|本期目录/Table of Contents|

[1]李文杰,屈薇薇,唐小林,等.基于灰度和透射率的煤尘浓度检测方法研究*[J].中国安全生产科学技术,2026,22(3):5-13.[doi:10.11731/j.issn.1673-193x.2026.03.001]
　LI Wenjie,QU Weiwei,TANG Xiaolin,et al.Research on a coal dust concentration detection method based on gray leveland transmittance[J].Journal of Safety Science and Technology,2026,22(3):5-13.[doi:10.11731/j.issn.1673-193x.2026.03.001]
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基于灰度和透射率的煤尘浓度检测方法研究*()

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

卷:
22
期数:
2026年3期
页码:
5-13
栏目:
安全工程技术
出版日期:
2026-03-30

文章信息/Info

Title:
Research on a coal dust concentration detection method based on gray leveland transmittance
文章编号:
1673-193X(2026)-03-0005-09
作者:
李文杰; 屈薇薇; 唐小林; 李斯豪; 李桂琳; 林龙沅
(1.西南科技大学 信息与控制工程学院，四川 绵阳 621010；
2.西南科大四川天府新区创新研究院，四川 成都 610299；
3.西南科技大学 环境与资源学院，四川 绵阳 621010；
4.非金属矿粉体改性与高质化利用技术四川省工程研究中心，四川 绵阳 621010)
Author(s):
LI Wenjie;  QU Weiwei;  TANG Xiaolin;  LI Sihao;  LI Guilin;  LIN Longyuan
(1.School of Information and Control Engineering,Southwest University of Science and Technology;
2.Tianfu Institute of Research and Innovation,Southwest University of Science and Technology;
3.School of Environment and Resource,Southwest University of Science and Technology;
4.Sichuan Provincial Engineering Research Center of Nonmetallic Mineral Powder Modification and High-Value Utilization,Southwest University of Science and Technology)
关键词:
煤矿安全生产; 粉尘浓度检测; 颜色模型; 特征参数
Keywords:
coal mine safety production;  dust concentration detection;  color models;  characteristic parameters
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2026.03.001
文献标志码:
A
摘要:
为了解决采矿现场煤尘浓度检测存在单点布设、采样滞后等问题，提出1种将图像灰度特征与透射率相结合的浓度检测方法。通过三维灰度分布筛选对光吸收效应敏感的通道；利用决定系数筛选特征参数；并引入大气散射模型补充光信息，最终建立灰度及透射率的特征参数与粉尘质量的二次拟合模型。研究结果表明：该方法可在80 cm×30 cm×50 cm（长×宽×高）的视野范围实现20~600 mg粉尘质量的有效测量，验证其可靠性与现场适用性。研究结果可为采矿粉尘浓度安全监测提供1种低成本、快速检测的新思路。
Abstract:
In order to address the limitations of single-point deployment and sampling lag in coal dust concentration detection at mining sites,a concentration detection method combining image grayscale features with transmittance is proposed.Channels sensitive to light absorption effects are selected through three-dimensional grayscale distribution analysis,characteristic parameters are screened using the coefficient of determination,and an atmospheric scattering model is introduced to supplement light information.A quadratic fitting model is ultimately established between the characteristic parameters of grayscale and transmittance and dust mass.The results show that the proposed method enables effective measurement of dust masses ranging from 20 to 600 mg within a field of view of 80 cm × 30 cm × 50 cm (length × width × height).validating its reliability and field applicability.These findings provide a new approach for low-cost and rapid detection in mining safety monitoring of dust concentration.

参考文献/References:

［1］LUO Y,WU Y,MA S,et al.Utilization of coal fly ash in China:a mini-review on challenges and future directions［J］.Environmental Science and Pollution Research,2021,28(15):18727-18740.
［2］RYBAK W,MORON W,FERENS W.Dust ignition characteristics of different coal ranks,biomass and solid waste［J］.Fuel,2019,237:606-618.
［3］LIN S,LIU Z,QIAN J,et al.Comparison on the explosivity of coal dust and of its explosion solid residues to assess the severity of re-explosion［J］.Fuel,2019,251:438-446.
［4］周群.煤矿井下活性磁化水降尘机制及技术研究［D］.徐州:中国矿业大学,2019.
［5］陈晓坤,王二飞,王秋红.管道内瓦斯煤尘共混爆炸温度特性［J］.中国安全生产科学技术,2019,15:5-10.CHEN Xiaokun,WANG Erfei,WANG Qiuhong,et al.Temperature characteristics of gas-coal dust hybrid explosion in pipeline［J］.Journal of Safety Science and Technology,2019,15:5-10.
［6］ZHENG K,WANG J G,LIU J,et al.Research on dust concentration measurement technique and experiment based on charge induction［C］// 2013 2nd International Conference on Measurement,Instrumentation and Automation.Guilin:Measurement Technology and Engineering Researches in Industry,2013:370-373.
［7］李瑞楼.呼吸性粉尘质量浓度在线监测技术研究［J］.中国安全生产科学技术,2025,21(6):95-99.LI Ruilou.Research on online monitoring technology of respirable dust mass concentration［J］.Journal of Safety Science and Technology,2025,21(6):95-99.
［8］GRASA G,ABANADES J C.A calibration procedure to obtain solid concentrations from digital images of bulk powders［J］.Powder Technology,2001,114(1):125-128.
［9］陈锋.基于图像法的粉尘浓度检测设计与研究［D］.杭州:中国计量大学,2019.
［10］YIN J,WANG S,SHI L,et al.Image-based dust quantification:a novel approach using texture and color features［J］.Environmental Pollution,2025,375:126309.
［11］WU J,LI G,LUO Z,et al.Distribution law of dust concentration by image transmission in a cement workshop［J］.Applied Optics,2018,57(7):59-66.
［12］YE F,WANG D,XU X,et al.Experiment and industrial application of dust concentration measurement method using image transmittance characteristic［J］.Measurement Science and Technology,2024,35(12): 125802.
［13］HE K,SUN J,TANG X.Single Image haze removal using dark channel prior［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(12):2341-2353.
［14］GUPTA A,BHATTU D.Optical properties of carbonaceous aerosols and their radiative effects in arid and semi-arid regions of Northwestern India［J］.Atmospheric Environment,2025,366:121694.
［15］刘沐黎,袁理,杨亚莉,等.基于混合色彩空间独立特征的色纺面料颜色表征模型［J］.纺织学报,2019,40:62-69.LIU Muli,YUAN Li,YANG Yali,et al.Color characterization model for colored spun fabrics based on independent features in hybrid color space［J］.Journal of Textile Research,2019,40:62-69.
［16］SUN H,GAO D,ZHAO Z,et al.An approach to in-process surface texture condition monitoring［J］.Robotics and Computer-Integrated Manufacturing,2017,48:254-262.
［17］YIN S H,SHAO Y J,WU A X,et al.Texture features analysis on micro-structure of paste backfill based on image analysis technology ［J］.Journal of Central South University,2018,25(10):2360-2372.
［18］XIA Z,WU D,NIE P,et al.Non-invasive measurement of soluble solid content and pH in Kyoho grapes using a computer vision technique［J］.Analytical Methods,2016,8(15):3242-3248.
［19］BEHROOZI-KHAZAEI N,MALEKI M R.A robust algorithm based on color features for grape cluster segmentation［J］.Computers and Electronics in Agriculture,2017,142:41-49.
［20］MCCARTNEY E J,HALL F.Optics of the atmosphere:scattering by molecules and particles［J］.Physics Today,1977,30:76-77.
［21］王伟杰,姜美美,王淑梅,等.基于量子长短期记忆网络的量子图像混沌加密方案［J］.物理学报,2023,72:21-32.WANG Weijie,JIANG Meimei,WANG Shumei,et al.Quantum image chaotic encryption scheme based on quantum long short-term memory network［J］.Acta Physica Sinica,2023,72:21-32.

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备注/Memo

备注/Memo:
收稿日期： 2025-12-09
* 基金项目： 四川省科技成果转移转化示范项目(2024HCG0121)
作者简介： 李文杰，硕士研究生，主要研究方向为图像处理，采矿安全。
通信作者： 屈薇薇，博士，讲师，主要研究方向为图像处理，模式识别。
更新日期/Last Update: