Method and device for determining maintenance time of shielding door based on historical data analysis

Abstract

The embodiment of the present invention discloses a method and device for determining the maintenance time of a shielding door based on historical data analysis. The embodiment of the present invention obtains the first time when a shielding door fails in history, determines the fault interval time according to the first time, and then determines the reliability threshold of shielding door maintenance. Then, the influence of preventive maintenance and maintenance times on the shielding door, as well as the degradation speed of the shielding door at different stages are comprehensively considered to calculate the optimized shielding door maintenance cycle. The embodiment of the present invention determines the maintenance time of the shielding door by analyzing the fault interval time and performing reasonable data processing, thereby avoiding over-maintenance and under-maintenance of the shielding door, improving the reliability of the shielding door and the operating efficiency of rail transit, and solving the technical problem that the data processing method in the prior art is simple, resulting in poor reliability of the shielding door.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of data processing, and more particularly to a method and device for determining maintenance time of a platform shielding door based on historical data analysis. Background Art

[0002] In order to isolate passengers from the track in rail transit, platform screen doors are generally installed on both sides of the platform of rail transit stations to ensure driving safety. Since the failure of the platform screen door will directly affect the normal operation of the train, it is particularly important to collect various types of data and perform corresponding data processing to achieve regular maintenance of the platform screen door. At present, in order to achieve the operation and maintenance of each platform screen door, the DCU (door controller) of the platform screen door is usually used to collect the operating status data of each sensor of the platform screen door, and after analyzing and processing the operating status data of each platform screen door, the platform screen door is operated and maintained to ensure the good operation effect of the platform screen door.

[0003] However, the current method of operating and maintaining platform shield doors based on operating status data can only repair the platform shield doors when abnormalities are detected. This data processing method has poor reliability and relatively simple factors to consider, resulting in poor safety of the platform shield doors, which further affects the operating efficiency of rail transit. Summary of the invention

[0004] The embodiment of the present invention provides a method and device for determining the maintenance time of a shielding door based on historical data analysis. The embodiment of the present invention analyzes the historical fault data of the shielding door and performs reasonable and efficient data processing to determine the maintenance time of the shielding door, thereby improving the reliability of the shielding door and solving the technical problem that the data processing method in the prior art is simple and single, resulting in poor reliability of the shielding door.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining a maintenance time of a platform shielding door based on historical data analysis, comprising:

[0006] Determine the first time when each platform screen door of the target rail transit line fails in history, and determine the failure interval time according to the first time;

[0007] Performing fault time distribution fitting according to the first time and a preset distribution model to obtain a fault distribution fitting result corresponding to each of the distribution models;

[0008] Determining a target distribution model in the distribution model, and determining a corresponding failure rate function according to a failure distribution fitting result of the target distribution model;

[0009] Determining a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model;

[0010] Determine a target failure rate function corresponding to different maintenance cycles of the platform shielding door according to the failure rate function, the influence factor of the preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate;

[0011] The maintenance time of the shielding door is determined according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold.

[0012] Wherein, determining a target distribution model in the distribution model includes:

[0013] Determining the number of samples according to the number of the first time;

[0014] Determine the Bayesian information criterion value of each distribution model according to the number of parameters, likelihood function and the number of samples of each distribution model;

[0015] The target distribution model is determined according to the Bayesian information criterion value of each distribution model.

[0016] Wherein, determining the reliability threshold of the preventive maintenance of the screen door according to the fault interval time and the target distribution model includes:

[0017] Selecting a target fault interval time from the fault interval times;

[0018] A reliability threshold for preventive maintenance of the shielding door is determined according to the target failure interval time and the target distribution model.

[0019] The fault interval time conforms to a normal distribution, and the step of selecting a target fault interval time from the fault interval time includes:

[0020] Will be distributed in The failure interval time within the range is taken as the target failure interval time, where is the expected value of the normal distribution, is the variance of the normal distribution.

[0021] Wherein, determining the reliability threshold of the preventive maintenance of the screen door according to the target failure interval time and the target distribution model includes:

[0022] Determining a reliability function corresponding to the target distribution model, wherein the reliability function is used to calculate reliability;

[0023] Calculating a first reliability corresponding to each of the target failure intervals according to the reliability function;

[0024] The mean value of the first reliability is calculated to obtain a reliability threshold for the preventive maintenance of the shielding door.

[0025] Wherein, determining the target failure rate function corresponding to different maintenance cycles of the platform shielding door according to the failure rate function, the influence factor of the preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate includes:

[0026] Determining, according to the influencing factor of the preventive maintenance on the failure rate and the failure rate function, a first failure rate function corresponding to different maintenance cycles of the shielding door when the preventive maintenance is performed;

[0027] Determine, according to the influence factor of the number of maintenance times on the failure rate and the failure rate function, a second failure rate function corresponding to the number of maintenance times and different maintenance cycles of the shielding door;

[0028] A target failure rate function corresponding to the shielding door is determined according to the first failure rate function and the second failure rate function.

[0029] The step of determining the maintenance time of the shielding door according to the target failure rate function, the failure rate variation rule of the shielding door in the whole life cycle and the reliability threshold comprises:

[0030] Determining a reliability variation function of the shielding door according to the target failure rate function and a failure rate variation rule of the shielding door over its entire life cycle;

[0031] The maintenance time of the platform shielding door is determined according to the reliability threshold and the reliability variation function.

[0032] Wherein, determining the reliability variation function of the shielding door according to the target failure rate function and the failure rate variation law information of the shielding door in the whole life cycle includes:

[0033] According to the failure rate variation law information of the shielding door in the whole life cycle, the whole life cycle is divided into an early failure period, an accidental failure period and a wear and tear failure period;

[0034] respectively determining improved failure rate functions corresponding to the early failure period, the accidental failure period, and the wear failure period;

[0035] The reliability variation function of the shielding door is determined according to the improved failure rate functions corresponding to the early failure period, the accidental failure period and the wear failure period respectively.

[0036] In a second aspect, an embodiment of the present invention provides a device for determining a maintenance time of a shielding door based on historical data analysis, comprising:

[0037] A time determination module, used to determine the first time when each platform screen door of the target rail transit line has failed in history, and determine the failure interval time according to the first time;

[0038] A distribution fitting module, used to perform fault time distribution fitting according to the first time and a preset distribution model, and obtain a fault distribution fitting result corresponding to each of the distribution models;

[0039] A model determination module, used to determine a target distribution model in the distribution model, and determine a corresponding failure rate function according to a failure distribution fitting result of the target distribution model;

[0040] A reliability calculation module, used to determine a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model;

[0041] A function determination module, used to determine a target failure rate function corresponding to different maintenance cycles of the shielding door according to the failure rate function, the influence factor of the preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate;

[0042] The maintenance time determination module is used to determine the maintenance time of the shielding door according to the target failure rate function, the failure rate change law information of the shielding door in the whole life cycle and the reliability threshold.

[0043] In a third aspect, an embodiment of the present invention provides a device for determining a maintenance time of a platform shielding door based on historical data analysis, wherein the device for determining a maintenance time of a platform shielding door based on historical data analysis includes a processor and a memory;

[0044] The memory is used to store a computer program and transmit the computer program to the processor;

[0045] The processor is used to execute the method for determining the maintenance time of the platform shielding door based on historical data analysis as described in the first aspect according to the instructions in the computer program.

[0046] In a fourth aspect, an embodiment of the present invention provides a storage medium storing computer executable instructions, which, when executed by a computer processor, are used to execute the method for determining the maintenance time of a shielding door based on historical data analysis as described in the first aspect.

[0047] As described above, the embodiment of the present invention provides a method and device for determining the maintenance time of the shielding door based on historical data analysis. The embodiment of the present invention obtains the first time when the shielding door fails in history, determines the fault interval time according to the first time, and then determines the reliability threshold of the shielding door maintenance. Then, the influence of preventive maintenance and maintenance times on the shielding door, as well as the degradation law of the shielding door at different stages are comprehensively considered to calculate the optimized shielding door maintenance cycle. The embodiment of the present invention determines the maintenance time of the shielding door by analyzing the fault interval time and reasonably processing the data, thereby avoiding over-maintenance and under-maintenance of the shielding door, improving the reliability of the shielding door and the operating efficiency of the rail transit, and solving the technical problem that the data processing method in the prior art is simple, resulting in poor reliability of the shielding door. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flowchart of a method for determining maintenance time of a platform shielding door based on historical data analysis provided by an embodiment of the present invention.

[0049] Figure 2 A schematic diagram of changes in failure rate and reliability of a shielding door provided in an embodiment of the present invention.

[0050] Figure 3 A schematic diagram of changes in failure rate and reliability of another shielding door provided in an embodiment of the present invention.

[0051] Figure 4 A schematic diagram showing changes in failure rate and reliability of another shielding door provided in an embodiment of the present invention.

[0052] Figure 5 A schematic diagram of a failure rate variation rule of a shielding door over its entire life cycle provided by an embodiment of the present invention.

[0053] Figure 6 A schematic structural diagram of a device for determining maintenance time of a shielding door based on historical data analysis provided by an embodiment of the present invention.

[0054] Figure 7 A schematic diagram of the structure of a device for determining the maintenance time of a shielding door based on historical data analysis provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following description and accompanying drawings fully illustrate the specific embodiments of the present application so that those skilled in the art can practice them. The examples represent possible variations only. Unless explicitly required, separate components and functions are optional, and the order of operation can vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. The scope of the embodiments of the present application includes the entire scope of the claims, and all available equivalents of the claims. In this article, each embodiment may be represented individually or generally by the term "invention", which is only for convenience, and if more than one invention is disclosed in fact, it is not intended to automatically limit the scope of the application to any single invention or inventive concept. In this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, without requiring or implying any actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also other elements that are not explicitly listed. The various embodiments are described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. As for the structures, products, etc. disclosed in the embodiments, since they correspond to the parts disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0056] like Figure 1 As shown, Figure 1 A flowchart of a method for determining the maintenance time of a shielded door based on historical data analysis provided in an embodiment of the present invention. The method for determining the maintenance time of a shielded door based on historical data analysis provided in an embodiment of the present invention can be executed by a device for determining the maintenance time of a shielded door based on historical data analysis, and the device can be implemented in software and / or hardware. The device can be composed of two or more physical entities, or can be composed of one physical entity. For example, it can be a computer, a host computer, a tablet, etc. The method for determining the maintenance time of a shielded door based on historical data analysis provided in an embodiment of the present invention includes the following steps:

[0057] Step S101, determining the first time when each platform screen door of a target rail transit line fails in history, and determining the failure interval time according to the first time.

[0058] In this embodiment, it is first necessary to determine the target rail transit line to be analyzed, wherein the target rail transit line can be set in advance by the user, or the device for determining the maintenance time of the platform screen door based on historical data analysis can traverse each rail transit line in turn, and determine the currently traversed rail transit line as the target rail transit line. After determining the target rail transit line, it is necessary to obtain the historical fault data of the target rail transit line from the rail transit integrated monitoring system, and determine the first time when each platform screen door of the target rail transit line has failed in history based on the historical fault data, and determine the fault interval time between two consecutive failures of each platform screen door in history based on the first time.

[0059] Step S102: performing fault time distribution fitting according to the first time and a preset distribution model to obtain a fault distribution fitting result corresponding to each distribution model.

[0060] After obtaining the first time when the shielding door fails in history, the preset distribution model can be called to perform distribution fitting on the first time when the failure occurs, wherein distribution fitting, also known as probability distribution fitting or statistical distribution fitting, is the process of fitting a set of sample data through a distribution model to find a distribution model that best describes the probability distribution of the sample data. In one embodiment, the preset distribution models include a normal distribution model, a Weibull distribution model, an exponential distribution model, a gamma distribution model, and a logarithmic logistic distribution model, etc., and the first time obtained needs to be distributed fitted according to each distribution model, so as to obtain the fault distribution fitting results corresponding to each distribution model.

[0061] Step S103: determine a target distribution model in the distribution model, and determine a corresponding failure rate function according to the failure distribution fitting result of the target distribution model.

[0062] While fitting the first time according to the preset distribution model, it is necessary to determine the target distribution model in the preset distribution model. Exemplarily, when determining the target distribution model, the Bayesian Information Criterion (BIC) value of each distribution model can be calculated, and the target distribution model can be determined according to the BIC value of each distribution model, wherein the Bayesian Information Criterion is a method used in statistics to select the best model from a finite set of models. In one embodiment, determining the target distribution model in the distribution model includes:

[0063] Step S1031, determine the number of samples according to the number at the first time.

[0064] First, the number of samples input into each distribution model needs to be determined based on the number of first-time samples obtained.

[0065] Step S1032: Determine the Bayesian Information Criterion value of each distribution model according to the number of parameters, likelihood function and number of samples of each distribution model.

[0066] After determining the number of samples, it is necessary to further determine the number of parameters and likelihood functions of each distribution model, where the likelihood function is used to describe the possible values ​​of unknown parameters when the output results of known random variables are known. The likelihood function of each distribution model can refer to the prior art and will not be repeated in this embodiment. Afterwards, the Bayesian Information Criterion value of each distribution model can be determined based on the number of parameters, likelihood function and number of samples of each distribution model. The Bayesian Information Criterion takes into account the number of samples and introduces penalty terms related to the number of parameters of the distribution model during the calculation process. When the number of samples is too large, it can effectively prevent the complexity caused by the excessive precision of the distribution model from being too high, and avoid overfitting. Specifically, the specific formula for calculating the Bayesian Information Criterion value BIC is shown in Formula 1:

[0067] Formula 1

[0068] Where k is the number of parameters of the distribution model, n is the number of samples, and L is the likelihood function.

[0069] Step S1033: Determine the target distribution model according to the Bayesian Information Criterion value of each distribution model.

[0070] After calculating the BIC values ​​of each distribution model, the target distribution model can be determined from the preset distribution models according to the BIC values ​​of each distribution model. Specifically, the smaller the BIC value, the better the performance of the distribution model, so the distribution model with the smallest BIC value can be determined as the target distribution model. Exemplarily, as shown in Table 1, Table 1 is the BIC values ​​corresponding to each distribution model calculated in an embodiment, where the Weibull distribution model has the lowest BIC value, so the Weibull distribution model can be determined as the target distribution model.

[0071] Table 1

[0072]

[0073] After determining the target distribution model, the corresponding failure rate function can be determined based on the fault distribution fitting result of the target distribution model, wherein the failure rate function is a function used to describe the probability of failure of the shielding door. Exemplarily, when the target distribution model is a Weibull distribution model, the shape parameter and the scale parameter can be determined based on the fault distribution fitting result of the target distribution model, wherein the shape parameter is used to characterize the shape of the fault distribution, and the scale parameter is used to characterize the width or amplitude of the fault distribution. Then, the failure rate function of the Weibull distribution model is determined based on the shape parameter and the scale parameter. Specifically, the failure rate function of the Weibull distribution model The calculation formula is shown in Formula 2:

[0074] Formula 2

[0075] In the formula, is the shape parameter, is a scale parameter. In one embodiment, , .

[0076] Step S104: Determine a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model.

[0077] After determining the target distribution model, the reliability threshold at which the shielding door needs preventive maintenance can be further determined based on the fault interval time of the shielding door's historical failures and the target distribution model. Reliability is the ability of the device to complete the predetermined function under the specified time and conditions. When the reliability of the shielding door drops to a certain value, it is necessary to carry out preventive maintenance on the shielding door. The reliability threshold is the reliability when preventive maintenance is required. Preventive maintenance refers to repair and maintenance before a failure occurs. The maintenance effect of preventive maintenance is between perfect repair (repair as new) and minimum repair (restored to the state before the failure). Exemplarily, when determining the reliability threshold, the target fault interval time can be first screened out from the fault interval time, and after determining the corresponding reliability function for calculating the reliability based on the failure rate function of the target distribution model, the reliability threshold is calculated based on the target fault interval time and the reliability function.

[0078] On the basis of the above embodiment, according to the fault interval time and the target distribution model, the reliability threshold of the platform shielding door for preventive maintenance is determined, including:

[0079] Step S1041: Filter out the target fault interval time from the fault interval time.

[0080] In this embodiment, it is first necessary to screen out the target fault interval time from the fault interval time. Specifically, the fault interval time of the shielding door conforms to the normal distribution. The failure interval time within the range is taken as the target failure interval time, where is the expected value of the normal distribution, is the variance of the normal distribution. The expected value and variance can be obtained in advance based on historical data statistics.

[0081] Step S1042: Determine a reliability threshold for preventive maintenance of the shielding door according to the target failure interval time and the target distribution model.

[0082] After the target failure interval is screened, the reliability threshold of the preventive maintenance of the shielding door can be determined according to the target failure interval and the target distribution model. For example, a reliability function corresponding to the target distribution model can be first determined, and after the reliability is calculated according to the reliability function and the target failure interval, the mean of the reliability is calculated to obtain the reliability threshold.

[0083] On the basis of the above embodiment, in step S1042, the reliability threshold for preventive maintenance of the shielding door is determined according to the target failure interval time and the target distribution model, including:

[0084] Step S10421: determine a reliability function corresponding to the target distribution model, where the reliability function is used to calculate reliability.

[0085] In this embodiment, it is first necessary to determine a reliability function corresponding to the target distribution model, wherein the reliability function is used to calculate the reliability. Specifically, in this embodiment, the reliability calculation function can be determined according to the failure rate function of the target distribution model, wherein the reliability function The specific calculation formula is shown in Formula 3:

[0086] Formula 3

[0087] in, t is the duration of the target failure interval, () is the failure rate function of the target distribution model.

[0088] Step S10422: Calculate the first reliability corresponding to each target failure interval time according to the reliability function.

[0089] After the failure rate function is determined, the first reliability corresponding to each target failure interval time may be calculated according to the target failure interval time and the reliability function.

[0090] Step S10423: Calculate the mean value of the first reliability to obtain a reliability threshold for preventive maintenance of the shielding door.

[0091] After determining the first reliability corresponding to each target failure interval, the mean of the first reliability can be calculated to obtain the reliability threshold for preventive maintenance of the shielding door. Specifically, the reliability threshold The calculation formula is shown in Formula 4:

[0092] Formula 4

[0093] In the formula, n represents In the range, there are n target fault intervals, is the i-th target failure interval, in days.

[0094] At present, the reliability thresholds for preventive maintenance in the prior art are all set artificially based on experience, which lacks rationality and has low accuracy. However, in this embodiment, after determining the corresponding reliability function based on the target distribution model, the reliability threshold is calculated by the reliability function and the target failure interval time. Compared with the prior art, this embodiment has higher accuracy and stronger rationality.

[0095] Step S105: Determine a target failure rate function corresponding to different maintenance cycles of the platform shielding door according to the failure rate function, the influence factor of preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate.

[0096] In this embodiment, since preventive maintenance will affect the degradation law of the reliability of the shielding door in the next cycle (from the end of the current maintenance to the occurrence of the next maintenance), the effect of preventive maintenance and the influence of the number of maintenance times on the failure rate need to be comprehensively considered in this embodiment. Specifically, in this embodiment, the failure rate function of the target distribution model needs to be updated according to the influence factor of preventive maintenance on the failure rate and the influence factor of the number of maintenance times on the failure rate, so as to obtain the target failure rate function.

[0097] On the basis of the above embodiment, in step S105, according to the failure rate function, the influence factor of preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate, a target failure rate function corresponding to different maintenance cycles of the platform shielding door is determined, including:

[0098] Step S1051: Determine, according to the influencing factor of preventive maintenance on the failure rate and the failure rate function, a first failure rate function corresponding to different maintenance cycles of the shielding door when preventive maintenance is performed.

[0099] Since each preventive maintenance will improve the reliability of the shielding door, it will not restore the reliability of the shielding door to the best, but to the state at a previous point in time. Assuming that the shielding door is repaired when the reliability drops to the reliability threshold, the maintenance time of the shielding door is , then the maintenance period of the shield door is If the improvement of the reliability of the platform shield door by preventive maintenance is taken into account, the maintenance cycle of the platform shield door is:

[0100]

[0101]

[0102]

[0103] in, Indicates the impact factor of preventive maintenance on the failure rate, used to describe the recovery effect of preventive maintenance on the reliability of the shielding door. The value range is: i represents the i-th maintenance cycle. Taking the improvement effect of preventive maintenance on the shielding door into account in the failure rate function, the first failure rate function corresponding to different maintenance cycles is as follows:

[0104]

[0105]

[0106]

[0107] like Figure 2 As shown, Figure 2 FIG. 1 is a schematic diagram of a failure rate and reliability change of a shielding door provided by an embodiment of the present invention. When the influence of preventive maintenance on the failure rate is not considered, the change trends of the failure rate and reliability are as follows: Figure 2 As shown in (a) and (b) in Figure 3 As shown, Figure 3 FIG. 1 is a schematic diagram of another variation of the failure rate and reliability of a shielding door provided by an embodiment of the present invention. When the influence of preventive maintenance on the failure rate is considered, the variation trend of the failure rate and reliability is as follows: Figure 3 As shown in (a) and (b) in Figure 2 and Figure 3 It can be seen that after each preventive maintenance, the reliability of the shielding door will be improved to a certain extent.

[0108] Step S1052: Determine a second failure rate function corresponding to the number of maintenance times and different maintenance cycles of the shielding door according to the influence factor of the number of maintenance times on the failure rate and the failure rate function.

[0109] After the shielding door is repaired, the failure rate usually changes, resulting in a shorter time for the next maintenance cycle. In order to describe the impact of the number of maintenance times on the failure rate, the influencing factor is introduced. Improve the failure rate function, The value range of is: It shows that the change trend of the failure rate function of the shielding door will accelerate after each maintenance. Considering the influence of the number of maintenance on the failure rate, the expression of the second failure rate function is:

[0110]

[0111]

[0112]

[0113]

[0114] Considering the influence of maintenance times on the failure rate of the shielding door, the changing trends of the failure rate function and the reliability function are as follows: Figure 4 As shown, Figure 4 A schematic diagram of the change of the failure rate and reliability of another shielding door provided by an embodiment of the present invention is shown in FIG. Figure 4 It can be seen that as the number of maintenance times increases, the failure rate and reliability of the shielding door change faster.

[0115] Step S1053: Determine a target failure rate function corresponding to the screen door according to the first failure rate function and the second failure rate function.

[0116] When the influence of preventive maintenance and maintenance times on the failure rate function is comprehensively considered, the target failure rate function corresponding to different maintenance cycles of the shielding door can be determined according to the first failure rate function and the second failure rate function. As shown in Formula 5:

[0117] Formula 5

[0118] Step S106: Determine the maintenance time of the shielding door according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold.

[0119] After determining the target failure rate function, since the target failure rate function only considers the impact of the maintenance process on the failure rate of the shielding door, and does not consider the degradation law of the failure rate of the shielding door in the whole life cycle, it is necessary to further obtain the failure rate change law information of the shielding door in the whole life cycle in this embodiment, wherein the failure rate change law information includes the change of the failure rate in the whole life cycle of the shielding door. Afterwards, according to the target failure rate function and the failure rate change law, the corresponding improved failure rate function in different stages is determined. Afterwards, according to the improved failure rate function, the reliability change function of the shielding door is determined, and according to the reliability threshold and the reliability change function, the maintenance time of the shielding door is determined.

[0120] On the basis of the above embodiment, in step S106, the maintenance time of the shielding door is determined according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold, including:

[0121] Step S1061: Determine the reliability variation function of the shielding door according to the target failure rate function and the failure rate variation rule of the shielding door in the whole life cycle.

[0122] In this embodiment, it is first necessary to divide the entire life cycle of the shielding door into multiple stages according to the failure rate change law of the shielding door throughout its life cycle, and then determine the improved failure rate function corresponding to each stage according to the change of the failure rate in each stage, and then determine the reliability change function of the shielding door according to the improved failure rate function in different stages.

[0123] In one embodiment, in step S1061, determining the reliability variation function of the shielding door according to the target failure rate function and the failure rate variation law information of the shielding door in the whole life cycle includes:

[0124] Step S10611: According to the failure rate variation rule information of the shielding door in the whole life cycle, the whole life cycle is divided into an early failure period, an accidental failure period and a wear and tear failure period.

[0125] In this embodiment, the variation law of the failure rate of the shielding door in the whole life cycle generally follows the variation law of the bathtub curve, such as Figure 5 As shown, Figure 5 A schematic diagram of the variation of the failure rate of a shielding door over its entire life cycle provided by an embodiment of the present invention. Figure 5 In this embodiment, the entire life cycle of the shielding door can be divided into an early failure period, an accidental failure period, and a wear and tear failure period. In the early failure period, as the failure rate gradually decreases, the maintenance cycle is first maintained at a smaller time interval and then gradually increases; in the accidental failure period, the failure rate is maintained at a lower level, and the maintenance cycle can be extended; in the wear and tear failure period, the failure rate gradually increases, and the maintenance cycle needs to be shortened.

[0126] Step S10612: respectively determine the improved failure rate functions corresponding to the early failure period, the accidental failure period, and the loss failure period.

[0127] After the early failure period, accidental failure period and loss failure period are divided, it is necessary to further determine the improved failure rate functions corresponding to the early failure period, accidental failure period and loss failure period. In this embodiment, according to the degradation law of the shielding door at different stages, by adjusting and The value of improves the target failure rate function, thereby obtaining the improved failure rate function corresponding to the early failure period, accidental failure period and loss failure period. Specifically, the improved failure rate function corresponding to each stage is as follows:

[0128]

[0129] in, Corresponding to the end time of the early failure period, The end time of the accidental failure period, is the failure rate function adjustment factor for the early failure period, is the failure rate function adjustment factor for the accidental failure period, is the failure rate function adjustment factor of the wear failure period. The failure rate function adjustment factor can be preset according to the degradation law of the shielding door.

[0130] Step S10613: Determine the reliability variation function of the shielding door according to the improved failure rate functions corresponding to the early failure period, the accidental failure period and the wear failure period respectively.

[0131] After that, the reliability variation function of the shielding door can be determined according to the improved failure rate functions corresponding to the early failure period, the accidental failure period and the loss failure period. Since the reliability function is shown in Formula 3, the reliability variation function with different maintenance cycles is shown in Formula 6:

[0132] Formula 6

[0133] Where R is the reliability.

[0134] Step S1062: Determine the maintenance time of the shielding door according to the reliability threshold and the reliability variation function.

[0135] After determining the reliability change function, substitute the reliability threshold into the reliability change function to calculate the maintenance time of each shield door. The specific value of .

[0136] As described above, the embodiment of the present invention provides a method for determining the maintenance time of the shielding door based on historical data analysis. The embodiment of the present invention obtains the first time when the shielding door fails in history, determines the fault interval time according to the first time, and then determines the reliability threshold of the shielding door maintenance. Then, the influence of preventive maintenance and maintenance times on the shielding door, as well as the degradation speed of the shielding door at different stages are comprehensively considered to calculate the optimized shielding door maintenance cycle. The embodiment of the present invention determines the maintenance time of the shielding door by analyzing the fault interval time and reasonably processing the data, thereby avoiding over-maintenance and under-maintenance of the shielding door, improving the reliability of the shielding door and the operating efficiency of the rail transit, and solving the technical problem that the data processing method in the prior art is simple, resulting in poor reliability of the shielding door.

[0137] In addition, in the process of determining the maintenance time, the embodiment of the present invention takes into account the influence of preventive maintenance and the number of maintenance times on the shield door, so that the maintenance strategy that meets the shield door can be determined according to the change trend of the shield door reliability, thereby improving the accuracy and rationality of determining the maintenance time. In addition, the present invention also takes into account the degradation rule of the shield door in the service stage in accordance with the bathtub curve, and determines the staged failure rate function according to the different degradation speeds of the shield door in different stages, so that the maintenance frequency can be increased in the early failure period and the loss failure period of the shield door, and the maintenance cycle can be appropriately extended in the accidental failure period of the shield door, effectively reducing the downtime of the shield door due to failure, and further improving the safety and reliability of rail transit operation.

[0138] like Figure 6 As shown, Figure 6 A schematic diagram of the structure of a device for determining the maintenance time of a shielding door based on historical data analysis provided by an embodiment of the present invention. The device for determining the maintenance time of a shielding door based on historical data analysis provided by an embodiment of the present invention includes:

[0139] A time determination module 201 is used to determine the first time when each platform screen door of the target rail transit line fails in history, and determine the failure interval time according to the first time;

[0140] A distribution fitting module 202 is used to perform fault time distribution fitting according to the first time and a preset distribution model to obtain a fault distribution fitting result corresponding to each distribution model;

[0141] The model determination module 203 is used to determine the target distribution model in the distribution model, and determine the corresponding failure rate function according to the failure distribution fitting result of the target distribution model;

[0142] A reliability calculation module 204 is used to determine a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model;

[0143] Function determination module 205, for determining target failure rate functions corresponding to different maintenance cycles of the shielding door according to the failure rate function, the influence factor of preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate;

[0144] The maintenance time determination module 206 is used to determine the maintenance time of the shielding door according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold.

[0145] Wherein, the model determination module 203 includes:

[0146] A sample quantity determination submodule, used to determine the sample quantity according to the quantity at the first time;

[0147] The BIC calculation submodule is used to determine the Bayesian information criterion value of each distribution model based on the number of parameters, likelihood function and sample size of each distribution model;

[0148] The target model determination submodule is used to determine the target distribution model according to the Bayesian information criterion value of each distribution model.

[0149] The reliability calculation module 204 includes:

[0150] The target time screening submodule is used to screen out the target fault interval time from the fault interval time;

[0151] The threshold calculation submodule is used to determine the reliability threshold of the preventive maintenance of the shielding door according to the target failure interval time and the target distribution model.

[0152] Among them, the fault interval time conforms to the normal distribution, and the target time screening submodule is specifically used to distribute The failure interval time within the range is taken as the target failure interval time, where is the expected value of the normal distribution, is the variance of the normal distribution.

[0153] Among them, the threshold calculation submodule includes:

[0154] A function determination unit, used to determine a reliability function corresponding to a target distribution model, the reliability function being used to calculate reliability;

[0155] A reliability calculation unit, configured to calculate a first reliability corresponding to each target failure interval according to a reliability function;

[0156] The threshold calculation unit is used to calculate the mean value of the first reliability to obtain the reliability threshold for the preventive maintenance of the shielding door.

[0157] The function determination module 205 includes:

[0158] A first function determination submodule, for determining, according to the influencing factor of preventive maintenance on the failure rate and the failure rate function, a first failure rate function corresponding to different maintenance cycles of the shielding door in the case of preventive maintenance;

[0159] A second function determination submodule, for determining a second failure rate function corresponding to the number of maintenance times and different maintenance cycles of the shielding door according to an influence factor of the number of maintenance times on the failure rate and the failure rate function;

[0160] The target function determination submodule is used to determine a target failure rate function corresponding to the shielding door according to the first failure rate function and the second failure rate function.

[0161] The maintenance time determination module 206 includes:

[0162] A reliability change determination submodule is used to determine the reliability change function of the shielding door according to the target failure rate function and the failure rate change law of the shielding door in the whole life cycle;

[0163] The maintenance time determination submodule is used to determine the maintenance time of the shielding door according to the reliability threshold and the reliability change function.

[0164] Among them, the reliability change determination submodule includes:

[0165] A stage division unit is used to divide the entire life cycle of the shielding door into an early failure period, an accidental failure period and a loss failure period according to the failure rate variation law information of the entire life cycle of the shielding door;

[0166] An improved function determination unit, used to respectively determine improved failure rate functions corresponding to an early failure period, an accidental failure period, and a loss failure period;

[0167] The variation function determination unit is used to determine the reliability variation function of the shielding door according to the improved failure rate functions corresponding to the early failure period, the accidental failure period and the loss failure period respectively.

[0168] The device for determining the maintenance time of a shielding door based on historical data analysis provided in an embodiment of the present invention is included in the equipment for determining the maintenance time of a shielding door based on historical data analysis, and can be used to execute the method for determining the maintenance time of a shielding door based on historical data analysis provided in the above-mentioned embodiment, and has corresponding functions and beneficial effects.

[0169] It is worth noting that in the above-mentioned embodiment of the device for determining the maintenance time of the shielding door based on historical data analysis, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0170] like Figure 7 As shown, the embodiment of the present invention also provides a device for determining the maintenance time of the shielding door based on historical data analysis. Figure 7 The present invention is a flowchart of a device for determining the maintenance time of a platform shielding door based on historical data analysis according to an embodiment of the present invention. The device 30 for determining the maintenance time of a platform shielding door based on historical data analysis includes a processor 300 and a memory 301.

[0171] The memory 301 is used to store the computer program 302 and transmit the computer program 302 to the processor 300;

[0172] The processor 300 is used to execute the steps in the above-mentioned method embodiment for determining the maintenance time of a platform shielding door based on historical data analysis according to the instructions in the computer program 302.

[0173] Exemplarily, the computer program 302 may be divided into one or more modules / units, one or more modules / units are stored in the memory 301, and are executed by the processor 300 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 302 in the device 30 for determining the maintenance time of the shield door based on historical data analysis.

[0174] The device 30 for determining the maintenance time of the shielding door based on historical data analysis can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The device 30 for determining the maintenance time of the shielding door based on historical data analysis can include, but is not limited to, a processor 300 and a memory 301. Those skilled in the art can understand that Figure 7 It is only an example of the device 30 for determining the maintenance time of the shielding door based on historical data analysis, and does not constitute a limitation of the device 30 for determining the maintenance time of the shielding door based on historical data analysis. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the device 30 for determining the maintenance time of the shielding door based on historical data analysis may also include input and output devices, network access devices, buses, etc.

[0175] The processor 300 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0176] The memory 301 may be an internal storage unit of the device 30 for determining the maintenance time of the shielding door based on historical data analysis, such as a hard disk or memory of the device 30 for determining the maintenance time of the shielding door based on historical data analysis. The memory 301 may also be an external storage device of the device 30 for determining the maintenance time of the shielding door based on historical data analysis, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the device 30 for determining the maintenance time of the shielding door based on historical data analysis. Further, the memory 301 may also include both the internal storage unit of the device 30 for determining the maintenance time of the shielding door based on historical data analysis and an external storage device. The memory 301 is used to store computer programs and other programs and data required by the device 30 for determining the maintenance time of the shielding door based on historical data analysis. The memory 301 may also be used to temporarily store data that has been output or is to be output.

[0177] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0178] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0179] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0180] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0181] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store computer programs.

[0182] The embodiment of the present invention further provides a storage medium containing computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to perform a method for determining the maintenance time of a shielding door based on historical data analysis. The method includes the following steps:

[0183] Determine the first time when each platform screen door of the target rail transit line fails in history, and determine the failure interval time based on the first time;

[0184] Perform fault time distribution fitting according to the first time and the preset distribution model to obtain fault distribution fitting results corresponding to each distribution model;

[0185] Determine a target distribution model in the distribution model, and determine a corresponding failure rate function according to a failure distribution fitting result of the target distribution model;

[0186] According to the failure interval time and target distribution model, the reliability threshold of the shield door for preventive maintenance is determined;

[0187] According to the failure rate function, the influence factor of preventive maintenance on the failure rate and the influence factor of the number of maintenance on the failure rate, the target failure rate function corresponding to different maintenance cycles of the shielding door is determined;

[0188] The maintenance time of the shielding door is determined according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold.

[0189] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention are described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. A method for determining the maintenance time of a platform shield door based on historical data analysis, characterized in that: include: Determine the first time when each platform screen door of the target rail transit line fails in history, and determine the failure interval time according to the first time; Performing fault time distribution fitting according to the first time and a preset distribution model to obtain a fault distribution fitting result corresponding to each of the distribution models; Determining a target distribution model in the distribution model, and determining a corresponding failure rate function according to a failure distribution fitting result of the target distribution model; Determining a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model; Wherein, determining the reliability threshold of the preventive maintenance of the screen door according to the fault interval time and the target distribution model includes: Screening out a target fault interval time from the fault interval time; determining a reliability function corresponding to the target distribution model, and determining a reliability threshold for preventive maintenance of the shielding door according to the reliability function and the target fault interval time; Determine a target failure rate function corresponding to different maintenance cycles of the platform shielding door according to the failure rate function, the influence factor of preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate; Wherein, according to the failure rate function, the influence factor of preventive maintenance on the failure rate and the influence factor of the number of maintenance times on the failure rate, determining the target failure rate function corresponding to different maintenance cycles of the platform shielding door comprises: According to the influence factor of preventive maintenance on the failure rate and the influence factor of the number of maintenance on the failure rate, the failure rate function is updated to obtain a target failure rate function corresponding to different maintenance cycles of the shielding door; Determining the maintenance time of the shielding door according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold; The method of determining the maintenance time of the shielding door according to the target failure rate function, the failure rate variation law information of the shielding door in the whole life cycle and the reliability threshold comprises: According to the target failure rate function and the failure rate variation law information of the shielding door throughout its life cycle, the improved failure rate function corresponding to different stages of the entire life cycle is determined; according to the improved failure rate function, the reliability variation function of the shielding door is determined; according to the reliability threshold and the reliability variation function, the maintenance time of the shielding door is determined.

2. The method for determining the maintenance time of a platform shielding door based on historical data analysis according to claim 1, characterized in that: Determining a target distribution model in the distribution model includes: Determining the number of samples according to the number of the first time; Determine the Bayesian information criterion value of each distribution model according to the number of parameters, likelihood function and the number of samples of each distribution model; The target distribution model is determined according to the Bayesian information criterion value of each distribution model.

3. The method for determining the maintenance time of a platform shield door based on historical data analysis according to claim 1, characterized in that: The failure interval time conforms to a normal distribution, and the step of selecting a target failure interval time from the failure interval time comprises: Will be distributed in The failure interval time within the range is taken as the target failure interval time, where is the expected value of the normal distribution, is the variance of the normal distribution.

4. The method for determining the maintenance time of a platform shield door based on historical data analysis according to claim 1, characterized in that: The reliability function is used to calculate the reliability, and the step of determining the reliability threshold for the preventive maintenance of the screen door according to the reliability function and the target failure interval time includes: Calculating a first reliability corresponding to each of the target failure intervals according to the reliability function; The mean value of the first reliability is calculated to obtain a reliability threshold for the preventive maintenance of the shielding door.

5. The method for determining the maintenance time of a platform shielding door based on historical data analysis according to claim 1, characterized in that: The step of determining a target failure rate function corresponding to different maintenance cycles of the platform shielding door according to the failure rate function, the influence factor of the preventive maintenance on the failure rate, and the influence factor of the number of maintenance times on the failure rate comprises: Determining, according to the influencing factor of the preventive maintenance on the failure rate and the failure rate function, a first failure rate function corresponding to different maintenance cycles of the shielding door when the preventive maintenance is performed; Determine, according to the influence factor of the number of maintenance times on the failure rate and the failure rate function, a second failure rate function corresponding to the number of maintenance times and different maintenance cycles of the shielding door; A target failure rate function corresponding to the shielding door is determined according to the first failure rate function and the second failure rate function.

6. The method for determining the maintenance time of a platform shielding door based on historical data analysis according to claim 1, characterized in that: The step of determining the maintenance time of the shielding door according to the target failure rate function, the failure rate variation rule of the shielding door in the whole life cycle, and the reliability threshold comprises: Determining a reliability variation function of the shielding door according to the target failure rate function and a failure rate variation rule of the shielding door over its entire life cycle; The maintenance time of the platform shielding door is determined according to the reliability threshold and the reliability variation function.

7. The method for determining the maintenance time of a platform shielding door based on historical data analysis according to claim 6, characterized in that: Determining the reliability variation function of the shielding door according to the target failure rate function and the failure rate variation law information of the shielding door in the whole life cycle includes: According to the failure rate variation law information of the shielding door in the whole life cycle, the whole life cycle is divided into an early failure period, an accidental failure period and a wear and tear failure period; respectively determining improved failure rate functions corresponding to the early failure period, the accidental failure period, and the wear failure period; The reliability variation function of the shielding door is determined according to the improved failure rate functions corresponding to the early failure period, the accidental failure period and the wear failure period respectively.

8. A device for determining the maintenance time of a shield door based on historical data analysis, characterized in that: include: A time determination module, used to determine the first time when each platform screen door of the target rail transit line has failed in history, and determine the failure interval time according to the first time; A distribution fitting module, used to perform fault time distribution fitting according to the first time and a preset distribution model, and obtain a fault distribution fitting result corresponding to each of the distribution models; A model determination module, used to determine a target distribution model in the distribution model, and determine a corresponding failure rate function according to a failure distribution fitting result of the target distribution model; A reliability calculation module, used to determine a reliability threshold for preventive maintenance of the shielding door according to the fault interval time and the target distribution model; The reliability calculation module is specifically used to select a target fault interval time from the fault interval time; determine a reliability function corresponding to the target distribution model, and determine a reliability threshold for preventive maintenance of the shielding door according to the reliability function and the target fault interval time; A function determination module, used to determine a target failure rate function corresponding to different maintenance cycles of the shielding door according to the failure rate function, an influence factor of preventive maintenance on the failure rate, and an influence factor of the number of maintenance times on the failure rate; The function determination module is specifically used to update the failure rate function according to the influence factor of preventive maintenance on the failure rate and the influence factor of the number of maintenance on the failure rate, so as to obtain the target failure rate function corresponding to the different maintenance cycles of the shielding door; A maintenance time determination module, used to determine the maintenance time of the shielding door according to the target failure rate function, the failure rate change law information of the shielding door in the whole life cycle and the reliability threshold; The maintenance time determination module is specifically used to determine the improved failure rate function corresponding to different stages of the entire life cycle according to the target failure rate function and the failure rate change law information of the shielding door throughout the life cycle; determine the reliability change function of the shielding door according to the improved failure rate function, and determine the maintenance time of the shielding door according to the reliability threshold and the reliability change function.

9. A device for determining the maintenance time of a shield door based on historical data analysis, characterized in that: The device for determining the maintenance time of the shielding door based on historical data analysis includes a processor and a memory; The memory is used to store a computer program and transmit the computer program to the processor; The processor is used to execute the method for determining the maintenance time of a platform shielding door based on historical data analysis according to any one of claims 1 to 7 according to the instructions in the computer program.

10. A storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to execute the method for determining the maintenance time of a platform shield door based on historical data analysis as described in any one of claims 1 to 7.

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