An automatic monitoring system for displacement of curved slope bridge piers

Abstract

The present invention discloses an automatic monitoring system for the displacement of curved slope bridge piers, and relates to the field related to the monitoring of curved slope bridge piers. The present invention adds adaptive calibration technology to the system and utilizes a multivariate regression analysis algorithm, and can automatically adjust the measurement parameters by real-time analysis of the influence of environmental factors such as temperature and humidity on sensor data, significantly improve the accuracy and stability of the data, ensure the robustness and reliability of the system under complex environmental conditions, and thus provide more accurate and reliable monitoring results. The sensor module in the system is installed in an auxiliary monitoring device, and the auxiliary monitoring device is used for auxiliary monitoring. More than four groups of installation frames that can be independently adjusted in angle are built in, and each group of installation frames is provided with an independent sensor guard, and the sensor module can be installed inside the sensor guard to perform centralized and synchronous monitoring of multiple detection surfaces.

Description

Technical Field

[0001] The invention relates to the field related to monitoring of curved slope bridge piers, and in particular to an automatic monitoring system for displacement of curved slope bridge piers. Background Art

[0002] The automatic monitoring system for the displacement of curved and sloped bridge piers is a high-tech device specially designed to monitor the health status of bridge structures. It collects real-time displacement and tilt data of piers when they are affected by external factors (such as traffic load, environmental changes, etc.) through various sensors (such as displacement sensors, inclination sensors, etc.) installed on the piers. The collected data is transmitted to the central monitoring system by wireless or wired means for real-time analysis and processing. The system can issue early warning signals in time when abnormal displacement or tilt occurs in the piers, reminding relevant personnel to carry out maintenance and inspection, thereby effectively preventing damage to the bridge structure and ensuring the safety and service life of the bridge.

[0003] The existing technology has the following problems in actual use: since the sensor is located outdoors and the environmental factors are less certain, the sensor's monitoring accuracy is easily affected by environmental factors, resulting in reduced accuracy; and the sensor monitoring locations are relatively scattered, which makes installation inconvenient and requires continuous manual adjustment, which makes installation inconvenient and affects installation efficiency; and during the sensor monitoring process, the sensor's life is easily affected by high or low temperatures. Summary of the invention

[0004] Therefore, in order to solve the above-mentioned shortcomings, the present invention provides an automatic monitoring system for the displacement of curved slope bridge piers.

[0005] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: an automatic monitoring system for the displacement of curved slope bridge piers, including a sensor system, a data acquisition system, a data processing and analysis system, a communication system, a remote monitoring center and an energy supply system;

[0006] Sensor system: monitors the displacement, inclination, acceleration and environmental conditions of the bridge piers;

[0007] Data acquisition system: responsible for collecting sensor data in real time and applying adaptive calibration technology;

[0008] Central processing system: built-in data processing and analysis system, real-time processing of sensor data, historical data comparison and trend prediction;

[0009] Communication system: transmits processed data to the remote monitoring center through wireless or wired communication, including wireless communication modules and wired communication lines;

[0010] Remote monitoring center: used for real-time monitoring and alarm response, supports remote monitoring and management, and has display screen, alarm system and remote monitoring system;

[0011] Energy power supply system: Provides the power required by the sensor system, data acquisition system, central processing system and communication system, including solar power supply system and cable line power supply system.

[0012] Preferably, the sensor system includes a displacement sensor, an inclination sensor, an acceleration sensor and an environmental adaptability sensor. The four groups of sensors are integrated into a sensor module and installed inside the auxiliary monitoring device. The environmental adaptability sensor monitors environmental conditions such as temperature, humidity and air pressure.

[0013] Preferably, the data acquisition system includes a data acquisition module and an adaptive calibration module. The data acquisition module is responsible for integrating and transmitting the data collected by the sensor in real time to the central processing system. The data acquisition module has a data preprocessing function. The adaptive calibration module dynamically adjusts the measurement parameters according to environmental changes.

[0014] Preferably, the adaptive calibration module implements the following steps:

[0015] S1 data reception: receiving data transmitted from sensors and data acquisition modules;

[0016] S2 Environmental Data Analysis: Environmental data collected by the environmental adaptability sensor is transmitted to the adaptive calibration module, which analyzes the data and identifies the impact of environmental changes such as temperature, humidity and air pressure on sensor readings;

[0017] S3 calibration algorithm: Based on the results of environmental data analysis, the adaptive calibration module uses a specific calibration algorithm to calculate the parameters that need to be adjusted. The calibration algorithm is a multivariate regression analysis algorithm;

[0018] S4 parameter adjustment and feedback: The calculated calibration parameters are transmitted back to each sensor to adjust its measurement parameters, and the adaptive calibration module feeds back the calibrated data to the data acquisition module and sensor system.

[0019] Preferably, the data processing and analysis system includes real-time data processing and historical data comparison and trend prediction. Real-time data processing: the central processing system processes the data transmitted by the sensor in real time, including monitoring of displacement, inclination and acceleration. Historical data comparison and trend prediction: the system compares and analyzes current data with historical data, and makes predictions based on machine learning algorithms to predict future structural change trends.

[0020] Preferably, the remote monitoring center is equipped with a display screen, an alarm system, and a remote monitoring system, which can display the displacement of the piers and the structural health status in real time, set safety thresholds and automatically trigger alarms when exceeded to notify relevant personnel to take measures, monitor the status of the piers around the clock, and support remote access control and real-time data viewing.

[0021] Preferably, the auxiliary monitoring device comprises a mounting frame for protection, the mounting frame being provided with more than four sets of connection adjustment mechanisms for connecting the mounting frame and a sensor guard disposed in the middle of the mounting frame for mounting the protection sensor module;

[0022] The mounting frame includes a frame body with a sensor guard connected to the inside, support pads arranged at the four ends of the upper and lower sides of the frame body, a motor box arranged at the front end of the frame body, a first motor arranged inside the motor box, a reducer connected to the output shaft of the first motor, and a rotating member connected to the output shaft of the reducer, wherein the rotating member is provided with two groups, the front and rear rotating members are connected to the output shaft of the reducer, and the rear rotating member is arranged at the rear end of the frame body, and the inner sides of the two groups of rotating members are connected to the sensor guard;

[0023] A groove is provided at the position where the frame is connected to the connection adjustment mechanism, and the side surfaces of the head and the tail are not connected to the frame of the connection adjustment mechanism, and the side surfaces are not provided with a groove.

[0024] Preferably, the connection and adjustment mechanism includes a support plate arranged on the inner side of two groups of corresponding grooves, a locking rod for connecting the support plate and the groove, a guide gear arranged on the inner side of the support plate, and a side plate hinged to the outer side of the guide gear. The two groups of guide gears on the inner side of the support plate are meshed, and the front and rear positions of the two groups of guide gears are hinged through the side plate.

[0025] Preferably, the sensor guard includes two groups of protection boxes arranged inside the frame, a fixed shell arranged inside the two groups of protection boxes, a sensing plate installed on the top of the fixed shell, a ventilation net arranged at diagonal positions on both sides of the sensing plate, and a support shell arranged inside the protection box for installing the sensor module.

[0026] Preferably, the protective box includes a shell connected to a rotating part on the outside, a cover plate arranged on the outside of the shell corresponding to the ventilation net, a sealing gasket arranged on the inside of the cover plate, a guide groove opened on the outside of the shell, a connecting rod passing through the guide groove and connected to the cover plate, a sliding sleeve connected to the other end of the connecting rod, a threaded rod threadedly connected to the inside of the sliding sleeve, and a second motor installed inside the shell and with the output shaft connected to the threaded rod.

[0027] Beneficial effects of the present invention:

[0028] The present invention adds adaptive calibration technology to the system and utilizes a multivariate regression analysis algorithm. It can automatically adjust measurement parameters through real-time analysis of the impact of environmental factors such as temperature and humidity on sensor data, significantly improve data accuracy and stability, ensure the robustness and reliability of the system under complex environmental conditions, and thus provide more accurate and reliable monitoring results.

[0029] The present invention installs the sensor module to the auxiliary monitoring device in the monitoring system, and uses the auxiliary monitoring device for auxiliary monitoring. It has more than four sets of installation frames that can perform independent angle adjustment. Each set of installation frames is provided with an independent sensor guard. The sensor module can be installed inside the sensor guard to perform centralized and synchronous monitoring of multiple detection surfaces. During the installation process or the monitoring process, the angle can be adjusted by the motor in the frame without manual adjustment. The sensor guard has a built-in efficient heat dissipation structure and a sealed structure, has strong environmental adaptability, and can avoid damage in extreme weather to affect the monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0031] Figure 2 It is a schematic diagram of the structure of the auxiliary monitoring device of the present invention;

[0032] Figure 3 It is a schematic diagram of the cross-sectional structure of the installation frame of the present invention;

[0033] Figure 4 It is a schematic diagram of the structure of the connection adjustment mechanism of the present invention;

[0034] Figure 5 It is a schematic diagram of the structure of the sensor guard of the present invention;

[0035] Figure 6 It is a schematic diagram of the internal structure of the fixed shell of the present invention;

[0036] Figure 7 It is a schematic diagram of the structure of the protection box of the present invention.

[0037] Among them: installation frame-1, connection adjustment mechanism-2, sensor guard-3, frame body-11, support pad-12, motor box-13, first motor-14, reducer-15, rotating part-16, support plate-21, locking rod-22, guide gear-23, side plate-24, protection box-31, fixed shell-32, induction plate-33, ventilation net-34, support shell-35, shell-311, cover plate-312, sealing pad-313, guide groove-314, connecting rod-315, sliding sleeve-316, threaded rod-317, second motor-318. DETAILED DESCRIPTION

[0038] In order to further explain the technical solution of the present invention, it is described in detail below through specific embodiments.

[0039] See also Figure 1 , the present invention provides an automatic monitoring system for the displacement of curved slope bridge piers, including a sensor system, a data acquisition system, a data processing and analysis system, a communication system, a remote monitoring center and an energy supply system;

[0040] Sensor system: monitors the displacement, inclination, acceleration and environmental conditions of the bridge piers. The sensor system includes a displacement sensor, an inclination sensor, an acceleration sensor and an environmental adaptability sensor. The four sets of sensors are integrated into a sensor module and installed inside the auxiliary monitoring device. Environmental adaptability sensor: monitors environmental conditions such as temperature, humidity and air pressure;

[0041] Data acquisition system: responsible for collecting sensor data in real time and applying adaptive calibration technology. The data acquisition system includes a data acquisition module and an adaptive calibration module. The data acquisition module is responsible for integrating and transmitting the data collected by the sensor in real time to the central processing system. The data acquisition module has data preprocessing functions. The adaptive calibration module dynamically adjusts the measurement parameters according to environmental changes.

[0042] Central processing system: built-in data processing and analysis system, real-time processing of sensor data, historical data comparison and trend prediction. The data processing and analysis system includes real-time data processing and historical data comparison and trend prediction. Real-time data processing: The central processing system processes the data transmitted by the sensor in real time, including displacement, inclination and acceleration monitoring. Historical data comparison and trend prediction: The system compares and analyzes the current data with the historical data, and predicts the future structural change trend based on the machine learning algorithm.

[0043] Communication system: transmits processed data to the remote monitoring center through wireless or wired communication, including wireless communication modules and wired communication lines;

[0044] Remote monitoring center: used for real-time monitoring and alarm response, supports remote monitoring and management, and is equipped with a display screen, alarm system, and remote monitoring system. The remote monitoring center is equipped with a display screen, an alarm system, and a remote monitoring system. It can display the displacement of the piers and the health status of the structure in real time, set safety thresholds, and automatically trigger alarms when exceeded to notify relevant personnel to take measures. It monitors the status of the piers around the clock and supports remote access control and real-time data viewing.

[0045] Energy power supply system: Provides the power required by the sensor system, data acquisition system, central processing system and communication system, including solar power supply system and cable line power supply system.

[0046] The steps to implement the adaptive calibration module are as follows:

[0047] S1 data reception: receiving data transmitted from sensors and data acquisition modules;

[0048] S2 Environmental Data Analysis: Environmental data collected by the environmental adaptability sensor is transmitted to the adaptive calibration module, which analyzes the data and identifies the impact of environmental changes such as temperature, humidity and air pressure on sensor readings;

[0049] S3 calibration algorithm: Based on the results of environmental data analysis, the adaptive calibration module uses a specific calibration algorithm to calculate the parameters that need to be adjusted. The calibration algorithm is a multivariate regression analysis algorithm;

[0050] S4 parameter adjustment and feedback: The calculated calibration parameters are transmitted back to each sensor to adjust its measurement parameters, and the adaptive calibration module feeds back the calibrated data to the data acquisition module and sensor system.

[0051] The steps to implement multivariate regression analysis are as follows:

[0052] Data collection: Collect data from various sensors, including displacement, inclination, acceleration, and environmental adaptability sensor data such as temperature, humidity, and air pressure;

[0053] Data preprocessing: clean the data, handle missing values ​​and outliers, and standardize or normalize the data to eliminate the impact of different dimensions on the analysis results;

[0054] Construct a regression model: determine the dependent variable (such as the measurement value of the sensor) and the independent variable (environmental parameters), and construct a multivariate regression model in the following form: y = β0 + β1x1 + β2x2 + ... + βnxn + ∈, where y is the dependent variable, x1, x2, ..., xn, are independent variables, β0 is the intercept, β1, β2 .... βn are regression coefficients, and ∈ is the error term;

[0055] Model training: Use historical data (training set) to train the regression model, calculate the regression coefficient β, and use the least squares (OLS) method to estimate the regression coefficient;

[0056] Model validation: Use validation set data to validate the model’s predictive power, evaluate the model’s accuracy and robustness, and ensure the model’s generalization ability through methods such as cross-validation;

[0057] Parameter adjustment: Based on the prediction results of the regression model, the measurement parameters of the sensor are adjusted to make the readings more accurate;

[0058] Real-time calibration: During system operation, new data is continuously collected, the regression model is updated in real time, and the measurement parameters of the sensor are dynamically adjusted to achieve adaptive calibration.

[0059] The sensor module is installed in the auxiliary monitoring device at the key position of the bridge pier to continuously monitor parameters such as displacement, inclination and acceleration. The environmental adaptability sensor monitors environmental conditions such as temperature and humidity, and transmits these data together with the displacement data to the data acquisition system. Wired / wireless communication: data is transmitted to the monitoring center through a wired or wireless communication network. Wireless communication modules such as LoRa or NB-IoT are suitable for low-power and long-distance transmission. 5G is suitable for high bandwidth requirements. Real-time processing: The central processing system processes the transmitted data in real time and analyzes the displacement, inclination and acceleration changes of the bridge pier. The sensor automatic calibration function adjusts the measurement parameters according to the real-time monitored environmental conditions to ensure the accuracy of the data. Historical comparison and trend prediction: compare the current data with the historical data, use machine learning and big data analysis technology to predict future changes and identify potential risks. When the monitoring data exceeds the set safety threshold, the system automatically triggers an alarm and notifies relevant personnel to take countermeasures. According to the alarm information, emergency response measures are formulated and implemented to ensure the safety of the bridge. The system generates regular reports to record the displacement of the bridge piers to help engineers with bridge maintenance and decision-making. All monitoring data and analysis results are archived for future query and analysis.

[0060] See also Figure 2 and Figure 3 The auxiliary monitoring device includes a mounting frame 1 for protection, and the mounting frame 1 is provided with four groups, and the four groups of mounting frames 1 are directly connected at front and rear positions through a connecting adjustment mechanism 2, and a sensor guard 3 for installing a sensor module is provided in the middle of the mounting frame 1;

[0061] The mounting frame 1 includes a frame body 11 for supporting and installing, and support pads 12 are embedded in the upper and lower ends of the frame body 11 near the four corners. Two groups of round holes are opened at the front and rear positions of the frame body 11, and bolts can be locked to fix the entire frame body to the detection surface. A groove is opened at the position where the frame body 11 is connected to the connection and adjustment mechanism 2, and two groups of locking holes are opened on the inner side of the groove. The head and tail sides are not connected to the frame body 11 of the connection and adjustment mechanism 2, and the side faces are not provided with a groove. A motor box 13 is arranged at the front end of the frame body 11, and a first motor 14 is arranged inside the motor box 13. The output shaft inside the first motor 14 is connected to the reducer 15, and the output shaft of the reducer 15 is connected to the rotating member 16. The rotating member 16 is provided with two groups, and the front and rear rotating members are connected to the output shaft of the reducer 15. The rear end rotating member is arranged at the rear end of the frame body 11, and the inner sides of the two groups of rotating members 16 are connected to the sensor guard 3, and the sensor guard 3 rotates with the rotating member 16.

[0062] See also Figure 4The connection adjustment mechanism 2 includes two groups of support plates 21 placed inside the grooves of the two groups of frames 1. The front and rear ends of the support plates 21 are connected to the lock holes inside the grooves through lock rods 22. A guide gear 23 is welded to the middle of the other end of the support plate 21. The guide gears 23 inside the two groups of support plates 21 are meshed, and the front and rear positions of the two groups of guide gears 23 are hinged through side plates 24.

[0063] See also Figure 5-Figure 7 The sensor guard 3 includes a protection box 31 disposed at the front and rear ends of the frame 11 and connected to the rotating member 16. A fixed shell 32 is connected to the inner side of the protection box 31. A sensing plate 33 is disposed at the middle of the top of the fixed shell 32. A ventilation net 34 is embedded in the left and right diagonal positions of the fixed shell 32. A support shell 35 is disposed in the middle of the fixed shell 32. The support shell 35 is used to install the sensor module. The support shell 35 is made of aluminum for easy heat dissipation. A strip groove corresponding to the diagonal angle of the fixed shell 32 is provided on the outer side of the support shell 35 for easy stable heat dissipation and wind guiding.

[0064] The protective box 31 includes a shell 311 connecting the front and rear ends of the fixed shell 32, an embedding groove is opened in the middle of the outer side of the shell 311, and the inside of the embedding groove is connected to the rotating part 16, and a cover plate 312 is arranged on the surface of the shell 311 at a diagonal position corresponding to the ventilation net 34, and a sealing gasket 313 is attached to the inner side of the cover plate 312, and a guide groove 314 is opened at a diagonal position of the shell 311, and the inside of the guide groove 314 is penetrated by a connecting rod 315, and the connecting rod 315 penetrates the guide groove 314 to connect the cover plate 312, and the cover plate 312 moves with the connecting rod 315 to cover the ventilation net 34, and the other end of the connecting rod 315 is connected to a sliding sleeve 316, and the middle part of the sliding sleeve 316 is threadedly connected to a threaded rod 317, and the back of the threaded rod 317 is connected to the output shaft of the second motor 318, and the second motor 318 is installed at the rear end of the shell 311.

[0065] The specific implementation process of the auxiliary monitoring device is as follows:

[0066] When the sensor module needs to be installed inside the auxiliary monitoring device for use, the installed auxiliary monitoring device is placed at the position where it needs to be used. Then the user can apply force to the installation frame 1 according to the connected detection surfaces of different angles, and the angle can be adjusted by rotating the guide gear 23 inside the connection adjustment mechanism 2 to adjust each set of installation frames 1 to the angle matching the detection surface;

[0067] After the adjustment is completed, it is necessary to adjust whether the induction plate 33 is in contact with the detection surface according to the detection surface. The user starts the first motor 14 in the installation frame 1 where the non-matching detection surface is located. The first motor 14 drives the reducer 15 to rotate the rotating member 16, and the sensor guard 3 inside can be turned over to achieve matching with the detection surface.

[0068] Then the installation can be started, and the external bolts are locked into the round holes to lock it on the detection surface, supported by the support pad 12, and then the detection work can be started;

[0069] Corresponding ventilation nets 34 are opened diagonally on both sides of the fixed shell 32 to facilitate air to enter the interior for heat dissipation, and the internal support shell 35 is made of aluminum, which cooperates with the strip grooves on the surface for efficient heat conduction. If low temperature or heavy rain occurs, the user starts the second motor 318, and the second motor 318 rotates with the threaded rod 317. During the rotation of the threaded rod 317, the sliding sleeve 316 can be driven to slide. During the sliding process, the connecting rods 315 at both ends can be driven to move the cover plate 312, thereby covering the ventilation net 34 and reducing the entry of cold air or rain.

[0070] The above description is only a preferred example of the present invention and is not intended to limit the present invention. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automatic monitoring system for the displacement of curved slope bridge piers, characterized in that: Including sensor system, data acquisition system, data processing and analysis system, communication system, remote monitoring center and energy supply system; Sensor system: monitors the displacement, inclination, acceleration and environmental conditions of the bridge piers; Data acquisition system: responsible for collecting sensor data in real time and applying adaptive calibration technology; Central processing system: built-in data processing and analysis system, real-time processing of sensor data, historical data comparison and trend prediction; Communication system: transmits processed data to the remote monitoring center through wireless or wired communication, including wireless communication modules and wired communication lines; Remote monitoring center: used for real-time monitoring and alarm response, supports remote monitoring and management, and has display screen, alarm system and remote monitoring system; Energy supply system: Provides the power required by the sensor system, data acquisition system, central processing system and communication system, including solar power supply system and cable line power supply system; The sensor system includes a displacement sensor, an inclination sensor, an acceleration sensor and an environmental adaptability sensor. The four groups of sensors are integrated into a sensor module and installed inside the auxiliary monitoring device. The environmental adaptability sensor: monitors the environmental conditions of temperature, humidity and air pressure; The auxiliary monitoring device includes a mounting frame for protection, the mounting frame is provided with more than four sets of connection adjustment mechanisms for connecting the mounting frame and a sensor guard provided in the middle of the mounting frame for installing the protection sensor module; The mounting frame includes a frame body with a sensor guard connected to the inside, support pads arranged at the four ends of the upper and lower sides of the frame body, a motor box arranged at the front end of the frame body, a first motor arranged inside the motor box, a reducer connected to the output shaft of the first motor, and a rotating member connected to the output shaft of the reducer, wherein the rotating member is provided with two groups, the front and rear rotating members are connected to the output shaft of the reducer, and the rear rotating member is arranged at the rear end of the frame body, and the inner sides of the two groups of rotating members are connected to the sensor guard; The frame is provided with a groove at the position where the adjusting mechanism is connected, and the side surfaces of the head and tail are not connected to the frame of the adjusting mechanism, and the side surfaces are not provided with a groove; The connection adjustment mechanism includes a support plate arranged on the inner side of two groups of corresponding grooves, a locking rod for connecting the support plate and the groove, a guide gear arranged on the inner side of the support plate, and a side plate hinged on the outer side of the guide gear, the guide gears on the inner side of the two groups of support plates are meshed, and the front and rear positions of the two groups of guide gears are hinged through the side plate; The sensor guard includes two sets of protection boxes arranged inside the frame, a fixed shell arranged inside the two sets of protection boxes, a sensing plate installed on the top of the fixed shell, a ventilation net arranged at the diagonal positions on both sides of the sensing plate, and a supporting shell arranged inside the protection box for installing the sensor module.

2. According to claim 1, the automatic monitoring system for displacement of curved slope bridge piers is characterized by: The data acquisition system includes a data acquisition module and an adaptive calibration module. The data acquisition module is responsible for integrating and transmitting the data collected by the sensor in real time to the central processing system. The data acquisition module has a data preprocessing function. The adaptive calibration module dynamically adjusts the measurement parameters according to environmental changes.

3. According to claim 2, the automatic monitoring system for displacement of curved slope bridge piers is characterized by: The steps of implementing the adaptive calibration module are as follows: S1 data reception: receiving data transmitted from sensors and data acquisition modules; S2 Environmental Data Analysis: Environmental data collected by the environmental adaptability sensor is transmitted to the adaptive calibration module, which analyzes the data and identifies the impact of environmental changes such as temperature, humidity and air pressure on sensor readings; S3 calibration algorithm: Based on the results of environmental data analysis, the adaptive calibration module uses a specific calibration algorithm to calculate the parameters that need to be adjusted. The calibration algorithm is a multivariate regression analysis algorithm; S4 parameter adjustment and feedback: The calculated calibration parameters are transmitted back to each sensor to adjust its measurement parameters, and the adaptive calibration module feeds back the calibrated data to the data acquisition module and sensor system.

4. According to claim 1, the automatic monitoring system for displacement of curved slope bridge piers is characterized by: The data processing and analysis system includes real-time data processing and historical data comparison and trend prediction. Real-time data processing: the central processing system processes the data transmitted by the sensor in real time, including the monitoring of displacement, inclination and acceleration. Historical data comparison and trend prediction: the system compares and analyzes the current data with the historical data, and makes predictions based on machine learning algorithms to predict future structural change trends.

5. According to claim 1, the automatic monitoring system for displacement of curved slope bridge piers is characterized by: The remote monitoring center is equipped with a display screen, an alarm system, and a remote monitoring system, which can display the displacement of the bridge piers and the structural health status in real time, set safety thresholds and automatically trigger alarms when exceeded to notify relevant personnel to take measures, monitor the status of the bridge piers around the clock, and support remote access control and real-time data viewing.

6. According to claim 1, the automatic monitoring system for displacement of curved slope bridge piers is characterized by: The protective box includes a shell body connected to a rotating part on the outside, a cover plate arranged on the outside of the shell body corresponding to the ventilation net, a sealing gasket arranged on the inside of the cover plate, a guide groove opened on the outside of the shell body, a connecting rod passing through the guide groove and connected to the cover plate, a sliding sleeve connected to the other end of the connecting rod, a threaded rod threadedly connected to the inside of the sliding sleeve, and a second motor installed inside the shell body with an output shaft connected to the threaded rod.

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