Processing control method and system for fitness equipment accessories

Abstract

The invention discloses a processing control method and system for fitness equipment accessories, and relates to the related technical field of processing control, and the method comprises the steps: determining a pre-processing accessory of target fitness equipment, and carrying out the component external connection quality analysis and the autologous quality analysis; determining an optimization target, and performing control parameter conversion and multi-dimensional integrated optimization by taking environmental characteristics as influence factors; the accessory machining record is read, the control precision amplitude is mined, and the periodic parameter control data is calibrated; transmitting to a production management system for processing control; and feedback regulation and control are conducted on accessory machining. The technical problems that in existing fitness equipment accessory machining, the quality control means is limited, data used for quality analysis control is single, consequently, the quality standard is not refined enough, and the accuracy of a machining control scheme of the whole production cycle is poor are solved, and the purposes that quality analysis is conducted based on multiple dimensions, accessory whole-cycle machining control is accurately conducted, and the production efficiency is improved are achieved. And the quality of the fitness equipment accessories is better.

Description

Technical Field

[0001] This application relates to the field of processing control technologies, and specifically to a processing control method and system for fitness equipment accessories. Background Art

[0002] With people's pursuit of a healthy lifestyle and increasing emphasis on health and fitness, the demand for fitness equipment is constantly growing, posing higher requirements for the processing quality, production efficiency, and cost control of accessories. Therefore, the processing control of fitness equipment accessories has become particularly important. As a key link in the production of fitness equipment accessories, processing control directly affects the performance, durability, and user experience of products, and requires precise processing techniques and quality control to ensure stable quality performance of the accessories. However, the traditional processing control of fitness equipment accessories relies on manual operation of simple mechanical equipment, which not only has limited means but also incomplete data for quality analysis, and cannot accurately control the quality, processing accuracy, and full-cycle quality control of the accessories, thus affecting the quality and performance of fitness equipment accessories.

[0003] Therefore, in the current related technologies of fitness equipment accessory processing control, there are technical problems such as limited means of quality control and single data for quality analysis and control, resulting in insufficient refinement of quality standards and poor accuracy of the processing control scheme for the entire production cycle. Summary of the Invention

[0004] By providing a processing control method and system for fitness equipment accessories, this application uses technical means such as quality analysis, model construction, and deviation overrun assessment to solve the technical problems existing in the processing of existing fitness equipment accessories, including limited means of quality control and single data for quality analysis and control, resulting in insufficient refinement of quality standards and poor accuracy of the processing control scheme for the entire production cycle. It achieves the technical effect of conducting quality analysis based on multiple dimensions, precisely controlling the processing of accessories throughout the entire cycle, and making the quality of fitness equipment accessories better.

[0005] The present application provides a processing control method for fitness equipment accessories. The method includes: determining pre-processed accessories for the target fitness equipment and determining batch work order information, where the pre-processed accessories are single accessories or assemblies; identifying the batch work order information, performing component external connection quality analysis and self-quality analysis on the pre-processed accessories, and performing quality fitting to determine the expected quality standard. Among them, the external connection standard is determined based on the assembly requirements of the pre-processed accessories and the assembled parts of the target fitness equipment; determining the optimization target based on the expected quality standard, using the environmental characteristics as influencing factors, combining the parameter control conversion model to perform control parameter conversion and multi-dimensional integrated optimization, and determining periodic parameter control data. Among them, the optimization target includes at least the quality dimension, cost dimension, and environmental protection dimension; reading the accessory processing records and mining the control precision amplitude, using it as a preset interval to calibrate the periodic parameter control data, and determining the pre-control data; transmitting the pre-control data to the production management system to perform processing control on the production line machine tools; simultaneously performing accessory production monitoring, performing over-limit assessment of processing control deviation, and performing feedback regulation on accessory processing.

[0006] In a possible implementation, to perform component external connection quality analysis on the pre-processed accessories, the following processing is performed: determining the assembly area characteristics based on the cooperation key points between the pre-processed accessories and the assembled parts, where the cooperation scenario is the operation scenario after assembly; determining the component assembly characteristics based on the assembly type and assembly accuracy; determining the component external connection quality based on the component assembly characteristics and the assembly area characteristics.

[0007] In a possible implementation, to perform self-quality analysis on the pre-processed accessories, the following processing is performed: reading the total mass of the target fitness equipment, performing total mass allocation based on the functional characteristics of the pre-processed accessories to determine the component global quality; performing local pressure bearing and multi-source resistance analysis based on the usage conditions and environmental conditions to determine the component local quality; using the component global quality and the component local quality as the component self-quality, where the component self-quality includes surface quality and internal quality.

[0008] In a possible implementation, when performing quality fitting to determine the expected quality standard, the following processing is also performed: determining the three-dimensional spatial distribution of the pre-processed accessories, performing same-point mapping on the component external connection quality, the component local quality, and the component global quality to determine N quality arrays, where N is the same as the number of mapping points; traversing the N quality arrays, extracting the first quality array and performing extraction of the highest magnitude of the index as the fitting quality index; completing the index fitting of the Nth quality array, integrating the fitting quality indexes, and determining the expected quality standard.

[0009] In a possible implementation, to determine the periodic parameter control data, the following processing is also performed: reading the multi-dimensional indicators based on the quality dimension, cost dimension, and environmental protection dimension, setting priorities under indicator collisions, and determining the dimension avoidance principle; interacting with the production line processing environment of the pre-processed parts, performing characteristic screening based on processing impacts, and determining the environmental characteristics; using the dimension avoidance principle and the environmental characteristics as optimization constraints, and analyzing and determining the periodic parameter control data in combination with the parameter control conversion model.

[0010] In a possible implementation, the parameter control conversion model includes a parameter conversion layer and a parameter optimization layer, and the following processing is also performed: based on the parameter conversion layer, performing a full-cycle machine tool control parameter conversion on the expected quality standard to determine the processing control parameters; transferring the processing control parameters to the parameter optimization layer, balancing the optimization target dimensions and combining the optimization constraints, and using the processing control parameters as the initial solution to perform an optimization analysis for a predetermined number of iterations to determine the periodic parameter control data; among them, there is a subsequent adjustment of the control parameter conversion, including: determining the switching efficiency of the machine tool components related to the processing cycle based on the service status of the production line machine tool; adaptively adjusting the processing control parameters based on the switching efficiency.

[0011] In a possible implementation, when performing an optimization analysis for a predetermined number of iterations with the processing control parameters as the initial solution, the following processing is also performed: the optimization rule includes forward iteration and backward retraction, and the single-optimization parameter is at least one control parameter, with local optimization and global optimization as the forward determination criteria.

[0012] In a possible implementation, when performing an over-limit assessment of the processing control deviation and performing feedback regulation on the parts processing, the following processing is also performed: the over-limit deviation includes the coaxial limit and braking trend of the machine tool components and the pre-processed parts; generating a stage resumption work order based on the stage processing quality, and performing extended feedback control on the processing stage.

[0013] This application also provides a processing control system for fitness equipment parts, including: A pre-processed parts determination module, which is used to determine the pre-processed parts of the target fitness equipment and determine the batch work order information, and the pre-processed parts are single parts or assemblies; A pre-processed parts quality analysis module, which is used to identify the batch work order information, perform an external connection quality analysis and self-quality analysis on the pre-processed parts, and perform quality fitting to determine the expected quality standard, where the external connection standard is determined based on the assembly requirements of the pre-processed parts and the assembled parts of the target fitness equipment; A periodic parameter control data determination module, which is used to determine an optimization target based on the expected quality standard, take environmental characteristics as influencing factors, combine a parameter control conversion model to perform control parameter conversion and multi-dimensional integrated optimization, and determine periodic parameter control data, wherein the optimization target at least includes a quality dimension, a cost dimension, and an environmental protection dimension; A parameter control data calibration module, which is used to read the fitting processing records and mine the amplitude of control precision, and use it as a preset interval to calibrate the periodic parameter control data to determine pre-control data; A fitting processing control module, which is used to transmit the pre-control data to the production management system for processing control of the production line machine tools; A processing feedback regulation module, which is used to synchronously monitor the fitting production, perform an over-limit assessment of the deviation of the processing control, and perform feedback regulation on the fitting processing.

[0014] It is intended to determine the pre-processed fittings of the target fitness equipment through the processing control method and system for fitness equipment fittings proposed in this application, and perform external connection quality analysis and self-quality analysis of the components; determine the optimization target, take environmental characteristics as influencing factors, perform control parameter conversion and multi-dimensional integrated optimization; read the fitting processing records and mine the amplitude of control precision to calibrate the periodic parameter control data; transmit it to the production management system for processing control; perform feedback regulation on the fitting processing. This solves the technical problems existing in the processing of existing fitness equipment fittings, such as limited means of quality control and single data for quality analysis and control, resulting in insufficient refinement of quality standards and poor accuracy of the processing control plan for the entire production cycle. It achieves the technical effect of performing quality analysis based on multiple dimensions, precisely controlling the processing of fittings throughout the cycle, and making the quality of fitness equipment fittings better. Description of the Drawings

[0015] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0016] Figure 1 It is a schematic flowchart of the processing control method for fitness equipment fittings provided by the embodiments of the present application; Figure 2 It is a schematic flowchart of performing external connection quality analysis in the processing control method for fitness equipment fittings provided by the embodiments of the present application; Figure 3Schematic flow diagram for self-quality analysis in the processing control method of fitness equipment accessories provided by the embodiments of the present application; Figure 4 Schematic structural diagram of the processing control system for fitness equipment accessories provided by the embodiments of the present application.

[0017] Explanation of reference numerals: pre-processed accessory determination module 10, pre-processed accessory quality analysis module 20, periodic parameter control data determination module 30, parameter control data calibration module 40, accessory processing control module 50, processing feedback regulation module 60. Detailed implementation manners

[0018] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other objects, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0020] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0021] The embodiments of the present application provide a processing control method for fitness equipment accessories, as Figure 1 shown, the method includes: Step S100: Determine the pre - processed components of the target fitness equipment and the batch work order information. The pre - processed components are single components or assemblies. Determine the pre - processed components of the target fitness equipment. Among them, the pre - processed components can be single components or assemblies composed of multiple parts. Specifically, a single component refers to a part of the fitness equipment, which is a single and indivisible part. For example, bolts, nuts, bearings, etc.; an assembly is a component composed of multiple single components, including some complex structures, such as connecting rods, support frames, etc.; the batch work order information refers to the information related to the production and processing of the pre - processed components of the target fitness equipment. For example, the batch work order information includes key contents such as production batch, processing requirements, process parameters, process flow, materials, required equipment, processing time, etc.

[0022] Step S200: Identify the batch work order information, conduct an external connection quality analysis and an autogenous quality analysis on the pre - processed components, and perform quality fitting to determine the expected quality standard. Among them, the external connection standard is determined based on the assembly requirements of the pre - processed components and the assembled components of the target fitness equipment. Identify the batch work order information of the pre - processed components of the determined target fitness equipment, conduct an external connection quality analysis and an autogenous quality analysis on the pre - processed components, and after completion, perform quality fitting to determine the expected quality standard. Specifically, for the external connection quality analysis of the pre - processed components, it is mainly to analyze the connection quality and matching degree between the pre - processed components and other components, that is, to analyze the connection accuracy, stability and reliability of the interface, connection points or assembly surfaces of the pre - processed components when assembled onto the target fitness equipment. For example, factors such as the geometric dimensions, shape tolerances, surface roughness, etc. of the interface, as well as the fit clearance and fastening force between the connecting parts; the autogenous quality analysis is to analyze and evaluate the quality of the pre - processed components themselves, including checking the physical properties such as the material, hardness, strength, etc. of the components and the process properties such as processing accuracy, surface quality, etc. Through the autogenous quality analysis, ensure that the pre - processed components have sufficient performance and stability when used alone; according to the results of the external connection quality analysis and the autogenous quality analysis, combined with the overall performance requirements of the target fitness equipment, formulate an expected quality standard, considering both the connection requirements between the pre - processed components and other assembled components and the quality requirements of the components themselves.

[0023] In a possible implementation, such as Figure 2As shown, step S200 performs component external connection quality analysis on the pre-processed components, and further includes step S210 of determining the assembly area characteristics based on the cooperation key points between the pre-processed components and the assembled components, where the cooperation scenario is the operation scenario after assembly. Based on the cooperation key points between the pre-processed components and the assembled components, determine the assembly area characteristics, and the cooperation scenario is the operation scenario after assembly. Specifically, it includes fixed connection, sliding connection, connection through connectors, etc., and the connection quality after connection needs to be ensured. For example, the overall stability after fixed connection, the smoothness of sliding connection, etc. It also includes step S220 of determining the component assembly characteristics based on the assembly type and assembly accuracy. Considering different assembly methods and the required assembly accuracy requirements comprehensively, analyze the characteristics shown by the components during the assembly process. Specifically, for different assembly methods, the component assembly characteristics are different. Assembly accuracy refers to the dimensional and positional accuracy requirements between various components during the assembly process of the product. The level of assembly accuracy directly affects the component assembly characteristics. Select the most suitable assembly plan according to the assembly method and assembly accuracy to determine the characteristics of the components during the assembly process. It also includes step S230 of determining the component external connection quality based on the component assembly characteristics and the assembly area characteristics. Evaluate the quality of the connection between the component and the outside by analyzing the characteristics shown by the component during the assembly process and the specific characteristics of the assembly area. Specifically, comprehensively evaluate the component external connection quality according to the assembly method, assembly accuracy, and assembly area characteristics.

[0024] In one possible implementation, such as Figure 3As shown, step S200 performs self-quality analysis on the pre-processed fittings, and further includes step S240, which reads the total mass of the target fitness equipment, apportions the total mass based on the functional characteristics of the pre-processed fittings, and determines the global mass of the components. Among them, the total mass refers to the overall mass of the fitness equipment, including the total weight of all components and fittings. When apportioning the mass based on the functional characteristics of the pre-processed fittings, factors such as the material, size, shape, and stress conditions of the fittings need to be considered. For example, fittings with a greater load-bearing capacity may need to bear more mass, while some auxiliary or decorative fittings may be apportioned less mass. By comprehensively considering these factors, the mass of each pre-processed fitting can be determined more accurately. After the mass of all pre-processed fittings is apportioned, the sum of the masses of each component obtained is the global mass of the components, which reflects the overall mass distribution of the fitness equipment. It also includes step S250, which performs local pressure-bearing and multi-source resistance analysis based on the usage conditions and environmental conditions to determine the local mass of the components. Among them, the usage conditions usually include the load, stress, vibration, usage frequency, and service life that the components bear during use, and the environmental conditions include environmental factors such as temperature, humidity, and corrosiveness where the components are located, which directly affect the performance and stability of the components. Local pressure-bearing analysis is to evaluate the ability of the components to bear pressure in a specific area. Specifically, by analyzing the stress distribution, deformation conditions, and possible failure modes when the components bear pressure, the performance of the components in terms of local pressure-bearing can be determined; multi-source resistance analysis is to consider the resistance ability of the components under the action of multiple external factors. The external factors may include mechanical loads, chemical corrosion, thermal stress, etc. By analyzing the response and performance changes of the components under the action of multiple factors, the multi-source resistance ability of the components, that is, the stability and durability of the components in a complex environment, can be evaluated. Based on the results of the local pressure-bearing and multi-source resistance analysis, the local mass of the components can be determined. It also includes step S260, which takes the global mass of the components and the local mass of the components as the self-quality of the components, and the self-quality of the components includes surface quality and internal quality. Taking the global mass of the components and the local mass of the components as the self-quality of the components, the self-quality of the components refers to the mass characteristics possessed by the components themselves, including two aspects: surface quality and internal quality. Specifically, the surface quality refers to the state and quality of the component surface, including surface roughness, surface waviness, cold work hardening, residual stress, etc.; the internal quality refers to the material and structural characteristics inside the component, including the physical properties, chemical composition, internal defects, and structural integrity of the material. Good internal quality can ensure that the component has sufficient strength, toughness, and durability during use.

[0025] In a possible implementation, step S200 further includes step S270 of determining the three-dimensional spatial distribution of the pre-processed fittings, performing same-point mapping on the external connection quality, local quality, and global quality of the component, and determining N quality arrays, where N is the same as the number of mapping points. The specific positions and relative relationships of each pre-processed fitting in the overall structure are clarified, the three-dimensional spatial distribution of the pre-processed fittings is established, and the external connection quality, local quality, and global quality of the component are mapped and associated with the three-dimensional spatial distribution of the pre-processed fittings. Specifically, each quality characteristic value (external connection quality, local quality, global quality) is mapped to the position of the corresponding pre-processed fitting in space. Each mapping point corresponds to three quality characteristics of a pre-processed fitting, that is, there will be an external connection quality value, a local quality value, and a global quality value at each point, forming N quality arrays, where N is the same as the number of mapping points. Through this method of same-point mapping, the position of each pre-processed fitting in three-dimensional space and the related quality characteristics can be clearly understood. It further includes step S280 of traversing the N quality arrays, extracting the first quality array and performing extraction of the highest magnitude of the index as the fitting quality index. Specifically, traverse the N quality arrays, extract the first quality array, and extract the highest quality array with the same index, including the three-phase quality standards at a certain spatial point; where the quality standards are measured based on multiple indicators, then extract the indicator with the highest quality requirement, that is, compare and analyze the data in the array to determine which indicator (such as external connection quality, local quality, or global quality) reaches the highest magnitude and use it as the final production requirement, that is, meet the quality requirements in each dimension. It further includes step S290 of completing the index fitting of the Nth quality array, integrating the fitting quality index, and determining the expected quality standard. After completing the index fitting of all quality arrays, integrate all the fitting quality indices to formulate a clear quality standard as the expected quality standard to ensure that the component quality meets the requirements and facilitate processing control and quality improvement.

[0026] Step S300: Determine the optimization objective based on the expected quality standard. Taking environmental characteristics as influencing factors, combine with the parameter-control conversion model to perform control parameter conversion and multi-dimensional integrated optimization, and determine periodic parameter-control data. Among them, the optimization objective includes at least a quality dimension, a cost dimension, and an environmental protection dimension. Specifically, according to the previously integrated fitting quality indicators and the determined expected quality standard, set an optimization objective, which aims to achieve the optimal performance of products or services in multiple dimensions such as quality, cost, and environmental protection. During the optimization process, particularly consider the impact of environmental factors on the quality and cost of products or services. Environmental characteristics may include natural environmental conditions such as temperature, humidity, and pressure, as well as environmental impacts caused by humans such as pollution and emissions. Combine with the parameter-control conversion model to perform control parameter conversion and multi-dimensional integrated optimization, and determine periodic parameter-control data, that is, during the optimization process, find one or more sets of control parameters that can be periodically applied to the production process, including the operating parameters of production equipment, the usage amount of raw materials, the adjustment parameters of the production environment, etc. Among them, the parameter-control conversion model may be a mathematical model used to convert actual production parameters or control parameters into variables or parameters that can be processed by optimization algorithms; multi-dimensional integrated optimization refers to performing optimization in multiple dimensions (such as quality, cost, environmental protection) to find a parameter combination that can achieve better performance in these dimensions. The determination of periodic parameter-control data helps to achieve the stability and sustainability of the production process, thereby improving product quality and production efficiency while reducing environmental impacts.

[0027] In a possible implementation, step S300 further includes step S310 of reading the multi-dimensional metrics based on the quality dimension, cost dimension, and environmental protection dimension, setting priorities under metric collisions, and determining the dimension avoidance principle. Reading the multi-dimensional metrics of the quality dimension, cost dimension, and environmental protection dimension may include the product quality pass rate, unit product cost, carbon emissions, customer satisfaction, environmental protection certification level, etc. When there may be mutual conflicts or constraints between multiple metrics, determine the priority order of different metrics. For example, when improving product quality leads to an increase in cost, after setting the priorities among multiple dimensions and metrics, formulate the dimension avoidance principle to better coordinate the relationships among various dimensions. For example, when a certain dimension fails to meet the expected goal, how to adjust the metrics of other dimensions; or in the case of limited resources, how to prioritize ensuring the metrics of other dimensions, etc. It also includes step S320 of interacting with the production line processing environment of the pre-processed fittings, performing characteristic screening based on processing impacts, and determining the environmental characteristics. Specifically, interact with the production line processing environment, consider the impact of the processing environment of the pre-processed fittings on their characteristics and quality on the production line, and screen out those characteristics that have a significant impact on processing quality and efficiency from numerous environmental characteristics to determine the environmental characteristics, including environmental factors such as temperature, humidity, pressure, vibration, noise, dust, etc. For example, excessive vibration may cause the processing position to deviate; the environmental temperature and humidity may affect the heat treatment step. During the optimization process, try to weaken and avoid the above impacts. It also includes step S330 of using the dimension avoidance principle and the environmental characteristics as optimization constraints, and analyzing and determining the periodic control parameters in combination with the parameter control conversion model. The parameter control conversion model includes a parameter conversion layer and a parameter optimization layer.

[0028] In a possible implementation, step S330 further includes step S331, in which, based on the parameter conversion layer, the machine tool control parameters for the entire control cycle of the expected quality standard are converted to determine the processing control parameters. According to the expected quality standard, through the parameter conversion layer, the control parameters of the machine tool during the entire processing cycle are converted and optimized, so as to determine appropriate processing control parameters. It further includes step S332, in which the processing control parameters are transferred to the parameter optimization layer, the optimization target dimensions are balanced and combined with the optimization constraints, and with the processing control parameters as the initial solution, an optimization analysis is carried out for a predetermined number of iterations to determine the periodic parameter control data. The initially determined and converted processing control parameters are used as the initial solution and passed to the parameter optimization layer responsible for further optimization and search. During the optimization process, multiple target dimensions need to be comprehensively considered to seek a balance between dimensions, and an optimization analysis is carried out for a predetermined number of iterations. The parameter optimization layer will find one or more sets of control parameters that can be periodically applied to the production process. These parameters can optimize multiple target dimensions as much as possible while meeting the constraint conditions. It further includes step S333, in which there is a subsequent adjustment of the control parameter conversion. Based on the service status of the production line machine tool, the switching efficiency of the machine tool components related to the processing rhythm is determined. For example, the tool switching rate needs to reach a certain rate under high processing accuracy. If the tool status cannot meet the requirement, local processing extension and appropriate adjustment of the determined parameter control are required. It further includes step S334, in which the processing control parameters are adaptively adjusted based on the switching efficiency. Based on the determined switching efficiency, the processing control parameters are adaptively adjusted.

[0029] In a possible implementation, the optimization rule includes forward iteration and backward retraction. The single-optimization parameter is at least one control parameter, and local optimization and global optimization are used as the forward determination criteria. Specifically, forward iteration means that when the algorithm finds a better solution (i.e., a solution in the optimization direction), it will continue to iterate in this direction to find a more optimal solution, while backward retraction is a backtracking strategy when the algorithm falls into a local optimum or cannot find a better solution. That is, it returns to a previous state and tries other possible paths or directions. One or more control parameters adjusted in one iteration or optimization step. During the optimization process, the algorithm will judge whether to continue local optimization in the current area or jump out of the current area and try to find a possible global optimum solution according to the current solution situation and search strategy.

[0030] Step S400: Read the processing records of the accessories and mine the amplitude of the control precision as a preset interval to calibrate the periodic parameter control data and determine the pre-control data. After obtaining the processing records of the pre-processed accessories, conduct in-depth analysis and mining on these records to find out the fluctuation range or amplitude of the control precision during the processing. Among them, the amplitude of the control precision refers to the change range of the control parameters during the actual processing, reflecting the stability and controllability of the processing process. Use the mined amplitude of the control precision as a preset interval or range to calibrate or adjust the previously determined periodic parameter control data. After calibrating the periodic parameter control data, we obtain a set of more accurate control parameters, that is, the pre-control data.

[0031] Step S500: Transmit the pre-control data to the production management system for processing control of the production line machine tools. Integrate the optimized and calibrated pre-control data into the enterprise's production management system to achieve precise processing control of the production line machine tools. Specifically, after the pre-control data is correctly transmitted to the production management system, the production management system will precisely control the processing process of the production line machine tools according to the pre-control data, including setting and adjusting the motion trajectory, cutting parameters, processing sequence, etc. of the machine tools to achieve more refined processing control and improve the processing precision and efficiency of fitness equipment accessories.

[0032] Step S600: Synchronously monitor the accessory production, conduct an overrun assessment of the deviation of the processing control, and perform feedback regulation on the accessory processing. During the accessory production process, use measuring devices such as sensors and cameras to observe and record the production status, parameters, and results in real time, and compare and analyze the collected production data with the expected processing control parameters to determine whether there are significant deviations or differences. When the actual production data exceeds the preset allowable range or threshold, it is determined as an overrun. According to the results of the overrun assessment, timely adjust and optimize the processing process.

[0033] In a possible implementation, step S600 further includes step S610. The deviation exceeding the limit includes the coaxial limit and braking tendency between the machine tool components and the pre-processed fittings. The coaxial limit and braking tendency respectively represent the positioning before machine tool processing and the dynamic quality during processing. During the machine tool processing, to ensure the accuracy and stability of processing, each component of the machine tool (such as the spindle, feed axis, etc.) needs to maintain an accurate relative position relationship. Among them, the coaxial limit means that when these components are in motion, they need to be kept on the same axis or within a predetermined relative position range. If, due to mechanical wear, assembly error, thermal deformation, etc., the components deviate from the predetermined coaxial position, that is, the situation of exceeding the coaxial limit deviation occurs; the braking tendency means that during the machine tool processing, due to certain reasons (such as changes in cutting force, machine tool vibration, etc.), there is a tendency for the machine tool components or pre-processed fittings to suddenly stop or decelerate, affecting the smoothness and accuracy of processing. It further includes step S620, taking the staged processing quality as the benchmark, generating a stage resumption instruction, and performing extended feedback control on the processing stage. Among them, the staged processing quality refers to the quality level reached by the product within a specific processing stage; generating the stage resumption instruction is to decide whether to continue the next stage of processing or need to take certain corrective measures according to the quality inspection results of the current processing stage and the predetermined quality standard; during the processing, by continuously collecting and analyzing the actual processing data, comparing it with the predetermined quality standard, the processing process is adjusted and optimized in real time. If it is found that there are deviations or abnormalities between the actual processing data and the quality standard, a feedback signal is sent in a timely manner to adjust the processing parameters or take other corrective measures to ensure the stability of the processing process and the controllability of the product quality.

[0034] In the above text, with reference to Figure 1 the processing control method of the fitness equipment accessories according to the embodiments of the present invention has been described in detail. Next, with reference to Figure 4 the processing control system of the fitness equipment accessories according to the embodiments of the present invention will be described.

[0035] The processing control system of the fitness equipment accessories according to the embodiments of the present invention is used to solve the technical problems existing in the processing of existing fitness equipment accessories, such as limited means of quality control, single data for quality analysis and control, resulting in insufficient refinement of quality standards and poor accuracy of the processing control scheme for the entire production cycle. It achieves the technical effect of performing quality analysis based on multiple dimensions and precisely controlling the processing of accessories throughout the cycle, making the quality of fitness equipment accessories better. The processing control system of the fitness equipment accessories includes: a pre-processed fitting determination module 10, a pre-processed fitting quality analysis module 20, a periodic parameter control data determination module 30, a parameter control data calibration module 40, a fitting processing control module 50, and a processing feedback regulation module 60.

[0036] Pre - processing fitting determination module 10, the pre - processing fitting determination module 10 is used to determine the pre - processing fittings of the target fitness equipment and determine batch work order information, and the pre - processing fittings are single fittings or assemblies; Pre - processing fitting quality analysis module 20, the pre - processing fitting quality analysis module 20 is used to identify the batch work order information, perform component external connection quality analysis and self - quality analysis on the pre - processing fittings, and perform quality fitting to determine the expected quality standard. Among them, the external connection standard is determined based on the assembly requirements of the pre - processing fittings and the assembled parts of the target fitness equipment; Periodic parameter control data determination module 30, the periodic parameter control data determination module 30 is used to determine the optimization target based on the expected quality standard, use the environmental characteristics as influencing factors, combine the parameter control conversion model to perform control parameter conversion and multi - dimensional integrated optimization, and determine the periodic parameter control data. Among them, the optimization target includes at least the quality dimension, cost dimension, and environmental protection dimension; Parameter control data calibration module 40, the parameter control data calibration module 40 is used to read the fitting processing records and mine the control precision amplitude, and use it as a preset interval to calibrate the periodic parameter control data to determine the pre - control data; Fitting processing control module 50, the fitting processing control module 50 is used to transmit the pre - control data to the production management system for processing control of the production line machine tools; Processing feedback regulation module 60, the processing feedback regulation module 60 is used to simultaneously monitor the fitting production, perform over - limit assessment of the deviation of the processing control, and perform feedback regulation on the fitting processing.

[0037] Next, the specific configuration of the pre - processing fitting quality analysis module 20 will be described in detail. As described above, for the component external connection quality analysis of the pre - processing fittings, the pre - processing fitting quality analysis module 20 may further include: determining the assembly area characteristics based on the cooperation key points between the pre - processing fittings and the assembled parts, where the cooperation scenario is the operation scenario after assembly; determining the component assembly characteristics based on the assembly type and assembly accuracy; determining the component external connection quality based on the component assembly characteristics and the assembly area characteristics.

[0038] Next, the specific configuration of the pre - processing fitting quality analysis module 20 will be further described in detail. As described above, for the self - quality analysis of the pre - processing fittings, the pre - processing fitting quality analysis module 20 further includes: reading the total mass of the target fitness equipment, performing total mass allocation based on the functional characteristics of the pre - processing fittings to determine the global component quality; performing local pressure bearing and multi - source resistance analysis based on the usage conditions and environmental conditions to determine the local component quality; using the global component quality and the local component quality as the component self - quality, and the component self - quality includes surface quality and internal quality.

[0039] Next, the specific configuration of the pre - processed fitting quality analysis module 20 will be further described in detail. As described above, for performing quality fitting to determine the expected quality standard, the pre - processed fitting quality analysis module 20 further includes: determining the three - dimensional spatial distribution of the pre - processed fitting, performing co - point mapping on the external connection quality of the component, the local quality of the component, and the global quality of the component, and determining N quality arrays, where N is consistent with the number of mapping points; traversing the N quality arrays, extracting the first quality array and performing extraction of the highest magnitude of the index as the fitting quality index; completing the index fitting of the Nth quality array, integrating the fitting quality indices, and determining the expected quality standard.

[0040] Next, the specific configuration of the periodic parameter control data determination module 30 will be described in detail. The periodic parameter control data determination module 30 further includes: reading the multi - dimensional indices based on the quality dimension, cost dimension, and environmental protection dimension, setting the priority under index collision, and determining the dimension avoidance principle; interacting with the production line processing environment of the pre - processed fitting, performing characteristic screening based on processing impacts, and determining the environmental characteristics; using the dimension avoidance principle and the environmental characteristics as the optimization constraints, and analyzing and determining the periodic parameter control data in combination with the parameter control conversion model.

[0041] Next, the specific configuration of the periodic parameter control data determination module 30 will be further described in detail. As described above, the parameter control conversion model includes a parameter conversion layer and a parameter optimization layer. The periodic parameter control data determination module 30 further includes: based on the parameter conversion layer, performing conversion of the machine tool control parameters for the entire control cycle of the expected quality standard to determine the processing control parameters; transferring the processing control parameters to the parameter optimization layer, balancing the optimization target dimensions and combining the optimization constraints, and using the processing control parameters as the initial solution to perform optimization analysis for a predetermined number of iterations to determine the periodic parameter control data; among which, there is a subsequent adjustment for the control parameter conversion, including: determining the switching efficiency of the machine tool components related to the processing rhythm based on the service status of the production line machine tool; performing adaptive adjustment on the processing control parameters based on the switching efficiency.

[0042] Next, the specific configuration of the periodic parameter control data determination module 30 will be further described in detail. The periodic parameter control data determination module 30 may further include: the optimization rule includes forward iteration and backward retreat, the single - time optimization parameter is at least one control parameter, and the forward determination criteria are local optimization and global optimization.

[0043] Next, the specific configuration of the processing feedback control module 60 will be described in detail. The processing feedback control module 60 further includes: deviation exceeding the limit including coaxial limit and braking tendency of the machine tool component and the pre-processed fitting; generating a stage resumption instruction based on the staged processing quality, and performing extended feedback control of the processing stage.

[0044] The processing control system for fitness equipment accessories provided by the embodiments of the present invention can execute the processing control method for fitness equipment accessories provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0045] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included individual units and modules are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0046] The above specific embodiments do not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A processing control method for fitness equipment accessories, characterized in that: The method comprises: Determine the pre-processed parts of the target fitness equipment and determine the batch work order information, wherein the pre-processed parts are single parts or assemblies; Identify the batch work order information, perform component external connection quality analysis and self-quality analysis on the pre-processed accessories, and perform quality fitting to determine the expected quality standard, wherein the external connection standard is determined based on the assembly requirements of the pre-processed accessories and the assembly parts of the target fitness equipment; Determine an optimization target based on the expected quality standard, take environmental characteristics as influencing factors, combine the parameter conversion model to perform control parameter conversion and multi-dimensional optimization, and determine periodic parameter data, wherein the optimization target includes at least quality dimension, cost dimension and environmental dimension; Read the accessory processing record and mine the control accuracy amplitude, use it as a preset interval to calibrate the periodic parameter control data, and determine the pre-control data; Transmitting the pre-control data to the production management system to perform processing control on the production line machine tools; Simultaneously monitor the production of accessories, conduct over-limit assessments of processing control deviations, and provide feedback and regulation on accessory processing.

2. The processing control method of fitness equipment accessories according to claim 1, characterized in that: Performing component external connection quality analysis on the pre-processed accessories, the method further comprises: Based on the key points of collaboration between the pre-processed parts and the assembled parts, the features of the assembly area are determined, wherein the collaborative scene is the work scene after assembly; Determine component assembly characteristics based on assembly type and assembly accuracy; The quality of the external connection of the component is determined based on the assembly characteristics of the component and the characteristics of the assembly area.

3. The processing control method of fitness equipment accessories according to claim 2, characterized in that: Performing autologous quality analysis on the pre-processed parts, the method further comprises: Reading the assembly mass of the target fitness equipment, allocating the assembly mass based on the functional characteristics of the pre-processed accessories, and determining the global mass of the components; Based on the use conditions and environmental conditions, local pressure bearing and multi-source resistance analysis are carried out to determine the local quality of the components; The global mass of the component and the local mass of the component are taken as the self-mass of the component, and the self-mass of the component includes the surface mass and the internal mass.

4. The processing control method of fitness equipment accessories according to claim 3, characterized in that: The method of performing mass fitting to determine the expected quality standard further comprises: Determine the three-dimensional spatial distribution of the pre-processed accessories, perform point-to-point mapping on the external connection quality of the component, the local quality of the component and the global quality of the component, and determine N quality arrays, where N is consistent with the number of mapping points; Traversing the N quality arrays, extracting the first quality array and extracting the highest level of the index as the fitting quality index; The index fitting of the Nth quality array is completed, the fitting quality index is integrated, and the expected quality standard is determined.

5. The processing control method of fitness equipment accessories according to claim 1, characterized in that: The method further comprises: Read the multi-dimensional indicators based on the quality dimension, cost dimension and environmental protection dimension, set the priority under the indicator collision, and determine the dimension avoidance principle; Interact with the production line processing environment of the pre-processed parts, perform characteristic screening based on processing influence, and determine the environmental characteristics; The dimension avoidance principle and the environmental characteristics are used as optimization constraints, and the periodic parameter control data is determined in combination with the parameter control conversion model analysis.

6. The processing control method of fitness equipment accessories according to claim 5, characterized in that: The parameter control conversion model includes a parameter conversion layer and a parameter optimization layer, and the method further includes: Based on the parameter conversion layer, the machine tool control parameter conversion of the full cycle of the control of the expected quality standard is performed to determine the processing control parameters; The processing control parameters are transferred to the parameter optimization layer, the optimization target dimensions are balanced and combined with the optimization constraints, the processing control parameters are used as the initial solution, and the optimization analysis is performed for a predetermined number of iterations to determine the periodic parameter control data; Among them, there are post-step adjustments to control parameter conversion, including: Based on the service status of the machine tools on the production line, determine the switching efficiency of machine tool components related to the processing cycle; Based on the switching efficiency, the process control parameters are adaptively adjusted.

7. The processing control method of fitness equipment accessories according to claim 6, characterized in that: The optimization rules include iteration in the optimal direction and retreat in the inferior direction. The single optimization parameter is at least one control parameter, and local optimization and global optimization are used as the optimal direction judgment criteria.

8. The processing control method of fitness equipment accessories according to claim 1, characterized in that: Deviation beyond the limit includes the coaxial limit and braking trend of the machine tool components and pre-processed accessories; Based on the stage-by-stage processing quality, the stage-by-stage resumption instructions are generated to conduct extended feedback control of the processing stage.

9. A processing control system for fitness equipment accessories, characterized in that: The system is used to implement the processing control method of fitness equipment accessories according to any one of claims 1 to 8, and the system comprises: A pre-processed parts determination module, which is used to determine the pre-processed parts of the target fitness equipment and determine the batch work order information, wherein the pre-processed parts are single parts or assemblies; A pre-processed parts quality analysis module, the pre-processed parts quality analysis module is used to identify the batch work order information, perform component external connection quality analysis and self-quality analysis on the pre-processed parts, and perform quality fitting to determine the expected quality standard, wherein the external connection standard is determined based on the assembly requirements of the pre-processed parts and the assembly parts of the target fitness equipment; A periodic parameter control data determination module, the periodic parameter control data determination module is used to determine an optimization target based on the expected quality standard, taking environmental characteristics as influencing factors, combining a parameter control conversion model to perform control parameter conversion and multi-dimensional optimization, and determine periodic parameter control data, wherein the optimization target includes at least a quality dimension, a cost dimension, and an environmental dimension; A parameter control data calibration module, which is used to read the accessory processing record and mine the control accuracy amplitude, and calibrate the periodic parameter control data as a preset interval to determine the pre-control data; A parts processing control module, the parts processing control module is used to transmit the pre-control data to the production management system to perform processing control of the production line machine tools; A processing feedback control module is used to simultaneously monitor the production of accessories, conduct over-limit assessment of processing control deviations, and perform feedback control on accessory processing.

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