Step 1 - Measure
Install Pollution Sensors
XanLabs Pollution Monitors give real-time feedback.
By putting Pollution Monitors on the street, an analysis of the times and locations which have dangerous levels of Pollution can be identified.
Using XanLabs NO2 monitors or the Multi-sensors Particle, NO2, CO and Ozone sensors give minute by minute data that can be viewed and graphed. Alerts can be set for different levels.
Alerts at pre-set values
Up to 5 years of operation
Auto-Calibration using Artificial Intelligence
Step 2 - Analyse
Journey Time Data
Using the locations identified by the Pollution Monitors, Bluetooth Sensors are then installed on those routes creating high levels of Pollution.
From our research, we have found Journey Time to be one of the most significant factors in Pollution management.
By collecting the Journey Time information, we can use that data, along with the weather and other factors, to predict Pollution levels for various time periods.
Journey Time Calculation
Beacon Ability to allow communications to vehicles
Mapping of Journey across the city
Step 3 - Action
Produce Plans for Traffic Signals and Diversions
AI’s learn from the data and analyse this in real-time, using Journey Time, weather, CCTV and other factors to map the pollution data and start predicting the one hour ahead forecast.
Data can then be sent to Traffic Systems and other Smart City applications to mitigate the event, to reduce pollution.
Traffic strategies such as Green Waves, Diversions, Driver Awareness, Tolls and Variable Speed Limits are possible.
Real Time Pollution Prediction
Real Time Vehicle Classification from CCTV
Green Wave Support
AI - Prediction
Samples of Pollution Prediction
Predicted Pollution vs Actual Pollution in Coventry (1 hour ahead)
These graphs show the effectiveness of the AI, trained on pollution and journey time data while inputting other parameters to create a 26 variable model.
The red line represents the value predicted 1 hour beforehand and the blue line represents the actual value.
Predicted Pollution vs Actual Pollution in Glasgow (1 hour ahead)
Plan - Smart City
Pollution Plan options and Smart City Devices
Legal Limits - Pollution
Nitrogen Dioxide (NO2)
200 μg/m3 or 104 ppb 1 hour average no more than 18 times per year
40 μg/m3 or 20 ppb averaged over 1 year
Particulate Matter (PM 2.5)
25 μg/m3 averaged over 1 year
Particulate Matter (PM 10)
50 μg/m3 averaged over 24 hour
40 μg/m3 averaged over 1 year
Carbon Monoxide (CO)
10 mg/m3 or 8.59 ppm Maximum Daily 8 hour mean
Ozone (O3)
20 μg/m3 or 60 ppb Maximum Daily 8 hour mean
Nitrogen Dioxide Sensor
Advanced electro-chemical gas sensor with accurate readings from 10 ppb to 20000 ppb (19 µg/m3 to 38000 µg/m3).
High capacity O3 filtering, preventing ozone from affecting sensor readings.
Alerts and AI forecasts (utilising Xan AI)
Response time less than 60 seconds.
Networked Auto-Calibration (utilising Xan AI)
Temperature range of -30°C to 50°C
Humidity range of 15% - 85%
3G, 4G, WiFi, Bluetooth, LoRa, ZigBee, Mesh connectivity