面向政企行业的智能体平台技术架构和应用研究

孙佳; 杨华锋; 刘威辰; 赵鑫; 刘世伟; 刘敬谦

doi:10.11959/j.issn.1000-0801.2025187

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面向政企行业的智能体平台技术架构和应用研究

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- 面向政企行业的智能体平台技术架构和应用研究
- Research on the architecture and applications of artificial intelligent agent platform in the government and enterprise sector
- 电信科学 2025年41卷第11期页码：47-56
- 作者机构：
  
  中国电信集团有限公司，北京 100033
- 作者简介：
  
  [ "孙佳（1988- ），女，博士，中国电信集团有限公司政企服务事业群智算云创新团队大模型技术专家，主要研究方向为自然语言处理、行业大模型应用等。" ]
  [ "杨华锋（1990- ），男，中国电信集团有限公司政企服务事业群智算云创新团队技术研发组长，主要研究方向为图神经网络、推荐系统、大模型、智能体等。" ]
  [ "刘威辰（1996- ），男，中国电信集团有限公司政企服务事业群智算云创新团队大模型技术专家，主要研究方向为自然语言处理、知识图谱、大模型应用等。" ]
  [ "赵鑫（1990- ），男，中国电信集团有限公司政企服务事业群智算云创新团队大模型技术专家，主要研究方向为推荐系统、大模型、智能体等。" ]
  [ "刘世伟（1975- ），男，中国电信集团有限公司政企服务事业群智算云创新团队负责人，主要研究方向为云计算、智算、大数据、数字平台等。" ]
  [ "刘敬谦（1983- ），男，中国电信集团有限公司政企服务事业群智算云创新团队技术负责人，主要研究方向为人工智能、金融科技、大数据和云计算技术等。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2025187
  中图分类号： TP393
- 收稿：2025-02-19，
  
  修回：2025-05-09，
  
  录用：2025-06-10，
  
  纸质出版：2025-11-20
- 稿件说明：
移动端阅览
孙佳,杨华锋,刘威辰等.面向政企行业的智能体平台技术架构和应用研究[J].电信科学,2025,41(11):47-56.

SUN Jia,YANG Huafeng,LIU Weichen,et al.Research on the architecture and applications of artificial intelligent agent platform in the government and enterprise sector[J].Telecommunications Science,2025,41(11):47-56.
孙佳,杨华锋,刘威辰等.面向政企行业的智能体平台技术架构和应用研究[J].电信科学,2025,41(11):47-56. DOI： 10.11959/j.issn.1000-0801.2025187.

SUN Jia,YANG Huafeng,LIU Weichen,et al.Research on the architecture and applications of artificial intelligent agent platform in the government and enterprise sector[J].Telecommunications Science,2025,41(11):47-56. DOI： 10.11959/j.issn.1000-0801.2025187.

摘要

基于大模型的智能体具备思考、推理、反思、规划等基础能力，还有强大的自我学习和优化能力，可自主执行任务，并实现高效迭代，从而极大地拓宽了大模型的应用边界。研究聚焦于政企行业智能体平台的架构设计和应用探索，提出了一种面向政企行业的智能体平台架构，平台创新性地设计了智能体模板层和丰富多样的行业工具，同时，还具备私有化部署、国产化适配、多智能体协同等核心优势，实现对特定行业创建智能体需求的精准适配。通过政务、政法、住建和交通等领域的案例验证，表明该平台能够显著提升智能体构建和应用效率，为政企行业数智化转型提供了有效解决方案。

Abstract

Artificial intelligent (AI) agents based on large language models (LLM) possess fundamental capabilities such as thinking

reasoning

reflection

and planning. Moreover

these agents are equipped with robust self-learning and optimization abilities

enabling them to autonomously execute tasks and achieve efficient iteration. This significantly extends the application boundaries of large language models. Focusing on the architectural design and application exploration of AI agent platform for government and enterprise sectors

a novel architecture for an AI agent platform tailored to government and enterprise industries was proposed. An agent template layer was innovatively incorporated by the platform

which included AI-native applications and moduled for digital platform reconstruction

as well as a diverse range of industry-specific tools. Additionally

core advantages were featured such as private deployment

domestic adaptation

and multi-agent collaboration

achieving precise alignment with the needs of creating intelligent agents for specific industries. Case studies in the fields of government affairs

law enforcement

construction

and transportation demonstrate that the platform can significantly enhance the efficiency of AI agent construction and application

providing an effective solution for the digital and intelligent transformation of government and enterprise sectors.

关键词

Keywords

references

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