/// CONTENTS \\\


/// COMMENT \\\


predictions Chaotic By Jonathan Newell, Editor


3 /// Electric Lotus morphs as it races Classic racing marque pushes technology forward with adaptable body panels


4-5 /// LiDAR extends autonomous horizon LiDAR is gaining traction as the means to provide autonomous vehicles with an awaresness of their surroundings


7 /// A sound approach to layer detection Ultrasonics is being used to detect layered sheets in manufacturing processes


8 /// 4D imaging radar improves car occupant safety


Radar technology is being used for child


presence detection and seat-belt conformance in a boost to car occupant safety


10 /// Continuous thickness measurement Measurement gauge closes the gap between simple thickness sensors and dedicated bespoke measuring systems


12-13 /// Orbiting sensor maps methane


Satellite-based system of high-resolution optical sensors is being used to accurately map methane emissions on earth


14 /// RTS puts automotive radars to the test New test system electronically simulates moving objects to test automotive radar sensors for collision avoidance and autonomy


16-17 /// Software pulls DAQ into line


Test and measurement equipment with integrated software takes the confusion out of DAQ results


18-19 /// EIS Instrumentation, Analysis and Testing Exhibition


This year’s EIS event will focus on the


transition from IC to EV as well as the resulting challenges, pitfalls and opportunities


20-35 /// Company Guide A guide to DAQ, Sensors &


Instrumentation-related suppliers 21-23 /// DAQ, Sensors &


Instrumentation newsround


A selection of new product and application stories relating to DAQ, Sensors & Instrumentation


28 /// Leak measurement for EV chargers A new sensor uses fluxgate technology to measure EV charging station current leakage


32-33 /// Sensors improve gas turbine efficiency


A system for monitoring gas turbines with pressure sensors is helping to improve energy efficiency


36 /// Back Page: multi-fingerprint biometrics Organic photodiodes make full surface area multi-finger biometric identification possible for high security smartphone apps


Concorde Publishing Ltd, 100 Borough High Street, London SE1 1LB, United Kingdom Tel: +44 (0)20 7863 3079


Web: www.environmentalengineering.org.uk Email: daq@concordepublishing.com U


nderstanding the effects on climate change of what people, companies and governments do now is a challenge. The results of modelling give us a task list of what should be done to


achieve the reductions in emissions needed to prevent global warm- ing from going out of control. It is then a question of effort, regula- tions and policies that will get us there. In the meantime, the world is facing more risk of encountering ex-


treme climate events such as the recent, devastating floods in Ger- many and Belgium or the heatwave and extreme drought that has engulfed Northwestern American states killing hundreds of people. The ability to predict and prepare for such events would save


lives, prevent infrastructure damage and reduce their large eco- nomic impact. The problem in making such predictions, though, is simply one of chaos. According to chaos theory, any prediction that is based on natural events is useless except in the very short term. The uncertainty of any prediction increases extremely rapidly in just short spaces of time. Notwithstanding this, a London-based startup has just secured


seed funding to develop its approach to climate risk forecasting. “Climate X” plans to use its expertise in AI-based data analytics and digital twinning combined with vast amounts of satellite-based sensor data to create predictive models at a seemingly unlikely granular level. The company states that it uses a blend of physical risk models and machine learning to automatically project how ex- treme weather events linked to climate change could affect mil- lions of specific assets or locations anywhere in the world, up to 80 years into the future. At a more down-to-earth and realistic level, the company also models extreme events and the extent to which such occurances will impact certain infrastructure and assets. In this respect, there is value in enabling companies and organisations to understand cli- mate risk and factor it into their decision making. However, in the company’s more global digital twinning and pre-


dictive objectives, it seems more likely that it will improve the tech- nology behind data analytics and modelling rather than provide any insights into providing a solution to the butterfly effect.


2021 /// DAQ, Sensors & Instrumentation \\\ 1


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