Real-Time Monitoring and Control of Consumed Power for Household Appliances using Arduino Uno through Bluetooth and Android Application

Banerjee, Soumyendu; Laskar, Sabuj; Chowdhury, Abhirup; Sarkar, Sayantani; Roy, Abhrajit; Das, Abir

doi:10.1109/icoei.2019.8862528

Cited by 9 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To fully support the claim that the proposed IoT-Enabled measurement system is more feasible and acceptable than other existing ones, a functional comparison with each other has been made among different IoT-Enabled systems including ours, S. Reig, et al [4], A. Jaradat, et al [7], and S. Banerjee, et al [23]. The results of functional comparison are all listed in TABLE IV.…”

Section: E Functional Comparisonmentioning

confidence: 96%

See 1 more Smart Citation

A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances Using Petri Nets

Yang¹,

Lin²,

Shen³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p>Correct use of home appliances is intended to avoid property damage and life unsafety. Also, serious fire accidents must affect the safety of one’s neighborhood. Therefore, this study uses the Internet of Things (IoT) platform to build an intelligent system that aims to measure the temperature rise of home appliances, which is employed to monitor the usage states of home appliances in real time. Hereby, the microcontroller, Node Micro Control Unit (NodeMCU-32S), is used to develop an IoT platform combined with sensors for measuring AC voltage, current, and ambient temperature so that the electrical power and temperature rise of load can be detected. Meanwhile, the smart measurement system is integrated with mobile devices to upload the detected datasets to the Google cloud database system. Thus, it can be used as samples for future calibration of system parameters with machine learning. Moreover, the verification of feasibility and soundness of a system model is performed by using Petri net tool, WoPeD, for the purpose of eliminating the improper states to optimize the system performance. Finally, the experimental results show that the proposed IoT-Enabled system has promising precision, 94.17％, and recall, 92.26％, which obviously outperforms other existing systems.</p>

show abstract

Section: E Functional Comparisonmentioning

confidence: 96%

“…The optimal power consumption is displayed on an Android mobile phone through HC-05 Bluetooth module. But its entire function is still unstable [23].…”

Section: Related Workmentioning

confidence: 99%

A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances Using Petri Nets

Yang¹,

Lin²,

Shen³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The ACS712 sensor has a large linearity and is quite sensitive, with a sensitivity of around 185 mV/A, but it cannot detect small currents, such as milliamperes. The clamp meter accuracy ranges from 1% -2% of the measuring range [1][2][3][4][5][6]. A research on electrical measuring instruments, using the ACS712 30 Ampere sensor to read and calibrate DC and AC values using the Hall effect principle.…”

Section: Introductionmentioning

confidence: 99%

Improving Reading Accuracy of ACS712 Current Sensor with ATmega328 10-Bit ADC: Enhancing Resolution to 5Ma/BIT via AD620 Differential Amplifier and Kalman Filters

Pardede,

Brahmana

2023

J. Technomaterial Phys.

View full text Add to dashboard Cite

The study focuses on the development of a current measuring device that incorporates the ACS712 current sensor, enhances the reading sensitivity of the ACS712 current sensor from 27mA/bit to 5mA/bit through the implementation of an AD620 differential amplifier, and employs a Kalman filter for improved accuracy. This increase in current uses a differential amplifier AD620. An increase in the sensitivity of the reading is carried out by utilizing the initial value of the ACS712 sensor when it has not been connected to the circuit or an offset of 512 to 0 so that 10bit ADC data can be utilized to measure 4880 mV/A so that the accuracy of reading 1-bit data is equal to 4, 8 mV/mA after being given a gain of 26.5 times. The signal enhanced from the AD620 will be filtered using the Kalman filter program so that the signal generated after the increase will be stable, and the current value that has been read will be displayed on the LCD screen. Based on the analysis results, the ACS712 current sensor can effectively measure up to 5mA/bit stably using the AD620 differential amplifier and Kalman filter.

show abstract

Low Cost Voltage and Current Measurement Technique using ATmega328p

Faisal

Karim

Hasan

et al. 2020

2020 Fourth International Conference on I-Smac (IoT in Social, Mobile, Analytics and Cloud) (I-Smac)

View full text Add to dashboard Cite

Real-Time Monitoring and Control of Consumed Power for Household Appliances using Arduino Uno through Bluetooth and Android Application

Cited by 9 publications

References 10 publications

A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances Using Petri Nets

A Novel IoT-Enabled System for Real-Time Monitoring Home Appliances Using Petri Nets

Improving Reading Accuracy of ACS712 Current Sensor with ATmega328 10-Bit ADC: Enhancing Resolution to 5Ma/BIT via AD620 Differential Amplifier and Kalman Filters

Low Cost Voltage and Current Measurement Technique using ATmega328p

Contact Info

Product

Resources

About