3D contour scanning LiDAR enables the loading of bulk aggregates towards digital intelligence
2024-01-17 14:57:22
In recent years, the intelligentization of traditional industries has quietly changed our lives, and all industries are undergoing a transformation. The development of digital technology has brought more possibilities to the industrial field, and industrial enterprises are striving to reduce costs and increase efficiency through various methods, moving towards the direction of industrial digitization.
At present, the aggregate and clinker loading lines in the cement industry still rely more on manually controlled loading methods. This loading method has problems such as incomplete liberation of manpower, low loading efficiency, uneven loading, and material scattering. The addition of manpower also increases safety hazards, and the overall operating cost of the company is relatively high. Some enterprises have upgraded their loading systems and built self-service or remote loading systems, which have indeed saved manpower. However, cement plants still report many problems that affect shipping efficiency.
For the rapid loading stations and traditional silo loading in the cement industry, laser radar is deployed to model the on-site loading environment in real time. AI algorithms are used to analyze point cloud data, connect with existing equipment and systems on site, replace manual guidance on the operation of existing loading equipment on site, and achieve functions such as belt control, quantitative silo replenishment, automatic chute control, and quantitative coal feeder control. At the same time, automatic prompts for on-site vehicle movements are provided to achieve automatic quantitative loading.
The H13 3D contour scanning LiDAR can be upgraded to an intelligent automatic quantitative loading control system by adding LiDAR sensors and their soft and hard accessories on the basis of the user's original vehicle system. This system has many advantages such as high measurement accuracy, high work efficiency, the ability to save a lot of labor costs for enterprises, and small amount of renovation work, greatly improving the loading efficiency of aggregates and clinker!
The H1X 3D contour scanning LiDAR, combined with a servo motor, can scan a 3D large field of view covering 180 ° * 160 ° (adjustable) and detect materials and goods in a designated area. It can output characteristic information such as height, volume, and detection time of bulk materials and goods. When the radar scans that the volume of the bulk material has reached the preset value, it will immediately send a signal, causing the system to automatically stop cutting. Based on mature vehicle contour detection algorithms, the position of the hopper is determined, and the signal is sent to guide the vehicle to move forward and backward, improving the loading speed and measurement accuracy, as well as greatly improving work efficiency.
LEIMOU LiDAR can achieve the core value of "cost reduction, quality improvement, and efficiency enhancement" through intelligent detection, intelligent management, and unmanned operation, which meets the requirements of national information and intelligent construction and provides professional technical support and services for the development of industrial digitization.
At present, the aggregate and clinker loading lines in the cement industry still rely more on manually controlled loading methods. This loading method has problems such as incomplete liberation of manpower, low loading efficiency, uneven loading, and material scattering. The addition of manpower also increases safety hazards, and the overall operating cost of the company is relatively high. Some enterprises have upgraded their loading systems and built self-service or remote loading systems, which have indeed saved manpower. However, cement plants still report many problems that affect shipping efficiency.
For the rapid loading stations and traditional silo loading in the cement industry, laser radar is deployed to model the on-site loading environment in real time. AI algorithms are used to analyze point cloud data, connect with existing equipment and systems on site, replace manual guidance on the operation of existing loading equipment on site, and achieve functions such as belt control, quantitative silo replenishment, automatic chute control, and quantitative coal feeder control. At the same time, automatic prompts for on-site vehicle movements are provided to achieve automatic quantitative loading.
The H13 3D contour scanning LiDAR can be upgraded to an intelligent automatic quantitative loading control system by adding LiDAR sensors and their soft and hard accessories on the basis of the user's original vehicle system. This system has many advantages such as high measurement accuracy, high work efficiency, the ability to save a lot of labor costs for enterprises, and small amount of renovation work, greatly improving the loading efficiency of aggregates and clinker!
The H1X 3D contour scanning LiDAR, combined with a servo motor, can scan a 3D large field of view covering 180 ° * 160 ° (adjustable) and detect materials and goods in a designated area. It can output characteristic information such as height, volume, and detection time of bulk materials and goods. When the radar scans that the volume of the bulk material has reached the preset value, it will immediately send a signal, causing the system to automatically stop cutting. Based on mature vehicle contour detection algorithms, the position of the hopper is determined, and the signal is sent to guide the vehicle to move forward and backward, improving the loading speed and measurement accuracy, as well as greatly improving work efficiency.
LEIMOU LiDAR can achieve the core value of "cost reduction, quality improvement, and efficiency enhancement" through intelligent detection, intelligent management, and unmanned operation, which meets the requirements of national information and intelligent construction and provides professional technical support and services for the development of industrial digitization.
English
中文