Menu
Traditional coal mining methods have a series of problems, such as frequent mining disasters, high labor costs, dangerous working environments, and difficulties in improving mining efficiency. This not only jeopardizes safe production, but also leads to massive waste of resources and energy, and negative impacts on environmental protection. In order to address these challenges, companies are beginning to recognize that automation is the future development trend. The adoption of autonomous mining trucks can improve safety and operational efficiency, and proactively promote the industry’s transformation towards intelligence.
During the operation of mining trucks in the mining area, there are many blind spots, which poses challenges for safe driving. The installation of LiDAR can solve the blind spot problem of mining trucks in the mining area and achieve omnidirectional environmental awareness and blind spot detection. By 3D mapping of the environment and detecting objects within and around the path, LiDAR can provide detailed environmental information, effectively reduce hidden dangers caused by blind spots, and improve the safety of mining trucks.
Combining LSLiDAR’s multi-sensor fusion perception system, integrating LiDAR, millimeter wave radar and camera to achieve complementarity of multi-sensor functions. This ensures redundancy for safe autonomous driving, and enables stable omnidirectional perception of the surrounding environment, covering 360° range. At the same time, LS-3D SLAM technology combined with GPS and inertial navigation creates high-precision point cloud maps to achieve accurate positioning and autonomous navigation. In addition, leading neural network algorithms are used to accurately identify target attributes through deep learning and output surrounding environmental information in real time.
Compared with public roads, mining area roads face more adverse factors such as extreme cold climate, large amount of dust and bumpy roads. In mining areas, the temperature can drop to below minus 40 °C, and the roads are relatively more uneven and bumpy. In addition, there is a large amount of dust on mining area roads, which brings challenges to the daily driving of mining trucks.
LSLiDAR’s LiDAR has undergone strict reliability testing. It adopts a solid-state structural design with high protection levels (IP68 and IP6K9K) and a wide working temperature range of -40°C to 85°C. Whether in extreme cold, large amounts of dust or extreme temperatures, the LSLiDAR always maintains high reliability and stability, providing excellent environmental perception and data accuracy.
LSLiDAR has formed a set of LiDAR dust and fog filtering algorithms through massive comparative experiments and calculations of dust and fog characteristics with point cloud algorithms, targeting the dust and fog issues encountered by mining trucks, vehicles and robots during driving and operation. It continuously provides stable and accurate measurement data to meet the challenges of mining area roads, ensuring safe and efficient operation.
Copyright©2023 Leishen Intelligent System Co., Ltd.
Please Leave Your Message
Thank you very much for your approval of LSLiDAR, we will do our best to serve you ! We will respond to your intended needs within 24 hours, thank you for your support.
*Please fill in the correct email address to avoid failure to receive messages/files.
Please Leave Your Message
Thank you very much for your approval of LSLiDAR, we will do our best to serve you ! We will respond to your intended needs within 24 hours, thank you for your support.
*Please fill in the correct email address to avoid failure to receive messages/files.