基于模糊评价的融合权重污染度评估方法
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中国民航大学电子信息与自动化学院 天津 300300

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X502;V351.32;TP69

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天津市自然科学基金(17JCYBJC18200)、中国交通教育研究会交通教育科学研究课题(JTYB20-138)、中国民航大学试验技术创新基金(2020CXJJ92)项目资助


Pollution grade evaluation by fusion weight based on fuzzy evaluation method
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College of Electronics Information and Automation, Civil Aviation University of China,Tianjin 300300, China

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    摘要:

    为准确地评估助航灯具发光口污染状况,本文考虑不同污染物对清洗难度的影响,提出基于模糊评价的融合权重污染度评估方法。使用逆差距作为污染物区分标准,对图像分块以实现一帧图像中不同污染物的区分;通过模糊评价融合主观和客观权重,并据此确定污染度评估细则;通过清洗实验对本评估方法进行验证。按本文评估等级进行清洗实验,清洗率达93%,证明本文所使用方法科学有效。面积法和熵值法至少分别会造成32%和29%的资源浪费。本文方法考虑污染物种类区分及污染主客观影响,评估结果更加科学准确。

    Abstract:

    To accurately assess pollution status of the surface of luminescent port for navigation-aid lamps, this paper considers the impact of different pollutants on the difficulty of cleaning and proposes a pollution grade assessment method based on fusion weight method by fuzzy evaluation. The homogeneity was used as the discrimination standard to distinguish different pollutants in the blocked image. Fusion of subjective and objective weights through fuzzy evaluation, according to which the calculation formula of pollution degree was determined. Cleaning experiment was conducted on polluted samples according to the pollution grade method of this paper, and the cleaning rate is 93%. And the area method and entropy method will cause at least 32% and 29% waste of resources respectively. The area method does not consider the different cleaning difficulties of different pollutants. The pollution degree evaluation method proposed in this paper can distinguish pollutants and consider the subjective and objective influence of pollution assessment, which means the evaluation results are more scientific and accurate.

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董慧芬,薛寒冰.基于模糊评价的融合权重污染度评估方法[J].电子测量技术,2023,46(7):24-31

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  • 在线发布日期: 2024-02-18
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