NDGeospatialSummit2022 - KEEPING IT FRESH: ASSET COLLECTOR FOR ND STATE PARKS
•
0 likes•3 views
This document outlines a project to develop an asset management system for North Dakota state parks. The goals are to improve park and trail planning, inventory assets more accurately, and inform maintenance decisions. A team will collect data on park assets using mobile devices and GIS software. They will work with state staff to define the needed data fields and develop a geodatabase schema. Field teams will then collect location and attribute data for park features. The final product will be a geodatabase and web application to store and share asset information internally and with the public. Keys to success include piloting the process, optimizing field time, and having open communication between the project team and state staff.
Report
Share
NDGeospatialSummit2022 - KEEPING IT FRESH: ASSET COLLECTOR FOR ND STATE PARKS
- 1. September 14, 2022 North Dakota Parks and Recreation Department KEEPING IT FRESH: ASSET COLLECTOR FOR ND STATE PARKS
- 4. PROJECT GOALS ➢ Master park and trail planning ➢ More accurate inventory of park assets ➢ Inform operation and maintenance decision making ➢ Share assets with internal staff and public ➢ Collect as much data as possible within budget allocated
- 6. PEOPLE INVOLVED Brian Fisher Principal in Charge Dave Kirkpatrick Project Manager Thomas Moore Field Collection / Data schema Chad Nunemacher Web Development Lead Andrea Travnicek Director Jolene Rieck Chief of Planning & Programs Gordon Lemmel Parks Planner Ryan Gardner West Regional Manager Justin Robinson East Regional Manager Christine Dirk GIS Specialist
- 8. DATA NEEDS ➢ Where and how should the data be stored? ➢ What GIS layers are needed for park asset collection? ➢ How should the GIS data be propagated? ➢ What fields/field types are needed for each layer? ➢ What fields required domains(drop-downs)? ➢ What relationships are needed between layers? ➢ How should photos be handled?
- 9. DATA NEEDS ➢ Reviewed NDPR Asset Management ➢ Go Anoka Park App Schema leveraged as schema development starting point ➢ Discussions went back and forth between HEI and ND Parks Staff until Schema was finalized ➢ X-Ray Used for Schema Development and Finalized Schema Export
- 10. Field Data Collection ➢ In-Office analysis was first to see what augmentation was needed in the field ➢ Plan logistics – Safety protocol ➢ Get an idea of what needs to be collected ➢ Add data to feature classes ➢ Each park had unique situations ➢ Network coverage, occupancy, new feature types ➢ On the fly adjustments had to be made in the field ➢ In-field collection was used to supplement the missing elements and feature not clear in office analysis ➢ Collect features not found on CAD, plans, maps ➢ Add attributes ➢ Add photos ➢ Post field collection process was used to finalize park features and attributes ➢ 41 feature classes ➢ 250+ attributes
- 11. Final Product - Geodatabase ➢ In-Office analysis was first to see what augmentation was needed in the field ➢ In-field collection was used to supplement the missing elements and feature not clear in office analysis ➢ Collect features not found on CAD, plans, maps ➢ Add attributes ➢ Add photos ➢ Post field collection process was used to finalize park features and attributes
- 12. Technology
- 15. Mobile Technology – R1 | iPad | Collector BENEFITS: OS Agnostic - IOS, Android No custom programming Industry standard Familiarity HEI and ND Parks Greater Accuracy than Ipad internal antenna External Antenna can be extended for better signal SBAS Corrections with 4GLTE < 3ft Bluetooth connection to Ipad
- 16. Workflows & Migration HEI Pilot Workflow Migration From HEI to NDIT FGDB (SQL) Final Workflow
- 17. Post Migration
- 19. ➢ Piloting the data collection process on one park ➢ Matching HEI staff interest to project needs ➢ Optimizing field time by focusing on data collection of assets and attributes that couldn’t be completed in-office ➢ Open dialog with state staff / checkin meetings before and after each park ➢ On the fly adjustments ➢ Maximizing COTS for data collection framework Keys to a Successful Project