An IoT based real time energy monitoring system for controlling and monitoring of a switchgear industry is discussed in the present work. Raspberry Pi has been selected for this purpose due to low cost and a highly reliable technology for monitoring the energy consumption of the industry. The Raspberry Pi is used with Node.js programming language to collect the data (various electrical parameters) from the existing energy meters of the industry and to store it locally, for accessing it through Laptop or mobile phone using Grafana. The monitoring system is found be useful to the industry to understand the day-to-day energy pattern, which is essential to facilitate energy conservation measures for minimizing energy consumption.

IoT based real time energy monitoring system using Raspberry Pi

For reliability and real-time data transfer requirements of Automatic Meter Reading System(AMRS), we design a remote wireless automatic meter reading system based on GPRS to achieve data transmission between meter reading terminal and the main station. System is easy to install, reliable and rapid for data transmission. when the bill payment is delayed meter connection is automatically disconnected.

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Remote Wireless Automatic Meter Reading System Based on GPRS

Building operations are responsible for a large amount of energy consumption therefore the development of energy-saving solutions for buildings represents a relevant challenge with a major impact on our global community. This paper presents the design and implementation of an IoT (Internet of Things) prototype for monitoring energy consumption which was developed by a group of undergraduate students to reinforce their disciplinary and cross-disciplinary competencies by applying the challenge-based learning model. This educative approach allows the students to provide a solution for a relevant problem by using modern technology and applying adequate methodologies. The developed prototype has been installed in the mechatronic laboratory building and has been evaluated by the users for six months. Obtained results show that the prototype has provided benefits by identifying energy management issues in the laboratory also from the academic perspective students that participated in the challenge had superior performance in comparison with the students that previously used the traditional learning model.

Implementing an IoT Energy Monitoring System Using the Challenge-based Learning Model

This work presented the design, development, and implementation of a low-cost IoT system for real-time monitoring of electrical consumption and environment parameters inside social housing. The IoT monitoring system is composed of a set of remote measurement nodes that wirelessly sense and transmit records of the air temperature and relative humidity inside the house as well as the voltage, current, and power consumed by several electrical devices. A server coordinator composed of a Raspberry Pi was used for the interaction with the sensors through the Message Queue Telemetry Transport (MQTT) protocol and allowed the measured data packaging, fragmentation, transfer, storage, and cloud upload for remote multiuser visualization. The system was experimentally evaluated in an inhabited single-story house under tropical climate conditions. Operation tests indicate a successful performance of the protocols implemented for remote visualization and cloud storage. Moreover, an analysis of measured data allows the feasibility of identifying the occupants’ energy consumption patterns and their relationship with the search for comfortable environmental conditions. Thus, the proposed friendly framework is a promising alternative to energy management. Its implementation in embedded Linux-based systems provides the flexibility to integrate control strategies based on artificial intelligence.

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IoT System for the Continuous Electrical and Environmental Monitoring into Mexican Social Housing Evaluated under Tropical Climate Conditions

The research aims to design and implement a prototype for an automated system that reads electrical energy meters for the consumers and collects these readings in a central unit via the World Wide Web (the Internet). This is done by adding a camera that automatically captures the meter reading of the electric meter as an alternative to the mobile meter reader. This meter reading image is processed and the value of the meter reading is extracted by using a Raspberry Pi device and the Python language depending on OCR (Optical Character Recognition) algorithm and then sent via Internet and collected from all consumers through the Internet cloud in a database in the Central Electricity Department. After collecting this information, it can be used to monitor electrical loads, record invoices, and give reports about loads and costs to consumers, and thus participate in rationalizing electrical energy consumption. The most important characteristic of the proposed model is its simplicity as it does not change anything in the structure of the meter and does not need to make any modifications to its internal composition. This system will save a lot of effort and time and contribute to reducing human errors when reading metrics and making some kind of interventions between the supplier and the consumer to reduce waste, rationalize consumption and reduce costs.

/pdf/design-and-implementation-of-a-prototype-automatic-reading-199dtnau38.pdf

Design and Implementation of a Prototype Automatic Reading System for the Consumers’ Electrical Energy Meters

Due to the rapid increase in the human population and the dependence of human beings on electricity, the demand for electricity has increased, causing a deficit of electricity at peak times. We can see an individual standing in front of our home by the electric board at the end of each month, his work is to write the energy meter reading and convey the bills to the proprietor of the house. As per the reading recorded, we need to pay the bills. The principle downside of this machine is that a person should move via area and need to examine the meter of every residence and supply the invoices is the main drawback. Often mistakes like the quantity of greater payments or the notification from the electric panel even if the bills are paid are commonplace mistakes, and we can also reveal and examine the use of energy with the aid of the consumer so that the electricity dealer can plan energy with the aid of accumulating records electricity. We've come up with an concept with a view to cast off the human mistakes, even the errors might be overcome. In this paper, the concept of smart energy meter using RaspberryPi was introduced. We use Raspberry Pi since it is vitality productive, devours less vitality, is quicker and has two UARTs. The energy meters that are as of now introduced in our homes are not supplanted, yet a little change is made to the meters previously introduced and along these lines the current meters are changed into savvy meters. We can see the reading without much of a stretch access the meter by working through a site page we have planned. The present perusing with expense can be seen on the website page. The instrument can be activated and deactivated automatically.

J Belwyn Samson

Papers

Smart Energy Monitoring Using RaspberryPi