Intelligent Control of Production Systems

Introduction. The research is devoted to the problem of building intelligent production management systems. They allow organizing modern efficient production without human participation in its management. Problem. To develop a scheme for creating an algorithm underlying the creation of an intelligent production management system, using the example of a mechanical workshop of a machine-building enterprise. Purpose. To present a scheme for constructing an intelligent control of management system (workshop), which is developed based on the application of an intelligent modeling algorithm and the use of a set of knowledge about the subject area. Methods. The main method used in the development of an intelligent control system is the method of intelligent modeling, which is applied to the knowledge of the machine-building enterprise workshop. Result. A diagram of an intelligent shop management system is built based on the use of knowledge that describes this shop. The model of the workshop is proposed. It consists of a system of plans describing the work of the workshop. Not only the production process is planned, but also material and technical supply, resources, and financial management. Plans are built using the scheduling theory. Conclusion. An intelligent management system at an enterprise implies the possibility of management without human participation in the management process. This system is based on obtaining information about the state of all elements of business processes based on the use of cyber-physical systems and the Internet of things.

Apparel Design and Development Based on 3D Scanning Technology

With the development of computer science, especially the application of 3D scanning technology in garment design, intelligent modeling is realized, which is impossible to achieve in traditional design methods. In this paper, we propose the 3D model construction of human garments based on the motion recovery structure method. The eigenmatrix is obtained from the camera parameters, and the transformation matrix is calculated by matching the image feature points with the help of scale-invariant feature conversion algorithm to realize the 3D reconstruction technology of human garments based on multiview image sequences. The effectiveness of this method is verified through experiments, and it has good robustness and accuracy. Through the form of style modeling, the design thinking and method can be extended to form a more reasonable garment structure and guide the innovation of garment production mode.