外文翻譯--在核聚變實(shí)驗(yàn)中的遠(yuǎn)程控制仿真平臺(tái)

1、Fusion Engineering and Design 71 (2004) 269–274Simulation platform for remote participants in fusion experimentsE. Barreraa, M. Ruiza, S. Lópeza, J. Vegab, E. SánchezbAbstractOne of the major challenges in remo

2、te participation in fusion experiments is the control from remote locations of the data acquisition and treatment process. In an optimum situation, the remote researcher should be able to control the data acquisition con

3、figuration parameters, and data processing, specifying the results that must be returned to him. The simulation platform presented here, allows the researcher to develop and test complex algorithms in a high level graphi

4、cal language (LabVIEW), which includes powerful data processing libraries. These algorithms will be downloaded later into the data acquisition system. Furthermore, the platform allows the simulation of hardware data acqu

5、isition, which include the following points: (a) simulation of channel configuration from one or several data acquisition cards (channels used, sample frequencies, etc.), (b) generation of buffered simulated data (it is

6、also possible the use of raw data, acquired in previous experiments, as simulated data), and (c) reproduction of hardware behavior (except, of course, in terms of real time behavior and real data). For this purpose, Virt

7、ual Instruments (VIs) libraries written in LabVIEW will be provided to the remote developers. These VIs will be replaced later, in the data acquisition system, by their homologous VIs that actually interfaces with the ha

8、rdware. This facility will allow remote researchers to verify the correct behavior of their own data processing algorithms before downloading them into the data acquisition system. Keywords: Remote participation; Simulat

9、ion; Data processing; Code testing; Fourth generation language1. IntroductionThe development of a remote participation system is one aim of the recent TJ-II 附錄 A 外文資料翻譯A.1 外文acquisition, the beginning of the simulation,

10、the reading of data and the release of the used resources, respectively. Each one of them is independent and runs in a parallel way with the others. The communication and synchronization between the modules is done using

11、 global variables which access is controlled by semaphores.The configuration of the simulator requires the following operating parameters ：● Definition of the number of channels, buffer size and sampling rate.● Definitio

12、n of a data base that contains the users’ identifiers (ID) and which channels are associated to each one of them. The simulator works in a multi-user way, this makes it necessary to define which channels are being used b

13、y each user program that interacts with the simulator. This is described more deeply in Section 2.2.● Definition of the type of signal that will be used in each channel. The simulator is able to generate nine different s

14、ignals: sine, square, triangle, sawtooth, periodic random noise, Gaussian white noise, uniform white noise, formula (this option allows for the possibility of generating a signal from a mathematical expression) and file

15、waveform (this option allows the possibility of generating a signal from the data stored in a file, which could allow the simulator to work with data taken form previous acquisitions). ● Definition of the parameters of t

16、he signal associated to each channel. According to the type of signal, it will be necessary to define some of the following parameters: frequency, offset, phase, standard deviation, formula, path (for file waveform), amp

17、litude, increase amplitude (this parameter indicates whether the signal’s amplitude should be increased with time or not) and increase (factor in which the signal’s amplitude should be increased).Once the simulator has b

18、een configured, it remains ready to communicate with the users applications that have been developed using the utilities library that was offered.2.2 Utilities libraryThe utilities library provided to the user has been

19、developed using a similar methodology to that used in the data acquisition libraries supplied by LabVIEW. This library is made up by high-level modules that offer a great transparence in the behavior of the system to t