Key Technology And Application Of Smart Manufacturing Line For Multi-varieties And Small-batch Production

The proposal of “Industrial 4.0” has inspired a new round of technological revolution in the manufacturing industry.China has put forward " Made in China 2025" strategy and vigorously promote the industrial upgrading of China's manufacturing industry.The above measures are derived from the traditional production mode with large-quantities and fewvarieties production,which is hard to meet the increasing individualized consumption demand.Thus,it's of great significance to study the new generation of smart manufacturing system to meet the mass production of Multi-varieties,small-batch and personalized products.Aiming at the shortage of traditional manufacturing capability in the new situation,this paper puts forward specific solutions by studying the key technologies of the new generation of smart manufacturing system.The main works are as follows:Firstly,for better manufacturing resources description and intelligent decision making,this paper introduces ontology technology.Based on the characteristics of the existing ontology,we use OWL(Web Ontology Language)as the ontology language and Protégé software is choosed to complete the manufacturing resource ontology construction.Based on that,the Apache Jena toolkit is applied to realize the implicit information reasoning.Secondly,physical entity perception and information interaction are studied.For the former,this paper proposes a RFID based physical entity perception which achieves information tracking for each order production process.For the latter,this paper discusses and compares the two mainstream information interaction technologies: Data Distribution Service(DDS)and OPC unified architecture(OPC UA).Considering the actual production circumstances,we chose OPC UA as the final solution.After multiple groups of contrast tests,we decide 100 ms as the data sampling period which satisfies both real-time performance and data integrity.Then,the mainstream shop scheduling algorithms are discussed for multi-varieties,smallbatch and personalized production.After analyzing characteristics of multi-varieties and smallbatch production,the genetic algorithm is adopted as the core algorithm.Finally,based on the above three key technologies,the experimental verification is carried out with Smart Manufacturing Laboratory of South China University of Technology.The experimental results verify the reasonableness and effectiveness of proposed key technologies.