Intelligent feedback control system and its application in construction of circular cable-supported grid structure

Abstract

The present invention belongs to the technical field of building construction. The present invention provides an intelligent feed-back control system for the construction of a ring-cable-supported grid structure and an application thereof, comprising: when the cable force needs to be adjusted, constructing a cable force test range, selecting a number of cable force values ​​as test cable force values, processing and analyzing to obtain a nonlinear performance value based on the test cable force value of each simulation test and the state parameter of the upper grid structure, judging the structural characteristics of the upper grid structure according to the nonlinear performance value, selecting a matching iterative method, making the cable force adjustment more accurate, integrating the cable force adjustment requirements during the installation of the upper grid structure for iterative optimization, achieving accurate cable force adjustment while ensuring the safety and stability of the structural installation, and matching corresponding iterative convergence mechanisms according to different iterative methods of the structure, improving the iterative optimization efficiency on the basis of accurate iteration of cable force optimization.

Description

Technical Field

[0001] The invention belongs to the technical field of building construction, and specifically relates to an intelligent feed control system for the construction of a ring-shaped cable-supported grid structure and its application. Background Art

[0002] With the development of science and technology, more large-scale buildings are gradually emerging. In the construction of large-scale buildings, the application of annular cable-supported grid structures is relatively common. However, the installation of annular cable-supported grid structures is relatively complicated. During the installation and construction process, problems such as installation adjustment and cable force adjustment may arise. How to effectively and quickly solve the installation problems that arise is of great significance.

[0003] In the prior art, during the construction of circular cable-bearing buildings, the problem of cable force adjustment is often encountered, which is generally solved by optimizing and adjusting the cable force. However, in the optimization process, there is often a lack of comprehensive analysis. For example, the structural characteristics are not fully considered, and the accuracy of the cable force optimization cannot be guaranteed. Secondly, in the iterative optimization of the cable force, the structural characteristics often affect the efficiency of the cable force optimization. If the corresponding iterative optimization mechanism is not configured according to the structural characteristics, the efficiency of the cable force optimization will be greatly reduced.

[0004] To this end, the present invention provides an intelligent feedback control system for the construction of a ring-shaped cable-supported grid structure and its application. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: an intelligent feedback control system for the construction of a ring-shaped cable-supported grid structure, comprising:

[0007] Adjustment analysis module: during the construction of the annular cable-supported grid structure and when the upper grid structure is installed, the cable force value of the annular lower cable is obtained and compared with the preset cable force range. If the cable force value of the annular lower cable is greater than the maximum value of the preset cable force range, an adjustment signal is generated;

[0008] Structural characteristic analysis module: after receiving the adjustment signal, construct the finite element model of the upper grid structure and the cable force test range, select several cable force values ​​within the cable force test range as the test cable force values ​​and perform simulation tests on the finite element model of the upper grid structure, record the state parameters of the upper grid structure during each simulation test, process and analyze to obtain the nonlinear performance value, and judge the structural characteristics of the upper grid structure according to the nonlinear performance value, wherein the structural characteristics include linear structural characteristics and nonlinear structural characteristics;

[0009] Iterative selection module: After the structural characteristics of the upper grid structure are judged, a matching iterative method is selected according to the judgment result. If the structural characteristics of the upper grid structure are linear characteristics, a linear iterative method is selected to iteratively adjust the cable force of the annular lower cable. If the structural characteristics of the upper grid structure are nonlinear characteristics, a nonlinear iterative method is selected to iteratively adjust the cable force of the annular lower cable.

[0010] Iterative adjustment module: iteratively adjust the cable force according to the selected iterative method;

[0011] Iteration convergence configuration module: According to the selected iteration method, configure the matching iteration convergence rules. If the matching convergence rules are met, stop the iteration and output the cable force value corresponding to the iteration result as the adjusted cable force value. According to the adjusted cable force value, adjust the cable force of the annular pull-down cable.

[0012] As a further technical solution of the present invention, the cable force test range is constructed by the cable force value of the annular down-pull cable and the minimum value of the preset cable force range;

[0013] The cable tension test range is divided into several equal cable tension test sub-ranges, and the endpoint value of each cable tension test sub-range is selected as the test cable tension value.

[0014] As a further technical solution of the present invention, the construction process of the finite element model of the upper grid structure is:

[0015] S1, scanning the upper grid structure using a laser scanner to obtain three-dimensional point cloud data of the upper grid structure;

[0016] S2, using the Poisson surface reconstruction algorithm, converts the point cloud data into a real three-dimensional mesh model;

[0017] S3, extracting key parameters of the upper grid structure from the three-dimensional grid model, including but not limited to node coordinates, rod length and cross-sectional area;

[0018] S4, determining the type of material used for the upper grid structure, including but not limited to steel and aluminum alloy; and obtaining specific physical and mechanical properties of the material, including but not limited to elastic modulus, Poisson's ratio, and yield strength;

[0019] S5, inputting key parameters of the upper grid structure and properties of the materials used into finite element analysis software to construct a finite element model of the upper grid structure.

[0020] As a further technical solution of the present invention, the nonlinear performance value is obtained by:

[0021] The finite element model of the upper grid structure is simulated and tested by testing the cable force value, and the state parameters of the upper grid structure are recorded during each simulation test;

[0022] Based on the state parameters of any upper grid structure;

[0023] Obtain the values ​​of the state parameters under simulation test conditions with different test cable force values, and construct a state change curve;

[0024] Divide the state change curve into several sub-curves, and obtain the slope values ​​of the sub-curves;

[0025] Connect the two ends of the state change curve with a straight line to obtain a linear reference line;

[0026] If the slope value of the sub-curve is different from the slope value of the linear reference line in terms of sign, the sub-curve is marked as a non-co-directional sub-curve;

[0027] Count the number of non-co-directional sub-curves in all sub-curves, and perform ratio processing with the total number of sub-curves to obtain the nonlinear co-directional value, which is marked as JL;

[0028] Integrate the slope values ​​of all non-co-directional sub-curves into a slope data group, obtain the variance value of the slope data group, and mark it as CD;

[0029] The obtained nonlinear same direction value JL and the variance value CD of the slope data group are processed by the formula: Obtaining a nonlinear coincidence value FX, where s1 and s2 are both preset proportional coefficients;

[0030] If the nonlinear coincidence value FX is greater than the nonlinear coincidence threshold, the state parameter is marked as a nonlinear state parameter;

[0031] Among all state parameters, the number of nonlinear state parameters is counted and compared with the total number of state parameters to obtain the nonlinear performance value.

[0032] As a further technical solution of the present invention, the process of iteratively adjusting the cable force according to the selected iterative method includes:

[0033] If the structural characteristics of the upper grid structure are linear characteristics, the linear iteration method is selected to iteratively adjust the cable force of the annular lower cable, specifically:

[0034] A1, select the linear iteration method;

[0035] A2, initial state setting, setting the initial cable force value;

[0036] Among them, the constraint condition for setting the initial cable force value is:

[0037] Condition 1: The initial cable force value is within the cable force test range;

[0038] Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium;

[0039] If the structural characteristics of the upper grid structure are nonlinear, the process of selecting the nonlinear iteration method to adjust the cable force of the annular lower cable is:

[0040] B1, select nonlinear iterative method;

[0041] B2, initial state setting, setting the initial cable force value;

[0042] Among them, the constraint condition for setting the initial cable force value is:

[0043] Condition 1: The initial cable force value is within the cable force test range;

[0044] Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium;

[0045] Among them, the constraint conditions 1 and 2 of the initial cable force value in the nonlinear iteration are the same as the constraint conditions 1 and 2 of the initial cable force value in the linear iteration respectively;

[0046] Condition 3: The initial cable force value is less than the midpoint value of the cable force test;

[0047] The midpoint value of the cable tension test is obtained by summing and averaging the two endpoint values ​​of the cable tension test range.

[0048] As a further technical solution of the present invention, the identification process that the finite element model of the upper grid structure must be in a balanced state is:

[0049] The design parameters of the upper grid structure in the design scheme are obtained, and a finite element design model of the upper grid structure is constructed. When the initial cable force value is selected to simulate the finite element model of the upper grid structure, various state parameters of the finite element model of the upper grid structure are obtained respectively, and the various state parameters of the finite element model of the upper grid structure are subjected to corresponding difference processing with the various state parameters of the finite element design model of the upper grid structure to obtain the parameter difference corresponding to each state parameter, and the parameter difference corresponding to each state parameter is compared with the parameter difference standard range, specifically:

[0050] Parameter difference based on any state parameter;

[0051] If the parameter difference of the state parameter is not within the parameter difference standard range, the state parameter is marked as an unqualified state parameter;

[0052] Count the number of unqualified state parameters and compare it with the total number of state parameters to obtain the unqualified number ratio;

[0053] Perform difference processing on the parameter difference of the unqualified state parameter and the endpoint value of the adjacent parameter difference standard range, and take the absolute value of the difference to obtain the parameter difference deviation value, sum and average the parameter difference deviation values ​​of all unqualified state parameters to obtain the parameter difference deviation mean, perform ratio processing on the parameter difference deviation mean and the parameter difference standard value to obtain the parameter difference deviation performance value;

[0054] The balance performance value is obtained by summing the ratio of the number of non-conforming items and the performance value of the parameter difference deviation;

[0055] If the balance performance value is less than or equal to the balance performance threshold, it means that the finite element model of the upper grid structure is in a balanced state.

[0056] As a further technical solution of the present invention, the configuration of matching iterative convergence rules according to the selected iterative method includes:

[0057] If the selected iteration method is a linear iteration method, the matching iteration convergence rule is:

[0058] Rule 1: The cable force value corresponding to the iteration result is within the cable force test range;

[0059] Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements;

[0060] The judgment process of whether the annular cable is in the original position or the deviation from the original position meets the requirements is as follows:

[0061] When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the finite element model of the upper grid structure and the finite element design model of the upper grid structure are placed in the same two-dimensional coordinate system for comparison, specifically:

[0062] Setting a number of simulation acquisition points on the annular cables in the finite element model of the upper grid structure, and obtaining the coordinates of each simulation acquisition point;

[0063] Similarly, several actual acquisition points are set on the annular cables in the finite element design model of the upper grid structure, and the coordinates of each actual acquisition point are obtained;

[0064] Integrate the simulated collection points and actual collection points with the same number into one collection point group;

[0065] Based on any collection point group;

[0066] If the coordinates of the simulated collection points are inconsistent with the coordinates of the actual collection points in the collection point group, the collection point group is marked as a non-matching collection point group;

[0067] Count the number of non-matching collection point groups and perform ratio processing with the total number of collection point groups to obtain the number non-matching value;

[0068] In the non-matching collection point group, the distance between the simulated collection point and the actual collection point is calculated according to the coordinates of the simulated collection point and the actual collection point to obtain the deviation distance corresponding to the non-matching collection point group;

[0069] The deviation distances corresponding to all non-matching collection point groups are summed up and averaged to obtain the mean deviation distance, and the mean deviation distance is compared with the deviation distance threshold to obtain the non-matching degree value;

[0070] The quantity mismatch value and the mismatch degree value are summed to obtain the position deviation performance value;

[0071] comparing the position deviation performance value to a position deviation performance threshold;

[0072] If the position deviation performance value is less than or equal to the position deviation performance threshold, it means that the annular cable is in the original position or the deviation from the original position meets the requirements.

[0073] As a further technical solution of the present invention, the configuration of the matching iterative convergence rule according to the selected iterative method also includes:

[0074] If the selected iteration method is a nonlinear iteration method, the matching iteration convergence rule is:

[0075] Rule 1: The cable force value corresponding to the iteration result is within the cable force test range;

[0076] Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements;

[0077] Among them, rule 1 and rule 2 in the iteration rules matched by the nonlinear iteration method correspond to rule 1 and rule 2 in the iteration rules matched by the linear iteration method;

[0078] Rule 3: When the cable force value corresponding to the iteration result satisfies Rules 1 and 2, an iteration monitoring period is preset, and the result of the iteration within the preset iteration monitoring period is stable.

[0079] As a further technical solution of the present invention, the process of judging whether the result of iteration within the preset iteration monitoring period is stable is as follows:

[0080] Within a preset iteration monitoring period, obtaining the cable force value corresponding to the iteration result;

[0081] Based on the cable force value corresponding to any iterative result;

[0082] If the cable force value corresponding to the iteration result satisfies rule 1 and rule 2, the cable force value corresponding to the iteration result is marked as the adapted cable force value;

[0083] The number of adapted cable stress values ​​among the cable stress values ​​corresponding to all iterative results is counted, and the ratio is processed with the total number of cable stress values ​​corresponding to all iterative results to obtain a stable value of the number, which is marked as GS.

[0084] Obtain all adaptive cable force values ​​and integrate them into an adaptive cable force value data group, obtain the variance value of the adaptive cable force value data group, obtain a stable deviation value and mark it as FC;

[0085] The obtained number stability value GS and stable deviation value FC are processed by data, and the formula is: A stable performance value WD is obtained, wherein z1 and z2 are both preset proportional coefficients;

[0086] If the stable performance value is greater than the stable performance threshold, it means that the result of the iteration within the preset iteration monitoring period is stable.

[0087] Application of intelligent feedback control system for construction of circular cable-supported grid structures in the field of building construction technology.

[0088] The beneficial effects of the present invention are as follows:

[0089] 1. When the cable tension needs to be adjusted, a cable tension test range is constructed, and several cable tension values ​​are selected as test cable tension values ​​within the cable tension test range. The finite element model of the upper grid structure is simulated and tested by the test cable tension values. Based on the test cable tension values ​​of each simulation test and the state parameters of the upper grid structure, nonlinear performance values ​​are obtained through processing and analysis. The structural characteristics of the upper grid structure are judged according to the nonlinear performance values, wherein the structural characteristics include linear structural characteristics and nonlinear structural characteristics. After the judgment based on the structural characteristics of the upper grid structure is completed, a matching iterative method is selected according to the judgment result. The present invention analyzes the structural characteristics to select a matching cable tension iterative optimization method, so that the cable tension adjustment is more accurate.

[0090] 2. Iterative adjustment of the cable force is performed according to the selected iteration method, and the cable force adjustment requirements during the installation of the upper grid structure are integrated for iteration. While achieving accurate adjustment of the cable force, the safe and stable installation of the structure is ensured. The corresponding iterative convergence mechanism is matched according to the different iterative methods of the structure. For example, in nonlinear iteration, due to the existence of non-unique solutions, a convergence judgment mechanism for the stability of the iterative results is added. The setting of the initial cable force value is also added to reduce the iteration range. On the basis of accurate iteration of cable force optimization, the iterative optimization efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] The present invention will be further described below in conjunction with the accompanying drawings.

[0092] Figure 1 It is a module diagram of the intelligent feed control system for the construction of annular cable-supported grid structure according to an embodiment of the present invention;

[0093] Figure 2 It is a flow chart of the steps for implementing cable force adjustment in the intelligent feedback control system for the construction of annular cable-supported grid structure described in an embodiment of the present invention. DETAILED DESCRIPTION

[0094] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0095] Example 1

[0096] like Figure 1 - Figure 2 As shown, the intelligent feedback control system for the construction of the annular cable-supported grid structure according to the embodiment of the present invention comprises:

[0097] Adjustment analysis module: during the construction of the annular cable-supported grid structure and when the upper grid structure is installed, the cable force value of the annular lower cable is obtained and compared with the preset cable force range. If the cable force value of the annular lower cable is greater than the maximum value of the preset cable force range, an adjustment signal is generated and sent to the structural characteristic analysis module;

[0098] It should be noted that if the cable force value of the annular pull-down cable is less than or equal to the maximum value of the preset cable force range and greater than 0, no processing is performed. It should also be noted that the minimum value of the preset cable force range is close to 0 but not equal to 0;

[0099] Structural characteristic analysis module: after receiving the adjustment signal, a finite element model of the upper grid structure is constructed, and a cable force test range is constructed according to the cable force value of the annular lower cable and the preset cable force range minimum value, and several cable force values ​​are selected within the cable force test range as test cable force values, and the finite element model of the upper grid structure is simulated and tested by the test cable force values, and the state parameters of the upper grid structure are recorded during each simulation test, and the nonlinear performance value is obtained by processing and analyzing based on the test cable force value of each simulation test and the state parameters of the upper grid structure, and the structural characteristics of the upper grid structure are judged according to the nonlinear performance value, wherein the structural characteristics include linear structural characteristics and nonlinear structural characteristics;

[0100] The state parameters of the upper grid structure include but are not limited to structural displacement, stress and deformation;

[0101] It should be noted that the cable force test range is constructed by the cable force value of the annular pull-down cable and the minimum value of the preset cable force range. For example, the cable force value of the annular pull-down cable is marked as BF, and the minimum value of the preset cable force range is marked as YF, then the constructed cable force test range is [YF-BF];

[0102] It should be noted that the basis for constructing the cable force test range according to the cable force value of the annular lower cable and the minimum value of the preset cable force range is that the cable force value of the current annular lower cable has exceeded the range and needs to be adjusted, and its adjustment range belongs to the constructed cable force test range. Through the simulation measurement and analysis of the cable force test range, the relationship between the structure and the cable force can be understood, which is convenient for the subsequent accurate adjustment of the cable force;

[0103] The cable force test range is divided into a number of equal cable force test sub-ranges, and the endpoint value of each cable force test sub-range is selected as the test cable force value;

[0104] It should be noted that the purpose of using the endpoint value of each cable tension test sub-range as the test cable tension value is to make the selected test cable tension value evenly cover the cable tension test range by using the endpoint value of the cable tension test sub-range as the test cable tension value, so that the cable tension test within the cable tension test range is more comprehensive;

[0105] Exemplarily, the construction process of the finite element model of the upper grid structure is:

[0106] S1, scanning the upper grid structure using a laser scanner to obtain three-dimensional point cloud data of the upper grid structure;

[0107] S2, using the Poisson surface reconstruction algorithm, converts the point cloud data into a real three-dimensional mesh model;

[0108] S3, extracting key parameters of the upper grid structure from the three-dimensional grid model, including but not limited to node coordinates, rod length and cross-sectional area;

[0109] S4, determining the type of material used for the upper grid structure, including but not limited to steel and aluminum alloy; and obtaining specific physical and mechanical properties of the material, including but not limited to elastic modulus, Poisson's ratio, and yield strength;

[0110] S5, inputting key parameters of the upper grid structure and properties of the used materials into finite element analysis software to construct a finite element model of the upper grid structure;

[0111] The finite element model of the upper grid structure is simulated and tested by testing the cable force value, and the state parameters of the upper grid structure are recorded during each simulation test;

[0112] Based on the state parameters of any upper grid structure;

[0113] The values ​​of the state parameters under the simulation test at different test cable force values ​​are obtained, and they are marked and connected in the XY two-dimensional coordinate system to obtain a state change curve, where the X-axis represents the test cable force value and the Y-axis represents the value corresponding to the state parameter;

[0114] Connect the two ends of the state change curve with a straight line to obtain a linear reference line;

[0115] Divide the state change curve into several sub-curves, obtain the slope value of the sub-curve, and compare the slope value of the sub-curve with the slope value of the linear reference line for positive and negative;

[0116] If the slope value of the sub-curve is of the same sign as the slope value of the linear reference line, the sub-curve is marked as a sub-curve of the same direction;

[0117] If the slope value of the sub-curve is different from the slope value of the linear reference line in terms of sign, the sub-curve is marked as a non-co-directional sub-curve;

[0118] Count the number of non-co-directional sub-curves in all sub-curves, and perform ratio processing with the total number of sub-curves to obtain the nonlinear co-directional value, which is marked as JL;

[0119] Integrate the slope values ​​of all non-co-directional sub-curves into a slope data group, obtain the variance value of the slope data group, and mark it as CD;

[0120] The obtained nonlinear same direction value JL and the variance value CD of the slope data group are processed by the formula: Obtaining a nonlinear coincidence value FX, where s1 and s2 are both preset proportional coefficients;

[0121] In some embodiments, the nonlinear coincidence value FX is compared to a nonlinear coincidence threshold;

[0122] If the nonlinear coincidence value FX is greater than the nonlinear coincidence threshold, the state parameter is marked as a nonlinear state parameter;

[0123] If the nonlinear coincidence value FX is less than or equal to the nonlinear coincidence threshold, no operation is performed;

[0124] Among all state parameters, the number of nonlinear state parameters is counted and the ratio is processed with the total number of state parameters to obtain the nonlinear performance value;

[0125] In some embodiments, the nonlinear performance value is compared to a nonlinear performance threshold;

[0126] If the nonlinear performance value is greater than the nonlinear performance threshold, it means that the structural feature of the upper grid structure is a nonlinear structural feature;

[0127] If the nonlinear performance value is less than or equal to the nonlinear performance threshold, it means that the structural feature of the upper grid structure is a linear structural feature;

[0128] Iterative selection module: After the structural characteristics of the upper grid structure are judged, a matching iterative method is selected according to the judgment result. If the structural characteristics of the upper grid structure are linear characteristics, a linear iterative method is selected to iteratively adjust the cable force of the annular lower cable. If the structural characteristics of the upper grid structure are nonlinear characteristics, a nonlinear iterative method is selected to iteratively adjust the cable force of the annular lower cable.

[0129] The technical solution of the embodiment of the present invention is: when the cable tension needs to be adjusted, a cable tension test range is constructed, and several cable tension values ​​are selected as test cable tension values ​​within the cable tension test range. The finite element model of the upper grid structure is simulated and tested by the test cable tension values. Based on the test cable tension values ​​of each simulation test and the state parameters of the upper grid structure, nonlinear performance values ​​are obtained by processing and analysis. The structural characteristics of the upper grid structure are judged according to the nonlinear performance values, wherein the structural characteristics include linear structural characteristics and nonlinear structural characteristics. After the judgment based on the structural characteristics of the upper grid structure is completed, a matching iterative method is selected according to the judgment result. The present invention analyzes the structural characteristics to select a matching cable tension iterative optimization method to make the cable tension adjustment more accurate.

[0130] Example 2

[0131] like Figure 1 - Figure 2 Based on Example 1, the intelligent feed control system for construction of a ring-shaped cable-supported grid structure according to the embodiment of the present invention includes:

[0132] Iterative adjustment module: iteratively adjust the cable force according to the selected iterative method;

[0133] Specifically, if the structural characteristics of the upper grid structure are linear characteristics, a linear iteration method is selected to iteratively adjust the cable force of the annular lower cable;

[0134] Exemplarily, the process of selecting the linear iteration method to adjust the cable force of the annular pull-down cable is as follows:

[0135] A1, select a linear iterative method, including but not limited to: Jacobi iterative method, Gauss-Seidel iterative method;

[0136] A2, initial state setting, setting the initial cable force value;

[0137] Among them, the constraint condition for setting the initial cable force value is:

[0138] Condition 1: The initial cable force value is within the cable force test range;

[0139] Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium;

[0140] Among them, the identification process of whether the finite element model of the upper grid structure is in a balanced state is:

[0141] According to the design scheme of the upper grid structure, the design parameters of the upper grid structure in the design scheme are obtained, and the design parameters of the upper grid structure are input into the finite element analysis software to construct a finite element design model of the upper grid structure. When the initial cable force value is selected to simulate the finite element model of the upper grid structure, various state parameters of the finite element model of the upper grid structure are obtained respectively, and various state parameters of the finite element model of the upper grid structure are subjected to corresponding difference processing with various state parameters of the finite element design model of the upper grid structure to obtain parameter differences corresponding to various state parameters, and the parameter differences corresponding to various state parameters are compared with the standard range of parameter differences, specifically:

[0142] Parameter difference based on any state parameter;

[0143] If the parameter difference of the state parameter is within the parameter difference standard range, the state parameter is marked as a qualified state parameter;

[0144] If the parameter difference of the state parameter is not within the parameter difference standard range, the state parameter is marked as an unqualified state parameter;

[0145] It should be noted that the parameter difference standard range represents the range of allowable changes in various state parameters, and the parameter difference standard range is set by those skilled in the art according to design requirements;

[0146] Count the number of unqualified state parameters and compare it with the total number of state parameters to obtain the unqualified number ratio;

[0147] Perform difference processing on the parameter difference of the unqualified state parameter and the endpoint value of the adjacent parameter difference standard range, and take the absolute value of the difference to obtain the parameter difference deviation value, sum and average the parameter difference deviation values ​​of all unqualified state parameters to obtain the parameter difference deviation mean, perform ratio processing on the parameter difference deviation mean and the parameter difference standard value to obtain the parameter difference deviation performance value;

[0148] It should be noted that the parameter difference standard value is obtained by summing and averaging the two endpoint values ​​of the parameter difference standard range;

[0149] The balance performance value is obtained by summing the ratio of the number of non-conforming items and the performance value of the parameter difference deviation;

[0150] comparing the balance performance value to a balance performance threshold;

[0151] If the balance performance value is greater than the balance performance threshold, it means that the finite element model of the upper grid structure is not in a balanced state;

[0152] If the balance performance value is less than or equal to the balance performance threshold, it means that the finite element model of the upper grid structure is in a balanced state;

[0153] Exemplarily, the process of selecting the nonlinear iteration method to adjust the cable force of the annular pull-down cable is:

[0154] B1, select a nonlinear iterative method, including but not limited to: Newton-Raphson method or modified Newton method;

[0155] B2, initial state setting, setting the initial cable force value;

[0156] Among them, the constraint condition for setting the initial cable force value is:

[0157] Condition 1: The initial cable force value is within the cable force test range;

[0158] Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium;

[0159] Among them, the constraint conditions 1 and 2 of the initial cable force value in the nonlinear iteration are the same as the constraint conditions 1 and 2 of the initial cable force value in the linear iteration respectively;

[0160] Condition 3: The initial cable force value is less than the midpoint value of the cable force test;

[0161] The midpoint value of the cable force test is obtained by summing the two endpoint values ​​of the cable force test range and taking the average value;

[0162] It should be noted that the setting basis of condition three is: to make the initial cable force value close to the minimum endpoint value of the cable force test range. On the one hand, since the structural characteristics of the upper grid structure are nonlinear, there is a high possibility of non-unique solutions in the corresponding nonlinear iteration. Making the initial cable force value close to the minimum endpoint value of the cable force test range is conducive to improving the iteration efficiency. On the other hand, the minimum endpoint value of the cable force test range is close to 0. In the installation of the upper grid structure, the cable force value is closer to 0 before the upper grid structure is installed. The better the installation effect is, because it can reduce the stress deformation of the upper grid structure after installation.

[0163] Iteration convergence configuration module: according to the selected iteration method, configure the matching iteration convergence rule. If the matching convergence rule is met, the iteration is stopped, and the cable force value corresponding to the iteration result is output as the adjustment cable force value. The cable force of the annular pull-down cable is adjusted according to the adjustment cable force value.

[0164] Exemplarily, if the selected iteration method is a linear iteration method, the matching iteration convergence rule is:

[0165] Rule 1: The cable force value corresponding to the iteration result is within the cable force test range;

[0166] Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements;

[0167] The judgment process of whether the annular cable is in the original position or the deviation from the original position meets the requirements is as follows:

[0168] When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the finite element model of the upper grid structure and the finite element design model of the upper grid structure are placed in the same two-dimensional coordinate system for comparison, specifically:

[0169] A number of simulation acquisition points are set on the annular cables in the finite element model of the upper grid structure, and the coordinates of each simulation acquisition point are obtained, specifically: A1(x1, y1), A2(x2, y2), A3(x3, y3) ... An(xn, yn), wherein An(xn, yn) represents the coordinates of the simulation acquisition point, n represents the number of the simulation acquisition point, xn represents the horizontal coordinate of the simulation acquisition point numbered n, and yn represents the vertical coordinate of the simulation acquisition point numbered n;

[0170] Similarly, several actual acquisition points are set on the annular cables in the finite element design model of the upper grid structure, and the coordinates of each actual acquisition point are obtained, specifically: B1(x1, y1), B2(x2, y2), B3(x3, y3)...Bz(xz, yz), where Bz(xz, yz) represents the coordinates of the actual acquisition point, z represents the number of the actual acquisition point, xz represents the horizontal coordinate of the simulated acquisition point numbered z, and yz represents the vertical coordinate of the simulated acquisition point numbered z;

[0171] It should be noted that the number of the set simulated collection points is the same as that of the actual collection points, and the set positions are the same in one-to-one correspondence. For example, the actual collection point numbered 1 and the simulated collection point numbered 1 have the same relative position relative to the annular cable.

[0172] Integrate the simulated collection points and actual collection points with the same number into one collection point group;

[0173] Based on any collection point group;

[0174] If the coordinates of the simulated collection points are consistent with the coordinates of the actual collection points in the collection point group, the collection point group is marked as a matching collection point group;

[0175] If the coordinates of the simulated collection points are inconsistent with the coordinates of the actual collection points in the collection point group, the collection point group is marked as a non-matching collection point group;

[0176] It should be noted that consistent coordinates mean that the horizontal coordinates correspond to the same and the vertical coordinates correspond to the same. Otherwise, the coordinates are inconsistent in other cases.

[0177] Count the number of non-matching collection point groups and perform ratio processing with the total number of collection point groups to obtain the number non-matching value;

[0178] In the non-matching collection point group, the distance between the simulated collection point and the actual collection point is calculated according to the coordinates of the simulated collection point and the actual collection point to obtain the deviation distance corresponding to the non-matching collection point group;

[0179] The deviation distances corresponding to all non-matching collection point groups are summed up and averaged to obtain the mean deviation distance, and the mean deviation distance is compared with the deviation distance threshold to obtain the non-matching degree value;

[0180] It should be noted that the deviation distance threshold is set by those skilled in the art based on experience, to facilitate the analysis and calculation of the position deviation degree of the annular cable;

[0181] The quantity mismatch value and the mismatch degree value are summed to obtain the position deviation performance value;

[0182] In some embodiments, the position deviation performance value is compared to a position deviation performance threshold;

[0183] If the position deviation performance value is greater than the position deviation performance threshold, it means that the annular cable is in the original position or the deviation from the original position does not meet the requirements;

[0184] If the position deviation performance value is less than or equal to the position deviation performance threshold, it means that the annular cable is in the original position or the deviation from the original position meets the requirements;

[0185] Exemplarily, if the selected iteration method is a nonlinear iteration method, the matching iteration convergence rule is:

[0186] Rule 1: The cable force value corresponding to the iteration result is within the cable force test range;

[0187] Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements;

[0188] Among them, rule 1 and rule 2 in the iteration rules matched by the nonlinear iteration method correspond to rule 1 and rule 2 in the iteration rules matched by the linear iteration method;

[0189] Rule 3: When the cable force value corresponding to the iteration result satisfies Rule 1 and Rule 2, an iteration monitoring period is preset, and the result of iteration is stable within the preset iteration monitoring period;

[0190] The process of judging whether the result of iteration within the preset iteration monitoring period is stable is as follows:

[0191] Within a preset iteration monitoring period, obtaining the cable force value corresponding to the iteration result;

[0192] Based on the cable force value corresponding to any iterative result;

[0193] If the cable force value corresponding to the iteration result satisfies rule 1 and rule 2, the cable force value corresponding to the iteration result is marked as the adapted cable force value;

[0194] If the cable force value corresponding to the iteration result does not satisfy rule one or rule two, the cable force value corresponding to the iteration result is marked as a non-adaptive cable force value;

[0195] The number of adapted cable stress values ​​among the cable stress values ​​corresponding to all iterative results is counted, and the ratio is processed with the total number of cable stress values ​​corresponding to all iterative results to obtain a stable value of the number, which is marked as GS.

[0196] Obtain all adaptive cable force values ​​and integrate them into an adaptive cable force value data group, obtain the variance value of the adaptive cable force value data group, obtain a stable deviation value and mark it as FC;

[0197] The obtained number stability value GS and stable deviation value FC are processed by data, and the formula is: A stable performance value WD is obtained, wherein z1 and z2 are both preset proportional coefficients;

[0198] In some embodiments, the stable performance value is compared to a stable performance threshold;

[0199] If the stable performance value is greater than the stable performance threshold, it means that the result of the iteration within the preset iteration monitoring period is stable;

[0200] If the stable performance value is less than or equal to the stable performance threshold, it means that the result of the iteration within the preset iteration monitoring period is unstable;

[0201] The technical solution of the embodiment of the present invention is: iteratively adjust the cable force according to the selected iteration method, and iterate by integrating the cable force adjustment requirements when installing the upper grid structure, so as to achieve accurate adjustment of the cable force while ensuring the safe and stable installation of the structure, and match the corresponding iterative convergence mechanism according to the different iterative methods of the structure. For example, in nonlinear iteration, due to the existence of non-unique solutions, a convergence judgment mechanism for the stability of the iterative results is added, and the setting of the initial cable force value is added to reduce the iteration range. On the basis of accurate iteration of cable force optimization, the iterative optimization efficiency is improved.

[0202] Example 3

[0203] The application of the intelligent feedback control system for construction of a ring-shaped cable-supported grid structure described in an embodiment of the present invention in the field of building construction.

[0204] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. Intelligent feed-back control system for construction of ring-shaped cable-supported grid structures, characterized by: include: Adjustment analysis module: during the construction of the annular cable-supported grid structure and when the upper grid structure is installed, the cable force value of the annular lower cable is obtained and compared with the preset cable force range. If the cable force value of the annular lower cable is greater than the maximum value of the preset cable force range, an adjustment signal is generated; Structural characteristic analysis module: after receiving the adjustment signal, construct the finite element model of the upper grid structure and the cable force test range, select several cable force values ​​within the cable force test range as the test cable force values ​​and perform simulation tests on the finite element model of the upper grid structure, record the state parameters of the upper grid structure during each simulation test, process and analyze to obtain the nonlinear performance value, and judge the structural characteristics of the upper grid structure according to the nonlinear performance value, wherein the structural characteristics include linear structural characteristics and nonlinear structural characteristics; Iterative selection module: After the structural characteristics of the upper grid structure are judged, a matching iterative method is selected according to the judgment result. If the structural characteristics of the upper grid structure are linear characteristics, a linear iterative method is selected to iteratively adjust the cable force of the annular lower cable. If the structural characteristics of the upper grid structure are nonlinear characteristics, a nonlinear iterative method is selected to iteratively adjust the cable force of the annular lower cable. Iterative adjustment module: iteratively adjust the cable force according to the selected iterative method; Iteration convergence configuration module: according to the selected iteration method, configure the matching iteration convergence rule. If the matching convergence rule is met, the iteration is stopped, and the cable force value corresponding to the iteration result is output as the adjustment cable force value. The cable force of the annular pull-down cable is adjusted according to the adjustment cable force value. The step of configuring the matching iterative convergence rule according to the selected iterative method includes: If the selected iteration method is a nonlinear iteration method, the matching iteration convergence rule is: Rule 1: The cable force value corresponding to the iteration result is within the cable force test range; Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements; Among them, rule 1 and rule 2 in the iteration rules matched by the nonlinear iteration method correspond to rule 1 and rule 2 in the iteration rules matched by the linear iteration method; Rule 3: When the cable force value corresponding to the iteration result satisfies Rule 1 and Rule 2, an iteration monitoring period is preset, and the result of iteration is stable within the preset iteration monitoring period; The process of judging whether the result of iteration within the preset iteration monitoring period is stable is as follows: Within a preset iteration monitoring period, obtaining the cable force value corresponding to the iteration result; Based on the cable force value corresponding to any iterative result; If the cable force value corresponding to the iteration result satisfies rule 1 and rule 2, the cable force value corresponding to the iteration result is marked as the adapted cable force value; The number of adapted cable stress values ​​among the cable stress values ​​corresponding to all iterative results is counted, and the ratio is processed with the total number of cable stress values ​​corresponding to all iterative results to obtain a stable value of the number, which is marked as GS. Obtain all adaptive cable force values ​​and integrate them into an adaptive cable force value data group, obtain the variance value of the adaptive cable force value data group, obtain a stable deviation value and mark it as FC; The obtained number stability value GS and stable deviation value FC are processed by data, and the formula is: A stable performance value WD is obtained, wherein z1 and z2 are both preset proportional coefficients; If the stable performance value is greater than the stable performance threshold, it means that the result of the iteration within the preset iteration monitoring period is stable.

2. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 1 is characterized in that: The cable force test range is constructed by the cable force value of the annular down-pull cable and the minimum value of the preset cable force range; The cable tension test range is divided into several equal cable tension test sub-ranges, and the endpoint value of each cable tension test sub-range is selected as the test cable tension value.

3. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 1 is characterized in that: The construction process of the finite element model of the upper grid structure is: S1, scanning the upper grid structure using a laser scanner to obtain three-dimensional point cloud data of the upper grid structure; S2, using the Poisson surface reconstruction algorithm, converts the point cloud data into a real three-dimensional mesh model; S3, extracting key parameters of the upper grid structure from the 3D grid model, including node coordinates, member length, and cross-sectional area; S4, determine the type of material used for the upper grid structure, including steel and aluminum alloy; and obtain the specific physical and mechanical properties of the material, including elastic modulus, Poisson's ratio, and yield strength; S5, inputting key parameters of the upper grid structure and properties of the materials used into finite element analysis software to construct a finite element model of the upper grid structure.

4. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 1 is characterized in that: The nonlinear performance value is obtained as follows: The finite element model of the upper grid structure is simulated and tested by testing the cable force value, and the state parameters of the upper grid structure are recorded during each simulation test; Based on the state parameters of any upper grid structure; Obtain the values ​​of the state parameters under simulation test conditions with different test cable force values, and construct a state change curve; Divide the state change curve into several sub-curves, and obtain the slope values ​​of the sub-curves; Connect the two ends of the state change curve with a straight line to obtain a linear reference line; If the slope value of the sub-curve is different from the slope value of the linear reference line in terms of sign, the sub-curve is marked as a non-co-directional sub-curve; Count the number of non-co-directional sub-curves in all sub-curves, and perform ratio processing with the total number of sub-curves to obtain the nonlinear co-directional value, which is marked as JL; Integrate the slope values ​​of all non-co-directional sub-curves into a slope data group, obtain the variance value of the slope data group, and mark it as CD; The obtained nonlinear same direction value JL and the variance value CD of the slope data group are processed by the formula: Obtaining a nonlinear coincidence value FX, where s1 and s2 are both preset proportional coefficients; If the nonlinear coincidence value FX is greater than the nonlinear coincidence threshold, the state parameter is marked as a nonlinear state parameter; Among all state parameters, the number of nonlinear state parameters is counted and compared with the total number of state parameters to obtain the nonlinear performance value.

5. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 1 is characterized in that: The process of iteratively adjusting the cable force according to the selected iterative method comprises: If the structural characteristics of the upper grid structure are linear characteristics, the linear iteration method is selected to iteratively adjust the cable force of the annular lower cable, specifically: A1, select the linear iteration method; A2, initial state setting, setting the initial cable force value; Among them, the constraint condition for setting the initial cable force value is: Condition 1: The initial cable force value is within the cable force test range; Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium; If the structural characteristics of the upper grid structure are nonlinear, the process of selecting the nonlinear iteration method to adjust the cable force of the annular lower cable is: B1, select nonlinear iterative method; B2, initial state setting, setting the initial cable force value; Among them, the constraint condition for setting the initial cable force value is: Condition 1: The initial cable force value is within the cable force test range; Condition 2: After the selected initial cable force value is applied to the finite element model of the upper grid structure, the finite element model of the upper grid structure must be in a state of equilibrium; Among them, the constraint conditions 1 and 2 of the initial cable force value in the nonlinear iteration are the same as the constraint conditions 1 and 2 of the initial cable force value in the linear iteration respectively; Condition 3: The initial cable force value is less than the midpoint value of the cable force test; The midpoint value of the cable tension test is obtained by summing and averaging the two endpoint values ​​of the cable tension test range.

6. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 5 is characterized by: The identification process that the finite element model of the upper grid structure must be in a balanced state is: The design parameters of the upper grid structure in the design scheme are obtained, and a finite element design model of the upper grid structure is constructed. When the initial cable force value is selected to simulate the finite element model of the upper grid structure, various state parameters of the finite element model of the upper grid structure are obtained respectively, and the various state parameters of the finite element model of the upper grid structure are subjected to corresponding difference processing with the various state parameters of the finite element design model of the upper grid structure to obtain the parameter difference corresponding to each state parameter, and the parameter difference corresponding to each state parameter is compared with the parameter difference standard range, specifically: Parameter difference based on any state parameter; If the parameter difference of the state parameter is not within the parameter difference standard range, the state parameter is marked as an unqualified state parameter; Count the number of unqualified state parameters and compare it with the total number of state parameters to obtain the unqualified number ratio; Perform difference processing on the parameter difference of the unqualified state parameter and the endpoint value of the adjacent parameter difference standard range, and take the absolute value of the difference to obtain the parameter difference deviation value, sum and average the parameter difference deviation values ​​of all unqualified state parameters to obtain the parameter difference deviation mean, perform ratio processing on the parameter difference deviation mean and the parameter difference standard value to obtain the parameter difference deviation performance value; The balance performance value is obtained by summing the ratio of the number of non-conforming items and the performance value of the parameter difference deviation; If the balance performance value is less than or equal to the balance performance threshold, it means that the finite element model of the upper grid structure is in a balanced state.

7. The intelligent feed-back control system for construction of annular cable-supported grid structure according to claim 1 is characterized by: The step of configuring the matching iterative convergence rule according to the selected iterative method includes: If the selected iteration method is a linear iteration method, the matching iteration convergence rule is: Rule 1: The cable force value corresponding to the iteration result is within the cable force test range; Rule 2: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the annular cable is in the original position or the deviation from the original position meets the requirements; The judgment process of whether the annular cable is in the original position or the deviation from the original position meets the requirements is as follows: When the finite element model of the upper grid structure is simulated and tested according to the cable force value corresponding to the iteration result, the finite element model of the upper grid structure and the finite element design model of the upper grid structure are placed in the same two-dimensional coordinate system for comparison, specifically: Setting a number of simulation acquisition points on the annular cables in the finite element model of the upper grid structure, and obtaining the coordinates of each simulation acquisition point; Similarly, several actual acquisition points are set on the annular cables in the finite element design model of the upper grid structure, and the coordinates of each actual acquisition point are obtained; Integrate the simulated collection points and actual collection points with the same number into one collection point group; Based on any collection point group; If the coordinates of the simulated collection points are inconsistent with the coordinates of the actual collection points in the collection point group, the collection point group is marked as a non-matching collection point group; Count the number of non-matching collection point groups and compare it with the total number of collection point groups to obtain the number non-matching value; In the non-matching collection point group, the distance between the simulated collection point and the actual collection point is calculated according to the coordinates of the simulated collection point and the actual collection point to obtain the deviation distance corresponding to the non-matching collection point group; The deviation distances corresponding to all non-matching collection point groups are summed up and averaged to obtain the mean deviation distance, and the mean deviation distance is compared with the deviation distance threshold to obtain the non-matching degree value; The quantity mismatch value and the mismatch degree value are summed to obtain the position deviation performance value; comparing the position deviation performance value to a position deviation performance threshold; If the position deviation performance value is less than or equal to the position deviation performance threshold, it means that the annular cable is in the original position or the deviation from the original position meets the requirements.

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