Open AccessResearch on the Application and Analysis of Mechanical Equipment Intelligence Based on Knowledge Graph
Author(s) -
Rui Qi,
Jing Chen,
ZengWen Yu,
Wenjun Ke,
Rui Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2171/1/012018
Subject(s) - competitive intelligence , computer science , marketing and artificial intelligence , process (computing) , graph , knowledge management , key (lock) , intelligence analysis , artificial intelligence , manufacturing engineering , data science , engineering , intelligent decision support system , computer security , theoretical computer science , operating system
With the rapid evolution of manufacturing technology, mechanical equipment products are being replaced more frequently, and competition in the industry is becoming increasingly fierce. The collection and analysis of mechanical equipment technical intelligence is a key need for many enterprises. Using artificial intelligence technology to build an intelligence analysis system for all types of data is the inevitable trend of intelligence analysis. This paper proposes an intelligent processing and analysis framework of mechanical equipment intelligence. Based on the construction of knowledge graph, the knowledge embedding model is used to complete knowledge reasoning, predict development trends for mechanical equipment, and allow for more intelligent decision-making. A case study involving 3D printing shows the functions of the intelligence process and analysis framework.