Limestone Fragmentation Analysis Using Real Time Digital Imaging
Precise estimation of blasting rock fragments is of extraordinary essentialness in hard rock drill and blast operations. The post-blast rock size appropriation can essentially impact the productivity of all the proceeding mining works. Picture processing techniques are one of the most well-known strategies used to quantify blast rock fragments size dissemination in mines paying little mind to analysis for absence of exactness to fragment fine particles and other saw inadequacies. The present act of gathering rock fragmentation information for picture processing is profoundly manual and furnishes information with low transient and spatial goals. Utilizing drones for gathering excellent pictures of rock parts cannot just improve the nature of the picture information yet additionally computerize the information assortment process. Eventually, constant obtaining of high worldly and spatial-goals information dependent on drone innovation will give a wide scope of chances for both improving shoot structure without intruding on the production procedure. This research work is to determine fragment size distribution utilizing imaging by camera mount drone and Kuz-Ram model so as to improve the general handling of blasted material. This work likewise features the advantages of real-time investigation as far as both expectation precision and time. Rock sections from a several blasts were shot by a camera connected to drone, and the fragment size distribution were created in practically real-time. The after-blast investigation was likewise done utilizing Kuz-Ram model and the outcomes contrasted with the drone technique. Considering the blast parameters, the outcome can additionally be utilized for advancement of models and frameworks which better foresee and examinations blast fragmentation in mines.