Design and Realization of Low Cost Control for Greenhouse Environment with Remote Control

Abstract This project describes the design and implementation of control unit coordinating sensors of various physical quantities and actuators. Beside the data collection from sensor units, the problem consists of their local and remote visualization. The selected concept is created by the Arduino platform, which uses expansion modules for data acquisition and visualization to control the solution. The chosen solution is sufficient for home automation and is useful for a wide range of potential customers. The concept is concretized into an intelligent greenhouse environment, where complete control is designed over the environment. Such solution optimizes the quality of treatment of crops or flowers while it can also bring financial savings on subsequent operation of the system, as expected. Results of the control concept were tested with the good results during a trial run of a real greenhouse, in which the quality of the designed solution was verified. Specific procedures and design solutions are also listed within this paper to highlight the solution.

[1]  R. Hajovsky,et al.  Measuring System for Longtime Monitoring and Visualization of Temperature and Toxic Gases Concentration , 2012 .

[2]  Y. Iwasaki,et al.  Developing a new energy-saving, photosynthesis-promoting environmental control system for greenhouse production based on a heat pump with a heat storage system (Special Issue : Horticultural engineering) , 2013 .

[3]  Zdenek Machacek,et al.  Simulation of MIT Rule-Based Adaptive Controller of a Power Plant Superheater , 2011, ICFCE.

[4]  Penhaker Marek,et al.  Design and Application of Mobile Embedded Systems for Home Care Applications , 2010, 2010 Second International Conference on Computer Engineering and Applications.

[5]  Ondrej Krejcar,et al.  Smart intelligent control of current source for high power LED diodes , 2013, Microelectron. J..

[6]  Stepan Ozana,et al.  Radio Telemetry Unit for Online Monitoring System at Mining Dumps , 2014 .

[7]  Michal Tutsch,et al.  Development Methods for Low Cost Industrial Control by WinPAC Controller and Measurement Cards in Matlab Simulink , 2010, 2010 Second International Conference on Computer Engineering and Applications.

[8]  Ondrej Krejcar,et al.  Batteryless Powering of Remote Sensors with Reversed Peltier Power Source for Ubiquitous Environments , 2013, Int. J. Distributed Sens. Networks.

[9]  O. Krejcar Benefits of Building Information System with Wireless Connected Mobile Device - PDPT Framework , 2007, 2007 IEEE International Conference on Portable Information Devices.

[10]  Ondrej Krejcar,et al.  Mobile Monitoring Stations and Web Visualization of Biotelemetric System - Guardian II , 2009, EuropeComm.

[11]  Penhaker Marek,et al.  Web System for Electrophysiological Data Management , 2010, 2010 Second International Conference on Computer Engineering and Applications.

[12]  E. Gonzalez-Ramirez,et al.  Development of a remote sensing and control system for greenhouse applications , 2011 .

[13]  Jiří David,et al.  Crystallizer’s Desks Surface Diagnostics with Usage of Robotic System , 2013 .

[14]  Zetian Fu,et al.  A Fuzzy Comprehensive Evaluation of the Applicability of Intelligent Greenhouse Control Systems , 2013 .

[15]  Stepan Ozana,et al.  Autonomous Monitoring System for Measurement of Parameters of Heat Collection Technology at Thermal Active Mining Dumps , 2013 .

[16]  M. Penhaker,et al.  Precise temperature stabilizing system of liquids for the purpose biomedical applications , 2012 .

[17]  Juan Enrique Agudo,et al.  A Low-Cost Real Color Picker Based on Arduino , 2014, Sensors.

[18]  Josef Horalek,et al.  Virtual laboratory , 2013, 2013 IEEE 11th International Conference on Emerging eLearning Technologies and Applications (ICETA).

[19]  Majdi Hazami,et al.  Experimental study of an air conditioning system to control a greenhouse microclimate , 2014 .

[20]  Ondrej Krejcar,et al.  Modern smart device-based concept of sensoric networks , 2013, EURASIP J. Wirel. Commun. Netw..

[21]  Peiling Yang,et al.  An Intelligent Controlling System for Greenhouse Environment Based on the Architecture of the Internet of Things , 2012 .

[22]  Yeonghwan Bae,et al.  Development of an Integrated Greenhouse Monitoring and Control System at Province Level , 2011 .

[23]  Jorge Aguilera,et al.  Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards , 2014 .

[24]  R. Frischer,et al.  Implementation of Full-Featured PID Regulator in Microcontrollers , 2011 .