Decentralized Remote Switch Operation for Industrial Safety via Blockchain

Sudip Chakraborty

Decentralized Remote Switch Operation for Industrial Safety via Blockchain

Keywords : Blockchain, Decentralized Control, Remote Switch Operation, Industrial Safety, Smart Contracts, IoT, Edge Computing, Cybersecurity, Fault Tolerance, Real-time Monitoring.


Abstract

In modern industrial environments, ensuring the safety and efficiency of electrical systems is paramount. Traditional remote switch operations often rely on centralized control systems that are prone to single points of failure, cyber-attacks, and limited transparency. This paper proposes a novel decentralized approach to remote switch operation for industrial safety using blockchain technology. By leveraging the immutable, transparent, and tamper-resistant nature of blockchain, the proposed system enables secure and verifiable control of industrial switches, eliminating the need for centralized authority.
The architecture integrates smart contracts deployed on a blockchain network to automate switch control logic, access permissions, and event logging. Each switch operation—whether initiated by human operators or IoT-based sensors is recorded on the blockchain, ensuring traceability and accountability. The system also incorporates consensus mechanisms to validate actions, preventing unauthorized access or malicious activities. To enhance responsiveness and real-time control, a lightweight node framework is implemented at the edge level, interfacing with industrial equipment.
The proposed solution was tested in a simulated industrial setup, demonstrating improved reliability, fault tolerance, and security over conventional methods. Key performance indicators, including latency, operational accuracy, and network resilience, were analyzed, revealing that blockchain integration does not significantly compromise real-time responsiveness while significantly improving system integrity and auditability.
This research highlights the potential of decentralized technologies in enhancing industrial safety systems and opens avenues for future work in integrating AI-driven analytics and cross-industry blockchain interoperability.

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