CN113139242B - Online evaluation method and device for EMU pressure conversion valve performance - Google Patents

Abstract

The invention provides an online evaluation method and device for the performance of an EMU pressure conversion valve. The method includes: establishing a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory; and obtaining the operation time of the EMU. The output pressure setting value of the pressure conversion valve output by the brake controller is obtained through the discrete model; the actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve are collected according to the discrete model when the EMU is running. The model is updated in real time; static indicators of the performance of the pressure conversion valve are extracted based on the relationship between the pressure input and pressure output of the pressure conversion valve reflected by the updated discrete model; dynamic indicators of the pressure conversion valve are obtained when the EMU is running; based on the static indicators, dynamic The performance of the pressure change valve is evaluated online using indicators and fault data related to the pressure change valve collected during train operation. The present invention can improve the accuracy of pressure conversion valve performance evaluation results.

Description

Online evaluation method and device for EMU pressure conversion valve performance

Technical field

The invention relates to the technical field of rail train braking systems, and in particular to an online evaluation method and device for the performance of an EMU pressure conversion valve.

Background technique

The pressure conversion valve plays a role in flow amplification in the train braking system. Figure 1 shows the symbol of the pressure conversion valve in the air path of the braking system. The arrow in the figure represents the flow direction of the gas. The output C pressure (brake cylinder pressure) changes according to a certain proportion according to the change of the input Cv pressure. The proportional value between the two can be switched high and low through the T port pressure. When the train is running at high speed, port T has input pressure, and port C outputs low brake cylinder pressure to ensure that the braking force does not exceed the adhesion limit. In addition, due to the existence of the valve core return spring, during the rising and falling processes of the output C pressure of the pressure conversion valve, there is a certain difference in the output C pressure when the input Cv pressure is the same (that is, the pressure conversion valve has hysteresis characteristics). Therefore, the relationship between the pressure conversion valve output C pressure P _c and the input Cv pressure P _cv can be represented by the linear fitting set {P _cv = k _hu · P _c + b _hu , P _cv = k _hd in the brake control software ·P _c +b _hd , P _cv ＝k _lu ·P _c +b _lu , P _cv ＝k _ld ·P _c +b _ld }, where {k _hu , k _hd , k _lu , k _ld }, {b _hu , b _hd , b _lu , b _ld } respectively represent the fitting slope and intercept of the four working conditions of high pressure/rise, high pressure/fall, low pressure/rise, and low pressure/fall.

The performance evaluation of the pressure conversion valve should mainly reflect the performance shown in the process of using the pressure conversion valve to realize its function. Therefore, the pressure relationship between the Cv port and the C port during the pressure conversion process of the pressure conversion valve should be used as a data source to evaluate the performance of the pressure conversion valve. On this basis, the performance indicators are extracted and evaluated.

Existing EMU pressure conversion valve performance evaluation methods mostly use simulation or offline testing. The simulation method uses software such as AMESim to establish a pneumatic model of the pressure conversion valve. By changing the values of component parameters such as spring stiffness, piston assembly mass, orifice and pipeline size, different charging and exhausting conditions are simulated to predict the pressure conversion valve. performance. The offline test method usually requires the construction of proprietary test equipment to conduct air tightness tests, staged filling and discharge tests and other tests on the pressure conversion valve on the actual vehicle to evaluate the performance of the pressure conversion valve. Although these two methods can obtain evaluation results, they are both offline and static methods, so it is difficult to conduct timely and effective evaluation of the performance of the dynamic pressure conversion valve of the actual vehicle. Since the actual operation of EMUs pays more attention to the reliability and effectiveness of the pressure conversion valve, it is necessary to conduct online, continuous, and long-term evaluations, and deal with them promptly when performance degradation or abnormal phenomena are discovered. Therefore, the existing pressure conversion valve performance evaluation method is difficult to accurately evaluate the pressure conversion valve, and thus cannot make judgments on actual operating vehicles, and cannot achieve online health prediction and fault management of train braking system components.

Contents of the invention

In view of the problems in the prior art, the present invention provides an online evaluation method and device for the performance of the pressure conversion valve of an EMU, which can evaluate the performance of the pressure conversion valve online and improve the accuracy of the pressure conversion valve evaluation results.

In order to solve the above technical problems, the present invention provides the following technical solutions:

In a first aspect, the present invention provides an online evaluation method for the performance of an EMU pressure conversion valve, including:

Based on the relationship between the input pressure and output pressure measured when the pressure conversion valve leaves the factory, a discrete model of the pressure conversion valve is established;

Obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model;

The discrete model is updated in real time according to the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running;

Extract static indicators of the performance of the pressure conversion valve according to the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model;

Obtain the dynamic indicators of the pressure conversion valve when the EMU is running; conduct an online evaluation of the pressure conversion valve performance based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation.

Wherein, the static indicators of the performance of the pressure conversion valve are extracted based on the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model, including:

Fit the data points composed of pressure input and pressure output in the discrete model through the least squares method to obtain a fitting straight line, and determine the fitting slope, fitting intercept and fitting mean square error of the fitting straight line;

The abnormal points in the discrete model of the pressure conversion valve are determined based on the collected actual input pressure and the actual output pressure of the pressure conversion valve, and the proportion of abnormal points in the discrete model of the pressure conversion valve is determined based on the abnormal points.

Among them, the online evaluation of the performance of the pressure change valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation includes:

Static-level evaluation results and dynamic-level evaluation results respectively obtained by weighted summation processing based on the static indicators and the dynamic indicators;

Determine the performance online evaluation result of the pressure conversion valve according to the static stage evaluation result and the dynamic stage evaluation result;

Among them, the static indicators include: fitting slope, fitting intercept, fitting mean square error and abnormal point proportion; the dynamic indicators include: brake cylinder pressure difference time ratio when EMU emergency braking is applied, EMU emergency The brake cylinder pressure difference time ratio during braking relief and the number of output pressure fluctuations of the EMU pressure change valve; the pressure change valve related fault data is used to update the weight values of the static indicators and dynamic indicators; the weight of the static indicators It refers to the weighted value in the process of weighted summation of static indicators; the weight of dynamic indicators refers to the weighted value in the process of weighted summation of dynamic indicators.

Furthermore, it also includes:

Determine the various working conditions of the EMU pressure change valve and the static stage evaluation results under each working condition;

The static working condition level assessment results of the EMU are determined based on the static level assessment results under each working condition.

Furthermore, it also includes:

The vehicle-level evaluation result of the EMU is determined based on the static working-level evaluation result and the dynamic-level evaluation result.

Furthermore, it also includes:

Determine the vehicle-level assessment results of each component vehicle of each EMU, and determine the train-level assessment results based on the vehicle-level assessment results.

Furthermore, it also includes:

Determine the corresponding train-level evaluation results of each train, and determine the product-level evaluation results based on the evaluation results of each train level.

In a second aspect, the present invention provides an online evaluation device for the performance of an EMU pressure conversion valve, including:

The discrete model module is used to establish a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory;

The calculation module is used to obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model;

An update module, used to update the discrete model in real time based on the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running;

An indicator module configured to extract static indicators of the performance of the pressure conversion valve based on the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model;

An evaluation module is used to obtain dynamic indicators of the pressure conversion valve when the EMU is running; perform online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation.

In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the EMU pressure conversion is realized. Steps in the method for online evaluation of valve performance.

In a fourth aspect, the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the online evaluation method for the performance of the EMU pressure conversion valve are implemented.

It can be seen from the above technical solution that the present invention provides an online evaluation method and device for the performance of the pressure conversion valve of an EMU, and establishes a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory. ; Obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model; According to the collected actual input pressure of the pressure conversion valve when the EMU is running, the actual The output pressure and the output pressure set value are updated in real time on the discrete model; a static indicator of the performance of the pressure conversion valve is extracted according to the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model; and the static index of the pressure conversion valve performance is obtained; Dynamic indicators of the pressure conversion valve when the EMU is running; perform an online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and the relevant fault data of the pressure change valve collected during train operation. The present invention can evaluate the performance of the pressure conversion valve online, improves the accuracy of the pressure conversion valve evaluation results, has better real-time performance and better economy, can be directly applied to actual operating trains, and has better scalability.

Description of the drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are: For some embodiments of the present invention, those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 shows the symbol of the pressure conversion valve in the air circuit of the brake system.

Figure 2 is a schematic flowchart of an online evaluation method for EMU pressure conversion valve performance in an embodiment of the present invention.

Figure 3 is a schematic diagram of the performance classification evaluation framework in the online evaluation method for EMU pressure conversion valve performance in the embodiment of the present invention.

Figure 4 is a schematic structural diagram of an online evaluation device for EMU pressure conversion valve performance in an embodiment of the present invention.

Figure 5 is a schematic structural diagram of an electronic device in an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

The EMU pressure conversion valve is in the following four working conditions during operation, including: high pressure/rising, high pressure/dropping, low pressure/rising, and low pressure/dropping. The online evaluation method for obtaining the pressure conversion valve under the four working conditions is the same. In this embodiment, the high pressure/rising working condition is taken as an example.

The present invention provides an embodiment of an online evaluation method for the performance of an EMU pressure conversion valve. Referring to Figure 2, the online evaluation method for the performance of an EMU pressure conversion valve specifically includes the following content:

S101: Establish a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory;

In this step, based on the input pressure (pressure at the Cv end of the pressure conversion valve) and output pressure (pressure at the C end of the pressure conversion valve) measured when the pressure conversion valve leaves the factory, high pressure/rise, high pressure/fall, and low pressure/rise are established. The same method is used for the discrete model of the pressure shift valve under the four working conditions of low pressure/drop. Take high pressure/rising conditions as an example.

Let the linear fitting of the pressure conversion valve C-Cv in the available range of C pressure under the high pressure/rising condition measured at the factory be: P _cv = k _hu ·P _c + b _hu , let the maximum pressure of the brake cylinder C The available value is P _c-max , and its corresponding Cv pressure is P _cv-max . i _L is the distance (pressure difference) between discrete points. Generally, the value of i _L can be 5kpa or 10kpa, then P _cv = k _hu · P _c +b _hu will be discretized as corresponding discrete models/> where p _cvi and/> It satisfies p _cvj -p _cvi =k _hu ·(p _cj -p _ci ).

S102: Obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model;

In this step, obtain the output pressure setting value P _c-set of the pressure conversion valve output by the brake controller when the EMU is running. It is assumed that P _c-set is located between the continuous p _cs and p _ct Then the Cv pressure set value P _cv-set of the pressure setting output calculated by the discrete model based on the set value P _c-set is: P _cv-set = p _cvs + (p _cvt -p _cvs )·(P _{c- set} -p _cs )/i _L . Among them, p _cvs = k _hu · p _cs + b _hu , p _cvt = k _hu · p _ct + b _hu .

S103: Update the discrete model in real time based on the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running;

S104: Extract static indicators of the performance of the pressure conversion valve according to the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model;

In this step, the data points consisting of pressure input and pressure output in the discrete model are fitted by the least square method to obtain a fitting straight line, and the fitting slope, fitting intercept and fitting straight line are determined. Combined mean square error;

The abnormal points in the discrete model of the pressure conversion valve are determined based on the collected actual input pressure and the actual output pressure of the pressure conversion valve, and the proportion of abnormal points in the discrete model of the pressure conversion valve is determined based on the abnormal points.

It can be understood that static indicators include: fitting slope, fitting intercept, fitting mean square error and outlier proportion.

It should be noted that the point fitting slope K _f reflects how the C port of the EMU pressure conversion valve outputs the pressure value according to the Cv port. A normal pressure conversion valve should meet the simulation of the C pressure available range when working at high pressure output. The combined slope K _f ≈1. When the fitting slope deviates too much from the normal value, it means that the performance of the pressure conversion valve has declined or deviated from the original design intention. The evaluation index I _k of the fitting slope K _f is expressed by the following formula:

Among them, the fitting slope K _fc represents the slope value based on the current fitting, K _fi represents the slope value fitted during the factory test of the pressure conversion valve, and K _ff represents the fitting slope value when the indicator performance is considered to have declined to failure.

The fitting intercept B _f reflects the characteristics of the hysteresis curve of the pressure conversion valve. When the fitting intercept in the air charging stage becomes larger, it means that a greater Cv port pressure is needed to output the specified C pressure, and it is easy to cause the brake to not be applied. Failure; when the fitting intercept in the exhaust stage becomes small (negative value), it means that when the Cv pressure decreases, the rate of C pressure decrease decreases, and the brake cylinder residual pressure is prone to occur during relief. The evaluation index I _b of B _f is expressed by the following formula:

Among them, B _fc represents the intercept value based on the current fitting, B _fi represents the intercept value fitted during the factory test of the pressure conversion valve, and B _ff represents the fitting intercept value when the performance of the indicator is considered to have declined to failure.

The fitting mean square error E _f reflects the reliability of the internal components of the pressure conversion valve. An effective and high-performance pressure conversion valve should have higher linearity. If the mean square error E _f is too large, it means that within a small Cv pressure range, the change in C pressure is too large and unpredictable, which will have a negative impact on the brake cylinder. Negatively affects the accuracy of pressure control. The evaluation index I _e of E _f is expressed by the following formula:

Among them, E _fc represents the mean square error value based on the current fitting, E _fi represents the fitting mean square error value when the pressure conversion valve is shipped from the factory, and E _ff represents the fitting mean square error value when the indicator performance is considered to have declined to failure. .

The abnormal point ratio R _o of the EMU pressure conversion valve reflects the possibility of performance degradation caused by short-term failure of the pressure conversion valve. If R _o is too high, it indicates that the pressure conversion valve may have component failures such as valve core sticking, rubber template deformation, seal ring breakage, etc., which will reduce the reliability of the braking system. The evaluation index I _r of R _o is expressed by the following formula:

Among them, R _fc represents the number of abnormal points in 1000 updates based on the current real-time update discrete model, R _fi represents the number of abnormal points in 1000 updates during the factory test of the pressure conversion valve, and R _ff represents the belief that the performance of the indicator has declined to failure. The number of abnormal points updated every thousand times.

S105: Obtain the dynamic indicators of the pressure conversion valve when the EMU is running; conduct an online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and the relevant fault data of the pressure change valve collected during train operation.

In this step, the static-level evaluation results and the dynamic-level evaluation results respectively obtained by performing weighted summation processing based on the static indicators and the dynamic indicators are determined respectively; the result is determined based on the static-level evaluation results and the dynamic-level evaluation results. The above-mentioned online performance evaluation results of the pressure conversion valve;

Among them, the static indicators include: fitting slope, fitting intercept, fitting mean square error and abnormal point proportion; the dynamic indicators include: brake cylinder pressure difference time ratio when EMU emergency braking is applied, EMU emergency The brake cylinder pressure difference time ratio during braking relief and the number of output pressure fluctuations of the EMU pressure change valve; the pressure change valve related fault data is used to update the weight values of the static indicators and dynamic indicators; the weight of the static indicators It refers to the weighted value in the process of weighted summation of static indicators; the weight of dynamic indicators refers to the weighted value in the process of weighted summation of dynamic indicators.

It should be noted that when the EMU is running, data is collected from the pressure conversion valve on the EMU, and the dynamic indicators of the pressure conversion valve are determined based on the collected data.

The dynamic indicators of the pressure conversion valve include: the brake cylinder pressure difference time ratio when the EMU emergency brake is applied, the brake cylinder pressure difference time ratio when the EMU emergency brake is relieved, and the number of output pressure fluctuations of the EMU pressure conversion valve. .

The brake cylinder pressure difference time ratio R _pt when EMU emergency braking (UB) is applied reflects the dynamic response performance of the pressure conversion valve during the application process. A higher R _pt indicates that the C pressure can reach the target value faster, reducing the emergency braking distance of the train. R _pt should be recorded when the Cv pressure reaches the target error value, and the initial pressure is 0. Its evaluation index I _pt is expressed by the following formula:

Among them, T _fc represents the currently calculated average pressure difference time ratio, T _fi represents the average pressure difference time ratio of the pressure conversion valve factory test when emergency braking is applied, and T _ff represents the considered decline in the dynamic performance of the pressure conversion valve emergency braking application. The average pressure difference time ratio to failure.

The brake cylinder pressure difference time ratio R _rel during EMU emergency braking (UB) relief reflects the dynamic response performance of the pressure conversion valve during the emergency braking relief process. A higher R _rel indicates that the C pressure can be evacuated faster, reducing the time of the train brake relief process. R _rel should satisfy that the brake cylinder pressure at the end of recording is 0, and its evaluation index I _rel is expressed by the following formula:

Among them, L _fc represents the currently calculated average pressure difference time ratio, L _fi represents the average pressure difference time ratio when the pressure conversion valve leaves the factory for emergency braking relief testing, and L _ff represents the emergency braking relief dynamic performance of the pressure conversion valve. The average pressure difference time ratio when decaying to failure.

The number of output pressure fluctuations of the EMU pressure conversion valve refers to the number of fluctuations of C pressure when the Cv pressure, R pressure and T pressure of the pressure conversion valve are constant. This indicator reflects abnormal activity of the internal components of the pressure conversion valve. Due to the existence of closed-loop control, when the fluctuation is too large, the brake control software will adjust the Cv pressure to return the C pressure to the target value. Therefore, the fluctuation is defined as: the time interval between two C pressure stable moments is ≤5s and the fluctuation pressure difference p _flu Meet 3kpa ≤ p _flu ≤ 5kpa. The evaluation index I _flu of the number of C pressure fluctuations is expressed by the following formula:

Among them, F _fc represents the number of C pressure fluctuations in 1000 updates based on the current real-time update discrete model, F _fi represents the number of C pressure fluctuations in 1000 updates during the factory test of the pressure conversion valve, and F _ff represents that the performance of the indicator has declined to failure. Thousand times of update C pressure fluctuation times.

As can be seen from the above description, the online evaluation method for the performance of the EMU pressure conversion valve provided by the embodiment of the present invention establishes a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory; obtain The output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and the input pressure setting value is obtained through the discrete model; according to the collected actual input pressure and actual output pressure of the pressure conversion valve when the EMU is running and output pressure set value to update the discrete model in real time; extract static indicators of the performance of the pressure conversion valve according to the relationship between the pressure input and pressure output of the pressure conversion valve reflected by the updated discrete model; obtain the EMU Dynamic indicators of the pressure conversion valve during operation; perform an online evaluation of the pressure conversion valve performance based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation. The present invention can evaluate the performance of the pressure conversion valve online, improves the accuracy of the pressure conversion valve evaluation results, has better real-time performance and better economy, can be directly applied to actual operating trains, and has better scalability.

The static stage evaluation result and the dynamic stage evaluation result of the pressure conversion valve are determined based on the above-described embodiment. Furthermore, the performance of the EMU pressure conversion valve is evaluated using a hierarchical evaluation structure. The hierarchical evaluation structure adopts a hierarchical progressive structure to evaluate the performance of the pressure conversion valve at different levels, and finally synthesizes comprehensive performance indicators. The hierarchical evaluation structure is divided into There are six levels: indicator level, status level, working condition level, vehicle level, train level, and product level, as shown in Figure 3:

It should be noted that the 4 static indicators and 3 dynamic indicators are all classified as indicator-level evaluation results;

The static-level evaluation results and dynamic-level evaluation results respectively obtained by weighted summation processing based on static indicators and dynamic indicators are classified as state-level evaluation results.

Determine the 4 working conditions of the EMU pressure conversion valve and the static level evaluation results under the 4 working conditions, that is, first based on the high pressure/rise, high pressure/fall, and low pressure of the pressure conversion valve when the train is used for braking/relieving. /Ascending and low pressure/descending four working conditions, determine the static level evaluation results of each working condition. The static working condition level assessment results of the EMU are determined based on the static level assessment results under each working condition. The dynamic level evaluation results are directly used as the dynamic working condition level evaluation results. Among them, the dynamic working condition level evaluation results and the static working condition level evaluation results are both classified as working condition level evaluation results.

The vehicle-level evaluation result of the EMU (the evaluation result of each vehicle constituting the EMU) is determined based on the static operating condition level evaluation result and the dynamic operating level evaluation result, that is, the dynamic operating condition level evaluation result is the same as the static operating condition level evaluation result. The evaluation results are synthesized into vehicle-level evaluation results, which can evaluate the pressure conversion valve performance of each vehicle that constitutes the EMU.

Determine the vehicles that constitute a certain EMU, and determine the vehicle-level evaluation results corresponding to each vehicle; combine the vehicle-level evaluation results corresponding to each vehicle to obtain the train-level evaluation results. It should be noted that the train-level evaluation result is the evaluation result of a certain EMU. Since the electric brake can be used during the normal braking process of the train, its air brake action time is shorter than that of the trailer. In addition, a single vehicle may have faults such as brake removal, so the air brake usage time of each vehicle in the train All are different. By synthesizing vehicle-level performance evaluation results into train-level evaluation results, the performance of the entire train's pressure conversion valve can be evaluated.

Since the operating mileage and marshalling conditions of each train are different, the train-level evaluation results are synthesized into product-level evaluation results based on the above factors, so that the overall performance of a type of pressure conversion valve product can be evaluated.

In this step, the performance evaluation results provided are divided into six levels, which can reflect the performance changes of the pressure conversion valve at different levels, providing support for realizing accurate and personalized maintenance plans.

In one embodiment of the present invention, an implementation method of step S103 in the above embodiment is provided, which specifically includes the following content:

The discrete model is updated in real time based on the collected actual input pressure of the pressure conversion valve, the actual output pressure and the pressure setting value output by the brake controller when the EMU is running, including:

Because when the actual input pressure changes, the actual output pressure takes a period of time to stabilize. Only when the output pressure reaches stability, it is updated according to formula (2). The value of two consecutive points specified in this sequence.

Among them, the criterion for the stable moment of C pressure is:

Criterion 1: Cv pressure fluctuation ≤1kpa under 5 sampling periods, enter criterion 2. Among them, the Cv pressure fluctuation is the difference between the average pressure of each cycle and the pressure of each sampling point.

Criterion 2: The braking system has no control output, and the C pressure fluctuation in the latest 5 consecutive sampling points is ≤1kpa. Enter criterion 3. Among them, the latest 5 consecutive sampling points refer to the current sampling point and the previous 4 sampling points.

Criterion 3: The C pressure fluctuation in the last 5 consecutive sampling points is ≥1kpa, and the C pressure is judged to be stable at this moment. Among them, the last 5 consecutive sampling points refer to the 5 sampling points before the current sampling point.

Let the actual input pressure value and output pressure value of the pressure conversion valve of the braking system reach the stable moment when it reaches the stable moment respectively under the P _{c -set} setting. P _c is located between the continuous p _cq and p _{cp .} P _cv is located between consecutive p _cvq and p _cvp /> The specific update method will be determined based on the relationship between P _c and P _c-set .

When |P _c -P _c-set |/i _L ≤1, if p _cvq and p _cvp are updated directly, the output Cv pressure setting value of the discrete model will change, and the brake controller is set according to the Cv pressure The value controls the actual Cv pressure input of the pressure change valve, and then the output P _c of the pressure change valve changes, making the output of the brake control system unstable, so it is necessary to initialize Loc _temp = p _cv-left = p _cv-right = 0. It should be noted that the three parameters Loc _temp , p _cv-left , and p _cv-right are for temporary storage of data. Loc _temp is the position of the temporary interval, and p _cv-left and p _cv-right are the two ends of the temporary interval. point.

According to the criteria, there are three situations: when updating, all two points are updated directly; one point is updated and one point is temporarily stored; two points are temporarily stored, so sometimes Loc _temp , p _cv-left , p _cv- The three parameters of _right store temporary values. Among them, the specific update method is determined based on the relationship between P _c and P _c-set , including:

Criterion 1: P _cv should satisfy equation (1), otherwise the corresponding (P _c , P _cv ) will be recorded as an abnormal point and will not be updated.

Criterion 2: When |P _c -P _c-set |/i _L > 1, then the two points p _cvq and p _cvp located on the left and right sides of P _cv are not the two points p _cvs on the left and right sides of P _cv-set and p _cvt , so the Cv pressure values p _cvq and p _cvp corresponding to p _cq and p _cp will be updated directly.

Criterion 3: When |P _c -P _c-set |/i _L ≤ 1, if Loc _temp = 0, it means that it was not updated last time or entered criterion 1. In this case, It will be updated based on the coincidence relationship between p _cvs /p _cvt and p _cvq /p _cvp . If p _cvt = p _cvq , keep p _cvq unchanged, and assign the updated value of p _cvq to p _cv-left . If p _cvs = p _cvp , keep p _cvp unchanged, and assign the updated value of p _cvp . Given p _cv-right , if p _cvt = p _cvp and p _cvs = p _cvq , keep p _cvq and p _cvp unchanged, assign the updated value of p _cvq to p _cv-left , and assign the updated value of p _cvp The value is assigned to p _cv-right .

Criterion 4: When |P _c -P _c-set |/i _L ≤1, if Loc _temp ≠0, it means that criterion 2 was entered last time. At this time, it is necessary to calculate Loc _temp and The relationship between them is updated. If/> or/> Then you can directly assign the current values of p _cv-left and p _cv-right /> corresponding points, and then update p _cv-left and p _cv-right . If/> Then you need to update p _cv-left /p _cv-right first, and then assign the current values of p _cv-left and p _cv-right /> corresponding points of , and then let

For any continuous Cv pressure point, such as p _cvs /p _cvt , p _cvq /p _cvp , p _cv-left /p _cv-right mentioned above, if the new sampling points P _c and P _cv satisfy the above update criteria _{Any of _ _ _ _ _ _ cvt} .

In this embodiment, according to the real state of the pressure change valve, the set C pressure value can be more accurately converted into the output Cv pre-control pressure, and the relationship between the input Cv and the output C pressure of the pressure change valve can be more accurately described, and thus Improved control accuracy of brake cylinder pressure.

Furthermore, in this embodiment, the fault data related to the pressure change valve is used to update the weight values of the static indicators and dynamic indicators, which can increase the effectiveness of synthesizing static/dynamic level evaluation indicators and improve the credibility of performance evaluation. . Since there is little observable data on actual performance changes of the pressure conversion valve in the early stages of its use, the weights are mainly determined by expert experience. After a certain stage of actual use, the weight values are updated based on fault data. Assume that there are m faults {f ₁ , f ₂ ,..., f _m } related to 4 static indicators and 3 dynamic indicators in the braking system fault list. The occurrence times of these faults are {n ₁ , n respectively. ₂ ,...,n _m }, the importance values of 4 static indicators and 3 dynamic indicators relative to the i-th fault determined by experts through the Analytical Hierarchy Process (AHP) are {v _si1 , v _si2 , v _si3 , respectively. v _si4 }, {v _di1 , v _di2 , v _di3 }, then any one of the four static indicators determined by the fault data has a weight w _sj (1≤j≤4) for the static level evaluation and any of the three dynamic indicators A weight w _dt (1≤t≤3) for static level evaluation is expressed by equation (3):

When n ₁ =n ₂ =...=n _m =0, w _sj =w _sje is the initial j-th static indicator weight determined by experts through AHP method, w _dt =w _dte is the initial weight determined by experts through AHP method The t-th dynamic index weight, when min{n ₁ , n ₂ ,..., n _m } ≥ 1 is satisfied, uses the weight determined by the fault data, where 1 ≤ i ≤ m.

The performance evaluation methods of pressure conversion valves at state level, working condition level, vehicle level, train level and product level are determined by equations (4), (5), (6), (7) and (8) respectively. Among them, C _s and C _d are the evaluation results of static level and dynamic level (dynamic working condition level) respectively, w _k , w _b , we _e , w _r , w _pt , w _rel and w _flu are the corresponding static/dynamic indicators respectively. _{The weight of _ _ _ _ _ _} The time proportion and static evaluation results of pressure/rise, high pressure/fall, low pressure/rise, and low pressure/fall working conditions; C _vehicle is the vehicle-level assessment result, e _sc and _ed are the static working conditions determined by experts respectively. and dynamic working condition weight; C _train is the train-level evaluation result consisting of u single vehicles, t _i and C vehicle _-i are respectively the air brake usage time proportion and The vehicle-level performance evaluation result of the vehicle; C _product is the product-level performance evaluation result of the composition of the atr operating vehicle, w _mil-k is the proportion of the k-th train operating mileage to the sum of all train operating mileage, c _k is the k-th train The grouping coefficient is c _k = 1 when grouping 8, and C _train-k is the train-level performance evaluation result of the k-th train.

C _sc ＝t _hu C _shu +t _hd C _shd +t _lu C _slu +t _ld C _sld (5)

C _vehicle =e _sc C _sc +e _d C _d (6)

In this embodiment, the weights of the indicators (dynamic indicators and static indicators) are updated and directly applied to the actual operating trains, which has better scale; the evaluation process completely uses the data generated during the train operation, and there is no need to provide additional information during the operation. The evaluation adds additional operating procedures. The performance indicators are closely related to the function of the pressure conversion valve, and the indicator weights are updated based on fault data in actual operations, which can guide train maintenance work more accurately.

In order to further illustrate this solution, the present invention provides a specific example of an online evaluation method for the performance of an EMU pressure conversion valve, which specifically includes the following content:

When the pressure conversion valve leaves the factory, perform an index threshold test based on the evaluation index to obtain the initial values K _fi , B _fi , E _fi , R _fi , T _fi , L _fi , F _fi , and the threshold values K _ff , B _ff , E _ff , R _ff , T _ff , L _ff , F _ff . The AHP method is used to obtain the weight of static indicators on static-level evaluation results and the weight of dynamic indicators on dynamic-level evaluation results through expert evaluation.

When pure air brake UB or EB is applied and relieved, the pressure rise/time value is calculated, the number of C pressure fluctuations in the current thousand updates is counted, and the dynamic evaluation index value is calculated and updated. The software calculates static-level and dynamic-level evaluation results based on weights.

The bicycle software counts the time proportions of the four working conditions of high pressure/rise, high pressure/drop, low pressure/rise, and low pressure/drop in the use of the vehicle, and calculates the evaluation index of the static working condition level. Calculate vehicle-level evaluation index values based on the weights given by experts.

The air brake application proportion of motor trains/trailers within a certain time interval is counted, and train-level evaluation indicators are calculated in the full train braking system management software.

The train-level evaluation indicators are sent to the ground data statistics center through the network, and the product-level pressure conversion valve performance evaluation indicators are calculated based on the train's grouping information and operating mileage ratio.

According to the above content, it can be seen that the weights and thresholds of different levels of evaluation indicators are determined through expert judgment, factory testing, fault data feedback, working condition time proportion analysis, moving trailer air brake application time analysis, operating mileage statistics and other methods; constructing The analytic hierarchy process model realizes the evaluation of pressure conversion valve performance at the index level, state level, working condition level, vehicle level, train level and product level. Compared with the existing pressure conversion valve performance evaluation method, it has the following beneficial effects:

1. Real-time, online, continuous evaluation: It can record the changing trend of the performance of the pressure conversion valve over time of use.

2. Large-scale and synchronized: the performance of all used products can be evaluated at the same time.

3. Grading: Evaluate performance at different levels to achieve precise maintenance.

4. Economical: No additional equipment, software, or operating procedures are required, and the evaluation is based on existing data.

5. Accurate on-site guidance: The evaluation index weight is fault-oriented, the performance indicators are closely related to the functions, and it is highly consistent with on-site application and maintenance needs.

The embodiment of the present invention provides a specific implementation of an online evaluation device for the performance of the EMU pressure conversion valve that can realize all the online evaluation methods for the performance of the EMU pressure conversion valve. Refer to Figure 4. The EMU pressure conversion device The online evaluation device of valve performance specifically includes the following contents:

The discrete model module 10 is used to establish a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory;

The calculation module 20 is used to obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model;

The update module 30 is used to update the discrete model in real time based on the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running;

An indicator module 40 is configured to extract static indicators of the performance of the pressure conversion valve based on the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model;

The evaluation module 50 is used to obtain the dynamic indicators of the pressure conversion valve when the EMU is running; and perform an online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation.

The indicator module 40 includes:

A fitting unit, used to fit the data points composed of pressure input and pressure output in the discrete model through the least square method to obtain a fitting straight line, and determine the fitting slope, fitting intercept and fitting straight line of the fitting straight line. Fitting mean square error;

An abnormal point unit is configured to determine abnormal points in the discrete model of the pressure conversion valve based on the collected actual input pressure and actual output pressure of the pressure conversion valve, and determine the proportion of abnormal points in the discrete model of the pressure conversion valve based on the abnormal points.

The evaluation module 50 includes:

A level unit configured to perform a weighted summation process based on the static indicators and the dynamic indicators to obtain the static level evaluation results and the dynamic level evaluation results respectively;

An evaluation unit configured to determine the performance online evaluation result of the pressure conversion valve according to the static level evaluation result and the dynamic level evaluation result;

Among them, the static indicators include: fitting slope, fitting intercept, fitting mean square error and abnormal point proportion; the dynamic indicators include: brake cylinder pressure difference time ratio when EMU emergency braking is applied, EMU emergency The brake cylinder pressure difference time ratio during braking relief and the number of output pressure fluctuations of the EMU pressure change valve; the pressure change valve related fault data is used to update the weight values of the static indicators and dynamic indicators; the weight of the static indicators It refers to the weighted value in the process of weighted summation of static indicators; the weight of dynamic indicators refers to the weighted value in the process of weighted summation of dynamic indicators.

Furthermore, it also includes:

The level evaluation module is used to determine each working condition of the EMU pressure change valve and the static level evaluation results under each working condition;

The working condition module is used to determine the static working condition level assessment results of the EMU based on the static level assessment results under each working condition.

Furthermore, it also includes:

A vehicle module, configured to determine the vehicle-level evaluation result of the EMU based on the static working-level evaluation result and the dynamic-level evaluation result.

Furthermore, it also includes:

The train module is used to determine the vehicle-level evaluation results of each component vehicle of each EMU, and determine the train-level evaluation results based on the vehicle-level evaluation results.

Furthermore, it also includes:

The product module is used to determine the train-level evaluation results corresponding to each train, and determine the product-level evaluation results based on the evaluation results of each train level.

The embodiment of the online evaluation device for the performance of the EMU pressure conversion valve provided by the present invention can be specifically used to perform the processing flow of the embodiment of the online evaluation method for the performance of the EMU pressure conversion valve in the above embodiment, and its function is no longer mentioned here. For further details, reference may be made to the detailed description of the above method embodiments.

As can be seen from the above description, the online evaluation device for the performance of the EMU pressure conversion valve provided by the embodiment of the present invention establishes a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure of the pressure conversion valve measured at the factory; obtain The pressure setting input of the pressure conversion valve output by the brake controller when the EMU is running, and the pressure setting output is obtained through the discrete model; according to the collected actual input pressure, actual output pressure and The pressure setting value output by the brake controller updates the discrete model in real time; the pressure is extracted according to the relationship between the current pressure setting input and the pressure setting output in the updated discrete model. Static indicators of the performance of the conversion valve; obtaining dynamic indicators of the pressure conversion valve when the EMU is running; performing online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and collected train fault data. It can evaluate the performance of the pressure conversion valve online and improve the accuracy of the pressure conversion valve evaluation results. It has better real-time performance and better economy. It can be directly applied to actual operating trains and has better scalability.

This application provides an embodiment of an electronic device for realizing all or part of the online evaluation method of the EMU pressure conversion valve performance. The electronic device specifically includes the following content:

A processor (processor), a memory (memory), a communication interface (Communications Interface) and a bus; wherein the processor, memory and communication interface complete communication with each other through the bus; the communication interface is used to implement related equipment information transmission between; the electronic device may be a desktop computer, a tablet computer, a mobile terminal, etc., and this embodiment is not limited thereto. In this embodiment, the electronic device can refer to the embodiments of the online evaluation method for realizing the performance of the EMU pressure conversion valve and the embodiment of the online evaluation device for realizing the performance of the EMU pressure conversion valve. For implementation, its contents are merged here, and duplicates will not be repeated.

FIG. 5 is a schematic block diagram of the system structure of the electronic device 9600 according to the embodiment of the present application. As shown in Figure 5, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that Figure 5 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunications functions or other functions.

In one embodiment, the online evaluation function of the EMU pressure conversion valve performance can be integrated into the central processor 9100. Among them, the central processing unit 9100 can be configured to perform the following control:

Based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory, a discrete model of the pressure conversion valve is established; the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running is obtained, and through the discrete The model obtains the input pressure setting value; the discrete model is updated in real time according to the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running; and the updated discrete model reflects Extract static indicators of the performance of the pressure conversion valve from the relationship between the pressure input and pressure output of the pressure conversion valve; obtain the dynamic indicators of the pressure conversion valve when the EMU is running; based on the static indicators, dynamic indicators and train operation The collected fault data related to the pressure change valve can be used to evaluate the performance of the pressure change valve online.

As can be seen from the above description, the electronic device provided by the embodiment of the present application establishes a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory; obtains the braking control of the EMU during operation The output pressure setting value of the pressure conversion valve output by the controller is used to obtain the input pressure setting value through the discrete model; according to the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running, the The discrete model is updated in real time; static indicators of the performance of the pressure conversion valve are extracted based on the relationship between the pressure input and pressure output of the pressure conversion valve reflected by the updated discrete model; and the pressure conversion valve is obtained when the EMU is running. dynamic indicators; perform an online evaluation of the pressure change valve performance based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation. It can evaluate the performance of the pressure conversion valve online and improve the accuracy of the pressure conversion valve evaluation results. It has better real-time performance and better economy. It can be directly applied to actual operating trains and has better scalability.

In another embodiment, the online evaluation device for the performance of the EMU pressure conversion valve can be configured separately from the central processor 9100. For example, the online evaluation device for the performance of the EMU pressure conversion valve can be configured as a chip connected to the central processor 9100, through The central processor is used to realize the online evaluation function of the EMU pressure conversion valve performance.

As shown in Figure 5, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily include all components shown in FIG. 5 ; in addition, the electronic device 9600 may also include components not shown in FIG. 5 , and reference may be made to the existing technology.

As shown in Figure 5, the central processor 9100, sometimes also called a controller or operating control, may include a microprocessor or other processor device and/or a logic device. The central processor 9100 receives input and controls various aspects of the electronic device 9600. Operation of parts.

The memory 9140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory or other suitable devices. The above-mentioned information related to the failure can be stored, and the program that executes the related information can also be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to implement information storage or processing, etc.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used to display display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It can also be a memory that retains information even when the power is turned off, can be selectively erased and provided with more data, examples of this memory are sometimes called EPROM, etc. Memory 9140 may also be some other type of device. Memory 9140 includes buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage part 9142 for storing application programs and function programs or a flow for executing operations of the electronic device 9600 through the central processor 9100 .

The memory 9140 may also include a data storage 9143 for storing data such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (such as messaging applications, address book applications, etc.).

The communication module 9110 is the transmitter/receiver 9110 that sends and receives signals via the antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in a conventional mobile communication terminal.

Based on different communication technologies, multiple communication modules 9110 can be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and/or a wireless LAN module, etc. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132 to implement general telecommunications functions. Audio processor 9130 may include any suitable buffers, decoders, amplifiers, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording on the local machine through the microphone 9132, and enabling sound stored on the local machine to be played through the speaker 9131.

Embodiments of the present invention also provide a computer-readable storage medium that can implement all the steps in the online evaluation method for the performance of the EMU pressure conversion valve in the above-mentioned embodiments. The computer-readable storage medium stores a computer program. When the computer program is executed by the processor, all the steps of the online evaluation method for the performance of the EMU pressure conversion valve in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

Based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory, a discrete model of the pressure conversion valve is established; the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running is obtained, and through the discrete The model obtains the input pressure setting value; the discrete model is updated in real time according to the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running; and the updated discrete model reflects Extract static indicators of the performance of the pressure conversion valve from the relationship between the pressure input and pressure output of the pressure conversion valve; obtain the dynamic indicators of the pressure conversion valve when the EMU is running; based on the static indicators, dynamic indicators and train operation The collected fault data related to the pressure change valve can be used to evaluate the performance of the pressure change valve online.

As can be seen from the above description, the computer-readable storage medium provided by the embodiment of the present invention establishes a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory; obtains the operating time system of the EMU The output pressure setting value of the pressure conversion valve output by the dynamic controller is used to obtain the input pressure setting value through the discrete model; according to the collected actual input pressure, actual output pressure and output pressure setting of the pressure conversion valve when the EMU is running The discrete model is updated in real time based on the value; the static index of the pressure conversion valve performance is extracted according to the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model; and the pressure when the EMU is running is obtained. Dynamic indicators of the conversion valve; perform online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation. It can evaluate the performance of the pressure conversion valve online and improve the accuracy of the pressure conversion valve evaluation results. It has better real-time performance and better economy. It can be directly applied to actual operating trains and has better scalability.

Although the present invention provides method operation steps as described in the embodiments or flow charts, more or less operation steps may be included based on routine or non-inventive efforts. The sequence of steps listed in the embodiment is only one way of executing the sequence of many steps, and does not represent the only execution sequence. When the actual device or client product is executed, it may be executed sequentially or in parallel (for example, in a parallel processor or multi-threaded processing environment) according to the methods shown in the embodiments or figures.

It should be understood by those skilled in the art that embodiments of the present specification may be provided as methods, devices (systems) or computer program products. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for realizing the functions specified in one process or multiple processes of the flowchart and/or one block or multiple blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes of the flowchart and/or a block or blocks of the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

Each embodiment in this specification is described in a progressive manner. The same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on its differences from other embodiments. It should be noted that, as long as there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other. The invention is not limited to any single aspect, nor to any single embodiment, nor to any combination and/or permutation of these aspects and/or embodiments. Furthermore, each aspect and/or embodiment of the invention may be used alone or in combination with one or more other aspects and/or embodiments thereof.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention. scope, they should be covered by the claims and the scope of the description of the present invention.

Claims (9)

1. An online evaluation method for the performance of the EMU pressure conversion valve, which is characterized by including: Based on the relationship between the input pressure and output pressure measured when the pressure conversion valve leaves the factory, a discrete model of the pressure conversion valve is established; Obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model; The discrete model is updated in real time according to the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running; Extract static indicators of the performance of the pressure conversion valve according to the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model; Obtain the dynamic indicators of the pressure conversion valve when the EMU is running; conduct an online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation; Among them, the online evaluation of the performance of the pressure change valve based on the static indicators, dynamic indicators and pressure change valve related fault data collected during train operation includes: Static-level evaluation results and dynamic-level evaluation results respectively obtained by weighted summation processing based on the static indicators and the dynamic indicators; Determine the performance online evaluation result of the pressure conversion valve according to the static stage evaluation result and the dynamic stage evaluation result; Among them, the static indicators include: fitting slope, fitting intercept, fitting mean square error and abnormal point proportion; the dynamic indicators include: brake cylinder pressure difference time ratio when EMU emergency braking is applied, EMU emergency The brake cylinder pressure difference time ratio during braking relief and the number of output pressure fluctuations of the EMU pressure change valve; the pressure change valve related fault data is used to update the weight values of the static indicators and dynamic indicators; the weight of the static indicators It refers to the weighted value in the process of weighted summation of static indicators; the weight of dynamic indicators refers to the weighted value in the process of weighted summation of dynamic indicators. 2. The online evaluation method for EMU pressure conversion valve performance according to claim 1, characterized in that the relationship between the pressure input and pressure output of the pressure conversion valve reflected in the updated discrete model is extracted. Static indicators of pressure conversion valve performance include: Fit the data points composed of pressure input and pressure output in the discrete model through the least squares method to obtain a fitting straight line, and determine the fitting slope, fitting intercept and fitting mean square error of the fitting straight line; The abnormal points in the discrete model of the pressure conversion valve are determined based on the collected actual input pressure and the actual output pressure of the pressure conversion valve, and the proportion of abnormal points in the discrete model of the pressure conversion valve is determined based on the abnormal points. 3. The online evaluation method for EMU pressure conversion valve performance according to claim 1, characterized in that it further includes: Determine the various working conditions of the EMU pressure change valve and the static stage evaluation results under each working condition; The static working condition level assessment results of the EMU are determined based on the static level assessment results under each working condition. 4. The online evaluation method for EMU pressure conversion valve performance according to claim 3, characterized in that it further includes: The vehicle-level evaluation result of the EMU is determined based on the static working-level evaluation result and the dynamic-level evaluation result. 5. The online evaluation method for EMU pressure conversion valve performance according to claim 4, characterized in that it further includes: Determine the vehicle-level assessment results of each component vehicle of each EMU, and determine the train-level assessment results based on the vehicle-level assessment results. 6. The online evaluation method for EMU pressure conversion valve performance according to claim 5, characterized in that it further includes: Determine the corresponding train-level evaluation results of each train, and determine the product-level evaluation results based on the evaluation results of each train level. 7. An online evaluation device for the performance of EMU pressure conversion valves, which is characterized by including: The discrete model module is used to establish a discrete model of the pressure conversion valve based on the relationship between the input pressure and the output pressure measured when the pressure conversion valve leaves the factory; The calculation module is used to obtain the output pressure setting value of the pressure conversion valve output by the brake controller when the EMU is running, and obtain the input pressure setting value through the discrete model; An update module, used to update the discrete model in real time based on the collected actual input pressure, actual output pressure and output pressure setting value of the pressure conversion valve when the EMU is running; An indicator module configured to extract static indicators of the performance of the pressure conversion valve based on the relationship between the pressure input and the pressure output of the pressure conversion valve reflected by the updated discrete model; An evaluation module, used to obtain the dynamic indicators of the pressure conversion valve when the EMU is running; perform an online evaluation of the performance of the pressure conversion valve based on the static indicators, dynamic indicators and the relevant fault data of the pressure change valve collected during train operation; Among them, the evaluation module is specifically used for: Static-level evaluation results and dynamic-level evaluation results respectively obtained by weighted summation processing based on the static indicators and the dynamic indicators; Determine the performance online evaluation result of the pressure conversion valve according to the static stage evaluation result and the dynamic stage evaluation result; Among them, the static indicators include: fitting slope, fitting intercept, fitting mean square error and abnormal point proportion; the dynamic indicators include: brake cylinder pressure difference time ratio when EMU emergency braking is applied, EMU emergency The brake cylinder pressure difference time ratio during braking relief and the number of output pressure fluctuations of the EMU pressure change valve; the pressure change valve related fault data is used to update the weight values of the static indicators and dynamic indicators; the weight of the static indicators It refers to the weighted value in the process of weighted summation of static indicators; the weight of dynamic indicators refers to the weighted value in the process of weighted summation of dynamic indicators. 8. An electronic device, 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 program, any one of claims 1 to 6 is implemented The steps of the online evaluation method for the performance of the EMU pressure conversion valve. 9. A computer-readable storage medium with a computer program stored thereon, characterized in that when the computer program is executed by a processor, the online evaluation of the performance of the EMU pressure conversion valve according to any one of claims 1 to 6 is realized. Method steps.