利用无人机系统和人工智能进行建筑屋顶维护检查的网络平台

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

International Journal of Building Pathology and Adaptation Pub Date : 2023-11-23 DOI:10.1108/ijbpa-12-2022-0186

Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira, Alisson Souza Silva

{"title":"利用无人机系统和人工智能进行建筑屋顶维护检查的网络平台","authors":"Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira, Alisson Souza Silva","doi":"10.1108/ijbpa-12-2022-0186","DOIUrl":null,"url":null,"abstract":"PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Web platform for building roof maintenance inspection using UAS and artificial intelligence\",\"authors\":\"Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira, Alisson Souza Silva\",\"doi\":\"10.1108/ijbpa-12-2022-0186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.\",\"PeriodicalId\":44905,\"journal\":{\"name\":\"International Journal of Building Pathology and Adaptation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Building Pathology and Adaptation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijbpa-12-2022-0186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Building Pathology and Adaptation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijbpa-12-2022-0186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

目的这项工作旨在开发一个用于检查屋顶结构的网络平台，以便在无人机和人工智能的支持下提供技术援助。使用的工具包括 HTML、CSS 和 JavaScript 语言；用于基础设施的 Firebase 软件；以及用于图像处理的 Custom Vision。本研究采用了设计科学研究方法，开发网络平台的主要阶段包括：（1）创建和验证屋顶检查清单；（2）验证将 Custom Vision 用作图像识别工具；以及（3）开发网络平台。研究结果自动识别结果显示，在无人机获取的屋顶图像中识别病变的准确率为 77.08%。这项研究有助于开发一个用于视觉数据收集的无人机集成屋顶平台和用于自动识别病变的人工智能，从而提高收集、处理和分析结果的效率和灵活性，保证建筑物的耐久性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Web platform for building roof maintenance inspection using UAS and artificial intelligence

PurposeThis work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.Design/methodology/approachThis study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.FindingsThe results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.Originality/valueThis study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Building Pathology and Adaptation CONSTRUCTION & BUILDING TECHNOLOGY-

CiteScore

4.80

自引率

18.20%

发文量

期刊介绍： The International Journal of Building Pathology and Adaptation publishes findings on contemporary and original research towards sustaining, maintaining and managing existing buildings. The journal provides an interdisciplinary approach to the study of buildings, their performance and adaptation in order to develop appropriate technical and management solutions. This requires an holistic understanding of the complex interactions between the materials, components, occupants, design and environment, demanding the application and development of methodologies for diagnosis, prognosis and treatment in this multidisciplinary area. With rapid technological developments, a changing climate and more extreme weather, coupled with developing societal demands, the challenges to the professions responsible are complex and varied; solutions need to be rigorously researched and tested to navigate the dynamic context in which today''s buildings are to be sustained. Within this context, the scope and coverage of the journal incorporates the following indicative topics: • Behavioural and human responses • Building defects and prognosis • Building adaptation and retrofit • Building conservation and restoration • Building Information Modelling (BIM) • Building and planning regulations and legislation • Building technology • Conflict avoidance, management and disputes resolution • Digital information and communication technologies • Education and training • Environmental performance • Energy management • Health, safety and welfare issues • Healthy enclosures • Innovations and innovative technologies • Law and practice of dilapidation • Maintenance and refurbishment • Materials testing • Policy formulation and development • Project management • Resilience • Structural considerations • Surveying methodologies and techniques • Sustainability and climate change • Valuation and financial investment