Development of remote monitoring system for aquaculture water quality based on Internet of Things
In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality moni...
Gespeichert in:
Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2020-03, Vol.768 (5), p.52033 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 5 |
container_start_page | 52033 |
container_title | IOP conference series. Materials Science and Engineering |
container_volume | 768 |
creator | Zhang, Zewen Mao, Wenwu Wang, Zijie Tan, Xiaolin Wu, Fan Wang, Dengkui Fang, Xiong |
description | In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose. |
doi_str_mv | 10.1088/1757-899X/768/5/052033 |
format | Article |
fullrecord | <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2562153926</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2562153926</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3703-ddd504777da527db437726dc056ff60cd13cf6382b32f5844c23c6e66849ff963</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObJk3SXsqcOph44QTvQpYP7WibLmmV_XtbKxNB8OocTt7nDTwAnCfoKkFZFiec8ijL85eYsyymMaIYEXIAJvuHw_2eJcfgJIQNQoynKZoAeWPeTemaytQtdBZ6U7nWwMrVRet8Ub_CsAutqaB1HsptJ1VXtp038EO2xsP-UBbtDq5lMBq6Gi7q_lybr67VW8-HU3BkZRnM2fecgufb-Wp2Hy0f7xaz62WkCEck0lpTlHLOtaSY63VKOMdMK0SZtQwpnRBlGcnwmmBLszRVmChmGMvS3NqckSm4GHsb77adCa3YuM7X_ZcCU4YTSnI8pNiYUt6F4I0VjS8q6XciQWLQKQZTYrAmep2CilFnD-IRLFzz0_wvdPkH9PA0_xUTjbbkEzbHhYw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2562153926</pqid></control><display><type>article</type><title>Development of remote monitoring system for aquaculture water quality based on Internet of Things</title><source>IOP Publishing Free Content</source><source>Institute of Physics IOPscience extra</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Zhang, Zewen ; Mao, Wenwu ; Wang, Zijie ; Tan, Xiaolin ; Wu, Fan ; Wang, Dengkui ; Fang, Xiong</creator><creatorcontrib>Zhang, Zewen ; Mao, Wenwu ; Wang, Zijie ; Tan, Xiaolin ; Wu, Fan ; Wang, Dengkui ; Fang, Xiong</creatorcontrib><description>In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/768/5/052033</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Ammonia ; Aquaculture ; Design parameters ; Dissolved oxygen ; Internet of Things ; Microcontrollers ; Monitoring systems ; Remote control ; Remote monitoring ; Sampling designs ; Water quality</subject><ispartof>IOP conference series. Materials Science and Engineering, 2020-03, Vol.768 (5), p.52033</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3703-ddd504777da527db437726dc056ff60cd13cf6382b32f5844c23c6e66849ff963</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1757-899X/768/5/052033/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>Zhang, Zewen</creatorcontrib><creatorcontrib>Mao, Wenwu</creatorcontrib><creatorcontrib>Wang, Zijie</creatorcontrib><creatorcontrib>Tan, Xiaolin</creatorcontrib><creatorcontrib>Wu, Fan</creatorcontrib><creatorcontrib>Wang, Dengkui</creatorcontrib><creatorcontrib>Fang, Xiong</creatorcontrib><title>Development of remote monitoring system for aquaculture water quality based on Internet of Things</title><title>IOP conference series. Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose.</description><subject>Ammonia</subject><subject>Aquaculture</subject><subject>Design parameters</subject><subject>Dissolved oxygen</subject><subject>Internet of Things</subject><subject>Microcontrollers</subject><subject>Monitoring systems</subject><subject>Remote control</subject><subject>Remote monitoring</subject><subject>Sampling designs</subject><subject>Water quality</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObJk3SXsqcOph44QTvQpYP7WibLmmV_XtbKxNB8OocTt7nDTwAnCfoKkFZFiec8ijL85eYsyymMaIYEXIAJvuHw_2eJcfgJIQNQoynKZoAeWPeTemaytQtdBZ6U7nWwMrVRet8Ub_CsAutqaB1HsptJ1VXtp038EO2xsP-UBbtDq5lMBq6Gi7q_lybr67VW8-HU3BkZRnM2fecgufb-Wp2Hy0f7xaz62WkCEck0lpTlHLOtaSY63VKOMdMK0SZtQwpnRBlGcnwmmBLszRVmChmGMvS3NqckSm4GHsb77adCa3YuM7X_ZcCU4YTSnI8pNiYUt6F4I0VjS8q6XciQWLQKQZTYrAmep2CilFnD-IRLFzz0_wvdPkH9PA0_xUTjbbkEzbHhYw</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Zhang, Zewen</creator><creator>Mao, Wenwu</creator><creator>Wang, Zijie</creator><creator>Tan, Xiaolin</creator><creator>Wu, Fan</creator><creator>Wang, Dengkui</creator><creator>Fang, Xiong</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200301</creationdate><title>Development of remote monitoring system for aquaculture water quality based on Internet of Things</title><author>Zhang, Zewen ; Mao, Wenwu ; Wang, Zijie ; Tan, Xiaolin ; Wu, Fan ; Wang, Dengkui ; Fang, Xiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3703-ddd504777da527db437726dc056ff60cd13cf6382b32f5844c23c6e66849ff963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Ammonia</topic><topic>Aquaculture</topic><topic>Design parameters</topic><topic>Dissolved oxygen</topic><topic>Internet of Things</topic><topic>Microcontrollers</topic><topic>Monitoring systems</topic><topic>Remote control</topic><topic>Remote monitoring</topic><topic>Sampling designs</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Zewen</creatorcontrib><creatorcontrib>Mao, Wenwu</creatorcontrib><creatorcontrib>Wang, Zijie</creatorcontrib><creatorcontrib>Tan, Xiaolin</creatorcontrib><creatorcontrib>Wu, Fan</creatorcontrib><creatorcontrib>Wang, Dengkui</creatorcontrib><creatorcontrib>Fang, Xiong</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zewen</au><au>Mao, Wenwu</au><au>Wang, Zijie</au><au>Tan, Xiaolin</au><au>Wu, Fan</au><au>Wang, Dengkui</au><au>Fang, Xiong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of remote monitoring system for aquaculture water quality based on Internet of Things</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>768</volume><issue>5</issue><spage>52033</spage><pages>52033-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1757-899X/768/5/052033</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1757-8981 |
ispartof | IOP conference series. Materials Science and Engineering, 2020-03, Vol.768 (5), p.52033 |
issn | 1757-8981 1757-899X |
language | eng |
recordid | cdi_proquest_journals_2562153926 |
source | IOP Publishing Free Content; Institute of Physics IOPscience extra; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry |
subjects | Ammonia Aquaculture Design parameters Dissolved oxygen Internet of Things Microcontrollers Monitoring systems Remote control Remote monitoring Sampling designs Water quality |
title | Development of remote monitoring system for aquaculture water quality based on Internet of Things |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T10%3A02%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20remote%20monitoring%20system%20for%20aquaculture%20water%20quality%20based%20on%20Internet%20of%20Things&rft.jtitle=IOP%20conference%20series.%20Materials%20Science%20and%20Engineering&rft.au=Zhang,%20Zewen&rft.date=2020-03-01&rft.volume=768&rft.issue=5&rft.spage=52033&rft.pages=52033-&rft.issn=1757-8981&rft.eissn=1757-899X&rft_id=info:doi/10.1088/1757-899X/768/5/052033&rft_dat=%3Cproquest_iop_j%3E2562153926%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2562153926&rft_id=info:pmid/&rfr_iscdi=true |