Application of electromagnetic radiation detection in high-temperature anomalous areas experiencing coalfield fires. (15th December 2019)

• Record Type: Journal Article
• Authors: Kong, Biao; Wang, Enyuan; Lu, Wei; Li, Zenghua
• Is Part Of: Energy. Volume 189(2019)
• Publication Date: 2019-12-15
• Subjects: Coalfield fire -- High temperature region -- EMR -- Generation mechanism -- Coupling model -- Field test; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2019.116144
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Accurate and efficient detection of coal spontaneous combustion at high temperature remains a global problem. As such, there is a great demand for noncontact detection and location of hidden fire sources of coal spontaneous combustion. Electromagnetic radiation (EMR) has the advantages of orientation and cross-location, but the mechanisms underlying EMR signals generated during coal spontaneous combustion and the field application of EMR detection have not yet been investigated. In this paper, using an EMR testing system, the EMR change laws of coal with different metamorphic degree are obtained during the coal oxidation heating process. The thermal deformation and rupture of coal cause accumulation of free charge, and the change of velocity of free electrons caused by thermal electron transition produces EMR signals. Furthermore, an innovative method is presented to apply electromagnetic radiation technology to detect high-temperature anomalous areas in a coalfield (Daquan Lake fire area). The EMR signals in the high-temperature area have a good correspondence with the temperature. The abnormal area of high temperature in the coalfield fire area is delineated successfully by the change characteristics of EMR signals. Highlights: Mechanisms of EMR during coal oxidation heating are revealed. Thermo-electric coupling model of coal spontaneous combustion is established and verified by experiments. A new method for detecting coalfield fires by EMR is put forward and applied. The high temperature anomaly area of coal field is delineated by EMR.