利用大数据和智能算法实现气相色谱仪检测管理标准化研究  

Research on Standardization of Gas Chromatography Detection Management Using Big Data and Intelligent Algorithms

作　　者：陈守宇 CHEN Shouyu(Xuzhou Inspection and Testing Center,Xuzhou Jiangsu 221000)

机构地区：[1]徐州市检验检测中心,江苏徐州221000

出　　处：《中国科技纵横》2025年第1期43-45,共3页China Science & Technology Overview

摘　　要：大数据时代,各个行业的数据急剧增长,包括气相色谱仪检测数据。然而,海量数据的存储、管理和分析仍然是一个巨大挑战,也是提高实验室效率和保证检测质量的关键。本文详细阐述了大数据和智能算法在数据采集、分析、处理等方面的应用,以及提升检测管理效率和准确性的重要作用,分析了利用大数据和智能算法实现气相色谱仪(GC)检测管理标准化的步骤,以期为相关工作提供有益参考和借鉴。In the era of big data,data from various industries has grown rapidly,including gas chromatography detection data.However,storing,managing,and analyzing massive amounts of data remains a huge challenge and a key factor in improving laboratory efficiency and ensuring testing quality.This article elaborates on the application of big data and intelligent algorithms in data collection,analysis,and processing,as well as their important role in improving the efficiency and accuracy of detection management.It analyzes the steps of using big data and intelligent algorithms to standardize gas chromatography(GC)detection management,in order to provide useful references and guidance for the development of related work.

关 键 词：大数据 智能算法 气相色谱仪 检测管理 标准化 

分 类 号：P406[天文地球—大气科学及气象学]