scholarly journals Monitoring of environmental parameters using Internet of Things and analysis of correlation between the parameters in a DWC Hydroponic Technique

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
K.R. Venugopal ◽  
S.H. Manjula ◽  
C.R. Yamuna Devi ◽  
P. Srivani
Keyword(s):  
Internet Of Things ◽  
Environmental Parameters

scholarly journals Model Sistem Monitoring pH dan Kekeruhan pada Akuarium Air Tawar berbasis Internet of Things

METANA ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 49-56
Author(s):  
Dista Yoel Tadeus ◽  
Khasnan Azazi ◽  
Didik Ariwibowo
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Aquatic Vegetation ◽  
Ph Value ◽  
Low Cost ◽  
Environmental Parameters ◽  
Ornamental Fish ◽  
Automation System ◽  
Water Turbidity ◽  
Air Filter

Ikan hias dan vegetasi air memiliki rentang toleransi terhadap nilai parameter lingkungan. Parameter tersebut hendaknya senantiasa diawasi demi kelangsungan hidupnya. Internet of Things (IoT) telah dimanfaatkan sebagai sistem monitoring dan otomasi parameter lingkungan ikan dan vegetasi air namun sistem ini membutuhkan biaya yang tinggi. Tujuan penelitian ini adalah mengembangkan suatu model sistem monitoring berbasis IoT berbiaya rendah untuk memberikan informasi parameter pH dan kekeruhan air setiap saat kepada pemilik ikan hias. Sistem ini dibangun menggunakan komponen opensource dan sensor berbiaya rendah. Data monitoring digunakan untuk mengaktifkan aktuator berupa filter air. Filter akan aktif apabila tingkat kekeruhan air sudah melebihi batas kekeruhan yang ditentukan. Pengujian kekeruhan air aquarium menunjukkan saat kekeruhan mencapai 3000 ntu pukul 14.12 pompa aktif dan filter bekerja sampai kekeruhan berada pada nilai 498 ntu pada pukul 17.00 dan pompa mati secara otomatis. Nilai pH dan kekeruhan air berhasil ditampilkan dengan baik di aplikasi Blynk pada ponsel. Hasil pengujian menyimpulkan bahwa sistem monitoring yang dikembangkan telah berhasil diimplementasikan dengan baik.  Ornamental fish and aquatic vegetation have a tolerance range of environmental parameter values. These parameters should always be monitored for survival. Internet of Things (IoT) has been utilized as a monitoring and automation system for environmental parameters of fish and aquatic vegetation, but this system requires high costs. The purpose of this study is to develop a low-cost IoT-based monitoring system model to provide information on pH parameters and water turbidity at any time to ornamental fish owners. This system is built using opensource components and low-cost sensors. Monitoring data is used to activate the actuator in the form of a water filter. The filter will active if the turbidity level of water has exceeded the specified turbidity limit. The aquarium water turbidity test showed that when the turbidity reached 3000 ntu at 14.12 the pump was active and the filter worked until the turbidity was at 498 ntu at 17.00 and the pump automatically shut down. The pH value and the turbidity of the water were successfully displayed in the Blynk application on the cellphone. The test results concluded that the monitoring system developed was successfully implemented. 

scholarly journals Sistem Pemantauan dan Pendeteksi Kebakaran berbasis Logika Fuzzy dan Real-time Database

2021 ◽  
Vol 9 (3) ◽  
pp. 577
Author(s):  
EVA AISAH HW ◽  
ROHMAT TULLOH ◽  
SUGONDO HADIYOSO ◽  
DADAN NUR RAMADAN
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Real Time ◽  
Human Error ◽  
Detection System ◽  
Environmental Parameters ◽  
Fire Detection ◽  
Smoke Detector ◽  
Web Interface ◽  
Average Transmission

ABSTRAKKebakaran rumah seringkali disebabkan oleh kelalaian manusia. Oleh karena itu diperlukan sebuah sistem yang dapat mendeteksi kebakaran secara online realtime. Pada studi ini, dirancang dan diimplementasikan sebuah sistem pendeteksi kebakaran dengan sejumlah sensor untuk mengukur beberapa parameter lingkungan. Sistem ini dilengkapi dengan pengambil keputusan menggunakan metode fuzzy logic. Parameter lingkungan yang diukur mencakup suhu ruangan, asap dan api yang kemudian dapat dimonitor secara real-time melalui web interface menggunakan Internet of Things platform. Pengujian menunjukkan bahwa detektor dapat mendeteksi api dengan jarak hingga 100 cm dengan akurasi mencapai 100%. Pengujian sensor suhu menunjukkan akurasi 98.79%, sementara itu detektor asap memperoleh akurasi 77.81%. Sistem ini mampu mengirimkan data dengan rata-rata delay transmisi 0.62 detik. Sistem usulan ini diharapkan dapat menyediakan pemantauan kondisi suatu ruangan secara real-time.Kata kunci: Kebakaran, Real-Time, Deteksi, Fuzzy, Internet Of Things ABSTRACTHouse fires are often caused by human error. Therefore, we need a system that can detect fires online real-time. In this study, a fire detection system with a number of sensors is designed and implemented to measure several environmental parameters. This system is equipped with a decision maker using the fuzzy logic method. The environmental parameters measured include room temperature, smoke and fire which can then be monitored in real time via a web interface using the Internet of Things platform. Tests show that the detector can detect fires with a distance of up to 100 cm with an accuracy of up to 100%. The temperature sensor test shows an accuracy of 98.79%, while the smoke detector generates an accuracy of 77.81%. This system is capable of sending data with an average transmission delay of 0.62 seconds. This proposed system is expected to provide realtime monitoring of the condition of a room.Keywords: Fire, Real-time, detection, Fuzzy, internet of things

scholarly journals INTERNET OF THINGS: PERSPECTIVES OF ADAPTIVE SYSTEMS

Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 55-66
Author(s):  
M. Efimov ◽  
R. Kirichek
Keyword(s):  
Internet Of Things ◽  
Adaptive Learning ◽  
Adaptive Systems ◽  
Complex Analysis ◽  
Environmental Parameters ◽  
The Internet ◽  
Research Subject ◽  
Scientific Approach ◽  
The Internet Of Things ◽  
User Intervention

Research subject. Adaptive systems in the concept of the Internet of things. Objective. To analyze and present the capabilities of adaptive systems in relation to the eco-system of the Internet of things. Method. In addition to the scientific approach, graph (network) and algebraic methods are used in the work, as well as methods of complex analysis. Core results. The use of adaptive systems will make it possible to predict the values of environmental parameters and perform a series of actions without user intervention. As a result of this adjustment, the system becomes adaptive, learning and adapting to changes in the environment, or to the modes of the commands given. Practical relevance. The article presents an analysis of systems and provides examples of the use of adaptive systems.

scholarly journals Semantic Representation and Internet of Things in Cultural Heritage Preventive Conservation

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Konstantinos Michalakis ◽  
Efthymia Moraitou ◽  
John Aliprantis ◽  
George Caridakis
Keyword(s):  
Internet Of Things ◽  
Semantic Web ◽  
Cultural Heritage ◽  
Semantic Representation ◽  
Environmental Parameters ◽  
Streaming Data ◽  
Sensor Data ◽  
Physical Interaction ◽  
Semantic Web Technologies ◽  
Preventive Conservation

Preservation of Cultural Heritage (CH) collections in the best possible condition for the longest time possible is a crucial part of CH Institutions activity, since it ensures artefacts’ effective function in perpetuity. In this context, preservation processes that do not include any physical interaction with an object or collection can be regarded as preventive conservation. Preventive conservation measures and activities include among others the monitoring and management of environmental factors, in order to reduce potential risks of collections condition. The advent of the Internet of Things (IoT) can help towards this goal by automating the collection of data through sensors deployed in the cultural space and providing available services based on the IoT ecosystem. IoT technologies can facilitate the preventive conservation of tangible CH by exploiting streaming data produced by networks of sensors that keep track of changes in environmental parameters of a particular museum, in order to monitor the condition of its collections. Moreover, Semantic Web (SW) technologies could increase the efficiency of sensed data management by introducing reasoning mechanisms that will result in useful inferences regarding the combination of long-term or short-term records of sensed data and material decay. This work summarizes current state-of-the-art frameworks and monitoring systems that collect data from sensors in CH environments and the use of semantic web technologies for the efficient management of conservation and sensor data. Based on this study, it proposes an IoT infrastructure with semantic tools, which aims to enhance preventive conservation science.

scholarly journals Digital Twin Conceptual Model within the Context of Internet of Things

2020 ◽  
Vol 12 (10) ◽  
pp. 163 ◽  
Author(s):  
A. R. Al-Ali ◽  
Ragini Gupta ◽  
Tasneem Zaman Batool ◽  
Taha Landolsi ◽  
Fadi Aloul ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Conceptual Model ◽  
Environmental Parameters ◽  
3D Models ◽  
Physical Object ◽  
Virtual Space ◽  
Computing Device ◽  
Digital Twin ◽  
Smart Healthcare ◽  
Space Data

As the Internet of Things (IoT) is gaining ground and becoming increasingly popular in smart city applications such as smart energy, smart buildings, smart factories, smart transportation, smart farming, and smart healthcare, the digital twin concept is evolving as complementary to its counter physical part. While an object is on the move, its operational and surrounding environmental parameters are collected by an edge computing device for local decision. A virtual replica of such object (digital twin) is based in the cloud computing platform and hosts the real-time physical object data, 2D and 3D models, historical data, and bill of materials (BOM) for further processing, analytics, and visualization. This paper proposes an end-to-end digital twin conceptual model that represents its complementary physical object from the ground to the cloud. The paper presents the proposed digital twin model’s multi-layers, namely, physical, communication, virtual space, data analytic and visualization, and application as well as the overlapping security layer. The hardware and software technologies that are used in building such a model will be explained in detail. A use case will be presented to show how the layers collect, exchange, and process the physical object data from the ground to the cloud.

Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities

2021 ◽  
Vol 13 (11) ◽  
pp. 6398
Author(s):  
Anita Gehlot ◽  
Sultan S. Alshamrani ◽  
Rajesh Singh ◽  
Mamoon Rashid ◽  
Shaik Vaseem Akram ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Real Time ◽  
Long Range ◽  
Smart Cities ◽  
Renewable Energy Sources ◽  
Environmental Parameters ◽  
Lighting System ◽  
Broad Perspective ◽  
Image Sensing

Intelligent and resilient infrastructure is necessary for smart cities for contributing flexible and smart amenities to the citizens. Concerning the United Nations (UN) estimation, the global population residing in urban cities will reach 68% by 2050. Additionally, the Sustainable Energy Action Plans (SEAP) report suggests implementing energy efficiency technologies in smart cities to meet the rising urban population requirement. Internet of Things (IoT) technology empowers to achieve the goal of energy efficiency by integrating sensors, wireless technology, and renewable energy sources in the lighting system. At present, the IoT-based lighting system in urban cities is implemented with streetlamps and lampposts. In this study, we are focusing on lampposts, as it has the flexibility of establishing and implementing a multitude of applications on a single system. Due to technological advancement, the lamppost is embedded with multiple sensors, communication protocols, and energy distribution infrastructure for delivering smart and affordable amenities to the citizens residing in the smart cities. This motivates us to implement a smart lamppost that provides a multitude of applications such as smart light, digital signs, environmental monitoring conditions, electric vehicle (EV) charging port, wireless fidelity (Wi-Fi) hotspot, etc., on a single lamppost. This study proposed the IoT-assisted fog and edge-based smart lamppost for the smart cities to realize the smart infrastructure. Further, this smart lamppost is integrated with low power and long-range communication, i.e., Long Range (LoRa), enabling the smart lamppost to communicate the sensory data to a long-range. Additionally, LoRa is integrated with a Wi-Fi module for establishing the interconnection between the smart lamppost and IoT server. Generally, the proposed architecture is broad perspective; however, we have developed and implemented the hardware models of three components including lighting system, environmental parameters and image sensing in real time. Lighting system and environmental parameter monitoring are integrated on same hardware model for sensing and logging the real-time values of temperature, humidity, CO and light intensity on the IoT server. The developed image sensing prototype based on ESP 32 controller is also evaluated in real-time scenarios, and the performance of the prototype is efficient. The proposed system delivers reliable performance in terms of sensing and communicating environmental parameters and images to the IoT server. Moreover, in future, we will complete the development of other components of the smart lamppost for enhancing the smarter infrastructure in smart cities.

Detection of noxious gases by implementing internet of things technology

2018 ◽  
Vol 7 (2.32) ◽  
pp. 18
Author(s):  
G Arun Sai ◽  
B Bharat Kumar ◽  
K Sai Likhitha ◽  
Raju Anitha
Keyword(s):  
Internet Of Things ◽  
Environmental Parameters ◽  
Living Environment ◽  
Industrial Accidents ◽  
Safety Control ◽  
Gas Leakage ◽  
Section Data ◽  
Alert Message ◽  
Arduino Uno ◽  
Internet Of Things Technology

Harmful gas leakage accidents are the main reason for workers death in industries which work mainly using chemicals. Gas leakage can be easily detected and controlled by using latest trends in information technology by applying internet of things. This project intended to avoid industrial accidents and to monitor harmful gases and to intimate alert message to safety control board of industry using arduino Uno r3 and internet of things. Arduino Uno r3 board is used as central microcontroller which is connected with sensor. Such as temperature, gas sensor, alcohol sensor which can continuously monitor respective environmental parameters. Hence this device may be used as multi gases detection apparatus more over the rate of response is high. An alarm is produced instantly if the level of the gases goes above the normal level means indication through the internet specific receiver section. Data received by sensor  is stored in internet which can be used for further processing and it can be analyzed for improving safety regulations. This model can be future extended for providing better living environment for people in and around industries with a pollution controlled environment.  

scholarly journals Sensor Network Proposal for Greenhouse Automation placed at the South of Algeria

2019 ◽  
Vol 10 (4) ◽  
pp. 53
Author(s):  
Touhami Achouak ◽  
Benahmed Khelifa ◽  
Laura García ◽  
Lorena Parra ◽  
Jaime Lloret ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Population Growth ◽  
Fruits And Vegetables ◽  
New Technologies ◽  
Environmental Parameters ◽  
The Internet ◽  
Rapid Population Growth ◽  
The South ◽  
Short Period ◽  
The Internet Of Things

The south of Algeria has a very hard climate. In summer, it is very hot and dry with a very violent sand wind and in winter very cold and dry, from where several plants cannot be cultivated in an open field. With rapid population growth, the production of fruits and vegetables cannot be sufficient. To solve these two major problems, we propose in this paper a new mechanism for the control of the climate inside a greenhouse. The objective of this work is to propose a new design for the greenhouse that can be managed and controlled automatically. The management and the control of this greenhouse are done because of our new proposed algorithms, and the use of new technologies such as sensors, actuators, microcontrollers, and the Internet of things to facilitate the tasks of farmers in the south of Algeria, and to improve the productiveness of the agriculture. We present the results of applying our proposal in a greenhouse during a short period of time and the changes on the environmental parameters inside the greenhouse.

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