PyWindAM: A Python software for wind field analysis and cloud-based data management

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-10-01 DOI:10.1016/j.softx.2024.101914

Nanxi Chen, Rujin Ma, Baixue Ge, Haocheng Chang

引用次数: 0

Abstract

Given the substantial influence of wind loading on the structural performance of long-span bridges, continuous monitoring of wind field characteristics in their vicinity is paramount. PyWindAM is purpose-built web server software meticulously designed to simplify comprehensive wind data analysis and efficient management derived from on-site measurements. The software automates the retrieval of raw data from hardware devices and employs vector decomposition to extract essential wind parameters, including mean wind speed, wind direction, turbulence intensity, and more, from data collected at multiple measurement points. These critical wind parameters are securely stored in the InfluxDB database hosted on the server. In terms of user-friendliness, InfluxDB itself provides an intuitive interface, facilitating convenient data visualization and efficient management for researchers and technicians engaged in wind field analysis and structural safety assessments.

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PyWindAM：用于风场分析和云端数据管理的 Python 软件

鉴于风荷载对大跨度桥梁结构性能的重大影响，对其附近的风场特征进行持续监测至关重要。PyWindAM 是一款专门设计的网络服务器软件，旨在简化综合风数据分析和有效管理现场测量数据。该软件可自动检索硬件设备上的原始数据，并采用矢量分解技术从多个测量点收集的数据中提取重要的风力参数，包括平均风速、风向、湍流强度等。这些重要的风力参数被安全地存储在服务器上托管的 InfluxDB 数据库中。在用户友好性方面，InfluxDB 本身提供了一个直观的界面，为从事风场分析和结构安全评估的研究人员和技术人员提供了便捷的数据可视化和高效的管理。

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

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.