A method and device for obtaining a target repair scheme based on a prefabricated underground continuous wall
Patent Information
- Application Number
- CN202610845298.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-11
- Publication Date
- 2026-09-29
- Estimated Expiration
- 2046-06-11
AI Technical Summary
[0004]本申请实施例提供一种基于预制地下连续墙的目标修复方案获取方法及装置,以解决上述现有预制地下连续墙的目标修复方案的获取过程繁琐,不利于提高预制地下连续墙的目标修复方案的获取效率的技术问题
[0019]本申请实施例有益效果在于两方面,一方面,通过碳排放模型,获取每个初始修复方案对应的碳成本系数,根据预制地下连续墙的性能函数、每个初始修复方案对应的碳成本系数、预制地下连续墙的开始修复时刻和韧性模型,生成预制地下连续墙采用每个初始修复方案得到的韧性修复分数,对预制地下连续墙采用每个初始修复方案得到的韧性修复分数进行排序,选取韧性修复分数最高的初始修复方案作为预制地下连续墙的目标修复方案,由于无需人工获取预制地下连续墙的目标修复方案,因此减少了预制地下连续墙的目标修复方案的获取时间,有利于预制地下连续墙的目标修复方案的获取效率;另一方面,预制地下连续墙采用初始修复方案得到的韧性修复分数越高,表示预制地下连续墙采用初始修复方案在韧性修复和碳排放这两个方面的性能越强,因此选取韧性修复分数最高的初始修复方案作为预制地下连续墙的目标修复方案,能让目标修复方案同时兼顾安全性与低碳性。
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Abstract
Description
Technical Field
[0001] This application relates to the fields of low-carbon technology and construction technology, and in particular to a method and apparatus for obtaining target repair schemes based on prefabricated underground continuous walls. Background Technology
[0002] As a key load-bearing and enclosure component of prefabricated underground structures, precast diaphragm walls play a crucial role in the overall structural system, bearing important functions such as resisting earth pressure, water pressure, and transmitting superstructure loads. Damage to precast diaphragm walls directly weakens the load-bearing capacity of the prefabricated underground structure. To prevent further damage to precast diaphragm walls and the resulting adverse consequences, it is necessary to obtain a targeted repair solution for them.
[0003] However, the current process for obtaining target repair solutions for precast diaphragm walls is cumbersome, hindering the improvement of efficiency. This is because existing technologies primarily rely on manual methods to acquire these solutions, which consumes significant human and time resources, increasing the acquisition time and making them susceptible to human intervention. Therefore, this approach is detrimental to improving the efficiency of obtaining target repair solutions for precast diaphragm walls. Summary of the Invention
[0004] This application provides a method and apparatus for obtaining target repair schemes based on prefabricated diaphragm walls, in order to solve the technical problem that the existing process for obtaining target repair schemes for prefabricated diaphragm walls is cumbersome and not conducive to improving the efficiency of obtaining target repair schemes for prefabricated diaphragm walls.
[0005] In a first aspect, embodiments of this application provide a method for obtaining a target repair scheme based on a prefabricated diaphragm wall, applied to electronic devices. The method for obtaining a target repair scheme based on a prefabricated diaphragm wall includes: The monitoring data of the precast diaphragm wall is obtained from the monitoring system, and the strain value of the precast diaphragm wall at the current moment is obtained from the monitoring data. Based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment, the strain function of the precast diaphragm wall is obtained. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. When the strain value is greater than the set strain threshold, the cavity ratio of the precast diaphragm wall is generated based on the volume of the solid of the precast diaphragm wall, the volume of the cavity of the precast diaphragm wall, and the cavity model. Based on the cavity ratio and factor model of the precast diaphragm wall, the recovery factor of the precast diaphragm wall is generated. Based on the recovery factor of the precast diaphragm wall, the strain function of the precast diaphragm wall, and the performance model, the performance function of the precast diaphragm wall is obtained. The carbon cost coefficient corresponding to each initial repair scheme is obtained through the carbon emission model. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall.
[0006] In one possible implementation of the first aspect, monitoring data of the precast diaphragm wall is acquired from a monitoring system, and the strain value of the precast diaphragm wall at the current moment is obtained from the monitoring data, including: Access the data log file of the monitoring system, obtain the monitoring data of the precast diaphragm wall from the data log file, and obtain the strain value of the precast diaphragm wall at the current moment from the monitoring data.
[0007] In one possible implementation of the first aspect, the toughness repair scores obtained for each initial repair scheme of the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall, including: Obtain the sorting function from the configuration file, and sort the toughness repair scores of the precast diaphragm wall obtained by each initial repair scheme using the sorting function to obtain the sorting results; The initial repair scheme with the highest toughness repair score was selected from the ranking results as the target repair scheme for the precast diaphragm wall.
[0008] In one possible implementation of the first aspect, the strain model is as follows: ; It is the strain value of the precast diaphragm wall at the current moment; It is the negative strain extreme value, which is the maximum deformation value of the precast underground continuous wall under compression within the detection range; It is the current moment; It is the strain function of the precast diaphragm wall.
[0009] In one possible implementation of the first aspect, the cavity model is as follows: ; It is the volume of the precast diaphragm wall. It is the cavity ratio of the precast diaphragm wall; It is the volume of the cavity in the precast diaphragm wall.
[0010] In one possible implementation of the first aspect, the factor model is as follows: ; It is the recovery factor of the precast diaphragm wall; the larger the recovery factor of the precast diaphragm wall, the stronger its self-recovery ability; the smaller the recovery factor of the precast diaphragm wall, the weaker its self-recovery ability. It is the cavity ratio of the precast diaphragm wall; These are preset correction coefficients, which are obtained through regression analysis of full-scale experimental and finite element simulation data.
[0011] In one possible implementation of the first aspect, the performance model is as follows: ; It is a performance function of precast diaphragm walls; It is the time required for a precast diaphragm wall to fully recover to its initial state after yielding strain. It is an adjustment factor; It is a restoring factor for precast diaphragm walls; It is a performance correction factor.
[0012] In one possible implementation of the first aspect, the carbon emission model is as follows: ; in, It is the first The carbon cost coefficient corresponding to each initial remediation plan; For the first In the initial repair plan, the first step in the manufacturing process... The consumption of various repair materials For the first In the first initial repair plan, the first Carbon emission factors of the remediation materials This represents the total number of material types. For the first The initial repair plan was implemented during the transportation phase. The amount of transportation work completed by a certain type of transportation vehicle. For the first Carbon emission factors of various transportation vehicles This represents the total number of transport vehicle types, where a transport vehicle is a means of transporting repair materials or construction equipment. For the first The initial repair plan was implemented during the construction phase. The consumption of this type of energy, For the first Carbon emission factors of various energy sources The total number of energy types; For the first The initial repair plan was the first in the cleanup phase. The amount of waste generated, For the first Carbon emissions from waste during the treatment process This represents the total number of waste types.
[0013] In one possible implementation of the first aspect, the resilience model is as follows: ; The precast diaphragm wall adopts the first The toughness repair score of each initial repair scheme; The larger the value, the more likely the precast diaphragm wall adopts the [specific type / method]. The stronger the initial repair solution is in terms of both resilience and carbon emissions; The smaller the value, the more likely the precast diaphragm wall adopts the first... The worse the initial repair solution performs in terms of both resilience repair and carbon emissions; It is the current moment; It is a performance function of precast diaphragm walls, used to describe the change of the real-time performance value of precast diaphragm walls with the current moment; This is the moment when the precast diaphragm wall begins repair; It refers to the repair time of precast diaphragm walls; It is the first The carbon cost coefficient corresponding to each initial remediation plan; The larger the value, the smaller the toughness repair score of the precast diaphragm wall; The smaller the value, the greater the toughness repair score of the precast diaphragm wall; It refers to the original performance value of the precast diaphragm wall, which is the performance value of the precast diaphragm wall under intact conditions. It refers to the repair time; It is the cumulative amount of the performance function of the precast diaphragm wall during the repair time; and The product of represents the cumulative amount of the original performance value of the precast diaphragm wall over the repair period.
[0014] In one possible implementation of the first aspect, after sorting the toughness repair scores obtained by each initial repair scheme for the prefabricated diaphragm wall and selecting the initial repair scheme with the highest toughness repair score as the target repair scheme for the prefabricated diaphragm wall, the method further includes: generating a set of toughness values for the prefabricated underground structure based on the toughness evaluation function of the prefabricated underground structure. The toughness evaluation function for prefabricated underground structures is: ; in, These are a set of toughness values for prefabricated underground structures; It is the smallest function; It is the maximum function; It is the number of samples whose values are less than the median; It is the maximum toughness repair score of the first precast underground continuous wall; It is the maximum toughness repair score of the second precast underground continuous wall; It is the first The maximum toughness repair score of a precast underground continuous wall segment.
[0015] Secondly, embodiments of this application provide a target repair scheme acquisition device based on prefabricated diaphragm walls, applied to electronic devices, including: The first acquisition module is used to acquire monitoring data of the precast diaphragm wall from the monitoring system, and to acquire the strain value of the precast diaphragm wall at the current moment from the monitoring data. The second acquisition module is used to obtain the strain function of the precast diaphragm wall based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. The generation module is used to generate the cavity ratio of the precast diaphragm wall based on the volume of the solid and the cavity of the precast diaphragm wall and the cavity model when the strain value is greater than the set strain threshold. Based on the cavity ratio and factor model of the precast diaphragm wall, the recovery factor of the precast diaphragm wall is generated. Based on the recovery factor, strain function and performance model of the precast diaphragm wall, the performance function of the precast diaphragm wall is obtained. The third acquisition module is used to obtain the carbon cost coefficient corresponding to each initial repair scheme through the carbon emission model. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The fourth acquisition module is used to sort the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall, and select the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall.
[0016] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the target repair scheme acquisition method based on prefabricated diaphragm walls described in the first aspect above.
[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the target repair scheme acquisition method based on prefabricated diaphragm walls described in the first aspect above.
[0018] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to execute the target repair scheme acquisition method based on prefabricated diaphragm walls described in the first aspect above.
[0019] The beneficial effects of this application's embodiments are twofold. Firstly, by using a carbon emission model, the carbon cost coefficient corresponding to each initial repair scheme is obtained. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of the precast diaphragm wall's repair, and the toughness model, a toughness repair score is generated for the precast diaphragm wall using each initial repair scheme. The toughness repair scores are then sorted, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall. Since there is no need for manual acquisition of the target repair scheme for the precast diaphragm wall, the acquisition time is reduced, which is beneficial to the efficiency of acquiring the target repair scheme for the precast diaphragm wall. Secondly, the higher the toughness repair score obtained by the precast diaphragm wall using the initial repair scheme, the stronger the performance of the precast diaphragm wall using the initial repair scheme in terms of both toughness repair and carbon emissions. Therefore, selecting the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall allows the target repair scheme to simultaneously take into account safety and low carbon emissions. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 This is an application scenario diagram of the target repair scheme acquisition method based on prefabricated diaphragm walls provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the method for obtaining a target repair solution based on a prefabricated diaphragm wall, as provided in an embodiment of this application. Figure 3 Example diagram of a prefabricated diaphragm wall provided for embodiments of this application; Figure 4 A schematic block diagram of a target repair scheme acquisition device based on prefabricated diaphragm walls provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.
[0023] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0024] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.
[0025] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.
[0026] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."
[0027] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0028] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.
[0029] Furthermore, the technical solutions of the various embodiments can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed in this application.
[0030] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.
[0031] The method for obtaining target repair schemes based on prefabricated underground continuous walls provided in this application embodiment can be applied to electronic devices such as servers, mobile phones, tablets, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptops, super mobile personal computers, and netbooks. This application embodiment does not impose any restrictions on the specific type of electronic device.
[0032] Please see Figure 1 , Figure 1 The application scenario diagram of the target repair scheme acquisition method based on prefabricated diaphragm walls provided in the embodiments of this application is described in detail below: The electronic equipment acquires monitoring data of the precast diaphragm wall from the monitoring system, and obtains the strain value of the precast diaphragm wall at the current moment from the monitoring data.
[0033] In this embodiment of the application, obtaining the strain value of the precast underground continuous wall at the current moment can help detect potential safety hazards in advance.
[0034] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for obtaining a target repair scheme based on a prefabricated diaphragm wall, provided in an embodiment of this application. This method can be applied to electronic devices.
[0035] like Figure 2 As shown in the figure, the method for obtaining a target repair scheme based on a prefabricated diaphragm wall provided in this application includes the following steps, which are detailed below: S201, Obtain monitoring data of the precast diaphragm wall from the monitoring system, and obtain the strain value of the precast diaphragm wall at the current moment from the monitoring data; Among them, precast underground continuous wall is a continuous underground wall structure formed by using reinforced concrete or prestressed concrete wall panels produced by factory prefabrication process, which are transported to the construction site and hoisted into a pre-excavated deep trench, and then solidified and spliced using cement grout or self-hardening materials.
[0036] Precast diaphragm walls can be used in underground stations. For ease of explanation, an example is given below: Precast diaphragm walls serve as temporary support structures for foundation pits during the construction phase. They are quickly assembled from standardized precast components to form a retaining and water-stopping barrier, ensuring excavation safety. Once the main structure is completed, only a waterproof coating and decorative surface treatment are needed on the outside of the wall to directly transform it into the enclosure structure of a subway station.
[0037] This includes acquiring monitoring data of the precast diaphragm wall from the monitoring system, and obtaining the strain value of the precast diaphragm wall at the current moment from the monitoring data, including: Access the data log file of the monitoring system, obtain the monitoring data of the precast diaphragm wall from the data log file, and obtain the strain value of the precast diaphragm wall at the current moment from the monitoring data.
[0038] S202. Based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment, the strain function of the precast diaphragm wall is obtained. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. The strain model is as follows: ; It is the strain value of the precast diaphragm wall at the current moment; It is the negative strain extreme value, which is the maximum deformation value of the precast underground continuous wall under compression within the detection range; It is the current moment; It is the strain function of the precast diaphragm wall.
[0039] S203, when the strain value is greater than the set strain threshold, the cavity ratio of the precast diaphragm wall is generated based on the volume of the solid of the precast diaphragm wall, the volume of the cavity of the precast diaphragm wall, and the cavity model. The recovery factor of the precast diaphragm wall is generated based on the cavity ratio and factor model of the precast diaphragm wall. The performance function of the precast diaphragm wall is obtained based on the recovery factor, the strain function and performance model of the precast diaphragm wall. The cavity model is as follows: ; It is the volume of the precast diaphragm wall. It is the cavity ratio of the precast diaphragm wall; It is the volume of the cavity in the precast diaphragm wall.
[0040] Please see Figure 3 , Figure 3 Example diagrams of prefabricated diaphragm walls provided for embodiments of this application are detailed below: Figure 3 The solid structure of the precast diaphragm wall and the cavity of the precast diaphragm wall are shown.
[0041] Precast diaphragm walls consist of both solid and hollow components. The solid portion is the core load-bearing component of the precast diaphragm wall, typically constructed from high-strength concrete and internally reinforced with steel bars. With its high strength and rigidity, it bears the heavy responsibility of resisting pressure from the surrounding soil, water pressure, and various loads transmitted from the superstructure, providing reliable support and enclosure for the precast underground structure and ensuring its stability and safety in complex environments.
[0042] The cavity is the internal space reserved during the design and manufacturing process of the precast underground continuous wall. The cavity can be flexibly utilized according to actual engineering needs, such as for laying various pipelines to meet the functional requirements of underground facilities such as power supply, communication, water supply and drainage.
[0043] The factor model is as follows: ; It is the recovery factor of the precast diaphragm wall; the larger the recovery factor of the precast diaphragm wall, the stronger its self-recovery ability; the smaller the recovery factor of the precast diaphragm wall, the weaker its self-recovery ability. It is the cavity ratio of the precast diaphragm wall; These are preset correction coefficients, which are obtained through regression analysis of full-scale experimental and finite element simulation data.
[0044] S204. Through the carbon emission model, the carbon cost coefficient corresponding to each initial repair scheme is obtained. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The performance model is as follows: ; It is a performance function of precast diaphragm walls; It is the time required for a precast diaphragm wall to fully recover to its initial state after yielding strain. It is an adjustment factor; It is a restoring factor for precast diaphragm walls; It is a performance correction factor.
[0045] in, ; It is a correction factor; These are the state values of the precast diaphragm wall during its application stage; This indicates that the application stage of precast diaphragm walls is the retaining wall stage. This indicates that the application stage of precast underground continuous walls is the operational wall stage.
[0046] The retaining wall stage is a temporary support stage during the construction period, providing a safe and stable working environment for the excavation of the foundation pit and the construction of the underground structure. During the temporary support stage, the precast underground continuous wall only needs to meet the short-term temporary load-bearing and seepage prevention requirements, without having to take into account the long-term performance.
[0047] The operational wall phase is a permanent phase in the project cycle. During this phase, the precast diaphragm wall needs to bear loads, provide waterproofing, and divide space for an extended period. Therefore, it must meet stringent requirements for long-term load-bearing stability, durability, and permanent waterproofing to ensure the long-term safe operation of the building.
[0048] S205, sort the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall, and select the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall.
[0049] Among them, the worse the toughness repair score obtained by the initial repair scheme for the precast diaphragm wall, the weaker the performance of the initial repair scheme in terms of both toughness repair and carbon emissions. Conversely, the higher the toughness repair score obtained by the initial repair scheme, the stronger the performance of the initial repair scheme in terms of both toughness repair and carbon emissions. Therefore, the initial repair scheme with the highest toughness repair score was selected as the target repair scheme for the precast diaphragm wall. The target remediation plan achieves a balance between safety and low carbon emissions by reducing carbon emissions and resource consumption and lowering environmental governance costs.
[0050] Among them, the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall, including: Obtain the sorting function from the configuration file, and sort the toughness repair scores of the precast diaphragm wall obtained by each initial repair scheme using the sorting function to obtain the sorting results; The initial repair scheme with the highest toughness repair score was selected from the ranking results as the target repair scheme for the precast diaphragm wall.
[0051] The carbon emission model is shown below: ; in, It is the first The carbon cost coefficient corresponding to each initial remediation plan; For the first In the initial repair plan, the first step in the manufacturing process... The consumption of various repair materials For the first In the first initial repair plan, the first Carbon emission factors of the remediation materials This represents the total number of material types. For the first The initial repair plan was implemented during the transportation phase. The amount of transportation work completed by a certain type of transportation vehicle. For the first Carbon emission factors of various transportation vehicles This represents the total number of transport vehicle types, where a transport vehicle is a means of transporting repair materials or construction equipment. For the first The initial repair plan was implemented during the construction phase. The consumption of this type of energy, For the first Carbon emission factors of various energy sources The total number of energy types; For the first The initial repair plan was the first in the cleanup phase. The amount of waste generated, For the first Carbon emissions from waste during the treatment process This represents the total number of waste types.
[0052] In one possible implementation of the first aspect, the resilience model is as follows: ; The precast diaphragm wall adopts the first The toughness repair score of each initial repair scheme; The larger the value, the more likely the precast diaphragm wall adopts the [specific type / method]. The stronger the initial repair solution is in terms of both resilience and carbon emissions; The smaller the value, the more likely the precast diaphragm wall adopts the first... The worse the initial repair solution performs in terms of both resilience repair and carbon emissions; It is the current moment; It is a performance function of precast diaphragm walls, used to describe the change of the real-time performance value of precast diaphragm walls with the current moment; This is the moment when the precast diaphragm wall begins repair; It refers to the repair time of precast diaphragm walls; It is the first The carbon cost coefficient corresponding to each initial remediation plan; The larger the value, the smaller the toughness repair score of the precast diaphragm wall; The smaller the value, the greater the toughness repair score of the precast diaphragm wall; It refers to the original performance value of the precast diaphragm wall, which is the performance value of the precast diaphragm wall under intact conditions. It refers to the repair time; It is the cumulative amount of the performance function of the precast diaphragm wall during the repair time; and The product of represents the cumulative amount of the original performance value of the precast diaphragm wall over the repair period.
[0053] The method for obtaining the target repair solution in this application can be applied to the monitoring system of underground stations. For ease of explanation, an example is given below: The monitoring system of the underground station adopts the target repair scheme acquisition method of this application to acquire monitoring data. The monitoring data shows that the strain value of the precast diaphragm wall rises sharply at the current moment. When the strain value exceeds the set strain threshold, the monitoring system acquires multiple different initial repair schemes from the strategy library. Through the carbon emission model, the carbon cost coefficient corresponding to each initial repair scheme is obtained. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start repair time of the precast diaphragm wall, and the toughness model, a toughness repair score is generated for the precast diaphragm wall using each initial repair scheme. The toughness repair scores of the precast diaphragm wall using each initial repair scheme are sorted, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall.
[0054] The construction team viewed a report containing precise damage location and target repair plan through the monitoring system's human-machine interface. Based on this report, the construction team responded quickly and completed the repair of the precast diaphragm wall within the specified time.
[0055] in, To evaluate the resilience of a single precast diaphragm wall, a prefabricated underground structure composed of multiple precast diaphragm wall segments contains hundreds or even thousands of sensors, generating massive amounts of real-time monitoring data. Performing detailed resilience calculations for every single data point throughout the entire process would incur a huge computational burden, and a large amount of irrelevant data would obscure truly critical risk information, leading to inefficient assessments and delayed early warnings. To address this challenge, a resilience assessment function for prefabricated underground structures is proposed.
[0056] Following S205, the target remediation plan also includes: Based on the toughness evaluation function of prefabricated underground structures, a set of toughness values for prefabricated underground structures are generated.
[0057] The toughness evaluation function for prefabricated underground structures is: ; in, These are a set of toughness values for prefabricated underground structures; It is the smallest function; It is the maximum function; It is the number of samples whose values are less than the median; It is the maximum toughness repair score of the first precast underground continuous wall; It is the maximum toughness repair score of the second precast underground continuous wall; It is the first The maximum toughness repair score of a precast underground continuous wall segment.
[0058] Specifically, the toughness repair scores of each initial repair scheme for the first precast diaphragm wall were sorted, and the maximum toughness repair score of the first precast diaphragm wall for each initial repair scheme was selected as the maximum toughness repair score of the first precast diaphragm wall.
[0059] Among them, the toughness repair scores of each initial repair scheme for the second precast diaphragm wall were sorted, and the maximum toughness repair score of the second precast diaphragm wall for each initial repair scheme was selected as the maximum toughness repair score of the second precast diaphragm wall.
[0060] Among them, for the first The precast diaphragm wall sections were ranked based on the toughness repair score of each initial repair scheme, and the first-ranked section was selected. For precast diaphragm walls, the maximum toughness repair score among each initial repair scheme is used as the first repair score. The maximum toughness repair score of a precast underground continuous wall segment.
[0061] Specifically, the toughness repair score of each precast diaphragm wall segment using each initial repair scheme is obtained, and the maximum value among the toughness repair scores of each precast diaphragm wall segment using each initial repair scheme is selected as the maximum toughness repair score of each precast diaphragm wall segment. Based on the maximum toughness repair score of each precast diaphragm wall segment and the toughness evaluation function of the precast underground structure, a set of toughness values of the precast underground structure is generated.
[0062] Among them, the toughness assessment function for prefabricated underground structures will After performing exponential calculations, a set of toughness values for the prefabricated underground structure will be obtained.
[0063] For ease of explanation, the following example is provided: for example, The values are: 0.7, 0.8, 0.9; Samples with a value less than 0.95 were selected: 0.7, 0.8, and 0.9.
[0064] Calculate the median of these samples: after arranging the data from smallest to largest, the middle number is 0.8.
[0065] The number of samples with a statistical value less than 0.8 is only 0.7. Therefore, at this time... It is 1.
[0066] It is in array form, at this time, =[0.75,0.83,0.92] The maximum value of 0.92 indicates that the prefabricated underground structure has strong resistance to damage, collapse, and post-earthquake recovery, effectively preventing overall structural failure. The minimum value of 0.75 identifies the first prefabricated diaphragm wall as a weak component. The advanced nature and low-carbon characteristics of the toughness assessment function for prefabricated underground structures are reflected in the following three aspects: 1. The toughness assessment function for prefabricated underground structures does not simply average all monitoring data. Instead, it intelligently focuses on critical areas where performance degradation and low toughness values occur first. Through algorithms, it automatically filters out a large amount of monitoring data that is in an elastic, undamaged state, significantly reducing data processing volume and computational energy consumption. This achieves energy conservation and enables the system to perform real-time assessments on ordinary servers, meeting the practical needs of engineering sites.
[0067] 2. The toughness assessment function for prefabricated underground structures possesses an intelligent risk amplification effect, accurately identifying weak points in the structural system. When only a single area experiences a slight decrease in toughness, the overall toughness degradation is not significant, and the system determines that the problem can be resolved through precise local repairs, avoiding excessive intervention. When the toughness of a single area decreases severely, the overall toughness will rapidly degrade, issuing a strong warning that the damage at that location may trigger continuous failure, requiring immediate targeted reinforcement measures. When multiple areas experience simultaneous toughness degradation, the overall toughness will be significantly lower than the minimum value among all values. This uneven decline accurately reflects the overall risk faced by the structural system due to multiple damage points, necessitating the initiation of a systematic reinforcement plan.
[0068] 3. The toughness assessment function of prefabricated underground structures can identify weak components as key maintenance targets, thereby minimizing the huge material waste, energy consumption and construction waste caused by preventive over-strengthening, and achieving carbon emission reduction from the source.
[0069] The beneficial effects of this application's embodiments are twofold. Firstly, by using a carbon emission model, the carbon cost coefficient corresponding to each initial repair scheme is obtained. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of the precast diaphragm wall's repair, and the toughness model, a toughness repair score is generated for the precast diaphragm wall using each initial repair scheme. The toughness repair scores are then sorted, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall. Since there is no need for manual acquisition of the target repair scheme for the precast diaphragm wall, the acquisition time is reduced, which is beneficial to the efficiency of acquiring the target repair scheme for the precast diaphragm wall. Secondly, the higher the toughness repair score obtained by the precast diaphragm wall using the initial repair scheme, the stronger the performance of the precast diaphragm wall using the initial repair scheme in terms of both toughness repair and carbon emissions. Therefore, selecting the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall allows the target repair scheme to simultaneously take into account safety and low carbon emissions.
[0070] For the method of obtaining the target repair scheme based on prefabricated diaphragm walls described in the above embodiments, please refer to [link / reference]. Figure 4 , Figure 4 This is a schematic block diagram of a target repair scheme acquisition device based on prefabricated diaphragm walls provided in an embodiment of this application. Figure 4 The target repair scheme acquisition device 400 based on prefabricated diaphragm walls shown can be applied to, for example... Figure 1 The application scenario diagram shows electronic devices. The following section uses electronic devices as an example to illustrate this. Figure 4 The target repair scheme acquisition device 400 based on prefabricated diaphragm wall is described in detail. The target repair scheme acquisition device 400 based on prefabricated diaphragm wall may include a first acquisition module 401, a second acquisition module 402, a generation module 403, a third acquisition module 404, and a fourth acquisition module 405.
[0071] The first acquisition module 401 is used to acquire monitoring data of the precast diaphragm wall from the monitoring system, and to acquire the strain value of the precast diaphragm wall at the current moment from the monitoring data. The second acquisition module 402 is used to obtain the strain function of the precast diaphragm wall based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. The generation module 403 is used to generate the cavity ratio of the precast diaphragm wall based on the volume of the solid of the precast diaphragm wall, the volume of the cavity of the precast diaphragm wall, and the cavity model when the strain value is greater than the set strain threshold; generate the recovery factor of the precast diaphragm wall based on the cavity ratio and factor model of the precast diaphragm wall; and obtain the performance function of the precast diaphragm wall based on the recovery factor, the strain function and the performance model of the precast diaphragm wall. The third acquisition module 404 is used to obtain the carbon cost coefficient corresponding to each initial repair scheme through the carbon emission model, and generate the toughness repair score of the precast diaphragm wall using each initial repair scheme based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start repair time of the precast diaphragm wall and the toughness model. The fourth acquisition module 405 is used to sort the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall, and select the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall.
[0072] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0073] The beneficial effects of this application's embodiments are twofold. Firstly, by using a carbon emission model, the carbon cost coefficient corresponding to each initial repair scheme is obtained. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of the precast diaphragm wall's repair, and the toughness model, a toughness repair score is generated for the precast diaphragm wall using each initial repair scheme. The toughness repair scores are then sorted, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall. Since there is no need for manual acquisition of the target repair scheme for the precast diaphragm wall, the acquisition time is reduced, which is beneficial to the efficiency of acquiring the target repair scheme for the precast diaphragm wall. Secondly, the higher the toughness repair score obtained by the precast diaphragm wall using the initial repair scheme, the stronger the performance of the precast diaphragm wall using the initial repair scheme in terms of both toughness repair and carbon emissions. Therefore, selecting the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall allows the target repair scheme to simultaneously take into account safety and low carbon emissions.
[0074] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.
[0075] like Figure 5 As shown, Figure 5 The electronic device 2 includes: at least one processor 20, a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20, wherein the processor 20 executes the computer program 22 to implement the steps in any of the above method embodiments.
[0076] The electronic device 2 may include, but is not limited to, a processor 20 and a memory 21. Those skilled in the art will understand that... Figure 5 This is merely an example of electronic device 2 and does not constitute a limitation on electronic device 2. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, etc.
[0077] The processor 20 is used to run a computer program 22 stored in the memory 21, and performs the following steps when executing the computer program 22: The monitoring data of the precast diaphragm wall is obtained from the monitoring system, and the strain value of the precast diaphragm wall at the current moment is obtained from the monitoring data. Based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment, the strain function of the precast diaphragm wall is obtained. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. When the strain value is greater than the set strain threshold, the cavity ratio of the precast diaphragm wall is generated based on the volume of the solid of the precast diaphragm wall, the volume of the cavity of the precast diaphragm wall, and the cavity model. Based on the cavity ratio and factor model of the precast diaphragm wall, the recovery factor of the precast diaphragm wall is generated. Based on the recovery factor of the precast diaphragm wall, the strain function of the precast diaphragm wall, and the performance model, the performance function of the precast diaphragm wall is obtained. The carbon cost coefficient corresponding to each initial repair scheme is obtained through the carbon emission model. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall.
[0078] In some embodiments, the memory 21 may be an internal storage unit of the electronic device 2, such as a hard disk or memory of the electronic device 2. In other embodiments, the memory 21 may be an external storage device of the electronic device 2, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 2. Furthermore, the memory 21 may include both internal and external storage units of the electronic device 2. The memory 21 is used to store the operating system, applications, boot loader, data, and other programs, such as the program code of the computer program. The memory 21 can also be used to temporarily store data that has been output or will be output.
[0079] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0080] This application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.
[0081] This application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the above-described method for obtaining a target repair scheme based on a prefabricated underground continuous wall.
[0082] Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium includes: an entity or device for carrying computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium.
[0083] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0084] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.
Claims
1. A method for obtaining a target repair scheme based on prefabricated diaphragm walls, characterized in that, The method for obtaining a target repair scheme based on prefabricated diaphragm walls, applicable to electronic devices, includes: The monitoring data of the precast diaphragm wall is obtained from the monitoring system, and the strain value of the precast diaphragm wall at the current moment is obtained from the monitoring data. Based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment, the strain function of the precast diaphragm wall is obtained. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. When the strain value is greater than the set strain threshold, the cavity ratio of the precast diaphragm wall is generated based on the volume of the solid of the precast diaphragm wall, the volume of the cavity of the precast diaphragm wall, and the cavity model. Based on the cavity ratio and factor model of the precast diaphragm wall, the recovery factor of the precast diaphragm wall is generated. Based on the recovery factor of the precast diaphragm wall, the strain function of the precast diaphragm wall, and the performance model, the performance function of the precast diaphragm wall is obtained. The carbon cost coefficient corresponding to each initial repair scheme is obtained through the carbon emission model. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall. The resilience model is as follows: ; The precast diaphragm wall adopts the first The toughness repair score of each initial repair scheme; The larger the value, the more likely the precast diaphragm wall adopts the [specific type / method]. The stronger the initial repair solution is in terms of both resilience and carbon emissions; The smaller the value, the more likely the precast diaphragm wall adopts the first... The worse the initial repair solution performs in terms of both resilience repair and carbon emissions; It refers to the current moment; It is a performance function of precast diaphragm walls, used to describe the change of the real-time performance value of precast diaphragm walls with the current moment; This is the moment when the precast diaphragm wall begins repair; It refers to the repair time of precast diaphragm walls; It is the first The carbon cost coefficient corresponding to each initial remediation plan; The larger the value, the smaller the toughness repair score of the precast diaphragm wall; The smaller the value, the greater the toughness repair score of the precast diaphragm wall; It refers to the original performance value of the precast diaphragm wall, which is the performance value of the precast diaphragm wall under intact conditions.
2. The method for obtaining a target repair scheme based on prefabricated diaphragm walls according to claim 1, characterized in that, The toughness repair scores obtained for each initial repair scheme of the precast diaphragm wall are ranked, and the initial repair scheme with the highest toughness repair score is selected as the target repair scheme for the precast diaphragm wall, including: Obtain the sorting function from the configuration file, and sort the toughness repair scores of the precast diaphragm wall obtained by each initial repair scheme using the sorting function to obtain the sorting results; The initial repair scheme with the highest toughness repair score was selected from the ranking results as the target repair scheme for the precast diaphragm wall.
3. The method for obtaining a target repair scheme based on a prefabricated diaphragm wall according to claim 1, characterized in that, The strain model is as follows: ; It is the strain value of the precast diaphragm wall at the current moment; It is the negative strain extreme value, which is the maximum deformation value of the precast underground continuous wall under compression within the detection range; It refers to the current moment; It is the strain function of the precast diaphragm wall.
4. The method for obtaining a target repair scheme based on a prefabricated diaphragm wall according to claim 1, characterized in that, The cavity model is as follows: ; It is the volume of the precast diaphragm wall. It is the cavity ratio of the precast diaphragm wall; It is the volume of the cavity in the precast diaphragm wall.
5. The method for obtaining a target repair scheme based on prefabricated diaphragm walls according to claim 1, characterized in that, The factor model is as follows: ; It is the recovery factor of the precast diaphragm wall; the larger the recovery factor of the precast diaphragm wall, the stronger its self-recovery ability; the smaller the recovery factor of the precast diaphragm wall, the weaker its self-recovery ability. It is the cavity ratio of the precast diaphragm wall; These are preset correction coefficients, which are obtained through regression analysis of full-scale experimental and finite element simulation data.
6. The method for obtaining a target repair scheme based on a prefabricated diaphragm wall according to claim 1, characterized in that, The performance model is as follows: ; It is a performance function of precast diaphragm walls; It refers to the current moment; It is the time required for a precast diaphragm wall to fully recover to its initial state after yielding strain. It is an adjustment factor; It is the strain function of the precast diaphragm wall; It is a restoring factor for precast diaphragm walls; It is a performance correction factor.
7. The method for obtaining a target repair scheme based on a prefabricated diaphragm wall according to claim 1, characterized in that, The carbon emission model is shown below: ; in, It is the first The carbon cost coefficient corresponding to each initial remediation plan; For the first In the initial repair plan, the first step in the manufacturing process... The consumption of various repair materials For the first In the first initial repair plan, the first Carbon emission factors of the remediation materials This represents the total number of material types. For the first The initial repair plan was implemented during the transportation phase. The amount of transportation work completed by each type of transportation vehicle. For the first Carbon emission factors of various transportation vehicles This represents the total number of transport vehicle types, where a transport vehicle is a means of transporting repair materials or construction equipment. For the first The initial repair plan was implemented during the construction phase. The consumption of this type of energy, For the first Carbon emission factors of various energy sources The total number of energy types; For the first The initial repair plan was the first in the cleanup phase. The amount of waste generated, For the first Carbon emissions from waste during the treatment process This represents the total number of waste types.
8. The method for obtaining a target repair scheme based on prefabricated diaphragm walls according to claim 1, characterized in that, After ranking the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall and selecting the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall, the method further includes: Based on the toughness evaluation function of prefabricated underground structures, a set of toughness values for prefabricated underground structures are generated. The toughness evaluation function for prefabricated underground structures is: ; in, These are a set of toughness values for prefabricated underground structures; It is the smallest function; It is the maximum function; It is the number of samples whose values are less than the median; It is the maximum toughness repair score of the first precast underground continuous wall; It is the maximum toughness repair score of the second precast underground continuous wall; It is the first The maximum toughness repair score of a precast underground continuous wall segment.
9. A device for obtaining target repair schemes based on prefabricated diaphragm walls, characterized in that, Applied to electronic devices, including: The first acquisition module is used to acquire monitoring data of the precast diaphragm wall from the monitoring system, and to acquire the strain value of the precast diaphragm wall at the current moment from the monitoring data. The second acquisition module is used to obtain the strain function of the precast diaphragm wall based on the strain value, negative strain extreme value and strain model of the precast diaphragm wall at the current moment. The negative strain extreme value is the maximum deformation value of the precast diaphragm wall under compression within the detection range. The generation module is used to generate the cavity ratio of the precast diaphragm wall based on the volume of the solid and the cavity of the precast diaphragm wall and the cavity model when the strain value is greater than the set strain threshold. Based on the cavity ratio and factor model of the precast diaphragm wall, the recovery factor of the precast diaphragm wall is generated. Based on the recovery factor, strain function and performance model of the precast diaphragm wall, the performance function of the precast diaphragm wall is obtained. The third acquisition module is used to obtain the carbon cost coefficient corresponding to each initial repair scheme through the carbon emission model. Based on the performance function of the precast diaphragm wall, the carbon cost coefficient corresponding to each initial repair scheme, the start time of repair of the precast diaphragm wall and the toughness model, the toughness repair score of the precast diaphragm wall using each initial repair scheme is generated. The fourth acquisition module is used to sort the toughness repair scores obtained by each initial repair scheme for the precast diaphragm wall, and select the initial repair scheme with the highest toughness repair score as the target repair scheme for the precast diaphragm wall. The resilience model is as follows: ; The precast diaphragm wall adopts the first The toughness repair score of each initial repair scheme; The larger the value, the more likely the precast diaphragm wall adopts the [specific type / method]. The stronger the initial repair solution is in terms of both resilience and carbon emissions; The smaller the value, the more likely the precast diaphragm wall adopts the first... The worse the initial repair solution performs in terms of both resilience repair and carbon emissions; It refers to the current moment; It is a performance function of precast diaphragm walls, used to describe the change of the real-time performance value of precast diaphragm walls with the current moment; This is the moment when the precast diaphragm wall begins repair; It refers to the repair time of precast diaphragm walls; It is the first The carbon cost coefficient corresponding to each initial remediation plan; The larger the value, the smaller the toughness repair score of the precast diaphragm wall; The smaller the value, the greater the toughness repair score of the precast diaphragm wall; It refers to the original performance value of the precast diaphragm wall, which is the performance value of the precast diaphragm wall under intact conditions.
Citation Information
Patent Citations
Repair scheme evaluation method, device and equipment based on fabricated structure nodes
CN120996384A