Developing a wireless real-time automated home approach utilizing NI MyRIO microcontroller board and LabVIEW platform

Alahmadi, Ahmad Aziz

doi:10.11591/ijeecs.v16.i3.pp1273-1278

Cited by 3 publications

(2 citation statements)

References 16 publications

(15 reference statements)

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“…The association between the PMV-index and the predicted percentage of dissatisfaction (PPD) was determined through steady state experiments as shown in Figure 2. This figure shows an equivalent quantity of complaints on the 'warm' side as on the 'cold' side, the curve is identical about the PMV of (0) [16][17][18][19][20][21][22][23][24][25].…”

Section: Fanger's Thermal Comfort Approachmentioning

confidence: 99%

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Mohammed¹,

Awad²,

Radhi³

2020

IJEECS

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This paper presents a design, simulation and performance evaluation of an optimized model for the Heating, Ventilation and Air-Conditioning (HVAC) systems using intelligent control algorithm. Fanger’s comfort method and genetic algorithms were used to obtain the optimal and initial values. The heat transmission coefficient between internal and external environments were determined depending on several inputs and factors acquired via supervisory control and data acquisition (SCADA) system sensors. The main feature of the real-time model is the prediction of the internal buildings environment, in order to control HVAC system for indoor environment and to utilize the optimum power consumed depending on optimized air temperature value. The predicted air temperature value and Predictive Mean Vote (PMV) value was applied using intelligent algorithm to obtain an optimal comfort level of the air temperature. The optimized air temperature value can be used in HVAC system controller to ensure that the temperature of indoor can reach a specific value after a known period of time. The use of genetic algorithm (GE) ensures that the used power is well below its peak value and maintains the comfort of the user’s environment.

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Section: Fanger's Thermal Comfort Approachmentioning

confidence: 99%

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Mohammed¹,

Awad²,

Radhi³

2020

IJEECS

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“…Building automation also called smart building is employed in smart university design to control cost, achieve comfort, security and safety [1][2][3] . In the modern world, the prime human being occupation is in the agriculture field.…”

Section: Introductionmentioning

confidence: 99%

Design a Wireless Automated Solar Powered Irrigation Control System for Smart Universities Green Areas Water Management

Alharbi¹,

Soliman²,

Salem³

et al. 2020

International Journal of Engineering Research and Technology

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As a contribution in developing smart universities and achieving economy and comfort in terms of water-labor-saving as well as, improved water-energy efficiency, the present work provides both a conceptual design and a blueprint for practical implementation of wireless standalone solar powered smart irrigation control systems for managing water using in green areas of smart universities. The proposed system design consists of five sub-modules, each of which is planned to be standalone solar powered and wireless controlled. The module consists of sensor, main control unit, actuator, local water well monitoring and managing, as well as, to supervisor's wireless module for data recording and remotely monitor the green area state, in addition, monitor the irrigation activity. Wireless communication technology is applied to transmit data between these five sub-modules. The microcontroller based main control unit module is designed and programmed with control algorithm developed to process and analyze acquired data, predict the atmosphere state and take decisions based on the day time (morning/evening) condition, available volume of water in the well and soil state (temperature and moisture). If a specific treatment is required, decision is taken by the microcontroller and proper treatment is sent wirelessly to actuator modules to implement the decision process.

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Temperature monitoring system in an industrial facility using NI myRIO equipment and I²C sensors

Patrascoiu

Rus

Negru

2022

2022 23rd International Carpathian Control Conference (ICCC)

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Developing a wireless real-time automated home approach utilizing NI MyRIO microcontroller board and LabVIEW platform

Cited by 3 publications

References 16 publications

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Design a Wireless Automated Solar Powered Irrigation Control System for Smart Universities Green Areas Water Management

Temperature monitoring system in an industrial facility using NI myRIO equipment and I²C sensors

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Developing a wireless real-time automated home approach utilizing NI MyRIO microcontroller board and LabVIEW platform

Cited by 3 publications

References 16 publications

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

Design a Wireless Automated Solar Powered Irrigation Control System for Smart Universities Green Areas Water Management

Temperature monitoring system in an industrial facility using NI myRIO equipment and I2C sensors

Contact Info

Product

Resources

About

Temperature monitoring system in an industrial facility using NI myRIO equipment and I²C sensors