室内空气污染检测评价系统的AHP算法设计

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Informatica Pub Date : 2023-05-30 DOI:10.31449/inf.v47i3.3932

Wen Fan, Chengyang Chang, Ning Yao, Linxue Xu, Hongyan Ju

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引用次数: 0

摘要

为了提取对室内空气质量的描述，需要获取室内污染物的浓度并进行评价。针对现有的室内空气质量监测与评价系统，提出了一种用于室内空气污染检测与评价系统设计的AHP算法，该算法结合模糊数学的原理和方法对密闭环境下的空气质量进行评价。利用层次分析法进行了权重分配实验。根据最大隶属原则，通过模糊数学模型对密闭环境空气质量进行了综合评价。实验结果表明，温度为25℃时湿度值可达54% RH，温度为19℃时湿度值可达60% RH。评价结果更科学地反映了空气质量的真实状况。

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AHP Algorithm for Indoor Air Pollution Detection and Evaluation System Design

In order to extract a description of indoor air quality, the concentration of indoor pollutants needs to be obtained and then evaluated. Aiming at the existing indoor air quality monitoring and evaluation system, an AHP algorithm for the design of indoor air pollution detection and evaluation system is proposed, which combines the principles and methods of fuzzy mathematics to evaluate air quality in a confined environment. An experiment was carried out, using the analytic hierarchy process to assign weights. According to the principle of maximum subordination, comprehensive evaluation of air quality in a confined environment was carried out through fuzzy mathematical model. The experimental results show that the humidity value reached 54% RH when the temperature was 25°C, and the humidity value reached 60% RH when the temperature was 19°C. The evaluation results more scientifically reflect the true state of air quality.

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来源期刊

Informatica 工程技术-计算机：信息系统

CiteScore

5.90

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.