基于AI的几何识别用于评估强化反应和分离系统的可行性
Yongbeom Shin1, Minyong Lee1, Jeongwoo Lee1
1Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea.
ACS omega
|December 25, 2023
概括
本研究介绍了一种使用人工智能的自动化方法来评估反应蒸 (RD) 的可行性,减少了专家的投入. 该方法有效地确定 RD 是否适用于化学过程,节省时间和资源.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 工艺系统工程 工艺系统工程
背景情况:
- 反应蒸 (RD) 与传统工艺相比,提供了能源和排放方面的优势.
- 综合性可行性评估至关重要,因为研发和开发的好处并不普遍.
- 研究和开发可行性的图形方法在很大程度上依赖于专家知识和启发式.
研究的目的:
- 引入一个自动化程序来评估反应蒸 (RD) 列的可行性.
- 减少在研发开发的可行性研究中对专家知识和启发式分析的依赖.
- 开发基于人工智能的方法,以快速可靠地评估研发和开发的可行性.
主要方法:
- 一种基于人工智能的区域识别方法,使用k-means集群用于三元图的图像细分.
- 从可达到的反应和分离区域提取拓信息.
- 将提取的拓数据集成到自动托盘计算中.
主要成果:
- 自动化程序成功地从三元图形景观中提取了拓信息.
- 在几秒钟内获得了RD列的可行性结果,展示了高效率.
- 使用严格模拟的案例研究验证了评估结果的可靠性和适用性.
结论:
- 开发的基于人工智能的方法提供了一种高效和自动化的方法来评估RD列的可行性.
- 这种方法大大减少了对手工专家干预的需求.
- 经过验证的方法可靠,适用于反应蒸中的各种反应类型.
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