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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">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</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/jera.v8i3.7221</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Temperature-Based Fan Speed Optimization Strategy</title><url>https://artdesignp.com/journal/JERA/8/3/10.26689/jera.v8i3.7221</url><author>WangChucheng,LuoChongyi,WeiJunnian,PengHaiyang,ZhongXiaorong,YeCai</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2024-06-14</published-time></date></history><abstract>As energy efficiency and indoor comfort increasingly become key standards in modern residential and office environments, research on intelligent fan speed control systems has become particularly important. This study aims to develop a temperature-feedback-based fan speed optimization strategy to achieve higher energy efficiency and user comfort. Firstly, by analyzing existing fan speed control technologies, their main limitations are identified, such as the inability to achieve smooth speed transitions. To address this issue, a BP-PID speed control algorithm is designed, which dynamically adjusts fan speed based on indoor temperature changes. Experimental validation demonstrates that the designed system can achieve smooth speed transitions compared to traditional fan systems while maintaining stable indoor temperatures. Furthermore, the real-time responsiveness of the system is crucial for enhancing user comfort. Our research not only demonstrates the feasibility of temperature-based fan speed optimization strategies in both theory and practice but also provides valuable insights for energy management in future smart home environments. Ultimately, this research outcome will facilitate the development of smart home systems and have a positive impact on environmental sustainability.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Shen Y, Meng Y, Wang R, et al., 2022, Design of Intelligent Electric Fan Based on Fuzzy Control. Journal of Xiangnan University, 43(02): 104–111.</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>Geng M, Yin M, Wang B, et al., 2023, Intelligent Speed Control Design of Server Fan Based on Fitting Function. Mechanical and Electrical Engineering Technology, 52(06): 183–185 + 230.</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>Deng J, He Y, 2023, Design of Intelligent Fan Control System. Electronic Production, 31(10): 41–43 + 63.</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>D’Apice C, D’Arienzo PM, Dudin A, et al., 2023, Optimal Hysteresis Control via a Queuing System with Two Heterogeneous Energy-Consuming Servers. Mathematics, 11(21): 4515.</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 Z, Liu J, Lin Y, et al., 2023, Intelligent Humidifying Fan with Face Tracking Based on STM32. Wireless Interconnection Technology, 20(10): 41–43.</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>Yin P, Xiao Q, Su L, 2023, Design of Intelligent Fan Control System Based on Microcontroller. Papermaking Equipment and Materials, 52(05): 37–39.</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>Zhang S, Mo K, Luo X, et al., 2023, Research on Intelligent Fan Based on Microcontroller. Electronic Production, 31(08): 93 + 98–101.</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>Iriho K, Mduma N, Machuve D, 2022, IoT Based Smart Fan Controller and Fire Prevention in Computer Laboratory. International Journal of Advanced Technology and Engineering Exploration (IJATEE), 9(94): 7454.</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>Shu R, Gong H, Hu G, 2022, Novel Intelligent Fan Clutch for Large Hybrid Vehicles. Energies, 15(12): 4308–4308.</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>Cui XR, Zhao LH, Chen G, et al., 2013, Smart Fan Design Based on PSoC. Applied Mechanics and Materials, 2560(347–350): 252–256.</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>Hong L, Sun Y, Cao C, 2020, Motor Synchronisation Control for Multistage Hot Die Forging Press Feed Manipulator Based on BP-PID Controller. International Journal of Computing Science and Mathematics, 11(4): 347–356.</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>Chai Z, Zhou C, Guo R, et al., 2024, Research on the Model of Scale Removal under Slurry Impact Based on BP Neural Network. JOM, 76(1): 445–451.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
