Design & Implementation of High Dynamic Range Current Measurement System for IoT Applications
ABSTARCT :
Internet-of-Things (IoT) devices have a strict necessity for power consumption to achieve the expected battery life. Therefore, measuring and optimizing the energy consumption of IoT nodes are essential.
IoT nodes feature extreme current consumption range over 100 dB between their operating modes. The main focus of this article is to design and implement a low-power and low-cost current measurement circuit, which can be integrated into IoT nodes. A new pass element is introduced for measuring the current consumption.This element is placed in the current path to measure current over a high dynamic range with a constant voltage drop. The introduced pass element consists of a capacitor and analog switches. The current consumption is measured based on the charge and discharge times of the capacitor in the specified period of time.
The voltage across the pass element is buffered and fed to a low-power microcontroller. The proper operation of the proposed circuit is verified numerically with simulations and experimental measurements. The implemented current measurement circuit offers a load regulation of 0.23%, a dynamic range of 173.98 dB , and a linearity error of 0.522%. It is expected that the proposed system provides clear information on the power behavior of IoT devices, which can be used for power optimization of IoT networks and self-power test equipment.
EXISTING SYSTEM :
Smart Energy measurement concept has been adapted more frequently as an initiative to create an intelligent space area by taking advantage of the rapid development of computational and communication architecture.
This concept is not only limited to Malaysia but other countries as well.
General public understanding of smart Energy measurement concept rotates on the idea of automated process, which is able to automatically control the Energy measurement’s operation through the usage of instrumentation measures and microcontrollers in two-way communication.
DISADVANTAGE :
A smart energy consumption forecasting is important, especially for Energy measurements as Energy measurements’ energy usage is increasing and almost reaches 40% of primary energy use in developed countries.
The increasing of energy consumptions towards Energy measurements from day to day create enforcement to this country in managing and reducing the energy consumption as much as possible in order to improve energy efficiency.
A major advantage of using Microsoft Azure over SPSS is it is user friendly and easy to use even the user only has basic knowledge in cloud computing and machine learning.
PROPOSED SYSTEM :
The work done in this paper falls under the scope of a research project named MiGrid.
The project mainly aims at creating a holistic testbed platform that couples smart Energy measurements and renewable energy storage and production.
These are wirelessly connected actuators that are supposed to translate electrical signals into mechanical actions to act on appliances.
ADVANTAGE :
The SG comes with an improvement to the network that resides in the on-the-spot feedback about the operations, power interruptions, and electricity consumption.
The SG has the ability to tune itself to provide a better state of performance, and a better quality of the energy delivered.
This consists of the power lines, transformers, etc. The information given by these assets is used by the smart meters and wireless devices, in addition to microgeneration and storage devices.
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