City Infrastructure Dashboard
Executive view of stormwater risk, compliance gaps, inspection workload, and sensor prototype readiness.
Total Assets
128
Stormwater infrastructure records
Open Issues
14
Maintenance or inspection concerns
Overdue Inspections
6
Require immediate follow-up
High-Risk Locations
4
Priority infrastructure risks
Executive Risk Summary
Version 1 proves visibility. Cities do not need raw sensor data first; they need to know where risk is increasing, which assets need attention, and what should be documented before a compliance issue becomes expensive.
- Priority 1: Riverbend Road outfall erosion requires corrective action documentation.
- Priority 2: Oak Valley Drive culvert has not been inspected since February 2026.
- Priority 3: Six overdue inspections should be assigned to field staff this week.
Prototype Readiness
AI Intelligence Layer
These are placeholder AI agents that show where future intelligence will plug into the dashboard. They are simulated for now until connected to a real AI API.
StormRisk AI Analyst
Reviews assets, inspections, and sensor readings to identify priority risks.
AI Report Writer
Turns staff inputs and field notes into a city-ready compliance summary.
Compliance Assistant
Checks for missing documentation, overdue inspections, and reporting gaps.
Version 1 Goal
Do not build the full system yet. Version 1 proves one thing: “We can get data from inside stormwater systems and make it useful to cities.”
1. Fake the System
Use sample data, public city data, inspection logs, photos, alerts, and map views to prove the workflow before hardware.
2. Prototype Sensing
Start with one measurement: water level detection. Use simple off-the-shelf parts before inventing custom hardware.
3. Show Visibility
Turn raw readings into city-ready insights like flood risk increasing, possible blockage, or maintenance recommended.
4. Package a Pilot
Sell a small deployable stormwater monitoring pilot with dashboard visibility, alerts, and compliance reporting.
Tactical Product Roadmap
- Phase 1: Build without hardware. Create an asset map, field logging workflow, fake monitoring readings, and compliance output.
- Phase 2: Build one sensing prototype. Measure water level using an ESP32 or Arduino, waterproof ultrasonic sensor, battery pack, and IP67+ enclosure.
- Phase 3: Connect the prototype. Send readings to a simple dashboard using cellular, LoRa, Firebase, AWS IoT, or a basic API.
- Phase 4: Harden into a pilot. Improve waterproofing, mounting, battery life, underground signal reliability, and alert quality.
Stormwater Asset Inventory
Search and review sample stormwater assets. In Phase 1, this can use public city data or manually entered test records.
Add New Asset
Staff can enter a new stormwater asset into the inventory. In a real system, this would save to a database.
Current Asset Inventory
| Asset ID | Asset Type | Location | Condition | Last Inspection | Risk Level |
|---|---|---|---|---|---|
| SW-001 | Storm Drain | Main Street | Fair | 04/12/2026 | Medium |
| SW-002 | Outfall | Riverbend Road | Poor | 03/21/2026 | High |
| SW-003 | Retention Basin | North Park | Good | 05/02/2026 | Low |
| SW-004 | Culvert | Oak Valley Drive | Poor | 02/18/2026 | High |
| SW-005 | Pipe Segment | Peachtree Crossing | Fair | 04/28/2026 | Medium |
Inspection Tracking
This page shows how inspectors would log field activity and track whether corrective action is needed.
Add New Inspection
Staff can enter an inspection record after visiting a site or reviewing field conditions.
Current Inspection Log
| Date | Inspector | Location | Issue Found | Follow-Up Needed | Status |
|---|---|---|---|---|---|
| 05/10/2026 | J. Carter | Main Street | Debris buildup | Yes | Open |
| 05/08/2026 | A. Williams | Riverbend Road | Erosion near outfall | Yes | Urgent |
| 05/01/2026 | M. Johnson | North Park | No major issue | No | Closed |
| 04/25/2026 | S. Lewis | Oak Valley Drive | Standing water near culvert | Yes | Pending |
Water-Level Sensor Prototype
Version 1 should start with one measurement: water level detection. This page shows how simple readings could appear before a real hardware deployment.
Prototype Node
WL-01
Water-level sensor test unit
Current Reading
18.4 in
Latest water-level reading
Battery
76%
Target: months, not days
Signal
Good
Cellular / LoRa test status
Add New Sensor Reading
Staff can manually enter readings now. Later, this would come directly from an ESP32, Arduino, cellular device, LoRa gateway, Firebase, AWS IoT, or API.
Sample Readings
| Time | Location | Water Level | Condition | System Interpretation |
|---|---|---|---|---|
| 08:00 AM | Riverbend Road | 10.2 in | Normal | No immediate action |
| 10:00 AM | Riverbend Road | 14.8 in | Rising | Monitor closely |
| 12:00 PM | Riverbend Road | 18.4 in | Elevated | Possible blockage or flood risk increasing |
AI Agent Placeholders
These agents do not call a real AI API yet. They show the product vision and where the future AI logic will connect.
1. StormRisk AI Analyst
Purpose: Review assets, inspections, and sensor readings to explain where risk is increasing.
Future Output: Risk explanation, priority ranking, and recommended next action.
2. AI Report Writer
Purpose: Convert staff entries into professional report language for city leadership, compliance files, and audits.
Future Output: Executive summary, compliance narrative, audit notes, and recommended actions.
3. Compliance Assistant
Purpose: Identify missing documentation, overdue inspections, reporting gaps, and audit readiness issues.
Future Output: Missing item checklist and compliance readiness score.
4. Field Note Cleaner
Purpose: Turn messy inspector notes into clean professional language.
Future Output: Clean inspection narrative suitable for reports.
5. Work Order Recommender
Purpose: Suggest maintenance work orders based on risk, inspection findings, and sensor alerts.
Future Output: Suggested task, priority level, and assignment recommendation.
6. Sensor Alert Interpreter
Purpose: Explain what sensor readings may mean instead of showing raw numbers only.
Future Output: Plain-language alert interpretation and escalation recommendation.
Generate Compliance Report
Staff enter inspection results, simulated sensor readings, compliance concerns, and field notes. The system converts the entered information into a report summary.