Parameter-driven semi-automatic design framework construction method and system

Abstract

The invention relates to a parameter-driven semi-automatic design framework construction method, and aims to realize standardization and semi-automation of assembly unit design through parameter driving and improve design efficiency. The method comprises the following steps: extracting design parameters of a process station, a transfer device and the like; the parameters are divided into interaction parameters, variant parameters and other parameters; carrying out near-physical packaging on the cache station, the process station and the transfer device in the BY-Twin; a near-physical assembly unit is constructed, and topological layout, physical engine processing, control logic writing and communication interface packaging are completed; defining station configuration layout, updating a transfer device and the like to realize interaction parameter updating; a near-physical assembly unit is used as a core, a parameter driving framework of'design parameter-operation-near-physical unit-physical unit 'is constructed in combination with parameters and operation, linkage adaptation of design requirements and physical entities is achieved, and modularization and semi-automation of assembly unit design are promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of assembly unit design, and in particular relates to a method and system for constructing a parameter-driven semi-automatic design framework. Background Art

[0002] In the design of process-type assembly units, the process flow is fixed but the design requirements vary. Different design schemes have customized requirements in terms of structure and control, such as three-dimensional dimensions, product dimensions, and production capacity.

[0003] However, existing design processes often overlook common design features, leading to repetitive design work and interdepartmental coordination. Under the current design model, changes to assembly unit layouts and product dimensions require manual positioning, calculation, and verification of mechanical structure and control program adjustments. Similar design solutions also require extensive repetitive coordination between different design departments, as changes to mechanical structure or layout often require re-alignment with control programs. These issues severely impact design efficiency.

[0004] Therefore, the present invention provides a method for constructing a parameter-driven semi-automatic design framework to solve the above technical problems. Summary of the Invention

[0005] In response to the above problems, the purpose of the present invention is to provide a method for constructing a parameter-driven semi-automatic design framework, which achieves the linkage adaptation between design requirements and physical entities by classifying and managing the design parameters and parameterizing them, thereby improving the efficiency and accuracy of assembly unit design and reducing design costs and cycles.

[0006] The present invention provides a method for constructing a parameter-driven semi-automatic design framework, comprising: S1, a parameter extraction step: extracting design parameters of a process station, a buffer station, an assembly unit, and a transfer device respectively; wherein the design parameters of the process station include a product input positioning point, a product output positioning point, a part input positioning point, a first variable structural parameter, and a first variable control parameter; the design parameters of the buffer station include a part output positioning point; the design parameters of the assembly unit include a logistics path and a unit production capacity; the design parameters of the transfer device include a working range, a material picking posture, a material unloading posture, a second variable structural parameter, and a second variable control parameter;

[0007] S2, parameter classification step: the extracted design parameters are divided into three types: interactive parameters, variant parameters and other parameters; the interactive parameters are parameters whose values are updated by specific operations in the domestic digital factory software BY-Twin, specifically including the product input positioning point, the product output positioning point, the part input positioning point, the part output positioning point, the second variable structural parameter, the second variable control parameter and the unit production capacity; the variant parameters are parameters that can bring about adaptive changes in the mechanical structure and control program parameters of the near-physical transfer device and process station after value update, specifically including the first variable structural parameter, the first variable control parameter, the second variable structural parameter and the second variable control parameter; the other parameters are parameters that do not belong to the interactive parameters and the variant parameters, specifically including the logistics path, the working range, the material picking posture and the material unloading posture; wherein, the second variable structural parameter and the second variable control parameter have the dual attributes of the interactive parameters and the variant parameters;

[0008] S3, a near-physical packaging step of the substructure: in the domestic digital factory software BY-Twin, the cache station, the process station and the transfer device are packaged, specifically including:

[0009] Model processing: The historical three-dimensional model of the assembly unit with fixed process is imported into the domestic digital factory software BY-Twin, and is split into three types of sub-structure models based on functional attributes: the cache station, the process station, and the transfer device; the split models are screened to eliminate redundant models with exactly the same structure, and for models with similar structures but different parameters, geometric parameters and installation parameters are extracted for parametric configuration to form a reusable sub-structure model library; a mapping relationship is established between each sub-structure model in the model library and the design parameters extracted in step S1;

[0010] Extract and define actuators: According to the actual operation process of each substructure model in the substructure model library, analyze it layer by layer according to the three-level logical hierarchy of "power source → transmission structure → actuator": Power source analysis: Identify the components that provide power in the substructure model, determine the power type of the components and the key parameters that characterize the power output characteristics; Transmission structure analysis: Analyze the transmission mechanism that transmits the power of the power source to the actuator, and clarify the transmission mode, transmission ratio and motion conversion relationship of the transmission mechanism; Actuator extraction and definition: Extract the key actuators that directly participate in the operation and determine the realization of the substructure function from the three-dimensional model of each substructure model; Standardize the definition of the extracted key actuators according to the action type, action reference axis, action form and basic action parameters to ensure that the virtual model of the actuator is consistent with the actual equipment action characteristics;

[0011] Encapsulating electrical interfaces and action scripts: Based on the extracted and defined key actuators and their standardized action parameters, and in accordance with the electrical control tables used in actual production, the electrical interfaces of each substructure's 3D model are accurately encapsulated on a 1:1 basis. Once encapsulated, each electrical interface is bound to the corresponding key actuator, and a corresponding action script is written. This action script assigns specific numerical or logical values to the electrical interface, triggering the actuator to perform the corresponding action.

[0012] Package variant parameters and parameter change response procedure: classify the first variable structural parameter and the second variable structural parameter as mechanical variant parameters, and classify the first variable control parameter and the second variable control parameter as control variant parameters; for the process station and the transfer device, combine the design parameters extracted in step S1 with the parameter classification results in step S2 to identify the change points of the mechanical structure and electrical interface values caused by product changes; parameterize the change points, and ensure the functional adaptability and control accuracy of the virtual model during product changes through parameter driving, thereby completing the near-physical packaging and parameterized function construction of the process station and the transfer device;

[0013] S4, steps to construct a near-physical transfer unit:

[0014] Topological layout: Based on the process stations, cache stations, and transfer devices that have completed near-physical packaging in step S3, topological layout is performed in the domestic digital factory software BY-Twin; according to the pre-set assembly unit design requirements, the spatial position relationship and constraint relationship between each substructure model are adjusted; through the visualization function of the software, the three-dimensional layout of the assembly unit is rendered and displayed, and a visualization model including the substructure models, electrical interface connection relationships, and parameter configuration status is generated to achieve visual presentation of the assembly unit;

[0015] Using a physics engine: The Bullet physics engine is used to process the three-dimensional model of the assembly unit that has been topologically laid out and visualized, simulating the mechanical properties, motion laws, and collision effects in a real physical environment. This allows the physical performance of the three-dimensional model of the assembly unit to be close to the actual situation, thus achieving near-physical representation of the assembly unit.

[0016] Control logic programming: Utilize the control logic graphical programming function provided by the domestic digital factory software BY-Twin to call the electrical interfaces of each substructure encapsulated in step S3; through the graphical programming interface, combine the electrical interfaces with the control logic modules by dragging and connecting them, and quickly write the simulation control program for the assembly unit; run the simulation control program to verify the rationality of the static layout and the correctness of the dynamic operation logic of the assembly unit, and drive the three-dimensional model of the assembly unit to execute actions according to the preset logic, realizing the transformation from static layout to dynamic operation;

[0017] Encapsulating the communication interface: After completing the control logic programming and preliminary verification of the static layout and dynamic operation logic of the assembly unit, the communication protocol of the electrical interface of the assembly unit is encapsulated to ensure that the communication protocol of the encapsulated electrical interface is consistent with that of the physical device, achieving a high degree of functional restoration; based on the encapsulated communication interface, a "real-control virtual" debugging mode is established, and the assembly unit is debugged using the actual control program to achieve the adjustability of the assembly unit;

[0018] S5, operation classification and definition step: taking the near-physical assembly unit constructed in S4 as the target object, the values of the interaction parameters are updated through the following specific operations in the domestic digital factory software BY-Twin:

[0019] Station configuration layout: Based on the process flow, select the appropriate process stations and cache stations from the substructure model library of the S3 that has completed near-physical packaging, determine their quantity, and layout them through the "drag and drop" interactive method in the domestic digital factory software BY-Twin;

[0020] Transfer device update: if the original transfer device cannot meet the transfer requirements under the new layout of the process stations and the buffer stations after adjustment, then a suitable object will be matched and replaced in the packaged transfer device according to the new transfer requirements;

[0021] Transfer device positioning: Under the new workstation layout, after the mechanical parameterization modification of the original or new transfer device is completed, positioning operations are performed, including positioning of the entire transfer device and repositioning of the axis zero point;

[0022] Process simulation: After completing resource configuration, static layout, and dynamic logic construction under established requirements, the process action simulation is carried out using the process simulation module of the domestic digital factory software BY-Twin to verify the rationality of the static layout and dynamic logic and detect interference between motion mechanisms;

[0023] S6, constructing a parameter-driven semi-automatic design framework: based on the near-physical assembly unit constructed in S4, utilizing the design parameters extracted in S1, the interaction parameters and the variant parameters classified in S2, and the workstation configuration layout, transfer device update, transfer device positioning and process simulation operations defined in S5, construct a parameter-driven framework of "design parameters-operation-near-physical unit-physical unit". The framework takes the near-physical assembly unit as the core and realizes the linkage adaptation of design requirements and physical entities through parameter driving.

[0024] Preferably, in S3, the change point is parameterized, specifically including: S31, mechanical deformation parameter processing: establishing an association between mechanical deformation parameters and three-dimensional model features, and driving the adaptive change of the morphology of the three-dimensional model by modifying the parameter values; S32, control deformation parameter processing: writing a parameter change response program, and when the control deformation parameters are updated, automatically adjusting the value of the corresponding electrical interface to ensure that the control logic is synchronized with the mechanical structure change.

[0025] Preferably, the specific execution steps of constructing the parameter-driven framework of "design parameter-operation-near-physical unit-physical unit" in step S6 are as follows:

[0026] Determining change points: comparing the new design requirements with the packaged near-physical assembly units to determine change points for design based on the near-physical assembly units;

[0027] Determine the type and quantity of workstations: determine the type and quantity of the process workstations and the buffer workstations according to the process flow;

[0028] Establishing an association between product size and the process station: establishing an association between product size information and the first variable structural parameter and the first variable control parameter. When the product size changes, triggering the coordinated adaptive update of the mechanical structure and control program parameters of the process station, thereby achieving coordinated adaptation between the product size change and the function of the process station;

[0029] Executing the station configuration layout operation: executing the station configuration layout operation defined in S5 for the selected process station and the buffer station, and determining the layout through "drag and drop" interaction; after the layout is completed, automatically updating the positioning point parameters of the assembly unit, and recalculating and generating the logistics path parameters of the assembly unit based on the positioning point parameters;

[0030] Determine the functional adaptability of the transfer device: compare the updated logistics path parameters with the working range, material collection posture, and material discharge posture of the original transfer device. The specific comparison rules are as follows:

[0031] Working range coverage: the starting / end coordinates of the logistics path fall within the working range of the original transfer device;

[0032] Movement pattern matching: the movement pattern of the logistics path is consistent with the movement pattern of the transfer device;

[0033] Posture adaptability: the material taking posture of the transfer device matches the posture of the material at the starting point of the logistics path, and the material unloading posture of the transfer device is consistent with the posture of the material at the end point of the logistics path;

[0034] If the original transfer device satisfies the above three rules at the same time, the transfer device update operation is skipped and the transfer device positioning operation is directly entered; if any one of the rules is not satisfied, the transfer device update operation is executed: it is used to select a new transfer device that matches the working range, the motion form and the picking / putting posture from the transfer device model library encapsulated in the S3 step according to the working range coverage rule, the motion form matching rule and the posture adaptation rule, and replace the original transfer device;

[0035] Establishing an association between product size and transfer device mechanical variation parameters: For the new transfer device, establishing an association between product size information and the second variable structural parameter. When the product size changes, the transfer device mechanical structure is linked to change to ensure that the working range covers the updated logistics path.

[0036] Execute the transfer device positioning operation: execute the transfer device positioning operation defined in S5 on the original transfer device or the newly replaced transfer device, adjust the spatial position of the original transfer device or the newly replaced transfer device, and reposition the zero point of the motion axis to ensure that the coordinates of the transfer device are consistent with the assembly unit positioning point parameters;

[0037] Establishing a linkage relationship between the transfer device control parameters: establishing an association relationship between the axis zero point information of the transfer device and the second variable control parameter to achieve automatic synchronous update of the transfer device control parameters;

[0038] Perform process simulation and capacity verification: Based on the process simulation operation defined in S5 and the near-physical assembly unit constructed in S4, simulate the process actions under the new layout to verify the rationality of the static layout, the correctness of the dynamic logic, and the interference detection of the motion mechanism; at the same time, calculate the theoretical capacity based on the unit capacity parameters to verify whether it meets the design requirements;

[0039] Perform virtual debugging of the control program: Use the near-physical assembly unit as a real-world replacement, connect the standard electrical interface of the S4 package to the PLC or motion control card, and import the actual control program to perform "real-to-virtual" debugging. By sending control instructions, verify whether the response of the near-physical unit is consistent with the real device, ensuring the correctness and compatibility of the control program.

[0040] Preferably, the electrical interface communication protocols encapsulated in the S4 include the S7 protocol for communicating with a programmable logic controller, the Modbus protocol for communicating with industrial automation equipment, and the TCP / IP protocol.

[0041] Preferably, establishing an association relationship between the product size information and the first variable structural parameter and the first variable control parameter, establishing an association relationship between the product size information and the second variable structural parameter, and establishing an association relationship between the axis zero point information of the transfer device and the second variable control parameter are all expressed through linear functions.

[0042] The present invention also provides a parameter-driven semi-automatic design framework construction system, including: a parameter extraction module: used to extract the design parameters of process stations, cache stations, assembly units and transfer devices; a parameter classification module: used to classify the extracted parameters according to interaction parameters, variant parameters and other parameters; a substructure encapsulation module: used to perform near-physical encapsulation of assembly unit substructures based on the domestic digital factory software BY-Twin; an assembly unit construction module: used to construct near-physical assembly units to achieve visualization, near-physical, dynamic and adjustable properties; an operation definition module: used to define four operations: station configuration layout, transfer device update, transfer device positioning, and process simulation; a design framework construction module: used to construct a parameter-driven semi-automatic design framework to achieve linkage updates when the design is changed.

[0043] Compared with related technologies, the method and system for constructing a parameter-driven semi-automatic design framework provided by the present invention have the following beneficial effects: 1. Knowledge systematization and parameter precision: through parameter extraction steps and parameter classification steps, the design knowledge of process-type assembly units of established processes is systematically summarized, the design parameters of assembly units and their substructures are accurately extracted, and scientifically classified into interaction parameters, variation parameters and other parameters. This makes parameter management in the design process clearer and more standardized, integrates the originally scattered design knowledge into structured data, facilitates the call and optimization in the subsequent design process, and lays a solid foundation for achieving efficient design; 2. Improve design efficiency and quality: In the near-physical packaging step of the substructure and the step of building a near-physical assembly unit, the assembly unit and its substructure are near-physically packaged to construct a variable, visual, movable, and adjustable virtual assembly unit; on the one hand, a reusable substructure model library is formed through model processing, which reduces repetitive design work, avoids redundant labor, and significantly shortens the design cycle; on the other hand, the physical engine is used to simulate the real physical environment, combined with graphical programming to write control logic, so that the virtual assembly unit can highly simulate the actual operating state, and the layout rationality and operating logic correctness of the assembly unit can be verified in the design stage, potential problems can be discovered and solved in advance, the design quality and reliability can be improved, and the debugging cost and time in actual production can be reduced; 3. Promote design standardization and modularization: In the substructure packaging process, the key actuators are standardized and defined, the electrical interfaces are accurately packaged, and unified standards and specifications are established. This standardized design not only enhances the compatibility and interchangeability between different modules, facilitating flexible combination and expansion of designs, but also facilitates team collaboration and knowledge transfer, reduces the learning costs of designers, promotes the improvement of the design level of the entire industry, and promotes the development of digital factory design towards standardization and modularization. 4. Realize semi-automated design: Build a parameter-driven framework of "design parameters-operation-near-physical unit-physical unit", with the near-physical assembly unit as the core, drive the operation through changes in design parameters, and thus achieve the linkage adaptation of design requirements and physical entities. When faced with design changes, the system can automatically adjust the mechanical structure and control program of the assembly unit according to parameter changes, reduce manual intervention, and promote the design process towards semi-automation, greatly improving design efficiency, enhancing the company's ability to respond to market changes, and enhancing the company's competitiveness in the manufacturing field. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic flow chart of a method for constructing a parameter-driven semi-automatic design framework according to the present invention;

[0045] Figure 2 Schematic diagram of the process of parameterizing the change point in the present invention;

[0046] Figure 3A schematic diagram of the process flow for constructing a near-physical unit in the present invention;

[0047] Figure 4 A schematic diagram of the process of constructing the parameter-driven framework in the present invention;

[0048] Figure 5 This is a structural diagram of a system for constructing a parameter-driven semi-automatic design framework according to the present invention. DETAILED DESCRIPTION

[0049] The present invention provides a method for constructing a parameter-driven semi-automatic design framework, aiming to solve the problems of chaotic parameter management in the design of traditional process-based assembly units, difficulty in quickly and accurately calling required parameters, low design efficiency, and the inability to adaptively adjust the mechanical structure and control program of the assembly unit due to the lack of an effective linkage mechanism between the design parameters and the physical entity when design requirements change. A large amount of re-design work is often required, resulting in a long design cycle, high cost, and easy occurrence of design errors.

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0051] Please see the attached Figure 1-4 As shown, the present invention provides a method for constructing a parameter-driven semi-automatic design framework, comprising:

[0052] S1, parameter extraction step: extract the design parameters of the process station, cache station, assembly unit and transfer device respectively; wherein the design parameters of the process station include the product input positioning point V c-in , Product output positioning point V c-out , Part input positioning point V p-in , the first variable structure parameter SP G and the first variable control parameter CP G The design parameters of the cache station include the part output positioning point V p-out ; The design parameters of the assembly unit include: logistics path R V and unit capacity Capicity; the design parameters of the transfer device include the working range W Dim , Material taking posture C G , blanking posture C P , the second variable structure parameter SP Z and the second variable control parameter CP Z .

[0053] It should be noted that the product input positioning point V c-in : Refers to the relative position and posture of the product when it enters the process station, expressed as V c-in ={P <vector3f> ，0 <quaternion>}; Product output positioning point V c-out : Refers to the relative position and posture of the product when it leaves the process station, expressed as V c-out ={P <vector3f> ，O <quaterniom>}; Part input positioning point V p-in : Refers to the relative position and posture of the parts to be assembled when they enter the process station, expressed as V p-in ={P <vector3f> ，O <quaternion>}; First variable structure parameter SP G : Refers to the mechanical structure parameters that need to be adaptively adjusted in the process station as the size of the workpiece changes, such as jigs and fixtures; the first variable control parameter CP G : Refers to the control program parameters that need to be adaptively adjusted in the process station as the size of the workpiece changes, such as the position parameters of the execution axis and the spatial position parameters of the robot arm; the part output positioning point V p-out : Refers to the relative position and posture of the parts to be assembled when they leave the cache station, expressed as V p-out ={P <vector3f> ，0 <quaternion>Logistics path R V : Represents the relationship between two positioning points, from the output positioning point (product output positioning point / parts output positioning point) to the input point (product input positioning point / parts input positioning point). The relationship between the two positioning points defines the transfer form and transfer range. Each logistics path parameter corresponds to a transfer device, expressed as R V ={V c-out / V p-out , V c-in / V p-in , S <int> ，W <vector3f>Unit Capacity: refers to the capacity of the unit without failure, expressed as Capicity <int>; Working range W Dim : Refers to the working range of the transfer device, expressed as W Dim ={S <int> ，W <vector3f>}; Material picking posture C G : Refers to the fixture posture supported by the transfer device when taking materials, expressed as C G <quaternion>; Blanking posture C P : The fixture posture supported by the transfer device when unloading, represented by C P <quaternion>; The second variable structural parameter SP Z : refers to the design parameters of the variable structure in the transfer device, such as the length and height of the truss; the second variable control parameter CP Z : Refers to the configuration parameters of the modular program in the transfer device, such as the material picking position of the gantry; where P <vector3f>Indicates position, the data structure is Vector3f; O<Quaternion> indicates posture, the data structure is Quaternion, S <int>Indicates the logistics form, W <vector3f>It indicates the three-axis difference between the starting point and the end point of logistics. The parameter followed by <> indicates the data structure of the parameter. The parameter without <> indicates that the data structure depends on the specific situation and can usually be expressed using basic data structures.

[0054] S2, parameter classification step: the extracted design parameters are divided into three types: interactive parameters, variant parameters and other parameters; the interactive parameters are parameters whose values are updated by specific operations in the domestic digital factory software BY-Twin, specifically including the product input positioning point V c-in , the product output positioning point V c-out , the part input positioning point V p-in , the part output positioning point V p-out , the second variable structural parameter SP Z , the second variable control parameter SP Z and the unit capacity Capicity; the variant parameters are parameters that can bring about adaptive changes in the mechanical structure and control program parameters of the near-physical transfer device and process station after the value is updated, specifically including the first variable structure parameter SP G , the first variable control parameter CP G , the second variable structural parameter SP Z and the second variable control parameter CP Z The other parameters are parameters that do not belong to the interaction parameters and the variant parameters, specifically including the logistics path R V , the working range W Dim , the material taking posture C G And the blanking posture C P ; Wherein, the second variable structural parameter SP Z and the second variable control parameter CP Z It has the dual attributes of the interaction parameter and the variation parameter, and its value update is completed by a specific operation, which brings about the adaptability update of the near-physical transfer device after the value update;

[0055] S3, the near-physical packaging step of the substructure: in the domestic digital factory software BY-Twin, the cache station, the process station and the transfer device are packaged, specifically including: model processing: the historical three-dimensional model of the assembly unit with fixed process is imported into the domestic digital factory software BY-Twin, and split into three types of substructure models: the cache station, the process station and the transfer device based on functional attributes; the split models are screened to eliminate redundant models with exactly the same structure, and for models with similar structures but different parameters, geometric parameters and installation parameters are extracted for parametric configuration to form a reusable substructure model library; Establish a mapping relationship between each substructure model in the model library and the design parameters extracted in step S1; Extract and define the actuators: According to the actual operation process of each substructure model in the substructure model library, analyze it layer by layer according to the three-level logical hierarchy of "power source → transmission structure → actuator": Power source analysis: Identify the components that provide power in the substructure model (such as motors, cylinders, etc.), determine the power type of the components and the key parameters that characterize the power output characteristics, such as the power and speed of the motor, the thrust and stroke of the cylinder, etc.; Transmission structure analysis: Analyze the transmission mechanism that transmits the power of the power source to the actuator (such as gear transmission, screw transmission, chain transmission, etc. ), clarify the transmission mode, transmission ratio and motion conversion relationship of the transmission mechanism; for example, gear transmission needs to determine the gear ratio, and screw transmission needs to determine the pitch, and these parameters are used to accurately grasp the process and effect of power transmission; Actuator extraction and definition: extract the key actuators that directly participate in the operation and determine the realization of the substructure function from the three-dimensional model of each substructure model; standardize the definition of the extracted key actuators according to the action type, action reference axis, action form and basic action parameters to ensure that the virtual model of the actuator is consistent with the actual equipment action characteristics; encapsulate electrical interfaces and action scripts: based on the extracted and defined key actuators and their standardization Action parameters, and based on the electrical control table used in actual production, the electrical interface of the three-dimensional model of each substructure is accurately encapsulated at a 1:1 ratio; after the encapsulation is completed, each electrical interface is bound to the corresponding key actuator, and the corresponding action script is written; through the action script, the electrical interface is assigned a specific numerical value or logical value, which can trigger the actuator to perform the corresponding action; for example, if the electrical interface bound to a telescopic mechanism is assigned a value of True, the extension action is performed, and if it is assigned a value of False, the retraction action is performed; if the electrical interface bound to a certain axis translation mechanism is assigned a value of 0.1, the mechanism will move to the position with the axis coordinate of 0.1. Encapsulation variant parameters and parameter change response procedures: The first variable structure parameter SP G and the second variable structure SP Z The parameters are classified as mechanical deformation parameters, and the first variable control parameter CP G and the second variable control parameter CP Z Classify as control variant parameters; for the process station and the transfer device, combine the design parameters extracted in step S1 with the parameter classification results in step S2 to identify the change points of the mechanical structure and electrical interface values caused by the product change; parameterize the change points, and ensure the functional adaptability and control accuracy of the virtual model during product changes through parameter driving, thereby completing the near-physical packaging and parameterized function construction of the process station and the transfer device;

[0056] In this embodiment, the change points are parameterized, specifically including: S31, mechanical deformation parameter processing: establishing an association between mechanical deformation parameters and three-dimensional model features, and driving the adaptive change of the morphology of the three-dimensional model by modifying the parameter values; S32, control deformation parameter processing: writing a parameter change response program, and when the control deformation parameters are updated, automatically adjusting the value of the corresponding electrical interface to ensure that the control logic is synchronized with the mechanical structure change.

[0057] S4, the step of constructing a near-physical transfer unit: topological layout: based on the process station, the cache station and the transfer device that have completed the near-physical packaging in the S3 step, topological layout is performed in the domestic digital factory software BY-Twin; according to the pre-set assembly unit design requirements, the spatial position relationship and constraint relationship between each sub-structure model are adjusted; through the visualization function of the software, the three-dimensional layout of the assembly unit is rendered and displayed, and a visualization model including sub-structure models, electrical interface connection relationships and parameter configuration status is generated to achieve visualization of the assembly unit; using the physical engine: the Bullet physical engine is used to process the three-dimensional model of the assembly unit that has completed the topological layout and visualization, simulate the mechanical properties, motion laws and collision effects in the real physical environment, so that the physical performance of the three-dimensional model of the assembly unit is close to the actual situation, and the near-physicalization of the assembly unit is achieved; control logic writing: using the domestic digital factory software BY-Twi n provides a graphical programming function for control logic, calling the electrical interfaces of each substructure encapsulated in the S3 step; through the graphical programming interface, the electrical interface and the control logic module are combined by dragging and connecting lines to quickly write the simulation control program of the assembly unit; the simulation control program is run to verify the rationality of the static layout and the correctness of the dynamic operation logic of the assembly unit, and the three-dimensional model of the assembly unit is driven to execute actions according to the preset logic to achieve the transformation from static layout to dynamic operation; encapsulate the communication interface: after completing the control logic writing and preliminary verification of the static layout and dynamic operation logic of the assembly unit, the electrical interface of the assembly unit is encapsulated with the communication protocol, so that the communication protocol of the encapsulated electrical interface is consistent with that of the physical device, achieving a high degree of functional restoration; based on the encapsulated communication interface, a "real-control-virtual" debugging mode is established, and the assembly unit is debugged using the actual control program to achieve the adjustability of the assembly unit;

[0058] In this embodiment, the encapsulated electrical interface communication protocols include the S7 protocol for communicating with PLC, the Modbus protocol for communicating with Mitsubishi equipment, and the TCP / IP protocol.

[0059] S5, operation classification and definition steps: Taking the near-physical assembly unit constructed in S4 as the target object, the values of the interaction parameters are updated through the following specific operations in the domestic digital factory software BY-Twin: Station configuration layout: According to the process flow, select the appropriate process stations and cache stations from the substructure model library that has completed the near-physical packaging in S3, specify their quantity, and layout them through the "drag and drop" interactive method in the domestic digital factory software BY-Twin; Transfer device update: If the original transfer device cannot meet the new layout of the process stations and cache stations after adjustment If there is a new transfer requirement, the appropriate object is matched and replaced in the packaged transfer device according to the new transfer requirement; Transfer device positioning: Under the new workstation layout, the original transfer device or the new transfer device is mechanically parameterized and modified, and then the positioning operation is performed, including the positioning of the entire transfer device and the repositioning of the axis zero point; Process simulation: After completing the resource allocation, static layout and dynamic logic construction under the established requirements, the process action simulation is carried out using the process simulation module of the domestic digital factory software BY-Twin to verify the rationality of the static layout and the dynamic logic, and detect the interference between the motion mechanisms.

[0060] S6, constructing a parameter-driven semi-automatic design framework: Based on the near-physical assembly unit constructed in S4, utilizing the design parameters extracted in S1, the interaction parameters and the variation parameters classified in S2, and the workstation configuration layout, transfer device update, transfer device positioning, and process simulation operations defined in S5, construct a parameter-driven framework of "design parameters-operation-near-physical unit-physical unit". The framework takes the near-physical assembly unit as the core and realizes the linkage adaptation between design requirements and physical entities through parameter driving.

[0061] Furthermore, the specific execution steps for constructing the parameter-driven framework of "design parameters-operation-near-physical unit-physical unit" are as follows:

[0062] Determining change points: comparing the new design requirements with the packaged near-physical assembly units to determine change points for design based on the near-physical assembly units;

[0063] Determine the type and quantity of workstations: determine the type and quantity of the process workstations and the buffer workstations according to the process flow;

[0064] Establish the association between product size and the process station: establish product size information and the first variable structure parameter SP G and the first variable control parameter CP G When the product size changes, the mechanical structure of the process station and the control program parameters are triggered to be adaptively updated, so as to achieve the coordinated adaptation of the product size change and the function of the process station;

[0065] Execute the station configuration layout operation: execute the station configuration layout operation defined in S5 for the selected process station and the cache station, and determine the layout through "drag and drop" interaction; after the layout is completed, automatically update the positioning point parameters of the assembly unit, and recalculate the logistics path parameters R of the assembly unit based on the positioning point parameters V ;

[0066] Determine the functional adaptability of the transfer device: update the logistics path parameter R V The working range W of the original transfer device Dim , the material taking posture C G And the blanking posture C P For comparison, the specific comparison rules are: [R V .S=W Dim .S]、[R V .V c-out / V p-out .O∈C G ]&&[R V .V c-in / V p-in .O∈C P ].

[0067] The rules expressed in the above formula include: working range W Dim Coverage: The starting / end coordinates of the logistics path fall within the working range of the original transfer device; Movement form matching: The logistics path R V The movement form is consistent with the movement form of the transfer device; posture adaptability: the material taking posture C of the transfer device G With the logistics path R V The material posture of the starting point matches the material posture of the transfer device, and the material unloading posture C P With the logistics path R V The terminal material posture is consistent; if the original transfer device meets the above three rules at the same time, the transfer device update operation is skipped and the transfer device positioning operation is directly entered; if any one of the rules is not met, the transfer device update operation is executed: it is used to select a new transfer device that matches the working range, the movement form and the picking / putting posture from the model library of the transfer device encapsulated in the S3 step according to the working range coverage rule, the movement form matching rule and the posture adaptation rule, and replace the original transfer device.

[0068] Establish the association between product size and transfer device mechanical variation parameters: for the new transfer device, establish product size information and the second variable structural parameter SP Z When the product size changes, the mechanical structure of the transfer device is changed in a linked manner to ensure that the working range covers the updated logistics path.

[0069] In this embodiment, the product size information and the second variable structural parameter SP Z The expression of the association relationship is: R V .W+offset <vector3f>=W Dim .W; Taking the gantry type transfer device as an example, when the second variable structural parameter SP Z When it is the truss length or height, by adjusting the product size, according to the above linear relationship, the mechanical structure parameters such as the gantry truss length and height can be changed in a linked manner to ensure that the working range of the transfer device covers the updated logistics path; and, similar to the process station, the correlation between the product size information and other mechanical structure parameters of the transfer device is also expressed in the form of a linear function.

[0070] Execute the transfer device positioning operation: execute the transfer device positioning operation defined in S5 on the original transfer device or the newly replaced transfer device, adjust the spatial position of the original transfer device or the newly replaced transfer device, and reposition the zero point of the motion axis to ensure that the coordinates of the transfer device are consistent with the assembly unit positioning point parameters;

[0071] Constructing the linkage relationship between the transfer device control parameters: establishing the axis zero point information of the transfer device and the second variable control parameter CP Z to achieve automatic synchronous update of the control parameters of the transfer device;

[0072] In this embodiment, the axis zero point information of the transfer device and the second variable control parameter CP Z The expression of the association relationship is: |R V ·W|-A0 <vector3f>=A f 、-A0 <vector3f>=A s If the transfer device is a three-axis gantry transfer device, then R V .W represents the difference between the three axes of the logistics path, A0 represents the axis zero point, A s Indicates the coordinate of the material taking axis, A f Indicates the coordinates of the blanking axis.

[0073] Perform process simulation and capacity verification: Based on the process simulation operation defined in S5 and the near-physical assembly unit constructed in S4, simulate the process actions under the new layout to verify the rationality of the static layout, the correctness of the dynamic logic, and the interference detection of the motion mechanism; at the same time, calculate the theoretical capacity based on the unit capacity parameters to verify whether it meets the design requirements;

[0074] Virtual debugging of the control program: Using a near-physical assembly unit as a physical substitute, connect the standard electrical interface of the S4 package to a PLC or motion control card, and import the actual control program for virtual debugging. By sending control commands, verify whether the response of the near-physical unit is consistent with the physical device, ensuring the correctness and compatibility of the control program.

[0075] Please see the attached Figure 5 As shown, the present invention also provides a parameter-driven semi-automatic design framework construction system 100, including: a parameter extraction module 10: used to extract the design parameters of process stations, cache stations, assembly units and transfer devices; a parameter classification module 20: used to classify the extracted parameters according to interaction parameters, variant parameters and other parameters; a substructure encapsulation module 30: used to perform near-physical encapsulation of assembly unit substructures based on the domestic digital factory software BY-Twin; an assembly unit construction module 40: used to construct a near-physical assembly unit to achieve visualization, near-physics, dynamics and adjustability; an operation definition module 50: used to define four operations: station configuration layout, transfer device update, transfer device positioning, and process simulation; a design framework construction module 60: used to construct a parameter-driven semi-automatic design framework to achieve linkage updates when the design changes.

[0076] Compared with related technologies, the method and system for constructing a parameter-driven semi-automatic design framework provided by the present invention have the following beneficial effects: 1. Knowledge systematization and parameter precision: through parameter extraction steps and parameter classification steps, the design knowledge of process-type assembly units of established processes is systematically summarized, the design parameters of assembly units and their substructures are accurately extracted, and scientifically classified into interaction parameters, variation parameters and other parameters. This makes parameter management in the design process clearer and more standardized, integrates the originally scattered design knowledge into structured data, facilitates the call and optimization in the subsequent design process, and lays a solid foundation for achieving efficient design; 2. Improve design efficiency and quality: In the near-physical packaging step of the substructure and the step of building a near-physical assembly unit, the assembly unit and its substructure are near-physically packaged to construct a variable, visual, movable, and adjustable virtual assembly unit; on the one hand, a reusable substructure model library is formed through model processing, which reduces repetitive design work, avoids redundant labor, and significantly shortens the design cycle; on the other hand, the physical engine is used to simulate the real physical environment, combined with graphical programming to write control logic, so that the virtual assembly unit can highly simulate the actual operating state, and the layout rationality and operating logic correctness of the assembly unit can be verified in the design stage, potential problems can be discovered and solved in advance, the design quality and reliability can be improved, and the debugging cost and time in actual production can be reduced; 3. Promote design standardization and modularization: In the substructure packaging process, the key actuators are standardized and defined, the electrical interfaces are accurately packaged, and unified standards and specifications are established. This standardized design not only enhances compatibility and interchangeability between modules, facilitating flexible design combination and expansion, but also facilitates team collaboration and knowledge transfer, reduces learning costs for designers, promotes improved design standards across the industry, and drives the development of digital factory design towards standardization and modularization. 4. Achieve semi-automated design: Build a parameter-driven framework of "design parameters-operation-near-physical units-physical units," with near-physical assembly units at the core. Changes in design parameters drive operations, thereby achieving coordinated adaptation between design requirements and physical entities. When faced with design changes, the system can automatically adjust the mechanical structure and control procedures of the assembly unit based on parameter changes, reducing manual intervention and driving the design process towards semi-automation. This significantly improves design efficiency, enhances the company's responsiveness to market changes, and enhances its competitiveness in the manufacturing sector.

[0077] The embodiments described above are to be understood as illustrative rather than limiting the scope of the present invention, which is to be determined by the claims. It will be apparent to those skilled in the art that non-essential improvements and adjustments to the present invention, without departing from the spirit and scope of the present invention, still fall within the scope of the present invention. < / int> < / quaternion> < / quaternion> < / int> < / int> < / int> < / quaternion> < / vector3f> < / quaternion> < / vector3f> < / quaterniom> < / vector3f> < / quaternion> < / vector3f>

Claims

1. A method for constructing a parameter-driven semi-automatic design framework, characterized in that: The construction method comprises: S1, parameter extraction step: extracting design parameters of the process station, buffer station, assembly unit, and transfer device respectively; wherein the design parameters of the process station include the product input positioning point, the product output positioning point, the part input positioning point, the first variable structural parameter, and the first variable control parameter; the design parameters of the buffer station include the part output positioning point; the design parameters of the assembly unit include: logistics path and unit production capacity; the design parameters of the transfer device include working range, material picking posture, material unloading posture, second variable structural parameter, and second variable control parameter; S2, parameter classification step: the extracted design parameters are divided into three types: interactive parameters, variant parameters and other parameters; the interactive parameters are parameters whose values are updated by specific operations in the domestic digital factory software BY-Twin, specifically including the product input positioning point, the product output positioning point, the part input positioning point, the part output positioning point, the second variable structural parameter, the second variable control parameter and the unit production capacity; the variant parameters are parameters that can bring about adaptive changes in the mechanical structure and control program parameters of the near-physical transfer device and process station after value update, specifically including the first variable structural parameter, the first variable control parameter, the second variable structural parameter and the second variable control parameter; the other parameters are parameters that do not belong to the interactive parameters and the variant parameters, specifically including the logistics path, the working range, the material picking posture and the material unloading posture; wherein, the second variable structural parameter and the second variable control parameter have the dual attributes of the interactive parameters and the variant parameters; S3, a near-physical packaging step of the substructure: in the domestic digital factory software BY-Twin, the cache station, the process station and the transfer device are packaged, specifically including: Model processing: The historical three-dimensional model of the assembly unit with fixed process is imported into the domestic digital factory software BY-Twin, and is split into three types of sub-structure models based on functional attributes: the cache station, the process station, and the transfer device; the split models are screened to eliminate redundant models with exactly the same structure, and for models with similar structures but different parameters, geometric parameters and installation parameters are extracted for parametric configuration to form a reusable sub-structure model library; a mapping relationship is established between each sub-structure model in the model library and the design parameters extracted in step S1; Extract and define actuators: Based on the actual operation process of each substructure model in the substructure model library, analyze it layer by layer according to the three-level logical hierarchy of "power source → transmission structure → actuator": Power source analysis: Identify the components that provide power in the substructure model, determine the power type of the component and the key parameters that characterize the power output characteristics; Transmission structure analysis: Analyze the transmission mechanism that transmits the power from the power source to the actuator, and clarify the transmission method, transmission ratio and motion conversion relationship of the transmission mechanism; Actuator extraction and definition: Extract the key actuators that directly participate in the operation and determine the realization of the substructure function from the 3D model of each substructure model; Standardize the definition of the extracted key actuators according to the action type, action reference axis, action form and basic action parameters to ensure that the virtual model of the actuator is consistent with the actual equipment action characteristics; Encapsulating electrical interfaces and action scripts: Based on the extracted and defined key actuators and their standardized action parameters, and in accordance with the electrical control tables used in actual production, the electrical interfaces of each substructure's 3D model are accurately encapsulated on a 1:1 basis. Once encapsulated, each electrical interface is bound to the corresponding key actuator, and a corresponding action script is written. This action script assigns specific numerical or logical values to the electrical interface, triggering the actuator to perform the corresponding action. Package variant parameters and parameter change response procedure: classify the first variable structural parameter and the second variable structural parameter as mechanical variant parameters, and classify the first variable control parameter and the second variable control parameter as control variant parameters; for the process station and the transfer device, combine the design parameters extracted in step S1 with the parameter classification results in step S2 to identify the change points of the mechanical structure and electrical interface values caused by product changes; parameterize the change points, and ensure the functional adaptability and control accuracy of the virtual model during product changes through parameter driving, thereby completing the near-physical packaging and parameterized function construction of the process station and the transfer device; S4, steps to construct a near-physical transfer unit: Topological layout: Based on the process stations, cache stations, and transfer devices that have completed near-physical packaging in step S3, topological layout is performed in the domestic digital factory software BY-Twin; according to the pre-set assembly unit design requirements, the spatial position relationship and constraint relationship between each substructure model are adjusted; through the visualization function of the software, the three-dimensional layout of the assembly unit is rendered and displayed, and a visualization model including the substructure models, electrical interface connection relationships, and parameter configuration status is generated to achieve visual presentation of the assembly unit; Using a physics engine: The Bullet physics engine is used to process the three-dimensional model of the assembly unit that has been topologically laid out and visualized, simulating the mechanical properties, motion laws, and collision effects in a real physical environment. This allows the physical performance of the three-dimensional model of the assembly unit to be close to the actual situation, thus achieving near-physical representation of the assembly unit. Control logic programming: Utilize the control logic graphical programming function provided by the domestic digital factory software BY-Twin to call the electrical interfaces of each substructure encapsulated in step S3; through the graphical programming interface, combine the electrical interfaces with the control logic modules by dragging and connecting them, and quickly write the simulation control program for the assembly unit; run the simulation control program to verify the rationality of the static layout and the correctness of the dynamic operation logic of the assembly unit, and drive the three-dimensional model of the assembly unit to execute actions according to the preset logic, realizing the transformation from static layout to dynamic operation; Encapsulating the communication interface: After completing the control logic programming and preliminary verification of the static layout and dynamic operation logic of the assembly unit, the communication protocol of the electrical interface of the assembly unit is encapsulated to ensure that the communication protocol of the encapsulated electrical interface is consistent with that of the actual device, achieving a high degree of functional restoration. Based on the encapsulated communication interface, a "real-control virtual" debugging mode is established, and the assembly unit is debugged using the actual control program to achieve the adjustability of the assembly unit. S5, operation classification and definition step: taking the near-physical assembly unit constructed in S4 as the target object, the values of the interaction parameters are updated through the following specific operations in the domestic digital factory software BY-Twin: Station configuration layout: Based on the process flow, select the appropriate process stations and cache stations from the substructure model library of the S3 that has completed near-physical packaging, determine their quantity, and layout them through the "drag and drop" interactive method in the domestic digital factory software BY-Twin; Transfer device update: if the original transfer device cannot meet the transfer requirements under the new layout of the process stations and the buffer stations after adjustment, then a suitable object will be matched and replaced in the packaged transfer device according to the new transfer requirements; Transfer device positioning: Under the new workstation layout, after the mechanical parameterization modification of the original or new transfer device is completed, positioning operations are performed, including positioning of the entire transfer device and repositioning of the axis zero point; Process simulation: After completing resource configuration, static layout, and dynamic logic construction under established requirements, the process action simulation is carried out using the process simulation module of the domestic digital factory software BY-Twin to verify the rationality of the static layout and dynamic logic and detect interference between motion mechanisms; S6, constructing a parameter-driven semi-automatic design framework: Based on the near-physical assembly unit constructed in S4, utilizing the design parameters extracted in S1, the interaction parameters and the variation parameters classified in S2, and the workstation configuration layout, transfer device update, transfer device positioning, and process simulation operations defined in S5, construct a parameter-driven framework of "design parameters-operation-near-physical unit-physical unit". The framework takes the near-physical assembly unit as the core and realizes the linkage adaptation between design requirements and physical entities through parameter driving.

2. The method for constructing a parameter-driven semi-automatic design framework according to claim 1, characterized in that: In S3, parameterization processing is performed on the change point, specifically including: S31, mechanical deformation parameter processing: establishing the association between mechanical deformation parameters and 3D model features, and driving the adaptive change of the 3D model's morphology by modifying the parameter values; S32, control variant parameter processing: write a parameter change response program. When the control variant parameters are updated, the values of the corresponding electrical interfaces are automatically adjusted to ensure that the control logic is synchronized with the mechanical structure changes.

3. The method for constructing a parameter-driven semi-automatic design framework according to claim 1, characterized in that: The specific execution steps for constructing the parameter-driven framework of "design parameter-operation-near-physical unit-physical unit" in step S6 are as follows: Determining change points: comparing the new design requirements with the packaged near-physical assembly units to determine change points for design based on the near-physical assembly units; Determine the type and quantity of workstations: determine the type and quantity of the process workstations and the buffer workstations according to the process flow; Establishing an association between product size and the process station: establishing an association between product size information and the first variable structural parameter and the first variable control parameter. When the product size changes, triggering the coordinated adaptive update of the mechanical structure and control program parameters of the process station, thereby achieving coordinated adaptation between the product size change and the function of the process station; Executing the station configuration layout operation: executing the station configuration layout operation defined in S5 on the selected process station and the cache station, and determining the layout through "drag and drop" interaction; After the layout is completed, the positioning point parameters of the assembly unit are automatically updated, and the logistics path parameters of the assembly unit are recalculated based on the positioning point parameters; Determine the functional adaptability of the transfer device: compare the updated logistics path parameters with the working range, material collection posture, and material discharge posture of the original transfer device. The specific comparison rules are as follows: Working range coverage: the starting / end coordinates of the logistics path fall within the working range of the original transfer device; Movement pattern matching: the movement pattern of the logistics path is consistent with the movement pattern of the transfer device; Posture adaptability: the material taking posture of the transfer device matches the posture of the material at the starting point of the logistics path, and the material unloading posture of the transfer device is consistent with the posture of the material at the end point of the logistics path; If the original transfer device satisfies the above three rules at the same time, the transfer device update operation is skipped and the transfer device positioning operation is directly entered; if any one of the rules is not satisfied, the transfer device update operation is executed: it is used to select a new transfer device that matches the working range, the motion form and the picking / putting posture from the transfer device model library encapsulated in the S3 step according to the working range coverage rule, the motion form matching rule and the posture adaptation rule, and replace the original transfer device; Establishing an association between product size and transfer device mechanical variation parameters: For the new transfer device, establishing an association between product size information and the second variable structural parameter. When the product size changes, the transfer device mechanical structure is linked to change to ensure that the working range covers the updated logistics path. Execute the transfer device positioning operation: execute the transfer device positioning operation defined in S5 on the original transfer device or the newly replaced transfer device, adjust the spatial position of the original transfer device or the newly replaced transfer device, and reposition the zero point of the motion axis to ensure that the coordinates of the transfer device are consistent with the assembly unit positioning point parameters; Establishing a linkage relationship between the transfer device control parameters: establishing an association relationship between the axis zero point information of the transfer device and the second variable control parameter to achieve automatic synchronous update of the transfer device control parameters; Perform process simulation and capacity verification: Based on the process simulation operation defined in S5 and the near-physical assembly unit constructed in S4, simulate the process actions under the new layout to verify the rationality of the static layout, the correctness of the dynamic logic, and the interference detection of the motion mechanism; at the same time, calculate the theoretical capacity based on the unit capacity parameters to verify whether it meets the design requirements; Virtual debugging of the control program: Using a near-physical assembly unit as a physical substitute, connect the standard electrical interface of the S4 package to a PLC or motion control card, and import the actual control program for virtual debugging. By sending control commands, verify whether the response of the near-physical unit is consistent with the physical device, ensuring the correctness and compatibility of the control program.

4. The method for constructing a parameter-driven semi-automatic design framework according to claim 1, characterized in that: The electrical interface communication protocols encapsulated in the S4 include the S7 protocol for communicating with a programmable logic controller, the Modbus protocol for communicating with industrial automation equipment, and the TCP / IP protocol.

5. The method for constructing a parameter-driven semi-automatic design framework according to claim 4, characterized in that: Establishing the association relationship between the product size information and the first variable structural parameter and the first variable control parameter, establishing the association relationship between the product size information and the second variable structural parameter, and establishing the association relationship between the axis zero point information of the transfer device and the second variable control parameter are all expressed through linear functions.

6. A parameter-driven semi-automatic design framework construction system, characterized in that: The construction system includes: a parameter extraction module: used to extract the design parameters of process stations, cache stations, assembly units and transfer devices; a parameter classification module: used to classify the extracted parameters according to interaction parameters, variant parameters and other parameters; a substructure encapsulation module: used to perform near-physical encapsulation of assembly unit substructures based on the domestic digital factory software BY-Twin; an assembly unit construction module: used to construct near-physical assembly units to achieve visualization, near-physicality, dynamicity and adjustability; an operation definition module: used to define four operations: station configuration layout, transfer device update, transfer device positioning, and process simulation; a design framework construction module: used to build a parameter-driven semi-automatic design framework to achieve linkage updates when the design changes.

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