A cantilever construction method for long-span bridges based on Internet of Things monitoring

Abstract

The present invention provides a cantilever construction method for a large-span bridge based on Internet of Things monitoring, which belongs to the field of construction technology, and specifically comprises: using the number of Internet of Things nodes to set up Internet of Things nodes at alternative monitoring positions during the construction process, and when it is determined that there is no construction risk under the current construction progress based on the deviation between the stress of the Internet of Things nodes at the existing alternative monitoring positions and the simulated stress, determining the associated detection position at the next construction progress and using it as the focus detection position, and using the historical deviation between the stress of the focus detection position and the simulated stress in the historical construction process to determine whether it is necessary to control and manage the construction efficiency of the construction progress, thereby improving the safety of the construction.

Description

Technical Field

[0001] The invention belongs to the technical field of construction, and in particular relates to a cantilever construction method for a long-span bridge based on Internet of Things monitoring. Background Art

[0002] A cantilever bridge refers to a bridge with a simply supported beam freely suspended outward at one or both ends as the main load-bearing member of the superstructure. Therefore, in order to realize the construction of a cantilever bridge with a large span, a crawler crane is used to sequentially dismantle the side span closure section, the side span cast-in-place section and the side piers of the old bridge in the invention patent application CN202411131994.0 "A method for dismantling and reconstructing an old rigid frame bridge and building a new suspension bridge in situ". The present invention crosses the bridge dismantling and bridge construction processes and performs simultaneous construction, which is conducive to shortening the construction period, but there are the following technical problems:

[0003] The existing technical solutions have neglected to carry out construction management based on changes in the Internet of Things monitoring data of the cantilever. Specifically, as the construction volume changes, the stress conditions of the cantilever of the bridge will change. Once the stress conditions of the cantilever are abnormal, the safety of the bridge construction cannot be guaranteed if it cannot be reinforced.

[0004] In response to the above technical problems, the present invention provides a cantilever construction method for a large-span bridge based on Internet of Things monitoring. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] In order to solve the above technical problems, the present invention provides a large-span bridge cantilever construction method based on Internet of Things monitoring, which specifically includes:

[0007] S1 determines the force variation of different positions of the cantilever of the long-span bridge during the construction process according to the simulated construction data of the long-span bridge, and determines the monitoring sensitivity of different positions and the alternative monitoring positions based on the force variation;

[0008] S2 determines the associated monitoring positions under different construction progresses by using the force changes of the alternative monitoring positions under different construction progresses, determines the required number of IoT nodes of the associated monitoring positions under different construction progresses by the number of associated monitoring positions and the force changes, and determines the number of IoT nodes to be set for different alternative monitoring positions according to the required number;

[0009] S3 uses the number of IoT nodes to set IoT nodes at candidate monitoring locations during the construction process, and when it is determined that there is no construction risk under the current construction progress based on the deviation between the stress of the IoT nodes at the existing candidate monitoring locations and the simulated stress, proceeds to the next step;

[0010] S4 determines the associated detection position in the next construction progress and uses it as the focus detection position. The historical deviation between the stress of the focus detection position in the historical construction process and the simulated stress is used to determine whether it is necessary to control and manage the construction efficiency of the construction progress.

[0011] The beneficial effects of the present invention are:

[0012] 1. In the present invention, the required number of Internet of Things nodes at the associated monitoring positions under different construction progresses is determined by the number of associated monitoring positions and the force changes, thereby achieving a comprehensive consideration of the impact of the number of associated monitoring positions under different construction progresses on the monitoring accuracy under the construction progress, avoiding the inability to accurately monitor construction safety risks due to the small number of Internet of Things nodes when the monitoring accuracy is insufficient, and improving the reliability and accuracy of safety monitoring during the construction process while avoiding waste.

[0013] 2. In the present invention, the historical deviation between the stress at the monitoring position in the historical construction process and the simulated stress is used to determine whether it is necessary to control and manage the construction efficiency of the construction progress, thereby avoiding the technical problem that the construction risk under the current construction progress cannot be accurately monitored due to the large deviation of the monitoring position in the historical construction process. By reducing the construction efficiency of the construction progress, the safety of the construction is further improved, and the risk of safety accidents is also avoided.

[0014] A further technical solution is that the force change condition includes the change amount of the force in different directions.

[0015] A further technical solution is that the method for determining the monitoring sensitivity of the position is:

[0016] The construction process is divided into a plurality of construction progresses according to the construction time, and the change of the load force under the adjacent construction progress is determined according to the load data of the position under different construction progresses;

[0017] Determine the monitoring sensitivity under different construction progresses based on the change of the load under the adjacent construction progress, and use the monitoring sensitivity to determine the reliable monitoring progress in the construction progress;

[0018] The monitoring sensitivity of the location is determined by the proportion of the number of reliable progresses monitored.

[0019] A further technical solution is to determine the monitoring sensitivity under different construction progresses based on the change of the load under the adjacent construction progress, specifically including:

[0020] The variation of the load-bearing force under the adjacent construction progress is determined according to the variation of the load-bearing force, and the monitoring sensitivity under the construction progress is determined based on the ratio of the variation to the load-bearing force under the adjacent construction progress.

[0021] A further technical solution is that when the monitoring sensitivity of the position meets the requirements, the position is determined as an alternative monitoring position.

[0022] A further technical solution is to suspend construction when there is a construction risk under the current construction progress, and continue the construction process after the reinforcement is completed.

[0023] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0024] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0026] Figure 1 It is a flow chart of a method for cantilever construction of a long-span bridge based on Internet of Things monitoring;

[0027] Figure 2 is a flow chart of a method for determining monitoring sensitivity of a position;

[0028] Figure 3 is a flow chart of a method for determining a required number of IoT nodes associated with a monitoring location;

[0029] Figure 4 It is a flowchart for determining whether it is necessary to control and manage the construction efficiency of the construction progress. DETAILED DESCRIPTION

[0030] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0031] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0032] Example 1

[0033] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, according to one aspect of the present invention, a long-span bridge cantilever construction method based on Internet of Things monitoring is provided, which specifically includes:

[0034] S1 determines the force variation of different positions of the cantilever of the long-span bridge during the construction process according to the simulated construction data of the long-span bridge, and determines the monitoring sensitivity of different positions and the alternative monitoring positions based on the force variation;

[0035] S2 determines the associated monitoring positions under different construction progresses by using the force changes of the alternative monitoring positions under different construction progresses, determines the required number of IoT nodes of the associated monitoring positions under different construction progresses by the number of associated monitoring positions and the force changes, and determines the number of IoT nodes to be set for different alternative monitoring positions according to the required number;

[0036] S3 uses the number of IoT nodes to set IoT nodes at candidate monitoring locations during the construction process, and when it is determined that there is no construction risk under the current construction progress based on the deviation between the stress of the IoT nodes at the existing candidate monitoring locations and the simulated stress, proceeds to the next step;

[0037] S4 determines the associated detection position in the next construction progress and uses it as the focus detection position. The historical deviation between the stress of the focus detection position in the historical construction process and the simulated stress is used to determine whether it is necessary to control and manage the construction efficiency of the construction progress.

[0038] Furthermore, the force variation condition includes the variation amount of the force in different directions.

[0039] It should be noted that if Figure 2 As shown, the method for determining the monitoring sensitivity of the position is:

[0040] The construction process is divided into a plurality of construction progresses according to the construction time, and the change of the load force under the adjacent construction progress is determined according to the load data of the position under different construction progresses;

[0041] Determine the monitoring sensitivity under different construction progresses based on the change of the load under the adjacent construction progress, and use the monitoring sensitivity to determine the reliable monitoring progress in the construction progress;

[0042] The monitoring sensitivity of the location is determined by the proportion of the number of reliable progresses monitored.

[0043] It is understandable that the monitoring sensitivity under different construction progress is determined based on the change of the load under the adjacent construction progress, including:

[0044] The variation of the load-bearing force under the adjacent construction progress is determined according to the variation of the load-bearing force, and the monitoring sensitivity under the construction progress is determined based on the ratio of the variation to the load-bearing force under the adjacent construction progress.

[0045] It should be noted that when the monitoring sensitivity of the position meets the requirements, the position is determined as a candidate monitoring position.

[0046] It can also be understood that the method for determining the monitoring sensitivity of the position is:

[0047] S11 determines the maximum value of the amplitude change of the force at the position during the construction process based on the force change at the position, and judges whether the maximum value of the amplitude change of the force at the position during the construction process meets the requirements. If so, proceed to the next step; if not, determine that the position does not belong to the candidate monitoring position;

[0048] S12: based on the force change of the position, determining the rate of change of the force at the position during the construction process, judging whether the maximum value of the rate of change of the force at the position during the construction process meets the requirement, if so, proceeding to the next step, if not, determining that the position does not belong to the candidate monitoring position;

[0049] S13 determines whether there is a construction period at the location with a change rate greater than a preset change rate by the change rate, if yes, proceed to the next step, if no, proceed to step S16;

[0050] S14 divides the construction process into multiple construction progresses according to the construction time, and determines the change of the load-bearing force under the adjacent construction progress according to the load-bearing data of the position under different construction progresses, and determines the monitoring sensitivity under different construction progresses based on the change of the load-bearing force under the adjacent construction progress, and judges whether there is a construction progress with a monitoring sensitivity greater than a preset sensitivity. If so, proceed to the next step, if not, determine that the position does not belong to the candidate monitoring position;

[0051] S15 determines whether the average value of the position under different construction progresses meets the requirements, if so, proceeds to the next step, if not, determines that the position does not belong to the candidate monitoring position;

[0052] S16 determines the reliable monitoring progress in the construction progress by using the monitoring sensitivity, and determines the monitoring sensitivity of the location by the proportion of the number of the reliable monitoring progress.

[0053] Furthermore, the associated monitoring position is an alternative monitoring position at which the deviation of the load force between the construction progress and the adjacent construction progress is greater than a preset deviation.

[0054] Specifically, Figure 3 As shown, the method for determining the required number of IoT nodes associated with the monitoring location is:

[0055] Determining the monitoring sensitivity of different associated monitoring positions according to the deviation of the load force at the construction progress and the adjacent construction progress;

[0056] Determining the comprehensive monitoring reliability under the construction progress based on the number of the associated monitoring positions and the monitoring sensitivities of different associated monitoring positions, and determining the required number of Internet of Things nodes under the construction progress using the comprehensive monitoring reliability;

[0057] The required number of Internet of Things nodes at the associated monitoring locations under the construction progress is determined according to the required number of Internet of Things nodes under the construction progress and the monitoring sensitivities of different associated monitoring locations.

[0058] Further, the required number of IoT nodes at the associated monitoring positions under the construction progress is determined by the required number of IoT nodes under the construction progress and the monitoring sensitivities of different associated monitoring positions, specifically including:

[0059] The allocation ratio of the required number of Internet of Things nodes at different associated monitoring locations is determined by the monitoring sensitivities of different associated monitoring locations, and the required number of Internet of Things nodes at the associated monitoring locations under the construction progress is determined by utilizing the allocation ratio and the required number of Internet of Things nodes under the construction progress.

[0060] It is understandable that the method for determining the number of IoT nodes to be set at the candidate monitoring locations is:

[0061] Obtaining the number of times the candidate monitoring location is identified as an associated monitoring location, and determining a basic set number of Internet of Things nodes for the candidate monitoring location based on the number of times the candidate monitoring location is identified as an associated monitoring location;

[0062] Determine the maximum required number of IoT nodes of the candidate monitoring location based on the maximum value of the required number of IoT nodes at different identified associated monitoring locations;

[0063] The number of Internet of Things nodes to be set at the candidate monitoring location is determined by the maximum value of the maximum required number of the Internet of Things nodes and the basic setting number.

[0064] It should also be noted that the method for determining the number of IoT nodes at the candidate monitoring locations is as follows:

[0065] S21 obtains the number of times the candidate monitoring location is identified as an associated monitoring location, and determines whether the number of times the candidate monitoring location is identified as an associated monitoring location is greater than a preset number. If so, the number of IoT nodes of the candidate monitoring location is determined by using a preset number. If not, proceed to the next step.

[0066] S22S determines the associated construction progress of the candidate monitoring position by using the number of times the candidate monitoring position is identified as the associated monitoring position, and determines the comprehensive monitoring reliability of the candidate monitoring position in combination with the monitoring sensitivity of different associated construction progresses, and judges whether the comprehensive monitoring reliability of the candidate monitoring position is greater than the preset reliability. If so, proceed to the next step, if not, proceed to step S25;

[0067] S23 obtains the interval durations of different adjacent associated construction progresses, and determines whether the number of associated construction progresses with an interval duration greater than a preset interval duration is greater than a preset number threshold. If so, the preset setting number is used to determine the setting number of the Internet of Things nodes of the candidate monitoring location. If not, proceed to the next step.

[0068] S24 determines the distribution dispersion coefficient of the associated construction progress of the candidate monitoring position based on the interval duration of different adjacent associated construction progresses, and judges whether the distribution dispersion coefficient of the associated construction progress of the candidate monitoring position is greater than the preset dispersion coefficient. If so, the number of IoT nodes of the candidate monitoring position is determined by using the preset setting number. If not, proceed to the next step.

[0069] S25 determines the basic setting quantity of the Internet of Things nodes of the alternative monitoring location based on the number of times the location is identified as an associated monitoring location, determines the maximum required quantity of the Internet of Things nodes of the alternative monitoring location based on the maximum value of the required quantity of the Internet of Things nodes when different locations are identified as associated monitoring locations, and determines the setting quantity of the Internet of Things nodes of the alternative monitoring location by the maximum value of the maximum required quantity of the Internet of Things nodes and the basic setting quantity.

[0070] Furthermore, it is determined that there are no construction risks under the current construction progress, including:

[0071] The existing candidate monitoring position is used as the existing monitoring position, and the force deviation of different IoT nodes at the existing monitoring position is determined based on the deviation between the force of different IoT nodes at the existing monitoring position and the simulated force;

[0072] Determine the deviation IoT nodes at the existing monitoring locations through the force deviation of different IoT nodes at the existing monitoring locations, and determine the abnormal coefficients of monitoring data at different existing monitoring locations using the proportion of the number of deviation IoT nodes;

[0073] The weight values ​​of different existing monitoring locations are determined according to the number of IoT nodes at different existing monitoring locations. The construction risk coefficient under the current construction progress is determined based on the weight values ​​of different existing monitoring locations and the monitoring data anomaly coefficient. The construction risk coefficient is used to determine whether there is a construction risk under the current construction progress.

[0074] It should also be noted that when the construction risk coefficient under the current construction progress is greater than the preset risk coefficient, it is determined that there is a construction risk under the current construction progress.

[0075] It is understandable that when there is a construction risk under the current construction schedule, the construction is suspended, and the construction process is continued after the reinforcement is completed.

[0076] It should also be noted that there are no construction risks under the current construction progress, including:

[0077] S31 takes the existing candidate monitoring position as the existing monitoring position, determines the force deviation of different IoT nodes at the existing monitoring position based on the deviation between the force of different IoT nodes at the existing monitoring position and the simulated force, and determines whether there is a deviation IoT node based on the force deviation of the IoT node. If so, proceed to the next step. If not, determine that there is no construction risk under the current construction progress.

[0078] S32 determines whether the number of the deviation IoT nodes is greater than the preset number of deviation nodes, if so, proceeds to the next step, if not, proceeds to step S35;

[0079] S33 determines the deviation IoT nodes of the existing monitoring positions through the force deviations of different IoT nodes of the existing monitoring positions, and judges whether the number of the existing monitoring positions with deviation IoT nodes is greater than the preset number of monitoring positions. If so, it is determined that there is a construction risk under the current construction progress. If not, proceed to the next step.

[0080] S34 determines whether the number of existing monitoring locations where the proportion of the number of deviation IoT nodes is greater than the preset proportion is greater than the preset number of monitoring locations. If so, it is determined that there is a construction risk under the current construction progress. If not, proceed to the next step.

[0081] S35 determines the monitoring data anomaly coefficients of different existing monitoring positions by using the proportion of the number of deviation IoT nodes and the force deviation amounts of different deviation IoT nodes, and determines whether the number of existing monitoring positions whose monitoring data anomaly coefficients do not meet the requirements meets the requirements. If so, proceed to the next step; if not, determine that there is a construction risk under the current construction progress;

[0082] S36 determines the weight values ​​of different existing monitoring locations according to the number of IoT nodes at different existing monitoring locations, determines the construction risk coefficient under the current construction progress based on the weight values ​​of different existing monitoring locations and the monitoring data anomaly coefficient, and determines whether there is a construction risk under the current construction progress through the construction risk coefficient.

[0083] Further, such as Figure 4 As shown, determine whether it is necessary to control and manage the construction progress and construction efficiency, including:

[0084] Use the historical deviation between the stress of the inspection location during the historical construction process and the simulated stress to determine whether it is necessary to control and manage the construction progress and construction efficiency.

[0085] Determine the deviation times of different IoT nodes of the detection location of interest based on the historical deviations between the stress and the simulated stress at the detection location of interest during historical construction, and determine the monitoring data deviation coefficient of the detection location of interest based on the historical deviations between the stress and the simulated stress at different IoT nodes at different deviation times;

[0086] Based on the monitoring data deviation coefficients of different monitoring locations of interest, a preset mapping function is used to determine the historical monitoring problem values ​​of the construction project, and based on the historical monitoring problem values, it is determined whether control management of the construction progress and construction efficiency is required.

[0087] It can be understood that when the historical monitoring problem value is not within the preset problem threshold range, it is determined that control management of the construction efficiency of the construction progress is required.

[0088] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0089] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0090] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A cantilever construction method for a large-span bridge based on Internet of Things monitoring, characterized in that: Specifically include: Determine force changes at different positions of the cantilever of the long-span bridge during the construction process according to the simulated construction data of the long-span bridge, and determine the monitoring sensitivity of different positions and alternative monitoring positions based on the force changes; Determine the associated monitoring positions under different construction progresses by using the stress changes of the alternative monitoring positions under different construction progresses, determine the required number of IoT nodes of the associated monitoring positions under different construction progresses by the number of associated monitoring positions and the stress changes, and determine the number of IoT nodes to be set for different alternative monitoring positions according to the required number; Using the number of IoT nodes, IoT nodes at candidate monitoring locations are set during the construction process. When it is determined that there is no construction risk under the current construction progress based on the deviation between the stress of the IoT nodes at the existing candidate monitoring locations and the simulated stress, proceed to the next step. Determine the associated detection position in the next construction progress and use it as the focus detection position. Use the historical deviation between the stress of the focus detection position in the historical construction process and the simulated stress to determine whether it is necessary to control and manage the construction efficiency of the construction progress; The method for determining the monitoring sensitivity of the position is: The construction process is divided into a plurality of construction progresses according to the construction time, and the change of the load force under the adjacent construction progress is determined according to the load data of the position under different construction progresses; Determine the monitoring sensitivity under different construction progresses based on the change of the load under the adjacent construction progress, and use the monitoring sensitivity to determine the reliable monitoring progress in the construction progress; The monitoring sensitivity of the location is determined by the proportion of the number of reliable progresses monitored.

2. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: The force variation condition includes the variation of the force in different directions.

3. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: The monitoring sensitivity under different construction progress is determined based on the changes in the load under the adjacent construction progress, including: The variation of the load-bearing force under the adjacent construction progress is determined according to the variation of the load-bearing force, and the monitoring sensitivity under the construction progress is determined based on the ratio of the variation to the load-bearing force under the adjacent construction progress.

4. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: When the monitoring sensitivity of the position meets the requirement, the position is determined as a candidate monitoring position.

5. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: The associated monitoring position is an alternative monitoring position at which the deviation of the load-bearing amount between the construction progress and the adjacent construction progress is greater than a preset deviation.

6. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: The method for determining the required number of IoT nodes associated with the monitoring location is: Determining the monitoring sensitivity of different associated monitoring positions according to the deviation of the load force at the construction progress and the adjacent construction progress; Determining the comprehensive monitoring reliability under the construction progress based on the number of the associated monitoring positions and the monitoring sensitivities of different associated monitoring positions, and determining the required number of Internet of Things nodes under the construction progress using the comprehensive monitoring reliability; The required number of Internet of Things nodes at the associated monitoring locations under the construction progress is determined according to the required number of Internet of Things nodes under the construction progress and the monitoring sensitivities of different associated monitoring locations.

7. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 6 is characterized in that: Determining the required number of IoT nodes at the associated monitoring positions under the construction progress according to the required number of IoT nodes under the construction progress and the monitoring sensitivities of different associated monitoring positions specifically includes: The allocation ratio of the required number of Internet of Things nodes at different associated monitoring locations is determined by the monitoring sensitivities of different associated monitoring locations, and the required number of Internet of Things nodes at the associated monitoring locations under the construction progress is determined by utilizing the allocation ratio and the required number of Internet of Things nodes under the construction progress.

8. The long-span bridge cantilever construction method based on Internet of Things monitoring as claimed in claim 1 is characterized in that: Determine that there are no construction risks under the current construction schedule, including: The existing candidate monitoring position is used as the existing monitoring position, and the force deviation of different IoT nodes at the existing monitoring position is determined based on the deviation between the force of different IoT nodes at the existing monitoring position and the simulated force; Determine the deviation IoT nodes at the existing monitoring locations through the force deviation of different IoT nodes at the existing monitoring locations, and determine the abnormal coefficients of monitoring data at different existing monitoring locations using the proportion of the number of deviation IoT nodes; The weight values ​​of different existing monitoring locations are determined according to the number of IoT nodes at different existing monitoring locations. The construction risk coefficient under the current construction progress is determined based on the weight values ​​of different existing monitoring locations and the monitoring data anomaly coefficient. The construction risk coefficient is used to determine whether there is a construction risk under the current construction progress.

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