[1]周屹炜,刘丰华,吕佳龙,等.基于视频的含能材料生产智能管控应用研究[J].工业仪表与自动化装置,2023,(02):3-7+56.[doi:10.19950/j.cnki.cn61-1121/th.2023.02.001]
　ZHOU Yiwei,LIU Fenghua,L? Jialong,et al.Research on application of video based artificial intelligence management and control during energetic material production[J].Industrial Instrumentation & Automation,2023,(02):3-7+56.[doi:10.19950/j.cnki.cn61-1121/th.2023.02.001]

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基于视频的含能材料生产智能管控应用研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:

期数:

2023年02期

页码:

3-7+56

栏目:

出版日期:

2023-04-15

文章信息/Info

Title:

Research on application of video based artificial intelligence management and control during energetic material production

文章编号:

1000-0682（2023）02-0003-05

作者:

周屹炜1; 刘丰华2; 吕佳龙3; 何爱军1; 苏 关1

1.中国兵器工业规划研究院，北京 100070;

2.山东凯乐化工有限公司，山东 枣庄 277011;

3.山西北方兴安化学工业有限公司，山西 太原 030000

Author(s):

ZHOU Yiwei1; LIU Fenghua2; L? Jialong3; HE Aijun1;  SU Guan1

1. NORINCO Group Planning And Research Institute,Beijing 100070, China;

2. Shandong Kaile Chemical Co., Ltd., Shandong Zaozhuang 277011, China;

3. NORINCOG Shanxi North Chemical Industry CO.LTD.,Shanxi Taiyuan 030000,China

关键词:

视频监控; 智能管控技术; 人员不安全行为; 物料不安全状态; 智能视频识别系统

Keywords:

video surveillance;  intelligent control technology;  unsafe behavior of personnel;  unsafe material status;  intelligent video recognition system

分类号:

TP315

DOI:

10.19950/j.cnki.cn61-1121/th.2023.02.001

文献标志码:

A

摘要:

随着含能材料生产过程中视频监控点位数量增多，为了避免人工监控造成生产异常情况的遗漏，采用智能识别技术对违规行为进行管控，开展了智能化视频监控体系研究。以太原市某厂为例，结合管控需求确定了4项需要实现智能管控的项目；以9种基本框架为基础，提出了4项智能视频识别算法及系统的整体设计方案。在实施管控后，人员不安全行为的发生率降低至最大值的16%以下，物料不安全状态的报警次数增加至管控前的12倍。通过对比管控前后的变化，提出了4项可能影响智能管控效果的因素。

Abstract:

With the increasing number of video monitoring points during the energetic materials production, in order to avoid the omission of abnormal production conditions caused by manual monitoring, intelligent identification technology is used to control violations, and intelligentvideo monitoring system research is carried out. Taking a factory in Taiyuan as an example, fouritems that need to be controlled by video recognition are determined by the control requirements. Based on nine basic frameworks, four intelligent video recognition algorithm and system design scheme are proposed.After the control is implemented, the human unsafe behaviors decrease to less than 16% of the ma-ximum value, and the number of alarms for unsafe status of materials increases to 12 times than before. By comparing the changes before and after the control, four factors that may affect the effect of intelligent control are proposed.

参考文献/References:

[1]耿山,吕建中.基于AI技术的无人机机载前端智能图像识别[J].河北电力技术,2022,41(01):16-19.

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备注/Memo

备注/Memo:

收稿日期：2022-09-23?div>基金项目：

中国兵器集团2021年度科技开发费项目(JY2021026)

第一作者：

周屹炜（1996-），男，河北省无极县人，硕士研究生，助理工程师，研究方向为信息化综合管控研究，安全相关管控算法研究，生产工艺无人化改造，仓储无人化建设研究等。

通信作者：

何爱军（1984-），女，河北唐山，博士，正高级工程师，危险作业场所智能化管控及防护结构设计研究。

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