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.

翻译：在人类社会发展的各个工业领域中，人们一直在探索旨在解放人力的方法。构建基于大语言模型（LLM）的智能体被认为是实现这一目标的最有效工具之一。智能体作为一种具备感知、规划、决策与行动能力的类人智能实体，已在诸多领域创造了巨大的生产价值。然而，与其他行业相比，桥梁运维（O&M）领域的智能化水平相对较低。尽管如此，桥梁运维领域已发展出众多智能检测设备、机器学习算法以及自主评估与决策方法，这为该领域人工智能的突破提供了可行基础。本研究旨在探讨基于大语言模型的人工智能体对桥梁运维领域的影响，并分析其给桥梁运维核心任务带来的潜在挑战与机遇。通过深入研究和分析，本文期望为理解智能体在该领域的应用提供一个更全面的视角。