A method and system for intelligent optimization of VOCs carpet foaming process parameters
By dividing micro-regions based on the three-dimensional features of carpet usage scenarios, and constructing an LSTM and GBDT fusion model and a neighboring region collaborative constraint model, the problem of differentiated control of VOCs emissions and quality performance in automotive carpet foaming production was solved. This enabled intelligent and precise control of process parameters, improving production efficiency and product quality.
CN122242860APending Publication Date: 2026-06-19山东恒越汽车内饰件有限公司
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 山东恒越汽车内饰件有限公司
- Filing Date
- 2026-03-24
- Publication Date
- 2026-06-19
Smart Images
Figure CN122242860A_ABST
Abstract
This invention discloses a method and system for intelligent optimization of VOCs carpet foaming process parameters. ， This includes: dividing micro-regions based on the three-dimensional features of carpet usage scenarios, acquiring foaming process parameters, VOCs emission data, and quality performance data, constructing an effective dataset, training a dual-objective prediction ensemble model and a neighboring zone cooperative constraint model based on the effective dataset, inputting the parameters of the effective dataset into the dual-objective prediction ensemble model to obtain prediction results, determining whether there are anomalies, and if anomalies are determined, using an improved particle swarm optimization algorithm combined with the neighboring zone cooperative constraint model to generate a zonal optimization scheme. This solves the technical problem that existing technologies cannot achieve differentiated control of VOCs emissions and quality performance, and realizes the technical effect of zonal optimization of process parameters according to actual usage scenarios.
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