Intelligent optimization design and analysis system for circular cable-supported lattice structure and its application

Abstract

The present invention relates to the technical field of annular cable-supported grid structure, and specifically discloses an intelligent optimization design and analysis system and application of cables of annular cable-supported grid structure, which specifically includes: a data input module, a cable prestress optimization analysis module, a structural load analysis module, an engineering cost calculation module and a specification parameter output module; the data input module: inputs the specification parameters of the annular cable and radial cable, as well as the structural information, the dead load and the dead load information; the cable prestress optimization analysis module: receives the data provided by the input module, adopts the finite element method, and combines with the intelligent optimization algorithm to optimize and analyze the prestress of the annular cable and radial cable. Thus, the intelligent optimization design and analysis of the cables of the annular cable-supported grid structure is realized, and the cable specification parameters and prestress combination with the lowest cost can be found under the premise of meeting the structural load capacity. This system can greatly improve the efficiency and accuracy of structural design and reduce engineering costs.

Description

Technical Field

[0001] The present invention relates to the technical field of annular cable-supported grid structures, and in particular to an intelligent optimization design and analysis system for annular cable-supported grid structure cables and applications thereof. Background Art

[0002] Annular cable-supported grid structure: the ring truss with greater rigidity is supported on the inclined column, the radial cables and the annular cables form a cable net system, and the upper steel structure is connected to the cable net through vertical struts to form an annular cable-supported grid structure;

[0003] However, under the action of dead load and deadweight load, the structure should achieve the following goals: the inclined columns under the ring truss are in an axial stress state, and the vertical displacement of the structure is close to zero. To achieve the above two goals, it is necessary to determine reasonable prestressing parameters of the annular cable and radial cable. At the same time, the cost of the annular cable and radial cable accounts for a large proportion of the structural cost. It is particularly important to reduce the specifications of the annular cable and radial cable as much as possible while ensuring the overall structural load, thereby reducing the engineering cost;

[0004] In view of this, we proposed an intelligent optimization design and analysis system for annular cable-supported grid structure cables and its application. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent optimization design and analysis system for annular cable-supported grid structure cables and its application to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent optimization design and analysis system for cables of annular cable-supported grid structures, which specifically includes: a data input module, a cable prestress optimization analysis module, a structural load analysis module, an engineering cost calculation module, and a specification parameter output module; the data input module: inputs the specification parameters of the annular cables and radial cables, as well as the structural information, dead load, and dead load information; the cable prestress optimization analysis module: receives the data provided by the input module, and optimizes and analyzes the prestress of the annular cables and radial cables by using the finite element method and combining with the intelligent optimization algorithm; the structural load analysis module: uses the finite element method to calculate the structural bearing capacity of the structure under the action of the optimized annular cables and radial cables prestress, and compares it with the structural bearing capacity limit required by the design;

[0008] Engineering cost calculation module: Calculate the engineering cost values ​​of the annular cables and radial cables according to the optimization results, and obtain the lowest engineering cost value through intelligent optimization algorithm;

[0009] Specification parameter output module: outputs the optimized specification parameters of the annular cable and radial cable as well as the prestress of the annular cable and radial cable.

[0010] As a further solution of the present invention: the specific process of the cable prestressing optimization analysis module is:

[0011] Cable prestress optimization analysis module: input the prestress of the annular cable and radial cable, and simultaneously input the structural information, dead load and self-weight load information, calculate and output the vertical displacement of the structural control point through the finite element method, and output the angle between the resultant force of the inclined column and the axial direction;

[0012] It should be noted that the prestress of the annular cable and radial cable input in the first calculation can be taken as zero;

[0013] The angle between the resultant force of the inclined column and the axial direction is marked as the angle to be compared, and the comparison angle is compared with the comparison angle, wherein the comparison angle is the limit value of the angle between the resultant force of the inclined column and the axial direction;

[0014] Compare the vertical displacement of the structural control point with the vertical displacement limit of the structural control point;

[0015] If the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, the optimized prestress of the annular cable and radial cable is output and enters the structural load analysis module;

[0016] Otherwise, the prestress of the annular cable and radial cable is updated by introducing an intelligent optimization algorithm, the updated prestress of the annular cable and radial cable is input, and the structural information, dead load and self-weight load information are calculated again by the finite element method to output the vertical displacement of the structural control point, and the angle to be compared is output at the same time;

[0017] The vertical displacement of the structural control point is compared with the vertical displacement limit of the structural control point, and the angle to be compared is compared with the comparison angle, until the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, and then the optimized prestress of the annular cable and radial cable is output and enters the structural load analysis module.

[0018] As a further solution of the present invention: the specific process of the structural load-bearing analysis module is:

[0019] Structural load analysis module: Input structural information, dead load and self-weight load information, and simultaneously input the optimized prestress of the annular cable and radial cable to calculate the structural bearing capacity through the finite element method;

[0020] The structural bearing capacity is compared with the structural bearing capacity limit. If the structural bearing capacity is greater than the structural bearing capacity limit, the engineering cost calculation module is entered. Otherwise, the intelligent optimization algorithm is introduced to update the prestress of the annular cable and the radial cable, and the data input module is returned to input the specification parameters of the annular cable and the radial cable, and iterative calculation is performed until the calculated structural bearing capacity is greater than the structural bearing capacity limit, and the engineering cost calculation module is entered.

[0021] As a further solution of the present invention: the specific process of the engineering cost calculation module is:

[0022] Engineering cost calculation module: input the initial engineering cost value of the annular cable and radial cable, compare the calculated engineering cost value with the preset engineering cost threshold, if it is less than the engineering cost threshold, mark the engineering cost value as the minimum engineering cost value, otherwise, introduce the intelligent optimization algorithm to iteratively optimize the specification parameters and prestress of the annular cable and radial cable, and recalculate the engineering cost value in each iteration until the calculated engineering cost value is less than the engineering cost threshold.

[0023] As a further solution of the present invention: the specific embodiment also includes a construction risk assessment subsystem:

[0024] Among them, the construction risk assessment subsystem includes: construction risk data acquisition module, construction risk sub-area acquisition module, risk coefficient calculation module and risk degree judgment module;

[0025] Construction risk data acquisition module: obtains construction risk data, processes it, and calculates the risk representation value;

[0026] Among them, the construction risk data includes the construction risk assessment value and the construction area volume value;

[0027] A module for obtaining sub-areas with construction risks: obtaining risk characterization values, evaluating them, and obtaining sub-areas with construction risks;

[0028] Obtaining a risk characterization value of each construction sub-area, comparing the risk characterization value with a risk characterization threshold, and if the risk characterization value is greater than the risk characterization threshold, marking the construction sub-area as a sub-area with construction risk;

[0029] Risk coefficient calculation module: obtain the sub-area with construction risk, obtain the high construction risk area distribution characterization value and the construction risk deviation degree value of the sub-area with construction risk, and calculate the risk coefficient;

[0030] Risk level judgment module: obtain the risk coefficient, compare the risk coefficient with the risk coefficient threshold, if the risk coefficient is less than or equal to the risk coefficient threshold, generate a low construction risk level signal, if the risk coefficient is greater than the risk coefficient threshold, generate a high construction risk level signal.

[0031] As a further solution of the present invention: the process of obtaining the risk characterization value is:

[0032] Divide the building to be constructed into several construction sub-areas according to the construction stage, and obtain the construction risk assessment value and the construction sub-area volume value corresponding to each construction sub-area;

[0033] The volume value of the construction sub-area is ratioed to the volume value of the total construction area to obtain the volume proportion of the construction sub-area;

[0034] For each construction sub-area, the construction risk assessment value is multiplied by the volume proportion of the construction sub-area to obtain the risk characterization value.

[0035] As a further solution of the present invention: the process of obtaining the risk coefficient is:

[0036] Obtain the distribution representation value of the high-risk construction area and the construction risk deviation degree value;

[0037] The risk coefficient is obtained by multiplying the distribution characterization value of the high-risk construction area with the construction risk deviation degree value.

[0038] As a further solution of the present invention: the process of obtaining the distribution characterization value of the high construction risk area is:

[0039] Obtain sub-regions with construction risks and their numerical values, and integrate adjacent sub-regions with construction risks to obtain an integrated region;

[0040] Obtain the number of integrated areas, calculate the ratio of the integrated number to the number of sub-areas with construction risks, and obtain the ratio of the number of integrated areas;

[0041] Obtain the number of sub-areas with construction risks in each integrated area, extract the maximum value among them, obtain the maximum number of areas with construction risks in the integrated area, calculate the ratio of the maximum number of areas with construction risks in the integrated area to the number of sub-areas with construction risks, and obtain the maximum ratio of the number of sub-areas in the integrated area;

[0042] The maximum value of the proportion of the number of sub-areas within the integrated area is ratioed to the value of the proportion of the number of integrated areas to obtain the distribution representation value of the area with high construction risk.

[0043] As a further solution of the present invention: the process of obtaining the construction risk deviation degree value is as follows:

[0044] For each integrated area, obtain the risk characterization value corresponding to the sub-area with construction risk, calculate the difference between the risk characterization value and the risk characterization threshold to obtain the risk characterization deviation value, perform ratio processing on the risk characterization deviation value and the risk characterization threshold to obtain the risk characterization deviation ratio, sum the risk characterization deviation ratios corresponding to all sub-areas with construction risk, and obtain the total value of the risk characterization deviation ratio, which is marked as the construction risk deviation degree value.

[0045] In the second aspect, the annular cable-supported grid structure cable intelligent optimization design and analysis system described in the present invention is applied in the field of annular cable-supported grid structure installation technology.

[0046] Beneficial effects of the present invention:

[0047] (1) The present invention receives the specification parameters of the annular cable and radial cable and the structure and load information through the data input module, and optimizes the prestress by using the cable prestress optimization analysis module in combination with the finite element method and the intelligent optimization algorithm until the requirements of the vertical displacement of the structural control point and the combined force of the inclined column and the axial angle are met. Subsequently, the structural load analysis module verifies whether the optimized structural bearing capacity meets the standard. If not, it continues to iterate the optimization. Finally, the engineering cost calculation module calculates and optimizes the engineering cost, and outputs the specification parameters and prestress of the annular cable and radial cable at the lowest cost, thereby realizing the intelligent optimization design analysis of the annular cable-supported grid structure cable, and can find the cable specification parameters and prestress combination with the lowest cost under the premise of meeting the structural bearing capacity. This system can greatly improve the efficiency and accuracy of structural design and reduce engineering costs.

[0048] (2) The present invention divides the total construction area into zones, obtains risk data for each construction sub-area, calculates a risk characterization value for the construction sub-area, and compares the risk characterization value with a risk characterization threshold, thereby obtaining a sub-area with construction risk. After obtaining the sub-area with construction risk, the distribution status and risk deviation degree of the sub-area with construction risk are analyzed and calculated to obtain distribution characterization values ​​of high-risk construction areas and construction risk deviation degree values. The risk coefficient is calculated based on the distribution characterization values ​​of high-risk construction areas and the construction risk deviation degree values, thereby comparing the risk coefficient with the risk coefficient threshold to determine whether the construction risk degree of the total construction area is low or high. Thus, by assessing risks in advance, construction safety issues can be reduced, or construction delays caused by problems during the construction process can be reduced, thereby improving construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is a flowchart of the intelligent optimization design and analysis system of the annular cable-supported grid structure cable of the present invention;

[0051] Figure 2 It is a flow chart of the cable prestress optimization analysis module in the intelligent optimization design and analysis system for the annular cable-supported grid structure cable of the present invention;

[0052] Figure 3 It is a flowchart of the construction risk assessment subsystem in the intelligent optimization design and analysis system for the annular cable-supported grid structure cable of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] See also Figure 1 and Figure 2 As shown, the intelligent optimization design and analysis system for the annular cable-supported grid structure cable according to the embodiment of the present invention specifically includes: a data input module, a cable prestress optimization analysis module, a structural load analysis module, an engineering cost calculation module and a specification parameter output module;

[0056] Data input module: input the specification parameters of the annular cable and radial cable as well as the structural information, dead load and deadweight load information;

[0057] Specifically, input the specification parameters of the annular cable and the radial cable, wherein the specification parameters of the annular cable and the radial cable include but are not limited to: the diameter, size and material of the annular cable and the radial cable;

[0058] Input structural information, dead load and deadweight load information, wherein the structural information includes but is not limited to: the overall layout, node location and connection method of the ring cable-supported grid structure;

[0059] Dead load information includes but is not limited to: the weight of the structure itself, the loads acting on the structure over a long period of time such as fixed equipment;

[0060] Self-weight load: specifically refers to the load generated by the structure’s own weight;

[0061] Cable prestress optimization analysis module: receives the data provided by the input module, uses the finite element method combined with the intelligent optimization algorithm to optimize the prestress of the annular cable and radial cable;

[0062] Specifically, the prestress of the annular cable and radial cable is input, and the structural information, dead load and self-weight load information are input at the same time, and the vertical displacement of the structural control point is calculated and output through the finite element method, and the angle between the resultant force of the inclined column and the axial direction is output;

[0063] It should be noted that the prestress of the annular cable and radial cable input in the first calculation can be taken as zero;

[0064] The angle between the resultant force of the inclined column and the axial direction is marked as the angle to be compared, and the comparison angle is compared with the comparison angle, wherein the comparison angle is the limit value of the angle between the resultant force of the inclined column and the axial direction;

[0065] Compare the vertical displacement of the structural control point with the vertical displacement limit of the structural control point;

[0066] If the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, the optimized prestress of the annular cable and radial cable is output and enters the structural load analysis module;

[0067] Otherwise, the prestress of the annular cable and radial cable is updated by introducing an intelligent optimization algorithm, the updated prestress of the annular cable and radial cable is input, and the structural information, dead load and self-weight load information are calculated again by the finite element method to output the vertical displacement of the structural control point, and the angle to be compared is output at the same time;

[0068] The vertical displacement of the structural control point is compared with the vertical displacement limit of the structural control point, and the angle to be compared is compared with the comparison angle, until the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, and then the optimized prestress of the annular cable and radial cable is output and entered into the structural load analysis module;

[0069] Among them, intelligent optimization algorithms include but are not limited to: differential evolution algorithm;

[0070] Structural bearing analysis module: using the finite element method, calculate the structural bearing capacity of the structure under the prestressing of the optimized annular cables and radial cables, and compare it with the structural bearing capacity limit required by the design;

[0071] Specifically, input the structural information, dead load and deadweight load information, and simultaneously input the optimized prestress of the annular cable and radial cable to calculate the structural bearing capacity by the finite element method;

[0072] Compare the structural bearing capacity with the structural bearing capacity limit. If the structural bearing capacity is greater than the structural bearing capacity limit, enter the engineering cost calculation module. Otherwise, introduce the intelligent optimization algorithm to update the prestress of the annular cable and the radial cable, and return to the data input module to input the specification parameters of the annular cable and the radial cable, and perform iterative calculation until the calculated structural bearing capacity is greater than the structural bearing capacity limit, and enter the engineering cost calculation module.

[0073] Among them, intelligent optimization algorithms include but are not limited to: differential evolution algorithm;

[0074] Engineering cost calculation module: Calculate the engineering cost values ​​of the annular cables and radial cables according to the optimization results, and obtain the lowest engineering cost value through intelligent optimization algorithm;

[0075] Specifically, the initial engineering cost values ​​of the annular cable and radial cable are input and calculated, and the calculated engineering cost value is compared with the preset engineering cost threshold. If it is less than the engineering cost threshold, the engineering cost value is marked as the minimum engineering cost value. Otherwise, the intelligent optimization algorithm is introduced to iteratively optimize the specification parameters and prestress of the annular cable and radial cable. In each iteration, the engineering cost value is recalculated until the calculated engineering cost value is less than the engineering cost threshold.

[0076] The above calculated engineering cost values ​​are numbered in order from low to high, that is, the lowest engineering cost value is numbered 1, and then numbered in order;

[0077] Among them, intelligent optimization algorithms include but are not limited to: differential evolution algorithm;

[0078] The engineering cost threshold is set by technicians in the field based on historical construction data;

[0079] Specification parameter output module: outputs the optimized specification parameters of the annular cable and radial cable as well as the prestress of the annular cable and radial cable;

[0080] The technical solution of the embodiment of the present invention is mainly as follows: the specification parameters and structure and load information of the annular cable and radial cable are received through the data input module, and the prestress is optimized by using the cable prestress optimization analysis module in combination with the finite element method and the intelligent optimization algorithm until the requirements of the vertical displacement of the structural control point, the resultant force of the inclined column and the axial angle are met. Subsequently, the structural bearing analysis module verifies whether the optimized structural bearing capacity meets the standard. If not, it continues to iterate the optimization. Finally, the engineering cost calculation module calculates and optimizes the engineering cost, and outputs the specification parameters and prestress of the annular cable and radial cable at the lowest cost, thereby realizing the intelligent optimization design analysis of the annular cable-supported grid structure cable, and can find the lowest cost cable specification parameters and prestress combination under the premise of meeting the structural bearing capacity. This system can greatly improve the efficiency and accuracy of structural design and reduce engineering costs.

[0081] Embodiment 2:

[0082] Based on Example 1, please refer to Figure 3 As shown, after obtaining the optimized specifications of the annular cable and radial cable, the risk level of the total construction area is evaluated, so as to improve the feasibility and feasibility of the implementation plan, thereby reducing the construction delay caused by unreasonable construction plans or unexpected situations during the construction process, and reducing the safety accidents caused by the construction process. The annular cable-supported grid structure cable intelligent optimization design and analysis system described in the embodiment of the present invention specifically also includes a construction risk assessment subsystem:

[0083] Among them, the construction risk assessment subsystem includes: construction risk data acquisition module, construction risk sub-area acquisition module, risk coefficient calculation module and risk degree judgment module;

[0084] Construction risk data acquisition module: obtains construction risk data, processes it, and calculates the risk representation value;

[0085] Among them, the construction risk data includes the construction risk assessment value and the construction area volume value;

[0086] In some embodiments, the building to be constructed is divided into a number of construction sub-areas according to the construction stage, and a construction risk assessment value and a construction sub-area volume value corresponding to each construction sub-area are obtained;

[0087] Among them, the construction risk assessment value is obtained by the technical personnel in charge according to the historical data and experience;

[0088] The volume value of the construction sub-area is ratioed to the volume value of the total construction area to obtain the volume proportion of the construction sub-area;

[0089] For each construction sub-area, the construction risk assessment value is multiplied by the volume percentage of the construction sub-area to obtain the risk representation value;

[0090] It should be explained that the risk characterization value is calculated by the construction risk assessment value and the construction sub-area volume ratio value, wherein the construction risk assessment value represents the construction risk difficulty value of the construction sub-area. The larger the construction risk assessment value, the greater the construction difficulty and construction risk impact, and the higher the risk of the corresponding construction sub-area. The construction sub-area volume ratio value represents the proportion of the construction sub-area in the entire construction area, reflecting the risk impact range. The larger the construction sub-area volume ratio value, the greater the risk impact range, and the higher the risk of the corresponding construction sub-area.

[0091] A module for obtaining sub-areas with construction risks: obtaining risk characterization values, evaluating them, and obtaining sub-areas with construction risks;

[0092] In some embodiments, a risk characterization value of each construction sub-area is obtained, and the risk characterization value is compared with a risk characterization threshold, wherein the risk characterization threshold is a critical value used to judge the construction risk of the construction sub-area, and is summarized and set by a person skilled in the art based on historical experimental data;

[0093] If the risk characterization value is less than or equal to the risk characterization threshold, it means that the construction risk of the construction sub-area is low, and the construction sub-area is marked as a sub-area without construction risk;

[0094] If the risk characterization value is greater than the risk characterization threshold, it means that the construction risk of the construction sub-area is high, and the construction sub-area is marked as a sub-area with construction risk;

[0095] After obtaining the optimized specifications of the annular cables and radial cables, since the optimized cable specifications are different from the original construction plan, the above-mentioned construction risk data acquisition module and the construction risk sub-area acquisition module are set up to conduct construction risk assessment on the construction sub-area, obtain the construction risk sub-area, and calculate the risk coefficient of the total construction area based on these sub-areas, and judge the risk degree of the overall construction area based on the risk coefficient, thereby increasing construction safety and improving construction efficiency;

[0096] Risk coefficient calculation module: obtain the sub-area with construction risk, obtain the high construction risk area distribution characterization value and the construction risk deviation degree value of the sub-area with construction risk, and calculate the risk coefficient;

[0097] In some embodiments, sub-regions with construction risks and their numerical values ​​are obtained, and adjacent sub-regions with construction risks are integrated to obtain an integrated region;

[0098] It should be noted that the adjacent sub-regions with construction risks represent the adjacent sub-regions with construction risks within the three-dimensional space;

[0099] Obtain the number of integrated areas, calculate the ratio of the integrated number to the number of sub-areas with construction risks, and obtain the ratio of the number of integrated areas;

[0100] Obtain the number of sub-areas with construction risks in each integrated area, extract the maximum value among them, obtain the maximum number of areas with construction risks in the integrated area, calculate the ratio of the maximum number of areas with construction risks in the integrated area to the number of sub-areas with construction risks, and obtain the maximum ratio of the number of sub-areas in the integrated area;

[0101] The maximum value of the proportion of the number of sub-regions within the integrated area is processed by ratio with the value of the proportion of the number of integrated areas to obtain the distribution representation value of the area with high construction risk;

[0102] It should be explained that the meaning of the distribution characterization value of the area with high construction risk is as follows: the distribution characterization value of the area with high construction risk is calculated by the proportion of the number of integrated areas and the maximum proportion of the number of sub-areas in the integrated area, where the proportion of the number of integrated areas indicates the density of the area with construction risk, that is, the smaller the proportion of the number of integrated areas, the larger the distribution characterization value of the area with high construction risk, the more concentrated the distribution of the area with construction risk in the total construction area, the smaller the density, and the higher the impact on the construction risk of the total construction area; the maximum proportion of the number of sub-areas in the integrated area indicates the proportion of the maximum value of the number of construction sub-areas in all the integrated areas in the total number of sub-areas with construction risk, that is, the larger the maximum value, the larger the distribution characterization value of the area with high construction risk, the more construction sub-areas in the integrated area, and the higher the impact on the construction risk of the total construction area;

[0103] For each integrated area, the risk characterization value corresponding to the sub-area with construction risk is obtained, the risk characterization value is subtracted from the risk characterization threshold to obtain the risk characterization deviation value, the risk characterization deviation value is ratioed with the risk characterization threshold to obtain the risk characterization deviation ratio, and the risk characterization deviation ratios corresponding to all sub-areas with construction risk are summed to obtain the total value of the risk characterization deviation ratio, which is marked as the construction risk deviation degree value;

[0104] The risk coefficient is obtained by multiplying the distribution representation value of the high-risk construction area with the construction risk deviation degree value;

[0105] It needs to be explained that the meaning reflected by the risk coefficient is: the risk coefficient is calculated by the distribution representation value of the high-risk construction area and the construction risk deviation degree value, wherein the distribution representation value of the high-risk construction area represents the spatial distribution of the sub-area with construction risk in the total construction area, that is, the larger the distribution representation value of the construction risk area, the larger the risk coefficient, and the higher the construction risk degree for the total construction area; the construction risk deviation degree value represents the deviation degree ratio between the risk representation value of the sub-area with construction risk and the risk representation threshold, that is, the larger the construction risk deviation degree value, the larger the risk coefficient, the greater the degree of the risk representation value exceeding the range, and the higher the construction risk degree for the total construction area;

[0106] Risk level judgment module: compares the risk factor with the risk factor threshold to evaluate the construction risk level of the total construction area;

[0107] In some embodiments, a risk factor is obtained, and the risk factor is compared with a risk factor threshold, wherein the risk factor threshold is a critical value used to determine the degree of construction risk in the total construction area, and is summarized and set by those skilled in the art based on historical experimental data;

[0108] If the risk coefficient is less than or equal to the risk coefficient threshold, it means that the distribution of the high-risk sub-area in construction is relatively sparse and the deviation between the risk characterization value and the risk characterization threshold is small, generating a signal of low construction risk level;

[0109] Based on the generated signal of low construction risk level, construction can be started;

[0110] If the risk coefficient is greater than the risk coefficient threshold, it means that the distribution of the high-risk sub-areas in the construction is relatively dense or the deviation between the risk characterization value and the risk characterization threshold is large, and a high-risk construction signal is generated;

[0111] Based on the generation of a high construction risk signal, due to the engineering cost ranking in the engineering cost calculation module in the above embodiment 1, the subsequent adjacent numbers are extracted, and the specification output module outputs the specifications of the circumferential cable and radial cable corresponding to the number, and enters the construction risk assessment system again to assess the construction risk level of the total construction area;

[0112] It should be explained that if the current specification output module outputs the engineering cost of number 1 corresponding to the specifications of the circumferential cable and radial cable, the subsequent adjacent number extracted is the engineering cost of number 2;

[0113] The technical solution of the embodiment of the present invention is mainly as follows: by dividing the total construction area into zones, obtaining risk data of each construction sub-area, calculating the risk characterization value of the construction sub-area, and comparing the risk characterization value with the risk characterization threshold, the sub-area with construction risk can be obtained. After obtaining the sub-area with construction risk, the distribution status and risk deviation degree of the sub-area with construction risk are analyzed and calculated to obtain the distribution characterization value of the high-risk construction area and the construction risk deviation degree value, and the risk coefficient is calculated based on the distribution characterization value of the high-risk construction area and the construction risk deviation degree value, so that the risk coefficient can be compared with the risk coefficient threshold to determine whether the construction risk degree of the total construction area is low or high, and then the risk can be assessed in advance to reduce construction safety problems or construction delays caused by problems in the construction process, thereby improving construction efficiency.

[0114] Embodiment 3:

[0115] On the basis of Example 1 and Example 2, the annular cable-supported grid structure cable intelligent optimization design and analysis system described in the embodiment of the present invention is applied in the field of annular cable-supported grid structure installation technology.

[0116] The size of the above threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the base number set by the technical personnel in this field for each group of sample data; for example: in the actual process, there are many groups of construction risk assessment values ​​and construction sub-area volume values. Many groups of construction risk assessment values ​​and construction sub-area volume values ​​are processed to obtain the risk characterization values ​​of the corresponding groups. The staff evaluates the degree of construction risk in the construction sub-area based on so many groups of risk characterization values, thereby obtaining a corresponding relationship between a risk characterization value and the degree of construction risk, and then derives and divides the threshold of the risk characterization value according to the degree of construction risk, thereby obtaining a risk characterization threshold, and compares the obtained risk characterization value with the risk characterization threshold, that is, completes the identification of the degree of construction risk corresponding to the risk characterization value.

[0117] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. The intelligent optimization design and analysis system for the ring-shaped cable-supported grid structure cable is characterized by: Specifically include: Data input module, cable prestressing optimization analysis module, structural load analysis module, engineering cost calculation module and specification parameter output module; Data input module: input the specification parameters of the annular cable and radial cable as well as the structural information, dead load and deadweight load information; Cable prestress optimization analysis module: receives the data provided by the data input module, uses the finite element method and combines it with the intelligent optimization algorithm to optimize the prestress of the annular cable and radial cable; The specific process of the cable prestress optimization analysis module is as follows: input the prestress of the annular cable and radial cable, and simultaneously input the structural information, dead load and self-weight load information, calculate the output of the vertical displacement of the structural control point through the finite element method, and output the angle between the resultant force of the inclined column and the axial direction; The angle between the resultant force of the inclined column and the axial direction is marked as the angle to be compared, and the angle to be compared is compared with the comparison angle, wherein the comparison angle is the limit value of the angle between the resultant force of the inclined column and the axial direction; Compare the vertical displacement of the structural control point with the vertical displacement limit of the structural control point; If the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, the optimized prestress of the annular cable and radial cable is output and enters the structural load analysis module; Otherwise, the prestress of the annular cable and radial cable is updated by introducing an intelligent optimization algorithm, the updated prestress of the annular cable and radial cable is input, and the structural information, dead load and self-weight load information are calculated again by the finite element method to output the vertical displacement of the structural control point, and the angle to be compared is output at the same time; The vertical displacement of the structural control point is compared with the vertical displacement limit of the structural control point, and the angle to be compared is compared with the comparison angle, until the vertical displacement of the structural control point is less than the vertical displacement limit of the structural control point and the angle to be compared is less than the comparison angle, and then the optimized prestress of the annular cable and radial cable is output and entered into the structural load analysis module; Structural bearing analysis module: using the finite element method, calculate the structural bearing capacity of the structure under the action of optimized annular cable and radial cable prestressing, and compare it with the structural bearing capacity limit required by the design; The specific process of the structural load analysis module is as follows: input the structural information, dead load and self-weight load information, and simultaneously input the optimized prestress of the annular cable and radial cable to calculate the structural bearing capacity through the finite element method; Compare the structural bearing capacity with the structural bearing capacity limit. If the structural bearing capacity is greater than the structural bearing capacity limit, enter the engineering cost calculation module. Otherwise, introduce the intelligent optimization algorithm to update the prestress of the annular cable and radial cable, and return to the data input module to input the specification parameters of the annular cable and radial cable for iterative calculation until the calculated structural bearing capacity is greater than the structural bearing capacity limit, and enter the engineering cost calculation module. Engineering cost calculation module: Calculate the engineering cost values ​​of the annular cables and radial cables according to the optimization results, and obtain the lowest engineering cost value through intelligent optimization algorithm; Specification parameter output module: outputs the optimized specification parameters of the annular cable and radial cable as well as the prestress of the annular cable and radial cable.

2. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 1 is characterized in that: The specific process of the engineering cost calculation module is as follows: Engineering cost calculation module: input the initial engineering cost value of the annular cable and radial cable, compare the calculated engineering cost value with the preset engineering cost threshold, if it is less than the engineering cost threshold, mark the engineering cost value as the minimum engineering cost value, otherwise, introduce the intelligent optimization algorithm to iteratively optimize the specification parameters and prestress of the annular cable and radial cable, and recalculate the engineering cost value in each iteration until the calculated engineering cost value is less than the engineering cost threshold.

3. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 1 is characterized in that: The system specifically also includes: a construction risk assessment subsystem; Among them, the construction risk assessment subsystem includes: construction risk data acquisition module, construction risk sub-area acquisition module, risk coefficient calculation module and risk degree judgment module; Construction risk data acquisition module: obtains construction risk data, processes it, and calculates the risk representation value; Among them, the construction risk data includes the construction risk assessment value and the construction area volume value; A module for obtaining sub-areas with construction risks: obtaining risk characterization values, evaluating them, and obtaining sub-areas with construction risks; Obtaining a risk characterization value of each construction sub-area, comparing the risk characterization value with a risk characterization threshold, and if the risk characterization value is greater than the risk characterization threshold, marking the construction sub-area as a sub-area with construction risk; Risk coefficient calculation module: obtain the sub-area with construction risk, obtain the high construction risk area distribution characterization value and the construction risk deviation degree value of the sub-area with construction risk, and calculate the risk coefficient; Risk level judgment module: obtain the risk coefficient, compare the risk coefficient with the risk coefficient threshold, if the risk coefficient is less than or equal to the risk coefficient threshold, generate a low construction risk level signal, if the risk coefficient is greater than the risk coefficient threshold, generate a high construction risk level signal.

4. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 3 is characterized in that: The process of obtaining the risk characterization value is as follows: Divide the building to be constructed into several construction sub-areas according to the construction stage, and obtain the construction risk assessment value and the construction sub-area volume value corresponding to each construction sub-area; The volume value of the construction sub-area is ratioed to the volume value of the total construction area to obtain the volume proportion of the construction sub-area; For each construction sub-area, the construction risk assessment value is multiplied by the volume proportion of the construction sub-area to obtain the risk characterization value.

5. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 3 is characterized in that: The process of obtaining the risk coefficient is as follows: Obtain the distribution representation value of the high-risk construction area and the construction risk deviation degree value; The risk coefficient is obtained by multiplying the distribution characterization value of the high-risk construction area with the construction risk deviation degree value.

6. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 3 is characterized in that: The process of obtaining the distribution characterization value of the high construction risk area is as follows: Obtain sub-regions with construction risks and their numerical values, and integrate adjacent sub-regions with construction risks to obtain an integrated region; Obtain the number of integrated areas, calculate the ratio of the integrated number to the number of sub-areas with construction risks, and obtain the ratio of the number of integrated areas; Obtain the number of sub-areas with construction risks in each integrated area, extract the maximum value among them, obtain the maximum number of areas with construction risks in the integrated area, calculate the ratio of the maximum number of areas with construction risks in the integrated area to the number of sub-areas with construction risks, and obtain the maximum ratio of the number of sub-areas in the integrated area; The maximum value of the proportion of the number of sub-areas within the integrated area is ratioed to the value of the proportion of the number of integrated areas to obtain the distribution representation value of the area with high construction risk.

7. The intelligent optimization design and analysis system for annular cable-supported grid structure according to claim 3 is characterized in that: The process of obtaining the construction risk deviation degree value is as follows: For each integrated area, obtain the risk characterization value corresponding to the sub-area with construction risk, calculate the difference between the risk characterization value and the risk characterization threshold to obtain the risk characterization deviation value, perform ratio processing on the risk characterization deviation value and the risk characterization threshold to obtain the risk characterization deviation ratio, sum the risk characterization deviation ratios corresponding to all sub-areas with construction risk, and obtain the total value of the risk characterization deviation ratio, which is marked as the construction risk deviation degree value.

8. An annular cable-supported grid device is realized by using the annular cable-supported grid structure cable intelligent optimization design and analysis system according to any one of claims 1 to 7.

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