Dynamic optimization method for spacing of split bolts of hydraulic structure based on big data analysis

By analyzing big data to evaluate the concrete pouring and material conditions of hydraulic structures and dynamically optimizing the spacing of tension bolts, the problem of insufficient or excessive bolt connection strength in traditional designs is solved, thereby improving the safety and economy of hydraulic structures.

CN120805252APending Publication Date: 2025-10-17JIANGSU LUOYUN WATER CONSERVANCY PROJECT MANAGEMENT OFFICE
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Patent Information

Application Number
CN202510903231.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

The existing design method for tension bolts in hydraulic structures fails to effectively consider the impact of dynamic loads, resulting in insufficient or over-designed bolt connection strength, increasing project costs and maintenance difficulties. At the same time, it cannot be adjusted according to changes in structural status, affecting safety and reliability.

Method used

A method based on big data analysis is used to obtain the concrete pouring conditions and material conditions, conduct concrete pouring impact hazard and connection hazard assessment, dynamically optimize the spacing of tension bolts, combine sensor data and historical data for simulation analysis, and optimize the bolt spacing design.

Benefits of technology

It improves the safety and reliability of hydraulic structures, reduces the number of unnecessary bolts, reduces engineering costs, avoids safety redundancy or insufficiency caused by fixed spacing, and enhances the connection stability of the structure.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of big data analysis, in particular to a dynamic optimization method for the space between split bolts of a hydraulic structure based on big data analysis, and the method carries out the concrete pouring impact risk assessment based on the concrete pouring condition data of the position of the hydraulic structure and the connection condition of the hydraulic structure. Connection risk assessment is carried out based on material conditions and bolt conditions of the hydraulic structure, split bolt spacing analysis is carried out based on concrete pouring impact risk assessment and connection risk assessment, the number of unnecessary bolts and damage to the structure in the connection process are reduced, meanwhile, reinforcement of a high-risk area is ensured, and the construction efficiency is improved. And the safety in the construction process of the hydraulic structure is effectively improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data analysis, and particularly relates to a method for dynamically optimizing the spacing of pull bolts of hydraulic structures based on big data analysis. BACKGROUND

[0002] Hydraulic structures play a crucial role in many fields such as water conservancy projects, port projects, bridge projects, etc. Structures such as water locks, dams, water conveyance pipelines, and bridge piers, etc. not only bear their own gravity loads, but also are subjected to dynamic loads such as concrete pouring impact, pulsating pressure, and vortex-induced vibration in a complex concrete pouring environment for a long time. These dynamic loads have a significant impact on the structural safety of hydraulic structures, especially the reliability of their connecting components, such as pull bolts. Pull bolts are commonly used connecting components in hydraulic structures, which play a key role in ensuring the integrity and stability of the structure. By reasonably arranging the pull bolts, the internal forces of the structure can be effectively transmitted, external loads can be resisted, and the safe operation of the hydraulic structure under various working conditions can be ensured. For example, in the gate structure of a water lock, pull bolts are used to connect various components to form a whole, which can withstand the pressure of concrete pouring.

[0003] Existing design methods often focus on the calculation of static loads, but do not adequately consider the impact of dynamic loads such as concrete pouring impact. The dynamic action of concrete pouring can cause additional stress and deformation on the pull bolts, which may lead to bolt loosening, fatigue damage, or even rupture under long-term action. However, fixed bolt spacing design cannot adapt to such dynamically changing load conditions, which may result in insufficient bolt connection strength in high-risk areas, while there is overdesign in low-risk areas. At the same time, the structural state of hydraulic structures is influenced by various factors such as material properties, construction quality, and service life. Different structural states can cause changes in the stress conditions of pull bolts, but traditional fixed spacing design methods cannot adjust according to the actual structural state, and cannot timely discover and solve the bolt connection problems caused by changes in the structural state, thereby affecting the safety and reliability of the structure. Furthermore, fixed bolt spacing design may cause unnecessary material waste and increase engineering costs. In some low-risk areas, excessive bolt arrangement is not only unnecessary, but also increases construction difficulty and cost. In high-risk areas, due to the excessive spacing of bolts, the structure may not meet the safety requirements, and post-reinforcement is needed, further increasing engineering costs and maintenance difficulty.

[0004] To solve the above problems, the present technical solution proposes a method for dynamically optimizing the spacing of pull bolts of hydraulic structures based on big data analysis. SUMMARY

[0005] The application provides a method for dynamically optimizing the spacing of counter-pulling bolts of a hydraulic structure based on big data analysis to overcome the defects and deficiencies of the prior art.

[0006] In order to achieve the above-mentioned purpose, the application adopts the following technical scheme:

[0007] In a first aspect, the application provides a method for dynamically optimizing the spacing of counter-pulling bolts of a hydraulic structure based on big data analysis, comprising the following steps:

[0008] S1, obtaining concrete pouring condition data of a position where the hydraulic structure is located, and simultaneously obtaining material conditions and bolt conditions of the hydraulic structure;

[0009] S2, performing concrete pouring impact risk assessment based on the concrete pouring condition data of the position where the hydraulic structure is located and the connection conditions of the hydraulic structure;

[0010] S3, performing connection risk assessment based on the material conditions and bolt conditions of the hydraulic structure;

[0011] S4, performing counter-pulling bolt spacing analysis based on the concrete pouring impact risk assessment and the connection risk assessment;

[0012] S5, performing connection of the structure based on the obtained counter-pulling bolt spacing analysis result.

[0013] In an implementation manner of the application, the concrete pouring condition data comprises concrete pouring flow rate and flow speed condition data corresponding to the installation position of the hydraulic structure, which are used to analyze the impact force of the average concrete pouring on the corresponding structure, to simulate the impact of the future concrete pouring condition on the structure based on the past concrete pouring condition, and the material conditions of the hydraulic structure comprise the connection strength conditions of the materials and the damage conditions at the connection, and the connection strength of the materials is obtained to analyze whether the connection strength between the materials can withstand the impact of the concrete pouring.

[0014] In an implementation manner of the application, the concrete pouring impact risk assessment in step S2 comprises the following specific steps:

[0015] S21, obtaining the speed condition of the corresponding concrete pouring, and analyzing the impact condition of the structure based on the average speed condition of the concrete pouring at each point, the speed of the corresponding concrete pouring and the density of the concrete pouring can be obtained through sensors, for example, the density of the corresponding concrete pouring is obtained through a concrete pouring density sensor, the speed of the concrete pouring is obtained through a corresponding concrete pouring speed sensor, and the corresponding concrete pouring impact force is calculated by substituting the speed of the concrete pouring and the density of the concrete pouring into a concrete pouring impact force calculation formula.

[0016] S22, acquire the set connection strength of the water structure joint and the defect condition data of the joint, and perform joint defect anomaly analysis through the defect condition data of the joint, wherein the joint defect anomaly analysis formula is: the area of the defect divided by the total surface area of the joint, the formula quantifies the abnormality degree of the joint through the ratio of the defect to the total surface area, the physical nature is the risk assessment of the loss of effective bearing area and stress concentration, and the concrete pouring impact risk assessment is performed based on the joint defect anomaly analysis result, the set connection strength of the water structure joint and the concrete pouring impact force condition, wherein the concrete pouring impact risk assessment formula is: Wherein, fz is the impact force of the concrete pouring, fm is the maximum safe concrete pouring impact force corresponding to the design of the water structure joint, Sv is the joint defect anomaly analysis result, Rm is the standard connection strength of the water structure joint, Rc is the connection strength of the water structure joint after production, and the defect area ratio of the joint reflects the loss of structural integrity of the joint. The larger the defect is, the weaker the bearing capacity is.

[0017] In an implementation manner of the present application, the connection risk assessment based on the material condition of the water structure and the bolt condition in step S3 comprises the following specific steps:

[0018] S31, acquire the water structure damage condition data in the process of implanting the corresponding bolt into the water structure corresponding to the connection strength, wherein the damage condition data comprises the increase of the crack, perform connection damage analysis through the damage condition data in the process of implanting the corresponding bolt into the water structure corresponding to the connection strength, wherein the damage analysis calculation formula is: Wherein, n is the number of times of implanting the corresponding bolt into the water structure corresponding to the connection strength, sci is the increased crack area, sm is the total surface area of the joint, lambda is the influence weight of the increased crack, and Sv is the joint defect anomaly, which represents the fragile anomaly of the joint at the starting moment, and leads to more abnormality of the joint under the influence of the implanted bolt, and more accurately reflects the sensitivity of the material to the crack, represents the average influence of implanting the corresponding bolt into the water structure corresponding to the connection strength, quantifies the direct damage caused by the bolt implantation, and the combination of the two reflects the change of the structural fragility caused by the bolt implantation;

[0019] S32, acquire the connection strength condition of the corresponding bolt, and acquire the connection anomaly of the corresponding bolt based on the connection strength condition of the standard bolt divided by the connection strength condition of the corresponding bolt, wherein the connection strength of the standard bolt refers to the design tensile / shear strength of the same specification bolt under the condition of no damage;

[0020] S33, obtain the damage analysis result and the bolt connection abnormal result, and obtain a connection danger assessment result by weighted summation of the two, wherein the weighted summation formula is Pd=aSd+bWd, wherein a is an influence weight of the damage analysis result, b is an influence weight of the bolt connection abnormal, and Wd is the bolt connection abnormal result, and the influence weights of the damage analysis result and the bolt connection abnormal need to be obtained through corresponding historical data experiments.

[0021] In an implementation manner of the application, the bolt spacing analysis between the tension bolts in step S4 is performed based on the concrete pouring impact danger assessment and the connection danger assessment, and includes the following specific contents.

[0022] S41, obtain the corresponding connection danger assessment result and the concrete pouring impact danger assessment result, and obtain a structure strength danger by multiplication; the connection danger assessment reflects the structure risk caused by the bolt connection loosening, damage or fatigue; the concrete pouring impact danger assessment reflects the impact of the concrete pouring dynamic load on the structure; and the multiplication emphasizes the nonlinear coupling effect of the two, that is, the connection problem may be amplified under the concrete pouring impact, and when the connection state is poor, the concrete pouring impact may accelerate the structure damage, and therefore the product form can reflect the actual risk better than the linear superposition;

[0023] S42, obtain the structure strength danger and the corresponding set bolt spacing between the tension bolts, obtain a strength danger standard result by dividing the structure strength danger by the corresponding standard value of the structure strength danger, then obtain a corresponding bolt spacing analysis result between the tension bolts by dividing the corresponding set bolt spacing between the tension bolts by the strength danger standard result, inversely adjust the bolt spacing according to the strength danger standard result, optimize the design according to the actual risk level, and avoid the safety redundancy or deficiency caused by the fixed spacing.

[0024] In an implementation manner of the application, the connection of the structure in step S5 is performed based on the obtained bolt spacing analysis result between the tension bolts, and includes the following specific contents.

[0025] The obtained bolt spacing analysis result between the tension bolts is used to implant the tension bolts at the corresponding positions according to the obtained bolt spacing analysis result between the tension bolts, so as to connect the structure.

[0026] Secondly, the application further provides a water conservancy structure bolt spacing between tension bolts dynamic optimization system based on big data analysis, which includes:

[0027] A data acquisition module is configured to acquire concrete pouring condition data of a water conservancy structure, and simultaneously acquire material condition and bolt condition of the water conservancy structure.

[0028] The impact risk assessment module assesses the concrete pouring impact risk based on the concrete pouring condition data of the location where the hydraulic structure is located and the connection condition of the hydraulic structure.

[0029] The connection risk assessment module assesses the connection risk based on the material condition of the hydraulic structure and the bolt condition.

[0030] The bolt spacing analysis module analyzes the bolt spacing based on the concrete pouring impact risk assessment and the connection risk assessment.

[0031] The structure connection module connects the structure based on the obtained bolt spacing analysis result.

[0032] The control module is further included for controlling the operation of the other modules.

[0033] Then, the electronic device provided by the present application comprises a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the dynamic optimization method for bolt spacing of hydraulic structure based on big data analysis by calling the computer program stored in the memory.

[0034] Finally, the computer readable storage medium provided by the present application stores instructions, and when the instructions run on the computer, the computer executes the dynamic optimization method for bolt spacing of hydraulic structure based on big data analysis.

[0035] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0036] The present application assesses the concrete pouring impact risk based on the concrete pouring condition data of the location where the hydraulic structure is located and the connection condition of the hydraulic structure, assesses the connection risk based on the material condition of the hydraulic structure and the bolt condition, and analyzes the bolt spacing based on the concrete pouring impact risk assessment and the connection risk assessment, thereby reducing the number of unnecessary bolts and the damage to the structure during the connection process, ensuring reinforcement in high-risk areas, and effectively improving the safety during the construction of the hydraulic structure. BRIEF DESCRIPTION OF DRAWINGS

[0037] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments, made with reference to the accompanying drawings:

[0038] Figure 1 The figure is a schematic diagram of the overall process of the method embodiment of the present application.

[0039] Figure 2 The figure is a workflow diagram of step S3 of the method embodiment of the present application.

[0040] Figure 3 A flowchart of the technical concept of this application;

[0041] Figure 4 This is a structural diagram of an embodiment of the system of this application. DETAILED DESCRIPTION

[0042] The technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Unless there is a conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0043] Example 1

[0044] like Figures 1 to 3 As shown, this embodiment provides a method for dynamically optimizing the spacing of tension bolts in hydraulic structures based on big data analysis, which specifically includes the following steps:

[0045] S1. Acquire the concrete pouring data of the hydraulic structure, and simultaneously acquire the material and bolt conditions of the hydraulic structure;

[0046] In this embodiment, the concrete pouring condition data includes concrete pouring flow and flow velocity data corresponding to the installation location of the hydraulic structure, which is used to analyze the impact of average concrete pouring at the corresponding location on the corresponding structure. Past concrete pouring conditions are used to simulate future concrete pouring conditions to simulate and analyze the impact of the structure. The material conditions of the hydraulic structure include the connection strength of the materials and the damage of the connection. The connection strength of the materials is obtained to analyze whether the connection strength between the materials can withstand the impact of concrete pouring. If the connection strength can easily withstand the impact of concrete pouring, the tension bolts do not need to be set very densely. If the connection strength cannot withstand the impact of concrete pouring, the bolt setting density needs to be increased to strengthen the connection strength between the materials. In the process of increasing the bolt density, the fixing of the bolts will cause damage to the connection. Therefore, it is necessary to analyze the damage condition of the damaged connection at the bolt connection to evaluate the connection stability in order to select the best connection method.

[0047] S2. Conduct concrete pouring impact hazard assessment based on the concrete pouring data of the hydraulic structure's location and the hydraulic structure's connection conditions;

[0048] In this embodiment, the concrete pouring impact hazard assessment in step S2 includes the following specific steps:

[0049] S21, obtain the water velocity corresponding to the concrete pouring, analyze the impact of the structure based on the average velocity of the concrete pouring at each point, the velocity and density of the concrete pouring corresponding to the concrete pouring can be obtained through sensors, for example, the density of the concrete pouring is obtained through a concrete pouring density sensor, the velocity of the concrete pouring is obtained through a corresponding concrete pouring velocity sensor, the velocity of the concrete pouring and the density of the concrete pouring are substituted into the concrete pouring impact force calculation formula to calculate the corresponding concrete pouring impact force, how to calculate the concrete pouring impact force through the velocity of the concrete pouring and the density of the concrete pouring is a conventional technique in the art, and the calculation formula is not shown here, and the concrete pouring impact force at each position on the edge of the hydraulic structure is obtained;

[0050] S22, obtain the set connection strength of the connection of the hydraulic structure and the defect data of the connection, and perform connection defect anomaly analysis through the defect data of the connection, wherein the connection defect anomaly analysis formula is: the area of the defect divided by the total surface area of the connection, which quantifies the abnormality of the connection through the ratio of the defect to the total surface area, and its physical essence is the risk assessment of the loss of effective bearing area and stress concentration, based on the connection defect anomaly analysis result, the set connection strength of the connection of the hydraulic structure and the concrete pouring impact force, the concrete pouring impact risk assessment is performed, wherein the concrete pouring impact risk assessment formula is: Wherein, fz is the impact force of the concrete pouring, fm is the maximum safe concrete pouring impact force when the connection of the hydraulic structure is designed, Sv is the connection defect anomaly analysis result, Rm is the standard connection strength of the connection of the hydraulic structure, Rc is the connection strength of the connection of the hydraulic structure after production, and the connection defect area ratio reflects the loss of structural integrity of the connection; the larger the defect, the weaker the bearing capacity; the set connection strength is the connection tensile / shear strength required by design or specification, which represents the bearing capacity threshold of the connection under normal working conditions and is used for normalizing the influence of defects; the concrete pouring impact force is the dynamic impact force of the concrete pouring on the connection, which is coupled through defects-strength-load, and provides a quantitative tool for safety assessment of hydraulic structures;

[0051] S3, connection risk assessment based on the material condition of the hydraulic structure and the bolt condition;

[0052] In this embodiment, the connection risk assessment based on the material condition of the hydraulic structure and the bolt condition in step S3 includes the following specific steps:

[0053] S31, obtain the damage condition data of the hydraulic structure in the process of bolt implantation corresponding to the connection strength, wherein the damage condition data includes the increase of cracks, and the connection damage analysis is performed on the damage condition data in the process of bolt implantation corresponding to the connection strength, wherein the damage analysis calculation formula is: Wherein n is the number of times of the hydraulic structure corresponding to the bolt implantation corresponding to the connection strength, sci is the increased crack area, sm is the total surface area of the connection, λ is the influence weight of the increased crack, the value range is 0.3-0.6, reflecting the influence of the material of the hydraulic structure, for example, the value of concrete is 0.6, and the value of steel is 0.3, and Sv is the defect abnormality of the connection, that is, the fragile abnormality of the connection at the initial time, which leads to more abnormal connection under the influence of bolt implantation, and more accurately reflects the sensitivity of the material to the crack, representing the average influence of the hydraulic structure corresponding to the bolt implantation corresponding to the connection strength, quantifying the direct damage caused by the bolt implantation, and reflecting the change of the structural fragility caused by the bolt implantation.

[0054] The above steps have the advantages that the cumulative damage effect of the bolt implantation operation on the structure is quantified, the influence of the material property difference on the crack sensitivity is considered, and the trend evaluation of the damage development is provided through historical data analysis;

[0055] S32, obtain the connection strength of the corresponding bolt, and obtain the connection abnormality of the corresponding bolt based on the connection strength of the standard bolt divided by the connection strength of the corresponding bolt, wherein the connection strength of the standard bolt refers to the design tensile / shear strength of the same specification bolt under the condition of no damage;

[0056] The above steps have the advantages that the difference between the actual bolt connection strength and the standard design strength is compared, and the performance attenuation of the bolt connection is reflected by the ratio;

[0057] S33, obtain the damage analysis result and the bolt connection abnormality result, and obtain the connection danger evaluation result by weighted summation of the two, wherein the weighted summation formula is: Pd=aSd+bWd, wherein a is the influence weight of the damage analysis result, b is the influence weight of the bolt connection abnormality, and Wd is the bolt connection abnormality result, and the influence weight of the damage analysis result and the influence weight of the bolt connection abnormality need to be obtained through corresponding historical data experiment;

[0058] The above steps have the advantages that the structural damage and the connection performance are organically combined, and the limitation of single index evaluation is avoided;

[0059] S4, analyze the distance between the pull bolts based on the concrete pouring impact danger evaluation and the connection danger evaluation;

[0060] In the embodiment, the bolt spacing analysis in step S4 is based on the concrete pouring impact risk assessment and the connection risk assessment, including the following specific contents:

[0061] S41, obtain the connection risk assessment result and the concrete pouring impact risk assessment result, multiply them to obtain the structure strength risk; the connection risk assessment reflects the structure risk caused by the loosening, damage or fatigue of the bolt connection; the concrete pouring impact risk assessment reflects the impact of the dynamic load of the concrete pouring on the structure; multiplication: emphasizes the nonlinear coupling effect of the two, that is, the connection problem may be amplified under the concrete pouring impact, when the connection state is poor, the concrete pouring impact may accelerate the structure damage, therefore, the product form can reflect the actual risk better than the linear superposition;

[0062] S42, obtain the structure strength risk and the corresponding set bolt spacing, divide the structure strength risk by the corresponding standard value of the structure strength risk to obtain the strength risk standard result, then divide the corresponding set bolt spacing by the strength risk standard result to obtain the corresponding bolt spacing analysis result, according to the strength risk standard result, adjust the bolt spacing reversely: high risk (large value) reduces the bolt spacing (increases the number of connection points); low risk (small value) can appropriately increase the bolt spacing (reduces the material cost, and reduces the damage to the structure in the connection process), according to the actual risk level, optimize the design, avoid the safety redundancy or deficiency caused by the fixed spacing;

[0063] S5, connect the structure based on the obtained bolt spacing analysis result.

[0064] In the embodiment, step S5 includes the following specific contents:

[0065] Obtain the bolt spacing analysis result, implant the bolt at the corresponding position according to the obtained bolt spacing analysis result, so as to connect the structure, for example, implant a bolt with a spacing of 5 cm at the corresponding position, then implant a bolt with a spacing of 5 cm at the position needing to be connected.

[0066] It should be noted that the setting parameters (such as each weighting weight and standard value) in the embodiment are obtained by the skilled person in the art through historical data experiments, and the specific experimental method is: obtaining at least five hundred groups of historical concrete pouring condition data of the position of the hydraulic structure, and simultaneously obtaining the material condition and bolt condition of the hydraulic structure, and simultaneously obtaining the bolt spacing condition, obtaining the result of whether the hydraulic structure can achieve the connection effect within the safe time, and simultaneously importing the historical data into the embodiment of the application to calculate the bolt spacing analysis result, and importing the bolt spacing analysis result and the corresponding bolt connection spacing condition of the connection effect within the safe time into the fitting software for data iterative fitting, and outputting the setting parameter value with the maximum judgment accuracy. It should be noted that the fitting software is preferably a matlab fitting software, and the advantages are: by collecting at least five hundred groups of historical concrete pouring condition, material condition, bolt condition, bolt spacing and connection effect result data of the hydraulic structure, the various complex conditions of the hydraulic structure in actual operation can be fully reflected, these data are derived from real historical cases and are highly consistent with the actual engineering scene, so that the setting parameters obtained based on these data can more accurately reflect the actual situation, improve the reliability of the bolt spacing analysis result, and the performance of the hydraulic structure is comprehensively affected by the concrete pouring, material, bolt and other factors, and there is a complex interaction between each factor. By analyzing a large amount of historical data, the complex relationship between these factors can be captured, for example, how the concrete pouring speed and direction jointly affect the bolt spacing and connection effect with the material properties and bolt performance. Traditional theoretical analysis may be difficult to consider all these complex relationships, while analysis based on actual historical data can more comprehensively and accurately grasp these relationships, so that the setting parameters are more accurate; the bolt spacing analysis result and the actual connection effect data are imported into the fitting software for iterative fitting, and the parameters are adjusted to improve the judgment accuracy. This iterative process can gradually optimize the setting parameters, so that they can better adapt to various situations, thereby obtaining a more accurate bolt spacing analysis model and reducing analysis errors caused by inaccurate parameters.

[0067] By running the steps of the embodiment, the following advantages are obtained: based on the concrete pouring condition data of the position of the hydraulic structure and the connection condition of the hydraulic structure, the concrete pouring impact risk is evaluated, based on the material condition and bolt condition of the hydraulic structure, the connection risk is evaluated, and based on the concrete pouring impact risk evaluation and the connection risk evaluation, the bolt spacing analysis is performed, which reduces unnecessary bolt quantity and damage to the structure during the connection process, ensures reinforcement in high-risk areas, and effectively improves the safety of the hydraulic structure construction process.

[0068] Embodiment 2

[0069] As shown in Figure 4 The embodiment provides a water structure dynamic optimization system for bolt spacing based on big data analysis, which comprises a data acquisition module, a shock danger assessment module, a connection danger assessment module, a bolt spacing analysis module and a structure connection module. The data acquisition module is used for acquiring concrete pouring condition data of a position where the water structure is located and simultaneously acquiring material condition and bolt condition of the water structure. The shock danger assessment module performs concrete pouring shock danger assessment based on the concrete pouring condition data of the position where the water structure is located and the connection condition of the water structure. The connection danger assessment module performs connection danger assessment based on the material condition and the bolt condition of the water structure. The bolt spacing analysis module performs bolt spacing analysis based on the concrete pouring shock danger assessment and the connection danger assessment. The structure connection module performs connection of the water structure based on the obtained bolt spacing analysis result. The system further comprises a control module used for controlling operation of other modules. Figure 4 The arrow direction in the figure is the data transmission direction of each module.

[0070] Embodiment 3

[0071] The electronic device provided by the embodiment comprises a processor and a memory. The memory stores a computer program which can be called by the processor. The processor executes a water structure dynamic optimization method for bolt spacing based on big data analysis by calling the computer program stored in the memory. It should be noted that all computer programs of the water structure dynamic optimization method for bolt spacing based on big data analysis are implemented by using C language.

[0072] Embodiment 4

[0073] The embodiment provides a computer readable storage medium which stores an erasable computer program.

[0074] When the computer program runs on the computer device, the computer device executes the water structure dynamic optimization method for bolt spacing based on big data analysis.

[0075] Each embodiment in the application is described in a progressive manner, and the same and similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. In particular, the Internet of Things device and medium embodiment are basically similar to the method embodiment, so the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0076] The system and medium provided by the embodiment of the application are one-to-one corresponding to the method, so the system and medium also have the similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be described here.

[0077] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer-readable program code.

[0078] The present application is described in relation to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present application. It is understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts 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, create means for implementing the functions specified in the flowcharts and / or block diagrams block or blocks. Figure 1 The flowcharts and / or block diagrams can also be implemented by logic or a combination of logic and software. Figure 1 The flowcharts and / or block diagrams can also be implemented by logic or a combination of logic and software.

[0079] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flowcharts and / or block diagrams block or blocks. Figure 1 The flowcharts and / or block diagrams can also be implemented by logic or a combination of logic and software. Figure 1 The flowcharts and / or block diagrams can also be implemented by logic or a combination of logic and software.

[0080] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0081] The memory can include non-persistent memory, random access memory (RAM), and / or non-volatile memory, etc. in the form of computer-readable media, such as read only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0082] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules 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, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0083] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or apparatus that includes a list of elements does not only include those elements, but also includes other elements not explicitly listed, or also includes elements inherent in such a process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0084] The above only is the embodiment of the present application, and is not used to limit the present application. The present application can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A dynamic optimization method for the spacing of tension bolts in hydraulic structures based on big data analysis, characterized in that: The steps include: S1. Acquire the concrete pouring data of the hydraulic structure, and simultaneously acquire the material and bolt conditions of the hydraulic structure; S2. Conduct concrete pouring impact hazard assessment based on the concrete pouring data of the hydraulic structure location and the connection conditions of the hydraulic structure; S3. Conduct connection risk assessment based on the material and bolt conditions of hydraulic structures; S4. Analyze the spacing of tension bolts based on the concrete pouring impact hazard assessment and connection hazard assessment; S5. Connect the structure based on the obtained analysis results of the tension bolt spacing.

2. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 1 is characterized in that: The concrete pouring impact hazard assessment includes the following specific steps: Obtain the concrete pouring speed of the corresponding concrete pouring, analyze the impact of the structure based on the average concrete pouring speed of each point, obtain the corresponding concrete pouring speed and concrete pouring density through the sensor, substitute the concrete pouring speed and concrete pouring density into the concrete pouring impact force calculation formula to calculate the corresponding concrete pouring impact force, and obtain the concrete pouring impact force at each position along the edge of the corresponding hydraulic structure; The set connection strength and defect data of the hydraulic structure connections are obtained, and the connection defect anomaly analysis is performed based on the connection defect data. The connection defect anomaly analysis formula is: the area of ​​the defect divided by the total surface area of ​​the connection. Based on the connection defect anomaly analysis results, the set connection strength of the hydraulic structure connections and the concrete pouring impact force, the concrete pouring impact hazard assessment is performed.

3. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 1 is characterized in that: The connection risk assessment based on the material conditions and bolt conditions of the hydraulic structure includes the following specific steps: Acquire historical damage data on the hydraulic structure during the process of bolts being implanted into the hydraulic structure with corresponding connection strength, wherein the damage data includes an increase in cracks, and perform connection damage analysis based on the damage data on the connection strength during the process of bolts being implanted into the hydraulic structure with corresponding connection strength; Obtain the connection strength of the corresponding bolt, and obtain the corresponding bolt connection abnormality based on the connection strength of the standard bolt divided by the connection strength of the corresponding bolt; The damage analysis results and bolt connection abnormality results are obtained, and the connection hazard assessment results are obtained by weighted summation of the two.

4. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 1 is characterized in that: The analysis of tension bolt spacing based on concrete pouring impact hazard assessment and connection hazard assessment includes the following specific contents: Obtain the corresponding connection hazard assessment results and concrete pouring impact hazard assessment results, and multiply them to obtain the structural strength hazard; Obtain the structural strength hazard and the corresponding set tension bolt spacing, obtain the structural strength hazard divided by the corresponding standard value of the structural strength hazard to obtain the strength hazard standard result, and then divide the corresponding set tension bolt spacing by the strength hazard standard result to obtain the corresponding tension bolt spacing analysis result.

5. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 1 is characterized in that: The connection of the structure based on the obtained analysis results of the tension bolt spacing includes the following specific contents: The obtained tension bolt spacing analysis results are obtained, and the tension bolts are implanted at corresponding positions according to the obtained tension bolt spacing analysis results, thereby connecting the structure.

6. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 1 is characterized in that: The concrete pouring condition data includes the concrete pouring flow and flow velocity data of the corresponding hydraulic structure installation position, which is used to analyze the impact of the average concrete pouring at the corresponding position on the corresponding structure. The material condition of the hydraulic structure includes the connection strength of the material and the damage condition of the connection.

7. The method for dynamic optimization of tension bolt spacing of hydraulic structures based on big data analysis according to claim 3 is characterized in that: The damage analysis calculation formula is: Where n is the number of historical bolt implantations of the hydraulic structure with the corresponding connection strength, sci is the increased crack area, sm is the total surface area of ​​the connection, λ is the influence weight of the increased cracks, and Sv is the abnormal defect of the connection.

8. A system for dynamically optimizing the spacing of tension bolts in hydraulic structures based on big data analysis, which is implemented based on the method for dynamically optimizing the spacing of tension bolts in hydraulic structures based on big data analysis according to any one of claims 1 to 7, and is characterized in that the system include: The data acquisition module is used to obtain the concrete pouring data of the hydraulic structure, and the material and bolt conditions of the hydraulic structure; Impact hazard assessment module, which assesses the impact hazard of concrete pouring based on the concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure; Connection risk assessment module, which conducts connection risk assessment based on the material and bolt conditions of hydraulic structures; Bolt spacing analysis module, which analyzes the spacing of tension bolts based on concrete pouring impact hazard assessment and connection hazard assessment; The structure connection module connects the structure based on the obtained analysis results of the tension bolt spacing; It also includes a control module for controlling the operation of other modules.

9. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the dynamic optimization method for the spacing of tension bolts in hydraulic structures based on big data analysis as described in any one of claims 1 to 7 by calling the computer program stored in the memory.

Citation Information

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