Transition from AIS to AIM Roadmap Phase 2 –Data quality ...

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Transition from AIS to AIM Roadmap Phase 2 – Data quality monitoring Alexandre Petrovsky Technical Assistant EUROCONTROL 1 European Organisation for the Safety of Air Navigation

Transcript of Transition from AIS to AIM Roadmap Phase 2 –Data quality ...

Page 1: Transition from AIS to AIM Roadmap Phase 2 –Data quality ...

Transition from AIS to AIM

Roadmap Phase 2 – Data quality

monitoring

Alexandre Petrovsky

Technical Assistant

EUROCONTROL

1European Organisation for the Safety of Air Navigation

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Roadmap for Transition from AIS to AIM

Phase2

AIS to AIMAIS to AIM

1. Consolidation 2. Go Digital3. Information

Management

2. Go Digital

P-01 — Data quality monitoring

P-02 — Data integrity monitoring

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P-02 — Data integrity monitoring

P-06 — Integrated aeronautical information database

P-07 — Unique identifiers

P-08 — Aeronautical information conceptual model

P-11 — Electronic AIP

P-13 — Terrain

P-14 — Obstacles

P-15 — Aerodrome mapping

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What is Data Quality?

A degree or level of confidence that the data

provided meets the requirements of the data user in provided meets the requirements of the data user in

terms of accuracy, resolution and integrity

(ICAO Annex 15)

Accuracy: a degree of conformance between the estimated or measured value and the true value.

How close to reality

Resolution: a number of units or digits to which a measured How many digits

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Resolution: a number of units or digits to which a measured or calculated value is expressed and used

How many digits

after comma

Integrity: a degree of assurance that aeronautical data and its value has not been lost or altered since the data origination

or authorized amendment.

How good is the

data

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Data Quality – Why?

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Coordinates

required

Coordinates

required

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Coordinates

required

Coordinates

required

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Why high integrity data counts?

Innsbruck, RNP 0,3 approach, RNAV RWY 26

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Innsbruck, VFR

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What is Data Quality?

A degree or level of confidence that the data

provided meets the requirements of the data user in provided meets the requirements of the data user in

terms of accuracy, resolution and integrity

(ICAO Annex 15)

Accuracy: a degree of conformance between the estimated or measured value and the true value.

How close to reality

Resolution: a number of units or digits to which a measured How many digits

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Resolution: a number of units or digits to which a measured or calculated value is expressed and used

How many digits

after comma

Integrity: a degree of assurance that aeronautical data and its value has not been lost or altered since the data origination

or authorized amendment.

How good is the

data

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Monitoring Data Accuracy

0.5 m

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What is Data Quality?

A degree or level of confidence that the data

provided meets the requirements of the data user in provided meets the requirements of the data user in

terms of accuracy, resolution and integrity

(ICAO Annex 15)

Accuracy: a degree of conformance between the estimated or measured value and the true value.

How close to reality

Resolution: a number of units or digits to which a measured How many digits

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Resolution: a number of units or digits to which a measured or calculated value is expressed and used

How many digits

after comma

Integrity: a degree of assurance that aeronautical data and its value has not been lost or altered since the data origination

or authorized amendment.

How good is the

data

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ICAO Annex 15 - required Integrity Levels

? a degree of assurance that an aeronautical data and its value has not

been lost or altered since the data origination or authorized amendment.

CRITICAL

Runway threshold, runway holding position etc.

Require an integrity value of 10-8 1 error in 100 М

ESSENTIAL

Coordinates of en-route navaids, aerodrome elevation, etc.

Require an integrity value of 10-5 1 error in 100 K

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Require an integrity value of 10-5 1 error in 100 K

ROUTINE

FIR points, Aircraft stands, Airway segments etc.

Require an integrity value of 10-3 1 error in 1000

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Do we achieve Data Quality

requirements?

� Optimum ‘human processes’ achieves an error rate, at achieves an error rate, at best 1 in 1000 or 1 x 10-3

� Best case: achieve criteria for ROUTINE data, if:� Quality controlled

environment e.g. QMS

� Multiple input/control

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Monitoring Data Integrity

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What is Data Quality?

A degree or level of confidence that the data data

providedprovided meets the requirements of the data user in providedprovided meets the requirements of the data user in

terms of accuracy, resolution and integrity

(ICAO Annex 15)

Accuracy: a degree of conformance between the estimated or measured value and the true value.

How close to reality

Resolution: a number of units or digits to which a measured How many digits

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Resolution: a number of units or digits to which a measured or calculated value is expressed and used

How many digits

after comma

Integrity: a degree of assurance that aeronautical data and its value has not been lost or altered since the data origination

or authorized amendment.

How good is the

data

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AMMON – Aeronautical Information

Measurement and Monitoring

Identify inconsistenciesInform the StatesFollow up

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Follow upRemedial actionMonitor progress

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Monitoring aspect

� Despite Automatic and semi-automatic

procedures and QMS

� Main Causes of inconsistencies600

700

Nav Study Inconsistencies

Airport Inconsistencies

40Count

Part C - Statistics on potential Inconsistencies

Source : DAS/DIA/PRISME

by time

until effective date 02 August 2007

Runway Inconsistencies

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Part C - Statistics on potential Inconsistencies

Source : DAS/DIA/PRISME

by time

until effective date 02 August 2007

� Main Causes of inconsistencies

� Non-complete data supplied by the originators

� AIS errors

� Ambiguities in ICAO SARPs0

100

200

300

400

500

Critical Essential Routine Casual

Dec-04

Jun-05

Dec-05

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0

5

10

15

20

25

30

35

16-02-2006

16-03-2006

13-04-2006

11-05-2006

08-06-2006

06-07-2006

03-08-2006

31-08-2006

28-09-2006

26-10-2006

23-11-2006

21-12-2006

18-01-2007

15-02-2007

15-03-2007

12-04-2007

10-05-2007

07-06-2007

05-07-2007

02-08-2007

ROUTINE

NOT_CLASSIFIED

ESSENTIAL

CRITICAL

AIRAC_DATE

INTEGRITY

0

20

40

60

80

10016-02-2006

16-03-2006

13-04-2006

11-05-2006

08-06-2006

06-07-2006

03-08-2006

31-08-2006

28-09-2006

26-10-2006

23-11-2006

21-12-2006

18-01-2007

15-02-2007

15-03-2007

12-04-2007

10-05-2007

07-06-2007

05-07-2007

02-08-2007

ROUTINE

NOT_CLASSIFIED

ESSENTIAL

CRITICAL

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AMMON Overview

State AIP

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Reporting

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ECAC AreaECAC Area

AMMON Scope

ECAC AreaECAC Area

Critical and Essential DataCritical and Essential Data

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Availability,

completeness and

publication resolution

Availability,

completeness and

publication resolution

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Publication & Data Quality

Requirements

Which data element?Which data element?

What validation criteria?What validation criteria?

Where in AIP?Where in AIP?

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CRITICAL AND

ESSENTIAL DATA

ATTRIBUTES

ICAO ANNEX 4/15,

APPENDIX 6/7

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Example ‘RWY THR’ What to look for?What to look for?

Where to look?Where to look?

The runway threshold is a line, at right angles to

the runway centreline and extending for the full

width of the runway, established for the purpose of

identifying the beginning of the runway area that is

ICAO RequirementsICAO RequirementsPublication RequirementsPublication RequirementsQuality RequirementsQuality Requirements

identifying the beginning of the runway area that is

available and suitable for the landing of aircraft.

The determination of the exact threshold positions

for survey purposes is specified in the ICAO WGS-

84 Manual.

A threshold not located at the extremity of a

runway (due to local conditions), in other words

located at a point on the runway other than the

physical end of the runway is defined as a

displaced threshold.

Annex Annex 15 15 -- AppApp11, AD , AD 22--12 512 5

Annex Annex 4 4 -- 1313..66..1 1 ff

AIP AIP ––

AD 2.12 Runway physical

characteristics

Charts Charts ––

Aerodrome/Heliport Chart— ICAO

Unit of measurement Unit of measurement --

Latitude and longitude

AIP AIP ––

Resolution: 1/100 sec

Charts Charts ––

Resolution: 1sec

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Resolution: 1sec

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AMMON Report structure

� Part I: General

� AMMON Overview, Report

structure & Recommendations,

� Part II: Data Analysis

� Compliance with Timeliness

� Inconsistencies in AIP relating to

critical and essential data

� Trends and Statistics

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AMMON results

Based on the analysis of 41 ECAC AIP

Inconsistencies per criticality

Inconsistencies per type

Not

published

37%

Inconsistencies per criticality

Critical

21%

Essential

79%

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> ICAO

SARPS

44%

Format not

respected

5%

Not

consistent

in AIP

2%< ICAO

SARPS

12%

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Top 5 - not published

2500 Final approach descent angle

(Non-precision approach or

approach with vertical guidance)

1000

1500

2000 Instrument approach procedure fix

formations

Final approach fixes/points and

other essential fixes/points

comprising the instrument

approach procedure

Distance measuring equipment

(DME)

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0

500

(DME)

Runway end (flight path alignment

point)

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4500

5000 En-route NAVAIDS and fixes,

holding, STAR/SID points

Top 5 > ICAO SARPS

2000

2500

3000

3500

4000

4500

NAVAIDS located at the

aerodrome/heliport

Distance measuring equipment

(DME)

Terminal arrival/departure route

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0

500

1000

1500Terminal arrival/departure route

segment length

Aerodrome/heliport magnetic

variation

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1400

Top 5 < ICAO SARPS

600

800

1000

1200

Terminal and instrument approach

procedure fix formation distance

Precision approach glide path /

elevation angle

En-route NAVAIDS and fixes, holding,

STAR/SID points

NAVAIDS located at the

aerodrome/heliport

Clearway length and width

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0

200

400

Clearway length and width

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Initial findings:

SARPS ambiguities

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- App1 : 1 m or 1 ft - App7: 0.1m or 0.1ft

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Monitoring - Benefits

�States

�Comprehensive view of data issues �Comprehensive view of data issues

�Clarification of ambiguities in ICAO

requirements

�ICAO

�Proposal for changes

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�Publication End–Users

�Quality of data

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Summary

� asf� Aeronautical Data Quality – key foundation for present and future

ATM data-dependent systemsATM data-dependent systems

� Quality of information provided by AIS falls far short of the required

values

� There is a need for monitoring data quality – to bring up to ICAO

SARPS and maintain in order to support ATM target levels of safety.

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www.eurocontrol.int/aim/public/standard_page/qm_ammon.html

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EUROCONTROL

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