scholarly journals Implementation of IOT Based Smart Energy Meter in Oman

Author(s):  
Hassan Ali Alajmi ◽  
Raid Rashid Ali Alsaidi ◽  
Omar Abdullah Sultan AL-shibli ◽  
Senthil Ramadoss

Managing the energy efficient and conserving it intelligently for appliances is very much important. On the other side, it may be possible events mistake cause while reading on energy meter, monitoring and keeping track of your electricity consumption for verification is a tedious task today. Our main objective of measuring the power consumption at homes using IOT with raspberry pi during period time, which can be controlled as well monitored through the raspberry pi across the IOT. We used Python programming language to control raspberry pi. It's based on raspbian which is operating system for all models of the raspberry Pi that subject to linux system. As we say before raspberry pi has inputs and we use it for connecting the supply, energy meter and load such as a lamp or Drill. The energy meter is connected to the raspberry pi. This allows user to easily check the energy usage along with the cost charged online using a simple web application connecting to Wi-Fi. Thus, the energy meter monitoring system allows consumer to effectively monitor electricity meter readings and bill amount in an easy way. It presents a low cost and flexible energy meter monitoring system using IOT. In addition, we use camera which is called camera pi. Camera pi takes picture from meter reading and communicates to consumer via email. All information on the energy meter screen will be taken by raspberry pi module. Using this data, the raspberry pi will calculate the bill amount then send to the consumer by email. Finally, this project will help for the proper and accurate reading of the billing process automatically. Also, it enables consumer to save the money for a long time. This technology offers new and exciting opportunity to reduce the work of workers.

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Priyanka Kakria ◽  
N. K. Tripathi ◽  
Peerapong Kitipawang

Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heart monitoring system is developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio. The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.


2020 ◽  
Vol 12 (6) ◽  
pp. 475-489
Author(s):  
Bahman A. Sassani ◽  
Noreen Jamil ◽  
Maria Villapol ◽  
M. Abbas Malik ◽  
Sreenivas Sremath Tirumala

Internet of Things (IoT) based systems have revolutionised the way real world systems are inter-connected through internet. At present the application of IoT based systems is extend to real time detection and warning system. However, cost has been a major factor for development and implementation of IoT systems. Considering the cost, ease of implementation, this paper proposes a low cost yet efficient IoT system called FireNot for warning and alerting fire incidents. FireNot is a cloud based system that uses sensors (hardware) to detect fire and alert the user through internet and is maintained and monitored using a simple Android app. The FireNot system uses Raspberry Pi programmed through Python language and utilises Google API for location detection. The FireNot system is also intended to provide an expandable platform for additional daily monitoring tasks and more importunately, resiliency against most cyber-attacks and hi-jacking that targets IoT-based system lacked in most of similar IoT-based designs. This paper practically demonstrates the FireNot system through extensive testing on various operations and the FireNot system is proven to be efficient.


2018 ◽  
Vol 180 ◽  
pp. 02010
Author(s):  
Jan Raczyński

The key parameter in assessing the economic viability of purchasing and operating rolling stock is the total cost incurred by the ordering party, starting from the preparation of the rolling stock purchase plan to the end of its operation, including its disposal. The methodology for calculating these life cycle costs (LCCs) has been developed especially in recent years based on the experience of the next-generation vehicle deployment. In Poland first vehicles purchase using the LCC method was carried out in few recent years - by PKP Intercity and by Lodz Agglomeration Railway. Despite the use of simplified criteria for the economic efficiency of vehicles, optimal offers were selected. This article describes examples of rolling stock purchase based on the low cost of life of the vehicle and the economic and operational results that have been achieved after several years of operation. Further possibilities for optimizing these costs were also indicated. Examples showing the proportion between the cost of vehicle purchase, its technical maintenance and its operation, where the electricity consumption is the main factor are given.


With increase in low cost internet and with advent of 4G technologies increase in internet speed, IoT-based applications are getting more popular day by day and it provides effective solution of many real time monitoring problems. In this research, a cloud based real-time monitoring system for industrial energy meter has been proposed. The prototype system provides continuous and ubiquitous access to energy consumption of the equipment under monitoring to the consumer using IoT technology. To implement the system in any industry it requires a simple and low-cost upgrade to the existing meters rather than complete replacement. Based on the experimental analysis, it is found that from the collected data, it is possible to obtain the pattern of consumption as well as faultiness present in the existing system. In terms of future scope of work, the presented work can also be extended to grid distribution level from which load distributed in the area can be estimated so that the system can be strengthened to enhance performance.


Nowadays, Energy conservation and management are a must practice due to the exponentially increasing energy usage. One solution for providing for energy conservation is appliance load monitoring. Load monitoring approach should be simple and of low cost in order to be massively deployable. Non-Intrusive load monitoring is a better approach since it can disaggregate energy at the cost of single energy meter. A low sampling rate energy meter incurs low cost compared to a high sampling rate energy meter. In this paper a less complex, low cost energy disaggregation approach has been proposed


2020 ◽  
Author(s):  
John P. Efromson ◽  
Shuai Li ◽  
Michael D. Lynch

AbstractAutosampling from bioreactors reduces error, increases reproducibility and offers improved aseptic handling when compared to manual sampling. Additionally, autosampling greatly decreases the hands-on time required for a bioreactor experiment and enables sampling 24 hrs a day. We have designed, built and tested a low cost, open source, automated bioreactor sampling system, the BioSamplr. The BioSamplr can take up to ten samples from a bioreactor at a desired sample interval and cools them to a desired temperature. The device, assembled from low cost and 3D printed components, is controlled wirelessly by a Raspberry Pi, and records all sampling data to a log file. The cost and accessibility of the BioSamplr make it useful for laboratories without access to more expensive and complex autosampling systems.


Author(s):  
Tiago da Silva Almeida

This paper presents a low-cost prototype for lectures in public universities based on Raspberry Pi. It is described how to connect and configure the prototype using an infrared remote control. Technologies applied in education are widely explored in recent researches and can be held to lower the cost. The proposed prototype is 86\% cheaper on average (compared to ordinary computer) and can be used for automation of the classrooms besides lectures. For example, the prototype can be additionally used to access control, environment monitoring, and management of the environment utilization by the users.


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