CAJ | 학술논문

针对煤矿安全存在潜在的火灾问题，文章将优化的分布式光纤测温系统应用于煤矿火灾监测，同时，提出了一种命名为RLN-ELAM的新颖算法用于检测并消除瑞利噪声对系统测量精度的影响，并有效提高拉曼分布式光纤系统的测量精度。实验结果表明，利用此算法后，系统的温度分辨率、空间分辨率均有所提高，测量误差从7%降低到不足2%。在实验室进行的模拟实验中，对温度进行实际测量，结果表明，该煤矿火灾监测系统能够提供详细的温度分布情况并能够及时报警，使工作人员随时掌握煤矿温度分布情况，及时准确地找到火灾发生区。
침대매광안전존재잠재적화재문제，문장장우화적분포식광섬측온계통응용우매광화재감측，동시，제출료일충명명위RLN-ELAM적신영산법용우검측병소제서리조성대계통측량정도적영향，병유효제고랍만분포식광섬계통적측량정도。실험결과표명，이용차산법후，계통적온도분변솔、공간분변솔균유소제고，측량오차종7%강저도불족2%。재실험실진행적모의실험중，대온도진행실제측량，결과표명，해매광화재감측계통능구제공상세적온도분포정황병능구급시보경，사공작인원수시장악매광온도분포정황，급시준학지조도화재발생구。
In view of the potential fire problems of coal safety, the paper attemps to apply the optimization of distributed optical fiber temperature measturement system to coal mine fire monitoring. And it proposes a novel algorithm called RLN-ELAM to detect and elimate the influence of Rayleigh noise and improve the accuracy of the system at the same time. The experimental result shows that,the system temperature resolution and space resolution can be improved and the measurement error is reduced from 7% to less than 2% by using this design scheme and algorithm. Finally, the author put the algorithm into the actual temperature measurement, the coal mine fire monitoring system is able to provide detailed temperature distribution,and it is easy to master the coal temperature distribution and find the fire zones timely and accurately.