CN-121980711-A - Welding fixture parameterization design method and device, electronic equipment and storage medium

CN121980711ACN 121980711 ACN121980711 ACN 121980711ACN-121980711-A

Abstract

The invention provides a parameterized design method, a parameterized design device, electronic equipment and a storage medium of a welding fixture, and relates to the technical field of computers, wherein the parameterized design method comprises the steps of constructing an isomerism multimodal map according to multimodal information, wherein the multimodal information comprises three-dimensional geometric model data of a to-be-welded automobile body part, welding process planning data and production line environment data; the method comprises the steps of constructing a degree-of-freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-modal atlas, respectively encoding the heterogeneous multi-modal atlas, the degree-of-freedom constraint matrix and the welding deformation potential energy constraint field as different semantic levels to obtain constraint condition context representation, and obtaining a target parameterized fixture layout scheme through the constraint condition context representation by utilizing a semantic reasoning engine and a physical computing engine. The invention realizes the improvement of the design efficiency of the welding fixture.

Inventors

ZHANG DAQIANG
XIAO HUIXIANG
ZHAO HUA
XU LIYUN
ZHANG LEI

Assignees

爱孚迪(上海)制造系统工程有限公司

Dates

Publication Date: 20260505
Application Date: 20260403

Claims (10)

1. A welding jig parameterized design method, comprising: constructing an isomerism multi-mode map according to multi-mode information, wherein the multi-mode information comprises three-dimensional geometric model data of a to-be-welded vehicle body part, welding process planning data and production line environment data; Constructing a degree-of-freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-mode map; Respectively encoding the heterogeneous multi-mode map, the degree-of-freedom constraint matrix and the welding deformation potential energy constraint field as different semantic levels to obtain constraint condition context representation; And obtaining a target parameterized fixture layout scheme through the constraint condition context representation by using a semantic reasoning engine and a physical computing engine.
2. The welding jig parameterized design method of claim 1, wherein constructing the heterogeneous multi-modal map from multi-modal information comprises: analyzing according to the welding process planning data and the production line environment data respectively to obtain a process node set and an environment node set; carrying out topological structure analysis on the three-dimensional geometric model data to obtain a geometric node set; And obtaining the heterogeneous multi-modal map through the geometric node set, the process node set and the environment node set.
3. The welding jig parameterized design method of claim 2, wherein the heterogeneous multi-modal map comprises: , wherein G is the isomerism multi-mode map, For the set of geometric nodes to be described, For the set of process nodes in question, E is the topological adjacency relation among the nodes for the environmental node set.
4. The welding jig parameterized design method of claim 1, wherein the constructing a degree of freedom constraint matrix and a welding deformation potential energy constraint field from the heterogeneous multi-modal map comprises: Constructing the degree of freedom constraint matrix through the positioning characteristic information of the heterogeneous multi-mode atlas; based on an inherent strain prediction algorithm, obtaining an inherent strain tensor according to the heterogeneous multi-mode map; wherein the intrinsic strain tensor comprises: , Wherein, the For the said intrinsic strain tensor, In order to be a plastic strain, In order to be thermally strained, Other strains; and constructing the welding deformation potential energy constraint field through the inherent strain tensor.
5. The welding jig parameterized design method of claim 4, wherein the constructing the welding deformation potential energy constraining field from the intrinsic strain tensor comprises: Obtaining welding deformation potential energy density through the inherent strain tensor; Wherein the welding deformation potential energy density comprises: , Wherein, the For the welding deformation potential energy density, The method is characterized in that the method is a transposition of an inherent strain tensor, and C is a welding deformation potential energy density matrix; constructing the welding deformation potential energy constraint field through the welding deformation potential energy density; wherein, welding deformation potential energy constraint field includes: , wherein U is the welding deformation potential energy constraint field, Is a spatial domain.
6. The welding jig parameterized design method of claim 4, wherein the constructing the degree of freedom constraint matrix from the positional characteristic information of the heterogeneous multi-modal map comprises: Obtaining a plurality of constraint spirals according to positioning characteristic information of the heterogeneous multi-mode atlas, wherein the constraint spirals are applied to a workpiece rigid body, and the positioning characteristic information is used for representing positioning element and clamping element information; Wherein the constraining helix comprises: , wherein S is the constraint spiral, Is an angular velocity vector, V is a linear velocity vector; Obtaining the degree of freedom constraint matrix through all the constraint spirals; wherein the degree of freedom constraint matrix comprises: , wherein J is the degree of freedom constraint matrix, For m said constrained spirals.
7. The welding jig parameterized design method of claim 1, wherein the obtaining the target parameterized jig layout scheme by the constraint context representation using a semantic reasoning engine and a physical computation engine comprises: based on the multi-mode big model, carrying out hierarchical reasoning through the constraint condition context representation by utilizing the semantic reasoning engine to obtain a clamp layout scheme; And based on the obstacle avoidance potential energy field and the structural rigidity objective function, carrying out self-adaptive adjustment on the fixture layout scheme by utilizing the physical calculation engine to obtain the target parameterized fixture layout scheme.
8. A welding jig parameterization design device, characterized by comprising: The heterogeneous multi-mode map construction module is used for constructing a heterogeneous multi-mode map according to multi-mode information, wherein the multi-mode information comprises three-dimensional geometric model data of a to-be-welded automobile body part, welding process planning data and production line environment data; The constraint acquisition module is used for constructing a degree-of-freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-mode map; The constraint condition context representation acquisition module is used for respectively encoding the heterogeneous multi-mode atlas, the degree of freedom constraint matrix and the welding deformation potential energy constraint field as different semantic levels to obtain constraint condition context representation; and the target parameterized fixture layout scheme acquisition module is used for obtaining the target parameterized fixture layout scheme through the constraint condition context representation by utilizing the semantic reasoning engine and the physical computing engine.
9. An electronic device comprising a memory and a processor; The memory is used for storing a computer program; The processor for implementing the welding jig parameterized design method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the welding jig parameterized design method according to any one of claims 1 to 7.

Description

Welding fixture parameterization design method and device, electronic equipment and storage medium Technical Field The invention relates to the technical field of computers, in particular to a welding fixture parameterized design method, a device, electronic equipment and a storage medium. Background In the field of automobile and equipment manufacturing, a welding fixture is key technological equipment for connecting product design and actual production and manufacturing and is used for reliably positioning, stably clamping workpieces and inhibiting welding deformation in the welding process, so that the geometric accuracy and the structural quality of a welded automobile body or part are ensured. At present, the design mode of the welding fixture mainly depends on a design engineer with abundant experience, the fixture structure is manually conceived, modeled and assembled based on computer aided design software, and the design scheme is gradually completed through repeated checking and modification. This design model is highly dependent on engineering experience and personal ability, resulting in inefficiency in design. Disclosure of Invention The invention solves the problem of how to improve the design efficiency of the welding fixture. In order to solve the problems, the invention provides a welding fixture parameterization design method, a device, electronic equipment and a storage medium. In a first aspect, the present invention provides a method for parameterizing a welding jig, including: constructing an isomerism multi-mode map according to multi-mode information, wherein the multi-mode information comprises three-dimensional geometric model data of a to-be-welded vehicle body part, welding process planning data and production line environment data; Constructing a degree-of-freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-mode map; Respectively encoding the heterogeneous multi-mode map, the degree-of-freedom constraint matrix and the welding deformation potential energy constraint field as different semantic levels to obtain constraint condition context representation; And obtaining a target parameterized fixture layout scheme through the constraint condition context representation by using a semantic reasoning engine and a physical computing engine. Optionally, the constructing a heterogeneous multi-modal map according to the multi-modal information includes: analyzing according to the welding process planning data and the production line environment data respectively to obtain a process node set and an environment node set; carrying out topological structure analysis on the three-dimensional geometric model data to obtain a geometric node set; And obtaining the heterogeneous multi-modal map through the geometric node set, the process node set and the environment node set. Optionally, the heterogeneous multi-modal map includes: , wherein G is the isomerism multi-mode map, For the set of geometric nodes to be described,For the set of process nodes in question,E is the topological adjacency relation among the nodes for the environmental node set. Optionally, the constructing a degree of freedom constraint matrix and a welding deformation potential energy constraint field through the heterogeneous multi-mode map includes: Constructing the degree of freedom constraint matrix through the positioning characteristic information of the heterogeneous multi-mode atlas; based on an inherent strain prediction algorithm, obtaining an inherent strain tensor according to the heterogeneous multi-mode map; wherein the intrinsic strain tensor comprises: , Wherein, the For the said intrinsic strain tensor,In order to be a plastic strain,In order to be thermally strained,Other strains; and constructing the welding deformation potential energy constraint field through the inherent strain tensor. Optionally, said constructing said welding deformation potential energy constraining field by said intrinsic strain tensor comprises: Obtaining welding deformation potential energy density through the inherent strain tensor; Wherein the welding deformation potential energy density comprises: , Wherein, the For the welding deformation potential energy density,The method is characterized in that the method is a transposition of an inherent strain tensor, and C is a welding deformation potential energy density matrix; constructing the welding deformation potential energy constraint field through the welding deformation potential energy density; wherein, welding deformation potential energy constraint field includes: , wherein U is the welding deformation potential energy constraint field, Is a spatial domain. Optionally, the constructing the degree of freedom constraint matrix through the positioning feature information of the heterogeneous multi-mode atlas includes: Obtaining a plurality of constraint spirals according to positioning characteristic informat