The Study Of Feature Recognition During The Standard Section Installation Of Tower

In recent years, tower cranes installation and removal process is accident-prone areas, so the safety monitoring system on a tower crane installation and removal process is imperative.This is the first time that tower crane safety monitoring of the demolition process using machine vision technology program, there are some steps of this program:the camera is installed on the top of shelves, the computer complete automatic identification of the instructions of the specific characteristics (including the image characteristics and operating characteristics), design the order of appearance of the specific characteristics according to the safe operation of the tower crane, cause alarm or cut off the power of the unsafe direction when a particular characteristic is found in the wrong order or human error, to ensure the installation and removal process is strictly according to the set of safe operation, thereby enhancing the safety of the installation and removal process.This paper design the curve of the specific environment in the image pre-processing power over time, the power-based image preprocessing bitmap method can improve the adaptability to adapt the light, improve the stability of the recognition result, and achieve the purpose of automatically adjust the powerThe key technology in the monitoring technology program is designing a bitmap-based model of feature recognition algorithm. The algorithm mainly uses the sixth, seventh, eighth bitmap of grayscale image to construct background image, by processing the difference between the foreground image and background image and mathematical morphology to split the characteristics of the target. The bitmap algorithm does not need too much complex mathematical calculation, so identifying the target to achieve the purpose is fast, and segmentation of the goal of identifying characteristics is more accurate, this can reduce the data processing capabilities of front-end equipment.As the connecting bolts and jacking beams to the standard section of the tower crane and the pin of the object of study, use MATLAB to analyze bolts under different light and different weather conditions, and the target location of the bolts and pin under different light conditions, this proves that the bitmap can effectively eliminate the light as well as the standard section of mottled shadows. On the basis of bitmap method to identify the characteristics of the target, the paper made a bolt position normalized value time curve. The oscillation amplitude of the curve in the experiment remained at less than 10%, and the result verifies the correctness of the algorithm and the power curve, the algorithm can meet the practical qualitative judgment accuracy.The bitmap method proposed improve the speed of target identification in complex background characteristics, shorten the time of the overall monitoring and analysis of the target, location is accurate, and provides the necessary conditions to do mechanical devices to monitor real-time monitoring, and improves tower crane safety.