基于光纤技术的煤矿通信系统  被引量:2

Coal mine communication system based on optical fiber technology

在线阅读下载全文

作  者:靳伟 JIN Wei(Jilin Jlu Communication Design Institute Co.,Ltd,Jilin Changchun,130012)

机构地区:[1]吉林吉大通信设计院股份有限公司,吉林长春130012

出  处:《自动化与仪器仪表》2021年第7期109-112,共4页Automation & Instrumentation

基  金:江西省自然科学基金(No.GJ191008)。

摘  要:结合煤矿环境的恶劣性,针对煤矿通信工作对实时性、信息完整性的通信需求,设计基于光纤技术的煤矿通信系统。电发射机将煤矿通信信号输入到光发射机,将信号变换成煤矿通信光信号,采用人工神经网络对光纤通信色散估计与补偿方法,抑制光通信色散的不良影响,将光信号导入光接收机实施光电变换,输出对应的电信号,将号导入解调电路实施解调,输出符合用户需求的光网络信号,完成煤矿通信。仿真实验结果表明,该系统的煤矿通信信号与输出语音信号的波形一致,可准确传输煤矿通信信息,而且该系统的误码率、丢包率、传输时延都较低。combined with the bad environment of coal mine, aiming at the communication requirements of real-time and information integrity of coal mine communication work, a coal mine communication system based on optical fiber technology is designed.The electric transmitter is input the coal mine communication signal to the optical transmitter, the signal is transformed into the coal mine communication optical signal, the artificial neural network is used to estimate and compensate the dispersion of the optical fiber communication.The bad influence of the dispersion of the optical communication is suppressed to lead the optical signal into the optical receiver for photoelectric transformation, and the corresponding electrical signal is output to lead the signal into the demodulation circuit for demodulation.The output optical network signal that meets the needs of users to complete the coal mine communication.The simulation results show that the waveform of the coal mine communication signal is consistent with that of the output voice signal, and the coal mine communication information can be accurately transmitted.Moreover, the bit error rate, packet loss rate and transmission delay of the system are low.

关 键 词:光纤 煤矿 通信系统 光发射机 光接收机 人工神经网络 

分 类 号:TP29[自动化与计算机技术—检测技术与自动化装置] TN253[自动化与计算机技术—控制科学与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象