Managing and Analyzing Integrity Data with APR and Enterprise Geodatabases

Transcription

1 Managing and Analyzing Integrity Data with APR and Enterprise Geodatabases Dr. Otto Huisman, PMP Manager Products and Services (Worldwide) ROSEN Germany

2 Every integrity assessment can be represented by a Process that receives data and generates new information. Data Management ->Integration -> Analysis -> Decision ->

3 IM Processes

4 IM Processes Risk Models comply with national and international standards All Records are traceable, verifiable, complete Full visibility how an assessment was performed and what factors were considered Ability to show full history of inspections incl. NDE and repairs as a result

5 IM Processes

6 The Framework for Decision Support What s required: (Analytic) Processes in the form of best practices defined by the industry People that execute the work and apply engineering judgement as part of the decision making A Platform to define and execute Integrity-relevant processes

7 A Platform for Data Management and Analysis Analytics ETL External files

8 Integrity Data INTEGRITY DATA

9 Data Management Yes Geodatabase? No Yes Feature Class? No Spatial Data Storage? Coordinates Database Platform Database Platform Database Platform Database Platform SQL Oracle PostgreSQL SQL Oracle PostgreSQL PostgreSQL Any Open Source Relational Geometry SDE Binary ST_Geometry SDO_Geometry SDE Binary ST_Geometry PostGIS Geometry Geometry ST_Geometry SDO_Geometry ST_Geometry PostGIS Geometry ST_Geometry PostGIS Geometry OGC WKT RDMS Supported Spatial Type OGC WKT OGC WKT

10 Populating the system of record? Data integration issues: Different types of data Data sources Different technologies Tools/Technologies to aid with integration Spatial data and Relational data Validation and quality control Tracking and maintaining edits Efficiency and simplicity?

11 Title of the presentation Author Name ROSEN Group 20-Sep-2014 Slide 11

12 ILI Data alignment

13 ILI Data alignment

14 Alignment and referencing Linear or Spatial? Re-alignment? Centerline accuracy? Maintaining changes Geocoding and interpolation of survey data? How can we be sure that the quality of the inspection data that goes into the system of record is (at least) maintained?

15 Pipeline Referencing Core tables are managed by APR extension Use of calibration points to manage aligned data Time awareness provides the key to historical route management Multiple referencing systems (distance, etc). Work is ongoing

16 Data Models Legacy extensions to support APR are possible e.g. PODS Spatial flavours Decisions and data management strategy should look to the expected architectural changes around Enterprise GIS functionality Current choices are UPDM and PODS Lite, PODS v7 is still under development Regardless of the data model chosen, significant customizations are likely required to store all needed data, or links to legacy databases need to be engineered (and maintained)!

17 Title of the presentation Author Name ROSEN Group 20-Sep-2014 Slide 17

18 A Platform for Data Management and Analysis Analytics ETL External files

19 Key Take-aways Data management is a complex process, but one which has fundamental implications for the accuracy, availability and traceability of the data (and resulting calculations) throughout the enterprise Enterprise GIS are able to provide most if not all of the features required for the management of all kinds of integrity data, including time awareness and plug-and-play dashboards and apps As always there will be dynamics in the pure software market. Focus on the direct and future business needs and plan ahead!

20 Thank You! Questions and / or comments? o.huisman@rosen-group.com