Revolutionizing Bridge Operation and maintenance with LLM-based Agents: An Overview of Applications and Insights
<|reference_start|>Revolutionizing Bridge Operation and maintenance with LLM-based Agents: An Overview of Applications and Insights: 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.<|reference_end|>
@article{chen2024revolutionizing,
    title={Revolutionizing Bridge Operation and maintenance with LLM-based Agents:
  An Overview of Applications and Insights},
    author={Xinyu Chen, Lianzhen Zhang},
    journal={arXiv preprint arXiv:2407.10064},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.10064},
    primaryClass={cs.MA}
}