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基于无线网络和人工智能技术的氯化聚乙烯再生处理性能研究。

Study on Regenerative Processing Performance of Chlorinated Polyethylene Based on Wireless Network and Artificial Intelligence Technology.

机构信息

School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.

出版信息

Comput Intell Neurosci. 2022 Aug 19;2022:3811320. doi: 10.1155/2022/3811320. eCollection 2022.

Abstract

The development of Information Technology has intruded the chemical industry. In the conventional chemical industry, humans are involved in monitoring the chemical evaporation processes. If there is any damage, then humans suffer enormously. These drawbacks are overcome in the chemical industry by implanting the sensors to the required blocks for monitoring the levels of chemical substances. An alert system can be introduced with an artificial intelligence algorithm to regenerate the process using details updated in the database. In this research, the machine-based Time-Temperature Superposition (TTS) method is implemented to monitor the chemical reactions in the chemical component manufacturing company.

摘要

信息技术的发展已经渗透到化学工业中。在传统的化学工业中,人们参与监测化学蒸发过程。如果发生任何损坏,那么人类将遭受巨大的损失。这些缺点在化学工业中得到了克服,方法是将传感器植入到所需的监测化学物质水平的块中。可以引入带有人工智能算法的警报系统,使用数据库中更新的详细信息来重新生成过程。在这项研究中,实施了基于机器的时-温叠加 (TTS) 方法来监测化学部件制造公司中的化学反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/9417760/f9274bb9713e/CIN2022-3811320.001.jpg

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