A method and device for optimizing a demolition and reconstruction scheme considering the influence of spatial restrictions

Abstract

The application provides a method and device for optimizing a demolition and reconstruction scheme considering the influence of space limitation. The method comprises: obtaining stress data and displacement data of a target demolition and reconstruction part in the demolition and reconstruction scheme. A weight factor of the stress data and the displacement data is determined based on the balance structure bearing capacity and deformation capacity of the target demolition and reconstruction part. A safety index is generated based on the stress data, the displacement data and the weight factor. A plurality of evaluation factors of the demolition and reconstruction scheme are determined according to the space limitation corresponding to the target demolition and reconstruction part. A space influence index is determined based on the corresponding relationship between each evaluation factor and an evaluation grade. A target function is determined based on the safety index, the space influence index and the target demolition and reconstruction part. The demolition and reconstruction scheme is optimized according to the target function with the minimum safety index and the minimum space influence index as the target. The method provided by the application can comprehensively optimize the demolition and reconstruction scheme considering the influence of space limitation.

Description

Technical Field

[0001] This application relates to the field of civil engineering technology, and in particular to a method and apparatus for optimizing demolition and alteration schemes that take into account the impact of space constraints. Background Technology

[0002] With the continuous development of technology, the civil engineering industry has also made significant progress. As existing facilities age and new technologies are increasingly applied, partial demolition and renovation of existing projects are becoming more frequent. However, due to factors such as material aging, changes in the structural stress system, and construction disturbances, the difficulty and danger of demolition and renovation projects are in some aspects no less than those of new construction. In the specific process of demolition and renovation, especially the protective demolition of parts of the concrete structure, it differs from new construction. On the one hand, the original stress system of the structure changes after the removal of some components, and the disturbance caused by the demolition and renovation leads to changes in structural stress, which can easily cause safety and stability problems. At the same time, due to limited internal space, the placement of large construction machinery and equipment and vehicle transportation are inconvenient. Some ultra-high, ultra-heavy, and ultra-long components face challenges due to site space constraints during demolition, hoisting, and transportation. Therefore, safety and space constraints require that the demolition size be as small as possible. However, on the other hand, a smaller demolition size means increased costs in terms of structural cutting, hoisting, and transportation, and the construction period will also be extended. The relevant technologies can only guarantee a certain balance between safety and space constraints, and between cost and schedule, but cannot find the best balance between safety and space constraints, and between cost and schedule.

[0003] Therefore, how to optimize the demolition and modification plan so that the improved plan can find an excellent balance between safety and space constraints and cost and construction period has become a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0004] Based on the above problems, this application provides a method and apparatus for optimizing demolition and modification schemes that take into account the impact of space constraints, so as to balance safety and space constraints, as well as cost and construction period.

[0005] This application provides a method for optimizing demolition and alteration schemes that takes into account the impact of space constraints. The method includes the following steps:

[0006] Obtain stress and displacement data of the target demolition / modification section in the demolition / modification plan;

[0007] The weighting factors for the stress data and displacement data are determined based on the load-bearing capacity and deformation capacity of the target demolished / modified part of the structure.

[0008] A safety index is generated based on the stress data, the displacement data, and the weighting factor. The smaller the safety index, the safer the dismantling and modification scheme.

[0009] Based on the proposed demolition and alteration plan, multiple evaluation factors for the proposed plan are determined within the space constraints corresponding to the target demolition and alteration portion.

[0010] The spatial impact index is determined based on the correspondence between each evaluation factor and the evaluation level. The smaller the spatial impact index, the less the demolition and modification plan is affected by spatial constraints.

[0011] The objective function is determined based on the safety indicators, the spatial impact indicators, and the target dismantling / modification portion;

[0012] With the goals of minimizing the safety indicators and minimizing the spatial impact indicators, the dismantling and modification scheme is optimized according to the objective function.

[0013] In one possible implementation, the determination of multiple evaluation factors of the demolition and modification scheme within the space constraints corresponding to the target demolition and modification portion, based on the demolition and modification scheme, includes:

[0014] Based on the demolition and modification plan, multiple primary evaluation factors are determined within the space constraints corresponding to the target demolition and modification portion. Each primary evaluation factor includes multiple secondary evaluation factors.

[0015] In one possible implementation, determining the spatial influence index based on the correspondence between each evaluation factor and evaluation level includes:

[0016] An evaluation level set is determined based on the demolition and renovation plan, and the evaluation level set includes multiple evaluation results for the evaluation factors;

[0017] Within the spatial constraints corresponding to the target demolition / modification section, determine the first importance among multiple primary evaluation factors;

[0018] Based on the aforementioned demolition and alteration plan, determine the evaluation criteria corresponding to each of the secondary evaluation factors;

[0019] Based on the evaluation criteria, a normal distribution membership function is used to obtain the membership degree of each of the secondary evaluation factors corresponding to each evaluation result in the evaluation level set;

[0020] A fuzzy relation matrix is ​​generated based on the secondary evaluation factors and their corresponding membership degrees;

[0021] An evaluation vector is obtained based on the fuzzy relation matrix and the first importance level;

[0022] The spatial influence index is obtained by using the evaluation vector based on the weighted average principle.

[0023] In one possible implementation, the first importance level is obtained by the following method:

[0024] A judgment matrix is ​​generated based on the primary evaluation factors and the secondary evaluation factors;

[0025] The judgment matrix is ​​generated using the following formula:

[0026] A = (a ij ) n×n

[0027] Where A represents the judgment matrix, i represents the i-th of the n secondary evaluation factors, j represents the j-th of the n secondary evaluation factors, and a represents the a-th primary evaluation factor. ij This represents the comparison of the importance of the i-th and j-th secondary evaluation factors relative to the a-th primary evaluation factor;

[0028] The first importance level is obtained by the following formula

[0029]

[0030] Among them, w i This indicates the highest level of importance, where k represents the k-th factor among the n secondary evaluation factors, and i represents the i-th factor among the n secondary evaluation factors. This represents the eigenvector corresponding to the i-th secondary evaluation factor;

[0031] The feature vector corresponding to the i-th primary evaluation factor is calculated using the following formula:

[0032]

[0033] in, Let m represent the eigenvector corresponding to the i-th secondary evaluation factor. i This represents the product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor;

[0034] The product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor is obtained by the following formula:

[0035]

[0036] Where, m i This represents the product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor, where i represents the i-th of the n secondary evaluation factors, j represents the j-th of the n secondary evaluation factors, and a ij This represents the comparison of the importance of the i-th and j-th secondary evaluation factors relative to the a-th primary evaluation factor.

[0037] In one possible implementation, the membership degree is obtained using the following formula:

[0038]

[0039] Where, r u , v Let represent the membership degree of the u-th secondary evaluation factor corresponding to the v-th evaluation result, where u represents the u-th of the n secondary evaluation factors, v represents the v-th evaluation result in the set of evaluation levels, x represents the score value corresponding to the u-th secondary evaluation factor, the score value is determined by the evaluation criteria, a represents the mean of the normal distribution corresponding to the score value of the u-th secondary evaluation factor, and σ represents the standard deviation of the normal distribution corresponding to the score value of the u-th secondary evaluation factor.

[0040] In one possible implementation, the fuzzy relation matrix is ​​obtained by the following formula:

[0041]

[0042] Where R represents the fuzzy relation matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the set of evaluation levels, and r n Let r represent the set of membership degrees corresponding to the nth secondary evaluation factor. nm This represents the membership degree of the nth secondary evaluation factor to the mth evaluation result.

[0043] This application also provides an optimization device for demolition and alteration schemes that takes into account the impact of space constraints, the device comprising the following modules:

[0044] The first acquisition module is used to acquire stress data and displacement data of the target dismantling / modification part in the dismantling / modification plan;

[0045] The weighting factor determination module is used to determine the weighting factors of the stress data and the displacement data based on the load-bearing capacity and deformation capacity of the balanced structure of the target demolished / modified part.

[0046] The safety index determination module is used to generate a safety index based on the stress data, the displacement data and the weighting factor. The smaller the safety index, the safer the dismantling and modification scheme.

[0047] The evaluation factor determination module is used to determine multiple evaluation factors of the demolition and modification scheme within the space constraints corresponding to the target demolition and modification part based on the demolition and modification scheme.

[0048] The spatial impact index determination module is used to determine the spatial impact index based on the correspondence between each evaluation factor and the evaluation level. The smaller the spatial impact index, the less the demolition and modification plan is affected by spatial constraints.

[0049] The objective function determination module is used to determine the objective function based on the safety index, the spatial impact index, and the target dismantling / modification portion;

[0050] The optimization module is used to optimize the dismantling and modification scheme according to the objective function, with the goal of minimizing the safety index and the spatial impact index.

[0051] This application also provides an electronic device, which includes a processor and a memory:

[0052] The memory is used to store computer programs and to transfer the computer programs to the processor;

[0053] The processor is used to execute the steps of the above-described optimization method for the dismantling and modification scheme that takes into account the impact of space constraints, according to the instructions in the computer program.

[0054] This application also provides a computer-readable storage medium for storing a computer program that, when executed by an electronic device, implements the steps of the above-described optimization method for the dismantling and modification scheme considering the impact of space limitations.

[0055] Compared with the prior art, this application has the following beneficial effects:

[0056] The method provided in this application generates safety indices by acquiring stress and displacement data of the target demolition / modification section and determining weighting factors based on balancing structural bearing capacity and deformation capacity. This quantitative safety assessment method can more accurately reflect the safety of the demolition / modification scheme and significantly reduce potential structural safety problems during demolition. In contrast, existing technologies are relatively crude in their safety assessments and cannot fully reflect the potential risks in complex engineering projects. This application generates spatial impact indices by identifying multiple evaluation factors within the spatial constraints corresponding to the target demolition / modification section. These indices can quantify the impact of spatial constraints on the demolition / modification scheme during actual construction, thereby providing more targeted improvement suggestions. This is more scientific and objective than the more subjective spatial constraint considerations in existing technologies. This application clarifies the objective function for optimization, comprehensively considering both safety and spatial impact indices, ensuring that the optimization process not only focuses on safety but also takes into account spatial adaptability. This dual-objective optimization strategy significantly enhances the feasibility and practicality of the demolition / modification scheme, providing more comprehensive support for decision-making in complex construction environments. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0058] Figure 1 A flowchart illustrating an optimization method for a demolition and alteration scheme considering space constraints, provided as an embodiment of this application;

[0059] Figure 2 A schematic diagram of evaluation factors within spatial constraints provided in an embodiment of this application;

[0060] Figure 3 This is a schematic diagram of a device for optimizing a dismantling and modification scheme that takes into account the impact of space limitations, provided in an embodiment of this application. Detailed Implementation

[0061] As described earlier, the demolition and renovation process, especially the protective demolition of parts of the concrete structure, differs from new construction. On the one hand, the original stress system of the structure changes after the removal of some components, and the disturbance caused by the demolition and renovation leads to changes in structural stress, which can easily cause safety and stability problems. At the same time, due to the limited internal space, it is inconvenient to arrange large construction machinery and equipment and transport vehicles. Some ultra-high, ultra-heavy, and ultra-long components will encounter challenges due to site space constraints during demolition, hoisting, and transportation. Therefore, safety and space constraints require that the demolition size be as small as possible. However, on the other hand, a smaller demolition size means increased costs in terms of cutting the structure, hoisting, and transportation, and the construction period will also be extended. Related technologies can only guarantee a certain degree of balance between safety and space constraints and cost and construction period, and cannot find the optimal balance point between safety and space constraints and cost and construction period.

[0062] Research has shown that quantifying spatial impact and safety assessments, rather than relying on overly subjective evaluations, provides a more objective assessment of demolition and alteration plans. By incorporating spatial impact indicators into the optimization objective through fuzzy evaluation methods and considering safety and component size requirements within the constraint equations, the demolition and alteration plan can effectively utilize limited space while meeting construction safety, schedule, and cost requirements, thereby improving the plan's rationality and applicability.

[0063] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0064] It is understood that the method provided in this application can be applied to processing devices capable of determining security indicators, such as terminal devices or servers capable of determining spatial impact indicators. The method provided in this application can be executed independently by a terminal device or server, or it can be applied to network scenarios where a terminal device and a server communicate, executing in cooperation. The terminal device can be a computer, mobile phone, or other similar device. The server can be understood as an application server or a web server; in actual deployment, the server can be a standalone server or a cluster server.

[0065] Figure 1 A flowchart of an optimization method for a demolition and alteration scheme considering space constraints, provided in this application, is included in the following steps:

[0066] S101: Obtain stress and displacement data of the target demolition / modification part in the demolition / modification plan.

[0067] The processing equipment can acquire stress and displacement data of the target parts to be dismantled or modified in the dismantling and modification plan.

[0068] Understandably, the dismantling and modification plan includes information such as the structure of the target dismantling and modification part, the stress system of the target dismantling and modification part, and the dismantling and modification method of the target dismantling and modification part. The processing equipment can obtain stress data and displacement data of the target dismantling and modification part based on this information.

[0069] For example, for the target demolition / modification section, n key location units can be selected. The processing equipment can acquire stress and displacement data for these units. Furthermore, the demolition / modification plan includes stress data of the target demolition / modification section before demolition. The plan also includes m demolition / modification steps for the target demolition / modification section. The processing equipment can first determine the stress change rate between two adjacent steps in the m demolition / modification steps, and then obtain the stress data through the stress change rate. The following explanation uses the maximum stress as an example. The maximum stress change rate can be calculated using the following formula:

[0070]

[0071] in, This represents the rate of change of maximum stress, where n represents the n key location elements corresponding to the target dismantling / modification part, and m represents the m dismantling / modification steps. This represents the rate of stress change at the i-th critical location corresponding to the j-th demolition step. The rate of stress change at the i-th critical location corresponding to the j-th demolition step can be calculated using the following formula:

[0072]

[0073] Where i represents the i-th unit among n key location units, σ 10 (i) represents the initial stress value corresponding to the i-th critical position before demolition, σ1(i,j) represents the maximum stress data of the i-th critical position before the j-th demolition step, and σ1(i,j-1) represents the maximum stress data of the i-th critical position after the j-th demolition step. This represents the rate of stress change at the i-th critical location corresponding to the j-th demolition step.

[0074] The method for obtaining the minimum stress is similar to that for obtaining the maximum stress, so we will not go into details here.

[0075] It is understandable that the demolition and alteration plan may include the overall structural displacement of the target demolition and alteration part, and the displacement data can be determined by the overall structural displacement of the target demolition and alteration part in the demolition and alteration plan.

[0076] S102: Determine the weighting factors for stress and displacement data based on the load-bearing capacity and deformation capacity of the target demolition / modification section.

[0077] The processing equipment can determine the weighting factors of stress and displacement data based on the load-bearing capacity and deformation capacity of the target dismantled / modified part of the balanced structure.

[0078] It is understandable that the load-bearing capacity and deformation capacity of the target demolition and alteration part are related to the properties of the target demolition and alteration part. For example, if the target demolition and alteration part is a steel-made support structure, the load-bearing capacity and deformation capacity of the target demolition and alteration part will be determined based on the steel-made support structure.

[0079] In one possible implementation, the processing device can treat stress and displacement as having equal weights. In another possible implementation, the processing device can assign corresponding weights to stress and displacement according to the actual optimization method.

[0080] S103: Generate safety indicators based on stress data, displacement data, and weighting factors.

[0081] The processing equipment can generate safety indicators based on stress data, displacement data, and weighting factors. The smaller the safety indicator, the safer the dismantling and modification scheme.

[0082] In one possible implementation, stress data can be divided into maximum stress and minimum stress. When the stress data and displacement data have equal weights, a safety index can be formed using the following formula:

[0083]

[0084] SI stands for Safety Index. This represents the rate of change of maximum stress. This represents the rate of change of minimum stress. This represents displacement data.

[0085] S104: Based on the demolition and alteration plan, determine multiple evaluation factors for the demolition and alteration plan within the space constraints corresponding to the target demolition and alteration portion.

[0086] The processing equipment can determine multiple evaluation factors of the dismantling and modification scheme within the space constraints corresponding to the target dismantling and modification part, based on the dismantling and modification scheme.

[0087] In one possible implementation, the processing equipment can determine multiple primary evaluation factors of the dismantling and modification scheme within the space constraints corresponding to the target dismantling and modification part, based on the dismantling and modification scheme. Each primary evaluation factor includes multiple secondary evaluation factors.

[0088] Specifically, the spatial constraints of the processing equipment can be decomposed into different components using the Analytic Hierarchy Process (AHP). The main influencing factors for implementing the demolition plan under spatial constraints are considered as three primary evaluation factors: size, cost, and construction period. The size factor mainly considers the length, width, and volume of a single demolition operation (three secondary evaluation factors); the cost factor mainly considers the costs of hoisting, cutting, stacking, transportation, and secondary processing (three secondary evaluation factors); and the construction period factor mainly considers the extension of the construction period caused by the demolition steps and secondary processing (two secondary evaluation factors).

[0089] Figure 2 This is a schematic diagram of evaluation factors within a spatial constraint, provided as an embodiment of this application.

[0090] S105: Determine spatial impact indicators based on the correspondence between each evaluation factor and evaluation level.

[0091] The processing equipment determines the spatial impact index based on the correspondence between each evaluation factor and the evaluation level. The smaller the spatial impact index, the less the demolition and modification plan is affected by spatial constraints.

[0092] In one possible implementation, the processing device can determine an evaluation level set based on the dismantling and modification plan. This evaluation level set includes multiple evaluation results for the evaluation factors. For example, the evaluation level set V = {v1, v2, v3, ..., v...} mMore specifically, the evaluation level set V = {Excellent, Good, Poor}, where “Excellent” represents the least impact of space constraints on the demolition and renovation plan.

[0093] Subsequently, the processing equipment can determine the primary importance of multiple primary evaluation factors within the spatial constraints corresponding to the target demolition / modification area. Specifically, the processing equipment can generate a judgment matrix based on the primary and secondary evaluation factors, which can be generated using the following formula:

[0094] A = (a ij ) n×n

[0095] Where A represents the judgment matrix, i represents the i-th of the n secondary evaluation factors, j represents the j-th of the n secondary evaluation factors, and a represents the a-th primary evaluation factor. ij This represents the comparison of the importance of the i-th and j-th secondary evaluation factors relative to the a-th primary evaluation factor. More specifically,

[0096] The degree of importance can be obtained using the following formula:

[0097]

[0098] Among them, w i This indicates the highest level of importance, where k represents the k-th factor among the n secondary evaluation factors, and i represents the i-th factor among the n secondary evaluation factors. Let represent the feature vector corresponding to the i-th secondary evaluation factor.

[0099] The eigenvector corresponding to the i-th primary evaluation factor can be calculated using the following formula:

[0100]

[0101] in, Let m represent the eigenvector corresponding to the i-th secondary evaluation factor. i This represents the product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor.

[0102] The product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor can be obtained by the following formula:

[0103]

[0104] Where, m i This represents the product of the elements in each row of the judgment matrix A corresponding to the i-th secondary evaluation factor, where i represents the i-th of the n secondary evaluation factors, j represents the j-th of the n secondary evaluation factors, and a ijThis represents the comparison of the importance of the i-th and j-th secondary evaluation factors relative to the a-th primary evaluation factor.

[0105] Subsequently, the processing equipment can determine the evaluation criteria corresponding to each secondary evaluation factor based on the dismantling and modification plan. It is understandable that different evaluation criteria exist for different secondary evaluation factors. Taking the single dismantling length as an example, considering only the single dismantling length as a factor, the shorter the single dismantling length, the higher the evaluation.

[0106] After determining the evaluation criteria corresponding to each secondary evaluation factor, the processing equipment can use a normal distribution membership function based on the evaluation criteria to obtain the membership degree of each secondary evaluation factor corresponding to each evaluation result in the evaluation level set.

[0107] In one possible implementation, the membership degree can be obtained using the following formula:

[0108]

[0109] Where, r u , v Let represent the membership degree of the u-th secondary evaluation factor corresponding to the v-th evaluation result, where u represents the u-th of the n secondary evaluation factors, v represents the v-th evaluation result in the set of evaluation levels, x represents the score value corresponding to the u-th secondary evaluation factor, the score value is determined by the evaluation criteria, a represents the mean of the normal distribution corresponding to the score value of the u-th secondary evaluation factor, and σ represents the standard deviation of the normal distribution corresponding to the score value of the u-th secondary evaluation factor.

[0110] Then, the processing equipment can generate a fuzzy relation matrix based on the secondary evaluation factors and their corresponding membership degrees.

[0111] In one possible implementation, the fuzzy relation matrix can be obtained using the following formula:

[0112]

[0113] Where R represents the fuzzy relation matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the set of evaluation levels, and r n Let r represent the set of membership degrees corresponding to the nth secondary evaluation factor. nm This represents the membership degree of the nth secondary evaluation factor to the mth evaluation result.

[0114] The processing device can then obtain an evaluation vector based on the fuzzy relation matrix and the first importance level. In one possible implementation, the processing device can obtain a fuzzy evaluation matrix based on the fuzzy relation matrix, where each element of the fuzzy evaluation matrix can be calculated using the following formula:

[0115]

[0116] Where m is the total number of elements in the fuzzy evaluation matrix, p represents the p-th element in the fuzzy evaluation matrix, i represents the i-th of the n secondary evaluation factors, and r ij w represents the membership degree of the i-th secondary evaluation factor to the j-th evaluation result. i Indicates the highest level of importance.

[0117] It is understandable that each secondary evaluation factor is preceded by a primary evaluation factor. The weights of primary evaluation factors can be different. For example, if the three primary evaluation factors are space size, cost, and construction period, in one possible implementation, space size > cost > construction period. This determines that the weight of space size is greater than the weight of cost, which is greater than the weight of construction period. The specific weight values ​​can be set according to the actual situation. When there are three primary evaluation factors, the processing device can combine the weights corresponding to the primary evaluation factors with the fuzzy evaluation matrix to obtain primary evaluation matrices corresponding to the three primary evaluation factors, namely B1, B2, and B3.

[0118] The evaluation vector can be represented by the following formula:

[0119]

[0120] Where B represents the evaluation vector, W represents the weights corresponding to the first-level evaluation factors, and B1, B2, and B3 represent the first-level evaluation matrices.

[0121] Finally, the processing equipment can obtain spatial impact indicators based on the weighted average principle using evaluation vectors.

[0122] S106: Determine the objective function based on safety indicators, spatial impact indicators, and the target dismantling and modification parts.

[0123] The processing equipment can determine the objective function based on safety indicators, spatial impact indicators, and the target dismantling and modification parts.

[0124] In one possible implementation, the objective function can be expressed by the following formula:

[0125] F(X) = [F1(X), F2(X)] T

[0126] Where F(X) represents the objective function, F1(X) represents the function corresponding to the safety index, and F2(X) represents the function corresponding to the spatial impact index.

[0127] Since the primary consideration during demolition is the impact of the demolition dimensions on the objective function, and these dimensions can be determined from the target demolition area, the demolition optimization design selects the demolition dimensions as the design variable x.i The dismantling dimensions can be expressed by the following formula:

[0128] X = [x1, x2, ..., x n ] T =[l1,l2,…,l n ,d1,d2,…,d n ] T

[0129] Where X is a variable in the objective function, l i (i = 1, 2, ..., n) represents the maximum allowable demolition length at different locations of the target demolition section. This means that the length of a single demolition should ideally be this maximum allowable value, and if the remaining length is insufficient, the length can be adjusted to below this value. i (i = 1, 2, ..., n) represents the maximum allowable demolition width at different locations of the target demolition section, and its meaning is the same as the maximum allowable demolition length.

[0130] S107: Optimize the dismantling and modification scheme based on the objective function, with the goal of minimizing safety indicators and spatial impact indicators.

[0131] The processing equipment can be optimized based on the objective function, with the goal of minimizing both safety and space impact indicators.

[0132] In one possible implementation, the optimization of the dismantling and modification scheme may also include constraints. These constraints may include dimensional constraints and maximum weight constraints of the target dismantling and modification part itself, as well as stress change constraints caused during the dismantling process. In one possible implementation, the expression for the dismantling dimensional parameter constraints is as follows:

[0133] E min ≤l i )d i )≤E max

[0134] Among them, l i (d i ) indicates the removal dimensions, E min E represents the minimum number of units to be demolished in a single operation. max This indicates the maximum number of units that can be demolished in a single operation.

[0135] The following example uses concrete as the material of the target demolition section. The expression for the demolition weight parameter constraint is as follows:

[0136]

[0137] Among them, G i(x) represents the weight of a single concrete block demolished in the demolition plan; G(x) is the maximum lifting weight of the gantry crane used in the construction, in kg; ρ is the density of the concrete, in kg / m³. i d i Indicates the dimensions to be removed.

[0138] The parameter constraint expression for the maximum tensile stress caused during the demolition process is as follows:

[0139] σ1(x)≤f t

[0140] Where σ1(x) represents the maximum tensile stress value of the pump station structure during the demolition calculation, f t This represents the design value of the axial tensile strength of concrete.

[0141] The parameter constraint expression for the maximum compressive stress caused during the demolition process is as follows:

[0142] σ3(x)≤f c

[0143] Where σ3(x) represents the maximum compressive stress value of the pump station structure during the demolition calculation, f c This represents the design value of the axial compressive strength of concrete.

[0144] The method provided in this application generates safety indices by acquiring stress and displacement data of the target demolition / modification section and determining weighting factors based on balancing structural bearing capacity and deformation capacity. This quantitative safety assessment method can more accurately reflect the safety of the demolition / modification scheme and significantly reduce potential structural safety problems during demolition. In contrast, existing technologies are relatively crude in their safety assessments and cannot fully reflect the potential risks in complex engineering projects. This application generates spatial impact indices by identifying multiple evaluation factors within the spatial constraints corresponding to the target demolition / modification section. These indices can quantify the impact of spatial constraints on the demolition / modification scheme during actual construction, thereby providing more targeted improvement suggestions. This is more scientific and objective than the more subjective spatial constraint considerations in existing technologies. This application clarifies the objective function for optimization, comprehensively considering both safety and spatial impact indices, ensuring that the optimization process not only focuses on safety but also takes into account spatial adaptability. This dual-objective optimization strategy significantly enhances the feasibility and practicality of the demolition / modification scheme, providing more comprehensive support for decision-making in complex construction environments.

[0145] This application also provides a method such as Figure 3 The diagram shows a structural design of a demolition and alteration scheme optimization device that takes into account space constraints. The device 300 includes the following modules:

[0146] The first acquisition module 301 is used to acquire stress data and displacement data of the target dismantling and modification part in the dismantling and modification scheme;

[0147] The weighting factor determination module 302 is used to determine the weighting factors of the stress data and the displacement data based on the load-bearing capacity and deformation capacity of the balanced structure of the target dismantled and modified part.

[0148] The safety index determination module 303 is used to generate a safety index based on the stress data, the displacement data and the weighting factor. The smaller the safety index, the safer the dismantling and modification scheme.

[0149] The evaluation factor determination module 304 is used to determine multiple evaluation factors of the demolition and modification scheme within the space constraints corresponding to the target demolition and modification part based on the demolition and modification scheme.

[0150] The spatial impact index determination module 305 is used to determine the spatial impact index based on the correspondence between each evaluation factor and the evaluation level. The smaller the spatial impact index, the less the demolition and modification plan is affected by spatial constraints.

[0151] The objective function determination module 306 is used to determine the objective function based on the safety index, the spatial impact index, and the target dismantling / modification portion.

[0152] The optimization module 307 is used to optimize the dismantling and modification scheme according to the objective function with the goal of minimizing the safety index and the spatial impact index.

[0153] The apparatus provided in this application generates safety indices by acquiring stress and displacement data of the target demolition / modification section and determining weighting factors based on balancing structural bearing capacity and deformation capacity. This quantitative safety assessment method can more accurately reflect the safety of the demolition / modification scheme and significantly reduce potential structural safety problems during demolition. In contrast, existing technologies are relatively crude in their safety assessments and cannot fully reflect the potential risks in complex engineering projects. This application generates spatial impact indices by identifying multiple evaluation factors within the spatial constraints corresponding to the target demolition / modification section. These indices can quantify the impact of spatial constraints on the demolition / modification scheme during actual construction, thereby providing more targeted improvement suggestions. This is more scientific and objective than the more subjective spatial constraint considerations in existing technologies. This application clarifies the objective function for optimization, comprehensively considering both safety and spatial impact indices, ensuring that the optimization process not only focuses on safety but also takes into account spatial adaptability. This dual-objective optimization strategy significantly enhances the feasibility and practicality of the demolition / modification scheme, providing more comprehensive support for decision-making in complex construction environments.

[0154] This application also provides an optimization device for a dismantling and modification scheme considering the impact of space constraints. The device includes a memory and a processor. The memory is used to store instructions or code, and the processor is used to execute the instructions or code to cause the device to perform the steps of the optimization method for a dismantling and modification scheme considering the impact of space constraints described in any embodiment of this application.

[0155] In practical applications, the computer-readable storage medium can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium.

[0156] Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0157] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0158] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0159] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0160] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate. The components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment solution according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0161] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for optimizing a demolition scheme taking into account the influence of spatial restrictions, characterized in that, The method comprises the following steps: obtaining stress data and displacement data of a target demolition part in a demolition scheme; determining a weight factor of the stress data and the displacement data based on the balance structure bearing capacity and deformation capacity of the target demolition part; generating a safety index based on the stress data, the displacement data and the weight factor, wherein the smaller the safety index is, the safer the demolition scheme is; determining a plurality of evaluation factors of the demolition scheme within a space limit corresponding to the target demolition part according to the demolition scheme; determining a space influence index based on a corresponding relationship between each evaluation factor and an evaluation level, wherein the smaller the space influence index is, the smaller the influence of the space limit on the demolition scheme is; determining a target function based on the safety index, the space influence index and the target demolition part; optimizing the demolition scheme according to the target function with the smallest safety index and the smallest space influence index as the goal; the step of determining a plurality of evaluation factors of the demolition scheme within a space limit corresponding to the target demolition part according to the demolition scheme comprises: determining a plurality of primary evaluation factors of the demolition scheme within the space limit corresponding to the target demolition part according to the demolition scheme, wherein each primary evaluation factor comprises a plurality of secondary evaluation factors; the primary evaluation factors comprise size, cost and construction period; the size primary evaluation factor comprises three secondary evaluation factors of length, width and volume of single demolition; the cost primary evaluation factor comprises three secondary evaluation factors of hoisting and cutting cost, stacking and transportation cost and secondary treatment cost; the construction period primary evaluation factor comprises two secondary evaluation factors of construction step and construction period extension caused by secondary treatment.

2. The method of claim 1, wherein, the step of determining a space influence index based on a corresponding relationship between each evaluation factor and an evaluation level comprises: determining an evaluation level set based on the demolition scheme, wherein the evaluation level set comprises a plurality of evaluation results of the evaluation factors; determining a first importance degree between a plurality of primary evaluation factors within the space limit corresponding to the target demolition part; determining an evaluation standard corresponding to each secondary evaluation factor based on the demolition scheme; obtaining a membership degree of each secondary evaluation factor corresponding to each evaluation result in the evaluation level set by using a normal distribution type membership function based on the evaluation standard; generating a fuzzy relation matrix based on the secondary evaluation factors and the corresponding membership degrees; obtaining an evaluation vector based on the fuzzy relation matrix and the first importance degree; obtaining a space influence index based on the evaluation vector by using a weighted average principle.

3. The method of claim 2, wherein, the first importance degree is obtained by the following method: generating a judgment matrix based on the primary evaluation factors and the secondary evaluation factors; the judgment matrix is generated by the following formula: A = (a ij ) n×n wherein A represents the judgment matrix, i represents the i-th of the n secondary evaluation factors, j represents the j-th of the n secondary evaluation factors, a represents the a-th primary evaluation factor, a ij represents the comparison result of the importance of the i-th secondary evaluation factor and the j-th secondary evaluation factor with respect to the a-th primary evaluation factor; the first importance degree is obtained by the following formula wherein w i represents the first importance degree, k represents the kth in the n secondary evaluation factors, i represents the ith in the n secondary evaluation factors, represents the feature vector corresponding to the ith secondary evaluation factor; the eigenvector corresponding to the ith primary evaluation factor is calculated by the following formula: wherein, represents the eigenvector corresponding to the i-th secondary evaluation factor, m i represents the product of the elements of each row of the judgment matrix A corresponding to the i-th secondary evaluation factor.

4. The method of claim 3, wherein, the membership degree is obtained by the following formula: wherein r u，v represents the membership degree of the u-th secondary evaluation factor corresponding to the v-th evaluation result, u represents the u-th of the n secondary evaluation factors, v represents the v-th evaluation result in the evaluation grade set, x represents the score value corresponding to the u-th secondary evaluation factor, which is determined by the evaluation standard, a represents the normal distribution mean value corresponding to the score value of the u-th secondary evaluation factor, and σ represents the normal distribution standard deviation corresponding to the score value of the u-th secondary evaluation factor.

5. The method of claim 4, wherein, the fuzzy relation matrix is obtained by the following formula: Wherein, R represents the fuzzy relation matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the evaluation grade set, r n represents the membership set corresponding to the nth secondary evaluation factor, r nm represents the membership degree corresponding to the nth secondary evaluation factor corresponding to the mth evaluation result.

6. A device for optimizing a demolition scheme taking into account the influence of spatial restrictions, characterized in that The method comprises the following steps: a first obtaining module is configured to obtain stress data and displacement data of a target demolition part in a demolition scheme; a weight factor determination module configured to determine weight factors of the stress data and the displacement data based on a balanced structural bearing capacity and a deformation capacity of the target demolition part; a safety index determination module configured to generate a safety index based on the stress data, the displacement data and the weight factors, wherein the smaller the safety index is, the safer the demolition scheme is; an evaluation factor determination module configured to determine a plurality of evaluation factors of the demolition scheme according to the demolition scheme within the spatial limit corresponding to the target demolition part; the determining a plurality of evaluation factors of the demolition scheme according to the demolition scheme within the spatial limit corresponding to the target demolition part comprises: determining a plurality of primary evaluation factors of the demolition scheme according to the demolition scheme within the spatial limit corresponding to the target demolition part, wherein each of the primary evaluation factors comprises a plurality of secondary evaluation factors; the primary evaluation factors comprise size, cost and duration; the size primary evaluation factor comprises three secondary evaluation factors of length, width and volume of single demolition; the cost primary evaluation factor comprises three secondary evaluation factors of hoisting and cutting cost, stacking and transportation cost and secondary treatment cost; the duration primary evaluation factor comprises two secondary evaluation factors of demolition construction step and duration extension caused by secondary treatment; a spatial impact index determination module configured to determine a spatial impact index based on a corresponding relationship between each evaluation factor and an evaluation grade, wherein the smaller the spatial impact index is, the smaller the influence of the spatial limit on the demolition scheme is; a target function determination module configured to determine a target function based on the safety index, the spatial impact index and the target demolition part; an optimization module configured to optimize the demolition scheme according to the target function with the smallest safety index and the smallest spatial impact index as the target.

7. An electronic device, comprising: comprise a memory and a processor, wherein: the memory is configured to save a computer program; the processor is configured to execute the computer program to implement the demolition scheme optimization method considering the influence of spatial limit according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, a computer program is saved, wherein the computer program is executed by a processor to implement the demolition scheme optimization method considering the influence of spatial limit according to any one of claims 1-5.

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