Performance Analysis of Environmental Monitoring System (EMS) towards POLMEDs Green Campus

Afritha Amelia, Bakti Viyata Sundawa, Marina Yusoff, Jasni Bt Mohamad Zain, Abdul Azis, - Suprianto, Roslina Roslina, Banu Afwan Pribadi
{"title":"Performance Analysis of Environmental Monitoring System (EMS) towards POLMEDs Green Campus","authors":"Afritha Amelia, Bakti Viyata Sundawa, Marina Yusoff, Jasni Bt Mohamad Zain, Abdul Azis, - Suprianto, Roslina Roslina, Banu Afwan Pribadi","doi":"10.18517/ijaseit.13.5.19481","DOIUrl":null,"url":null,"abstract":"UI GreenMetric is a guide for higher education institutions to raise awareness of sustainable development, sustainable research, building a green campus, and social influence. There are six assessment categories in UI GreenMetric. One of them is energy and climate change. The assessment point in energy and climate change is the implementation of smart buildings within the campus area. There is often pollution on campus. The campus still uses groundwater for daily sanitation; workshops' waste is discharged directly into the ground without any sewage treatment process; many private vehicles are in the campus area; and 30% of campus land has been used as vehicle parking lots. It is necessary to carry out a monitoring process to determine the concentration of CO2 in the air. For this reason, further study is needed on smart features that will be built to support UI GreenMetric concepts. It is expected to help monitor water, soil, and air environmental parameters. This smart would later be monitored remotely using the Internet of Things (IoT) method. The maximum result of air temperature is 32,3°C, the maximum level of CO2 is 526,8 ppm, the minimum humidity level is 47,2%RH, and the maximum level of PAR is 589,3 µ*mol/m2*s. The noise maximum level is 84 dB, and pH water maximum is 7,01. The density of students also caused an increase in some parameters. POLMED must concentrate on environmental sustainability. Therefore, we should pay for internal recycling water treatment, reducing the use of private vehicles, and expanding green open space.","PeriodicalId":14471,"journal":{"name":"International Journal on Advanced Science, Engineering and Information Technology","volume":"60 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Advanced Science, Engineering and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18517/ijaseit.13.5.19481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

UI GreenMetric is a guide for higher education institutions to raise awareness of sustainable development, sustainable research, building a green campus, and social influence. There are six assessment categories in UI GreenMetric. One of them is energy and climate change. The assessment point in energy and climate change is the implementation of smart buildings within the campus area. There is often pollution on campus. The campus still uses groundwater for daily sanitation; workshops' waste is discharged directly into the ground without any sewage treatment process; many private vehicles are in the campus area; and 30% of campus land has been used as vehicle parking lots. It is necessary to carry out a monitoring process to determine the concentration of CO2 in the air. For this reason, further study is needed on smart features that will be built to support UI GreenMetric concepts. It is expected to help monitor water, soil, and air environmental parameters. This smart would later be monitored remotely using the Internet of Things (IoT) method. The maximum result of air temperature is 32,3°C, the maximum level of CO2 is 526,8 ppm, the minimum humidity level is 47,2%RH, and the maximum level of PAR is 589,3 µ*mol/m2*s. The noise maximum level is 84 dB, and pH water maximum is 7,01. The density of students also caused an increase in some parameters. POLMED must concentrate on environmental sustainability. Therefore, we should pay for internal recycling water treatment, reducing the use of private vehicles, and expanding green open space.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
环境监测系统(EMS)对polmed绿色校园的性能分析
UI GreenMetric是高等教育机构提高可持续发展意识、可持续研究、建设绿色校园和社会影响力的指南。在UI GreenMetric中有六个评估类别。其中之一是能源和气候变化。能源和气候变化的评估点是校园内智能建筑的实施。校园里经常有污染。校园仍然使用地下水进行日常卫生;车间废弃物不经污水处理直接排入地下;校园内有很多私家车;30%的校园用地被用作车辆停车场。有必要进行监测过程以确定空气中二氧化碳的浓度。出于这个原因,需要对智能功能进行进一步研究,以支持UI GreenMetric概念。它有望帮助监测水、土壤和空气环境参数。这种智能设备随后将使用物联网(IoT)方法进行远程监控。空气温度最大值为33.2℃,CO2最大值为526,8 ppm,湿度最小值为47.2% rh, PAR最大值为589,3µ*mol/m2*s。噪声最大值为84 dB, pH最大值为7.01。学生的密度也导致了一些参数的增加。POLMED必须注重环境的可持续性。因此,我们应该支付内部循环水处理,减少私家车的使用,扩大绿色开放空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal on Advanced Science, Engineering and Information Technology
International Journal on Advanced Science, Engineering and Information Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.40
自引率
0.00%
发文量
272
期刊介绍: International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the IJASEIT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: -Science: Bioscience & Biotechnology. Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics -Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials -Information Science & Technology: Artificial Intelligence, Computer Science, E-Learning & Multimedia, Information System, Internet & Mobile Computing
期刊最新文献
Medical Record Document Search with TF-IDF and Vector Space Model (VSM) Aesthetic Plastic Surgery Issues During the COVID-19 Period Using Topic Modeling Revolutionizing Echocardiography: A Comparative Study of Advanced AI Models for Precise Left Ventricular Segmentation The Mixed MEWMA and MCUSUM Control Chart Design of Efficiency Series Data of Production Quality Process Monitoring A Comprehensive Review of Machine Learning Approaches for Detecting Malicious Software
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1