Automobile covering part mold ridge abrasion prediction method and system and storage medium
The invention provides an automobile covering part mold ridge wear prediction method and system and a storage medium. The method comprises the following steps: constructing a training set; the single sample information in the training set comprises ridge feature parameters and forming process parame...
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| creator | LIAO MIN DONG FEIXIANG CHEN JUNWEI RAN AOYANG GONG XI XIE JIAOLONG LIU YIFAN JIANG LEI ZHANG XIONGFEI |
| description | The invention provides an automobile covering part mold ridge wear prediction method and system and a storage medium. The method comprises the following steps: constructing a training set; the single sample information in the training set comprises ridge feature parameters and forming process parameters of a mold of the same type as the to-be-predicted automobile covering part mold, and the training label is mold ridge abrasion loss; performing parameter adjustment on the SVR model based on the training set by using an IOA algorithm to obtain a mold ridge wear prediction model; and acquiring ridge feature parameters and forming process parameters of a to-be-predicted automobile covering part mold, and inputting the ridge feature parameters and the forming process parameters into the mold ridge wear prediction model to obtain a ridge wear prediction amount of the automobile covering part mold. The method can accurately and efficiently predict the wear loss of the ridge of the automobile covering part mold.
本发明 |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Automobile covering part mold ridge abrasion prediction method and system and storage medium |
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