Intelligent Control System Design Based On Color Sorting Of Solid Wood Floors

Solid wood flooring is a superior material for interior decoration with excellent aesthetic properties.In order to meet the artistic effect of specific interior decoration,the color of solid wood flooring needs to be coordinated and matched.Therefore,flooring companies need to classify the colors of the produced solid wood flooring to meet the personalized requirements of customers.However,manual detection as a traditional method of color classification is no longer able to meet the efficiency and quality requirements of industrial production lines.Manual detection is inefficient,costly,and the different evaluation criteria of technical personnel can also lead to classification errors.Therefore,this study introduces the methods of machine vision and machine learning to design a set of solid wood flooring color sorting system.The system includes corresponding hardware equipment and algorithms and can achieve the sorting of three colors,dark,medium,and light,for different batches of solid wood flooring.Compared with the traditional manual detection method,the system helps to solve the problems of low automation level,high cost,and low sorting efficiency in the solid wood flooring classification process,and has good application value.The main research contents of this paper include the following four aspects:(1)This paper was based on solid wood flooring samples provided by manufacturers in actual production environments.In view of the color classification problem of solid wood flooring,a corresponding color sorting process was designed,and the overall system solution was proposed,along with the system structure diagram.Furthermore,an analysis and selection of image acquisition and processing equipment were conducted,including key devices such as light sources,industrial cameras,lenses,acquisition cards,and main control computers,to ensure image quality and system stability.(2)This study presented a detailed analysis of image feature extraction algorithms and pointed out the shortcomings of traditional methods,such as long computation time and low efficiency.A new image feature extraction method based on the grid method was proposed,which can quickly extract color features without being affected by wood grain interference.Compared to traditional feature extraction methods such as image grayscale conversion,filtering and color histogram,the grid method adopted random sampling and set filtering rules for color feature extraction,which has higher efficiency.(3)This study conducted a comparative analysis of the advantages and disadvantages of deep learning and general machine learning methods,and proposed the use of ensemble learning in machine learning to construct a classification model.The rapid color feature extraction obtained by the grid method was used as input to train the classifier,and the proposed method was evaluated through multiple experiments.The classification accuracy of the proposed model for solid wood flooring reached 97.69%,and the classification time was less than 2ms.(4)Based on the analysis of image algorithms,the mechanical structure design of the solid wood floor color sorting system and the selection of automated sorting system have been completed.The software design of the upper and lower computers and the establishment of the database have also been accomplished.The upper computer software integrates functions such as camera calibration,light source control,and parameter settings,and has scalability,which can be upgraded and expanded.The lower computer software is based on the Kingview and realizes the control of sorting and conveying equipment.Through the Modbus communication protocol and real-time communication with the upper computer,it completes the color sorting of solid wood floors.Finally,a database was established to collect information on solid wood floors from different regions and batches,which facilitates data management and information exchange and improves production efficiency.Based on multiple experiments,the intelligent control system for solid wood floor color sorting developed in this study is able to accurately identify and correctly classify floor colors,and can effectively complete the process of solid wood floor color classification,demonstrating significant value in practical applications.