Self-moving rail transit three-dimensional scanning system

Abstract

The invention discloses a self-moving rail transit three-dimensional scanning system which comprises a moving vehicle, a data acquisition system, an inertial navigation system and a time synchronization system; the data acquisition system is used for acquiring real-time state data of a rail, transmitting the real-time state data to a central processing system, receiving an instruction transmittedby the central processing system and executing a corresponding action according to the instruction; an inertial navigation system is used for acquiring navigation position data of the mobile vehicle and transmitting the navigation position data to the central processing system; the central processing system is used for receiving the real-time state data transmitted by the data acquisition system and the navigation position data transmitted by the inertial navigation system, analyzing the real-time state data and the navigation position data, generating an instruction according to an analysis result, and transmitting the instruction to the mobile vehicle; and the time synchronization system is used for providing time service for the system and synchronizing time. The inertial navigation system, the central processing system, the time synchronization system and the data acquisition system are integrated on the mobile vehicle, each sensor acquires data of multiple tracks at one time and processes the data to generate a required track detection result, and the measurement efficiency is high.

Description

technical field [0001] The invention belongs to the technical field of rail transit comprehensive detection, in particular to a self-moving three-dimensional scanning system for rail traffic. Background technique [0002] With the development of high-speed railway and urban rail transit, the demand for line detection is increasing. At present, the detection needs of high-speed rail and urban rail transit mainly include absolute track coordinate measurement, line boundary detection, tunnel structure section detection, platform spacing detection, catenary status monitoring, gauge measurement, superelevation measurement, and ancillary equipment ownership investigation. [0003] The traditional detection method is to detect each detection content one by one by measuring equipment such as total station, track ruler, laser rangefinder, etc. The detection efficiency is low, the field work is complicated, the data processing is cumbersome, and the detection cost is high. [0004] V...

AI Technical Summary

Problems solved by technology

[0006] 1. The mobile vehicle-mounted 3D scanning system is too large, heavy, and inconvenient to carry, and cannot meet the needs of daily inspection and monitoring;

[0007] 2. In the process of 3D scanning measurement, the railway / urban rail operation department is required to provide tractors and flatbed vehicles, which is difficult to cooperate and the measurement cost is high;

[0008] 3. Most of the mobile vehicle-mounted 3D scanning systems are produced abroad and can only be purchased and imported. The related communication interfaces, data interfaces, and software development interfaces are not open, and the software functions provided by the mobile vehicle-mounted 3D scanning systems are single, which cannot meet the needs of railways. / detection and monitoring requirements of urban rail;

[0009] 4. The mobile vehicle-mounted 3D scanning system is based on the positioning of the POS system. The positioning accuracy is affected by the GNSS signal. When in a tunnel, the positioning accuracy will be reduced due to the loss of the GNSS signal, and the system synchronization disorder will not be suitable for tunnel measurement.

Images