CN-121981967-A - Abnormality identification method and system based on new energy automobile aluminum profile mold

CN121981967ACN 121981967 ACN121981967 ACN 121981967ACN-121981967-A

Abstract

The application is suitable for the technical field of production detection, and provides an abnormality identification method and a system thereof based on a new energy automobile aluminum profile die, wherein the method comprises the steps of firstly obtaining the section image information of a target aluminum profile, then based on a contour line extraction algorithm, profile contour line information is rapidly generated according to the section image information, contour area information is generated according to the profile contour line information, and finally identification result information is accurately generated according to the contour area information and preset reference area information. The application can realize the full life cycle efficient management and control of the aluminum profile mould of the new energy automobile and the stability improvement of the production process, effectively avoid the situation of layering defects of the aluminum profile in the extrusion process by real-time monitoring and process optimization, effectively intercept potential quality risks, fundamentally prevent batch unqualified aluminum profiles caused by defect propagation, and remarkably improve the qualification rate, the structural integrity and the product consistency of the aluminum profile of the new energy automobile.

Inventors

YANG SHUNMING
PAN XUEZHU
Lin Lingjiang
TIAN YONGFENG

Assignees

广亚铝业有限公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (9)

1. An anomaly identification method based on a new energy automobile aluminum profile die is characterized by comprising the following steps: Acquiring the section image information of the target aluminum profile; Based on a preset contour line extraction algorithm, generating profile contour line information according to the section image information; Generating profile area information according to the profile outline information; and generating identification result information according to the contour area information and preset reference area information.
2. The method of claim 1, wherein generating profile area information from the profile outline information comprises: generating profile contour area information according to the profile contour line information; Dividing the profile contour region information based on a preset reference divided image block to generate a plurality of divided sub-region information; and generating contour area information based on a preset area calculation formula and the plurality of segmentation subarea information.
3. The method of claim 1, wherein the identification result information includes mold normal information or mold abnormal information, and wherein the generating the identification result information based on the contour area information and the preset reference area information includes: comparing the contour area information with preset reference area information; if the contour area information is equal to the reference area information, generating the normal information of the die; And if the contour area information is not equal to the reference area information, generating the die abnormality information.
4. The method according to claim 3, wherein if the identification result information is mold abnormality information, after the identification result information is generated from the contour area information and preset reference area information, the method further comprises: if the contour area information is larger than the reference area information, generating abnormal wear information of the die; if the contour area information is smaller than the reference area information, generating mold sundry adhesion information; And sending the abnormal wear information of the die or the adhesion information of the die sundries to a preset cloud database.
5. The method according to claim 4, wherein if the identification result information is mold abnormality information, after the identification result information is generated from the contour area information and preset reference area information, the method further comprises: acquiring profile number information of the target aluminum profile, accumulated working time length information of an aluminum profile die and die abnormality information; and sending the profile number information, the accumulated working time information and the die abnormality information to a preset cloud database.
6. An anomaly identification system based on new energy automobile aluminium alloy mould, its characterized in that, the system includes: The section image information acquisition module is used for acquiring section image information of the target aluminum profile; The profile contour line information generation module is used for generating profile contour line information according to the section image information based on a preset contour line extraction algorithm; the profile area information generation module is used for generating profile area information according to the profile line information; The identification result information generation module is used for generating identification result information according to the outline area information and preset reference area information.
7. The system of claim 6, wherein the contour area information generation module comprises: The profile contour region information generation submodule is used for generating profile contour region information according to the profile contour line information; the segmentation sub-region information generation sub-module is used for carrying out segmentation processing on the profile contour region information based on a preset reference segmentation image block to generate a plurality of segmentation sub-region information; the contour area information generation sub-module is used for generating contour area information based on a preset area calculation formula and the plurality of segmentation sub-area information.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.

Description

Abnormality identification method and system based on new energy automobile aluminum profile mold Technical Field The application relates to the technical field of production detection, in particular to an anomaly identification method and system based on a new energy automobile aluminum profile die. Background The novel energy automobile aluminum profile die is specially designed for light weight and structural optimization of the automobile body, aluminum alloy profiles with complex sections can be produced efficiently, the weight of the automobile body is obviously reduced while the strength and the safety are ensured, and the endurance mileage of the novel energy automobile is improved. At present, only for aluminum profile dies, a traditional mode of regular maintenance is generally adopted, so that die defects cannot be found in time, batch unqualified products can be caused, production cost and waste rate are increased, and the problem of poor reliability exists and needs to be further improved. Disclosure of Invention Based on the method and the system, the embodiment of the application provides an anomaly identification method and system based on a new energy automobile aluminum profile die, so as to solve the problem of poor reliability in the prior art. In a first aspect, an embodiment of the present application provides an anomaly identification method based on a new energy automobile aluminum profile mold, where the method includes: Acquiring the section image information of the target aluminum profile; Based on a preset contour line extraction algorithm, generating profile contour line information according to the section image information; Generating profile area information according to the profile outline information; and generating identification result information according to the contour area information and preset reference area information. Compared with the prior art, the method for identifying the abnormality of the aluminum profile mold of the new energy automobile has the advantages that the terminal equipment can acquire the section image information of the target aluminum profile firstly, then quickly generate profile line information according to the section image information based on the preset profile line extraction algorithm, then efficiently generate profile area information according to the profile line information, and finally accurately generate identification result information according to the profile area information and the preset reference area information, so that the defect of the mold is found timely, the condition that batch unqualified products appear is reduced, the production reliability is greatly improved, and the problem of poor current reliability is solved to a certain extent. In a second aspect, an embodiment of the present application provides an anomaly identification system based on a new energy automobile aluminum profile mold, the system including: The section image information acquisition module is used for acquiring section image information of the target aluminum profile; The profile contour line information generation module is used for generating profile contour line information according to the section image information based on a preset contour line extraction algorithm; the profile area information generation module is used for generating profile area information according to the profile line information; The identification result information generation module is used for generating identification result information according to the outline area information and preset reference area information. In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect as described above when the processor executes the computer program. In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method of the first aspect described above. It will be appreciated that the advantages of the second to fourth aspects may be found in the relevant description of the first aspect and are not repeated here. Drawings In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments or the prior art will be briefly described below. FIG. 1 is a flowchart of an anomaly identification method according to an embodiment of the present application; FIG. 2 is a flowchart of step S300 in an anomaly identification method according to an embodiment of the present application; FIG. 3 is a flowchart illustrating a step S400 in an anomaly identification method according to an embodiment of the present application; FIG. 4 is a schematic d