce the comprehensive heat conductivity of the structure, and an unconventional cooling method of large air volume forced fresh air convection was adopted. In the form of heat exchange cooling to assist cooling and cooling, the energy consumption of cooling was greatly saved, the cooling frequency was reduced, and the stability of the equipment was improved.

[0045] 1) Cooling function. A composite cooling method is used, that is, the temperature is controlled within the range of atmospheric temperature + 5°C by air cooling (heat exchange cooling), and then the temperature is further cooled to a safe range by compressor refrigeration. The characteristics of this device are extremely low energy consumption, 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, and the maximum processing air volume is 2500m³ / h. The maximum ventilation frequency is 12 times / h, and the equipment operating temperature is <75°C.

[0046] 2) Dehumidification function. The added cooling device is a ventilation design, and the dehumidification equipment is higher than the enclosed space of the same volume. The dehumidification equipment handles an air volume of 270m³ / h, and the humidity control requirement is 60-65%.

[0047] 3) Sealing function. In order to isolate the air inside the rigid hinge from the external atmospheric environment, a special heat-insulating sealing joint is designed and installed around the small box beam at the expansion joint. In addition, to ensure the normal operation of the rigid hinge dehumidification and cooling unit, while considering the power consumption efficiency ratio, operation convenience and safety, the special working area of ​​the rigid hinge should be separated from the ordinary steel box beam. The sealing system mainly includes three parts: insulation door and insulation curtain, sealing joint, and expansion joint sealing plate.

[0048] (4) Intelligent data acquisition unit for rigid hinges The monitoring system is a key information means to understand the structural status in real time. The data collected can be used to evaluate the mechanical status of key components such as rigid hinge supports and fixed end bolts, and guide rigid hinge maintenance decisions. The monitoring items and quantity contents are shown in the following table: Measuring point information table of rigid hinge intelligent data acquisition unit: Serial number Monitoring Project Monitoring equipment quantity Layout location Data Mining Methods 1 Sliding bearing temperature static displacement monitoring Cable displacement meter 48 Deploy one at each support position Calculate static cumulative displacement and displacement-temperature correlation 2 Dynamic displacement monitoring of sliding bearings during vehicle impact Millimeter wave radar 4 Each small box girder end is equipped with a Calculate dynamic cumulative displacement 3 High-strength bolt axial force monitoring Ultrasonic Bolt Dynamometer 32 Eight representative bolts are selected at the end of each small box girder for monitoring. Calculation of axial force changes at the ends of small box beams 4 Environmental temperature and humidity monitoring Thermohumidity meter 9 Representative closed areas for monitoring Calculate the humidity time ratio of each area total 93 (5) Rigid hinge key evaluation method and evaluation decision-making ideas 5.1 Axial force status assessment method and maintenance decision of small box beams 1) Evaluation Method The axial force status assessment of the small box girder is based on the special inspection results of the high-strength bolts. Therefore, the axial force status calculation and assessment of the small box girder must be carried out after each special inspection and compared with the axial force calculation results of the previous small box girder.

[0049] 2) Maintenance decision ① If the increase exceeds 30%, the cause should be analyzed or the algorithm should be optimized; ② If it increases to nearly 20 tons, maintenance personnel should pay attention and increase the inspection and evaluation of the sliding bearings and the frequency of dust removal and lubrication; ③ If it increases to nearly 30 tons, preparations for bearing replacement should be started. When the axial force exceeds 30 tons, timely decisions should be made to replace the bearings after on-site confirmation and combined with the analysis results of bearing correlation and cumulative displacement-related monitoring data.

[0050] 5.2 Sliding bearing condition assessment method and maintenance decision 1) Evaluation Metrics ① Based on the support displacement monitoring data, the annual cumulative displacement of the support is analyzed and counted. The normal range of the annual cumulative displacement of the support is 80m to 100m; ②Based on the annual bearing displacement and structural monitoring data, the correlation analysis between displacement and temperature is carried out. The displacement and temperature data for correlation analysis use the data points of the 10-minute average. A correlation coefficient greater than 0.9 indicates a strong correlation state, which can be judged as normal bearing sliding state; ③ Based on the normal state in the previous year, analyze the confidence interval of the correlation between support displacement and temperature, fit the confidence interval statistical parameters with a confidence level of 97%, and use it as the state threshold for the assessment of the current year; ④ Based on the cumulative displacement analysis results and the displacement-temperature correlation analysis results, combined with information such as grease loss and replenishment, dust deposition and removal records, ambient temperature and humidity conditions, and bearing air gap inspection results, a comprehensive analysis and evaluation of the bearing status is conducted.

[0051] 2) Maintenance decision ①Cumulative displacement <4km, green state, the bearing is in the normal working range; ② If the cumulative displacement is >4km and <5km, it is a yellow warning, and the bearing has entered a large wear zone. The regular inspection frequency is increased to once a quarter, and the condition assessment frequency is increased to once every six months; ③ If the cumulative displacement is >5km, it is a red warning and it is recommended to replace the bearing; ④ If the position of the displacement-temperature scatter point exceeds the 97% confidence interval of the correlation, a yellow warning should be issued, indicating that the friction state of the bearing has changed. Silicone grease should be added and the regular inspection frequency should be increased to quarterly, and the state assessment frequency should be increased to half a year; ⑤ If the displacement-temperature scatter point positions frequently exceed the 97% confidence interval of the correlation, 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 recovered, it is recommended to replace the bearing friction pair.

[0052] 5.3 Dehumidification and Cooling System Performance Evaluation Method and Maintenance Decision 1) Evaluation Method ① Analyze the monitoring data of temperature and humidity meters in 9 typical characteristic areas for a whole year, including 4 sealing areas of rigid hinge sliding supports, 2 areas in inspection channels, 1 area outside the box girder, and 2 areas inside the large box girder outside the sealed door.

[0053] ② Compare and analyze the internal and external humidity data of rigid hinges during the rainy season and typhoon season (generally from May to August); ③Analyze the time ratio of humidity inside rigid hinges in the whole year and each season; ④ Count the time proportions when humidity is greater than 60% and greater than 65%; ⑤ Count the percentage of time when the temperature difference between the inside and outside of the rigid hinge is greater than 5°C.

[0054] 2) Maintenance decision ① The humidity inside and outside the rigid hinge should be clearly distinguished. Excluding the influence of temperature, if there is a strong follow-up rule, it is considered that the rigid sealing is poor. Check whether the entrance and exit doorways, sealed doors, etc. are not closed as required; ② For the annual humidity time ratio analysis results, the time ratio of humidity less than 60% should be higher than 85%, and the time ratio of humidity less than 65% should be higher than 95%; ③ From June to September (third quarter), the time when the temperature difference between the inside and outside of the rigid hinge is greater than 5°C should not exceed 10%; ④ If the above requirements are not met, combine the regular inspection data and periodic inspection results, and make a comprehensive judgment to decide whether to carry out maintenance and treatment of related components. For example: increase the sealing of sealing doors, repair and replace sealing joints, replace and repair dehumidification equipment, replace air conditioning filters, and re-evaluate the treatment effect within 3 months after completion of the treatment.

[0055] A third aspect of the present invention further provides an electronic device, Fig.11 Schematic diagram of the structure of the electronic device of this embodiment. Fig.11 As 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 also 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), a keyboard (Keyboard), and the user interface 1003 may optionally 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 it may be a non-volatile memory (non-volatile memory), such as at least one disk storage. The memory 1005 may optionally also be at least one storage device located away from the aforementioned processor 1001. As Fig.11 As 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.

[0056] like Fig.11 In the electronic device 1000 shown, the network interface 1004 can provide a network communication function; the user interface 1003 is mainly used to provide an input interface for the user; and the processor 1001 can be used to call the device control application stored in the memory 1005 to achieve: 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; The measured values ​​of various maintenance decision indicators of the key force-bearing structures of the rigid hinges of the steel box beams are monitored and obtained through the intelligent data acquisition unit of the rigid hinges; According to the preset index values ​​of the key stress-bearing structures of the rigid hinges of each steel box girder, the measured values ​​of each maintenance decision index are graded and evaluated to obtain evaluation results. According to the evaluation results, maintenance decisions based on the dynamic and static cumulative displacements of sliding bearings, maintenance decisions based on the displacement-temperature correlation of sliding bearings, maintenance decisions based on the axial force of small box beams, and maintenance decisions based on the proportion of temperature and humidity time are output.

[0057] It should be understood that in some feasible implementations, the processor 1001 may be a central processing unit (CPU), or other general-purpose processors, DSPs, ASICs, FPGAs or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0058] In a specific implementation, the electronic device 1000 can execute the above-mentioned functions through its built-in functional modules. Figure 1 For the implementation methods provided in each step, please refer to the implementation methods provided in the above steps for details, which will not be repeated here.

[0059] The electronic device provided in this embodiment integrates multiple indicators of rigid hinge maintenance, and with the help of intelligent monitoring technology, realizes automatic rigid hinge structure state perception through algorithms and automatically pushes scientific, reasonable and operable 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 rope displacement meter and the millimeter wave radar solves the problem that various monitoring equipment cannot take into account both static deformation monitoring and dynamic deformation monitoring at the same time; and ensures the accuracy of the calculation of the cumulative displacement of the sliding support; An ultrasonic bolt dynamometer is used to obtain the axial force state of the small box girder by monitoring the axial force of representative bolts at the fixed end of the small box girder, which solves the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot 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 is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, which provides 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, thereby helping to realize the intelligent maintenance of the rigid hinge of the steel box girder.

[0060] The present application also provides a computer-readable storage medium, which stores a computer program and is executed by a processor to implement Figure 1 For the methods provided in each step, please refer to the implementation methods provided in the above steps for details, which will not be repeated here.

[0061] The computer-readable storage medium provided in this embodiment integrates multiple indicators of rigid hinge maintenance, and with the help of intelligent monitoring technology, realizes automatic rigid hinge structure state perception through algorithms and automatically pushes 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 take into account both static deformation monitoring and dynamic deformation monitoring at the same time; ensures the accuracy of the calculation of the cumulative displacement of the sliding support Accuracy; an 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, which solves the problem that the strain gauge cannot be installed and the axial force of the small box girder cannot be obtained, thereby 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 is evaluated by analyzing the time proportion of temperature and humidity data in different intervals, which provides 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, thereby helping to realize the intelligent maintenance of the rigid hinge of the steel box girder.

[0062] Any reference to memory, storage, database or other media used in the embodiments provided in the present 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. As an 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 (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0063] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles 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, 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; 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; the dehumidification, cooling and sealing system temperature and humidity ratio acquisition module includes a number of temperature and humidity meters for monitoring the humidity and temperature of various areas inside the rigid hinge.

2. According to claim 1, a steel box girder rigid hinge maintenance decision method based on intelligent monitoring is characterized by: 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.

3. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 1 is characterized in that: 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.

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: 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.

5. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 4 is characterized in that: 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.

6. A steel box girder rigid hinge maintenance decision method based on intelligent monitoring according to any one of claims 1 to 5, 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.

7. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 6 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.

8. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 6 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.

9. The method for decision-making on rigid hinge maintenance of steel box beams based on intelligent monitoring according to claim 6 is characterized in that: 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.

10. 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 method based on intelligent monitoring as described in any one of claims 1 to 9 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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