Open AccessAutomating the Generation of Construction Checklists
Author(s) -
Hubo Cai,
JungHo Jeon,
Xin Xu,
Yuxi Zhang,
Yang Liu
Publication year - 2020
Language(s) - English
Resource type - Reports
DOI - 10.5703/1288284317273
Subject(s) - documentation , software inspection , quality assurance , notice , field (mathematics) , quality (philosophy) , process (computing) , computer science , software engineering , engineering , component (thermodynamics) , systems engineering , construction engineering , software , software quality , operations management , software development , programming language , philosophy , physics , external quality assessment , mathematics , epistemology , law , political science , pure mathematics , thermodynamics
Construction inspection is a critical component of INDOT’s quality assurance (QA) program. Upon receiving an inspection notice/assignment, INDOT inspectors review the plans and specifications to identify the construction quality requirements and conduct their inspections accordingly. This manual approach to gathering inspection requirements from textual documents is time-consuming, subjective, and error-prone. This project addresses this critical issue by developing an inspection requirements database along with a set of tools to automatically gather the inspection requirements and provide field crews with customized construction checklists during the inspection with the specifics of what to check, when to check, and how to check, as well as the risks and the actions to take when noncompliance is encountered. This newly developed toolset eliminates the manual effort required to acquire construction requirements, which will enhance the efficiency of the construction inspection process at INDOT. It also enables the incorporation of field-collected data to automate future compliance checking and facilitate construction documentation.