Construction inspection plays a critical role to ensure the quality and long-term performance of infrastructure. The current construction inspection practice at state transportation agencies (STAs) in the United States, which requires inspectors to manually gather and personally interpret the construction requirements from standard specifications, is subjective, error-prone, and time-consuming. This paper presents an intelligent database approach to automatically generate customized checklists of construction requirements at the pay item level. The proposed approach consists of three components: (1) identification of the functional requirements by consulting with the end users, (2) development of a construction inspection knowledge model via ontology to guide the database design, and (3) devising mechanisms to automate the generation of customized construction checklists for the work under inspection with all the necessary details in relation to what, when, and how to check, as well as the risks and actions when noncompliance is encountered. Specifically, the following functions now can be performed within the new system: (1) automatic generation of a customized checklist at the pay item level; (2) access to a checklist display that aligns with the repetitive/cyclical nature of construction workflows; (3) navigation between cross-referenced check items; (4) subgroupings based on responsibility, risk level, and inspection frequency; and (5) real-time links to training materials such as photos, videos, textual documents, and websites. This newly developed tool is currently being implemented and is expected to greatly reduce the workload for inspectors and enhance the effectiveness of the construction inspection process.

施工检查对于确保基础设施的质量和长期性能起着至关重要的作用。美国国家运输机构（STA）当前的施工检查惯例要求检查员手动收集并亲自根据标准规格解释施工要求，这是主观的，容易出错的且耗时的。本文提出了一种智能数据库方法，可以自动生成付款项目级别的自定义施工要求清单。提议的方法包括三个部分：（1）通过与最终用户协商确定功能需求；（2）通过本体开发建筑检查知识模型以指导数据库设计；（3）设计机制以自动生成针对检查中的工程的定制施工清单，其中包括与检查什么，何时，如何检查以及遇到违规时的风险和措施有关的所有必要详细信息。具体而言，现在可以在新系统中执行以下功能：（1）在付款项目级别自动生成定制清单。（2）访问与建筑工作流程的重复性/周期性相吻合的清单显示；（3）在相互参照的检查项目之间导航；（4）根据责任，风险等级和检查频率分组；（5）实时链接到培训材料，例如照片，视频，文本文档和网站。