Research on intelligent warning mechanism of accurate personnel positioning system based on fuzzy neural network

Lijun Tang

doi:10.1117/12.3026413

27 March 2024 Research on intelligent warning mechanism of accurate personnel positioning system based on fuzzy neural network

Lijun Tang

Author Affiliations +

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053C (2024) https://doi.org/10.1117/12.3026413
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In order to improve the intelligent level of accurate personnel positioning system to deal with underground emergencies, this paper shows an intelligent warning mechanism based on fuzzy neural network. The fuzzy neural network is a multi-input single-output model structure model, which has four layers, input layer, fuzzification layer, fuzzy inference layer and output layer. The intelligent warning mechanism standardizes the data of sensors in the location of the personnel label, and then uses the trained fuzzy neural network to predict. Before the disaster accident, the staff is automatically reminded to evacuate the dangerous area as soon as possible through the sound and light alarm function of the personnel label. The test shows the intelligent warning mechanism can remind the underground staff to evacuate the dangerous area as soon as possible before the disaster accident. Compared with the 70% prediction accuracy of the single sensor warning mechanism, the intelligent warning mechanism using fuzzy neural network can achieve 95% prediction accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lijun Tang "Research on intelligent warning mechanism of accurate personnel positioning system based on fuzzy neural network", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053C (27 March 2024); https://doi.org/10.1117/12.3026413

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