<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v7i6.10646</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design and Practice of Intelligent Safety Prevention and Control System for Overseas Power Plants</title><url>https://artdesignp.com/journal/SSR/7/6/10.26689/ssr.v7i6.10646</url><author>DengQinglin,HuangXuexiong,ZhongTiandong</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-06-13</published-time></date></history><abstract>Against the backdrop of the Belt and Road Initiative, overseas thermal power enterprises face challenges such as complex geographical environments, difficult safety supervision, and prominent localized management issues. Huadian Xigang Power Generation Co., Ltd. (Cambodia) has constructed an intelligent safety prevention and control system with global perception as the core based on industrial Internet and artificial intelligence technologies. This paper elaborates on the architectural design, key technology applications, and practical effects of the system. Through innovative means such as 3D digital twin, AI intelligent patrol, and multi-system integration, it realizes the upgrade of safety management in overseas power plants from passive response to active prevention and control, providing a reproducible technical paradigm and management experience for safety governance of energy enterprises along the Belt and Road.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>National Energy Administration, 2021, Guidelines for Safety Management of Overseas Power Projects.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Li J, 2022, Application of Industrial Internet in Power Plant Safety Management. Electric Power Automation Equipment, 2022(5): 89–94.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang ZQ, 2023, A Review of Applications of 3D Digital Twin Technology in Power Systems. Proceedings of the CSEE, 2023(12): 4567–4576.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Ministry of Emergency Management of the People’s Republic of China, 2020, Implementation Guidelines for Safety Risk Classification and Control in Industrial Enterprises.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Chen XM, 2021, Development Status of AI-based Power Equipment Inspection Technology. Automation of Electric Power Systems, 2021(3): 189–196.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
