人工智能与生产过程中本质安全的实现

崔铁军; 李莎莎

doi:10.12052/gdutxb.210077

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人工智能与生产过程中本质安全的实现

更新时间：2026-05-27

- 人工智能与生产过程中本质安全的实现
- Realization of Intrinsic Safety in Production Process Based on Artificial Intelligence
- 广东工业大学学报 2021年38卷第6期页码：84-90
- 作者机构：
  
  1. 辽宁工程技术大学安全科学与工程学院,辽宁,葫芦岛,125105
  2. 辽宁工程技术大学工商管理学院,辽宁,葫芦岛,125105
- 作者简介：
  
  崔铁军(1983–)，男，副教授，博士，主要研究方向为系统安全与可靠性理论，E-mail：ctj.159@163.com
- 基金信息：
  
  国家自然科学基金资助项目(52004120);辽宁省教育厅科学研究经费项目(LJ2020QNL018);国家重点研发计划项目(2017YFC1503102);辽宁工程技术大学学科创新团队资助项目(LNTU20TD-31)
- DOI：10.12052/gdutxb.210077
  中图分类号： TP18
- 网络首发：2021-11-10，
  
  纸质出版：2021
- 稿件说明：
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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(6): 84-90.

Cui Tie-jun, Li Sha-sha. Realization of Intrinsic Safety in Production Process Based on Artificial Intelligence[J]. 2021, 38(6): 84-90.
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(6): 84-90. DOI： 10.12052/gdutxb.210077.

Cui Tie-jun, Li Sha-sha. Realization of Intrinsic Safety in Production Process Based on Artificial Intelligence[J]. 2021, 38(6): 84-90. DOI： 10.12052/gdutxb.210077.

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。

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.

关键词

Keywords

references

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