Bridge construction facility safety monitoring method and system based on finite element real-time checking

Abstract

The present invention discloses a bridge construction facility safety monitoring method and system based on finite element real-time verification, the method comprising real-time collection of the measured mechanical response value of each structural measuring point; performing finite element calculation on the mechanical response of each structural measuring point through a finite element online calculation program to obtain a benchmark verification value; setting a verification upper limit and a verification lower limit according to the relationship between the benchmark verification value and the measured mechanical response value, as a first-level dynamic threshold value of the measured mechanical response value; setting a second-level static limit threshold value according to the structural material properties at the measuring point; performing graded alarm prompts on the mechanical response of each structural measuring point according to the measured mechanical response value of each structural measuring point, and the average rate of change of the measured mechanical response value and the benchmark verification value in a time series, the first-level dynamic verification threshold value and the second-level static limit threshold value; timely judging the facility operation status according to the alarm prompt, timely discovering the abnormal state of the bridge construction facility, and improving the monitoring system's perception of potential dangers.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of bridge engineering, and more particularly relates to a bridge construction facility safety monitoring method and system based on real-time finite element verification. BACKGROUND

[0002] In order to ensure the safety of bridge construction facilities in the bridge construction site, it is necessary to monitor the mechanical response of the structure. Especially for large temporary facilities and hoisting equipment, the traditional monitoring method is to use sensors to measure the mechanical response value in real time, and compare the measured mechanical response value with the structural design mechanical threshold value. When the measured value exceeds the limit, an alarm is issued to warn. However, the bridge temporary facilities and hoisting equipment often have safety hazards when the structural stress has not exceeded the limit. When the alarm is issued when the structural stress exceeds the limit, the bridge temporary facilities and hoisting equipment may be about to overturn or be damaged. For example, when the mechanical boundary conditions of the bridge girder machine change, assuming that one of the multiple legs is already suspended, under the action of normal load, the measured structural mechanical response may not exceed the threshold value, but the actual facility is already in a dangerous state. The alarm method based on fixed threshold value often brings the problem of difficult to control the further overturning or damage of the structure after the alarm.

[0003] Therefore, it is urgent to design a safety monitoring method and system based on real-time verification for bridge construction facilities to timely detect the abnormal working state of the bridge construction facilities in the case of low stress or displacement level, to find the possibility of finding safety hazards in advance, and to improve the safety monitoring effect of the bridge construction facilities on site. SUMMARY

[0004] In view of the above defects or improvement needs of the prior art, the present application provides a bridge construction facility safety monitoring system and method based on real-time finite element verification, which monitors the mechanical response of the bridge construction facility in real time through finite element calculation and dynamic threshold adjustment, and prompts the operation state of the facility according to different alarm conditions; can effectively improve the safety monitoring effect of the bridge construction site, especially timely find potential safety hazards in low stress or displacement level; the present application introduces finite element online calculation, multi-level threshold dynamic verification and multi-level alarm mechanism, which significantly improves the accuracy, reliability and applicability of the safety monitoring of the bridge construction facility, and provides strong technical support for the safety management of the bridge construction site.

[0005] In order to achieve the above purpose, one aspect of the present application provides a bridge construction facility safety monitoring method based on real-time finite element verification, comprising the following steps:

[0006] S1: Real-time acquisition of the measured mechanical response value of each structure measuring point of the bridge construction facility by the front-end data acquisition module, and transmission to the cloud platform;

[0007] S2: Real-time calculation of the mechanical response of each structural measurement point of the bridge construction facility by a finite element online calculation program deployed on a cloud platform, to obtain the real-time finite element mechanical response value of each structural measurement point, i.e. the benchmark check value of the measured mechanical response value;

[0008] S3: Setting the check upper limit and the check lower limit according to the relationship between the benchmark check value and the measured mechanical response value as the first layer dynamic threshold of the measured mechanical response value; setting the second layer static limit threshold according to the structural material properties at the measurement points;

[0009] S4: Calculating the average change rate of the measured mechanical response value and the benchmark check value of each structural measurement point in the time sequence according to the measured mechanical response value and the benchmark check value of each structural measurement point and the respective time sequence;

[0010] S5: Classifying and alarming the mechanical response of each structural measurement point according to the measured mechanical response value, the average change rate in the time sequence of the measured mechanical response value and the benchmark check value, the first layer dynamic check threshold and the second layer static limit threshold;

[0011] S6: Judging the operation of the bridge construction facility according to the alarm situation of each structural measurement point.

[0012] Further, step S2 comprises:

[0013] S21: Establishing a finite element model of the bridge construction facility according to design drawings or three-dimensional scanning data;

[0014] S22: Deploying a finite element calculation program supporting the calculation of the measured mechanical response value on a cloud platform, and obtaining finite element input information through the cloud platform; the finite element input information includes load information, boundary condition information, model geometry information, etc. for finite element model updating calculation;

[0015] S23: Calling the finite element calculation program to perform real-time calculation on the mechanical response of each structural measurement point in the updated finite element model, to obtain the real-time benchmark check value of each structural measurement point;

[0016] S24: Arranging the real-time benchmark check value of each structural measurement point in chronological order to form time sequence data.

[0017] Further, step S3 comprises the following steps:

[0018] S31: Real-time acquisition of the mechanical response value of each structural measurement point by a front-end data acquisition module;

[0019] S32: Calculating the deviation of the measured mechanical response value and the benchmark check value of each structural measurement point in the previous period of time;

[0020] S33: dynamically adjusting the up and down offset values of the reference check value according to the deviation calculation result; offsetting the reference check value upward and downward according to the offset values to generate the check upper limit and the check lower limit;

[0021] S34: storing the check upper limit and the check lower limit into the cloud database as the first layer dynamic threshold of the measured mechanical response value;

[0022] S35: setting the second layer static limit threshold according to the material properties of the structure at the measuring point and storing it into the cloud database.

[0023] Further, in step S33, the up and down offset values of the reference check value are dynamically adjusted according to the deviation calculation result; the reference check value is offset upward and downward according to the offset values to generate the check upper limit and the check lower limit, which includes:

[0024] S331: calculating the mean and standard deviation of the deviation;

[0025] S332: setting a threshold value according to experience; when the mean or standard deviation of the deviation exceeds the threshold value, it indicates that there is an error between the finite element model and the actual situation, and the finite element model is corrected; after the finite element model is corrected, when the mean or standard deviation of the deviation both satisfy the condition of being less than the threshold value, the next step is performed;

[0026] S333: adjusting the range coefficient of the check upper and lower limits according to the operating state and actual working condition of the facility, and then setting the check upper limit and the check lower limit;

[0027] In step S333, the check upper limit and the check lower limit are calculated by formula (4) and formula (5) respectively:

[0028] (4)

[0029] (5)

[0030] Wherein, is the range coefficient of the check upper and lower limits.

[0031] Further, in step S35, setting the second layer static limit threshold according to the material properties of the structure at the measuring point includes:

[0032] If the mechanical response value is stress, it is calculated according to formula (6) and formula (7), otherwise it is set according to experience;

[0033] (6)

[0034] (7)

[0035] Wherein, is the yield strength of the material at the measuring point, is the safety factor.

[0036] Furthermore, in step S4, based on the measured mechanical response value and the benchmark verification value of each structural measurement point and their corresponding time series, the average change rate of the measured mechanical response value and the benchmark verification value of each structural measurement point in the time series is calculated, including:

[0037] S41: Continuously collect the measured mechanical response values ​​of each structural measurement point in the time series, and mark them in chronological order. ;

[0038] S42: Synchronously obtain the benchmark calibration values ​​corresponding to each time point in the same time series ;

[0039] S43: Accurately record the time point corresponding to each data collection , ensuring the accurate correspondence between time and response value;

[0040] S44: Use the first-order difference method to calculate the previous data including the current time point The average change rate of the measured mechanical response value at each time point and the average change rate of the benchmark calibration value are calculated. The average rate of change is not calculated.

[0041] Furthermore, in step S44, the previous data of the current time point is included. The average change rate of the measured mechanical response value at each time point Calculated by formula (8):

[0042] (8)

[0043] in, and The current time point and the number before the current time point The index of the data at each time point; is the measured mechanical response value at the current time point; Before the current time point The measured mechanical response value at each time point; is the current time point; The number before the current time point time points;

[0044] Step S44 contains the previous data of the current time point The average rate of change of the baseline calibration value at each time point Calculated by formula (9):

[0045] (9);

[0046] wherein, is the reference check value at the current time point; is the reference check value at the time point before the current time point; is the reference check value at the time point before the current time point.

[0047] Further, in step S5, the mechanical response of each structural measurement point is graded and alarm-prompted according to the magnitude of the measured mechanical response value and the average change rate thereof in the time sequence; including:

[0048] If the measured mechanical response value is within the upper and lower limits of the check, and the absolute deviation of the average change rate of the measured mechanical response value and the reference check value in the time sequence is not more than a given value, it is prompted that the mechanical response of the structural measurement point is normal, and the measurement point is safe.

[0049] If the measured mechanical response value is within the upper and lower limits of the check, and the absolute deviation of the average change rate of the measured mechanical response value and the reference check value in the time sequence is greater than the given value, according to whether the response value fluctuates in the time sequence, it is alarm-prompted that there is abnormal vibration or load mutation near the measurement point, and the risk level is low.

[0050] If the measured mechanical response value is outside the upper and lower limits of the check and within the second layer static limit threshold, and the absolute deviation of the average change rate of the measured mechanical response value and the reference check value in the time sequence is not more than a given value, it is alarm-prompted that the range coefficient of the upper and lower limits of the check is not appropriate, and the value of the range coefficient of the upper and lower limits of the check needs to be appropriately increased and the range of the dynamic upper limit and the lower limit of the check is updated, and the risk level is low.

[0051] If the measured mechanical response value is outside the upper and lower limits of the check and within the second layer static limit threshold, and the absolute deviation of the average change rate of the measured mechanical response value and the reference check value in the time sequence is greater than the given value, according to whether the response value fluctuates in the time sequence, it is alarm-prompted that there may be abnormal vibration or load mutation near the measurement point, and at the same time it is prompted that the measured mechanical response value exceeds the first layer dynamic check threshold, and the risk level is medium.

[0052] If the measured mechanical response value is stress and is outside the upper and lower limits of the check and within the second layer static limit threshold, and the absolute value of the stress is very small or even 0, it is alarm-prompted that there may be a danger of support suspension near the measurement point, and at the same time it is prompted that the measured mechanical response value exceeds the first layer dynamic check threshold, and the risk level is medium.

[0053] If the measured mechanical response value is outside the second layer static limit threshold, it is alarm-prompted that the measured mechanical response value of the measurement point exceeds the second layer static limit threshold, and there may be dangerous situations such as structural damage, structural instability, overturning, etc. near the measurement point, and the risk level is high.

[0054] Further, according to the alarm conditions of each structural measuring point in step S6, the operation condition of the bridge construction facility is judged, including:

[0055] If the mechanical response conditions of all structural measuring points are normal, it is prompted that the operation state of the bridge construction facility is safe;

[0056] If only the structural measuring point alarm prompts low risk, it is prompted that the operation state of the bridge construction facility is basically safe, and there may be slight abnormal vibration or load mutation;

[0057] If there are 1-2 structural measuring points alarm prompts medium risk, it is prompted that the operation state of the bridge construction facility is safe to be determined, and it is suggested to check whether the sensor at the measuring point fails or the upper and lower limit setting range is reasonable, if both are excluded, the management personnel is continuously prompted to pay attention to data changes until the medium risk is removed;

[0058] If more than 2 structural measuring points alarm prompts medium risk or high risk, it is prompted that the operation state of the bridge construction facility is unsafe, and the construction facility needs to be immediately stopped for inspection, and according to the alarm conditions of each structural measuring point, it is respectively judged that the construction facility may be in one or more risk conditions of abnormal vibration, load mutation, support suspension, structure damage, structure instability and overturning.

[0059] The second aspect of the application provides a bridge construction facility safety monitoring system based on finite element real-time verification, which is used to realize the bridge construction facility safety monitoring method based on finite element real-time verification, and includes a front-end data acquisition module, a data transmission and storage module, a cloud finite element calculation module, a multi-level threshold generation module, an average change rate calculation module, an alarm prompt module and a facility state judgment module.

[0060] The front-end data acquisition module includes strain gauges, displacement sensors, acceleration sensors and inclination sensors for real-time acquisition of mechanical response data of the bridge construction facility, and monitoring cameras for capturing the operation state of the facility and the field environment, and assisting in analyzing the operation condition of the facility.

[0061] The data transmission and storage module includes a data transmission network and a data storage unit; the data transmission network is used for transmitting the real-time mechanical response data of each structural measuring point of the bridge construction facility to the cloud finite element calculation module, and transmitting the calculation results, alarm information and the like to relevant staff or other management systems; the data storage unit is used for storing the benchmark verification values obtained by the finite element calculation, the generated dynamic threshold and static limit threshold, the real-time measurement data of each measuring point and alarm records and the like information;

[0062] The cloud finite element calculation module comprises a finite element online calculation program integrated in the cloud, which is used for real-time calculation of the mechanical response of each structural measurement point of the bridge construction facility, so as to obtain a real-time finite element mechanical response value of each structural measurement point, that is, a benchmark calibration value of the measured mechanical response value;

[0063] The multi-level threshold generation module generates an upper limit and a lower limit of calibration as the first layer of dynamic threshold values of the measured mechanical response value by upward and downward offset processing of the benchmark calibration value according to the measured mechanical response value on site and in combination with an empirical algorithm; and the second layer of static limit threshold values are set according to the structural material properties at the measurement points.

[0064] The average change rate calculation module is used for calculating the average change rate of the measured mechanical response value and the benchmark calibration value of each structural measurement point on the time sequence according to the measured mechanical response value and the benchmark calibration value of each structural measurement point and the respective time sequence.

[0065] The alarm prompt module is used for grading alarm prompt of the mechanical response of each structural measurement point according to the measured mechanical response value of each structural measurement point, the average change rate of the measured mechanical response value and the benchmark calibration value on the time sequence, the first layer of dynamic calibration threshold values and the second layer of static limit threshold values.

[0066] The facility state judgment module is used for judging the operation state of the bridge construction facility according to the alarm state of each structural measurement point.

[0067] Overall, compared with the prior art, the above technical solutions conceived by the present application can achieve the following beneficial effects:

[0068] (1) The bridge construction facility safety monitoring method and system based on finite element real-time calibration can deploy the finite element calculation program on the cloud platform and utilize the powerful computing capacity of cloud computing to perform real-time calculation of the mechanical response of each structural measurement point, so as to obtain real-time benchmark calibration values. This real-time calculation can provide a reference benchmark for subsequent threshold calibration and alarm in a timely manner, effectively monitoring the mechanical property change of the facility; the introduction of the benchmark calibration value of the measured mechanical response value calculated by the finite element online real-time calculation on the basis of the traditional sensor monitoring, in combination with the dynamic calibration of the measured mechanical response value, can timely discover the abnormal state of the bridge construction facility in the case of low structural stress or displacement level, and significantly improve the perception ability of the monitoring system to potential dangers. This real-time calibration mechanism can effectively identify the stress or displacement abnormality, abnormal vibration, load mutation and other risks of the structural measurement point, thereby providing the possibility of discovering safety hazards in advance.

[0069] (2) The bridge construction facility safety monitoring method and system based on finite element real-time verification of the present application can set an offset value in combination with the actual working conditions on site to form a first layer of dynamic threshold value through big data analysis of the measured mechanical response values of similar past projects. This threshold value can be dynamically adjusted according to real-time changes on site to adapt to different working environments and facility states. At the same time, a second layer of static limit threshold value is set according to the structural material properties at the measuring points to provide double protection for facility safety; by setting the upper and lower limits of the verification and combining the real-time change rate of the measured mechanical response value, each structural measuring point can be accurately and real-timely verified; the mechanical response of each structural measuring point is graded and alarmed according to the deviation of the measured mechanical response value and the benchmark verification value, the average change rate and the threshold value. This grading alarm mechanism can more accurately reflect the abnormal conditions of the facility, from low-risk abnormal vibration or load mutation warning to high-risk structural damage, overturning and other dangerous situation alarms, so that the management personnel can take corresponding measures according to different risk levels.

[0070] (3) The bridge construction facility safety monitoring method and system based on finite element real-time verification of the present application can comprehensively analyze the alarm conditions of multiple structural measuring points to more comprehensively judge the running state of the bridge construction facility. From the normal condition of all measuring points to prompt the safety of facility operation, to the existence of different number of measuring points to prompt different degrees of risk, the facility maintenance and management can be provided with comprehensive and accurate state information. When multiple measuring points alarm at the same time, the system can accurately judge the possible risk type (such as abnormal vibration, load mutation, overturning and emptying, etc.) of the facility according to the alarm type and distribution, so as to provide more reliable decision basis for the safe operation of the facility. This multi-level alarm mechanism significantly improves the accuracy and reliability of the alarm, avoiding the false alarm or missed alarm problems that may be caused by the traditional fixed threshold alarm method. It is helpful to timely discover and handle the facility failure and ensure the safe operation of the bridge construction facility.

[0071] (4) The bridge construction facility safety monitoring method and system based on finite element real-time verification of the present application can issue an early warning when the facility running state appears slightly abnormal through real-time verification and comprehensive judgment, avoiding the situation that the traditional method only alarms when the structural stress is over limit. This early warning mechanism can effectively reduce the number of facility shutdown inspections due to false alarms or slight abnormalities, improving the utilization rate and construction efficiency of the facility.

[0072] (5) The bridge construction facility safety monitoring method and system based on finite element real-time verification of the present application is suitable for most bridge construction facilities and has a wide range of applications; through finite element online calculation and dynamic verification value setting, the system can adapt to the structural characteristics and working environment of different facilities, and has strong universality and adaptability. BRIEF DESCRIPTION OF DRAWINGS

[0073] Figure 1 A flowchart of a bridge construction facility safety monitoring method based on finite element real-time verification according to an embodiment of the present application is shown in FIG. 1.

[0074] Figure 2 A schematic diagram of the principle of the change of the measured mechanical response value of the structure measuring point, the first layer dynamic threshold value and the second layer static limit threshold value with time in the bridge construction facility safety monitoring method based on finite element real-time verification according to an embodiment of the present application is shown in FIG. 2.

[0075] Figure 3 A schematic diagram of the structure measuring point real-time verification and comprehensive risk discrimination in the bridge construction facility safety monitoring method based on finite element real-time verification according to an embodiment of the present application is shown in FIG. 3.

[0076] Figure 4 A schematic diagram of the discrimination result of two historical time points of a key measuring point of a certain large temporary facility in the bridge construction facility safety monitoring method based on finite element real-time verification according to an embodiment of the present application is shown in FIG. 4.

[0077] Figure 5 A structural schematic diagram of a bridge construction facility safety monitoring system based on finite element real-time verification according to an embodiment of the present application is shown in FIG. 5.

[0078] Figure 6 A structural schematic diagram of an electronic facility according to an embodiment of the present application is shown in FIG. 6. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0080] As shown in FIG. 1, one aspect of the present application provides a bridge construction facility safety monitoring method based on finite element real-time verification, mainly used for safety monitoring during construction of bridge temporary facilities and hoisting equipment, comprising the following steps: Figure 1 S1: Real-time acquisition of the measured mechanical response value of each structure measuring point of the bridge construction facility by the front-end data acquisition module, and transmission to the cloud platform;

[0081] S2: Real-time calculation of the mechanical response of each structure measuring point of the bridge construction facility by the finite element online calculation program deployed on the cloud platform, to obtain the real-time finite element mechanical response value of each structure measuring point, i.e. the benchmark verification value of the measured mechanical response value;

[0082]

[0083] ​S3: Set the upper limit and lower limit of the check according to the relationship between the reference check value and the measured mechanical response value, as the first layer dynamic threshold of the measured mechanical response value; set the second layer static limit threshold according to the material properties of the structure at the measurement point;

[0084] S4: According to the measured mechanical response value and the reference check value of each structure measurement point and the corresponding time sequence, respectively, calculate the average change rate of the measured mechanical response value and the reference check value of each structure measurement point in the time sequence;

[0085] S5: According to the measured mechanical response value of each structure measurement point, the average change rate of the measured mechanical response value and the reference check value in the time sequence, the first layer dynamic check threshold and the second layer static limit threshold, the mechanical response of each structure measurement point is classified and alarm prompt;

[0086] S6: According to the alarm situation of each structure measurement point, judge the operation situation of bridge construction facilities.

[0087] Further, the step S1 described by the front-end data acquisition module real-time acquisition of each structure measurement point of bridge construction facilities measured mechanical response value, and transmission to the cloud platform; including:

[0088] S11: Sensor deployment and data acquisition:

[0089] Deploy mechanical sensors (such as strain sensors, displacement sensors, acceleration sensors, etc.) at key structure measurement points (such as stress concentration areas, displacement sensitive areas, etc.) of bridge construction facilities; ensure that the sensor installation position is accurate and can truly reflect the mechanical response of the structure;

[0090] Real-time acquisition of mechanical response values (such as stress, strain, displacement, vibration acceleration, etc.) of each structure measurement point by mechanical sensors; the data acquisition frequency is set according to the facility operation state and monitoring requirements, usually high-frequency sampling (such as multiple samples per second);

[0091] S12: Data preprocessing:

[0092] Filter the collected raw data to remove noise interference (such as environmental vibration, electromagnetic interference, etc.); use digital filtering algorithm (such as low-pass filtering, Kalman filtering) to improve data quality; convert the collected mechanical response values into a unified standardized format (such as JSON, CSV, etc.) for subsequent transmission and processing; mark the data with a time stamp to ensure the time synchronization of the data;

[0093] S13: Data transmission

[0094] Local data transmission: Pre-processed data is transmitted to local data collection terminals (such as edge computing facilities or gateways) through wired (such as RS485, Ethernet) or wireless (such as Wi-Fi, LoRa, ZigBee) communication methods;

[0095] Data upload to cloud platform:

[0096] Local data collection terminals transmit data to the cloud platform through the Internet (such as 4G / 5G, optical fiber);

[0097] Adopting secure communication protocols (such as MQTT, HTTPS) to ensure the reliability and security of data transmission;

[0098] Compress and encrypt the transmitted data to reduce bandwidth occupation and prevent data leakage;

[0099] Cloud platform data reception and storage

[0100] Data reception: The cloud platform receives the mechanical response data uploaded by the front-end facilities through API interfaces or message queues (such as Kafka, RabbitMQ); verifies the received data to ensure data integrity and accuracy;

[0101] Data storage: Store the received mechanical response data in the cloud database (such as time series database InfluxDB, relational database MySQL); classify and store the data, and establish indexes according to facility ID, measurement point ID, timestamp, etc. dimensions, to facilitate subsequent query and analysis.

[0102] Further, the step S2 comprises:

[0103] S21: Establish a finite element model of the bridge construction facility according to the design drawings or three-dimensional scanning data; specifically including:

[0104] Geometric modeling: According to the design drawings or three-dimensional scanning data of the bridge construction facility, a geometric model is established in the finite element analysis software; simplify the model, remove unnecessary details, and ensure calculation efficiency;

[0105] Material property definition:

[0106] Define material properties (such as elastic modulus, Poisson's ratio, density, etc.) for each component in the model; material properties are set according to actual material parameters;

[0107] Section property definition:

[0108] Define cross-sectional properties for each element in the model (e.g., channel steel, I-beam cross-section, etc.); cross-sectional properties are set based on the actual cross-sectional parameters used;

[0109] Boundary conditions and load settings:

[0110] Set boundary conditions (such as fixed support, articulated support, etc.) according to the actual working status of the facility;

[0111] Applied load conditions (such as gravity, wind load, facility operation load, etc.);

[0112] S22: Deploy a finite element calculation program that supports the calculation of measured mechanical response values ​​on a cloud platform, and obtain finite element input information through the cloud platform; the finite element input information, including load information, boundary condition information, model geometry information, etc., is used for finite element model update calculations; pre-process the data to ensure that the data format is consistent with the input requirements of the finite element calculation program; dynamically update the loads and boundary conditions in the finite element model based on the finite element input information obtained in real time;

[0113] S23: Calling the finite element calculation program to perform real-time calculation of the mechanical response of each structural measurement point in the updated finite element model to obtain a real-time benchmark calibration value for each structural measurement point; specifically,

[0114] Call the finite element calculation program to calculate the mechanical response value (such as stress, strain, displacement, etc.) of each structural measurement point; extract the mechanical response value of each structural measurement point from the calculation results; store the calculation results in the cloud database for subsequent analysis and use;

[0115] S24: Arrange the real-time benchmark calibration values ​​of each structural measurement point in chronological order to form time series data;

[0116] The generated real-time benchmark check values ​​are stored in the cloud database as a reference for subsequent dynamic threshold generation and anomaly detection.

[0117] Furthermore, in step S3, the upper and lower offset values ​​of the benchmark calibration value are dynamically adjusted according to the measured mechanical response value of each structural measuring point of the bridge construction facility, so as to form a calibration upper limit and a calibration lower limit of the measured mechanical response value of each structural measuring point, which serve as the first-level dynamic threshold value of the measured mechanical response value; the second-level static limit threshold is set according to the structural material properties at the measuring point; specifically, for each structural measuring point, combined with the actual working conditions on site, the measured mechanical response values ​​of similar projects in the past are analyzed through big data, the offset value is reasonably set in the algorithm, and the scientific and reasonable calibration upper limit and calibration lower limit are automatically calculated and formed. The calibration upper limit and calibration lower limit of the measured mechanical response value of each structural measuring point can be dynamically adjusted according to real-time changes on site, serving as the first-level dynamic threshold value of the measured mechanical response value, and the second-level static limit threshold is set according to the structural material properties at the measuring point.

[0118] Further, step S3 comprises:

[0119] S31: Real-time acquisition of the mechanical response value (such as stress, strain, displacement, etc.) of each structural measuring point by the front-end data acquisition module; ensuring that the data acquisition frequency is consistent with the time resolution of the reference check value; filtering and denoising the acquired measured mechanical response value to remove abnormal values and noise interference; time stamping the data to ensure time synchronization with the reference check value;

[0120] S32: Calculate the deviation of the measured mechanical response value of each structural measuring point from the reference check value within a certain period of time (10 minutes); represented by equation (1):

[0121] Deviation = measured value - reference check value (1)

[0122] S33: Dynamically adjust the upper and lower offset values of the reference check value according to the deviation calculation result; offset the reference check value upward and downward according to the offset value to generate the upper and lower check limits; specifically including:

[0123] S331: Calculate the mean value of the deviation and the standard deviation ; represented by equations (2) and (3) respectively:

[0124] (2)

[0125] (3)

[0126] S332: Set a threshold value based on experience; when the mean value or standard deviation of the deviation exceeds the threshold value, it indicates that there is an error between the finite element model and the actual situation, and the finite element model needs to be corrected; after correcting the finite element model, when the mean value or standard deviation of the deviation is less than the threshold value, proceed to the next step;

[0127] S333: Adjust the range coefficient of the upper and lower check limits according to the operating state and actual working condition of the facility, and then set the upper and lower check limits; the upper and lower check limits are calculated by equations (4) and (5) respectively:

[0128] (4)

[0129] (5)

[0130] wherein, is the range coefficient of the upper and lower check limits, which determines the range between the upper and lower check limits;

[0131] If the operating state of the facility is relatively stable at some time points, the range coefficient of the upper and lower check limits can be set to 1, that is, Set to 2; if the running state of the facility at some time points is complex, it can be set to 3 to ensure that the upper and lower limit thresholds are reasonable under different working conditions, reducing the number of false alarms;

[0132] S34: Store the upper and lower limit thresholds in the cloud database as the first layer of dynamic thresholds of the measured mechanical response values;

[0133] S35: Set the second layer of static limit thresholds according to the material properties of the structure at the measurement point and store them in the cloud database;

[0134] In step S35, setting the second layer of static limit thresholds according to the material properties of the structure at the measurement point includes:

[0135] If the mechanical response value is stress, it is calculated according to formula (6) and formula (7), otherwise it is set according to experience;

[0136] (6)

[0137] (7)

[0138] wherein, is the yield strength of the material at the measurement point, is the safety factor, generally taken as 2-3.

[0139] Further, in step S4, the average change rate of the measured mechanical response value and the reference check value of each structure measurement point in the time sequence is calculated according to the measured mechanical response value and the reference check value of each structure measurement point and the respective time sequence, including:

[0140] S41: Continuously collect the measured mechanical response values of each structure measurement point in the time sequence, and mark them in chronological order as ;

[0141] S42: Synchronously acquire the reference check values corresponding to each time point under the same time sequence ;

[0142] S43: Accurately record the time point corresponding to each data collection , to ensure the accurate correspondence between time and response value;

[0143] S44: Calculate the average change rate of the measured mechanical response value of the previous time points containing the current time point data, the average change rate of the reference check value, when the data collection is not full , do not calculate the average change rate;

[0144] Further, in step S44, the previous The average change rate of the measured mechanical response value at each time point Calculated by formula (8):

[0145] (8)

[0146] in, and The current time point and the number before the current time point The index of the data at each time point; is the measured mechanical response value at the current time point; Before the current time point The measured mechanical response value at each time point; is the current time point; The number before the current time point time points;

[0147] Generally small value, such as the initial The data can be ignored;

[0148] Formula (8) reflects the measured mechanical response value in The average change per unit time is used to measure the speed of change of the measured mechanical response value;

[0149] Step S44 contains the previous data of the current time point The average rate of change of the baseline calibration value at each time point Calculated by formula (9):

[0150] (8);

[0151] in, is the benchmark value at the current time point; Before the current time point The benchmark value at each time point;

[0152] Formula (9) is used to measure the speed of change of the benchmark calibration value.

[0153] Further, Figure 2 Schematic diagram of the principle of how the measured mechanical response value of the structural measurement point, the first-layer dynamic threshold, and the second-layer static limit threshold change with time; Figure 3 Schematic diagram for real-time verification and comprehensive risk identification of structural measurement points;

[0154] In step S5, a graded alarm is given to the mechanical response of each structural measuring point based on the measured mechanical response value of each structural measuring point, the average change rate of the mechanical response value and the benchmark verification value in the time series, the first-level dynamic verification threshold and the second-level static limit threshold; the step includes:

[0155] If the measured mechanical response value is within the upper and lower limits of the calibration (the upper and lower limits of the calibration refer to the curve formed by connecting the upper and lower limits of each structural measurement point and the curve formed by connecting the two curves), and the absolute value of the average change rate of the measured mechanical response value and the benchmark calibration value in the time series does not exceed the given value (Right now, , given value According to the experience setting), it indicates that the mechanical response of the structural measuring point is normal and the measuring point is safe;

[0156] If the measured mechanical response value is within the upper and lower limits of the calibration, and the absolute value of the absolute deviation of the average change rate of the measured mechanical response value and the benchmark calibration value in the time series is greater than the given value (Right now ), based on whether the response value fluctuates in the time series, an alarm will be issued to indicate that there may be abnormal vibration or sudden load change near the measuring point, and the risk level is low;

[0157] The measured mechanical response value is outside the upper and lower limits of the calibration (outside the upper and lower limits of the calibration refers to the area between the curve formed by connecting the upper and lower limits of each structural measurement point and the curve formed by connecting the two curves) and within the second-level static limit threshold (referring to the area between the maximum limit threshold and the minimum limit threshold of the second-level static limit threshold), and the absolute value of the absolute deviation of the average rate of change of the measured mechanical response value and the benchmark calibration value in the time series does not exceed the given value , then the alarm prompts that the measuring point may be the range coefficient of the upper and lower limits of the calibration The value of is not appropriate and needs to be increased appropriately The value is set and the range of the dynamic verification upper limit and the verification lower limit is updated. The risk level is low.

[0158] like Figure 4 As shown, set When the measuring point is at the same time, two historical moments will give an alarm prompt: "There may be a sudden change in load near the measuring point, and the risk level is low risk";

[0159] The measured mechanical response value is outside the upper and lower limits of the calibration and within the second-level static limit threshold, and the absolute value of the absolute deviation of the average change rate of the measured mechanical response value and the benchmark calibration value in the time series is greater than the given value , based on whether the response value fluctuates in the time series, an alarm will be issued to indicate that there may be abnormal vibration or load mutation near the measuring point, and at the same time, it will be prompted that the measured mechanical response value exceeds the first-level dynamic verification threshold, and the risk level is medium risk;

[0160] If the measured mechanical response value is stress and is outside the check upper and lower limits and within the second layer static limit threshold, and the absolute value of the stress is very small or even 0, an alarm is prompted that there may be a danger of support suspension near the measurement point, and at the same time it is prompted that the measured mechanical response value exceeds the first layer dynamic check threshold, and the risk level is medium risk;

[0161] If the measured mechanical response value is outside the second layer static limit threshold, an alarm is prompted that the measured mechanical response value of the measurement point exceeds the second layer static limit threshold, and there may be a dangerous situation such as structure damage, structure instability, overturning near the measurement point, and the risk level is high risk.

[0162] Further, in step S6, the operation of the bridge construction facility is judged according to the alarm situation of each structure measurement point, including:

[0163] If the mechanical response of all structure measurement points is normal, it is prompted that the operation state of the bridge construction facility is safe;

[0164] If there is only a low-risk alarm prompt of the structure measurement point, it is prompted that the operation state of the bridge construction facility is basically safe, and there may be slight abnormal vibration or load mutation;

[0165] If 1-2 structure measurement points alarm medium risk, it is prompted that the operation state of the bridge construction facility is safe to be determined, and it is suggested to check whether the sensor at the measurement point fails or the check upper and lower limit setting range is reasonable, if both are excluded, the management personnel is continuously prompted to pay attention to data changes until the medium risk is removed;

[0166] If more than 2 structure measurement points alarm medium risk or high risk, it is prompted that the operation state of the bridge construction facility is unsafe, and immediate shutdown inspection of the construction facility is required, and according to the alarm situation of each structure measurement point, it is respectively judged that the construction facility may be in one or more of the risk situations of abnormal vibration, load mutation, support suspension, structure damage, structure instability, and overturning.

[0167] The bridge construction facility safety monitoring method based on finite element real-time checking provided by the application can solve the problem of insufficient danger perception of the bridge construction facility safety monitoring system under the condition of low stress or displacement level of the bridge construction facility in the bridge construction site. A complete bridge construction facility safety monitoring method is designed from the aspects of finite element online calculation, setting of check upper and lower limits, and characteristics of the measured mechanical response value, so as to greatly improve the danger perception ability of the monitoring system to the bridge construction facility on site, bring the possibility of finding safety hazards in advance, and be applicable to most bridge construction facilities, and has a wide application range.

[0168] For example, Figure 5As shown, the second aspect of the application provides a bridge construction facility safety monitoring system based on real-time finite element verification, which is used to realize the above monitoring method, and comprises a front-end data acquisition module, a data transmission and storage module, a cloud-based finite element calculation module, a multi-level threshold generation module, an average change rate calculation module, an alarm prompt module and a facility state judgment module.

[0169] The front-end data acquisition module comprises strain gauges, displacement sensors, acceleration sensors and inclination sensors for real-time acquisition of the mechanical response data of the bridge construction facility, and monitoring cameras for capturing the operation state of the facility and the field environment, and assisting in analyzing the operation of the facility.

[0170] The data transmission and storage module comprises a data transmission network and a data storage unit; the data transmission network is used to transmit the real-time mechanical response data of each structural measuring point of the bridge construction facility to the cloud-based finite element calculation module through communication technologies such as 5G, 4G or NB-IoT, and to transmit the calculation results, alarm information and the like to relevant personnel or other management systems; the data storage unit is used to store the benchmark verification values obtained by finite element calculation, the generated dynamic threshold values and static limit threshold values, the real-time measurement data of each measuring point, and alarm records and the like information, facilitating subsequent data query, analysis and historical tracing;

[0171] The cloud-based finite element calculation module comprises an online finite element calculation program integrated in the cloud, which is used to perform real-time calculation on the mechanical response of each structural measuring point of the bridge construction facility to obtain the real-time finite element mechanical response value of each structural measuring point, i.e. the benchmark verification value of the measured mechanical response value; this module relies on the powerful computing capacity of the cloud to ensure efficient and accurate completion of complex mechanical calculation tasks, providing basic data support for subsequent monitoring and analysis;

[0172] The multi-level threshold generation module performs upward and downward offset processing on the benchmark verification value according to the measured mechanical response value on site, combines with an experience algorithm, automatically generates the upper limit and lower limit of the verification, and uses them as the first layer of dynamic threshold values of the measured mechanical response value; the second layer of static limit threshold values are set according to the structural material properties at the measuring points; this module can flexibly adjust the threshold values according to different facility operation conditions and environmental conditions, improving the adaptability and accuracy of the monitoring system;

[0173] The average change rate calculation module is used to calculate the average change rate of the measured mechanical response value and the benchmark verification value of each structural measuring point on the time sequence according to the measured mechanical response value and the benchmark verification value of each structural measuring point and the respective time sequence; by analyzing the change rate, it is determined whether the facility has abnormal conditions;

[0174] Specifically, the average change rate calculation module obtains the real-time measurement response value of each structural measurement point and the generated upper and lower limits of the check, respectively calculates the real-time change rate of the measured mechanical response value of each measurement point containing the data of the previous time point and the reference check value at the current time point, and judges whether the facility has abnormal conditions such as abnormal vibration and load mutation through the analysis of the change rate. m

[0175] The alarm prompt module is used for grading alarm prompt of the mechanical response of each structural measurement point according to the measured mechanical response value of each structural measurement point, the average change rate of the measured mechanical response value and the reference check value in the time sequence, the first layer dynamic check threshold and the second layer static limit threshold; specifically, according to the relationship between the measured mechanical response value and the two layer thresholds and the result of the average change rate calculation module, the alarm prompt is performed according to the preset alarm rule, and multiple alarm prompts can be broadcasted at the same time, so that the workers can know the abnormal conditions of the facility in time.

[0176] The facility state judgment module is used for judging the operation state of the bridge construction facility according to the alarm conditions of each structural measurement point; the facility state judgment module comprehensively judges the operation state of the facility according to the alarm conditions of each structural measurement point; if the mechanical response of all measurement points is normal, it is determined that the operation state of the facility is safe.

[0177] The bridge construction facility safety monitoring system based on finite element real-time check can realize real-time monitoring, dynamic check and intelligent alarm of the operation state of the facility, and effectively improves the safety management level of the construction site.

[0178] It should be noted that the bridge construction facility safety monitoring system based on finite element real-time check provided in the embodiment can be a computer program (including program code) running in a computer facility, for example, the bridge construction facility safety monitoring system based on finite element real-time check is an application software; the bridge construction facility safety monitoring system based on finite element real-time check can be used to execute the corresponding steps in the above method provided in the embodiment.

[0179] ​In some possible implementation manners, the bridge construction facility safety monitoring system based on finite element real-time checking provided in the embodiment can be implemented in a combination of software and hardware. For example, the bridge construction facility safety monitoring system based on finite element real-time checking provided in the embodiment can be a hardware decoding processor programmed to execute the bridge construction facility safety monitoring method based on finite element real-time checking provided in the embodiment. For example, the hardware decoding processor can be one or more of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a programmable logic device (PLD), a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), or other electronic elements.

[0180] In some possible implementation manners, the bridge construction facility safety monitoring system based on finite element real-time checking provided in the embodiment can be implemented in a software manner. The software can be in the form of a program or a plug-in and include a series of modules to implement the bridge construction facility safety monitoring method based on finite element real-time checking provided in the embodiment.

[0181] The bridge construction facility safety monitoring system based on finite element real-time checking provided in the embodiment can monitor the mechanical response of the bridge construction facility in real time through finite element calculation and dynamic threshold adjustment, and prompt the operation state of the facility according to different alarm conditions. The system can effectively improve the accuracy, reliability, and applicability of the bridge construction facility safety monitoring in the bridge construction site through finite element online calculation, multi-level threshold dynamic checking, and a multi-level alarm mechanism, and can discover potential safety hazards in time especially at a low stress or displacement level. The system provides strong technical support for the safety management of the bridge construction site.

[0182] The third aspect of the application further provides an electronic facility, Figure 6 is a structural schematic diagram of the electronic facility of the embodiment, like Figure 6As shown, the electronic facility 1000 in the embodiment can include a processor 1001, a network interface 1004 and a memory 1005, in addition, the above-mentioned electronic facility 1000 can also include a user interface 1003, and at least one communication bus 1002. Wherein, the communication bus 1002 is used to realize the connection communication between the components. Wherein, the user interface 1003 can include a display screen (Display), a keyboard (Keyboard), and the optional user interface 1003 can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a non-volatile memory, for example, at least one disk storage. The memory 1005 can also be at least one storage device located away from the aforementioned processor 1001. As Figure 6 As shown, the memory 1005 as a computer readable storage medium can include an operating system, a network communication module, a user interface module and a facility control application.

[0183] As shown, the electronic facility 1000, the network interface 1004 can provide network communication function; and the user interface 1003 is mainly used for providing the interface for the user to input; and the processor 1001 can be used to call the facility control application stored in the memory 1005, to realize: Figure 6

[0184] Real-time acquisition of each structural measurement point of the bridge construction facility The measured mechanical response value is transmitted to the cloud platform;

[0185] Through the finite element online calculation program deployed in the cloud platform, the mechanical response of each structural measurement point of the bridge construction facility is calculated in real time, and the real-time finite element mechanical response value of each structural measurement point, that is, the benchmark check value of the measured mechanical response value, is obtained;

[0186] According to the relationship between the benchmark check value and the measured mechanical response value, the check upper limit and the check lower limit are set as the first layer dynamic threshold value of the measured mechanical response value; and the second layer static limit threshold value is set according to the structural material properties at the measurement point;

[0187] According to the measured mechanical response value and the benchmark check value of each structural measurement point and the respective time sequence, the average change rate of the measured mechanical response value and the benchmark check value of each structural measurement point on the time sequence is calculated respectively;

[0188] According to the measured mechanical response value of each structural measurement point, the average change rate of the measured mechanical response value and the benchmark check value on the time sequence, the first layer dynamic check threshold value and the second layer static limit threshold value, the mechanical response of each structural measurement point is classified and alarmed; ​

[0189] According to the alarm conditions of each structural measuring point, the operation condition of the bridge construction facility is judged.

[0190] It should be understood that in some possible implementations, the above processor 1001 can be a central processing unit (CPU), and the processor can also be other general-purpose processors, DSPs, ASICs, FPGAs, or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The memory can include read-only memory and random access memory, and provide instructions and data for the processor. A part of the memory can also include non-volatile random access memory. For example, the memory can also store facility type information.

[0191] In a specific implementation, the electronic facility 1000 can execute the implementation manner provided by each step in the above method through various functional modules built therein. For details, refer to the implementation manner provided by each step, which will not be described here. Figure 1

[0192] The electronic facility provided in the embodiment can monitor the mechanical response condition of the bridge construction facility in real time through finite element calculation and dynamic threshold adjustment, and prompt the operation state of the facility according to different alarm conditions; through finite element online calculation, dynamic verification of multi-level thresholds, and a multi-level alarm mechanism, the accuracy, reliability, and applicability of safety monitoring of the bridge construction facility in the bridge construction site are effectively improved, potential safety hazards can be found in time especially at a low stress or displacement level; and strong technical support is provided for safety management of the bridge construction site.

[0193] The embodiment of the application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method provided by each step in the above method. For details, refer to the implementation manner provided by each step, which will not be described here. Figure 1

[0194] The computer readable storage medium provided in the embodiment can monitor the mechanical response condition of the bridge construction facility in real time through finite element calculation and dynamic threshold adjustment, and prompt the operation state of the facility according to different alarm conditions; through finite element online calculation, dynamic verification of multi-level thresholds, and a multi-level alarm mechanism, the accuracy, reliability, and applicability of safety monitoring of the bridge construction facility in the bridge construction site are effectively improved, potential safety hazards can be found in time especially at a low stress or displacement level; and strong technical support is provided for safety management of the bridge construction site.

[0195] ​​Any reference to storage, memory, database or other medium herein includes non-volatile and / or volatile storage. Non-volatile storage can include read-only memory (ROM), programmable ROM (PROM), electronically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile storage can include random-access memory (RAM), or external cache memory. By way of illustration, and not limitation, RAM is available in many forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM). The disclosure should make it clear that the scope of the application is not limited to the forms of storage set forth herein as these can vary.

[0196] Those skilled in the art will readily understand that the above description is only one implementation of the present application. Many modifications, enhancements, and alternatives will become apparent to those skilled in the art without departing from the spirit and scope of the present application.

Claims

1. A bridge construction facility safety monitoring method based on finite element real-time verification, characterized in that: The steps include: S1: The front-end data acquisition module collects the measured mechanical response values ​​of each structural measurement point of the bridge construction facility in real time and transmits them to the cloud platform; S2: Calculate the mechanical response of each structural measurement point of the bridge construction facility in real time using a finite element online calculation program deployed on a cloud platform to obtain a real-time finite element mechanical response value of each structural measurement point, i.e., a benchmark calibration value of the measured mechanical response value; S3: setting a calibration upper limit and a calibration lower limit based on the relationship between the benchmark calibration value and the measured mechanical response value as the first-level dynamic threshold of the measured mechanical response value; Set the second-level static limit threshold according to the structural material properties at the measuring point; S4: Calculate the average change rate of the measured mechanical response value and the benchmark verification value of each structural measurement point in the time series according to the measured mechanical response value and the benchmark verification value of each structural measurement point and their corresponding time series; S5: Provide graded alarm prompts for the mechanical response of each structural measurement point based on the measured mechanical response value of each structural measurement point, its average rate of change over the time series with the benchmark verification value, the first-level dynamic verification threshold, and the second-level static limit threshold; S6: Determine the operation status of the bridge construction facilities based on the alarm status of each structural measurement point.

2. The method for monitoring bridge construction facility safety based on finite element real-time verification according to claim 1 is characterized in that: Step S2 includes: S21: Establish a finite element model of the bridge construction facilities based on the design drawings or 3D scanning data; S22: Deploy a finite element calculation program that supports the calculation of measured mechanical response values ​​on a cloud platform, and obtain finite element input information through the cloud platform; the finite element input information includes load information, boundary condition information, and model geometry information, which is used for finite element model update calculations; S23: calling a finite element calculation program to perform real-time calculation of the mechanical response of each structural measurement point in the updated finite element model, and obtaining a real-time benchmark calibration value for each structural measurement point; S24: Arrange the real-time benchmark calibration value of each structural measurement point in chronological order to form time series data.

3. The method for monitoring bridge construction facility safety based on finite element real-time verification according to claim 1, characterized in that: Step S3 includes the following steps: S31: The mechanical response value of each structural measurement point is collected in real time through the front-end data acquisition module; S32: Calculate the deviation between the measured mechanical response value and the benchmark calibration value of each structural measurement point in the previous period; S33: Dynamically adjust the upper and lower offset values ​​of the benchmark calibration value according to the deviation calculation result; The reference check value is shifted upward and downward according to the shift value to generate a check upper limit and a check lower limit; S34: storing the upper and lower limits of the calibration in a cloud database as the first-level dynamic thresholds of the measured mechanical response value; S35: Setting the second-layer static limit threshold according to the structural material properties at the measuring point and storing it in the cloud database.

4. The method for monitoring bridge construction facility safety based on finite element real-time verification according to claim 3 is characterized in that: In step S33, the upper and lower offset values ​​of the reference calibration value are dynamically adjusted according to the deviation calculation result; The reference check value is shifted upward and downward according to the offset value to generate an upper check limit and a lower check limit, including: S331: Calculate the mean and standard deviation of the deviation; S332: Setting a threshold based on experience. When the mean or standard deviation of the deviation exceeds the threshold, it indicates that there is an error between the finite element model and the actual situation, and the finite element model is corrected. After the finite element model is corrected, if the mean or standard deviation of the deviation is less than the threshold, proceed to the next step. S333: Adjust the range coefficients of the upper and lower limits of the calibration according to the operating status and actual working conditions of the facility, and then set the upper and lower limits of the calibration; The upper and lower limits of the verification in step S333 are calculated by equations (4) and (5) respectively: （4） （5） in, It is the range coefficient of the upper and lower limits of the calibration.

5. The method for monitoring bridge construction facility safety based on finite element real-time verification according to claim 3 is characterized in that: In step S35, setting the second-layer static limit threshold according to the structural material properties at the measuring point includes: If the mechanical response value is stress, it is calculated according to formula (6) and formula (7), otherwise it is set according to experience; （6） （7） in, is the yield strength of the material at the measuring point, is the safety factor.

6. A bridge construction facility safety monitoring method based on finite element real-time verification according to any one of claims 1 to 5, characterized in that: In step S4, the average change rate of the measured mechanical response value and the benchmark verification value of each structural measurement point in the time series is calculated based on the measured mechanical response value and the benchmark verification value of each structural measurement point and their corresponding time series, including: S41: Continuously collect the measured mechanical response values ​​of each structural measurement point in the time series, and mark them in chronological order. ; S42: Synchronously obtain the benchmark calibration values ​​corresponding to each time point in the same time series ; S43: Accurately record the time point corresponding to each data collection , ensuring the accurate correspondence between time and response value; S44: Use the first-order difference method to calculate the previous data including the current time point The average change rate of the measured mechanical response value at each time point and the average change rate of the benchmark calibration value are calculated. The average rate of change is not calculated.

7. The method for monitoring bridge construction facility safety based on finite element real-time verification according to claim 6, characterized in that: Step S44 contains the previous data of the current time point The average change rate of the measured mechanical response value at each time point Calculated by formula (8): （8） in, and The current time point and the number before the current time point The index of the data at each time point; is the measured mechanical response value at the current time point; Before the current time point The measured mechanical response value at each time point; is the current time point; The number before the current time point time points; Step S44 contains the previous data of the current time point The average rate of change of the baseline calibration value at each time point Calculated by formula (9): (9)； in, is the benchmark value at the current time point; Before the current time point The benchmark value at a certain time point.

8. A method for monitoring bridge construction facility safety based on finite element real-time verification according to any one of claims 1 to 5 or 7, characterized in that: In step S5, a graded alarm is given to the mechanical response of each structural measuring point according to the magnitude of the measured mechanical response value of each structural measuring point and its average rate of change in time series; the step includes: If the measured mechanical response value is within the upper and lower limits of the calibration, and the absolute value of the absolute deviation of the average change rate of the measured mechanical response value and the benchmark calibration value in the time series does not exceed the given value, it indicates that the mechanical response of the structural measuring point is normal and the measuring point is safe; If the measured mechanical response value is within the upper and lower limits of the calibration, and the absolute value of the absolute deviation of the average change rate of the measured mechanical response value and the benchmark calibration value in the time series is greater than the given value, an alarm will be issued to indicate that there is abnormal vibration or sudden load change near the measuring point, and the risk level is low, depending on whether the response value fluctuates in the time series; If the measured mechanical response value is outside the upper and lower limits of the calibration and within the second-level static limit threshold, and the absolute value of the absolute deviation of the average rate of change of the measured mechanical response value and the benchmark calibration value in the time series does not exceed the given value, an alarm will be issued to prompt that the range coefficients of the upper and lower limits of the calibration point are not properly set. The range coefficients of the upper and lower limits of the calibration need to be appropriately increased and the ranges of the dynamic calibration upper and lower limits need to be updated. The risk level is low. The measured mechanical response value is outside the upper and lower limits of the calibration and within the second-level static limit threshold. In addition, the absolute value of the absolute deviation of the average rate of change of the measured mechanical response value and the benchmark calibration value in the time series is greater than the given value. Depending on whether the response value fluctuates in the time series, an alarm will be issued to indicate that abnormal vibration or sudden load change may exist near the measuring point. At the same time, it will be indicated that the measured mechanical response value exceeds the first-level dynamic calibration threshold. The risk level is medium risk. If the measured mechanical response value is stress and is outside the upper and lower limits of the calibration and within the second-level static limit threshold, and the absolute value of the stress is very small or even 0, an alarm will be issued to indicate that there may be a risk of overhanging supports near the measuring point. At the same time, the alarm will be prompted that the measured mechanical response value exceeds the first-level dynamic calibration threshold, and the risk level is medium. The measured mechanical response value is outside the second-layer static limit threshold. The alarm prompts that the measured mechanical response value of the measuring point exceeds the second-layer static limit threshold. There may be structural damage, structural instability, and overturning dangers near the measuring point. The risk level is high.

9. The method for safety monitoring of bridge construction facilities based on finite element real-time verification according to claim 8, characterized in that: In step S6, the operation status of the bridge construction facilities is judged according to the alarm status of each structural measurement point, including: If the mechanical responses of all structural measurement points are normal, it indicates that the bridge construction facilities are operating safely; If only the structural measurement point alarm indicates a low risk, it indicates that the operation status of the bridge construction facilities is basically safe, and there may be slight abnormal vibration or sudden load change; If one or two structural measurement points indicate a medium risk, the operating status of the bridge construction facilities is pending. It is recommended to check whether the sensors at the measurement points are faulty or whether the upper and lower limits are set appropriately. If both are eliminated, the management personnel will be prompted to pay attention to data changes until the medium risk is resolved. If more than two structural measurement points indicate medium risk or high risk, it indicates that the operation status of the bridge construction facilities is unsafe and the construction facilities need to be shut down and inspected immediately. Based on the alarm conditions of each structural measurement point, it can be judged that the construction facilities may be in one or more risk situations including abnormal vibration, sudden load change, suspended support, structural damage, structural instability, and overturning.

10. A bridge construction facility safety monitoring system based on finite element real-time verification, characterized in that: A method for implementing a bridge construction facility safety monitoring method based on finite element real-time verification according to any one of claims 1 to 9, comprising: a front-end data acquisition module, a data transmission and storage module, a cloud-based finite element calculation module, a multi-level threshold generation module, an average change rate calculation module, an alarm prompt module, and a facility status judgment module; The front-end data acquisition module includes strain gauges, displacement sensors, acceleration sensors, and inclination sensors for real-time acquisition of mechanical response data of bridge construction facilities, and monitoring cameras for capturing the operating status of the facilities and the on-site environment and assisting in analyzing the operating conditions of the facilities; The data transmission and storage module includes a data transmission network and a data storage unit; the data transmission network is used to transmit the real-time mechanical response data of each structural measurement point of the bridge construction facility to the cloud-based finite element calculation module, and transmit the calculation results and alarm information to relevant personnel or other management systems; the data storage unit is used to store the benchmark calibration value obtained by the finite element calculation, the generated dynamic threshold value and static limit threshold value, the real-time measurement data of each measurement point, and the alarm record information; The cloud-based finite element calculation module includes a finite element online calculation program integrated in the cloud, which is used to perform real-time calculations on the mechanical response of each structural measurement point of the bridge construction facility, and obtain a real-time finite element mechanical response value of each structural measurement point, i.e., a benchmark calibration value of the measured mechanical response value; The multi-level threshold generation module, based on the actual measured mechanical response value on site and combined with an empirical algorithm, performs upward and downward offset processing on the benchmark calibration value, automatically generates the calibration upper limit and calibration lower limit as the first-level dynamic threshold of the measured mechanical response value; and sets the second-level static limit threshold according to the structural material properties at the measuring point; The average change rate calculation module is used to calculate the average change rate of the measured mechanical response value and the benchmark verification value of each structural measurement point in the time series based on the measured mechanical response value and the benchmark verification value of each structural measurement point and their corresponding time series; The alarm prompt module is used to provide graded alarm prompts for the mechanical response of each structural measuring point based on the measured mechanical response value of each structural measuring point, the average change rate of the mechanical response value and the benchmark verification value in the time series, the first layer dynamic verification threshold and the second layer static limit threshold; The facility status judgment module is used to judge the operation status of the bridge construction facilities according to the alarm status of each structural measurement point.

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