Method and device for determining bearing capacity of bridge, storage medium and electronic device

By generating target deviation curves for bridge load and structural change data, the problems of traffic disruption and high cost in bridge load-bearing capacity testing have been solved, achieving efficient and accurate testing results.

CN116226966BActive Publication Date: 2025-12-19VANJEE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202211697787.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-28
Publication Date
2025-12-19
Estimated Expiration
2042-12-28

AI Technical Summary

Technical Problem

Current technologies for testing the load-bearing capacity of bridges require traffic interruption, are costly, and have large testing errors, making it difficult to achieve efficient and accurate testing.

Method used

By acquiring load and structural change data of the bridge within the first time period, a target deviation curve is generated and compared with the original deviation curve to determine the bridge's load-bearing capacity and avoid traffic disruption.

Benefits of technology

It enables efficient and accurate testing of bridge load-bearing capacity, reduces testing costs, and improves testing accuracy.

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Abstract

The application discloses a bridge bearing capacity determination method and device, a storage medium and an electronic device. The bridge bearing capacity determination method comprises the following steps: obtaining a plurality of first loads of a bridge in a first time period; generating a target deviation curve by using the plurality of first loads and a plurality of first structure change data, wherein the target deviation curve comprises a corresponding relationship between the first loads and corresponding first structure change data; and determining the bearing capacity of the bridge in the first time period based on the target deviation curve and an original deviation curve. Through the application, the problem that the bearing capacity of the bridge needs to be interrupted, the cost is high, and the detection error is large in the related art is solved, and the effect of reducing the detection cost of the bridge and improving the detection accuracy is achieved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of bridges, in particular, to a bridge carrying capacity determination, device, storage medium and electronic device. BACKGROUND

[0002] For a newly built bridge, load test is used to check the design and construction quality of the bridge span structure, determine the reliability of the project, provide reliable basis for the smooth operation of the bridge, provide complete initial fingerprint data for long-term monitoring of the bridge, and accumulate experimental data for design and construction of the same type of bridge. Especially for large-span and complex structure bridges, load test is an important means for completion acceptance and quality evaluation. Load test can be used to check the construction quality of the bridge. Load test includes static load test and dynamic load test. Static load test is used for on-site test analysis of bridge structure, while dynamic load test is used as an auxiliary means of static test to supplement and improve the static test scheme. Static load test has the characteristics of strong feasibility and is mainly used for completion acceptance of new bridges or evaluation work when the operation status and carrying capacity performance of the bridge cannot be determined. However, static load test method requires a large amount of manpower and material resources, has high cost, long test period, and may cause serious damage to bridge components during the test, affecting normal traffic, and thus is difficult to popularize. Compared with static load test, dynamic load test has smaller scale, less cost, shorter test period and simple operation. However, dynamic load test has certain limitations in application. Due to the relatively low dynamic test level, the corresponding data measured in the test has large deviation from the theoretically calculated data, which cannot meet the specified accuracy requirement.

[0003] In the related art, when the carrying capacity of a bridge is detected, the traffic of the bridge needs to be interrupted, the cost is high, and the detection error is large. The related art has not yet proposed an effective solution. SUMMARY

[0004] The embodiments of the present application provide a bridge carrying capacity determination method and device, storage medium and electronic device, to at least solve the problem that in the related art, when the carrying capacity of a bridge is detected, the traffic of the bridge needs to be interrupted, the cost is high, and the detection error is large.

[0005] According to one embodiment of the present application, a method for determining the load-carrying capacity of a bridge is provided. The method comprises: obtaining a plurality of first loads of the bridge in a first time period, wherein the first loads include the weight acting on the bridge; obtaining a plurality of first structural change data corresponding to each of the first loads of the bridge in the first time period; generating a target deviation curve using the plurality of first loads and the plurality of first structural change data, wherein the target deviation curve includes the corresponding relationship between the first loads and the corresponding first structural change data; and determining the load-carrying capacity of the bridge in the first time period based on the target deviation curve and an original deviation curve, wherein the original deviation curve includes the corresponding relationship between second loads and corresponding second structural change data.

[0006] According to another embodiment of the present application, a device for determining the load-carrying capacity of a bridge is provided. The device comprises: a first obtaining module configured to obtain a plurality of first loads of the bridge in a first time period, wherein the first loads include the weight acting on the bridge; a second obtaining module configured to obtain a plurality of first structural change data corresponding to each of the first loads of the bridge in the first time period; a first generating module configured to generate a target deviation curve using the plurality of first loads and the plurality of first structural change data, wherein the target deviation curve includes the corresponding relationship between the first loads and the corresponding first structural change data; and a first determining module configured to determine the load-carrying capacity of the bridge in the first time period based on the target deviation curve and an original deviation curve, wherein the original deviation curve includes the corresponding relationship between second loads and corresponding second structural change data.

[0007] In one exemplary embodiment, the first obtaining module comprises: a first obtaining unit configured to obtain the weight acting on a plurality of preset positions of the bridge in the first time period; and a first determining unit configured to determine the average of the plurality of weights at each of the preset positions as the load at each of the preset positions, thereby obtaining the plurality of first loads.

[0008] In one exemplary embodiment, the second obtaining module comprises: a second obtaining unit configured to obtain the first structural change data corresponding to the first loads by a sensor in the first time period, wherein the sensor is arranged at the plurality of preset positions of the bridge.

[0009] In an example embodiment, the first generating module comprises: a second determining unit configured to determine corresponding first structural change data of each of the first loads within the first time period; and a first drawing unit configured to draw a corresponding relationship between each of the first loads and the corresponding first structural change data to generate the target deviation curve.

[0010] In an example embodiment, the device further comprises: a third obtaining module configured to obtain a plurality of second loads of the bridge within a second time period before determining the load-carrying capacity of the bridge within the first time period based on the target deviation curve and the original deviation curve, wherein the second loads comprise weights acting on the bridge, and the second time period is earlier than the first time period; a fourth obtaining module configured to obtain second structural change data corresponding to each of the second loads of the bridge within the second time period to obtain a plurality of the second structural change data; and a first drawing module configured to draw a corresponding relationship between each of the second loads and the corresponding second structural change data to generate the original deviation curve.

[0011] In an example embodiment, the first determining module comprises: a first searching unit configured to search for a plurality of second loads in the original deviation curve, wherein the second loads have the same positions and weights in the bridge as the first loads; a third determining unit configured to determine a plurality of second structural change data corresponding to the second loads; and a fourth determining unit configured to determine the load-carrying capacity of the bridge within the first time period by using the plurality of the second structural change data and the first structural change data.

[0012] In an example embodiment, the fourth determining unit comprises: a first processing sub-unit configured to perform the following operations on each of the first structural change data and the corresponding second structural change data to obtain a plurality of deviation rates: calculate a first difference value between a first deviation value in the first structural change data and a second deviation value in the corresponding second structural change data, wherein the first deviation value and the second deviation value are used to represent a change value of a change in the structure of the bridge; and determine a ratio between the first difference value and the second deviation value as the deviation rate; and a first determining sub-unit configured to determine the load-carrying capacity of the bridge within the first time period based on an average value of the plurality of deviation rates.

[0013] In an example embodiment, the first determining sub-unit comprises: a first determining sub-module configured to determine a second difference value between a preset value and the deviation rate as the load-carrying capacity of the bridge within the first time period.

[0014] According to still another embodiment of the present application, a computer readable storage medium is also provided, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above method embodiments when executed.

[0015] According to still another embodiment of the present application, an electronic device is also provided, comprising a memory in which a computer program is stored, and a processor configured to execute the computer program to perform the steps of any of the above method embodiments.

[0016] By the present application, a plurality of first loads of a bridge in a first time period are obtained, wherein the first load includes a weight acting on the bridge; first structure change data corresponding to each of the first loads of the bridge in the first time period is obtained, to obtain a plurality of the first structure change data; a target deviation curve is generated by using the plurality of the first loads and the plurality of the first structure change data, wherein the target deviation curve includes a corresponding relationship between the first load and the corresponding first structure change data; and the carrying capacity of the bridge in the first time period is determined based on the target deviation curve and an original deviation curve, wherein the original deviation curve includes a corresponding relationship between a second load and a corresponding second structure change data. In the above method, when determining the carrying capacity of the bridge in the first time period, only the target deviation curve is determined by using the obtained first load of the bridge in the first time period and the corresponding first structure change data, and the carrying capacity of the bridge can be determined from the target deviation curve and the original deviation curve, without interrupting the traffic on the bridge, and without limitations in the application process. Therefore, the problem of interrupting the traffic on the bridge, high cost and large detection error in detecting the carrying capacity of the bridge in the related art can be solved, and the effect of reducing the detection cost of the bridge and improving the detection accuracy is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows, and obviously, other drawings can also be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0019] Figure 1 is a hardware structure block diagram of a mobile terminal of a bridge carrying capacity determination method according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining the carrying capacity of a bridge according to an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of obtaining load data according to an embodiment of the present application;

[0022] Figure 4 is a structural block diagram of a video classification device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the personnel in the art better understand the scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] First, the related technologies involved in the present application are described:

[0026] The load of a bridge refers to the collective name of various possible loads that should be considered in the design of a bridge structure, including dead load, live load and other loads.

[0027] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking the case of running on a mobile terminal, Figure 1 is a hardware structural block diagram of a mobile terminal of a method for determining the carrying capacity of a bridge according to an embodiment of the present application. As shown in Figure 1 , the mobile terminal can include one or more Figure 1Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0028] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the bridge load-bearing capacity determination method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to a mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0029] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0030] This embodiment provides a method for determining the load-bearing capacity of a bridge. Figure 2 This is a flowchart of a method for determining the bearing capacity of a bridge according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0031] Step S202: Obtain multiple first loads on the bridge during a first time period, wherein the first loads include the weight acting on the bridge;

[0032] In step S204, the first structural change data corresponding to each first load in the first time period is obtained, and a plurality of first structural change data is obtained.

[0033] In step S206, the target deviation curve is generated by using the plurality of first loads and the plurality of first structural change data, wherein the target deviation curve includes the correspondence between the first load and the corresponding first structural change data.

[0034] In step S208, the bearing capacity of the bridge in the first time period is determined based on the target deviation curve and the original deviation curve, wherein the original deviation curve includes the correspondence between the second load and the corresponding second structural change data.

[0035] Optionally, the first time period can be flexibly set based on the actual scene, or can be the current time period. For example, when it is necessary to detect the bearing capacity of the bridge in the current time period (for example, the time period of the last month, the time period of the last week, or the time period of the day), the plurality of first loads of the bridge in the current time period is obtained, and the first structural change data corresponding to each first load of the bridge in the current time period is obtained.

[0036] Optionally, the first load includes the weight acting on the bridge, and is real-time in time, and the position of each weight is variable, and one weight corresponds to one position on the bridge. For example, the bridge is divided into 5 sections, and the weight carried by each section is obtained in real time when the vehicle travels through the 5 sections. Since the vehicle is moving, the weight distribution position is different, and the deviation of the sensor is also different. One or more sensors need to be set in each section to obtain the structural change data corresponding to the weight carried by each section. The structural change data includes but is not limited to deformation data of the bridge under the action of one weight, vibration data of the bridge under the action of one weight, and displacement data of the bridge under the action of one weight.

[0037] Optionally, the original deviation curve can be a deviation curve drawn under the optimal bearing capacity of the bridge when the bridge is just built. It can also be a deviation curve drawn in any time period of use of the bridge. As a reference, the change of the bearing capacity of the bridge between two time periods can be determined, so as to determine the bearing capacity of the bridge in the first time period.

[0038] The execution subject of the above steps can be a terminal, a server, a specific processor arranged in the terminal or the server, or a processor or processing device arranged independently of the terminal or the server, but is not limited thereto.

[0039] By the above steps, by acquiring a plurality of first loads of the bridge in a first time period, wherein the first load includes the weight acting on the bridge; acquiring first structural change data corresponding to each of the first loads of the bridge in the first time period, obtaining a plurality of first structural change data; generating a target offset curve using a plurality of first loads and a plurality of first structural change data, wherein the target offset curve includes the correspondence between the first load and the corresponding first structural change data; determining the carrying capacity of the bridge in the first time period based on the target offset curve and the original offset curve, wherein the original offset curve includes the correspondence between the second load and the corresponding second structural change data. Since in the above method, when determining the carrying capacity of the bridge in the first time period, only the target offset curve is determined by using the acquired first load of the bridge in the first time period, the corresponding first structural change data, and the carrying capacity of the bridge is determined from the target offset curve and the original offset curve, without interrupting the traffic on the bridge, and there is no limitation in the application process. Therefore, the problem of interrupting the traffic on the bridge, high cost and large detection error in the related art when detecting the carrying capacity of the bridge can be solved, and the effect of reducing the detection cost of the bridge and improving the detection accuracy is achieved.

[0040] In one example embodiment, acquiring a plurality of first loads of the bridge in a first time period includes: acquiring the weight acting on the bridge at a plurality of preset positions in the above first time period; determining the average of a plurality of the weight at each of the above preset positions as the load at each of the above preset positions to obtain a plurality of first loads. In this embodiment, a plurality of preset positions can be flexibly set based on the length of the bridge, for example, a longer bridge is divided into 5 segments, a shorter bridge is divided into 3 segments, etc. Since the vehicle is moving, the load at each position will be different. The average of a plurality of loads at each position is determined as the first load at each position, which can accurately determine the first load at each position.

[0041] In one example embodiment, acquiring the first structural change data corresponding to each of the first loads of the bridge in the above first time period to obtain a plurality of first structural change data includes: acquiring the first structural change data corresponding to the first load by the sensor in the above first time period, wherein the sensor is arranged at a plurality of preset positions on the above bridge. In this embodiment, one or more sensors can be arranged at each preset position, and in the case of including a plurality of sensors, the average of a plurality of structural data acquired by a plurality of sensors can be determined as the first structural data of each preset position. Thus, the accuracy of acquiring the first structural data is increased.

[0042] In an example embodiment, the target deviation curve is generated by using the plurality of first loads and the plurality of first structural change data, including: determining the corresponding first structural change data of each of the first loads within the first time period; and plotting the corresponding relationship between each of the first loads and the corresponding first structural change data to generate the target deviation curve. In this embodiment, for example, when the first load is 10 tons, the deviation of the bridge is 4 mm, and when the first load is 100 tons, the deviation of the bridge is 8 mm. This embodiment can intuitively reflect the corresponding relationship between each load and the corresponding structural change data within the first time period by plotting the target deviation curve.

[0043] In an example embodiment, before determining the carrying capacity of the bridge within the first time period based on the target deviation curve and the original deviation curve, the method further includes: obtaining a plurality of second loads of the bridge within a second time period, wherein the second loads include the weight acting on the bridge, and the second time period is earlier than the first time period; obtaining second structural change data corresponding to each of the second loads within the second time period, to obtain a plurality of second structural change data; and plotting the corresponding relationship between each of the second loads and the corresponding second structural change data to generate the original deviation curve. In this embodiment, the corresponding relationship between each load and the corresponding structural change data within the second time period can be intuitively reflected by plotting the original deviation curve.

[0044] In an example embodiment, determining the carrying capacity of the bridge within the first time period based on the target deviation curve and the original deviation curve includes: searching for a plurality of second loads in the original deviation curve, which have the same position and weight as the plurality of first loads in the bridge; determining a plurality of second structural change data corresponding to the plurality of second loads; and determining the carrying capacity of the bridge within the first time period by using the plurality of second structural change data and the plurality of first structural change data.

[0045] Optionally, the determination of the bearing capacity of the bridge in the first time period based on the plurality of second structural change data and the plurality of first structural change data comprises: for each of the first structural change data and the corresponding second structural change data, obtaining a plurality of deviation rates by performing the following operations: calculating a first difference value between a first deviation value in the first structural change data and a second deviation value in the corresponding second structural change data, wherein the first deviation value and the second deviation value are used to represent the change value of the structural change of the bridge; determining a ratio between the first difference value and the second deviation value as the deviation rate; and determining the bearing capacity of the bridge in the first time period based on an average value of the plurality of deviation rates. Optionally, the determination of the bearing capacity of the bridge in the first time period based on the average value of the plurality of deviation rates comprises: determining a second difference value between a preset value and the deviation rate as the bearing capacity of the bridge in the first time period. For example, when the first load in the deviation curve is 10 tons, the first deviation value of the bridge is 4 mm; when the second load in the original deviation curve is 10 tons, the second deviation value of the bridge is 3.5 mm; then the first difference value can be calculated as 0.5 mm, and the deviation rate is 0.14. When the first load in the deviation curve is 20 tons, the deviation value of the bridge is 5 mm; when the second load in the original deviation curve is 10 tons, the deviation value of the bridge is 4 mm; then the first difference value can be calculated as 1 mm, and the first deviation rate is 0.33. Then the average value of 0.14 and 0.33 is 0.24, and the bearing capacity of the bridge in the first time period is (1-0.24)*100% of the original bearing capacity, i.e. 76%. In this embodiment, the preset value can be a natural number, for example, 1 or 0.8. For example, 0.24 is used to represent the attenuation value of the bearing capacity of the bridge, and 1 minus the average value is the change of the bearing capacity of the bridge, i.e. how much the current bearing capacity is compared with the previous bearing capacity, and 1 indicates that the bearing capacity of the bridge can reach 100%, which is the most ideal bearing capacity. The final output is still a percentage, which evaluates the change of the bearing capacity, for example, 100% indicates that the bearing capacity does not change, 80% indicates that the bearing capacity is only 80% of the previous bearing capacity, and the deviation rate is 20%. This embodiment can accurately determine the bearing capacity of the bridge by calculating the average value of the deviation rate of the bridge.

[0046] The application will be described in detail below with reference to specific embodiments:

[0047] The application provides a system for evaluating the bearing capacity of a bridge, which comprises: a bridge deck load distribution detection system, a bridge structure monitoring system, and a data analysis system (including a processor for processing data); and mainly comprises the following steps:

[0048] S1, periodically (for example, one month) generate a load-deviation curve (corresponding to the deviation curve in the above). Periodically (for example, one minute) collect the bridge deck load distribution detection system output of the bridge dynamic load data (corresponding to the first load in the above); synchronously collect the sensor data output by the bridge structure monitoring system (including the first structure change data in the above); record the deviation rate of the sensor real-time data and the zero point data; generate the bridge dynamic load and sensor deviation curve (corresponding to the target deviation curve in the above).

[0049] Optionally, the zero point data can be determined by the following method: the bridge deck load distribution detection system detects the dynamic load of the bridge, and when the load is 0, that is, there is no vehicle on the bridge, the sensor zero point recording signal is given; when the bridge structure monitoring system receives the sensor zero point recording signal, the output signal of each sensor in the bridge structure monitoring system is recorded; the sensor output signal at this moment is taken as the sensor zero point.

[0050] S2, the first load-deviation curve generated is taken as the initial curve of the bridge (corresponding to the original deviation curve in the above). The load in the initial curve can be obtained as shown in the following table, for example: Figure 3 At 9 o'clock in the morning, 48 large trucks are orderly driven to the fixed position for symmetry and eccentricity detection, and the load test of the large bridge is carried out in turn, so as to comprehensively evaluate the real bearing capacity of the large bridge and test the automobile impact coefficient of the corresponding control part of the large bridge structure. At the same time, the technicians test the bearing capacity of the bridge from multiple angles.

[0051] S3, the load-deviation curve generated periodically is analyzed for deviation with the initial load-deviation curve of the bridge, specifically including:

[0052] 1) Select a comparison point, for example, a group of uniformly distributed dynamic load points;

[0053] 2) Read the deviation under the dynamic load from the current load-deviation curve and the original load-deviation curve;

[0054] 3) Calculate the deviation value of the deviation under the load;

[0055] 4) Add all the deviation values and take the average;

[0056] S4, use the deviation degree to represent the change of the bearing capacity of the bridge.

[0057] In summary, the embodiment does not need to interrupt the traffic of the bridge when detecting the bearing capacity of the bridge. And the measurement can be based on the actual vehicle flow, and the bearing capacity of the bridge can be monitored for a long time.

[0058] Those skilled in the art can clearly understand that the method according to the above-mentioned embodiments can be realized by means of software on a general hardware platform, and of course can also be realized by hardware, but in many cases the former is a better implementation. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disk) and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device) to execute the method described in the various embodiments of the present application.

[0059] In this embodiment, a video classification device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and is contemplated.

[0060] Figure 4 is a structural block diagram of a video classification device according to an embodiment of the present application, as shown in Figure 4 , the device comprises:

[0061] A first acquisition module 42 is configured to acquire a plurality of first loads of a bridge in a first time period, wherein the first load includes a weight acting on the bridge;

[0062] A second acquisition module 44 is configured to acquire first structural change data corresponding to each of the first loads of the bridge in the first time period, to obtain a plurality of the first structural change data;

[0063] A first generation module 46 is configured to generate a target deviation curve using the plurality of first loads and the plurality of first structural change data, wherein the target deviation curve includes a corresponding relationship between the first load and the corresponding first structural change data;

[0064] A first determination module 48 is configured to determine the carrying capacity of the bridge in the first time period based on the target deviation curve and an original deviation curve, wherein the original deviation curve includes a corresponding relationship between a second load and a corresponding second structural change data.

[0065] In an exemplary embodiment, the first acquisition module comprises:

[0066] A first acquisition unit is configured to acquire a weight acting on the bridge at a plurality of predetermined positions in the first time period;

[0067] The first determining unit is configured to determine an average of the plurality of weights at each of the preset positions as a load at each of the preset positions, to obtain a plurality of first loads.

[0068] In an example embodiment, the second obtaining module comprises:

[0069] The second obtaining unit is configured to obtain, by a sensor, first structural change data corresponding to the loads within the first time period, wherein the sensor is arranged at a plurality of preset positions on the bridge.

[0070] In an example embodiment, the first generating module comprises:

[0071] The second determining unit is configured to determine first structural change data corresponding to each of the loads within the first time period.

[0072] The first drawing unit is configured to draw a correspondence between each of the first loads and the corresponding first structural change data, to generate the target deviation curve.

[0073] In an example embodiment, the device further comprises:

[0074] The third obtaining module is configured to, before determining the load-carrying capacity of the bridge within the first time period based on the target deviation curve and the original deviation curve, obtain a plurality of second loads of the bridge within a second time period, wherein the second loads comprise weights acting on the bridge, and the second time period is earlier than the first time period.

[0075] The fourth obtaining module is configured to obtain second structural change data corresponding to each of the second loads within the second time period of the bridge, to obtain a plurality of the second structural change data.

[0076] The first drawing module is configured to draw a correspondence between each of the second loads and the corresponding second structural change data, to generate the original deviation curve.

[0077] In an example embodiment, the first determining module comprises:

[0078] The first finding unit is configured to find, in the original deviation curve, a plurality of second loads that are identical to the plurality of first loads in terms of position and weight on the bridge.

[0079] The third determining unit is configured to determine a plurality of second structural change data corresponding to the plurality of second loads.

[0080] A fourth determining unit is configured to determine the load-carrying capacity of the bridge in the first time period according to the plurality of second structural change data and the plurality of first structural change data.

[0081] In an example embodiment, the fourth determining unit comprises:

[0082] A first processing sub-unit is configured to perform the following operations on each of the first structural change data and the corresponding second structural change data to obtain a plurality of deviation rates: calculating a first difference value between a first deviation value in the first structural change data and a second deviation value in the corresponding second structural change data, wherein the first deviation value and the second deviation value are both used to represent a change value of the structural change of the bridge; and determining a ratio between the first difference value and the second deviation value as the deviation rate.

[0083] A first determining sub-unit is configured to determine the load-carrying capacity of the bridge in the first time period according to an average value of the plurality of deviation rates.

[0084] In an example embodiment, the first determining sub-unit comprises:

[0085] A first determining sub-module is configured to determine a second difference value between 1 and the deviation rate as the load-carrying capacity of the bridge in the first time period.

[0086] It should be noted that each of the above modules can be implemented by software or hardware, and for the latter, the following implementation manners can be used, but are not limited thereto: all of the modules are located in the same processor; or each of the modules is located in a different processor in any combination.

[0087] Embodiments of the present application also provide a computer readable storage medium, which stores a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

[0088] In the present embodiment, the computer readable storage medium can be configured to store the computer program for executing the above steps.

[0089] In an example embodiment, the computer readable storage medium can include, but is not limited to, a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store computer programs.

[0090] The embodiment of the present application further provides an electronic device, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps in any of the above method embodiments.

[0091] In an example embodiment, the electronic device further comprises a transmission device connected to the processor and an input / output device connected to the processor.

[0092] In an example embodiment, the processor is configured to execute the above steps through the computer program.

[0093] The specific examples in the embodiment can refer to the examples described in the above embodiments and example embodiments, and the embodiment will not be described here again.

[0094] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be realized by general computing devices, which can be concentrated on a single computing device or distributed on a network composed of multiple computing devices, and they can be realized by program codes executable by the computing devices, so that they can be stored in storage devices and executed by the computing devices, and in some cases, the steps shown or described can be executed in different order, or they can be manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.

[0095] The above only describes the preferred embodiments of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method of determining the load carrying capacity of a bridge, characterised by, The method comprises the following steps: acquiring a plurality of first loads of a bridge in a first time period, wherein the first loads include weights acting on the bridge; dividing the bridge into a plurality of road sections, acquiring the weights borne by each of the road sections when a vehicle travels through the road sections, acquiring structural change data corresponding to the weights borne by each of the road sections, acquiring first structural change data corresponding to each of the first loads of the bridge in the first time period, and obtaining a plurality of the first structural change data, wherein one or more sensors are arranged in each of the road sections; generating a target deviation curve by using the plurality of first loads and the plurality of first structural change data, wherein the target deviation curve includes a corresponding relationship between the first loads and the corresponding first structural change data; determining a bearing capacity of the bridge in the first time period based on the target deviation curve and an original deviation curve, wherein the original deviation curve includes a corresponding relationship between second loads and corresponding second structural change data; determining the bearing capacity of the bridge in the first time period based on the target deviation curve and the original deviation curve, comprising: finding a plurality of second loads in the original deviation curve, the second loads having the same positions and weights in the bridge as the plurality of first loads; determining a plurality of second structural change data corresponding to the plurality of second loads; performing the following operations on each of the first structural change data and each of the corresponding second structural change data to obtain a plurality of deviation rates: calculating a first difference value between a first deviation value in the first structural change data and a second deviation value in the corresponding second structural change data, wherein the first deviation value and the second deviation value are used to represent change values of structural changes of the bridge; determining a ratio between the first difference value and the second deviation value as the deviation rate; determining the bearing capacity of the bridge in the first time period based on an average value of the plurality of deviation rates; acquiring a plurality of first loads of a bridge in a first time period, comprising: acquiring weights acting on a plurality of preset positions of the bridge in the first time period; and determining an average value of the weights at each of the preset positions as a load at each of the preset positions to obtain a plurality of first loads.

2. The method of claim 1, wherein, acquiring first structural change data of the bridge corresponding to each of the first loads in the first time period to obtain a plurality of the first structural change data, comprising: acquiring, by a sensor, first structural change data corresponding to the first loads in the first time period, wherein the sensor is arranged at a plurality of preset positions of the bridge.

3. The method of claim 1, wherein, generating a target deviation curve by using the plurality of first loads and the plurality of first structural change data, comprising: determining corresponding first structural change data of each of the first loads in the first time period; drawing a corresponding relationship between each of the first loads and the corresponding first structural change data to generate the target deviation curve.

4. The method of claim 1, wherein, Before determining the carrying capacity of the bridge in the first time period based on the target deviation curve and the original deviation curve, the method further comprises: obtaining a plurality of second loads of the bridge in a second time period, wherein the second load comprises a weight acting on the bridge, and the second time period is earlier than the first time period; obtaining second structural change data corresponding to each of the second loads of the bridge in the second time period, to obtain a plurality of second structural change data; drawing a correspondence between each of the second loads and the corresponding second structural change data to generate the original deviation curve.

5. The method of claim 1, wherein, Determining the carrying capacity of the bridge in the first time period based on the average of a plurality of deviation rates comprises: determining a second difference between a preset value and the deviation rate as the carrying capacity of the bridge in the first time period.

6. A determination device for implementing the determination method of the load-carrying capacity of a bridge according to claim 1, characterized in that, Comprise: The first obtaining module is used for obtaining a plurality of first loads of the bridge in a first time period, wherein the first load comprises a weight acting on the bridge; The second obtaining module is used for obtaining a plurality of first structural change data corresponding to each of the first loads of the bridge in the first time period; The first generation module is used for generating a target deviation curve by using a plurality of first loads and a plurality of first structural change data, wherein the target deviation curve comprises a correspondence between the first load and the corresponding first structural change data; The first determination module is used for determining the carrying capacity of the bridge in the first time period based on the target deviation curve and the original deviation curve, wherein the original deviation curve comprises a correspondence between the second load and the corresponding second structural change data; The first determination module is further used for finding a plurality of second loads in the original deviation curve, which have the same position and weight as the plurality of first loads in the bridge; determining a plurality of second structural change data corresponding to the plurality of second loads; performing the following operations on each of the first structural change data and each of the corresponding second structural change data to obtain a plurality of deviation rates: calculating a first difference between a first deviation value in the first structural change data and a second deviation value in the corresponding second structural change data, wherein the first deviation value and the second deviation value are both used to represent a change value of the structural change of the bridge; determining a ratio between the first difference and the second deviation value as the deviation rate; determining the carrying capacity of the bridge in the first time period based on the average of a plurality of deviation rates; The first obtaining module comprises: a first obtaining unit, configured to obtain a plurality of weights acting on a plurality of preset positions of the bridge in the first time period; and a first determination unit, configured to determine an average of a plurality of weights at each of the preset positions as a load at each of the preset positions, to obtain a plurality of first loads. The device is also used to divide the bridge into multiple sections, and obtain the weight carried by each section when a vehicle drives through the multiple sections; and obtain the corresponding structural change data of the weight carried by each section, wherein one or more sensors are arranged in each section.

Citation Information

Patent Citations

  • Method for determining rigid change of bridge structure based on deformation data of bridge health monitoring

    CN105067209A