Abstract
Due to the influence of factors such as environment, materials and so on in the ceramic production process, different levels and different kinds of defects such as crack, fall slag, deformation, roast flower sticky glaze and so on appeared on ceramic products. In this case, the artificial discerning and classification efficiency is very low. In order to improve ceramic products quality classification efficiency and intelligent level, a kind of method of applying multi-agent technology to ceramic products quality grade classification is presented, and the ceramic classification system structure and function implementation scheme based on multi-agent technology are also given in the paper. At the same time, Kalman filtering algorithm and C4.5 classification algorithm is effectively fused to process data by the multi-agent. In the end, an application example is given. Through applying the method proposed to the sampling daily-use porcelain classification, the result shows that the method proposed is effective and feasible in the daily-use porcelain classification. This will provide a new approach and new idea for the application of multi-agent technology to the ceramics field.
Highlights
In ceramic production process, uncertain factors such as raw materials preparation, temperature control and so on can lead to various defects of eventually fired ceramics, including crack, deformation, fall slag, roast flower sticky glaze, crack glaze, brown eye, spots, dirty marks, dirty Al2O3, glaze peels edge peeling, excess glaze, orange glaze, glaze bubble, glazed, ripple, smoked, off color, melt hole, body powder, concave and convex, and so on[1]
Ceramic products mainly rely on manual screening, and qualified or unqualified products rely on artificial experience judgment
Multi-agent alliance network structure was used to analyze data, a small multi-agent alliance network used for detection and classification is rebuilt on the basis of the fully multi-agent network structure of ceramic production process control system[5,6,7,8]
Summary
It is generally regarded that the agent concept came from the Dartmouth conference launched together by the father of artificial intelligence, a computer scientist Marvin Ming and the founder of framework theory, J. With the development of science and technology, the agent is given more and more new features and is generally with three basic features shown in Figure1[9]. Autonomy means that it is without persons or other devices’ direct interference and with the ability to control their own behavior; Groups means that it can work with other agents together to achieve shared goals; Self-adaption means that it is with the ability to change their behavior by learning. The organization means the structuralization and management of relationship among agents
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
