GSAW 2013: Doing More With Less Session 10: Automation

Transcription

1 National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California Achieving Lights-Out Operation of SMAP using Ground Data System Automation GSAW 2013: Doing More With Less Session 10: Automation March 20, 2013 Antonio Sanders, Project GDS Engineering Group Jet Propulsion Laboratory Copyright 2013 California Institute of Technology. Government sponsorship acknowledged. Published by The Aerospace Corporation with permission.

2 Agenda Introduction SMAP Automation Strategy SMAP Automation Patterns SMAP Automation Architecture SMAP Pass Automation Example SMAP File Notification Example Summary 2

3 Introduction The Soil Moisture Active Passive (SMAP) mission is a first tier mission in NASA s Earth Science Decadal Survey. NASA s Jet Propulsion Laboratory (JPL) as been selected as the lead center for the development and operation of SMAP. JPL has an extensive history of successful deep space exploration. JPL missions have typically been large scale missions with significant budget. SMAP represents a new area of JPL focus towards low cost Earth science missions. The operation of SMAP requires more routine operations and support for higher data rates and volumes than have been achieved in the past. These challenges must be addressed by a reduced operations team and support staff. To meet these challenges, the SMAP ground data system (GDS) provides automation that will perform unattended operations. SMAP represents the first JPL mission that will utilize a lights-out approach for routine operations. 3

4 SMAP GDS Automation Strategy The SMAP GDS team is applying the following strategy to achieve reliable lights-out operations of the SMAP mission Leveraging of core JPL multi-mission GDS capabilities Leveraging of architecture from prior JPL Earth Science missions Application of test-as-you-fly principles throughout the GDS lifecycle Automation hooks for manual operations processes GDS system monitoring 4

5 SMAP GDS Automation Patterns The SMAP GDS team has identified the following automation patterns that are sufficient to address the SMAP automated operations use cases: Pass Driven Automation Utilizes a Pass Automation Daemon to provide automation of unattended tracking passes File Driven Automation Utilizes a File Notification Service to provides file detection, notification, and workflow automation for files deposited into the SMAP mission file system Time Driven Automation Utilizes a generic Automation Scheduler to provide workflow automation driven by user-specified schedules 5

6 SMAP GDS Automation Architecture File Notification Service Dictionary Frames from Station Engineering Processing Scripting Engine Query Tools Display Mission File System Database System Monitoring Message Bus Pass Automation Daemon Mission Data Processing and Control System 6

7 SMAP Pass Automation Example Auto Radiation Directory Cmd file Mission File System Security Service Mission Data Processing/Ctrl (command file selection) CMD Metadata DB info accessible via user query DB pass list File Read/Write Data Stream 1 Pass Automation Daemon HTTP Cmd file Command Processing and Delivery (Establishes station connections Store command file and meta data Extracts CLTU from command file) Associated Metadata Command file contains immediate commands, sequences, or file loads Auto-radiated commands are used for S-band retransmission, onboard data management, and ephemeris updates CLTUs with CDH NEN/SN TCP/IP CLTUs 7

8 SMAP File Notification Example Recorded Engineering Processing File Notification Service [invoke] Ground Station Insync Transfer Frames of recorded EHA and stored products (VC1) Mission File System VC1 frames Database recorded EHA product stored product Recorded EHA product query,results frames,chans,pkts,evrs Tlm Processor pkt extraction product creation Tlm Processor channel extraction channel extraction channel derivation DN/EU conversion EVR extraction alarm checking alarm/evr notification Query Tools query, results stored product product specific processing output Product Specific Processing 8

9 Summary The approach used in the SMAP ground data system to provide reliable, automated capabilities to conduct unattended operations has been presented. The impacts of automation on the ground data system architecture were discussed, including the three major automation patterns identified for SMAP and how these patterns address the operations use cases. The architecture and approaches used by SMAP will set the baseline for future JPL Earth Science missions. 9