A real-time stress monitoring method and device for bridge construction

Abstract

The present invention discloses a real-time stress monitoring method and device for bridge construction, and relates to the technical field of bridge stress monitoring. It includes data acquisition: obtaining construction behavior information, construction bridge deck, basic feedback information and standard stress threshold distribution information of the construction bridge deck. The present invention collects the real-time stress of the monitoring point through the set prediction method to obtain stress change information as a sample, and according to the positive correlation between gravity and stress, by analyzing the change of gravity, the stress is correspondingly increased, and the size relationship between the increased stress and the relevant target stress threshold is compared, so as to predict whether the subsequent real-time stress will exceed the target stress threshold, and then it can be predicted whether the subsequent numbered sub-area will have a real-time stress greater than the target stress threshold. By predicting in advance, more response time can be provided for users to deal with the problem of real-time stress greater than the target stress threshold, which is conducive to improving the work efficiency of bridge deck construction.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge stress monitoring, and in particular to a real-time stress monitoring method and device for bridge construction. Background Art

[0002] A bridge is a structure that spans rivers, straits, lakes, canyons or other obstacles to provide traffic connections. It is usually composed of span structures, piers and supports. Bridge deck construction is a small category of bridge construction. Before the bridge is put into use, the bridge deck is often required to be constructed, such as paving asphalt, installing street lights and pouring concrete. During bridge deck construction, real-time monitoring of stress is an indispensable link. By real-time monitoring of stress, potential risks can be discovered in time to avoid wider damage and increased repair costs.

[0003] Patent publication number CN115062393A is a bridge construction monitoring method, device, electronic equipment and medium, the method includes: real-time acquisition of multiple pressure values ​​of the pier body template of the current construction section; determining the target area corresponding to each sensor according to the correspondence between the preset sensor and the bridge pier body model area; applying the pressure value corresponding to each sensor to the target area corresponding to each sensor on the bridge pier body model; performing finite element simulation analysis on the bridge pier body model with all pressure values ​​applied to obtain the stress approximate value of each point in each area; generating a stress cloud map of the entire pier body template according to the stress approximate value of each point, so as to monitor the stress condition of the entire pier body template in real time through the stress cloud map. This application has the effect of monitoring the stress condition of a limited number of points on the pier body template, and then monitoring the stress condition of the entire pier body template in real time.

[0004] The above monitoring method is only a simple stress monitoring method and does not have a prediction function. It is not convenient to judge whether the subsequent bridge deck can withstand the stress based on the currently monitored bridge deck stress. At the same time, the maximum stress standards that the bridge decks of different sections can withstand are different. During the construction process, in order to improve the construction efficiency and respond to possible emergencies in a timely manner, it is particularly important to add the function of predicting whether the subsequent bridge deck can withstand the stress on the basis of real-time stress monitoring. At the same time, the above-mentioned stress monitoring requires laying a large number of sensors on the bridge pier to realize real-time monitoring of the stress conditions of the entire pier formwork. This monitoring cost is high and there is also danger when installing the sensors. Therefore, the present invention is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a real-time stress monitoring method and device for bridge construction to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a real-time stress monitoring method for bridge construction, the method comprising:

[0007] Data acquisition: Acquire construction behavior information, construction bridge deck, basic feedback information and standard stress threshold distribution information of the construction bridge deck. Construction behavior information includes real-time construction location, construction path and construction equipment information;

[0008] Data processing: preset segmented areas, evenly divide the construction bridge deck into several sub-bridge decks based on the segmented areas, segmentally number the sub-bridge decks based on the sub-bridge decks and standard stress threshold distribution information through information processing methods to obtain several numbered sub-areas and stress thresholds corresponding to the numbered sub-areas, establish a correlation between the numbered sub-areas and the stress thresholds, and establish the correlation between the sub-bridge decks and the numbered sub-areas;

[0009] Real-time stress acquisition: based on the real-time construction position, the sub-bridge deck is determined to obtain the target sub-bridge deck, based on the target sub-bridge deck, the monitoring point is obtained through the monitoring point determination method, based on the monitoring point, the stress information of the bridge deck is obtained to obtain the real-time stress, and based on the monitoring point, the numbered sub-area is determined to obtain the target sub-area;

[0010] Information generation: extract the stress threshold corresponding to the target sub-area through the association relationship to obtain the target stress threshold. When the real-time stress is greater than the target stress threshold, generate alarm information, collect the real-time stress of the monitoring point to obtain stress change information, and predict whether the subsequent real-time stress will exceed the corresponding stress threshold through a prediction method based on the stress change information to obtain a prediction result. Generate early warning information based on the prediction result. The prediction result includes a first prediction result and a second prediction result. When the first prediction result is that the first predicted stress of the rear section of the target sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the first early warning information. When the second prediction result is that the second predicted stress of the sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the second early warning information. The first early warning information and the second early warning information are integrated to obtain early warning information. Based on the alarm information, an auxiliary method is used to judge the stress distribution around the detection point to generate auxiliary information.

[0011] Information output: Send alarm information, warning information and auxiliary information to users based on basic feedback information;

[0012] The prediction method includes: obtaining the overall gravity change information of the construction process, extracting the gravity change information corresponding to the target sub-area from the overall gravity change information to obtain partial gravity change information, dividing the partial gravity change information according to whether the partial gravity change information is associated with the stress change information to obtain front-end gravity change information and rear-end gravity change information, associating the front-end gravity change information with the stress change information, judging the stress relationship through an information generation method based on the front-end gravity change information, the rear-end gravity change information, the stress change information and the overall gravity change information to obtain result information, and the result information is the prediction result.

[0013] Furthermore, the information generation method includes: selecting the highest point gravity in the front section gravity change information to obtain the front section highest gravity, selecting the highest point gravity in the rear section gravity change information to obtain the rear section highest gravity, obtaining the multiple relationship between the rear section highest gravity and the front section highest gravity to obtain the target multiple, selecting the stress corresponding to the front section highest gravity in the stress change information to obtain the front section highest stress, multiplying the front section highest stress by the target multiple to obtain the rear section highest stress, the rear section highest stress is the first predicted stress, obtaining the first predicted result according to the size relationship between the first predicted stress and the target stress threshold, judging the size relationship between the real-time stress in the sub-bridge deck and the stress threshold through a supplementary method based on the front section highest gravity and the front section highest stress in conjunction with the overall gravity change information to obtain the second predicted result, and integrating the first predicted result and the second predicted result to obtain the predicted result.

[0014] Furthermore, the supplementary method includes: obtaining user needs, determining the sub-bridge deck based on the user needs to obtain a predicted sub-bridge deck, extracting the corresponding numbered sub-area based on the predicted sub-bridge deck through correlation to obtain a predicted sub-area, obtaining a stress threshold associated with the predicted sub-area through an association relationship to obtain a reference stress threshold, extracting gravity change information corresponding to the predicted sub-area from the overall gravity change information to obtain reference gravity change information, selecting the highest point gravity in the reference gravity change information to obtain a reference maximum gravity, obtaining a multiple relationship between the reference maximum gravity and the previous section maximum gravity to obtain a reference multiple, multiplying the previous section maximum stress by the reference multiple to obtain a reference maximum stress, the reference maximum stress is a second predicted stress, and a second prediction result is obtained according to the size relationship between the second predicted stress and the reference stress threshold.

[0015] Furthermore, the auxiliary method includes: presetting a monitoring range, determining auxiliary monitoring points based on the monitoring range, performing stress monitoring based on the auxiliary monitoring points to obtain auxiliary stress, extracting stress thresholds corresponding to the auxiliary monitoring points through correlation and correlation relationships based on the auxiliary monitoring points to obtain auxiliary stress thresholds, judging the differences between a number of auxiliary stresses and the auxiliary stress thresholds to obtain a difference set, numbering and sorting the auxiliary stresses based on the numerical values ​​of individual differences in the difference set and integrating them to obtain a numbered auxiliary stress set, obtaining an orientation information set based on the positional relationship between the auxiliary monitoring points and the monitoring points of the auxiliary stresses in the numbered auxiliary stress set, and combining the numbered auxiliary stress set and the orientation information set to obtain auxiliary information.

[0016] Furthermore, the information processing method includes: adding stress to the sub-bridge deck based on standard stress threshold distribution information to obtain a stress threshold corresponding to the sub-bridge deck, determining the number of stress thresholds in the sub-bridge deck, and dividing the sub-bridge deck into regions based on the number of stress thresholds and establishing boundaries according to stress threshold differences, and numbering the sub-bridge deck to obtain numbered sub-regions.

[0017] Furthermore, the monitoring point determination method includes: obtaining a target sub-area based on the target sub-bridge deck through correlation, mining the maximum gravity application point based on the construction behavior information, judging the number of target sub-areas, and obtaining the stress threshold number based on the number of target sub-areas. When the stress threshold number is single, the maximum gravity application point is selected to obtain the monitoring point; when the stress threshold number is multiple, the center point of the target sub-area is selected to obtain the monitoring point.

[0018] Furthermore, the specific process of obtaining the stress information of the bridge deck based on the monitoring points to obtain the real-time stress is as follows: based on the monitoring points, the stress changes are obtained in real time to obtain stress change data, the highest stress in the stress change data is extracted in real time to obtain the real-time stress, the target sub-bridge deck is determined based on the monitoring points, the numbering information of the target sub-bridge deck is extracted and combined with the stress change data to generate feedback information, and the feedback information is sent to the user based on the basic feedback information.

[0019] A real-time stress monitoring device for bridge construction uses the above-mentioned real-time stress monitoring method for bridge construction, including an unmanned aerial vehicle (UAV) body, a rotating seat is installed on the top of the UAV body, a rotating block driven by a driving motor is rotatably connected in the rotating seat, an electric push rod is embedded in the rotating block, a mounting block is installed at one end of the piston rod of the electric push rod, and an optical fiber sensor is installed in the mounting block.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] The real-time stress monitoring method and device for bridge construction collects the real-time stress of the monitoring point through a set prediction method to obtain stress change information as a sample, and according to the positive correlation between gravity and stress, increases the stress accordingly by analyzing the change in gravity, and compares the size relationship between the increased stress and the relevant target stress threshold, so as to predict whether the subsequent real-time stress will exceed the target stress threshold, and further predict whether the real-time stress in the subsequent numbered sub-area will be greater than the target stress threshold. The advance prediction can provide users with more response time for dealing with the problem of real-time stress being greater than the target stress threshold, which is beneficial to improving the work efficiency of bridge deck construction.

[0022] At the same time, through the set auxiliary method, the stress information around the monitoring point can be collected and processed to obtain the numbered auxiliary stress set and the orientation information set. According to the numbered auxiliary stress set and the orientation information set, the object generating gravity at the monitoring point where the stress exceeds the stress threshold can be directionally moved to reduce the stress at the monitoring point and reduce the probability of irreparable damage, which is convenient for use. The real-time stress changes in real time, and the real-time stress will only select the real-time stress that exceeds the previous real-time stress during the change process. Through real-time changes, the number of comparison samples can be reduced and the system occupancy can be reduced. By feeding back the stress change data of the monitoring point and the numbered information of the numbered sub-area to the user, the user can intuitively understand the changes in stress during the construction process, which is conducive to reference for subsequent research on the bridge.

[0023] At the same time, the device design uses drones equipped with fiber optic sensors for stress monitoring. This design avoids the need for workers to lay a large number of sensors for stress monitoring, which helps reduce monitoring costs and improve safety. At the same time, the monitoring location can be easily moved according to usage needs, and the range of stress monitoring is wide. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the structure of the device of the present invention;

[0025] Figure 2 It is a structural schematic diagram of the information processing method of the present invention;

[0026] Figure 3 A schematic diagram of the structure of generating early warning information and alarm information of the present invention;

[0027] Figure 4 It is a schematic diagram of the real-time stress change structure of the present invention.

[0028] In the figure: 1. UAV body; 2. rotating seat; 3. rotating block; 4. electric push rod; 5. mounting block; 6. optical fiber sensor; 7. driving motor. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection threshold of the present invention.

[0030] Stress plays an important role in many engineering fields, especially in bridge construction. In bridge engineering, stress monitoring is an important means to ensure construction quality and safety. By real-time monitoring of stress and processing and analysis, the stress condition and safety of the bridge can be evaluated. In bridge construction, stress monitoring is not limited to the construction period, but also requires continuous monitoring during the bridge operation phase, which helps to timely detect bridge diseases and damage, provide a basis for maintenance and reinforcement, and ensure the safe operation of the bridge.

[0031] like Figure 1-Figure 4 As shown, the present invention provides a technical solution: a real-time stress monitoring method and device for bridge construction, the method comprising:

[0032] Data acquisition: Acquire construction behavior information, construction bridge deck, basic feedback information and standard stress threshold distribution information of the construction bridge deck. Construction behavior information includes real-time construction location, construction path and construction equipment information;

[0033] Data processing: preset segmented areas, evenly divide the construction bridge deck into several sub-bridge decks based on the segmented areas, segmentally number the sub-bridge decks based on the sub-bridge decks and standard stress threshold distribution information through information processing methods to obtain several numbered sub-areas and stress thresholds corresponding to the numbered sub-areas, establish a correlation between the numbered sub-areas and the stress thresholds, and establish the correlation between the sub-bridge decks and the numbered sub-areas;

[0034] Real-time stress acquisition: based on the real-time construction position, the sub-bridge deck is determined to obtain the target sub-bridge deck, based on the target sub-bridge deck, the monitoring point is obtained through the monitoring point determination method, based on the monitoring point, the stress information of the bridge deck is obtained to obtain the real-time stress, and based on the monitoring point, the numbered sub-area is determined to obtain the target sub-area;

[0035] Information generation: extract the stress threshold corresponding to the target sub-area through the association relationship to obtain the target stress threshold. When the real-time stress is greater than the target stress threshold, generate alarm information, collect the real-time stress of the monitoring point to obtain stress change information, and predict whether the subsequent real-time stress will exceed the corresponding stress threshold through a prediction method based on the stress change information to obtain a prediction result. Generate early warning information based on the prediction result. The prediction result includes a first prediction result and a second prediction result. When the prediction result is that the first predicted stress of the rear section of the target sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the first early warning information. When the prediction result is that the second predicted stress of the sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the second early warning information. The first early warning information and the second early warning information are integrated to obtain the early warning information. Based on the alarm information, an auxiliary method is used to judge the stress distribution around the detection point to generate auxiliary information.

[0036] Information output: Send alarm information, warning information and auxiliary information to users based on basic feedback information;

[0037] It should be noted that in the data acquisition stage, the basic feedback information is the address information for sending information to the user, such as email, IP address, telephone number, etc. The standard stress threshold distribution information of the bridge deck is obtained by querying the construction information of the bridge. In the data processing stage, the preset segment area is determined according to user needs and actual usage. The bridge deck is divided into multiple sections by the segment area, and then the stress threshold is added to the sub-bridge deck divided into sections by the information processing method, and the sub-bridge deck is further divided into regions according to the stress threshold. Through regional division, the stress threshold of each numbered sub-region can be intuitively understood. In the real-time stress acquisition stage, the real-time construction position can be combined with the map to determine that the real-time construction position is on a specific sub-bridge deck. The monitoring point determination method can be used to determine the monitoring point according to the stress threshold distribution of the numbered sub-region in the target sub-bridge deck to ensure the accuracy of the monitoring process. In the information generation stage, the numbered sub-region is determined by the position of the monitoring point, and the target stress threshold corresponding to the numbered sub-region is obtained through the association relationship to determine the relationship between the real-time stress and the target stress threshold. When the real-time stress is greater than the target stress threshold, an alarm message is generated to remind the user to make changes to avoid long-term stress concentration that causes damage to the bridge deck and increases the repair cost. When the real-time stress is not greater than the target stress threshold, no alarm message is generated. Through the prediction method, it is predicted whether the subsequent real-time stress will exceed the target stress threshold, and an early warning message is generated. Through the setting of the prediction method, the bridge deck to be constructed subsequently can be predicted based on the stress change information of the monitoring point and the overall gravity change information during the construction process, so that the user has more time to deal with the stress concentration situation, which is conducive to improving the efficiency of bridge deck construction. At the same time, the early warning information is divided into the first early warning information and the second early warning information. The priority of processing the first early warning information is higher than the second early warning information. At the same time, when the monitoring point generates an alarm message, the stress around the monitoring point is monitored by an auxiliary method to generate auxiliary information and feedback to the user, so that the user can understand the stress situation around the monitoring point and choose countermeasures according to the stress situation around the monitoring point, such as adding support columns and dispersing the location of construction equipment.

[0038] The prediction method includes: obtaining the overall gravity change information of the construction process, extracting the gravity change information corresponding to the target sub-area from the overall gravity change information to obtain partial gravity change information, dividing the partial gravity change information according to whether the partial gravity change information is associated with the stress change information to obtain front-end gravity change information and rear-end gravity change information, associating the front-end gravity change information with the stress change information, judging the stress relationship through an information generation method based on the front-end gravity change information, the rear-end gravity change information, the stress change information and the overall gravity change information to obtain result information, and the result information is the prediction result.

[0039] It should be noted that before the construction of the bridge deck, the load generated during the construction of each point on the bridge deck will be considered within the maximum stress range of the bridge deck to formulate the overall gravity change information. However, the overall gravity change information formulated under ideal conditions is inconsistent with the actual situation. Therefore, real-time stress monitoring is required. The stress change information is obtained by collecting the real-time stress of the monitoring point as a sample. The length of time for collecting the real-time stress of the monitoring point is determined by the user. According to the positive correlation between gravity and stress, by analyzing the change in gravity, the stress is increased accordingly, and compared with the relevant target stress threshold, it is possible to predict whether the subsequent real-time stress may exceed the target stress threshold, providing users with more response time to deal with stress concentration problems, which is conducive to improving the work efficiency of bridge deck construction.

[0040] The information generation method includes: selecting the highest point gravity in the front section gravity change information to obtain the front section highest gravity, selecting the highest point gravity in the rear section gravity change information to obtain the rear section highest gravity, obtaining the multiple relationship between the rear section highest gravity and the front section highest gravity to obtain the target multiple, selecting the stress corresponding to the front section highest gravity in the stress change information to obtain the front section highest stress, multiplying the front section highest stress by the target multiple to obtain the rear section highest stress, the rear section highest stress is the first predicted stress, obtaining the first predicted result according to the magnitude relationship between the first predicted stress and the target stress threshold, judging the magnitude relationship between the real-time stress in the sub-bridge deck and the stress threshold through a supplementary method based on the front section highest gravity and the front section highest stress in conjunction with the overall gravity change information to obtain the second predicted result, and integrating the first predicted result and the second predicted result to obtain the predicted result.

[0041] It should be noted that gravity and stress are positively correlated, that is, the greater the gravity on the bridge deck, the greater the stress generated. By selecting the highest gravity of the front section, the highest stress of the front section with the highest gravity of the front section can be obtained. Then, by obtaining the highest gravity of the rear section, the highest stress of the front section is increased according to the multiple relationship between the highest gravity of the front section and the highest gravity of the rear section, and the highest stress of the rear section can be predicted. Then, by judging the magnitude relationship between the highest stress of the rear section and the target stress threshold, the first prediction result can be obtained. By segmenting part of the gravity change information according to the collected stress change information, the subsequent real-time stress can be predicted, and then it can be predicted whether the subsequent real-time stress generated by the current sub-bridge deck may exceed the subsequent target stress threshold. By setting the information generation method, the magnitude relationship between the real-time stress generated by the rear section of the target sub-bridge deck and the stress threshold can be predicted, and whether the first warning information is generated can be determined based on the magnitude relationship. At the same time, the magnitude relationship between the real-time stress generated by other subsequent sub-bridges and the stress threshold can also be predicted, and whether the second warning information is generated can be determined based on the magnitude relationship.

[0042] The supplementary method includes: obtaining user needs, determining a sub-bridge deck based on the user needs to obtain a predicted sub-bridge deck, extracting the corresponding numbered sub-region through correlation based on the predicted sub-bridge deck to obtain a predicted sub-region, obtaining a stress threshold associated with the predicted sub-region through an association relationship to obtain a reference stress threshold, extracting gravity change information corresponding to the predicted sub-region from the overall gravity change information to obtain reference gravity change information, selecting the highest point gravity in the reference gravity change information to obtain a reference maximum gravity, obtaining a multiple relationship between the reference maximum gravity and the previous section maximum gravity to obtain a reference multiple, multiplying the previous section maximum stress by the reference multiple to obtain a reference maximum stress, the reference maximum stress is a second predicted stress, and a second prediction result is obtained according to the size relationship between the second predicted stress and the reference stress threshold.

[0043] It should be noted that the user demand is the sub-bridge deck that needs to be predicted specified by the user. There may be multiple numbered sub-areas in the predicted sub-bridge deck. When there are multiple numbered sub-areas, the reference maximum stress is obtained for the numbered sub-areas in turn and compared with the reference stress threshold. When the reference maximum stress of one or more numbered sub-areas among the multiple numbered sub-areas is greater than the reference stress threshold, the numbering information and reference maximum stress of the numbered sub-areas are extracted and sent to the user. By setting the supplementary method, any sub-bridge deck can be predicted according to user needs.

[0044] like Figure 3As shown, the auxiliary method includes: presetting a monitoring range, determining auxiliary monitoring points based on the monitoring range, performing stress monitoring based on the auxiliary monitoring points to obtain auxiliary stress, extracting stress thresholds corresponding to the auxiliary monitoring points through correlation and correlation relationships based on the auxiliary monitoring points to obtain auxiliary stress thresholds, judging the differences between a number of auxiliary stresses and the auxiliary stress thresholds to obtain a difference set, numbering and sorting the auxiliary stresses based on the numerical values ​​of the individual differences in the difference set and integrating them to obtain a numbered auxiliary stress set, obtaining a direction information set based on the positional relationship between the auxiliary monitoring points and the monitoring points of the auxiliary stresses in the numbered auxiliary stress set, and combining the numbered auxiliary stress set and the direction information set to obtain auxiliary information.

[0045] It should be noted that the size and direction of the monitoring range are determined by the user according to actual usage. The monitoring range is the range within which objects that may generate gravity at the monitoring point may move. The auxiliary monitoring point is determined based on the coverage size of the monitoring equipment and the monitoring range. The auxiliary stress obtained by monitoring the auxiliary monitoring point is calculated based on the difference between the auxiliary stress and the auxiliary stress threshold, and the auxiliary stress is sorted to obtain a numbered auxiliary stress set. At the same time, the orientation information set is obtained based on the positional relationship between the auxiliary monitoring point and the monitoring point. The numbered auxiliary stress set is combined with the orientation information set for easy reference by users, which is beneficial for directional movement of objects that generate gravity at the monitoring point according to the numbered auxiliary stress set and the orientation information set, so as to reduce the stress at the monitoring point and reduce the probability of irreparable damage, which is beneficial for use. At the same time, when moving, the auxiliary stress monitored in real time can be used to determine whether there is a load at the auxiliary monitoring point.

[0046] like Figure 2 As shown, the information processing method includes: adding stress to the sub-bridge deck based on standard stress threshold distribution information to obtain a stress threshold corresponding to the sub-bridge deck, determining the number of stress thresholds in the sub-bridge deck, and dividing the sub-bridge deck into regions based on the number of stress thresholds and establishing boundaries according to stress threshold differences, and numbering the sub-bridge deck to obtain numbered sub-regions.

[0047] It should be noted that stress thresholds are added to the sub-bridge deck according to the standard stress threshold distribution information. When there are multiple stress thresholds in the sub-bridge deck, the sub-bridge deck is segmented based on the stress threshold to obtain multiple numbered sub-regions with different stress thresholds. When the sub-bridge deck has a single stress threshold, the sub-bridge deck is a numbered sub-region. Through numbering processing, when real-time stress exceeding the corresponding stress threshold is generated or may exist in the numbered sub-region, the numbered sub-region can be quickly found according to the numbering information of the numbered sub-region.

[0048] like Figure 3As shown, the monitoring point determination method includes: obtaining a target sub-area through correlation based on the target sub-bridge deck, mining the maximum gravity application point based on the construction behavior information, judging the number of target sub-areas, and obtaining the stress threshold number based on the number of target sub-areas. When the stress threshold number is single, the maximum gravity application point is selected to obtain the monitoring point. When the stress threshold number is multiple, the center point of the target sub-area is selected to obtain the monitoring point.

[0049] It should be noted that the maximum gravity application point is obtained based on the construction behavior information, which is generally the location of the maximum gravity construction equipment in the construction equipment information. Through the monitoring point determination method, the corresponding monitoring point can be determined according to the number of numbered sub-areas in the sub-bridge deck. When there is only a single numbered sub-area in the sub-bridge deck, selecting the maximum gravity application point as the monitoring point can best monitor in advance whether the real-time stress will exceed the target stress threshold. When there are multiple numbered sub-areas in the sub-bridge deck, by selecting the center point of the numbered sub-area as the monitoring point, the different numbered sub-areas in the sub-bridge deck can be covered, making the monitoring of real-time stress more detailed.

[0050] like Figure 4 As shown, the specific process of obtaining the stress information of the bridge deck based on the monitoring points to obtain the real-time stress is: based on the monitoring points, the stress change is obtained in real time to obtain the stress change data, the highest stress in the stress change data is extracted in real time to obtain the real-time stress, the numbering information of the numbered sub-area is extracted and combined with the stress change data to generate feedback information, and the feedback information is sent to the user based on the basic feedback information.

[0051] It should be noted that the real-time stress changes in real time according to the construction process, and the real-time stress change process is incremental, that is, the real-time stress will only select the real-time stress that exceeds the previous real-time stress during the change process. Through real-time changes, the number of comparison samples can be reduced, the system occupancy can be reduced, and it is convenient for use. At the same time, by feeding back the stress change data of the monitoring point and the numbering information of the numbered sub-area to the user, the user can intuitively understand the changes in stress during the construction process, which is conducive to reference for subsequent research on the bridge.

[0052] like Figure 1 As shown, a real-time stress monitoring device for bridge construction includes a UAV body 1, a rotating seat 2 is installed on the top of the UAV body 1, a rotating block 3 driven by a driving motor 7 is rotatably connected in the rotating seat 2, an electric push rod 4 is embedded and installed on the rotating block 3, a mounting block 5 is installed at one end of the piston rod of the electric push rod 4, and a fiber optic sensor 6 is installed in the mounting block 5.

[0053] It should be noted that when it is necessary to monitor the stress of the bridge deck, the fiber optic sensor 6 is carried by the drone body 1 to fly to the monitoring point, and the direction of the fiber optic sensor 6 is adjusted by starting the drive motor 7. Then, the position of the fiber optic sensor 6 can be adjusted by the extension length of one end of the piston rod of the electric push rod 4. The detection end of the fiber optic sensor 6 is adjusted to the monitoring point by the drive motor 7 in cooperation with the electric push rod 4, so that real-time stress can be acquired. By carrying out stress monitoring with the fiber optic sensor 6 on the drone body 1, it is possible to avoid the need for staff to lay a large number of sensors for stress monitoring, reduce monitoring costs and improve safety. At the same time, the monitoring position is easy to move according to usage requirements, and the range of stress monitoring is wide. When stress monitoring is required for multiple points, multiple drone bodies 1 equipped with fiber optic sensors 6 can be used. The drone body 1 cooperates with the fiber optic sensor 6 to send the monitored stress data to the ground server. The ground server can process the stress data and determine whether to generate alarm information, warning information and auxiliary information, and send the generated information to the user by feedback of basic information.

[0054] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and the threshold of the present invention is defined by the attached embodiments and their equivalents.

Claims

1. A real-time stress monitoring method for bridge construction, Features: The method comprises: Data acquisition: Acquire construction behavior information, construction bridge deck, basic feedback information and standard stress threshold distribution information of the construction bridge deck. Construction behavior information includes real-time construction location, construction path and construction equipment information; Data processing: preset segmented areas, evenly divide the construction bridge deck into several sub-bridge decks based on the segmented areas, segmentally number the sub-bridge decks based on the sub-bridge decks and standard stress threshold distribution information through information processing methods to obtain several numbered sub-areas and stress thresholds corresponding to the numbered sub-areas, establish a correlation between the numbered sub-areas and the stress thresholds, and establish the correlation between the sub-bridge decks and the numbered sub-areas; Real-time stress acquisition: based on the real-time construction position, the sub-bridge deck is determined to obtain the target sub-bridge deck, based on the target sub-bridge deck, the monitoring point is obtained through the monitoring point determination method, based on the monitoring point, the stress information of the bridge deck is obtained to obtain the real-time stress, and based on the monitoring point, the numbered sub-area is determined to obtain the target sub-area; Information generation: extract the stress threshold corresponding to the target sub-area through the association relationship to obtain the target stress threshold. When the real-time stress is greater than the target stress threshold, generate alarm information, collect the real-time stress of the monitoring point to obtain stress change information, and predict whether the subsequent real-time stress will exceed the corresponding stress threshold through a prediction method based on the stress change information to obtain a prediction result. Generate early warning information based on the prediction result. The prediction result includes a first prediction result and a second prediction result. When the first prediction result is that the first predicted stress of the rear section of the target sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the first early warning information. When the second prediction result is that the second predicted stress of the sub-bridge deck is greater than the target stress threshold, extract the numbering information of the numbered sub-area and generate the second early warning information. The first early warning information and the second early warning information are integrated to obtain early warning information. Based on the alarm information, an auxiliary method is used to judge the stress distribution around the detection point to generate auxiliary information. Information output: Send alarm information, warning information and auxiliary information to users based on basic feedback information; The prediction method includes: obtaining overall gravity change information of the construction process, extracting gravity change information corresponding to the target sub-area from the overall gravity change information to obtain partial gravity change information, dividing the partial gravity change information according to whether the partial gravity change information is associated with stress change information to obtain front-end gravity change information and rear-end gravity change information, associating the front-end gravity change information with the stress change information, judging the stress relationship through an information generation method based on the front-end gravity change information, the rear-end gravity change information, the stress change information and the overall gravity change information to obtain result information, and the result information is the prediction result; The information generation method comprises: selecting the highest point gravity in the front section gravity change information to obtain the front section highest gravity, selecting the highest point gravity in the rear section gravity change information to obtain the rear section highest gravity, obtaining the multiple relationship between the rear section highest gravity and the front section highest gravity to obtain the target multiple, selecting the stress corresponding to the front section highest gravity in the stress change information to obtain the front section highest stress, multiplying the front section highest stress by the target multiple to obtain the rear section highest stress, the rear section highest stress is the first predicted stress, obtaining the first predicted result according to the magnitude relationship between the first predicted stress and the target stress threshold, judging the magnitude relationship between the real-time stress in the sub-bridge deck and the stress threshold through a supplementary method based on the front section highest gravity and the front section highest stress in combination with the overall gravity change information to obtain the second predicted result, and integrating the first predicted result and the second predicted result to obtain the predicted result; The supplementary method includes: obtaining user needs, determining a sub-bridge deck based on the user needs to obtain a predicted sub-bridge deck, extracting corresponding numbered sub-regions through correlation based on the predicted sub-bridge deck to obtain a predicted sub-region, obtaining a stress threshold associated with the predicted sub-region through a correlation relationship to obtain a reference stress threshold, extracting gravity change information corresponding to the predicted sub-region from the overall gravity change information to obtain reference gravity change information, selecting the highest point gravity in the reference gravity change information to obtain a reference maximum gravity, obtaining a multiple relationship between the reference maximum gravity and the previous maximum gravity to obtain a reference multiple, obtaining a reference maximum stress by multiplying the previous maximum stress by the reference multiple, the reference maximum stress is a second predicted stress, and a second prediction result is obtained according to the size relationship between the second predicted stress and the reference stress threshold.

2. A real-time stress monitoring method for bridge construction according to claim 1, Features: The auxiliary method includes: presetting a monitoring range, determining auxiliary monitoring points based on the monitoring range, performing stress monitoring based on the auxiliary monitoring points to obtain auxiliary stress, extracting stress thresholds corresponding to the auxiliary monitoring points through correlation and correlation relationships based on the auxiliary monitoring points to obtain auxiliary stress thresholds, judging the differences between a number of auxiliary stresses and the auxiliary stress thresholds to obtain a difference set, numbering and sorting the auxiliary stresses based on the numerical values ​​of individual differences in the difference set and integrating them to obtain a numbered auxiliary stress set, obtaining a direction information set based on the positional relationship between the auxiliary monitoring points and the monitoring points of the auxiliary stress in the numbered auxiliary stress set, and combining the numbered auxiliary stress set and the direction information set to obtain auxiliary information.

3. A real-time stress monitoring method for bridge construction according to claim 1, Features: The information processing method comprises: adding stress to the sub-bridge deck based on standard stress threshold distribution information to obtain a stress threshold corresponding to the sub-bridge deck, determining the number of stress thresholds in the sub-bridge deck, and dividing the sub-bridge deck into regions based on the number of stress thresholds and establishing boundaries according to stress threshold differences, and numbering the sub-bridge deck to obtain numbered sub-regions.

4. A real-time stress monitoring method for bridge construction according to claim 1, Features: The monitoring point determination method includes: obtaining a target sub-area through correlation based on the target sub-bridge deck, mining the maximum gravity application point based on construction behavior information, judging the number of target sub-areas, obtaining the stress threshold number based on the number of target sub-areas, when the stress threshold number is single, selecting the maximum gravity application point to obtain the monitoring point, and when the stress threshold number is multiple, selecting the center point of the target sub-area to obtain the monitoring point.

5. A real-time stress monitoring method for bridge construction according to claim 1, Features: The specific process of obtaining the real-time stress by obtaining the stress information of the bridge deck based on the monitoring points is as follows: obtaining the stress change data in real time based on the monitoring points, extracting the highest stress in the stress change data in real time to obtain the real-time stress, determining the target sub-bridge deck based on the monitoring points, extracting the number information of the target sub-bridge deck and combining it with the stress change data to generate feedback information, and sending the feedback information to the user based on the basic feedback information.

6. A real-time stress monitoring device for bridge construction, Features: A real-time stress monitoring method for bridge construction using any one of claims 1 to 5 comprises an unmanned aerial vehicle (UAV) body (1), a rotating seat (2) is mounted on the top of the UAV body (1), a rotating block (3) driven by a driving motor (7) is rotatably connected to the rotating seat (2), an electric push rod (4) is embedded and mounted on the rotating block (3), a mounting block (5) is mounted on one end of the piston rod of the electric push rod (4), and an optical fiber sensor (6) is mounted in the mounting block (5).

Images