Disassembly and modification scheme optimization method and device considering influence of space limitation

Abstract

The invention provides a disassembly and reformation scheme optimization method and device considering the influence of space limitation. The method comprises the following steps: acquiring stress data and displacement data of a target disassembly and reformation part in a disassembly and reformation scheme; and weight factors of the stress data and the displacement data are determined based on the bearing capacity and the deformation capacity of the balance structure of the target dismounting and changing part. And generating a safety index based on the stress data, the displacement data and the weight factor. And determining a plurality of evaluation factors of the disassembly and reformation scheme in the space limitation corresponding to the target disassembly and reformation part according to the disassembly and reformation scheme. And determining a spatial influence index based on the corresponding relationship between each evaluation factor and the evaluation grade. And determining a target function based on the safety index, the space influence index and the target disassembly and change part. And with minimization of a safety index and minimization of a space influence index as a target, optimizing the disassembly and modification scheme according to a target function. According to the method provided by the invention, the disassembly and modification scheme can be comprehensively optimized under the condition of considering the influence of space limitation.

Description

Technical Field

[0001] The present application relates to the field of civil engineering technology, and in particular to a method and device for optimizing a demolition and reconstruction plan taking into account the influence of space limitations. Background Art

[0002] With the continuous development of science and technology, the civil engineering industry has also made great progress. With the gradual aging of old facilities and the continuous application of new technologies, partial demolition and reconstruction of existing projects are becoming more and more frequent. However, due to the aging of materials, changes in the structural force system, construction disturbances, etc., the construction difficulty and danger of demolition and reconstruction projects are even no less than those of new construction projects in some aspects. In the specific demolition and reconstruction process, especially the protective demolition involving some concrete structures, it is different from new construction projects. On the one hand, after the removal of some components, the original force system of the structure changes, and the disturbance caused by the demolition and reconstruction causes 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-scale construction machinery and equipment and vehicles for transportation. Some super-high, overweight and super-long components will encounter challenges of site space limitations during demolition, hoisting and transportation. Therefore, safety and space restrictions require that the demolition size be as small as possible. But on the other hand, the smaller the demolition size, the higher the cost of cutting the structure, hoisting and transportation times, and the longer the construction period. The relevant technology can only guarantee the balance between safety and space limitations and cost and construction period to a certain extent, but cannot find the best balance point between safety and space limitations and cost and construction period.

[0003] Therefore, how to optimize the demolition and modification plan so that the improved demolition and modification plan can find an excellent balance between safety and space constraints and cost and construction period has become a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0004] Based on the above problems, the present application provides a method and device for optimizing a demolition and modification plan that takes into account the impact of space limitations, so as to balance safety and space limitations with cost and construction period.

[0005] The present application provides a method for optimizing a demolition and modification plan taking into account the influence of space limitations, the method comprising the following steps:

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

[0007] Determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part;

[0008] Generate a safety index based on the stress data, the displacement data and the weight factor, the smaller the safety index is, the safer the demolition and modification plan is;

[0009] Determining, according to the demolition and modification plan, a plurality of evaluation factors of the demolition and modification plan within the space limit corresponding to the target demolition and modification part;

[0010] Determine a space impact index based on the corresponding relationship between each evaluation factor and the evaluation level, the smaller the space impact index is, the less the demolition and reconstruction plan is affected by space restrictions;

[0011] Determine an objective function based on the safety index, the space impact index and the target demolition and modification part;

[0012] With the goal of minimizing the safety index and the space impact index, the demolition and modification plan is optimized according to the objective function.

[0013] In a possible implementation, the multiple evaluation factors of determining the demolition and modification scheme within the space limit corresponding to the target demolition and modification part according to the demolition and modification scheme include:

[0014] According to the demolition and modification plan, a plurality of primary evaluation factors of the demolition and modification plan are determined within the space limit corresponding to the target demolition and modification part, and each of the primary evaluation factors includes a plurality of secondary evaluation factors.

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

[0016] Determining an evaluation level set based on the demolition and reconstruction plan, wherein the evaluation level set includes multiple evaluation results of the evaluation factors;

[0017] Determining the first importance of a plurality of first-level evaluation factors within the space limit corresponding to the target demolition and modification part;

[0018] Determine the evaluation criteria corresponding to each of the secondary evaluation factors based on the demolition and reconstruction plan;

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

[0020] Generate a fuzzy relationship matrix based on the secondary evaluation factors and the corresponding membership degrees;

[0021] Obtaining an evaluation vector based on the fuzzy relationship matrix and the first importance level;

[0022] The spatial impact index is obtained through the evaluation vector based on the weighted average principle.

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

[0024] Generate a judgment matrix based on the primary evaluation factors and the secondary evaluation factors;

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

[0026] A=(a ij ) n×n

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

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

[0029]

[0030] Among them, w i represents the first importance, k represents the kth of n secondary evaluation factors, i represents the ith of n secondary evaluation factors, Represents the eigenvector corresponding to the i-th secondary evaluation factor;

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

[0032]

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

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

[0035]

[0036] Among them, m i represents the product of each row element corresponding to the i-th secondary evaluation factor in the judgment matrix A, i represents the i-th among n secondary evaluation factors, j represents the j-th among n secondary evaluation factors, a ij It represents the comparison result of the importance of the i-th secondary evaluation factor and the j-th secondary evaluation factor relative to the a-th primary evaluation factor.

[0037] In a possible implementation, the degree of membership is obtained by the following formula:

[0038]

[0039] Among them, r u , v represents the membership of the u-th secondary evaluation factor corresponding to the v-th evaluation result, u represents the u-th among 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, and the score value is determined by the evaluation standard, 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 a possible implementation, the fuzzy relationship matrix is ​​obtained by the following formula:

[0041]

[0042] Where R represents the fuzzy relationship matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the evaluation level set, and r n represents the membership set corresponding to the nth secondary evaluation factor, r nm Indicates the membership degree of the nth secondary evaluation factor corresponding to the mth evaluation result.

[0043] The present application also provides a demolition and modification scheme optimization device that takes into account the influence of space limitations, and the device includes the following modules:

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

[0045] A weight factor determination module, used to determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part;

[0046] A safety index determination module, used to generate 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 and modification scheme is;

[0047] An evaluation factor determination module, configured to determine a plurality of evaluation factors of the demolition and modification scheme within a space limit corresponding to the target demolition and modification part according to the demolition and modification scheme;

[0048] A space impact index determination module, used to determine the space impact index based on the corresponding relationship between each evaluation factor and the evaluation level, the smaller the space impact index is, the less the demolition and modification plan is affected by space restrictions;

[0049] An objective function determination module, used to determine an objective function based on the safety index, the space impact index and the target demolition and modification part;

[0050] The optimization module is used to optimize the demolition and modification plan according to the objective function with the goal of minimizing the safety index and the space impact index.

[0051] The present application also provides an electronic device, the electronic device comprising a processor and a memory:

[0052] The memory is used to store a computer program and transmit the computer program to the processor;

[0053] The processor is used to execute the steps of the above-mentioned demolition and modification plan optimization method considering the influence of space limitations according to the instructions in the computer program.

[0054] The present application also provides a computer-readable storage medium, which is used to store a computer program. When the computer program is executed by an electronic device, the steps of the above-mentioned method for optimizing the demolition and modification plan considering the influence of space limitations are implemented.

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

[0056] The method provided in the present application generates a safety index by obtaining the stress data and displacement data of the target demolition and modification part, and determining the weight factor based on the balanced structural bearing capacity and deformation capacity. This quantitative safety assessment method can more accurately reflect the safety of the demolition and modification scheme, and significantly reduce the structural safety problems that may occur during the demolition process. In contrast, the existing technology is relatively extensive in safety assessment, and it is difficult to fully reflect the potential risks in complex projects. The present application generates a spatial impact index by determining multiple evaluation factors within the spatial restrictions corresponding to the target demolition and modification part of the demolition and modification scheme. This index can quantify the impact of spatial restrictions on the demolition and modification scheme in actual construction, thereby providing more targeted improvement suggestions. This point is more scientific and objective than the more subjective spatial restriction considerations in the prior art. The present application clarifies the objective function of optimization, comprehensively considers the safety index and the spatial impact index, and ensures 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 and modification scheme, and provides more comprehensive support for decision-making in complex construction environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0058] Figure 1 A flowchart of a method for optimizing a demolition and modification plan taking into account the influence of space limitations provided in an embodiment of the present application;

[0059] Figure 2 A schematic diagram of evaluation factors within space limitations provided in an embodiment of the present application;

[0060] Figure 3 A schematic diagram of the structure of a demolition and modification scheme optimization device taking into account the influence of space limitations provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] As described above, in the specific demolition and reconstruction process, especially the protective demolition involving some concrete structures, it is different from the new construction project. On the one hand, after the demolition of some components, the original force system of the structure changes, and the disturbance caused by the demolition and reconstruction causes the structural stress to change, which is very likely to cause safety and stability problems; at the same time, due to the limited internal space, it is inconvenient to arrange large-scale construction machinery and equipment and vehicles for transportation. Some super-high, overweight and over-long components will encounter challenges of site space limitations during demolition, hoisting and transportation. Therefore, the restrictions on safety and space require that the demolition size is as small as possible. But on the other hand, the smaller the demolition size, the higher the cost of cutting the structure, hoisting and transportation times, and the longer the construction period. The relevant technology can only guarantee the balance between safety and space restrictions and cost and construction period to a certain extent, and cannot find the best balance between safety and space restrictions and cost and construction period.

[0062] After research, it was found that compared with the overly subjective spatial impact and safety evaluation, quantifying spatial impact and safety can more objectively evaluate the demolition and reconstruction plan. The spatial impact index is incorporated into the optimization target through the fuzzy evaluation method, and the requirements such as safety and component size are considered in the constraint equation to ensure that the demolition and reconstruction plan can not only effectively utilize the limited space, but also meet the construction safety, progress and cost requirements, so as to improve the rationality and applicability of the plan.

[0063] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] It is understandable that the method provided in the present application can be applied to a processing device, which is a processing device that can determine security indicators, such as a terminal device or server that can determine spatial impact indicators. The method provided in the present application can be executed independently by a terminal device or a server, or it can be applied to a network scenario in which a terminal device and a server communicate, and is executed by the cooperation of a terminal device and a server. Among them, the terminal device can be a computer, a mobile phone and other devices. The server can be understood as an application server or a Web server. In actual deployment, the server can be a stand-alone server or a cluster server.

[0065] Figure 1 A flowchart of a method for optimizing a demolition and modification scheme taking into account the influence of space limitations provided in this application, the method comprising the following steps:

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

[0067] The processing equipment can obtain the stress data and displacement data of the target demolition and modification part in the demolition and modification plan.

[0068] It can be understood that the demolition and modification plan includes information such as the structure of the target demolition and modification part, the force system of the target demolition and modification part, and the demolition and modification method of the target demolition and modification part. The processing equipment can obtain the stress data and displacement data of the target demolition and modification part based on this information.

[0069] For example, n key position units can be selected for the target demolition and modification part, and the processing equipment can obtain the stress data and displacement data of these units. Furthermore, the demolition and modification plan includes the stress data of the target demolition and modification part before demolition. The demolition and modification plan also includes m demolition and modification steps for the target demolition and modification part. The processing equipment can first determine the stress change rate between two adjacent steps in the m demolition and modification steps, and then obtain the stress data through the stress change rate. Next, take the maximum stress as an example to illustrate. The change rate of the maximum stress can be calculated by the following formula:

[0070]

[0071] in, represents the rate of change of the maximum stress, n represents the n key position units corresponding to the target demolition and modification part, m represents m demolition and modification steps, It represents the stress change rate of the i-th key position corresponding to the j-th removal step. The stress change rate of the i-th key position corresponding to the j-th removal step can be calculated by the following formula:

[0072]

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

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

[0075] It can be understood that the demolition and modification plan may include a structural comprehensive displacement for demolishing the target demolition and modification part, and the displacement data can be determined by the structural comprehensive displacement of the target demolition and modification part in the demolition and modification plan.

[0076] S102: Determine weight factors of stress data and displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part.

[0077] The processing device can determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part.

[0078] It can be understood that the balanced structural bearing capacity and deformation capacity of the target demolished and modified part are related to the properties of the target demolished and modified part. For example, if the target demolished and modified part is a supply-like structure made of steel, the balanced structural bearing capacity and deformation capacity of the target demolished and modified part will be determined based on the supply-like structure made of steel.

[0079] In one possible implementation, the processing device may regard stress and displacement as having equal weights. In another possible implementation, the processing device may set corresponding weights for stress and displacement according to an actual optimization method.

[0080] S103: Generate a safety index based on the stress data, the displacement data and the weight factor.

[0081] The processing device can generate a safety index based on the stress data, the displacement data and the weight factor. The smaller the safety index is, the safer the dismantling and modification plan is.

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

[0083]

[0084] Among them, SI represents the safety index, represents the rate of change of maximum stress, represents the rate of change of minimum stress, Represents displacement data.

[0085] S104: Determine multiple evaluation factors of the demolition and reconstruction plan within the space limit corresponding to the target demolition and reconstruction part according to the demolition and reconstruction plan.

[0086] The processing device can determine multiple evaluation factors of the demolition and modification plan within the space limit corresponding to the target demolition and modification part according to the demolition and modification plan.

[0087] In a possible implementation, the processing device may determine a plurality of primary evaluation factors of the demolition and modification plan within a space restriction corresponding to the target demolition and modification part according to the demolition and modification plan, and each primary evaluation factor includes a plurality of secondary evaluation factors.

[0088] Specifically, the processing equipment can decompose the space restrictions into different components with the help of the hierarchical analysis method. The main influencing factors for implementing the demolition plan under space restrictions are considered as three primary evaluation factors: size, cost and construction period. Among them, the size factor mainly considers the three secondary evaluation factors of the length, width and volume of a single demolition; the cost factor mainly considers the three secondary evaluation factors of hoisting and cutting, stacking and transportation, and secondary processing costs; the construction period factor mainly considers the two secondary evaluation factors of the demolition construction steps and the extension of the construction period caused by secondary processing.

[0089] Figure 2 A schematic diagram of evaluation factors within space limitations provided in an embodiment of the present application.

[0090] S105: Determine the spatial impact index based on the corresponding relationship between each evaluation factor and the evaluation level.

[0091] The processing device determines a space impact index based on the corresponding relationship between each evaluation factor and the evaluation level. The smaller the space impact index is, the less the demolition and modification plan is affected by space limitations.

[0092] In a possible implementation, the processing device may determine an evaluation level set based on the demolition and modification plan, where the evaluation level set includes multiple evaluation results of 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" means that the degree of impact of space restrictions under the demolition and modification plan is the smallest.

[0093] Afterwards, the processing device can determine the first importance between multiple first-level evaluation factors within the space limit corresponding to the target demolition and modification part. Specifically, the processing device can generate a judgment matrix based on the first-level evaluation factors and the second-level evaluation factors. The judgment matrix can be generated by the following formula:

[0094] A=(a ij ) n×n

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

[0096] The first importance can be obtained by the following formula:

[0097]

[0098] Among them, w i represents the first importance, k represents the kth of n secondary evaluation factors, i represents the ith of n secondary evaluation factors, Represents the eigenvector corresponding to the i-th secondary evaluation factor.

[0099] The eigenvector corresponding to the i-th first-level evaluation factor can be calculated by the following formula:

[0100]

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

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

[0103]

[0104] Among them, m i represents the product of each row element corresponding to the i-th secondary evaluation factor in the judgment matrix A, i represents the i-th among n secondary evaluation factors, j represents the j-th among n secondary evaluation factors, a ijIt represents the comparison result of the importance of the i-th secondary evaluation factor and the j-th secondary evaluation factor relative to the a-th primary evaluation factor.

[0105] Afterwards, the processing device can determine the evaluation criteria corresponding to each secondary evaluation factor based on the demolition and modification plan. It is understandable that there are different evaluation criteria for different secondary evaluation factors. Taking the single demolition length as an example, when only the single demolition length is considered, the shorter the single demolition length, the higher the evaluation.

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

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

[0108]

[0109] Among them, r u , v represents the membership of the u-th secondary evaluation factor corresponding to the v-th evaluation result, u represents the u-th among 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, and the score value is determined by the evaluation standard, 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] Afterwards, the processing device may generate a fuzzy relationship matrix based on the secondary evaluation factors and the corresponding membership degrees.

[0111] In a possible implementation, the fuzzy relationship matrix can be obtained by the following formula:

[0112]

[0113] Where R represents the fuzzy relationship matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the evaluation level set, and r n represents the membership set corresponding to the nth secondary evaluation factor, r nm Indicates the membership degree of the nth secondary evaluation factor corresponding to the mth evaluation result.

[0114] Then, the processing device may obtain an evaluation vector based on the fuzzy relationship matrix and the first importance. In a possible implementation, the processing device may obtain a fuzzy evaluation matrix based on the fuzzy relationship matrix, and each element in the fuzzy evaluation matrix may be calculated by the following formula:

[0115]

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

[0117] It can be understood that the upper layer of each secondary evaluation factor is a primary evaluation factor, and the weights of the primary evaluation factors can be different. For example, the three primary evaluation factors are space size, cost, and construction period. In a possible implementation, space size>cost>construction period, so that the weight of space size is greater than the weight of cost and greater than the weight of construction period. The specific weight value 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 the primary evaluation matrix corresponding to the three primary evaluation factors, which are B1, B2, and B3 respectively.

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

[0119]

[0120] Among them, B represents the evaluation vector, W represents the weight corresponding to the first-level evaluation factor, and B1, B2 and B3 represent the first-level evaluation matrix.

[0121] Finally, the processing device can obtain the spatial impact index based on the weighted average principle through the evaluation vector.

[0122] S106: Determine the objective function based on the safety index, the space impact index and the target demolition and modification part.

[0123] The processing device can determine the objective function based on the safety index, the space impact index and the target demolition and modification part.

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

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

[0126] Among them, 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] When dismantling, the main consideration is the impact of the dismantling size on the objective function. The dismantling size can be determined by the objective dismantling part. Therefore, the dismantling size is selected as the design variable x in the optimal design of the dismantling scheme.i , the demolition size can be expressed by the following formula:

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

[0129] Among them, X is the variable in the objective function, l i (i=1,2,…,n) represents the maximum allowable demolition length at different positions of the target demolition and modification part, which means that the single demolition length should be taken as far as possible to the maximum allowable value. At the same time, if the remaining length is insufficient, the length can be adjusted to be below this value. i (i=1,2,…,n) represents the maximum allowable demolition width at different positions of the target demolition and modification part, and its meaning is the same as the maximum allowable demolition length.

[0130] S107: With the goal of minimizing the safety index and the space impact index, optimize the demolition and modification plan according to the objective function.

[0131] The processing equipment can optimize the dismantling and modification plan based on the objective function, with the goal of minimizing safety indicators and minimizing space impact indicators.

[0132] In a possible implementation, the optimization of the demolition and modification scheme may further include constraints, which may include the size constraint and maximum weight constraint of the target demolition and modification part itself and the stress change constraint caused by the demolition process. In a possible implementation, the demolition size parameter constraint expression is as follows:

[0133] E min ≤l i )d i )≤E max

[0134] Among them, l i (d i ) represents the demolition size, E min Indicates the minimum number of units to be removed at a time, E max Indicates the maximum number of units that can be removed at a time.

[0135] Next, we take the material of the target demolition part as concrete as an example, and the demolition weight parameter constraint expression is as follows:

[0136]

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

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

[0139] σ1(x)≤f t

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

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

[0142] σ3(x)≤f c

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

[0144] The method provided in the present application generates a safety index by obtaining the stress data and displacement data of the target demolition and modification part, and determining the weight factor based on the balanced structural bearing capacity and deformation capacity. This quantitative safety assessment method can more accurately reflect the safety of the demolition and modification scheme, and significantly reduce the structural safety problems that may occur during the demolition process. In contrast, the existing technology is relatively extensive in safety assessment, and it is difficult to fully reflect the potential risks in complex projects. The present application generates a spatial impact index by determining multiple evaluation factors within the spatial restrictions corresponding to the target demolition and modification part of the demolition and modification scheme. This index can quantify the impact of spatial restrictions on the demolition and modification scheme in actual construction, thereby providing more targeted improvement suggestions. This point is more scientific and objective than the more subjective spatial restriction considerations in the prior art. The present application clarifies the objective function of optimization, comprehensively considers the safety index and the spatial impact index, and ensures 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 and modification scheme, and provides more comprehensive support for decision-making in complex construction environments.

[0145] The present application also provides a Figure 3 The schematic diagram of the structure of the demolition and modification scheme optimization device considering the influence of space limitation is shown, and the demolition and modification scheme optimization device considering the influence of space limitation 300 includes the following modules:

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

[0147] A weight factor determination module 302 is used to determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part;

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

[0149] An evaluation factor determination module 304 is used to determine a plurality of evaluation factors of the demolition and modification scheme within the space limit corresponding to the target demolition and modification part according to the demolition and modification scheme;

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

[0151] An objective function determination module 306, configured to determine an objective function based on the safety index, the space impact index and the target demolition and modification part;

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

[0153] The device provided in the present application generates a safety index by obtaining the stress data and displacement data of the target demolition and modification part, and determining the weight factor based on the load-bearing capacity and deformation capacity of the balanced structure. This quantitative safety assessment method can more accurately reflect the safety of the demolition and modification scheme, and significantly reduce the structural safety problems that may occur during the demolition process. In contrast, the existing technology is relatively extensive in safety assessment, and it is difficult to fully reflect the potential risks in complex projects. The present application generates a spatial impact index by determining multiple evaluation factors within the spatial restrictions corresponding to the target demolition and modification part of the demolition and modification scheme. This index can quantify the impact of spatial restrictions on the demolition and modification scheme in actual construction, thereby providing more targeted improvement suggestions. This point is more scientific and objective than the more subjective spatial restriction considerations in the prior art. The present application clarifies the objective function of optimization, comprehensively considers the safety index and the spatial impact index, and ensures 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 and modification scheme, and provides more comprehensive support for decision-making in complex construction environments.

[0154] An embodiment of the present application also provides a demolition and modification plan optimization device that takes into account the influence of space limitations, wherein the device includes a memory and a processor, the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device performs the steps of the demolition and modification plan optimization method that takes into account the influence of space limitations described in any embodiment of the present application.

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

[0156] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0157] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0158] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

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

[0160] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely schematic, in which the unit described as a separate component may or may not be physically separated, and the component prompted as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0161] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for optimizing a demolition and modification plan considering the influence of space limitations, characterized in that: include: Obtain stress data and displacement data of the target demolition and modification part in the demolition and modification plan; Determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part; Generate a safety index based on the stress data, the displacement data and the weight factor, the smaller the safety index is, the safer the demolition and modification plan is; Determining, according to the demolition and modification plan, a plurality of evaluation factors of the demolition and modification plan within the space limit corresponding to the target demolition and modification part; Determine a space impact index based on the corresponding relationship between each evaluation factor and the evaluation level, the smaller the space impact index is, the less the demolition and reconstruction plan is affected by space restrictions; Determine an objective function based on the safety index, the space impact index and the target demolition and modification part; With the goal of minimizing the safety index and the space impact index, the demolition and modification plan is optimized according to the objective function.

2. The method according to claim 1, characterized in that The multiple evaluation factors for determining the demolition and modification scheme within the space limit corresponding to the target demolition and modification part according to the demolition and modification scheme include: According to the demolition and modification plan, a plurality of primary evaluation factors of the demolition and modification plan are determined within the space limit corresponding to the target demolition and modification part, and each of the primary evaluation factors includes a plurality of secondary evaluation factors.

3. The method according to claim 2, characterized in that The determining of the spatial impact index based on the corresponding relationship between each evaluation factor and the evaluation level includes: Determining an evaluation level set based on the demolition and reconstruction plan, wherein the evaluation level set includes multiple evaluation results of the evaluation factors; Determining the first importance of a plurality of first-level evaluation factors within the space limit corresponding to the target demolition and modification part; Determine the evaluation criteria corresponding to each of the secondary evaluation factors based on the demolition and reconstruction plan; Based on the evaluation criteria, a normal distribution membership function is used to obtain the membership of each of the secondary evaluation factors corresponding to each evaluation result in the evaluation grade set; Generate a fuzzy relationship matrix based on the secondary evaluation factors and the corresponding membership degrees; Obtaining an evaluation vector based on the fuzzy relationship matrix and the first importance level; The spatial impact index is obtained through the evaluation vector based on the weighted average principle.

4. The method according to claim 1, characterized in that: The first importance is obtained by the following method: Generate 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 Among them, A represents the judgment matrix, i represents the i-th of n secondary evaluation factors, j represents the j-th of n secondary evaluation factors, a represents the a-th primary evaluation factor, and a ij It represents the comparison result of the importance of the i-th secondary evaluation factor and the j-th secondary evaluation factor relative to the a-th primary evaluation factor; The first importance is obtained by the following formula Among them, w i represents the first importance, k represents the kth of n secondary evaluation factors, i represents the ith of n secondary evaluation factors, Represents the eigenvector corresponding to the i-th secondary evaluation factor; The characteristic vector corresponding to the i-th primary evaluation factor is calculated by the following formula: in, represents the eigenvector corresponding to the i-th secondary evaluation factor, m i represents the product of each row element corresponding to the i-th secondary evaluation factor in the judgment matrix A; The product of each row element corresponding to the i-th secondary evaluation factor in the judgment matrix A is obtained by the following formula: Among them, m i represents the product of each row element corresponding to the i-th secondary evaluation factor in the judgment matrix A, i represents the i-th among n secondary evaluation factors, j represents the j-th among n secondary evaluation factors, a ij It represents the comparison result of the importance of the i-th secondary evaluation factor and the j-th secondary evaluation factor relative to the a-th primary evaluation factor.

5. The method according to claim 4, characterized in that The membership degree is obtained by the following formula: Among them, r u，v represents the membership of the u-th secondary evaluation factor corresponding to the v-th evaluation result, u represents the u-th among 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, and the score value is determined by the evaluation standard, 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.

6. The method according to claim 5, characterized in that The fuzzy relationship matrix is ​​obtained by the following formula: Where R represents the fuzzy relationship matrix, n is the total number of secondary evaluation factors, m represents the total number of evaluation results in the evaluation level set, and r n represents the membership set corresponding to the nth secondary evaluation factor, r nm Indicates the membership degree of the nth secondary evaluation factor corresponding to the mth evaluation result.

7. A demolition and modification scheme optimization device considering the influence of space limitations, characterized in that: include: The first acquisition module is used to acquire stress data and displacement data of the target demolition and modification part in the demolition and modification plan; A weight factor determination module, used to determine the weight factors of the stress data and the displacement data based on the balanced structural bearing capacity and deformation capacity of the target demolished and modified part; A safety index determination module, used to generate 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 and modification scheme is; An evaluation factor determination module, configured to determine a plurality of evaluation factors of the demolition and modification scheme within a space limit corresponding to the target demolition and modification part according to the demolition and modification scheme; A space impact index determination module, used to determine the space impact index based on the corresponding relationship between each evaluation factor and the evaluation level, the smaller the space impact index is, the less the demolition and modification plan is affected by space restrictions; An objective function determination module, used to determine an objective function based on the safety index, the space impact index and the target demolition and modification part; The optimization module is used to optimize the demolition and modification plan according to the objective function with the goal of minimizing the safety index and the space impact index.

8. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store the computer program; The processor is used to execute the computer program to implement the method for optimizing the demolition and modification plan taking into account the influence of space limitations as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the method for optimizing a demolition and modification plan taking into account the influence of space limitations as described in any one of claims 1 to 6 is implemented.

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