|本期目录/Table of Contents|

[1]杨昆.基于数据融合的风机风量值无线监测技术研究[J].中国安全生产科学技术,2014,10(6):157-158.[doi:10.11731/j.issn.1673-193x.2014.06.026]
　YANG Kun.Research on the technology of wireless network monitoring to air quantity of mine main ventilator based on data fusion[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(6):157-158.[doi:10.11731/j.issn.1673-193x.2014.06.026]
点击复制

基于数据融合的风机风量值无线监测技术研究
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
10
期数:
2014年6期
页码:
157-158
栏目:
职业安全卫生管理与技术
出版日期:
2014-06-30

文章信息/Info

Title:
Research on the technology of wireless network monitoring to air quantity of mine main ventilator based on data fusion
文章编号:
20140626
作者:
杨昆
（辽宁工程技术大学 安全科学与工程学院，辽宁 葫芦岛 125105
Author(s):
YANG Kun
(College of Safety Science and Engineering, Liaoning Technical University, Huludao Liaoning 125105, China)
关键词:
矿井主要通风机; 风量; 无线传输技术; 多传感器数据融合; 远程监测
Keywords:
mine main ventilator;  air quantity;  wireless transmission technology;  data fusion of multisensor;  remote monitor
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2014.06.026
文献标志码:
A
摘要:
为了解决主要通风机在测风量过程中在线实时监测等问题，建立了以无线传输技术为基础的三层传输系统框架，并将改进的数据融合算法引入到风量值数据处理当中，通过选取阙值区间利用二次曲线函数来消除阙值点处相互支持的模糊性，取得最优融合传感器组，并对实测数据进行抗干扰实验分析。实验结果表明，无线传输方式有利于风量数据的在线实时监测；改进的数据融合算法能及时有效地消除传感器的测量偏差、提高风量数据的测量精确度。研究结果对煤矿主要通风机风量在线远程监测具一定的理论价值和实用意义。
Abstract:
In order to solve the problem that the traditional air quantity monitoring can not meet the realtime monitoring, the framework of threelevel transmission system based on wireless transmission technology was established, and the improved data fusion algorithm was applied to data processing of air quantity. The quadratic curve function in the threshold interval was proposed to estimate the fuzziness degree of support among the sensors. The optimal sensor group was obtained, and the interference testing was conducted on the measured data. The results showed that the wireless transmission technology is conducive to the online realtime monitoring of air quantity data, and the improved data fusion algorithm can effectively correct measurement error of the sensor and improve the accuracy of air quantity measurements. It has a certain theoretical value and practical meaning for realtime monitoring on air quantity of mine main ventilator.

参考文献/References:

[1]徐晓宇.ST-JK06系列智能监控终端在矿井风机监控系统中的应用［J］.煤矿开采,2007,12(4):95-97 XU Xiaoyu.Application of ST-JK06 series intelligent monitoring terminal in monitoring system of mine fan ［J］.Coal Mining Technology,2007,12(4):95-97
[2］章庆丰,贾宝山,葛少成.DF-3C多路风速仪在主通风机性能测定中的应用［J］.矿业安全与环保,2003,30(1):51-52 ZHANG Qingfeng,JIA Baoshan,GE shaocheng. Application of DF-3C multichannel anemometer performance measurement in the main fan.Mining Safety & Environmental Protection,2003,30(1):51-52
[3］于栋,张新民.矿用主通风机风量测试方法的研究［J］.煤炭工程,2007,(5): 84-85 YU Dong,ZHANG Xinmin. Research on ventilation quantity measuring method of minemain ventilator ［J］.Coal Engineering,2007,(5):84-85
[4］R.J.(Bud)Bates.通用分组无线业务(GPRS)技术与应用［M］.北京:人民邮电出版社,2003, 17-35
[5］洪波.基于GPRS的水情测报系统的研究与应用［D］.浙江工业大学
[6］马潮.AVR单片机嵌入式系统原理与应用实践［M］.北京: 航空航天大学出版社,2007,22-23
[7］涂国平.多传感器数据融合的稳健处理方法［J］.数据采集与处理,1998,13(1): 85-87 TU Guoping. A robust method for the data fusion［J］.Journal of Data Acquisition &Processing,1998,13(1): 85-87
[8］焦竹青,熊伟丽,张林,等.基于信任度的多传感器数据融合及其应用［J］.东南大学学报（自然科学版）,2008,(38):253-257 JIAO Zhuqing,XIONG Weili,ZHANG Lin, et al. Multisensor data fusion method based on belief degree and its applications［J］.Journal of Southeast University(Natural Science Edition),2008,(38):253-257
[9］杨昆,吴东旭.矿井主要通风机风量测试研究［J］.微计算机信息,2011,3(21):50-53 YANG Kun, WU Dongxu.Examination of ventilation quantity in minemain ventilator ［J］.Microcomputer Information,2011,3(21):50-53
[10］Moon HyeongSoon,Kim Yong Back,Beattid Robert J.Multisensor data fusion for improving performance and reliability of fully automatic welding system［J］.International Journal of Advance Manufacture Technology,2006,28(3-4):286-293
[11］陈增福.多传感器数据融合的数学方法［J］.数学的实践与认识,1995,25(2):13-16 CHEN Fuzeng.A mathematical method for the data fusion of multisensor［J］. Mathematics In Practice and Theory,1995,25(2):13-16
[12］刁联旺,王常武,等.多传感器一致性数据融合方法的改进与推广［J］.系统工程与电子技术,2002,24(9):60-61 DIAO Lianwang, WANG Changwu, et al. Improved and generalized consensus data fusion method［J］. Systems Engineering and Electronics, 2002,24(9):60-61
[13］王丽,杨全胜.多传感器数据融合的一种方法［J］.计算机技术与发展,2008,18(2): 80-82 WANG Li,YANG Quansheng. A method of the multisensory data fusion［J］. Computer Technology and Development,2008,18(2): 80-82
[14］涂国平,邓群钊.多传感器数据的统计融合方法［J］.传感器技术,2001,20(3): 28-32 TU Guoping, DENG Qunzhao. A statistical method for the data fusion of multisensor［J］.Journal of Transducer Technology, 2001,20(3): 28-32
[15］王威,周军红,王润生.多传感器数据融合的一种方法［J］.传感器技术,2003,22(9): 39-41 WANG Wei,ZHOU Junhong,WANG Runsheng. A method of the multisensory data fusion［J］.Journal of Transducer Technology, 2003,22(9): 39-41

相似文献/References:

[1]韩靖,丁长栋,蒋曙光,等.变频调风时通风系统风量可靠性评价数学模型[J].中国安全生产科学技术,2016,12(3):143.[doi:10.11731/j.issn.1673-193x.2016.03.026]
　HAN Jing,DING Changdong,JIANG Shuguang,et al.Mathematical model of reliability evaluation on air volume of ventilation system in volume adjustment by frequency conversion[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):143.[doi:10.11731/j.issn.1673-193x.2016.03.026]
[2]韩靖,蒋曙光,王媛媛,等.通风网络分支风量与风机频率及变频 灵敏度的关系研究[J].中国安全生产科学技术,2016,12(5):26.[doi:10.11731/j.issn.1673-193x.2016.05.005]
　HAN Jing,JIANG Shuguang,WANG Yuanyuan,et al.Study on relationship between air volume among branches of ventilation network with fan frequency and frequency conversion sensitivity[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):26.[doi:10.11731/j.issn.1673-193x.2016.05.005]

备注/Memo

备注/Memo:
国家自然科学基金项目（50704019）
更新日期/Last Update: 2014-07-28