IoT-Based Smart Agriculture Monitoring System with Double-Tier Data Storage Facility

2020 ◽  
pp. 99-109
Author(s):  
MD Safayet Ahmad ◽  
Akhlak Uz Zaman
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Storage Facility ◽  
Smart Agriculture

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

scholarly journals Palm Oil Soil Monitoring System for Smart Agriculture

2020 ◽  
Vol 12 (6) ◽  
Author(s):  
Roziyani Rawi ◽  
◽  
Muhammad Shakhil Iman Hasnan ◽  
Aznida Abu Bakar Sajak ◽  
◽  
...  
Keyword(s):  
Monitoring System ◽  
Palm Oil ◽  
Soil Monitoring ◽  
Smart Agriculture

Monitoring of a Grid Storage Virtualization Service

2013 ◽  
Vol 5 (1) ◽  
pp. 53-69
Author(s):  
Jacques Jorda ◽  
Aurélien Ortiz ◽  
Abdelaziz M’zoughi ◽  
Salam Traboulsi
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Large Scale ◽  
Distributed Storage ◽  
Storage System ◽  
Data Access ◽  
Data Placement ◽  
Workload Prediction ◽  
Storage Virtualization

Grid computing is commonly used for large scale application requiring huge computation capabilities. In such distributed architectures, the data storage on the distributed storage resources must be handled by a dedicated storage system to ensure the required quality of service. In order to simplify the data placement on nodes and to increase the performance of applications, a storage virtualization layer can be used. This layer can be a single parallel filesystem (like GPFS) or a more complex middleware. The latter is preferred as it allows the data placement on the nodes to be tuned to increase both the reliability and the performance of data access. Thus, in such a middleware, a dedicated monitoring system must be used to ensure optimal performance. In this paper, the authors briefly introduce the Visage middleware – a middleware for storage virtualization. They present the most broadly used grid monitoring systems, and explain why they are not adequate for virtualized storage monitoring. The authors then present the architecture of their monitoring system dedicated to storage virtualization. We introduce the workload prediction model used to define the best node for data placement, and show on a simple experiment its accuracy.

scholarly journals Software Design of a Railway Signal Monitoring System based on Optical Fiber Sensing

2018 ◽  
Vol 14 (08) ◽  
pp. 134
Author(s):  
Ma Chun-ying ◽  
Li Biqing
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
Online Monitoring ◽  
Railway Track ◽  
Time Data ◽  
Railway Systems ◽  
Management Platform ◽  
Railway Signal ◽  
Optical Fiber Sensing

The current railway track circuit monitoring system is prone to disturbances that can result in accidents. Meanwhile, basic signaling equipment is slow and cannot achieve satisfactory real-time data acquisition speed. This study aims to solve the aforementioned problems by designing an online monitoring and management platform for railway signal infrastructure, which is based on the graphical programming language LabVIEW. Online monitoring and management of railways’ basic signaling equipment allow real-time collection and communication of various signal equipment data. These processes also enable signal processing, chart display, acousto-optic alarm, user authority management, data storage, data query analysis, and report printing. The test results show that the LabVIEW-based basic signaling equipment for monitoring and managing railway systems can transmit data correctly and steadily, thereby resulting in convenient and ideal operation.

Development of PCG Monitor Based on Virtual Instrument Technology

2014 ◽  
Vol 508 ◽  
pp. 192-195
Author(s):  
Zhi Dong Wang ◽  
Yu Guo ◽  
Heng Ye ◽  
Bing Yang
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Virtual Instrument ◽  
Remote Monitoring ◽  
Serial Communication ◽  
Internet Technology ◽  
Signal Extraction ◽  
The Internet ◽  
Characteristic Signal ◽  
Instrument Technology

By utilized VISA functions provided by LabVIEW, we can easily and successfully realize the serial communication between cardiechema senor and monitoring system, as well as collected data written into and read from Access through database functions. The perfect combination between the internet technology and the virtual instrument has provided a promising platform for the realization of the virtual instrument networking. This paper mainly introduces the construction of phonocardiogram monitoring system which has some functions such as real-time monitoring, data storage, signal preprocessing, playback, characteristic signal extraction, remote monitoring and so on.

Discussion on Power Grid Magnetic Storm Disaster Monitoring System Based on Cloud Computing

2011 ◽  
Vol 341-342 ◽  
pp. 641-645
Author(s):  
Di Liu ◽  
Ying Wang ◽  
Lian Guang Liu
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Power Grid ◽  
Observation Data ◽  
Security Problem ◽  
Disaster Monitoring ◽  
System Data ◽  
Current Monitoring ◽  
Communication Methods

The power grid storm disaster monitoring system involves power system data，geomagnetic data, satellite data and other earth space observation data. To solve such problems as the system's large quantity of data, storage and processing difficulties, using cloud computing in the system is putting forward. The basic concepts and the services of cloud computing are introduced first. From the aspects of the front-end data collection and communication methods to the background software data processing, the GIC (geomagnetically-induced current) monitoring system is showed. Then the issues of the continuous expansion of the system are analyzed in detail. The architecture of the power grid storm disaster monitoring system based on cloud computing is given. Security problem of implementation of the system using cloud computing technology are finally discussed.

Cloud Computing Application in Building Monitoring System

2013 ◽  
Vol 303-306 ◽  
pp. 2103-2106
Author(s):  
Cong Cheng
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Monitoring System ◽  
Data Storage ◽  
Signal Transmission ◽  
Overall Design ◽  
Computing Services ◽  
Huge Data ◽  
Building Monitoring ◽  
Design Idea

Popularization of the building monitoring system requires huge data storage, information management and computing services. However, the analog signal transmission cannot meet the requirements anymore, therefore cloud computing has to play its role. For this purpose, this article brings up an overall design idea and physical deployment of a cloud-based building monitoring system.

scholarly journals Rancang Bangun Sistem Pemantauan Kinerja Panel Surya Tipe Mono-Crystalline Silicon Berbasis IoT

Electrician ◽  
2019 ◽  
Vol 13 (3) ◽  
pp. 81-83
Author(s):  
Mahardika Yoga Darmawan ◽  
Mohamad Samsul Anrokhi ◽  
Ali Komarudin
Keyword(s):  
Standard Deviation ◽  
Time Delay ◽  
Monitoring System ◽  
Data Storage ◽  
Crystalline Silicon ◽  
Sensor Data ◽  
Current Sensor ◽  
Solar Panels ◽  
Voltage Sensors ◽  
Current Voltage

Abstrak — Panel surya dapat diketahui kinerjanya dengan cara mengukur parameter arus dan tegangan namun untuk mendapatkan informasi yang akurat dan berkelanjutan maka perlu adanya sistem pemantuan terhadap panel surya tersebut. Sistem pemantauan pada penelitian ini dibuat dengan berbasis ATMEGA328P, ESP 8266, sensor arus dan tegangan. Dapat disimpulkan bahwa untuk sistem pemantuan kinerja panel surya dalam pengujian memiliki galat sebesar 0.2% untuk sensor tegangan, 0.17 % untuk sensor arus. Untuk data dari sistem pemantuan menunjukkan nilai rata-rata tegangan dan arus sebesar 20.75 volt dan 2.81 ampere dengan standar deviasi 0.32 volt dan 0.14 ampere serta 15 detik untuk jeda pengiriman data ke platform penyimpan data. Kata kunci —Panel Surya, Arus, Tegangan, Pemantauan.     Abstract — Solar panels can be accessed by measuring the current and voltage parameters to obtain accurate and necessary information, so a system of monitoring for the solar panels is needed. The improvement system in this study was made based on ATMEGA328P, ESP 8266, current and voltage sensors. It can be concluded that the solar panel monitoring system in the test has an error of 0.2% for voltage sensor, 0.17 % for current sensor. Data from the monitoring system, the average voltage and current values ​​are 20.75 volts and 2.81 amperes with a standard deviation of 0.32 volts and 0.14 ampere then it takes 15 seconds for time delay in sending data to a data storage platform. Keywords— Solar Panels, Current, Voltage, Monitoring .

scholarly journals Overview of integrated health monitoring system installed on cable-stayed bridge and preliminary analysis of results

2021 ◽  
Vol 73 (06) ◽  
pp. 591-604
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Health Monitoring ◽  
Yangtze River ◽  
Structural Damage ◽  
Monitoring Data ◽  
Extreme Condition ◽  
Health Monitoring System ◽  
Cable Stayed Bridge ◽  
Integrated Health

The Junshan Yangtze River Bridge, built in Wuhan, China in 2001, is a steel box girder cable-stayed bridge with a main span of 460m. Due to decades of service, the bridge suffered gradual degradation and some damage. Structural health monitoring has attracted worldwide attention due to its capacity of monitoring structural damage, assisting maintenance and management, and ensuring safe operation of bridges. To monitor the performance status of bridges and generate a timely safety alarm, an integrated health monitoring system has been designed and implemented on bridges. This paper provides a thorough account of the monitoring system used at the Junshan Yangtze River Bridge. It mainly focuses on the selection of monitoring variables and arrangement of sensor points, the data collection and transmission system, the data storage and management strategy, and the user interface system. All kinds of monitoring data collected under daily operation, such as vehicle load, deflection, displacement, and cable tension, are analysed. Monitoring data for an extreme condition, which involves two heavy trucks of 178 tons moving across the bridge, are also analysed. The results indicate that the monitoring system works well and that some local welded joints may experience fatigue damage.

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