1. Integrated Trending and Plotting System (ITPS) Haim Brumer / Honeywell-TSI

2. ITPS - Introduction Purpose:
Acquisition, compilation, storage, extraction and analysis of SDO housekeeping telemetry data.
Usage:
Gives FOT access to full resolution archive of all housekeeping data points (mnemonics).
Reduced resolution statistical archive serves as basis for trend determination.
Generation of reports, plots and tables using precise analysis and mining capabilities.
Key Features:
Complete end-to-end automation reduces FOT burden
Web access gives remote authorized users access to ITPS.
GOTS:
First developed on behalf of Landsat 7 and SOHO,
Trending solution for Landsat 5, Landsat 4 (historical data), Wind, POLAR, ST-5, LRO, TRMM, GLAST, Landsat 7, JWST (prototype)

3. ITPS – Data Interfaces

4. ITPS Features Data analysis and trending Reports and plots
Automation allows complete hands-off operation
Flexibility / modularity
User-friendly interface

5. System Architecture Full resolution telemetry data Standard components
Inexpensive hardware
Reuse of existing code (>95%)
Familiar interface

6. Data Sources Full Resolution Life-of-Mission
Real-Time / Playback / I & T / post mission
Automatic acquisition of new telemetry
Reduced-resolution telemetry statistics
Multiple PDB Version Support
Correlated with Flight Dynamics Data
Imported / External Data

7. Automation End-to-End Telemetry acquisition
Flight dynamics data acquisition and ingestion
Telemetry ingestion
Automated daily products generation
Analysis / Plotting / Reports
Long-term trend production

8. Data Extraction Mission PDB-based extraction High-precision filtering
Pseudo (derived) mnemonics
Orbital events
PDB limit violation detection (reports, plots)
Product export

9. Plots Mnemonic vs. time Mnemonic vs. mnemonic
Flexibility in extraction
Customization of plots
Limit violation data
Part of automation
Built on COTS and GOTS

10. Reports Mnemonic value tables Statistics Data quality Data gap
Mnemonic change (delta)
Limit violation
Part of automation
Can use pseudo-mnemonics

11. Lifetime Trend One time decom extraction Automated generation
Statistics by day, hour, orbit
Flexibility (selectivity)
Speed in extraction
Unlimited mnemonics

12. Pseudo (Derived) Mnemonics
Mnemonic components
Arithmetic functions
Trigonometric Functions
Logical evaluation
Nested
Filtering
Reports
Plotting
Lifetime trend
AND, XOR, NOT, OR,
ARCSIN, ARCTAN2, ARCTAN, ARCCOS,
SIN, COS, TAN, DELTA,
LN, LOG,
UNSIGNED, ABS,
AVGTIME, AVGPOINTS,
"( )“, "+“, "-“, "/”,
"*“, "^“, "&“ (BITAND), "$“ (BITOR)
">>“, "<<“,
"!=“, "<=“, "<“, ">=“, ">"
"="
","

13. Web Features Multiplies simultaneous access Reduces burden
Login protection
Encryption
Priorities
Lights out support

14. ITPS - User Interface – Main Interface

15. ITPS - User Interface – Sample Plot

16. ITPS - User Interface – Web Plot

17. ITPS - User Interface – Report (MOC & Web)

18. ITPS – Tool: Mnemonic Browser
Access to all available mnemonics
All mnemonics info (from mission PDB)
Regular expression searches (by name and description)

19. Demonstration Creation of IDF Mnemonic Browser Plot generation
Introduction of filtering
Report generation
Extraction of LTT data
Generation of Pseudo-mnemonic
Web access