scholarly journals Design, Development and Implementation of Real Time Canal and Weather Monitoring Devices

2021 ◽  
pp. 1-13
Author(s):  
N. V. Gowtham Deekshithulu ◽  
Joyita Mali ◽  
V. Vamsee Krishna ◽  
D. Surekha
Keyword(s):  
Real Time ◽  
Sensor Data ◽  
Weather Data ◽  
Design Development ◽  
Wireless Data ◽  
Depth Sensor ◽  
Velocity Sensor ◽  
Wireless Data Transmission ◽  
Ir Sensors ◽  
Monitoring Devices

In the present study, canal depth, velocity and weather monitoring sensors are designed and implemented in the field irrigation laboratory, Aditya Engineering College, Surampalem, Andhra Pradesh, India. The depth sensor which is used in this project is HC-SR04 sensor and the velocity sensor is YF-S403. A method of data acquisition and transmission based on ThingSpeak IOT is proposed. To record weather data (i.e., temperature, humidity, rainfall depth and wind speed) DHT11 sensor, ultrasonic sensor and IR sensors are used. The purpose of this project is to evaluate the performance of real time canal and weather monitoring devices. A structure of real time weather monitoring devices based on sensors and ThingSpeak IOT, a design was developed to realize the independent operation of sensors and wireless data transmission can help in minimizing the error in data collection. Arduino UNO is connected with canal depth and velocity sensor to generate the output, similarly NodeMCU is connected with weather monitoring device. The results revealed that observed sensor data showed good results when compared/calibrated with the existing conventional measurement system. In order to decrease the time and to get accurate value, it is recommended to consider the sensors for the proper use and to access weather data easily. The developed device worked satisfactorily with minimum or no errors.

scholarly journals Rancang Bangun Sistem Monitoring Data Sebaran Covid-19 Secara Real-Time menggunakan Arduino Berbasis Internet of Things (IoT)

2021 ◽  
Vol 5 (2) ◽  
pp. 206
Author(s):  
Agus Herlan ◽  
Iskandar Fitri ◽  
Rini Nuraini
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Information Distribution ◽  
Wireless Data ◽  
Process Data ◽  
Digital Era ◽  
Wireless Data Transmission ◽  
New Type ◽  
Information Media

Covid-19 is a new type of disease caused by a virus from the coronavirus class. Covid-19 spreads between humans very quickly and spreads to several countries including Indonesia, in just a few months. In this digital era, the role of media including IoT technology itself is very important for the development of information distribution in a fast, precise, and real-time manner and is able to cut existing distance boundaries. In this study, a wireless data monitoring system for the distribution of Covid-19 was created. This system uses a data parsing method that utilizes the Thingspeak application, to process data using the Arduino IDE and utilizing the ESP8266 as a wireless data transmission medium. The processed data is then displayed on an OLED layer.Keywords:Covid-19, Information, Media, IoT, Digital.

scholarly journals A Methodology for Heterogeneous Sensor Data Organization and Near Real-Time Data Sharing by Adopting OGC SWE Standards

2019 ◽  
Vol 8 (4) ◽  
pp. 167 ◽  
Author(s):  
Bartolomeo Ventura ◽  
Andrea Vianello ◽  
Daniel Frisinghelli ◽  
Mattia Rossi ◽  
Roberto Monsorno ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Data ◽  
Weather Data ◽  
Time Data ◽  
Heterogeneous Sensors ◽  
Heterogeneous Datasets ◽  
Real Time Data ◽  
Sensor Registration ◽  
Set Up ◽  
Minimum Interaction

Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eurac Research to automatically upload data, in near real-time, by adopting Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to guarantee interoperability. We set up a methodology capable of ingesting heterogeneous datasets to automatize observation uploading and sensor registration, with minimum interaction required of the user. This solution has been successfully tested and applied in the Long Term (Socio-)Ecological Research (LT(S)ER) Matsch-Mazia initiative, and the code is accessible under the CC BY 4.0 license.

scholarly journals Real-Time Continuous Acoustic Monitoring of Marine Mammals in the Mediterranean Sea

2021 ◽  
Vol 9 (12) ◽  
pp. 1389
Author(s):  
Matteo Sanguineti ◽  
Carlo Guidi ◽  
Vladimir Kulikovskiy ◽  
Mauro Gino Taiuti
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Marine Mammals ◽  
Acoustic Monitoring ◽  
Wireless Data ◽  
Time Data ◽  
Neutrino Telescopes ◽  
Acoustic Detector ◽  
Wireless Data Transmission ◽  
Passive Acoustic

The passive acoustic monitoring of cetaceans is a research method that can provide unique information on the animal’s behaviour since the animals can be studied at great depths and at a long-range without interference. Nevertheless, the real-time data collection, transfer, and analysis using these techniques are difficult to implement and maintain. In this paper, a review of several experiments that have used this approach will be provided. The first class of detectors consists of hydrophone systems housed under buoys on the sea surface with wireless data transmission, while the second type comprises several acoustic detector networks integrated within submarine neutrino telescopes cabled to the shore.

scholarly journals Standalone real-time health monitoring patch based on a stretchable organic optoelectronic system

2021 ◽  
Vol 7 (23) ◽  
pp. eabg9180
Author(s):  
Yeongjun Lee ◽  
Jong Won Chung ◽  
Gae Hwang Lee ◽  
Hyunbum Kang ◽  
Joo-Young Kim ◽  
...  
Keyword(s):  
Health Care ◽  
Heart Rate ◽  
Real Time ◽  
Light Emitting Diode ◽  
Next Generation ◽  
Wireless Data ◽  
Optoelectronic System ◽  
Wireless Data Transmission ◽  
Organic Optoelectronic ◽  
Rate Sensor

Skin-like health care patches (SHPs) are next-generation health care gadgets that will enable seamless monitoring of biological signals in daily life. Skin-conformable sensors and a stretchable display are critical for the development of standalone SHPs that provide real-time information while alleviating privacy concerns related to wireless data transmission. However, the production of stretchable wearable displays with sufficient pixels to display this information remains challenging. Here, we report a standalone organic SHP that provides real-time heart rate information. The 15-μm-thick SHP comprises a stretchable organic light-emitting diode display and stretchable organic photoplethysmography (PPG) heart rate sensor on all-elastomer substrate and operates stably under 30% strain using a combination of stress relief layers and deformable micro-cracked interconnects that reduce the mechanical stress on the active optoelectronic components. This approach provides a rational strategy for high-resolution stretchable displays, enabling the production of ideal platforms for next-generation wearable health care electronics.

A self-powered biosensing electronic-skin for real-time sweat Ca2+ detection and wireless data transmission

2019 ◽  
Vol 28 (8) ◽  
pp. 085015 ◽  
Author(s):  
Tianming Zhao ◽  
Chenwei Zheng ◽  
Haoxuan He ◽  
Hongye Guan ◽  
Tianyan Zhong ◽  
...  
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Wireless Data ◽  
Electronic Skin ◽  
Wireless Data Transmission ◽  
Self Powered

scholarly journals An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4175
Author(s):  
Huma Zia ◽  
Ahsan Rehman ◽  
Nick R. Harris ◽  
Sundus Fatima ◽  
Muhammad Khurram
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Crop Yields ◽  
Test Site ◽  
Irrigation Scheduling ◽  
Sensor Data ◽  
Weather Data ◽  
Experimental Comparison ◽  
Water Usage ◽  
Traditional Irrigation

Over recent years, the demand for supplies of freshwater is escalating with the increasing food demand of a fast-growing population. The agriculture sector of Pakistan contributes to 26% of its GDP and employs 43% of the entire labor force. However, the currently used traditional farming methods such as flood irrigation and rotating water allocation system (Warabandi) results in excess and untimely water usage, as well as low crop yield. Internet of things (IoT) solutions based on real-time farm sensor data and intelligent decision support systems have led to many smart farming solutions, thus improving water utilization. The objective of this study was to compare and optimize water usage in a 2-acre lemon farm test site in Gadap, Karachi, for a 9-month duration, by deploying an indigenously developed IoT device and an agriculture-based decision support system (DSS). The sensor data are wirelessly collected over the cloud and a mobile application, as well as a web-based information visualization, and a DSS system makes irrigation recommendations. The DSS system is based on weather data (temperature and humidity), real time in situ sensor data from the IoT device deployed in the farm, and crop data (Kc and crop type). These data are supplied to the Penman–Monteith and crop coefficient model to make recommendations for irrigation schedules in the test site. The results show impressive water savings (~50%) combined with increased yield (35%) when compared with water usage and crop yields in a neighboring 2-acre lemon farm where traditional irrigation scheduling was employed and where harsh conditions sometimes resulted in temperatures in excess of 50 °C.

Design of Multi-Channel Physiological Signal Monitor Based on Wireless Data Transmission

2014 ◽  
Vol 496-500 ◽  
pp. 1207-1210
Author(s):  
Zhen Zhang ◽  
Fang Liu
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Simulation Analysis ◽  
Clinical Applications ◽  
Monitoring Station ◽  
Wireless Data ◽  
Wireless Monitoring ◽  
Physiological Signal ◽  
Wireless Data Transmission ◽  
Long Time

In order to monitor important parameters of patient vital signal continuously in real-time manner for a long time, a multi-channel physiological signal monitor based on wireless data transmission was designed. The device can acquire 8-channel high-resolution signal of electromyography or electrocardiograph and transmit these signal to remote monitoring station using real-time wireless communication. The monitoring station implements data displaying, storing, analyzing and processing. Simulation analysis shows that the design of the monitor has a broad outlook of clinical applications, making possible to realize the telemetry wireless monitoring of respiratory disease.

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