全光谱水质在线监测技术研究进展  

Research Progress on Online Monitoring Technology of Water Quality with Full-Spectrum

作　　者：倪宝龙 邬志斌 程冠铭 Ni Bao-long;Wu Zhi-bin;Cheng Guan-ming(Bescient Technologies(Shenzhen)Co.,Ltd.,Shenzhen 518101,Guangdong Province,China)

机构地区：[1]碧兴物联科技(深圳)股份有限公司,广东深圳518101

出　　处：《科学与信息化》2024年第20期45-47,共3页Technology and Information

摘　　要：本文基于当前水质在线监测技术现状,对全光谱在线监测技术的发展进行了梳理总结,全光谱分析技术因其无须化学试剂、分析速度快、成本较低、无二次污染及可实现多参数同时测量等诸多优点,而被广泛应用于污染源和地表水的水体实时监测。通过基于随机森林算法和XGBootst算法的水质参数反演方法,可实现对水质多项参数的精确反演预测分析。当前水质在线监测正在进行数智化转型,全光谱AI技术因其便捷性、准确性、实时性、智能性,是目前最具开发意义及价值的新型水质在线监测技术之一。本文就全光谱分析技术在水质监测领域的研究进展与应用进行了叙述。Based on the current status of online monitoring technology of water quality,this paper summarizes development of online monitoring technology with full-spectrum.The full-spectrum technology is widely used in real-time monitoring of water body for pollution source and surface water because of its many advantages such as no chemical reagents,fast analysis speed,lower cost,no secondary pollution and multi-parameter simultaneous measurement.Based on water quality parameter inversion method of random forest algorithm and XGBoost algorithm,an accurate inversion prediction and analysis of water quality multi-parameter can be realized.The current online monitoring of water quality is undergoing a digital transformation,and full-spectrum AI technology is one of new online monitoring technologies of water quality with most development significance and value due to its convenience,accuracy,real-time and intelligence.This paper describes the research progress and application of full-spectrum analysis technology in the field of water quality monitoring.

关 键 词：全光谱 在线监测 反演预测 AI 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]