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

Shunzheng Jia et al.

International Journal of Environment and Pollution2026https://doi.org/10.1504/ijep.2026.152505article
ABDC C
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1504/ijep.2026.152505

Or copy a formatted citation

@article{shunzheng2026,
  title        = {{Evaluation of petroleum safety management system based on embedded intelligent image sensor}},
  author       = {Shunzheng Jia et al.},
  journal      = {International Journal of Environment and Pollution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijep.2026.152505},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.