Article(id=1294746803329593877, tenantId=1146029695717560320, journalId=1293586367437176863, issueId=1294746761155858593, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1673-887X.2026.06.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760025600000, receivedDateStr=2025-10-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1786621293146, onlineDateStr=2026-08-13, pubDate=1782316800000, pubDateStr=2026-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1786621293146, onlineIssueDateStr=2026-08-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1786621293146, creator=13701087609, updateTime=1786621293146, updator=13701087609, issue=Issue{id=1294746761155858593, tenantId=1146029695717560320, journalId=1293586367437176863, year='2026', volume='', issue='6', pageStart='1', pageEnd='224', issueExtLink='null', onlineDate='null', pubDate='1782316800000', pubDateStr='2026-06-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1786621283091, creator='13701087609', updateTime=1786688856175, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1295030183292064073, tenantId=1146029695717560320, journalId=1293586367437176863, issueId=1294746761155858593, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1295030183292064074, tenantId=1146029695717560320, journalId=1293586367437176863, issueId=1294746761155858593, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6, endPage=8, ext={EN=ArticleExt(id=1294746803497366038, articleId=1294746803329593877, tenantId=1146029695717560320, journalId=1293586367437176863, language=EN, title=Design and Simulation of an Intelligent Temperature and Humidity Control System for a Solar Greenhouse Based on Fresnel Lens High-concentration Photovoltaic, columnId=null, journalTitle=Agricultural Technology & Equipment, columnName=null, runingTitle=null, highlight=null, articleAbstract=
To address large seasonal temperature differences, heavy grid dependence, and manual decision-making in solar greenhouses in Shanxi Province, this study designed an intelligent temperature and humidity control system based on the NY/T 3744-2020 standard and fruit vegetable growth requirements. The system integrated Fresnel lens high-concentration photovoltaic (CPV) technology, using PV power, a charge/discharge controller, and a battery to drive fans, film rollers, and supplemental lights. The control strategy combines PID control, threshold decision-making, and battery protection rules. MATLAB dynamic simulations under typical spring and summer weather conditions (using tomatoes as an example) showed that the system achieved the required temperature and humidity control accuracy, daily power generation meets the full-day load demand, and the battery remains in a safe operating state.
, authors=Weiqi Gao, Zhuoya Chang, Jinwu Gao, authorsList=Weiqi Gao, Zhuoya Chang, Jinwu Gao, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1294746803728052759, articleId=1294746803329593877, tenantId=1146029695717560320, journalId=1293586367437176863, language=CN, title=基于菲涅尔聚光光伏的日光温室温湿度智能控制系统设计与仿真, columnId=1294746766553932331, journalTitle=农业技术与装备, columnName=智慧农业与机械装备, runingTitle=null, highlight=null, articleAbstract=
针对山西省日光温室生产中存在的季节温差大、市电依赖强及人工决策等问题,依据《日光温室全产业链管理技术规范 番茄(NY/T 3744—2020)》及果菜类生长需求,集成菲涅尔透镜高倍聚光技术,设计以光伏供电、单片机为核心的温湿度智能控制系统。该系统采用聚光光伏、充放电控制器及蓄电池供电,驱动风机、卷膜器和补光灯;控制方案融合PID控制、阈值决策与蓄电池保护规则。MATLAB动态仿真表明:春夏季典型气象条件下,以番茄为例,系统温湿度控制精度满足要求,日发电量可满足全天负载,且蓄电池始终处于安全工作状态。
, authors=高炜琦, 常卓雅, 高晋武, authorsList=高炜琦, 常卓雅, 高晋武, authorCompany=null, correspAuthors=null, authorNote=
高炜琦(1998-),男,山西长治人,硕士研究生在读,研究方向为聚光太阳能发电技术。
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高炜琦(1998-),男,山西长治人,硕士研究生在读,研究方向为聚光太阳能发电技术。
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高炜琦(1998-),男,山西长治人,硕士研究生在读,研究方向为聚光太阳能发电技术。
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