{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T16:00:14Z","timestamp":1771603214091,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2010,11,3]],"date-time":"2010-11-03T00:00:00Z","timestamp":1288742400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper proposes a novel personnel positioning scheme for a tunnel network with blind areas, which compared with most existing schemes offers both low-cost and high-precision. Based on the data models of tunnel networks, measurement networks and mobile miners, the global positioning method is divided into four steps: (1) calculate the real time personnel location in local areas using a location engine, and send it to the upper computer through the gateway; (2) correct any localization errors resulting from the underground tunnel environmental interference; (3) determine the global three-dimensional position by coordinate transformation; (4) estimate the personnel locations in the blind areas. A prototype system constructed to verify the positioning performance shows that the proposed positioning system has good reliability, scalability, and positioning performance. In particular, the static localization error of the positioning system is less than 2.4 m in the underground tunnel environment and the moving estimation error is below 4.5 m in the corridor environment. The system was operated continuously over three months without any failures. <\/jats:p>","DOI":"10.3390\/s101109891","type":"journal-article","created":{"date-parts":[[2010,11,4]],"date-time":"2010-11-04T03:14:41Z","timestamp":1288840481000},"page":"9891-9918","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["A Wireless Sensor Network Based Personnel Positioning Scheme in Coal Mines with Blind Areas"],"prefix":"10.3390","volume":"10","author":[{"given":"Zhigao","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing 100084, China"}]},{"given":"Chunwen","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing 100084, China"}]},{"given":"Danchen","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Wenhan","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Shaobo","family":"Geng","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Qingqing","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, Beijing 100084, China"}]}],"member":"1968","published-online":{"date-parts":[[2010,11,3]]},"reference":[{"key":"ref_1","unstructured":"Yu, L, Li, A, Sun, Z, and Li, H (, January October). 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