Optimization and Application of Distributed Temperature Sensing System in Hot Blast Stove Monitoring
Aiming at the problems of traditional hot blast stove temperature measurement monitoring system,such as small measurement range and poor accuracy,this paper proposes to optimize the distributed temperature sensing system and apply it to hot blast stove monitoring.The composition structure and flow design of the system are given,and the layout of spiral winding hot blast stove is proposed.The translation algorithm is used to compensate the optical fiber dispersion for light signal.The experimental results show that,after using the optimized algorithm,the denoising effect is good and the fiber dispersion effect of the system is compensated.The average error of the system is reduced from 1.12 to 0.35℃,and the temperature measurement accuracy is improved.In conclusion,the optimized distributed temperature sensing system can effectively monitor the continuous temperature of the hot blast stove and can be used in actual temperature measurement.