Method, device and equipment for evaluating repair scheme based on assembled structure node

Abstract

The application relates to the fields of green low-carbon technology and intelligent construction technology, and discloses a repair scheme evaluation method, device and equipment based on a fabricated structure node, which comprises the following steps: when a health value is in a preset damage interval, a repair scheme of the fabricated structure node is acquired, a toughness value of the fabricated structure node after the repair scheme is implemented is generated through a repair start time, a repair completion time and a toughness value model; when the toughness value is greater than a preset threshold value, a repair cost corresponding to the repair scheme is acquired from a cost database, a total construction period corresponding to the repair scheme is acquired from a construction period database, a total carbon emission of the repair scheme is generated through a carbon emission model, the toughness value, the repair cost, the total construction period, the total carbon emission and a comprehensive evaluation value are written into an evaluation template, and an evaluation report of the repair scheme is generated. The application is beneficial to improving the evaluation efficiency of the repair scheme of the fabricated structure node.

Description

Technical Field

[0001] This application relates to the fields of green and low-carbon technology and intelligent construction technology, and in particular to the evaluation method, apparatus and equipment for repair schemes based on prefabricated structural nodes. Background Technology

[0002] Under the combined effects of complex geological environments and multiple hazards, prefabricated structural nodes face a high risk of damage. Damage to these nodes directly weakens the overall structure's load-bearing capacity and stability. To prevent further damage and adverse consequences, repair plans for prefabricated structural nodes need to be developed. Evaluating these repair plans verifies their feasibility.

[0003] However, the evaluation process for existing repair schemes of prefabricated structural nodes is cumbersome and cannot generate evaluation reports, which hinders the improvement of evaluation efficiency. This is because the existing evaluation process for repair schemes of prefabricated structural nodes relies on manual assessment, which is not only time-consuming and requires a large investment of human resources, but also susceptible to subjective influences, making it difficult to guarantee the accuracy and consistency of the evaluation. Therefore, it is detrimental to improving the efficiency of repair scheme evaluation. Summary of the Invention

[0004] This application provides a method, apparatus, and equipment for evaluating repair schemes based on prefabricated structural nodes, in order to solve the technical problem that the evaluation process of existing prefabricated structural node repair schemes is cumbersome, unable to generate evaluation reports for repair schemes, and thus not conducive to improving the evaluation efficiency of repair schemes.

[0005] In a first aspect, embodiments of this application provide a repair scheme evaluation method based on prefabricated structural nodes, applied to electronic devices. The repair scheme evaluation method based on prefabricated structural nodes includes:

[0006] The monitoring data of the prefabricated structural node is obtained. The initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor are obtained from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, the temperature strain value is generated. The actual strain value is obtained by subtracting the temperature strain value from the initial strain value. The prefabricated structural node is the connection node formed by splicing different prefabricated components in the prefabricated structure.

[0007] When the actual strain value is greater than the preset strain value, the bending moment value of the prefabricated structure node at the position coordinate is generated based on the temperature change, position coordinates and bending moment model.

[0008] Based on the bending moment value of the prefabricated structure node at its location coordinates and the health model, generate the health value of the prefabricated structure node at its location coordinates.

[0009] When the health value is within the preset damage range, the repair plan for the prefabricated structural node is obtained, the simulation data of the repair plan is obtained, the repair start time and repair completion time are obtained from the simulation data, and the toughness value of the prefabricated structural node after the repair plan is implemented is generated by using the repair start time, repair completion time and toughness value model.

[0010] When the toughness value exceeds a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, and the total carbon emissions of the repair plan are generated through the carbon emission model. The assessment values ​​of toughness, repair cost, total construction period, and total carbon emissions are added together to generate a comprehensive assessment value of the repair plan. The toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value are written into the assessment template to generate an assessment report of the repair plan.

[0011] In one possible implementation of the first aspect, when the health value is within a preset damage range, a repair plan for the prefabricated structural node is obtained, simulation data of the repair plan is obtained, the repair start time and repair completion time are obtained from the simulation data, and the toughness value of the prefabricated structural node after the repair plan is implemented is generated using the repair start time, repair completion time, and toughness value model, including:

[0012] The repair plan and the model of the prefabricated structural node are imported into the simulation platform. In the simulation platform, the model of the prefabricated structural node is simulated according to the parameters in the repair plan to obtain the simulation data of the repair plan. The health value of the prefabricated structural node at each time point is obtained from the simulation data.

[0013] By using the repair start time, repair completion time, and toughness value model, the toughness value of the prefabricated structure node after the repair scheme is implemented is generated.

[0014] In one possible implementation of the first aspect, when the toughness value is greater than a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, the total carbon emissions of the repair plan are generated through a carbon emission model, the assessed values ​​of the toughness value, repair cost, total construction period, and total carbon emissions are added together to generate a comprehensive assessment value of the repair plan, and the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value are written into an assessment template to generate an assessment report of the repair plan, including:

[0015] When the toughness value is greater than the preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, and the total carbon emission of the repair plan is generated through the carbon emission model.

[0016] Obtain the toughness range in which the toughness value falls, and select the score corresponding to the toughness range as the evaluation value of the toughness value. Obtain the cost range in which the repair cost falls, and select the score corresponding to the cost range as the evaluation value of the total construction period. Obtain the construction period range in which the total construction period falls, and select the score corresponding to the construction period range as the evaluation value of the total construction period. Obtain the numerical range in which the total carbon emissions fall, and select the score corresponding to the numerical range as the evaluation value of the total construction period. Add the evaluation values ​​of the toughness value, the repair cost, the total construction period, and the total carbon emissions to generate a comprehensive evaluation value of the repair plan.

[0017] Obtain the assessment template of the repair plan, call the write function, and write the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

[0018] In one possible implementation of the first aspect, the strain model is as follows:

[0019] ;

[0020] in, It is the temperature strain value; It is the temperature sensitivity coefficient; It is the temperature change measured by the temperature sensor; It is the strain sensitivity coefficient.

[0021] In one possible implementation of the first aspect, the bending moment model is:

[0022] ;

[0023] ;

[0024] ;

[0025] It is the equivalent elastic modulus of the prefabricated structural node;

[0026] It is the elastic modulus of concrete. It is the elastic modulus of the reinforcing steel.

[0027] It is the cross-sectional area of ​​the concrete. It is the cross-sectional area of ​​the reinforcing steel.

[0028] It is the moment of inertia of the nodes in the prefabricated structure; It is the cross-sectional width of the prefabricated structural node;

[0029] It is the cross-sectional height of the prefabricated structural node; It is the inclination angle of the tenon bevel in the prefabricated structure node;

[0030] These are position coordinates, which refer to coordinates in the horizontal direction.

[0031] It represents the bending moment value at the location coordinates of the prefabricated structure node. It is the stress on the outer side of the prefabricated structure node at its location coordinates; It is the stress on the inside of the node of the prefabricated structure at the location coordinate.

[0032] In one possible implementation of the first aspect, the health model is as follows:

[0033] ;

[0034] in, It is the health value of the prefabricated structure node at its location coordinates; It is the bending moment bearing capacity of the upper part of the prefabricated structure node. It is the bending moment bearing capacity at the lower part of the prefabricated structure node; It is the bending moment value of the reinforcing steel. It is the bending moment value of the node in the prefabricated structure at its location coordinates.

[0035] In one possible implementation of the first aspect, the resilience model is as follows:

[0036] ;

[0037] in, It is the toughness value of the prefabricated structural node after the repair plan is implemented. It is the position coordinate of the prefabricated structure node. Health value at any time This is the repair start time; This is the repair completion time. It is the health value of the prefabricated structure node at the initial moment of its position coordinates.

[0038] In one possible implementation of the first aspect, the carbon emission models include an additive model, a first model, a second model, and a third model:

[0039] The addition model is as follows:

[0040] ;

[0041] It represents the total carbon emissions of the remediation plan; It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan; It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan; It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase; It is the first weighting coefficient. It is the second weighting coefficient. It is the third weighting coefficient;

[0042] The first model is:

[0043] ;

[0044] It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan;

[0045] It is the first in the repair plan Consumption of various repair materials;

[0046] It is the first in the repair plan Carbon emission factors of the remediation materials;

[0047] It is the first The number of machine shifts used to produce various repair materials;

[0048] This represents the total number of types of repair materials.

[0049] It is the first in the repair plan The energy consumed by the machinery used to produce a type of repair material in one shift;

[0050] It is the first in the repair plan Carbon emission factors of machinery used in the production of repair materials;

[0051] The second model is:

[0052] ;

[0053] It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan;

[0054] It is the first in the repair plan Consumption of various repair materials;

[0055] It is the first in the repair plan The transportation distance of the repair materials;

[0056] It is the first in the repair plan Carbon emission factors of vehicles transporting repair materials;

[0057] The third model is:

[0058] ;

[0059] It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase;

[0060] It is the first in the repair plan The number of shifts of construction machinery used for various repair materials;

[0061] It is the first in the repair plan The energy consumed by construction machinery for various repair materials within one shift;

[0062] It is the first in the repair plan Carbon emission factors of construction machinery used for repairing materials.

[0063] Secondly, embodiments of this application provide a repair scheme evaluation device based on prefabricated structural nodes, applied to electronic devices, including:

[0064] The acquisition module is used to acquire monitoring data of prefabricated structural nodes. It obtains the initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, it generates temperature strain value. The actual strain value is obtained by subtracting the temperature strain value from the initial strain value. The prefabricated structural node is the connection node formed by splicing different prefabricated components in the prefabricated structure.

[0065] The first generation module is used to generate the bending moment value of the prefabricated structure node at the location coordinates based on the temperature change, location coordinates and bending moment model when the actual strain value is greater than the preset strain value.

[0066] The second generation module is used to generate the health value of the prefabricated structure node at the location coordinate based on the bending moment value of the prefabricated structure node at the location coordinate and the health model.

[0067] The third generation module is used to obtain the repair plan for the prefabricated structural node when the health value is within the preset damage range, obtain the simulation data of the repair plan, obtain the repair start time and repair completion time from the simulation data, and generate the toughness value of the prefabricated structural node after the repair plan is implemented by using the repair start time, repair completion time and toughness value model.

[0068] The assessment module is used to retrieve the repair cost corresponding to the repair plan from the cost database and the total construction period corresponding to the repair plan from the construction period database when the toughness value is greater than a preset threshold. It generates the total carbon emissions of the repair plan through the carbon emission model, adds the assessment values ​​of toughness value, repair cost, total construction period, and total carbon emissions to generate a comprehensive assessment value of the repair plan, and writes the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

[0069] 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 repair scheme evaluation method based on prefabricated structural nodes described in the first aspect above.

[0070] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the repair scheme evaluation method based on prefabricated structural nodes described in the first aspect above.

[0071] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to execute the repair scheme evaluation method based on prefabricated structural nodes described in the first aspect above.

[0072] The beneficial effects of this application embodiment are twofold. Firstly, when the toughness value is greater than a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, and the total construction period corresponding to the repair plan is obtained from the construction period database. Through the carbon emission model, the total carbon emission of the repair plan is generated. The evaluation values ​​of toughness, repair cost, total construction period, and total carbon emission are added together to generate a comprehensive evaluation value of the repair plan. The toughness value, repair cost, total construction period, total carbon emission, and comprehensive evaluation value are written into the evaluation template to generate an evaluation report of the repair plan. Since there is no need for manual evaluation of the repair plan for prefabricated structural nodes, the evaluation time of the repair plan is reduced, which is conducive to improving the evaluation efficiency of the repair plan. Secondly, the larger the comprehensive evaluation value of the repair plan, the better the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission; the smaller the comprehensive evaluation value of the repair plan, the worse the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission. Attached Figure Description

[0073] 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.

[0074] Figure 1 An application scenario diagram illustrating the evaluation method for repair schemes based on prefabricated structural nodes provided in this application embodiment;

[0075] Figure 2 This is a flowchart illustrating the evaluation method for repair schemes based on prefabricated structural nodes provided in an embodiment of this application.

[0076] Figure 3 This is a flowchart illustrating the implementation of S205 in an embodiment of this application.

[0077] Figure 4 A schematic block diagram of a repair scheme evaluation device based on prefabricated structural nodes provided in an embodiment of this application;

[0078] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0079] 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.

[0080] The repair scheme evaluation method based on prefabricated structural nodes provided in this application embodiment can be applied to electronic devices such as mobile phones, tablets, wearable devices, in-vehicle devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). This application embodiment does not impose any restrictions on the specific type of electronic device.

[0081] Please see Figure 1 , Figure 1 The application scenario diagram of the repair scheme evaluation method based on prefabricated structural nodes provided in the embodiments of this application is described in detail below:

[0082] Electronic devices access the monitoring system to obtain monitoring data of prefabricated structural nodes from the monitoring system.

[0083] The monitoring system employs a fiber Bragg grating sensor in conjunction with a temperature sensor.

[0084] In this embodiment of the application, the electronic device obtains the monitoring data of the prefabricated structure node from the monitoring system, eliminating the need for manual monitoring, reducing the acquisition time of the prefabricated structure node monitoring data, and improving the acquisition efficiency of the prefabricated structure node monitoring data.

[0085] Please see Figure 2 , Figure 2 This is a flowchart illustrating the repair scheme evaluation method based on prefabricated structural nodes provided in this application embodiment. This method can be applied to electronic devices.

[0086] like Figure 2 As shown in the figure, the method for evaluating repair schemes based on prefabricated structural nodes provided in this application includes the following steps, detailed below:

[0087] S201. Acquire monitoring data of prefabricated structural nodes. Obtain the initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor from the monitoring data. Generate temperature strain value based on temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model. Subtract the temperature strain value from the initial strain value to obtain the actual strain value. Prefabricated structural nodes are connection nodes formed by splicing different prefabricated components in prefabricated structures.

[0088] Among them, the fiber Bragg grating sensor (FBG) is a wavelength modulation sensor based on fiber grating technology. Its core principle is to achieve high-precision measurement of external physical quantities by using the reflection characteristics of specific wavelength light by the periodic refractive index modulation structure in the fiber core.

[0089] Fiber Bragg grating sensors use wavelength encoding technology to sense structural strain and vibration in real time, while temperature sensors simultaneously collect ambient temperature data to correct measurement errors of the fiber Bragg grating sensors.

[0090] The strain model is as follows:

[0091] ;

[0092] in, It is the temperature strain value; It is the temperature sensitivity coefficient; It is the temperature change measured by the temperature sensor; It is the strain sensitivity coefficient.

[0093] By subtracting the temperature strain value from the initial strain value, the actual strain value is obtained, which can accurately isolate the influence of thermal effects. The actual strain value can accurately reflect the true state of the prefabricated structural nodes.

[0094] S202, when the actual strain value is greater than the preset strain value, the bending moment value of the prefabricated structure node at the position coordinate is generated based on the temperature change, position coordinates and bending moment model.

[0095] The bending moment model is as follows:

[0096] ;

[0097] ;

[0098] ;

[0099] It is the equivalent elastic modulus of the prefabricated structural node;

[0100] It is the elastic modulus of concrete. It is the elastic modulus of the reinforcing steel.

[0101] It is the cross-sectional area of ​​the concrete. It is the cross-sectional area of ​​the reinforcing steel.

[0102] It is the moment of inertia of the nodes in the prefabricated structure; It is the cross-sectional width of the prefabricated structural node;

[0103] It is the cross-sectional height of the prefabricated structural node; It is the inclination angle of the tenon bevel in the prefabricated structure node;

[0104] These are position coordinates, which refer to coordinates in the horizontal direction.

[0105] It represents the bending moment value at the location coordinates of the prefabricated structure node. It is the stress on the outer side of the prefabricated structure node at its location coordinates; It is the stress on the inside of the node of the prefabricated structure at the location coordinate.

[0106] S203, Based on the bending moment value of the prefabricated structural node at the location coordinate and the health model, generate the health value of the prefabricated structural node at the location coordinate;

[0107] The health model is as follows:

[0108] ;

[0109] in, It is the health value of the prefabricated structure node at its location coordinates; It is the bending moment bearing capacity of the upper part of the prefabricated structure node. It is the bending moment bearing capacity at the lower part of the prefabricated structure node; It is the bending moment value of the reinforcing steel. It is the bending moment value of the node in the prefabricated structure at its location coordinates.

[0110] For example, in a subway tunnel, there is a prefabricated structural node whose location coordinates are set at 500 meters along the longitudinal direction of the tunnel. Through health model analysis, the health value of the prefabricated structural node at its location coordinates can be obtained.

[0111] Among them, the health value of the prefabricated structure node at its location coordinates can quantify the health status of the prefabricated structure node. The health value of the prefabricated structure node at its location coordinates ranges from 0 to 1.

[0112] Within the specified range, a higher health value at the location coordinates of the prefabricated structural node indicates a better health status; conversely, a lower health value at the location coordinates indicates a worse health status.

[0113] S204, when the health value is within the preset damage range, obtain the repair plan for the prefabricated structural node, obtain the simulation data of the repair plan, obtain the repair start time and repair completion time from the simulation data, and generate the toughness value of the prefabricated structural node after the repair plan is implemented by using the repair start time, repair completion time and toughness value model.

[0114] The damage range is a continuous range of values ​​that represents the degree of damage from mild to severe.

[0115] Specifically, when the health value is within a preset damage range, a repair plan for the prefabricated structural node is obtained, simulation data of the repair plan is acquired, the repair start time and repair completion time are obtained from the simulation data, and the toughness value of the prefabricated structural node after the repair plan is implemented is generated using the repair start time, repair completion time, and toughness value model, including:

[0116] The repair plan and the model of the prefabricated structural node are imported into the simulation platform. In the simulation platform, the model of the prefabricated structural node is simulated according to the parameters in the repair plan to obtain the simulation data of the repair plan. The health value of the prefabricated structural node at each time point is obtained from the simulation data.

[0117] By using the repair start time, repair completion time, and toughness value model, the toughness value of the prefabricated structure node after the repair scheme is implemented is generated.

[0118] The resilience model is as follows:

[0119] ;

[0120] in, It is the toughness value of the prefabricated structural node after the repair plan is implemented. It is the position coordinate of the prefabricated structure node. Health value at any time This is the repair start time; This is the repair completion time. It is the health value of the prefabricated structure node at the initial moment of its position coordinates.

[0121] S205. When the toughness value is greater than the preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, the total carbon emission of the repair plan is generated through the carbon emission model, the assessment value of the toughness value, the assessment value of the repair cost, the assessment value of the total construction period, and the assessment value of the total carbon emission are added together to generate the comprehensive assessment value of the repair plan, and the toughness value, repair cost, total construction period, total carbon emission, and comprehensive assessment value are written into the assessment template to generate the assessment report of the repair plan.

[0122] The project schedule database is used to store the project schedule data corresponding to each implementation stage in the repair plan.

[0123] The cost database is used to store cost data corresponding to each implementation stage of the repair plan.

[0124] The assessment template provides a standardized framework for integration, enabling the rapid collection and unified processing of resilience values, repair costs, total project duration, total carbon emissions, and comprehensive assessment values. This avoids the tediousness and error-proneness of manual analysis, greatly improving data processing speed.

[0125] The carbon emission models include the additive model, the first model, the second model, and the third model:

[0126] The addition model is as follows:

[0127] ;

[0128] It represents the total carbon emissions of the remediation plan; It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan; It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan; It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase; It is the first weighting coefficient. It is the second weighting coefficient. It is the third weighting coefficient;

[0129] The first model is:

[0130] ;

[0131] It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan;

[0132] It is the first in the repair plan Consumption of various repair materials;

[0133] It is the first in the repair plan Carbon emission factors of the remediation materials;

[0134] It is the first The number of machine shifts used to produce various repair materials;

[0135] This represents the total number of types of repair materials.

[0136] It is the first in the repair plan The energy consumed by the machinery used to produce a type of repair material in one shift;

[0137] It is the first in the repair plan Carbon emission factors of machinery used in the production of repair materials;

[0138] The second model is:

[0139] ;

[0140] It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan;

[0141] It is the first in the repair plan Consumption of various repair materials;

[0142] It is the first in the repair plan The transportation distance of the repair materials;

[0143] It is the first in the repair plan Carbon emission factors of vehicles transporting repair materials;

[0144] The third model is:

[0145] ;

[0146] It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase;

[0147] It is the first in the repair plan The number of shifts of construction machinery used for various repair materials;

[0148] It is the first in the repair plan The energy consumed by construction machinery for various repair materials within one shift;

[0149] It is the first in the repair plan Carbon emission factors of construction machinery used for repairing materials.

[0150] The resilience value reflects the ability of a repair plan to cope with uncertain risks and sudden disturbances; the repair cost reflects the economic rationality of the fault recovery phase; the total duration reflects the time efficiency of the repair plan implementation; and the total carbon emissions reflect the environmental friendliness of the associated repair plan.

[0151] Among these, the higher the toughness value, the higher the toughness assessment value; the lower the toughness value, the lower the toughness assessment value; the lower the repair cost, the higher the repair cost assessment value; the lower the total construction period, the higher the total construction period assessment value; the lower the total carbon emissions, the higher the total carbon emissions assessment value; the lower the total carbon emissions, the higher the total carbon emissions assessment value.

[0152] The higher the comprehensive evaluation value of the repair plan, the more likely the repair plan can achieve the expected repair effect with lower repair costs, shorter total construction period and less total carbon emissions, while ensuring the safety and toughness of the prefabricated structural nodes.

[0153] The smaller the comprehensive evaluation value of the repair plan, the higher the repair cost, the longer the total construction period, and the greater the total carbon emissions required to achieve the expected repair effect while ensuring the safety and toughness of the prefabricated structural nodes.

[0154] Following S205, the method also includes:

[0155] Based on the same damage level, intelligent matching and filtering are performed in the mapping library to obtain multiple repair schemes with different technical approaches. The comprehensive evaluation value of each repair scheme is obtained, and the comprehensive evaluation values ​​of each repair scheme are sorted. Based on the sorting results, the repair scheme with the largest comprehensive evaluation value is selected as the optimal repair scheme for the prefabricated structural node.

[0156] This application will not be satisfied with a single repair solution. Based on the same damage level, it will intelligently match and filter within a mapping library to obtain multiple repair solutions with different technical approaches, providing a basis for comparison and selection. The filtering logic is: selecting multiple repair solutions with the same damage level but different technical approaches. The core of this decision-making process lies in transcending the limitations of a single repair solution. Through comparison of multiple repair solutions and multi-objective trade-offs, it identifies the optimal repair solution that achieves a better balance in terms of toughness value, repair cost, total construction period, and total carbon emissions. The optimal repair solution is pushed out in real time to the equipment of users or on-site construction personnel via a cloud platform. Users or on-site construction personnel can clearly view the recommended optimal repair solution on their equipment. The optimal repair solution provides users or on-site construction personnel with a clear, data-supported, and high-performance repair action guide.

[0157] The beneficial effects of this application embodiment are twofold. Firstly, when the toughness value is greater than a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, and the total construction period corresponding to the repair plan is obtained from the construction period database. Through the carbon emission model, the total carbon emission of the repair plan is generated. The evaluation values ​​of toughness, repair cost, total construction period, and total carbon emission are added together to generate a comprehensive evaluation value of the repair plan. The toughness value, repair cost, total construction period, total carbon emission, and comprehensive evaluation value are written into the evaluation template to generate an evaluation report of the repair plan. Since there is no need for manual evaluation of the repair plan for prefabricated structural nodes, the evaluation time of the repair plan is reduced, which is conducive to improving the evaluation efficiency of the repair plan. Secondly, the larger the comprehensive evaluation value of the repair plan, the better the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission; the smaller the comprehensive evaluation value of the repair plan, the worse the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission.

[0158] Please see Figure 3 , Figure 3 The implementation flowchart of S205 provided in the embodiments of this application is described in detail below:

[0159] S301, when the toughness value is greater than the preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, and the total carbon emission of the repair plan is generated through the carbon emission model.

[0160] S302, obtain the toughness range in which the toughness value is located, select the score corresponding to the toughness range as the evaluation value of the toughness value, obtain the cost range in which the repair cost is located, select the score corresponding to the cost range as the evaluation value of the total construction period, obtain the construction period range in which the total construction period is located, select the score corresponding to the construction period range as the evaluation value of the total construction period, obtain the numerical range in which the total carbon emissions are located, select the score corresponding to the numerical range as the evaluation value of the total construction period, add the evaluation value of the toughness value, the evaluation value of the repair cost, the evaluation value of the total construction period, and the evaluation value of the total carbon emissions together to generate the comprehensive evaluation value of the repair plan;

[0161] S303: Obtain the assessment template of the repair plan, call the write function, and write the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

[0162] In this embodiment of the application, the evaluation report of the repair scheme presents the performance of the repair scheme in terms of toughness value, repair cost, total construction period, total carbon emissions, and comprehensive evaluation value with intuitive data and clear descriptions, so that users can quickly understand the advantages and disadvantages of the scheme.

[0163] For the evaluation method of repair schemes based on prefabricated structural nodes described in the above embodiments, please refer to [link / reference]. Figure 4 , Figure 4 This is a schematic block diagram of a repair scheme evaluation device based on prefabricated structural nodes provided in an embodiment of this application. Figure 4 The repair scheme evaluation device 400 based on prefabricated structural nodes 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 repair scheme evaluation device 400 based on prefabricated structural nodes is described in detail. The repair scheme evaluation device 400 based on prefabricated structural nodes may include an acquisition module 401, a first generation module 402, a second generation module 403, a third generation module 404, and an evaluation module 405.

[0164] The acquisition module 401 is used to acquire monitoring data of the prefabricated structure node. It acquires the initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, it generates temperature strain value. The initial strain value is subtracted from the temperature strain value to obtain the actual strain value. The prefabricated structure node is the connection node formed by splicing different prefabricated components in the prefabricated structure.

[0165] The first generation module 402 is used to generate the bending moment value of the prefabricated structure node at the position coordinate based on the temperature change, position coordinate and bending moment model when the actual strain value is greater than the preset strain value.

[0166] The second generation module 403 is used to generate the health value of the prefabricated structure node at the location coordinate based on the bending moment value of the prefabricated structure node at the location coordinate and the health model.

[0167] The third generation module 404 is used to obtain the repair plan of the prefabricated structural node when the health value is in the preset damage range, obtain the simulation data of the repair plan, obtain the repair start time and repair completion time from the simulation data, and generate the toughness value of the prefabricated structural node after the repair plan is implemented by using the repair start time, repair completion time and toughness value model.

[0168] The assessment module 405 is used to obtain the repair cost corresponding to the repair plan from the cost database and the total construction period corresponding to the repair plan from the construction period database when the toughness value is greater than the preset threshold. It generates the total carbon emissions of the repair plan through the carbon emission model, adds the assessment value of toughness value, the assessment value of repair cost, the assessment value of total construction period, and the assessment value of total carbon emissions to generate a comprehensive assessment value of the repair plan, and writes the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

[0169] 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.

[0170] The beneficial effects of this application embodiment are twofold. Firstly, when the toughness value is greater than a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, and the total construction period corresponding to the repair plan is obtained from the construction period database. Through the carbon emission model, the total carbon emission of the repair plan is generated. The evaluation values ​​of toughness, repair cost, total construction period, and total carbon emission are added together to generate a comprehensive evaluation value of the repair plan. The toughness value, repair cost, total construction period, total carbon emission, and comprehensive evaluation value are written into the evaluation template to generate an evaluation report of the repair plan. Since there is no need for manual evaluation of the repair plan for prefabricated structural nodes, the evaluation time of the repair plan is reduced, which is conducive to improving the evaluation efficiency of the repair plan. Secondly, the larger the comprehensive evaluation value of the repair plan, the better the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission; the smaller the comprehensive evaluation value of the repair plan, the worse the comprehensive evaluation of the repair plan based on the four aspects of toughness value, repair cost, total construction period, and total carbon emission.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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:

[0175] The monitoring data of the prefabricated structural node is obtained. The initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor are obtained from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, the temperature strain value is generated. The actual strain value is obtained by subtracting the temperature strain value from the initial strain value. The prefabricated structural node is the connection node formed by splicing different prefabricated components in the prefabricated structure.

[0176] When the actual strain value is greater than the preset strain value, the bending moment value of the prefabricated structure node at the position coordinate is generated based on the temperature change, position coordinates and bending moment model.

[0177] Based on the bending moment value of the prefabricated structure node at its location coordinates and the health model, generate the health value of the prefabricated structure node at its location coordinates.

[0178] When the health value is within the preset damage range, the repair plan for the prefabricated structural node is obtained, the simulation data of the repair plan is obtained, the repair start time and repair completion time are obtained from the simulation data, and the toughness value of the prefabricated structural node after the repair plan is implemented is generated by using the repair start time, repair completion time and toughness value model.

[0179] When the toughness value exceeds a preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, and the total carbon emissions of the repair plan are generated through the carbon emission model. The assessment values ​​of toughness, repair cost, total construction period, and total carbon emissions are added together to generate a comprehensive assessment value of the repair plan. The toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value are written into the assessment template to generate an assessment report of the repair plan.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] The computer-readable storage medium stores program code that can be called by a processor to execute the repair scheme evaluation method based on prefabricated structural nodes described in the above method embodiments.

[0184] Since the computer program stored in the computer-readable storage medium can execute any of the repair scheme evaluation methods based on prefabricated structural nodes provided in the embodiments of this application, the computer-readable storage medium can achieve the beneficial effects that any of the repair scheme evaluation methods based on prefabricated structural nodes provided in the embodiments of this application can achieve, as detailed in the preceding embodiments, and will not be repeated here.

[0185] This application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the aforementioned repair scheme evaluation method based on prefabricated structural nodes.

[0186] 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.

[0187] 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 evaluating repair schemes based on prefabricated structural nodes, characterized in that, Applied to electronic devices, the evaluation method for repair schemes based on prefabricated structural nodes includes: The monitoring data of the prefabricated structural node is obtained. The initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor are obtained from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, the temperature strain value is generated. The actual strain value is obtained by subtracting the temperature strain value from the initial strain value. The prefabricated structural node is the connection node formed by splicing different prefabricated components in the prefabricated structure. When the actual strain value is greater than the preset strain value, the bending moment value of the prefabricated structure node at the position coordinate is generated based on the temperature change, position coordinates and bending moment model. Based on the bending moment value of the prefabricated structure node at its location coordinates and the health model, generate the health value of the prefabricated structure node at its location coordinates. When the health value is within the preset damage range, the repair plan for the prefabricated structural node is obtained, the simulation data of the repair plan is obtained, the repair start time and repair completion time are obtained from the simulation data, and the toughness value of the prefabricated structural node after the repair plan is implemented is generated by using the repair start time, repair completion time and toughness value model. When the toughness value is greater than the preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, the total carbon emission of the repair plan is generated through the carbon emission model, the assessment value of the toughness value, the assessment value of the repair cost, the assessment value of the total construction period, and the assessment value of the total carbon emission are added together to generate the comprehensive assessment value of the repair plan, and the toughness value, repair cost, total construction period, total carbon emission, and comprehensive assessment value are written into the assessment template to generate the assessment report of the repair plan; The strain model is as follows: ； in, It is the temperature strain value; It is the temperature sensitivity coefficient; It is the temperature change measured by the temperature sensor; It is the strain sensitivity coefficient; The bending moment model is as follows: ； ； ； It is the equivalent elastic modulus of the prefabricated structural node; It is the elastic modulus of concrete. It is the elastic modulus of the reinforcing steel. It is the cross-sectional area of ​​the concrete. It is the cross-sectional area of ​​the reinforcing steel. It is the moment of inertia of the nodes in the prefabricated structure; It is the cross-sectional width of the prefabricated structural node; It is the cross-sectional height of the prefabricated structural node; It is the inclination angle of the tenon bevel in the prefabricated structure node; These are position coordinates, which refer to coordinates in the horizontal direction. It represents the bending moment value at the location coordinates of the prefabricated structure node. It is the stress on the outer side of the prefabricated structure node at its location coordinates; It is the stress on the inner side of the node of the prefabricated structure at the location coordinates; The health model is as follows: ； in, It is the health value of the prefabricated structure node at its location coordinates; It is the bending moment bearing capacity of the upper part of the prefabricated structure node. It is the bending moment bearing capacity at the lower part of the prefabricated structure node; It is the bending moment value of the reinforcing steel. It is the bending moment value of the node in the prefabricated structure at its location coordinates; The resilience model is as follows: ； in, It is the toughness value of the prefabricated structural node after the repair plan is implemented. It is the position coordinate of the prefabricated structure node. t Health value at any time This is the repair start time; This is the repair completion time. It is the health value of the prefabricated structure node at the initial moment of its position coordinates.

2. The method for evaluating repair schemes based on prefabricated structural nodes according to claim 1, characterized in that, When the health value is within a preset damage range, a repair plan for the prefabricated structural node is obtained, simulation data of the repair plan is acquired, and the repair start time and repair completion time are obtained from the simulation data. Using the repair start time, repair completion time, and toughness value model, the toughness value of the prefabricated structural node after the repair plan is implemented is generated, including: The repair plan and the model of the prefabricated structural node are imported into the simulation platform. In the simulation platform, the model of the prefabricated structural node is simulated according to the parameters in the repair plan to obtain the simulation data of the repair plan. The health value of the prefabricated structural node at each time point is obtained from the simulation data. By using the repair start time, repair completion time, and toughness value model, the toughness value of the prefabricated structure node after the repair scheme is implemented is generated.

3. The method for evaluating repair schemes based on prefabricated structural nodes according to claim 1, characterized in that, When the toughness value exceeds a preset threshold, the repair cost corresponding to the repair plan is retrieved from the cost database, and the total construction period corresponding to the repair plan is retrieved from the construction period database. Using a carbon emission model, the total carbon emissions of the repair plan are generated. The assessed values ​​of the toughness value, repair cost, total construction period, and total carbon emissions are added together to generate a comprehensive assessment value for the repair plan. The toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value are written into an assessment template to generate an assessment report for the repair plan, including: When the toughness value is greater than the preset threshold, the repair cost corresponding to the repair plan is obtained from the cost database, the total construction period corresponding to the repair plan is obtained from the construction period database, and the total carbon emission of the repair plan is generated through the carbon emission model. Obtain the toughness range in which the toughness value falls, and select the score corresponding to the toughness range as the evaluation value of the toughness value. Obtain the cost range in which the repair cost falls, and select the score corresponding to the cost range as the evaluation value of the total construction period. Obtain the construction period range in which the total construction period falls, and select the score corresponding to the construction period range as the evaluation value of the total construction period. Obtain the numerical range in which the total carbon emissions fall, and select the score corresponding to the numerical range as the evaluation value of the total construction period. Add the evaluation values ​​of the toughness value, the repair cost, the total construction period, and the total carbon emissions to generate a comprehensive evaluation value of the repair plan. Obtain the assessment template of the repair plan, call the write function, and write the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

4. The method for evaluating repair schemes based on prefabricated structural nodes according to claim 1, characterized in that, Carbon emission models include additive models, the first model, the second model, and the third model: The addition model is as follows: ； It represents the total carbon emissions of the remediation plan; It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan; It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan; It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase; It is the first weighting coefficient. It is the second weighting coefficient. It is the third weighting coefficient; The first model is: ； It is the sum of the carbon emissions generated during the production process of all materials in the remediation plan; It is the first in the repair plan Consumption of various repair materials; It is the first in the repair plan Carbon emission factors of the remediation materials; It is the first The number of machine shifts used to produce various repair materials; This represents the total number of types of repair materials; It is the first in the repair plan The energy consumed by the machinery used to produce a type of repair material within one shift; It is the first in the repair plan Carbon emission factors of the machinery used to produce these repair materials; The second model is: ； It is the sum of carbon emissions generated during the transportation of various materials in the remediation plan; It is the first in the repair plan Consumption of various repair materials; It is the first in the repair plan The transportation distance of the repair materials; It is the first in the repair plan Carbon emission factors of vehicles transporting repair materials; The third model is: ； It is the sum of carbon emissions generated by various materials in the repair plan during the construction phase; It is the first in the repair plan The number of shifts of construction machinery used for various repair materials; It is the first in the repair plan The energy consumed by construction machinery for various repair materials within one shift; It is the first in the repair plan Carbon emission factors of construction machinery used for repairing materials.

5. A device for evaluating repair schemes based on prefabricated structural nodes, according to any one of claims 1 to 4, characterized in that, Applied to electronic devices, including: The acquisition module is used to acquire monitoring data of prefabricated structural nodes. It obtains the initial strain value measured by the fiber Bragg grating sensor and the temperature change measured by the temperature sensor from the monitoring data. Based on the temperature change, strain sensitivity coefficient, temperature sensitivity coefficient and strain model, it generates temperature strain value. The actual strain value is obtained by subtracting the temperature strain value from the initial strain value. The prefabricated structural node is the connection node formed by splicing different prefabricated components in the prefabricated structure. The first generation module is used to generate the bending moment value of the prefabricated structure node at the location coordinates based on the temperature change, location coordinates and bending moment model when the actual strain value is greater than the preset strain value. The second generation module is used to generate the health value of the prefabricated structure node at the location coordinate based on the bending moment value of the prefabricated structure node at the location coordinate and the health model. The third generation module is used to obtain the repair plan for the prefabricated structural node when the health value is within the preset damage range, obtain the simulation data of the repair plan, obtain the repair start time and repair completion time from the simulation data, and generate the toughness value of the prefabricated structural node after the repair plan is implemented by using the repair start time, repair completion time and toughness value model. The assessment module is used to retrieve the repair cost corresponding to the repair plan from the cost database and the total construction period corresponding to the repair plan from the construction period database when the toughness value is greater than a preset threshold. It generates the total carbon emissions of the repair plan through the carbon emission model, adds the assessment values ​​of toughness value, repair cost, total construction period, and total carbon emissions to generate a comprehensive assessment value of the repair plan, and writes the toughness value, repair cost, total construction period, total carbon emissions, and comprehensive assessment value into the assessment template to generate an assessment report of the repair plan.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the repair scheme evaluation method based on prefabricated structural nodes as described in any one of claims 1 to 4.

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