T/WEA 023-2026 Specification for implementation of digital management in highway engineering construction
This document stipulates the general principles of data-driven management during the construction phase of highway projects, the construction data system and data collection requirements, data flow and quality control requirements, platform and interface requirements, rights and security requirements, data application and analysis requirements, and operation and maintenance and acceptance delivery requirements.
This document applies to the data-driven management activities during the construction phase of new and modified highway projects, and can serve as a technical basis for construction units, supervision units, and construction companies to carry out construction data management and application.
Highway construction projects typically involve long construction periods, multiple participating entities, and complex workflow connections, involving multiple management factors such as quality, safety, progress, cost, environmental protection, contract and payment, etc. Moreover, construction sites are characterized by strong temporal and spatial dynamics and high uncertainty. Data generated during the construction phase comes from a wide range of sources and diverse types, including process data such as measurement and layout, test and inspection, construction logs, concealed acceptance, on-site monitoring records, equipment operation, personnel attendance, material entry and exit, and image data, as well as management data such as change negotiations, payment and contract fulfillment, risk events, and rectification and closure. If these data are still managed using paper records, discrete forms, or disconnected systems, problems such as data lag, disconnected chains, inconsistent metrics, and difficult traceability may arise, directly affecting the effectiveness of project quality control, the timeliness of risk early warning, and the scientificity of management decisions.
Data-driven management in construction is a management approach that takes data as th
Publish Date: 2026-04-16