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Robotization at DC and its pre-requisites

K.G. Strassmeier, AIP. Robotization at DC and its pre-requisites. Language definition. Robotization = an integral systems- engineering approach. „ integral “ = science goal → environment → technology → → calibration process → operations model → data storage →

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Robotization at DC and its pre-requisites

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  1. K.G. Strassmeier, AIP Robotization at DC and its pre-requisites

  2. Language definition Robotization = an integral systems- engineering approach „integral “ = science goal → environment → technology → → calibration process → operations model → data storage → → data transfer → analysis tools „systems engineering“ = combines Optics, Mechanics, Electronics and Software. Optomechatronsoftics.

  3. Language definition • Computerization • all active components are under one-way computer control (receive a command) • all passive components also remain passive (e.g. mount alignment, telescope focus) • execute commands upon arrival • Remote control • some active components are under two-way computer control (receive and acknowledge commands) • all passive components also remain passive (e.g. no feedback from e.g. bandwidth control) • execute commands upon arrival • Automation • all active components are under two-way computer control (receive and acknowledge command) • input of „hard“ facts (e.g. „sun below horizon“, environmental status „ok“, „target above horizon“) • execute commands from target scheduler (usually just a script or timeline) • Robotization • all active components are under n-way computer control (receive and acknowledge command .and. • concert action with system status; e.g. do not attempt to observe target X if focus position is Y) • all passive components are under n-way computer control (e.g. a mount alignment receives and • acknowledges commands .and. provides permanent status .and. may take action) • execute commands from „intelligent“ scheduler (e.g. dispatch) Human operator

  4. Robotics concept of STELLA STELLA Control System (SCS): Granzer et al. (2004), AN

  5. Need Infrastructure !

  6. Pre-requisites for Robotization • Un-interrupted and clean power supply • System-status knowledge at any time • System re-start procedure and hardware safe mode • Reliable intra-networking between active components • Environmental-status knowledge at any time • Data flow from detector to storage computer • Data transfer to local mass-storage medium • Data storage and pre-processing; back-up facility • Data reduction pipeline and transfer to analysis • computer

  7. Un-interrupted and clean power supply Most realistic choice: central power supply, decentral UPS and filters Projects/Observatories Concordia • AC filter • transformer if needed • UPS tailored to project needs • (Ni/Cd battery banks, • Li batteries, Hydrogen cells ... ) • Diesel-driven generators • decoupled from life-support • system • backup generator • power grid

  8. System-status knowledge at any time ... • Two principal levels: • From sensor to local control and data-acquisition computer(s) • From 1. to „home“ system (=scientist at home institution) • Ad 2:Requires ... • Small-bandwidth satellite conn. • (or) Iridum phone „dial in“ • Ad 1:Requires ... • GPS signal • local 1-GB ethernet • (+ switches, repeaters, fibers...) • network maintenance • backup system • (e.g. micro-wave backbone)

  9. System re-start procedure and hardware safemode parking („orderly shutdown“) • Most vulnerable components: • SCSI-connected components like tape robots, RAIDs … • Ethernet-connected peripheral components • Serial components, e.g. monitor not recognizable because „dead“ • Controllers give wrong status because of previous power failure • Encoder zero points get srewed up after power failure Possible solutions: Save storage of reference set ups on independent boot hardware. Engage a self-calibration procedure. Engineering console easily reachable.

  10. Environmental-status knowledge at any time Weather data must be known in (near) real time Argentini 2006

  11. Environmental-status knowledge at any time

  12. Reliable intra-networking between local computers • Ethernet (fiber vs. twisted pair) • RS232/486 • Ad 1: • Requires switch, repeat. • Temperature sensitive • Power over ethernet • high bandwidth • Ad 2: • direct connector, no hubs • low bandwidth • robust • but remote boot problem if • too slow

  13. Data flow from detector to computer e.g. from ICE-T CCD to computer hard disk: 2x112Mpx CCD: 2x225 MB/image Integration time: 10 sec Read-out-time: 6.4 sec with 50% safety: transfer in 5 sec, then acknowledge Requires: 45 MB/s or 450 Mbps 100Base TX Ethernet link not sufficient

  14. Data transfer to local mass-storage medium What speed is needed? e.g. ICE-T: 450 MB/16.4sec = 27 MB/s 2x loss-less compression: 14 MB/s HP Storageworks Ultrium 960 SCSI, 80 MB/s for 400-GB SDLTs But 512-GB SDLT tapes needed If tape writing fails, one looses data after approx. 48 hours

  15. Data storage and pre-processing; data back-up facility Pre-processing leads to level-2 data. Store only level-2 data? e.g. ICE-T: Combine always 30 CCD frames Keep only „Master flat“ Rules out certain additional sciences! Solution would be to store level-2 data as backup or transfer it via a satellite link.

  16. Conclusions/Suggestions • Concordia to provide stable power • Recommend a central data-backup facility • Concordia to provide local ethernet at the Gbit level • Need real-time environmental data (e.g. wind, ice) • Concordia to define standards before each project produced their • own (i.e. now), e.g. computer hardware, network switches etc. • Projects to provide their own dome, cabling etc. • Projects to provide their own UPS and filter/transformer systems • … and, finally, projects provide human-independent operations • („the more robotic the more likely you get data“)

  17. WorkShop Antarctic Research: a European Network in Astrophysics Telescope and Instrument Robotization at Dome C 26.-29.3.2007 Puerto Santiago, Tenerife www.aip.de/arena_robot SOC: A. Allan (U. Exeter), M. Ashley (UNSW, Sydney), M. Candidi (IFSI/CNR, Rome), J.-B. Daban (LUAN, Nice), E. Fossat (LUAN, Nice), A. Herber (AWI, Bremerhaven), R. Lenzen (MPIA, Heidelberg), E. Martin (IAC, LaLaguna), I. Ribas (IEEC, Barcelona), P. Salinari (INAF, Firenze), K. G. Strassmeier (AIP, Potsdam, chair), J.-P. Swings (IfAG, Liege), G. Tosti (U. Perugia)

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