INDUSTRY News
POLYN introduces AI-type vibration pre-processing chip
POLYN Technology introduced VibroSense, a Tiny AI chip for vibration monitoring sensor nodes. The design greatly reduces the amount of sensor data transmitted to the cloud, lowering power consumption and enabling energy-harvesting designs. VibroSense extracts unique patterns from a sensor’s raw signal and passes the data only for classifi cation at the next compute point. “Product data management solutions usually require cloud services and are resource-hungry. The sensor node consumes a lot of electricity on vibration data transmission. Collecting data from many sensors requires considerable resources such as the sensor node itself, radio bandwidth, data processing and storage in the cloud,” said Eugene Zetserov, Vice President of Marketing for POLYN. “VibroSense reduces the need for these resources through a thousand-fold reduction of sensor data to be sent for analysis in the central cloud or at the edge.” VibroSense simply and smoothly integrates into existing solutions to improve ROI and OPEX, and is particularly suited to Industry 4.0 applications. “VibroSense is the only analogue neuromorphic solution on the market today that extracts vibration signal patterns at the sensor level. It not only saves IIoT network bandwidth and reduces total cost of ownership, it enables faster adaptation of predictive maintenance solutions, better performance and sustainability,” said Zetserov. POLYN is a fabless semiconductor company providing application specifi c Neuromorphic Analogue Signal Processing (NASP) technology and Neuromorphic Front End (NFE) chips for always-on sensor-level solutions, for ultra-low power consumption and low latency at the edge. It provides a framework for trained neural networks conversion into an analogue neuromorphic chip for inference. It supports a hybrid architecture where unique patterns of the specifi c signal are extracted in the analogue domain, with classifi cation handled by the digital part. In this way VibroSense supports fl exibility along with power consumption savings and specifi c machine adaptation to allow various uses on the same chip.
ABB COLUMN
MAKING THE EV TRANSITION HAPPEN WITH ROBOTS
With the clock ticking towards the introduction of the 2030 and 2035 bans on the manufacture of internal combustion engine (ICE) and hybrid powered vehicles, industry experts are already expressing concerns and calling for the deadline to be delayed. Automotive giant Renault has declared plans to build internal combustion engines beyond the deadline, envisaging a continued demand for
highly-efficient ICE and hybrid powertrains in the near future. It’s not just automotive manufacturers that are concerned. Containing responses from 600 representatives from across the global automotive value chain, ABB’s recent Automotive Manufacturing Outlook Survey revealed that nearly 60% of respondents believe that the EV adoption targets should be extended, to give extra time to put in place the production and charging infrastructures needed to support a wholesale switch to electrically-powered vehicles.
While the environmental aims of the bans are laudable, they nevertheless present significant uncertainties for automotive OEMs and their associated supply chains, many of which are still geared towards operating production lines building a combination of ICE, hybrid and electric vehicles. As a supplier of a full range of robotic solutions for both conventional and EV automotive production, ABB is well placed to help manufacturers find ways to adapt their production processes to cope with the EV transition. Flexibility: Robots are becoming critical to making production more
resilient, faster and efficient. ABB’s latest generation of robots, including Autonomous Mobile Robots is already helping automotive OEMs to radically improve flexibility, reduce build times, minimise production costs and increase efficiencies. The inherent flexibility of robots also enables manufacturers to accommodate different powertrains on the same production line and scale production for specific variants depending on demand.
Planning ahead: The benefits offered by robotic automation are further augmented by advances in programming software. ABB’s RobotStudio offline programming and simulation tool, for example, enables more efficient planning, development and implementation of robotic solutions, with a cloud-based version opening new opportunities for collaboration between teams across multiple locations. For more information about how robotic automation can help you make
the EV transition happen visit
www.abb.com/robotics. Nigel Platt, LBL Manager, UK and Ireland, ABB Robotics
automationmagazine.co.uk
Automation | May 2023
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