<?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">EIR</journal-id><journal-title-group><journal-title>Educational Innovation Research</journal-title></journal-title-group><issn>3029-1844</issn><eissn>3029-1852</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/EIR.v4i3.1784</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design of Intelligent Construction Safety Equipment Oriented Towards the Dual Carbon Goals Taking the Intelligent Early-warning Safety Helmet as An Example</title><url>https://artdesignp.com/journal/EIR/4/3/10.18063/EIR.v4i3.1784</url><author>ZhangDi,ZhangHao,ZhangYaxian,JiMingzhang</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>3</issue><history><date date-type="pub"><published-time>2026-03-26</published-time></date></history><abstract>Based on the dual-carbon goal and the development demand for intelligent construction, we take intelligent early warning safety helmet as the research object, analyzing the relationship between the functional design of facilities and low carbon development, it finds out that what is the key early-warning function requirement for safety helmets under the background of smart building. optimizes the functional structure and technical options based on low-carbon design thinking, and explores the path to apply low-carbon materials and energy saving technologies into equipment functional design. The study provides reference for lowcarbon and smart enhancement of safety facilities in intelligent construction.</abstract><keywords>Dual carbon goals,Intelligent construction,Safety equipment design,Intelligent early-warning safety helmets</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Ye T, 2023, Research on Hat-Wearing Detection Based on Improved Faster R-CNN, thesis, Changzhou University.
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