Intelligent optimized arrangement method for shaft sinking hanging scaffold steel wire rope suspension points

Abstract

The invention discloses an intelligent optimization arrangement method for steel wire rope suspension points of a sinking platform. The method comprises the following steps: constructing a three-dimensional BIM model and a three-dimensional FEM model of the sinking platform; determining a plurality of typical analysis working conditions, and preliminarily selecting a combination scheme; statics responses of the sinking scaffold structure under different combined working conditions are calculated, core result data are obtained and transmitted back to the sinking scaffold three-dimensional BIM model, key characteristic quantities are determined through quantitative calculation, and stress balance evaluation is completed in an automatic comparison mode; meanwhile, a visual cloud picture is generated; based on the visual cloud picture and the stress balance evaluation result, whether the stress balance of the steel wire rope and the overall stability of the hanging scaffold under the current suspension point arrangement scheme reach the standard or not is evaluated; performing quantitative solution on key equipment arrangement and a steel wire rope suspension scheme which meet the requirements by utilizing a mathematical optimization technology; and finally verifying the optimal scheme, and applying the optimal scheme to the actual vertical shaft sinking engineering after verification is passed. According to the method, the safety of the vertical shaft sinking hanging scaffold construction operation can be effectively guaranteed.

Description

Technical Field

[0001] This invention belongs to the field of intelligent control technology for well drilling equipment, specifically relating to an intelligent optimization arrangement method for the suspension points of the wire rope on a well drilling platform. Background Technology

[0002] In vertical shaft sinking operations, the sinking platform serves as the core platform for personnel work, equipment installation, and material storage within the shaft. Its safety, stability, and ability to be horizontally suspended within the shaft are crucial. Currently, sinking platforms commonly employ multi-point wire rope suspension systems. The location of the wire rope suspension points and the balance of force directly determine the sinking platform's posture and stability, and consequently, the safety of the entire shaft sinking suspension system. However, the traditional arrangement of the sinking platform's suspension wire ropes does not consider the impact of equipment placement on the platform, such as center of gravity shift, uneven force and deformation of the wire ropes. This leads to difficulties in leveling the sinking platform in actual projects, low hoisting efficiency within the shaft, and even safety accidents such as jamming or wire rope breakage. The core issue is that the arrangement of the suspension wire ropes on the well sinking platform does not take into account the specific circumstances of the construction equipment selection and installation location. Consequently, it cannot accurately reflect the actual spatial distribution of the load on the well sinking platform. Therefore, the traditional, simple symmetrical arrangement method is unlikely to achieve the ideal state of stress and deformation equilibrium of the suspension wire ropes. To effectively solve these problems, there is an urgent need to provide an intelligent optimization arrangement method for the suspension points of the well sinking platform wire ropes. Summary of the Invention

[0003] To address the problems existing in the prior art, this invention provides an intelligent optimization arrangement method for the suspension points of the wire rope on the well sinking platform. This method is simple to implement and has low implementation costs. It can improve the stress balance and overall stability of the wire rope suspended from the well sinking platform, and can promptly eliminate the potential stress imbalance risk in the layout scheme of the well sinking platform equipment in the vertical shaft, thus effectively ensuring the safety of the construction operation of the well sinking platform in the vertical shaft.

[0004] To achieve the above objectives, the present invention provides a method for intelligent optimization of the arrangement of wire rope suspension points on a well sinking platform, comprising the following steps: Step 1: Construct a 3D BIM model of the well drilling platform; Step 2: Establish a 3D FEM model of the well sinking platform; Step 3: Determine typical working conditions and preliminary suspension scheme; S31: Based on the experience of shaft sinking construction and the use of sinking equipment, determine a variety of typical analysis conditions based on the three-dimensional BIM model of the sinking platform; at the same time, apply equivalent equipment loads and wire rope suspension boundary conditions that match the working conditions at the corresponding positions in the three-dimensional FEM model of the sinking platform. S32: Based on the determined typical working conditions, establish the spatial coordinate values ​​and adjustment range of the center of gravity of each key piece of equipment, and combine engineering experience to initially select the location and combination scheme of the wire rope suspension point; Step 4: Perform static analysis based on the 3D FEM model of the well sinking platform and transmit the analysis results back; S41: Calculate the static response of the well sinking platform structure under different combined working conditions using the three-dimensional FEM model of the well sinking platform to obtain the core result data of the well sinking platform. S42: The core result data of the well sinking platform is sent back to the 3D BIM model of the well sinking platform. The evaluation algorithm built into the 3D BIM model of the well sinking platform retrieves the data, determines the key feature quantities through quantitative calculation, and automatically compares the calculation results with the design values ​​to complete the stress balance assessment. S43: Combine the 3D BIM model of the well sinking platform to generate a visual cloud map, which intuitively presents the stress balance of the wire rope and the overall stability of the platform. Step 5: Evaluation, optimization, and iterative model updates; Based on the visualization cloud map and the force balance assessment results, evaluate whether the force balance of the wire rope and the overall stability of the hoisting platform under the current suspension point layout scheme meet the standards. If not, adjust the position of the wire rope suspension point and the position of the key equipment according to the optimization direction judged by the technical personnel, and update the 3D BIM model and 3D FEM model of the hoisting platform simultaneously. Repeat step four to enter a new round of iterative calculation and achieve closed-loop iterative optimization. Step Six: Solve for the optimal solution using mathematical optimization methods; Based on the previous multiple rounds of optimization, typical characteristic quantities were selected as optimization objectives. Mathematical optimization techniques were used to quantitatively solve all the key equipment layout and wire rope suspension schemes that meet the requirements, and finally the optimal scheme with the most balanced force on the well drilling equipment layout and wire rope suspension was determined. Step 7: Verify the optimal solution and apply it in engineering. The determined optimal solution is finally verified to ensure that it meets the preset optimization goals of wire rope stress balance and overall stability of the hoisting platform. After the verification is passed, the optimal solution is applied to the actual shaft sinking project.

[0005] Furthermore, in order to provide comprehensive and accurate basic data support for subsequent collaborative analysis and avoid analytical biases caused by missing data, the process of establishing the 3D BIM model of the well drilling platform in step one is as follows: Based on the construction organization design requirements of the vertical shaft, BIM technology software was selected to build a complete three-dimensional BIM model of the shaft sinking platform. The three-dimensional BIM model of the shaft sinking platform includes geometric and material information, as well as information related to the shaft sinking equipment.

[0006] Furthermore, to ensure the consistency of core information such as geometric dimensions and spatial location between the two models, and to avoid data deviations caused by model heterogeneity, thus guaranteeing the accuracy of collaborative analysis, the process of establishing the 3D FEM model of the well sinking platform in step two is as follows: The 3D BIM model of the well sinking platform is synchronously imported into the finite element analysis software and converted into a 3D FEM model of the well sinking platform. The 3D FEM model of the well sinking platform is then assigned analytical attributes and the boundary conditions of the model are clarified to ensure that the model is consistent with the actual engineering scenario, thus realizing the same source data association between the 3D BIM model and the 3D FEM model of the well sinking platform.

[0007] Furthermore, to ensure both comprehensive analysis and logical coherence, and to provide accurate data support for subsequent collaborative iteration and optimization decisions, in step four, S41, the static response process of the well sinking platform structure under different combined working conditions is calculated using the three-dimensional FEM model of the well sinking platform as follows: The structural stress of the sinking platform under different sinking equipment layouts and typical working conditions of wire rope suspension was analyzed in depth using a three-dimensional FEM model of the sinking platform. For each typical working condition, a static analysis of the sinking platform structure was performed to obtain the results data and establish the correlation between the equipment layout and the parameters of the typical working conditions of wire rope suspension and the structural stress of the sinking platform within the adjustment range.

[0008] Furthermore, in order to objectively quantify the characteristic quantities through a clear formula and to achieve a more accurate assessment of the force balance, the force balance assessment process in step S42 of step four is as follows: S42-1: Calculate the deviation rate of the suspension force of a single wire rope on the well sinking platform according to formula (1). ; (1); S42-2: Calculate the horizontal displacement of the well sinking platform measuring point according to formula (2). ; (1); In the formula, , These are the horizontal x-axis and y-axis coordinates of the measuring point, respectively. S42-3: Based on the wire rope suspension force deviation rate Horizontal displacement of the well sinking platform The stress balance of the wire rope suspending the well sinking platform is divided into four evaluation result states; when ,and It displays a green color mark and issues a prompt message indicating balanced force. when ,and It displays a yellow color mark and sends a notification message indicating that it is under surveillance. when ,and It displays an orange color mark and issues a prompt message indicating the rope adjustment; when ,and It displays a red color mark and issues an over-limit warning message, while simultaneously triggering the alarm control to perform an alarm action.

[0009] In this invention, firstly, the suggestions from the 3D BIM model and 3D FEM model of the drilling platform facilitate collaborative analysis. Secondly, by combining construction experience to determine typical working conditions, different layouts of key equipment can be effectively covered. Simultaneously, applying equivalent loads and boundary conditions to the 3D FEM model of the drilling platform ensures that the working condition analysis covers the main scenarios during construction, significantly improving the applicability of the solution. The initial solution selection stage, combined with engineering experience, reduces the iterative costs of subsequent optimization. Next, in the static analysis process, key characteristic quantities are determined through quantitative calculations, avoiding biases from subjective judgments. Simultaneously, the generation of a visual cloud map from the 3D BIM model makes the results of force balance and stability intuitive and easy to understand, facilitating rapid judgment of optimization directions by technical personnel and improving decision-making efficiency. The accurate feedback of the analysis results from the 3D FEM model to the 3D BIM model is achieved by the 3D BIM model using its built-in algorithm to complete the force balance assessment, fully leveraging the mechanical analysis advantages of the FEM model and the visualization and data management advantages of the BIM model, collaboratively realizing a precise analysis process. Furthermore, based on model iterative updates, the step of technical personnel judging the optimization direction is retained. This fully utilizes the efficiency of model iteration and effectively leverages expert experience to avoid extreme situations that may occur in automatic optimization, thus improving the reliability of the optimization process. Then, typical characteristic quantities quantified in the previous analysis are selected as optimization targets to ensure that the optimization direction is consistent with the previous analysis, avoiding a disconnect between the optimization target and evaluation criteria, and improving the rationality of the optimal solution. Mathematical optimization techniques are used to quantitatively solve for solutions that meet the requirements. Compared with simple iterative calculations, this can more accurately identify the solution with the most balanced force, improving the scientific nature of the optimization results and reducing errors from human calculations. Finally, through a final verification step, it is ensured that the optimal solution effectively meets the preset force balance and stability targets, preventing unverified solutions from being directly applied to actual engineering projects and reducing construction safety risks. This invention fully integrates the collaborative logic of BIM technology and FEM methods, leveraging the advantages of BIM models in three-dimensional visualization and data integrity while relying on the precise mechanical analysis capabilities of FEM models. This achieves data consistency and complementary advantages, improving the accuracy and efficiency of solution analysis. At the same time, by combining quantitative analysis with experience, subjective biases are avoided and scientific rigor and practicality are balanced, ensuring that the solution meets theoretical requirements and is adaptable to actual construction scenarios.

[0010] This method is simple to implement and low in cost. It allows for convenient adjustment and optimization of the selection of suspension wire ropes and the location of suspension points on the drilling platform based on the actual layout of drilling equipment and load distribution. This effectively avoids unfavorable conditions where a single or a few wire ropes are overloaded while others are underloaded under complex working conditions. Simultaneously, it reduces the safety risks of tilting, twisting, or even instability of the drilling platform during construction, contributing to improved safety of the drilling platform equipment and efficiency of drilling operations. The optimized layout method of this invention improves the stress balance and overall stability of the suspension wire ropes on the drilling platform and can promptly eliminate potential stress imbalance risks in the layout of the vertical shaft drilling platform equipment, effectively ensuring the safety of vertical shaft drilling platform construction operations. Attached Figure Description

[0011] Figure 1 This is a flowchart of the present invention; Figure 2 This is a schematic diagram of the three-dimensional BIM model of the well drilling platform in this invention; Figure 3 This is a schematic diagram of the three-dimensional FEM model of the well drilling platform in this invention.

[0012] In the diagram: 1. Ring beam, 2. Main beam, 3. Column, 4. Water tank, 5. Signal room, 6. Horizontal pump, 7. Rock grabber, 8. Trumpet mouth, 9. Ladder, 10. Suspension point. Detailed Implementation

[0013] The invention will now be further described with reference to the accompanying drawings.

[0014] like Figures 1 to 3 As shown, this invention provides a method for intelligent optimization of the arrangement of wire rope suspension points on a well sinking platform, comprising the following steps: Step 1: Construct a 3D BIM model of the well drilling platform; Step 2: Establish a 3D FEM model of the well sinking platform; Step 3: Determine typical working conditions and preliminary suspension scheme; S31: Based on the experience of vertical shaft sinking construction and the usage of sinking equipment, various typical analysis conditions are determined based on the 3D BIM model of the sinking platform (covering different layout positions of key equipment such as horizontal pumps and rock grabbers); at the same time, equivalent equipment loads (uniformly distributed loads or concentrated loads) and wire rope suspension boundary conditions are applied at the corresponding positions in the 3D FEM model of the sinking platform to ensure the authenticity and accuracy of the analysis of the working conditions. S32: Based on the determined typical working conditions, establish the spatial coordinate values ​​and adjustment range of the center of gravity of each key equipment, and combine engineering experience to initially select the location and combination scheme of the wire rope suspension point, providing a basic scheme for subsequent static analysis; Step 4: Perform static analysis based on the 3D FEM model of the well sinking platform and transmit the analysis results back; S41: Using the three-dimensional FEM model of the well sinking platform, the static response of the well sinking platform structure under different combinations of working conditions (different equipment layouts, different suspension points) is calculated sequentially to obtain core result data such as stress and strain of well sinking platform components, wire rope suspension force, and structural deformation. S42: The core result data of the well sinking platform is sent back to the 3D BIM model of the well sinking platform. The evaluation algorithm built into the 3D BIM model of the well sinking platform retrieves the data, determines the key feature quantities through quantitative calculation, and automatically compares the calculation results with the design values ​​to complete the stress balance assessment. S43: Combine the 3D BIM model of the well sinking platform to generate a visual cloud map, which intuitively presents the stress balance of the wire rope and the overall stability of the platform. Step 5: Evaluation, optimization, and iterative model updates; Based on the visualization cloud map and the force balance assessment results, evaluate whether the force balance of the wire rope and the overall stability of the hoisting platform under the current suspension point layout scheme meet the standards. If not, adjust the position of the wire rope suspension point and the position of the key equipment according to the optimization direction judged by the technical personnel, and update the 3D BIM model and 3D FEM model of the hoisting platform simultaneously. Repeat step four to enter a new round of iterative calculation and achieve closed-loop iterative optimization. Step Six: Solve for the optimal solution using mathematical optimization methods; Based on the previous multiple rounds of optimization, typical characteristic quantities were selected as optimization objectives. Mathematical optimization techniques such as the least squares method were used to quantitatively solve all the key equipment layout and wire rope suspension schemes that meet the requirements. Finally, the optimal scheme with the most balanced force on the well drilling equipment layout and wire rope suspension was determined. Step 7: Verify the optimal solution and apply it in engineering. The determined optimal solution is finally verified to ensure that it meets the preset optimization goals of wire rope stress balance and overall stability of the hoisting platform. After the verification is passed, the optimal solution is applied to the actual shaft sinking project.

[0015] To provide comprehensive and accurate basic data support for subsequent collaborative analysis and to avoid analytical biases caused by missing data, the process of establishing the 3D BIM model of the well drilling platform in step one is as follows: Based on the construction organization design requirements of the vertical shaft, BIM technology software (such as Revit) is selected to build a complete three-dimensional BIM model of the shaft sinking platform. The three-dimensional BIM model of the shaft sinking platform includes geometric and material information, as well as information related to the shaft sinking equipment.

[0016] As a preferred embodiment, the geometric and material information includes the cross-sectional parameters of the well sinking platform beam grid structure such as ring beams, main beams, and columns; the material type of the well sinking platform beam grid structure such as ring beams, main beams, and columns; and the spatial coordinates of the well sinking platform beam grid structure such as ring beams, main beams, and columns. As a preferred option, the information related to the drilling equipment includes the model, specifications, layout, and load parameters of drilling equipment such as rock grabbers and horizontal pumps; like Figure 2 Example diagrams of a 3D BIM model of a well sinking platform are provided, which show the main structure of the well sinking platform, including ring beam 1, main beam 2, and column 3. They also show the emergency equipment installed on the well sinking platform, including water tank 4, signal room 5, horizontal pump 6, rock grabber 7, bell mouth 8, and ladder 9. To ensure consistency in core information such as geometric dimensions and spatial location between the two models, and to avoid data deviations caused by model heterogeneity, thus guaranteeing the accuracy of collaborative analysis, the process of establishing the 3D FEM model of the well sinking platform in step two is as follows: The 3D BIM model of the drilling platform is synchronously imported into finite element analysis software (such as SAP2000) and converted into a 3D FEM model of the drilling platform. Analytical attributes are assigned to the 3D FEM model of the drilling platform. These attributes include simulating beams and columns using frame elements, simulating suspension wire ropes using cable elements, and applying equipment loads as uniformly distributed loads or concentrated loads according to the actual arrangement. At the same time, the boundary conditions of the model are clarified to ensure that the model is consistent with the actual engineering scenario, and to achieve the same source data association between the 3D BIM model and the 3D FEM model of the drilling platform.

[0017] like Figure 3 Example diagrams of a 3D FEM model of a well sinking platform are provided, which show the main structure of the well sinking platform, including ring beam 1, main beam 2, and column 3. It also shows the suspension point 10 on the well sinking platform, and can further show the key equipment installed on the well sinking platform, including water tank, signal room, horizontal pump, rock grabber, etc. As a preferred option, for ease of calculation, the constructed 3D BIM model and 3D FEM model of the well sinking platform can be simplified with necessary geometric and boundary conditions; To ensure both comprehensive analysis and logical coherence, and to provide accurate data support for subsequent collaborative iteration and optimization decisions, in step four, S41, the static response process of the well sinking platform structure under different combined working conditions is calculated using the three-dimensional FEM model of the well sinking platform as follows: A three-dimensional FEM model of the well sinking platform was used to conduct an in-depth analysis of the structural stress of the well sinking platform under different well sinking equipment layouts and typical working conditions of wire rope suspension. For each typical working condition, a static analysis of the well sinking platform structure was performed to obtain data such as stress and strain of the well sinking platform components, wire rope suspension force, and structural deformation of the well sinking platform. The correlation between the equipment layout and typical working condition parameters of wire rope suspension and the structural stress of the well sinking platform within the adjustment range was established. On this basis, data interaction and iterative calculation between the BIM model and the FEM model were realized, promoting the collaborative process between the BIM model and the FEM model of the well sinking platform.

[0018] In order to objectively quantify the characteristic quantities through a clear formula and further achieve accurate assessment of the force balance, the force balance assessment process in step four, S42, is as follows: S42-1: Calculate the deviation rate of the suspension force of a single wire rope on the well sinking platform according to formula (1). ; (1); S42-2: Calculate the horizontal displacement of the well sinking platform measuring point according to formula (2). ; (1); In the formula, , These are the horizontal x-axis and y-axis coordinates of the measuring point, respectively. S42-3: Based on the wire rope suspension force deviation rate Horizontal displacement of the well sinking platform The stress balance of the wire rope suspending the well sinking platform is divided into four evaluation result states; when ,and It displays a green color mark and issues a prompt message indicating balanced force. when ,and It displays a yellow color mark and sends a notification message indicating that it is under surveillance. when ,and It displays an orange color mark and issues a prompt message indicating the rope adjustment; when ,and The system displays a red color code and issues an out-of-limit warning message, simultaneously triggering the alarm. Thus, the BIM model uses color codes and warning messages to indicate the assessment results. Technicians can then review the abnormal suspension wire rope and well-drilling platform posture based on the warnings, and make further analysis, judgments, and adjustments based on the data.

[0019] In this invention, firstly, the suggestions from the 3D BIM model and 3D FEM model of the drilling platform facilitate collaborative analysis. Secondly, by combining construction experience to determine typical working conditions, different layouts of key equipment can be effectively covered. Simultaneously, applying equivalent loads and boundary conditions to the 3D FEM model of the drilling platform ensures that the working condition analysis covers the main scenarios during construction, significantly improving the applicability of the solution. The initial solution selection stage, combined with engineering experience, reduces the iterative costs of subsequent optimization. Next, in the static analysis process, key characteristic quantities are determined through quantitative calculations, avoiding biases from subjective judgments. Simultaneously, the generation of a visual cloud map from the BIM model makes the results of force balance and stability intuitive and easy to understand, facilitating rapid judgment of optimization directions by technical personnel and improving decision-making efficiency. The accurate feedback of the analysis results from the 3D FEM model to the 3D BIM model of the drilling platform is achieved by the 3D BIM model using its built-in algorithm to complete the force balance assessment, fully leveraging the mechanical analysis advantages of the FEM model and the visualization and data management advantages of the BIM model, collaboratively realizing a precise analysis process. Furthermore, based on model iterative updates, the step of technical personnel judging the optimization direction is retained. This fully utilizes the efficiency of model iteration and effectively leverages expert experience to avoid extreme situations that may occur in automatic optimization, thus improving the reliability of the optimization process. Then, typical characteristic quantities quantified in the previous analysis are selected as optimization targets to ensure that the optimization direction is consistent with the previous analysis, avoiding a disconnect between the optimization target and evaluation criteria, and improving the rationality of the optimal solution. Mathematical optimization techniques are used to quantitatively solve for solutions that meet the requirements. Compared with simple iterative calculations, this can more accurately identify the solution with the most balanced force, improving the scientific nature of the optimization results and reducing errors from human calculations. Finally, through a final verification step, it is ensured that the optimal solution effectively meets the preset force balance and stability targets, preventing unverified solutions from being directly applied to actual engineering projects and reducing construction safety risks. This invention fully integrates the collaborative logic of BIM technology and FEM methods, leveraging the advantages of BIM models in three-dimensional visualization and data integrity while relying on the precise mechanical analysis capabilities of FEM models. This achieves data consistency and complementary advantages, improving the accuracy and efficiency of solution analysis. At the same time, by combining quantitative analysis with experience, subjective biases are avoided and scientific rigor and practicality are balanced, ensuring that the solution meets theoretical requirements and is adaptable to actual construction scenarios.

[0020] This method is simple to implement and low in cost. It allows for convenient adjustment and optimization of the selection of suspension wire ropes and the location of suspension points on the drilling platform based on the actual layout of drilling equipment and load distribution. This effectively avoids unfavorable conditions where a single or a few wire ropes are overloaded while others are underloaded under complex working conditions. Simultaneously, it reduces the safety risks of tilting, twisting, or even instability of the drilling platform during construction, contributing to improved safety of the drilling platform equipment and efficiency of drilling operations. The optimized layout method of this invention improves the stress balance and overall stability of the suspension wire ropes on the drilling platform and can promptly eliminate potential stress imbalance risks in the layout of the vertical shaft drilling platform equipment, effectively ensuring the safety of vertical shaft drilling platform construction operations.

Claims

1. A method for intelligently optimizing the arrangement of wire rope suspension points on a well-drilling platform, characterized in that, Includes the following steps: Step 1: Construct a 3D BIM model of the well drilling platform; Step 2: Establish a 3D FEM model of the well sinking platform; Step 3: Determine typical working conditions and preliminary suspension scheme; S31: Based on the experience of shaft sinking construction and the usage of sinking equipment, determine a variety of typical analysis conditions based on the 3D BIM model of the sinking platform; at the same time, apply equivalent equipment loads and wire rope suspension boundary conditions matching the working conditions at the corresponding positions in the 3D FEM model of the sinking platform; S32: Based on the determined typical working condition range, establish the spatial coordinate values ​​and adjustment range of the center of gravity of each key equipment, and preliminarily select the location and combination scheme of the wire rope suspension point based on engineering experience; Step 4: Perform static analysis based on the 3D FEM model of the well sinking platform and transmit the analysis results back; S41: Calculate the static response of the well sinking platform structure under different combined working conditions using the 3D FEM model of the well sinking platform to obtain core result data; S42: Transfer the core result data of the well sinking platform back to the 3D BIM model of the well sinking platform. The evaluation algorithm built into the 3D BIM model of the well sinking platform retrieves the data, determines the key feature quantities through quantitative calculation, and automatically compares the calculation results with the design values ​​to complete the stress balance assessment; S43: Generate a visual cloud map based on the 3D BIM model of the well sinking platform to intuitively present the stress balance of the wire rope and the overall stability of the platform; Step 5: Evaluation, optimization, and iterative model updates; Based on the visualized cloud map and the force balance assessment results, evaluate whether the force balance of the wire rope and the overall stability of the suspension platform meet the standards under the current suspension point layout scheme. If the target is not met, adjust the position of the wire rope suspension point and the layout of key equipment according to the optimization direction determined by the technical personnel, update the 3D BIM model and 3D FEM model of the well sinking platform simultaneously, repeat step four, enter a new round of iterative calculation, and achieve closed-loop iterative optimization. Step Six: Solve for the optimal solution using mathematical optimization methods; Based on the previous multiple rounds of optimization, typical characteristic quantities were selected as optimization objectives. Mathematical optimization techniques were used to quantitatively solve all the key equipment layout and wire rope suspension schemes that meet the requirements, and finally the optimal scheme with the most balanced force on the well drilling equipment layout and wire rope suspension was determined. Step 7: Verify the optimal solution and apply it in engineering. The determined optimal solution is finally verified to ensure that it meets the preset optimization goals of wire rope stress balance and overall stability of the hoisting platform. After the verification is passed, the optimal solution is applied to the actual shaft sinking project.

2. The intelligent optimization arrangement method for the wire rope suspension points of a well sinking platform according to claim 1, characterized in that, In step one, the process of creating the 3D BIM model of the well drilling platform is as follows: Based on the construction organization design requirements of the vertical shaft, BIM technology software was selected to build a complete three-dimensional BIM model of the shaft sinking platform. The three-dimensional BIM model of the shaft sinking platform includes geometric and material information, as well as information related to the shaft sinking equipment.

3. The intelligent optimization arrangement method for the wire rope suspension points of a well drilling platform according to claim 1 or 2, characterized in that, In step two, the process of establishing the three-dimensional FEM model of the well sinking platform is as follows: The 3D BIM model of the well sinking platform is synchronously imported into the finite element analysis software and converted into a 3D FEM model of the well sinking platform. The 3D FEM model of the well sinking platform is then assigned analytical attributes and the boundary conditions of the model are clarified to ensure that the model is consistent with the actual engineering scenario, thus realizing the same source data association between the 3D BIM model and the 3D FEM model of the well sinking platform.

4. The intelligent optimization arrangement method for the wire rope suspension points of a well sinking platform according to claim 3, characterized in that, In step S41 of step four, the static response process of the well sinking platform structure under different combined working conditions is calculated using the three-dimensional FEM model of the well sinking platform as follows: The structural stress of the sinking platform under different sinking equipment layouts and typical working conditions of wire rope suspension was analyzed in depth using a three-dimensional FEM model of the sinking platform. For each typical working condition, a static analysis of the sinking platform structure was performed to obtain the results data and establish the correlation between the equipment layout and the parameters of the typical working conditions of wire rope suspension and the structural stress of the sinking platform within the adjustment range.

5. The intelligent optimization arrangement method for the wire rope suspension points of a well sinking platform according to claim 4, characterized in that, In step four, S42, the process of evaluating the force equilibrium is as follows: S42-1: Calculate the deviation rate of the suspension force of a single wire rope on the well sinking platform according to formula (1). ; （1）； S42-2: Calculate the horizontal displacement of the well sinking platform measuring point according to formula (2). ; （1）； In the formula, , These are the horizontal x-axis and y-axis coordinates of the measuring point, respectively. S42-3: Based on the wire rope suspension force deviation rate Horizontal displacement of the well sinking platform The stress balance of the wire rope suspending the well sinking platform is divided into four evaluation result states; when ,and It displays a green color mark and issues a prompt message indicating balanced force. when ,and It displays a yellow color mark and sends a notification message indicating its attention; when ,and It displays an orange color mark and issues a prompt message indicating the rope adjustment; when ,and It displays a red color mark and issues an over-limit warning message. At the same time, it triggers the alarm control to perform an alarm action.

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