scholarly journals Monitoring System of Environment Noise and Pattern Recognition

2021 ◽  
Vol 15 ◽  
pp. 10-17
Author(s):  
Luis Pastor Sánchez Fernández ◽  
Luis A. Sánchez Pérez ◽  
José J. Carbajal Hernández

This paper presents an overview of the wireless monitoring system of environment noise, placed throughout Historical Centre of México City which represents an attractive technological innovation. It takes permanent measurements of noise levels and stream the data back to the main monitoring station every five minutes and the measurements of noise produced during the take-off in a location of the International Airport. The data acquisition is made at 25 KHz at 24 bits resolution. This work allows analyzing the urban noise level and its frequency range. Additionally, a computational model for aircraft recognition using take-off noise spectral features is analyzed based on other previous results. Eight aircraft categories with all signals acquired in real environments are used. The model has an identification level between 65 and 70% of success. These spectral features are used to allow comparison with other aircraft recognition methods using speech processing techniques in real environments. This system type helps to foresee potential effects to health of environment noise.

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%.


2009 ◽  
Vol 16 (3) ◽  
Author(s):  
Ryszard Katulski ◽  
Jarosław Sadowski ◽  
Jacek Stefański ◽  
Sławomir Ambroziak ◽  
Bożena Miszewska

Geophysics ◽  
2010 ◽  
Vol 75 (6) ◽  
pp. F187-F197 ◽  
Author(s):  
Ben K. Sternberg

The variability of naturally occurring magnetic fields in the frequency range from [Formula: see text] over a period of one year was studied. Contour plots for the [Formula: see text], [Formula: see text], and [Formula: see text] components and for frequencies of 10, 100, 1000, 2000, and 8000 Hz were produced. Average, minimum, maximum, and the standard deviations of these fields were also calculated for 12 distinctive time intervals. In the 1– to 8–kHz frequency range, the noise levels are typically higher at night. In the 10- to 100-Hz frequency range, the noise levels are typically higher during the day. During mid- to late-summer, there is frequent thunderstorm activity, known in the southwest United States as the monsoon season. The magnetic field levels are often very high during this time period. These variability ranges can be used to estimate the lowest levels of noise that may be encountered during field surveys, which iswhat the authors are looking for when running controlled-source electrical method surveys. These variability ranges can also be used to estimate the highest levels that may be encountered, which is what the authors are looking for when running natural-source electrical methods surveys, such as audio frequency magnetotelluric (AMT) surveys. These measurements of magnetic field strength variability show that better data for controlled-source electrical measurements can be obtained using the minimum noise level measurements, as opposed to using signal integration or signal averaging with all of the data. The minimum noise level is found by using frequency bins adjacent to the signal-frequency bin. Likewise, if one is interested in measuring the naturally occurring magnetic field data, using the maximum values during each time interval makes AMT measurements possible when the natural signal level is very low, particularly in the AMT dead zone around [Formula: see text].


Author(s):  
Lun Cuifen ◽  
Ma Jiwei ◽  
Fan Hua ◽  
Liu Ce ◽  
Sun Lei ◽  
...  

2017 ◽  
Vol 13 (05) ◽  
pp. 29
Author(s):  
XueWen Yu

Wireless multi-point real-time environmental monitoring system based on LabVIEW is composed of three parts: wireless environment information collection node, communication gateway, and host computer monitoring system. The purpose of this study is to explore the application of wireless monitoring technology in industry. Since that it is at the stage of research feasibility, various sensors used for the applications select the level limited to the ordinary teaching using sensor. AGV uses vehicle manipulator developed by Wuhan Depushi Technology Company and some sensors are simulated. The results of simple basic experiments showed that the wireless module can achieve point to multipoint communication. It is concluded that the monitoring interface can simultaneously process the data of a simulated pipeline terminal node with a simulated AGV data and make them work in a closed loop state.


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