Development of Low-Cost DAQ for Power System Signals Using Arduino

Wali, Syed; Areeb, Muhammad

doi:10.1109/inmic.2018.8595519

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…Syed Wali et al (2018) [2] shows the usage of a low cost data acquisition efficient device that can help lay hold of the analog or the digital data. Arduino as the microcontroller takes the input from the sensors and combined with Raspberry Pi enables the computation of various parameters efficiently.…”

Section: Related Workmentioning

confidence: 99%

“…Souvik Banerjee et al (2018) [3] solves the problems of medical practitioners by introducing a system that acquires the data in the form of beats from the smart sensing devices and outputs the results that helps in the continuous monitoring of the patients through the use of IoT devices and various machine learning algorithms that helps in analyzing the already processed data and interpolate the results of the similar future inputs. The data acquired from the smart medical sensing devices helps in finding the correlation of the symptoms and reduces the expenditure in terms of the infrastructure required by any medical professional.…”

Section: Related Workmentioning

confidence: 99%

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Implementation of Smart Agriculture System using IoT on ThingSpeak cloud and MATLAB

Sharma,

Soni,

Aggarwal

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Today the use of advanced technology such as IoT devices in the field of agriculture is inevitable. There were no conventional methods to accurately predict the temperature changes or to detect the presence of an intruder in the field or to detect if a fire had broken out in the field. But with the advancement of various sensors in IoT, it has become very easy to acquire the data, analyze the data, or even take some immediate action like sending the notification to the user about any particular event. In this paper, a novel approach has been implemented to acquire and analyze the temperature data. An experimental model showing the interfacing of three sensors TMP36, PIR, and Gas sensor with Arduino has been presented. The transfer of data to the ThingSpeak cloud has also been done with the help of ESP8266 and further the analysis of data is done using MATLAB. This hardware interfacing ensures a small and cost effective design that is easily portable.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Implementation of Smart Agriculture System using IoT on ThingSpeak cloud and MATLAB

Sharma,

Soni,

Aggarwal

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The DAQ uses the Hypertext Transfer Protocol (HTTP) to transfer the information to the webserver. A Real-Time Clock (RTC) allows the synchronization of data that is stored locally in a removable Solid-State Drive (SSD), and the stored data will be used to obtain the transfer function of the plant using parametric data identification [17], [18].…”

Section: Data Acquisition Systemmentioning

confidence: 99%

“…The subsystem is an independent device from the main data acquisition system (master) as in figure 3, the exchange of information between these two electronic systems is carried out by request of the master using the EIA / TIA RS232 communication standard [18], [20]. The pH sensor measures the degree of acidity value of the solution to be processed in a range from 0 to 14.…”

Section: Ph and Level Data Acquisition Subsystemmentioning

confidence: 99%

Remote monitoring of operational parameters for the cane honey production process

Mejía

Rubio²,

Cortés

et al. 2021

Lámpsakos

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A local data acquisition, processing and storage system were implemented by means of an open source micro-controlled development card. To continuously measure the variables of the cane honey production process, it was performed using five temperature sensors, pH sensor and a level sensor. Each sensor was associated with a component set with its respective upper and lower reference values, during the processing of a batch of product. The main objective was to determine the effectiveness of using sensors and wireless communication technology to monitor operational parameters, in real time. In general, the recorded temperature, pH and level data obtained from sensors corresponded closely to the changes that occurred in the process, and the wireless communication nodes developed successfully measured and monitored the temperature, pH and level readings in real time. The study also found that the temperature, pH and level readings obtained by the sensors began to standardize more closely within the upper and lower limits. Furthermore, operational parameters could be reasonably predicted by applying a statistical model to measure temperature, pH and level. The present study also found that the operational parameters analyzed showed variability with its consequent effect on the quality of the final product. The findings of this study should serve as the first step towards any future research and development that may take place in the field of agro-industrial process design

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“…Most of these applications do not need high frequency of acquisition or do not apply to very demanding dynamic situations. For example, in [4], a low-cost system was developed based on an Arduino Mega platform that deployed a variable gain amplifier circuit increasing the efficiency, resolution, and measuring range of the system. In this case, the system was also connected to a Raspberry Pi with the calculation of basic electrical parameters in real time.…”

Section: Introductionmentioning

confidence: 99%

The Acquisition Rate and Soundness of a Low-Cost Data Acquisition System (LC-DAQ) for High Frequency Applications

Moreno

González

Olazagoitia

et al. 2020

Sensors

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This article presents a novel and reliable low-cost data acquisition solution for high frequency and real-time applications in vehicular dynamics. Data acquisition systems for highly dynamic systems based on low-cost platforms face different challenges such as a constrained data retrieval rate. Basic data reading functions in these platforms are inefficient and, when used, they limit electronics acquisition rate capabilities. This paper explains a new low-cost, modular and open platform to read different types of sensors at high speed rates. Conventional reading functions are avoided to speed up acquisition rate, but this negatively affects data reliability of the system. To solve this and exploit higher data managing rates, a number of custom secure layers are implemented to secure a reliable acquisition. This paper describes the new low-cost electronics developed for high rate acquisition applications and inspects its performance and robustness against the introduction of an increasing number of sensors connected to the board. In most cases, acquisition rates of the system are duplicated using this new solution.

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Development of Low-Cost DAQ for Power System Signals Using Arduino

Cited by 7 publications

References 7 publications

Implementation of Smart Agriculture System using IoT on ThingSpeak cloud and MATLAB

Implementation of Smart Agriculture System using IoT on ThingSpeak cloud and MATLAB

Remote monitoring of operational parameters for the cane honey production process

The Acquisition Rate and Soundness of a Low-Cost Data Acquisition System (LC-DAQ) for High Frequency Applications

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