A kind of intelligent adjustment weft beating cam control method and system for loom

Abstract

The present application provides a method and system for controlling a beating cam for a loom with intelligent adjustment, which relates to the field of intelligent control technology. The method and system determine a transmission analysis module by performing low-feature non-uniform modeling on a target loom; perform power flow simulation in combination with the beating requirements and the transmission analysis module, determine a pre-control scheme and a transmission correlation function, and perform periodic dynamic control of the beating cam of the loom based on the pre-control scheme; determine feedback control rules in combination with the transmission correlation function, and configure a digital feedback device; connect the digital feedback device to the loom control center, synchronously perform beating cam control monitoring, determine a feedback control scheme and perform feedback control, and solve the problem in the prior art that the beating cam cannot perform feedback control adjustment in time due to the low control intelligence level, resulting in low production efficiency and poor quality of finished products, and achieve the technical effect of being able to monitor and feedback-adjust the control scheme in real time, improve the stability and production efficiency of the system, and ensure product quality.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a method and system for controlling a beating cam for a loom with intelligent adjustment. Background Art

[0002] The beating cam is a key part of the loom. Its main function is to control the movement of the beating mechanism through its contour line, ensuring that the weft yarn can be correctly beaten into the warp yarn according to the predetermined trajectory and tension to form a compact fabric. Since the beating cam needs to accurately control the movement of the beating mechanism, its contour line design is very complex, which requires designers to fully consider factors such as the structure of the fabric, the characteristics of the raw materials, and the speed of the loom to ensure that the beating cam can meet production needs.

[0003] The existing beating cam control method has the technical problem that the beating cam cannot perform feedback control adjustment in time during the operation of the loom due to the low control intelligence level and insufficient matching and coordination of various components, resulting in low production efficiency and poor quality of finished products. Summary of the invention

[0004] The present application provides a method and system for controlling a beating cam for a loom with intelligent adjustment, which is used to solve the technical problem in the prior art that the beating cam cannot perform feedback control adjustment in time during the operation of the loom due to the low control intelligence level and insufficient matching and coordination of various components, resulting in low production efficiency and poor quality of finished products.

[0005] In view of the above problems, the present application provides a method and system for controlling a weft beating cam for a loom with intelligent adjustment.

[0006] In a first aspect, the present application provides a method for controlling a beating-up cam for a loom with intelligent adjustment, the method being applied to a beating-up cam control system for a loom with intelligent adjustment, the method comprising:

[0007] Connect to the visual simulation platform, perform low-feature non-uniform modeling on the target loom, and determine the transmission analysis module;

[0008] Read the beating requirements of the loom, combine with the transmission analysis module, perform power flow simulation based on the beating cam transmission, determine the pre-control scheme and the transmission correlation function, and the transmission correlation function is based on the unit transmission;

[0009] Based on the pre-control scheme, in response to the loom control center, periodic dynamic control of the beating cam of the loom is performed;

[0010] In combination with the transmission correlation function, feedback control rules are determined to configure the digital feedback device;

[0011] Connecting the digital feedback device with the loom control center, synchronously performing weft beating cam control monitoring, and returning real-time operation control data to the digital feedback device;

[0012] A feedback control scheme is determined based on the digital feedback device, and feedback control is performed in response to the loom control center.

[0013] In a second aspect, the present application provides an intelligently adjustable beating cam control system for a loom, the system comprising:

[0014] An analysis module determination unit is used to connect to a visual simulation platform, perform low-feature non-uniform modeling on a target loom, and determine a transmission analysis module;

[0015] A power flow simulation unit is used to read the beating requirements of the loom, and in combination with the transmission analysis module, perform power flow simulation based on the beating cam transmission, and determine the pre-control scheme and the transmission correlation function, wherein the transmission correlation function is based on the unit transmission;

[0016] A dynamic control unit, for periodically dynamically controlling the beating cam of the loom in response to the loom control center based on the pre-control scheme;

[0017] A feedback configuration unit, used to determine feedback control rules in combination with the transmission correlation function, and configure the digital feedback device;

[0018] A control and monitoring unit, used to connect the digital feedback device and the loom control center, synchronously perform beating cam control monitoring, and return real-time operation and control data to the digital feedback device;

[0019] A feedback control unit is used to determine a feedback control scheme based on the digital feedback device and perform feedback control in response to the loom control center.

[0020] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0021] The present application provides a method for controlling a beating cam for a loom with intelligent adjustment. The method connects to a visual simulation platform, performs low-feature non-uniform modeling on a target loom, and determines a transmission analysis module; reads the beating requirements of the loom, and performs a power flow simulation based on the beating cam transmission in combination with the transmission analysis module, and determines a pre-control scheme and a transmission correlation function, wherein the transmission correlation function is based on unit transmission; based on the pre-control scheme, the beating cam of the loom is periodically dynamically controlled in response to a loom control center; determines feedback control rules in combination with the transmission correlation function, and configures a digital feedback device; connects the digital feedback device to the pre-control scheme, and performs a periodic dynamic control on the beating cam of the loom ... and configures the digital feedback device to the pre-control scheme, and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a periodic dynamic control on the beating cam of the loom; and performs a period The digital feedback device and the loom control center synchronously perform the control monitoring of the beating cam, and transmit the real-time operation control data to the digital feedback device; the feedback control scheme is determined based on the digital feedback device, and the feedback control is performed in response to the loom control center, which solves the technical problem in the prior art that the beating cam cannot be feedback-controlled and adjusted in time during the operation of the loom due to the low control intelligence level and insufficient matching and coordination of various components, resulting in low production efficiency and poor quality of finished products, and achieves the technical effect of being able to monitor and feedback-adjust the control scheme in real time, improve the stability and production efficiency of the system, and ensure product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic flow chart of a method for controlling a beating cam for a loom with intelligent adjustment is provided for this application;

[0023] Figure 2 A schematic flow chart of determining a feedback control scheme in a beating cam control method for a loom with intelligent adjustment is provided for this application;

[0024] Figure 3 A schematic diagram of the structure of a beating cam control system for a loom with intelligent adjustment is provided for this application;

[0025] Figure 4 The present application provides a structural schematic diagram of a transmission analysis module in a method for controlling a weft beating cam for a loom with intelligent adjustment.

[0026] Explanation of the reference numerals: analysis module determination unit 11 , power flow simulation unit 12 , dynamic control unit 13 , feedback configuration unit 14 , control monitoring unit 15 , feedback regulation unit 16 . DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] Embodiment 1

[0029] like Figure 1 As shown, the present application provides a method for controlling a beating cam for a loom with intelligent adjustment, the method being applied to a beating cam control system for a loom with intelligent adjustment, the method comprising:

[0030] Step S100: connecting to a visual simulation platform, performing low-feature non-uniform modeling on a target loom, and determining a transmission analysis module;

[0031] A loom is a commonly used device in the textile industry, mainly used for weaving textiles. It is a machine that interweaves two or more groups of yarns at right angles to form fabrics. The loom is composed of multiple mechanisms and devices, including opening mechanism, weft insertion mechanism, beating mechanism, winding mechanism, warp feeding mechanism, frame, starting, braking, transmission mechanism, etc. Among them, the main function of the beating mechanism is to push the weft yarn introduced into the shed to the weaving mouth to form fabric.

[0032] The beating cam plays a vital role in the loom. Generally, the movement of the beating mechanism is precisely controlled by designing a suitable beating cam. The main principle is that the beating cam drives the swing shaft to drive the steel reed to swing back and forth, thereby tightening the weft yarn. The design of the cam can make the sley have a specific static time at the rear, which is conducive to the weft insertion process and ensures that the weft yarn can pass through the shuttle smoothly. The design of the beating cam also realizes the separation of the sley and the shuttle box. Such a design helps to reduce impact vibration and further increase the speed of the loom. When the sley is in the front, it has a high beating speed, which can increase the relative slip between the warp and weft yarns, while reducing their common movement, which is conducive to tightening the weft yarn. Therefore, the effective control of the beating cam for the loom can improve the efficiency of the loom and ensure the stable operation of the loom and the quality of the fabric.

[0033] When controlling the loom, first, the control system of the present application is connected to the visual simulation platform. The visual simulation platform can simulate the operation of the actual system, predict the performance, response and output of the system, so as to obtain the result prediction in time, which is convenient for the decision-making of the scheme. Next, a low-feature non-uniform model is built based on the target loom, wherein the low-feature non-uniform modeling refers to identifying the main transmission components and connectors in the loom, and using simplified but accurate physical models to describe the behavior of these components and connectors. The low feature here means that the model may not contain all the details, but it is sufficient to capture the key dynamic and performance characteristics, and the non-uniformity means that factors such as friction, wear, and stiffness differences between different components should be considered when capturing the characteristics. Then, a low-feature non-uniform model is built in the simulation platform, and appropriate parameters and constraints are set to simulate the movement of the weft beating cam, and the simulation module containing the model is defined as a transmission analysis module. The transmission analysis module can simulate the dynamic behavior of the loom transmission system, including the interaction of components such as gears, shafts, bearings, and couplings, and can use the analysis tools of the simulation platform to evaluate the performance of the transmission system.

[0034] The transmission analysis module is determined by low-feature non-uniform modeling, so that non-essential features are not included in the power analysis, and only the key power feature analysis is focused on, thereby reducing the analysis dimension and system computing power, ensuring the efficient operation of the power analysis and saving computing power resources. The visual simulation platform can intuitively perform simulation predictions to provide decision support for subsequent control implementation.

[0035] Step S200: reading the beating requirement of the loom, combining the transmission analysis module, performing power flow simulation based on the beating cam transmission, determining the pre-control scheme and the transmission correlation function, wherein the transmission correlation function is based on the unit transmission;

[0036] Specifically, in order to obtain an adaptive control scheme, it is first necessary to clarify the beating requirements of the loom, including the frequency, force, and accuracy of beating, etc. These requirements will directly affect the design and simulation parameters of the transmission system. The beating requirements of the loom are combined with the transmission analysis module to simulate the power flow of the beating cam transmission, which can be understood as taking the operating parameters of the loom as the requirements and combining the main transmission structure of each transmission component during the operation to simulate and simulate the power flow of the power transmission and energy conversion process during the operation, and then determine the pre-control scheme and the transmission correlation function based on the operation power flow. Among them, the pre-control scheme refers to the control scheme predicted based on the power transmission and energy conversion inside the loom, which is the basic scheme for operation control; the transmission correlation function describes the motion relationship between the components in the transmission system, with the power component as the input and the actuator as the output, and describes the mathematical relationship. Among them, the power component can be the angle or speed of the cam, and the output can be the displacement or speed of the actuator. And the transmission correlation function is defined based on the unit, which can be a complete operation cycle.

[0037] The power flow simulation can accurately simulate the power transmission process of the beating cam transmission and predict the key parameters such as the motion state, speed, acceleration, etc. of the loom during the beating process. The determination of the pre-control scheme ensures that the loom can operate stably under different working conditions, laying the foundation for the regulation of the control scheme. By analyzing the transmission correlation function, we can understand the motion laws of each component in the beating mechanism, predict their interactions and influences, and can also be used to optimize the transmission design to make the beating mechanism more efficient and stable.

[0038] Step S300: Based on the pre-control scheme, in response to the loom control center, periodic dynamic control of the beating cam of the loom is performed;

[0039] Optionally, the control center is connected to the beating cam in some way so as to perform periodic dynamic control on the beating cam according to the pre-control scheme, and the connection method can be a hydraulic or pneumatic system, etc. During the operation of the loom, the control center needs to dynamically adjust the motion trajectory and speed of the beating cam according to the parameters such as the width of the fabric, the warp density, and the real-time operating status of the loom, such as the speed and tension, and calculate the current required beating cam motion parameters based on the sensor data on the loom, and drive the beating cam to perform corresponding periodic motion through the actuator.

[0040] Step S400: Determine feedback control rules in combination with the transmission correlation function and configure the digital feedback device;

[0041] Exemplarily, based on the transmission correlation function and the characteristics of the beating cam transmission, the goal of feedback control is determined, which can be the precise position, speed or acceleration of the beating cam to reduce errors and improve the quality and production efficiency of the fabric. Then, according to the goal of feedback control, corresponding feedback control rules are designed. These rules can calculate the required adjustment amount based on the real-time data received by the digital feedback device (such as the current position and speed of the beating cam), and send it to the control system to adjust the movement of the beating cam. For example, if the digital feedback device detects that the speed of the beating cam is lower than the set value, the feedback control rule may instruct the control system to increase the current of the drive motor to speed up the speed of the beating cam.

[0042] A digital feedback device is a device or system component that is used to collect, process and feedback digital signals. By receiving the output signal from the controlled object and comparing it with the expected reference signal, the deviation between the two is calculated to generate a control signal, which is sent back to the controlled object to adjust its output. In this embodiment, the feedback control rule is the expected reference signal. According to the designed feedback control rule, the digital feedback device is initialized and configured, including setting the sampling rate, resolution, output range and other parameters of the feedback device to ensure that it can accurately receive and send data, and perform weft cam control monitoring and feedback control.

[0043] Step S500: connecting the digital feedback device to the loom control center, synchronously performing weft beating cam control monitoring, and returning real-time operation control data to the digital feedback device;

[0044] Furthermore, the digital feedback device is fixed to the shaft or moving part of the beating cam so as to accurately detect its motion state, and the output signal line of the digital feedback device is connected to the corresponding input interface of the loom control center to complete the connection between the digital feedback device and the loom control center. The loom is started and the motion state of the beating cam is monitored in real time. The digital feedback device will continuously send data to the loom control center to reflect the real-time position, speed, acceleration and other parameters of the beating cam. The loom control center will display these parameters in real time and provide a visual monitoring interface to intuitively understand the operating state of the beating cam. The data sent back by the digital feedback device is analyzed to evaluate the operating performance of the beating cam, including calculating indicators such as position error and speed fluctuation to determine whether the beating cam is in the best working state. If an abnormal situation or deviation is found, the loom control center can automatically adjust the driving parameters (such as motor current, speed, etc.) of the beating cam according to the preset feedback control strategy to optimize its operating performance.

[0045] By transmitting the operation and control data of the beating cam in real time through the digital feedback device, the loom control center can monitor the movement status of the beating cam in real time, which helps to ensure that the beating cam runs according to the predetermined trajectory and speed, thereby improving the operation efficiency and stability of the loom.

[0046] Step S600: Determine a feedback control scheme based on the digital feedback device, and perform feedback control in response to the loom control center.

[0047] Specifically, the digital feedback device collects the operation and control data of the beating cam in real time, and the loom control center receives and analyzes these data. Finally, the feedback control scheme is determined according to the preset control objectives and performance indicators, and the driving parameters or control strategies of the beating cam are adjusted in real time according to the feedback control scheme. The feedback control scheme may include adjusting the driving parameters of the beating cam (such as motor current, speed, etc.), optimizing the control algorithm, changing the operation strategy of the loom, etc. Through the feedback control scheme based on the digital feedback device, the loom control system can respond to the operation status of the loom in real time and make adaptive adjustments, which improves the production efficiency and product quality of the loom, reduces production costs, and enhances the stability and reliability of the system.

[0048] Furthermore, if Figure 4 As shown, the transmission analysis module includes a transmission simulation unit and a transmission analysis unit, which is a staggered full-connected loop structure. Step S100 of the present application also includes:

[0049] Step S110: the transmission simulation unit includes a transmission simulation area and a data storage area, the transmission analysis unit includes a decision analysis area and an integrated output area, and the decision analysis area has built-in underlying transmission rules;

[0050] Step S120: establishing a lateral interaction channel between the data storage area and the decision analysis area to generate the transmission analysis module, wherein a verification loop exists between the integrated output area and the decision analysis area.

[0051] Optionally, the transmission analysis module includes a transmission simulation unit and a transmission analysis unit. The transmission simulation unit is responsible for simulating the dynamic behavior of the transmission system, such as the change in the action of the actuator under the change of the cam speed; the transmission analysis unit is a module for in-depth analysis and evaluation of the transmission system, that is, performance analysis such as the stability of the transmission structure under parameter changes. In the transmission analysis module, the transmission simulation unit and the transmission analysis unit are interconnected through a staggered fully connected loop structure. The output of the simulation unit can be used as the input of the analysis unit to provide rich data support for the analysis. The results of the analysis unit can be fed back to the simulation unit for adjusting the simulation parameters or models to further improve the accuracy of the simulation. This structure enables two-way information flow and data sharing between the two units, providing an efficient and flexible platform for the simulation and analysis of the transmission system.

[0052] Among them, the transmission simulation unit also includes a transmission simulation area and a data storage area. The transmission simulation area is responsible for simulating the transmission system, and the data storage area stores the simulation parameters, simulation results, historical data and other data generated during the transmission simulation process. These data provide a basis for subsequent analysis and decision-making. The transmission analysis unit also includes a decision analysis area and an integrated output area. The decision analysis area has built-in underlying transmission rules to use the data obtained from the data storage area in combination with the built-in rules to perform decision analysis of the transmission system. The underlying transmission rules include the basic principles, physical characteristics, control logic, etc. of the transmission system. The integrated output area is responsible for integrating the analysis results and decisions obtained in the decision analysis area and outputting them in a suitable form.

[0053] Furthermore, the data storage area of ​​the transmission simulation unit and the decision analysis area of ​​the transmission analysis unit have a lateral interaction channel, so that data can flow freely between the two areas. In this way, the decision analysis area can access the data in the data storage area at any time, and the data storage area can also receive information fed back by the decision analysis area, thereby improving the efficiency of data circulation and sharing, ensuring real-time feedback and monitoring, and helping to promptly discover problems, adjust parameters or optimize solutions, thereby improving the performance and reliability of the transmission system.

[0054] In addition, there is a verification loop between the decision analysis area and the integrated output area of ​​the transmission analysis unit to ensure that the output results meet the preset standards or requirements. If the results obtained in the integrated output area do not meet the requirements, the verification loop will feed them back to the decision analysis area for re-analysis or adjustment, thereby improving the accuracy of the decision analysis.

[0055] By constructing the transmission analysis module through the above design, a comprehensive and in-depth analysis of the transmission system can be achieved, providing strong support for the design, optimization and control of the transmission system.

[0056] Furthermore, the transmission simulation unit includes a transmission simulation area, and step S110 of the present application further includes:

[0057] Step S111: Modeling elements of interactive transmission analysis, including structural elements and soft control elements;

[0058] Step S112: based on the transmission analysis requirements, determine the element strength, determine the element characteristics of the modeling elements, and integrate to obtain effective modeling elements;

[0059] Step S113: Based on the effective modeling elements, non-uniform element modeling is performed to determine a three-dimensional model of the loom;

[0060] Step S114: training the transmission simulation area based on the loom three-dimensional model.

[0061] Exemplarily, the transmission simulation area is obtained based on the three-dimensional model training of the loom. When preparing for modeling, the modeling elements are first determined, including structural elements and soft control elements. The structural elements are usually related to the physical structure of the transmission system, such as transmission shafts, gears, belts, chains, etc., which are the basis of modeling and determine the basic layout and mechanical properties of the transmission system; the soft control elements involve the control logic, algorithm and parameter setting of the transmission system. The soft control elements are essential for realizing the intelligence, automation and precise control of the transmission system. Next, according to the specific needs of the transmission analysis, the element strength is determined, that is, the strength of the structural elements and soft control elements is evaluated, which includes analyzing the key indicators such as the load capacity, transmission efficiency, and control accuracy of the transmission system to determine the key element characteristics and the importance of each element parameter. Finally, based on the element strength, the structural elements and soft control elements are interactively analyzed and integrated to obtain effective modeling elements, which should be able to fully reflect the physical characteristics and control logic of the transmission system.

[0062] Due to the differences in functions and performances of various elements in the transmission system, it is necessary to adopt non-uniform element modeling, that is, to assign different weights and priorities in the model according to the characteristics and strengths of each effective modeling element, so as to more accurately reflect the actual situation of the transmission system. In the process of non-uniform element modeling, macro modeling and micro modeling methods can be used. Macro modeling focuses on the overall performance and behavior of the transmission system, while micro modeling focuses on the interaction and dynamic behavior between various elements. By combining these two methods, a transmission system model with both a global perspective and detailed accuracy can be constructed.

[0063] The model after modeling the non-uniform elements is determined as the three-dimensional model of the loom. This model can accurately reflect the structure, size and layout of the loom, providing a basis for subsequent transmission simulation. Based on the three-dimensional model of the loom, simulation parameters are set, control algorithms are loaded, and test cases are used to train the transmission simulation area. Through continuous training and debugging, the accuracy and reliability of the simulation results can be improved.

[0064] Furthermore, the step S400 of the present application further includes: determining feedback control rules in combination with the transmission correlation function and configuring the digital feedback device;

[0065] Step S410: identifying the transmission correlation function, and determining a mapping relationship between transmission characteristics and control parameters, wherein the mapping relationship includes one-to-one, one-to-many, or many-to-many;

[0066] Step S420: determining the feedback control rule based on the mapping relationship;

[0067] Step S430: configuring the digital feedback device in combination with the feedback control rule, and retrieving feedback control samples to perform convergence verification on the configured digital feedback device.

[0068] Specifically, the correlation function describing the dynamic behavior of the transmission system is identified and obtained, and the mapping relationship between the transmission characteristics (such as speed, position, force, etc.) and the control parameters (such as voltage, current, frequency, etc.) is determined based on the identified transmission correlation function. These mapping relationships can be one-to-one, one-to-many, or many-to-many. Among them, one-to-one mapping means that one control parameter directly affects one transmission characteristic; one-to-many mapping means that one control parameter affects multiple transmission characteristics at the same time; and many-to-many mapping means that multiple control parameters jointly affect multiple transmission characteristics to form a complex network. Then, feedback control rules are formulated based on these mapping relationships, and the rules include the setting of corresponding adjustment mapping and adjustment amplitude. If there is an actual control deviation in a certain feature during operation, the relevant control parameters of the mapping are determined based on the deviation characteristics, and the parameter amplitude is determined based on the deviation degree specified by the feedback control rule, and the parameter adjustment is performed to achieve feedback control.

[0069] The digital feedback device is initialized and configured based on the feedback control rule, and a feedback control sample is prepared to perform convergence verification on the configured digital feedback device to obtain the optimized digital feedback device. Among them, the feedback control sample is usually a set of data containing the expected transmission characteristics (such as speed, position, etc.) and corresponding control parameters, which can come from the historical records of the actual system, the output of the simulator, or the test cases generated artificially. After preprocessing the sample data, the performance of the digital feedback device is tested in a simulation environment. The expected transmission characteristics in the sample are used as the target to observe whether the controller can adjust the control parameters according to the feedback control rule so that the output of the transmission system approaches or reaches the target value. Then, the results of the simulation test are evaluated by comparing the difference between the actual output and the expected output. If the results of the simulation test are not ideal, the parameters of the controller can be adjusted or the control algorithm can be improved. Finally, the configured digital feedback device can also be deployed in the actual transmission system for verification to verify the performance and stability of the controller. Finally, according to the experimental results and actual needs, the controller is iteratively optimized to improve its performance and robustness.

[0070] By configuring the settings of the digital feedback device through feedback control rules, the efficiency and accuracy of control can be improved and the control effect can be guaranteed.

[0071] Furthermore, if Figure 2 As shown, the feedback control scheme is determined based on the digital feedback device, and step S600 of the present application also includes:

[0072] Step S610-1: Identify the real-time operation control data and make a transmission state decision, wherein the transmission state includes transmission offset and transmission centering;

[0073] Step S620-1: if the transmission state is transmission offset, locate the transmission rest point, the transmission rest point has a positive and negative sign mark, including rest characteristics and rest degree;

[0074] Step S630-1: Determine a feedback control scheme based on the transmission rest point.

[0075] Optionally, the real-time data of key operation and control parameters such as the rotation speed, position, and torque of the transmission shaft are collected, and further, the collected real-time operation and control data are analyzed to determine the current transmission state, wherein the transmission state includes transmission offset and transmission centering. The transmission offset refers to the offset of the transmission shaft or transmission component relative to its expected position or direction; the transmission centering refers to the operation of the transmission component in the correct centering state. If the transmission state is a transmission offset, it means that there is a deviation in the motion state and regulation is required, but the regulation cannot affect the operation of the entire device, so it is necessary to further locate the transmission rest point. The transmission rest point refers to the position where the transmission system stops moving or changes significantly in a certain position or state, and the rest point has a positive and negative sign to indicate different rest directions and degrees. In addition, the transmission rest point also includes rest characteristics and rest degree. The rest characteristics describe the specific properties of the rest point, such as position, offset, speed change, etc., and the rest degree is a quantitative indicator used to measure the severity of the rest or the scope of influence. Furthermore, a suitable feedback control scheme is formulated based on the position and rest characteristics of the transmission rest point, such as adjusting transmission parameters (such as speed, torque, etc.), changing the transmission path or direction, activating a compensation mechanism, etc.

[0076] By identifying the transmission status and the rest points under abnormal positioning conditions, parameter control is achieved without affecting the overall operation of the equipment, ensuring efficient control and adjustment accuracy.

[0077] Furthermore, based on the digital feedback device determining the feedback control scheme, step S600 of the present application further includes:

[0078] Step S610-2: Based on the real-time operation control data, a transmission stability analysis is performed with a single transmission cycle as a reference to determine a first analysis result;

[0079] Step S620-2: Based on the multiple transmission cycles, parallel steady state analysis is performed between transmission cycles to determine a second analysis result;

[0080] Step S630-2: Based on the first analysis result and the second analysis result, a feedback control decision is made in combination with the digital feedback device.

[0081] Exemplarily, the transmission system is adjusted and controlled from the perspective of stability. First, the stability and performance of the transmission system within a single transmission cycle are evaluated to obtain a first analysis result, and then the stability and consistency of the transmission system between multiple transmission cycles are evaluated, that is, multiple continuous transmission cycles are selected for analysis, which can be a fixed number of cycles or cycles based on time or event triggering, and the data within multiple cycles are compared and analyzed, such as comparing the changes in indicators such as speed fluctuations and position deviations in different cycles, and then the stability and consistency of the transmission system between multiple cycles are evaluated, and whether there are periodic fluctuations or deviations is determined, and a second analysis result is generated. Finally, the first analysis result and the second analysis result are fused to comprehensively evaluate the overall stability and performance of the transmission system. Among them, the analysis result is a record of the stability and consistency of the transmission system within the cycle. The result fusion step can be a fusion of the results after standardization by weighted average method, geometric mean method or other appropriate mathematical methods. The fusion result is compared with a preset threshold to determine whether the system is in a stable state or needs further optimization and adjustment. Among them, the preset threshold can be defined by those skilled in the art. Finally, the digital feedback device is combined to make feedback control decisions based on the fusion result.

[0082] By adjusting and controlling the transmission system from the perspective of stability, the working requirements of the equipment can be better met and the overall system performance can be improved. When the stability of the transmission system is improved, the wear and aging of its internal parts will slow down, thereby reducing the failure rate, downtime and maintenance costs caused by failures. In addition, a stable transmission system can ensure that the mechanical device operates at a constant speed and torque, thereby producing more stable and consistent products and improving product quality.

[0083] Furthermore, step S600 of the present application also includes:

[0084] Step S610-3: Retrieve the feedback control records of the predetermined time zone, mine the pre-adjustment control points that meet the frequent threshold and trace them to the source, and determine the deviation cause, wherein the deviation cause includes service status deviation and environmental impact deviation;

[0085] Step S620-3: traverse the deviation causes and perform adjustability analysis;

[0086] Step S630-3: Control and manage the inducement source for the adjustable inducement;

[0087] Step S640 - 3 : For non-adjustable inducements, compensatory adjustment of the mapping control points of the pre-control scheme is performed.

[0088] Specifically, the data record library of the transmission system is accessed and retrieved, and all feedback control records within a predetermined time zone (such as the past week, month, or a specific time period) are retrieved and extracted. In the obtained feedback control records, data analysis tools or algorithms are used to identify those pre-adjustment control points that frequently appear or exceed a predetermined threshold. These control points may be key points for system stability degradation, performance fluctuations, or energy efficiency reduction. Then, these frequently occurring problems are traced and analyzed to determine the root cause of the problem. The predetermined threshold can be set based on actual needs.

[0089] Furthermore, the causes of deviation are clarified. In the process of traceability analysis, the causes of deviation can be divided into two categories, namely service status deviation and environmental impact deviation. The service status deviation may include wear and fatigue, poor lubrication, mechanical looseness, installation error or spring fatigue. For example, after a long period of use, the cam and related mechanical parts may suffer performance degradation due to wear, and this wear will cause problems with the accuracy and time control of the weft beating action; or if the cam and its surrounding parts are not lubricated enough or the lubricating grease is aged, it will cause increased friction, affecting the smoothness and accuracy of the weft beating action. The environmental impact deviation may include temperature changes, humidity changes, external vibrations, dust and pollutants. For example, if the loom is placed on an unstable ground or there is a strong vibration source nearby, these external vibrations may interfere with the normal operation of the weft beating cam.

[0090] After determining the corresponding deviation inducement, traverse multiple deviation inducements for adjustability analysis. Since there may be multiple factors causing the deviation, multiple factors are traversed in turn to determine whether they are adjustable, that is, to analyze whether the inducement factors can be solved through feedback adjustment, so that the equipment can be restored to a good state. If the inducement is adjustable, formulate targeted control and management measures, which may include optimizing the operation process, improving equipment maintenance, strengthening monitoring and early warning, etc., and then implement control and management measures, and continuously monitor its effects, and make necessary adjustments and optimizations. If the inducement is an objective and unadjustable factor, analyze its impact on the pre-control scheme, determine the control points that need to be compensated and adjusted, and calculate the corresponding compensation value. Implement compensation adjustment in the pre-control scheme to ensure the stability and performance of the system, and monitor the system performance after compensation adjustment to ensure that the expected effect is achieved. For example, the adjustability analysis of factors that affect the control energy efficiency, such as external vibration, is carried out. Taking external vibration as an example, the vibration source is locked and it is determined whether the amplitude and vibration frequency can be controlled. If not, as an uncontrollable factor, the control scheme is compensated to weaken the impact.

[0091] By tracing the causes, adjusting the deviations and compensating the solutions, the stability and performance of the system can be improved, and product quality and production efficiency can be guaranteed.

[0092] Through the technical solutions of the above-mentioned embodiments, the present application provides an intelligently adjustable weft beating cam control method for a loom, which solves the technical problems in the prior art that the weft beating cam cannot perform feedback control adjustment in time during the operation of the loom due to the low control intelligence level and insufficient matching and coordination of various components, resulting in low production efficiency and poor quality of finished products. The control solution can be monitored and adjusted with feedback in real time, which improves the stability and production efficiency of the system and ensures the technical effect of product quality.

[0093] Embodiment 2

[0094] Based on the same inventive concept as the intelligently adjusted weft beating cam control method for a loom in the aforementioned embodiment, Figure 3 As shown, the present application provides an intelligently adjustable weft beating cam control system for a loom, the system comprising:

[0095] The analysis module determination unit 11 is used to connect to the visual simulation platform, perform low-feature non-uniform modeling on the target loom, and determine the transmission analysis module;

[0096] A power flow simulation unit 12 is used to read the beating requirements of the loom, and in combination with the transmission analysis module, perform power flow simulation based on the beating cam transmission, and determine the pre-control scheme and the transmission correlation function, wherein the transmission correlation function is based on the unit transmission;

[0097] A dynamic control unit 13, for periodically dynamically controlling the beating cam of the loom in response to the loom control center based on the pre-control scheme;

[0098] A feedback configuration unit 14, used to determine feedback control rules in combination with the transmission correlation function, and configure the digital feedback device;

[0099] A control monitoring unit 15 is used to connect the digital feedback device and the loom control center, synchronously perform weft beating cam control monitoring, and return real-time operation control data to the digital feedback device;

[0100] The feedback control unit 16 is used to determine a feedback control scheme based on the digital feedback device and perform feedback control in response to the loom control center.

[0101] Furthermore, the analysis module determination unit 11 is further configured to perform the following steps:

[0102] The transmission simulation unit includes a transmission simulation area and a data storage area, and the transmission analysis unit includes a decision analysis area and an integrated output area, wherein the decision analysis area has built-in underlying transmission rules;

[0103] A lateral interaction channel between the data storage area and the decision analysis area is established to generate the transmission analysis module, wherein a verification loop exists between the integrated output area and the decision analysis area.

[0104] Furthermore, the analysis module determination unit 11 is further configured to perform the following steps:

[0105] Modeling elements for interactive transmission analysis, including structural elements and soft control elements;

[0106] Based on the transmission analysis requirements, determine the element strength, determine the element characteristics of the modeling elements, and integrate to obtain effective modeling elements;

[0107] Based on the effective modeling elements, non-uniform element modeling is performed to determine a three-dimensional model of the loom;

[0108] Based on the three-dimensional model of the loom, the transmission simulation area is trained.

[0109] Furthermore, the feedback configuration unit 14 is further configured to perform the following steps:

[0110] Identify the transmission correlation function and determine the mapping relationship between the transmission characteristics and the control parameters, wherein the mapping relationship includes one-to-one, one-to-many or many-to-many;

[0111] Based on the mapping relationship, determining the feedback control rule;

[0112] The digital feedback device is configured in combination with the feedback control rule, and feedback control samples are retrieved to perform convergence verification on the configured digital feedback device.

[0113] Furthermore, the feedback control unit 16 is further configured to perform the following steps:

[0114] Identify the real-time operation control data and make a transmission state decision, wherein the transmission state includes transmission offset and transmission centering;

[0115] If the transmission state is a transmission offset, a transmission rest point is located, and the transmission rest point has a positive and negative sign mark, including a rest feature and a rest degree;

[0116] Based on the transmission rest point, a feedback control scheme is determined.

[0117] Furthermore, the feedback control unit 16 is further configured to perform the following steps:

[0118] Based on the real-time operation control data, a transmission stability analysis is performed based on a single transmission cycle to determine a first analysis result;

[0119] Based on multiple transmission cycles, parallel steady state analysis is performed between transmission cycles to determine the second analysis result;

[0120] Based on the first analysis result and the second analysis result, feedback control decisions are made in combination with the digital feedback device.

[0121] Furthermore, the feedback control unit 16 is further configured to perform the following steps:

[0122] Retrieve the feedback control records of the predetermined time zone, mine the pre-adjustment control points that meet the frequent threshold and trace them to the source, and determine the deviation causes, wherein the deviation causes include service status deviation and environmental impact deviation;

[0123] Traversing the deviation causes and conducting adjustability analysis;

[0124] For adjustable inducements, control and manage the inducement sources;

[0125] For non-adjustable inducements, compensatory adjustments are made to the mapping control points of the pre-control scheme.

[0126] Through the above detailed description of a method for controlling a beating cam for a loom with intelligent adjustment, those skilled in the art can clearly understand the method and system for controlling a beating cam for a loom with intelligent adjustment in this embodiment. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0127] 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.

Claims

1. A method for controlling a beating cam for a loom with intelligent adjustment, characterized in that: The method comprises: Connect to the visual simulation platform, perform low-feature non-uniform modeling on the target loom, and determine the transmission analysis module; Read the beating requirements of the loom, combine with the transmission analysis module, perform power flow simulation based on the beating cam transmission, determine the pre-control scheme and the transmission correlation function, and the transmission correlation function is based on the unit transmission; Based on the pre-control scheme, in response to the loom control center, periodic dynamic control of the beating cam of the loom is performed; In combination with the transmission correlation function, feedback control rules are determined to configure the digital feedback device; Connecting the digital feedback device with the loom control center, synchronously performing weft beating cam control monitoring, and returning real-time operation control data to the digital feedback device; Determine a feedback control scheme based on the digital feedback device, and perform feedback control in response to the loom control center; The transmission simulation unit and the transmission analysis unit included in the transmission analysis module are staggered fully connected loop structures, including: The transmission simulation unit includes a transmission simulation area and a data storage area, and the transmission analysis unit includes a decision analysis area and an integrated output area, wherein the decision analysis area has built-in underlying transmission rules; Establishing a lateral interaction channel between the data storage area and the decision analysis area to generate the transmission analysis module, wherein a verification loop exists between the integrated output area and the decision analysis area; The transmission simulation unit includes a transmission simulation area, including: Modeling elements for interactive transmission analysis, including structural elements and soft control elements; Based on the transmission analysis requirements, determine the element strength, determine the element characteristics of the modeling elements, and integrate to obtain effective modeling elements; Based on the effective modeling elements, non-uniform element modeling is performed to determine a three-dimensional model of the loom; Based on the three-dimensional model of the loom, training the transmission simulation area; The step of combining the transmission correlation function, determining feedback control rules, and configuring the digital feedback device includes: Identify the transmission correlation function and determine the mapping relationship between the transmission characteristics and the control parameters, wherein the mapping relationship includes one-to-one, one-to-many or many-to-many; Based on the mapping relationship, determining the feedback control rule; The digital feedback device is configured in combination with the feedback control rule, and feedback control samples are retrieved to perform convergence verification on the configured digital feedback device.

2. The method according to claim 1, characterized in that The step of determining a feedback control scheme based on the digital feedback device includes: Identify the real-time operation control data and make a transmission state decision, wherein the transmission state includes transmission offset and transmission centering; If the transmission state is a transmission offset, a transmission rest point is located, and the transmission rest point has a positive and negative sign mark, including a rest feature and a rest degree; Based on the transmission rest point, a feedback control scheme is determined.

3. The method according to claim 1, characterized in that Determining a feedback control scheme based on the digital feedback device includes: Based on the real-time operation control data, a transmission stability analysis is performed based on a single transmission cycle to determine a first analysis result; Based on multiple transmission cycles, parallel steady state analysis is performed between transmission cycles to determine the second analysis result; Based on the first analysis result and the second analysis result, feedback control decisions are made in combination with the digital feedback device.

4. The method according to claim 1, characterized in that The method further comprises: Retrieve the feedback control records of the predetermined time zone, mine the pre-adjustment control points that meet the frequent threshold and trace them to the source, and determine the deviation causes, wherein the deviation causes include service status deviation and environmental impact deviation; Traversing the deviation causes and conducting adjustability analysis; For adjustable inducements, control and manage the inducement sources; For non-adjustable inducements, compensatory adjustments are made to the mapping control points of the pre-control scheme.

5. An intelligently adjustable beating cam control system for a loom, characterized in that: A method for controlling a beating cam for a loom using intelligent adjustment according to any one of claims 1 to 4, the system comprising: An analysis module determination unit is used to connect to a visual simulation platform, perform low-feature non-uniform modeling on a target loom, and determine a transmission analysis module; A power flow simulation unit is used to read the beating requirements of the loom, and in combination with the transmission analysis module, perform power flow simulation based on the beating cam transmission, and determine the pre-control scheme and the transmission correlation function, wherein the transmission correlation function is based on the unit transmission; A dynamic control unit, for periodically dynamically controlling the beating cam of the loom in response to the loom control center based on the pre-control scheme; A feedback configuration unit, used to determine feedback control rules in combination with the transmission correlation function, and configure the digital feedback device; A control and monitoring unit, used to connect the digital feedback device and the loom control center, synchronously perform beating cam control monitoring, and return real-time operation and control data to the digital feedback device; A feedback control unit is used to determine a feedback control scheme based on the digital feedback device and perform feedback control in response to the loom control center.

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