Integrating Survey123 and R&H Data Using FME
West Virginia Department of Transportation (WVDOT) actively engages in several field data collection initiatives using Collector and Survey 123. A critical component for effective asset management and enhanced analytical capabilities is the integration of Geographic Information System (GIS) data with Linear Referencing System (LRS) data. Currently, RouteID and Measures are not captured in Survey 123. However, we can bridge this gap through FME Flow automation. When a survey is submitted through Survey 123 for ArcGIS Portal (10.8.1), it triggers FME Flow automation. This process uses a customized workbench that interacts with a modified version of Esri's Geometry to Measure API. The result is a JSON response that includes RouteID and Measures, which are then applied to the feature service record.
Integrating Survey123 and R&H Data Using FME
- 1. Integrating Survey123 and R&H Data Using FME West Virginia Department of Transportation The Peak of Data and AI 2025
- 2. 2025 The Peak of Data and AI Reshma Joy GIS Program Analyst III WV DOT Margaret Smith Program Analyst I WV DOT
- 3. 1. Introduction 2. Workflows 3. Demonstration 4. Going Forward Agenda
- 5. 2025 The Peak of Data and AI Purpose To show how FME Flow Automation integrates Survey123 field data directly with an existing Linear Referencing System (LRS).
- 6. 2025 The Peak of Data and AI Existing Workflow ● Challenges in the Existing Data Collection Workflow ○ Multiple platforms to maintain data ○ ArcGIS Portal authentication issues
- 7. 2025 The Peak of Data and AI FME-Driven GIS Integration ● Key Components ○ ArcGIS Portal Feature Service ○ Survey123 Inspection Form ● Powered by FME ○ Webhook via FME ○ R&H Geometry to Measures API ○ FME Workbench for automating LRS data integration
- 9. 2025 The Peak of Data and AI Webhooks Event-driven mechanism that sends data when specific action occurs. Survey123 submitted FME Flow Automation to process JSON response Webhook Request with payload Event Response
- 10. 2025 The Peak of Data and AI Data Driven Workflow for MS4 Project (Municipal Separate Storm Sewer System Project) Apply Edits API MS4 Feature Service Survey123 Inspection Form Dashboard App Web App Non-Editable Feature Service Summer Interns Environmental Coordinators Environmental Coordinators Supervisors, Managers, etc. WV DEP US EPA, Public, etc. Esri’s G2M API RH LRS Revised G2M API FME Flow Automation Survey123 Webhook (Feature Attribute in JSON) Portal for ArcGIS
- 11. 2025 The Peak of Data and AI FME Flow Automation for MS4 Data
- 15. 2025 The Peak of Data and AI Future Plans ● Implement Data Validation Processes ● Enable Automated Reporting ● Apply Integration for Other Data Collection Projects
- 17. 2025 The Peak of Data and AI ThankYou Margaret M. Smith margaret.m.smith@wv.gov Reshma Joy reshma.joy@wv.gov WV DOT