Digital twin modeling and intelligent risk assessment for comprehensive services in universities

ZHANG Guoying; LYU Shaoxian; DUAN Jinlong; ZHA Bin; HUANG Xinchen

doi:10.11959/j.issn.1000-436x.2024241

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Digital twin modeling and intelligent risk assessment for comprehensive services in universities

Smart Campus | 更新时间：2024-12-31

- Digital twin modeling and intelligent risk assessment for comprehensive services in universities
- Journal on Communications Vol. 45, Issue Z2, Pages: 186-197(2024)
- 作者机构：
  
  云南艺术学院信息与网络管理中心，云南昆明 650500
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2024241
  CLC： TP39
- Received：22 October 2024，
  
  Published：30 November 2024
- 稿件说明：
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张国营,吕绍娴,段金龙等.高校综合服务数字孪生建模及智能风险评估[J].通信学报,2024,45(Z2):186-197.

ZHANG Guoying,LYU Shaoxian,DUAN Jinlong,et al.Digital twin modeling and intelligent risk assessment for comprehensive services in universities[J].Journal on Communications,2024,45(Z2):186-197.
张国营,吕绍娴,段金龙等.高校综合服务数字孪生建模及智能风险评估[J].通信学报,2024,45(Z2):186-197. DOI： 10.11959/j.issn.1000-436x.2024241.

ZHANG Guoying,LYU Shaoxian,DUAN Jinlong,et al.Digital twin modeling and intelligent risk assessment for comprehensive services in universities[J].Journal on Communications,2024,45(Z2):186-197. DOI： 10.11959/j.issn.1000-436x.2024241.

摘要

针对高校数字化转型，提出面向高校综合服务管理的数字孪生建模方法，并将生成式人工智能算法和数字孪生相结合，通过汇聚高校消防安防、能耗，以及地下管道等综合服务管理数据，提出GenAI风险评估模型，以实现对校园各类资源的全面监控和智能调度。风险评估模型能准确刻画复杂多样的高校综合服务实体，能准确预测潜在风险，有助于提高综合服务管理效率和服务质量。

Abstract

A digital twin modeling method for comprehensive service management in universities was proposed

targeting their digital transformation. By combining generative artificial intelligence algorithms with digital twins

data from various aspects of university management were aggregated

including fire safety

energy consumption

and underground piping. A GenAI risk assessment model was proposed to achieve comprehensive monitoring and intelligent scheduling of campus resources. The proposed method accurately represents the complex and diverse comprehensive service entities in universities

predicts potential risks effectively

and helps improve the efficiency and quality of comprehensive service management.

关键词

Keywords

references

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