Backscattering Echo Intensity Characteristics of Laser in Soil Explosion Dust.

backscattering echo intensity laser mean gray value soil explosion dust soil moisture content

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
16 Jun 2023
Historique:
received: 10 05 2023
revised: 11 06 2023
accepted: 14 06 2023
medline: 10 7 2023
pubmed: 8 7 2023
entrez: 8 7 2023
Statut: epublish

Résumé

Soil dust generated by explosions can lead to the absorption and scattering of lasers, resulting in low detection and recognition accuracy for laser-based devices. Field tests to assess laser transmission characteristics in soil explosion dust are dangerous and involve uncontrollable environmental conditions. Instead, we propose using high-speed cameras and an indoor explosion chamber to assess the backscattering echo intensity characteristics of lasers in dust generated by small-scale explosive blasts in soil. We analyzed the influence of the mass of the explosive, depth of burial, and soil moisture content on crater features and temporal and spatial distributions of soil explosion dust. We also measured the backscattering echo intensity of a 905 nm laser at different heights. The results showed that the concentration of soil explosion dust was highest in the first 500 ms. The minimum normalized peak echo voltage ranged from 0.318 to 0.658. The backscattering echo intensity of the laser was found to be strongly correlated with the mean gray value of the monochrome image of soil explosion dust. This study provides experimental data and a theoretical basis for the accurate detection and recognition of lasers in soil explosion dust environments.

Identifiants

pubmed: 37420806
pii: s23125638
doi: 10.3390/s23125638
pmc: PMC10301389
pii:
doi:

Substances chimiques

Dust 0
Soil 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Key Foundation of Equipment Advance Research Program
ID : 61404160201
Organisme : Equipment Advance Research Rapid Support Program
ID : No.80919010303
Organisme : China Scholarship Council
ID : 202006030037

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Auteurs

Lijuan Gao (L)

Science and Technology on Electromechanical Dynamic Control Laboratory, Beijing Institute of Technology, Beijing 100081, China.

Fue-Sang Lien (FS)

Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Huimin Chen (H)

Science and Technology on Electromechanical Dynamic Control Laboratory, Beijing Institute of Technology, Beijing 100081, China.

Guang Chen (G)

Key Laboratory of Traffic Safety on Track, Central South University, Changsha 410083, China.

Shangxian Yang (S)

Beijing Bo Tsing Technology Co., Ltd., Beijing 100176, China.

Jiahao Deng (J)

Science and Technology on Electromechanical Dynamic Control Laboratory, Beijing Institute of Technology, Beijing 100081, China.

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Classifications MeSH