基于LIF技术的煤矿水源识别系统应用

广西师范大学学报（自然科学版） ›› 2014, Vol. 32 ›› Issue (4): 26-31.

基于LIF技术的煤矿水源识别系统应用

闫鹏程^1,2, 周孟然^1,2, 穆璐³, 宫关¹, 张开远¹

1. 安徽理工大学电气与信息工程学院,安徽淮南232001;
2. 煤矿安全高效开采省部共建教育部重点实验室,安徽淮南232001;
3.安徽科技学院数理与信息工程学院,安徽凤阳233100

收稿日期:2014-09-14 发布日期:2018-09-26
通讯作者: 周孟然(1965－),男,安徽淮南人,安徽理工大学教授,博导。E-mail:mrzhou8521@163.com
基金资助:
“十二五”国家科技支撑计划重点项目(2013BAK06B01);国家自然科学基金资助项目(51174258)

Application of the Water Source Identification System Based on LIF Technology

YAN Peng-cheng^1,2, ZHOU Meng-ran^1,2, MU Lu³, GONG Guan¹, ZHANG Kai-yuan¹

1.Electrical and Information Engineering College, Anhui University of Science and Technology, Anhui Huainan 232001, China;
2.Key Laboratory of Safety and High-efficiency Coal Mining,Ministry of Education, Anhui Huainan 232001, China;
3.College of Mathematics,Physics and Information Engineering, Anhui Science and Technology University, Anhui Fengyang 233100, China

Received:2014-09-14 Published:2018-09-26

摘要/Abstract

摘要： 本文主要叙述LIF(激光诱导荧光光谱分析)技术的基本原理以及在水源识别中的应用,重点分析LIF技术的系统构成和主要模块的选择设计。通过该系统对某矿的送检水样和标准水样进行荧光实验,得到水样的荧光光谱图。传统的水源识别主要依据水中代表离子的离子浓度进行分析,但是从荧光光谱分析水中代表离子的离子浓度难度较大。本文提出一种较为简单且实用的方法由荧光光谱进行水源的精确识别,即使用相应分析软件分别测量未知水样与标准水样的欧氏距离,得出未知水样的精确分类。对未知水样的水源识别验证了该系统的可行性,解决了当前煤矿无法对突水情况进行实时在线监测的难题,对于煤矿的安全生产具有重要意义。

关键词: 激光诱导荧光光谱分析, 水源识别, 荧光光谱, 欧氏距离

Abstract: This paper mainly describes the basic principle of LIF technology and its application in water source identification, and analyzes the structure of LIF technology and design of the main components. Through fluorescence experiment with water samples of one mine in the LIF system, the fluorescence spectra of the unknown samples was obtained. Traditional water source identification is mainly based to the ion concentration representative of the water, but it is hard to analyze the ion concentration of the water with the fluorescence spectrum. This paper proposes a more simple and practical method for precise water source identification with fluorescence spectrum, which corresponding analysis software is used to measure the Euclidean distance between unknown water samples and standard samples and then get an accurate classification of the unknown samples. Water source identification for unknown samples verifies the feasibility of the LIF system, and solves the problem that the current coal mine can’t have a better, real-time and online monitoring on water inrush, which is of great significance for coal mine safety in production.

Key words: LIF, water source identification, fluorescence spectra, Euclidean distance

中图分类号:

TD745

闫鹏程, 周孟然, 穆璐, 宫关, 张开远. 基于LIF技术的煤矿水源识别系统应用[J]. 广西师范大学学报（自然科学版）, 2014, 32(4): 26-31.

YAN Peng-cheng, ZHOU Meng-ran, MU Lu, GONG Guan, ZHANG Kai-yuan. Application of the Water Source Identification System Based on LIF Technology[J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(4): 26-31.

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