MOSyG: Monitoring System for Germination Chamber using Fuzzy Control based on Cloudino-IoT and FIWARE

被引：0

作者：

Franco-Ramirez, Juan D. ^{[1
]}

Ramirez-delReal, Tania A. ^{[2
]}

Garate-Garcia, Araceli ^{[3
]}

Alberto Ruiz, M. ^{[4
]}

Villanueva-Vasquez, Daniel ^{[5
]}

机构：

[1] Univ Politecn Aguascalientes, Aguascalientes, Aguascalientes, Mexico

[2] CONACyT, Ctr Geo, Aguascalientes, Aguascalientes, Mexico

[3] Univ Politecn Baja California, Mexicali, Baja California, Mexico

[4] INFOTEC, Aguascalientes, Aguascalientes, Mexico

[5] CONACyT, INFOTEC, Aguascalientes, Aguascalientes, Mexico

来源：

2019 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2019) | 2019年

关键词：

Germination chamber; Fuzzy Control; Cloudino-IoT; FIWARE;

D O I：

10.1109/ropec48299.2019.9057127

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

MOSyG: a monitoring system for a germination chamber is developed in this paper. The temperature and humidity parameters can be observed in real-time and controlled using fuzzy control techniques through the integration of the platforms Cloudino-IoT, FIWARE and Grafana. The use of these open-source platforms combined allows to take advantage of cloud computing to sustain, store and analyze the data and to automate the environmental parameters to maintain temperature and humidity levels to create a favorable growth environment. The set-point control performance is illustrated with some experimental results as well as the interconnection of the IoT devices.

引用

页数：6

共 50 条

[31] IoT based Smart Water Quality Monitoring and Flow Control System
Prasad, Rajendra P.
Avinash, J. L.
Kumar, Arjun G. B.
Poornima, G. R.
Kumar, Santosh S.
Kumar, Sunil
2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS ON ELECTRONICS, INFORMATION, COMMUNICATION & TECHNOLOGY (RTEICT-2020), 2020, : 358 - 362
[32] Design and Implementation of an IoT based Automated Agricultural Monitoring and Control System
Haque, Md Shadman Tajwar
Rouf, Khaza Abdur
Khan, Zobair Ahmed
Emran, Al
Zishan, Md. Saniat Rahman
2019 1ST INTERNATIONAL CONFERENCE ON ROBOTICS, ELECTRICAL AND SIGNAL PROCESSING TECHNIQUES (ICREST), 2019, : 13 - 16
[33] IoT Enabled Condition Monitoring of Low Voltage Motors using Fuzzy Inference System
Prakash, Choudhary Om
Jaiswal, Supriya
Das, Suchandan
PROCEEDINGS OF 2021 5TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (IEEE CATCON 2021), 2021, : 132 - 137
[34] An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks
Hameed, Kashif
Bajwa, Imran Sarwar
Ramzan, Shabana
Anwar, Waheed
Khan, Akmal
SCIENTIFIC PROGRAMMING, 2020, 2020
[35] Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT
Maniam, Govind
Sampe, Jahariah
Jaafar, Rosmina
Ibrahim, Mohd Faisal
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (02) : 324 - 333
[36] Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT
Maniam, Govind
Sampe, Jahariah
Jaafar, Rosmina
Ibrahim, Faisal
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (01) : 324 - 333
[37] Neuro-Fuzzy-Based IoT Assisted Power Monitoring System for Smart Grid
Ghosh, Smarajit
IEEE ACCESS, 2021, 9 : 168587 - 168599
[38] IoT Based monitoring and control of fluid transportation using machine learning
Bhaskaran, Priyanka E.
Maheswari, C.
Thangavel, S.
Ponnibala, M.
Kalavathidevi, T.
Sivakumar, N.S.
Computers and Electrical Engineering, 2021, 89
[39] IoT Based monitoring and control of fluid transportation using machine learning
Bhaskaran, Priyanka E.
Maheswari, C.
Thangavel, S.
Ponnibala, M.
Kalavathidevi, T.
Sivakumar, N. S.
COMPUTERS & ELECTRICAL ENGINEERING, 2021, 89
[40] Attention Control Using Fuzzy Inference System in Monitoring CCTV Based on Crowd Density Estimation
Tehranipour, Farhad
Shishegar, Rosita
Tehranipour, Soheil
Setarehdan, Seyed-Kamaledin
2013 8TH IRANIAN CONFERENCE ON MACHINE VISION & IMAGE PROCESSING (MVIP 2013), 2013, : 204 - 209

← 1 2 3 4 5 →