Article Details

Title · Authors · Abstract · Keywords · DOI · References

Intelligent Safety Monitoring System for Power Grid Operations Based on AI Vision + Node-RED

DENG Yong, GONG Qinglin, QIAN Binghang, DU Qingsong

(Chongqing Vocational College of Public Transportation, Chongqing 402247, China)

Section:Artificial Intelligence · Vol. 2026, Issue 14 · Pages:70-76 · 2096-4706(2026)14-0070-07 · CLC number:TP391.4 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.14.014

Abstract

To address on-site issues such as high safety level requirements and high risk coefficients in power grid operations, insufficient corresponding safety protection and early warning measures, and a lack of traceability and monitoring mechanisms for personnel operations, an intelligent safety protection and monitoring system based on AI vision + Node-RED is proposed. By integrating a visual system and AI algorithms to collect and process key information such as faces, gloves, and safety helmets, while incorporating a fall detection algorithm, it enables real-time monitoring of personnel operations. Through the construction of a Node-RED visual IoT platform, lightweight, low-code remote safety protection monitoring can be conveniently and efficiently implemented, ensuring the safe operation of industrial sites.

Keywords

AI vision; Node-RED; safety protection; Internet of Things; remote monitoring

References

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Funding

2024 Chongqing Municipal Education Commission Science and Technology Research Plan Project (KJQN202405805)

About the authors

Deng Yong (1985-), male, Han ethnicity, from Nanchong, Sichuan, associate professor, senior engineer, master's student, research direction: mechatronics technology.