Method for processing data used for assessing railway transport capacity

Abstract

The invention discloses a method for processing data used for assessing railway transport capacity. The method includes: extracting data from data sources and mapping the extracted data to a first XML (extensive markup language) file; mapping each element in the first XML file to be a type corresponding to one of built-in data types of an XML Schema to acquire a second XML file; setting manifestation types of elements in the second XML file; according to the second XML file and the set manifestation types, generating a third XML file used for exchanging. A data processing system can acquire data from the third XML file to perform computational evaluation on the railway transport capacity. With the method, more accurate railway transport capacity evaluation results can be acquired with less manpower and time consumption, whole automation of works of label checking, calibrating and the like of railway is beneficially realized, and a good foundation can be laid for railway transport capacity.

Description

technical field [0001] The invention relates to the field of railway transportation, in particular to a method for processing data used to evaluate railway transportation capacity. Background technique [0002] The research on the calculation and enhancement of the transportation capacity of existing railway lines involves the most essential issues of how much and how to transport railway transportation, so it has always been a hot spot in academic research. In terms of capacity calculation, a very important topic is how to accurately, Calculate and evaluate the capacity utilization of transportation stations and sections in a timely manner, as well as the standard operating time of various basic operations, so as to confirm the effect of transportation organization, find weak links in existing equipment and work organization, and then take appropriate capacity expansion measures to tap the potential The purpose of improving efficiency. [0003] Judging from the existing re...

AI Technical Summary

Problems solved by technology

However, since the data formats/types recorded by different data acquisition systems are different, and the recorded data formats/types are not compatible with the data formats/types required by the calculation model, and the collected raw data may also be removed as needed Abnormal data and other operations, so it still requires a lot of manual labor to extract the required data from the collected inform

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