Stress Point Monitoring Algorithm for Structure of Steel Cylinder Concrete Pipes in Large Buildings

The internal structure of steel cylinder concrete pipe in large buildings is complex. Traditionally, the safety monitoring method unable to accurately monitor situation every stress point structure. Therefore, wireless sensor network with practical value field building was introduced. A algorithm for points pipeline put forward. distribution law circumferential prestress produced by wire on core analyzed. According influencing factors, mechanical performance tube discussed, and calculating constructed. Combined nodes, a series basic hypothesis information set. Moreover, force between node analyzed virtual potential field. Based analysis centroid sensing area, structures completed. After that, rectangular area be monitored selected were established randomly. relationship coverage rate efficiency, we found that proposed had good immunity. different number radii perception angles, influence index accuracy discussed. Experimental results show sensitive change parameter. When radius angle change, maximum fluctuation range 0.08–0.99. From application effect algorithm, can see detection has obvious advantage.