An intelligent control method for a multifunctional hydraulic chuck clamping system

Abstract

The present application provides an intelligent control method for a multifunctional hydraulic chuck clamping system, which relates to the field of intelligent control technology, including: integrating multiple sensors to identify the attribute information of the pipe to be clamped, and calculating the number of clamping points based on the attribute information; acquiring interference information in real time based on preset interference factors; performing simulation based on the attribute information and interference information to determine the expected clamping requirements; for the purpose of meeting the expected clamping requirements, performing operation control in combination with the number of clamping points to determine the control scheme; and performing clamping and releasing operations based on the control scheme. The present application can solve the technical problem in the prior art that the clamping system lacks flexibility and adaptability due to the use of fixed parameter settings, which further affects the clamping stability, and achieve the technical goal of dynamically adjusting the clamping parameters according to the characteristics of the pipe, thereby achieving the technical effect of improving the clamping stability.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and in particular to an intelligent control method for a multifunctional hydraulic chuck clamping system. Background Art

[0002] In the process of oil wellhead operation, hydraulic chuck clamping system is widely used in the clamping of various pipes. However, the prior art still has some defects and shortcomings in the clamping process, which need to be further improved and optimized.

[0003] At present, the existing clamping systems often use fixed parameters when setting parameters such as clamping force and position, which lack flexibility and adaptive ability, and cannot be dynamically adjusted according to the specific geometric and mechanical characteristics of the workpiece, which easily causes the workpiece to deform or slip. Therefore, a method is needed to solve the above problems.

[0004] In summary, the prior art has a technical problem that the clamping system adopts fixed parameter settings, which leads to a lack of flexibility and adaptability, further affecting the clamping stability. Summary of the invention

[0005] The purpose of this application is to provide an intelligent control method for a multifunctional hydraulic chuck clamping system to solve the technical problem in the prior art that the clamping system lacks flexibility and adaptability due to the fixed parameter settings, which further affects the clamping stability.

[0006] In view of the above problems, the present application provides an intelligent control method for a multifunctional hydraulic chuck clamping system.

[0007] The present application provides an intelligent control method for a multifunctional hydraulic chuck clamping system, which includes: integrating multiple sensors to identify the attribute information of the pipe to be clamped, and calculating the number of clamping points based on the attribute information; acquiring interference information in real time according to a preset interference factor; performing simulation based on the attribute information and the interference information to determine the expected clamping demand; for the purpose of meeting the expected clamping demand, performing operation control in combination with the number of clamping points to determine a control scheme; and executing clamping and releasing operations based on the control scheme.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] The property information of the pipe to be clamped is identified by integrating multiple sensors, and the number of clamping points is calculated according to the property information; interference information is acquired in real time according to preset interference factors; simulation is performed based on the property information and interference information to determine the expected clamping demand; operation control is performed in combination with the number of clamping points for the purpose of meeting the expected clamping demand, and a control scheme is determined; clamping and releasing operations are performed based on the control scheme. That is to say, by integrating multiple sensors, real-time monitoring of key parameters, building accurate simulation models, dynamically adjusting clamping parameters, and performing backtracking analysis and optimization, the technical goal of dynamically adjusting clamping parameters according to pipe characteristics is finally achieved, and the technical effect of improving clamping stability is achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A schematic flow chart of an intelligent control method for a multifunctional hydraulic chuck clamping system of the present application;

[0013] Figure 2 A schematic diagram of a process for determining expected clamping requirements in an intelligent control method for a multifunctional hydraulic chuck clamping system of the present application. DETAILED DESCRIPTION

[0014] This application provides an intelligent control method for a multifunctional hydraulic chuck clamping system, which solves the technical problem in the prior art that the clamping system adopts fixed parameter settings, resulting in a lack of flexibility and self-adaptation, which further affects the clamping stability. The technical goal of dynamically adjusting the clamping parameters according to the characteristics of the pipe is achieved, and the technical effect of improving the clamping stability is achieved.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] For examples, please see the attached Figure 1 The present application provides an intelligent control method for a multifunctional hydraulic chuck clamping system, which specifically includes the following steps:

[0017] Step 1: Integrate multiple sensors to identify the attribute information of the pipe to be clamped, and calculate the number of clamping points based on the attribute information.

[0018] Specifically, multiple sensors are integrated to identify the size, shape, weight and other attribute information of the pipe to be clamped, and the basic attributes of the pipe are measured and recorded. By obtaining attribute information, the specific characteristics of the pipe are understood, providing basic data for the subsequent calculation of the number of clamping points. Based on the attribute information, the most appropriate number of clamping points is calculated to ensure the stability and accuracy of clamping.

[0019] Step 2: Collect interference information in real time according to preset interference factors.

[0020] Specifically, interference information is obtained by real-time acquisition based on preset interference factors. During the clamping operation, external environmental factors that may affect the clamping effect, such as temperature, humidity, vibration, etc., are monitored and collected in real time. Through real-time acquisition and analysis, the possible impact of the external environment on the clamping operation can be understood and evaluated in a timely manner, thereby providing a basis for adjusting the clamping parameters and strategies, and ensuring the stability and accuracy of the clamping operation.

[0021] Step 3: Perform simulation based on the attribute information and interference information to determine the expected clamping requirements.

[0022] Specifically, simulation is performed based on the attribute information and interference information, and the clamping process is simulated by computer simulation technology to determine the expected clamping requirements, predict various situations that may occur during the clamping process, and determine the optimal clamping parameters, that is, the expected clamping requirements, to ensure the efficiency and stability of the clamping process.

[0023] Step 4: To meet the expected clamping demand, the operation control is performed in combination with the number of clamping points to determine the control scheme.

[0024] Specifically, the control scheme is determined by combining the number of clamping points with the purpose of meeting the expected clamping requirements. This means that after the clamping requirements are clarified, the system will formulate a detailed operation control scheme based on the calculated number of clamping points and the specific clamping requirements. This scheme not only includes the specific parameter settings of the clamping force and clamping position, but also involves the operation steps and control strategies of the entire clamping process. Through precise operation control, the clamping force and clamping position can be adjusted dynamically to ensure that the pipe is always in the best clamping state during the entire operation, thereby achieving a stable clamping effect.

[0025] Step 5: Execute clamping and releasing operations based on the control scheme.

[0026] Specifically, after a specific control plan is formulated, the actual clamping and loosening operations are performed according to the preset plan. During the clamping process, the clamping state is monitored in real time, and adjustments and optimizations are made to ensure the stability and safety of the clamping. After completing the processing task, the pipe is released safely according to the preset loosening operation steps to avoid any damage to the pipe or equipment. The entire clamping and loosening process can be completed efficiently through operation to ensure the smooth progress of the workflow.

[0027] The intelligent control method of the multifunctional hydraulic chuck clamping system can achieve the technical goal of dynamically adjusting the clamping parameters according to the characteristics of the pipe, and achieve the technical effect of improving the clamping stability.

[0028] Furthermore, the present application also includes:

[0029] A laser diameter gauge and an ultrasonic thickness gauge are used to detect the outer diameter and wall thickness of the pipe to be clamped, respectively, to generate size parameters; an image recognition sensor is used to capture the image of the pipe to obtain the shape parameters of the pipe to be clamped; a weight sensor is used to measure the weight of the pipe to be clamped to generate weight parameters; and based on the size parameters, shape parameters and weight parameters, the attribute information of the pipe to be clamped is obtained.

[0030] Specifically, a laser diameter gauge is used to detect the outer diameter of the pipe to be clamped, and an ultrasonic thickness gauge is used to detect the wall thickness of the pipe to be clamped to generate dimensional parameters. The pipe to be clamped is placed within the measuring range of the laser diameter gauge, and the laser diameter gauge is started so that the laser beam is aligned with the outer diameter of the pipe to be clamped to obtain the outer diameter of the pipe to be clamped. The probe of the ultrasonic thickness gauge is attached to the contact surface of the pipe to be clamped, because the probe will emit ultrasonic pulses into the inside of the pipe to be clamped. The ultrasonic wave propagates inside the pipe and reflects back. The ultrasonic thickness gauge calculates the wall thickness based on the round-trip time of the ultrasonic wave, and then obtains the wall thickness of the pipe to be clamped. The measurement results are recorded and dimensional parameters are generated. The dimensional parameters provide basic data for subsequent clamping operations, ensuring that the clamping system can accurately adjust the clamping force and clamping position according to the specific size.

[0031] Next, the image recognition sensor is used to collect the image of the pipe, and the image recognition sensor is used to capture the outline of the pipe before the clamping operation. Image recognition sensors usually use high-resolution cameras and image processing software to obtain the shape parameters of the pipe by capturing the image of the pipe's shape and performing image processing operations such as edge detection and contour extraction. Shape parameters include the shape characteristics of the pipe, such as whether it is round, square or other irregular shapes. Shape parameters are crucial to determining the appropriate clamping point and adjusting the clamping strategy, ensuring that the clamping method can be adjusted according to the different shapes of pipes.

[0032] Then, based on the weight sensor measuring the weight of the pipe to be clamped, the weight parameters are generated. During the pipe preparation stage, the weight of the pipe is measured by the weight sensor installed in the clamp. The weight sensor can accurately sense the mass of the pipe and generate accurate weight data by measuring the force of gravity on the sensor. The weight data is transmitted to the system to generate the weight parameters of the pipe. The weight parameter plays an important role in determining the clamping force, because pipes of different weights require different clamping forces to ensure stability and prevent slipping. Therefore, the weight parameter is one of the key data for adjusting the clamping force.

[0033] Next, the size parameters, shape parameters and weight parameters are integrated and analyzed to form comprehensive pipe attribute information. The attribute information includes specific data such as the outer diameter, wall thickness, shape and weight of the pipe, and the characteristics of the pipe are fully understood through the attribute information. The attribute information provides comprehensive basic data for the clamping system, helping the clamping system to formulate and adjust the clamping strategy, ensuring that precise control can be performed according to the specific conditions of the pipe during the clamping process, thereby improving the stability and positioning accuracy of the clamping.

[0034] Furthermore, the present application also includes:

[0035] According to the weight parameter, the initial number of clamping points is calculated by the clamping point calculation formula; the center of gravity position and moment of inertia of the pipe to be clamped are calculated according to the size parameter, shape parameter and weight parameter, and the initial number of clamping points is corrected to obtain the number of clamping points; wherein the clamping point calculation formula is as follows:

[0036] ;in, is the number of initial clamping points, is the weight parameter, is the allowable stress of the pipe to be clamped, S is the contact area for each clamping point.

[0037] Specifically, according to the weight parameter, the initial number of clamping points is calculated through the clamping point calculation formula, and a preliminary estimate is made of how many clamping points are needed to ensure the stability and safety of the workpiece. The clamping point calculation formula takes into account the overall weight of the workpiece and the maximum load that each clamping point can withstand, to ensure that during the clamping process, all clamping points can evenly share the weight of the workpiece to avoid deformation or sliding caused by uneven force.

[0038] Then, the center of gravity position and moment of inertia of the pipe to be clamped are further calculated based on the size parameters, shape parameters and weight parameters, and the initial number of clamping points is corrected to obtain the number of clamping points. The calculation of the center of gravity position can help determine the equilibrium state of the pipe during the clamping process, while the calculation of the moment of inertia can reflect the ability of the pipe to resist rotation or flipping. Through the mechanical property data, the initial number of clamping points is corrected and optimized to ensure that the final number of clamping points can better meet the actual clamping needs and ensure the clamping stability and accuracy of the workpiece.

[0039] Next, the number of clamping points required is preliminarily calculated based on the workpiece weight and material properties. The allowable stress in the clamping point calculation formula refers to the maximum stress that the pipe to be clamped can withstand, and the contact area is the area of ​​contact between each clamping point and the pipe to be clamped. The clamping point calculation formula can be used to estimate the initial number of clamping points, providing a basis for further optimization and adjustment.

[0040] By preliminarily estimating the number of clamping points and then further correcting them based on size, shape and weight parameters, the optimal number of clamping points is ultimately determined, ensuring the stability of the clamping process and the positioning accuracy of the workpiece.

[0041] Furthermore, the present application also includes:

[0042] The preset interference factors include a temperature factor and a humidity factor. The temperature sensor is configured based on the temperature factor, and the humidity sensor is configured based on the humidity factor. The ambient temperature is monitored based on the temperature sensor to generate a temperature parameter. The ambient humidity is monitored based on the humidity sensor to generate a humidity parameter. The interference information is obtained based on the temperature parameter and the humidity parameter.

[0043] Specifically, in order to ensure that the influence of the external environment on the stability of the workpiece during the clamping process is monitored and controlled in real time, interference factors that may affect the clamping effect are pre-defined, including ambient temperature and humidity, that is, the preset interference factors include temperature factors and humidity factors. In order to effectively monitor the interference factors, the temperature sensor is configured based on the temperature factor, and the humidity sensor is configured according to the humidity factor. The temperature sensor and the humidity sensor can collect the temperature and humidity data of the environment in real time and transmit them to the control system, thereby providing accurate environmental data support for subsequent parameter adjustment and clamping optimization.

[0044] Then, the ambient temperature is monitored in real time through the temperature sensor installed in the clamping area to generate temperature parameters. The temperature sensor can accurately sense the changes in ambient temperature, convert the measured temperature data into temperature parameters, and transmit them to the control system. The temperature parameter is a key data point because changes in ambient temperature may affect the thermal expansion and contraction characteristics of the workpiece material, thereby affecting the clamping force and positioning accuracy. Therefore, by real-time monitoring and recording of ambient temperature, the clamping strategy can be adjusted in time to ensure the clamping stability of the workpiece under different temperature conditions.

[0045] Next, the humidity of the surrounding environment is monitored in real time using a humidity sensor installed in the clamping area to generate humidity parameters. The humidity sensor can detect the humidity level in the air and convert the detected humidity data into humidity parameters and transmit them to the control system. Humidity parameters are also important for the clamping process because changes in ambient humidity may affect the friction coefficient and material properties of the workpiece surface, thereby affecting the clamping effect. By obtaining humidity parameters, necessary adjustments can be made under high or low humidity conditions to ensure stable clamping of the workpiece in various humidity environments.

[0046] Next, after collecting the data from the temperature sensor and humidity sensor, the temperature parameters and humidity parameters are integrated to generate comprehensive interference information. Interference information includes the temperature and humidity conditions of the current environment, and is a key indicator for evaluating the impact of the external environment on the clamping process. By analyzing the interference information, environmental factors that may affect the clamping effect are identified, and corresponding adjustments and optimizations are made. For example, in a high temperature and high humidity environment, it is necessary to increase the clamping force or change the clamping strategy to ensure the stability and positioning accuracy of the workpiece.

[0047] By configuring temperature and humidity sensors to monitor the ambient temperature and humidity in real time and integrating the generated interference information, the clamping parameters can be adjusted dynamically to ensure the clamping stability and positioning accuracy of the workpiece under various environmental conditions.

[0048] Further, if Figure 2 As shown, this application also includes:

[0049] Based on the geometric characteristics and mechanical characteristics of the pipe to be clamped, a pipe model is constructed; the attribute information is input to obtain attribute parameters, the attribute parameters are corrected based on the interference information, and the pipe model is assigned values; the pipe model is simulated and calculated according to the clamping parameters, and deformation information and stability coefficient corresponding to each group of clamping parameters are output, wherein the deformation information includes stress value and deformation amount; the deformation information and stability coefficient are evaluated to obtain the clamping parameter evaluation value; the highest value of the clamping parameter evaluation value is extracted to generate the expected clamping demand.

[0050] Specifically, based on the geometric and mechanical properties of the pipe to be clamped, the geometric and mechanical properties of the pipe to be clamped are analyzed. By obtaining the geometric properties of the pipe such as the outer diameter and wall thickness, and the mechanical properties of the material such as the elastic modulus and yield strength, a three-dimensional model is established, which can truly reflect the behavior of the pipe under various mechanical conditions and provide a basis for subsequent simulation calculations. Through the modeling process of the pipe to be clamped, the response of the pipe during the clamping process can be accurately predicted to ensure the reliability of the design solution.

[0051] Then, after building the pipe model, input attribute information, such as the size, shape, and weight of the pipe, to generate specific attribute parameters. At the same time, considering the impact of environmental interference factors on material performance, based on real-time monitoring of interference information such as temperature and humidity, the attribute parameters are corrected to reflect the material characteristics under the actual working environment. By assigning values ​​to the pipe model, it is ensured that the simulation calculation can accurately simulate the behavior of the pipe under real conditions, and improve the reliability and accuracy of the simulation results.

[0052] Then, after obtaining the corrected property parameters, different clamping parameters, such as clamping force and clamping speed, are set, and the pipe model is simulated based on the clamping parameters. The stress distribution and deformation of the pipe under different clamping conditions are simulated through simulation techniques such as finite element analysis. The simulation results include the stress value, deformation and stability coefficient under each set of clamping parameters, which can reflect the mechanical response of the pipe during the clamping process and provide data support for optimizing the clamping parameters.

[0053] Next, after obtaining the simulation calculation results, the deformation information and stability coefficient corresponding to each set of clamping parameters are evaluated in detail. The evaluation process includes analyzing whether the stress value is within the safety range of the pipe, whether the deformation meets the minimum deformation requirements of the pipe, and whether the stability coefficient is high enough to ensure the safety and stability of the clamping process. Through the comprehensive evaluation of key indicators, the evaluation value of each set of clamping parameters is calculated, reflecting the effectiveness and reliability of each set of clamping parameters in actual applications, providing a basis for the final clamping parameter selection.

[0054] Then, after completing the evaluation of the clamping parameters, all evaluation values ​​are sorted and compared to extract the combination of clamping parameters with the highest evaluation value. The highest evaluation value represents the optimal clamping parameter setting under specific working conditions, which can ensure the best clamping effect. The optimal parameters are used as the expected clamping requirements to provide guidance for subsequent actual clamping operations, thereby ensuring the stability and accuracy of the pipe throughout the clamping process.

[0055] By constructing a pipe model, correcting property parameters, simulating and calculating deformation information and stability coefficients, evaluating clamping parameters, and extracting optimal evaluation values, reliable expected clamping requirements are generated to ensure the stability and accuracy of the clamping process.

[0056] Furthermore, the present application also includes:

[0057] The clamping target is higher than the stress threshold and lower than the deformation threshold, and the evaluation value of the clamping target is calculated to generate a deformation evaluation value; a weighted calculation is performed based on the deformation evaluation value and the stability coefficient to obtain the clamping parameter evaluation value.

[0058] Specifically, in the clamping system, in order to ensure that the workpiece does not deform excessively during the clamping process and can withstand sufficient clamping force, a dual evaluation of stress and deformation is performed on each set of clamping parameters. Specifically, a stress threshold is first set to ensure that the clamping force can meet the stability requirements of the workpiece, and a deformation threshold is set to prevent the workpiece from affecting the clamping accuracy due to excessive deformation during the clamping process. Through simulation calculation, the stress value and deformation under each set of parameters are obtained, and the parameter combination with a stress value higher than the stress threshold and a deformation lower than the deformation threshold is screened out as an effective clamping target. The clamping target with the greatest adaptability is calculated based on the effective clamping target. For example, by calculating the stress difference between the stress value of the clamping target and the stress threshold, and calculating the deformation difference between the clamping target and the deformation threshold, the deformation evaluation value is calculated based on the stress difference and the deformation difference. Among them, the higher the stress difference and the deformation difference, the higher the deformation evaluation value, and vice versa.

[0059] Then, after the deformation evaluation value is generated, the overall stability of the workpiece during the clamping process is considered. Therefore, the deformation evaluation value is combined with the stability coefficient, and the comprehensive effect of each set of clamping parameters is evaluated through weighted calculation. The stability coefficient reflects the ability of the workpiece to resist external forces and maintain position during the clamping process, while the deformation evaluation value measures the deformation of the workpiece under a specific clamping force. Through weighted calculation, the two key indicators are combined to calculate the final evaluation value of each set of clamping parameters, which can fully reflect the advantages and disadvantages of the clamping parameters, provide a basis for selecting the optimal clamping solution, and ensure that a stable and efficient clamping effect can be achieved in actual operation.

[0060] By evaluating both stress and deformation and performing a weighted calculation with the stability factor, a comprehensive clamping parameter evaluation can be generated to ensure the stability and accuracy of the clamping process.

[0061] Furthermore, the present application also includes:

[0062] A two-dimensional deformation information grid is constructed according to stress distribution and deformation amount, and a vector arrow is generated based on clamping force and clamping speed, and each vector arrow is penetrated into the two-dimensional deformation information grid, wherein the number of penetrations of each vector arrow is not less than a preset number of penetrations; the penetration density of the two-dimensional deformation information grid is extracted, and a satisfaction judgment based on a penetration density threshold is performed, and stability is assigned to the satisfied result to obtain the stability coefficient, wherein the penetration density is proportional to the stability.

[0063] Specifically, when simulating the stress and deformation of the pipe, the deformation information is mapped to a two-dimensional deformation information grid. The two-dimensional deformation information grid contains the stress values ​​and deformation information of the pipe at different positions, forming a detailed stress and deformation distribution diagram. Through the two-dimensional deformation information grid, the deformation and stress distribution of the pipe during the force process can be intuitively seen, thereby providing data support for subsequent analysis and evaluation. The two-dimensional deformation information grid lays the foundation for further clamping force and clamping speed analysis, ensuring the accuracy and comprehensiveness of the analysis process.

[0064] Then, on the two-dimensional deformation information grid, a simulation test of clamping is performed by means of vector arrows representing the clamping force and clamping speed, that is, penetration of the two-dimensional deformation information grid is performed. Each vector arrow represents the direction and magnitude of the clamping force and clamping speed under a clamping condition. The vector arrows are simulated to penetrate the two-dimensional deformation information grid to understand the stress distribution and deformation of the pipe under specific clamping conditions. The number of penetrations of each vector arrow is not less than the preset number of penetrations to ensure the adequacy and reliability of the simulation process. Through simulated penetration, more detailed mechanical response data can be obtained, providing a basis for subsequent density analysis. The preset number of penetrations refers to the number of tests corresponding to each set of clamping parameters that are customized by technicians in this field according to actual conditions.

[0065] Next, after the vector arrow penetrates the two-dimensional deformation information grid, the number of times each grid unit is penetrated is calculated to form a penetration density distribution map. The penetration density reflects the mechanical response frequency at a specific position under different clamping conditions. By setting a penetration density threshold, it is possible to determine which grid units meet or exceed the penetration density threshold and obtain a judgment result. The judgment result can help identify high stress or large deformation areas that may occur in actual operation, thereby providing data support for further stability analysis.

[0066] Next, after the penetration density of the two-dimensional deformation information grid is judged by the threshold, the grid cells that are equal to or exceed the penetration density threshold are assigned stability. The stability assignment is determined based on the penetration density of the grid cells. The higher the penetration density, the better the stability of the area in multiple simulations. Therefore, a higher stability coefficient is assigned, and then the comprehensive stability coefficient of the entire pipe under different clamping conditions is calculated for evaluation and optimization of the clamping scheme. The higher the stability coefficient, the more stable the clamping effect can be provided by the selected clamping parameters in actual operation, and vice versa.

[0067] By constructing a two-dimensional deformation information grid, generating vector arrows for penetration, extracting penetration density and assigning stability, it is possible to evaluate and optimize the clamping solution and ensure the stability and reliability of the clamping process.

[0068] Furthermore, the present application also includes:

[0069] Monitor the control scheme, collect monitoring data for abnormal alarm, and generate alarm information; perform back-analysis on the monitoring data, evaluate the control parameters of the clamping system, and optimize the sensor layout and the control parameters of the clamping system according to the evaluation results.

[0070] Specifically, all clamping-related parameters, such as clamping force, clamping position, ambient temperature and humidity, are continuously monitored and recorded. Real-time monitoring data is collected by sensors and transmitted to the central processing unit for analysis. If the system detects any deviation from the preset standard or abnormality, such as excessive clamping force, position offset, high temperature, etc., an abnormal alarm is immediately triggered. The generated alarm information will contain a specific description of the abnormal situation and the relevant parameter values, and notify the operator to take necessary countermeasures to ensure the safety and stability of the clamping process.

[0071] Then, after an abnormality occurs or an operation is completed, all the collected monitoring data are retrospectively analyzed. By analyzing the monitoring data, the cause of the abnormality can be identified and the effectiveness and accuracy of the existing clamping system control parameters can be evaluated. Retrospective analysis includes checking the data consistency of the sensor, identifying blind spots or inefficient areas in the sensor layout, and evaluating whether the control parameters need to be adjusted. Based on the evaluation results, an optimization plan is proposed to adjust the position and number of sensors, optimize the control parameters such as clamping force and position, so as to improve the performance and stability of the entire clamping system and ensure the best clamping effect under different operating conditions.

[0072] Through continuous monitoring and abnormal alarms, retrospective analysis and optimization of control parameters, the clamping solution can be dynamically adjusted and improved to ensure the efficiency and safety of the entire operation process.

[0073] In summary, the intelligent control method of a multifunctional hydraulic chuck clamping system provided by the present application has the following technical effects:

[0074] The property information of the pipe to be clamped is identified by integrating multiple sensors, and the number of clamping points is calculated according to the property information; interference information is acquired in real time according to preset interference factors; simulation is performed based on the property information and interference information to determine the expected clamping demand; operation control is performed in combination with the number of clamping points for the purpose of meeting the expected clamping demand, and a control scheme is determined; clamping and releasing operations are performed based on the control scheme. That is to say, by integrating multiple sensors, real-time monitoring of key parameters, building accurate simulation models, dynamically adjusting clamping parameters, and performing backtracking analysis and optimization, the technical goal of dynamically adjusting clamping parameters according to pipe characteristics is finally achieved, and the technical effect of improving clamping stability is achieved.

[0075] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An intelligent control method for a multifunctional hydraulic chuck clamping system, characterized in that: include: Integrate multiple sensors to identify the property information of the pipe to be clamped, and calculate the number of clamping points based on the property information; Obtain interference information by real-time collection based on preset interference factors; Perform simulation based on the attribute information and interference information to determine the expected clamping requirements; To meet the expected clamping requirements, the operation control is performed in combination with the number of clamping points to determine the control scheme; Perform clamping and releasing operations based on the control scheme; The simulating based on the attribute information and the interference information to determine the expected clamping requirement includes: Constructing a pipe model based on the geometrical and mechanical properties of the pipe to be clamped; Input the attribute information to obtain attribute parameters, modify the attribute parameters based on the interference information, and assign values ​​to the pipe model; Performing simulation calculation on the pipe model according to the clamping parameters, and outputting deformation information and stability coefficient corresponding to each set of clamping parameters, wherein the deformation information includes stress value and deformation amount; Evaluating the deformation information and stability coefficient to obtain a clamping parameter evaluation value; Extracting the highest value of the clamping parameter evaluation value to generate the expected clamping demand; The obtaining of the clamping parameter evaluation value comprises: Taking a clamping target that is higher than a stress threshold and lower than a deformation threshold, calculating an evaluation value of the clamping target to generate a deformation evaluation value; Performing weighted calculation according to the deformation evaluation value and the stability coefficient to obtain the clamping parameter evaluation value; Obtain stability factors, including: Constructing a two-dimensional deformation information grid according to the stress distribution and the deformation amount, generating a vector arrow based on the clamping force and the clamping speed, and performing penetration of each vector arrow on the two-dimensional deformation information grid, wherein the number of penetrations of each vector arrow is not less than a preset number of penetrations; The penetration density of the two-dimensional deformation information grid is extracted, and a satisfaction judgment based on a penetration density threshold is performed, and a stability value is assigned to the satisfaction result to obtain the stability coefficient, wherein the penetration density is proportional to the stability.

2. The intelligent control method of a multifunctional hydraulic chuck clamping system according to claim 1, characterized in that: The method of integrating multiple sensors to identify the property information of the pipe to be clamped includes: Using a laser diameter gauge and an ultrasonic thickness gauge to respectively detect the outer diameter and wall thickness of the pipe to be clamped to generate dimensional parameters; Using an image recognition sensor to collect a pipe image and obtain shape parameters of the pipe to be clamped; Measuring the weight of the pipe to be clamped based on a weight sensor to generate a weight parameter; The attribute information of the pipe to be clamped is obtained according to the size parameter, shape parameter and weight parameter.

3. The intelligent control method of a multifunctional hydraulic chuck clamping system according to claim 2, characterized in that: The step of calculating the number of clamping points according to the attribute information includes: According to the weight parameter, the number of initial clamping points is calculated by a clamping point calculation formula; Calculating the center of gravity position and moment of inertia of the pipe to be clamped according to the size parameter, shape parameter and weight parameter, correcting the initial number of clamping points, and obtaining the number of clamping points; The clamping point calculation formula is as follows: ； in, is the number of initial clamping points, is the weight parameter, is the allowable stress of the pipe to be clamped, S is the contact area for each clamping point.

4. The intelligent control method of a multifunctional hydraulic chuck clamping system according to claim 1, characterized in that: The real-time acquisition of interference information according to the preset interference factor includes: The preset interference factor includes a temperature factor and a humidity factor, the temperature sensor is configured based on the temperature factor, and the humidity sensor is configured according to the humidity factor; Based on the temperature sensor monitoring the ambient temperature, generating a temperature parameter; Monitoring the ambient humidity according to the humidity sensor to generate a humidity parameter; The interference information is obtained based on the temperature parameter and the humidity parameter.

5. The intelligent control method of a multifunctional hydraulic chuck clamping system according to claim 1, characterized in that: Also includes: Monitor the control scheme, collect monitoring data for abnormal alarm, and generate alarm information; The monitoring data is retrospectively analyzed to evaluate the control parameters of the clamping system, and the sensor layout and the control parameters of the clamping system are optimized based on the evaluation results.

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