Chattanooga

Overview Dashboard

For Decision Makers:

The Overview Dashboard provides executive visibility into system health and risk distribution. At a glance, see total event counts, critical pipe segments requiring attention, and historical patterns by cause.

For Technical Teams:

Integrates 39 event days of labeled data (2021-2025) with real-time weather and soil moisture monitoring. The model uses Random Forest classification on features including rainfall patterns (1d, 7d, 14d rolling windows), soil saturation, and infrastructure attributes. Performance metrics show 95.4% ROC-AUC with conservative threshold calibration for operational deployment.

Key Features:

SSO event tracking by cause category (weather, construction, debris, mechanical)
Pipe risk distribution across 4 severity tiers (Critical >80, High 60-80, Medium 40-60, Low <40)
Feature importance analysis highlighting precipitation and soil moisture as primary predictors

Overflow Model

For Decision Makers:

This view shows model confidence and accuracy metrics. The 'Alert Threshold' slider lets operators adjust sensitivity—set lower for maximum safety (more alerts), higher to reduce false alarms.

For Technical Teams:

Precision-recall tradeoffs displayed for operational threshold selection. Current deployment threshold (0.40) yields 17% precision, 92% recall with F1-score 0.28—prioritizing overflow prevention over false positive minimization. Model evaluated on 1,147 labeled days with 39 overflow events (3.4% event rate).

Key Features:

Interactive threshold calibration for operational requirements
Historical prediction visualization (last 2 years) showing actual events vs. predictions
Conservative estimation approach appropriate for real-world deployment where missed events have high cost

Pipe Risk

For Decision Makers:

The Pipe Risk view identifies specific manholes and pipe segments requiring immediate attention. Each facility receives a risk score (0-100) updated continuously as conditions change.

For Technical Teams:

Segment-level risk scoring based on ensemble predictions across infrastructure attributes (material, diameter, slope, spatial location) and environmental conditions. Score composition analysis breaks down contributions from material type, geometry, and spatial clustering. Top risk segments table provides facility IDs for immediate field deployment.

Key Features:

10,934 active pipe segments continuously monitored
Granular risk breakdown: 80 Critical (>80), 474 High (60-80), 1,303 Medium (40-60)
Spatial risk scoring using operational area proxies (where GIS coverage permits)
Material-based risk stratification (VCP, CIPL/R, Saint/RCP showing higher risk profiles)

Hot Spots

For Decision Makers:

Hot Spots identifies repeat problem areas—manholes that overflow multiple times require infrastructure investment, not just reactive maintenance.

For Technical Teams:

Repeat event analysis from SSO events, obtained through the open data hub, identifying chronic problem facilities. Feature importance confirms rainfall patterns dominate (rain_3d_roll, rain_1d, rain_7d_roll account for 63% combined), with seasonal factors (month) contributing 4.5%. Construction-related events show distinct patterns resolved upon project completion.

Key Features:

Chronic problem facility identification (248 MG volume from single construction-related manhole)
Event causality tagging (Construction, Wet Weather I/I) for targeted remediation
Volume-weighted prioritization for capital planning

Transforming Raw Predictions into Actionable Insights

Data is only as good as its accessibility. FlowGuard Analytics integrates seamlessly with existing municipal GIS data to provide a 'Live' risk map of the entire sewer network.

Feature 1: The Risk Distribution Dashboard

With live GIS data.

Comprehensive System Overview

Stop reacting to breaks and start predicting them. Our dashboard categorizes every pipe segment in the city—from 'Critical' to 'Low' risk—allowing for long-term capital improvement planning based on empirical data, not guesswork.

Feature 2: Pinpoint Accuracy

Segment-Level Intelligence

Avoid the 'shotgun approach' to repairs. By identifying specific high-risk segments (e.g., Pipe 7499), cities can target maintenance where it is needed most. This granular detail is the key to reducing Sanitary Sewer Overflows (SSOs) and satisfying EPA consent decrees.

Feature 3: Smart Resource Allocation

Filtered Prioritization

Public Works budgets are tight. Our interactive filtering allows departments to isolate the top 5% of 'at-risk' infrastructure instantly. By focusing on these high-probability failure points, cities can proactively prevent the environmental and financial catastrophes of a major pipe failure.

Ready to See What ClearFlow Can Do For Your Utility?

Pilot Program Benefits:

90-day pilot deployment
Integration with existing SCADA systems
Custom dashboard for your infrastructure
No upfront capital investment

The ROI of Predictive Mapping:

Regulatory Compliance: Demonstrate to the EPA that the city has a proactive, data-driven plan for SSO mitigation.
Cost Avoidance: The cost of a proactive repair is 5–10x cheaper than an emergency pipe failure and environmental cleanup.
Capital Efficiency: Spend the "last dollar" of the budget on the pipe that is most likely to fail tomorrow, rather than just the oldest pipe in the ground.