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Solution

QAO MeterGuard

Smart-meter anomalies flagged and ranked by likely recovery, with inspection work orders for field crews.

The problem it solves

Smart meters send readings constantly, but analysis happens monthly. Tampering, bypass and billing errors surface late, and crews inspect sites without knowing which ones matter most.

How it works

Four steps. A person decides.

Step 1

Meter data in

Readings, events and tamper flags

Step 2

Anomaly detection

Finds tamper, bypass and billing patterns

Step 3

Engineer review

Approves the inspections worth doing

Step 4

Field work orders

Crews visit ranked sites and report back

What's inside

Built for the real work.

Pattern library

Tamper, bypass and billing-error patterns.

Recovery ranking

Sites ranked by likely revenue recovered.

Work orders

Inspections created in the field system.

Feedback loop

Inspection results improve the next ranking.

Built with

Time-series analyticsRulesMobile work ordersPythonPostgresReact

Related

Use cases and case studies.

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