Journal of Applied Science and Engineering

Published by Tamkang University Press

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Design and Rationality of Natural Gas Dispatching System Architecture Using Voice Control Instructions with Unique-Id for Improving Traceability

 2026

 Volume 35

Hongtao Diao, Yu Li, Zengrui wang, Youyi Liang, Yi Yang

Pipe China Oil & Gas Control Center, Beijing, 100013 China

Received: July 13, 2026
Accepted: August 22, 2026
Publication Date: September 11, 2026

上傳圖片

Block diagram of the proposed framework.

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202612_35.033

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Natural gas dispatching (NgD) systems increasingly employ voice control instructions to improve operational efficiency and human-machine interaction. However, existing voice-command frameworks lack end-to-end command traceability, limiting failure localization and compromising operational reliability and cybersecurity. This study proposes a natural gas dispatching system architecture that integrates unique identifiers with voice control instructions to enhance command traceability, authentication, and secure execution. The proposed framework assigns a unique ID to each voice command and integrates Exponential Growth Spectral Subtraction (EG-SS) for industrial noise suppression, Gaussian Mixture Model (GMM)-based speech recognition, Grunwald-Letnikov Secure Hash Algorithm-3 (GL-SHA-3) for command integrity verification, Consensus Finite State Machine (C-FSM) for operational limit validation, and SSG-aSiLUGRU for intent recognition and attack detection within the SCADA environment. Experimental results using voice command data and the SCADA Cybersecurity Research dataset collected from a simulated SCADA environment demonstrate that the proposed framework achieves 98.945% intent recognition and attack detection accuracy, a 20.5 dB Noise Reduction Ratio, 32 dB Signal-to-Noise Ratio, 687 ms hash creation time, 654 ms hash verification time, and 98.46% state transition accuracy, outperforming conventional approaches. These findings confirm that the proposed architecture effectively enhances command integrity, enables precise failure localization, strengthens cybersecurity against malicious voice-command attacks, and improves the reliability, safety, and traceability of natural gas dispatching operations.

Keywords: Natural gas Dispatching (NgD) System, Voice Control Instructions (VCI), Traceability, Intent Recognition, Supervisory Control and Data Acquisition (SCADA).

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