Research on the intelligent positioning method of tunnel excavation face

• Autorzy: Zhang Jiesheng , Qi Yongzheng

Identyfikatory

DOI

10.24425/ace.2022.140178

• Języki publikacji: EN

Abstrakty

EN

Tunnel construction survey must be necessary to be very quick so that the results can be known as soon as possible. This aim can be achieved through the intelligent positioning method of tunnel excavation face. In this study, the plane parameters of the tunnel cross-section were transformed into the coordinates of the points on the cross-section to realize the automatic transformation of graphic data. According to the theoretical calculation of the lofting point accuracy, the appropriate measurement control network level and measurement accuracy and the appropriate measurement instruments were selected. The fast and intelligent positioning and setting out of tunnel excavation face was realized base on the technology of data communication between computer and measuring instruments. The intelligent positioning method of tunnel excavation face could greatly reduce the time of measurement and positioning, speed up the project progress, reduce the project risk, shorten the construction period and reduce the project cost.

Słowa kluczowe

EN

tunnel; excavation face; intelligent method; positioning; graphic conversion; data conversion

PL

czoło wykopu; tunel; metoda inteligentna; pozycjonowanie; konwersja danych; konwersja graficzna

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2022
• Tom: Vol. 68, nr 1
• Strony: 431--441
• Opis fizyczny: Bibliogr. 13 poz., il., tab.

Twórcy

autor

Zhang Jiesheng

• CTCE Group, Hefei, China,

• https://orcid.org/0000-0003-4296-7132

autor

Qi Yongzheng

• Jiangsu University of Science and Technology, School of Civil Engineering and Architecture, Zhenjiang, China

• https://orcid.org/0000-0001-8395-4552

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).