短波收信天馈系统智能监测模块的设计
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摘要
针对短波收信天馈系统日常检测维护中缺少智能化监测手段的难题,研究设计一种能够对该系统关键特性指标进行实时监测的智能监测模块。采用定向耦合方式对天馈线中的驻波反射信号进行采集,通过混频至中频信号再进行A/D采集的方式提高射频信号测量的精确度,以嵌入式控制与RS485总线、以太网接口相结合的方式实现模块内部运行以及与监测服务器的远程数据传输与控制。构建基于果蝇优化算法的最小二乘支持向量机(LSSVM)智能诊断模型,通过监测数据仿真验证了该模型的有效性与准确性。
In view of the shortage of intelligent monitoring method in daily detection and maintenance of shortwave receiving antenna and feeding system,an intelligent monitoring module which monitored the key characteristic indexes of the system was designed.The standing wave reflection signal in the antenna feeder was collected by means of directional coupling,and the accuracy of RF signal measurement was improved by mixing to the IF signal and then using A/D acquisition mode.The internal operation of the module and the remote data transmission and control with the monitoring server were realized by the combination of embedded control,RS485 bus and Ethernet interface.A least squares support vector machine(LSSVM)intelligent diagnosis model based on drosophila optimization algorithm was constructed,and the validity and accuracy of the model were verified by the monitoring data simulation.
In view of the shortage of intelligent monitoring method in daily detection and maintenance of shortwave receiving antenna and feeding system,an intelligent monitoring module which monitored the key characteristic indexes of the system was designed.The standing wave reflection signal in the antenna feeder was collected by means of directional coupling,and the accuracy of RF signal measurement was improved by mixing to the IF signal and then using A/D acquisition mode.The internal operation of the module and the remote data transmission and control with the monitoring server were realized by the combination of embedded control,RS485 bus and Ethernet interface.A least squares support vector machine(LSSVM)intelligent diagnosis model based on drosophila optimization algorithm was constructed,and the validity and accuracy of the model were verified by the monitoring data simulation.
引文
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[4]ZHANG Jiamin,LIAO Panpan,HONG Xuan.Design of power quality interference generator based on direct signal synthesis technology[J].Electrical Measurement and Instrument,2016,53(20):62-66(in Chinese).[张佳民,廖盼盼,洪轩.基于直接信号合成技术电能质量干扰发生器的设计[J].电测与仪表,2016,53(20):62-66.]
[5]AN Weipeng,WEI Liya.Design of information transmission interface for mine based on S3C6410[J].Instrument Technology and Sensor,2016(6):40-43(in Chinese).[安葳鹏,魏利亚.基于S3C6410的矿用信息传输接口的设计[J].仪表技术与传感器,2016(6):40-43.]
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[7]CAO Wangbin,YIN Chengqun,XIE Zhiyuan,et al.Software system for intelligent distribution transformer monitoring system[J].Electrical Measurement and Instrumentation,2016,53(6):37-41(in Chinese).[曹旺斌,尹成群,谢志远,等.智能配电变压器监测软件系统的设计与实现[J].电测与仪表,2016,53(6):37-41.]
[8]SI Gangquan,LI Shuiwang,SHI Jianquan,et al.Least squares support vector machine parameters optimization based on improved fruit fly optimization algorithm with applications[J].Journal of Xi’an Jiao Tong University,2017,51(6):14-19(in Chinese).[司刚全,李水旺,石建全,等.采用改进果蝇优化算法的最小二乘支持向量机参数优化方法[J].西安交通大学学报,2017,51(6):14-19.]
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