Performance analysis of an activity monitoring system using the SPINE framework

Author(s):  
Roberta Giannantonio ◽  
Raffaele Gravina ◽  
Philip Kuryloski ◽  
Ville-Pekka Seppa ◽  
Fabio Bellifemine ◽  
...  
Author(s):  
Demetrio Fabian Garcia Nocetti ◽  
Pliar Duran Hernandez ◽  
Martin Fuentes Cruz ◽  
Martin Fuentes Cano ◽  
Adalberto Joel Duran Ortega

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
M. Torres ◽  
F. J. Muñoz ◽  
J. V. Muñoz ◽  
C. Rus

The Guidelines for the Assessment of Photovoltaic Plants provided by the Joint Research Centre (JRC) and the International Standard IEC 61724 recommend procedures for the analysis of monitored data to asses the overall performance of photovoltaic (PV) systems. However, the latter do not provide a well adapted method for the analysis of stand-alone photovoltaic systems (SAPV) with charge regulators without maximum power point tracker (MPPT). In this way, the IDEA Research Group has developed a new method that improves the analysis performance of these kinds of systems. Moreover, it has been validated an expression that compromises simplicity and accuracy when estimating the array potential in this kind of systems. SAPV system monitoring and performance analysis from monitored data are of great interest to engineers both for detecting a system malfunction and for optimizing the design of future SAPV system. In this way, this paper introduces an online monitoring system in real time for SAPV applications where the monitored data are processed in order to provide an analysis of system performance. The latter, together with the monitored data, are displayed on a graphical user interface using a virtual instrument (VI) developed in LABVIEW®. Furthermore, the collected and monitored data can be shown in a website where an external user can see the daily evolution of all monitored and derived parameters. At present, three different SAPV systems, installed in the Polytechnic School of University of Jaén, are being monitorized and the collected data are being published online in real time. Moreover, a performance analysis of these stand-alone photovoltaic systems considering both IEC 61724 and the IDEA Method is also offered. These three systems use the charge regulators more widespread in the market. Systems #1 and #2 use pulse width modulation (PWM) charge regulators, (a series and a shunt regulator, respectively), meanwhile System #3 has a charge regulator with MPPT. This website provides a tool that can be used not only for educational purposes in order to illustrate the operation of this kind of systems but it can also show the scientific and engineering community the main features of the system performance analysis methods mentioned above. Furthermore, it allows an external user to download the monitored and analysis data to make its own offline analysis. These files comply with the format proposed in the standard IEC 61724. The SAPV system monitoring website is now available for public viewing on the University of Jaén. (http://voltio.ujaen.es/sfa/index.html).


2014 ◽  
Vol 63 (9) ◽  
pp. 1286-1293
Author(s):  
Min-Gyu Lim ◽  
Young-Jae Lee ◽  
Kang-Hwi Lee ◽  
Seung-Jin Kang ◽  
Kyeung-Nam Kim ◽  
...  

2018 ◽  
Vol 3 (66) ◽  
Author(s):  
Stasys Korsakas ◽  
Alfonsas Vainoras ◽  
Liudas Gargasas ◽  
Vytenis Miškinis ◽  
Rimtautas Ruseckas ◽  
...  

The aim of this paper is to present a new ECG and motion activity monitoring and on-line analysis system for athle-tes. The developed system is intended to facilitate the coach in optimizing and individualizing the training of elite athletes.The hardware system consists of the device for registration of ECG and accelerometer signals and wireless trans-mission to computer. The coach software works in two modes: on-line version is used during training and off-line version is designed for detailed data analysis after training. The new method for respiration frequency evaluation was developed and checked on 28 persons, and in most cases the developed algorithm correctly evaluated the respiration frequency of the investigated persons. The evaluation of athlete’s functional state from calculated and measured pa-rameters and formation of warning signals (green — normal state, yellow — limitary state and red — premonitory state) is based on the analysis applying Moore and Mealy automata algorithms. The software for the evaluation of the patient’s activity was tested on 11 healthy students: the increase in physical activity level during the brisk walk was 1.4 times higher compared to the level during the slow walk, and during the jogging sessions it was 1.89 times higher than during the slow walk.The results obtained during the investigations show that the developed ECG and motion activity monitoring system with two packages of software allows to measure cardio respiratory changes and changes in intensities of physical activity under daily conditions. The comprehensive off-line analysis by monitoring data provides the possibility for coaches to make more detailed analysis of cardio respiratory changes and changes in intensities during training.Keywords: monitoring system for athletes, electrocardiogram, accelerometry, respiration frequency.


2006 ◽  
Vol 87 (3) ◽  
pp. 628-634 ◽  
Author(s):  
Ryan L. Rehmeier ◽  
Glennis A. Kaufman ◽  
Donald W. Kaufman

2011 ◽  
Vol 17 (1) ◽  
pp. 197-209 ◽  
Author(s):  
Raluca Marin-Perianu ◽  
Mihai Marin-Perianu ◽  
Paul Havinga ◽  
Simon Taylor ◽  
Rezaul Begg ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document