Trend 4: Industrial Knowledge Graph

Industrial knowledge graph technology drives the application of knowledge fusion throughout product life cycle

Knowledge graph is a knowledge representation method based on semantic web technology, which abstracts and models entities, attributes and relations to form a graph structure with semantic expression ability. In the industrial field, knowledge graph can model the knowledge in the industrial field and form a graph structure with semantic expression ability, so as to realize the storage, management, reasoning and application of knowledge in the industrial field. The industrial knowledge graph drives the knowledge fusion application of the whole life cycle, and multi-link, AI-driven, and security have become the three key trends.

The first is the rapid penetration of industrial knowledge graph technology into the multi-link industrial production chain. To help enterprises integrate and utilize various production data, equipment data, quality data and other aspects of professional knowledge, to provide enterprises with production optimization and quality control decision support; Second, artificial intelligence accelerates the landing of industrial knowledge graph. Knowledge graph can provide AI with cognition and understanding ability, and AI is also accelerating the construction of enterprise knowledge graph, including obtaining professional knowledge in various literatures, patent information, technical standards, etc., and automatically processing professional knowledge in various equipment information, process parameters, quality data, etc. Third, the application of industrial knowledge graph technology will pay more attention to data quality and data security. With the domestic regulation and policy optimization in data security, industrial enterprises will pay more attention to data quality and data security issues, and propose more effective solutions.

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Trend five: Industrial mechanism models

Industrial knowledge is injected into the general model, breeding the industrial model landing

Industrial mechanism model technology refers to the use of artificial intelligence technology, especially general large model technology to build industrial mechanism model with massive parameters, strong generalization ability and cross-field adaptability. The main goal of industrial mechanism modeling technology is to integrate the professional knowledge and experience of the industrial field into the general large model in the way of knowledge injection, and to breed the industrial mechanism large model with the characteristics of the industrial field.

2023 is the first year of the “phenomenal” growth and large-scale application of the general large model of artificial intelligence, for industrial enterprises, the use of knowledge injection to integrate industrial mechanism with the general large model will become a key trend in the next 1-2 years. Through knowledge injection, the industrial large model with industrial mechanism will obtain a strong vertical industry landing ability, and help industrial enterprises to obtain more lucrative business benefits.

One is to process more types of industrial data. Such as text, image, video, sound, sensor data and other multi-modal data; The second is to process data across industrial fields and specialties. Such as machinery, electrical, chemical, materials, etc.; The third is to perform a variety of industrial scenarios and tasks. For example, fault diagnosis, quality inspection, process optimization, production scheduling, product design, etc. The fourth is to provide robust and interpretable results. The reasoning process, evidence support and confidence evaluation are given for industrial cognition and decision conclusion.