Steel rail overhaul decision support method based on artificial intelligence

Abstract

The invention discloses a steel rail overhaul decision support method based on artificial intelligence, and the method comprises the specific steps: S1, collecting feature data related to steel rail overhaul, and carrying out the preprocessing of the collected feature data; S2, substituting the processed light and heavy injury characteristics into an injury judgment formula to obtain a key influence factor F; S3, substituting the processed vertical grinding and side grinding damage characteristics into a damage judgment formula to obtain a secondary influence factor S; S4, substituting the processed steel rail year characteristics into a year discrimination formula to obtain a historical factor H; S5, introducing the key influence factor F, the secondary influence factor S and the historical factor H into a formula to obtain a rail changing grade; S6, substituting the rail changing grade of each section into a formula to calculate to obtain rail changing trend change data; and S7, substituting the rail change trend change data of each section into a formula and summing to obtain a rail change interval. According to the steel rail overhaul decision-making method based on multi-source data fusion, the rail changing interval is intelligently recommended, the previous fixed mode of one-time cutting is changed, more scientific and reasonable decision-making reference bases are provided, accurate rail changing is achieved, and reasonable utilization of resources is promoted.

Description

technical field [0001] The invention relates to the field of railway rail maintenance and data analysis technology, in particular to a method for calculating a rail overhaul interval. Background technique [0002] Steel rails are one of the main technical equipment of railways, the basis of driving safety, and are responsible for important transportation tasks. With the development of high-speed and heavy-duty railways, the travel tasks continue to increase, and the traffic density increases. The rails are under huge operating pressure, the fatigue aging speed is accelerated, the service life is seriously reduced, and there are safety risks. In order to avoid safety accidents, the railway department conducts overhaul or replacement of the rails by judging whether the rails have been in service for 10 years or whether the total load exceeds 700 million tons. The actual aging of the rails is affected by the geographical environment, rail location, load distribution, etc. Affe...

AI Technical Summary

Problems solved by technology

With the development of high-speed and heavy-duty railways, the travel tasks continue to increase, and the traffic density increases. The rails are under huge operating pressure, the fatigue aging speed is accelerated, the service life is seriously reduced, and there are safety risks.

In order to avoid safety accidents, the railway department conducts overhaul or replacement of the rails by judging whether the rails have been in service for 10 years or whether the total load exceeds 700 million tons. The actual aging of the rails is affected by the geographical environment, rail location, load distribution, etc. Affected by many factors, this "one size fits all" basis for overhaul has resulted in a large number of rails with frequent fatigue damage but less than 10 years of age or less than 700 million tons of load. It is impossible to achieve precise rail replacement, and it will also cause waste of resources.

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