500 kV高压线下受限空间内地铁车站施工安全评价

doi:10.16265/j.cnki.issn1003-3033.2025.04.1008

摘要/Abstract

摘要：

为有效识别施工风险,预防施工安全事故,研究500 kV高压线下受限空间内地铁车站施工安全评价方法。首先,结合层次分析法(AHP)和管理-人员-机器-环境-技术(3MET)法,构建高压线下地铁车站施工安全评价指标体系;然后,采用诱导有序加权平均(IOWA)算子赋权计算各级指标权重,结合云模型确定评价标准云和各级指标云特征值,进而确定综合安全评价等级;最后,以重庆地铁15号线大学城中路站为例,验证该评价方法并提出高风险指标防控措施。结果表明:评价模型能够准确识别高压线下地铁车站施工安全高风险源,安全评价等级为较低风险,与实际情况吻合。在采取安全防控措施时应重点考虑高压线电磁场影响、风险监测防护、机械设备选型及其安全功能,其中,搭建多维多层防护结构能够有效降低高压线下地铁车站施工风险。

关键词: 500 kV高压线, 受限空间, 地铁车站, 施工安全评价, 云模型, 诱导有序加权平均(IOWA)算子, 层次分析法(AHP)

Abstract:

In order to effectively identify construction risks and prevent safety accidents, this study investigated the safety evaluation method for metro station construction in confined space under 500 kV high-voltage lines. First, a safety evaluation index system for metro station construction under high-voltage lines was established by integrating AHP and 3MET(Management,Man,Machine,Environment,Technology) method. Then, the weights of indicators were calculated using the IOWA operator, and the cloud model was applied to determine evaluation standard clouds and cloud characteristic values, thereby deriving the comprehensive safety evaluation grade. Finally, the proposed method was validated through a case of the University Town Central Road Station on Chongqing Metro Line 15, with corresponding mitigation measures proposed for high-risk indicators. The results demonstrate that the evaluation model accurately identifies high-risk sources in metro station construction under high-voltage lines, with the safety evaluation grade classified as lower risk, consistent with on-site conditions. Key considerations for safety measures include the electromagnetic field effects of high-voltage lines, risk monitoring and protection, mechanical equipment selection and its safety functions. The application of multi-dimensional layered protective structures could effectively mitigate construction risks under high-voltage environments.

Key words: 500 kV high-voltage lines, confined space, metro station, construction safety evaluation, cloud model, induced ordered weighted average (IOWA) operator, analytic hierarchy process (AHP)

中图分类号:

X948

李彦君, 夏华华, 闫宏帅, 刘科伟, 宋锐涛. 500 kV高压线下受限空间内地铁车站施工安全评价[J]. 中国安全科学学报, 2025, 35(4): 204-210.

LI Yanjun, XIA Huahua, YAN Hongshuai, LIU Kewei, SONG Ruitao. Safety evaluation of metro station construction in confined space under 500 kV high-voltage lines[J]. China Safety Science Journal, 2025, 35(4): 204-210.

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二级指标	专家1	专家2	专家3	专家4	专家5	E_x	E_n	H_e	权重
F₁₁	[0.7,0.8]	[0.7,0.74]	[0.72,0.76]	[0.62,0.7]	[0.7,0.9]	0.734	0.044 1	0.025 2	0.240
F₁₂	[0.6,0.7]	[0.6,0.66]	[0.63,0.69]	[0.64,0.7]	[0.6,0.8]	0.664	0.026 1	0.007 1	0.423
F₁₃	[0.5,0.7]	[0.55,0.61]	[0.5,0.7]	[0.54,0.6]	[0.6,0.8]	0.612	0.044 1	0.024 0	0.124
F₁₄	[0.7,0.8]	[0.75,0.79]	[0.6,0.8]	[0.7,0.8]	[0.8,1.0]	0.774	0.063 2	0.040 5	0.213
F₂₁	[0.6,0.7]	[0.7,0.72]	[0.6,0.66]	[0.6,0.8]	[0.7,0.9]	0.698	0.058 2	0.031 4	0.262
F₂₂	[0.5,0.6]	[0.6,0.62]	[0.5,0.58]	[0.5,0.7]	[0.6,0.7]	0.590	0.045 1	0.003 8	0.452
F₂₃	[0.6,0.7]	[0.6,0.8]	[0.5,0.7]	[0.5,0.6]	[0.6,0.64]	0.624	0.051 1	0.022 7	0.286
F₃₁	[0.8,0.9]	[0.8,1.0]	[0.86,0.9]	[0.7,0.8]	[0.9,1.0]	0.866	0.066 2	0.033 9	0.409
F₃₂	[0.7,0.9]	[0.9,1.0]	[0.78,0.8]	[0.8,0.9]	[0.8,0.9]	0.848	0.053 1	0.034 6	0.419
F₃₃	[0.7,0.9]	[0.9,1.0]	[0.7,0.8]	[0.8,0.9]	[0.8,1.0]	0.850	0.075 2	0.024 4	0.172
F₄₁	[0.6,0.8]	[0.7,0.9]	[0.6,0.7]	[0.7,0.8]	[0.8,1.0]	0.760	0.090 2	0.033 3	0.228
F₄₂	[0.3,0.5]	[0.4,0.6]	[0.3,0.5]	[0.4,0.5]	[0.5,0.6]	0.460	0.065 2	0.001 6	0.289
F₄₃	[0.5,0.7]	[0.4,0.6]	[0.5,0.7]	[0.6,0.7]	[0.7,0.8]	0.620	0.080 2	0.042 6	0.414
F₄₄	[0.3,0.4]	[0.3,0.5]	[0.2,0.4]	[0.3,0.4]	[0.3,0.5]	0.360	0.040 1	0.011 9	0.342
F₅₁	[0.4,0.6]	[0.5,0.7]	[0.4,0.6]	[0.5,0.7]	[0.7,0.9]	0.600	0.100 3	0.070 3	0.424
F₅₂	[0.6,0.8]	[0.6,0.8]	[0.6,0.7]	[0.5,0.7]	[0.8,0.9]	0.700	0.075 2	0.055 6	0.549
F₅₃	[0.7,0.8]	[0.6,0.8]	[0.7,0.74]	[0.7,0.9]	[0.8,1.0]	0.774	0.076 2	0.023 9	0.189

一级指标	E_x	E_n	H_e	权重
F₁	0.698	0.043 0	0.020 6	0.109
F₂	0.628	0.050 5	0.016 4	0.117
F₃	0.856	0.062 8	0.032 6	0.229
F₄	0.686	0.079 4	0.029 8	0.255
F₅	0.785	0.092 0	0.064 9	0.290

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