The research on sub-classification of engineering waste glass based on hybrid cluster analysis algorithm

Hongyan Jiang; Fanjing Liu; Bin Huang

doi:10.1117/12.2680864

23 May 2023 The research on sub-classification of engineering waste glass based on hybrid cluster analysis algorithm

Hongyan Jiang, Fanjing Liu, Bin Huang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453L (2023) https://doi.org/10.1117/12.2680864
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

Waste engineering pre-demolition glass is often retained as recycled material to be recycled in subsequent engineering construction. In order to achieve effective recycling of different types of glass, we take the study of high potassium glass and Pb-Ba glass as an example and proposes a hybrid engineering glass clustering model with subjective and objective verification. This model firstly determines the two-dimensional classification index system through cardinality analysis, and then constructs a two-level classification model based on K-Means cluster analysis and hierarchical cluster analysis to qualitatively determine the classification result of glass with a class number of three. Subsequently, the optimal class number for both high potassium glass and Pb-Ba glass is quantitatively determined to be three based on the distance evaluation function. The sensitivity of the hybrid clustering model was found to be high.

Citation Download Citation

Hongyan Jiang, Fanjing Liu, and Bin Huang "The research on sub-classification of engineering waste glass based on hybrid cluster analysis algorithm", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453L (23 May 2023); https://doi.org/10.1117/12.2680864

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