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用于工人安全的多模态集成人工智能模型管理架构

Management Architecture With Multi-modal Ensemble AI Models for Worker Safety.

作者信息

Lee Dongyeop, Lim Daesik, Park Jongseok, Woo Soojeong, Moon Youngho, Jung Aesol

机构信息

Team of Occupational Safety, Convergence Technology Lab, KEPCO Research Institute, Daejeon, Republic of Korea.

出版信息

Saf Health Work. 2024 Sep;15(3):373-378. doi: 10.1016/j.shaw.2024.04.008. Epub 2024 May 4.

DOI:10.1016/j.shaw.2024.04.008
PMID:39309290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11410721/
Abstract

INTRODUCTION

Following the Republic of Korea electric power industry site-specific safety management system, this paper proposes a novel safety autonomous platform (SAP) architecture that can automatically and precisely manage on-site safety through ensemble artificial intelligence (AI) models. The ensemble AI model was generated from video information and worker's biometric information as learning data and the estimation results of this model are based on standard operating procedures of the workplace and safety rules.

METHODS

The ensemble AI model is designed and implemented by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, HUE, and ELK (Elasticsearch, Logstash, Kibana).

RESULTS

The functional evaluation shows that the main function of this SAP architecture was operated successfully.

DISCUSSION

The proposed model is confirmed to work well with safety mobility gateways to provide some safety applications.

摘要

引言

遵循大韩民国电力行业特定场所安全管理系统，本文提出了一种新颖的安全自主平台（SAP）架构，该架构可通过集成人工智能（AI）模型自动且精确地管理现场安全。集成AI模型由视频信息和工人生物特征信息作为学习数据生成，该模型的估计结果基于工作场所的标准操作程序和安全规则。

方法

集成AI模型由Hadoop生态系统与Kafka/NiFi、Spark/Hive、HUE和ELK（Elasticsearch、Logstash、Kibana）设计并实现。

结果

功能评估表明，该SAP架构的主要功能运行成功。

讨论

所提出的模型经证实与安全移动网关配合良好，可提供一些安全应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/8f63596883cd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/10750866197c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/54aab089a0fb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/60bea1f409c1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/629f0d71a9d9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/427a926057e7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/072952584c32/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/8f63596883cd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/10750866197c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/54aab089a0fb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/60bea1f409c1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/629f0d71a9d9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/427a926057e7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/072952584c32/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de54/11410721/8f63596883cd/gr7.jpg

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