Despite of a high level of
automation, the shield lacks adaptability to construction environment.
Experienced technicians are required for precise control of the shield, and
human factors have a significant impact on shield tunneling. Based on the
internet, big data, artificial intelligence, and other newgeneration information technologies, an autonomous driving control
system for shield with adaptive construction environment is proposed. The
system can achieve highly autonomous driving of shield from goal programming,
construction decisionmaking to control execution and
perception feedback. Based on the autonomous driving control system for shield,
the functions and software and hardware architectures of the autonomous driving
system are introduced. Micro disturbance automatic tunneling and longdistance precise advance along the tunnel design axis can be
achieved through intelligent control of key parameters such as shield posture,
synchronous grouting, and advance speed. The engineering applications in Shanghai
Airport Link Line show that: (1) The accumulative driving length using
autonomous driving technology is over 4 km, and the horizontal and elevated
posture deviation of 88% rings by autonomous driving technology is controlled
within ±30 mm, with a 30% improvement in tunnel
construction quality compared to manual control. (2) The maximum monthly
advance reaches 829.8 m, greatly improving the shield tunneling efficiency.
WU Huiming
,
ZHOU Wenbo
,
WANG Yi
. Autonomous Driving
Technology for Shield and Its Application[J]. Tunnel Construction, 2024
, 44(11)
: 2107
-2118
.
DOI: 10.3973/j.issn.2096-4498.2024.11.001
