Under the Processing of Network Data Images, the Position Recognition Technology of Mechanical Parts Based on "Mathematical Modeling" is Studied

Abstract

With the development of the times and the progress of society, science and technology has been developing more and more rapidly. In this regard, modern society has been composed of science and technology. Compared with the original steam engine, Jenny textile machine and other industrial era starters, now the technology has entered the era of large machines. As a result, the processing of mechanical parts is becoming more and more complex than before. Therefore, the purpose of this paper is to use the network data image processing based on mathematical modeling of mechanical parts processing location recognition technology. After consulting the relevant literature on mechanical parts processing and location recognition technology, this paper goes to the factory to observe the mechanical working principle and mechanical working process, and then uses the two-dimensional spectral peak search algorithm to design the position recognition technology in the process of mechanical parts processing to process mechanical parts based on mathematical modeling. The experimental results show that the two-dimensional spectral peak search algorithm can make the system better point out the relevant problems in the process of mechanical parts processing and solve them intelligently, and if there are problems that cannot be solved, it will be fed back to the system informer in time to check. Finally, the accuracy and correctness of mechanical parts processing are improved, and some improvements are put forward for mechanical parts processing, which is of great help to mechanical parts processing.