Method for calculating spring pad addition amount of axle box of motor train unit, server and storage medium

Abstract

The application provides a motor train unit axle box spring pad adding amount calculation method, a server and a storage medium. First, weight data of a train, static pressure data of a bogie and a current pad adding amount of an axle box spring are acquired. Then, according to the weight data, the static pressure data, the current pad adding amount and a prediction model established in advance, a prediction value of the axle box spring height of the train when the train is dropped is determined. Finally, according to the prediction value, an optimal pad adding amount of the axle box spring is determined. The height of the axle box spring after the train is dropped is predicted according to known train test data, and then the optimal pad adding amount is determined according to the prediction value, so that a repair plan is made before the train dropping process is performed, the pad adding amount of the axle box spring is adjusted, the qualified rate of one-time train dropping is improved, and the repair frequency is reduced.

Claims

1. A method for calculating the amount of shims needed for axle box springs in high-speed trains, characterized in that, include: Acquire the train's weight data, bogie static pressure data, and the current shim amount of the axle box springs; Based on the weight data, the static pressure data, the current padding amount, and the pre-established prediction model, determine the predicted value of the axle box spring height of the train when it is unloaded. Based on the predicted value, determine the optimal shim amount for the axle box spring; The expression for the prediction model is: h 预测 =h 静压 +[(F 静压 -F 实际 ) / 2 / (G 轮重 -G 簧下 / 4)]*(h 静压 - λ +a)+b Among them, h 预测 h is the predicted value. 静压 F represents the height of the hydrostatic axle box spring obtained from the bogie hydrostatic test. 静压 F is the static load obtained from the bogie static load test. 实际 The load G is obtained by weighing the four corners of the vehicle. 轮重 G is the static wheel load obtained from the bogie static pressure test. 簧下 This refers to the unsprung weight of the bogie. λ The current padding amount is denoted as a, and a and b are preset parameters determined based on historical vehicle drop data.

2. The method for calculating the amount of shims needed for axle box springs in high-speed trains according to claim 1, characterized in that, The method further includes: Given multiple sets of preset parameters, obtain historical vehicle landing data; The historical vehicle drop data is preprocessed, and the preprocessed historical vehicle drop data is input into the prediction model corresponding to each set of preset parameters to obtain the historical prediction value corresponding to each set of preset parameters. Based on the historical predicted values ​​corresponding to each set of preset parameters and the actual values ​​of the axle box spring height recorded in the historical data, a set of preset parameters is selected from the multiple sets of preset parameters as the optimal preset parameters for the prediction model.

3. The method for calculating the amount of shims needed for axle box springs in a high-speed train according to claim 1, characterized in that, The method further includes: Obtain historical vehicle drop data; Based on the historical vehicle landing data and the pre-established optimization model, the optimal preset parameters of the prediction model are determined by iterating through all the values ​​of the preset parameters. The input to the optimization model is historical vehicle drop data, and the output of the optimization model is the historical predicted value obtained from the historical vehicle drop data and the prediction model.

4. The method for calculating the amount of shims needed for axle box springs in a high-speed train according to claim 1, characterized in that, Determining the optimal shim amount for the axle box spring based on the predicted value includes: When the predicted value meets the preset conditions, the current shim amount is adjusted, and the process jumps to the step of obtaining the train's weight data, bogie static pressure data, and the current shim amount of the axle box spring, until the predicted value does not meet the preset conditions, at which point the jump stops. The current padding amount corresponding to when the probability of exceeding the limit is not greater than the preset threshold is taken as the optimal padding amount.

5. The method for calculating the amount of shims needed for axle box springs in a high-speed train according to claim 4, characterized in that, When the predicted value meets the preset conditions, adjusting the current padding amount includes: Using the predicted value as the mean, a normal distribution curve is established within the preset axle box spring height range; The probability of exceeding the limit is determined based on the first preset limit value and the normal distribution curve; When the probability of exceeding the limit is greater than a preset threshold, the current padding amount is adjusted.

6. The method for calculating the amount of shims needed for axle box springs in a high-speed train according to claim 4, characterized in that, When the predicted value meets the preset conditions, adjusting the current padding amount includes: When the predicted value is greater than the second preset limit value, the current padding amount is adjusted.

7. The method for calculating the amount of shims needed for axle box springs in a high-speed train according to any one of claims 1-6, characterized in that, After adjusting the current padding amount, the method further includes: The weight data and the static pressure data are updated based on the adjusted current padding amount.

8. A server comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for calculating the amount of padding for axle box springs of a high-speed train as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method for calculating the amount of padding for axle box springs of a high-speed train as described in any one of claims 1 to 7.

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