CN116226966A - Method and device for determining bridge bearing capacity, storage medium and electronic device - Google Patents

Abstract

The application discloses a method and a device for determining bridge bearing capacity, a storage medium and an electronic device, wherein the method for determining the bridge bearing capacity comprises the following steps: acquiring a plurality of first loads of the bridge in a first time period; generating a target deviation curve by using a plurality of first loads and a plurality of first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the 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 the original deviation curve. The invention solves the problems of high cost and large detection error caused by the need of interrupting bridge traffic when the bearing capacity of the bridge is detected in the related technology, and achieves the effects of reducing the detection cost of the bridge and improving the detection accuracy.

Description

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

Technical Field

The application relates to the field of bridges, in particular to a determination device and a storage medium for bridge bearing capacity and an electronic device.

Background

For a newly built bridge, the design and construction quality of a bridge span structure are checked through a load test, the reliability of engineering is determined, a reliable basis is provided for smooth input operation of the bridge, meanwhile, complete initial fingerprint data is provided for long-term monitoring of the bridge, and actual measurement test data is accumulated for the design and construction of the bridge of the same type. In particular to an important means for checking and accepting and evaluating the quality of bridge crossing (completion) works with large span and complex structures. The construction quality of the bridge can be checked through a load test. Load tests include static load tests and dynamic load tests. The static load test is used for carrying out field test analysis on the bridge structure, and the dynamic load test is used as an auxiliary means of the static test to supplement and perfect a static test scheme. The static load test method has the characteristics of strong feasibility and the like, is mostly used for completion acceptance of a new bridge or evaluation work under the condition that the operation condition and the bearing capacity performance of the bridge cannot be known, but adopts a static load test method to use a large amount of manpower and material resources, has higher cost and longer test period, and can possibly cause serious damage to bridge components in the test process to influence normal traffic, so that the static load test method is difficult to popularize. Compared with static load experiments, the dynamic load experiment is small in scale, low in cost and capital, short in test period and simple and convenient to operate. However, the dynamic load test has certain limitation in the application process, and the corresponding data measured in the test have larger deviation from the theoretically calculated data due to relatively lower dynamic test level, so that the specified precision requirement is not met.

Aiming at the problems of high cost and large detection error caused by the need of interrupting bridge traffic when the bearing capacity of the bridge is detected in the related technology, no effective solution has been proposed in the related technology.

Disclosure of Invention

The embodiment of the invention provides a method and a device for determining the bearing capacity of a bridge, a storage medium and an electronic device, which are used for at least solving the problems of high cost and large detection error caused by interruption of bridge traffic when the bearing capacity of the bridge is detected in the related technology.

According to one embodiment of the invention, a method for determining the bearing capacity of a bridge is provided, which comprises the following steps: acquiring a plurality of first loads of the bridge in a first time period, wherein the first loads comprise weights acting on the bridge; acquiring first structure change data of the bridge corresponding to each first load in the first time period, and acquiring a plurality of first structure change data; generating a target deviation curve by using the first loads and the first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the 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, wherein the original deviation curve comprises a corresponding relation between a second load and corresponding second structural change data.

According to another embodiment of the present invention, there is provided a device for determining a bridge bearing capacity, including: a first acquisition module for acquiring a plurality of first loads of a bridge over a first period of time, wherein the first loads include weights acting on the bridge; the second acquisition module is used for acquiring first structure change data of the bridge corresponding to each first load in the first time period to obtain a plurality of first structure change data; the first generation module is used for generating a target deviation curve by utilizing a plurality of first loads and a plurality of first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the corresponding first structure change data; and the first determining module is used for determining the 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 comprises a corresponding relation between a second load and corresponding second structural change data.

In an exemplary embodiment, the first obtaining module includes: a first acquisition unit configured to acquire weights acting at a plurality of preset positions on the bridge in the first period; and a first determining unit configured to determine an average value of the plurality of weights at each of the preset positions as a load at each of the preset positions, and obtain a plurality of first loads.

In an exemplary embodiment, the second obtaining module includes: and the second acquisition unit is used for acquiring first structural change data corresponding to the first load through a sensor in the first time period, wherein the sensor is arranged at a plurality of preset positions on the bridge.

In an exemplary embodiment, the first generating module includes: a second determining unit, configured to determine corresponding first structural change data of each of the first loads in the first period; and a first plotting unit configured to plot a correspondence between each of the first loads and corresponding first structural change data to generate the target deviation curve.

In an exemplary embodiment, the above apparatus further includes: a third obtaining module, configured to obtain a plurality of second loads of the bridge in a second period of time before determining a bearing capacity of the bridge in the first period of time based on the target deviation curve and the original deviation curve, where the second load includes a weight acting on the bridge, and the second period of time is earlier than the first period of time; a fourth obtaining module, configured to obtain second structural change data of the bridge corresponding to each second load in the second period of time, to obtain a plurality of second structural change data; and the first drawing module is used for drawing the corresponding relation between each second load and the corresponding second structure change data so as to generate the original deviation curve.

In an exemplary embodiment, the first determining module includes: the first searching unit is used for searching a plurality of second loads with the same positions and weights as the plurality of first loads in the bridge in the original deviation curve; a third determining unit configured to determine a plurality of second structural change data corresponding to a plurality of second loads; and a fourth determining unit configured to determine a bearing capacity of the bridge in the first period of time by using the plurality of second structural change data and the plurality of first structural change data.

In an exemplary embodiment, the fourth determining unit includes: a first processing subunit, configured to perform 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 used for representing a change value of structural change of the bridge; determining a ratio between the first difference and the second deviation as the deviation rate; and the first determination subunit is used for determining the bearing capacity of the bridge in the first time period based on the average value of the deviation rates.

In one exemplary embodiment, the first determining subunit includes: and the first determining submodule is used for 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.

According to a further embodiment of the invention, there is also provided a computer readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.

According to a further embodiment of the invention, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.

By the invention, a plurality of first loads of the bridge in a first time period are acquired, wherein the first loads comprise the weight acted on the bridge; acquiring first structure change data of the bridge corresponding to each first load in the first time period, and obtaining a plurality of first structure change data; generating a target deviation curve by using the first loads and the first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the 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 the original deviation curve, wherein the original deviation curve comprises a corresponding relation between the second load and corresponding second structural change data. In the method, when the bearing capacity of the bridge in the first time period is determined, the target deviation curve is determined only by using the acquired first load of the bridge in the first time period and corresponding first structural change data, and the bearing capacity of the bridge can be determined from the target deviation curve and the original deviation curve without interrupting traffic on the bridge or having limitation in the application process. Therefore, the problems of bridge traffic interruption, high cost and large detection error in the related technology when the bearing capacity of the bridge is detected can be solved, and the effects of reducing the detection cost of the bridge and improving the detection accuracy are achieved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.

Fig. 1 is a hardware block diagram of a mobile terminal according to a method for determining a bridge bearing capacity according to an embodiment of the present invention;

FIG. 2 is a flow chart of a method of determining bridge bearing capacity according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of acquiring load data according to an embodiment of the invention;

fig. 4 is a block diagram of a video classification apparatus according to an embodiment of the invention.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

First, the related art related to the present invention will be described:

the load of the bridge refers to the collective term of various possible loads considered by bridge structural design, including constant load, live load and other loads.

The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the operation on a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of a mobile terminal according to a method for determining a bridge bearing capacity according to an embodiment of the present invention. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.

The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a method for determining a bridge bearing capacity in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the method described above. 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 examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network I nterface Contro l l er, abbreviated NIC) that can communicate with other network equipment via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (Rad i o Frequency, abbreviated as RF) module for communicating with the internet wirelessly.

In this embodiment, a method for determining a bridge bearing capacity is provided, and fig. 2 is a flowchart of a method for determining a bridge bearing capacity according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:

step S202, obtaining a plurality of first loads of the bridge in a first time period, wherein the first loads comprise the weight acted on the bridge;

step S204, obtaining first structure change data of the bridge corresponding to each first load in a first time period, and obtaining a plurality of first structure change data;

step S206, generating a target deviation curve by utilizing a plurality of first loads and a plurality of first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the corresponding first structure change data;

and step S208, determining the bearing 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 corresponding relation between the second load and corresponding second structural change data.

Alternatively, the first time period may be flexibly set based on the actual scene, or may be the current time period. For example, when it is required to detect the load-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), a plurality of first loads of the bridge in the current time period are acquired correspondingly, and first structural change data of the bridge corresponding to each first load in the current time period are acquired.

Optionally, the first load includes weights acting on the bridge and is real-time in time, and the position of each weight is changed, and one weight corresponds to one position on one bridge. For example, the bridge is divided into 5 paths, and the weight carried by each path is obtained in real time when the vehicle runs through the 5 paths. Since the vehicle is moving, the weight distribution position will be different, as will the deviation from the sensor. One or more sensors are required to be arranged in each path to acquire structural change data corresponding to the weight carried by each path. 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.

Alternatively, the original deflection curve may be a deflection curve plotted at the optimal load carrying capacity of the bridge as it is just built. Or may be a deviation curve plotted over any period of bridge use. With this as a reference, the change in the bearing capacity of the bridge between the two time periods can be determined, thereby determining the bearing capacity of the bridge in the first time period.

The main body of execution of the above steps may be a specific processor provided in a terminal, a server, a terminal or a server, or a processor or a processing device provided separately from the terminal or the server, but is not limited thereto.

Through the steps, a plurality of first loads of the bridge in a first time period are obtained, wherein the first loads comprise the weight acted on the bridge; acquiring first structure change data of the bridge corresponding to each first load in the first time period, and obtaining a plurality of first structure change data; generating a target deviation curve by using the first loads and the first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the 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 the original deviation curve, wherein the original deviation curve comprises a corresponding relation between the second load and corresponding second structural change data. In the method, when the bearing capacity of the bridge in the first time period is determined, the target deviation curve is determined only by using the acquired first load of the bridge in the first time period and corresponding first structural change data, and the bearing capacity of the bridge can be determined from the target deviation curve and the original deviation curve without interrupting traffic on the bridge or having limitation in the application process. Therefore, the problems of bridge traffic interruption, high cost and large detection error in the related technology when the bearing capacity of the bridge is detected can be solved, and the effects of reducing the detection cost of the bridge and improving the detection accuracy are achieved.

In one exemplary embodiment, acquiring a plurality of first loads of a bridge over a first period of time includes: acquiring weights acting at a plurality of preset positions on the bridge in the first time period; and determining an average value of the weights at each preset position as a load at each preset position to obtain a plurality of first loads. In this embodiment, the plurality of preset positions may be flexibly set based on the length of the bridge, for example, dividing a longer bridge into 5 paths, dividing a shorter bridge into 3 paths, and the like. Since the vehicle is moving, there will be a different load at each location. By determining the average value of the plurality of loads at each position as the first load at each position, the first load at each position can be accurately determined.

In an exemplary embodiment, obtaining first structural change data of the bridge corresponding to each of the first loads in the first period of time, to obtain a plurality of first structural change data includes: and in the first time period, acquiring first structural change data corresponding to the first load through a sensor, wherein the sensor is arranged at a plurality of preset positions on the bridge. In this embodiment, one or more sensors may be provided at each preset position, and in the case where a plurality of sensors are included, an average value of a plurality of structural data acquired by the plurality of sensors may be determined as the first structural data of each preset position. Thereby increasing the accuracy of acquiring the first structural data.

In one exemplary embodiment, generating a target deviation curve using the plurality of first loads and the plurality of first structural change data includes: determining corresponding first structural change data of each first load in the first time period; and drawing a corresponding relation between each first load and corresponding first structure change data to generate the target deviation curve. In the present embodiment, for example, the degree of deviation of the bridge is 4mm when the first load is 10 tons, and the degree of deviation of the bridge is 8mm when the first load is 100 tons. According to the embodiment, the corresponding relation between each load and corresponding structural change data in the first time period can be intuitively reflected by drawing the target deviation curve.

In an exemplary embodiment, before determining the bearing capacity of the bridge in the first period of time based on the target departure curve and the original departure curve, the method further includes: obtaining a plurality of second loads of the bridge in 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; acquiring second structure change data of the bridge corresponding to each second load in the second time period to obtain a plurality of second structure change data; and drawing a corresponding relation between each second load and corresponding second structure change data to generate the original deviation curve. In this embodiment, by drawing the original deviation curve, the correspondence between each load and the corresponding structural change data in the second time period may be intuitively reflected.

In one exemplary embodiment, determining the load bearing capacity of the bridge over the first period of time based on the target departure curve and the original departure curve includes: searching a plurality of second loads with the same positions and weights as the plurality of first loads in the bridge in the original deviation curve; determining a plurality of second structure change data corresponding to the second loads; and determining the bearing capacity of the bridge in the first time period by using the plurality of second structural change data and the plurality of first structural change data.

Optionally, determining the bearing capacity of the bridge in the first period of time by using the plurality of second structural change data and the plurality of first structural change data includes: the following operations are performed on each of the first structural change data and each of the corresponding second structural change data, so as 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 used for representing a change value of structural change of the bridge; determining a ratio between the first difference and the second deviation as the deviation rate; and determining the bearing capacity of the bridge in the first time period based on the average value of the deviation rates. Optionally, determining the bearing capacity of the bridge in the first period of time based on an average value of a plurality of the deviation rates includes: and determining a second difference value between the 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 deflection curve is 10 tons, the first deflection value of the bridge is 4mm; the second deflection value of the bridge is 3.5mm when the second load in the original deflection curve is 10 tons; it can be calculated that the first difference is 0.5mm and the deviation is 0.14. The degree of deflection of the bridge is 5mm when the first load in the deflection curve is 20 tons; when the second load in the original deviation curve is 10 tons, the deviation degree of the bridge is 4mm; it can be calculated that the first difference is 1mm and the first deviation is 0.33. The average of 0.14 and 0.33 is 0.24, and the bearing capacity of the bridge in the first period is (1-0.24) 100% = 76% of the original bearing capacity. In this embodiment, the preset value may be a natural number, for example, 1 or 0.8. For example, 0.24 is a value representing the attenuation of the bearing capacity of the bridge, 1 minus the average value is the change of the bearing capacity of the bridge, that is, how much the current bearing capacity is before, and 1 represents that the bearing capacity of the bridge can reach 100%, which is the most ideal bearing capacity. The final output is also a percentage, and the load bearing capacity is evaluated, for example, 100% is calculated as the load bearing capacity is unchanged, 80% is just the previous 80%, and the deviation rate is 20%. According to the embodiment, the bearing capacity of the bridge can be accurately determined by calculating the average value of the deviation rate of the bridge.

The present application is described below in connection with specific embodiments:

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

s1, a load-deflection curve (corresponding to the deflection curve described above) is generated periodically (e.g., for one month). Periodically (for example, one minute) collecting bridge deck dynamic load data (corresponding to the first load in the above description) output by a bridge deck load distribution detection system; synchronously collecting sensor data (including the first structural change data) output by the bridge structural monitoring system; recording the deviation rate of real-time data and zero data of a sensor; a bridge dynamic load versus sensor departure rate curve (corresponding to the target departure curve described above) is generated.

Optionally, the zero point data can be determined by detecting the dynamic load of the bridge by the bridge deck load distribution detection system, and giving a sensor zero point record signal when the load is 0, i.e. no vehicle is on the bridge; when the bridge structure monitoring system receives the zero point recording signals of the sensors, the output signals of the sensors in the bridge structure monitoring system are recorded; the sensor output signal at this point is taken as the sensor zero point.

And S2, taking the generated first load-deflection curve as an initial curve (corresponding to the original deflection curve in the above description) of the bridge. The load in the initial curve can be obtained as shown in fig. 3, for example, 48 large trucks are divided into 8 rows, 6 large trucks in each row sequentially travel to a fixed position for symmetrical and eccentric detection, load tests are sequentially carried out on the large bridge, the real bearing capacity of the large bridge is comprehensively assessed, and the impact coefficient of the automobile at the corresponding control part of the large bridge structure is tested. Meanwhile, technicians test the bridge bearing condition at multiple angles.

S3, carrying out offset analysis on a load-deflection curve generated according to the period and an initial load-deflection curve of the bridge, wherein the offset analysis specifically comprises the following steps:

1) Selecting a comparison point, such as a group of uniformly distributed dynamic load points;

2) Reading the deviation degree under the dynamic load from the current load-deviation degree curve and the original load-deviation degree curve;

3) Calculating a deviation value of the degree of deviation under the load;

4) Summing and averaging all deviation values;

and S4, representing the bearing capacity change of the bridge by using the deflection degree.

In summary, in the present embodiment, when detecting the bearing capacity of the bridge, the bridge traffic is not required to be interrupted. And the bearing capacity of the bridge can be monitored for a long time based on the actual traffic flow vehicles.

From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.

The embodiment also provides a video classification device, which is used for implementing the above embodiment and the preferred implementation, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

Fig. 4 is a block diagram of a video classification apparatus according to an embodiment of the present invention, as shown in fig. 4, the apparatus including:

a first acquisition module 42 for acquiring a plurality of first loads of a bridge over a first period of time, wherein the first loads include a weight acting on the bridge;

a second obtaining module 44, configured to obtain first structural change data of the bridge corresponding to each of the first loads in the first period of time, so as to obtain a plurality of first structural change data;

a first generating module 46, configured to generate a target deviation curve using a plurality of the first loads and a plurality of the first structural change data, where the target deviation curve includes a correspondence between the first loads and the corresponding first structural change data;

a first determining module 48, configured to determine a bearing capacity of the bridge in the first period of time based on the target deviation curve and an original deviation curve, where the original deviation curve includes a correspondence between a second load and corresponding second structural change data.

In an exemplary embodiment, the first obtaining module includes:

a first acquisition unit configured to acquire weights acting at a plurality of preset positions on the bridge in the first period;

and a first determining unit configured to determine an average value of the plurality of weights at each of the preset positions as a load at each of the preset positions, and obtain a plurality of first loads.

In an exemplary embodiment, the second obtaining module includes:

and the second acquisition unit is used for acquiring first structural change data corresponding to the load through a sensor in the first time period, wherein the sensor is arranged at a plurality of preset positions on the bridge.

In an exemplary embodiment, the first generating module includes:

a second determining unit, configured to determine corresponding first structural change data of each load in the first period;

and a first plotting unit configured to plot a correspondence between each of the first loads and corresponding first structural change data to generate the target deviation curve.

In an exemplary embodiment, the above apparatus further includes:

a third obtaining module, configured to obtain a plurality of second loads of the bridge in a second period of time before determining a bearing capacity of the bridge in the first period of time based on the target deviation curve and the original deviation curve, where the second load includes a weight acting on the bridge, and the second period of time is earlier than the first period of time;

a fourth obtaining module, configured to obtain second structural change data of the bridge corresponding to each second load in the second period of time, to obtain a plurality of second structural change data;

and the first drawing module is used for drawing the corresponding relation between each second load and the corresponding second structure change data so as to generate the original deviation curve.

In an exemplary embodiment, the first determining module includes:

the first searching unit is used for searching a plurality of second loads with the same positions and weights as the plurality of first loads in the bridge in the original deviation curve;

a third determining unit configured to determine a plurality of second structural change data corresponding to a plurality of second loads;

and a fourth determining unit configured to determine a bearing capacity of the bridge in the first period of time by using the plurality of second structural change data and the plurality of first structural change data.

In an exemplary embodiment, the fourth determining unit includes:

a first processing subunit, configured to perform 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 used for representing a change value of structural change of the bridge; determining a ratio between the first difference and the second deviation as the deviation rate;

and the first determination subunit is used for determining the bearing capacity of the bridge in the first time period based on the average value of the deviation rates.

In one exemplary embodiment, the first determining subunit includes:

and the first determining submodule is used for determining a second difference value between 1 and the deviation rate as the bearing capacity of the bridge in the first time period.

It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.

Embodiments of the present invention also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.

In the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for executing the above steps.

In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.

An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.

In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.

In an exemplary embodiment, the above processor may be arranged to perform the above steps by means of a computer program.

Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.

It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for determining the load-bearing capacity of a bridge, comprising:

obtaining a plurality of first loads of a bridge over a first period of time, wherein the first loads comprise weights acting on the bridge;

acquiring first structure change data of the bridge corresponding to each first load in the first time period, and obtaining a plurality of first structure change data;

generating a target deviation curve by using the first loads and the first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the 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, wherein the original deviation curve comprises a corresponding relation between a second load and corresponding second structural change data.

2. The method of claim 1, wherein acquiring a plurality of first loads of the bridge over a first period of time comprises:

acquiring weights acting at a plurality of preset positions on the bridge in the first time period;

and determining an average value of the weights at each preset position as a load at each preset position to obtain a plurality of first loads.

3. The method of claim 1, wherein obtaining first structural change data of the bridge corresponding to each of the first loads over the first period of time, obtaining a plurality of the first structural change data, comprises:

and in the first time period, acquiring first structural change data corresponding to the first load through a sensor, wherein the sensor is arranged at a plurality of preset positions on the bridge.

4. The method of claim 1, wherein generating a target departure curve using the plurality of first loads and the plurality of first structural change data comprises:

determining corresponding first structural change data for each of the first loads over the first time period;

and drawing a corresponding relation between each first load and corresponding first structure change data to generate the target deviation curve.

5. The method of claim 1, wherein prior to determining the load bearing capacity of the bridge over the first period of time based on the target departure curve and the original departure curve, the method further comprises: obtaining a plurality of second loads of the bridge over a second period of time, wherein the second loads comprise weights acting on the bridge, wherein the second period of time is earlier than the first period of time;

acquiring second structure change data of the bridge corresponding to each second load in the second time period, and obtaining a plurality of second structure change data;

and drawing a corresponding relation between each second load and corresponding second structure change data to generate the original deviation curve.

6. The method of claim 1, wherein determining the load bearing capacity of the bridge over the first period of time based on the target departure curve and an original departure curve comprises:

searching a plurality of second loads with the same positions and weights as the first loads in the bridge in the original deviation curve;

determining a plurality of second structure change data corresponding to a plurality of second loads;

and determining the bearing capacity of the bridge in the first time period by utilizing the second structural change data and the first structural change data.

7. The method of claim 6, wherein determining the load bearing capacity of the bridge over the first period of time using the plurality of second structural change data and the plurality of first structural change data comprises:

the following operations are executed on each first structure change data and each corresponding second structure change data, so that a plurality of deviation rates are obtained:

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 for representing a change value of structural change of the bridge;

determining a ratio between the first difference and the second deviation value as the deviation rate;

and determining the bearing capacity of the bridge in the first time period based on the average value of a plurality of the deviation rates.

8. The method of claim 7, wherein determining the load bearing capacity of the bridge over the first period of time based on an average of a plurality of the deviation rates comprises:

and 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.

9. A device for determining the load-carrying capacity of a bridge, comprising:

a first acquisition module for acquiring a plurality of first loads of a bridge over a first period of time, wherein the first loads include weights acting on the bridge;

the second acquisition module is used for acquiring first structure change data of the bridge corresponding to each first load in the first time period to obtain a plurality of first structure change data;

the first generation module is used for generating a target deviation curve by utilizing a plurality of first loads and a plurality of first structure change data, wherein the target deviation curve comprises a corresponding relation between the first loads and the corresponding first structure change data;

and the first determining module is used for determining the 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 comprises a corresponding relation between a second load and corresponding second structural change data.

10. The apparatus of claim 9, wherein the first acquisition module comprises:

a first acquisition unit configured to acquire weights acting at a plurality of preset positions on the bridge in the first period of time;

and the first determining unit is used for determining the average value of the weights at each preset position as the load at each preset position to obtain a plurality of first loads.

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