当前位置: X-MOL 学术Environ. Model. Softw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A heterogeneous key performance indicator metadata model for air quality monitoring in sustainable cities
Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2020-12-23 , DOI: 10.1016/j.envsoft.2020.104955
Lianjie Zhou , Qingquan Li , Wei Tu , Chisheng Wang

Due to heterogeneous and inconsistent key performance indicators (KPIs) for the quantitative evaluation of a sustainable city's operational status, it is a great challenge to share multidimensional, multi-source and heterogeneous indicators. We propose a heterogeneous KPI capability representation model (HKPM) in our study. Based on the Meta Object Facility architecture, a nine-tuple multi-hierarchical meta-model is formulated to define the metadata components. Nine specific representation element datasets for specific KPIs are proposed to represent the meta-model. Besides, the KPI classification based on Sustainable Development Goals (SDGs) has been accomplished to support HKPM instantiated in concrete application. Experiments are conducted with the multi-type KPIs to validate the feasibility of HKPM, as shown in public service and Air Quality Index KPI instantiation example. Furthermore, the KPIs can be characterized in different dimensions, which can be modelled in a stereoscopic manner, promoting a comprehensive perception of sustainable cities.



中文翻译:

用于可持续城市空气质量监测的异构关键绩效指标元数据模型

由于对可持续城市的运行状态进行定量评估的关键绩效指标(KPI)不一致且不一致,因此共享多维,多来源和异构指标是一个巨大的挑战。我们在研究中提出了异构KPI能力表示模型(HKPM)。基于元对象工具架构,制定了一个九元多层次元模型来定义元数据组件。提出了针对特定KPI的九个特定表示元素数据集来表示元模型。此外,已经完成了基于可持续发展目标(SDG)的KPI分类,以支持在具体应用中实例化的HKPM。针对多种类型的KPI进行了实验,以验证HKPM的可行性,如公共服务和空气质量指数KPI实例所示。此外,KPI可以以不同的维度来表征,可以以立体方式建模,从而促进对可持续城市的全面理解。

更新日期:2021-01-13
down
wechat
bug