The PollyX Device Heatmap visualises air quality data collected by PollyX IoT sensors installed at monitoring sites on the 3Bee Oasi platform. The PollyX device integrates the Sensirion SPS30 particulate matter sensor, based on laser optical diffusion technology, measuring PM2.5 (fine particulate, diameter < 2.5 um) and PM10 (inhalable particulate, diameter < 10 um) concentrations in micrograms per cubic meter (ug/m3).
Data are transmitted in real-time and aggregated weekly. The spatial heatmap shows particulate concentration distribution across the site area, using the geographic coordinates of each PollyX sensor and its average value for the selected period.
This layer is non-generatable via API: its availability depends solely on the user's adoption of a PollyX device. Sites without PollyX sensors will not display this layer.
The PollyX heatmap is a pure visualization layer: it displays aggregated sensor readings without computing a derived index or score. No quality grade (A-E) is assigned to this KPI.
| Parameter | Unit | WHO Limit (annual) | EU Limit (annual) |
|---|---|---|---|
| PM2.5 | ug/m3 | 5 ug/m3 | 25 ug/m3 |
| PM10 | ug/m3 | 15 ug/m3 | 40 ug/m3 |
Daily limits: PM2.5 WHO = 15 ug/m3; PM10 WHO = 45 ug/m3; PM10 EU = 50 ug/m3 (max 35 exceedances/year).
| Source | Provider | Coverage | Resolution | Period |
|---|---|---|---|---|
| 3Bee PollyX IoT Sensor (Sensirion SPS30) | 3Bee | Local (site-level) | Point measurement per device | Continuous (real-time) |
Map Layer. An interactive map overlay showing particulate matter concentration as a gradient heatmap based on PollyX sensor positions.
Purpose: To visualise the spatial distribution of air quality (PM2.5 or PM10) across the monitoring site using real-time sensor data.
Description: The map displays the site boundary with colored gradient spots at each PollyX sensor's location. The heatmap intensity represents the average particulate concentration for the selected period and pollutant type. Users can switch between PM2.5 and PM10 views and select the date range. Each sensor's position is shown as a heat spot, with warmer colors indicating higher concentrations and cooler colors indicating lower concentrations.
How it's calculated: Each sensor's weekly average concentration is plotted at its geographic coordinates. The gradient interpolation creates a continuous surface from discrete point measurements. No index or score is computed — the raw concentration values are displayed directly.
Legend: The heatmap uses a three-color gradient from green (low concentration) through yellow (moderate) to red (high concentration):
#008000 — Low concentration (good air quality)#FFFF00 — Moderate concentration#FF0000 — High concentration (poor air quality)Interpretation example:
If the heatmap shows a red zone around one sensor and green around another, the first sensor's location has significantly higher particulate concentrations — this may indicate a local pollution source such as traffic, industrial activity, or agricultural burning near that part of the site.
Map Layer. The same PollyX heatmap overlay accessible from the Assessment Sensors page, which provides an integrated view of all IoT sensor data for the site.
Purpose: To allow users to view air quality sensor data in the context of the broader assessment, alongside other sensor types (Spectrum, Hive-Tech).
Description: The Assessment Sensors page displays an interactive map with a layer selector. When the PollyX layer is selected, the heatmap overlay appears showing PM2.5 or PM10 concentrations. Below the map, a tabbed section provides access to detailed sensor measurements, including the "Measurements" tab with device-specific data.
How it's calculated: Identical to the Maps > Sensors > "PollyX Heatmap" layer — weekly averaged concentrations at each sensor's coordinates.
Interpretation example:
If the Assessment Sensors map shows a uniformly green PollyX heatmap, the site's air quality is consistently good across all sensor locations — all readings are well below WHO annual guideline values.
See the Calculation Methodology section for the core computation. Additional processing details are documented here for expert users.