  In various industrial fields of human social development, people have been
exploring methods aimed at freeing human labor. Constructing LLM-based agents
is considered to be one of the most effective tools to achieve this goal.
Agent, as a kind of human-like intelligent entity with the ability of
perception, planning, decision-making, and action, has created great production
value in many fields. However, the bridge O\&M field shows a relatively low
level of intelligence compared to other industries. Nevertheless, the bridge
O\&M field has developed numerous intelligent inspection devices, machine
learning algorithms, and autonomous evaluation and decision-making methods,
which provide a feasible basis for breakthroughs in artificial intelligence in
this field. The aim of this study is to explore the impact of AI bodies based
on large-scale language models on the field of bridge O\&M and to analyze the
potential challenges and opportunities it brings to the core tasks of bridge
O\&M. Through in-depth research and analysis, this paper expects to provide a
more comprehensive perspective for understanding the application of
intelligentsia in this field.
