Construction and research of intelligent building automation model based on improved non-destructive testing technology

Abstract In building inspection, traditional non-destructive testing methods have problems such as low efficiency and low accuracy. To improve the performance of non-destructive testing in buildings and achieve intelligent building automation testing, this study proposes an improved non-destructive testing technology. This technology uses a phased array ultrasonic field to control and focus the sound beam of ultrasonic testing, improving the efficiency of ultrasonic testing and enabling it to be applied in higher complexity building environments, thereby enhancing detection accuracy. The experiment showed that the proposed improved non-destructive testing technology had a sound time that was 2.5 us lower than the theoretical value, with an average absolute error of 0.00082 V, and a deviation of 0.9 kHz between the spectral peak and energy peak and the theoretical value. When testing building material samples, the proposed technology could accurately identify the ultrasonic state of different defects and has certain feasibility. Meanwhile, by focusing and deflecting sound waves through phased array ultrasonic fields, more accurate feature extraction has been achieved, which can effectively distinguish the sound wave states of different defects. Overall, the proposed technology can effectively carry out intelligent building automation testing, improve the accuracy and efficiency of non-destructive testing, and provide new improvement methods and research directions for building non-destructive testing.