about project
Fleet telemetry ingestion, outage prediction, and work order dispatch for AMI rollouts.
- python
- fastapi
- mqtt
- timescaledb
- grafana
Municipal crews lacked visibility when smart meters clustered failures after storms.
We ingested MQTT telemetry into Timescale, scoring anomalies for transformer stress.
Dispatch maps prioritise outages affecting hospitals and shelters.
Citizen portals expose estimated restoration without overloading call centers.
Features
- MQTT ingestion with QoS ladders
- Outage polygons with SLA timers
- Crew mobile views with offline maps
- Rate-limited public APIs
- Grafana dashboards for council briefings
Case
study
Approach
How we framed the challenge, shipped the solution, and measured outcomes.
Challenge
Stakeholders lacked a single dependable source of KPI truth.
Our approach
Shipped dashboards with guardrails and explicit ownership.
Results
Truck rolls became better targeted reducing overtime.
Key metrics
−28%
roll accuracy: +34%
sub-minute
Work in stages
Requirement Gathering & Discovery
1
Project
However, all complete IoT systems are the same in that they represent the integration of four distinct components: sensors/devices, connectivity, data processing, and a user interface.
IOT Projects software
The software then analyzes and transmits the data to users via an app or website.
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