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GDYNIA MARITIME UNIVERSITY DEPARTMENT OF SHIP OPERATION K... SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski – presenting author

SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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Page 1: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

K...GDYNIA MARITIME UNIVERSITYDEPARTMENT OF SHIP OPERATION

K...

SMC DECISION SIMULATOR

Jarosław SoliwodaPiotr Lizakowski – presenting author

Page 2: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SAR computer aided systemSMC decision assesment and training 

R&D Project NR10‐0005‐04/2008

2

AIM:  SMC Decision making research

AREA: SOUTH BALTIC (POLISH SEARCH RESCUE REGION)

BASE:  Maritime Safety Information Exchange System

TECHNICAL REALIZATION AND IMPLEMENTATION:

SPRINT Sp. z o.o.

Page 3: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SOFTWARE BASEMaritime Safety Information Exchange System

3

Page 4: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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Technical implementation

4

Page 5: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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AREA

5

NASA Visible Earth gallery

Page 6: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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WEATHER SIMULATION

METEO 

ACTUAL WEATHER

FORECAST

WEATHER CHANGES

WIND

SEA CURRENT

6

VISIBILITY

Page 7: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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7

HYDROMETOROLOGICAL DATA

WIND

SEA CURRENT

TIME

VISIBILITY

Page 8: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SEARCH OBJECT SIMULATION ‐ SO

SO MOVEMEMENT

LEADER 

SO MOVEMENT PARAMETERSIAMSAR

SURVABILITY

8

SO CATEGORYSO QUANTITY

SO CHARAKTERISTIC

Page 9: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SO SIMULATION ‐ SURVABILITY 

0,00

5,00

10,00

15,00

20,00

25,00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52

Temperatury wody Średni czas przeżycia

BALTIC SEA WATER TEMPERATURE 9

RANDOMIZE OF SURVABILITY

WATER TEMPERATURE

MEAN SURVABILITY TIME

Page 10: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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No ballast, no canopy, no drogue, (±25°) [0.25 kts]

No ballast, canopy unknown, drogue unknown, (±30°) [0.35 kts]Aviation (4-6 persons) w/o drogue (±25°) [0.1 kts]

Life capsule - fully enclosed, (±20°) [0.1 kts]

Deep ballast, (±15°) [0.2 kts]Shallow ballast with no drogue (±20°) [0.1 kts]or unknown drogue (±20°) [0.35 kts]No ballast, with canopy and drogue (±30°) [0.35 kts]Aviation (46 person) Evac/Slide (±15°) [0.1 kts]

Sea rescue kit, (±5°) [0.1 kts]Shallow ballast with drogue (±20°) [0.1 kts]

PIW: Survival suit, (±30°) [0.1 kts]or deceased (+30°) [0.25 kts]

Shallow ballast, capsized (±10°) [0.1 kts]

PIW: Position/survival gear unknown, (±30°) [0.35 kts]

Deep ballast, capsized/swamped, (±10°) [0.1 kts]PIW: Scuba suit(+30°) [0.15 kts]

PIW: Vertical, (±20°) [0.25 kts]

Wind Force (Beaufort Scale)0 1 2 3 4 5 6 7

2

1.5

1

0.5

00 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34

Leew

ay (

kts)

Wind Speed (kts)

Life rafts, Survival Craft and Persons in the Water (PIWs)

SO MOVEMENT SIMULATION

IAMSAR RESEARCH

Y

Oś X

Vtr [węzły]

Vw [węzły]

0,2

0,4

0

0,6

0,8

1,0

1,2

1,4

1,6

4 8 565248444036322824201612 6460

Tratwa 20 osobowa – 2 osobyTratwa 20 osobowa – 20 osóbTratwa 10 osobowa – 1 osobaTratwa 10 osobowa – 10 osóbTratwa 6 osobowa – 1 osobaTratwa 6 osobowa – 6 osób

Siła wiatru - Skala Beaufort

1 2 3 4 5 6 7 8 9 10 11

1,8

10

SO POSITION

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SO SIMULATION

SO TYPESO PARAMETERS

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SO SIMULATION

Page 13: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SEA UNITS

SAR UNITSMERCHANT VESSELS

AIR UNITS

HELICOPTERS PLANES

SEARCH RESCUE UNIT SIMULATION

CATEGORIES

MOVEMENT PARAMETERS

QUANTITY OF OBSERVERS

SAFETY OF SRU

DETECTION

SRU CHARACTERISTIC

13

Page 14: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SRU SIMULATION

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TYPE SRUPARAMETRES

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SRU SIMULATION

Page 16: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SRU SAFETY

WEATHER CONDITION STATUS

SRU TYPE

LEADER

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NEUTRAL ACTIVE NON COMUNICATIVE DISABLED

Page 17: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SEARCH AREA PLANNING

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Total Available Search Effort (Zta) Worksheet

Case Title: Case Number: Date:

Planner’s Name: Datum Number: Search Plan: A B C

Datum Datum

(left) Latitude Longitude (right) Latitude Longitude

Search Object: Date/Time

Total Available Effort Computations 1 2 3 4 5

1. Search Sub-area Designation

2. Search Facility Assigned

3. Search Facility Speed (V)

4. On Scene Endurance

5. Daylight Hours Remaining 6. Search Endurance (T)

(T = 85% of lesser of line 4 or 5 above.)

7. Search Altitude

8. Uncorrected Sweep Width

9.Weather, Terrain Correction Factor (fw, ft)

10. Velocity Correction Factor (fv) (aircraft only)

11. Fatigue Correction Factor (ff)

12. Corrected Sweep Width (W)

13. Available Search Effort (Z = V T W)

14. Total Available Search Effort (Zta = Za1 + Za2 + Za3 + …) NM2

15. Separation Ratio (SR) (leeway divergence datums only)

(from line H.3 of the Datum Worksheet.)

16. If the separation ratio (SR) on line 15 is greater than four (SR > 4), go to the Widely Diverging Datums Worksheet. Otherwise, go to the Effort Allocation Worksheet.

EXCEL SIMULATOR

Page 18: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SEARCH PATTERN PLANNING

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Page 19: SMC DECISION SIMULATOR - IFREMER · SMC DECISION SIMULATOR Jarosław Soliwoda Piotr Lizakowski –presenting author. K... SAR computer aided system SMC decision assesment and training

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SRU SIMULATION – DETECTION OF SEARCH OBJECT

UMIEJSCOWIENIE OBSERWATORA

1.0

0.9

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

0.0

1.0

0.9

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

0.04 3 2 1 0 1 2 3 4

22

1)( wxkhO

exPOD

19

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SIMULATION

TIME

LOG FILE

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SMC RELIABILITY

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TESEO Method – influencing factors

Time stress Coordinator knowledge level

Type of activity

Coordinator reliability

Threat stress Work milieu

The main methods of fault analysis:

TESEO (Technica Empirica, Stima Errori Operatori) – empirical technique of operator’s faults estimationHEART (Human Errors Assesment and Reduction Technique), THERP, (Techniue for Human Error Rate Prediction) – determination of human errors probability in the ergonomic system,SHARP (Systematic Human Action Reliability Procedure),HCR (Human Cognitive Reliability), determines the probability of human fault (no proper action – no answer to the situation).

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/12GDYNIA MARITIME UNIVERSITYDEPARTMENT OF SHIP OPERATION

Thank you