Research on intelligent green manufacturing process monitoring based on target detection and environmental monitoring technology

被引:1
|
作者
Zhao, Jiaxin [1 ]
Lyu, Yan [1 ]
机构
[1] Southeast Univ, Sch Comp Sci & Engn, Nanjing 211189, Peoples R China
关键词
Object detection; Environmental monitoring technology; Intelligent green manufacturing; Monitoring system; CARBON EMISSIONS;
D O I
10.1016/j.tsep.2024.102766
中图分类号
O414.1 [热力学];
学科分类号
摘要
Green manufacturing aims to reduce its impact on the environment and improve resource utilization efficiency. Target detection technology has become an effective tool for monitoring green manufacturing processes. This article utilizes object detection and environmental monitoring technology to achieve monitoring of intelligent green manufacturing processes. This article collected key data and environmental information during the manufacturing process, identified and tracked key targets through object detection algorithms, and trained an object detector to identify and locate pollutants, energy equipment, and other key environmental indicators during the manufacturing process. Using environmental monitoring technology combined with environmental monitoring sensors, real-time monitoring and recording of environmental data during the manufacturing process is carried out, and correlation analysis is conducted with target detection results to further analyze and evaluate the green performance of the manufacturing process. The effectiveness and accuracy of the proposed monitoring method have been verified through experiments. The use of object detection and environmental monitoring technologies can monitor and control green manufacturing processes in real-time, improving production efficiency and resource utilization efficiency.
引用
收藏
页数:9
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