A bridge rotation whole process three-dimensional visualization full field monitoring method and system

Abstract

The application provides a bridge swivel whole process three-dimensional visualization full field monitoring method and system, relates to bridge monitoring technical field, and the method comprises the following steps: obtaining the design parameters and construction plan of the bridge; generating a dynamic BIM bridge model according to the design parameters and construction plan; setting virtual sampling points at the virtual swivel key positions of the dynamic BIM bridge model, and setting actual sampling points at the swivel key positions of the swivel bridge; obtaining actual coordinate information of the actual sampling points in a preset coordinate system, and determining virtual coordinate information of the virtual sampling points in the preset coordinate system; obtaining construction environment data of a construction site; determining a construction safety coefficient according to the construction environment data, the construction plan, the actual coordinate information and the virtual coordinate information; obtaining working data of a hydraulic system; determining a hydraulic system stability coefficient; and determining a full field monitoring report. According to the application, the real-time performance and comprehensiveness of bridge swivel whole process monitoring can be improved.

Description

Technical Field

[0001] This invention relates to the field of bridge monitoring technology, and in particular to a three-dimensional visualization full-field monitoring method and system for the entire process of bridge rotation. Background Technology

[0002] In related technologies, bridge rotation monitoring mainly relies on sensor detection combined with manual inspection. That is, it mainly depends on human factors. Over-reliance on human factors may make it difficult to guarantee the timeliness and accuracy of data processing, resulting in poor real-time monitoring results and limited accuracy of monitoring results.

[0003] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0004] This invention provides a three-dimensional visualization full-field monitoring method and system for the entire process of bridge rotation, which can solve the technical problem that related technologies cannot guarantee the real-time performance and accuracy of monitoring results.

[0005] According to a first aspect of the present invention, a three-dimensional visualization full-field monitoring method for the entire process of bridge rotation is provided, comprising: acquiring the design parameters and construction plan of the bridge; generating a dynamic BIM bridge model based on the design parameters and the construction plan; setting virtual sampling points at virtual key rotation locations in the dynamic BIM bridge model, and setting actual sampling points at the key rotation locations of the rotating bridge; acquiring the actual coordinate information of the actual sampling points in a preset coordinate system at multiple moments in the monitoring period, and determining the virtual coordinate information of the virtual sampling points in the preset coordinate system based on the mapping relationship between the rotating bridge and the dynamic BIM bridge model, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the rotating bridge; acquiring construction environment data of the construction site at multiple moments in the monitoring period; determining a construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information; acquiring working data of the hydraulic system at multiple moments in the monitoring period; determining a hydraulic system stability factor based on the working data; and determining a full-field monitoring report based on the construction safety factor and the hydraulic system stability factor.

[0006] According to the present invention, determining the construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information includes: determining rainfall and wind data based on the construction environment data; determining the actual support coordinate information of the rotation support point based on the actual coordinate information; determining the actual monitoring coordinate information of the rotation monitoring point based on the actual coordinate information; determining the settlement safety factor based on the rainfall, the wind data, and the actual support coordinate information; determining the rotation safety factor based on the actual monitoring coordinate information and the virtual coordinate information; and determining the construction safety factor based on the settlement safety factor and the rotation safety factor.

[0007] According to the present invention, determining a settlement safety factor based on the rainfall, the wind data, and the actual support coordinate information includes: determining the wind force level and wind direction based on the wind data; determining the support point settlement of the rotation support point based on the actual support coordinate information; determining the distance between support points and the direction between support points based on the actual support coordinate information; determining a preset settlement difference threshold based on the distance between support points; determining the wind direction angle based on the wind direction and the direction between support points; and determining a settlement safety factor based on the support point settlement, the preset settlement difference threshold, the wind force level, the wind direction angle, and the rainfall.

[0008] According to the present invention, determining the settlement safety factor based on the settlement amount of the support point, the preset settlement difference threshold, the wind force level, the wind direction angle, and the rainfall includes: according to the formula , Determine the settlement safety factor at the i-th moment of the monitoring period. Where max is the maximum value function. To preset the settlement rate threshold, For the rainfall at the i-th moment of the monitoring period, To preset the rainfall threshold, For the first piecewise function, Let be the settlement of the k-th rotation support point at the i-th moment of the monitoring period. Let be the settlement of the j-th rotation support point at the i-th moment of the monitoring period. This is a preset threshold value for the difference in settlement between the k-th and j-th rotational support points. To determine the wind force level at the i-th moment of the monitoring period, Let be the angle between the k-th and j-th rotation support points and the wind direction at the i-th moment of the monitoring period. The preset wind force level threshold is K, which is the number of rotation support points, j≤K, k≤K, and j, k, and K are all positive integers.

[0009] According to the present invention, determining the rotation safety factor based on the actual monitoring coordinate information and the virtual coordinate information includes: determining the monitoring priority of each rotation monitoring point according to the design parameters; acquiring preset attitude angles, preset stress values, and preset strain values ​​of the rotation monitoring points at multiple moments during the monitoring period based on the dynamic BIM bridge model; determining virtual monitoring coordinate information of the rotation monitoring points based on the virtual coordinate information; acquiring actual attitude angles, actual stress values, and actual strain values ​​of the rotation monitoring points at multiple moments during the monitoring period; determining a preset rotation state vector based on the virtual monitoring coordinate information, the preset attitude angles, the preset stress values, and the preset strain values; determining an actual rotation state vector based on the actual monitoring coordinate information, the actual attitude angles, the actual stress values, and the actual strain values; and determining the rotation safety factor based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector.

[0010] According to the present invention, determining the rotation safety factor based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector includes: according to the formula , , Determine the rotation safety factor at the i-th moment of the monitoring cycle. Where min is the minimum value function. This is the second piecewise function. It is the third piecewise function. This provides the actual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual stress value at the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring period. for The transpose of , This provides the virtual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset stress value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The monitoring priority of the r-th rotation monitoring point is... The preset monitoring priority threshold is defined as R, where R is the number of rotation monitoring points, r ≤ R, and both r and R are positive integers.

[0011] According to the present invention, determining the hydraulic system stability coefficient based on the working data includes: determining the hydraulic oil temperature, hydraulic oil level, and hydraulic system working pressure based on the working data; acquiring the normal oil temperature, warning oil temperature, and stop oil temperature; determining the hydraulic oil level stability identification result based on the hydraulic oil level; determining the hydraulic oil temperature safety identification result based on the hydraulic oil temperature, the normal oil temperature, the warning oil temperature, and the stop oil temperature; determining the working pressure stability identification result based on the hydraulic system working pressure and the construction plan; and determining the hydraulic system stability coefficient based on the hydraulic oil level stability identification result, the hydraulic oil temperature safety identification result, and the working pressure stability identification result.

[0012] According to the present invention, determining a stable hydraulic oil level identification result based on the hydraulic oil level includes: fitting the hydraulic oil level with a time in the current monitoring period to obtain a hydraulic oil level function for the hydraulic oil level in the current monitoring period; determining a hydraulic oil level derivative function based on the hydraulic oil level function; determining the hydraulic oil level change rate at multiple times in the monitoring period based on the hydraulic oil level derivative function; determining a stable hydraulic oil level change identification result based on the hydraulic oil level change rate and a preset hydraulic oil level change rate threshold; determining a safe hydraulic oil level identification result based on the hydraulic oil level and a preset hydraulic oil level threshold; and determining a stable hydraulic oil level identification result based on both the stable hydraulic oil level change identification result and the safe hydraulic oil level identification result.

[0013] According to the present invention, determining the working pressure stability identification result based on the hydraulic system working pressure and the construction plan includes: determining the rotation stage corresponding to the current monitoring cycle time according to the construction plan; determining the pressure fluctuation tolerance corresponding to the rotation stage; determining the working pressure fluctuation according to the hydraulic system working pressure; determining the working pressure fluctuation stability identification result based on the working pressure fluctuation and the pressure fluctuation tolerance corresponding to the rotation stage; determining the working pressure safety identification result based on the hydraulic system working pressure and a preset hydraulic system working pressure threshold; and determining the working pressure stability identification result based on the working pressure fluctuation stability identification result and the working pressure safety identification result.

[0014] According to a second aspect of the present invention, a three-dimensional visualization full-field monitoring system for the entire process of bridge rotation is provided, comprising: a construction information module for acquiring bridge design parameters and construction plans; a bridge model module for generating a dynamic BIM bridge model based on the design parameters and construction plans; a sampling setting module for setting virtual sampling points at virtual key rotation locations in the dynamic BIM bridge model and setting actual sampling points at key rotation locations of the rotating bridge; and a coordinate information module for acquiring the actual coordinate information of the actual sampling points in a preset coordinate system at multiple moments during the monitoring period, and determining the virtual sampling points in the preset coordinate system based on the mapping relationship between the rotating bridge and the dynamic BIM bridge model. The system includes virtual coordinate information, wherein the preset coordinate system is a coordinate system established based on a preset origin within the range of the rotating bridge; an environmental data module, used to acquire construction environment data of the construction site at multiple moments during the monitoring period; a safety factor module, used to determine the construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information; a working data module, used to acquire working data of the hydraulic system at multiple moments during the monitoring period; a stability factor model, used to determine the stability factor of the hydraulic system based on the working data; and a monitoring report module, used to determine a full-site monitoring report based on the construction safety factor and the hydraulic system stability factor.

[0015] Technical Effects: According to this invention, a dynamic BIM bridge model can be generated based on the bridge's design parameters and construction plan. Construction environment data and hydraulic system operating data can be accurately collected from the construction site. Based on the dynamic BIM bridge model and construction environment data, the safety status of the bridge body during the rotation process can be accurately analyzed, and the construction safety factor can be determined. Based on the operating data, the safety status of the hydraulic system can be accurately analyzed, and the hydraulic system stability factor can be determined. Furthermore, a bridge rotation monitoring platform is built using a B / S architecture based on the Web, integrating the dynamic BIM model, construction safety factor, and hydraulic system stability factor into the platform, which improves the real-time performance and comprehensiveness of the entire bridge rotation monitoring process. When determining the settlement safety factor, the settlement safety factor is determined based on the support point settlement, the preset settlement difference threshold, the support point direction, wind force level, wind direction angle, and rainfall. During the calculation process, the impact of rainfall and wind force data on the settlement rate safety and the safety of uneven settlement conditions can be accurately analyzed, respectively. Furthermore, based on both the settlement rate safety and the safety of uneven settlement conditions, the settlement safety factor is determined, improving its comprehensiveness and accuracy. When determining the rotation safety factor, the rotation safety factor can be determined based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector. During the calculation process, similarity calculation can be performed based on the actual rotation state vector and the preset rotation state vector, and a weighting coefficient can be determined based on the monitoring priority. The rotation state safety of the rotation monitoring points can be accurately analyzed based on the similarity and weighting coefficient, thereby improving the accuracy of the rotation safety factor.

[0016] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort.

[0018] Figure 1 An exemplary flowchart of a three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to an embodiment of the present invention is shown.

[0019] Figure 2 An exemplary schematic diagram illustrating the calculation of the construction safety factor according to an embodiment of the present invention is shown;

[0020] Figure 3An exemplary schematic diagram illustrating the calculation of the stability coefficient of a hydraulic system according to an embodiment of the present invention is shown;

[0021] Figure 4 A block diagram of a three-dimensional visualization full-field monitoring system for the entire bridge rotation process according to an embodiment of the present invention is shown as an example. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0024] Figure 1 An exemplary flowchart illustrates a three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to an embodiment of the present invention, the method comprising:

[0025] Step S1: Obtain the bridge's design parameters and construction plan;

[0026] Step S2: Generate a dynamic BIM bridge model based on the design parameters and the construction plan;

[0027] Step S3: Set virtual sampling points at the key virtual rotation locations of the dynamic BIM bridge model, and set actual sampling points at the key rotation locations of the rotating bridge.

[0028] Step S4: At multiple moments during the monitoring cycle, the actual coordinate information of the actual sampling points in the preset coordinate system is obtained, and the virtual coordinate information of the virtual sampling points in the preset coordinate system is determined according to the mapping relationship between the rotating bridge and the dynamic BIM bridge model. The preset coordinate system is a coordinate system established based on the preset origin within the range of the rotating bridge.

[0029] Step S5: Acquire construction environment data at the construction site at multiple points during the monitoring period;

[0030] Step S6: Determine the construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information;

[0031] Step S7: Acquire the working data of the hydraulic system at multiple moments during the monitoring cycle;

[0032] Step S8: Determine the stability coefficient of the hydraulic system based on the working data;

[0033] Step S9: Determine the full-site monitoring report based on the construction safety factor and the hydraulic system stability factor.

[0034] The three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to an embodiment of the present invention can generate a dynamic BIM bridge model based on the bridge's design parameters and construction plan, and accurately collect construction environment data and hydraulic system operation data at the construction site. Based on the dynamic BIM bridge model and construction environment data, it can accurately analyze the safety status of the bridge body during the rotation process and determine the construction safety factor. Based on the operation data, it can accurately analyze the safety status of the hydraulic system and determine the hydraulic system stability factor. Furthermore, a bridge rotation monitoring platform is built based on the Web using a B / S architecture, integrating the dynamic BIM model, construction safety factor, and hydraulic system stability factor into the bridge rotation monitoring platform, which can improve the real-time performance and comprehensiveness of the entire bridge rotation process monitoring.

[0035] According to one embodiment of the present invention, in step S1, the design parameters and construction plan of the bridge are obtained.

[0036] For example, obtain the bridge's design parameters (such as geometric dimensions, material properties, structural details, ball joint location, rotation center, center of gravity location, and rotation radius) and construction plan (such as rotation start time, rotation speed, rotation angle, and posture at different stages) from the construction documents.

[0037] According to one embodiment of the present invention, in step S2, a dynamic BIM bridge model is generated based on the design parameters and the construction plan.

[0038] For example, in professional BIM software (such as Autodesk Revit), an accurate BIM bridge model is generated based on design parameters. The BIM bridge model is then linked with the construction plan to establish a 4D BIM model, which is a dynamic BIM model.

[0039] According to one embodiment of the present invention, in step S3, virtual sampling points are set at the virtual key rotation positions of the dynamic BIM bridge model, and actual sampling points are set at the key rotation positions of the rotating bridge.

[0040] For example, actual sampling points are set at key rotation locations of a rotating bridge. These key rotation locations include the rotation core point, bridge ends, rotating piers and their foundations, etc. Virtual sampling points are set at the rotation core point, bridge ends, rotating piers and their foundations, etc., in the dynamic BIM bridge model, i.e., at the virtual key rotation locations.

[0041] According to an embodiment of the present invention, in step S4, at multiple moments during the monitoring cycle, the actual coordinate information of the actual sampling points in the preset coordinate system is acquired, and the virtual coordinate information of the virtual sampling points in the preset coordinate system is determined according to the mapping relationship between the rotating bridge and the dynamic BIM bridge model. The preset coordinate system is a coordinate system established based on a preset origin within the range of the rotating bridge.

[0042] For example, a baseline wireless ranging sensor is set at three preset points with known coordinates. Based on the wireless ranging sensor set at the actual sampling point, the actual coordinate information of the actual sampling point in the preset coordinate system is obtained. Based on the mapping relationship between the rotating bridge and the dynamic BIM bridge model, the virtual coordinate information of the virtual sampling point in the preset coordinate system is determined. The preset coordinate system is a coordinate system established based on the preset origin within the range of the rotating bridge, with the ground as the xoy plane, the east direction as the x-axis, the north direction as the y-axis, and the vertically upward direction as the z-axis.

[0043] According to one embodiment of the present invention, in step S5, construction environment data of the construction site are acquired at multiple times during the monitoring period.

[0044] For example, by installing wind sensors and rain gauges at the construction site, the construction environment data can be detected. The data collected by the sensors can be uploaded to the cloud in real time and processed in the system backend. The processed data can be displayed synchronously, in real time, and dynamically through a web display platform, BIM model, and other information.

[0045] According to an embodiment of the present invention, in step S6, a construction safety factor is determined based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information.

[0046] Figure 2 A schematic diagram illustrating the calculation of the construction safety factor according to an embodiment of the present invention is shown as an example.

[0047] According to an embodiment of the present invention, step S6 includes:

[0048] Step S61: Determine the rainfall and wind data based on the construction environment data;

[0049] Step S62: Determine the actual support coordinate information of the rotation support point based on the actual coordinate information;

[0050] Step S63: Determine the actual monitoring coordinates of the rotation monitoring points based on the actual coordinate information.

[0051] Step S64: Determine the settlement safety factor based on the rainfall, the wind data, and the actual support coordinate information;

[0052] Step S65: Determine the rotation safety factor based on the actual monitored coordinate information and the virtual coordinate information;

[0053] Step S66: Determine the construction safety factor based on the settlement safety factor and the rotation safety factor.

[0054] For example, rainfall and wind data are acquired at the construction site using wind sensors and rain gauges. From the actual coordinate information of multiple actual sampling points, the coordinates of the actual sampling points at the rotation support location (e.g., the rotating pier and its foundation) are determined; these are the actual support coordinates of the rotation support point. From the actual coordinate information of multiple actual sampling points, the coordinates of the actual sampling points at the preset rotation monitoring location (e.g., the rotation core point, the bridge end) are determined; these are the actual monitoring coordinates of the rotation monitoring point. Based on the rainfall, wind data, and actual support coordinates, the settlement safety status of the bridge's rotation foundation under the current environmental conditions is assessed. An assessment is conducted to determine the settlement safety factor. Based on actual and virtual coordinate information, the safety status of the bridge during the rotation process is assessed to determine the rotation safety factor. If the settlement safety factor is less than the preset settlement safety factor threshold, the settlement safety result is determined to be 0; otherwise, the settlement safety result is 1. The preset settlement safety factor threshold can be set to 1. If the rotation safety factor is less than the preset rotation safety factor threshold, the rotation safety result is determined to be 0; otherwise, the rotation safety result is 1. The preset rotation safety factor threshold can be set to 0.95. The construction safety factor is determined based on the sum of the settlement safety result and the rotation safety result.

[0055] According to an embodiment of the present invention, step S64 includes:

[0056] Step S641: Determine the wind force level and wind direction based on the wind force data;

[0057] Step S642: Determine the settlement of the support point of the rotation support point based on the actual support coordinate information;

[0058] Step S643: Determine the distance between support points and the direction between support points based on the actual support coordinate information;

[0059] Step S644: Determine the preset settlement difference threshold based on the distance between the support points;

[0060] Step S645: Determine the wind direction angle based on the wind direction and the direction between the support points;

[0061] Step S646: Determine the settlement safety factor based on the settlement amount of the support point, the preset settlement difference threshold, the wind force level, the wind direction angle, and the rainfall.

[0062] For example, wind force data collected by wind sensors (e.g., digital anemometers) is used to determine wind speed and direction; the actual support coordinates of the pivot support points are used to determine their positions on the z-axis of a preset coordinate system; the current position of the pivot support point on the z-axis is compared with its position at the beginning of the monitoring cycle to determine its current settlement; and the horizontal distance between two pivot support points on the xoy plane of the preset coordinate system (i.e., the distance between support points) and their orientation (i.e., the direction between support points) are determined based on their actual support coordinates. For example, pivot support point A... The actual support coordinates of point A are (0,0,0), and the actual support coordinates of point B are (1,0,0). Therefore, point B is due east of point A. The preset settlement difference threshold between the two support points is determined by dividing the distance between the two support points by 2000. The wind direction angle is determined based on the wind direction and the direction between the support points. For example, if the wind direction is due east and the direction between the two support points is due east, the wind direction angle is 0 degrees. The settlement safety status of the rotating foundation is assessed based on the support point settlement, the preset settlement difference threshold, the wind force level, the wind direction angle, and the rainfall, and the settlement safety factor is determined.

[0063] According to an embodiment of the present invention, step S646 includes: determining the settlement safety factor at the i-th moment of the monitoring period according to formulas (1) and (2). ,

[0064] (1),

[0065] (2), where max is the maximum value function. To preset the settlement rate threshold, For the rainfall at the i-th moment of the monitoring period, To preset the rainfall threshold, For the first piecewise function, Let be the settlement of the k-th rotation support point at the i-th moment of the monitoring period. Let be the settlement of the j-th rotation support point at the i-th moment of the monitoring period. This is a preset threshold value for the difference in settlement between the k-th and j-th rotational support points. To determine the wind force level at the i-th moment of the monitoring period, Let be the angle between the k-th and j-th rotation support points and the wind direction at the i-th moment of the monitoring period. The preset wind force level threshold is K, which is the number of rotation support points, j≤K, k≤K, and j, k, and K are all positive integers.

[0066] According to one embodiment of the present invention, To obtain the maximum settlement of the K rotation support points at the i-th moment of the monitoring period, the above-described maximum value method can be used to determine the situation where the most severe settlement occurs at the i-th moment of the monitoring period. Let be the maximum settlement rate of the K rotating support points at the i-th moment of the monitoring period. An excessively high settlement rate may compromise the stability of the rotating system and cause the ball joint rotation system to fail. The larger the ratio between the preset settlement rate threshold and the maximum settlement rate, the smaller the relative maximum settlement rate of the K rotating support points at the i-th moment of the monitoring cycle, and the lower the risk of failure of the ball joint rotation system. The preset settlement rate threshold can be set to 0.12 mm / min. In formula (2), the first piecewise function The value includes the following two cases, when When the rainfall at the i-th moment of the monitoring period is less than the preset rainfall threshold, it indicates that the rainfall is within the normal range and has little impact on the settlement rate of the support point. The value of the first piecewise function is 1. When the rainfall is heavy, it indicates that the settlement rate of the support point will be accelerated. The value of the first piecewise function is... , This is the ratio of a preset rainfall threshold to the rainfall at time i in the monitoring period. A smaller ratio indicates a larger rainfall at time i in the monitoring period. Excessive rainfall may cause softening and settlement of the foundation soil, leading to a surge in the settlement rate of the support points. The preset rainfall threshold is determined based on the current soil properties. For example, when the soil is soft, the preset rainfall threshold is 0.1 mm / min; when the soil has other geological conditions, the preset rainfall threshold is 0.3 mm / min. This represents the coefficient indicating the influence of rainfall on the hazard of settlement rate. This represents the safety factor for settlement rate after taking into account the influence of rainfall. The smaller the value, the lower the safety.

[0067] According to one embodiment of the present invention, Let be the difference in settlement between the k-th and j-th rotational support points at the i-th moment of the monitoring period. This is a preset settlement difference threshold, and the relative difference between the settlement differences of the k-th and j-th rotation support points. The larger this ratio, the smaller the relative settlement difference between the k-th and j-th rotation support points, the lower the settlement unevenness between the support points, and the higher the safety. This indicates the maximum relative difference between the settlement difference between any two pivot support points and the corresponding preset settlement difference threshold. This maximum value selection process can be used to determine the case where the settlement difference between any two pivot support points is the largest, i.e., the most dangerous situation of uneven settlement between support points. Let the wind force level at the i-th moment of the monitoring period be the product of the wind direction angle between the k-th and j-th rotating support points at the i-th moment of the monitoring period and the wind direction. This represents the wind force level acting on the uneven settlement direction formed by the k-th and j-th rotating support points. This is the ratio of the preset wind force threshold to the wind force level acting in the direction of uneven settlement formed at the k-th and j-th pivot support points. The smaller this ratio, the stronger the wind force acting in the direction of uneven settlement, the more likely it is to cause the bridge to tilt, and the lower the safety. The preset wind force threshold can be set to level 4. This represents the coefficient indicating the influence of wind conditions on uneven settlement. This represents the safety factor for uneven settlement after taking into account the influence of wind. The smaller the value, the lower the safety.

[0068] According to one embodiment of the present invention, This indicates that the settlement safety factor is determined based on two aspects: the safety of the settlement rate and the safety of the uneven settlement condition.

[0069] In this way, the settlement safety factor is determined based on the settlement amount of the support point, the preset settlement difference threshold, the direction of the support point, the wind force level, the wind direction angle, and the rainfall. During the calculation process, the impact of rainfall and wind force data on the settlement rate safety and the settlement unevenness safety can be accurately analyzed. Furthermore, the settlement safety factor is determined based on both the settlement rate safety and the settlement unevenness safety, thus improving the comprehensiveness and accuracy of the settlement safety factor.

[0070] According to an embodiment of the present invention, step S65 includes:

[0071] Step S651: Determine the monitoring priority of each rotation monitoring point according to the design parameters;

[0072] Step S652: At multiple moments during the monitoring cycle, based on the dynamic BIM bridge model, obtain the preset attitude angle, preset stress value, and preset strain value of the rotation monitoring point.

[0073] Step S653: Determine the virtual monitoring coordinate information of the rotation monitoring point based on the virtual coordinate information;

[0074] Step S654: At multiple moments during the monitoring cycle, acquire the actual attitude angle, actual stress value, and actual strain value of the rotation monitoring point;

[0075] Step S655: Determine the preset rotation state vector based on the virtual monitoring coordinate information, the preset attitude angle, the preset stress value, and the preset strain value;

[0076] Step S656: Determine the actual rotation state vector based on the actual monitored coordinate information, the actual attitude angle, the actual stress value, and the actual strain value;

[0077] Step S657: Determine the rotation safety factor based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector.

[0078] For example, based on design parameters, the importance of each rotation monitoring point during the bridge rotation process is determined, and the monitoring priority of each monitoring point is determined. The monitoring priority is divided into 1-6 levels, with higher priority indicating greater importance. For example, the monitoring priority of the ball joint core area is level 6, the monitoring priority of the strong wind response point (e.g., the top of the beam) is level 5, the monitoring priority of the cyclically stressed components (e.g., the fatigue point of the traction cable anchor) is level 4, the monitoring priority of the anti-overturning system location (e.g., the monitoring point of the gap between the support foot and the slide) is level 3, the monitoring priority of the cyclically stressed components (e.g., the fatigue point of the traction cable anchor) is level 2, and the monitoring priority of the balance system location (e.g., the top of the auxiliary support) is level 1. During the simulation of bridge rotation, the dynamic BIM model generates preset attitude angles and preset stresses for the rotation monitoring points. The system determines the virtual monitoring coordinates of the virtual sampling points corresponding to the rotation monitoring points in the dynamic BIM model within a preset coordinate system. At multiple points during the monitoring cycle, sensors (e.g., high-precision total station, vibrating wire stress gauge, and resistance strain gauge group) are used to acquire the actual attitude angle, actual stress value, and actual strain value of the rotation monitoring points. Based on the virtual monitoring coordinates, preset attitude angle, preset stress value, and preset strain value, a preset rotation state vector is determined. Based on the actual monitoring coordinates, actual attitude angle, actual stress value, and actual strain value, the actual rotation state vector is determined. Based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector, the safety status of the bridge during the rotation process is assessed, and the rotation safety factor is determined.

[0079] According to an embodiment of the present invention, step S657 includes: determining the rotation safety factor at the i-th moment of the monitoring period according to formulas (3), (4) and (5). ,

[0080] (3),

[0081] (4),

[0082] (5),

[0083] Where min is the minimum value function. This is the second piecewise function. It is the third piecewise function. This provides the actual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual stress value at the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring period. for The transpose of , This provides the virtual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset stress value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The monitoring priority of the r-th rotation monitoring point is... The preset monitoring priority threshold is defined as R, where R is the number of rotation monitoring points, r ≤ R, and both r and R are positive integers.

[0084] According to one embodiment of the present invention, Let be the cosine similarity between the actual rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring cycle and the preset rotation state vector. The larger the cosine similarity, the closer the coordinates, attitude angles, stress values, and strain values ​​of the r-th rotation monitoring point at the i-th moment of the monitoring cycle are to the preset situation, and the higher the rotation safety reflected by the r-th rotation monitoring point. In formula (4), the second piecewise function The value includes the following two cases, when When, it means that the rotation state of the r-th rotation monitoring point at the i-th moment of the monitoring period is exactly the same as the preset rotation state, and the value of the second piecewise function is 1. When, it indicates that the rotation state of the r-th rotation monitoring point at the i-th moment of the monitoring period differs from the preset rotation state, and the value of the second piecewise function is... .

[0085] According to an embodiment of the present invention, in formula (5), the third piecewise function The value includes the following two cases, when When, it indicates that the monitoring priority of the r-th rotation monitoring point is higher. It can be set to 4 levels, and the value of the third piecewise function is... , This represents the relative difference between the monitoring priority of the r-th rotation monitoring point and the preset monitoring priority threshold. A larger ratio indicates a higher monitoring priority for the r-th rotation monitoring point. A higher monitoring priority for the r-th rotation monitoring point means a greater impact of its rotation posture on the overall bridge rotation, and higher requirements for the rotation state at that location. The larger the value The smaller the value, This represents the weighting coefficient for the rotation safety reflected by the r-th rotation monitoring point, determined based on the monitoring priority of the r-th rotation monitoring point. The rotation safety of the r-th rotation monitoring point after weighting by weighting coefficients.

[0086] According to one embodiment of the present invention, in formula (3), This represents the minimum value of the rotation safety of R rotation monitoring points at the i-th moment of the monitoring period. The above minimum value processing can be used to determine whether there are any rotation monitoring points with low rotation safety during the bridge rotation process.

[0087] In this way, the rotation safety factor can be determined based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector. During the calculation process, similarity calculation can be performed based on the actual rotation state vector and the preset rotation state vector, and the weighting coefficient can be determined based on the monitoring priority. The rotation state safety of the rotation monitoring point can be accurately analyzed based on the similarity and weighting coefficient, thus improving the accuracy of the rotation safety factor.

[0088] According to one embodiment of the present invention, in step S7, the working data of the hydraulic system is acquired at multiple moments during the monitoring cycle.

[0089] For example, operating data of the hydraulic system can be obtained by sensors (such as temperature sensors, pressure sensors, and ultrasonic level gauges) set at preset locations (such as the main pump outlet and the oil tank).

[0090] According to one embodiment of the present invention, in step S8, the stability coefficient of the hydraulic system is determined based on the working data.

[0091] Figure 3 A schematic diagram illustrating the calculation of the stability coefficient of a hydraulic system according to an embodiment of the present invention is shown.

[0092] According to an embodiment of the present invention, step S8 includes:

[0093] Step S81: Determine the hydraulic oil temperature, hydraulic oil level, and hydraulic system working pressure based on the working data;

[0094] Step S82: Obtain normal oil temperature, warning oil temperature, and stop oil temperature;

[0095] Step S83: Determine the hydraulic oil level stability identification result based on the hydraulic oil level.

[0096] Step S84: Determine the hydraulic oil temperature safety identification result based on the hydraulic oil temperature, the normal oil temperature, the warning oil temperature, and the stop oil temperature;

[0097] Step S85: Determine the working pressure stability identification result based on the hydraulic system working pressure and the construction plan;

[0098] Step S86: Determine the hydraulic system stability coefficient based on the hydraulic oil level stability identification result, the hydraulic oil temperature safety identification result, and the working pressure stability identification result.

[0099] For example, using temperature sensors, pressure sensors, and ultrasonic level gauges, the hydraulic oil temperature, hydraulic oil level, and hydraulic system operating pressure are collected during the monitoring cycle. According to mandatory industry standards, normal oil temperature, warning oil temperature, and stop oil temperature are determined, with the normal oil temperature set at 30 to 50 degrees Celsius, the warning oil temperature at 55 degrees Celsius, and the stop oil temperature at 60 degrees Celsius. The stability of the hydraulic oil level during bridge rotation is assessed based on the hydraulic oil level, determining the hydraulic oil level stability identification result. Furthermore, the safety status of the hydraulic oil temperature during bridge rotation is assessed based on the hydraulic oil temperature, normal oil temperature, warning oil temperature, and stop oil temperature, determining the hydraulic oil temperature safety identification result. For example, when the hydraulic oil temperature is within the normal oil temperature range... When the hydraulic oil temperature is within the normal range, the hydraulic oil temperature safety identification result is 1, indicating that the hydraulic oil temperature of the hydraulic system is within the normal range. When the hydraulic oil temperature is greater than or equal to the warning oil temperature but less than the stop oil temperature, the hydraulic oil temperature safety identification result is 0, which will cause a small fluctuation in system pressure and a deviation in rotation speed. When the hydraulic oil temperature is greater than or equal to the stop oil temperature, the hydraulic oil temperature safety identification result is -1, which will cause a certain fluctuation in system pressure and a larger deviation in rotation speed. Based on the hydraulic system working pressure and construction plan, the stability of the working pressure of the hydraulic system during the bridge rotation process is evaluated to determine the working pressure stability identification result. The hydraulic system stability coefficient is determined by the sum of the hydraulic oil level stability identification result, the hydraulic oil temperature safety identification result, and the working pressure stability identification result.

[0100] According to an embodiment of the present invention, step S83 includes:

[0101] Step S831: Fit the hydraulic oil level and the time in the current monitoring cycle to obtain the hydraulic oil level function in the current monitoring cycle.

[0102] Step S832: Determine the derivative function of the hydraulic oil level based on the hydraulic oil level function;

[0103] Step S833: Determine the rate of change of hydraulic oil level at multiple moments in the monitoring cycle based on the hydraulic oil level derivative function;

[0104] Step S834: Determine the hydraulic oil level change stability identification result based on the hydraulic oil level change rate and the preset hydraulic oil level change rate threshold.

[0105] Step S835: Determine the hydraulic oil level safety identification result based on the hydraulic oil level and the preset hydraulic oil level threshold.

[0106] Step S836: Determine the hydraulic oil level stability identification result based on the hydraulic oil level change stability identification result and the hydraulic oil level safety identification result.

[0107] For example, fitting the hydraulic oil level to the time points within the monitoring cycle yields a hydraulic oil level function describing the change in hydraulic oil level over time within the monitoring cycle; differentiating the hydraulic oil level function determines the hydraulic oil level derivative function; substituting the time points within the monitoring cycle into the hydraulic oil level derivative function determines the hydraulic oil level change rate at multiple time points within the monitoring cycle; based on the hydraulic oil level change rate and a preset hydraulic oil level change rate threshold, the hydraulic oil level change status is evaluated to determine the hydraulic oil level change stability identification result. The preset hydraulic oil level change rate threshold is set based on the total tank height, at 0.08% / h of the total tank height. For example, when the total tank height is 1m, the preset hydraulic oil level change rate threshold is 8mm / h. When the hydraulic oil level change rate is greater than or equal to the preset hydraulic oil level change rate threshold, the hydraulic oil level drop rate is too fast, and... The hydraulic oil level change stability identification result is -1 when the hydraulic oil level change rate is less than the preset hydraulic oil level change rate threshold, indicating a normal hydraulic oil level drop rate, and the hydraulic oil level change stability identification result is 1. The preset hydraulic oil level threshold can be set to 80% of the total tank height. When the hydraulic oil level is less than the preset hydraulic oil level threshold, it indicates a low hydraulic oil level, which may be a precursor to hydraulic system malfunction, and the hydraulic oil level change stability identification result is -1. When both the hydraulic oil level change stability identification result and the hydraulic oil level safety identification result are 1, the hydraulic oil level stability identification result is 1. When either the hydraulic oil level change stability identification result or the hydraulic oil level safety identification result contains an item with a value of -1, the hydraulic oil level stability identification result is -1, indicating that when both the hydraulic oil level change status and the hydraulic oil level are normal, the hydraulic oil level stability identification result is 1.

[0108] According to an embodiment of the present invention, step S85 includes:

[0109] Step S851: Based on the construction plan, determine the rotation stage corresponding to the current monitoring cycle.

[0110] Step S852: Determine the pressure fluctuation tolerance corresponding to the rotation stage;

[0111] Step S853: Determine the working pressure fluctuation based on the working pressure of the hydraulic system;

[0112] Step S854: Determine the working pressure fluctuation stability identification result based on the working pressure fluctuation and the pressure fluctuation tolerance corresponding to the rotation stage;

[0113] Step S855: Determine the working pressure safety identification result based on the hydraulic system working pressure and the preset hydraulic system working pressure threshold.

[0114] Step S856: Determine the working pressure stability identification result based on the working pressure fluctuation stability identification result and the working pressure safety identification result.

[0115] For example, based on the construction plan, determine the current stage of the bridge rotation process (e.g., uniform rotation stage, start-stop stage); determine the first difference by subtracting the absolute value of the hydraulic system working pressure from the previous moment's working pressure from the current moment's working pressure; determine the working pressure fluctuation based on the ratio of the first difference to the previous moment's working pressure; determine the pressure fluctuation tolerance corresponding to each rotation stage, such as 3% for the uniform rotation stage and 5% for the start-stop stage; if the working pressure fluctuation is greater than or equal to the pressure fluctuation tolerance corresponding to the rotation stage, it indicates that the hydraulic system working pressure fluctuation is too large, causing irreversible structural damage to the bridge during the rotation process, and the working pressure fluctuation stability identification result is -1; if the working pressure fluctuation is less than the pressure fluctuation tolerance corresponding to the rotation stage, it indicates that the hydraulic system working pressure fluctuation is within the normal range. Within the specified range, the working pressure fluctuation stability identification result is 1. The preset hydraulic system working pressure threshold can be set to 85%-90% of the rated working pressure of the hydraulic system. When the hydraulic system working pressure is greater than or equal to 1.1 times the preset hydraulic system working pressure threshold, it may cause a hydraulic system malfunction, and the working pressure safety identification result is -1. When the hydraulic system working pressure is less than 1.05 times the preset hydraulic system working pressure threshold, it indicates that no overpressure phenomenon has occurred, and the working pressure safety identification result is 1. When both the working pressure fluctuation stability identification result and the working pressure safety identification result are 1, the working pressure safety identification result is 1. When there is an item with a value of -1 in either the working pressure fluctuation stability identification result or the working pressure safety identification result, the working pressure safety identification result is -1, indicating that when both the working pressure fluctuation and the working pressure are within the normal range, the working pressure stability identification result is 1.

[0116] According to one embodiment of the present invention, in step S9, a full-site monitoring report is determined based on the construction safety factor and the hydraulic system stability factor.

[0117] For example, when the construction safety factor is less than 2, it indicates a safety hazard and generates a corresponding alarm message. When the hydraulic system stability factor is less than 3, it indicates an abnormality in the operation of the hydraulic system and generates a corresponding alarm message. A bridge rotation monitoring platform is built based on the web using a B / S architecture. The framework is based on sensors + 485 bus + DTU + cloud storage + IoT + web terminal (BIM model + data visualization). The dynamic BIM model, hydraulic system working data, environmental data, construction safety factor, hydraulic system stability factor and generated alarm message are integrated into the same interface.

[0118] The three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to an embodiment of the present invention can generate a dynamic BIM bridge model based on the bridge's design parameters and construction plan, and accurately collect construction environment data and hydraulic system operation data at the construction site. Based on the dynamic BIM bridge model and construction environment data, it can accurately analyze the safety status of the bridge body during the rotation process and determine the construction safety factor. Based on the operation data, it can accurately analyze the safety status of the hydraulic system and determine the hydraulic system stability factor. Furthermore, a bridge rotation monitoring platform is built based on the Web using a B / S architecture, integrating the dynamic BIM model, construction safety factor, and hydraulic system stability factor into the bridge rotation monitoring platform, which can improve the real-time performance and comprehensiveness of the entire bridge rotation process monitoring. When determining the settlement safety factor, the factors are considered: the settlement amount at the support point, the preset settlement difference threshold, the support point direction, wind force level, wind direction angle, and rainfall. During the calculation process, the impact of rainfall and wind data on the safety of settlement rate and the safety of uneven settlement conditions can be accurately analyzed. Furthermore, the settlement safety factor is determined based on both settlement rate safety and uneven settlement condition safety, improving the comprehensiveness and accuracy of the settlement safety factor. Similarly, when determining the rotation safety factor, the factors are considered based on monitoring priority, the preset rotation state vector, and the actual rotation state vector. During the calculation process, similarity calculations are performed between the actual and preset rotation state vectors, and weighting coefficients are determined based on monitoring priority. The similarity and weighting coefficients accurately analyze the rotation state safety of the monitoring points, improving the accuracy of the rotation safety factor.

[0119] Figure 4 An exemplary block diagram of a three-dimensional visualization full-field monitoring system for the entire bridge rotation process according to an embodiment of the present invention is shown, the system comprising:

[0120] The construction information module is used to obtain the bridge's design parameters and construction plan;

[0121] The bridge model module is used to generate a dynamic BIM bridge model based on the design parameters and the construction plan.

[0122] The sampling setting module is used to set virtual sampling points at key virtual rotation locations in the dynamic BIM bridge model, and to set actual sampling points at key rotation locations of the rotating bridge.

[0123] The coordinate information module is used to acquire the actual coordinate information of the actual sampling point in the preset coordinate system at multiple moments in the monitoring cycle, and to determine the virtual coordinate information of the virtual sampling point in the preset coordinate system according to the mapping relationship between the rotating bridge and the dynamic BIM bridge model. The preset coordinate system is a coordinate system established based on the preset origin within the range of the rotating bridge.

[0124] The environmental data module is used to acquire construction environmental data at the construction site at multiple points in the monitoring cycle;

[0125] The safety factor module is used to determine the construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information.

[0126] The working data module is used to acquire working data of the hydraulic system at multiple points in the monitoring cycle;

[0127] A stability coefficient model is used to determine the stability coefficient of the hydraulic system based on the operating data.

[0128] The monitoring report module is used to determine the full-site monitoring report based on the construction safety factor and the hydraulic system stability factor.

[0129] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0130] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A method for three-dimensional visualization and full-field monitoring of the entire bridge rotation process, characterized in that, include: Obtain the bridge's design parameters and construction plan; generate a dynamic BIM bridge model based on the design parameters and construction plan; Virtual sampling points are set at key virtual rotation locations in the dynamic BIM bridge model, and actual sampling points are set at key rotation locations on the rotating bridge. At multiple moments during the monitoring period, the actual coordinates of the actual sampling points in a preset coordinate system are acquired. Based on the mapping relationship between the rotating bridge and the dynamic BIM bridge model, the virtual coordinates of the virtual sampling points in the preset coordinate system are determined. The preset coordinate system is established based on a preset origin within the area where the rotating bridge is located. At multiple moments during the monitoring period, construction environment data from the construction site are acquired. Rainfall and wind data are determined based on the construction environment data. The actual support coordinates of the rotation support points are determined based on the actual coordinates. The actual monitoring coordinates of the rotation monitoring points are determined based on the actual coordinates. A settlement safety factor is determined based on the rainfall, wind data, and actual support coordinates. A rotation safety factor is determined based on the actual monitoring coordinates and the virtual coordinates. Finally, a construction safety factor is determined based on the settlement safety factor and the rotation safety factor. Construction safety factor; acquiring hydraulic system operating data at multiple points during the monitoring period; determining hydraulic system stability factor based on the operating data; determining a full-site monitoring report based on the construction safety factor and the hydraulic system stability factor; determining settlement safety factor based on rainfall, wind data, and actual support coordinate information, including: determining wind force level and wind direction based on wind data; determining support point settlement of the rotation support point based on actual support coordinate information; determining distance and direction between support points based on actual support coordinate information; determining a preset settlement difference threshold based on the distance between support points; determining wind direction angle based on wind direction and direction between support points; determining settlement safety factor based on support point settlement, preset settlement difference threshold, wind force level, wind direction angle, and rainfall; determining settlement safety factor based on support point settlement, preset settlement difference threshold, wind force level, wind direction angle, and rainfall, including: according to formula , Determine the settlement safety factor at the i-th moment of the monitoring period. Where max is the maximum value function. To preset the settlement rate threshold, For the rainfall at the i-th moment of the monitoring period, To preset the rainfall threshold, For the first piecewise function, Let be the settlement of the k-th rotation support point at the i-th moment of the monitoring period. Let be the settlement of the j-th rotation support point at the i-th moment of the monitoring period. This is a preset threshold value for the difference in settlement between the k-th and j-th rotational support points. To determine the wind force level at the i-th moment of the monitoring period, Let be the angle between the k-th and j-th rotation support points and the wind direction at the i-th moment of the monitoring period. A preset wind force threshold is defined, K represents the number of rotation support points, j≤K, k≤K, and j, k, and K are all positive integers. Based on the actual monitoring coordinate information and the virtual coordinate information, the rotation safety factor is determined, including: determining the monitoring priority of each rotation monitoring point according to the design parameters; acquiring the preset attitude angle, preset stress value, and preset strain value of the rotation monitoring points at multiple moments during the monitoring cycle, based on the dynamic BIM bridge model; determining the virtual monitoring coordinate information of the rotation monitoring points based on the virtual coordinate information; and acquiring the actual attitude of the rotation monitoring points at multiple moments during the monitoring cycle. The virtual monitoring coordinate information, the preset attitude angle, the preset stress value, and the preset strain value are used to determine the preset rotation state vector. The actual rotation state vector is determined based on the actual monitoring coordinate information, the actual attitude angle, the actual stress value, and the actual strain value. The rotation safety factor is determined based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector. The rotation safety factor is determined based on the monitoring priority, the preset rotation state vector, and the actual rotation state vector, including: according to the formula... , , Determine the rotation safety factor at the i-th moment of the monitoring cycle. Where min is the minimum value function. This is the second piecewise function. It is the third piecewise function. This provides the actual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let r be the actual stress value at the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the actual rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring period. for The transpose of , This provides the virtual monitoring coordinates of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset attitude angle of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset stress value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. Let be the preset strain value of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The preset rotation state vector of the r-th rotation monitoring point at the i-th moment of the monitoring cycle. The monitoring priority of the r-th rotation monitoring point is... The preset monitoring priority threshold is defined as R, where R is the number of rotation monitoring points, r ≤ R, and both r and R are positive integers.

2. The three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to claim 1, characterized in that, Based on the working data, the stability coefficient of the hydraulic system is determined, including: determining the hydraulic oil temperature, hydraulic oil level, and hydraulic system working pressure based on the working data; obtaining the normal oil temperature, warning oil temperature, and stop oil temperature; determining the hydraulic oil level stability identification result based on the hydraulic oil level; determining the hydraulic oil temperature safety identification result based on the hydraulic oil temperature, the normal oil temperature, the warning oil temperature, and the stop oil temperature; determining the working pressure stability identification result based on the hydraulic system working pressure and the construction plan; and determining the hydraulic system stability coefficient based on the hydraulic oil level stability identification result, the hydraulic oil temperature safety identification result, and the working pressure stability identification result.

3. The three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to claim 2, characterized in that, Determining a stable hydraulic oil level identification result based on the hydraulic oil level includes: fitting the hydraulic oil level with a time point in the current monitoring period to obtain a hydraulic oil level function for the current monitoring period; determining a hydraulic oil level derivative function based on the hydraulic oil level function; determining the hydraulic oil level change rate at multiple times in the monitoring period based on the hydraulic oil level derivative function; determining a stable hydraulic oil level change identification result based on the hydraulic oil level change rate and a preset hydraulic oil level change rate threshold; determining a safe hydraulic oil level identification result based on the hydraulic oil level and a preset hydraulic oil level threshold; and determining a stable hydraulic oil level identification result based on both the stable hydraulic oil level change identification result and the safe hydraulic oil level identification result.

4. The three-dimensional visualization full-field monitoring method for the entire bridge rotation process according to claim 2, characterized in that, Based on the hydraulic system working pressure and the construction plan, the working pressure stability identification result is determined, including: determining the rotation stage corresponding to the current monitoring period based on the construction plan; determining the pressure fluctuation tolerance corresponding to the rotation stage; determining the working pressure fluctuation based on the hydraulic system working pressure; determining the working pressure fluctuation stability identification result based on the working pressure fluctuation and the pressure fluctuation tolerance corresponding to the rotation stage; determining the working pressure safety identification result based on the hydraulic system working pressure and a preset hydraulic system working pressure threshold; and determining the working pressure stability identification result based on the working pressure fluctuation stability identification result and the working pressure safety identification result.

5. A three-dimensional visualization full-field monitoring system for the entire process of bridge rotation, used to perform the method according to any one of claims 1-4, characterized in that, include: The construction information module is used to obtain the bridge's design parameters and construction plan; the bridge model module is used to generate a dynamic BIM bridge model based on the design parameters and construction plan. The sampling setting module is used to set virtual sampling points at key virtual rotation locations in the dynamic BIM bridge model, and to set actual sampling points at key rotation locations of the rotating bridge. The coordinate information module is used to acquire the actual coordinate information of the actual sampling points in the preset coordinate system at multiple moments during the monitoring period, and to determine the virtual coordinate information of the virtual sampling points in the preset coordinate system based on the mapping relationship between the rotating bridge and the dynamic BIM bridge model. The preset coordinate system is a coordinate system established based on a preset origin within the range of the rotating bridge. The environmental data module is used to acquire construction environmental data of the construction site at multiple moments during the monitoring period. The safety factor module is used to determine the construction safety factor based on the construction environment data, the construction plan, the actual coordinate information, and the virtual coordinate information; the working data module is used to acquire the working data of the hydraulic system at multiple moments during the monitoring period; the stability factor model is used to determine the stability factor of the hydraulic system based on the working data; and the monitoring report module is used to determine the full-site monitoring report based on the construction safety factor and the hydraulic system stability factor.

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