Case study

Clean office air, from a purifier fleet that reports its own state

A smart building deployment where air purification units across office buildings monitor themselves, so the teams that maintain them act on real condition and the people working below them just breathe clean air.

Ionization and filtering
Status on every unit
Alerts on anomaly
Service on condition

Client: Purifier fleet operator
Sector: Air purification
Scope: Office buildings
Hardware: Connected air purifiers

The context

Clean air becomes office infrastructure

Air quality has become a closely watched variable, and offices are judged by it. Companies now deploy autonomous purification systems that reduce the microorganisms in the air people share.

Their ionization and filtering stages need periodic maintenance, and how often depends on where each unit sits. Across every unit in every building, that becomes a long-term logistics problem, the one this deployment set out to solve.

The equipment

Air purification units

Stages: IonizationFiltering
Service interval: Set by the environment each unit sits in
Same unit, different wear: A busy lobby ages it faster than a quiet meeting room
Scale: Many units per building, across every building in the deployment

The monitoring

What the fleet reports

Every purification unit becomes a connected device that reports its own condition. The sheet below redraws, as stylized figures, the monitoring the deployment runs on: the state of each purifier, the wear of its filters, the air quality record behind it and the distributed fleet as a whole.

Purifier fleet monitoring · As operators see itSHEET OA-01 · REV A · STYLIZED

PUR

The purifier, reporting in

FIG. 01

Each unit reports whether it is running, the ionization and filter stages it relies on, and every event in its log. An anomaly becomes a notification the moment it is detected.

STATE · ION + FILTER STAGES · EVENT LOG

FLT

Same filters, different environments

FIG. 02

Filter wear is tracked unit by unit. Filters installed the same day age at different speeds depending on the environment, so service goes where the wear says, not where the calendar guesses.

FILTER WEAR PER UNIT · INTERVAL SET BY THE ENVIRONMENT

AQM

The record behind each unit

FIG. 03

The record behind each unit: load builds as the environment demands, crosses the attention level, and the service that follows shows up on the same curve, in real time and over the long term.

REAL TIME + LONG TERM · EVENTS OVERLAID ON THE CURVE

FLE

Every building, at a glance

FIG. 04

The whole fleet on one screen: every unit in every building, green while healthy and flagged the moment something needs attention, with no technician on site.

FLEET VIEW · STATUS PER UNIT · ALERTS ON EVENT

Results

Maintenance moves from calendar to condition

For the people in the offices, the result is simply air that stays clean. For the teams running the fleet, monitoring is on automatic pilot, and the deployment keeps growing building by building.

For the fleet

Maintenance by condition

Servicing
Before: Fixed scheduleNow: When the unit's condition asks
An anomaly
Before: Found on the next visitNow: A notification
Each unit
Status verified in real time and over the long term
Monitored
Growth
Before: More eyesNow: More devices

Under the hood

The platform behind the fleet

The deployment runs on Thinger.io. Every purifier is a managed device on the platform, so extending the fleet to a new floor or building means provisioning devices, not building software.

On top of that layer, the platform notifies on any anomaly and provides the data visualization to verify each unit's status, in real time and across the long term.

Purifier units across office buildings report their telemetry to the Thinger.io platform, which keeps the monitoring on automatic pilot, raises notifications when an anomaly is detected and gives maintenance teams and facility managers the verified status of every unit.

Keep reading

Put your device fleet on automatic pilot

This deployment is one way to run a distributed fleet on Thinger.io. If your equipment ships in large numbers and needs to be watched, serviced and scaled, we can help you build the platform behind it.

Talk to our team Explore the Smart Building solution