Bridge crack real-time monitoring and quick pre-warning device

Abstract

The invention discloses a bridge crack real-time monitoring and quick pre-warning device which comprises binocular vision sensors, loudspeakers, safety railings and a monitoring system. The lower portion of the bridge face between every two piers of a bridge is provided with a combined binocular vision sensor part, the binocular vision sensors are arranged on the top of a bridge protective handrail at intervals, information collecting results of all combined binocular vision sensor parts and the binocular vision sensors are transmitted to a monitoring main machine remotely in a wireless mode, the two ends of the bridge are respectively provided with one safety railing, and each safety railing is provided with one loudspeaker. The bridge crack real-time monitoring and quick pre-warning device can monitor and judge the size of a crack of the bridge and the dangerous level of the crack in real time, and can monitor sudden enlargement of the small crack in real time so as to enable vehicles on the bridge to pass or stop, and the ability to monitor and prewarn sudden dangers is improved.

Description

technical field [0001] The invention relates to the field of bridge monitoring, in particular to a real-time monitoring and rapid early warning device for bridge cracks. Background technique [0002] Concrete is the most widely used building material in building frames. Modern scientific research and application of concrete shows that cracks cannot be avoided in bridges with concrete material structures. At present, the detection of this danger is mostly in the manual stage. Usually, close-range detection instruments are used to enlarge the crack and then detect the width. The length of the crack is obtained by inaccurate measurement or estimation. This method requires the detection personnel to rely on the road. Inspection or manual inspection is carried out regularly with manual equipment, which requires high work intensity, high inspection costs, and high requirements for personnel safety; and although small cracks in the bridge part that meet the concrete crack limit st...

AI Technical Summary

Problems solved by technology

At present, the detection of this danger is mostly in the manual stage. Usually, close-range detection instruments are used to enlarge the crack and then detect the width. The length of the crack is obtained by inaccurate measurement or estimation. This method requires the detection personnel to rely on the road. Inspection or manual inspection is carried out regularly with manual equipment, which requires high work intensity, high inspection costs, and high requirements for personnel safety; and although small cracks in the bridge part that meet the concrete crack limit standards are found during manual inspection, after a period of time, The change of cracks has not been paid attention to. When the harsh environment and load increase suddenly change, the cracks will suddenly expand when the small cracks are subjected to instantaneous strong pressure, and serious consequences will be caused due to the inability to detect in real time and quickly warn

There are three main types of existing bridge automatic detection: one is based on ultrasonic detection technology, but the position recognition of the target crack is inaccurate, and it is greatly affected by environmental factors and has large errors; the other is based on monocular vision detection technology, which can only obtain two Three-dimensional coordinate information cannot be obtained; the third is to install a binocular vision system on a manually carried mobile device, but only one set of binocular vision is used, which consumes a lot of manpower and material resources, and the detection time is long and the efficiency is low

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