Steel gate life evaluation method, device, equipment and storage medium

Abstract

The embodiment of the application provides a steel gate life evaluation method, device, equipment and storage medium, and belongs to the technical field of metal structure safety evaluation. The steel gate life evaluation comprises the following steps: acquiring actual gate parameter data and real-time operation data; establishing a gate digital twin model according to the actual gate parameter data; performing data inversion on the gate digital twin model to determine a simulated load resultant force and a simulated main beam deflection; and determining a gate expected residual life by using the gate digital twin model based on the real-time operation data, the simulated load resultant force and the simulated main beam deflection. That is, the embodiment of the application establishes a gate digital twin model based on actual gate parameters to simulate actual gate full-cycle operation parameters based on actual operation data. The gate expected life is determined, the gate expected life is objective and reliable, and the gate full-cycle operation parameters are simulated by using the gate digital twin model, so that damage to the gate can be avoided and the gate has priori.

Description

Technical Field

[0001] This invention relates to the field of metal structure safety assessment technology, specifically to a method for assessing the lifespan of a steel gate, a device for assessing the lifespan of a steel gate, an electronic device, and a readable storage medium. Background Technology

[0002] Hydropower station steel gates are subjected to hydraulic and freezing loads, corrosion, aging, and other damage during operation. Different operating conditions also cause them to experience vibration and fatigue. In my country, steel gates commonly exceed their service life, and their maintenance is currently conducted primarily through periodic inspections. Therefore, as the foundation and prerequisite for ensuring the safety of hydropower energy under complex operating environments, steel gate structures urgently require comprehensive structural health monitoring and structural behavior diagnosis. This is to achieve a precise, efficient, and systematic assessment of the safe operating performance of steel gate structures under highly complex operating conditions, predict their remaining lifespan, and facilitate effective operation and maintenance management.

[0003] Current steel gate design standards employ the allowable stress method, which assesses the gate's condition through periodic inspections combined with finite element analysis for lifespan evaluation. Inspection data includes appearance, corrosion characteristics such as residual thickness, rust rate, and electrode potential. However, the gate operation data obtained using this method cannot reflect the gate's operational status throughout its entire lifecycle, and the methods only measure operational data after damage, lacking prior knowledge. Summary of the Invention

[0004] The purpose of this invention is to provide a method, apparatus, device, and storage medium for assessing the lifespan of steel gates, in order to solve the aforementioned technical problems.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for evaluating the lifespan of a steel gate, the method comprising:

[0006] Acquire actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data;

[0007] Based on the actual gate parameter data, a digital twin model of the gate is established;

[0008] Data inversion was performed on the digital twin model of the gate to determine the resultant force of the simulated load and the deflection of the simulated main beam of the simulated gate under different corrosion intensities.

[0009] Based on the real-time operating data, the resultant force of the simulated load, and the deflection of the simulated main beam, the expected remaining lifespan of the gate is determined using the digital twin model of the gate.

[0010] Optionally, determining the expected remaining lifespan of the gate based on the real-time operating data, the simulated load resultant force, and the simulated main beam deflection, using a digital twin model of the gate, includes:

[0011] Based on the real-time operating data, the actual corrosion intensity information of the gate is determined;

[0012] Based on the actual corrosion intensity information, the resultant force of the simulated load, and the deflection of the simulated main beam, the expected remaining life of the gate is determined using a digital twin model of the gate.

[0013] Optionally, determining the actual corrosion intensity information of the gate based on the real-time operating data includes:

[0014] Based on the actual corrosion rate data, the corrosion rate was determined.

[0015] Based on the corrosion rate and the actual load data, the gate thinning data were determined;

[0016] Based on the gate thinning data, the actual corrosion intensity information of the gate is determined.

[0017] Optionally, determining the expected remaining life of the gate based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, using a digital twin model of the gate, includes:

[0018] Based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, the actual load resultant force and actual main beam deflection corresponding to the actual corrosion intensity information are determined.

[0019] Based on the actual resultant load and the actual main beam deflection, the expected lifespan of the gate is determined using the digital twin model of the gate.

[0020] Optionally, determining the expected lifespan of the gate based on the actual resultant load and the actual main beam deflection using the gate's digital twin model includes:

[0021] Based on the actual resultant load and the actual main beam deflection, the time scale of the simulated gate in the digital twin model of the gate is adjusted to a future preset time; wherein, the future preset time is the time when the resultant load of the simulated gate reaches the ultimate resultant load and the deflection of the main beam of the simulated gate reaches the ultimate deflection of the main beam.

[0022] Based on the preset future time and the current time, the expected lifespan of the gate is determined.

[0023] Optionally, after determining the expected remaining lifespan of the gate, the method further includes:

[0024] Based on the real-time operating data, the gate digital twin model is used to generate gate life extension measures information;

[0025] Based on the gate life extension measures information, the actual gate is repaired, and the gate parameters after repair are recorded.

[0026] Optionally, after repairing the actual gate based on the gate life extension measures information and recording the gate parameters after repair, the method further includes:

[0027] The repaired gate parameters are input into the gate digital twin model to update the simulated gate parameters.

[0028] In a second aspect of the present invention, a steel gate life assessment device is provided, the device comprising:

[0029] The data acquisition module is used to acquire actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data;

[0030] The model building module is used to build a digital twin model of the gate based on the actual gate parameter data;

[0031] The data inversion module is used to perform data inversion on the digital twin model of the gate to determine the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities.

[0032] The life assessment module is used to determine the expected remaining life of the gate based on the real-time operating data, the resultant force of the simulated load, and the deflection of the simulated main beam, using a digital twin model of the gate.

[0033] A third aspect of this application provides an electronic device configured to perform the above-described steel gate life assessment method.

[0034] A fourth aspect of this application provides a machine-readable storage medium storing instructions that, when executed by a processor, are configured by the processor to perform the aforementioned steel gate life assessment method.

[0035] This invention acquires actual gate parameter data and actual operating data, then establishes a digital twin model of the gate based on the actual gate parameter data. Data inversion is performed on the digital twin model to determine the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities. Finally, based on real-time operating data, the expected remaining lifespan of the gate is determined using the gate digital twin model. In other words, this invention establishes a gate digital twin model based on actual gate parameters to simulate the operating parameters of the actual gate throughout its entire lifespan. Further, by performing digital inversion on the gate digital twin model, the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities are determined. Due to the correspondence between the simulated gate and the actual gate, the expected lifespan of the actual gate can be determined using the gate digital twin model. This expected lifespan is objective and reliable. Furthermore, this invention, by simulating the gate's operating parameters throughout its entire lifespan using a gate digital twin model, can avoid gate damage and possesses a priori validity.

[0036] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0037] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0038] Figure 1 This is a flowchart illustrating a method for assessing the lifespan of a steel gate according to an embodiment of the present invention;

[0039] Figure 2 This is a schematic diagram of the functional modules of a steel gate life assessment device provided in an embodiment of the present invention. Detailed Implementation

[0040] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this application.

[0042] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0043] Example 1

[0044] Please refer to Figure 1 , Figure 1 This is a schematic diagram of a method for evaluating the lifespan of a steel gate provided in this embodiment.

[0045] Step S100: Obtain actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data.

[0046] Actual load data can be obtained by accelerometers installed on the main beam and support arms of the gate, and the actual load data is collected on a daily basis.

[0047] Actual corrosion level data can be obtained by placing resistance probes in the areas above and below the waterline corresponding to the gate and at the bottom of the gate, and the actual corrosion level data is collected on a monthly basis.

[0048] Actual gate parameters may include the structural parameters of each component of the gate.

[0049] Step S200: Establish a digital twin model of the gate based on the actual gate parameter data.

[0050] This step establishes a digital twin model of the gate based on actual gate parameter data, that is, to create a simulated gate corresponding to the actual gate, so as to use the digital twin model of the gate to simulate the operating status of the actual gate throughout the entire cycle.

[0051] Step S300: Perform data inversion on the digital twin model of the gate to determine the resultant force of the simulated load and the deflection of the simulated main beam of the simulated gate under different corrosion intensities.

[0052] Specifically, this step involves digitally evolving the simulated gate within the digital twin model of the gate to simulate the gate's operating state under different corrosion conditions, thereby obtaining the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities.

[0053] Step S400: Based on the real-time operating data, simulated load resultant force, and simulated main beam deflection, the expected remaining lifespan of the gate is determined using the gate's digital twin model.

[0054] Understandably, a gate digital twin model links an actual gate with a simulated gate, constructs a simulated gate using the parameters of the actual gate, and uses data to simulate the operating parameters of the simulated gate under different corrosion intensities. Furthermore, the gate digital twin model can adjust the time scale of the simulated gate, that is, it can adjust the time scale to a certain point in the future. The operating state of the simulated gate at this point can represent the future operating state of the actual gate, thus realizing the prediction of the operating state of the actual gate.

[0055] This step specifically includes: determining the actual corrosion intensity information of the gate based on real-time operating data; and further determining the expected remaining life of the gate using a digital twin model of the gate, based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection.

[0056] Specifically, based on real-time operating data, the actual corrosion intensity information of the actual gate is determined. This includes: determining the corrosion rate of the actual gate based on the actual corrosion degree data; determining the gate thinning data based on the corrosion rate and load data; further forming a corrosion attenuation curve based on the gate thinning data; and then using the inverse finite element method based on the corrosion attenuation curve to determine the gate strength reduction data under corrosion. Based on the gate strength reduction data, the actual corrosion intensity information of the actual gate is determined.

[0057] Specifically, based on actual corrosion intensity information, simulated load resultant force, and simulated main beam deflection, the expected remaining life of the gate is determined using a digital twin model of the gate. This includes: determining the actual load resultant force and actual main beam deflection corresponding to the actual corrosion intensity information based on the actual corrosion intensity information, the simulated load resultant force under different corrosion intensities, and the simulated main beam deflection; then, based on the actual load resultant force and actual main beam deflection, adjusting the time scale of the simulated gate in the digital twin model of the gate to a future preset time; and finally, determining the expected life of the gate based on the future preset time and the current time. Understandably, the digital twin model of the gate simulates the operating parameters of the gate under different corrosion intensities through data simulation. It can match the actual corrosion intensity information of the actual gate with the corrosion intensity conditions in the model to match the operating parameters of the simulated gate with the same corrosion intensity. These operating parameters are the operating parameters of the actual gate under the actual corrosion intensity. When the time scale of the simulated gate in the digital twin model is adjusted to a future preset time, the resultant load of the simulated gate reaches the ultimate load resultant force, and the deflection of the main beam of the simulated gate reaches the ultimate main beam deflection. That is, the lifespan of the simulated gate reaches the end. The time difference between the future preset time and the current time is the lifespan of the actual gate. This embodiment utilizes a digital twin model to simulate the resultant load of a simulated gate and the deflection of a simulated main beam under different corrosion intensities. By comparing these simulations, the actual resultant load of the actual gate and the actual deflection of the main beam under the current actual corrosion intensity are determined. Then, the time scale of the simulated gate is adjusted using the digital twin model until the simulated gate reaches its lifespan end. Based on the current moment and the future preset moment corresponding to the lifespan end, the expected lifespan of the actual gate is determined. This achieves simulation of different corrosion intensities throughout the gate's entire lifespan, improving the accuracy of lifespan assessment.

[0058] It should be understood that, in order to avoid the problem of shortened lifespan due to wear and tear during actual gate operation, the gate digital twin model proposed in this embodiment can also generate gate life extension measures information based on the real-time operating data of the actual gate, and then repair the actual gate based on the gate life extension measures information, and record the gate parameters after repair. The gate life extension measures may include weld repair, corrosion pit repair, etc.

[0059] Understandably, in order to ensure that the simulated gate in the gate digital twin model can truly simulate the operating state of the actual gate, the simulated gate must be updated in real time according to the gate parameters of the actual gate. Therefore, in this embodiment, after repairing the actual gate, the repaired gate parameters also need to be input into the gate digital twin model to update the simulated gate parameters, so as to ensure the accuracy of the simulated gate.

[0060] This embodiment acquires actual gate parameter data and actual operating data, then establishes a digital twin model of the gate based on the actual gate parameter data. Data inversion is performed on the digital twin model to determine the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities. Finally, based on real-time operating data, the expected remaining lifespan of the gate is determined using the gate digital twin model. In other words, this embodiment establishes a gate digital twin model based on actual gate parameters to simulate the operating parameters of the actual gate throughout its entire lifecycle. Further, by performing digital inversion on the gate digital twin model, the simulated load resultant force and simulated main beam deflection of the simulated gate under different corrosion intensities are determined. Due to the correspondence between the simulated gate and the actual gate, the expected lifespan of the actual gate can be determined using the gate digital twin model. This expected lifespan is objective and reliable. Furthermore, this embodiment, by simulating the gate's operating parameters throughout its entire lifecycle using a gate digital twin model, can avoid gate damage and possesses a priori validity.

[0061] Example 2

[0062] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the functional modules of a steel gate life assessment device 200 provided in an embodiment of this application.

[0063] The data acquisition module 210 is used to acquire actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data;

[0064] The model building module 220 is used to build a digital twin model of the gate based on the actual gate parameter data;

[0065] The data inversion module 230 is used to perform data inversion on the digital twin model of the gate to determine the resultant force of the simulated load and the deflection of the simulated main beam of the simulated gate under different corrosion intensities.

[0066] The life assessment module 240 is used to determine the expected remaining life of the gate based on real-time operating data, simulated load resultant force and simulated main beam deflection, using the gate's digital twin model.

[0067] It should be understood that this device corresponds to the above-described embodiment of the steel gate life assessment method and is capable of performing the various steps involved in the above-described method embodiment. The specific functions of this device can be found in the description above, and detailed descriptions are omitted here to avoid repetition. The device includes at least one software functional module that can be stored in memory or embedded in the device's operating system (OS) in the form of software or firmware.

[0068] Example 3

[0069] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0071] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0072] Example 4

[0073] This invention also provides a computer-readable storage medium storing instructions that, when executed by a processor, are adapted to perform a program containing steps of a steel gate life assessment method.

[0074] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0076] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0078] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.

[0079] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0080] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0081] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for assessing the lifespan of a steel gate, characterized in that, The method includes: Acquire actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data; Based on the actual gate parameter data, a digital twin model of the gate is established; Data inversion was performed on the digital twin model of the gate to determine the resultant force of the simulated load and the deflection of the simulated main beam of the simulated gate under different corrosion intensities. Based on the real-time operating data, the simulated load resultant force, and the simulated main beam deflection, the expected remaining lifespan of the gate is determined using a digital twin model of the gate, including: Based on the real-time operating data, the actual corrosion intensity information of the gate is determined; Based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, the expected remaining life of the gate is determined using the gate's digital twin model. The determination of the actual corrosion intensity information of the gate based on the real-time operating data includes: Based on the actual corrosion rate data, the corrosion rate was determined. Based on the corrosion rate and the actual load data, the gate thinning data were determined; Based on the gate thinning data, the actual corrosion intensity information of the gate is determined; The step of determining the expected remaining life of the gate based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, using a digital twin model of the gate, includes: Based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, the actual load resultant force and actual main beam deflection corresponding to the actual corrosion intensity information are determined. Based on the actual resultant load and the actual main beam deflection, the expected lifespan of the gate is determined using the digital twin model of the gate. The step of determining the expected lifespan of the gate based on the actual resultant load and the actual main beam deflection using the gate's digital twin model includes: Based on the actual resultant load and the actual main beam deflection, the time scale of the simulated gate in the digital twin model of the gate is adjusted to a future preset time; wherein, the future preset time is the time when the resultant load of the simulated gate reaches the ultimate resultant load and the deflection of the main beam of the simulated gate reaches the ultimate deflection of the main beam. Based on the predetermined future time and the current time, the expected lifespan of the gate is determined.

2. The method for assessing the lifespan of a steel gate according to claim 1, characterized in that, After determining the expected remaining lifespan of the gate, the method further includes: Based on the real-time operating data, the gate digital twin model is used to generate gate life extension measures information; Based on the gate life extension measures information, the actual gate is repaired, and the gate parameters after repair are recorded.

3. The method for assessing the lifespan of a steel gate according to claim 2, characterized in that, After repairing the actual gate based on the gate life extension measures information and recording the gate parameters after repair, the method further includes: The repaired gate parameters are input into the gate digital twin model to update the simulated gate parameters.

4. A steel gate life assessment device, characterized in that, The device includes: The data acquisition module is used to acquire actual gate parameter data and real-time operating data; wherein, the real-time operating data includes actual load data and actual corrosion degree data; The model building module is used to build a digital twin model of the gate based on the actual gate parameter data; The data inversion module is used to perform data inversion on the digital twin model of the gate to determine the resultant force of the simulated load and the deflection of the simulated main beam of the simulated gate under different corrosion intensities. The life assessment module is used to determine the expected remaining life of the gate based on the real-time operating data, the resultant force of the simulated load, and the deflection of the simulated main beam, using a digital twin model of the gate. This includes: Based on the real-time operating data, the actual corrosion intensity information of the gate is determined; Based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, the expected remaining life of the gate is determined using the gate's digital twin model. The determination of the actual corrosion intensity information of the gate based on the real-time operating data includes: Based on the actual corrosion rate data, the corrosion rate was determined. Based on the corrosion rate and the actual load data, the gate thinning data were determined; Based on the gate thinning data, the actual corrosion intensity information of the gate is determined; The step of determining the expected remaining life of the gate based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, using a digital twin model of the gate, includes: Based on the actual corrosion intensity information, the simulated load resultant force, and the simulated main beam deflection, the actual load resultant force and actual main beam deflection corresponding to the actual corrosion intensity information are determined. Based on the actual resultant load and the actual main beam deflection, the expected lifespan of the gate is determined using the digital twin model of the gate. The step of determining the expected lifespan of the gate based on the actual resultant load and the actual main beam deflection using the gate's digital twin model includes: Based on the actual resultant load and the actual main beam deflection, the time scale of the simulated gate in the digital twin model of the gate is adjusted to a future preset time; wherein, the future preset time is the time when the resultant load of the simulated gate reaches the ultimate resultant load and the deflection of the main beam of the simulated gate reaches the ultimate deflection of the main beam. Based on the predetermined future time and the current time, the expected lifespan of the gate is determined.

5. An electronic device, characterized in that, include: A processor and a memory, the memory storing machine-readable instructions executable by the processor, which, when executed by the processor, perform the steel gate life assessment method according to any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions for causing the machine to perform the steel gate life assessment method according to any one of claims 1-3.

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