Rail transit operation safety online real-time monitoring and early warning management cloud platform based on artificial intelligence

Abstract

The invention discloses a rail transit operation safety online real-time monitoring and early warning management cloud platform based on artificial intelligence. The platform comprises a region division module, an image acquisition module, an image preprocessing module, a turnout model detection module, a switch rail contact area detection module, an orbital transfer speed detection module, an orbital transfer dynamic transverse stress detection module, a wheel set inner side distance detection module, a modeling analysis server, a database, a management server, an early warning module and a display terminal. Through real-time detection of the running speed, the transverse stress borne by a railway turnout, the wheel set inner side distance and the contact area of a switch rail and a slide plate during rail transfer when a train passes through the railway turnout of each detection sub-region, a rail transfer safety influence coefficient is analyzed, and the safety condition of each detection sub-region during rail transfer can be visually displayed. The safety detection efficiency and accuracy during rail transfer of the train are improved, the labor cost is reduced, and the use safety of the railway turnout is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of rail transit monitoring, and in particular relates to an artificial intelligence-based online real-time monitoring and early warning management cloud platform for rail transit operation safety. Background technique [0002] With the rapid development of high-speed railway at any time, the safety of railway operation has become more and more the key to personal safety and economic development. The vibration and impact generated when the train passes through the railway switch for track change will inevitably cause safety problems of the railway switch. For example, when the train changes track, the speed is too fast or the inner distance of the wheel set is too large, which may cause the train to derail. In order to ensure the safety and smoothness of railway transportation and improve operational efficiency, it is necessary to monitor the health status of the railway in real time. [0003] Since the exist...

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Problems solved by technology

[0003] Since the existing railway track detection method is artificially inspected at a certain time interval, the detection area cannot be close to the detection personnel, especially when there are many railway switch points to be detected, it is necessary to equip different detection personnel for different detection points. , it will bring great inconvenience to the inspectors and increase the cost of inspection. The manual inspection method also has the problem that real-time inspection cannot be achieved. And manual detection will cause errors in the detection data due to human factors, and the accuracy cannot be guaranteed

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