考虑环境温度的传感器优化布置方法

周宏元 ,  田智 ,  王小娟 ,  王利辉

北京工业大学学报 ›› 2026, Vol. 52 ›› Issue (6) : 617 -628.

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北京工业大学学报 ›› 2026, Vol. 52 ›› Issue (6) : 617 -628. DOI: 10.11936/bjutxb2024020007
研究论文

考虑环境温度的传感器优化布置方法

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An Optimal Sensor Placement Method Considering Ambient Temperature

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摘要

为了解决在传感器优化布置过程中温度对结构振动特性的影响常被忽视的问题,考虑了温度对结构刚度的影响,基于传统的传感器优化布置方法,提出一种基于结构全年工作环境温度变化的传感器优化布置方法。该方法通过将温度区间的自由度识别权重与对应的温度概率相乘进行修正,从而优化传感器布置。通过固支钢框架数值模拟,运用3种传统传感器优化布置方法,并结合4种评价准则验证该方法的有效性。结果表明,双K模型下的传感器布设方案优于单K模型,特别是在与基准温度温差较大或传感器数量较少的情况下。此外,采用年温度分布概率的传感器优化布置方法相较于采用年平均温度的方法更具优势。

Abstract

To address the issue of neglecting the impact of temperature on structural vibration characteristics during the optimization of sensor layout, this paper proposes a sensor placement method that considered annual temperature distribution with traditional sensor layout optimization techniques (SP-T). In the proposed method, the sensor placement scheme is adjusted by the identification weights of temperature intervals multiplied by corresponding temperature probabilities. Meanwhile, the effectiveness of the proposed method is validated through the numerical simulation of a fixed-supported steel frame, employing three traditional sensor optimization placement methods and four evaluation criteria. Results indicate that the sensor placement scheme with the dual-K model outperforms that with the single-K model, especially in cases with large temperature deviations from the reference temperature or fewer sensors. In addition, the sensor optimization placement method utilizing annual temperature distribution probabilities outperforms employing the annual average temperature.

关键词

传感器优化布置 / 环境温度 / 温度分布概率 / 有效独立法 / 模态置信准则 / 钢框架结构

Key words

sensor placement / ambient temperature / temperature probability / effective independent method / modal confidence criterion / steel frame structure

引用本文

引用格式 ▾
周宏元,田智,王小娟,王利辉. 考虑环境温度的传感器优化布置方法[J]. 北京工业大学学报, 2026, 52(6): 617-628 DOI:10.11936/bjutxb2024020007

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基金资助

国家自然科学基金资助项目(52178096)

国家自然科学基金资助项目(52278477)

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