scholarly journals Multichannel Recorder for Low Frequency Signals: Application of Oscilloscope as Integrated Mobile Service for a Smartphone

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Michal Kochlan ◽  
Samuel Zak ◽  
Michal Hodon ◽  
Juraj Micek ◽  
Ondrej Karpis

Data acquisition and processing are well known for some time. Many applications use powerful hardware to acquire, process, and visualize signal waveforms. But there are some applications that do not have to perform high resolution signal acquisition and process large amount of data, for example, low frequency applications of embedded design and applications for remote power grid monitoring. The paper describes special system for low frequency signal data sample acquisition, processing, and visualization implemented as a service on Android-based smart device. The service makes smart device functioning as an oscilloscope or arbitrary waveform generator which is accessible remotely through Bluetooth. The design respects low power consumption requirements, simplicity, and user friendliness in application design. Application scenario was implemented as wireless data acquisition system for power grid monitoring.

2014 ◽  
Vol 511-512 ◽  
pp. 274-277
Author(s):  
Chun Fu Li ◽  
Yan Qin Li ◽  
Hui Zhi Han

The speed is the most common frequency signal among a lot of the automotive signal which may be collected, Acquisition for frequency signal generally use the counter input capture. The number of sampling rate not only depends on clock frequency counter, but mainly the number of the frequency of the signal itself, it is bound to take a very long time to collect speed signal when the speed is very low. For most of the data acquisition card, which usually adopt asynchronous acquisition between various channels, that is, only one channel can collect data at any time, so for the multi-signal acquisition system which has a high requirement for real-time, it is undue to collect directly low frequency signal. This paper adopt method of frequency-voltage converter to change the frequency signal to analog signal and collect data, thus, which can greatly improve the system's sampling rate.


2016 ◽  
Vol 12 (1) ◽  
pp. 17 ◽  
Author(s):  
Kai Zheng ◽  
Yun Zhang ◽  
Lei Liu ◽  
Chen Zhao

Low-speed machines play an important role in industrial production, and the condition monitoring of these machines is of great importance. Monitoring with wireless sensor network (WSN) has many advantages. To monitor the condition of low-speed machines, we need to acquire low-frequency, weak and hardly-varying physical signals. As such, we designed a WSN system for high-precision signal acquisition. Actual measurement results showed that the acquisition precision of nodes could reach 0.01 mV. When the sensor nodes continuously acquired and sent data, the energy conversion efficiency was higher than 90% and the nodes’ power consumption came to about 110mW. The WSN system was designed based on the low-power consumption 802.15.4 MAC/Zigbee, and the WSN was built through MESH topology. Data transmission was stable and the PER was lower than 1%. The measurement results under laboratory and industrial field conditions showed that the WSN system designed met the requirements for on-site data acquisition and monitoring of low-speed machines.


2014 ◽  
pp. 18-21
Author(s):  
José Chilo ◽  
Thomas Lindblad

Advancements in electronics provide a vital new option for implementation of low-frequency smart sensors that can perform signal processing close to the sensors and transmit the data wirelessly. These smart sensors can improve the efficiency of an automatic classification system and reduce the cost of actual infrasound microphones. The design of a digital wireless data acquisition system using a QF4512 programmable signal converter from Quickfilter Technologies, a MSP430 microcontroller from Texas Instruments and a F2M03GLA Bluetooth module from Free2move for infrasonic records is presented in this paper. The digital wireless data acquisition system has passed extensive laboratory and field tests (e.g. with man-made explosions).


2020 ◽  
Vol E103.C (8) ◽  
pp. 345-352
Author(s):  
Zhongyuan ZHOU ◽  
Mingjie SHENG ◽  
Peng LI ◽  
Peng HU ◽  
Qi ZHOU

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