Hyundai Engineering is accelerating the digital transformation of construction sites by enhancing its smart quality management system utilizing artificial intelligence (AI) and big data. The company plans to integrate the entire quality management process—from concrete pouring to curing and crack management—into a single system to improve construction quality and operational efficiency.
On November 5, Hyundai Engineering announced that it will expand the capabilities of its self-developed smart integrated inspection system, Q-Pocket, to cover all areas of quality management. The system will enhance collaboration features, allowing stakeholders such as clients, supervisors, contractors, and partners to share relevant information in real time.
Q-Pocket, a mobile and web-based quality management system developed by Hyundai Engineering in 2021, enables digital handling of on-site quality management tasks, including inspection and testing planning, material inspection, and concrete crack management.
Notably, if defects are discovered during construction, reports can be generated immediately on-site, linking verification and corrective actions with partners. Hyundai Engineering has patented this technology, establishing a non-contact, paperless quality management system.
The core of this system enhancement is the introduction of the concrete quality management system, QCON v3.
Since developing QCON v1 in 2018, which allowed mobile input of concrete inspection results, Hyundai Engineering has added features to monitor the real-time status of ready-mixed concrete truck shipments and evaluate quality by supplier.
QCON v2 incorporated big data technology for predicting concrete strength.
The newly launched QCON v3 integrates weather forecast data from the Korea Meteorological Administration to establish concrete pouring plans based on temperature and rainfall. It improves accuracy in curing management under low-temperature conditions and integrates defect and crack management functions into the mobile system.
This allows for the entire process—from concrete pouring planning to ready-mixed concrete production and shipment control, curing management, defect verification, compressive strength testing, and crack management—to be handled within a single system.
Q-Pocket also includes a defect management feature that links concrete material separation and rebar exposure status, as well as a menu for managing products produced using off-site construction (OSC) methods.
Additionally, AI-based intelligent character recognition (ICR) technology has been applied, enabling quality managers to photograph handwritten notes for automatic data registration.
Hyundai Engineering is also working to disseminate its technology externally. In August, it signed a usage agreement with Soft Zion for three QCON-related patents, allowing the construction industry to utilize the technology.
Q-Pocket has been registered in the 'Smart Construction Technology Yard,' a technical data sharing system under the Ministry of Land, Infrastructure and Transport, and has advanced to the finals in the smart technology category of the '2026 Smart Construction Challenge' for complexes and housing.
Hyundai Engineering plans to continuously improve AI-based analytical functions and on-site data utilization systems, expanding the smart quality management system to all construction sites.
Transitioning from individually managed quality control data at each construction site to an integrated data management system is expected to help systematically manage defect occurrence histories and corrective actions.
A Hyundai Engineering official stated, "Since developing the industry's first smart integrated quality management system, Q-Pocket, and applying it to on-site operations, we have systematized the entire quality management process through continuous upgrades and technology development. We will continue to enhance AI-based analytical functions and on-site data utilization systems to broaden the application of smart quality management technology and strive for 100% on-site implementation."
* This article has been translated by AI.
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