Clustering-based mass point algorithm visualization acceleration method and system

• Main Authors: DING LIANGLIANG, HUANG YONGZHENG, CUI XIAOXIAO, ZHU JIANG, LI HAONAN, WANG XIAOGUANG, SHI PENG, HE XIAOHUI, XUE XIAOGUANG, ZHAO YULI, ZHOU XU, LI KAI
• Format: Patent
• Language: Chinese; English
• Published: 24.11.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to the field of explosion damage simulation, in particular to a mass point class algorithm visualization acceleration method and system based on clustering, and the method comprises the steps: obtaining a data result file of explosion damage; sampling scene features of the data result file are obtained, and a down-sampling method matched with the sampling scene features is found in a clustering down-sampling method library according to a preset matching rule; selecting a first clustering condition matched with the sampling scene features and the clustering down-sampling method from a first clustering condition database through the sampling scene features and the down-sampling method; selecting a second clustering condition input by the user through a down-sampling method; and adopting the first clustering condition and the second clustering condition to perform clustering down-sampling on the visual physical characteristics of the data result file through the selected down-sampling metho