CN113865893A - Method and device for evaluating reliability of curve passing performance of railway wagon - Google Patents
Method and device for evaluating reliability of curve passing performance of railway wagon Download PDFInfo
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Abstract
The application relates to a method, a device, computer equipment, a system and a storage medium for evaluating reliability of curve passing performance of a railway wagon. The method comprises the following steps: acquiring curve passing performance ground monitoring data of the target type rail wagon in a regular inspection period; obtaining the scheduled inspection information of the target type railway wagon; matching curve passing performance ground monitoring data and regular inspection information of the rail wagons of the target category according to the wagon numbers to obtain curve passing performance data and corresponding application time of each rail wagon; performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; and performing reliability evaluation through the performance reliability sample according to the curve to obtain the reliability index of the target type railway wagon. By adopting the method, the reliability of the curve passing performance of the railway wagon of the target category can be accurately evaluated.
Description
Technical Field
The application relates to the technical field of reliability evaluation, in particular to a method, a device, computer equipment, a system and a storage medium for evaluating reliability of curve passing performance of a railway wagon.
Background
A railway wagon is a typical mechanical system, and when a curve section runs at a high speed, the occurrence of a railway wagon derailment event is easily caused due to insufficient curve passing performance. Therefore, the reliability evaluation of the curve passing performance has important significance on the operation safety, design, manufacture, overhaul period and standard specification of the railway train. However, the reliability of the curve passing performance of the conventional railway wagon is evaluated through a vehicle curve passing performance test, and due to the problems of small number of evaluated samples, unstable result, high cost and the like, the reliability of the curve passing performance of the railway wagon cannot be accurately evaluated.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device, a system and a storage medium for evaluating reliability of curve passing performance of a railway wagon, which can accurately evaluate the reliability of the curve passing performance of the railway wagon.
In a first aspect, a rail wagon curve passing performance reliability assessment method is provided, and the method comprises the following steps:
acquiring curve passing performance ground monitoring data of a target type railway wagon in a regular inspection period from a vehicle curve passing performance ground monitoring center server; the curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon; the curve passing performance data comprises the transverse force, the derailment coefficient, the wheel load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon;
obtaining the scheduled inspection information of the target type railway wagon from the railway wagon technology management system; the scheduled inspection information comprises scheduled inspection time of the railway wagon;
matching curve passing performance ground monitoring data and regular inspection information of the rail wagons of the target category according to the wagon numbers to obtain curve passing performance data and corresponding application time of each rail wagon; the operation time refers to the operation time of the railway wagon in the regular inspection period;
obtaining a curve passing performance reliability sample of the target type railway wagon according to the curve passing performance data of each railway wagon; the curve passing performance reliability sample comprises failure evaluation data and application time; the failure evaluation data is used for evaluating whether the railway wagon reaches a wagon curve passing performance failure evaluation standard or not;
and performing reliability evaluation through the performance reliability sample according to the curve to obtain the reliability index of the target type railway wagon.
In one embodiment, the step of performing reliability evaluation through the performance reliability samples according to the curves to obtain the reliability index of the target category of railway wagon comprises: establishing a Weibull distribution function according to the curve passing performance reliability sample; and carrying out reliability evaluation according to the Weibull distribution function to obtain the reliability index of the target type truck.
In one example, the step of establishing a Weibull distribution function from the curve through the performance reliability samples comprises:
a weibull distribution function is established based on the following expression:
wherein F (t) is a Weibull distribution function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; t is the running time.
In one embodiment, the reliability assessment includes a parameter point estimate and a confidence interval estimate.
In one embodiment, the reliability indicator includes a reliability distribution function, a reliability life function, a failure rate function, a reliability confidence lower limit, and a reliability life confidence lower limit.
In a second aspect, a reliability assessment device for curve passing performance of a railway wagon is provided, and the device comprises a first acquisition module, a second acquisition module, a data matching module, a sample generation module and a reliability assessment module;
the system comprises a first acquisition module, a second acquisition module, a first monitoring module and a second monitoring module, wherein the first acquisition module is used for acquiring curve passing performance ground monitoring data of a target type railway wagon in a regular inspection period from a vehicle curve passing performance ground monitoring center server; the curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon; the curve passing performance data comprises the lateral force, the derailment coefficient, the wheel load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon. The second acquisition module is used for acquiring the scheduled inspection information of the target type railway wagon from the railway wagon technology management system; the scheduled inspection information includes scheduled inspection time of the rail wagon. The data matching module is used for matching curve passing performance ground monitoring data and regular inspection information of the target type railway wagon according to the wagon number to obtain curve passing performance data and corresponding application time of each railway wagon; the operation time refers to the operation time of the railway wagon in the scheduled inspection period. The sample generation module is used for carrying out curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; the curve passing performance reliability sample comprises failure evaluation data and application time; the failure evaluation data is used to evaluate whether the rail wagon meets a wagon curve passing performance failure evaluation criterion. And the reliability evaluation module is used for carrying out reliability evaluation on the performance reliability samples according to the curves to obtain the reliability indexes of the target type railway wagon.
In one embodiment, the reliability evaluation module comprises a distribution function establishing unit and a reliability index generating unit.
The distribution function establishing unit is used for establishing a Weibull distribution function according to the curve passing performance reliability sample. And the reliability index generating unit is used for carrying out reliability evaluation according to the Weibull distribution function to obtain the reliability index of the target type truck.
In a third aspect, a computer device is provided, the computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above method embodiments when executing the computer program.
In a fourth aspect, a rail wagon curve passing performance reliability evaluation system is provided, which comprises a vehicle curve passing performance ground monitoring station, a vehicle curve passing performance ground monitoring center server and the computer device in the third aspect;
the vehicle curve passing performance ground monitoring center server is connected with the vehicle curve passing performance ground monitoring station, is used for monitoring curve passing performance ground monitoring data, and is also used for uploading the curve passing performance ground monitoring data to the vehicle curve passing performance ground monitoring center server. The vehicle curve is connected with the computer equipment through the performance ground monitoring center server and used for storing curve passing performance ground monitoring data uploaded by the vehicle curve passing performance ground monitoring station.
In a fifth aspect, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the above-described method embodiments.
In the method, the device, the computer equipment, the system and the storage medium for evaluating the reliability of curve passing performance of the rail wagon, curve passing performance ground monitoring data of the rail wagon in a target category in a regular inspection period is obtained from a vehicle curve passing performance ground monitoring center server; then, obtaining the scheduled inspection information of the target type railway wagon from the railway wagon technology management system; secondly, matching curve passing performance ground monitoring data and regular inspection information of the rail wagons of the target category according to the wagon number to obtain curve passing performance data and corresponding application time of each rail wagon; and performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; and finally, performing reliability evaluation according to the curve through the performance reliability sample to obtain the reliability index of the target type railway wagon. Based on the method, the curve passing performance reliability sample of the target type railway wagon is obtained by performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon, so that the sample size of the railway wagon curve passing performance reliability evaluation is large and accords with the actual application condition of the railway wagon; and the reliability index of the target type railway wagon can be obtained by performing reliability evaluation on the curve passing performance reliability sample, so that the reliability of the curve passing performance of the target type railway wagon is accurately evaluated, and the cost of the reliability evaluation of the curve passing performance of the railway wagon is reduced.
Drawings
FIG. 1 is a schematic flow chart of a method for evaluating the reliability of the performance of a rail wagon curve passing through according to one embodiment;
FIG. 2 is a flowchart illustrating the steps of performing a reliability assessment on a performance reliability sample according to a curve to obtain a reliability index of a target class of rail wagon according to an embodiment;
FIG. 3 is a block diagram of a device for evaluating the reliability of curve passing performance of a railway wagon according to an embodiment;
FIG. 4 is a block diagram of a reliability assessment module in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment;
FIG. 6 is a block diagram of a rail wagon curve passing performance reliability assessment system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, a method for evaluating the reliability of the curve passing performance of a rail wagon is provided, which is illustrated in the present embodiment as being applied to a computer device. In this embodiment, the method includes the following steps 102 to 110.
102, acquiring curve passing performance ground monitoring data of the target type rail wagon in a regular inspection period from a vehicle curve passing performance ground monitoring center server.
The vehicle curve passing performance ground monitoring center server is used for storing curve passing performance ground monitoring data uploaded by the vehicle curve passing performance ground monitoring station. The curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon. The curve passing performance data comprises the lateral force, the derailment coefficient, the wheel load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon. Specifically, the target category of railway wagon refers to any category of railway wagon for monitoring curve passing performance through a vehicle curve passing performance ground monitoring station. The scheduled inspection period refers to a period in which the target type railway freight car needs to be periodically overhauled according to relevant regulations. The periodic inspection period can be flexibly set according to requirements in practical application, and is not limited herein.
And 104, acquiring the scheduled inspection information of the target type railway wagon from the railway wagon technology management system.
The scheduled inspection information comprises scheduled inspection time of the target type railway wagon; the scheduled inspection time of the target type rail wagon comprises the target scheduled inspection time of the target type rail wagon; the target regular inspection time refers to the time for regular maintenance which is carried out at the latest time from the monitoring time corresponding to the condition that the target type railway wagon passes through the vehicle curve and passes through the performance ground monitoring station.
And 106, matching the curve passing performance ground monitoring data and the scheduled inspection information of the target type railway wagon according to the wagon number to obtain the curve passing performance data and the corresponding application time of each railway wagon.
Wherein, the operation time refers to the operation time of the railway wagon in the scheduled inspection period. In one embodiment, the service time is the difference between the target scheduled inspection time corresponding to each rail wagon and the corresponding monitoring time in the curve passing performance ground detection data. The computer equipment can perform matching processing according to the train number of each railway wagon and the curve passing performance ground monitoring data and the scheduled inspection information of the target type railway wagon, so that the curve passing performance data and the corresponding application time of each railway wagon are obtained.
And 108, performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon.
Wherein the curve passing performance reliability samples comprise failure assessment data and operating time. The failure assessment data may assess whether the rail wagon meets wagon curve passing performance failure assessment criteria. And after the computer equipment carries out curve passing performance failure evaluation on the curve passing performance data of each railway wagon obtained after matching processing, obtaining a curve passing performance reliability sample of the target type railway wagon according to a result corresponding to the curve passing performance failure evaluation of each railway wagon.
And 110, performing reliability evaluation according to the curve passing performance reliability sample to obtain a reliability index of the target type railway wagon.
And the computer equipment adopts a random truncation data processing algorithm to carry out reliability evaluation on the curve passing performance reliability sample of the target type railway wagon, so as to obtain a corresponding reliability index of the target type railway wagon.
In the method for evaluating the curve passing performance reliability of the railway wagon, curve passing performance ground monitoring data of the railway wagon in a target category in a regular inspection period is obtained from a vehicle curve passing performance ground monitoring center server; then, obtaining the scheduled inspection information of the target type railway wagon from the railway wagon technology management system; secondly, matching curve passing performance ground monitoring data and regular inspection information of the rail wagons of the target category according to the wagon number to obtain curve passing performance data and corresponding application time of each rail wagon; and performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; and finally, performing reliability evaluation according to the curve through the performance reliability sample to obtain the reliability index of the target type railway wagon. Based on the method, the curve passing performance reliability of the rail wagon is evaluated according to the curve passing performance data of each rail wagon to obtain the curve passing performance reliability sample of the target type rail wagon, so that the sample size of the rail wagon curve passing performance reliability evaluation is large and accords with the actual operating conditions of the rail wagon; and the reliability index of the target type railway wagon can be obtained by performing reliability evaluation on the curve passing performance reliability sample, so that the reliability of the curve passing performance of the target type railway wagon is accurately evaluated, and the cost of the reliability evaluation of the curve passing performance of the railway wagon is reduced.
In one embodiment, as shown in fig. 2, the step of performing reliability evaluation through the performance reliability samples according to the curve to obtain the reliability index of the target category of railway freight cars includes:
The computer device may establish a weibull distribution function from the curve through the performance reliability samples. Wherein the Weibull distribution function may be, but is not limited to, a three parameter Weibull distribution function. In one example, the step of establishing a Weibull distribution function from the curve through the performance reliability samples comprises:
a weibull distribution function is established based on the following expression:
wherein F (t) is a Weibull distribution function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; t is the running time; the expression is that of a three-parameter weibull distribution function.
And step 202, performing reliability evaluation according to the Weibull distribution function to obtain a reliability index of the target type truck.
And the computer equipment can carry out reliability evaluation according to the established Weibull distribution function so as to obtain the reliability index of the target class truck. In one embodiment, the reliability assessment includes a parameter point estimate and a confidence interval estimate. In one embodiment, the reliability indicator includes a reliability distribution function, a reliability life function, a failure rate function, a reliability confidence lower limit, and a reliability life confidence lower limit.
In a specific example, when the established weibull distribution function is a three-parameter weibull distribution function, a significance test may be performed based on an expression of the three-parameter weibull distribution function, taking a significance level α of 0.1; if the expression of the three-parameter Weibull distribution function is not true, the assumed rejection region should be larger than a certain value; if the test statistic time t falls within the reject domain, the functional relationship corresponding to the expression of the three-parameter Weibull distribution function is significant.
And performing parameter point estimation based on the expression of the three-parameter Weibull distribution function to obtain a corresponding reliability distribution function, a reliability service life function and a fault rate function.
The reliability distribution function is expressed as:
wherein R (t) is a reliability distribution function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; t is the running time.
Therefore, the variation trend of the curve passing performance reliability of the target type railway wagon along with the running time span can be obtained according to the expression of the reliability distribution function, and the reliability values of the target type railway wagon in different running time spans can be calculated.
The reliability life function is expressed as:
wherein t (R) is a reliability lifetime function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; r is reliability.
Therefore, when the reliability of the target type railway wagon is a certain value, the curve passing performance reliability service life of the target type railway wagon can be calculated according to the expression of the reliability service life function.
The fault rate function is expressed as:
wherein λ (t) is a fault rate function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; t is the running time.
Therefore, the change trend of the corresponding probability along with the travel time span when the curve passing performance of the target type rail wagon is insufficient can be obtained according to the expression of the fault rate function.
And performing confidence estimation based on an expression of the three-parameter Weibull distribution function, and selecting the confidence degree gamma of 95 percent to obtain the corresponding confidence lower limit of the reliability degree and the confidence lower limit of the reliable service life.
The reliability confidence lower limit is expressed as:
wherein, R (t)' is the confidence lower limit of the reliability;
is an estimate of a location parameter;
is an estimated value of the proportional parameter;
is an estimate of the shape parameter; t is the running time.
From the above expression of the confidence lower limit of the reliability, it can be calculated that when the confidence is γ equal to 95%, the confidence lower limit of the reliability of the curve passing performance of the target type rail wagon in a certain time span is obtained.
The confidence lower limit of the reliable life is expressed as:
wherein t (R)' is the reliability lifetime confidence lower limit;
is an estimate of a location parameter;
is an estimated value of the proportional parameter;
is an estimate of the shape parameter; r is reliability.
From the above expression of the confidence lower limit of the reliable life, it can be calculated that when the confidence is γ equal to 95%, the curve of the target type railway wagon when the reliability is a certain limit value passes through the performance-reliable life. In addition, as long as the amount of the sample data is large enough for the reliability of curve passing performance, the dispersion of the confidence estimation results is small, and therefore, the parameter point estimation results and the confidence limit results are relatively close. The above is only a specific example, and the practical application can be flexibly set according to requirements, and is not limited herein.
It should be understood that although the various steps in the flow charts of fig. 1-2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 3, a rail wagon curve passing performance reliability assessment apparatus is provided, which includes a first obtaining module 310, a second obtaining module 320, a data matching module 330, a sample generation module 340, and a reliability assessment module 350;
the first obtaining module 310 is configured to obtain curve passing performance ground monitoring data of a target type rail wagon in a scheduled inspection period from a vehicle curve passing performance ground monitoring center server; the curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon; the curve passing performance data comprises the lateral force, the derailment coefficient, the wheel load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon. The second obtaining module 320 is configured to obtain the scheduled inspection information of the rail wagon of the target category from the rail wagon technology management system; the scheduled inspection information includes scheduled inspection time of the rail wagon. The data matching module 330 is used for matching curve passing performance ground monitoring data and regular inspection information of the rail wagons of the target category according to the wagon numbers to obtain curve passing performance data and corresponding application time of each rail wagon; the operation time refers to the operation time of the railway wagon in the scheduled inspection period. The sample generation module 340 is configured to perform curve passing performance failure evaluation according to the curve passing performance data of each rail wagon to obtain a curve passing performance reliability sample of the target category rail wagon; the curve passing performance reliability sample comprises failure evaluation data and application time; the failure evaluation data is used to evaluate whether the rail wagon meets a wagon curve passing performance failure evaluation criterion. The reliability evaluation module 350 is configured to perform reliability evaluation on the performance reliability samples according to the curves to obtain reliability indexes of the target category of rail wagons.
In one embodiment, as shown in fig. 4, the reliability evaluation module 350 includes a distribution function establishing unit 351 and a reliability index generating unit 352.
The distribution function establishing unit 351 is configured to establish a weibull distribution function according to the curve passing performance reliability sample. The reliability index generation unit 352 is configured to perform reliability evaluation according to the weibull distribution function to obtain a reliability index of the target category truck.
The specific definition of the device for evaluating the curve passing performance reliability of the railway wagon can be referred to the definition of the method for evaluating the curve passing performance reliability of the railway wagon in the foregoing, and the detailed description is omitted here. The railway wagon curve passing through each module in the performance reliability evaluation device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device 500 is provided, the computer device 500 may be a terminal, and the internal structure thereof may be as shown in fig. 5. The computer device 500 includes a processor, memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device 500 includes a nonvolatile storage medium, an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device 500 is used for performing wired or wireless communication with an external terminal, and the wireless communication may be implemented by WIFI, an operator network, NFC (near field communication), or other technologies. The computer program is executed by a processor to implement a rail wagon curve passing performance reliability assessment method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, the computer device comprising a memory storing a computer program and a processor implementing the steps of any of the above method embodiments when the processor executes the computer program.
In one embodiment, as shown in fig. 6, a rail wagon curve passage performance reliability assessment system is provided, which includes a vehicle curve passage performance ground monitoring station 610, a vehicle curve passage performance ground monitoring center server 620, and a computer device 500.
The vehicle curve passing performance ground monitoring station 610 is connected with the vehicle curve passing performance ground monitoring center server 620, and is used for monitoring curve passing performance ground monitoring data and uploading the curve passing performance ground monitoring data to the vehicle curve passing performance ground monitoring center server 620. In one embodiment, the vehicle curve passes through a detection platform disposed on the railway track by a performance ground monitoring station 610, and the dynamic monitoring curve passes through performance ground monitoring data, which currently covers all major railway trunks.
The vehicle curve passing performance ground monitoring center server 620 is connected to the computer device 500 and is used for storing curve passing performance ground monitoring data uploaded by the vehicle curve passing performance ground monitoring station 610.
In an embodiment, a computer-readable storage medium is provided, having stored thereon a computer program, which when executed by a processor, carries out the steps of any of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A rail wagon curve passing performance reliability assessment method is characterized by comprising the following steps:
acquiring curve passing performance ground monitoring data of a target type railway wagon in a regular inspection period from a vehicle curve passing performance ground monitoring center server; the curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon; the curve passing performance data comprises the transverse force, the derailment coefficient, the wheel weight load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon;
obtaining the scheduled inspection information of the rail wagon of the target category from a rail wagon technology management system; the scheduled inspection information comprises scheduled inspection time of the railway wagon;
matching the curve passing performance ground monitoring data and the scheduled inspection information of the target type railway wagon according to the wagon number to obtain the curve passing performance data and the corresponding application time of each railway wagon; the operation time refers to the operation time of the railway wagon in the scheduled inspection period;
performing curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; the curve passing performance reliability sample comprises failure evaluation data and the operation time; the failure evaluation data is used for evaluating whether the railway wagon reaches a wagon curve passing performance failure evaluation standard or not;
and performing reliability evaluation through the performance reliability sample according to the curve to obtain the reliability index of the target type railway wagon.
2. The method of claim 1, wherein said step of performing a reliability assessment from said curve by means of performance reliability samples to obtain a reliability indicator for said target class of rail wagons comprises:
establishing a Weibull distribution function according to the curve passing performance reliability sample;
and performing reliability evaluation according to the Weibull distribution function to obtain the reliability index of the target type truck.
3. The method of claim 2, wherein the step of establishing a weibull distribution function from the curve through performance reliability samples comprises:
establishing the Weibull distribution function based on the following expression:
wherein F (t) is the Weibull distribution function; t is t0Is a position parameter; eta is a proportional parameter; beta is a shape parameter; t is the running time.
4. The method of claim 1, wherein the reliability assessment comprises a parameter point estimate and a confidence interval estimate.
5. The method of claim 1, wherein the reliability indicators comprise a reliability distribution function, a reliability lifetime function, a failure rate function, a reliability confidence lower limit, and a reliability lifetime confidence lower limit.
6. A rail wagon curve passage performance reliability evaluation device, characterized by comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring curve passing performance ground monitoring data of a target type railway wagon in a regular inspection period from a vehicle curve passing performance ground monitoring center server; the curve passing performance ground monitoring data comprises the train number, the monitoring time and the curve passing performance data of the railway wagon; the curve passing performance data comprises the transverse force, the derailment coefficient, the wheel weight load shedding rate, the speed, the axle weight, the total weight, the passing curve radius and the accumulated traveling mileage of the railway wagon;
the second acquisition module is used for acquiring the scheduled inspection information of the rail wagon of the target category from the rail wagon technology management system; the scheduled inspection information comprises scheduled inspection time of the railway wagon;
the data matching module is used for matching the curve passing performance ground monitoring data and the scheduled inspection information of the target type railway wagon according to the wagon number to obtain the curve passing performance data and the corresponding application time of each railway wagon; the operation time refers to the operation time of the railway wagon in the scheduled inspection period;
the sample generation module is used for carrying out curve passing performance failure evaluation according to the curve passing performance data of each railway wagon to obtain a curve passing performance reliability sample of the target type railway wagon; the curve passing performance reliability sample comprises failure evaluation data and the operation time; the failure evaluation data is used for evaluating whether the railway wagon reaches a wagon curve passing performance failure evaluation standard or not;
and the reliability evaluation module is used for carrying out reliability evaluation on the performance reliability samples according to the curves to obtain the reliability indexes of the target type railway wagon.
7. The apparatus of claim 2, wherein the reliability assessment module comprises:
the distribution function establishing unit is used for establishing a Weibull distribution function according to the curve passing performance reliability sample;
and the reliability index generating unit is used for carrying out reliability evaluation according to the Weibull distribution function to obtain the reliability index of the target type truck.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 5.
9. A rail wagon curve passage performance reliability evaluation system, characterized in that a vehicle curve passage performance ground monitoring station, a vehicle curve passage performance ground monitoring center server and the computer device of claim 8;
the vehicle curve passing performance ground monitoring station is connected with the vehicle curve passing performance ground monitoring center server, is used for monitoring curve passing performance ground monitoring data, and is also used for uploading the curve passing performance ground monitoring data to the vehicle curve passing performance ground monitoring center server;
the vehicle curve passing performance ground monitoring center server is connected with the computer equipment and used for storing curve passing performance ground monitoring data uploaded by the vehicle curve passing performance ground monitoring station.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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