EMACS: Design and implementation of indoor environment monitoring and control system

Tu, Zhi-xiao; Hong, Cheng-chen; Feng, Hao

doi:10.1109/icis.2017.7960010

Cited by 21 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After several decades of development, Internet of things (IoT) became one of an important part in information technology. Instead of analyzing IoT's core technologies, a collection of lightweight smart buildings for organization computer rooms [7]. The system uses sensors to collect environmental data, and through the Raspberry Pi process, controllers will make adaptive responses, such as turning on the air conditioner and alerting users.…”

Section: Related Workmentioning

confidence: 99%

Internet of Things (IoT) Based Multi-server Room Temperature and Humidity Monitoring and Automatic Controlling by Using Fuzzy Logic Controller

Widodo¹,

Wisnujati²,

Rahaman³

et al. 2022

Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and

View full text Add to dashboard Cite

The data center is a significant space that serves as a place to store equipment related to the server. Important data must also be safeguarded inside the server room itself, thus security standards are required to safeguard the space, starting with air temperature, humidity, fire disaster prevention, etc. In this paper, the authors propose an Internet of Things (IoT)-based system that uses MPX5100dp sensor for measuring room pressure, the DHT11 sensor, to detect humidity and temperature, with Node-MCU ESP8266 as the transmitter and microcontroller, and the Blynk application as the MQTT bridge to display the measurements and actuator reactions on mobile phones with Android as the platform. The mechanism on this device can track the temperature of the data center's room in real time and could run as expected. This has been proven by testing.

show abstract

Section: Related Workmentioning

confidence: 99%

Internet of Things (IoT) Based Multi-server Room Temperature and Humidity Monitoring and Automatic Controlling by Using Fuzzy Logic Controller

Widodo¹,

Wisnujati²,

Rahaman³

et al. 2022

Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and

View full text Add to dashboard Cite

show abstract

“…The main drawback of this approach was the fact that these units were not integrated as a part of a bigger interconnected system. Interconnected intelligent systems of sensors and actuators, which can be applied for monitoring environmental factors, are becoming more and more common with the rise of Internet of Things (IoT) [7][8][9]. These intelligent approaches give an opportunity to avoid employing special staff to monitor environmental factors and react when the conditions are not satisfying.…”

Section: Introductionmentioning

confidence: 99%

“…These intelligent approaches give an opportunity to avoid employing special staff to monitor environmental factors and react when the conditions are not satisfying. For example, Usamentiaga et al proposed a special Industrial Internet of Things architecture for temperature monitoring and fault detection using infrared thermography [7], while Tu et al proposed using Raspberry Pi to collect data on environmental conditions in a laboratory through various types of sensors and give an adequate response if the conditions are poor [8]. Another interesting research on IoT system applied for environment monitoring and control, can be found in [9].…”

Section: Introductionmentioning

confidence: 99%

Data Analysis of Environmental Conditions Influencing the Work of Laboratory Equipment and Application of Machine Learning Models for Classification of Poor Conditions

Đorđević,

Milovanović,

Milojković

et al. 2022

FU Aut Cont Rob

View full text Add to dashboard Cite

Environmental conditions can have a crucial impact on the functioning of laboratory equipment. Electric components are sensitive to the influence of certain environmental factors such as temperature, humidity, vibrations, etc. Environmental factors should, therefore, be monitored to avoid their negative influence on the system and potential faults and failures they could cause. Unlike the traditional approaches which required the presence of special staff to monitor environmental factors and react if they are poor, the rise of the Internet of Things enhanced the application of intelligent solutions where human factor is not necessary. In this paper, research on data analysis, preprocessing and intelligent classification of environmental conditions has been conducted. The data was collected by sensors connected to Raspberry Pi. The applied monitoring system setup enabled long-distance monitoring of laboratory conditions through the internet and full applicability of fundamental IoT concepts. Since data preparation is an important step in the process of designing machine learning models, the collected data was analyzed and preprocessed in Python. Intelligent classification of environmental conditions was performed using machine learning models k-Nearest Neighbors and Random Forest. Grid search was used for model selection, and the performances of k-Nearest Neighbors and Random Forest machine learning models were compared. Experimental results show that these machine learning models can be successfully used for intelligent classification of environmental conditions.

show abstract

“…Inorder to meet the real time requirements hardware is connected to server using a socket connection and software maintains an http connection. The users register the WeChat and they fill the WiFi account and password thus keeping a socket connection between the Raspberry Pi and server after that they get all services provided by the intelligent indoor environment monitoring and control system [7].…”

Section: Design and Implementation Of Smart Home Using Raspberry Pimentioning

confidence: 99%

Survey on Design and Implementation of Indoor Environment Monitoring and control system

Haris¹

2018

int. jour. eng. com. sci

View full text Add to dashboard Cite

Abstract:The ideology of the Internet of things has emerged due to the consolidation of multiple technologies. IoT devices are a part of the larger concept of home automation, also known as domotics. The application of Internet of Things in indoor environment monitoring and control has become a major area as people paying more attention to quality of environment. Intelligent solutions are proposed by studying key technologies of IoT. The system provides a new application for IoT.

show abstract

EMACS: Design and implementation of indoor environment monitoring and control system

Cited by 21 publications

References 5 publications

Internet of Things (IoT) Based Multi-server Room Temperature and Humidity Monitoring and Automatic Controlling by Using Fuzzy Logic Controller

Internet of Things (IoT) Based Multi-server Room Temperature and Humidity Monitoring and Automatic Controlling by Using Fuzzy Logic Controller

Data Analysis of Environmental Conditions Influencing the Work of Laboratory Equipment and Application of Machine Learning Models for Classification of Poor Conditions

Survey on Design and Implementation of Indoor Environment Monitoring and control system

Contact Info

Product

Resources

About