Blockchain-Based Electricity Monitoring for Sustainable Biotechnology Operations: Insights into Green Health and Energy Efficiency

Abstract

This study explores the application of dual-blockchain technology for monitoring electricity consumption data and analyzing electricity usage behavior in the context of green health, with an emphasis on sustainable practices in biotechnology operations. The research incorporates bio-moderation principles to collect and analyze electricity consumption data, simulating biological processes such as information transfer and regulation. A dual-blockchain electricity consumption monitoring system is designed, featuring remote parameter modification, real-time visual monitoring, remote control, and early warning notifications. These functionalities leverage neural networks for power consumption data collection and blockchain technology to ensure secure data transfer and system efficiency. The proposed system offers enhanced monitoring capabilities, enabling the analysis of electricity usage behavior across different user types. Simulation experiments demonstrate improved detection rates and the ability to accurately analyze weekly consumption patterns, revealing distinct behavioral trends among users. Notably, the system maintains a strong RSSI value below -40dBm, even at extended communication distances, highlighting its robust anti-interference capabilities, high data integrity, and extensive monitoring range. The findings underscore the potential of integrating dual-blockchain technology into green health initiatives within the biotechnology industry. By optimizing energy usage and ensuring secure data management, this approach supports sustainable operations and promotes energy efficiency in biotech facilities, contributing to a greener and more sustainable future for life sciences.