Method and device for detecting repairing performance of self-repairing material of large-span steel bridge deck

Abstract

The invention relates to the technical field of building material detection, in particular to a large-span steel bridge deck self-repairing material repairing performance detection method and device. A sensor unit is used for being installed on a bridge deck to collect bridge deck state data; the data cleaning unit is used for removing noise and abnormal values of the bridge floor state data; the model generation unit is used for fitting a polynomial regression model based on the bridge floor state data; the restoration degree prediction unit is used for predicting gap size data of different restoration time periods based on a polynomial regression model; the abnormity judgment unit is used for comparing the predicted gap size data with the actual gap size data, and giving an alarm when the actual gap size data deviates from the predicted gap size data and exceeds a preset value; and the output device is used for displaying the analysis result. Therefore, the performance of the repair material on the pavement can be conveniently detected, and the performance of the repair material can be better evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of building material detection, and in particular to a method and device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck. Background Art

[0002] Self-healing materials for long-span steel bridge decks are innovative engineering materials designed to automatically repair minor damage caused by fatigue, environmental erosion, or external forces through internal mechanisms, thereby extending the service life of bridges and reducing maintenance costs. These materials typically contain microcapsules or other carriers containing a repair agent that is released to fill cracks when damage occurs. These materials, combined with catalysts or specific conditions (such as humidity and temperature), trigger chemical reactions to achieve self-healing.

[0003] Existing self-healing bridge deck materials are primarily tested and evaluated in laboratory settings. While this approach provides precisely controlled conditions for studying the material's fundamental properties and repair mechanisms, the testing conditions are often carefully designed to simulate idealized operating conditions, ignoring the complexities that can arise in real-world applications. For example, real bridge decks are subject to multiple factors, including climate change, UV radiation, chemical corrosion, and traffic loads. These factors can significantly impact the effectiveness of the self-healing material, reducing the validity of the test data. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and device for detecting the repair performance of self-repair materials on the bridge deck of a large-span steel bridge, so as to facilitate the detection of the performance of the repair materials on the road surface and thus better evaluate the performance of the repair materials.

[0005] To achieve the above-mentioned objectives, in a first aspect, the present invention provides a device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck, comprising a plurality of sensor units, a data cleaning unit, a model generation unit, a repair degree prediction unit, an abnormality judgment unit, and an output device;

[0006] The sensor unit is used to be installed on the bridge deck to collect bridge deck status data;

[0007] The data cleaning unit is used to remove noise and abnormal values from the bridge deck status data;

[0008] The model generation unit is used to fit a polynomial regression model based on the bridge deck state data;

[0009] The repair degree prediction unit is used to predict the gap size data of different repair time periods based on a polynomial regression model;

[0010] The abnormality judgment unit is used to compare the predicted gap size data with the actual gap size data, and to issue an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value;

[0011] The output device is used to display the analysis results.

[0012] Among them, the sensor unit includes a support component, a detection component and a protection component. The support component includes a base, a support shell and an installer. The support shell is fixedly connected to the base and is located above the base; the detection component includes a data acquirer, a data processing unit, and a data transmission unit; the data acquirer is used to obtain the bridge deck status data of the bridge deck; the data processing unit is used to pre-process the bridge deck status data to obtain processed data, and the data transmission unit is used to transmit the processed data to the host computer.

[0013] In which, the installer includes a guide column, a sliding rod, a limit block, a limit spring and multiple friction blocks, the guide column is fixed to the bottom of the base, the sliding rod is slidably arranged in the guide column, the guide column is provided with multiple through holes, multiple friction blocks are arranged in the multiple through holes, the sliding rod has a wedge-shaped surface for pushing the multiple friction blocks out of the through holes, the limit block is slidably arranged on the guide column, the limit spring is arranged between the limit block and the guide column, and the sliding rod has a limit groove matching the limit block.

[0014] In which, the installer also includes a connecting wire, a rotating ring, a second spring and a top plate. The rotating ring is slidably arranged on one side of the guide column, one end of the connecting wire is connected to the rotating ring, and the other end of the connecting wire is connected to the limit block. The top plate is slidably arranged on the top of the rotating ring, and the second spring is arranged between the rotating ring and the top plate.

[0015] In which, the data acquirer includes a control cylinder, a detection plate, an ultrasonic sensor, a sealing ring and a liquid discharger. The control cylinder is fixed in the support shell, the detection plate is arranged on the output end of the control cylinder, the ultrasonic sensor is arranged on the detection plate, the sealing ring is arranged on the detection plate and encloses the ultrasonic sensor, and the liquid discharger is arranged on one side of the detection plate for supplying coupling liquid to the sealing ring.

[0016] Wherein, the sealing ring includes a support ring and a flexible ring, and the flexible ring is arranged at the bottom of the support ring.

[0017] Wherein, the liquid discharger includes a storage box, a driving pump, a connecting pipe and a liquid level detector, the connecting pipe is connected to the support ring, the driving pump is connected to the connecting pipe, the storage box is connected to the driving pump, and the liquid level detector is arranged on the support ring.

[0018] In a second aspect, the present invention further provides a method for detecting the repair performance of a self-repairing material for a long-span steel bridge deck, comprising: installing a sensor unit on the bridge deck to collect bridge deck status data;

[0019] Remove noise and outliers from bridge deck status data;

[0020] Fitting a polynomial regression model based on the bridge deck state data;

[0021] Predict gap size data at different repair time periods based on a polynomial regression model;

[0022] Compare the predicted gap size data with the actual gap size data, and issue an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value;

[0023] Present the analysis results.

[0024] The present invention describes a method and device for testing the repair performance of self-repairing materials for long-span steel bridge decks. Multiple sensor units are installed on the bridge deck to collect real-time data on the bridge deck's condition. Through continuous monitoring, the sensors capture various information about the bridge deck's health, including but not limited to crack development and material aging, laying the foundation for subsequent data processing. A data cleaning unit removes noise and outliers from the data to ensure the accuracy of subsequent analysis. It employs advanced algorithms and techniques to identify and eliminate interfering factors that may affect the reliability of the analysis results, thereby ensuring data purity. A model generation unit constructs a polynomial regression model based on the cleaned bridge deck condition data. This process learns and analyzes a large amount of historical data to accurately simulate the trends of bridge deck material changes over time. The application of the polynomial regression model enables the system to more accurately understand the material's aging patterns and self-repair capabilities. Based on this, the repair degree prediction unit uses the established polynomial regression model to predict the crack size after different repair stages. This prediction not only helps evaluate the effectiveness of the self-repairing material currently in use but also provides a scientific basis for future maintenance plans. To ensure the system's early warning function, the anomaly detection unit compares the actual measured gap size data with the predicted value. If the deviation between the actual and predicted values exceeds the preset safety range, the system immediately issues an alarm, alerting maintenance personnel to potential problems. All analysis results are displayed to the user via an output device. This includes not only a detailed inspection report but also intuitive charts and trend analysis, allowing users to quickly understand the repair status of bridge repair materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 It is a structural diagram of a device for detecting the repair performance of a self-repairing material for a large-span steel bridge deck according to the present invention.

[0027] Figure 2 It is a structural diagram of the sensor unit of the present invention.

[0028] Figure 3 It is a right side structural diagram of the sensor unit of the present invention.

[0029] Figure 4 This is a first cross-sectional structural diagram of the sensor unit of the present invention.

[0030] Figure 5 This is a second cross-sectional structural diagram of the sensor unit of the present invention.

[0031] Figure 6 This is a third cross-sectional structural diagram of the sensor unit of the present invention.

[0032] Figure 7 It is a cross-sectional structural diagram of the sensor unit of the present invention along the connection line.

[0033] Figure 8 It is a structural diagram of the detection unit of the present invention.

[0034] Figure 9 This is a flow chart of a method for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to the present invention.

[0035] Sensor unit 101, data cleaning unit 102, model generation unit 103, repair degree prediction unit 105, abnormality judgment unit 106, output device 107, base 111, support shell 112, installer 113, data acquirer 114, data processing unit 115, data transmission unit 116, guide column 117, sliding rod 118, limit block 119, limit spring 120, friction block 121, through hole 122, connecting line 123, rotating ring 124, second spring 125, top plate 126, control cylinder 127, detection plate 128, ultrasonic sensor 129, sealing ring 130, liquid outlet 131, support ring 132, flexible ring 133, storage box 134, drive pump 135, connecting pipe 136, liquid level detector 137, return spring 138, temperature detection unit 139, heat dissipation unit 140, control unit 141. DETAILED DESCRIPTION

[0036] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0037] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or location relationships, are based on the positions or location relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0038] First embodiment

[0039] See also Figures 1 to 8The present invention provides a device for detecting the repair performance of self-repairing materials for bridge decks of large-span steel bridges, comprising a plurality of sensor units 101, a data cleaning unit 102, a model generating unit 103, a repair degree prediction unit 105, an abnormality judging unit 106 and an output device 107; the sensor unit 101 is used to be installed on the bridge deck to collect bridge deck status data; the data cleaning unit 102 is used to remove noise and abnormal values from the bridge deck status data; the model generating unit 103 is used to fit a polynomial regression model based on the bridge deck status data; the repair degree prediction unit 105 is used to predict gap size data of different repair time periods based on the polynomial regression model; the abnormality judging unit 106 is used to compare the predicted gap size data with the actual gap size data, and to issue an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value; the output device 107 is used to display the analysis results.

[0040] In this embodiment, multiple sensor units 101 are installed on the bridge deck to collect real-time data on the bridge deck's condition. Through continuous monitoring, the sensors can capture various information about the bridge deck's health, including but not limited to crack development and material degradation, laying the foundation for subsequent data processing.

[0041] The data cleaning unit 102 removes noise and outliers from the data to ensure the accuracy of subsequent analysis. It uses advanced algorithms and technologies to identify and eliminate interfering factors that may affect the reliability of the analysis results, thereby ensuring the purity of the data.

[0042] Model generation unit 103 constructs a polynomial regression model based on the cleaned bridge deck condition data. This process learns and analyzes a large amount of historical data to accurately simulate the temporal changes in bridge deck materials. The application of the polynomial regression model enables the system to more accurately understand the material's aging patterns and self-repair capabilities.

[0043] On this basis, the repair degree prediction unit 105 uses the above-established polynomial regression model to predict the gap size after different repair stages. This prediction not only helps to evaluate the effectiveness of the self-healing material currently in use, but also provides a scientific basis for future repair plans.

[0044] To ensure the system's early warning function, the abnormality judgment unit 106 compares the actual measured gap size data with the predicted value. Once the deviation between the actual value and the predicted value exceeds the preset safety range, the system will immediately issue an alarm to alert maintenance personnel to potential problems.

[0045] All analysis results are displayed to the user via the output device 107. This includes not only a detailed inspection report, but also intuitive charts and trend analysis, allowing the user to quickly understand the repair status of the bridge repair material.

[0046] The sensor unit 101 includes a supporting component, a detection component and a protective component. The supporting component includes a base 111, a supporting shell 112 and an installer 113. The supporting shell 112 is fixedly connected to the base 111 and is located above the base 111; the detection component includes a data acquirer 114, a data processing unit 115, and a data transmission unit 116; the data acquirer 114 is used to acquire bridge deck status data of the bridge deck; the data processing unit 115 is used to pre-process the bridge deck status data to obtain processed data, and the data transmission unit 116 is used to transmit the processed data to the host computer.

[0047] Base 111 serves as the foundation for the entire sensor unit 101, providing a stable mounting platform capable of withstanding various loads imposed by the external environment and ensuring the stable fixation of sensor unit 101 on the bridge deck. Support shell 112 is tightly connected to and positioned above base 111, forming a protective cover that not only provides physical protection for the internal electronic components but also effectively prevents external factors such as moisture and dust from affecting the internal components. Installer 113 is designed to simplify the installation process of sensor unit 101, allowing workers to easily secure it to the designated location on the bridge deck while ensuring accurate and stable installation.

[0048] As a front-end device, the data acquisition unit 114 uses highly sensitive sensors to capture various bridge deck status information in real time, such as crack expansion and surface roughness changes. This raw data is crucial for subsequent analysis. The data processing unit 115 receives information from the data acquisition unit 114 and preprocesses it, such as removing noise and correcting for errors, to ensure data quality and accuracy, thereby generating processed data for further analysis. Finally, the data transmission unit 116 is responsible for efficiently and reliably transmitting this preprocessed data to the host computer for more in-depth data analysis and decision-making.

[0049] The purpose of the protective component is to further enhance the durability and service life of the sensor unit 101. It usually includes waterproof and dustproof materials and corrosion-resistant coatings, etc., which can effectively resist erosion in harsh environmental conditions and ensure that the sensor can maintain high performance over a long period of time.

[0050] The installer 113 includes a guide column 117, a sliding rod 118, a limit block 119, a limit spring 120 and multiple friction blocks 121. The guide column 117 is fixed to the bottom of the base 111, and the sliding rod 118 is slidably set in the guide column 117. The guide column 117 is provided with multiple through holes 122. Multiple friction blocks 121 are set in multiple through holes 122. The sliding rod 118 has a wedge surface for pushing the multiple friction blocks 121 out of the through holes 122. The limit block 119 is slidably set on the guide column 117. The limit spring 120 is set between the limit block 119 and the guide column 117. The sliding rod 118 has a limit groove matching the limit block 119.

[0051] Guide post 117 is securely fastened to the underside of base 111. During installation, a mounting hole slightly larger in diameter than guide post 117 is drilled into the bridge deck, and guide post 117 is placed inside. Guide post 117 is hollow, allowing sliding rod 118 to slide freely within it. Guide post 117 is provided with multiple through-holes 122 distributed along its length, providing space for the friction blocks 121.

[0052] As sliding rod 118 moves downward, the wedge-shaped surface gradually pushes friction blocks 121 positioned within through-holes 122, causing them to fit snugly against the bridge deck surface. This increases the friction between mount 113 and the bridge deck, ensuring that sensor unit 101 is securely positioned. Furthermore, sliding rod 118 is provided with a retaining groove that mates with retaining blocks 119, working together to control the position of sliding rod 118.

[0053] The limit block 119 can slide freely on the guide post 117 and cooperate with the limit slot on the sliding rod 118 to lock the position of the sliding rod 118. A limit spring 120 is provided between the limit block 119 and the guide post 117. This not only allows the limit block 119 to be flexibly adjusted as needed, but also ensures that it remains stable in the absence of external forces.

[0054] Multiple friction blocks 121 are distributed within through-holes 122 of guide posts 117. These are key components that directly contact the bridge deck and generate friction. Pushed by the wedge-shaped surface of sliding rods 118, friction blocks 121 are effectively extended from through-holes 122, clinging to the bridge deck surface for a secure installation.

[0055] The installer 113 also includes a connecting wire 123, a rotating ring 124, a second spring 125 and a top plate 126. The rotating ring 124 is slidably set on one side of the guide column 117. One end of the connecting wire 123 is connected to the rotating ring 124, and the other end of the connecting wire 123 is connected to the limit block 119. The top plate 126 is slidably set on the top of the rotating ring 124, and the second spring 125 is set between the rotating ring 124 and the top plate 126.

[0056] After the inspection is completed, in order to facilitate disassembly, the present application is provided with the rotating ring 124, so that rotating the rotating ring 124 can drive the connecting line 123 to move, thereby driving the limit block 119 to disengage from the limit groove. At the same time, the upward spring force applied to the sliding rod 118 by the top plate 126 can push the sliding rod 118 out after the limit block 119 is disengaged, thereby making disassembly more convenient.

[0057] The data acquirer 114 includes a control cylinder 127, a detection plate 128, an ultrasonic sensor 129, a sealing ring 130 and a liquid discharger 131. The control cylinder 127 is fixed in the support shell 112, the detection plate 128 is arranged on the output end of the control cylinder 127, the ultrasonic sensor 129 is arranged on the detection plate 128, the sealing ring 130 is arranged on the detection plate 128 and encloses the ultrasonic sensor 129, and the liquid discharger 131 is arranged on one side of the detection plate 128 for supplying coupling liquid to the sealing ring 130.

[0058] The detection plate 128 is directly mounted on the output end of the control cylinder 127. As the control cylinder 127 moves, the detection plate 128 can move within a certain range to facilitate inspection of different areas of the bridge deck.

[0059] Ultrasonic sensors 129 are installed on detection board 128, a key device for collecting bridge deck status data. Ultrasonic sensors 129 emit and receive ultrasonic waves to detect structural changes within the bridge deck material, such as cracks and voids, thereby assessing the overall health of the bridge deck. Their high sensitivity and accuracy make them ideal for monitoring bridge health. Temperature and humidity sensors can also be installed to further enhance parameter monitoring.

[0060] To protect ultrasonic sensor 129 and improve detection accuracy, a sealing ring 130 is provided on detection plate 128, tightly enclosing ultrasonic sensor 129. Sealing ring 130 prevents external impurities (such as dust and moisture) from entering the sensor's operating area, potentially affecting its performance. Furthermore, sealing ring 130 helps maintain a stable coupling environment, which is crucial for effective ultrasonic transmission.

[0061] Liquid dispenser 131, located on one side of detection plate 128, supplies coupling fluid to sealing ring 130. Coupling fluid plays a key role in ultrasonic testing, filling the tiny gap between the sensor and the detection surface, significantly reducing signal attenuation and thus improving detection accuracy. The design of liquid dispenser 131 ensures that the coupling fluid is evenly and stably distributed within the sealing ring 130, ensuring optimal coupling.

[0062] The sealing ring 130 includes a support ring 132 and a flexible ring 133 . The flexible ring 133 is disposed at the bottom of the support ring 132 .

[0063] As the main structural part of the sealing ring 130, the support ring 132 provides the necessary rigidity and stability to ensure that the entire sealing structure can be firmly fixed on the detection plate 128 and form an effective protective barrier around the ultrasonic sensor 129. The support ring 132 is usually made of high-strength material to resist external physical damage and maintain its shape. The flexible ring 133 is set at the bottom of the support ring 132. This design makes the sealing ring 130 not only have good mechanical strength, but also have a certain degree of flexibility. It can fit closely to the different shapes of the bridge surface, thereby providing a more reliable sealing effect. The flexible ring 133 is usually made of chemically resistant and aging-resistant elastic material, which can be used for a long time in harsh environments without losing its sealing performance.

[0064] The liquid discharger 131 includes a storage box 134, a driving pump 135, a connecting pipe 136 and a liquid level detector 137. The connecting pipe 136 is connected to the support ring 132, the driving pump 135 is connected to the connecting pipe 136, the storage box 134 is connected to the driving pump 135, and the liquid level detector 137 is arranged on the support ring.

[0065] Storage tank 134 is used to store coupling fluid. Its capacity is designed based on actual application requirements, ensuring that frequent refills are not required during extended operations. Storage tank 134 is designed to be leak-proof and easy to maintain, making it easy for the user to clean and replace the coupling fluid.

[0066] The drive pump 135 is connected to the connecting pipe 136 and is responsible for delivering the coupling fluid in the storage tank 134 to the sealing ring 130. The selection of the drive pump 135 is crucial. It needs to be highly efficient, low-noise, and capable of precise flow control to ensure that the coupling fluid supply is appropriate, neither too much to cause waste nor too little to affect the detection effect.

[0067] Connecting tube 136 acts as a bridge, with one end connected to drive pump 135 and the other end directly connected to support ring 132, ensuring that the coupling fluid can be smoothly transported from storage tank 134 to the interior of sealing ring 130. Connecting tube 136 should be made of pressure-resistant and corrosion-resistant materials to adapt to different working environments.

[0068] The liquid level detector 137 is mounted on the support ring 132 (or more accurately, the sealing ring 130) to monitor the level of the coupling fluid within the sealing ring 130 in real time. When the level falls below a set value, the liquid level detector 137 sends a signal to remind the operator to replenish the coupling fluid promptly, ensuring that the ultrasonic sensor 129 is always in optimal working condition.

[0069] The detection assembly further includes a return spring 138 , which is disposed between the control cylinder 127 and the detection plate 128 .

[0070] A return spring 138 is introduced into the detection assembly, which is arranged between the control cylinder 127 and the detection plate 128. The main function of the return spring 138 is to help the detection plate 128 quickly return to its initial position after completing a data collection action, so as to prepare for the next operation.

[0071] The support assembly further includes a temperature detection unit 139 , a heat dissipation unit 140 and a control unit 141 . The temperature detection unit 139 is used to detect temperature data inside the support shell 112 . The control unit 141 is used to control the heat dissipation power of the heat dissipation unit 140 based on the temperature data.

[0072] Temperature detection unit 139 monitors the internal temperature of support shell 112. Bridge environments are subject to volatile conditions, and temperature fluctuations can affect the operating state of electronic components. By monitoring internal temperature in real time, potential overheating issues can be detected promptly, allowing appropriate measures to be taken to protect sensitive components within the sensor module.

[0073] The heat dissipation unit 140 adjusts the heat dissipation power according to actual needs to maintain a suitable operating temperature in the support shell 112. The heat dissipation unit 140 may use a fan, heat sink or other efficient heat dissipation technology to ensure that the internal components can maintain good working condition even in a high temperature environment.

[0074] Control unit 141, the core intelligent component of the support assembly, is responsible for regulating the operating mode of cooling unit 140 based on temperature data provided by temperature sensing unit 139. If temperature sensing unit 139 reports that the internal temperature is outside the safe range, control unit 141 automatically adjusts the cooling power of cooling unit 140 to increase cooling intensity. Conversely, if the temperature is within the ideal range, control unit 141 appropriately reduces the cooling power to save energy.

[0075] Second embodiment

[0076] See also Figure 9 The present invention also provides a method for detecting the repair performance of a self-repairing material for a long-span steel bridge deck, comprising:

[0077] S201 sensor unit 101 is installed on the bridge deck to collect bridge deck status data;

[0078] Sensor units 101 are installed at selected locations on the bridge deck. These locations are typically located in areas prone to damage or known to have problems, allowing them to accurately capture changes in the bridge deck's condition. Sensor units 101 monitor and record real-time data on the bridge deck's condition, such as crack size and surface smoothness. This data collection provides the foundation for subsequent analysis.

[0079] S202 removes noise and outliers from the bridge deck status data;

[0080] Collected data often contains noise and outliers, which can interfere with subsequent data processing and model building. Therefore, this step uses specialized data cleaning techniques to remove these interfering factors. This step may involve filtering algorithms, statistical methods, and other means to identify and remove inaccurate data points, thereby ensuring the accuracy and reliability of the remaining data.

[0081] S203 fits a polynomial regression model based on the bridge deck state data;

[0082] After data cleaning, the filtered data was used to fit a polynomial regression model. This process involves selecting an appropriate mathematical model to describe the temporal trends of bridge deck conditions. Polynomial regression models are widely used due to their flexibility. They can adapt to different types of nonlinear relationships and help predict future trends in bridge deck conditions.

[0083] S204 predicts gap size data at different repair time periods based on a polynomial regression model;

[0084] Using the polynomial regression model developed in the previous step, we can predict the size of bridge deck cracks at different time periods in the future. This is crucial for evaluating the effectiveness of self-healing materials. By predicting this at a specific point in the future, we can determine in advance whether further maintenance measures are necessary and when they are most appropriate.

[0085] S205 compares the predicted gap size data with the actual gap size data, and issues an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value;

[0086] The actual bridge deck gap dimensions measured by monitoring are compared with the model's predictions. If a significant discrepancy is detected, and if this discrepancy exceeds a pre-set safety threshold, the system automatically triggers an alert, alerting personnel to potential problems. This approach helps identify and address issues promptly, preventing minor issues from becoming major failures.

[0087] S206 displays the analysis results.

[0088] All analysis results are displayed to the user via output device 107. This includes not only detailed reports but also charts, trend analysis, and other content, allowing users to intuitively understand the health status of the bridge deck and its development trends. Based on this information, decision makers can formulate reasonable maintenance plans to ensure the long-term safe operation of the bridge.

[0089] The above disclosure is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A device for detecting the repair performance of self-repair materials for long-span steel bridge decks, characterized in that: It includes multiple sensor units, a data cleaning unit, a model generation unit, a repair degree prediction unit, an abnormality judgment unit and an output device; The sensor unit is used to be installed on the bridge deck to collect bridge deck status data; The data cleaning unit is used to remove noise and abnormal values from the bridge deck status data; The model generation unit is used to fit a polynomial regression model based on the bridge deck state data; The repair degree prediction unit is used to predict the gap size data of different repair time periods based on a polynomial regression model; The abnormality judgment unit is used to compare the predicted gap size data with the actual gap size data, and to issue an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value; The output device is used to display the analysis results.

2. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 1, characterized in that: The sensor unit includes a supporting component, a detecting component and a protecting component. The supporting component includes a base, a supporting shell and an installer. The supporting shell is fixedly connected to the base and is located above the base. The detecting component includes a data acquirer, a data processing unit and a data transmission unit. The data acquirer is used to acquire the bridge deck status data of the bridge deck. The data processing unit is used to pre-process the bridge deck status data to obtain processed data. The data transmission unit is used to transmit the processed data to the host computer.

3. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 2, characterized in that: The installer includes a guide column, a sliding rod, a limit block, a limit spring and multiple friction blocks. The guide column is fixed to the bottom of the base, the sliding rod is slidably arranged in the guide column, the guide column is provided with multiple through holes, multiple friction blocks are arranged in the multiple through holes, the sliding rod has a wedge surface for pushing the multiple friction blocks out of the through holes, the limit block is slidably arranged on the guide column, the limit spring is arranged between the limit block and the guide column, and the sliding rod has a limit groove matching the limit block.

4. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 3, characterized in that: The installer also includes a connecting wire, a rotating ring, a second spring and a top plate. The rotating ring is slidably arranged on one side of the guide column, one end of the connecting wire is connected to the rotating ring, and the other end of the connecting wire is connected to the limit block. The top plate is slidably arranged on the top of the rotating ring, and the second spring is arranged between the rotating ring and the top plate.

5. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 4, characterized in that: The data acquirer includes a control cylinder, a detection plate, an ultrasonic sensor, a sealing ring and a liquid discharger. The control cylinder is fixed in the support shell, the detection plate is arranged on the output end of the control cylinder, the ultrasonic sensor is arranged on the detection plate, the sealing ring is arranged on the detection plate and encloses the ultrasonic sensor, and the liquid discharger is arranged on one side of the detection plate for supplying coupling liquid to the sealing ring.

6. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 5, characterized in that: The sealing ring includes a supporting ring and a flexible ring, and the flexible ring is arranged at the bottom of the supporting ring.

7. The device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to claim 6, characterized in that: The liquid discharger includes a storage box, a driving pump, a connecting pipe and a liquid level detector. The connecting pipe is connected to the support ring, the driving pump is connected to the connecting pipe, the storage box is connected to the driving pump, and the liquid level detector is arranged on the support ring.

8. A method for detecting the repair performance of a self-repairing material for a long-span steel bridge deck, comprising: a device for detecting the repair performance of a self-repairing material for a long-span steel bridge deck according to any one of claims 1 to 7; It is characterized by: It includes: installing a sensor unit on the bridge deck to collect bridge deck status data; Remove noise and outliers from bridge deck status data; Fitting a polynomial regression model based on the bridge deck state data; Predict gap size data at different repair time periods based on a polynomial regression model; Compare the predicted gap size data with the actual gap size data, and issue an alarm when the actual gap size data deviates from the predicted gap size data by more than a preset value; Present the analysis results.

Images