DESIGN OF A FIREPROOFING SPRAY ROBOT BASED ON QUALITY FUNCTION DEPLOYMENT

Fireproofing spray works are critical for protecting the structural integrity of steel frames during fires, yet they present challenges related to worker safety and construction quality.While robotic automation has been explored to mitigate these risks, most existing robotic systems have focused on technical feasibility, overlooking user-centered design.This study applies the Quality Function Deployment (QFD) methodology to systematically incorporate user requirements into the conceptual design of a fireproofing spray robot.Twelve customer requirements were identified through expert interviews and field observations, and fifteen technical characteristics were derived through functional decomposition.A correlation and contradiction analysis was conducted to examine interdependencies and trade-offs among these characteristics.Based on the results, three design alternatives were proposed: a lightweight and modular structure, a sensor optimization-focused configuration, and an integrated material feeder system.The study demonstrates that applying QFD enables the alignment of technical specifications with practical field needs, thereby enhancing the robot's applicability in construction environments and supporting future commercialization.