面向大型工程多安全指标的解析可追溯安全控制方法
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杭州电子科技大学 自动化学院,杭州 310000

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E-mail: leileichang@hotmail.com.

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TP13

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国家重点研发计划项目(2022YFE0210700);国家自然科学基金项目(61903018);浙江省自然科学基金项目(LTGG23F030009, LY21F030011);浙江省杰出青年基金项目(LR21F030001).


Analytical and traceable safety control method for major projects with multiple safety objectives
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School of Automation,Hangzhou Dianzi University,Hangzhou 310000,China

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    摘要:

    安全控制是开展一系列大型工程的重要前提之一,但大型工程往往受多种因素影响且同时需要考虑多个安全指标,对此,提出一种基于置信规则库(belief rule base,BRB)的具有解析和可追溯特征的多目标安全控制方法.首先,面向多个安全指标建立多个BRB;其次,计算各影响因素对各安全指标的贡献度,根据贡献度值得到面向单个安全指标的关键因素序列;再次,综合获得面向多个安全指标的关键因素序列;最后,仅针对面向多安全指标的关键因素开展多目标优化.以隧道施工过程中地面沉降值和建筑斜率作为目标开展安全控制.实例结果表明,所提出方法能够精准识别关键因素,通过优化关键因素可以有效降低地面沉降值和建筑斜率.此外,还进一步研究了关键因素数量对安全控制过程和结果的影响.

    Abstract:

    Safety control is one of the most important prerequisites for major projects, which are typically influenced by multiple factors and involve multiple control objectives. This paper proposes a multi-objective safety control method with analytical and traceability features using belief rule base(BRB). Firstly, multiple BRBs are constructed for multiple safety objectives. Secondly, the contribution degrees of factors to each safety objective are calculated. Thirdly, a comprehensive list is formed of key factors according to the contribution degree for multiple objectives. Finally, the multi-objective optimization is carried out using only the key factors. A practical case of tunnel construction is studied with two safety objectives, namely the settlement and the building tilt rate. Case study results show that the proposed method can accurately identify the key factors and effectively reduce both the settlement and the building tilt rate. In addition, the influence of the number of key factors on the safety control process and results is also further explored.

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宋鑫涛,常雷雷,戴嘉栋,等.面向大型工程多安全指标的解析可追溯安全控制方法[J].控制与决策,2024,39(1):95-102

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  • 在线发布日期: 2023-12-14
  • 出版日期: 2024-01-20
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