Wireless, battery-operated data acquisition system for mobile spectrometry applications and (potentially) for the Internet of things

2017 ◽  
Author(s):  
Ryan Fitzgerald ◽  
Vassili Karanassios
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
The Internet ◽  
The Internet Of Things

scholarly journals The combination of the IoT wireless data acquisition system and edge computation

2021 ◽  
Vol 336 ◽  
pp. 05027
Author(s):  
Ming Yin ◽  
Liwei Wang
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
The Internet ◽  
Distributed Data ◽  
Wireless Data ◽  
Distributed Data Processing ◽  
Wireless Data Acquisition ◽  
Spare Time ◽  
The Internet Of Things

This paper presents an improvement that cominate the algorithm of edge computation and the Internet of things (IoT) data acuisiton system. Firstly, the environment data acquisition system of the agriculture IoT was analyzed and the distributed data processing approach was proposed to handle the abnormal data. we perform the simply processing of the raw acquisition data via the CC2530 by its spare time computation competence. The results prove our algorithm improve the data acquisition efficiency.

scholarly journals Development of a distributed hybrid seismic–electrical data acquisition system based on the Narrowband Internet of Things (NB-IoT) technology

2019 ◽  
Vol 8 (2) ◽  
pp. 177-186 ◽  
Author(s):  
Wenhao Li ◽  
Qisheng Zhang ◽  
Qimao Zhang ◽  
Feng Guo ◽  
Shuaiqing Qiao ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
High Precision ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Geophysical Prospecting ◽  
Long Distance ◽  
Data Acquisition Board ◽  
Acquisition Processes ◽  
Electrical Data

Abstract. The ambiguity of geophysical inversions, which is based on a single geophysical method, is a long-standing problem in geophysical exploration. Therefore, multi-method geophysical prospecting has become a popular topic. In multi-method geophysical prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method geophysical prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in geophysical instrumentation.

Researches and Designs of Middleware Data Acquisition Function of Internet of Things

2012 ◽  
Vol 263-266 ◽  
pp. 2834-2837
Author(s):  
Lei Sang ◽  
Duo Long
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Radio Frequency Identification ◽  
The Internet ◽  
Middleware Technology ◽  
Frequency Identification ◽  
Key Issues ◽  
Electronic Tag ◽  
Research And Design ◽  
The Internet Of Things

The Internet of things covers many aspects such as the electronic tag reader research, the Internet of things software research and the e-commerce research, etc. The SAVANT middleware is one of the key issues of the study. Based on electronic product code, radio frequency identification technology and system description middleware technology, this paper focuses on research and design of the Internet of things middleware system to solve the problem of data acquisition.

scholarly journals Power Equipment Fault Information Acquisition System Based on Internet of Things

2020 ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Low Voltage ◽  
Collection Efficiency ◽  
Acquisition System ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Fault Information ◽  
The Internet Of Things

Abstract With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.

Internet of Things Data Acquisition System Applied to Photovoltaic Water Pumping

2018 ◽  
Vol 16 (10) ◽  
pp. 2547-2560
Author(s):  
I. Dupont ◽  
R. Pereira ◽  
S. Juca ◽  
P. Carvalho
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Water Pumping
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