Know the basis.
A georeferenced record of the selected parameters, capture time and altitude, with sensor checks and quality notes. Agree the CSV archive and metadata needed for your review.
Environmental intelligence · Air IQ
Air quality.
In full context.
Understand airborne conditions around your operation. Flybi combines drone-based air-quality capture with location, altitude and site context to help environmental and EHS teams investigate patterns and plan follow-up.
Drone-based field intelligence for environmental, EHS and site operations teams.
AirIQ / Workflow preview
Follow the air.
Understand the context.
One connected scene. From an emission source, through the changing site, to observations your team can interpret.
A site. Five connected perspectives.AIRIQ / FLYBI
SourceWind & siteObservationsInterpretation
The complete workflow is available below.
Wind scenario
01 / Source
An emission starts in a place.
Start with the source: where it is, what is operating and when emissions occur. That context gives the observations a useful starting point.
Source and site contextAirIQIllustrative view
Site context ready
SourceLocated
WindAwaiting context
Site geometryAwaiting context
ObservationsAwaiting context
Relative pattern / Conceptual
Review the pattern. Check the basis.Play once, or explore the five chapters at your own pace.
Illustrative workflow. The photographic campus, airflow, observation positions and dashboard are conceptual; no site-specific predictions or measured readings are shown.
Read the complete explanation and assumptions
An emission starts in a place.
Start with the source: where it is, what is operating and when emissions occur. That context gives the observations a useful starting point.
The wind changes the path.
Direction and atmospheric mixing influence where a plume travels and how it spreads. Switch the wind scenario to see why the same site can produce a different observation pattern.
The site shapes the movement.
Air slows, turns and mixes around structures. Terrain changes the path again. Bring the shape of the site into the explanation to understand where observations may differ.
Measure where the question is.
Connect airborne and fixed observations with their location, timing and relevant conditions. Compare positions across the site to build a more useful picture of the pattern.
Turn a pattern into a better question.
Read observations alongside wind, site geometry and operating context. The AirIQ workflow brings these perspectives together to help focus the next investigation.
What this visual explains
Wind, mixing, structures and terrain can influence dispersion. Observations need location, timing, suitable sensor performance and site context before interpretation. The photo-grounded paths simplify those relationships; a real prediction needs site-specific inputs and an appropriate validated method.
The illustrated sensor and dashboard do not establish manufacturing, deployed features, source attribution or compliance. They show how an observation can lead to a better-informed review.
01
Where did conditions change?
Review each reading with its position, altitude and capture time.
02
What was happening nearby?
Read the pattern alongside wind, buildings, terrain and operating activity.
03
What should we investigate?
Use the evidence to target repeat capture, ground checks or specialist modelling.
From observation to understanding
A reading needs
the story around it.
Location, timing and measurement quality give an environmental observation its meaning. Keep them connected before interpreting a pattern.
AIRIQ / OBSERVATION BASISWhat travels with a reading
01 / WhereA position you can understand.
Record the location, inlet height and nearby structures or activity. The same reading can mean different things at a site boundary and inside an operating area.
02 / WhenThe same moment in context.
Connect the observation to its time window, wind conditions and relevant activity. Compare compatible periods before interpreting differences.
03 / HowA measurement worth reviewing.
Keep the parameter, units, sensor checks, calibration basis and data-quality flags with the record. A trend is useful only when its measurement basis is understood.
Observation → context → a better next question.
From readings to review
Information your team
can work with.
Define the source and parameters of interest first: particulate matter or relevant gases, the operating conditions and the capture window. Sensor suitability and reporting needs shape the field plan.
See the relationship.
Review concentration maps and altitude bands alongside the physical site and weather record. Separate measured samples from interpolated views and any modelled scenario.
Make the next step clear.
Give the EHS team a summary of the captured conditions, patterns and limitations, with the next checks made clear. Regulatory use and any source-attribution work need an explicit specialist scope.
Air IQ / Product direction
Keep the site
in the conversation.
Air IQ is being developed to connect observations, site context and environmental review. The animation previews that direction; it is not a deployed monitoring dashboard. Discuss the field programme and the potential product workflow separately.
Explore the V7 platform01
Frame the question
Identify the emission source, parameters, operating conditions and period of interest.
02
Design the approach
Plan the airborne capture, reference information, quality checks and weather window.
03
Review together
Review the maps, time-stamped records and findings with the environmental team.
Before we begin
Good questions.
A better starting point.
What should we share about our site?
Share the site and source location, parameters of interest, the event or reporting question, and existing monitoring records. Access, operating activity and weather constraints help define a useful capture window.
Are sensor readings and modelled results the same?
No. A sensor records conditions at a location and time. A model explores behaviour under defined inputs and assumptions. They should remain distinguishable, with limitations visible in the review.
Will this identify the source of an event?
Position, altitude, wind and timing can help narrow an investigation. An observed pattern alone does not prove a source. Attribution requires supporting evidence, suitable methods and specialist validation.
Can we use an existing sensor network?
Share the sensor types, calibration information, time resolution and available formats. Existing records can be reviewed as potential context; a live Air IQ integration is not implied by this product preview.
A deployment designed around the question
Start with the site.
Then select the system.
An effective monitoring programme depends on where, when and why information is collected—not simply how many sensors are installed.
Monitoring plan
Define the site boundary, locations of interest, operating patterns and time window. Agree the parameters to observe, sensor placement, calibration and quality checks before the review begins.
Site model & context
Buildings, terrain, roads and relevant operating activity provide spatial context. Weather and other model inputs should be documented, with their sources and assumptions visible.
Review & follow-up
Compare observations, identify patterns and record the questions that need further investigation. Keep measured values distinct from modelled scenarios and interpretation.
Start with your site
What do you need
to understand?
Tell us about the location, the conditions and the decision ahead. We’ll start with the right questions.