Open Access Article
Advances in Resources and Environmental Science. 2024; 3: (1) ; 12-15 ; DOI: 10.12208/j.aes.20230019.
Research on intelligent analysis and early warning system of on-line automatic monitoring dataof pollution sources
污染源在线自动监测数据的智能分析与预警系统研究
作者:
仝吉昌 *
山西省生态环境监测和应急保障中心(山西省生态环境科学研究院) 山西太原
*通讯作者:
仝吉昌,单位:山西省生态环境监测和应急保障中心(山西省生态环境科学研究院) 山西太原;
发布时间: 2024-03-22 总浏览量: 416
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摘要
随着工业化的快速发展,环境污染问题日益严重。为了更有效地监控和管理污染源,本文研究了污染源在线自动监测数据的智能分析与预警系统。该系统结合了大数据处理、机器学习和人工智能等技术,实现了对污染源的实时监测、数据分析与预警。实验结果表明,该系统能够准确识别污染源,并及时发出预警,为环保部门提供了有力的决策支持。
关键词: 污染源;在线监测;智能分析;预警系统;大数据;机器学习
Abstract
With the rapid development of industrialization, environmental pollution is becoming more and more serious. In order to monitor and manage pollution sources more effectively, this paper studies the intelligent analysis and early warning system of online automatic monitoring data of pollution sources. The system combines big data processing, machine learning and artificial intelligence technologies to realize real-time monitoring, data analysis and early warning of pollution sources. The experimental results show that the system can accurately identify pollution sources and give early warning in time, which provides strong decision support for environmental protection departments.
Key words: Pollution source; On-line monitoring; Intelligent analysis; Early warning system; Big data; Machine learning
参考文献 References
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引用本文
仝吉昌, 污染源在线自动监测数据的智能分析与预警系统研究[J]. 资源与环境科学进展, 2024; 3: (1) : 12-15.