Guo Jun, Shang Haoyu, Cai Guobin, Jin Yongfei, Wang Kaixuan, Li Shuai
College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi'an 710054, China.
ACS Omega. 2023 May 1;8(19):16519-16531. doi: 10.1021/acsomega.3c00199. eCollection 2023 May 16.
Prevention and control of coal spontaneous combustion are key to coal mining and storage. Existing technologies for the detection of coal spontaneous combustion have limitations, but coal spontaneous combustion creates some serious disasters in areas of the world where coal mining and/or storage exists. New technologies to detect coal spontaneous combustion are urgently needed to reduce the loss of life and resources. The article reviews the main techniques employed to detect coal spontaneous combustion and their advantages and disadvantages; it also reviews the good application prospect of acoustic temperature measurement technology on coal spontaneous combustion and introduces the basic principle of acoustic coal temperature measurement. The evolution of combustion sound and the propagation and attenuation of acoustic waves in quasi-porous media are discussed to form the basis for the development of acoustic thermometry technologies that can be used to accurately identify acoustic signals and temperature fields in loose coal. The concept of "single-source" coal temperature measurement to "dual-source" coal temperature measurement achieved by using combustion sound and an additional sound source device in the automatic combustion of loose coal in the mined area is discussed. The deep learning methods and correlation analyses are available to map the relationships between combustion sound, coal temperature, and sound velocity, and acquire coal temperature from dual source composite acoustic signals. The study lays the foundation for the development of acoustic thermometry technologies that have applications in different stages of combustion and applied to the early warning, prevention, and control of spontaneous combustion in coal, and it contributes to improving the environmental safety and efficiency of coal mining and storage.
煤炭自燃的防治是煤炭开采和储存的关键。现有的煤炭自燃检测技术存在局限性，但在全球有煤炭开采和/或储存的地区，煤炭自燃会引发一些严重灾害。迫切需要新技术来检测煤炭自燃，以减少生命和资源损失。本文综述了用于检测煤炭自燃的主要技术及其优缺点；还综述了声测温度技术在煤炭自燃检测方面良好的应用前景，并介绍了声测煤炭温度的基本原理。讨论了燃烧声音的演变以及声波在准多孔介质中的传播和衰减，为开发可用于准确识别松散煤体中声信号和温度场的声测温度技术奠定基础。探讨了在采空区松散煤体自燃过程中，利用燃烧声音和额外声源装置实现从“单源”煤炭温度测量到“双源”煤炭温度测量的概念。深度学习方法和相关性分析可用于绘制燃烧声音、煤炭温度和声速之间的关系，并从双源复合声信号中获取煤炭温度。该研究为声测温度技术的发展奠定了基础，该技术可应用于燃烧的不同阶段，用于煤炭自燃的预警、预防和控制，有助于提高煤炭开采和储存的环境安全性和效率。
