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High-precision positioning of mine personnel based on wireless pulse technology.
Zheng, Xuezhao; Wang, Baoyuan; Zhao, Ju.
Afiliação
  • Zheng X; School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, China.
  • Wang B; Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi'an, China.
  • Zhao J; School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, China.
PLoS One ; 14(7): e0220471, 2019.
Article em En | MEDLINE | ID: mdl-31365552
ABSTRACT
Aiming at addressing current problems of the low accuracy, long delay, and complex arrangement of positioning systems for coal mine workers, a high-precision personnel positioning method based on two round trips of a radio pulse is proposed, and the influencing factors of the positioning by experiments. A matrix is established by taking the transmission timing of the wireless pulse, the preprocessing time of the label, and the receiving time as elements. The result of the matrix calculation shows that the position of the label is related to the above three factors. Experiments are carried out to simulate base station intervals of 20-90 m on an underground roadway. The results show that when the spacing of the positioning base stations is 70 m, the average positioning error is a minimum of 0.0302 m and the positioning delay is a minimum of 0.43 s. In the same experimental environment, after 60 days of continuous operation, it is found that the mean change in the positioning accuracy of the two-round-trip system is within ±0.0003 m while the delay change is within ±0.03 s, showing good system stability.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Minas de Carvão / Sistemas de Informação Geográfica / Tecnologia sem Fio / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Minas de Carvão / Sistemas de Informação Geográfica / Tecnologia sem Fio / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article