Dynamic optimization method for spacing of pull bolts of hydraulic structures based on big data analysis

Abstract

The application relates to the technical field of big data analysis, in particular to a water structure counter-pull bolt spacing dynamic optimization method based on big data analysis. The application carries out concrete pouring impact danger assessment based on concrete pouring condition data of a position where a water structure is located and connection conditions of the water structure, carries out connection danger assessment based on material conditions and bolt conditions of the water structure, and carries out counter-pull bolt spacing analysis based on the concrete pouring impact danger assessment and the connection danger assessment. The application reduces unnecessary bolt quantity and damage to the structure in the connection process, ensures reinforcement of a high-risk area, and effectively improves the safety in the construction process of the water structure.

Description

Technical Field

[0001] This application relates to the field of big data analytics, and in particular to a method for dynamic optimization of tie bolt spacing in hydraulic structures based on big data analytics. Background Technology

[0002] Hydraulic structures play a vital role in numerous fields such as water conservancy projects, port projects, and bridge projects. Structures like sluice gates, dams, water pipelines, and bridge piers not only bear their own weight but also operate under complex concrete pouring environments, experiencing dynamic loads such as the impact of concrete pouring, pulsating pressure, and vortex-induced vibration. These dynamic loads significantly impact the structural safety of hydraulic structures, especially placing extremely high demands on the reliability of their connecting components, such as tie bolts. Tie bolts are commonly used connecting components in hydraulic structures, playing a crucial role in ensuring the integrity and stability of the structure. By rationally arranging tie bolts, internal forces can be effectively transmitted, external loads resisted, and the safe operation of hydraulic structures under various working conditions can be ensured. For example, in the gate structure of a sluice gate, tie bolts are used to connect various components, making the gate a unified whole capable of withstanding the pressure of concrete pouring.

[0003] Existing design methods often focus on calculating static loads, while insufficiently considering the impact of dynamic loads such as concrete pouring. The dynamic effects of concrete pouring subject tie bolts to additional stress and deformation, which can lead to loosening, fatigue damage, or even breakage over time. Fixed bolt spacing cannot adapt to these dynamically changing load conditions, potentially resulting in insufficient bolt connection strength in high-risk areas and over-design in low-risk areas. Furthermore, the structural condition of hydraulic structures is influenced by various factors, such as material properties, construction quality, and service life. Different structural conditions cause changes in the stress on tie bolts, but traditional fixed spacing design methods cannot adjust to the actual structural condition, failing to promptly identify and resolve bolt connection problems caused by structural changes, thus affecting the safety and reliability of the structure. Moreover, fixed bolt spacing may lead to unnecessary material waste and increased project costs. In low-risk areas, excessive bolt placement is not only unnecessary but also increases construction difficulty and cost; while in high-risk areas, excessive bolt spacing may fail to meet structural safety requirements, necessitating subsequent reinforcement, further increasing project costs and maintenance difficulties.

[0004] To address the aforementioned issues, this technical solution proposes a dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis. Summary of the Invention

[0005] This application provides a dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis to overcome the defects and shortcomings of existing technologies.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] In a first aspect, this application provides a method for dynamically optimizing the spacing of tie bolts in hydraulic structures based on big data analysis, comprising the following steps:

[0008] S1. Obtain concrete pouring data at the location of the hydraulic structure, and also obtain information on the materials and bolts of the hydraulic structure.

[0009] S2. Conduct an impact risk assessment of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure.

[0010] S3. Conduct a connection hazard assessment based on the material properties and bolt conditions of the hydraulic structure;

[0011] S4. Analysis of tie bolt spacing based on impact hazard assessment of concrete pouring and connection hazard assessment;

[0012] S5. Connect the structures based on the obtained analysis results of the tie bolt spacing.

[0013] In one implementation of this application, the concrete pouring data includes concrete pouring flow rate and velocity data at the installation location of the corresponding hydraulic structure. This data 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 on the structure. The material conditions of the hydraulic structure include the connection strength of the materials and the damage at the joints. Obtaining the connection strength of the materials is to analyze whether the connection strength between the materials can withstand the impact of concrete pouring.

[0014] In one implementation of this application, the concrete pouring impact hazard assessment in step S2 includes the following specific steps:

[0015] S21. Obtain the corresponding concrete pouring speed. Analyze the impact of the structure based on the average concrete pouring speed at each point. The corresponding concrete pouring speed and concrete density can be obtained by sensors. For example, the corresponding concrete pouring density can be obtained by a concrete pouring density sensor, and the concrete pouring speed can be obtained by a corresponding concrete pouring speed 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.

[0016] S22. Obtain the set connection strength and defect data of the hydraulic structure joints. Perform anomaly analysis on the joint defects based on this data. The formula for anomaly analysis is: the area of ​​the defect divided by the total surface area of ​​the joint. This formula quantifies the degree of anomaly at the joint by the ratio of the defect area to the total surface area. Its physical essence is a risk assessment of the loss of effective bearing area and stress concentration. Based on the anomaly analysis results, the set connection strength of the hydraulic structure joints, and the impact force of concrete pouring, conduct an impact hazard assessment of concrete pouring. The formula for the impact hazard assessment of concrete pouring is: Where fz is the impact force of concrete pouring, fm is the maximum safe concrete pouring impact force when designing the connection of the corresponding hydraulic structure, Sv is the result of abnormal analysis of defects at the connection, Rm is the standard connection strength of the hydraulic structure connection, Rc is the connection strength after production of the hydraulic structure connection, and the proportion of defect area at the connection reflects the loss of structural integrity at the connection. The larger the defect, the weaker the bearing capacity.

[0017] In one implementation of this application, step S3, which assesses the connection hazard based on the material properties and bolt conditions of the hydraulic structure, includes the following specific steps:

[0018] S31. Obtain historical data on damage to hydraulic structures during bolt implantation at corresponding connection strengths. This damage data includes the increase in cracks. Perform connection damage analysis using this historical data on damage during bolt implantation at corresponding connection strengths. The damage analysis calculation formula is as follows: Where n represents the number of times the corresponding bolt was implanted in the hydraulic structure corresponding to the connection strength in history, sci represents the increased crack area, sm represents the total surface area of ​​the connection, λ represents the influence weight of the increased cracks, and Sv represents the defect anomaly at the connection, which represents the initial fragility of the connection. Under the influence of the implanted bolts, the connection becomes even more abnormal, more accurately reflecting the material's sensitivity to cracks. The average impact of bolt implantation on hydraulic structures corresponding to historical connection strength is represented by the bolt implantation, and the direct damage caused by bolt implantation is quantified. The combination of the two reflects the changes in structural vulnerability caused by bolt implantation.

[0019] S32. Obtain the connection strength of the corresponding bolt. Based on the connection strength of the standard bolt, divide by the connection strength of the corresponding bolt to obtain the connection anomaly of the corresponding bolt. The connection strength of the standard bolt refers to the design tensile / shear strength of the bolt of the same specification under no-damage conditions.

[0020] S33. Obtain the damage analysis results and the bolt connection anomaly results. The weighted sum of the two results yields the connection risk assessment result. The weighted summation formula is: Pd = aSd + bWd, where a is the influence weight of the damage analysis results, b is the influence weight of the bolt connection anomaly, and Wd is the bolt connection anomaly result. The influence weights of the damage analysis results and the bolt connection anomaly need to be obtained through corresponding historical data experiments.

[0021] In one implementation of this application, step S4 involves analyzing the tie bolt spacing based on the impact hazard assessment of concrete pouring and the connection hazard assessment, including the following specific details:

[0022] S41. Obtain the corresponding connection hazard assessment results and concrete pouring impact hazard assessment results, and multiply them to obtain the structural strength hazard. Connection hazard assessment: reflects the structural risks caused by loosening, damage or fatigue of bolt connections. Concrete pouring impact hazard assessment: reflects the impact of dynamic loads during concrete pouring on the structure. Multiplication: emphasizes the nonlinear coupling effect of the two, that is, connection problems may be amplified under the impact of concrete pouring. When the connection status is poor, the impact of concrete pouring may accelerate structural failure. Therefore, the product form can better reflect the actual risk than linear superposition.

[0023] S42. Obtain the structural strength hazard and the corresponding set tie bolt spacing. Divide the structural strength hazard by the corresponding standard value of the structural strength hazard to obtain the strength hazard standard result. Then divide the corresponding set tie bolt spacing by the strength hazard standard result to obtain the corresponding tie bolt spacing analysis result. Based on the strength hazard standard result, adjust the bolt spacing in reverse and optimize the design according to the actual risk level to avoid safety redundancy or insufficiency caused by fixed spacing.

[0024] In one implementation of this application, step S5, which involves connecting the structure based on the obtained tie bolt spacing analysis results, includes the following specific details:

[0025] The obtained tie bolt spacing analysis results are used to implant tie bolts at the corresponding positions according to the obtained tie bolt spacing analysis results, thereby connecting the structure.

[0026] Secondly, this application also provides a dynamic optimization system for the spacing of tie bolts in hydraulic structures based on big data analysis, including:

[0027] The data acquisition module is used to acquire data on the concrete pouring status at the location of the hydraulic structure, as well as the material status and bolt status of the hydraulic structure.

[0028] The impact hazard assessment module assesses the impact hazard of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure.

[0029] The connection hazard assessment module assesses connection hazards based on the material properties and bolt conditions of the hydraulic structure.

[0030] The bolt spacing analysis module performs tie bolt spacing analysis based on the impact hazard assessment of concrete pouring and the connection hazard assessment.

[0031] The structure connection module connects structures based on the obtained analysis results of the tie bolt spacing.

[0032] It also includes a control module, which is used to control the operation of other modules.

[0033] Then, this application provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis by calling the computer program stored in the memory.

[0034] Finally, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis.

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

[0036] This application conducts an impact hazard assessment of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure. It also conducts a connection hazard assessment based on the material characteristics and bolt characteristics of the hydraulic structure. Based on the concrete pouring impact hazard assessment and the connection hazard assessment, it analyzes the spacing of tie bolts to reduce the number of unnecessary bolts and the damage to the structure during the connection process, while ensuring the reinforcement of high-risk areas, effectively improving the safety of the hydraulic structure construction process. Attached Figure Description

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

[0038] Figure 1 This is a schematic diagram of the overall process of an embodiment of the method of this application;

[0039] Figure 2 This is a flowchart of step S3 in an embodiment of the method of this application;

[0040] Figure 3 This is a flowchart illustrating the technical concept of this application;

[0041] Figure 4 This is a schematic diagram of the structure of an embodiment of the system in this application. Detailed Implementation

[0042] The technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of this application, rather than limitations thereof. In the absence of conflict, the embodiments and 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 tie bolts in hydraulic structures based on big data analysis, specifically including the following steps:

[0045] S1. Obtain concrete pouring data at the location of the hydraulic structure, and also obtain information on the materials and bolts of the hydraulic structure.

[0046] In this embodiment, the concrete pouring data includes the concrete pouring flow rate and velocity data at the installation location of the corresponding hydraulic structure. This data is used to analyze the impact of the 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 on the structure. The material conditions of the hydraulic structure include the connection strength of the materials and the damage at the joints. Obtaining the connection strength of the materials is to analyze whether the connection strength between the materials can withstand the impact of concrete pouring. If it can easily withstand the impact of concrete pouring, the tie bolts do not need to be set very densely. However, if the connection strength cannot withstand the impact of concrete pouring, the bolt density needs to be increased to strengthen the connection strength between the materials. During the process of increasing the bolt density, the bolt fixing will cause damage to the joints. Therefore, it is necessary to analyze the damage of the bolt connection to the damaged joints to evaluate the connection stability and select the best connection method.

[0047] S2. Conduct an impact risk assessment of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure.

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

[0049] S21. Obtain the water velocity of the corresponding concrete pouring. Analyze the impact of the structure based on the average concrete pouring velocity at each point. The concrete pouring velocity and concrete density can be obtained by sensors. For example, the concrete pouring density can be obtained by a concrete pouring density sensor, and the concrete pouring velocity can be obtained by a concrete pouring velocity sensor. Substitute the concrete pouring velocity and concrete pouring density into the concrete pouring impact force calculation formula to calculate the corresponding concrete pouring impact force. As for how to calculate the concrete pouring impact force using the concrete pouring velocity and concrete pouring density, this is a conventional technique in this field, and the calculation formula is not shown here. Obtain the concrete pouring impact force at each position along the edge of the corresponding hydraulic structure.

[0050] S22. Obtain the set connection strength and defect data of the hydraulic structure joints. Perform anomaly analysis on the joint defects based on this data. The formula for anomaly analysis is: the area of ​​the defect divided by the total surface area of ​​the joint. This formula quantifies the degree of anomaly at the joint by the ratio of the defect area to the total surface area. Its physical essence is a risk assessment of the loss of effective bearing area and stress concentration. Based on the anomaly analysis results, the set connection strength of the hydraulic structure joints, and the impact force of concrete pouring, conduct an impact hazard assessment of concrete pouring. The formula for the impact hazard assessment of concrete pouring is: Wherein, fz represents the impact force of concrete pouring, fm represents the maximum safe concrete pouring impact force at the design of the hydraulic structure connection, Sv represents the abnormal analysis result of the connection defect, Rm represents the standard connection strength of the hydraulic structure connection, Rc represents the post-production connection strength of the hydraulic structure connection, the proportion of the connection defect area reflects the loss of structural integrity at the connection, and the larger the defect, the weaker the bearing capacity; the connection strength is set as the theoretical tensile / shear strength of the connection treatment required by the design or specification, which characterizes the bearing capacity threshold of the connection under normal working conditions and is used to normalize the influence of defects; the concrete pouring impact force is the dynamic impact force of concrete pouring on the connection, and through the ternary coupling of defect-strength-load, a quantitative tool is provided for the safety assessment of hydraulic structures;

[0051] S3. Conduct a connection hazard assessment based on the material properties and bolt conditions of the hydraulic structure;

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

[0053] S31. Obtain historical data on damage to hydraulic structures during bolt implantation at corresponding connection strengths. This damage data includes the increase in cracks. Perform connection damage analysis using this historical data on damage during bolt implantation at corresponding connection strengths. The damage analysis calculation formula is as follows: Where n represents the number of times the corresponding bolt was implanted in the hydraulic structure corresponding to the connection strength in history, sci represents the increased crack area, sm represents the total surface area of ​​the connection, λ represents the influence weight of the increased cracks, with a value ranging from 0.3 to 0.6, reflecting the influence of the hydraulic structure's material; for example, 0.6 is taken for concrete and 0.3 for steel. Sv represents the abnormality of the connection defect, which represents the initial fragility of the connection, which becomes more abnormal under the influence of the implanted bolts, more accurately reflecting the material's sensitivity to cracks. The average impact of bolt implantation on hydraulic structures corresponding to historical connection strength is represented by the bolt implantation, and the direct damage caused by bolt implantation is quantified. The combination of the two reflects the changes in structural vulnerability caused by bolt implantation.

[0054] The benefits of the above steps are: quantifying the cumulative damage effect of bolt implantation on the structure, considering the influence of material property differences on crack sensitivity, and providing a trend assessment of damage development through historical data analysis;

[0055] S32. Obtain the connection strength of the corresponding bolt. Based on the connection strength of the standard bolt, divide by the connection strength of the corresponding bolt to obtain the connection anomaly of the corresponding bolt. The connection strength of the standard bolt refers to the design tensile / shear strength of the bolt of the same specification under no-damage conditions.

[0056] The benefits of the above steps are: comparing the difference between the actual bolt connection strength and the standard design strength, and reflecting the performance degradation of the bolt connection through the ratio;

[0057] S33. Obtain the damage analysis results and the bolt connection anomaly results. The weighted sum of the two results is used to obtain the connection risk assessment result. The weighted summation formula is: Pd = aSd + bWd, where a is the influence weight of the damage analysis results, b is the influence weight of the bolt connection anomaly, and Wd is the bolt connection anomaly result. The influence weights of the damage analysis results and the bolt connection anomaly need to be obtained through corresponding historical data experiments.

[0058] The advantages of the above steps are: they organically combine structural damage with connection performance, avoiding the limitations of evaluation by a single index;

[0059] S4. Analysis of tie bolt spacing based on impact hazard assessment of concrete pouring and connection hazard assessment;

[0060] In this embodiment, step S4 involves analyzing the tie bolt spacing based on the impact hazard assessment of concrete pouring and the connection hazard assessment, including the following specific details:

[0061] S41. Obtain the corresponding connection hazard assessment results and concrete pouring impact hazard assessment results, and multiply them to obtain the structural strength hazard. Connection hazard assessment: reflects the structural risks caused by loosening, damage or fatigue of bolt connections. Concrete pouring impact hazard assessment: reflects the impact of dynamic loads during concrete pouring on the structure. Multiplication: emphasizes the nonlinear coupling effect of the two, that is, connection problems may be amplified under the impact of concrete pouring. When the connection status is poor, the impact of concrete pouring may accelerate structural failure. Therefore, the product form can better reflect the actual risk than linear superposition.

[0062] S42. Obtain the structural strength hazard level and the corresponding set tie bolt spacing. Divide the structural strength hazard level by the corresponding standard value to obtain the strength hazard standard result. Then, divide the corresponding set tie bolt spacing by the strength hazard standard result to obtain the corresponding tie bolt spacing analysis result. Based on the strength hazard standard result, adjust the bolt spacing in reverse: reduce the bolt spacing (increase the number of connection points) for high risk (large value); increase the bolt spacing appropriately for low risk (small value) (reduce material costs and reduce damage to the structure during connection). Optimize the design according to the actual risk level to avoid safety redundancy or insufficiency caused by fixed spacing.

[0063] S5. Connect the structures based on the obtained analysis results of the tie bolt spacing;

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

[0065] The obtained tie bolt spacing analysis results are used to implant tie bolts at the corresponding positions according to the obtained tie bolt spacing analysis results, thereby connecting the structure. For example, if the spacing is 5cm, then a tie bolt is implanted at a spacing of 5cm at the position where connection is required.

[0066] It should be noted that the setting parameters (such as weighting weights and standard values) in this embodiment are obtained by those skilled in the art through experiments using historical data. Specifically, the experimental method involves acquiring at least 500 sets of historical concrete pouring data for the location of the hydraulic structures, along with the material and bolt information of the hydraulic structures, and the bolt spacing. The results are then used to determine whether the hydraulic structures can achieve a connection effect within a safe timeframe. Simultaneously, the historical data is imported into the embodiment of this application to calculate the tie bolt spacing analysis results. The tie bolt spacing analysis results and the corresponding bolt connection spacing that achieves a connection effect within a safe timeframe are then imported into fitting software for iterative data fitting, outputting the result that meets the maximum standard. Regarding the setting of accuracy parameters, it's important to note that MATLAB is the preferred fitting software. Its advantages include: by collecting at least 500 sets of data on concrete pouring, material conditions, bolt conditions, bolt spacing, and connection results of historical hydraulic structures, it comprehensively reflects the complex conditions of hydraulic structures in actual operation. This data, derived from real historical cases, closely matches actual engineering scenarios, ensuring that subsequent parameter settings based on this data more accurately reflect the actual situation and improve the reliability of the tie bolt spacing analysis results. The performance of hydraulic structures is comprehensively affected by multiple factors such as concrete pouring, materials, and bolts, with complex interactions between these factors. Analyzing a large amount of historical data can capture the complex relationships between these factors, such as how concrete pouring speed and direction, along with material properties and bolt performance, jointly affect tie bolt spacing and connection results. Traditional theoretical analysis may struggle to consider all these complex interrelationships, while analysis based on actual historical data can more comprehensively and accurately grasp these relationships, thus making the parameter settings more precise. The tie bolt spacing analysis results and actual connection effect data are imported into the fitting software for iterative fitting, continuously adjusting the parameters to improve the accuracy of the judgment. This iterative process can gradually optimize the set parameters to better adapt to various different situations, thereby obtaining a more accurate analysis model of the tie bolt spacing and reducing analysis errors caused by inaccurate parameters.

[0067] The steps of this embodiment have the following advantages: Based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure, an impact risk assessment of concrete pouring is conducted; based on the material properties and bolt conditions of the hydraulic structure, a connection risk assessment is conducted; based on the concrete pouring impact risk assessment and the connection risk assessment, a tie bolt spacing analysis is performed. This reduces the number of unnecessary bolts and the damage to the structure during the connection process, while ensuring reinforcement of high-risk areas, effectively improving the safety of the hydraulic structure construction process.

[0068] Example 2

[0069] like Figure 4 As shown, this embodiment provides a dynamic optimization system for the spacing of tie bolts in hydraulic structures based on big data analysis. The system includes: a data acquisition module for acquiring concrete pouring data at the location of the hydraulic structure, as well as information on the materials and bolts of the structure; an impact hazard assessment module for assessing the impact hazard of concrete pouring based on the concrete pouring data and the connection status of the hydraulic structure; a connection hazard assessment module for assessing the connection hazard based on the materials and bolts of the hydraulic structure; a tie bolt spacing analysis module for analyzing the tie bolt spacing based on the concrete pouring impact hazard assessment and the connection hazard assessment; a structure connection module for connecting the structures based on the acquired tie bolt spacing analysis results; and a control module for controlling the operation of other modules. Figure 4 The arrows in the diagram indicate the data transmission direction for each module.

[0070] Example 3

[0071] An electronic device according to an embodiment of this application includes a processor and a memory. The memory stores a computer program that can be called by the processor. The processor executes a dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis by calling the computer program stored in the memory. It should be noted that all computer programs for the dynamic optimization method for the spacing of tie bolts in hydraulic structures based on big data analysis are implemented using the C language.

[0072] Example 4

[0073] This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored.

[0074] When the computer program runs on the computer device, it enables the computer device to execute the above-mentioned dynamic optimization method for tie bolt spacing in hydraulic structures based on big data analysis.

[0075] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for IoT devices and media are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0076] The systems, media, and methods provided in this application are one-to-one correspondences. Therefore, the systems and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0077] 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.

[0078] 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, as well as 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.

[0079] 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.

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

[0081] Memory may include non-persistent storage 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.

[0082] 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 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.

[0083] 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.

[0084] 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 dynamic optimization of tie bolt spacing in hydraulic structures based on big data analysis, characterized in that, Includes the following steps: S1. Obtain concrete pouring data at the location of the hydraulic structure, and also obtain information on the materials and bolts of the hydraulic structure. S2. Conduct an impact risk assessment of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure. The impact hazard assessment of concrete pouring includes the following specific steps: The concrete pouring speed of the corresponding concrete pouring is obtained. The impact of the structure is analyzed based on the average concrete pouring speed at each point. The concrete pouring speed and concrete density are obtained through sensors. The concrete pouring speed and concrete density are substituted into the concrete pouring impact force calculation formula to calculate the corresponding concrete pouring impact force. The concrete pouring impact force at each position along the edge of the corresponding hydraulic structure is obtained. Data on the set connection strength and defects at the joints of hydraulic structures are obtained. Anomaly analysis of joint defects is performed based on the defect data. The formula for anomaly analysis of joint defects is: the area of ​​the defect divided by the total surface area of ​​the joint. Based on the results of the anomaly analysis of joint defects, the set connection strength of the hydraulic structure joints, and the impact force of concrete pouring, the impact hazard of concrete pouring is assessed. S3. Conduct a connection hazard assessment based on the material properties and bolt conditions of the hydraulic structure; The specific steps include the following: Data on damage to hydraulic structures during the historical bolt implantation process at corresponding connection strengths is obtained. This damage data includes the increase in cracks. Connection damage analysis is performed using this historical data on damage to hydraulic structures during the bolt implantation process at corresponding connection strengths. Obtain the connection strength of the corresponding bolt, and divide the connection strength of the standard bolt by the connection strength of the corresponding bolt to obtain the connection anomaly of the corresponding bolt. The results of damage analysis and bolt connection anomalies are obtained, and the weighted sum of the two yields the connection risk assessment result. S4. Analysis of tie bolt spacing based on impact hazard assessment of concrete pouring and connection hazard assessment; S5. Connect the structures based on the obtained analysis results of the tie bolt spacing.

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

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

4. The method for dynamic optimization of tie bolt spacing in hydraulic structures based on big data analysis according to claim 1, characterized in that, The concrete pouring data includes the concrete pouring flow rate and velocity data at the installation location of the corresponding hydraulic structure, which are used to analyze the impact of the average concrete pouring at the corresponding location on the corresponding structure. The material conditions of the hydraulic structure include the connection strength of the material and the damage at the connection.

5. The method for dynamic optimization of tie bolt spacing in hydraulic structures based on big data analysis according to claim 1, characterized in that, The damage analysis calculation formula is as follows: Where n represents the number of times the historical bolts were implanted into the hydraulic structure corresponding to the connection strength, sci represents the increased crack area, and sm represents the total surface area of ​​the connection. To increase the weight of the crack's influence, Sv represents the defect anomaly at the joint.

6. A dynamic optimization system for the spacing of tie bolts in hydraulic structures based on big data analysis, implemented according to any one of claims 1-5, characterized in that the system... include: The data acquisition module is used to acquire data on the concrete pouring status at the location of the hydraulic structure, as well as the material status and bolt status of the hydraulic structure. The impact hazard assessment module assesses the impact hazard of concrete pouring based on concrete pouring data at the location of the hydraulic structure and the connection status of the hydraulic structure. The connection hazard assessment module assesses connection hazards based on the material properties and bolt conditions of the hydraulic structure. The bolt spacing analysis module performs tie bolt spacing analysis based on the impact hazard assessment of concrete pouring and the connection hazard assessment. The structure connection module connects structures based on the obtained analysis results of the tie bolt spacing. It also includes a control module, which is used to control the operation of other modules.

7. 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 tie bolt spacing of hydraulic structures based on big data analysis as described in any one of claims 1-5 by calling the computer program stored in the memory.

Images