scholarly journals Solar Driven Wind Speed Monitoring System Using Wireless or Wired Sensors

2014 ◽  
Vol 06 (09) ◽  
pp. 213-221
Author(s):  
Federico Hahn ◽  
Mauricio Pablo ◽  
José Reyes
Keyword(s):  
Wind Speed ◽  
Monitoring System

Monitoring and Material Simulation of Automatic-Cooling System for Waterfowl Incubator

2016 ◽  
Vol 723 ◽  
pp. 268-273
Author(s):  
Huaang Youh Hurng ◽  
Yung Jia Shen
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Optimization Design ◽  
Cooling System ◽  
Carbon Dioxide Concentration ◽  
Simulation Software ◽  
Dynamics Simulation ◽  
Thermal System ◽  
Turbulent Wind ◽  
Control Risk

In order to reduce the required manpower and biosecurity control risk for waterfowl breeding eggs, this study developed waterfowl automatic eggs cooling incubator which using the concept of pre-heating and pre-wetting type front control thermal system and add the automatic watering eggs cooling system, trolley egg rack, pneumatic eggs overturning system and monitoring system. The front control thermal system preheats and pre-wet the air to the required environment for hatching and import into incubator for the hatching test. The test results show that the hatching environment uniformity of automatic eggs cooling incubator developed by this study is better than the traditional incubator’s environment. The monitoring system can stable control the variation for three hatching parameters of temperature, humidity and carbon dioxide concentration. Besides the combination of automatic watering eggs cooling system for hatching process can significantly reduce the required manpower for watering eggs cooling and biosecurity control risk, the average hatching ratio is 82.06% that can satisfy the requirement of general professional goose breeding eggs incubator. The test using computational fluid dynamics simulation software (CFD) to simulate the variable turbulent wind speed. On the premise of using temperature as the respondence to conduct the optimization design of response surface methodology. The results shows that the incubator temperature standard deviation decreased from 0.26°C to 0.14°C when three turbulent wind speed changed from 4.25 m/s, 3.50 m/s and 4.63 m/s to 2 .00m/s, 5 .00m/s and 3.81 m/s. There is a further increase for the uniformity of the temperature field.

scholarly journals Microcontroller Based Portable Anemometer for Wind Monitoring System

2019 ◽  
Vol 8 (4) ◽  
pp. 6262-6267
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Wind Direction ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Mechanical Energy ◽  
Research Work ◽  
Electrical Energy ◽  
Electrical Signal ◽  
Military Operations

Weather monitoring and forecasting system plays an important role nowadays in all the aspect of science, trade and other fields not limited to the field of cultivation, farming, fishery, naval trade, shipping, military operations, air navigation etc. Wind speed and wind direction is one of the most vital weather variables like moisture, pressure, temperature, density, rain forecast, solar radiation, clouds, air masses, fronts and storms. In this paper, a low cost PIC16F887 microcontroller based portable wind speed and wind direction monitoring system called an anemometer is designed & experimented. The designed anemometer is divided into two parts namely mechanical and electrical parts. Both parts are developed, designed and tested in this research work. Wind turns the cup of Anemometer and produced mechanical energy that converted to electrical energy or signal. The electrical signal or pulse intervals determine by the microcontroller and generate consequence pulses to find out the wind speed. The programming codes inside the microcontroller helps to extract the voltage drops measured from a potentiometer connected to the mechanical part of Anemometer and intellect the wind direction precisely. A lucrative 16x2 liquid crystal display (LCD) is used to display the wind speed and direction.

scholarly journals Monitoring Pembangkit Listrik Tenaga Angin Menggunakan Arduino Berbasis GUI Matlab

2020 ◽  
Vol 1 (2) ◽  
pp. 229-233
Author(s):  
Nila Gusriani ◽  
Muldi Yuhendri
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Wind Power ◽  
Monitoring System ◽  
Output Power ◽  
Rotation Speed ◽  
Wind Power Plant ◽  
Power Generator ◽  
Wind Power Generator ◽  
Generator Output

Wind power is a type of renewable energy power plant that is starting to develop in Indonesia. This plant uses wind turbines to convert wind power into mechanical power that will drive the generator. The generators used in this wind power plant have limited capabilities. In order to prevent operation that exceeds the capacity of the generator, it is necessary to monitor and protect the components of the wind power generator. This study proposes a wind power generator monitoring system using the Arduino MKR 1000 based on the Matlab Graphical User Interface (GUI). Wind power plant parameters that are monitored are wind speed, turbine rotation speed and generator output power. The tool made was tested on a wind power plant in the laboratory that uses a horizontal axis wind turbine with a permanent magnet type generator. The test results show that the wind power generator monitoring system made in this study has worked well. This can be seen from the wind speed data, the turbine rotation speed and the generator output power data displayed on the monitoring screen in accordance with the data available on the measuring instrument.

scholarly journals IoT based smart ferry system

2021 ◽  
Vol 2115 (1) ◽  
pp. 012015
Author(s):  
Suraj Gahalyan ◽  
P Sriramalakshmi
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Open Source Software ◽  
Research Work ◽  
Smart Devices ◽  
Technical Process ◽  
Engine Room ◽  
Rescue Team ◽  
Cloud Server ◽  
Weight Sensor

Abstract This research work discusses an IoT based smart ferry system. The proposed system is implemented in NODE Red based simulations. Each component is considered as nodes and analysis is done. The technical process is explained with the help of a flowchart. And how the information is passed on to the sailors, ferry crew, ferry operators, ferry controllers and maintenance engineer is discussed. In addition it is displayed using the Node red dashboard as well as through ThingSpeak cloud server for further analysis. The proposed idea is to build an IoT infrastructure consisting of smart devices which will measure different attributes of a boat and notify the captain or the rescue team of the difficulties or the problem faced by the boat during a trip. The monitoring system is based on open source software to retrieve data from the sensors at intervals and send them to the cloud in order to easily monitor them via a dashboard. Fully automated and robust IOT enabled smart devices are developed to collect the data from the boat. The Data to measure the weight and passenger on board is collected by Weight Sensor and IR Sensor and the Captain of the Ship is notified for the same. Temperature of the engine room is monitored and under severe circumstances the rescue team is notified for the same. The wind speed is also monitored in case of stormy conditions.

scholarly journals Study on Typhoon Characteristic Based on Bridge Health Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Xu Wang ◽  
Bin Chen ◽  
Dezhang Sun ◽  
Yinqiang Wu
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Wind Velocity ◽  
Gaussian Distribution ◽  
Full Range ◽  
Integral Scale ◽  
Gust Factor ◽  
Wind Speeds ◽  
Bridge Health Monitoring ◽  
Mean Wind Speed

Through the wind velocity and direction monitoring system installed on Jiubao Bridge of Qiantang River, Hangzhou city, Zhejiang province, China, a full range of wind velocity and direction data was collected during typhoon HAIKUI in 2012. Based on these data, it was found that, at higher observed elevation, turbulence intensity is lower, and the variation tendency of longitudinal and lateral turbulence intensities with mean wind speeds is basically the same. Gust factor goes higher with increasing mean wind speed, and the change rate obviously decreases as wind speed goes down and an inconspicuous increase occurs when wind speed is high. The change of peak factor is inconspicuous with increasing time and mean wind speed. The probability density function (PDF) of fluctuating wind speed follows Gaussian distribution. Turbulence integral scale increases with mean wind speed, and its PDF does not follow Gaussian distribution. The power spectrum of observation fluctuating velocity is in accordance with Von Karman spectrum.

Full-Scale Measurements of Typhoon Effects on a Super RC Tall Building Based on a Remote Monitoring System

2008 ◽  
Vol 400-402 ◽  
pp. 815-820
Author(s):  
Lun Hai Zhi ◽  
Q.S. Li ◽  
Z.N. Li ◽  
J.R. Wu
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Field Data ◽  
Field Measurements ◽  
Tall Building ◽  
Wind Effects ◽  
Gust Factor ◽  
Remote Monitoring System ◽  
Random Decrement Technique

This paper presents the field measurement results of wind effects on the world’s tallest reinforced concrete building (CITIC Plaza, 391 m high) located in Guangzhou during the passage of typhoon Pabuk on August 10, 2007. The field data such as wind speed, wind direction and acceleration responses were simultaneously and continuously recorded from the tall building by a remote monitoring system. Detailed analysis of the field data was carried out to investigate the wind effects on the super tall building. The characteristics of the typhoon-generated wind including turbulence intensity, gust factor, turbulence integral length scale and power spectral density of fluctuating wind speed were analyzed. The dynamic characteristics of the buildings were determined from the field measurements and comparison with those calculated from the computational model of the building was made. The measured natural frequencies of the two fundamental sway modes of the building were found to be larger than those calculated. The damping ratios of the building were evaluated by random decrement technique, which demonstrated obvious amplitude-dependent characteristics and increased with increasing amplitude of the building during Typhoon Pabuk.

scholarly journals Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2397 ◽  
Author(s):  
Long Zhao ◽  
Xinbo Huang ◽  
Jianyuan Jia ◽  
Yongcan Zhu ◽  
Wen Cao
Keyword(s):  
Wind Speed ◽  
Transmission Line ◽  
Fiber Bragg Grating ◽  
Natural Frequency ◽  
Monitoring System ◽  
Natural Frequencies ◽  
Modal Identification ◽  
Bragg Grating ◽  
Frequency Variation ◽  
Natural Frequency Variation

Transmission lines are affected by Aeolian vibration, which causes strands to break and eventually causes an entire line to break. In this paper, a method for monitoring strand breaking based on modal identification is proposed. First, the natural frequency variation of a conductor caused by strand breakage is analyzed, and a modal experiment of the LGJ-95/15 conductor is conducted. The measurement results show that the natural frequencies of the conductor decrease with an increasing number of broken strands. Next, a monitoring system incorporating a fiber Bragg grating (FBG)-based accelerometer is designed in detail. The FBG sensor is mounted on the conductor to measure the vibration signal. A wind speed sensor is used to measure the wind speed signal and is installed on the tower. An analyzer is also installed on the tower to calculate the natural frequencies, and the data are sent to the monitoring center via 3G. Finally, a monitoring system is tested on a 110 kV experimental transmission line, and the short-time Fourier transform (STFT) method and stochastic subspace identification (SSI) method are used to identify the natural frequencies of the conductor vibration. The experimental results show that SSI analysis provides a higher precision than does STFT and can extract the natural frequency under various wind speeds as an effective basis for discriminating between broken strands.

scholarly journals Micro climate monitoring system in closed broiler cages based on the internet of things

2020 ◽  
Vol 8 (2) ◽  
pp. 100-105
Author(s):  
Damar Wicaksono ◽  
Taufiq Kamal
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Effective Temperature ◽  
Sensor Data ◽  
The Internet ◽  
Climate Monitoring ◽  
Cloud Server ◽  
Microclimate Monitoring ◽  
Smart Agriculture ◽  
The Internet Of Things

Smart agriculture has an emerged concept by using IoT sensors capable of providing various information about their field condition and conducting environmental monitoring to improve the yield of efficient crops. This research aims to develop a microclimate monitoring system in a closed house. The microclimate being monitored is the effective temperature, which is the temperature felt by broilers at that time in a fast area. In this research, IoT has been implemented using WeMos D1 R32 by sending sensor data to observe the effective temperature parameters as actual temperature, humidity, and wind speed into an MQTT cloud server. Microclimate control in the cage is based on effective temperature. The data can be displayed on a 16x4 LCD screen and accessed via an Android smartphone from anywhere and at any time.

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