人工智能与生产过程中本质安全的实现

doi:10.12052/gdutxb.210077

摘要/Abstract

摘要： 为研究生产系统实现本质安全的途径, 提出了通过建立人工智能管理系统实现生产系统本质安全的方法。首先论述了本质安全的概念与问题, 包括人、机、环境和管理各子系统在生产系统中的作用和特征, 论述了它们对实现本质安全的阻碍; 其次论述了人工智能实现本质安全的可行性, 建立了人工智能生产系统结构, 与原有结构相比, 操作者消失、管理者作用改变、增加反馈机制、系统复杂程度下降; 最后讨论了实现本质安全的途径, 即构建人工智能管理系统, 其具有双循环和自学习特征。虽然故障模式识别和故障知识库等相关理论尚不成熟, 但通过建立人工智能管理系统实现生产过程本质安全是可行的。

关键词: 人工智能, 生产过程, 本质安全, 人工智能管理系统, 双循环, 自学习

Abstract: To study the way to realize the intrinsic safety of production system, the method of realizing the intrinsic safety of production system by establishing artificial intelligence management system is proposed. Firstly, the concept and problems of intrinsic safety are discussed, including the functions and characteristics of human, machine, environment and management subsystems in the production system, and their obstacles to the realization of intrinsic safety also studied; secondly, the feasibility of realizing intrinsic safety by artificial intelligence is discussed, and the structure of artificial intelligence production system established. Compared with the original structure, the operator disappears, the role of manager changes and increases feedback mechanism and system complexity is decreased. Finally, the way to realize intrinsic safety is discussed, that is to build an artificial intelligence management system, which has the characteristics of double cycle and self-learning. Although the theory of fault pattern recognition and fault knowledge base is not mature, it is feasible to realize the intrinsic safety of production process by establishing artificial intelligence management system.

Key words: artificial intelligence, production process, intrinsic safety, artificial intelligence management system, double circulation, self-learning

中图分类号:

TP18

崔铁军, 李莎莎. 人工智能与生产过程中本质安全的实现[J]. 广东工业大学学报, 2021, 38(06): 84-90.

Cui Tie-jun, Li Sha-sha. Realization of Intrinsic Safety in Production Process Based on Artificial Intelligence[J]. Journal of Guangdong University of Technology, 2021, 38(06): 84-90.

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