智能科学与技术学报2026，Vol.8Issue(1)：12-32,21.DOI:10.11959/j.issn.2096-6652.202604
化工行业人工智能物联网技术及应用研究综述
A review of artificial intelligence of things technologies and applications in the chemical industry
摘要
Abstract
Artificial intelligence of things(AIoT)has become an important enabling technology for the chemical industry,especially in online monitoring and intelligent inspection,equipment management,and predictive maintenance,providing strong support for the transition toward Industry 5.0.From the perspective of AIoT system architecture,the recent prog-ress of key technologies was reviewed,including data acquisition at the perception layer,data transmission at the network layer,data processing at the edge and platform layers,and control and actuation at the execution layer.Typical application scenarios in the chemical industry were further analyzed to summarize the deployment effectiveness and technical path-ways of AIoT in real production environments.The analysis indicates that AIoT can significantly enhance state percep-tion,anomaly identification,predictive analysis,and collaborative control under complex operating conditions.However,challenges remain in heterogeneous data management,model generalization and interpretability,secure communication,and large-scale engineering deployment.Future research should focus on cloud-edge-end collaborative intelligence,light-weight and adaptive deployment,and physics-data hybrid modeling for safety-oriented closed-loop optimization.关键词
人工智能物联网/物联网/工业5.0/化工行业Key words
artificial intelligence of things/Internet of things/Industry 5.0/chemical industry分类
信息技术与安全科学引用本文复制引用
张伟,纪雅婷,赵利强,王坤峰..化工行业人工智能物联网技术及应用研究综述[J].智能科学与技术学报,2026,8(1):12-32,21.基金项目
国家自然科学基金项目(No.U22A2061) （No.U22A2061）
北京市自然科学基金项目(No.L241017)The National Natural Science Foundation of China(No.U22A2061),Beijing Natural Science Foundation(No.L241017) （No.L241017）
