A rule-based intelligent perception framework

Haoran Guo; Guiling Wang; Junhui Feng; Bo Yang

doi:10.1117/12.2639862

19 October 2022 A rule-based intelligent perception framework

Haoran Guo, Guiling Wang, Junhui Feng, Bo Yang

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122943C (2022) https://doi.org/10.1117/12.2639862
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

In response to environmental changes, the software should have dynamic response capabilities. To this end, this paper proposes an intelligent software framework that can be evolved, reasoned, and dynamically programmed. The framework of this paper is based on SpringBoot, combined with the use of hot deployment mechanism to realize the framework's evolvability. The frame reasoning part is implemented based on the Rete algorithm. Based on the written rules, the reasoning engine can infer the next state of the system based on the environmental data monitored by the system, and use the state information to complete the equipment control. The ability of Framework programming is reflected in two aspects: the replace-ability of the framework code and the reprogram ability of the rule code. The research results show that the framework has good adaptability in dealing with environmental changes, system changes, and rule changes.

Citation Download Citation

Haoran Guo, Guiling Wang, Junhui Feng, and Bo Yang "A rule-based intelligent perception framework", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122943C (19 October 2022); https://doi.org/10.1117/12.2639862

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available