Power Plant Management Application

KAVIARASU S; PRADEEP N; RAJESH R; Dr SHANKAR N

Power Plant Management Application

April 2024

Vol-10, Issue-2

Paper ID: 23062

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electrical and Electronics Engineering

Keywords

concurrency lightweight scalability and synchronization

Abstract

The Power Plant Management System is a critical component in ensuring the efficient operation and maintenance of power generation facilities. In this study, we propose an innovative approach to power plant management utilizing Go routines, a lightweight concurrency model in the Go programming language. The system aims to streamline various aspects of power plant operations, including real-time monitoring, predictive maintenance, and optimization of energy production processes. The aim of the "Power Plant Management application" is to develop a sophisticated software application that integrates advanced technologies to streamline, optimize, and secure the operations of power plants. The system will provide a centralized platform for real-time monitoring, predictive maintenance, and data analytics to enhance overall efficiency and reliability. The utilization of Go routines offers several advantages in the context of power plant management. Firstly, the lightweight nature of Go routines enables the system to handle thousands of concurrent tasks efficiently, enhancing responsiveness and scalability. Secondly, the cooperative scheduling mechanism of Go routines allows for seamless coordination and synchronization of concurrent operations, ensuring optimal resource utilization within the power plant environment. Additionally, Go routines facilitate simplified error handling through return values and channels, contributing to the robustness and reliability of the system. Key features of the proposed Power Plant Management System include real-time monitoring of critical parameters, predictive maintenance algorithms for early fault detection, and optimization of energy production based on demand forecasting. The system also incorporates advanced security measures to safeguard sensitive data and ensure the integrity of power plant management operations.

License

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Author Information

#	Name	Institute / Affiliation
1	KAVIARASU S	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
2	PRADEEP N	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
3	RAJESH R	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
4	Dr SHANKAR N	BANNARI AMMAN INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style

S, KAVIARASU, N, PRADEEP, R, RAJESH, & N, Dr SHANKAR (2024). Power Plant Management Application. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 2372-2393.

MLA Style

S, KAVIARASU, et al. "Power Plant Management Application." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 2372-2393.

IEEE Style

KAVIARASU S, PRADEEP N, RAJESH R, and Dr SHANKAR N, "Power Plant Management Application," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 2372-2393, 2024.

Vancouver Style

S KAVIARASU, N PRADEEP, R RAJESH, N Dr SHANKAR. Power Plant Management Application. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):2372-2393.

Harvard Style

S, KAVIARASU, N, PRADEEP, R, RAJESH, & N, Dr SHANKAR (2024) 'Power Plant Management Application', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 2372-2393.

Chicago Style

S, KAVIARASU, et al. "Power Plant Management Application." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2372-2393.

Turabian Style

S, KAVIARASU, et al. "Power Plant Management Application." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2372-2393.