High-precision equipment limit detection early warning system and method based on big data

Abstract

The invention discloses a high-precision equipment clearance detection early warning system and method based on big data. The system comprises a vehicle body (1), a center console (3) arranged in the vehicle body (1), a positioning module (4) arranged at the bottom of the vehicle body (1) and a remote data processing center (6). The limit detection equipment (2) is arranged at the front end of the vehicle body (1), and the vibration compensation module (5) is arranged at the bottom of the vehicle body (1) and comprises a laser camera type sensor, a compensation camera and a gyroscope. According to the system, the gauge detection equipment (2) detects the profile data of each point of the section of the track, the positioning module (4) obtains the accurate position data at the moment, the remote data processing center (6) keeps the previous detection results of the section of the track at each position, and trackside facilities which generate tiny movement and are likely to invade the limit are automatically screened based on big data depth analysis; and comparing the limit with the limit to judge whether the limit is invaded or not, so as to pre-judge the limit invasion in advance.

Description

technical field [0001] The invention belongs to the technical field of limit detection, and more particularly, relates to a high-precision equipment limit detection and early warning system and method based on big data. Background technique [0002] Under the long-term service of urban rail transit projects such as subways and trams, the trackside structures and ancillary equipment and facilities may be deformed, loosened, or even fallen off. When a certain limit is exceeded, the safe operation of the train will be seriously endangered. In recent years, vehicle abrasions, collision accidents and interruption of operation events caused by the sliding of civil air defense doors, the falling of trackside facilities, and the intrusion of foreign objects are not uncommon. Therefore, the detection of vehicle operating space and the autonomous protection of vehicles under abnormal conditions are very important to ensure the safety of people and property. critical. [0003] For the...

AI Technical Summary

Problems solved by technology

but it cannot predict possible intrusions of the track during long-term service

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