Research on Automatic Coal Sorting Technology Based on Machine Vision

Abstract

Listen

Translate article

Automatic coal sorting technology based on machine vision has the function of analyzing whether there is material on the conveyor. Contour of image will be found when there is material on conveyor. The average of color will be calculated according to respective proportion of blue component and the red component in the contour. Comparing the average with the setting threshold judges the type of material. The technology has advantage of high efficiency, good stability, reliable, etc. The system also has the function of sending signals to sorting equipment and statistic number of various materials. The system reduces production costs in coal companies, and improves production efficiency, enhance the competitiveness of companies. Introduction Manually sorting coal has disadvantages of low production efficiency and high cost, poor working environment for workers [1-2]. Relay sorting coal has low stability, poor reliability, inconvenience and other shortcomings, which will reduce competitiveness of coal companies in the market [3]. Therefore automatic coal sorting technology based on machine vision is proposed, which can quickly and accurately implement automatic sorting coal by analyzing color characteristics of coal, gangue and metal. The technology has advantages of high efficiency, low cost and stability [4-5]. The system also has the function statistic number of various materials. At the same time, it will send signals to sorting equipment according to the type of material, so that sorting equipments send materials to the corresponding hopper. Components of Coal Sorting System Based on Machine Vision Fig. 1 Machine vision automatic coal sorting system components International Industrial Informatics and Computer Engineering Conference (IIICEC 2015) © 2015. The authors Published by Atlantis Press 416 Hardware structure and relation of machine vision automatic coal sorting system in this paper is shown in Figure 1. The system consists of CMOS color industrial camera, computer, light source, conveyor and the material (including hopper), signal control equipment, drive motor and putt. Detecting Process and Analysis in Coal Sorting System Based on Machine Vision Detection flow chart of coal sorting system is shown in Figure.2. There are four steps:(1)setting parameters;(2)judging whether there are materials on the conveyor;(3)judging whether the material is coal;(4)judging whether the material is metal. Setting parameters Start Capture image Contour Extraction Compare Bave with T and judge conveyor is empty or not Calculate average Bave of the blue component Calculate average Have Compare Have with Tmand judge material is metal or not Calculate the average gray Gave Compare Gave with Tc and judge material is coal or not Y N