Saving of Power in Wireless Power Transmission System using IR Sensor and Relay

As all we know that today’s live is not possible for a moment if we think without electricity after our basic needs that are air, water, food, cloth and shelter. Because without it we can not think about our mobility, But it has also many disadvantages because of the transmission of electricity through wire which cause many time sock due to which living thing may get injured or many time they get unexpected death.                 Hence for establishing the transmission of electricity without hazards today’s world started working on the removal of the net of the wires over the world and this is possible only by transmitting electricity wirelessly.                 This principle was early given by a charming and mysterious inventor and engineer Nikola Tesla(1891-1898) by inventing Tesla coil. But in wireless electricity transmission, there is a lot of wastage of energy when power is transferred to the load. If there is no loads are available around the receiving antenna(coil), power will be wasted and this is a one of the major disadvantage of this principle.                 So by using IR Sensor we can save this power from being waste which will allow the antenna to transmit the power only when the objects are available to receive this transmitted power

Low-cost real-time internet of things-based monitoring system for power grid transformers

One of the most common causes of blackouts is unexpected failures at power system transformer levels. The purpose of this project is to create a low-cost Internet of things (IoT)-based monitoring system for power grid transformers in order to investigate their working status in real-time. Our monitoring system’s key functions are the gathering and display of many metrics measured at the transformer level (temperature, humidity, oil level, voltage, vibration, and pressure). The data will be collected using various sensors connected to a microcontroller with an embedded Wi-Fi module (DOIT Esp32 DevKit v1), and then supplied to a cloud environment interface with a full display of all the ongoing changes. This technology will provide the power grid maintenance center with a clear image of the transformers’ health, allowing them to intervene at the right time to prevent system breakdown. The method described above would considerably improve the efficiency of a power transformer in a smart grid system by detecting abnormalities before they become critical

IOT-Based Energy Monitoring System for Energy Conservation

The aim of this project is to develop an Internet of Things (IoT) based Energy Monitoring System to reduce energy waste and cutting down energy cost. Therefore, it needs a system which provide efficient energy consumption management. For the starting of designing an IoT-based Energy Monitoring System, different sensor and calculated AC measurement methods were studied. The development of this system is to integrate each of the sensor, energy measuring device and IoT system into one complete module. The concept of Wireless Sensor Network (WSN) was implemented in this project. The WSN obtained data information from sensor and send them to the cloud through the IoT network for cloud storage of the ThingSpeak platform. The system contains two input signal which is voltage and current. The device that transfers the data or information from the energy monitoring device to the cloud storage is the ESP8266 Wi-Fi module. The output is the energy consumption that has been used according to the real-time data measurement. Lastly, the data that is transmitted to the cloud can be monitored through the mobile application ThingView. In conclusion, this system is necessary because it can control and manage energy consumption to avoid wastage and promote energy conservation

A sensor toolkit to facilitate context-awareness for just-in-time questioning

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (p. 151-152).Studying human behavior is a task that researchers in many diverse fields from medicine to ubiquitous computing perform to identify potential health risks or to better understand how computers can assist people. One effective means of acquiring data on human behavior is through just-in-time (JIT) questioning whereby researchers ask a person context-sensitive questions concerning their current activities or well being at appropriate times. Automatic JIT questioning is now possible, and it involves mobile or in-home computing devices that use sensors to determine when to ask real-time contextually- specific questions about a person's state. Unfortunately. there is a lack of dedicated, inexpensive, and easy-to-use sensors that are tailored to operate in a JIT questioning framework. This work describes the construction of a toolkit of sensors dedicated to providing the necessary, real-time contextual data that is needed to facilitate JIT questioning. Among the sensors in the toolkit are a heart rate monitor, an electrical current sensor, a UV radiation exposure sensor, a proximity and location sensor, and a multiple switch input sensor. The data returned by the sensors of the JITQ toolkit can be used to create context-sensitive computing devices that can determine appropriate times to ask JIT questions. The sensor toolkit can provide researchers with an affordable and robust option for carrying out behavioral studies using the JIT questioning paradigm.by Louis F. Lopez.M.Eng