The production technology of petrochemical forgings is highly complex and requires a lot of experience. Traditionally, the transmission of this technology mainly relies on the way that masters teach apprentices, but this method is inefficient and prone to the loss or mistransmission of key technical information in the process of transmission. With the development of science and technology, technology mining and inheritance based on knowledge graph has become possible. This paper will discuss how to use knowledge graph technology to dig and inherit the production technology of petrochemical forgings.
Application of knowledge graph in mining technology of petrochemical forgings production
Establish knowledge map: First of all, it is necessary to establish knowledge map for various technical elements in the production process of petrochemical forgings. This knowledge graph can include information on the characteristics of raw materials, parameters of processing equipment, production processes, quality control, and so on.
Data acquisition: The knowledge graph is filled and improved by collecting historical data, production logs, process documents, etc. These data can be derived from the enterprise’s production management system, process design software, etc.
Knowledge mining: Using data mining and machine learning techniques to process and analyze the data in the knowledge graph. For example, it is possible to discover the correlation between certain characteristics of a raw material and the quality of the product, or to find the optimal combination of production processes and parameters.
Technical inheritance: The technical knowledge and experience mined are expressed and passed on in the form of graphs, so that more technical personnel can easily learn and apply these knowledge.
Application of knowledge graph in technical inheritance of petrochemical forgings production
Online education: Using the Knowledge graph, an online education platform can be established so that new employees or interested persons can learn the relevant knowledge of petrochemical forgings production through the Internet.
Intelligent Assistant: By integrating the knowledge graph into the production equipment or production management system, an intelligent assistant can be built to help employees better understand and apply production technologies.
Decision support: The knowledge graph can also provide support to decision makers, such as helping to make production plans and optimize resource allocation.
Technological innovation: Through the analysis and processing of the knowledge graph, new technological innovation and R&D inspiration can be inspired to promote the continuous progress of the production of petrochemical forgings.
The technology mining and inheritance of petrochemical forgings based on knowledge graph is an efficient and accurate method, which can express and pass on complex production technology in a structured way. By applying data mining and machine learning techniques, we can better understand and optimize the production process, improve production efficiency and product quality. At the same time, by establishing applications such as online education platforms and intelligent assistants, we can better inherit and promote the production technology of petrochemical forgings and promote the progress of the entire industry. In the future, with the continuous development of technology, the mining and inheritance of petrochemical forgings production technology based on knowledge graph will have more innovations and applications.
