基于图像邻帧像素灰度和的矿井电火花识别及报警方法研究

孙继平; 李小伟; 王建业

doi:10.13272/j.issn.1671-251x.18141

基于图像邻帧像素灰度和的矿井电火花识别及报警方法研究

doi: 10.13272/j.issn.1671-251x.18141

中国矿业大学(北京) 人工智能学院, 北京　100083

基金项目: 国家重点研发计划资助项目（2016YFC0801800）。

详细信息

作者简介:
孙继平（1958—），男，山西翼城人，教授，博士，博士研究生导师，中国矿业大学（北京）原副校长；获国家科技进步奖和技术发明奖二等奖4项（第1完成人3项）；作为第1完成人获省部级科技进步特等奖和一等奖8项；作为第１完成人主持制定中华人民共和国煤炭行业、安全生产行业和能源行业标准48项；作为第１发明人获国家授权发明专利100余件；主持制定《煤矿安全规程》第十一章“监控与通信”；作为第1作者或独立完成著作12部；被SCI和EI检索的第1作者或独立完成论文100余篇；作为国务院煤矿事故调查专家组组长参加了10起煤矿特别重大事故调查工作；E-mail：sjp@cumtb.edu.cn

中图分类号: TD67
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出版历程
- 收稿日期: 2023-07-07
- 修回日期: 2023-07-14
- 网络出版日期: 2023-08-03

Research on mine electric spark recognition and alarm method based on the sum of adjacent frame pixel grayscale of images

School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing 100083, China

摘要

摘要: 尽早发现矿井电火花并报警，可避免或减少瓦斯和煤尘爆炸及矿井火灾事故发生。井下没有日光、月光及星光等自然光源，影响矿井电火花识别的主要是矿井光源。通过调整摄像机的安装位置及角度，可以避免或减少矿井固定光源对电火花识别的影响，但不能解决矿井移动光源对电火花识别的影响。不同形式电路产生的电火花放电周期不同，但电火花放电时间均小于4 ms。闪光光源最小亮持续时间为240 ms。因此，可利用电火花发光时间短、矿井移动光源对摄像机照射时间较长的特点，排除矿井移动光源对摄像机照射的影响。摄像机在较高帧频下拍摄，电火花图像具有1帧暗−1帧亮−1帧暗的特征，即“暗−亮−暗”的帧特征。有电火花的“亮”帧，单帧图像像素灰度和较大；无电火花的“暗”帧，单帧图像像素灰度和较小。移动光源对摄像头的照射是变化的，经历了无光−有光−无光过程。在无电火花的情况下，摄像机同样在较高帧频下拍摄，无论是移动常亮光源还是移动闪光光源的图像均不会出现“暗−亮−暗”的帧特征。基于电火花图像独有的“暗−亮−暗”的帧特征，提出了基于图像邻帧像素灰度和的矿井电火花识别及报警方法：实时采集监控区域视频图像；根据设定的帧频，对视频图像进行分帧预处理，分别计算单帧图像像素灰度和；若当前帧图像像素灰度和与前一帧图像像素灰度和之差小于预先设定的阈值，则继续采集视频图像，否则计算当前帧图像像素灰度和与后一帧图像像素灰度和之差；若该差值小于预先设定的阈值，则继续采集视频图像，否则发出矿井电火花报警信号；矿井电火花报警后，若人工没有启动应急响应，则继续进行矿井电火花报警，否则退出当前报警状态，继续采集视频图像。通过该方法可有效消除移动常亮光源和闪光光源的干扰。
- 矿井电火花 /
- 电火花监测 /
- 图像识别 /
- 矿井光源 /
- 邻帧像素
Abstract: Early detection of mine electric sparks and alarm can prevent or reduce gas and coal dust explosions and mine fire accidents. There are no natural light sources such as sunlight, moonlight, and starlight underground. The main factor affecting the recognition of mine electric sparks is the mine light source. By adjusting the installation position and angle of the camera, the impact of fixed mine light sources on electric spark recognition can be avoided or reduced. But it cannot solve the impact of mobile mine light sources on electric spark recognition. The discharge cycle of electric sparks generated by different forms of circuits is different, but the discharge time of electric sparks is less than 4 ms. The minimum bright duration of the flash light source is 240 ms. Therefore, the features of the short emission time of electric sparks and longer exposure time of mine moving light sources to cameras can be utilized to eliminate the impact of mine moving light sources on camera exposure. The camera shoots at a high frame rate, and the electric spark image has a feature of 1 frame dark -1 frame bright -1 frame dark, that is, a "dark light dark" frame feature. The "bright" frames with sparks have a large sum of pixel grayscales in a single frame. The "dark" frames without sparks have a small sum of pixel grayscales in a single frame. The illumination of a moving light source on the camera is variable, going through a process of no light, light, and no light. In the absence of electric sparks, the camera also shoots at a high frame rate. The images of both moving constant bright light sources and moving flashing light sources do not exhibit the "dark bright dark" frame feature. Based on the unique "dark bright dark" frame feature of electric spark images, a mine electric spark recognition and alarm method based on the sum of adjacent frame pixel grayscale is proposed. The method collects monitoring area video images in real time. According to the set frame rate, the method preprocesses the video image into frames and calculates the pixel grayscale of a single frame image separately. If the difference between the current frame image pixel grayscale and the previous frame image pixel grayscale is less than the pre-set threshold, the method continues to collect the video image. Otherwise, the method calculates the difference between the current frame image pixel grayscale and the subsequent frame image pixel grayscale. If the difference is less than the pre-set threshold, the method continues to collect video images. Otherwise, the method issues a mine electric spark alarm signal. After the mine electric spark alarm, if the emergency response is not activated manually, the mine electric spark alarm will continue. Otherwise, the method exits the current alarm state and continues to collect video images. This method can effectively eliminate the interference of moving constant light sources and flashing light sources.
- mine electric spark /
- spark monitoring /
- image recognition /
- mine light source /
- adjacent frame pixels

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图 1 基于图像邻帧像素灰度和的矿井电火花识别及报警方法流程

Figure 1. Flow of mine electric spark recognition and alarm method based on the sum of adjacent frame pixel grayscale of images

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参考文献(21)

[1]	孙继平. 屯兰煤矿“2·22”特别重大瓦斯爆炸事故原因及教训[J]. 煤炭学报,2010,35(1):72-75. SUN Jiping. The causes and lessons of "2.22" gas explosion disaster at Tunlan Coal Mine[J]. Journal of China Coal Society,2010,35(1):72-75.
[2]	孙继平. 煤矿瓦斯和煤尘爆炸感知报警与爆源判定方法研究[J]. 工矿自动化,2020,46(6):1-5,11. SUN Jiping. Research on method of coal mine gas and coal dust explosion perception alarm and explosion source judgment[J]. Industry and Mine Automation,2020,46(6):1-5,11.
[3]	孙继平,李小伟,徐旭,等. 矿井电火花及热动力灾害紫外图像感知方法研究[J]. 工矿自动化,2022,48(4):1-4,95. SUN Jiping,LI Xiaowei,XU Xu,et al. Research on ultraviolet image perception method of mine electric spark and thermal power disaster[J]. Journal of Mine Automation,2022,48(4):1-4,95.
[4]	孙继平. 互联网+煤矿监控与通信[M]. 北京: 煤炭工业出版社, 2016. SUN Jiping. Internet+coal mine monitoring and communication[M]. Beijing: China Coal Industry Press, 2016.
[5]	孙继平,钱晓红. 2004—2015年全国煤矿事故分析[J]. 工矿自动化,2016,42(11):1-5. SUN Jiping,QIAN Xiaohong. Analysis of coal mine accidents in China during 2004-2015[J]. Industry and Mine Automation,2016,42(11):1-5.
[6]	孙继平. 煤矿事故分析与煤矿大数据和物联网[J]. 工矿自动化,2015,41(3):1-5. SUN Jiping. Accident analysis and big data and Internet of things in coal mine[J]. Industry and Mine Automation,2015,41(3):1-5.
[7]	孙继平,钱晓红. 煤矿重特大事故应急救援技术及装备[J]. 煤炭科学技术,2017,45(1):112-116,153. doi: 10.13199/j.cnki.cst.2017.01.019 SUN Jiping,QIAN Xiaohong. Emergency rescue technology and equipment of mine extraordinary accidents[J]. Coal Science and Technology,2017,45(1):112-116,153. doi: 10.13199/j.cnki.cst.2017.01.019
[8]	汪金刚,林伟,彭鹄,等. 高压放电紫外传感器与检测装置研究[J]. 传感器与微系统,2010,29(8):56-59. doi: 10.13873/j.1000-97872010.08.005 WANG Jingang,LI Wei,PENG Hu,et al. Study on ultraviolet sensor and detection to high-voltage discharge[J]. Transducer and Microsystem Technologies,2010,29(8):56-59. doi: 10.13873/j.1000-97872010.08.005
[9]	王鹏飞,杨余旺,夏吉安. 基于图像背景建模的电火花检测[J]. 计算机技术与发展,2018,28(3):154-159. WANG Pengfei,YANG Yuwang,XIA Ji'an. Electric spark detection based on background generation[J]. Computer Technology and Development,2018,28(3):154-159.
[10]	余家奎. 基于视频的火花和烟雾检测算法研究[D]. 合肥: 中国科学技术大学, 2015. YU Jiakui. Research on video based spark and smoke detection algorithms[D]. Hefei: University of Science and Technology of China, 2015.
[11]	李杨,李绍鹏,刘建翔,等. 物料输送管道中的火花检测及熄除技术研究[J]. 消防科学与技术,2018,37(11):1551-1554. doi: 10.3969/j.issn.1009-0029.2018.11.031 LI Yang,LI Shaopeng,LIU Jianxiang,et al. Research on spark detection and extinguishing technology in material delivery pipeline[J]. Fire Science and Technology,2018,37(11):1551-1554. doi: 10.3969/j.issn.1009-0029.2018.11.031
[12]	刘树林,钟久明,樊文斌,等. 电容电路短路火花放电特性及其建模研究[J]. 煤炭学报,2012,37(12):2123-2128. LIU Shulin,ZHONG Jiuming,FAN Wenbin,et al. Short circuit discharge characteristics of the capacitive circuit and its mathematical model[J]. Journal of China Coal Society,2012,37(12):2123-2128.
[13]	张燕美, 李维坚. 本质安全电路设计[M]. 北京: 煤炭工业出版社, 1992. ZHANG Yanmei, LI Weijian. Intrinsic safety circuit design[M]. Beijing: China Coal Industry Press, 1992.
[14]	陈坤,张小良,陶光远,等. 影响静电火花放电的因素[J]. 中国粉体技术,2021,27(5):1-10. doi: 10.13732/j.issn.1008-5548.2021.05.001 CHEN Kun,ZHANG Xiaoliang,TAO Guangyuan,et al. Influence factors of electrostatic spark discharge[J]. China Powder Science and Technology,2021,27(5):1-10. doi: 10.13732/j.issn.1008-5548.2021.05.001
[15]	刘佳. 静电火花放电特性探究[D]. 大连: 大连理工大学, 2020. LIU Jia. Exploring the characteristics of electrostatic spark discharge[D]. Dalian: Dalian University of Technology, 2020.
[16]	梁天宇. 浅谈电火花加工的要素[J]. 中国高新技术企业,2015(4):91-92. doi: 10.13535/j.cnki.11-4406/n.2015.0327 LIANG Tianyu. Discussion on the elements of electrical discharge machining[J]. China High-Tech Enterprises,2015(4):91-92. doi: 10.13535/j.cnki.11-4406/n.2015.0327
[17]	MT/T 1199—2023 煤矿用防爆柴油机无轨胶轮运输车辆通用安全技术条件[S]. MT/T 1199-2023 General safety technical condition of the explosion-proof diesel trackless rubber wheel transport vehicles for coal mines[S].
[18]	GB 17509—2008汽车及挂车转向信号灯配光性能[S]. GB 17509-2008 Photometric characteristics of direction indicators for motor vehicles and their trailers[S].
[19]	GB 14886—2016道路交通信号灯设置与安装规范[S]. GB 14886-2016 Specifications for road traffic signal setting and installation[S].
[20]	GA/T 743—2016闪光警告信号灯[S]. GA/T 743-2016 Flash alarm signals[S].
[21]	JB/T 12707—2016道路监控电子闪光装置[S]. JB/T 12707-2016 Electronic flash apparatus for road monitoring[S].