Design and Implementation of Remotely- Monitored Single Phase Smart Energy Meter via Short Message Service (SMS)

Shomuyiwa, D. A.; Ilevbare, J. O.

doi:10.5120/12912-9835

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Also, Shomuyiwa and Ilevbare in the design and implementation of their meter stated that they generated 16-digit energy token for the meter using a software application program. According to them, this software was developed using Delphi and C language [8]. They however did not show how this was achieved.…”

Section: Literature Reviewmentioning

confidence: 99%

Application Platform and Token Generation Software for Prepayment Meter Administration in Electricity Distribution Companies

Amhenrior¹,

Emagbetere²

2018

MLR

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In this paper, an Application Platform (AP) and Token Generation Software for prepayment meter administration was developed. This is a response to the need to develop a vending software and platform that can recharge a generated token seamlessly into the meter apart from the traditional keying-in of token into meter through keypad. Also, it is motivated by the need to reduce the cost of token generation infrastructure by having a software for token generation achieved with local material. It is a platform that has wireless capability to recharge meter after vending as well as other meter administration by the Electricity Distribution Companies. The system is made up of two main modules; the server and the PC. The server's hardware is made up of Atmega 328 microcontroller which is programmed in C++. It controls the intermediate communication of the outcome of the activities of the AP such as the generated token and the energy meter. The communication component between the Electricity Distribution Company is achieved by the uses of SIM900 which has a valid Subscriber Identity Module (SIM) that enables this communication in the existing Global System for Mobile Communication (GSM) network. The PC contains the developed Application Platform using Visual Studio 2010, and has the Graphical User Interface (GUI), the Token Generation Software and the Database which is developed in Microsoft Access 2013. The AP is comprised of the Token Generation, the Registration and the Records sub-platforms. The Software for the token generation is the Data Encryption Standard (DES) compiled in a LabView environment with extra level of complexity and security built on both the input and output of the DES. Three main input of the Application Platform are the Meter Number, the Cost and the Mobile phone Number. In generating token, the first two inputs are taken into the DES system at different levels of number system and the other inputs are sourced from the AP based on the information captured for the meter. The Server is interfaced with the PC on its USB port where it also sources its power. The results obtained show 100% of 20-digit token generation through the Application Platform and seamless recharge of vended token into the meter from the Platform.

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Section: Literature Reviewmentioning

confidence: 99%

Application Platform and Token Generation Software for Prepayment Meter Administration in Electricity Distribution Companies

Amhenrior¹,

Emagbetere²

2018

MLR

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“…Payments are made using tokens and power is cut off after the consumption of units paid for but restored automatically after another token is paid. Postpaid metering involves payment of energy consumed after usage as noted by Shomuiywa et al [5].…”

Section: Introductionmentioning

confidence: 99%

Performance of an Anisotropic Magneto-Resistive Sensor Electrical Energy Meter

Kagucia

George

Manene

2022

JERR

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This paper presents a digital electrical energy meter based on an Anisotropic Magneto-Resistive (AMR) current sensor and an Arduino micro microcontroller. This study aimed at designing and fabricating a digital electrical energy meter using the AMR sensor which overcomes some of the shortcomings of traditional current sensors used in most energy meters, display electrical energy, consumer‟s terminal voltage, supply current, power factor and „real-time‟ power consumption. The study was carried out in the Department of Electrical and Control Engineering, Egerton University between September 2018 and December 2020. The meter was designed using Proteus 8 Professional software and fabricated on a printed circuit board. Algorithms were developed in C-language and stored in the microcontroller to continuously sample voltage and current signals derived from a successive supply voltage divider and the AMR current sensor, respectively. The sampling frequency was 2 kHz and every 10,000 samples were carried out to compute the Root Mean Square (RMS) values of voltage and current. The fabricated meter digitally computed the cumulative electrical energy in kilo-Watt-hours (kWhrs) and the other variables and displayed them on a 16×2 Liquid Crystal Display (LCD) after a consumption of every 0.01 kWhrs. Statistical results on the displayed variables indicated that the meters tested were not significantly different at 0.95 confidence level implying that those meters had similar performance. The extra displays are important and useful to power consumers and service providers in energy utilization and improvement of the quality of the power supplied. Power factor is an exceptional feature in the prototype meter beneficial to both consumers and power agencies in the decision-making process of reducing bills and power distribution costs leading to improved efficiency and service delivery.

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