A bridge pier monitoring and early warning system

Abstract

The present invention discloses a bridge pier monitoring and early warning system, which relates to the field of engineering monitoring technology and is used to solve the problems of reduced intelligence level of bridge pier structure safety monitoring and increased bridge safety risks. The system judges the degree of proofreading deviation by collecting status data of a transmitting plate and a receiving plate, and selects to set a monitoring signal or an alarm signal 1 according to the degree of proofreading deviation. After the monitoring signal is set, the change data of the proofreading plate group is collected, and the collected change data is passed into a first-stage proofreading mechanism. A second-stage proofreading mechanism or an alarm signal 2 is set according to the first-stage proofreading mechanism. When a second-stage proofreading signal is generated, the behavior data of the proofreading plate group is detected, and whether to generate an alarm signal 2 is determined according to the detection result. Finally, different alarm prompts are selected according to the alarm signal 1 or the alarm signal 2 and sent to the user end, thereby improving the accuracy of bridge pier monitoring and greatly saving the detection cost of the bridge pier.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering monitoring, and more particularly to a bridge pier monitoring and early warning system. Background Art

[0002] With the acceleration of urbanization, the expansion of transportation infrastructure construction, and the continuous increase in the service life of bridges, the structural safety of bridge piers, as important load-bearing structures of bridges, is directly related to the overall stability and traffic safety of the bridges. At present, the monitoring and early warning technology for the structural status of bridge piers mainly relies on manual regular inspections, static stress and strain measurement point observations, or simple monitoring based on single sensor data.

[0003] The existing technology has the following deficiencies:

[0004] At present, manual inspection has problems such as poor real-time performance, great environmental impact, and long inspection cycle. Single-point static measurement and single physical quantity monitoring lead to insufficient comprehensiveness and dynamics of monitoring data. The single early warning mechanism makes it difficult to achieve early risk prevention and control. These factors have led to a decrease in the intelligence level of bridge pier structure safety monitoring and an increase in bridge safety risks. Therefore, a bridge pier monitoring and early warning system is proposed.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a bridge pier monitoring and early warning system, which solves the problems raised in the above-mentioned background technology by utilizing multi-module data collaborative collection, multi-stage proofreading and analysis, and hierarchical dynamic early warning mechanism.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: a bridge pier monitoring and early warning system, comprising a data acquisition module, an early warning and proofreading module, a bridge pier monitoring module, and an alarm prompt module. The functions of each module are as follows:

[0008] The data acquisition module is used to collect the status data of the transmitting board and the receiving board, and transmit it to the early warning and proofreading module. After receiving the monitoring signal sent back by the early warning and proofreading module, it collects the change data of the proofreading board group and transmits it to the bridge pier monitoring module;

[0009] After receiving the status data of the transmitting board and the receiving board, the early warning proofreading module determines the proofreading deviation degree of the transmitting board and the receiving board, selects and sets the monitoring signal or the alarm signal 1 according to the proofreading deviation degree, and sends the monitoring signal to the data acquisition module or sends the alarm signal 1 to the alarm prompt module;

[0010] The pier monitoring module receives the change data of the proofreading plate group and passes it into the first-stage proofreading mechanism. According to the first-stage proofreading mechanism, the second-stage proofreading signal or alarm signal 2 is generated. When the second-stage proofreading signal is generated, the behavior data of the proofreading plate group is detected. Based on the detection result, it is determined whether to generate alarm signal 2, and the alarm signal 2 is transmitted to the alarm prompt module.

[0011] The alarm prompt module is used to receive alarm signal 1 or alarm signal 2, and select different alarm prompts according to the alarm signal to send to the user end.

[0012] In a preferred embodiment, the ratio of the total number of laser signals emitted by the transmitting board to the number of laser signals effectively received by the receiving board is calculated to obtain the laser signal reception completeness rate;

[0013] The actual landing point of the effectively received laser signal on the receiving board is collected, and the absolute difference between the actual landing point and the theoretical landing point is calculated and averaged to obtain the laser signal receiving offset distance;

[0014] Set the vertical direction vector as the reference vector;

[0015] Collect the direction vector of the line formed by the center of the light-transmitting hole of the calibration plate and the laser emission point as the laser vector;

[0016] The angle between the reference vector and the laser vector is calculated using the vector angle calculation formula and the average value is taken to obtain the tilt angle.

[0017] In a preferred embodiment, the laser signal reception offset distance is normalized using a maximum value normalization method to obtain a laser signal reception offset rate;

[0018] The laser signal reception completeness rate and the laser signal reception offset rate are used as inputs of the logistic regression model, and a linear combination is performed to obtain the linear function output value;

[0019] Perform Sigmoid function operation on the output value of the linear function to obtain the degree of correction deviation.

[0020] In a preferred embodiment, the degree of calibration deviation is compared with a preset determination threshold;

[0021] If the degree of proofreading deviation is less than the judgment threshold, a monitoring signal is generated;

[0022] If the degree of calibration deviation is greater than or equal to the determination threshold, an alarm signal 1 is generated.

[0023] In a preferred embodiment, the received change data of the proofreading plate group is the tilt angle, the change data is passed to the first-stage proofreading mechanism, and a second-stage proofreading signal or an alarm signal 2 is generated;

[0024] If the tilt angle is greater than the tilt threshold, an alarm signal 2 is generated;

[0025] Otherwise, a second-stage correction signal is generated.

[0026] In a preferred embodiment, after the second-stage calibration signal is generated, the second-stage calibration mechanism is entered to obtain the calibration board group behavior data, including the straight-line distance of the light source point and the interval time difference;

[0027] The straight-line distance between the light source point and the nearest hole on the calibration board is the straight-line distance between the light source point and the nearest hole on the calibration board;

[0028] The interval time difference is the time interval difference between the disappearance of the light source of the receiving plate between two consecutive samplings.

[0029] In a preferred embodiment, the distance deviation scoring factor is obtained by comprehensively calculating the mean and standard deviation of the straight-line distances of the light source points within a preset acquisition period;

[0030] Record the time interval difference at each sampling moment, and calculate the median absolute deviation of the time interval difference within the sampling period using the MAD algorithm;

[0031] The time interval deviation factor is calculated by the median absolute deviation.

[0032] In a preferred embodiment, the distance deviation score factor and the time interval deviation factor are combined to formulate fuzzy rules using a fuzzy logic method to determine whether to generate an alarm signal 2;

[0033] Perform fuzzy reasoning according to the fuzzy rules, and when the output result is to generate an alarm signal 2, the alarm signal 2 is transmitted to the alarm prompt module;

[0034] When the output result is that the alarm signal 2 is not generated, the monitoring state is continued.

[0035] In a preferred embodiment, the alarm prompt module receives the incoming alarm signal 1 or alarm signal 2, selects different alarm prompts according to the alarm signal and sends them to the user terminal;

[0036] If alarm signal 1 is received, the inspection personnel will be reminded to inspect the transmitting board and the receiving board;

[0037] If the alarm signal 2 is received, the inspection personnel are reminded to inspect the calibration board.

[0038] The technical effects and advantages of the present invention are as follows:

[0039] The present invention determines the degree of proofreading deviation by collecting status data of the transmitting board and the receiving board, and selects to set a monitoring signal or an alarm signal 1 according to the degree of proofreading deviation. After the monitoring signal is set, the change data of the proofreading board group is collected, and the collected change data is passed into the first-stage proofreading mechanism. The second-stage proofreading mechanism or the alarm signal 2 is set according to the first-stage proofreading mechanism. When the second-stage proofreading signal is generated, the behavior data of the proofreading board group is detected, and whether to generate the alarm signal 2 is determined according to the detection result. Finally, different alarm prompts are selected according to the alarm signal 1 or the alarm signal 2 and sent to the user end, thereby improving the accuracy of bridge pier monitoring and greatly saving the detection cost of the bridge pier. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the steps of a bridge pier monitoring and early warning system of the present invention.

[0041] Figure 2 This is a flow chart for implementing a bridge pier monitoring and early warning system of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] A bridge pier monitoring and early warning system, such as Figure 1 and Figure 2 As shown, it includes a data acquisition module, an early warning and proofreading module, a pier monitoring module and an alarm prompt module, and the modules are connected by electrical signals;

[0044] The functions of each module are as follows:

[0045] The data acquisition module is used to collect the status data of the transmitting board and the receiving board, and transmit it to the early warning and proofreading module. After receiving the monitoring signal sent back by the early warning and proofreading module, it collects the change data of the proofreading board group and transmits it to the bridge pier monitoring module;

[0046] After receiving the status data of the transmitting board and the receiving board, the early warning proofreading module determines the proofreading deviation degree of the transmitting board and the receiving board, selects and sets the monitoring signal or the alarm signal 1 according to the proofreading deviation degree, and sends the monitoring signal to the data acquisition module or sends the alarm signal 1 to the alarm prompt module;

[0047] The pier monitoring module receives the change data of the proofreading plate group and passes it into the first-stage proofreading mechanism. According to the first-stage proofreading mechanism, the second-stage proofreading signal or alarm signal 2 is generated. When the second-stage proofreading signal is generated, the behavior data of the proofreading plate group is detected. Based on the detection result, it is determined whether to generate alarm signal 2, and the alarm signal 2 is transmitted to the alarm prompt module.

[0048] The alarm prompt module is used to receive alarm signal 1 or alarm signal 2, and select different alarm prompts according to the alarm signal to send to the user end.

[0049] The specific implementation is as follows:

[0050] In the data acquisition module, by calculating the key parameters in the laser emission path, the emission status of the transmitting board and the receiving status of the receiving board are quantitatively counted, thereby realizing real-time monitoring and acquisition of status data, and the acquired status data is transmitted to the early warning and proofreading module;

[0051] The transmitting plate is a long strip structure on which laser transmitters with unique numbers and standard spacing are evenly installed in the horizontal direction. The spacing is a standard preset value, which is set by professionals through engineering measurement values ​​calculated based on the analysis of laser diffusion angle characteristics and the required resolution of structural monitoring. It will not be elaborated here.

[0052] The receiving board is a long strip structure corresponding to the transmitting board. During operation, all laser transmitters simultaneously transmit laser signals to the receiving board at a fixed frequency. The receiving board is equipped with a corresponding number of laser receivers, which correspond to the laser transmitter numbers. Each laser receiver can detect whether its corresponding laser signal hits and record the reception time and landing position.

[0053] A calibration plate group is arranged between the transmitting plate and the receiving plate. The calibration plate group is composed of multiple independent long plates, and the number of independent long plates is usually three to five. This embodiment takes three independent long plates as an example. Each long plate is provided with a through hole. The position of the through hole strictly corresponds to the position of each laser emitter on the transmitting plate. The light transmission between the laser emitter and the laser receiver can be used to obtain the laser path information of each channel.

[0054] The status data includes the laser signal reception completeness rate and the laser signal reception offset distance;

[0055] After the laser transmitter of the transmitting board synchronously sends out the laser signal, the data acquisition module collects the reception status of all laser signals of the receiving board. If the receiving board successfully receives the laser signal of the laser transmitter, it is recorded as a valid reception, otherwise it is recorded as an invalid reception. The number of validly received laser signals is counted, and the ratio of the total number of laser signals emitted by the transmitting board to the number of validly received laser signals of the receiving board is calculated to obtain the laser signal reception completeness rate.

[0056] The laser signal reception integrity rate reflects the overall reception effectiveness of the laser signal. Its value is less than or equal to 1. The closer the value is to 1, the more complete the transmission link is. When the value is less than 1, there is a risk of transmission or reception angle error, obstruction, or structural deviation.

[0057] The actual landing point position of each valid received laser signal on the receiving board is further collected, and the absolute difference between the actual landing point position and the theoretical landing point position is calculated and averaged to obtain the laser signal receiving offset distance. The above theoretical landing point position is pre-calculated based on the unique number of the laser transmitter and the reference geometric relationship. It does not change with the collection process and is not described in detail here.

[0058] The laser signal receiving offset distance reflects the degree of deviation between the actual laser signal landing point and the theoretical landing point. If its value is greater than 0, there is a risk of translation or tilt of the transmitting or receiving board.

[0059] After completing the calculation, the data acquisition module uploads the laser signal reception completeness rate and the laser signal reception offset distance to the early warning and proofreading module.

[0060] After receiving the monitoring signal sent back by the early warning proofreading module, the data acquisition module enters the process of collecting the change data of the proofreading plate group. The change data of the proofreading plate group includes the tilt angle.

[0061] For the tilt angle, the angle sensor installed on each long plate of the calibration plate group is used to collect the angle of the long plate relative to the vertical direction. The vertical direction vector is set as the reference vector, and the direction vector of the line formed by the center of the light-transmitting hole and the laser emission point is set as the laser vector. The tilt angle of the i-th channel can be obtained by the vector angle calculation formula, which is: ;

[0062] in, is the tilt angle of the i-th channel, is the base vector, is the laser vector;

[0063] Perform arithmetic average calculation on the tilt angles of N laser signals to obtain the tilt angle, and transmit the tilt angle to the bridge pier monitoring module for subsequent operation execution;

[0064] It should be noted that an angle sensor is a sensing device used to measure the spatial rotation angle of an object relative to a reference direction.

[0065] In the early warning and calibration module, after receiving the laser signal reception completeness rate and laser signal reception offset distance uploaded by the data acquisition module, the calibration deviation between the transmitting board and the receiving board is quantitatively judged based on the logistic regression algorithm, and a monitoring signal or alarm signal 1 is output accordingly;

[0066] To eliminate the influence of different dimensions, the early warning calibration module uses the maximum value normalization method to perform normalization on the laser signal reception offset distance to obtain the laser signal reception offset rate;

[0067] After data standardization is completed, the early warning and calibration module uses a logistic regression model to determine the degree of calibration deviation between the transmitter and receiver boards. The logistic regression model takes the laser signal reception integrity rate and the laser signal reception offset rate as inputs and performs a linear combination to obtain a linear function output value.

[0068] Perform Sigmoid function operation on the output value of the linear function to calculate the degree of correction deviation. The specific calculation formula is: ;

[0069] in, is the degree of proofreading deviation, is the bias term of the logistic regression model, The weight coefficient is the weight coefficient. The logistic regression model is weighted by superimposing the weight coefficient. That is, the laser signal reception completeness rate and the laser signal reception deviation rate are used to train the weight matrix respectively, and the degree of correction deviation is calculated by combining the final weight.

[0070] Compare the degree of calibration deviation with a preset judgment threshold value, which is determined by professionals through statistical analysis of historical structural monitoring data and comparison of actual engineering test results, and will not be described in detail here;

[0071] If the degree of calibration deviation is less than the judgment threshold, it means that the laser signal transmission link is within the acceptable normal range and the structural component has no obvious deviation or deformation. The early warning calibration module generates a monitoring signal and transmits the monitoring signal back to the data acquisition module for continuing to perform the subsequent calibration board group change data acquisition task;

[0072] If the degree of calibration deviation is greater than or equal to the judgment threshold, it means that there is a high probability of calibration deviation in the laser signal transmission link. The early warning calibration module generates an alarm signal 1 and transmits it to the alarm prompt module, prompting the inspector to inspect and correct the transmitting board and receiving board.

[0073] It should be noted that the logistic regression model is a classification prediction model based on statistical theory, which is used to model the probabilistic relationship between input feature data and output categories. In this embodiment, the logistic regression model calculates the degree of calibration deviation based on the collected status data of the transmitting board and the receiving board and determines whether to trigger a monitoring signal or an alarm signal.

[0074] The pier monitoring module receives the change data of the calibration plate group as the inclination angle, passes the change data into the first-stage calibration mechanism, and determines whether to generate the second-stage calibration signal or alarm signal 2:

[0075] If the tilt angle is greater than the tilt threshold, an alarm signal 2 is generated;

[0076] Otherwise, a second-stage proofreading signal is generated;

[0077] After the second-stage calibration signal is generated, the second-stage calibration mechanism is entered to detect the behavioral data of the calibration board group. The behavioral data includes the straight-line distance between the light source points and the interval time difference;

[0078] The straight-line distance between the light source point and the nearest hole on the calibration board is the straight-line distance between the light source point and the nearest hole on the calibration board;

[0079] The coordinates of the light source and the surrounding holes on the calibration plate are obtained through a high-precision laser proximity sensor. The straight-line distance between the light source and the surrounding holes is obtained through the Euclidean distance method. The minimum straight-line distance between the light source and the surrounding holes is taken as the corresponding straight-line distance between the light source and the surrounding holes.

[0080] The interval time difference is the time difference between the disappearance of the light source of the receiving plate between two consecutive samplings;

[0081] For the interval time difference, the photoelectric sensor records the time of two consecutive laser receptions and makes the difference to obtain the interval time difference;

[0082] The acquisition cycle is preset and evenly divided into M sampling moments. At each sampling moment, the laser signal is emitted by the transmitting board. The number of calibration boards in the calibration board group is recorded as K. The average straight-line distance of all light source points in the calibration board group at the sampling moment is taken as the straight-line distance of the light source point at the corresponding sampling moment and recorded as ;

[0083] The mean and standard deviation of the straight-line distance of the light source point within the acquisition period are recorded as and , calculate the relative deviation score factor of the straight-line distance of the light source point: ,in, is the distance deviation scoring factor;

[0084] If the distance deviation score factor is small, it indicates that the relative position of the light source and the holes is stable. When the number of holes is large, the overall pier structure is normal and there is no obvious local deformation. If the distance deviation score factor is large, it means that the light source has significantly displaced relative to the holes. This may be due to local stress deformation of the pier structure, which leads to a decrease in the number of holes.

[0085] The distance deviation score factor reflects the effectiveness of the hole quantity. The larger the distance deviation score factor, the more abnormal the hole offset, occlusion or missing in the proofreading plate group.

[0086] Record the time interval difference at each sampling moment and record it as (i) The mean time interval difference of each sampling moment is recorded as , sorted by time within the sampling period and merged into an interval difference set;

[0087] The median absolute deviation of the interval difference set within the sampling period is calculated by the MAD algorithm, and the median of the disappearance time set is recorded as , the median absolute deviation is: ,in, is the i-th time interval difference, is the median absolute deviation of the time interval;

[0088] Calculate the time interval deviation factor from the median absolute deviation: ,in, is the time interval deviation factor;

[0089] The comprehensive distance deviation score factor and the time interval deviation factor are used to determine whether to generate an alarm signal 2 through a fuzzy logic method;

[0090] The distance deviation score factor and the time interval deviation factor are defined as input variables and divided into different fuzzy sets. For example, the distance deviation score factor is divided into low, medium and high, and the time interval deviation factor is divided into short, medium and long.

[0091] Whether to generate alarm signal 2 is defined as the output variable, which is divided into two results: generating alarm signal 2 and not generating alarm signal 2;

[0092] Formulate a set of fuzzy rules to describe the impact of different input variables on output variables. The definition of rules can be based on professional knowledge or obtained through data analysis and experiments. For example:

[0093] If the distance deviation score factor is low and the time interval deviation factor is short, no alarm signal 2 is generated;

[0094] If the distance deviation score factor is high and the time interval deviation factor is medium, then an alarm signal 2 is generated;

[0095] If the distance deviation score factor is medium and the time interval deviation factor is long, then an alarm signal 2 is generated;

[0096] If the distance deviation score factor is high and the time interval deviation factor is long, an alarm signal 2 is generated.

[0097] Fuzzy reasoning is performed according to fuzzy rules. When the output result is to generate alarm signal 2, the alarm signal 2 is transmitted to the alarm prompt module; when the output result is not to generate alarm signal 2, the monitoring state is continued.

[0098] It should be explained that the division of fuzzy sets can be adjusted according to actual conditions. In fact, the distance deviation score factor and the time interval deviation factor can be divided into three or more sets. For example, the distance deviation score factor set can be divided into very low, low, medium, high, and very high, so as to facilitate more precise adjustment according to different conditions.

[0099] It should be noted that the high-precision laser proximity sensor is a non-contact sensor that uses the reflection or occlusion changes of the laser beam to achieve precise measurement of the target position change; the photoelectric sensor is an intelligent sensor based on the principle of photoelectric effect, which realizes position, existence or state recognition by detecting changes in the target object's occlusion, reflection or transmission of light; the MAD algorithm is an indicator used for statistical analysis. It measures the degree of dispersion of the data by calculating the median of the absolute deviation of each sample point in the data set from the median, and can effectively suppress the influence of outliers on statistical results; the preset tilt threshold is set by professionals and will not be elaborated here.

[0100] The alarm prompt module is used to receive the incoming alarm signal 1 or alarm signal 2, select different alarm prompts according to the alarm signal and send them to the user end;

[0101] If alarm signal 1 is received, the inspection personnel will be reminded to check the transmitting board and the receiving board;

[0102] If alarm signal 2 is received, the inspection personnel are reminded to check the calibration board;

[0103] Through the classified alarm mechanism, differentiated prompt information can be issued for different abnormal sources, thereby improving inspection efficiency and response accuracy, and ensuring the intelligent and hierarchical response capabilities of the pier condition monitoring system.

[0104] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0105] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0106] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0107] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0108] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0111] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0112] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0113] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A bridge pier monitoring and early warning system, characterized by: It includes data acquisition module, early warning and proofreading module, pier monitoring module and alarm prompt module. The functions of each module are as follows: The data acquisition module is used to collect the status data of the transmitting board and the receiving board, and transmit it to the early warning and proofreading module. After receiving the monitoring signal sent back by the early warning and proofreading module, it collects the change data of the proofreading board group and transmits it to the bridge pier monitoring module; After receiving the status data of the transmitting board and the receiving board, the early warning proofreading module determines the proofreading deviation degree of the transmitting board and the receiving board, selects and sets the monitoring signal or the alarm signal 1 according to the proofreading deviation degree, and sends the monitoring signal to the data acquisition module or sends the alarm signal 1 to the alarm prompt module; The pier monitoring module receives the change data of the proofreading plate group and passes it into the first-stage proofreading mechanism. According to the first-stage proofreading mechanism, the second-stage proofreading signal or alarm signal 2 is generated. When the second-stage proofreading signal is generated, the behavior data of the proofreading plate group is detected. Based on the detection result, it is determined whether to generate alarm signal 2, and the alarm signal 2 is transmitted to the alarm prompt module. The alarm prompt module is used to receive alarm signal 1 or alarm signal 2, and select different alarm prompts according to the alarm signal and send them to the user end; Status data includes laser signal reception completeness rate and laser signal reception offset distance; The change data received from the proofreading plate group is the tilt angle, the change data is passed to the first-stage proofreading mechanism, and a second-stage proofreading signal or an alarm signal 2 is generated; If the tilt angle is greater than the tilt threshold, an alarm signal 2 is generated; Otherwise, a second-stage proofreading signal is generated; After generating the second-stage calibration signal, the second-stage calibration mechanism is entered to obtain the calibration board group behavior data, including the straight-line distance between the light source points and the interval time difference; The straight-line distance between the light source point and the nearest hole on the calibration board is the straight-line distance between the light source point and the nearest hole on the calibration board; The interval time difference is the time difference between the disappearance of the light source of the receiving plate between two consecutive samplings; The alarm prompt module receives the incoming alarm signal 1 or alarm signal 2, selects different alarm prompts according to the alarm signal and sends them to the user end; If alarm signal 1 is received, the inspection personnel will be reminded to inspect the transmitting board and the receiving board; If the alarm signal 2 is received, the inspection personnel are reminded to inspect the calibration board.

2. The bridge pier monitoring and early warning system according to claim 1, characterized in that: Calculate the ratio of the total number of laser signals emitted by the transmitting board to the number of laser signals effectively received by the receiving board to obtain the laser signal reception completeness rate; The actual landing point of the effectively received laser signal on the receiving board is collected, and the absolute difference between the actual landing point and the theoretical landing point is calculated and averaged to obtain the laser signal receiving offset distance; Set the vertical direction vector as the reference vector; Collect the direction vector of the line formed by the center of the light-transmitting hole of the calibration plate and the laser emission point as the laser vector; The angle between the reference vector and the laser vector is calculated using the vector angle calculation formula and the average value is taken to obtain the tilt angle.

3. The bridge pier monitoring and early warning system according to claim 2, characterized in that: The laser signal receiving offset distance is normalized using the maximum value normalization method to obtain the laser signal receiving offset rate; The laser signal reception completeness rate and the laser signal reception offset rate are used as inputs of the logistic regression model, and a linear combination is performed to obtain the linear function output value; Perform Sigmoid function operation on the output value of the linear function to obtain the degree of correction deviation.

4. The bridge pier monitoring and early warning system according to claim 3 is characterized by: Comparing the degree of proofreading deviation with a preset judgment threshold; If the degree of proofreading deviation is less than the judgment threshold, a monitoring signal is generated; If the degree of calibration deviation is greater than or equal to the determination threshold, an alarm signal 1 is generated.

5. The bridge pier monitoring and early warning system according to claim 1 is characterized by: The distance deviation scoring factor is obtained by comprehensively calculating the mean and standard deviation of the straight-line distance of the light source point within the preset acquisition period; Record the time interval difference at each sampling moment, and calculate the median absolute deviation of the time interval difference within the sampling period using the MAD algorithm; The time interval deviation factor is calculated by the median absolute deviation.

6. The bridge pier monitoring and early warning system according to claim 5, characterized in that: The distance deviation score factor and the time interval deviation factor are combined to formulate fuzzy rules using fuzzy logic method to determine whether to generate an alarm signal 2; Perform fuzzy reasoning according to the fuzzy rules, and when the output result is to generate an alarm signal 2, the alarm signal 2 is transmitted to the alarm prompt module; When the output result is that the alarm signal 2 is not generated, the monitoring state is continued.

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