City of San AntonioUtilizing Advanced Technologiesfor Stormwater System Mapping

and Condition Assessments

Prepared byNoelle Gaspard, PE, GISP, CFM

Prepared for:

Agenda

• Purpose

• Project Overview

• Challenges

• Solutions

– Mobile LiDAR

– 360° Manhole Inspection with PanoramicScanner

– InfoMaster Sewer for Defect Analysis

• Questions

Purpose

Portions of the City of San Antonio storm sewer system areapproaching 100 years old and a City-wide understanding of

where the storm assets are located is incomplete.

Additionally, the condition of the existing pipes is largelyunknown and the City would like to tie all condition assessment

data to into the City of San Antonio’s GIS and Cartegraphsystem.

COSA Stormwater – Pilot Project

Project Objective: Conduct mapping and videoinspection of the storm sewer infrastructure within a 3.5square mile Pilot Area (approximately 56,000 linearfeet of storm sewer pipe) AND integrate the data intothe City’s existing datasets

• Develop Stormwater GIS database structure

• Perform field survey, CCTV and ConditionAssessment

• Integrate all project deliverables into acomprehensive GIS Database, PipeLogix databaseand Cartegraph system

COSA Stormwater – Pilot Project

Challenges: Project was approved by Council in May2015 and had to be completed by the end of the2015 Fiscal Year (September 2015)

• The existing GIS databases from the City were incompleteand many assets were not mapped or missing attributeinformation

• The accelerated timeline of 5 months, required efficientdata collection and analysis procedures to complete theproject within the outlined schedule

Pilot Area• Storm Sewer – 56,000

Linear Feet

• Inlets – 300

• Manholes – 160

COSA Stormwater – Pilot Project

Solutions: Project utilized multiple advancedtechnologies and software programs throughout eachphase of the project to efficiently map and analyzethe stormwater system, including:

• Mobile LiDAR

• 360º manhole inspections using panoramic scanner system

• InfoMaster Sewer

Project Workflow

Advanced Technologies

• Mobile LiDAR

• 360º manhole inspections using panoramicscanner system

• InfoMaster Sewer

What is LiDAR?

Light Detecting And Ranging:

• Active remote sensing technology thatmeasures distance with reflected laserlight

• Measures distance to surfaces by timingthe outgoing laser pulse and thecorresponding returns.

• Distance = time*(speed of light)/2

• By keeping track of the angle at whichthe laser was fired: you can calculatethe X, Y, Z position of each “return”.

• Provides highly accurate topographicdata

What is Mobile LiDAR?

Mobile Mapping System• A vehicular based imaging and

LiDAR data collection system

Mobile LiDAR Setup

•2 GPS units

• Inertial Measurement Unit (IMU)

•Distance MeasurementInstrument (DMI)

•2 Digital Cameras

•2 LiDAR Scanners

– Each collecting 200,000points per second

– Mounted to collect all datain a single pass

– 360 degree field of view

Mobile LiDAR Point Cloud

Vehicle Speed 30 mph

Resolution 1/1

Distance

from LS

Perp. To

Travel

Parral. To

Travel

Perp. To

Travel

Parral. To

Travel

3.0 ft 0.0009 ft. 0.4536 ft. 0.011 '' 5.443 ''

6.0 ft 0.0019 ft. 0.4536 ft. 0.023 '' 5.443 ''

8.0 ft 0.0025 ft. 0.4536 ft. 0.030 '' 5.443 ''

12.0 ft 0.0038 ft. 0.4536 ft. 0.045 '' 5.443 ''

15.0 ft 0.0047 ft. 0.4536 ft. 0.057 '' 5.443 ''

18.0 ft 0.0057 ft. 0.4536 ft. 0.068 '' 5.443 ''

21.0 ft 0.0066 ft. 0.4536 ft. 0.079 '' 5.443 ''

24.0 ft 0.0075 ft. 0.4536 ft. 0.090 '' 5.443 ''

27.0 ft 0.0085 ft. 0.4536 ft. 0.102 '' 5.443 ''

30.0 ft 0.0094 ft. 0.4536 ft. 0.113 '' 5.443 ''

33.0 ft 0.0104 ft. 0.4536 ft. 0.124 '' 5.443 ''

36.0 ft 0.0113 ft. 0.4536 ft. 0.136 '' 5.443 ''

39.0 ft 0.0123 ft. 0.4536 ft. 0.147 '' 5.443 ''

40.0 ft 0.0126 ft. 0.4536 ft. 0.151 '' 5.443 ''

50.0 ft 0.0157 ft. 0.4536 ft. 0.188 '' 5.443 ''

60.0 ft 0.0188 ft. 0.4536 ft. 0.226 '' 5.443 ''

LIDAR USA MOBILE SCAN

Mobile LiDAR Data Extraction

• Extract Inlets and Manholes from MobileLiDAR Point Cloud– Inlet Manhole Lid Elevation

– Inlet Throat Elevation

– Inlet Top of Curb Elevation

Mobile LiDAR Benefits

• Capture accurate geo-referencedimagery and LiDAR point cloud safely

• Survey Grade Accuracy

• Reduced field time– COSA Project – collected 54 street miles of

data in 1 day

• Produce higher quality data thantraditional asset surveys

• Cost Effective– More efficient data collection equates to

cost savings

360° Panoramic Manhole Inspections

Each manhole was inspected using an IBAKPanoramo which allowed for quick, accurate anddetailed MACP surveys of each structure. This systemcaptured a complete 360° perspective record of theinside of the structure and provided three useful viewsfor analysis:

360° Panoramic Manhole Inspections

• Interactive panoramic viewof the manhole that couldbe viewed from any angle,

• Unfolded view, so the entiremanhole surface could beviewed on one screen

• Geometric view, whichallowed for measurement offeatures inside the manholein 3-dimensional space.

360° Manhole Survey Benefits

• Capture accurate geo-referencedimagery and LiDAR point cloudsafely

• Survey Grade Accuracy

• MACP Inspection defect coding

• Produce higher quality data thantraditional asset surveys

• Assets Cost Effective

– More efficient data collectionequates to cost savings

InfoMaster Sewer Defect Analysis

CCTV video inspection was completed for approximately56,000 linear feet of stormwater pipe within the Pilot Areausing PipeLogix software. All observations were coded usingthe most recent version of the NASSCO PACP guidelines.Televising of the stormwater network provided the followingbenefits:

• Identification of condition of the sewer.

• Identification of any connections from storm laterals (catchbasins and inlets)

• Identification of any defects which are cost-effective to repair.

• Identification of maintenance issues such as debris, grease, androots

InfoMaster Sewer Defect Analysis

• InfoMaster is a decision support tool that uses userdefined asset data and field investigation dataalong with analysis tools to prioritize assets anddetermine condition assessment rehabilitationdecisions for an entire system.

After completing the PACPcoding of all defects, the tabularcondition assessment data wasbrought into InfoMaster Sewerand GIS for analysis

•Spatially linked with the GIS

•Visual representation of PACPdefects shown geographicallyalong the asset line

•GIS-linked defect images andCCTV videos inspections

•Simplified access to CCTVvideos through the GISinterface

InfoMaster Sewer Defect Analysis

COSA Stormwater – Pilot Project

Conclusions: By utilizing multiple advancedtechnologies and software programs throughout thePilot Project, our team was able to efficiently map andanalyze the stormwater system within the outlinedschedule and budget.

We are currently starting Year 2 of this project and willcontinue to optimize our data collection proceduresby using the most current technology available.

City of San AntonioUtilizing Advanced Technologiesfor Stormwater System Mapping

and Condition Assessments

Prepared byNoelle Gaspard, PE, GISP, CFMngaspard@rjnmail.com

Prepared for:

QUESTIONS?