Adaptive Assembly Method for Prefabricated Space Frames Based on AI CNC Models

Abstract

This invention discloses an adaptive assembly method for prefabricated space frames based on an AI numerical control model. This invention relates to the field of prefabricated space frame technology and solves the problem that traditional assembly methods fail to adequately identify the consistency of stress characteristics at stress points. By monitoring stress changes during the counterweighting process, this invention generates and compares the characteristics of multiple sets of sections to be verified, enabling accurate judgment of the stress consistency and stability of similar nodes. This dynamic testing method not only promptly identifies potential problems in node assembly but also ensures consistent mechanical performance of similar nodes under load through confirmation at the compliance stage, further guaranteeing the reliability of the overall space frame structure. By comparing the stress data in the numerical control model with actual monitoring data and using difference verification to lock and execute the optimal installation angle, it achieves precise matching between the stress state of the installed nodes and the model's preset values.

Description

Technical Field

[0001] This invention relates to the field of prefabricated space frame technology, specifically to an adaptive assembly method for prefabricated space frames based on an AI numerical control model. Background Technology

[0002] In the field of prefabricated space frame structure assembly construction, traditional assembly methods often rely on manual experience for node alignment, angle adjustment and stress assessment, which has problems such as low assembly accuracy, low efficiency and difficulty in accurately controlling the stress state.

[0003] Application CN119185909A discloses a prefabricated net frame and assembly method suitable for on-site construction, including a base, casters, support poles, positioning units, and vertical locking units. This invention solves the following problems of existing ball net frames: difficulty in disassembling and assembling the various components, affecting portability and unsuitability for temporary matches; limited height adjustment distance of the net, preventing height adjustment for various ball games, thus limiting its applicability. This invention, by controlling the support poles to rotate to a horizontal position, facilitates picking up the support poles and base together, reducing overall size, saving space, and enabling quick assembly and storage, thus improving portability. Furthermore, by adjusting the length of the support poles, the net can be adaptively adjusted to different heights, adapting to different ball games, thereby improving the adaptability of this invention.

[0004] As critical force transmission components, the installation nodes connecting the space frame and supports are susceptible to stress concentration or imbalance due to deviations in their installation angles. Manual adjustments lack real-time comparison with theoretical models, making it difficult to ensure the nodes are in optimal stress conditions. Furthermore, space frame structures contain numerous installation nodes in different locations, with varying types of associated support structures and stress characteristics. Traditional methods for identifying and classifying similar nodes rely on manual judgment, leading to classification confusion, inconsistent assembly standards, and high rates of repetitive work. In addition, post-assembly performance verification often relies on static testing, which struggles to simulate dynamic stress changes under actual loads. The lack of quantitative methods for verifying consistency among similar nodes makes troubleshooting abnormal nodes time-consuming and labor-intensive, potentially creating structural safety hazards. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an adaptive assembly method for prefabricated space frames based on AI numerical control models, which solves the problem that the original assembly method does not fully identify whether the stress characteristics of the stress points are consistent.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an adaptive assembly method for prefabricated space frames based on AI numerical control models, comprising the following steps:

[0007] Step 1: Confirm the stress data associated with the installation nodes on the supports within the CNC model, and compare the confirmed data with the stress data observed during actual monitoring to determine the optimal installation angle and execute the procedure. The specific method is as follows:

[0008] The installation node is confirmed within the CNC model. The installation parts associated with the installation node are confirmed, and the axial force F and shear force L associated with the corresponding installation parts are locked. Different installation parts have different axial forces and shear forces, and their axial forces and shear forces are all preset values.

[0009] Confirm the effective cross-sectional area A associated with the bolts corresponding to the installation node, and based on the associated axial force F, use: F÷A=ZL to confirm the axial stress ZL associated with the corresponding installation node;

[0010] Next, confirm the shear area M of the bolts corresponding to the installation node, and simultaneously lock the total number n of the corresponding bolts. Use L÷(M×n)=JL to confirm the shear stress JL associated with the corresponding installation node.

[0011] The stress data of relevant installation nodes during the space frame assembly process are monitored. The monitored axial stress is calibrated as LZ and the monitored shear stress is calibrated as LJ. The difference between the real-time monitored LZ and LJ and the confirmed ZL and JL is verified. The value to be verified JY is confirmed by using |LZ-LJ|+|ZL-JL|=JY. Different values ​​of JY associated with different installation angles are confirmed. When the value of JY is at its minimum, the corresponding installation angle is locked, which is taken as the optimal installation angle and executed to complete the installation and assembly process of the corresponding space frame.

[0012] Step 2: From the CNC model, confirm the installation features associated with different installation nodes, then verify the confirmed installation features, and calibrate similar installation nodes. The specific method is as follows:

[0013] The installation nodes within the CNC model are identified one by one, the installation components associated with the corresponding installation nodes are confirmed, and the types of split brackets associated with the corresponding installation components are confirmed and recorded.

[0014] Record installation nodes with the same type of split bracket as similar installation nodes and keep a record of them.

[0015] Step 3: Based on the confirmed similar installation nodes and associated installation components, add counterweights to the installation components and conduct counterweight tests on the similar installation nodes. Confirm whether the similar installation nodes meet the test standards through the specific testing process. The specific method is as follows:

[0016] Based on the confirmed similar installation nodes and installation components, counterweight treatment is performed at a designated position above the installation component. The stress data generated by the similar installation nodes during the counterweight treatment process is recorded, and stress data change curves belonging to the corresponding similar installation nodes are generated.

[0017] The change segment is locked from the change curve of a single set of stress data. The change segment is the part of the curve where the stress data changes. If there is a discontinuity between different change segments, the determined change segment and the other part of the curve segment contained in between are collectively recorded as the segment to be verified. The multiple different segments to be verified associated with multiple different nodes of the same type of installation node are confirmed in turn.

[0018] Multiple test segments are placed in the same two-dimensional coordinate system. Based on the numerical characteristics of different total stresses of the test segments, the specific location of the test segments is determined. From the time period characteristics associated with several test segments, the initial time with the earliest time feature and the final time with the latest time feature are identified. Based on the initial time and the final time, the time period of change is identified. According to the identified time period of change, multiple test segments are controlled to move horizontally. The verification characteristics associated with each different movement stage are confirmed: the total stress data at the same time are compared to identify the maximum and minimum values ​​of the total stress data. The difference between the maximum and minimum values ​​is used to lock the total stress difference associated with the corresponding time. If the total stress difference is ≤ Y1, the current time point is recorded as the target point, and Y1 is the preset value. Otherwise, no record is made. The total time length CD associated with the current movement stage is recorded as SD, and the time length associated with the target point is recorded as SD. If SD ÷ CD ≥ 0.8, the current movement stage is the target stage.

[0019] If there is a qualified stage in a series of moving stages, it means that the test of the same type of installation node has passed; if there is no qualified stage, it means that the test of the same type of installation node has failed.

[0020] Step 4: For similar installation nodes that failed the test, identify the abnormal installation nodes based on the stress change characteristics of different nodes within the same type of installation node, and display them. The specific method is as follows:

[0021] If there are only two groups of similar installation nodes, then the two groups of similar installation nodes will be directly recorded as abnormal installation nodes and displayed.

[0022] If there are multiple groups of the same type of installation nodes:

[0023] The verification segments of different nodes within the same type of installation node are reconfirmed. A group of verification segments is randomly removed from different moving processes. The verification process between other verification segments is identified to see if there is a qualified stage. If so, the associated nodes of the removed verification segments are recorded as abnormal installation nodes and displayed. If not, other verification segments are removed, and abnormal installation nodes are identified and displayed directly.

[0024] If no abnormal installation nodes are identified during subsequent processing, two sets of segments to be verified are randomly removed, and the other segments to be verified are verified. This process is repeated to identify and display the existing abnormal installation nodes.

[0025] Preferably, the stress data variation curve is generated in the following ways:

[0026] The processing cycle in the counterweight processing is identified. The axial stress and shear stress generated by the corresponding installation nodes within the processing cycle are monitored in real time. The monitored axial stress and shear stress are summed to determine the total stress. Based on the time characteristics associated with the processing cycle, the different total stresses associated with different time nodes are identified, and stress data change curves for the corresponding installation nodes are generated.

[0027] Preferably, if SD÷CD<0.8, then continue to confirm other movement stages and confirm the achievement stage.

[0028] This invention provides an adaptive assembly method for prefabricated space frames based on AI numerical control models. Compared with existing technologies, it has the following advantages:

[0029] This invention compares the stress data in the CNC model with the actual monitoring data, and uses the difference verification method to lock the optimal installation angle and execute it, which can achieve a precise match between the stress state of the installation node and the model preset. This process fully combines the theoretical model and the actual working conditions, effectively avoiding stress concentration or force imbalance caused by installation angle deviation, ensuring that the space frame is in the optimal stress state at the beginning of assembly, and improving the stability and safety of the assembly structure from the source.

[0030] The counterweight test and stress change curve analysis of similar installation nodes provide a scientific and quantitative basis for verifying node performance. By monitoring the stress changes during the counterweight process and generating and comparing the characteristics of multiple sets of sections to be verified, the consistency and stability of the stress on similar nodes can be accurately judged. This dynamic testing method can not only promptly identify potential problems in node assembly, but also ensure that similar nodes exhibit consistent mechanical properties when bearing loads through the confirmation of the standard stage, further guaranteeing the reliability of the overall space frame structure. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] First Embodiment

[0034] Please see Figure 1 This application provides an adaptive assembly method for prefabricated space frames based on AI numerical control models, including the following steps:

[0035] Step 1: Confirm the stress data associated with the installation nodes on the supports in the CNC model, and compare the confirmed data with the stress data during the actual monitoring process to determine the optimal installation angle and execute the procedure. Specifically, there are installation nodes on the CNC model that are associated with the corresponding space frame and supports. These installation nodes are connected with relevant bolts to fix the space frame. During the actual installation process, in order to make the stress data between the installed space frame contact nodes and the corresponding connection nodes in the model relatively consistent, the installation angle of the corresponding installation nodes can be adjusted to make the corresponding installation nodes be in the optimal installation state.

[0036] The specific method for locking the optimal installation angle is as follows:

[0037] The installation nodes are confirmed within the CNC model. The installation parts associated with the installation nodes are confirmed, and the axial force F and shear force L associated with the corresponding installation parts are locked. Different installation parts have different axial forces and shear forces, and the axial forces and shear forces are preset values, which are determined in advance by the operator based on experience.

[0038] Confirm the effective cross-sectional area A associated with the bolt corresponding to the installation node (obtained based on the nominal diameter of the corresponding bolt), and based on the associated axial force F, use: F÷A=ZL to confirm the axial stress ZL associated with the corresponding installation node;

[0039] Next, confirm the shear area M of the bolts corresponding to the installation node, and simultaneously lock the total number n of the corresponding bolts. Use L÷(M×n)=JL to confirm the shear stress JL associated with the corresponding installation node.

[0040] The stress data of relevant installation nodes during the space frame assembly process is monitored. The monitored axial stress is calibrated as LZ and the monitored shear stress is calibrated as LJ. The stress data monitoring is carried out by the corresponding sensors and the data acquisition process is completed. The difference between the real-time monitored LZ and LJ and the confirmed ZL and JL is verified. The value to be verified JY is confirmed by using |LZ-LJ|+|ZL-JL|=JY. Different values ​​of JY associated with different installation angles are confirmed. When the value of JY is at its minimum, the corresponding installation angle is locked and taken as the optimal installation angle and executed to complete the installation and assembly process of the corresponding space frame.

[0041] Specifically, different installation angles result in different stress manifestations. Based on the corresponding data monitoring process, the specific manifestation of the corresponding stress can be confirmed. Subsequently, based on the monitoring process and the confirmation process of the model, the stress data corresponding to the installation node is adjusted and verified in real time to enable the corresponding space frame to achieve the optimal installation and assembly process and the optimal installation effect.

[0042] Step 2: From the CNC model, confirm the installation features associated with different installation nodes, then verify the confirmed installation features, and calibrate similar installation nodes. The specific method for calibrating similar installation nodes is as follows:

[0043] Each installation node in the CNC model is identified, and the installation components associated with each installation node are confirmed. The type of split bracket associated with each installation component is also confirmed and recorded. When installing the corresponding space frame, it needs to be assembled in advance. The assembled space frame contains several different split brackets. The total number of split brackets associated with space frames installed in different positions is different. Therefore, installation nodes of the same type can be confirmed. The space frames associated with installation nodes of the same type are the same.

[0044] Installation nodes with the same type of split bracket are recorded as installation nodes of the same type.

[0045] Step 3: Based on the confirmed similar installation nodes and associated installation components, add counterweights to the installation components and conduct counterweight tests on the similar installation nodes. Confirm whether the similar installation nodes meet the test standards through the specific testing process. The specific method for conducting the counterweight test is as follows:

[0046] Based on the confirmed similar installation nodes and components, counterweight treatment is performed at designated locations above the installation components. These designated locations are all predetermined by the operators and generally have characteristic locations, such as the most obvious corner features. The stress data generated by similar installation nodes during the counterweight treatment process is recorded, and stress data change curves for the corresponding similar installation nodes are generated.

[0047] The counterweight processing process has a processing cycle. The axial stress and shear stress generated by the corresponding installation nodes of the same type within the processing cycle are monitored in real time. The monitored axial stress and shear stress are summed to confirm the total stress. Based on the time characteristics associated with the processing cycle, the different total stresses associated with different time nodes are confirmed, and stress data change curves belonging to the corresponding installation nodes of the same type are generated.

[0048] The change segment is locked from the change curve of a single set of stress data. The change segment is the part of the curve where the stress data changes. If there is a discontinuity between different change segments (that is, there are unchanging segments between corresponding change segments), the determined change segment and the other part of the curve segment contained in between are collectively recorded as the segment to be verified. The multiple different segments to be verified associated with multiple different nodes of the same type of installation node are confirmed in turn.

[0049] Multiple test segments are placed in the same two-dimensional coordinate system. Based on the numerical characteristics (stress values ​​and time values) of different total stresses of the test segments, the specific locations of the test segments are determined. From the time period characteristics associated with several test segments, the initial time with the foremost time characteristic and the final time with the last time characteristic are identified. Based on the initial and final times, the time period of change is determined. Multiple test segments are then horizontally moved according to the identified time period of change (during movement, the time characteristics of corresponding points are not considered; only the numerical characteristics of the total stress are considered, and the time characteristics during the movement must not exceed the identified time period of change). The verification characteristics associated with each different movement stage are then analyzed. Confirmation: The total stress data at the same moment are compared to confirm the maximum and minimum values ​​of the total stress data. The difference between the maximum and minimum values ​​is used to lock the total stress difference associated with the corresponding moment. If the total stress difference is ≤ Y1, the current moment is recorded as the target point, where Y1 is a preset value (the specific value is determined by the operator based on experience). Otherwise, no record is made. The total time length CD associated with the current movement stage is recorded as SD, and the time length associated with the target point is recorded as SD. If SD ÷ CD ≥ 0.8, the current movement stage is considered a target stage. Otherwise, other movement stages are continuously confirmed and target stages are confirmed.

[0050] After several movement stages (within each movement stage, the movement characteristics of the segment to be verified will not be repeated) have been verified, if there is a qualified stage, it means that the test of the same type of installation node has passed; if there is no qualified stage, it means that the test of the same type of installation node has failed.

[0051] Specifically, since there are different mounting components between corresponding installation nodes, similar installation nodes can be identified based on the characteristics of the components. During the counterweight test, the stress data of similar installation nodes should have consistent characteristics. Therefore, after confirming the section to be verified, the movement process can be identified from the specific confirmation process to determine whether it meets the standard. Based on the specific identification process, the stress value change process of similar installation nodes can be effectively judged. In this way, a comprehensive judgment can be made to identify whether specific adjustments need to be made to the nodes in the assembly process to ensure the assembly effect.

[0052] Step 4: For similar installation nodes that failed the test, identify the abnormal installation nodes based on the stress change characteristics of different nodes within the same type of installation node, and display them.

[0053] The specific method for confirming abnormal installation nodes is as follows:

[0054] If there are only two groups of similar installation nodes, then the two groups of similar installation nodes will be directly recorded as abnormal installation nodes and displayed.

[0055] If there are multiple groups of the same type of installation nodes (normally there are four groups):

[0056] The verification segments of different nodes within the same type of installation node are reconfirmed. A group of verification segments is randomly removed from different moving processes. The verification process between other verification segments is identified to see if there is a qualified stage. If so, the associated nodes of the removed verification segments are recorded as abnormal installation nodes and displayed. If not, other verification segments are removed, and abnormal installation nodes are identified and displayed directly.

[0057] If no abnormal installation nodes are identified during subsequent processing, two sets of segments to be verified are randomly removed, and the other segments to be verified are verified. This process is repeated to identify and display the existing abnormal installation nodes.

[0058] Specifically, the stress data change process of abnormal installation nodes will deviate significantly from the data change process of similar installation nodes. Therefore, in order to better identify abnormal installation nodes, it is necessary to confirm different sections to be verified in order to identify the corresponding abnormal installation nodes and to identify whether the verification of other sections to be verified meets the standards. If the verification meets the standards, it means that the deviation of the corresponding section to be verified is too large, which is the corresponding abnormal installation node.

[0059] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0060] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An adaptive assembly method for prefabricated space frames based on AI numerical control models, characterized in that, Includes the following steps: Step 1: Confirm the stress data associated with the installation nodes on the support in the CNC model, compare the confirmed data with the stress data during the actual monitoring process, determine the optimal installation angle, and execute the procedure. Step 2: From the CNC model, confirm the installation features associated with different installation nodes, then verify the confirmed installation features, and calibrate similar installation nodes; Step 3: Based on the confirmed similar installation nodes and associated installation components, add counterweights to the installation components and conduct counterweight tests on the similar installation nodes. Confirm whether the similar installation nodes meet the test standards through the specific testing process. The specific method is as follows: Based on the confirmed similar installation nodes and installation components, counterweight treatment is performed at a designated position above the installation component. The stress data generated by the similar installation nodes during the counterweight treatment process is recorded, and stress data change curves belonging to the corresponding similar installation nodes are generated. The change segment is locked from the change curve of a single set of stress data. The change segment is the part of the curve where the stress data changes. If there is a discontinuity between different change segments, the determined change segment and the other part of the curve segment contained in between are collectively recorded as the segment to be verified. The multiple different segments to be verified associated with multiple different nodes of the same type of installation node are confirmed in turn. Multiple test segments are placed in the same two-dimensional coordinate system. Based on the numerical characteristics of different total stresses of the test segments, the specific location of the test segments is determined. From the time period characteristics associated with several test segments, the initial time with the earliest time feature and the final time with the latest time feature are identified. Based on the initial time and the final time, the time period of change is identified. According to the identified time period of change, multiple test segments are controlled to move horizontally. The verification characteristics associated with each different movement stage are confirmed: the total stress data at the same time are compared to identify the maximum and minimum values ​​of the total stress data. The difference between the maximum and minimum values ​​is used to lock the total stress difference associated with the corresponding time. If the total stress difference is ≤ Y1, the current time point is recorded as the target point, and Y1 is the preset value. Otherwise, no record is made. The total time length CD associated with the current movement stage is recorded as SD, and the time length associated with the target point is recorded as SD. If SD ÷ CD ≥ 0.8, the current movement stage is the target stage. If there is a qualified stage in a series of moving stages, it means that the test of the same type of installation node has passed; if there is no qualified stage, it means that the test of the same type of installation node has failed. Step 4: For similar installation nodes that failed the test, identify the abnormal installation nodes based on the stress change characteristics of different nodes within the same type of installation node, and display them.

2. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 1, characterized in that, In step one, the specific method for locking the optimal installation angle is as follows: The installation node is confirmed within the CNC model. The installation parts associated with the installation node are confirmed, and the axial force F and shear force L associated with the corresponding installation parts are locked. Different installation parts have different axial forces and shear forces, and their axial forces and shear forces are all preset values. Confirm the effective cross-sectional area A associated with the bolts corresponding to the installation node, and based on the associated axial force F, use: F÷A=ZL to confirm the axial stress ZL associated with the corresponding installation node; Next, confirm the shear area M of the bolts corresponding to the installation node, and simultaneously lock the total number n of the corresponding bolts. Use L÷(M×n)=JL to confirm the shear stress JL associated with the corresponding installation node. The stress data of relevant installation nodes during the space frame assembly process are monitored. The monitored axial stress is calibrated as LZ, and the monitored shear stress is calibrated as LJ. The difference between the real-time monitored LZ and LJ and the confirmed ZL and JL is verified. The value to be verified, JY, is confirmed by using |LZ-LJ|+|ZL-JL|=JY. Different values ​​of JY associated with different installation angles are also confirmed. When the value of JY is at its minimum, the corresponding installation angle is locked, taken as the optimal installation angle, and executed to complete the installation and assembly process of the corresponding space frame.

3. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 1, characterized in that, In step two, the specific method for calibrating similar installation nodes is as follows: The installation nodes within the CNC model are identified one by one, the installation components associated with the corresponding installation nodes are confirmed, and the types of split brackets associated with the corresponding installation components are confirmed and recorded. Installation nodes with the same type of split bracket are recorded as installation nodes of the same type.

4. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 1, characterized in that, The stress data variation curve is generated in the following ways: The processing cycle in the counterweight processing is identified. The axial stress and shear stress generated by the corresponding installation nodes within the processing cycle are monitored in real time. The monitored axial stress and shear stress are summed to determine the total stress. Based on the time characteristics associated with the processing cycle, the different total stresses associated with different time nodes are identified, and stress data change curves for the corresponding installation nodes are generated.

5. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 1, characterized in that, If SD÷CD<0.8, continue to verify other movement stages and verify the achievement stage.

6. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 1, characterized in that, In step four, the specific method for confirming abnormal installation nodes is as follows: If there are only two groups of similar installation nodes, then both groups of similar installation nodes will be recorded as abnormal installation nodes and displayed.

7. The adaptive assembly method for prefabricated space frames based on AI numerical control models according to claim 6, characterized in that, In step four, the specific methods for confirming abnormal installation nodes also include: If there are multiple groups of the same type of installation nodes: The verification segments of different nodes within the same type of installation node are reconfirmed. A group of verification segments is randomly removed from different moving processes. The verification process between other verification segments is identified to see if there is a qualified stage. If so, the associated nodes of the removed verification segments are recorded as abnormal installation nodes and displayed. If not, other verification segments are removed, and abnormal installation nodes are identified and displayed directly. If no abnormal installation nodes are identified during subsequent processing, two sets of segments to be verified are randomly removed, and the other segments to be verified are verified. This process is repeated to identify and display the existing abnormal installation nodes.

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