Detection device

Abstract

The invention provides a detection device for on-line state detection of the operating state of the slewing mechanism of the crane, including a signal sensor for detecting the acoustic emission signal of the operation of the slewing mechanism of the crane and obtaining fault information; a signal processing host, and signal The sensor connection is used to collect parameter settings, signal collection, feature extraction and data storage, and upload the fault signal to the upper control computer; the upper control computer is connected to the signal processing host for visual display of various related data It also performs failure mode discrimination and status display, externally triggers the photoelectric sensor, and connects with the signal processing host to precisely control the signal acquisition timing and sampling time of the signal processing host. The detection device of the invention can effectively detect the state information of the slewing mechanism of the crane, find defects in time and judge the severity of the defects, so as to be able to repair and deal with them in time and avoid accidents of the crane.

Description

technical field [0001] The invention relates to the technical field of acoustic emission detection equipment, in particular to a detection device. Background technique [0002] As one of the key equipment, cranes are widely used in logistics transportation, metallurgy, manufacturing, construction, municipal construction and other industries. From the perspective of safety, both the lifting equipment body and the use link are more dangerous than other special equipment. According to the accident case data collected by the General Administration of Quality Supervision, Inspection and Quarantine in recent years, it can be seen that the accident rate and the number of casualties caused by cranes have always been the highest among the eight categories of special equipment; crane accidents account for about 20% of the total number of accidents in all industrial enterprises. Therefore, the safe operation of hoisting machinery is crucial to the protection of people's lives and prop...

AI Technical Summary

Problems solved by technology

Most of the slewing bearing devices adopt a closed structure, and its operating conditions cannot be directly observed from the inside. This structural type determines that it is very difficult to identify and deal with faults on the slewing bearing.

Once a failure occurs, it will cause huge economic losses to the production of the enterprise

Faults or failures during simultaneous operation may also lead to catastrophic casualties and adverse social impacts

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