Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS

Real-Time Ambient Air
Monitoring System for
a New Manufacturing
Facility
1898 & Co. | Part of Burns & McDonnell
The Peak of Data
and AI 2025

2025
The
Peak
of
Data
and
AI
Dusty
Werth
Geospatial Solutions Consultant
1898 & Co. | Part of Burns &
McDonnell

1. Introduction
2. The Challenge and Our Solution
3. Issues Encountered and
Mitigation Strategies
4. Conclusion
Agenda

2025
The
Peak
of
Data
and
AI
Project Overview
Project Context: Manufacturing Facility Expansion
● Presentation focuses on the development of an ambient air monitoring
system.
● Crucial for ensuring compliance with air quality regulations during
construction.
● Utilized FME Form/Flow, Survey123, ArcGIS Online, Experience Builder, and
Insights

The
Challenge
and Our
Solution
Section 2

2025
The
Peak
of
Data
and
AI
The Problem
The Challenge: PM Pollution Concerns
● The project faced a delay in obtaining the necessary air permit.
● Key concern: Potential for PM2.5 and PM10 pollution arising from
construction activities.
● Client agreed to implement an ambient monitoring system to expedite the
permit issuance process.

2025
The
Peak
of
Data
and
AI
The Solution
Ambient Monitoring System Overview
● Deployment of a network of field sensors.
● Real-time data processing and analysis capabilities.
● Integration of key technologies:
○ Field Sensors: Measuring particulate matter and weather.
○ FME (Feature Manipulation Engine): For automated data processing and workflows (FME Flow &
Workbench).
○ ArcGIS Online (AGOL): For centralized dashboarding and spatial analysis.
○ Survey123: For streamlined field data collection.
○ ArcGIS Insights: For data visualization.

2025
The
Peak
of
Data
and
AI
The Solution
Field Sensors
● Air Monitoring Stations (4):
● Measured PM2.5 and PM10 concentrations every minute.
● Cellular modems for real-time data transmission.
● Solar panels for independent power supply.
● Weather Station (1):
○ Measured wind speed and direction, humidity, and temperature.
○ Cellular modem for connectivity.
○ Solar panel for power.
● Strategic Sensor Placement: Located at the property edges in all 4

2025
The
Peak
of
Data
and
AI
Real-Time Data
Acquisition
● Data Access: FME Flow automatically accessed data from the API and Loggernet.
● Calculations:
○ Calculated rolling hourly average of PM concentrations.
○ Calculated the percent change in PM concentrations every 15 minutes.
● Threshold Monitoring: Compared calculated values against pre-deﬁned regulatory
thresholds.
● Data Integration: FME Flow wrote all collected and calculated data to an AGOL table.

2025
The
Peak
of
Data
and
AI
Project Team
Notiﬁcations
● For each exceedance the project team would
receive an email notiﬁcation directing them to
the AGOL Dashboard and the Survey123
form.

2025
The
Peak
of
Data
and
AI
The Solution
Centralized Monitoring and Visualization with AGOL
● An interactive ArcGIS Online dashboard was created.
● Real-time Sensor Status: Displayed the current status of all air monitoring
and weather sensors.
● Visual Exceedance Depiction: Clearly indicated if any sensor was currently
reporting an exceedance.
● Historical Data: Showed historical PM and weather data:
○ Over the past 7 days.
○ Over the past 24 hours.
● Data Export: Enabled easy export of historical data for regulatory reporting
and analysis.

2025
The
Peak
of
Data
and
AI
Survey123 Form for
Decision Making
● A custom Survey123 form was developed for
ﬁeld staff.
● Purpose: To guide the project team in
determining the cause of exceedances.
● Form included questions to assess if the
exceedance was related to on-site
construction activities.
● Questions also prompted the team to
determine if any immediate action or
mitigation was required.

Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS

Issues
Encountered
and Mitigation
Strategies
Section 3

2025
The
Peak
of
Data
and
AI
Addressing Technical Challenges
Hardware Issues
● API/Cellular lag time
○ Not all sensors reported consistently
○ Adjusted schedule to access the API 10 minutes after the quarter hour
● Sensor Offline
○ Despite utilizing solar panels the sensors did loose power occasionally
○ Sensors that were not located behind fences faced vandalism
○ Sensors would occasionally need to be reset
○ Email notiﬁcations were developed to alert the team when a sensor had not reported in

2025
The
Peak
of
Data
and
AI
Addressing Technical Challenges
Hardware Issues
● Loggernet
○ IT Forced outages
○ Power outages
○ Email notiﬁcations were setup to notify the team if the weather station data was inaccessible
○ Future recommendation is for an IOT based weather station with API access

2025
The
Peak
of
Data
and
AI
Key Outcomes and Benefits
● Successfully developed and implemented a real-time ambient air monitoring
system.
● Integrated field sensors, FME, AGOL, and Survey123 for a comprehensive
solution.
● Enhanced real-time data processing and analysis capabilities.
● Streamlined field data collection and improved situational awareness.
● Automated alerts and reporting simplified compliance tracking.
● Demonstrates a robust approach for environmental monitoring in large-scale
construction projects.

2025
The
Peak
of
Data
and
AI
ThankYou
Dusty Werth
1898 & Co. | Part of Burns & McDonnell
Dusty.Werth@1898AndCo.com

Edit Feature
Services in FME
Form using ArcGIS
REST API
TRC Companies
The Peak of Data
and AI 2025

2025
The
Peak
of
Data
and
AI
Daniella Mesler
Senior GIS Data Analyst
TRC Companies, IGS

1. Introduction
2. The Challenge
3. The Solution
4. Conclusion
Agenda

2025
The
Peak
of
Data
and
AI
TRC Companies & Intelligent
Grid Solutions

2025
The
Peak
of
Data
and
AI
Strategic Delivery Relationship: Our partnership with
Esri is cornerstone to delivering successful GIS projects
for utilities.
+
1st Utility Network go-live
globally @ National Grid in
2017 12
Utility Network
production go-lives in the
last four years
years as Esri
platinum partner
12
Dedicated GIS
professionals
400+ Utility Network projects in ﬂight
8
50+
System
Integration
projects
Industry proven methodology for Utility
Network POC’s & Implementations
#1

2025
The
Peak
of
Data
and
AI
Problem Setting
● Largest natural gas distribution company in the United States
● Multiple databases and data models from territories
● Had completed a full transformation.
● In ﬁnal hand-off cycle, the client requested edits to their published data.

2025
The
Peak
of
Data
and
AI
Lacked Process for Bulk
Edits to a Feature Service

2025
The
Peak
of
Data
and
AI
What We Had
Primary referenced documentation was ArcGIS REST API ApplyEdits

2025
The
Peak
of
Data
and
AI
Response Body Structure

2025
The
Peak
of
Data
and
AI
Conducting Edits and Publishing in a
Single Workbench

2025
The
Peak
of
Data
and
AI
Attribute Handling

2025
The
Peak
of
Data
and
AI
Geometry Handling

2025
The
Peak
of
Data
and
AI
Parallelism for Fast Publishing

2025
The
Peak
of
Data
and
AI
Final Schema for Submission

2025
The
Peak
of
Data
and
AI
Troubleshooting Tip
Go to
https://<root>/<serviceName>/FeatureServer/applyEdits
to test syntax before applying bulk edits

2025
The
Peak
of
Data
and
AI
One Workbench for Bulk
Edits to a Feature Service
With just a handful of transformers, python, and parallelism,
we were able to leverage the ArcGIS REST API to quickly
execute bulk edits to a published feature service.

2025
The
Peak
of
Data
and
AI
ThankYou
Daniella Mesler
TRC Companies
Dmesler@trccompanies.com

Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS

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Peak of Data & AI Encore - Real-Time Insights & Scalable Editing with ArcGIS