Humidity Monitoring Research Articles

Analisis Perbandingan Metode K-Nn Dan Decision Tree Dalam Klasifikasi Kenyamanan Thermal Bangunan

Thermal comfort and good air quality can have a positive influence on a person's health and activities. Human knowledge will determine the right quality for a building or room that can only be used at a minimum first if it is based on the value of temperature and humidity standard measuring instruments that display raw data so that a system is needed that makes it easy for humans to determine thermal building comfort. Most systems that discuss thermal comfort revolve around temperature and humidity monitoring still do not use a machine learning model to maximize data analysis. In this study, a comparison of machine learning models is designed that is able to provide a classification to predict the category or label given to a data set consisting of the thermal comfort variable. The output produced in this comparison is the result of labeling predictions from 3 temperature comfort levels by testing 30% praise data and 70% training data. From the results of the segmentation accuracy level using K-Nearest Neighbor, the accuracy reaches 100% with the highest accuracy at a value of K = 1, while the Decision tree comparison method also gets an accuracy value that reaches 100%, this shows that thermal comfort can be applied in the classification machine learning method

Rancang Bangun Modul IoT untuk Pembelajaran Dasar di Laboratorium di Jurusan Teknik Elektro Universitas Lampung

The employment sector is the one that has been hit the worst by the consequences of Revolution 4.0 in Indonesia. The Internet of Things is one area that human resources, particularly students in the Electrical Engineering Department, must improve (IoT). As a result, IoT learning media was developed in the laboratory, where the current IoT modules are insufficient. The goal of this research is to provide students a fundamental understanding of the Internet of Things. Arduino and ESP8266 are used in this IoT module. The Blynk and ThinkSpeak platforms are used to connect to an internet network based on web services. In this module, you can perform three different types of experiments. The first is the ThingSpeak Application for Temperature and Humidity Monitoring. The temperature in the room was 23°C, with a humidity level of 56%. The second method is to use the Blynk application to measure distance using an ultrasonic sensor. The comparison of measurements on the LCD and the Blynk application yielded results that were consistent with measurements taken using a ruler. The third option is to use the Blynk App to control water volume. As an automatic switch on the tank, a relay module is used in this experiment. The pump will turn on when the water volume is less than 100 liters and turn off when the water volume reaches 265 liters. Finally, this module can be used as a basic learning materials in the Laboratory of the Department of Electrical Engineering, Faculty of Engineering, University of Lampung.

Humidity and Temperature Monitoring and Controling using Matlab with Arduino

Humidity and Temperature Monitoring and Controling using Matlab with Arduino

IOT BASED SMART SOIL HEALTH MANAGEMENT SYSTEM WITH REMOTE MONITORING AND CONTROL SYSTEM

Soil situation monitoring sensors enable farmers to accumulate statistics about rainfall, temperature, and other metrics over time to tune tendencies and predict irrigation needs. Farmers will keep time that’s normally spend manually checking crop water ranges due to the fact sensors can supply them real-time facts right away on nearly any on-line device. Sensors enable for higher water conservation whilst making sure there isn’t over or under watering of vegetation. Smart soil moisture, humidity, temperature and PH monitoring and analysis. Auto-pump on-off device in fields, with excessive fast SDST Relay with low water stage cut-off machine for long-life of the water pumps. This whole project is done in very low cost keeping in mind the current financial condition of farmers of INDIA.

Porous and conductive cellulose nanofiber/carbon nanotube foam as a humidity sensor with high sensitivity

In this study, we developed a humidity sensor with high sensitivity based on cellulose nanofiber/carbon nanotube (CNF/CNT) hybrid foam. The porous structure of the foam not only provides more contact interface for water molecules adsorption, but also tunes the conductivity of the CCF closed to the point where the sensor is most sensitive to the change in humidity. With this porous structural design, the obtained foam sensor shows a high humidity sensitivity of 87.3% (ΔI/I0, and the response limit is 100%), excellent linearity (R2 = 0.996) within the humidity range from 29 to 95% relative humidity (RH), and good long-time stability (more than two months). Furthermore, the water vapor adsorption behavior of the CNF/CNT foam sensor can be well described by the pseudo-first-order kinetic model. Finally, a simple humidity measuring device based on the CNF/CNT foam is presented, which can find good applications for human breath and fingertip humidity monitoring.

Internet of Things enabled real time cold chain monitoring in a container port

Abstract Purpose Seaports are regarded as significant actors in global logistics and supply chains since a large part of the cargoes carried over the globe are being processed there. When the cold chain broken down during transport and storage in the ports, the humidity, nutrition, temperature and time conditions to be required for the growth of the bacteria occur, and rapid reproduction occurs and the properties of the products are rapidly deteriorating. It is imperative that especially medicines, some chemical substances and foodstuffs need to be transported without breaking the cold chain in the logistics. The monitoring and control of the temperature and humidity level is important in the time period between the loading of these containers in special areas in ports, the loading of freight in open areas, or the loading of freight on roads and railway carriages. For this reason, precise monitoring and control of the system is vital in the port logistics management. Method In this study, an IoT-enabled system is designed for Container Ports by developing software, interface and equipment that will enable remote monitoring of temperature, humidity and other necessary key status parameters. Findings The developed IoT-based system provides audible and visual warning, e-mail and SMS communication, similar to a monitoring screen such as a heart graph monitor, when the instant values of the refrigerated container are transmitted to the database, when the defined upper and lower values are approached. All these data and major change information are archived in the database and retrospective situation analysis and data analysis can be performed. Conclusion Using technologies such as Wireless Sensor Network (WSN) and RFID, an IoT-enabled Cold Chain Logistics system has been proposed that provides real-time monitoring of products in containers at ports, providing DS services to logistics providers and customers. In this context, it was explained how the ambient parameter values were collected in real time using WSN and IEEE 802.15.4, how the collected data was sent to the server via the GSM gateway. In the port scenario, activation devices such as IEEE 802.15.4 and RFID were modeled using the OPNET simulator. The developed model was carried out in accordance with the principles of EPCglobal Gen 2. With the proposed approach, smart solutions provide a smarter flow of information. The results show that IoT- enabled cold chain systems have a great potential for managing, monitoring, receiving and determining abnormal events related to temperature-sensitive products in real time.

Assessment of indoor and outdoor air quality in primary schools of Cyprus during the COVID–19 pandemic measures in May–July 2021

Combined pollutant effects from indoor and outdoor sources on children's health, while being at school have not been holistically tackled. The aim of the School Temperature and Environmental Pollutants Study (STEPS) was to perform a school population representative assessment of indoor air quality (IAQ) in primary schools of densely and intermediate populated areas of Cyprus (n = 42). The study took place during May–July 2021 when a school-specific COVID-19 protocol was in place. Questionnaire-based characteristics of schools/classrooms were collected along with 24/48-h long IAQ monitoring of air temperature, relative humidity (RH), particulate matter (PM), carbon dioxide (CO2) and volatile organic compounds (VOCs), using low-cost sensors. Mixed effect models assessed the IAQ determinants during school hours. Indoor PM, temperature, RH and VOCs increased with progressing school periods in the day, while indoor CO2 decreased. Indoor RH and CO2 were negatively associated with % open windows, while indoor PM2.5 was positively associated. Most of school time (85%), indoor air temperature exceeded the recommended upper limit (27 °C), while a third of indoor PM2.5 (24-h) measurements exceeded 15 μg/m3. The interplay of clean indoor air with adequate ventilation and adaptation to heat stress in schools is important and its comprehensive characterization requires holistic methodological approaches and tools.

Prototype Sistem Pendeteksi dan Penetralisir Asap Rokok pada Ruangan dengan Fitur Monitoring Suhu dan Kelembaban

This research was conducted with the aim of detecting and neutralizing cigarette smoke in a room using a messaging application—in this term is Telegram as notification to the user. The system is also equipped with room temperature and humidity monitoring features. In a room that is exposed to cigarette smoke does not have good air circulation, it will cause cigarette smoke not to come out quickly, this problem which will interfere with health, because of the smoke that is inhaled. In this case, we need a system that can detect and neutralize cigarette smoke. For cigarette smoke detection using the MQ-7 sensor, the DC fan and Ozone Generator will automatically turn on if the value on the MQ-7 sensor is greater than or equal to 74 Ppm and the system will also send a notification via Telegram that cigarette smoke is detected. This serves to neutralize air contaminated with cigarette smoke in the room. To monitor room temperature and humidity using the DHT11 sensor and the results of room temperature and humidity monitoring will be displayed on the mobile application.

Controlling and Monitoring of Temperature and Humidity of Oyster Mushrooms in Tropical Climates

Controlling the temperature and humidity of oyster mushroom cultivation is done manually by spraying air on the mushroom container so it takes a lot of time and effort. This is done to meet the requirements for growing oyster mushrooms which are strongly influenced by temperature and humidity conditions so that they can grow well. In this study, a device for controlling and monitoring the temperature and humidity of oyster mushroom cultivation was made automatically based on Arduino UNO. This tool can regulate and monitor the temperature and humidity in oyster mushroom cultivation automatically so that the temperature and humidity can be maintained without having to spend a lot of time and effort. The components used in building the automatic temperature and humidity controller for mushroom cultivation based on the Arduino UNO are the dht11 sensors, Arduino UNO, L298N driver, relay, and 16x2 I2C LCD. From the results of the tests that have been carried out, it can be concluded that the temperature and humidity control and monitoring device for automatic oyster mushroom cultivation based on Arduino UNO has been able to work well in regulating and monitoring temperature and humidity as expected.

Propuesta de diseño de una red inalámbrica de sensores y actuadores para riego, con tecnología de Internet de las Cosas

Objective: This paper presents a detailed selection of IoT technologies for the design of an ambient humidity monitoring infrastructure to control crop irrigation. Methodology: The prototype design was supported by previous studies carried out by the authors and tests in 2019 at Finca el Porvenir in Cundinamarca, Colombia, in order to determine the best option to implement in the field through the use of Python software, and elements such as Raspberry Pi and the TTGO development board. Results: To determine the functionality of the software and hardware of the system, different static tests of the prototype were carried out by monitoring humidity and ambient temperature by means of the DHT22 sensor, whose information is sent from a transmitter node to a receiver node in a concentrator to later save the information in a database and, finally, to obtain graphs of the behavior of the relative humidity, temperature, and the actuation of the control element (solenoid valve). Conclusions: With this information it is possible to demonstrate the effectiveness of the prototype, the possibility of remote connection with the LoRa protocol and the handling and management of information from different crop areas through the GUI on the Raspberry Pi, generating a low-cost solution for access by small and medium producers in rural areas in Colombia.

Pengembangan Sistem Monitoring Suhu dan Kelembaban di Ruang Fermentasi Tembakau Bawah Naungan (TBN) Berbasis Internet of Things (IoT)

Fermentation is one of the processes in tobacco processing which will be used as raw material for cigars. One of the main aspects that must be considered to achieve successful fermentation is the temperature and humidity of the fermentation room, namely 60-80% RH and 27-32 °C. KOPA Tarutama Nusantara (TTN) Jember is a Under Shade Tobacco processing unit with manual monitoring of temperature and humidity using a hygrometer which causes workers to experience fatigue and delays in taking action if the temperature and humidity are not up to standard. Based on these problems, an IoT (Internet of Things)-based temperature and humidity monitoring tool is needed. The research was carried out by assembling tools using Arduino Ide, DHT 11 Sensor, 2 Channel Relay, LM2596 and programmed with Arduino Ide software. Based on the functionality validation test, this tool can be said to function properly because the X value is 1. The efficiency value is declared very efficient with a value 6.9% and the effectiveness value is declared very effective because the effectiveness value increases from 17 to 22. The implementation of this tools in the fermentation room also increases the effectiveness of tobacco quality with a value of 112.9%.

IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO

Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential in our mundane life. By observing the important parameters, controlling of the system can be performed which produces important pieces of information by keeping in mind the functioning of these e-devices. The outcomes of the environmental observances are associated with this scrutiny. The collected information can be used to create actions such as heating of devices, dominant cooling, or long-term statistics. Through the help of network or any other android application, data can be uploaded on the cloud. In the present study, Arduino UNO and Wi-Fi modules are used to process and transfer the sensed data to the Thingspeak cloud. Thus, the cloud platform (Thingspeak) contains the parameters that are received. Any variation in the surroundings is reported in the form of a database through the cloud computing method.

Effective and Secure vWSN Applications in a Virtualized Cloud Computing Environment

Security is one of the key concerns in cloud computing. We are proposing Virtual Wireless Sensor Network (vWSN) which is one of the key features of cloud computing in the area of agriculture. Our main focuses are effective and secure vWSN in virtualized cloud computing environment with enhanced security to detect environmental monitoring, humidity monitoring, soil moisture, air quality (pollution) monitoring, insect monitoring, pest and disease control, which is based on virtualization and cloud computing technology, centrally managed device having flexible and configurable parameter with less maintenance and operational cost. To the best of our knowledge, vWSN is the first approach to agriculture based on extensional WSN information. WSN contains both control plane (signaling) and data plane (forwarding) coupled together.WSN is a specific purpose computer containing hardware whose main components are memory, CPU, IO, registers, Data and address bus, timer, sensor, computing logic and decision making logic. WSN is a physical device which needs to be placed in the field in certain topology (Ring, mesh, tree, star) which may need to be protected for damage and erosion due to various parameter including but not limited to physical theft, damage due to weather, animal and various other reason. In this paper our approach is to propose virtualized model to replace physical wireless sensor network (WSN) to virtual machine (VM) based vWSN which can be deployed on the cloud. Since security is one of the major concern for VM in cloud computing therefore we also proposed the enhanced 3-tier security model for vWSN.

Smart Wireless Climate Sensor Node for Indoor Comfort Quality Monitoring Application

The indoor environment climate should be controlled by continuously maintaining the temperature and relative humidity to achieve thermal comfort. A monitoring system of both parameters is the first step to improving indoor comfort quality. This paper presents a smart wireless climate sensor node for indoor temperature and humidity monitoring with a powering strategy and design approach for autonomous operation. The data logging results are sent to the cloud using Internet of Things protocol for thermal comfort monitoring and analysis. The monitoring and analysis results are useful to monitor and control the indoor thermal comfort condition for room occupants. A sensor node was designed that includes a low-power mode and compact size features. It consists of a built-in AVR-based microcontroller, a temperature and humidity sensor, and a wireless module with a supercapacitor as the power storage. A low-power algorithm and Internet of Things system were implemented to reduce the total energy consumption as low as possible during operation while improving the thermal comfort quality. This developed sensor node has a small error for temperature, and relative humidity sensed values resulting from calibration. At the same time, it also consumes low power for one cycle of data acquisition. The device was integrated with an Internet of Things monitoring system to monitor indoor thermal comfort in the field experiment. The experiment results showed that the indoor temperature and relative humidity were measured and recorded in the range of 25–30 °C and 30–40%, respectively. This prototype is a preliminary design to achieve an autonomous sensor node with a low-power energy consumption goal. Thus, with this feature, the developed sensor node has potential to couple with a micro energy harvester module toward a fully autonomous active node in further development.

Ultra-flexible thermoelectric generator based on silicone rubber sheet and electrodeposited thermoelectric material for waste heat harvesting

Thermoelectric generator (TEG) has a great potential for powering wireless Internet of Things (IoT) sensing systems and wearable electronic devices because of its capability of harvesting thermal energy into usable electricity. Herein, this work reports a high-performance ultra-flexible TEG based on a silicone rubber sheet and electrodeposited thermoelectric material. The fabricated flexible TEG shows a high output voltage of 1V under a temperature difference ΔT of 60 °C. Its maximum output power is obtained as 77.41 mW corresponding to the power density of 552.9μW/cm 2 under the same above ΔT. Fabricated flexible TEG shows higher performance and its flexible characteristic much better in comparison to the recent related works. The fabricated flexible TEG’s mechanical reliability and repeatability characteristics have been examined, and its output performance is highly consistent under high mechanical deformation. Moreover, the fabricated flexible TEG has been successfully demonstrated as an electrical power source for a temperature and humidity monitoring electronic device driven by heat waste generated by an electric thermos pot. The investigation may open an opportunity in a futuristic flexible TEG, especially in wireless self-powered sensing systems.

Design and Implementation of Humidity and Temperature Automation and Monitoring for Public Building Comfortable Climate Based on Cloud Platform

Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną.

Temporal dynamics of negative air ion concentration and its relationship with environmental factors: Results from long-term on-site monitoring

Negative air ions (NAIs) play an important role in evaluating forest health effects and promoting human physical and mental health. In this paper, long-term on-site monitoring of NAI concentration, air temperature, and relative humidity was conducted in real time over 24 h, from July 2019 to March 2021, to explore the temporal dynamic patterns of NAIs. We found that the daily dynamics of NAI concentration showed a bimodal curve. The peak concentrations usually occurred in the early morning (5:00–7:00) and afternoon (15:00–17:00), and the lowest concentrations usually occurred at noon (11:00–13:00). At the monthly scale, NAI concentrations were relatively high in February and August and low in May and December, and at the seasonal scale, NAI concentration was significantly higher in summer than in other seasons. Autumn had the second highest NAI concentration. There was no significant difference in NAI concentration between winter and spring. A comprehensive analysis shows that the AQI was the most key factor affecting NAI concentrations compared to temperature and relative humidity, especially the two indicators of particulate matter and ozone, and that NAI concentration had a negative correlation with these indicators and was significantly higher under favorable air quality conditions than under polluted air conditions. NAI concentrations and air temperature showed marked piecewise characteristics, with NAIs increasing linearly with rising temperature only if the Ta was separated into three ranges of −5 °C–10 °C, 10 °C–30 °C, and 30 °C–40 °C. With rising relative humidity, NAI concentration increased in accordance with a quadratic function. Our research provides new insights into the NAI temporal dynamics patterns and its driving factors, and will aid in scheduling outdoor recreation and forest health activities for urban people.

Flexible highly-sensitive humidity sensor based on CGO/SMPLAF for wearable human skin humidity detection

Conventional humidity sensors have poor flexibility and low sensitivity, which makes them difficult for wearable electronic device applications. This study aims to fabricate a flexible, high-sensitivity and breathable humidity sensor for skin humidity monitoring. The sensor includes two parts, i.e., shape memory polylactic acid fiber (SMPLAF) as the substrate and crumpled graphene oxide (CGO) membrane as the top humidity-sensitive layer. SMPLAF was firstly stretched and then heated to restore its original shape to obtain the CGO membrane. The unique crumpled morphology of CGO membrane provides a large specific surface area and high capillary force, which facilitates the rapid exchange of water molecules between the sensing CGO membrane and the external environment. Accordingly, the sensor exhibits excellent humidity sensitivity, fast response time (<5 s) and long term stability (15 days). Moreover, the CGO-based sensor demonstrates excellent flexibility. Bent at 120°, the response almost unchanged, whereas the response of the sensor without CGO decreased from 0.89 to 0.66. Though the sensor has the disadvantage of unstable performance at high RH, it could be overcome by controlling the wavelength of the crumpled structure of CGO. Due to the above superior properties, the sensor shows promising potentials for human breath monitoring and skin humidity test.

Real-time monitoring of humidity inside concrete structures utilizing embedded smart aggregates

The moisture level of hydraulic concrete structures strongly influences their strength and durability, so the real-time monitoring of the concrete humidity is crucial to ensure the regular operation of such structures. To this end, this study used an active monitoring method to observe the concrete humidity in real time by embedding pairs of piezoelectric smart aggregates (SAs) in concrete. The monitoring platform based on smart aggregates was constructed and measured five concrete specimens of two dimensions. The time-domain signals of the concrete specimens at different water content levels were obtained, and the wavelet packet energy analysis characterized the sensor signal energy quantitatively. On this basis, a humidity index was defined to describe the variation in the humidity of the concrete specimens. The experimental results demonstrate that the humidity index is practicable to monitor and evaluate the humidity inside concrete structures. Compared with traditional methods for monitoring the moisture content, the proposed technique does not need manual external excitation and can realize real-time, lossless, and long-time monitoring of concrete humidity.

RANCANG BANGUN SISTEM SMART HOME PADA RUMAH KOS BERBASIS INTERNET OF THINGS

Technological developments in the field of electronics to date have made the humanmindset advanced in the application of electronic equipment. One example of its development isremote control of electrical equipment. Many people use these developments as a means offacilitating life activities in solving problems that occur. The use of the internet in life can beused as an example in the use of technological developments. The internet is one of thecommunication media that has many benefits in increasing effectiveness, work efficiency, andmonitoring. The internet can be used as a transmission medium for control and monitoringsystems. With the internet, one can control electrical equipment and monitor the condition of thehouse. The concept originated from the Internet of Things or IoT. IoT is a concept where alltools and services in the system are connected to each other using internet media. Based onthese problems, a smart home system was created that functions as control of electricalequipment, smoke detection, monitoring of temperature and humidity in the room. Themonitoring and control system is integrated with Android applications and based on the Internetof Things.