Demonstrating the benefit of sensor data correction
Ricardo experts give Luton Council policy makers accurate air quality sensor measurements to help in decision making.
View our blog series, where we examine some of the common questions relating to sensor use and highlight potential pitfalls to be aware of, and the right questions to ask suppliers.
Unless handled carefully, air quality sensor data can be misleading. Data quality and measurement uncertainty for sensors operating in real-world conditions is often unknown.
Air quality sensors are unlikely to provide reliable data ‘out of the box’. Uncorrected responses may differ significantly from the ‘true’ pollution value. These deviations can be extreme – resulting in false alarms or incorrect actions, e.g. if results are being published in real time for public health or traffic management purposes.
Without implementing a comprehensive data correction and QA/QC process, data quality is largely unknown, leaving the data and the decisions it underpins open to challenge.
Ongoing QA/QC and data correction provides reliable, insightful air quality sensor data of known quality with a specified uncertainty status e.g. “Indicative” or “Near Reference”.
Ricardo's service is tailored to meet your specified budget, needs and quality of information, whether the results are for; LAQM reporting; education and public information purposes; or hyperlocal local networks for feedback into modelling; forecasts; traffic management or other Smart Cities applications.
Comprehensive QA/QC and data correction ensures results are defensible under challenge.
Delivering innovative and operational air quality monitoring networks for more than 25 years
Our data management and QA/QC services are complemented by:
To produce valid measurements, instruments must be used in exactly the same way as they were when configured for MCERTS testing. If sensor configuration is different to the method of testing, MCERTS status becomes invalid.
How and where can you deploy your sensor systems in the right way to yield the most value, and what applications can help improve your organisation’s understanding of local air quality issues?
What mechanisms are being put into place to help potential users purchase sensor systems with confidence? We take a look at the European Standardisation Committee's Technical Specification (TS 17660-1) classifications.
Blog exploring how different sensor systems perform, an examination of measurement uncertainties and how future development might improve data processing.
In this blog, we try to answer some of the questions relating to sensor use to give you a better idea of the potential pitfalls, and the right questions to ask suppliers.
Our experts are happy to discuss how we can support your data correction needs