Locomotive traction calculation model calibration method based on actual operation data

Abstract

The invention provides a locomotive traction calculation model calibration method based on actual operation data. The locomotive traction calculation model calibration method is based on sequences such as manipulation gears, running speed and the like which are offline obtained from locomotive running original data, a locomotive traction calculation model is constructed by a reverse fitting method, and the accuracy of the model is verified via a forward direction verification mode. During constructing the locomotive traction calculation model, firstly, the locomotive traction and braking force are obtained based on locomotive log records, afterwards, converted resistance is obtained according to LKJ basic data or circuit constructing data, on the basis, then corresponding sequences between speed and force are obtained according to a prediction equation, and then a locomotive traction calculation model is obtained by a fitting mode. The locomotive traction calculation model of the invention, based on the actual operation data fitting, can better adapt to onsite complex circuit environment, reduces the statistical error and combines reverse fitting with forward direction verification, thereby being able to better guarantee the adaptability and accuracy of the model.

Description

technical field [0001] The invention relates to locomotive traction calculation technology, in particular to a locomotive traction calculation model calibration method based on actual operation data. Background technique [0002] The train traction calculation takes the longitudinal motion of the railway train as the calculation object, and focuses on the traction and braking conditions of unsteady motion, so it involves train formation conditions, rolling stock traction and braking devices, line conditions, and driver manipulation. It is a complex system engineering problem due to various factors such as methods. The train traction calculation model mainly includes the traction calculation and braking calculation of train operation, and the accuracy of the model directly relates to the transportation capacity and operation safety of the railway. [0003] The existing train traction calculation models are mainly divided into two types: single-mass-point traction calculation...

AI Technical Summary

Problems solved by technology

The multi-mass model can not only calculate the overall force of the train, but also calculate the longitudinal force between the train vehicles. Therefore, the force analysis of the multi-mass train model is more complicated

[0006] The above-mentioned single-mass traction calculation model has relatively large limitations, such as limited calculation functions, it cannot accurately simulate the traction and braking operation of the actual train, it cannot accurately calculate the longitudinal section of the line, and it cannot correctly reflect the actual braking deceleration changes of the train , the precise calculation of the longitudinal dynamics of the train cannot be performed, etc.

In addition to the advantages of fast calculation speed and high precision, the current multi-mass traction calculation model is widely used. However, the existing train traction calculation models are basically obtained through experiments based on standards such as train traction calculation regulations. Because they are based on the characteristics of the running locomotive The change is obtained through experiments. The standard train traction calculation model will give a certain safety threshold, which is not accurate enough. At the same time, due to the small amount of actual data in the experiment, it is not accurate enough to meet the complex line environment and statistical errors on site.

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