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Title: Evaluation of petroleum safety management system based on embedded intelligent image sensor

Authors: Shunzheng Jia; Nan Sun; Fangting Jia

Addresses: School of Engineering, University of Aberdeen, Aberdeen, AB24 3FX, Scotland, UK ' Changchun Humanities and Sciences College, Changchun, 130117, Jilin, China ' Shandong Shuifa Water Co., Ltd., Jinan, 250100, Shandong, China

Abstract: With the development of optical engineering, the application of embedded sensors in petroleum development has become a research hotspot in the field of petroleum extraction. Embedded intelligent image sensors can detect differences in oil reflection in the visible light wavelength range. Based on the test results, a program for the petroleum safety management system can be designed. This paper uses embedded intelligent image sensor technology to construct a petroleum safety management system. This paper first introduces the requirements of the petroleum safety management system and optimises it using embedded intelligent image sensors. Finally, the feasibility of the system is verified through experiments. Experimental data shows that the system achieves functional efficiencies of 0.825, 0.814, 0.793, 0.841, and 0.832 in personnel safety management, equipment safety management, material safety management, operational process safety management, and scheduling safety management, respectively. These data indicate that the system can allocate different security management contents reasonably.

Keywords: petroleum development; security management system; intelligent image sensor; efficiency index; petroleum development; embedded sensors.

DOI: 10.1504/IJEP.2026.152505

International Journal of Environment and Pollution, 2026 Vol.76 No.5, pp.58 - 76

Received: 16 Jul 2025
Accepted: 03 Dec 2025
Published online: 24 Mar 2026 *