LiDAR Stockpile Volume Measurement equipment & Solutions
how does liDAR stockpile volume measurement system work
LiDAR, which stands for Light Detection and Ranging, determines mining material like coal stockpile volume by directing laser beams at the stockpile and measuring the time it takes for the beams to return. These time measurements are then utilised to calculate the distance between the LiDAR sensor and the stockpile surface, resulting in the creation of a three-dimensional point cloud depiction of the stockpile. The volume of the stockpile can be calculated with great accuracy by analysing the point cloud data.
Data Collection: A lidar sensor is used to scan the object surface to obtain point cloud data. It emits a laser beam and then receives the returned laser signals to generate point cloud data representing the surface shape of the object.
Date Preprocessing: It includes denoising, smoothing and registration. Denoising can eliminate some anomalies or noise interference, smoothing can smooth the data and remove unnecessary details, and registration can align multiple point cloud data to the same coordinate system.
- Surface Reconstruction: The discrete point cloud data is converted into a continuous surface model after reconstruction of preprocessed point cloud data. Frequently-used surface reconstruction algorithms include triangular mesh generation, voxel-based reconstruction, and other methods.
- Volume Calculation: Based on the reconstructed surface model, the volume of an irregular object is calculated using a volume calculation algorithm. The surface model can be divided into small voxels, by calculating the volume of which and adding them together, the total volume can be obtained. Volume calculations can also be realized through mathematical integration or numerical integration.
- Data Output: The volume results of irregular objects are output and displayed on a display, or transferred to other systems for further processing and analysis.
Except for measuring the stockpile volume, LiDAR point cloud data generated in different time can also be used to calculate the stockpile change as well as volume difference.
the benefits to use LiDAR equipment to measure stockpile volume
High Accuracy
LiDAR provides highly accurate measurements, which is essential for inventory management and resource allocation. The precision of LiDAR can help companies avoid costly mistakes and make more informed decisions.
High Efficiency
LiDAR is a fast and efficient method for measuring stockpile volumes. Traditional methods, such as manual surveying, can be time-consuming and labor-intensive. LiDAR, on the other hand, can quickly scan large stockpiles and provide accurate volume measurements in a fraction of the time.
Safety
LiDAR is a non-contact measurement method, which means it can be used to measure stockpile volumes without the need for personnel to physically access the stockpile. This is especially important for stockpiles of hazardous materials or in dangerous locations.
Versatility
LiDAR can be used to measure stockpiles of various sizes and shapes. It can also be used in different environments, from open-air stockpiles to enclosed storage facilities.
Data Analysis
The data collected by LiDAR can be easily integrated with other systems and used for further analysis. This can provide valuable insights into inventory management, resource allocation, and other aspects of operations.
Documentation
LiDAR point cloud processing software can be used to create detailed and accurate documentation of stockpile volumes. This can be useful for compliance with regulations, reporting to stakeholders, and other purposes.
Our LiDAR Stockpile Measurement Solutions - Fixed & Real-time data update
System Introduction - Fixed LiDAR Stockpile Volume Measurement System
The fixed LiDAR stockpile measurement system can be installed indoor or outdoor. The installation location of the lidar is determined by the shape, size and characteristics of the stockpile, and it is necessary to ensure that the scanning range of the lidar can cover the entire target object and acquire sufficient point cloud data. To ensure the measurement accuracy, the distance between the lidar and the target object, the angle and the obstruction should also be considered. The lidar should be stably fixed to ensure the accuracy and consistency of the measurement. Suitable brackets and fixing devices can be used to ensure the stable installation of the lidar as well.