Neutral Beam Injection control system (NBICS) is constructed to measure the plasma current, Magnet current, vacuum pressure, cryopump temperature, control water cooling, filament voltage, and power supply, etc. The NB...Neutral Beam Injection control system (NBICS) is constructed to measure the plasma current, Magnet current, vacuum pressure, cryopump temperature, control water cooling, filament voltage, and power supply, etc. The NBICS, consisting mainly of a Programmable Logic Controller (PLC) subsystem, data acquisition and processing subsystem and cryopump and vacuum pressure monitoring subsystem, has successfully been used on a NBI device. In this article, the design of NBICS on HT-7 is discussed and each subsystem is described in particular. In addition, some experimental results are reported which are very important data for further research related to the HT-7 tokamak.展开更多
A test system is developed for the BESIII ETOF/MRPC beam tests of data acquisition, environment monitoring and automatic control. The software framework is based on the CAMAC bus, VME bus and Serial Port,which are res...A test system is developed for the BESIII ETOF/MRPC beam tests of data acquisition, environment monitoring and automatic control. The software framework is based on the CAMAC bus, VME bus and Serial Port,which are responsible for communications with the detectors. The monitor system works well in the beam test.展开更多
针对复杂多变的工作环境给风电机组状态监测带来的挑战,提出了一种基于深度学习和注意力机制组合的状态监测与健康评估方法。首先,将风电机组数据采集与监控(supervisory control and data acquisition,简称SCADA)系统数据进行预处理;其...针对复杂多变的工作环境给风电机组状态监测带来的挑战,提出了一种基于深度学习和注意力机制组合的状态监测与健康评估方法。首先,将风电机组数据采集与监控(supervisory control and data acquisition,简称SCADA)系统数据进行预处理;其次,将卷积神经网络(convolutional neural networks,简称CNN)和长短期记忆网络(long short-term memory,简称LSTM)相结合提取数据的时空特征,并引入注意力机制(Attention)为LSTM分配相应的权重;然后,利用指数加权移动平均来设置阈值,通过分析均方根误差实现风电机组的状态监测;最后,通过实例对风电机组的主轴承、发电机定子和叶片变桨电机状态进行监测分析和健康评估,验证该方法的有效性。展开更多
为了进一步提高工业机器人的故障状态监测精度,采用RV齿轮箱数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)进行数据采集测试,通过邻近算法(K-Nearest Neighbor,KNN)综合评价了RV齿轮箱故障状态下的全工况参...为了进一步提高工业机器人的故障状态监测精度,采用RV齿轮箱数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)进行数据采集测试,通过邻近算法(K-Nearest Neighbor,KNN)综合评价了RV齿轮箱故障状态下的全工况参数。以SPC方法与滑动窗口结合的方法获得异常率结果,实时监测齿轮箱的实际运行状态。研究结果表明:阈值介于0.1~0.2之间时,样本数目平缓减少,此时是比较优秀的。选择参数设置可以使得预测精度提高3.1%,优化14.1%运算效率。该研究有助于提高工业机器人的使用效率,具有很高的节能提效作用。展开更多
针对传统中波发射机监控系统依赖人工值守、监测手段落后、缺乏远程功能等问题,提出一种基于可编程逻辑控制器(Programmable Logic Controller,PLC)和数据采集与监视控制(Supervisory Control And Data Acquisition,SCADA)架构的远程监...针对传统中波发射机监控系统依赖人工值守、监测手段落后、缺乏远程功能等问题,提出一种基于可编程逻辑控制器(Programmable Logic Controller,PLC)和数据采集与监视控制(Supervisory Control And Data Acquisition,SCADA)架构的远程监控系统升级改造方案。通过在发射机房安装PLC控制柜并结合上位机SCADA软件,实时采集与监视阳极电压、电流、输出功率等关键参数,远程控制发射机启停、功率调节等操作。系统设计中重点解决了高压、大电流以及射频功率等关键参数的安全采集与信号调理,并在PLC程序中实现了启停顺序控制、故障联锁保护以及数据通信管理。展开更多
基金The project supported by the Meg-science Engineering Project of the Chinese Academy of Sciences
文摘Neutral Beam Injection control system (NBICS) is constructed to measure the plasma current, Magnet current, vacuum pressure, cryopump temperature, control water cooling, filament voltage, and power supply, etc. The NBICS, consisting mainly of a Programmable Logic Controller (PLC) subsystem, data acquisition and processing subsystem and cryopump and vacuum pressure monitoring subsystem, has successfully been used on a NBI device. In this article, the design of NBICS on HT-7 is discussed and each subsystem is described in particular. In addition, some experimental results are reported which are very important data for further research related to the HT-7 tokamak.
基金Supported by the State Key program of National Natural Science of China(No.10979003)National Natural Science Foundation of China(No.10775181)China Postdoctoral Science Foundation(No.20090460521)
文摘A test system is developed for the BESIII ETOF/MRPC beam tests of data acquisition, environment monitoring and automatic control. The software framework is based on the CAMAC bus, VME bus and Serial Port,which are responsible for communications with the detectors. The monitor system works well in the beam test.
文摘针对复杂多变的工作环境给风电机组状态监测带来的挑战,提出了一种基于深度学习和注意力机制组合的状态监测与健康评估方法。首先,将风电机组数据采集与监控(supervisory control and data acquisition,简称SCADA)系统数据进行预处理;其次,将卷积神经网络(convolutional neural networks,简称CNN)和长短期记忆网络(long short-term memory,简称LSTM)相结合提取数据的时空特征,并引入注意力机制(Attention)为LSTM分配相应的权重;然后,利用指数加权移动平均来设置阈值,通过分析均方根误差实现风电机组的状态监测;最后,通过实例对风电机组的主轴承、发电机定子和叶片变桨电机状态进行监测分析和健康评估,验证该方法的有效性。
文摘为了进一步提高工业机器人的故障状态监测精度,采用RV齿轮箱数据采集与监视控制系统(Supervisory Control And Data Acquisition,SCADA)进行数据采集测试,通过邻近算法(K-Nearest Neighbor,KNN)综合评价了RV齿轮箱故障状态下的全工况参数。以SPC方法与滑动窗口结合的方法获得异常率结果,实时监测齿轮箱的实际运行状态。研究结果表明:阈值介于0.1~0.2之间时,样本数目平缓减少,此时是比较优秀的。选择参数设置可以使得预测精度提高3.1%,优化14.1%运算效率。该研究有助于提高工业机器人的使用效率,具有很高的节能提效作用。
文摘针对传统中波发射机监控系统依赖人工值守、监测手段落后、缺乏远程功能等问题,提出一种基于可编程逻辑控制器(Programmable Logic Controller,PLC)和数据采集与监视控制(Supervisory Control And Data Acquisition,SCADA)架构的远程监控系统升级改造方案。通过在发射机房安装PLC控制柜并结合上位机SCADA软件,实时采集与监视阳极电压、电流、输出功率等关键参数,远程控制发射机启停、功率调节等操作。系统设计中重点解决了高压、大电流以及射频功率等关键参数的安全采集与信号调理,并在PLC程序中实现了启停顺序控制、故障联锁保护以及数据通信管理。
