scholarly journals A LOW-COST SOLAR FARM MONITORING SYSTEM BASED ON CLOUD DATABASE

MEST Journal ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 1-8
Author(s):  
Fawzi Al-Naima ◽  
Abdullah Hamad
2019 ◽  
Author(s):  
wen-yaw chung

This paper is mainly aimed to develop a solar powered hand-held monitoring system for real-time crop-growth multiple environment parameter sensing and ZigBee-based wireless data transmission for Internet of Thing (IoT) applications. The proposed solar powered system successfully built a Wireless Sensor Network (WSN) for quality agriculture application by using the ZigBee technology standard and TI’s CC2530 chip. Commercially available sensors were utilized specifically for temperature, humidity, soil moisture, light, chlorophyll, and CO2 monitoring. With the consideration and advantages of low power, low cost and multi-node capabilities, we chose ZigBee-based wireless network to transmit data into the cloud system for further data processing and analysis. When the sensors and Zigbee transmission system are set up, the data obtained through the human machine interface on the host will be sent to the cloud database established by MySQL in XAMPP. The management and data storage of the cloud database are both processed under the phpMyAdmin system. In addition, we use another program in XAMPP - Apache HTTP Server to set up the php website. Finally, this database of the sensing information will be used for assessment and evaluation of the environmental condition, data log recording, risk management and decision making. These resources can feed back to farmer’s cell phones through a decision support system. The experimental design and field test were verified in Tai-Yuan Organic farm located in Tao-Yuan County, Taiwan. The system will have a potential to be deployed into an open-field or green-house based farm to improve the optimized crop cultivation and increase the harvest yield.


Author(s):  
I Made Oka Widyantara ◽  
I Made Dwi Asana Putra ◽  
Ida Bagus Putu Adnyana

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.


2020 ◽  
pp. 1-1
Author(s):  
Abu Ilius Faisal ◽  
Sumit Majumder ◽  
Ryan Scott ◽  
Tapas Mondal ◽  
David Cowan ◽  
...  

Author(s):  
Nusrat Binta Nizam ◽  
Tohfatul Jinan ◽  
Wahida Binte Naz Aurthy ◽  
Md. Rakib Hossen ◽  
Jahid Ferdous

Landslides ◽  
2021 ◽  
Author(s):  
Lorenzo Brezzi ◽  
Alberto Bisson ◽  
Davide Pasa ◽  
Simonetta Cola

AbstractA large number of landslides occur in North-Eastern Italy during every rainy period due to the particular hydrogeological conditions of this area. Even if there are no casualties, the economic losses are often significant, and municipalities frequently do not have sufficient financial resources to repair the damage and stabilize all the unstable slopes. In this regard, the research for more economically sustainable solutions is a crucial challenge. Floating composite anchors are an innovative and low-cost technique set up for slope stabilization: it consists in the use of passive sub-horizontal reinforcements, obtained by coupling a traditional self-drilling bar with some tendons cemented inside it. This work concerns the application of this technique according to the observational method described within the Italian and European technical codes and mainly recommended for the design of geotechnical works, especially when performed in highly uncertain site conditions. The observational method prescribes designing an intervention and, at the same time, using a monitoring system in order to correct and adapt the project during realization of the works on the basis of new data acquired while on site. The case study is the landslide of Cischele, a medium landslide which occurred in 2010 after an exceptional heavy rainy period. In 2015, some floating composite anchors were installed to slow down the movement, even if, due to a limited budget, they were not enough to ensure the complete stabilization of the slope. Thanks to a monitoring system installed in the meantime, it is now possible to have a comparison between the site conditions before and after the intervention. This allows the evaluation of benefits achieved with the reinforcements and, at the same time, the assessment of additional improvements. Two stabilization scenarios are studied through an FE model: the first includes the stabilization system built in 2015, while the second evaluates a new solution proposed to further increase the slope stability.


Author(s):  
Luo Xiaohui

This paper proposed a low cost wireless monitoring system based on ZigBee wireless transmission, and designed a new floating voltage sensor which is suitable for the monitoring of medium voltage and high voltage(MV/HV) public equipment. The system used TI-CC2530 as the controller, proposed a new moving average voltage sensing(MAVS) algorithm by reasonable assumptions, and adopted algorithms to perform the theoretical analysis for the single phase and three-phase voltage. At last, the author carried out a practical experiment on the wireless floating voltage sensor under the voltage up to 30kV, the experimental results showed that the proposed low cost wireless sensor can achieve a good voltage monitoring function, and the error is less than 3%.


2019 ◽  
Author(s):  
Jeba Anandh S ◽  
Anandharaj M ◽  
Aswinrajan J ◽  
Karankumar G ◽  
Karthik P

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