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作 者:张宝君 朱丽 项鸣 ZHANG Baojun;ZHU Li;XIANG Ming(School of Electrical and Electronic Engineering,Shanghai Institute of technology,Shanghai 201418,China)
机构地区:[1]上海应用技术大学电气与电子工程学院,上海201418
出 处:《舰船科学技术》2024年第20期167-171,共5页Ship Science and Technology
基 金:国家自然科学基金资助项目(61403256)。
摘 要:为了及时发现并处理高频电路中潜在的能耗问题,提出低能耗船舶用高频电路运行状态自动监测方法。在高频电路系统的关键位置部署温度、电流与电压等传感器,以实时获取船舶用高频电路的运行状态数据。采集各传感器输出的模拟信号并转换为数字信号,采用无线通信技术将数字信号传输至数据处理中心,利用双向LSTM网络构建低能耗船舶用高频电路运行状态自动监测模型,将所采集的数据作为模型输入,监测高频电路运行状态。实验结果显示,路由算法优化后信息传输所消耗的能耗下降约50%左右,监测结果整体准确率达到96%。In order to timely detect and address potential energy consumption issues in high-frequency circuits,a meth-od for automatic monitoring of the operating status of high-frequency circuits for low energy ships is proposed.Deploy tem-perature,current,and voltage sensors at critical locations in the high-frequency circuit system to obtain real-time operational status data of high-frequency circuits used in ships.Collect analog signals output by various sensors and convert them into digital signals.Use wireless communication technology to transmit the digital signals to the data processing center,and use a bidirectional LSTM network to construct an automatic monitoring model for the operation status of high-frequency circuits in low-energy ships.The collected data is used as model input to monitor the operation status of high-frequency circuits.The experimental results show that after optimizing the routing algorithm,the energy consumption of information transmission decreases by about 50%,and the overall accuracy of monitoring results reaches 96%.
关 键 词:低能耗 高频电路 运行状态监测 ZigBee树路由算法 双向LSTM网络
分 类 号:U665[交通运输工程—船舶及航道工程]
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