摘要
本文主要探讨了人工智能技术在水污染监测、预测和处理等方面的应用,并分析了其在提高水污染治理效率、降低成本、增强预测精度等方面的优势。同时,针对传统水污染处理技术存在的滞后性、高成本和预测精度低等问题,本文提出了利用人工智能技术进行改进的可行性和必要性。研究结果表明,人工智能技术能够有效地解决传统水污染治理中的难题,为水污染治理提供了新的解决方案。相信随着人工智能技术的不断进步,其在水污染治理领域的应用前景将更加广阔。一方面,人工智能技术可以进一步优化水污染监测和预测模型,提高监测的实时性和预测的准确性;另一方面,人工智能技术还可以与物联网、大数据等技术相结合,实现水污染治理的智能化和自动化。
This paper mainly discusses the application of artificial intelligence technology in water pollution monitoring,prediction and treatment,and analyzes its advantages in improving the efficiency of water pollution management,reducing the cost and enhancing the prediction accuracy.Meanwhile,for the problems of lagging,high cost and low prediction accuracy of traditional water pollution treatment technology,this paper puts forward the feasibility and necessity of using artificial intelligence technology for improvement.The results of the study show that artificial intelligence technology can effectively solve the problems in traditional water pollution treatment and provide a new solution for water pollution treatment.It is believed that with the continuous progress of artificial intelligence technology,its application in the field of water pollution management will have a broader prospect.On the one hand,artificial intelligence technology can further optimize the water pollution monitoring and prediction model to improve the real-time monitoring and prediction accuracy;on the other hand,artificial intelligence technology can also be combined with the Internet of Things,big data and other technologies to realize the intelligence and automation of water pollution management.
作者
金美松
陈子璇
苗艳坤
Jin Meisong;Chen Zixuan;Miao Yankun(Center for Disease Control and Prevention,Northern Theater of Operations,Liaoning,110031)
出处
《当代化工研究》
CAS
2024年第12期86-88,共3页
Modern Chemical Research
关键词
人工智能
环境工程
水污染
水治理
artificial intelligence
environmental engineering
water pollution
water governance
