Comprehensive portrait early warning method and system for railway engineering equipment unit

Abstract

The invention provides a comprehensive portrait early warning method and system for railway public work equipment units, and the method comprises the steps: obtaining the portrait data of the railway public work equipment, and integrating the portrait data of the railway public work equipment into a plurality of portrait unit data sets according to a portrait unit to which the railway public work equipment belongs; aiming at the multiple portrait unit data sets, establishing equipment characteristic indexes influencing safety factors; establishing a set equipment characteristic weight for the equipment characteristic index; according to the equipment characteristic indexes and the equipment characteristic weights, a comprehensive evaluation result of the portrait unit equipment safety state is obtained through calculation; and according to the comprehensive evaluation result of the security state of the portrait unit equipment, performing a set early warning action and/or a monitoring action. The method can be suitable for safety state evaluation and early warning of any line, any line interval and any public service equipment type, and has important significance for mastering the overall operation quality of equipment in a public service professional range, improving the operation and maintenance management efficiency of the equipment and effectively managing and controlling weak safety links.

Description

technical field [0001] The present invention relates to the technical field of railway safety, in particular to a comprehensive image warning method and system for railway public works equipment units. Background technique [0002] The safety of railway works is the top priority in the operation and maintenance of railway infrastructure. At present, there are many safety business systems related to public works, and each system has accumulated massive data resources related to safety, but it is impossible to realize system interconnection, data sharing, and comprehensive decision-making analysis of safety data. The advanced prevention and control will affect the scientific and intelligent process of public safety management. Therefore, there is an urgent need to integrate the basic ledger data, detection and monitoring data, and operation and maintenance data of public works equipment, scientifically and reasonably evaluate the operating status of equipment, effectively pre...

AI Technical Summary

Problems solved by technology

[0004] However, the existing research rarely involves the overall evaluation and early warning of a series of public works equipment included in any line interval, such as tracks, bridges, tunnels, culverts, roadbeds, and protection nets.

Images