Development through extensive global co-location comparison trials in all seasons across each continent means AQMesh can operate in the wides possible range of environments and conditions
Repeatable, traceable results
The carefully developed data processing algorithms used by AQMesh are fully traceable and fixed by version number,
and, unlike other systems, have been achieved with no use of machine learning or artificial intelligence.
Improvements in sensor technology and our understanding of how sensors respond in different conditions (from datasets of AQMesh pods co-located with reference stations around the world) have allowed us to make step changes in the accuracy of data. Each of these steps is released as a specific algorithm version, with a version number which is stamped onto each reading: total traceability.
The corrections which make up each algorithm use fixed equations to give total repeatability and this approach has earned the approval of senior air quality experts. This differs fundamentally from Artificial Intelligence (AI) which has its place but, in our opinion, not here. We have tried using AI and have seen how readily calculations can be led by dominant factors beneath the sensor signal, such as environmental conditions.
So what if a new algorithm is released? You have no obligation to adopt it if you are part way through a study, but every AQMesh user, no matter how old their pod, is welcome to take advantage of a new algorithm, at no charge.
More AQMesh benefits
Robust hardware, wireless communications and the secure AQMeshData server mean AQMesh pods can easily reconnect themselves and continue to capture data if power is ever interrupted
Email alerts can be set for exceedances on any data channel, completely customisable to the user’s required detection limits and can be integrated into other systems for autonomous control
AQMesh performance and long-term baseline stability has been proven over many years of independent global co-location trials against certified reference equipment
AQMesh processes and stores all readings on its bespoke secure server which can be accessed by a website login or API to integrate with other systems, or it can be simple emailed to you at your preferred schedule
Whilst some manufacturers use a calculation to give an NO2 reading, AQMesh uses a unique O3-filtered NO2 sensor for accurate, direct measurement of NO2
AQMesh is the proven small-sensor air quality monitor for indoor and outdoor air quality monitoring applications, measuring gases and particulates.
AQMesh performance has developed through a series of co-location comparison trials in which AQMesh pods are installed next to an air quality monitoring reference station..
The small sensor air quality monitoring world has moved on during the last three years and we have identified several new challenges and benefits relating to the continual development of air quality monitoring technology.
The results of the 2019 AIRLAB Microsensors Challenge* were revealed in Paris on 21st January and AQMesh was awarded the highest score for accuracy of all products presented for monitoring of outdoor air quality.
AQMesh has been independently tested and verified in numerous academic studies and publications
A wide range of private, academic and public organisations across the globe are currently using AQMesh
Featured case studies
Breathe London - 100 AQMesh pods are used as stationary monitoring points in the groundbreaking Breathe London project.
Urban Observatory - AQMesh systems are deployed across Newcastle and Gateshead in conjunction with other instruments for monitoring parameters such as air and water quality, noise, weather, energy use and traffic.
Minnesota Pollution Control Agency - 50 AQMesh pods are installed in Minneapolis and St. Paul to build up a picture of air quality across the two cities.
UNRESP project - Six AQMesh pods are used to show variations in volcanogenic emissions across locations near the Masaya volcano, Nicaragua.
AtmoSud & CETU - AQMesh network will be used to manage Marseille tunnel ventilation systems.