1/12 A. Luchetta 17 th Real-Time Conference, 25 May 2010, Lisboa, Portugal. Data Acquisition in the...

A. Luchetta 17th Real-Time Conference, 25 May 2010, Lisboa, Portugal. 1/12

Data Acquisition in the ITER Ion Source ExperimentData Acquisition in the ITER Ion Source ExperimentAdriano Luchetta, Gabriele Manduchi, Antonio Barbalace, Anton Soppelsa, Cesare Taliercio

Consorzio RFX – Euratom-ENEA Association, Padova, [email protected]

SummarySummary

Introduction

Requirements

Software frameworks

EPICS/MDSplus integration

Real-time performance

Conclusions

CAD view of SPIDER Vessel


Introduction (1) - Context

Tokamaks require additional heating to reach fusion-relevant parameters, as ohmic heating is limited by instability at a given toroidal magnetic field value.

Additional heating adds controllability:Plasma rotation, current profile controlMHD instability control

Additional heating is provided by: Radio Frequency coupled to plasma

(ion and electron cyclotron, lower hybrid)

Heating HHeating H00/D/D00 Neutral Beams Neutral Beams (HNB) injected into plasma neutral to reach plasma core without magnetic deflection

ITER will have #2 HNBs Injectors with option for 3.

Fig.1. JET toroidal chamber.


Fig.2. CAD view of ITER HNB.

Introduction (2) - Neutral Beam Test Facility

Required parameters for ITER HNBs are well beyond achievements in devices developed so far.

To develop full-size HNB and test it up to maximum performance, ITER approved construction of ad-hoc Neutral Beam Test FacilityNeutral Beam Test Facility

H° D°

Beam Energy 1MeV 1MeV

Beam Power 16.5MW 16.5MW

Beam-on time 3600s 3600s

Table I. Main parameters of ITER HNB.

It is under construction in Padova, Italy, and will comprise 2 test-beds Full-size Ion Source – op. 2013Full-size Ion Source – op. 2013

Called SPIDERCalled SPIDER

Full-size HNB ITER CODAC compatible


Introduction (3) – Ion Source Experiment

Fig.3. Operating principle of SPIDER. Fig.4. CAD view of SPIDER.

6m

4m

Wat

er-c

oo

led

Bea

m-d

um

p Unit H D

Beam energy keV 100 100

Maximum Beam Source pressure Pa <0.3 <0.3

Uniformity % ±10 ±10

Extracted current density A/m2 >355 >285

Beam-on time s 3600 3600

Co-extracted electron fraction (e-/H- or e-/D-) <0.5 <1

Table II. Main parameters of SPIDER.


Data Acquisition Requirements (1)SPIDER Diagnostics

Description Measurement(s)

Thermocouples Temperature

Electric Measurements Voltage, current, power

Calorimetry Coolant flow, temperature, pressure, thermal power

Electrostatic Probes Electron temperature and density

Source Spectroscopy Source plasma parameters

Beam Tomography Beam position, shape, uniformity

Beam Spectroscopy Beam uniformity, beam divergence, stripping losses

Cavity Ring Down Spectr. Ion source H- density

Neutron/X Ray Diagnostics Neutron flux and X-Ray

Instrumented CalorimeterInstrumented Calorimeter Beam uniformity and divergence (limited up to 10s)Beam uniformity and divergence (limited up to 10s)

Diagnostics Imaging Visible beam images and beam dump temperature

Table III. SPIDER Diagnostics Systems.


Data Acquisition Requirements (2) - Quantity

Day (25% duty) cycle)

GB 692Week (4 days) TB 2.77

Year (40 weeks) TB 110.79

Period Unit Data

Table V. Estimated data amount.

Table IV. Channel number and estimated data throughput.

Data Class Sampling rate

Chan.No.

Unit Throughput Beam dump

ThroughputInstr. Calor.

PLC-based ≤ 20 S/s 136 kB/s 2.02 2.02

Continuous ≤ 20 kS/s 649 MB/s 3.11 3.23

Event-driven ≤ 10 MS/s 74 MB/s 1.14 1.14

Burst ≤ 100 MS/s 1 MB/s 3.00 3.00

Diagn. Images ≤ 150 fps 76 MB/s 88.93 121.07

TOTAL 936 MB/s 96.18 129.07


Software Frameworks (1)

Control & data acquisition will be implemented by open source, collaborative software frameworks: EPICSEPICS for control (ITER-driven)(ITER-driven) MDSplusMDSplus for data acquisition

MDSplus is a set of data management tools: Data acquisition system (hardware configuration, data read-out)

Remote data access system

Data visualization and analysis system

data available via FORTRAN, C, C++, Java, idl, matlab, visual basic, labview, php, pythondata available via a unified object model in python, java, c++, matlab

Data archival system based on a shared record store (pulse file)

Hierarchical; Simple APIDoes not distinguish between classes of data (python-like)


Software Frameworks (2) - MDSplus

There have been over 8000 downloads of MDSplus installation kits

Sites using complete MDSplus system: TCV (EPFL - Switzerland), RFX (Euratom/ENEA - Italy),RFX (Euratom/ENEA - Italy), Heliac (ANU - Australia),MST (U.

Wisconsin), HIT, TIP, TCS and ZAP (U. Washington), PISCES (UCSD), CHS (NIFS - Japan), LDX (MIT), HBT-IP and CTX (Columbia U.), Alcator C-Mod (MIT)

NSTX (PPPL) and KSTAR (NFRI - S. Korea) use MDSplus and EPICSNSTX (PPPL) and KSTAR (NFRI - S. Korea) use MDSplus and EPICS..

Sites using MDSplus remote data access: JET, ASDEX-Upgrade, Tore Supra, DIIID

Physics codes EFIT, TRANSP, GS2

Integrated Tokamak Modeling Task (EFDA)

ITPA collaborative data archivesFig.5. MDSplus sites.


EPICS/MDSplus integration (1)

We want a high level of integration between EPICS and MDSplus. New MDSplus-based EPICS Channel ArchiverEPICS Channel Archiver (JCA-based).

Data Access Time

0

50

100

150

200

250

300

350

400

500 1000 1500 2000 2500 3000 3500 4000

N. of samplesAc

cess

tim

e (m

s)

'RPC XML'

mdsip

See G. ManduchiPoster PCM-16Poster PCM-16

Fig. 6. Remote data access timeto EPICS and MDSplus archivers.

Table 6. Percentage of lost samples inEPICS Channel Archiver.

Number of PVsCALC - 10 Hz Lost Samples %

2000 0.0374000 7.66000 358000 45

10000 54

2.4 GHz quad-core Linux workstation 4 GB RAM and SATA disk controller


EPICS/MDSplus integration (2)New EPICS Records mdsput provides direct storage of EPICS IOC

data into MDSplus-based Channel Archiver.

mdsaction allows to command ‘Mdsplus Mdsplus actionsactions’ by an EPICS IOC.

MDSplus actionsMDSplus actions execute operations.

INIT methodINIT method: reads set-up information from pulsefile and configures hardware.

STORE methodSTORE method: reads samples from ADC and stores them into pulse file.

mdsevent implements reception of ‘MDSplus events’ (asynchronous communication).

MDSplus events can also carry data.

Channel Access Server for MDSPlusChannel Access Server for MDSPlus

PV

mdsactionmdsaction INIT

ST

OR

E

mdseventmdsevent(UDP)(UDP)

Channel Archiver (CAC)Channel Archiver (CAC)Channel Archiver (CAC)Channel Archiver (CAC)

Ch. Access

mdsip (TCP)

Fig. 7. EPICS and MDSplus data flow.

ADCADCADCADC

MDSplusMDSplusMDSplusMDSplus

CASCASCASCAS

MDSplus Pulse FileMDSplus Pulse FileMDSplus Pulse FileMDSplus Pulse File

mdsputmdsput

EPICS IOCEPICS IOCEPICS IOCEPICS IOCwavewave


Real-time Performance (1)

Measurements on real-time (RT) performance of EPICS and the latency ‘fingerprint’ of Linux k.2.6 and RT patches (tollerable latency: a few hundreds s).

Fig. 8. Measured latency values.

Reference applicationMARTeEPICS

Reference application +EPICS XMARTe *

test 1 kHz

Latency (s)

Occurrence graphbin width 0.1 s

Fig. 9. Sample application.

Performance See A. BarbalacePoster PFE-13Poster PFE-13

MARTe See A.C. NetoPoster PFE-4Poster PFE-4

NI6255x86 Intel Core 2 Duo 2.66GHz

3MB cache and 3GB RAMLinux 2.6.29.6 rt-24


Conclusions

Requirements of SPIDER data acquisition are not trivial due to the long duration of the SPIDER beam-on time, the large data amount and, finally, the real-time constraints.

System software architecture will rely on the integration of EPICS and MDSplus, for which specific tools have been implemented and profiled, such as the MDSplus Channel Archiver, interface EPICS records and, in progress, the MDSplus Channel Access Server.

The real-time characteristics of EPICS and Linux kernel 2.6 with real-time patches satisfy the real-time requirements of the SPIDER data acquisition and fast real-time control.

Thank you for your attention.Thank you for your attention.

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