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<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">JWA</journal-id><journal-title-group><journal-title>Journal of World Architecture</journal-title></journal-title-group><issn>2208-3480</issn><eissn>2208-3499</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/jwa.v9i3.10915</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Intelligent Design and Management of Buildings Based on the Internet of Things Engineering</title><url>https://artdesignp.com/journal/JWA/9/3/10.26689/jwa.v9i3.10915</url><author>WangFan</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>3</issue><history><date date-type="pub"><published-time>2025-06-30</published-time></date></history><abstract>The Internet of Things (IoT) technology provides new impetus for the development of building intelligence. This research focuses on the intelligent design and management of buildings based on IoT engineering. It expounds on the system design principles such as sensor technology, communication network technology, and data storage and analysis, and analyzes the key points of design, including design requirement analysis, equipment layout, and system integration. Through specific cases, it demonstrates the application practice of the system in buildings, and presents the application effect of intelligent system management with multi-parameter values, providing theoretical and practical references for the development of building intelligence and helping to achieve efficient, energy-saving, and safe building operation.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Sanchez GA, Vallerotto G, Askins S, et al., 2025, A Smart Semi-Translucent Building-Integrated PV Module Based on Integrated-Tracking Micro-Concentration Providing High Power Density and Active Daylight Management. Solar Energy Materials and Solar Cells, 287: 113246.</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>Liu Y, Zhou S, Cao S, 2025, Optimal Management of Smart Grid Rental and Electric Vehicles for Remote Energy Sharing Between Distinct-Scale Buildings With Novel Business Model Development. Sustainable Cities and Society, 124: 106305.</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>Mei Z, Ding Y, Wang M, et al., 2025, A Colorful Electrochromic Infrared Emissivity Regulator for All-Season Intelligent Thermal Management in Buildings. Advanced Materials, 2025: e2420578.</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>Rojek I, Mikolajewski D, Mrozinski A, et al., 2025, Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study. Energies, 18(7): 1706.</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>Kim J, Park S, Moukhliss S, et al., 2025, Perceptions of Artificial Intelligence (AI) in the Construction Industry Among Undergraduate Construction Management Students: Case Study—A Study of Future Leaders. Buildings, 15(7): 1095.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Shen R, Zheng R, Yang D, et al., 2025, Towards Intelligent Management of Regional Building Energy Systems: A Framework Combined With Deep Reinforcement Learning for Hybrid Energy Storage. Energy Conversion and Management, 329: 119656.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Briones GA, Sanchez PJ, Vale Z, et al., 2025, Evolution of Building Energy Management Systems for Greater Sustainability Through Explainable Artificial Intelligence Models. Engineering Applications of Artificial Intelligence, 147: 110324.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Javaherikhah A, Sarvari H, 2025, Implementing Building Information Modeling to Enhance Smart Airport Facility Management: An AHP–SWOT Approach. CivilEng, 6(1): 15.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Wang J, Du J, Luo D, et al., 2025, Retraction Notice to ‘An Optimal Multi-Objective Demand Side Management of a Smart Microgrid Consists of Various Building Loads, Considering Relativity Index and Uncertainty’. Journal of Building Engineering, 101: 111829.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Cascone S, Parisi G, Caponetto R, 2024, BIM-Based Strategies for the Revitalization and Automated Management of Buildings: A Case Study. Sustainability, 16(16): 6720.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Franco A, Crisostomi E, Dalmiani S, et al., 2024, Synergy in Action: Integrating Environmental Monitoring, Energy Efficiency, and IoT for Safer Shared Buildings. Buildings, 14(4): 1077.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Arka G, Jemal A, Morshed C, 2024, Redefining the Construction Managerial Landscape to Facilitate Industry 4.0 Implementation: Scientometric Mapping of Research Frontiers. Construction Innovation, 24(3): 657–683.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Jelle V, Emiel D, Pieter B, et al., 2023, Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings. Sensors, 23(5): 2459.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Gnecco VM, Vittori F, Pisello AL, 2023, Digital Twins for Decoding Human-Building Interaction in Multi-Domain Test-Rooms for Environmental Comfort and Energy Saving via Graph Representation. Energy and Buildings, 279: 1–32.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Muhammad U, Salah KAY, Karam JAM, et al., 2022, A Low-Cost IoT-Based Buildings Management System (BMS) Using Arduino Mega 2560 and Raspberry Pi 4 for Smart Monitoring and Automation. International Journal of Electrical and Computer Engineering Systems, 13(3): 219–236.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Baradaran M, Khosravi RM, Akbarzadeh O, 2021, IoT Solutions for Smart Management of Hospital Buildings: A General Review Towards COVID-19, Future Pandemics, and Infectious Diseases. Current Signal Transduction Therapy, 16(3): 240–246.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Yu M, Menglu Y, Hao J, 2020, Application of Computer Internet of Things Technology in Building Intelligent System. Journal of Physics: Conference Series, 1648(2): 022184</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
