Evaluation Index System of Green Public Open Space Based on Internet of Things and Mental Health

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jiexu Li, Faziawati binti Abdul Aziz, Ning Zhang
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引用次数: 0

Abstract

Abstract With the emergence of the IoT era, wireless sensor networks will be more and more widely used. In addition to collecting, transmitting and processing simple data such as humidity, temperature and density of the dome, they can also provide multimedia information services such as video and images. It enables more comprehensive and accurate environmental monitoring. Therefore, MSDs have a huge demand in military, daily, forestry, biomedicine and other fields. The intensive city model has obvious advantages in meeting people's diverse needs and comfortable life. Most obviously, it speeds up the rhythm of life for residents, thereby increasing efficiency and saving time. Starting from this aspect, this paper conducts a research on the evaluation index system of public built on the following areas of open space IoT and mental health. In this paper, the GRNN neural network model is constructed, the mean condition is calculated, the density function can be estimated, the network output, and the schematic diagram of the generalized regression neural network is improved. Using the established system, the index in 2018 is selected as the base year, and after transformation, the standardized values of the past years are formed, which are substituted into the cells to form different matrices. The value of each cell is counted to obtain the subsystem coordination degree, and the global coordination degree is obtained through calculation. The evaluation results of ecological civilization construction and development in 2018 and 2019, 2020 and 2021 were compared. The experimental data shows that compared with 2018, economic development will change from 1 to 2.000, social harmony will change from 1 to 2.480, ecological health will decrease to 0.850, environmental friendliness will decrease to 0.750, and comprehensive evaluation will decrease to 0.513. This shows that while the economy is developing this year, the construction of ecological civilization has been gradually carried out, and good results have been achieved. This reflects the effectiveness of the system. The subject of the evaluation index system of green public open space based on the Internet of Things and mental health has been well completed.
基于物联网与心理健康的绿色公共开放空间评价指标体系
随着物联网时代的到来,无线传感器网络将得到越来越广泛的应用。除了对穹顶的湿度、温度、密度等简单数据进行采集、传输和处理外,还可以提供视频、图像等多媒体信息服务。它使环境监测更加全面和准确。因此,MSDs在军事、日用、林业、生物医药等领域有着巨大的需求。集约型城市模式在满足人们多样化需求和舒适生活方面优势明显。最明显的是,它加快了居民的生活节奏,从而提高了效率,节省了时间。从这方面出发,本文从开放空间物联网和心理健康两个方面对构建的公众评价指标体系进行了研究。本文构建了GRNN神经网络模型,计算了均值条件,估计了密度函数,得到了网络输出,改进了广义回归神经网络的原理图。利用所建立的体系,选取2018年的指标作为基准年,经过变换后形成历年的标准化值,代入单元格形成不同的矩阵。对每个单元的值进行计数,得到子系统的协调度,通过计算得到全局的协调度。对比了2018年与2019年、2020年与2021年生态文明建设发展评价结果。实验数据显示,与2018年相比,经济发展将从1下降到2.000,社会和谐将从1下降到2.480,生态健康将下降到0.850,环境友好将下降到0.750,综合评价将下降到0.513。这说明,今年经济发展的同时,生态文明建设也在逐步开展,取得了良好的效果。这反映了该制度的有效性。基于物联网与心理健康的绿色公共开放空间评价指标体系课题已经完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
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