A dynamic monitoring system based on load risk of prefabricated bridge components

Abstract

The present invention relates to the technical field of bridges, and in particular to a dynamic monitoring system based on the load risk of prefabricated bridge components, comprising: a deployment layer, a collection layer and a monitoring layer; the distribution parameters and structural parameters of the prefabricated components on the bridge are uploaded through the deployment layer, the deployment layer constructs a three-dimensional model of the prefabricated components based on the structural parameters of the prefabricated components on the bridge, and all the constructed three-dimensional models of the prefabricated components are placed in the same three-dimensional space based on the distribution parameters of the prefabricated components on the bridge. The present invention provides an effective deployment position for the monitoring component by analyzing the specification parameters and distribution data of the prefabricated components on the bridge, and simultaneously provides the monitoring component with an operation control logic, and the monitoring component is controlled to operate under the operation control logic to collect dynamic information of the prefabricated components, and then the deformation and position offset of each prefabricated component on the bridge are evaluated according to the dynamic information of the prefabricated components, so as to reflect the load risk of the prefabricated bridge components.

Description

Technical Field

[0001] The present invention relates to the technical field of bridges, and in particular to a dynamic monitoring system based on load risks of prefabricated bridge components. Background Art

[0002] Prefabricated bridge components are parts of bridges that are prefabricated in factories. They include prefabricated beams, prefabricated panels and other forms. The quality of such components is controllable and the production environment is stable. They can effectively reduce on-site construction time and improve engineering efficiency. They can also achieve standardized design and production, ensuring the consistency and stability of the bridge structure.

[0003] The invention patent with application number 201510531842.4 discloses a method for determining the change of bridge structure stiffness based on bridge health monitoring deformation data, which is characterized by: the specific determination steps are: I. Analyze the bridge structure, install displacement sensors at the 1 / 4 span and mid-span positions of the key sections of the bridge, use armored optical cables to send the collected signals to the collector, analyze the signals through the collector, and convert the sensor monitoring signals into bridge deflection deformation data through a computer; II. Install a dynamic weighing system at the vehicle on-bridge position to monitor the vehicle load, and the weighing sensor will collect the vehicle load in real time. The vehicle load signal is transmitted to the comprehensive data acquisition instrument, and the data is analyzed and calculated through the dynamic weighing system to obtain the final bridge vehicle load data; III. Collect vehicle load data for one month or longer, use the axle load spectrum analysis tool to carry out axle load spectrum analysis on the bridge, and master the bridge load data under normal conditions; IV. Collect the deflection deformation data of the bridge for one month or longer, eliminate abnormal data-overload according to the monitoring of vehicle load, and use statistical tools to perform statistical analysis on the data, calculate the mean μ and standard deviation o of the deflection deformation distribution curve under normal use, and establish a standard model diagram.

[0004] The application aims to solve the problem that "static load tests require a large investment of manpower, material and financial resources, and the test requires blocking traffic, which has a certain impact on the normal operation of the bridge. Moreover, this experiment cannot simulate the damage to the bridge stiffness under the continuous action of dynamic loads. It is a "after-the-fact" detection method and cannot monitor the changes in the stiffness of the bridge for a long time, and cannot serve as an early warning."

[0005] However, the load of bridges currently built with prefabricated components has an impact on the bridge due to changes in the load of the bridge, resulting in the risk of deformation, fracture, etc. In response to this problem, the current detection methods have not been innovated for a long time, and require specific detection plans and cycles, and require certain labor costs, which is too cumbersome;

[0006] To this end, we proposed a dynamic monitoring system based on the load risk of precast bridge components. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a dynamic monitoring system based on load risks of prefabricated bridge components, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A dynamic monitoring system based on load risk of prefabricated bridge components, comprising: a deployment layer, a collection layer and a monitoring layer;

[0010] The distribution parameters and structural parameters of the prefabricated components on the bridge are uploaded through the deployment layer. The deployment layer constructs a three-dimensional model of the prefabricated components based on the structural parameters of the prefabricated components on the bridge. Based on the distribution parameters of the prefabricated components on the bridge, all the constructed three-dimensional models of the prefabricated components are placed in the same three-dimensional space. The monitoring component deployment position is further captured on each three-dimensional model of the prefabricated components, and the monitoring component deployment is completed. The collection layer evaluates the bridge environmental status in real time, and triggers the monitoring component to run and collect dynamic information of prefabricated components through the bridge environmental status evaluation results. The monitoring layer receives the dynamic information of prefabricated components collected by the collection layer in real time, and identifies the bridge load risk based on the dynamic information of prefabricated components.

[0011] The acquisition layer includes an evaluation module, a trigger module and a storage module. The evaluation module is used to obtain bridge environmental status information, and evaluate the effectiveness of the current bridge load risk monitoring based on the bridge environmental status information. The trigger module is used to read the effectiveness of the current bridge load risk monitoring in the evaluation module. When the evaluation result of the evaluation module is valid, the monitoring component deployed on the bridge prefabricated component is triggered to run once to collect the dynamic information of the prefabricated component. The storage module is used to receive the dynamic information of the prefabricated component collected by the monitoring component.

[0012] The current bridge load risk monitoring effectiveness evaluation logic in the evaluation module is expressed as:

[0013] ;

[0014] Where: The set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the dynamic weighing equipment is put into operation; is the weighing mass of the i-th group of weighing results; It is the effectiveness judgment value of bridge load risk monitoring based on the bridge bearing level; The wind level sensed by the wind sensors deployed on the bridge during the most recent operation; is the effectiveness judgment value of bridge load risk monitoring based on the bridge wind disturbance level; It is the set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the last operation of the dynamic weighing equipment; is the weighing mass of the jth group of weighing results; Compared to The last dynamic weighing equipment operation phase ended, and the set of unique weighing results obtained by the dynamic weighing equipment at the bridge entrance and exit; is the weighing mass of the weighing result of group v; The wind level sensed by the wind sensors deployed on the bridge during the last operation;

[0015] Among them, when formula (1), formula (2), and formula (3) are established at the same time, it means that the current bridge load risk monitoring is effective. Otherwise, it means that the current bridge load risk monitoring is invalid. Table pair The average, Table pair The average, Table pair Seeking average.

[0016] Furthermore, the deployment layer includes an upload module, a construction module and a capture module, the upload module is used to upload the distribution parameters and structural parameters of the prefabricated components on the bridge, the construction module is used to receive the structural parameters of the prefabricated components on the bridge uploaded in the upload module, apply the structural parameters of the prefabricated components on the bridge to construct a three-dimensional model of the prefabricated components, synchronously traverse the distribution parameters of the prefabricated components on the bridge uploaded in the upload module, and place the constructed three-dimensional model of the prefabricated components in the same three-dimensional space based on the distribution parameters of the prefabricated components, and the capture module is used to traverse all three-dimensional models of prefabricated components placed in the same three-dimensional space, and capture a set of points on the surface of each three-dimensional model as the deployment position of the monitoring component;

[0017] Among them, the distribution parameters of prefabricated components on the bridge uploaded in the upload module are the position coordinates of the corner points on the surface of each prefabricated component, the uploaded prefabricated component structural parameters are the specification parameters of each prefabricated component, and the capture module is provided with a monitoring component deployment position capture logic. The capture module captures a set of monitoring component deployment positions on the three-dimensional model corresponding to each prefabricated component based on the capture logic.

[0018] Furthermore, the capture module takes each prefabricated component three-dimensional model as an operation target, selects a group of prefabricated component three-dimensional models as the current operation target each time, and the prefabricated component three-dimensional model selected by the capture module is recorded as A. The capture module is provided with submodules at the lower level, including:

[0019] A selection unit is used to select the largest surface on the prefabricated component three-dimensional model A that is not connected to other prefabricated component three-dimensional models as a monitoring component deployment position capture surface;

[0020] A determination unit is used to traverse the prefabricated component three-dimensional models adjacent to the prefabricated component three-dimensional model A placed in the same three-dimensional space, and determine the opposite surface of the adjacent prefabricated component three-dimensional model and the prefabricated component three-dimensional model A as a reference surface;

[0021] Among them, when the monitoring component deployment position capture surface selected by the selection unit belongs to a group of reference surfaces determined in the determination unit, the center point of the monitoring component deployment position capture surface selected by the selection unit is the monitoring component deployment position on the surface of the prefabricated component corresponding to the three-dimensional model of the prefabricated component.

[0022] Furthermore, when the monitoring component deployment position capture surface selected by the selection unit does not belong to the reference surface determined by the determination unit:

[0023] The number of reference surfaces is denoted as X:

[0024] X=1, the midpoint of the line connecting the center point of the reference surface and the center point of the capture surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component;

[0025] X=2, the midpoint of the line connecting the center points of each reference surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component;

[0026] X=3, the midpoint of the line connecting the center point of each group of reference surfaces and the center point of the capture surface to the perpendicular line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component;

[0027] X>3, the midpoint of the line connecting the center point of the three-dimensional figure determined by the line connecting the center points of each group of reference surfaces and the center point of the capture surface to the vertical line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component;

[0028] The logic for the selection unit, the determination unit and the above determination of the deployment position of the monitoring component is the monitoring component deployment position capture logic.

[0029] Furthermore, dynamic weighing equipment is deployed at the entrance and exit of the bridge, and a wind sensor is deployed in the middle section of the bridge. The combination of weighing data and wind force level data sensed by the dynamic weighing equipment and wind sensor in real time is the bridge environmental status information;

[0030] The wind force sensor operates in conjunction with the dynamic weighing equipment;

[0031] When the storage module stores the prefabricated component dynamic information, it stores the prefabricated component dynamic information in a differentiated manner based on the location information of the prefabricated component from which the prefabricated component dynamic information comes, and each group of differentiated and stored prefabricated component dynamic information is marked with a collection timestamp.

[0032] Furthermore, the The larger the value is, the more suitable the current bridge environment is for identifying bridge load risks. Conversely, the smaller the value is, the less suitable the current bridge environment is for identifying bridge load risks.

[0033] The effectiveness judgment value of bridge load risk monitoring based on the bridge bearing level , and the effectiveness judgment value of bridge load risk monitoring based on the bridge wind disturbance level All are customized by system users.

[0034] Furthermore, the monitoring component is integrated with a position sensor and a gyroscope, and the monitoring component is run once each time the evaluation module runs and evaluates that the current bridge load risk monitoring is valid;

[0035] Among them, the position information sensed by the position sensor and the angular velocity sensed by the gyroscope are the dynamic information of the prefabricated component.

[0036] Furthermore, the monitoring layer includes a receiving module, an analyzing module and an identifying module. The receiving module is used to receive the dynamic information of the prefabricated components stored in the storage module in the acquisition layer. The analyzing module is used to traverse the dynamic information of the prefabricated components received by the receiving module and analyze the bridge load risk based on the dynamic information of the prefabricated components. The identifying module is used to receive the bridge load risk analysis result in the analyzing module and identify whether the bridge currently has a load risk based on the bridge load risk analysis result.

[0037] The dynamic information of prefabricated components received by the receiving module is: the latest four sets of dynamic information of prefabricated components determined based on the mark collection timestamp in each divided storage interval stored in the storage module.

[0038] Furthermore, the bridge load risk analysis logic in the analysis module is expressed as:

[0039] ;

[0040] Where: , , is the first, second and third bridge load risk value;

[0041] It is the first set of perceived position information among the latest four sets of prefabricated component dynamic information;

[0042] It is the second set of perceived position information among the latest four sets of prefabricated component dynamic information;

[0043] The balance degree of the prefabricated component is determined based on the angular velocity sensed by the second set of gyroscopes in the latest four sets of dynamic information of the prefabricated components;

[0044] The second and third bridge load risk values ​​are calculated in the same way as the first bridge load risk value. When at least one of (2) and (3) and (4) in the above formula are established at the same time, it means that the prefabricated component load of the bridge calculated by the above formula is safe. Otherwise, it means that the prefabricated component load of the bridge calculated by the above formula is unsafe. When the result of any group of prefabricated components is unsafe, it is determined that the bridge has a load risk. The determination operation of whether the bridge has a load risk is performed in the identification module.

[0045] The balance of the prefabricated components The formula is as follows:

[0046] ;

[0047] Where: , , is the angular velocity measured by the gyroscope on the three coordinate axes; , , are the reference angles of the three coordinate axes of the precast component in equilibrium; is the time threshold for angular velocity determination; , , Manually uploaded by system users.

[0048] Furthermore, the evaluation module is interactively connected to a trigger module and a storage module via a wireless network, the evaluation module is interactively connected to a capture module via a wireless network, the capture module is interactively connected to a selection unit and a determination unit via a wireless network, the capture module is interactively connected to a construction module and an upload module via a wireless network, the storage module is interactively connected to a receiving module via a wireless network, and the receiving module is interactively connected to an analysis module and an identification module via a wireless network.

[0049] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0050] The present invention provides a dynamic monitoring system based on the load risk of prefabricated bridge components. During operation, the system provides an effective deployment position for the monitoring component by analyzing the specification parameters and distribution data of the prefabricated components on the bridge, and provides the monitoring component with an operation control logic at the same time. The monitoring component is controlled to operate under the operation control logic to collect the dynamic information of the prefabricated components, and then the deformation and position offset of each prefabricated part on the bridge are evaluated according to the dynamic information of the prefabricated components, so as to reflect the load risk of the prefabricated bridge components, thereby bringing real-time, fast, intelligent and accurate load risk monitoring to the prefabricated bridge components. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 It is a structural schematic diagram of a dynamic monitoring system based on load risk of prefabricated bridge components;

[0053] Figure 2 A schematic diagram of a three-dimensional model of a prefabricated component and a center point of a capture surface on the model in the present invention;

[0054] Figure 3 Determine a logical schematic diagram for the deployment location of the monitoring components in the present invention;

[0055] The numbers in the figure represent: 1. Three-dimensional model of prefabricated components; 2. Center point of capture surface; 3. Deployment position of monitoring components. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] The present invention will be further described below in conjunction with the embodiments.

[0058] Embodiment 1:

[0059] A dynamic monitoring system based on load risk of prefabricated bridge components in this embodiment, such as Figure 1 As shown, it includes: deployment layer, collection layer and monitoring layer;

[0060] The distribution parameters and structural parameters of the prefabricated components on the bridge are uploaded through the deployment layer. The deployment layer constructs a three-dimensional model of the prefabricated components based on the structural parameters of the prefabricated components on the bridge. Based on the distribution parameters of the prefabricated components on the bridge, all the constructed three-dimensional models of the prefabricated components are placed in the same three-dimensional space. The monitoring component deployment position is further captured on each three-dimensional model of the prefabricated components, and the monitoring component deployment is completed. The collection layer evaluates the bridge environmental status in real time, and triggers the monitoring component to run and collect dynamic information of prefabricated components through the bridge environmental status evaluation results. The monitoring layer receives the dynamic information of prefabricated components collected by the collection layer in real time, and identifies the bridge load risk based on the dynamic information of prefabricated components.

[0061] The deployment layer includes an upload module, a construction module and a capture module. The upload module is used to upload the distribution parameters and structural parameters of the prefabricated components on the bridge. The construction module is used to receive the structural parameters of the prefabricated components on the bridge uploaded in the upload module, and use the structural parameters of the prefabricated components on the bridge to construct a three-dimensional model of the prefabricated components. The distribution parameters of the prefabricated components on the bridge uploaded in the upload module are synchronously traversed. Based on the distribution parameters of the prefabricated components, the constructed three-dimensional model of the prefabricated components is placed in the same three-dimensional space. The capture module is used to traverse all three-dimensional models of prefabricated components placed in the same three-dimensional space, and capture a set of points on the surface of each three-dimensional model as the deployment position of the monitoring component;

[0062] The prefabricated component distribution parameters uploaded in the upload module are the position coordinates of the corner points on the surface of each prefabricated component, the prefabricated component structural parameters uploaded are the specification parameters of each prefabricated component, and the capture module is provided with a monitoring component deployment position capture logic. The capture module captures a set of monitoring component deployment positions on the three-dimensional model corresponding to each prefabricated component based on the capture logic;

[0063] The capture module takes each prefabricated component 3D model as the running target, and selects a group of prefabricated component 3D models as the running target each time. The prefabricated component 3D model selected by the capture module is recorded as A. The capture module is provided with submodules at the lower level, including:

[0064] A selection unit is used to select the largest surface on the prefabricated component three-dimensional model A that is not connected to other prefabricated component three-dimensional models as a monitoring component deployment position capture surface;

[0065] A determination unit, used for traversing the prefabricated component three-dimensional models adjacent to the prefabricated component three-dimensional model A placed in the same three-dimensional space, and determining the opposite surface of the adjacent prefabricated component three-dimensional model and the prefabricated component three-dimensional model A as a reference surface;

[0066] When the monitoring component deployment position capture surface selected by the selection unit belongs to a group of reference surfaces determined by the determination unit, the center point of the monitoring component deployment position capture surface selected by the selection unit is the monitoring component deployment position corresponding to the prefabricated component surface of the prefabricated component three-dimensional model;

[0067] When the monitoring component deployment location capture surface selected by the selection unit does not belong to the reference surface determined by the determination unit:

[0068] The number of reference surfaces is denoted as X:

[0069] X=1, the midpoint of the line connecting the center point of the reference surface and the center point of the capture surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component;

[0070] X=2, the midpoint of the line connecting the center points of each reference surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component;

[0071] X=3, the midpoint of the line connecting the center point of each group of reference surfaces and the center point of the capture surface to the perpendicular line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component;

[0072] X>3, the midpoint of the line connecting the center point of the three-dimensional figure determined by the line connecting the center points on each group of reference surfaces and the center point of the capture surface to the vertical line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component;

[0073] The logic of selecting the unit, determining the operation of the unit and determining the deployment location of the monitoring component is the monitoring component deployment location capture logic;

[0074] The collection layer includes an evaluation module, a trigger module and a storage module. The evaluation module is used to obtain bridge environmental status information and evaluate the effectiveness of the current bridge load risk monitoring based on the bridge environmental status information. The trigger module is used to read the effectiveness of the current bridge load risk monitoring in the evaluation module. When the evaluation result of the evaluation module is valid, the monitoring component deployed on the bridge prefabricated component is triggered to run once to collect the dynamic information of the prefabricated component. The storage module is used to receive the dynamic information of the prefabricated component collected by the monitoring component.

[0075] The current bridge load risk monitoring effectiveness evaluation logic in the evaluation module is expressed as: ;

[0076] Where: It is the set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the dynamic weighing equipment is put into operation; is the weighing mass of the i-th group of weighing results; It is the effectiveness judgment value of bridge load risk monitoring based on the bridge bearing level; The wind level sensed by the wind sensors deployed on the bridge during the most recent operation; is the effectiveness judgment value of bridge load risk monitoring based on the bridge wind disturbance level; It is the set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the last operation of the dynamic weighing equipment; is the weighing mass of the jth group of weighing results; Compared to The last dynamic weighing equipment operation phase ended, and the set of unique weighing results obtained by the dynamic weighing equipment at the bridge entrance and exit; is the weighing mass of the weighing result of group v; The wind level sensed by the wind sensors deployed on the bridge during the last operation;

[0077] Among them, when formula (1), formula (2), and formula (3) are established at the same time, it means that the current bridge load risk monitoring is effective. Otherwise, it means that the current bridge load risk monitoring is invalid. Table pair The average, Table pair The average, Table pair ;

[0078] The monitoring layer includes a receiving module, an analysis module and an identification module. The receiving module is used to receive the dynamic information of prefabricated components stored in the storage module in the acquisition layer. The analysis module is used to traverse the dynamic information of prefabricated components received by the receiving module and analyze the bridge load risk based on the dynamic information of prefabricated components. The identification module is used to receive the bridge load risk analysis results in the analysis module and identify whether the bridge currently has a load risk based on the bridge load risk analysis results.

[0079] The dynamic information of the prefabricated components received in the receiving module is: the latest four sets of dynamic information of the prefabricated components determined based on the timestamp of the tag collection in each storage interval stored in the storage module;

[0080] The bridge load risk analysis logic in the analysis module is expressed as: ;

[0081] Where: , , is the first, second and third bridge load risk value; It is the first set of perceived position information among the latest four sets of prefabricated component dynamic information; It is the second set of perceived position information among the latest four sets of prefabricated component dynamic information; The balance degree of the prefabricated component is determined based on the angular velocity sensed by the second set of gyroscopes in the latest four sets of dynamic information of the prefabricated components;

[0082] The second and third bridge load risk values ​​are calculated in the same way as the first bridge load risk value. When at least one of (2) and (3) and (4) in the above formula are established at the same time, it means that the prefabricated component load of the bridge calculated by the above formula is safe. Otherwise, it means that the prefabricated component load of the bridge calculated by the above formula is unsafe. When the result of any group of prefabricated components is unsafe, it is determined that the bridge has a load risk. The determination operation of whether the bridge has a load risk is performed in the identification module.

[0083] Balance of precast components The formula is as follows: ;

[0084] Where: , , is the angular velocity measured by the gyroscope on the three coordinate axes; , , are the reference angles of the three coordinate axes of the precast component in equilibrium; is the time threshold for angular velocity determination;

[0085] , , Manually uploaded by system end users;

[0086] The evaluation module is interactively connected to the trigger module and the storage module through a wireless network, the evaluation module is interactively connected to the capture module through a wireless network, the capture module is interactively connected to the selection unit and the judgment unit through a wireless network, the capture module is interactively connected to the construction module and the upload module through a wireless network, the storage module is interactively connected to the receiving module through a wireless network, and the receiving module is interactively connected to the analysis module and the identification module through a wireless network.

[0087] In this embodiment, the upload module runs to upload the distribution parameters and structural parameters of the prefabricated components on the bridge, the construction module synchronously receives the structural parameters of the prefabricated components on the bridge uploaded in the upload module, applies the structural parameters of the prefabricated components on the bridge to construct the three-dimensional model of the prefabricated components, synchronously traverses the distribution parameters of the prefabricated components on the bridge uploaded in the upload module, and based on the distribution parameters of the prefabricated components, the constructed three-dimensional model of the prefabricated components is placed in the same three-dimensional space accordingly, the capture module is post-operated to traverse all the three-dimensional models of the prefabricated components placed in the same three-dimensional space, and a group of points are captured on the surface of each three-dimensional model as the deployment position of the monitoring component. During the operation stage of the capture module, the selection unit synchronously selects the largest surface on the three-dimensional model A of the prefabricated component that is not connected to other three-dimensional models of the prefabricated component as the capture surface of the deployment position of the monitoring component, and the determination unit traverses the three-dimensional models of the prefabricated components adjacent to the three-dimensional model A of the prefabricated component placed in the same three-dimensional space in real time. , determine the opposite surface of the three-dimensional model of the adjacent prefabricated component and the three-dimensional model A of the prefabricated component as the reference surface, the evaluation module is post-operated to obtain the bridge environmental status information, and the effectiveness of the current bridge load risk monitoring is evaluated based on the bridge environmental status information. The trigger module further reads the effectiveness of the current bridge load risk monitoring in the evaluation module. When the evaluation result of the evaluation module is valid, the monitoring component deployed on the bridge prefabricated component is triggered to run once to collect the dynamic information of the prefabricated component. The storage module then receives the dynamic information of the prefabricated component collected by the monitoring component. Finally, the receiving module receives the dynamic information of the prefabricated component stored in the storage module in the collection layer. The analysis module traverses the dynamic information of the prefabricated component received by the receiving module, and analyzes the bridge load risk based on the dynamic information of the prefabricated component. The identification module finally receives the bridge load risk analysis result in the analysis module, and identifies whether the bridge currently has a load risk based on the bridge load risk analysis result.

[0088] The system in the above embodiment provides unmanned, intelligent, real-time and accurate dynamic monitoring of load risks for prefabricated bridge components. In the dynamic monitoring stage of load risks, the position change and balance parameters of prefabricated components are comprehensively analyzed to ensure that prefabricated bridge components can complete real-time load risk monitoring more reliably.

[0089] See also Figure 3 As shown, based on the number records in the figure, combined with the above:

[0090] X=1, the midpoint of the line connecting the center point of the reference surface and the center point of the capture surface to the perpendicular line of the capture surface, and a point on the capture surface is taken as the deployment position of the monitoring component (corresponding to the image sheet (a));

[0091] X=2, the midpoint of the line connecting the center points of each reference surface to the perpendicular line of the capture surface, and a point on the capture surface is taken as the deployment position of the monitoring component (corresponding to the image sheet (b));

[0092] X=3, the midpoint of the line connecting the center points of each group of reference surfaces and the center points of the capture surface to the perpendicular line of the capture surface, falls on a point on the capture surface as the deployment position of the monitoring component (corresponding to the image sheet (c));

[0093] X>3, the midpoint of the line connecting the center point of the three-dimensional figure determined by the line connecting the center points of each group of reference surfaces and the center point of the capture surface to the vertical line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component (corresponding to the map (d));

[0094] The logic for determining the deployment location of monitoring components is further demonstrated. Example

[0095] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The dynamic monitoring system based on load risk of prefabricated bridge components in Example 1 is further described in detail:

[0096] Dynamic weighing equipment is deployed at the entrance and exit of the bridge, and wind sensors are deployed in the middle of the bridge. The combination of weighing data and wind force level data sensed by the dynamic weighing equipment and wind sensors in real time is the bridge environmental status information;

[0097] The wind force sensor operates in conjunction with the dynamic weighing equipment;

[0098] When the storage module stores the dynamic information of the prefabricated components, it stores the prefabricated components in a differentiated manner based on the location information of the prefabricated components from which the dynamic information of the prefabricated components is derived, and each group of differentiated and stored dynamic information of the prefabricated components is marked with a collection timestamp.

[0099] Through the above settings, the source and specific collection logic of the bridge environment status information in Example 1 are further limited.

[0100] like Figure 1 As shown, The larger the value is, the more suitable the current bridge environment is for identifying bridge load risks. Conversely, the smaller the value is, the less suitable the current bridge environment is for identifying bridge load risks.

[0101] Effectiveness judgment value of bridge load risk monitoring based on bridge load-bearing level , and the effectiveness judgment value of bridge load risk monitoring based on the bridge wind interference level All are customized by system users.

[0102] Through the above settings, the technical solution in Example 1 is further specifically described, and further operation logic and data support are provided for the operation of the system in Example 1.

[0103] like Figure 1As shown, the monitoring component is integrated with a position sensor and a gyroscope, and the monitoring component runs once each time the evaluation module runs and evaluates that the current bridge load risk monitoring is effective;

[0104] Among them, the position information sensed by the position sensor and the angular velocity sensed by the gyroscope are the dynamic information of the prefabricated component.

[0105] Through the above settings, the specific content of the dynamic information of the prefabricated component is further limited.

[0106] In summary, during operation, the system in the above embodiment provides an effective deployment position for the monitoring component by analyzing the specification parameters and distribution data of the prefabricated components on the bridge, and at the same time provides the monitoring component with an operation control logic. The monitoring component is controlled to operate under the operation control logic to collect the dynamic information of the prefabricated components, and then the deformation and position offset of each prefabricated component on the bridge are evaluated according to the dynamic information of the prefabricated components, so as to reflect the load risk of the prefabricated bridge components, thereby providing real-time, fast, intelligent and accurate load risk monitoring for the prefabricated bridge components.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic monitoring system based on load risk of prefabricated bridge components, characterized in that: include: Deployment layer, collection layer and monitoring layer; The distribution parameters and structural parameters of the prefabricated components on the bridge are uploaded through the deployment layer. The deployment layer constructs a three-dimensional model of the prefabricated components based on the structural parameters of the prefabricated components on the bridge. Based on the distribution parameters of the prefabricated components on the bridge, all the constructed three-dimensional models of the prefabricated components are placed in the same three-dimensional space. The monitoring component deployment position is further captured on each three-dimensional model of the prefabricated components, and the monitoring component deployment is completed. The collection layer evaluates the bridge environmental status in real time, and triggers the monitoring component to run and collect dynamic information of prefabricated components through the bridge environmental status evaluation results. The monitoring layer receives the dynamic information of prefabricated components collected by the collection layer in real time, and identifies the bridge load risk based on the dynamic information of prefabricated components. The acquisition layer includes an evaluation module, a trigger module and a storage module. The evaluation module is used to obtain bridge environmental status information, and evaluate the effectiveness of the current bridge load risk monitoring based on the bridge environmental status information. The trigger module is used to read the effectiveness of the current bridge load risk monitoring in the evaluation module. When the evaluation result of the evaluation module is valid, the monitoring component deployed on the bridge prefabricated component is triggered to run once to collect the dynamic information of the prefabricated component. The storage module is used to receive the dynamic information of the prefabricated component collected by the monitoring component. The current bridge load risk monitoring effectiveness evaluation logic in the evaluation module is expressed as: ； Where: The set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the dynamic weighing equipment is put into operation; is the weighing mass of the i-th group of weighing results; It is the effectiveness judgment value of bridge load risk monitoring based on the bridge bearing level; The wind level sensed by the wind sensors deployed on the bridge during the most recent operation; is the effectiveness judgment value of bridge load risk monitoring based on the bridge wind disturbance level; It is the set of unique weighing results obtained by the dynamic weighing equipment at the entrance and exit of the bridge before the last operation of the dynamic weighing equipment; is the weighing mass of the jth group of weighing results; Compared to The last dynamic weighing equipment operation phase ended, and the set of unique weighing results obtained by the dynamic weighing equipment at the bridge entrance and exit; is the weighing mass of the weighing result of group v; The wind level sensed by the wind sensors deployed on the bridge during the last operation; Among them, when formula (1), formula (2), and formula (3) are established at the same time, it means that the current bridge load risk monitoring is effective. Otherwise, it means that the current bridge load risk monitoring is invalid. Table pair The average, Table pair The average, Table pair ; Dynamic weighing equipment is deployed at the entrance and exit of the bridge, and a wind sensor is deployed in the middle section of the bridge. The combination of weighing data and wind force level data sensed by the dynamic weighing equipment and wind sensor in real time is the bridge environmental status information; The wind force sensor operates in conjunction with the dynamic weighing equipment; When the storage module stores the dynamic information of the prefabricated components, it stores the prefabricated components separately based on the location information of the prefabricated components from which the dynamic information of the prefabricated components is derived, and each group of prefabricated components dynamic information stored separately is marked with a collection timestamp; The monitoring component is integrated with a position sensor and a gyroscope, and the monitoring component is run once each time the evaluation module runs and evaluates that the current bridge load risk monitoring is valid; Among them, the position information sensed by the position sensor and the angular velocity sensed by the gyroscope are the dynamic information of the prefabricated component; The monitoring layer includes a receiving module, an analyzing module and an identifying module. The receiving module is used to receive the dynamic information of the prefabricated components stored in the storage module in the acquisition layer. The analyzing module is used to traverse the dynamic information of the prefabricated components received by the receiving module and analyze the bridge load risk based on the dynamic information of the prefabricated components. The identifying module is used to receive the bridge load risk analysis result in the analyzing module and identify whether the bridge currently has a load risk based on the bridge load risk analysis result. The dynamic information of the prefabricated components received in the receiving module is: the latest four sets of dynamic information of the prefabricated components determined based on the timestamp of the tag collection in each storage interval stored in the storage module; The bridge load risk analysis logic in the analysis module is expressed as: ； Where: , , is the first, second and third bridge load risk value; It is the first set of perceived position information among the latest four sets of prefabricated component dynamic information; It is the second set of perceived position information among the latest four sets of prefabricated component dynamic information; The balance degree of the prefabricated component is determined based on the angular velocity sensed by the second set of gyroscopes in the latest four sets of dynamic information of the prefabricated components; The second and third bridge load risk values ​​are calculated in the same way as the first bridge load risk value. When at least one of (2) and (3) and (4) in the above formula are established at the same time, it means that the prefabricated component load of the bridge calculated by the above formula is safe. Otherwise, it means that the prefabricated component load of the bridge calculated by the above formula is unsafe. When the result of any group of prefabricated components is unsafe, it is determined that the bridge has a load risk. The determination operation of whether the bridge has a load risk is performed in the identification module. The balance of the prefabricated components The formula is as follows: ； Where: , , is the angular velocity measured by the gyroscope on the three coordinate axes; , , are the reference angles of the three coordinate axes of the precast component in equilibrium; is the time threshold for angular velocity determination; Said , , Manually uploaded by system users.

2. A dynamic monitoring system based on load risk of prefabricated bridge components according to claim 1, characterized in that: The deployment layer includes an upload module, a construction module and a capture module. The upload module is used to upload the distribution parameters and structural parameters of the prefabricated components on the bridge. The construction module is used to receive the structural parameters of the prefabricated components on the bridge uploaded in the upload module, and use the structural parameters of the prefabricated components on the bridge to construct a three-dimensional model of the prefabricated components. The distribution parameters of the prefabricated components on the bridge uploaded in the upload module are synchronously traversed. Based on the distribution parameters of the prefabricated components, the constructed three-dimensional model of the prefabricated components is placed in the same three-dimensional space. The capture module is used to traverse all three-dimensional models of prefabricated components placed in the same three-dimensional space, and capture a set of points on the surface of each three-dimensional model as the deployment position of the monitoring component. Among them, the distribution parameters of prefabricated components on the bridge uploaded in the upload module are the position coordinates of the corner points on the surface of each prefabricated component, the uploaded prefabricated component structural parameters are the specification parameters of each prefabricated component, and the capture module is provided with a monitoring component deployment position capture logic. The capture module captures a set of monitoring component deployment positions on the three-dimensional model corresponding to each prefabricated component based on the capture logic.

3. A dynamic monitoring system based on load risk of prefabricated bridge components according to claim 2, characterized in that: The capture module takes each prefabricated component three-dimensional model as an operation target, and selects a group of prefabricated component three-dimensional models as the current operation target each time. The prefabricated component three-dimensional model selected by the capture module is recorded as A. The capture module is provided with submodules at the lower level, including: A selection unit is used to select the largest surface on the prefabricated component three-dimensional model A that is not connected to other prefabricated component three-dimensional models as a monitoring component deployment position capture surface; A determination unit, used for traversing the prefabricated component three-dimensional models adjacent to the prefabricated component three-dimensional model A placed in the same three-dimensional space, and determining the opposite surface of the adjacent prefabricated component three-dimensional model and the prefabricated component three-dimensional model A as a reference surface; Among them, when the monitoring component deployment position capture surface selected by the selection unit belongs to a group of reference surfaces determined in the determination unit, the center point of the monitoring component deployment position capture surface selected by the selection unit is the monitoring component deployment position on the surface of the prefabricated component corresponding to the three-dimensional model of the prefabricated component.

4. A dynamic monitoring system based on load risk of prefabricated bridge components according to claim 3, characterized in that: When the monitoring component deployment position capture surface selected by the selection unit does not belong to the reference surface determined by the determination unit: The number of reference surfaces is denoted as X: X=1, the midpoint of the line connecting the center point of the reference surface and the center point of the capture surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component; X=2, the midpoint of the line connecting the center points of each reference surface to the perpendicular line of the capture surface, and a point on the capture surface is used as the deployment position of the monitoring component; X=3, the midpoint of the line connecting the center point of each group of reference surfaces and the center point of the capture surface to the perpendicular line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component; X>3, the midpoint of the line connecting the center point of the three-dimensional figure determined by the line connecting the center points on each group of reference surfaces and the center point of the capture surface to the vertical line of the capture surface falls on a point on the capture surface as the deployment position of the monitoring component; The logic for the selection unit, the determination unit and the above determination of the deployment position of the monitoring component is the monitoring component deployment position capture logic.

5. A dynamic monitoring system based on load risk of prefabricated bridge components according to claim 1, characterized in that: Said The larger the value is, the more suitable the current bridge environment is for identifying bridge load risks. Conversely, the smaller the value is, the less suitable the current bridge environment is for identifying bridge load risks. The effectiveness judgment value of bridge load risk monitoring based on the bridge bearing level , and the effectiveness judgment value of bridge load risk monitoring based on the bridge wind disturbance level All are customized by system users.

6. A dynamic monitoring system based on load risk of prefabricated bridge components according to claim 1, characterized in that: The evaluation module is interactively connected to a trigger module and a storage module via a wireless network, the evaluation module is interactively connected to a capture module via a wireless network, the capture module is interactively connected to a selection unit and a determination unit via a wireless network, the capture module is interactively connected to a construction module and an upload module via a wireless network, the storage module is interactively connected to a receiving module via a wireless network, and the receiving module is interactively connected to an analysis module and an identification module via a wireless network.

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