Crane detection system and method based on vision and vibration

Abstract

The invention discloses a crane detection system and method based on vision and vibration, and relates to the field of special equipment detection. The system comprises: a head-mounted detection device equipped with a high-definition camera and used for carrying out visual information acquisition on the operation condition of a first indication measuring point of a crane; a magnetic type acceleration sensor used for acquiring a vibration signal of a second indication measuring point of the crane; a data collector used for acquiring visual information and the vibration signal and preprocessingthe visual information and the vibration signal to obtain preprocessed detection data; and a remote server used for acquiring the preprocessed detection data and processing the preprocessed detectiondata according to a machine learning algorithm to generate a crane detection report. Remote inspection of the crane by supervisors can be realized, potential safety hazards are prevented, and safe operation of the crane is ensured.

Description

technical field [0001] The invention relates to the field of special equipment detection, in particular to a crane detection system and method based on vision and vibration. Background technique [0002] As a common special equipment, cranes are often used in many fields such as transportation, electric power, construction, shipbuilding and ports, and play an irreplaceable role in the development of social construction. However, due to the complex mechanical structure of cranes, their safety has always been the focus Focus on topics. The detection, evaluation and supervision of its safety state is an important means to ensure the safety of the crane. Usually, the supervisory department will conduct regular inspections on special equipment according to national inspection specifications. At present, the inspection methods for hoisting machinery are still relatively traditional. Usually, the supervision department needs to manually go to the site for inspection. This method ...

AI Technical Summary

Problems solved by technology

At present, the inspection methods for hoisting machinery are still relatively traditional. Usually, the supervision department needs to manually go to the site for inspection. This method is not only time-consuming and labor-intensive, but also due to the vast area under supervision and the large number of cranes to be inspected, it is difficult to be comprehensive and detailed. The inspection of modern methods is urgently needed for remote testing, intelligent analysis and evaluation

Images