Breakwater section layered construction stability analysis method and system

Abstract

The invention discloses a breakwater section layered construction stability analysis method and system, and relates to the technical field of building construction, a preliminary longitudinal analysis module constructs a slope instability risk coefficient Bsxs by using related structure data information, and preliminarily judges the safety of a breakwater; the layered instability analysis module obtains an interface failure coefficient Jsxs in combination with the difference of each layer of material, and by comprehensively considering the data of the two layers, the system further realizes double evaluation on the stability of the breakwater, and the double evaluation effectively enhances the comprehensive stability analysis capability of the system, so that the prediction accuracy is improved, and the stability of the breakwater is improved. An evaluation threshold value is set through the treatment module and compared with a comprehensive stability evaluation index Zpzs (J, B), the system can give out corresponding instructions according to different stability states and implement dynamic treatment, and the system can take corresponding countermeasures for risks of different levels, so that disasters caused by stability reduction are further avoided.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, and in particular to a method and system for analyzing the stability of layered construction of a breakwater section. Background Art

[0002] In the field of coastal engineering and flood control engineering, the construction and maintenance of breakwaters play an important role. Breakwaters are a typical coastal protection structure, mainly used to mitigate or resist the impact of natural disasters such as waves and floods on coastal facilities. Specifically, since breakwaters are usually composed of multiple layers of different materials, and each layer has different physical properties, layered construction stability analysis has become an important task to ensure the integrity and safety of breakwater structures.

[0003] Although the existing breakwater design and construction technology can ensure the structural stability of the breakwater to a certain extent, it still faces some shortcomings and challenges. For example, there is still a lack of accurate analysis methods for the interface failure problem caused by the difference in physical properties between different material layers, which is prone to local sliding or instability after construction. At the same time, the slope state also needs to be analyzed one by one for each layer in order to effectively foresee the potential risk of instability. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for analyzing the stability of breakwater section layered construction, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a breakwater section layered construction stability analysis system, including an information acquisition module, an information processing module, a preliminary longitudinal analysis module, a layered instability analysis module and a governance module;

[0006] The information acquisition module is used to obtain the construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section, so as to identify the relevant layered state information of the breakwater section, monitor the relevant physical property data information of each layer material according to the relevant layered state information, and monitor the relevant structural data information of the inclined area of ​​the breakwater;

[0007] The information processing module is used to pre-process the relevant data information obtained in the information acquisition module, remove noise and abnormal values, and establish a levee stability prediction model in combination with historical data;

[0008] The preliminary longitudinal analysis module is used to construct the slope instability risk coefficient Bsxs of the corresponding layer according to the relevant structural data information, and to preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs;

[0009] The layered instability analysis module analyzes the influence of the differences in the materials of each layer on the interface stability based on the preliminary analysis results in the preliminary longitudinal analysis module and the relevant physical property data information of the materials of each layer, so as to obtain the interface failure coefficient Jsxs of the corresponding layer, and inputs the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to obtain the comprehensive stability evaluation index Zpzs(J,B) through fitting;

[0010] The governance module is used to pre-set an evaluation threshold and compare and analyze it with the comprehensive stability evaluation index Zpzs(J, B) to comprehensively estimate the stability of the breakwater.

[0011] Preferably, the information acquisition module includes an identification unit, a first monitoring unit and a second monitoring unit;

[0012] The identification unit is used to draw a three-dimensional embankment model according to the construction design drawings using computer-aided design software, and at the same time perform a longitudinal cutting operation on the three-dimensional embankment model to obtain a breakwater section, and obtain relevant layered state information according to the breakwater section, wherein the relevant layered state information includes the name of each layer of material in the breakwater, the setting order of each layer of material, and the total number of layers N;

[0013] The first monitoring unit is used to monitor the relevant physical property data information of each layer of material according to the relevant layered state information, wherein the relevant physical property data information of each layer of material includes the Poisson's ratio Bsc, elastic modulus difference Txcc, compaction difference Ysc and bonding strength Tnj of each layer of material in the breakwater;

[0014] The second monitoring unit is used to monitor and record relevant structural data information of the inclined area of ​​the breakwater, wherein the relevant structural data information includes the slope height Pgz of each layer, the unit weight Tdz of the material, the internal friction angle α and the slope β of the material.

[0015] Preferably, the information processing module includes a preprocessing unit and a storage unit;

[0016] The preprocessing unit is used to preprocess the relevant physical property data information of each layer of material and the relevant structural data information of the inclined area of ​​the breakwater, and the preprocessing includes removing noise, removing duplicate values, filling missing values ​​and data smoothing operations to construct a breakwater data set, and then using dimensionless processing technology to map the information values ​​in the breakwater data set to the interval [0, 1];

[0017] The storage unit is used to transmit the levee data set collected within a fixed period to the cloud platform at a regular interval to form historical data, and to construct a levee stability prediction model by combining convolutional neural network technology.

[0018] Preferably, the preliminary longitudinal analysis module includes a slope state analysis unit and an early warning unit;

[0019] The slope state analysis unit is used to analyze the sliding force F of each layer using relevant structural data information. h And anti-sliding force F k , and based on the sliding force F of each layer h And anti-sliding force F k , construct the slope instability risk coefficient Bsxs of the corresponding layer, which can be obtained in the following way:

[0020]

[0021] By adding the anti-sliding force F k The sliding force F with the corresponding layer h Compare and calculate the slope instability risk factor Bsxs of the corresponding layer:

[0022]

[0023] In the above formula, Tnj represents the bonding strength of the material in the corresponding layer; Pgz represents the slope height of the corresponding layer; Tdz represents the unit weight of the material in the corresponding layer; β represents the slope of the corresponding layer; α represents the internal friction angle of the material in the corresponding layer.

[0024] Preferably, the early warning unit is used to preliminarily judge the safety of the current breakwater according to the slope instability risk coefficient Bsxs value of the corresponding layer obtained in the slope state analysis unit. The specific judgment content is as follows:

[0025] If the slope instability risk coefficient Bsxs is greater than or equal to 1, it means that the slope of the corresponding layer is in an unstable state, and the corresponding layer will be marked as abnormal;

[0026] If the slope instability risk factor Bsxs is less than 1, it means that the slope of the corresponding layer is in a stable state, and no abnormal marking will be made on the corresponding layer.

[0027] The anomaly-annotated layers are counted to obtain the number of anomaly layers n. When the number of anomaly layers n is greater than When the total number of levels reaches N, an early warning instruction will be issued.

[0028] Preferably, the layered instability analysis module includes a lateral instability analysis unit and a comprehensive analysis unit;

[0029] The lateral instability analysis unit includes a first analysis subunit and a second analysis subunit;

[0030] The first analysis subunit is used to analyze the influence of the difference of each layer of materials on the interface stability according to the relevant physical property data information of each layer of materials after receiving the early warning instruction, and obtain the corresponding interlayer property matching factor Cpyz, which is specifically obtained according to the following formula:

[0031]

[0032] Wherein, Ysc represents the compaction difference, Txcc represents the elastic modulus difference, Bsc represents the Poisson's ratio difference, C represents the first correction constant, and a1 and a2 are weight values.

[0033] Preferably, the second analysis subunit is used to monitor and obtain the pore water pressure Kxsy of each layer in the breakwater in real time using a pore water pressure gauge, and obtain the interface failure coefficient Jsxs of the corresponding layer according to the pore water pressure Kxsy of each layer and the corresponding interlayer property matching factor Cpyz, which is specifically obtained in the following manner:

[0034] Jsxs=b1*Cpyz+b2*Kxsy;

[0035] In the formula, b1 and b2 are weight values.

[0036] Preferably, the comprehensive analysis unit is used to input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model after dimensionless processing, so as to obtain the comprehensive stability evaluation index Zpzs(J,B) by fitting:

[0037]

[0038] Where i = 1, 2, 3, ..., N, N represents the total number of levels, Jsxs i Expressed as the interface failure coefficient of the i-th layer, Jsxs avg Expressed as the average interface failure coefficient, Bsxs i Expressed as the slope instability risk factor of the i-th layer, Bsxs avg It is expressed as the average slope instability risk coefficient, ε and χ are weight values, and Y is expressed as the second correction constant.

[0039] Preferably, the governance module includes a comparison unit and a maintenance unit;

[0040] The comparison unit is used to pre-set the evaluation threshold, which includes a first threshold and a second threshold, and the first threshold is greater than the second threshold. The comprehensive stability evaluation index Zpzs (J, B) is compared and analyzed with the first threshold and the second threshold to comprehensively estimate the stability of the breakwater. The specific contents are as follows:

[0041] If the comprehensive stability evaluation index Zpzs(J,B)≤threshold No. 2, it is estimated that the stability of the current breakwater is not in an abnormal state, and a green command will be issued;

[0042] If the No. 2 threshold value is less than the comprehensive stability evaluation index Zpzs(J,B) ≤ the No. 1 threshold value, it is estimated that the stability of the current breakwater is in an abnormal state, and three yellow instructions will be issued;

[0043] If the comprehensive stability evaluation index Zpzs(J,B) is greater than the No. 1 threshold, the stability of the current breakwater is estimated to be in an abnormal state. At this time, a red command will be continuously issued until the maintenance personnel manually press the pause button;

[0044] The maintenance unit is used to take corresponding management measures according to the instructions obtained in the comparison unit, specifically:

[0045] If a green instruction is issued, preventive measures must be taken, including continuing to monitor the breakwater regularly to prevent potential hazards; regularly checking whether there is any water flow obstruction in the breakwater and cleaning the drainage ditches in a timely manner;

[0046] If a yellow instruction is issued, reinforcement measures need to be added. Specific reinforcement measures include local reinforcement of the abnormal layer with soil nails and anchors for the standard abnormal layer in the early warning unit, and correction of the slope of the abnormal layer through slope cutting operations;

[0047] If a red command is issued, we will go to the breakwater area in time, lock the danger zone through manual intervention, install drainage pipes in the danger zone, and reinforce the breakwater in the danger zone, including the use of concrete and steel mesh.

[0048] A method for analyzing the stability of breakwater section layered construction includes the following steps:

[0049] Step 1: Obtain construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section to identify relevant stratification state information of the breakwater section, monitor relevant physical property data information of each layer material based on the relevant stratification state information, and monitor relevant structural data information of the inclined area of ​​the breakwater;

[0050] Step 2: pre-process the relevant data information obtained in the information acquisition module, remove noise and outliers, and establish a levee stability prediction model in combination with historical data;

[0051] Step 3: Based on the relevant structural data information, construct the slope instability risk coefficient Bsxs of the corresponding layer, and preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs;

[0052] Step 4: Based on the preliminary analysis results in the preliminary longitudinal analysis module, combined with the relevant physical property data information of each layer of materials, analyze the influence of the differences in each layer of materials on the interface stability to obtain the interface failure coefficient Jsxs of the corresponding layer, and input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to fit and obtain the comprehensive stability evaluation index Zpzs(J,B);

[0053] Step 5: pre-set an evaluation threshold, and compare and analyze it with the comprehensive stability evaluation index Zpzs(J,B) to comprehensively estimate the stability of the breakwater.

[0054] The present invention provides a method and system for analyzing the stability of breakwater section layered construction, which has the following beneficial effects:

[0055] (1) According to the cross-sectional structure of the breakwater, the stratified state information of each layer of the breakwater is effectively obtained, so as to accurately identify and monitor the physical property data information of each layer of materials and the relevant structural data information of the inclined area of ​​the breakwater. The system analyzes the instability risk of the slope and the failure risk of the interlayer interface respectively through the combination of the preliminary longitudinal analysis module and the stratified instability analysis module. The preliminary longitudinal analysis module uses the relevant structural data information to construct the slope instability risk coefficient Bsxs and preliminarily judge the safety of the breakwater; while the stratified instability analysis module combines the differences in the materials of each layer to obtain the interface failure coefficient Jsxs. By comprehensively considering the data of both, the system further realizes the dual evaluation of the stability of the breakwater. This dual evaluation effectively enhances the comprehensive stability analysis capability of the system, thereby improving the accuracy of the prediction. By setting the evaluation threshold through the governance module and comparing it with the comprehensive stability evaluation index Zpzs (J, B), the system can issue corresponding instructions according to different stability states and implement dynamic governance. The system can make corresponding response measures for different levels of risks, thereby further avoiding disasters caused by stability decline. The hierarchical treatment further ensures that the breakwater receives appropriate treatment solutions at different stages. This dynamic adjustment feature enables the system to respond quickly to actual conditions to reduce risks and hidden dangers, thereby improving the long-term stability of the breakwater. In short, the system further realizes the precision of stability assessment and intelligent treatment by conducting detailed monitoring, analysis and treatment of each layer of the breakwater section, thereby optimizing the construction quality and safety of the breakwater.

[0056] (2) The preliminary longitudinal analysis module can further effectively warn of the risk of slope instability in advance to reduce the probability of disasters. In addition, the layered instability analysis module in the system analyzes the impact of material differences on interface stability based on a comprehensive consideration of the physical properties of each layer of material and calculates the interface failure coefficient Jsxs. This process further ensures that the interaction between different material layers can be deeply analyzed.

[0057] (3) After receiving the early warning instruction, the physical property differences of each layer of material are analyzed to obtain the corresponding interlayer property matching. This analysis can accurately evaluate the impact of the physical property differences between the layers of material on the interface stability and ensure the scientific evaluation of the interface stability. The second analysis subunit monitors the pore water pressure of each layer in the breakwater in real time and obtains the interface failure coefficient Jsxs of the layer. This function enables the system to comprehensively consider the impact of pore water pressure on interlayer stability, thereby more accurately evaluating the risk of interface failure. Through the comprehensive application of these two analysis subunits, this system can monitor and accurately evaluate the interlayer stability in real time during the breakwater construction process, thereby achieving scientific judgment on potential instability risks.

[0058] (4) According to different instructions, corresponding problems can be discovered and corrected in time to further reduce the risk of instability and ensure that the control measures are targeted and dynamically adjusted. In short, the grading and dynamic adjustment of these measures can not only take appropriate responses to different stability states, but also effectively prevent and solve potential stability problems, protect the structural safety of the breakwater as much as possible, and reduce engineering losses caused by instability. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A block diagram of a breakwater section layered construction stability analysis system according to the present invention;

[0060] Figure 2 The present invention is a schematic flow chart of a method for analyzing the stability of breakwater section layered construction. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Example 1

[0063] See also Figure 1, the present invention provides a breakwater section layered construction stability analysis system, including an information acquisition module, an information processing module, a preliminary longitudinal analysis module, a layered instability analysis module and a governance module;

[0064] The information acquisition module is used to obtain the construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section, so as to identify the relevant layered state information of the breakwater section, monitor the relevant physical property data information of each layer material according to the relevant layered state information, and monitor the relevant structural data information of the inclined area of ​​the breakwater;

[0065] The information processing module is used to pre-process the relevant data information obtained in the information acquisition module, remove noise and abnormal values, and establish a levee stability prediction model in combination with historical data;

[0066] The preliminary longitudinal analysis module is used to construct the slope instability risk coefficient Bsxs of the corresponding layer according to the relevant structural data information, and to preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs;

[0067] The layered instability analysis module analyzes the influence of the differences in the materials of each layer on the interface stability based on the preliminary analysis results in the preliminary longitudinal analysis module and the relevant physical property data information of the materials of each layer, so as to obtain the interface failure coefficient Jsxs of the corresponding layer, and inputs the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to obtain the comprehensive stability evaluation index Zpzs(J,B) through fitting;

[0068] The governance module is used to pre-set an evaluation threshold and compare and analyze it with the comprehensive stability evaluation index Zpzs(J, B) to comprehensively estimate the stability of the breakwater.

[0069] During the operation of this system, the system can effectively improve the safety and stability of the construction during the breakwater construction process through the joint action of multiple modules. First, through the design of the information acquisition module, the system can obtain detailed layering information from the construction design drawings in advance, and use computer-aided design software to generate a three-dimensional embankment model, combined with the extraction of cutting and cross-section layering information, to effectively monitor the physical properties of each layer of materials and the structural data of the inclined area, thereby reducing human mismeasurement and improving monitoring accuracy. By obtaining these detailed information, it further lays the foundation for ensuring the scientific selection and arrangement of materials during the construction process. Secondly, the information processing module is used to pre-process the data, eliminate the noise and outliers that appear during the monitoring process, and combine historical data to establish a embankment stability prediction model, which can more accurately predict and analyze the state of the breakwater. The preliminary longitudinal analysis module combines the structural data information to construct the slope instability risk coefficient Bsxs. Through the analysis of this coefficient, a preliminary assessment of the safety of the breakwater can be quickly carried out. Subsequently, the layered instability analysis module calculates the interface failure coefficient Jsxs of each layer based on the physical property differences between different material layers, and further fits the comprehensive stability evaluation index Zpzs (J, B) in combination with the slope instability risk coefficient Bsxs, making the stability analysis of the breakwater more comprehensive and accurate. Finally, the governance module can effectively identify the stability state of the breakwater by comparing and analyzing the comprehensive stability evaluation index Zpzs (J, B) with the preset threshold, and provide corresponding governance measures based on the analysis results. This multi-faceted evaluation and judgment mechanism further ensures that the breakwater can promptly discover potential stability problems during construction and use, and take corresponding preventive or maintenance measures, thereby improving the overall risk resistance of the breakwater, reducing the probability of structural failure and sliding instability, and effectively ensuring the long-term safety of the breakwater.

[0070] Example 2

[0071] Please refer to Figure 1 , specifically: the information acquisition module includes an identification unit, a first monitoring unit and a second monitoring unit;

[0072] The identification unit is used to draw a three-dimensional embankment model according to the construction design drawings using computer-aided design software, and at the same time perform a longitudinal cutting operation on the three-dimensional embankment model to obtain a breakwater section, and obtain relevant layered state information according to the breakwater section, wherein the relevant layered state information includes the name of each layer of material in the breakwater, the setting order of each layer of material, and the total number of layers N;

[0073] Cutting the three-dimensional dam model to form cross-sections can help improve the accuracy of identification and analysis of each layer of the breakwater and further reduce mismeasurements caused by human intervention.

[0074] The first monitoring unit is used to monitor the relevant physical property data information of each layer of material according to the relevant layered state information, wherein the relevant physical property data information of each layer of material includes the Poisson's ratio Bsc, elastic modulus difference Txcc, compaction difference Ysc and bonding strength Tnj of each layer of material in the breakwater;

[0075] The second monitoring unit is used to monitor and record relevant structural data information of the inclined area of ​​the breakwater, wherein the relevant structural data information includes the slope height Pgz of each layer, the unit weight Tdz of the material, the internal friction angle α and the slope β of the material.

[0076] The information processing module includes a preprocessing unit and a storage unit;

[0077] The preprocessing unit is used to preprocess the relevant physical property data information of each layer of material and the relevant structural data information of the inclined area of ​​the breakwater, and the preprocessing includes noise removal, duplicate value removal, missing value filling and data smoothing operations, wherein the missing value filling methods include mean filling, median filling, interpolation filling and regression filling, so as to construct a breakwater data set, and then use the dimensionless processing technology to map the information values ​​in the breakwater data set to the interval [0, 1];

[0078] The storage unit is used to transmit the levee data set collected within a fixed period to the cloud platform at a regular interval to form historical data, and to construct a levee stability prediction model by combining convolutional neural network technology.

[0079] In this embodiment, the system further improves the accuracy and safety of the breakwater layered construction process through the close cooperation of the identification unit, the first monitoring unit and the second monitoring unit in the information acquisition module. The identification unit can draw a three-dimensional embankment model and perform longitudinal cutting according to the construction design drawings through computer-aided design software to accurately obtain the cross-sectional information of the breakwater, which lays a solid foundation for subsequent material identification and monitoring, and ensures the accuracy of information and the effectiveness of the system. The first monitoring unit can monitor the physical property data of each layer of the breakwater material in real time to ensure that the mechanical properties between each layer of material are accurately reflected. The second monitoring unit further records the relevant structural data of the inclined area of ​​the breakwater. This multi-dimensional monitoring system ensures comprehensive monitoring of each layer and inclined area of ​​the breakwater, so as to better predict and analyze potential risks in construction. In the information processing module, the preprocessing unit can preprocess the collected physical property and structural data information, and further improve the data quality and reliability by removing noise, duplicate values ​​and filling missing data. Combined with dimensionless processing technology, the processed information is mapped to the interval, unifying the dimensions of different physical quantities, and facilitating subsequent analysis operations. The system also uploads the processed data to the cloud platform through the storage unit, and combines convolutional neural network technology to build a dyke stability prediction model. This model uses historical data for deep learning, can dynamically evaluate the stability of the breakwater, and realizes intelligent prediction of the breakwater's layered construction process.

[0080] Example 3

[0081] Please refer to Figure 1 ,Specifically: the preliminary longitudinal analysis module includes a slope state analysis unit and an early warning unit;

[0082] The slope state analysis unit is used to analyze the sliding force F of each layer using relevant structural data information. h And anti-sliding force F k , and based on the sliding force F of each layer h And anti-sliding force F k , construct the slope instability risk coefficient Bsxs of the corresponding layer, which can be obtained in the following way:

[0083]

[0084] By adding the anti-sliding force F k The sliding force F with the corresponding layer h Compare and calculate the slope instability risk factor Bsxs of the corresponding layer:

[0085]

[0086] In the above formula, Tnj represents the bonding strength of the material in the corresponding layer; Pgz represents the slope height of the corresponding layer; Tdz represents the unit weight of the material in the corresponding layer; β represents the slope of the corresponding layer, that is, the angle between the slope and the horizontal plane; α represents the internal friction angle of the material in the corresponding layer, which describes the internal friction performance of the material. The larger the internal friction angle, the stronger the anti-slip ability of the material.

[0087] Among them, the sliding force F h It is the projection force of the slope gravity acting on the slope surface. The purpose of the calculation is to analyze the shear stress borne by the slope material in the slope direction.

[0088] Anti-sliding force F k It is the force that resists sliding, mainly generated by the internal friction and bonding strength of each layer of material. These forces prevent sliding through the characteristics of the slope material;

[0089] The unit weight Tdz of the material in the corresponding layer represents the weight of the material per unit volume. The denser the material, the greater its unit weight, resulting in a greater sliding force F h ; The unit weight Tdz of the material in the corresponding layer can be measured and obtained by a geodensitometer or a nuclear density meter;

[0090] The slope height Pgz of the corresponding layer is the vertical height of the slope, usually in meters (m); it can be measured by a total station or a laser rangefinder;

[0091] The bonding strength Tnj of the materials in the corresponding layer can be monitored and obtained by a pull-out tester or a shear tester;

[0092] The slope β of the corresponding layer can be monitored and obtained by a digital slope meter or a total station;

[0093] The internal friction angle α of the material in the corresponding layer can be monitored and obtained by an in-situ shear test device, a triaxial tester or a direct shear tester;

[0094] It should be noted that trigonometric functions are used to decompose the directionality of force. The trigonometric functions are used here because the sliding force depends on the inclination angle of the slope. In the slope, the sliding force is not completely vertical or horizontal, but along the direction of the slope surface. The sine function sin(β) of the slope angle can be used to calculate the sliding force component along the slope surface; and the cosine function cos(β) is used to calculate the vertical component of the normal stress, which is combined with the friction angle to produce the anti-sliding force. This decomposition method allows us to more accurately describe the physical phenomenon of slope sliding and anti-sliding.

[0095] The early warning unit is used to preliminarily judge the safety of the current breakwater according to the slope instability risk coefficient Bsxs value of the corresponding layer obtained in the slope state analysis unit. The specific judgment content is as follows:

[0096] If the slope instability risk coefficient Bsxs is greater than or equal to 1, it means that the slope of the corresponding layer is in an unstable state. At this time, the slope may have become unstable or is about to slide. At this time, the corresponding layer will be marked as abnormal;

[0097] If the slope instability risk coefficient Bsxs is less than 1, it means that the slope of the corresponding layer is in a stable state. The larger the slope instability risk coefficient Bsxs is, the higher the slope stability of the corresponding layer is. In this case, the corresponding layer will not be marked as abnormal.

[0098] The anomaly-annotated layers are counted to obtain the number of anomaly layers n. When the number of anomaly layers n is greater than When the total number of levels reaches N, an early warning instruction will be issued.

[0099] In this embodiment, the system further improves the assessment and early warning capabilities of breakwater construction stability through the slope state analysis unit and early warning unit of the preliminary longitudinal analysis module. Specifically, the slope state analysis unit calculates the sliding force F of each layer. h And anti-sliding force F k The analysis is carried out to construct the corresponding slope instability risk coefficient Bsxs, which effectively evaluates the slope stability of each layer. The calculation involves the analysis of the structure of each layer. The comprehensive analysis of these factors ensures a multi-dimensional and accurate evaluation of the anti-sliding capacity of each layer of the breakwater. The early warning unit makes a preliminary safety judgment based on the results of the slope state analysis unit by setting a threshold. When the slope instability risk coefficient Bsxs is greater than or equal to 1, the abnormal layer is marked in time. This marking mechanism can quickly identify potential risk areas. For those stone layers with a risk coefficient less than 1, they are marked as stable. The number of abnormal layers n is counted and when the number of abnormal layers n exceeds When the total number of layers reaches N, an early warning instruction is issued. This measure effectively enhances the early warning capability of potential construction risks. In short, the design of this system further improves the safety management level of breakwater construction stability through accurate slope instability risk assessment and timely early warning function. It can identify and mark potential instability risk layers early during construction, take appropriate control measures in time, prevent serious landslide events, and thus ensure the long-term stability and safety of the breakwater.

[0100] Example 4

[0101] Please refer to Figure 1 ,Specifically: the layered instability analysis module includes a lateral instability analysis unit and a comprehensive analysis unit;

[0102] The lateral instability analysis unit includes a first analysis subunit and a second analysis subunit;

[0103] The first analysis subunit is used to analyze the influence of the difference of each layer of materials on the interface stability according to the relevant physical property data information of each layer of materials after receiving the early warning instruction, and obtain the corresponding interlayer property matching factor Cpyz, which is specifically obtained according to the following formula:

[0104]

[0105] Wherein, Ysc represents the difference in compaction degree, Txcc represents the difference in elastic modulus, Bsc represents the difference in Poisson's ratio, C represents the first correction constant, a1 and a2 are both weight values, wherein 0≤a1≤1, 0≤a2≤1, and a1+a2=1.

[0106] The above-mentioned compaction difference value Ysc can be measured and obtained by a nuclear density meter or a drop weight density meter;

[0107] The elastic modulus difference Txcc can be measured and obtained by a compression tester or a strain gauge;

[0108] The Poisson's ratio difference Bsc can be measured by a triaxial testing machine or a strain gauge.

[0109] The second analysis subunit is used to monitor and obtain the pore water pressure Kxsy of each layer in the breakwater in real time using a pore water pressure gauge, and obtain the interface failure coefficient Jsxs of the corresponding layer according to the pore water pressure Kxsy of each layer and the corresponding interlayer property matching factor Cpyz, which is specifically obtained in the following way:

[0110] Jsxs=b1*Cpyz+b2*Kxsy;

[0111] Wherein b1 and b2 are weight values, wherein 0≤b1≤1, 0≤b2≤1, and b1+b2=1.

[0112] In this embodiment, the layered instability analysis module in the system further effectively improves the comprehensive evaluation capability of the stability between each layer of the breakwater through the first analysis subunit and the second analysis subunit of the lateral instability analysis unit. Specifically, the module conducts an in-depth analysis of the interlayer stability, thereby ensuring the reliability of the breakwater construction. First, after receiving the early warning instruction, the first analysis subunit analyzes the impact of material differences on the interface stability based on the physical property data information of each layer of material, and calculates the interlayer property matching factor Cpyz, which comprehensively considers the degree of property difference between each layer of material. This analysis can effectively identify the physical property mismatch problem of each layer of material at the interface, thereby evaluating the interface stability. Secondly, by comprehensively considering the influence of pore water pressure, the analysis of interlayer stability is further refined to calculate the interface failure coefficient Jsxs of the corresponding layer, which provides an evaluation of the stability of the interface under actual conditions.

[0113] Compatibility and gradual transition: The materials between layers should have good compatibility. If the properties of the materials differ too much, stress concentration can be reduced by setting a gradual layer, such as gradually transitioning from fine sand to coarser gravel. The transition layer can alleviate sudden changes in the interface, thereby improving overall stability.

[0114] Example 5

[0115] Please refer to Figure 1 Specifically: the comprehensive analysis unit is used to input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model after dimensionless processing, so as to obtain the comprehensive stability evaluation index Zpzs(J,B) by fitting:

[0116]

[0117] Where i = 1, 2, 3, ..., N, N represents the total number of levels, Jsxs i Expressed as the interface failure coefficient of the i-th layer, Jsxs avg Expressed as the average interface failure coefficient, Bsxs i Expressed as the slope instability risk factor of the i-th layer, Bsxs avg It is expressed as the average slope instability risk coefficient, ε and χ are weight values, where 0≤ε≤1, 0≤χ≤1, and ε+χ=1, Y is expressed as the second correction constant, and the weight value can be obtained by referring to the hierarchical analysis method.

[0118] Among them, the convolutional neural network technology is used to build the initial model, and the initial model is trained and tested with the dike data set and historical data. The trained initial model is used as the state recognition model, and the feature information in the state recognition model is obtained respectively. The state recognition model is trained and tested with the obtained feature information, and the trained state recognition model is used as the dike stability prediction model.

[0119] The governance module includes a comparison unit and a maintenance unit;

[0120] The comparison unit is used to pre-set the evaluation threshold, which includes a first threshold and a second threshold, and the first threshold is greater than the second threshold. The comprehensive stability evaluation index Zpzs (J, B) is compared and analyzed with the first threshold and the second threshold to comprehensively estimate the stability of the breakwater. The specific contents are as follows:

[0121] If the comprehensive stability evaluation index Zpzs(J,B)≤threshold No. 2, it is estimated that the stability of the current breakwater is not in an abnormal state, and a green command will be issued;

[0122] If the No. 2 threshold value is less than the comprehensive stability evaluation index Zpzs(J,B) ≤ the No. 1 threshold value, it is estimated that the stability of the current breakwater is in an abnormal state, and three yellow instructions will be issued;

[0123] If the comprehensive stability evaluation index Zpzs(J,B) is greater than the No. 1 threshold, the stability of the current breakwater is estimated to be in an abnormal state. At this time, a red command will be continuously issued until the maintenance personnel manually press the pause button;

[0124] The maintenance unit is used to take corresponding management measures according to the instructions obtained in the comparison unit, specifically:

[0125] If a green command is issued, the system is in a relatively safe state, so there is no need for large-scale repairs or changes. However, in order to further consolidate the stability of the breakwater, preventive management measures still need to be taken at this time. Preventive management measures include continuing to monitor the breakwater regularly to prevent potential hidden dangers; regularly checking whether there is water flow in the breakwater, and cleaning the drainage ditches in time to maintain drainage performance and prevent water pressure accumulation caused by poor drainage;

[0126] If a yellow command is issued, although the situation has not yet reached a dangerous state, there is already a potential risk of instability. The control measures need to include appropriate repair and reinforcement on a preventive basis. At this time, reinforcement measures need to be added. Specific reinforcement measures include using soil nails and anchor rods to locally reinforce the abnormal layer in the standard abnormal layer in the early warning unit to enhance the shear resistance of the soil structure; and correcting the slope of the abnormal layer through slope cutting operations. By adjusting the slope or cutting the slope, the sliding force is reduced and the risk of slope instability is reduced.

[0127] If a red command is issued, we will promptly go to the breakwater area, lock the danger zone through manual intervention, install drainage pipes in the danger zone, divert groundwater, quickly reduce the pore water pressure, and reinforce the breakwater in the danger zone. The reinforcement work includes the use of concrete and steel mesh. If necessary, load can be added to the top of the embankment to increase anti-slip force and prevent landslides. Depending on the degree of danger of the breakwater, it may be necessary to redesign and adjust some structures, including rebuilding or replacing unstable parts, to ensure the safety of the overall structure.

[0128] It should be noted that the AHP is a qualitative and quantitative analysis method that can decompose complex problems into multiple levels. By comparing the importance of factors at each level, it can help decision makers make decisions on complex problems and determine the final decision plan. In this process, the AHP can be used to determine the weight coefficients of these indicators. The steps of the AHP are as follows:

[0129] Clarify the problem: First, you need to clarify the decision problem and determine the decision goals and alternatives;

[0130] Establish a hierarchical model: According to the nature of the problem and the decision-making goal, the problem is decomposed into different levels, usually including the goal level, the criterion level and the solution level; the goal level is the overall goal of the decision-making problem, the criterion level is the criterion used to evaluate alternative solutions, and the solution level is the alternative solutions;

[0131] Construct a judgment matrix: Construct a judgment matrix by comparing the importance of elements in the same level relative to an element in the previous level. The elements in the judgment matrix represent the ratio of the relative importance of two elements;

[0132] Hierarchical single sorting: Based on the judgment matrix, the relative importance ranking weight of elements in the same level relative to an element in the previous level is calculated. This process is called hierarchical single sorting;

[0133] Consistency test: Check the consistency of the judgment matrix, that is, check whether the judgment matrix meets the consistency condition. If the consistency condition is met, the hierarchical single sorting result is considered reasonable;

[0134] Total ranking of levels: Calculate the composite weight of each layer element to the system goal, and perform total ranking to determine the total ranking weight of each element at the bottom layer of the hierarchical structure diagram;

[0135] Through the analytic hierarchy process, decision makers can break down complex decision-making problems into different levels and make decisions based on qualitative and quantitative analysis; this method can improve the accuracy and effectiveness of decision-making, and is particularly suitable for complex problems that are difficult to solve with quantitative methods.

[0136] In this embodiment, the module inputs the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model after dimensionless processing to obtain the comprehensive stability evaluation index Zpzs (J, B). This method standardizes the data so that the evaluation indicators from different sources can be compared on the same scale, thereby improving the accuracy and reliability of the evaluation results. According to the value of the comprehensive stability evaluation index Zpzs (J, B), the actual stability state of the breakwater can be further accurately reflected. A hierarchical early warning system is adopted so that the governance measures can be adjusted accordingly according to the actual situation, so that preventive measures can be taken when the stability of the breakwater has not reached a dangerous state, moderate repair and reinforcement can be carried out when the potential risk increases, and emergency manual intervention can be carried out in serious dangerous situations. This hierarchical early warning mechanism can effectively manage and control the safety risks of the breakwater, further avoid excessive repair or maintenance, and save resources and costs. These targeted governance measures not only improve the response speed to potential problems, but also ensure the effectiveness and pertinence of the governance measures, thereby improving the overall stability and safety of the breakwater.

[0137] Example 6

[0138] Please refer to Figure 1 and Figure 2 Specifically: A breakwater section layered construction stability analysis method includes the following steps:

[0139] Step 1: Obtain construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section to identify relevant stratification state information of the breakwater section, monitor relevant physical property data information of each layer material based on the relevant stratification state information, and monitor relevant structural data information of the inclined area of ​​the breakwater;

[0140] Step 2: pre-process the relevant data information obtained in the information acquisition module, remove noise and outliers, and establish a levee stability prediction model in combination with historical data;

[0141] Step 3: Based on the relevant structural data information, construct the slope instability risk coefficient Bsxs of the corresponding layer, and preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs;

[0142] Step 4: Based on the preliminary analysis results in the preliminary longitudinal analysis module, combined with the relevant physical property data information of each layer of materials, analyze the influence of the differences in each layer of materials on the interface stability to obtain the interface failure coefficient Jsxs of the corresponding layer, and input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to fit and obtain the comprehensive stability evaluation index Zpzs(J,B);

[0143] Step 5: pre-set an evaluation threshold, and compare and analyze it with the comprehensive stability evaluation index Zpzs(J,B) to comprehensively estimate the stability of the breakwater.

[0144] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A breakwater section layered construction stability analysis system, characterized by: It includes information acquisition module, information processing module, preliminary longitudinal analysis module, hierarchical instability analysis module and governance module; The information acquisition module is used to obtain the construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section, so as to identify the relevant layered state information of the breakwater section, monitor the relevant physical property data information of each layer material according to the relevant layered state information, and monitor the relevant structural data information of the inclined area of ​​the breakwater; The information processing module is used to pre-process the relevant data information obtained in the information acquisition module, remove noise and abnormal values, and establish a levee stability prediction model in combination with historical data; The preliminary longitudinal analysis module is used to construct the slope instability risk coefficient Bsxs of the corresponding layer according to the relevant structural data information, and to preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs; The layered instability analysis module analyzes the influence of the differences in the materials of each layer on the interface stability based on the preliminary analysis results in the preliminary longitudinal analysis module and the relevant physical property data information of the materials of each layer, so as to obtain the interface failure coefficient Jsxs of the corresponding layer, and inputs the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to obtain the comprehensive stability evaluation index Zpzs(J,B) through fitting; The governance module is used to pre-set an evaluation threshold and compare and analyze it with the comprehensive stability evaluation index Zpzs(J, B) to comprehensively estimate the stability of the breakwater.

2. A breakwater section layered construction stability analysis system according to claim 1, characterized in that: The information acquisition module includes an identification unit, a first monitoring unit and a second monitoring unit; The identification unit is used to draw a three-dimensional embankment model according to the construction design drawings using computer-aided design software, and at the same time perform a longitudinal cutting operation on the three-dimensional embankment model to obtain a breakwater section, and obtain relevant layered state information according to the breakwater section, wherein the relevant layered state information includes the name of each layer of material in the breakwater, the setting order of each layer of material, and the total number of layers N; The first monitoring unit is used to monitor the relevant physical property data information of each layer of material according to the relevant layered state information, wherein the relevant physical property data information of each layer of material includes the Poisson's ratio Bsc, elastic modulus difference Txcc, compaction difference Ysc and bonding strength Tnj of each layer of material in the breakwater; The second monitoring unit is used to monitor and record relevant structural data information of the inclined area of ​​the breakwater, wherein the relevant structural data information includes the slope height Pgz of each layer, the unit weight Tdz of the material, the internal friction angle α and the slope β of the material.

3. A breakwater section layered construction stability analysis system according to claim 1, characterized in that: The information processing module includes a preprocessing unit and a storage unit; The preprocessing unit is used to preprocess the relevant physical property data information of each layer of material and the relevant structural data information of the inclined area of ​​the breakwater, and the preprocessing includes removing noise, removing duplicate values, filling missing values ​​and data smoothing operations to construct a breakwater data set, and then using dimensionless processing technology to map the information values ​​in the breakwater data set to the interval [0, 1]; The storage unit is used to transmit the levee data set collected within a fixed period to the cloud platform at a regular interval to form historical data, and to construct a levee stability prediction model by combining convolutional neural network technology.

4. A breakwater section layered construction stability analysis system according to claim 2, characterized in that: The preliminary longitudinal analysis module includes a slope state analysis unit and an early warning unit; The slope state analysis unit is used to analyze the sliding force F of each layer using relevant structural data information. h And anti-sliding force F k , and based on the sliding force F of each layer h And anti-sliding force F k , construct the slope instability risk coefficient Bsxs of the corresponding layer, which can be obtained in the following way: By adding the anti-sliding force F k The sliding force F with the corresponding layer h Compare and calculate the slope instability risk factor Bsxs of the corresponding layer: In the above formula, Tnj represents the bonding strength of the material in the corresponding layer; Pgz represents the slope height of the corresponding layer; Tdz represents the unit weight of the material in the corresponding layer; β represents the slope of the corresponding layer; α represents the internal friction angle of the material in the corresponding layer.

5. A breakwater section layered construction stability analysis system according to claim 4, characterized in that: The early warning unit is used to preliminarily judge the safety of the current breakwater according to the slope instability risk coefficient Bsxs value of the corresponding layer obtained in the slope state analysis unit. The specific judgment content is as follows: If the slope instability risk coefficient Bsxs is greater than or equal to 1, it means that the slope of the corresponding layer is in an unstable state, and the corresponding layer will be marked as abnormal; If the slope instability risk factor Bsxs is less than 1, it means that the slope of the corresponding layer is in a stable state, and no abnormal marking will be made on the corresponding layer. The anomaly-annotated layers are counted to obtain the number of anomaly layers n. When the number of anomaly layers n is greater than When the total number of levels reaches N, an early warning instruction will be issued.

6. A breakwater section layered construction stability analysis system according to claim 5, characterized in that: The layered instability analysis module includes a lateral instability analysis unit and a comprehensive analysis unit; The lateral instability analysis unit includes a first analysis subunit and a second analysis subunit; The first analysis subunit is used to analyze the influence of the difference of each layer of materials on the interface stability according to the relevant physical property data information of each layer of materials after receiving the early warning instruction, and obtain the corresponding interlayer property matching factor Cpyz, which is specifically obtained according to the following formula: Wherein, Ysc represents the compaction difference, Txcc represents the elastic modulus difference, Bsc represents the Poisson's ratio difference, C represents the first correction constant, and a1 and a2 are weight values.

7. A breakwater section layered construction stability analysis system according to claim 6, characterized in that: The second analysis subunit is used to monitor and obtain the pore water pressure Kxsy of each layer in the breakwater in real time using a pore water pressure gauge, and obtain the interface failure coefficient Jsxs of the corresponding layer according to the pore water pressure Kxsy of each layer and the corresponding interlayer property matching factor Cpyz, which is specifically obtained in the following way: Jsxs=b1*Cpyz+b2*Kxsy; In the formula, b1 and b2 are weight values.

8. A breakwater section layered construction stability analysis system according to claim 6, characterized in that: The comprehensive analysis unit is used to input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model after dimensionless processing, so as to obtain the comprehensive stability evaluation index Zpzs(J,B) by fitting: Where i = 1, 2, 3, ..., N, N represents the total number of levels, Jsxs i Expressed as the interface failure coefficient of the i-th layer, Jsxs avg Expressed as the average interface failure coefficient, Bsxs i Expressed as the slope instability risk factor of the i-th layer, Bsxs avg It is expressed as the average slope instability risk coefficient, ε and χ are weight values, and Y is expressed as the second correction constant.

9. A breakwater section layered construction stability analysis system according to claim 1, characterized in that: The governance module includes a comparison unit and a maintenance unit; The comparison unit is used to pre-set the evaluation threshold, which includes a first threshold and a second threshold, and the first threshold is greater than the second threshold. The comprehensive stability evaluation index Zpzs (J, B) is compared and analyzed with the first threshold and the second threshold to comprehensively estimate the stability of the breakwater. The specific contents are as follows: If the comprehensive stability evaluation index Zpzs(J,B)≤threshold No. 2, it is estimated that the stability of the current breakwater is not in an abnormal state, and a green command will be issued; If the No. 2 threshold value is less than the comprehensive stability evaluation index Zpzs(J,B) ≤ the No. 1 threshold value, it is estimated that the stability of the current breakwater is in an abnormal state, and three yellow instructions will be issued; If the comprehensive stability evaluation index Zpzs(J,B) is greater than the No. 1 threshold, the stability of the current breakwater is estimated to be in an abnormal state. At this time, a red command will be continuously issued until the maintenance personnel manually press the pause button; The maintenance unit is used to take corresponding management measures according to the instructions obtained in the comparison unit, specifically: If a green instruction is issued, preventive measures must be taken, including continuing to monitor the breakwater regularly to prevent potential hazards; regularly checking whether there is any water flow obstruction in the breakwater and cleaning the drainage ditches in a timely manner; If a yellow instruction is issued, reinforcement measures need to be added. Specific reinforcement measures include local reinforcement of the abnormal layer with soil nails and anchors for the standard abnormal layer in the early warning unit, and correction of the slope of the abnormal layer through slope cutting operations; If a red command is issued, we will go to the breakwater area in time, lock the danger zone through manual intervention, install drainage pipes in the danger zone, and reinforce the breakwater in the danger zone, including the use of concrete and steel mesh.

10. A method for analyzing the stability of breakwater section layered construction, used to implement a system for analyzing the stability of breakwater section layered construction as claimed in any one of claims 1 to 9, characterized in that: The following steps are included: Step 1: Obtain construction design drawings in advance, draw a three-dimensional embankment model using computer-aided design software, and cut the three-dimensional embankment model to obtain the breakwater section to identify relevant stratification state information of the breakwater section, monitor relevant physical property data information of each layer material based on the relevant stratification state information, and monitor relevant structural data information of the inclined area of ​​the breakwater; Step 2: pre-process the relevant data information obtained in the information acquisition module, remove noise and outliers, and establish a levee stability prediction model in combination with historical data; Step 3: Based on the relevant structural data information, construct the slope instability risk coefficient Bsxs of the corresponding layer, and preliminarily analyze the safety of the breakwater according to the value of the slope instability risk coefficient Bsxs; Step 4: Based on the preliminary analysis results in the preliminary longitudinal analysis module, combined with the relevant physical property data information of each layer of materials, analyze the influence of the differences in each layer of materials on the interface stability to obtain the interface failure coefficient Jsxs of the corresponding layer, and input the interface failure coefficient Jsxs and the slope instability risk coefficient Bsxs into the embankment stability prediction model to fit and obtain the comprehensive stability evaluation index Zpzs(J,B); Step 5: pre-set an evaluation threshold, and compare and analyze it with the comprehensive stability evaluation index Zpzs(J,B) to comprehensively estimate the stability of the breakwater.

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