Drone-based AI crack management solution. /Courtesy of POSCO E&C

POSCO E&C is building next-generation residential services by using artificial intelligence (AI) technology. A representative technology is a smart home service that uses robots. Robots link with home appliances and home platforms to integrate the management of residents' convenience, safety and health.

In apartment complexes completed by POSCO E&C, service robots that handle promotion and guidance have been introduced in community spaces. By improving robot-only APIs and platforms that span both the inside of homes and shared spaces, the company is realizing a future-oriented, robot-friendly residential environment.

Smart home technology that saves energy by analyzing residents' patterns based on big data has also been applied to The Sharp. POSCO E&C analyzes actual residential energy-use data from residents with big data to provide energy-saving solutions optimized for each household. There is also a smart energy report service that alerts users to energy overconsumption through real-time monitoring and guides the optimal indoor temperature. Through an intelligent home network system that prevents unnecessary energy waste, it supports an eco-friendly and economical smart home life.

POSCO E&C is also applying AI technology to construction sites. The company is automating the derivation of data for Zero Energy Building (ZEB) performance analysis by using AI. This technology has artificial intelligence automatically extract and analyze complex design data required for ZEB certification from drawings. The aim is for AI to process the vast amount of architectural information—previously calculated manually one by one—quickly and accurately to maximize work efficiency. An AI-based automatic review system enables verification of greener building performance with greater precision and reliability.

POSCO E&C is also using Multimodal AI at the design stage. Artificial intelligence simultaneously analyzes various types of design materials—images, text and numbers—and automatically generates design review reports. When an AI agent performs integrated reasoning on complex ground engineering drawings and calculation sheets, it can dramatically improve design precision and work speed. A POSCO E&C official said, "By preemptively blocking design errors or omissions that can occur due to human mistakes, we further strengthen the safety of construction projects."

Use of AI is also expanding in safety management. POSCO E&C is building a real-time safety monitoring network by using AI drones that simultaneously recognize sound and video to patrol blind spots at construction sites. When a hazardous situation occurs, the system immediately broadcasts multilingual safety announcements for foreign workers, implementing accident-prevention measures without language barriers. AI also detects and warns in real time of collision risks between heavy equipment such as excavators and workers, preventing serious industrial accidents at sites.

POSCO E&C has also applied in the field a technology in which drones photograph fine cracks and defects on apartment exterior walls that are hard for people to access, and AI precisely detects them. Through high-resolution image analysis, AI automatically detects not only cracks but also risk factors such as exposed rebar at a rapid speed of within 15 seconds per image. This overcomes the limits of visual inspections and systematically manages the durability and safety of buildings based on objective data.

In addition, the company is using smart quality-control technology that reads and predicts in real time the quality condition of ready-mixed concrete before pouring through AI video analysis. AI automatically calculates the slump and moisture content of concrete in its unhardened state to ensure consistency in construction quality. A POSCO E&C official said, "Through data-driven scientific management, we can move away from methods that relied on the experience of skilled workers and achieve construction of structures that are stronger and safer."

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