Wooden toy digital design and intelligent processing integrated system

Abstract

This invention proposes an integrated system for digital design and intelligent processing of wooden toys, comprising: a design and processing planning module, which can construct a geometric model of the wooden toy based on 3D modeling software and output geometric shape and size parameters, and generate a processing path planning model and output several processing path instructions based on the geometric shape and size parameters, as well as the historical wear data and current rigidity parameters of the processing equipment; and a processing path screening module, including a path feasibility judgment unit and a path detection unit, to output several feasible paths that can achieve the preset quality, thereby solving the problem that insufficient rigidity of physical processing equipment can easily cause vibration or tool deflection during intelligent processing, resulting in uneven wall thickness deviation between the actual processed dimensions and the digital design model, and easily causing wavy defects on the wooden surface, affecting the appearance accuracy and structural strength of the toy.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing technology for toys, specifically an integrated system for digital design and intelligent manufacturing of wooden toys. Background Technology

[0002] Currently, the production model of wooden toys that first undergoes digitalization and then intelligent processing, deeply links virtual design models with physical processing equipment through a data closed loop. This enables design parameters to automatically drive the optimization of processing technology and real-time feedback to correct processing errors, achieving precise, efficient, and flexible manufacturing from concept to finished product. This has become the mainstream production technology for wooden toys.

[0003] However, the rigidity of physical processing equipment is insufficient, which can easily cause vibration or tool deflection during intelligent processing. This can lead to uneven wall thickness deviation between the actual processed dimensions and the digital design model, and can also cause wavy defects on the wooden surface, affecting the appearance accuracy and structural strength of the toy.

[0004] Therefore, how to solve the compatibility problem between the rigidity of this machine tool and the digital design model has become an urgent problem for those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to solve the problem that the rigidity of physical processing equipment is insufficient, which can easily cause vibration or tool deflection during intelligent processing. This results in uneven wall thickness deviation between the actual processed dimensions and the digital design model, and can also easily cause wavy defects on the wooden surface, affecting the appearance accuracy and structural strength of toys.

[0006] To achieve the above objectives, the present invention provides an integrated system for digital design and intelligent processing of wooden toys, comprising: The design and processing planning module can build a geometric model of a wooden toy based on 3D modeling software and output its geometric shape and size parameters. Based on the geometric shape and size parameters, as well as the historical wear data and current rigidity parameters of the processing equipment, it can generate a processing path planning model and output several processing path instructions. The processing path screening module includes a path feasibility determination unit and a path detection unit. The path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and a feasibility determination algorithm, and input several processing path instructions into the path determination model in sequence to output several feasible paths that can obtain the preset quality. The path detection unit can extract the processing parameters of each feasible path, combine them with the current rigidity parameters, calculate the stable entropy value of the current feasible path, and select the current feasible path corresponding to the maximum stable entropy value as the actual operation path. The path implementation and adjustment module includes a path implementation control unit and a monitoring and adjustment unit. The path implementation control unit is used to drive and control the processing equipment according to the processing parameters of the actual operation path. The monitoring and adjustment unit can monitor the fluctuations of processing parameters in real time through the control terminal of the processing equipment and determine whether the parameter fluctuations are within the reasonable fluctuation range set according to the processing parameters. If so, then continue monitoring. If not, a parameter correction command will be triggered.

[0007] Optionally, the design and manufacturing planning module includes a geometry model generation unit, which can build geometric models of wooden toys based on CAD or CAM software and output geometric shapes and size parameters.

[0008] Optionally, the design and processing planning module also includes a processing path planning unit. The processing path planning unit can acquire historical wear data of the processing equipment and, in combination with geometric and dimensional parameters, generate a processing path planning model through a processing path planning algorithm. After inputting the current rigidity parameters into the processing path planning model, it can output several processing path strategies.

[0009] Optionally, the design and processing planning module also includes a strategy optimization unit. The strategy optimization unit can extract the material characteristic data of the wood to be processed according to the preset wood material type and input it into the processing path planning model to output and generate several processing path instructions.

[0010] Optionally, the path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and an expert system algorithm, extract the processing parameters of each processing path instruction and input them into the path determination model, so as to output several feasible paths that can obtain the preset quality.

[0011] Alternatively, the path detection unit uses a machine learning clustering algorithm to extract the processing parameters of each feasible path, and calculates the stable entropy value of the current feasible path based on the processing parameters and the current rigidity parameter, so as to select the current feasible path corresponding to the maximum stable entropy value as the practical path.

[0012] Alternatively, the path implementation control unit is used to decompose the processing parameters of the actual operation path into control commands based on the analytical algorithm, and convert the control commands into digital signals based on digital signal processing technology and output them to the control terminal of the processing equipment.

[0013] Optionally, the monitoring and adjustment unit includes a sensing subunit, which includes a speed sensor, a displacement sensor, and an acceleration sensor. The speed sensor is installed on the tool spindle of the machining equipment to monitor the speed of the tool spindle in real time and feed it back to the control terminal. The displacement sensor is installed on the worktable of the machining equipment to monitor the displacement of the worktable in real time and feed it back to the control terminal. The acceleration sensor is installed on the machine base of the machining equipment to monitor the vibration frequency of the machine base in real time and feed it back to the control terminal.

[0014] Optionally, the monitoring and adjustment unit also includes a parameter fluctuation determination subunit. This subunit can set a reasonable fluctuation range for each parameter in the processing parameters based on the processing parameters of the actual operation path and the characteristic data of the wood material to be processed, combined with the control chart algorithm, and determine whether the parameter fluctuation is within the reasonable fluctuation range. If so, then continue monitoring. If not, a parameter correction command will be triggered.

[0015] Optionally, the monitoring and adjustment unit also includes a correction instruction execution subunit, which is used to collect deviation parameters according to the parameter correction instructions and transmit them to the control terminal of the processing equipment, so that the control terminal can correct the deviation parameters of the processing equipment according to the processing parameters.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention proposes an integrated system for digital design and intelligent processing of wooden toys. Through a design and processing planning module, it constructs a geometric model of the wooden toy using 3D modeling software and outputs its shape and size parameters. Simultaneously, it generates a processing path planning model by combining historical wear data and current rigidity parameters of the processing equipment, outputting multiple processing path instructions. This solves the problem of blind path planning caused by unknown equipment status in traditional processing. Furthermore, the path feasibility judgment unit in the processing path filtering module uses a preset quality requirement database and judgment algorithm to construct a path judgment model, filtering out feasible paths that meet preset quality requirements, thus avoiding processing defects caused by unreasonable paths. The path detection unit in the processing path filtering module extracts the processing parameters of feasible paths and calculates stable entropy values, selecting the path corresponding to the maximum stable entropy value as the actual operation path, optimizing path stability and reducing the impact of vibration or tool deflection on processing accuracy. Finally, the monitoring and adjustment unit in the path implementation and adjustment module monitors processing parameter fluctuations in real time and determines whether they exceed reasonable ranges. If they do, a correction command is triggered to dynamically compensate for insufficient equipment rigidity, ensuring that the actual processing dimensions are consistent with the digital design model, eliminating uneven wall thickness deviations and wavy defects on the wooden surface, thereby improving the appearance accuracy and structural strength of the wooden toy.

[0017] As can be seen from the above, the present invention can effectively solve the problem of insufficient rigidity of physical processing equipment, which can easily cause vibration or tool deflection during intelligent processing, resulting in uneven wall thickness deviation between the actual processing size and the digital design model, and can easily cause wavy defects on the wooden surface, affecting the appearance accuracy and structural strength of toys.

[0018] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0020] Figure 1 This is a schematic diagram of the integrated system for digital design and intelligent processing of wooden toys, as described in an embodiment of the present invention. Detailed Implementation

[0021] To enable those skilled in the art to more fully understand the technical solutions of the present invention, exemplary embodiments of the present invention will be described more comprehensively and in detail below with reference to the accompanying drawings. Obviously, the one or more embodiments of the present invention described below are merely one or more specific ways to implement the technical solutions of the present invention, and are not exhaustive. It should be understood that other ways belonging to a general inventive concept can be used to implement the technical solutions of the present invention, and should not be limited to the embodiments described exemplary. Based on one or more embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0022] Reference Figure 1 Embodiments of the present invention provide an integrated system for digital design and intelligent processing of wooden toys, comprising: The design and processing planning module can build a geometric model of a wooden toy based on 3D modeling software and output its geometric shape and size parameters. Based on the geometric shape and size parameters, as well as the historical wear data and current rigidity parameters of the processing equipment, it can generate a processing path planning model and output several processing path instructions. The processing path screening module includes a path feasibility determination unit and a path detection unit. The path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and a feasibility determination algorithm, and input several processing path instructions into the path determination model in sequence to output several feasible paths that can obtain the preset quality. The path detection unit can extract the processing parameters of each feasible path, combine them with the current rigidity parameters, calculate the stable entropy value of the current feasible path, and select the current feasible path corresponding to the maximum stable entropy value as the actual operation path. The path implementation and adjustment module includes a path implementation control unit and a monitoring and adjustment unit. The path implementation control unit is used to drive and control the processing equipment according to the processing parameters of the actual operation path. The monitoring and adjustment unit can monitor the fluctuations of processing parameters in real time through the control terminal of the processing equipment and determine whether the parameter fluctuations are within the reasonable fluctuation range set according to the processing parameters. If so, then continue monitoring. If not, a parameter correction command will be triggered.

[0023] In one embodiment, the design and processing planning module includes a geometric model generation unit, which can construct a geometric model of a wooden toy based on CAD or CAM software and output geometric shape and size parameters.

[0024] It should be recognized that 3D modeling software can also be other software, and this invention is not limited to this. Any type of software that can achieve the same technical effect as this invention is within the protection scope of this invention.

[0025] In one embodiment, the design and processing planning module further includes a processing path planning unit. The processing path planning unit can acquire historical wear data of the processing equipment and, in combination with geometric and dimensional parameters, generate a processing path planning model through a processing path planning algorithm, so as to output several processing path strategies after inputting the current rigidity parameters into the processing path planning model.

[0026] In one specific embodiment, the historical wear data and current rigidity parameters of the processing equipment are obtained by calling historical data from the control terminal of the processing equipment.

[0027] In one specific embodiment, historical wear data includes tool wear values, clearance dimensions of transmission components, and rate of change in machining equipment accuracy.

[0028] In one specific embodiment, the processing path planning model is constructed based on Dijkstra's algorithm.

[0029] Specifically, the above embodiments of the present invention obtain historical wear data through a processing path planning unit and generate a planning model by combining geometric parameters, which can fully consider the impact of past equipment wear on processing and make the generated processing path more in line with the actual state of the equipment.

[0030] Furthermore, retrieving key parameters based on historical data from the control terminal improves the convenience and accuracy of data acquisition. The historical wear data clearly includes tool wear, transmission clearance, and accuracy change rate, providing comprehensive and detailed input for the planning model and enhancing its reliability. Using Dijkstra's algorithm to construct the planning model can efficiently generate several machining path strategies. Pre-simulation of these paths effectively reduces machining deviation rates, ensuring the precision machining of wooden toys.

[0031] In one embodiment, the design and processing planning module further includes a strategy optimization unit. The strategy optimization unit can extract material characteristic data of the wood to be processed according to the preset wood material type and input it into the processing path planning model to output and generate several processing path instructions.

[0032] Specifically, by extracting the characteristic data of the wood material to be processed through the preset wood material type and inputting it into the processing path planning model, a variety of processing path instructions can be generated. This can plan more suitable processing paths for different material characteristics and improve the accuracy of processing path implementation.

[0033] In addition, the material properties data of the wood to be processed include material hardness, grain direction, and heat distortion temperature. This data can be obtained from the material supplier, providing a basis for optimizing the processing path.

[0034] In one specific embodiment, the path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and an expert system algorithm, extract the processing parameters of each processing path instruction and input them into the path determination model, so as to output several feasible paths that can obtain the preset quality.

[0035] Specifically, the pre-set quality requirement database is constructed based on the specific dimensions, material characteristics, and customer requirements of wooden toys, and is used to achieve targeted and refined processing of wooden toys.

[0036] It is worth noting that the embodiments of the present invention utilize a preset quality requirement database and expert system algorithms to construct a path determination model, accurately extract processing parameter inputs, and select several feasible paths that can achieve the preset quality, effectively avoiding processing defects caused by unreasonable paths, ensuring stable processing quality of wooden toys, and improving appearance precision and structural strength.

[0037] In addition, the machining parameters include the cutting speed, feed rate, geometry, and dimensional parameters of the machining equipment included in each machining path instruction.

[0038] In one specific embodiment, the path detection unit uses a machine learning clustering algorithm to extract the processing parameters of each feasible path, and calculates the stable entropy value of the current feasible path based on the processing parameters and the current rigidity parameter, so as to select the current feasible path corresponding to the maximum stable entropy value as the actual path.

[0039] In one specific embodiment, the stable entropy value is calculated by processing the processing parameters and the current rigidity parameter using a composite function algorithm.

[0040] Specifically, embodiments of the present invention utilize machine learning clustering to accurately extract processing parameters, and then use a composite function algorithm to calculate a stable entropy value to select the actual operation path. This can effectively improve the adaptability of the processing path to the rigidity of the equipment and the material properties, reduce processing errors, and ensure the processing quality and structural strength of wooden toys.

[0041] In one specific embodiment, the path implementation control unit is used to decompose the processing parameters of the actual operation path into control commands based on the parsing algorithm, and convert the control commands into digital signals based on digital signal processing technology and output them to the control terminal of the processing equipment.

[0042] In one specific embodiment, the parsing algorithm is a pattern matching algorithm.

[0043] Specifically, the embodiments of the present invention use a pattern matching algorithm to accurately parse the actual operation path processing parameters into control commands, and then convert them into digital signal outputs through digital signal processing technology. This ensures that the processing equipment processes precisely according to the predetermined path, and can effectively improve the processing accuracy and quality stability of wooden toys.

[0044] In one specific embodiment, the monitoring and adjustment unit includes a sensing subunit, which includes a speed sensor, a displacement sensor, and an acceleration sensor. The speed sensor is installed on the tool spindle of the machining equipment to monitor the speed of the tool spindle in real time and feed it back to the control terminal. The displacement sensor is installed on the worktable of the machining equipment to monitor the displacement of the worktable in real time and feed it back to the control terminal. The acceleration sensor is installed on the machine base of the machining equipment to monitor the vibration frequency of the machine base in real time and feed it back to the control terminal.

[0045] In one specific embodiment, the monitoring and adjustment unit further includes a parameter fluctuation determination subunit. This subunit can set a reasonable fluctuation range for each parameter in the processing parameters based on the processing parameters of the actual operation path and the characteristic data of the wood material to be processed, combined with a control chart algorithm, and determine whether the parameter fluctuation is within the reasonable fluctuation range. If so, then continue monitoring. If not, a parameter correction command will be triggered.

[0046] In one specific embodiment, the monitoring and adjustment unit further includes a correction instruction execution subunit, which is used to collect deviation parameters according to the parameter correction instruction and transmit them to the control terminal of the processing equipment, so that the control terminal can correct the deviation parameters of the processing equipment according to the processing parameters.

[0047] Specifically, the above embodiments of the present invention achieve real-time and accurate monitoring and feedback to the control terminal by deploying speed sensors, displacement sensors, and acceleration sensors in key parts of the processing equipment. Furthermore, a parameter fluctuation judgment subunit, using a control chart algorithm and combining actual path processing parameters with wood material characteristic data, scientifically sets reasonable fluctuation ranges for each parameter and accurately judges the fluctuation situation. Additionally, a correction instruction execution subunit quickly collects deviation parameters when they are abnormal and transmits them to the control terminal for correction. This synergistic approach of the three subunits effectively solves the processing accuracy problem caused by parameter fluctuations during processing, ensuring the processing quality of wooden toys.

[0048] It is worth noting that the control chart algorithm, displacement sensor, etc. mentioned in the embodiments of the present invention are all prior art. Therefore, the specific working principle will not be elaborated in detail here.

[0049] This invention proposes an integrated system for digital design and intelligent processing of wooden toys. Through a design and processing planning module, it constructs a geometric model of the wooden toy using 3D modeling software and outputs its shape and size parameters. Simultaneously, it generates a processing path planning model by combining historical wear data and current rigidity parameters of the processing equipment, outputting multiple processing path instructions. This solves the problem of blind path planning caused by unknown equipment status in traditional processing. Furthermore, the path feasibility judgment unit in the processing path filtering module uses a preset quality requirement database and judgment algorithm to construct a path judgment model, filtering out feasible paths that meet preset quality requirements, thus avoiding processing defects caused by unreasonable paths. The path detection unit in the processing path filtering module extracts the processing parameters of feasible paths and calculates stable entropy values, selecting the path corresponding to the maximum stable entropy value as the actual operation path, optimizing path stability and reducing the impact of vibration or tool deflection on processing accuracy. Finally, the monitoring and adjustment unit in the path implementation and adjustment module monitors processing parameter fluctuations in real time and determines whether they exceed reasonable ranges. If they do, a correction command is triggered to dynamically compensate for insufficient equipment rigidity, ensuring that the actual processing dimensions are consistent with the digital design model, eliminating uneven wall thickness deviations and wavy defects on the wooden surface, thereby improving the appearance accuracy and structural strength of the wooden toy.

[0050] While one or more embodiments of the present invention have been described above, those skilled in the art will recognize that the present invention can be implemented in any other form without departing from its spirit and scope. Therefore, the embodiments described above are illustrative and not restrictive, and many modifications and substitutions will be apparent to those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. An integrated system for digital design and intelligent processing of wooden toys, characterized in that, include: The design and processing planning module can build a geometric model of a wooden toy based on 3D modeling software and output its geometric shape and size parameters. Based on the geometric shape and size parameters, as well as the historical wear data and current rigidity parameters of the processing equipment, it can generate a processing path planning model and output several processing path instructions. The processing path screening module includes a path feasibility determination unit and a path detection unit. The path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and a feasibility determination algorithm, and input several processing path instructions into the path determination model in sequence to output several feasible paths that can obtain the preset quality. The path detection unit can extract the processing parameters of each feasible path, combine them with the current rigidity parameters, calculate the stable entropy value of the current feasible path, and select the current feasible path corresponding to the maximum stable entropy value as the actual operation path. The path implementation and adjustment module includes a path implementation control unit and a monitoring and adjustment unit. The path implementation control unit is used to drive and control the processing equipment according to the processing parameters of the actual operation path. The monitoring and adjustment unit can monitor the fluctuations of processing parameters in real time through the control terminal of the processing equipment and determine whether the parameter fluctuations are within the reasonable fluctuation range set according to the processing parameters. If so, continue monitoring. If not, a parameter correction command will be triggered.

2. The integrated system for digital design and intelligent processing of wooden toys according to claim 1, characterized in that, The design and manufacturing planning module includes a geometric model generation unit, which can build geometric models of wooden toys based on CAD or CAM software and output geometric shapes and size parameters.

3. The integrated system for digital design and intelligent processing of wooden toys according to claim 2, characterized in that, The design and processing planning module also includes a processing path planning unit. The processing path planning unit can acquire historical wear data of the processing equipment and, in combination with geometric and dimensional parameters, generate a processing path planning model through a processing path planning algorithm. After inputting the current rigidity parameters into the processing path planning model, it can output several processing path strategies.

4. The integrated system for digital design and intelligent processing of wooden toys according to claim 3, characterized in that, The design and processing planning module also includes a strategy optimization unit. The strategy optimization unit can extract the material characteristic data of the wood to be processed according to the preset wood material type and input it into the processing path planning model to output and generate several processing path instructions.

5. The integrated system for digital design and intelligent processing of wooden toys according to claim 4, characterized in that, The path feasibility determination unit is used to construct a path determination model based on a preset quality requirement database and expert system algorithms, extract the processing parameters of each processing path instruction and input them into the path determination model, so as to output several feasible paths that can achieve the preset quality.

6. The integrated system for digital design and intelligent processing of wooden toys according to claim 5, characterized in that, The path detection unit uses a machine learning clustering algorithm to extract the processing parameters of each feasible path, and calculates the stable entropy value of the current feasible path based on the processing parameters and the current rigidity parameter. The current feasible path corresponding to the maximum stable entropy value is then selected as the practical path.

7. The integrated system for digital design and intelligent processing of wooden toys according to claim 6, characterized in that, The path implementation control unit is used to decompose the machining parameters of the actual operation path into control commands based on the analytical algorithm, and convert the control commands into digital signals based on digital signal processing technology and output them to the control terminal of the machining equipment.

8. The integrated system for digital design and intelligent processing of wooden toys according to claim 7, characterized in that, The monitoring and adjustment unit includes a sensing subunit, which includes a speed sensor, a displacement sensor, and an acceleration sensor. The speed sensor is installed on the tool spindle of the machining equipment to monitor the speed of the tool spindle in real time and feed it back to the control terminal. The displacement sensor is installed on the worktable of the machining equipment to monitor the displacement of the worktable in real time and feed it back to the control terminal. The acceleration sensor is installed on the machine base of the machining equipment to monitor the vibration frequency of the machine base in real time and feed it back to the control terminal.

9. The integrated system for digital design and intelligent processing of wooden toys according to claim 8, characterized in that, The monitoring and adjustment unit also includes a parameter fluctuation determination subunit. This subunit can set a reasonable fluctuation range for each parameter in the processing parameters based on the processing parameters of the actual operation path and the characteristic data of the wood material to be processed, combined with the control chart algorithm, and determine whether the parameter fluctuation is within the reasonable fluctuation range. If so, continue monitoring. If not, a parameter correction command will be triggered.

10. The integrated system for digital design and intelligent processing of wooden toys according to claim 9, characterized in that, The monitoring and adjustment unit also includes a correction instruction execution subunit, which is used to collect deviation parameters according to the parameter correction instructions and transmit them to the control terminal of the processing equipment, so that the control terminal can correct the deviation parameters of the processing equipment according to the processing parameters.

Images