Efficiency in motion: Automation goes mobile
The rapid pace of progress in electronics and sensor technology is determining the level of innovation in mobile machines today. The manufacturers and users of agricultural and forestry, construction and mining machines, as well as special and municipal vehicles are harnessing the potential of intelligent sensors. Processes are being made more efficient, more precise, and more environmentally friendly. This development makes SICK an important partner on the way towards highly automated and even autonomous mobile machines.
With knowledge and experience from factory and logistics automation
SICK can draw on the broad technology portfolio it offers as well as its experience in the automation of machines and vehicles. The range of mobile solutions for the material flow within factory buildings extends from cellular conveyor systems and pallet shuttles to freely navigating, automated guided vehicles, narrow aisle trucks, indoor cranes, and special vehicles.
Moreover, solutions for mobile outdoor applications, where changing weather conditions are a primary concern, and solutions for underground applications are not new challenges for SICK sensors either. They have proven effective for many years in ports, mines, and many other demanding environments.
Reliable sensors such as encoders, inclination, proximity, and ultrasonic sensors as well as pressure and level sensors manufactured by SICK are the basis of numerous positioning and detection tasks for mobile machines.
Caution on the apron: The APS (aircraft protection system) driver assistance system helps aircraft tractor drivers to move aircrafts safely. This takes some of the strain off the drivers and reduces the risk of collisions and accidents, thereby avoiding high repair, maintenance, and aircraft downtime costs.
Driver assistance systems for contour guidance and collision awareness relieve the strain on the operator. Thanks to intelligent sensors with integrated application software, the recorded raw data and the vehicle data are directly evaluated in the sensor.
The LD-MRS 4-Layer UAV 3D LiDAR sensor from SICK which is connected to the drone demonstrates a very large working range of 300 m despite its lightweight design. Even with black objects (10 percent remission), its working range is still 50 m.