Evaluating the Performance of a Smart VCR System Using Python for Data Analysis Based on IoT

Year : 2024 | Volume :15 | Issue : 02 | Page : 7-23
By

Paritesh Nim,

Deepak Shukla,

Amit Chandak,

  1. Research Scholar, IPS Academy, Institute of Engineering & Science, Indore, Madhya Pradesh, India
  2. Assistant Professor, IPS Academy, Institute of Engineering & Science, Indore, Madhya Pradesh, India
  3. Assistant Professor, IPS Academy, Institute of Engineering & Science, Indore, Madhya Pradesh, India

Abstract

Commercial buildings use a significant amount of electricity, with around 60% to 80% being attributed to the HVAC system. Implementing IoT and smart sensors can help reduce this consumption by 10% to 30%. To lower the electricity usage of air conditioners, a study has proposed an IoT-based smart VCR system with sensors, meters, gateway, and cloud computing modules. This system is designed to collect data and regulate the VCR system based on the set temperature, while also monitoring real-time power consumption through datasets. This allows each meter to control its corresponding compressor’s cooling and heating operations, enabling local energy management. Additionally, the energy-saving strategy helps alleviate the power grid burden and reduces the load on the power station, leading to a positive impact on greenhouse gas reduction. This temperature takes into account the occupants’ well-being and reduces power consumption. Furthermore, this model utilizes eco-friendly refrigerants.

Keywords: ESP32, Python, Internet of Things (IoT), VCR System

[This article belongs to Journal of Control & Instrumentation(joci)]

How to cite this article: Paritesh Nim, Deepak Shukla, Amit Chandak. Evaluating the Performance of a Smart VCR System Using Python for Data Analysis Based on IoT. Journal of Control & Instrumentation. 2024; 15(02):7-23.
How to cite this URL: Paritesh Nim, Deepak Shukla, Amit Chandak. Evaluating the Performance of a Smart VCR System Using Python for Data Analysis Based on IoT. Journal of Control & Instrumentation. 2024; 15(02):7-23. Available from: https://journals.stmjournals.com/joci/article=2024/view=161746

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Regular Issue Subscription Original Research
Volume 15
Issue 02
Received June 20, 2024
Accepted July 8, 2024
Published August 8, 2024
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