Following the underground mining of the self-driving truck FMX and self-driving garbage trucks, Volvo trucks continue to amplify the field of self-driving, continuing to lead truck autopilot technology. Last summer, Volvo Trucks developed a new self-driving truck that can significantly increase Brazil. Sugar cane growers' production efficiency. This truck can be used to transport freshly harvested sugarcane, which can be highly accurate in the field and avoid damage to young plants to be harvested in the coming year. Previously, the truck was rolling mills and presses while driving in the field. The loss rate of crops caused by the actual soil is about 4%, which is equivalent to the loss of tens of thousands of dollars for each truck giving each season's harvest.
Volvo Autopilot technology can effectively reduce crop loss
In Maringa, an hour west of Sao Paulo, the Usina Santa Terezinha Group used its own sugarcane crops to produce sucrose and ethanol. During the last crop growing season, the company used large crop fields as a test plot for Volvo truck prototypes. The purpose of developing this truck is to verify how autonomous driving can avoid damaging soils and crops, thereby increasing income. The potential for increasing harvests is not to be underestimated, and as much as ten tons per hectare can be increased each year.
'Volvo Truck Solutions can help us increase production efficiency, not just a batch of harvest, but throughout the entire life cycle of sugarcane planting, which can last for five to six years.' said Paulo Meneguetti, SantaTerezinha Finance and Purchasing Director. .
Paul Meneguetti, Director of Finance and Purchasing, Santa Terezinha
At present, people mainly use harvesters and manually controlled trucks to harvest cane from the fields. These devices are traveling at a low speed in the field. When a truck is full, the truck will leave to empty the loaded crops. Meanwhile, at the same time, The other truck will follow in and drive in parallel next to the harvester and repeat the same steps.
For truck drivers, the biggest challenge is to keep the truck's speed in line with the harvester, but also to concentrate on driving in their own lanes so as not to mill the crops that are to be harvested next year.
Volvo Trucks has solved this problem with an automated driver assistance system. It ensures that the truck is always in the correct lane while driving, running in parallel alongside the harvester to ensure that the crop is not damaged.
With the help of a GPS receiver, the truck can follow the coordinate map of the cane field. The two gyroscopes not only ensure the accuracy of the front wheels, but also ensure a highly accurate manipulation of the entire vehicle, thus placing the truck in the set lane. Lateral deviation is controlled within 25mm.
GPS receiver ensures that the lateral deviation of the lane is less than 25 mm
When loading crops, the driver can choose to use the truck's cruise control to adjust the speed, or choose manual acceleration and braking. Because the driver does not need to spend much time manipulating the truck, it is easier to stay focused while working, and it is easier and safer to work at the same time. .
With this solution, we will be able to significantly increase the production efficiency of sugar cane customers. At the same time, we will also improve the working conditions and safety of drivers. Therefore, this work will be more attractive and easier. Solicit and retain drivers. 'WilliamLirmann, president of the Volvo Group (Latin America) said so.
Last summer, the research project will enter the product development stage and put more vehicles into field trials. The solution is expected to be introduced to the market in the short term. Volvo Trucks confirmed that it will introduce advanced GPS coordinate map reading systems to its customers. The driver is better able to keep the vehicle in the predetermined lane, but at this stage will continue to be manually manipulated manually.
Automatically piloting driver assistance systems to ensure that the vehicle is moving without error
The self-driving trucks for sugar cane transport are part of the Volvo Truck Automated Vehicle R&D project. The vehicles currently in the pilot phase include self-driving trucks carrying out mining operations at the Kristineberg mine in northern Sweden, as well as being conducted in Gothenburg, Sweden. Tested auto-driving garbage truck. The purpose of the test is to evaluate the effect of systems with different degrees of automation on improving production efficiency, improving the working environment and improving safety.
Original title: Volvo Sugarcane Harvester for Autopilot