Detector for detecting outline cross section shape of bridge cable

Abstract

The invention discloses a detector for detecting the outline cross section shape of a bridge cable. The detector comprises a climbing robot, a transition sleeve, a rotary supporting seat, a rotary sleeve and a ranging sensor. The detecting object is a bridge cable cylinder, the climbing robot is located on the to-be-detected bridge cable cylinder, the transition sleeve is coaxially installed on the climbing robot by adopting two semicircles with same diameters, and the rotary supporting seat is fixedly connected with the transition sleeve. The rotary sleeve wraps a plurality of circumferentially distributed rolling columns through two semicircular structures, and the rotary sleeve can rotate positively and negatively around the bridge cable cylinder. The ranging sensor is located on the rotary sleeve and used for measuring the cross section shape of the bridge cable cylinder. The detector provided by the invention can conveniently penetrate through the to-be-detected cable and be arranged around the cable, and can rotate flexibly according to requirements. The detector fills in the gap that rotation of traditional cable movable detection cannot be achieved, cable damage detection meets the requirement for no blind angles, meanwhile cable damage detection is simple and reliable, and the detector has the great application value.

Description

technical field [0001] The invention belongs to the technical field of detection instruments, and in particular relates to a detection instrument for detecting the profile and section shape of a bridge cable. Background technique [0002] With the continuous development of urban traffic, people's demand for bridges is increasing, and steel-stayed cable bridges have been widely used due to their own advantages. Since the load-bearing structure of this bridge is mainly cables, the damage of the cables has a crucial impact on the safety of the bridge. [0003] The detection methods for bridge cable damage in the prior art mainly include: (1) taking pictures and analyzing the cables by a crawling robot. This method has great detection loopholes, and it cannot obtain accurate information on the outer cross-section of the cables in all directions. Naturally, it cannot accurately manage the health status of the cables of bridges and towers. (2) Use electromagnetic flaw detection ...

AI Technical Summary

Problems solved by technology

This method uses multiple excitation coils and detection coils to detect the magnetic flux leakage at the broken wire of the cable to detect the damage state of the cable. The fault detection of the completed cable is prone to misjudgment, especially for the damage of the cable sheath, and the rupture and deformation of the cable sheath can best reflect the health of the cable

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