search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
TECHNOLOGY IN ACTION ADVERTORIAL SICK’s NAV-LOC Localisation Sets AGVs Free from Reflectors


compressor monitoring solution cuts energy bills by up to 30 per cent


provides real time data, analytics and insights at the push of a button, has been launched by global compressor management specialists, CMC. AIRMATICS™ is capable of managing an infinite number


A


of locally interconnected fixed speed, variable speed or variable output air compressors by responding to feedback in real-time and automatically adjusting settings and performance levels accordingly. The latest innovation from the Belgium-based firm,


which has spent the last 30 years designing and manufacturing compressed air controller, performance and monitoring solutions for manufacturers worldwide, launches as its Sales Director reveals the company’s plans to ‘simplify air compressor performance and management technology in a complex industrial world’. Those wishing to access the AIRMATICS™ Compressor Configurator can do so by visiting www.airmatics.eu


CMC  www.cmcnv.com


IRMATICS™, a simple cloud-based air compressor monitoring, performance and control solution that


S


ICK has set Automated Guided Vehicles free from the need for reflectors or other physical markers with


the all-in-one NAV-LOC localisation solution, enabling them to navigate more reliably and efficiently around shop floor and warehouse environments.


The SICK NAV-LOC (Localisation On Contour) is an


easy-to-set up solution based on a SICK NAV 360o LiDAR scanner that can be integrated into new or existing AGVs. By recognising the pre-mapped contours of a factory or warehouse interior, the system eliminates the need for time-consuming and costly installation of reflectors, special paints, tracks, magnetic strips or coloured tapes.


“The introduction of the SICK NAV-LOC is an


important step forward in the availability of contour- based localisation systems from SICK that promise more flexibility, lower cost of installation and maintenance for automated transport, stacking, and loading processes using AGVs,” says Neil Sandhu, SICK’s UK Product Manager for Imaging, Measurement and Ranging.


    “Especially suited to medium and large AGVs,


automated forklifts, shuttle systems and mobile robots, the beauty of the SICK NAV-LOC system is that it is straightforward to set up, and it is easy to adapt the navigation path when the surroundings are altered, or the AGV needs to be redeployed to another area.”


The SICK NAV-LOC system uses precise 2D data from


the SICK NAV310 LiDAR scanner to match its position to a reference map stored on a SICK SIM2000 Sensor Integration Machine, which is also mounted on the AGV. As the data is processed, a SICK algorithm continually compares the distances retrieved from the scan data with the reference map to provide position and orientation information to the AGV controller.


SICK (UK) Ltd  01727 831121  www.sick.co.uk


New cloud-based air





FACTORY EQUIPMENT | MARCH 2019 11


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66