Detection device

Abstract

The invention provides a detection device used for online state inspection of operating state of a crane slewing mechanism. The detection device comprises a signal sensor, a signal processing host, an upper control computer and an external triggering photoelectric sensor, wherein the signal sensor is used for detecting an acoustic emission signal of operation of the crane slewing mechanism and obtaining fault information; the signal processing host is connected with the signal sensor and is used for acquisition parameter setting, signal acquisition, feature extraction and data storage and uploading of a fault signal to the upper control computer; the upper control computer is connected with the signal processing host and is used for displaying various related data in a visual way and carrying out fault pattern discrimination and state display; and the external triggering photoelectric sensor is connected with the signal processing host and is used for accurately controlling signal acquisition opportunity and acquisition duration of the signal processing host. The detection device can effectively detect state information of the crane slewing mechanism and timely find defects and judge severity of the defects so as to timely carry out maintenance treatment. Thus, accidents of a crane can be avoided.

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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