Method and system for evaluating reliability of overhead contact system under icing flutter condition

Abstract

The application discloses an icing galloping condition-based reliability evaluation method and system for a catenary system, and relates to the technical field of catenary system reliability evaluation.The method comprises the following steps: collecting catenary icing galloping data in real time, using a rain flow counting method to perform load conversion and statistics of each catenary component in icing galloping, using Miner cumulative damage theory to calculate the reliability of the components under the icing galloping condition, using an analytic hierarchy process to perform weight distribution of the catenary system, and based on the reliability of each component under the icing galloping condition and the weight distribution result, evaluating the reliability of the catenary system of the data collection anchor section until the evaluation task is completed.The method and system provided by the application are suitable for catenary system operation reliability evaluation in an icing galloping section, can provide support for catenary system operation and maintenance after icing galloping occurs, and have a wide application prospect.

Description

Technical Field

[0001] This invention belongs to the field of condition assessment, and in particular relates to a method and system for assessing the reliability of overhead contact system under icing and galloping conditions. Background Technology

[0002] In cold climates, ice forms on the surface of the overhead contact line. When this iced line is subjected to specific wind speeds and directions, it is highly susceptible to galloping. Galloping can lead to fatigue damage to the lines, loosening of clamps, and even breakage or detachment of insulators, seriously threatening the safe and stable operation of the overhead contact line and consequently affecting the normal operation of the railway. Traditional reliability assessment methods for overhead contact lines do not consider the impact of icing galloping conditions on various components, making it impossible to guide maintenance after icing galloping occurs. Existing research on icing galloping primarily focuses on its developmental behavior, which, while revealing some risks, does not fully consider the comprehensive impact of icing galloping on the reliable operation of the overhead contact line system. Therefore, developing a method and system that can comprehensively and accurately assess the reliability of the overhead contact line system under icing galloping conditions, comprehensively considering the degree and importance of damage to various components under these conditions, and improving the effectiveness of overhead contact line system assessment, is of crucial practical significance for ensuring the safe and efficient operation of railway transportation. Summary of the Invention

[0003] To address the problems existing in the background art, the purpose of this invention is to provide a method for reliability assessment of a catenary system under icing and galloping conditions, the method comprising the following steps:

[0004] Load data of multiple components of the overhead contact system under icing and galloping conditions were collected to establish an overhead contact system reliability assessment system. The assessment system includes an index level and a parameter level. The index level includes several indicators, and the parameter level includes parameters of different components that reflect different indicators.

[0005] The load values ​​of the icing and galloping parameters of each component reflecting the index are standardized. The processed load values ​​of the icing and galloping parameters of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and galloping load of each component is constructed using moment estimation.

[0006] Based on the distribution function of the ice-covered galloping load of each component, the Miner cumulative damage theory is used to establish a damage accumulation mathematical model for each component at the parameter level, and the reliability of each component at the parameter level under ice-covered galloping conditions is calculated.

[0007] Based on the function of each component in the overhead contact system, its impact on the normal operation of the system, and the severity of the consequences of a fault, the Analytic Hierarchy Process (AHP) is used to allocate weights and determine the weight values ​​of each component in the index and parameter levels.

[0008] The reliability of the contact wire system of the data acquisition anchor section is evaluated based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions.

[0009] Furthermore, the processed icing and galloping load values ​​of each component are converted and statistically analyzed using the rainflow counting method. A moment estimation method is then used to construct the distribution function of the icing and galloping load for each component, including the following steps:

[0010] Rainflow counting method was used to analyze the processed response index level X. k The galloping parameters of the m-th component at each monitoring location are converted into loads, and the random load data at each monitoring location are divided into cyclic loads of different amplitudes. The statistical index level is X. k The load amplitude of the m-th component at each monitoring location is A. km,j Number of loops n km,j Calculate the average number of iterations n km,jp with standard deviation ;

[0011] A method of moment estimation is used to construct a hierarchical structure X reflecting the index. k The j-th amplitude of the m-th component is Cyclic load vibration number distribution function .

[0012] Furthermore, based on the distribution function of the icing galloping load of each component, a damage accumulation mathematical model is established for each component at the parameter level using Miner's cumulative damage theory. The method for calculating the reliability of each component at the parameter level under icing galloping conditions is as follows:

[0013] S301, Based on the indicator level X k The load amplitude of the m-th component is The cyclic load was measured, and the number of cyclic load lifetimes with different amplitudes was obtained. The average number of cyclic load lifetimes N was then calculated. km,j with standard deviation ;

[0014] S302. Constructing a hierarchical index X using moment estimation. k The load amplitude of the m-th component is Cyclic load lifetime number distribution function ;

[0015] S303, Based on the constructed reflection indicator hierarchy X k The load amplitude of the m-th component is Cyclic load vibration number distribution function Cyclic load lifetime distribution function Monte Carlo simulation method was used to reflect the hierarchical index X. k The load amplitude of the m-th component is The number of cyclic load vibrations and the number of cyclic load lifetimes are sampled to obtain the simulated number of cyclic load lifetimes, n. km,jc and the number of simulated cyclic load lifespans N km,jc ;

[0016] S304. Calculate the reflection index level X obtained from each random sampling using Miner's cumulative damage theory. k Damage to the m-th component under icing and galloping conditions Where h represents the level of indicator X k The number of different load amplitudes of the m-th component under monitored icing and galloping conditions will be Record as invalid;

[0017] S305. Repeat steps S303 and S304 at least 1000 times, count the number of failures in the total number of times, and calculate the indicator level X. k The reliability of the m-th component under icing and galloping monitoring conditions is: .

[0018] Furthermore, based on the function of each component at the parameter level in the overhead contact system, its impact on normal system operation, and the severity of fault consequences, the analytic hierarchy process (AHP) is used to allocate weights and determine the weight values ​​of each component at the index and parameter levels. This includes the following steps:

[0019] The weights of the indicator levels are calculated using the Analytic Hierarchy Process (AHP). The relative importance of the indicators is judged according to the 1-9 scale, and an indicator level weight judgment matrix is ​​constructed. After the indicator level weight judgment matrix passes the consistency test, the eigenvectors of the indicator level weight judgment matrix are calculated and standardized to obtain the weight W of the k-th indicator level. k ;

[0020] The hierarchical parameter reflection index X is calculated using the analytic hierarchy process. k The weights of each component parameter are quantified by expert scoring to determine the relative importance of each component parameter at the same indicator level, thus constructing a component parameter weight judgment matrix. k in the matrix mn This indicates that the parameter hierarchy reflects the index X. kThe relative importance of the m-th component parameter compared to the n-th component parameter, f is the parameter hierarchy indicator X. k The number of component parameters; the component parameter weight judgment matrix K Z After passing the consistency test, the eigenvectors of the component parameter weight judgment matrix are calculated and standardized to obtain the reflecting index X. k The weight W of the m-th component parameter km .

[0021] Furthermore, based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions, the reliability of the contact wire system in the data acquisition anchor section is evaluated, including the following steps:

[0022] Based on the indicator hierarchy X k The reliability R of the m-th component under icing and galloping conditions km With the reflection index X k The weight W of the m-th component parameter km Calculate the indicator level X k The reliability is f is the indicator X k The number of component parameters;

[0023] The reliability of the overhead contact system for the monitoring anchor section of the ice-covered galloping was obtained as follows: W k q is the weight of the k-th indicator level, and q is the number of indicators in the indicator level.

[0024] Based on the obtained reliability R of the overhead contact system catenary The reliability of the overhead contact system is compared with the set threshold of the overhead contact system to obtain the reliability assessment results of the overhead contact system under icing and galloping conditions.

[0025] Furthermore, the indicator hierarchy includes contact suspension indicator X1 and additional suspension indicator X2;

[0026] The parameter hierarchy reflecting the contact suspension index X1 includes: contact line galloping parameter X. 11 Parameter X of cable galloping 12 Parameter X of string swaying 13 Electrical connection galloping parameter X 14 Elastic sling swing parameter X 15 Positioning device gyration parameters X 16 Support device dancing parameters X 17 ;

[0027] The parameter hierarchy reflecting the additional suspension index X2 includes: positive feedline (or reinforcement line) galloping parameter X. 21 Parameter X of protective wire (or overhead ground wire) galloping 22Insulator galloping parameters X 23 Suspension clamp swaying parameter X 24 , Connect jumper cable dancing parameter X 25 .

[0028] A reliability assessment system for overhead contact line systems under icing and galloping conditions includes:

[0029] The data acquisition and evaluation system establishment module is used to collect load value data of multiple components of the catenary under icing and galloping conditions, and to establish a catenary reliability evaluation system. The evaluation system includes an index level and a parameter level. The index level includes several indicators, and the parameter level includes different component parameters that reflect different indicators.

[0030] The data processing module is used to standardize the icing and dancing load values ​​of each component that reflect the index. The processed icing and dancing load values ​​of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and dancing load of each component is constructed using moment estimation.

[0031] The component reliability acquisition module is used to establish a damage accumulation mathematical model for each component at the parameter level based on the distribution function of the ice-covered galloping load of each component, and to calculate the reliability of each component at the parameter level under ice-covered galloping conditions.

[0032] Weight allocation module: It is used to allocate weights based on the function of each component in the catenary system, its impact on the normal operation of the system, and the severity of the consequences of a fault, using the analytic hierarchy process (AHP) to determine the weight values ​​of each component at the index level and parameter level.

[0033] The overhead contact system reliability assessment module is used to assess the reliability of the overhead contact system in the data acquisition anchor section based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions.

[0034] Furthermore, the present invention adopts the following technical solution:

[0035] A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the reliability assessment method for a catenary system under icing and galloping conditions as described above.

[0036] Furthermore, the present invention adopts the following technical solution:

[0037] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the reliability assessment method for the overhead contact system under icing and galloping conditions as described above.

[0038] The beneficial technical effect of this invention lies in the fact that, by constructing a complete technical system for reliability assessment of the overhead contact system under icing and galloping conditions, it achieves accurate control over the operating status of the overhead contact system in extreme environments.

[0039] (1) Real-time collection of ice-covered galloping data and combined with rain flow counting method for load conversion and statistics can truly reflect the stress characteristics of each component during dynamic galloping, providing a high-precision data foundation for subsequent reliability analysis and breaking through the limitations of general load calculation in traditional assessment.

[0040] (2) The reliability of components is calculated based on Miner’s cumulative damage theory, and the system weight allocation is completed through the analytic hierarchy process. This not only ensures the scientific nature of the damage assessment of individual components, but also realizes the hierarchical reliability integration from components to the system, making the assessment results more consistent with the actual operating logic of the overhead contact system.

[0041] (3) This method and system are specifically designed for the high-risk condition of ice-covered galloping. They can be directly applied to the operation and maintenance of the overhead contact system in the ice-covered galloping section. They provide a quantitative basis for determining the maintenance priority, fault warning and maintenance strategy after galloping occurs, significantly improving the safety guarantee capability of the railway power supply system under extreme weather conditions. They have important engineering application value and broad prospects for promotion. Attached Figure Description

[0042] Figure 1 A schematic diagram of the overhead contact line reliability assessment system under icing and galloping conditions;

[0043] Figure 2 This is a schematic diagram of the reliability assessment method for overhead contact line systems under icing and galloping conditions provided by the present invention. Detailed Implementation

[0044] This invention discloses a method and system for reliability assessment of overhead contact system under icing and galloping conditions. The method includes real-time acquisition of overhead contact system icing and galloping data; using rainflow counting to convert and statistically analyze the loads of each overhead contact system component under icing and galloping conditions; calculating the reliability of components under icing and galloping conditions using Miner's cumulative damage theory; and performing weight allocation of the overhead contact system using the analytic hierarchy process (AHP). Based on the reliability and weight allocation results of each component under icing and galloping conditions, the reliability of the overhead contact system in the data acquisition anchor section is assessed until the assessment task is completed. The method and system proposed in this invention are applicable to the reliability assessment of overhead contact system operation in icing and galloping sections, and can provide support for the operation and maintenance of the overhead contact system after icing and galloping occurs, with broad application prospects.

[0045] The following, in conjunction with the accompanying drawings, provides a clearer and more complete description of the reliability assessment method and system for overhead contact lines under icing and galloping conditions provided by the present invention:

[0046] Example 1

[0047] Figure 1 A reliability assessment system for overhead contact line systems under icing and galloping conditions is presented. Figure 2 A schematic flowchart of the reliability assessment method for overhead contact line systems under icing and galloping conditions provided by this invention is given. The method includes the following steps:

[0048] S1. Collect load data of multiple components of the overhead contact system under icing and galloping conditions, and establish an overhead contact system reliability assessment system;

[0049] The evaluation system includes an indicator level and a parameter level. The indicator level includes contact suspension indicator X1 and additional suspension indicator X2. The parameter level includes icing and dancing parameters of different components that reflect contact suspension indicator X1 and additional suspension indicator X2, respectively. It should be noted that the contact suspension indicator includes parameters of multiple core components that support the power transmission between the contact network and the electric train, used to describe the reliability of power transmission and suspension structure stability of the contact network. The additional suspension indicator includes parameters of multiple auxiliary components that maintain power transmission of the contact network, used to describe the reliability of electrical protection and connection structure of the contact network. The contact suspension indicator and the additional suspension indicator together cover the reliability assessment of the contact network system.

[0050] Specifically, in this embodiment, the parameter hierarchy reflecting the contact suspension index X1 may include: contact line galloping parameter X. 11 Parameter X of cable galloping 12 Parameter X of string swaying 13 Electrical connection galloping parameter X 14 Elastic sling swing parameter X 15 Positioning device gyration parameters X 16 Support device dancing parameters X 17 Among them, the contact wire is the conductor that directly contacts the electric train to transmit electrical energy; the catenary is the conductor that is fixedly installed on the support device and suspended by the dropper; the dropper is installed between the contact wire and the catenary to maintain the height of the contact wire; the electrical connection is installed between different anchor sections of the contact network to realize the electrical connection between different sections of the contact network; the elastic sling is fixedly installed on the catenary near the positioning point to improve the elasticity of the contact network; the positioning device is fixed on the support device and connected to the contact wire to realize the geometric position adjustment of the contact wire; the support device is fixedly installed on the support column to support the various components of the contact suspension and transfer the suspension load to the foundation;

[0051] Specifically, in this embodiment, the parameter hierarchy reflecting the additional suspension index X2 may also include: positive feedline (or reinforcing line) galloping parameter X. 21 Parameter X of protective wire (or overhead ground wire) galloping 22Insulator galloping parameters X 23 Suspension clamp swaying parameter X 24 , Connect jumper cable dancing parameter X 25 Among them, the positive feeder and the contact wire work together to undertake the task of traction current return to ensure the integrity of the power transmission circuit; the protective wire can conduct lightning current to the ground or limit fault current to ensure personnel safety; the insulator keeps the live parts of the contact network insulated from the grounded parts; the suspension clamp is used to fix and suspend the additional conductors; the jumper wire realizes the electrical connection and transition between different equipment; the reinforcing wire is used to enhance the current carrying capacity of the contact network and improve the stability of the power supply system; the overhead ground wire is erected at the top of the contact network support to conduct lightning current to the ground; it should be noted that the two common power supply methods for electrified railways are AT power supply and direct power supply. In AT power supply, the additional conductors are the positive feeder and the protective wire, while in direct power supply, the additional conductors are the reinforcing wire and the overhead ground wire.

[0052] S2. The load values ​​of the icing and dancing parameters of each component reflecting the index level are standardized, and the load conversion and statistics are performed by rainflow counting method. The distribution function of the icing and dancing load of each component is constructed by moment estimation.

[0053] Specifically, in this embodiment, the icing and dancing parameter load values ​​of each component at the parameter level are processed, including the following steps:

[0054] S201, will reflect the indicator level X k The galloping parameter load value X of the m-th component at each monitoring position km Cleaning is performed to remove noise and outliers; it should be noted that the icing and galloping load values ​​of each component are obtained by image processing after non-contact video monitoring.

[0055] S202. The rainflow counting method is used to analyze the processed reflection index level X. k The galloping parameters of the m-th component at each monitoring location are converted into loads, and the random load data at each monitoring location are divided into cyclic loads of different amplitudes. The statistical index level is X. k The load amplitude of the m-th component at each monitoring location is A. km,j Number of loops n km,j Calculate the average number of cycles n for each monitoring location. km,jp with standard deviation ;

[0056] Of course, rainflow counting is a mature method. In this embodiment: for the processed load time history data, all extreme points in the load time history are identified and marked to obtain a discrete load feature point sequence composed of peak and valley values. Small load data are removed by setting a threshold. Based on the processed peak-valley discrete load feature point sequence, different complete load cycles are established according to the "valley-peak-valley" structure, and the load amplitude of each cycle is recorded.

[0057] S203. Select the normal distribution as the load distribution function, and use the mean and standard deviation of the loads as the sample origin moments and sample central moments, respectively, to construct a model reflecting the index hierarchy X. k The load amplitude of the m-th component is Cyclic load vibration number distribution function ;

[0058] S3. Use Miner's cumulative damage theory to establish a cumulative damage mathematical model for each component at the parameter level, and calculate the reliability of each component at the parameter level under icing and galloping conditions.

[0059] According to the reliability assessment method for the overhead contact system under icing and galloping conditions provided in this embodiment, the damage of each component is calculated using Miner's cumulative damage theory, including the following steps:

[0060] S301, Based on the indicator level X k The load amplitude of the m-th component is The cyclic load is used to obtain the number of cyclic load lifetimes with different amplitudes by combining cyclic load fatigue tests or finite element fatigue simulations, and the average number of cyclic load lifetimes N is calculated. km,j with standard deviation ;

[0061] S302. A normal distribution is chosen as the distribution function for the number of cyclic load lifetimes. The lifetime mean and standard deviation are used as the sample origin moments and sample central moments, respectively, to construct a hierarchy X reflecting the index. k The load amplitude of the m-th component is Cyclic load lifetime number distribution function ;

[0062] S303, Based on the constructed reflection indicator hierarchy X k The load amplitude of the m-th component is Cyclic load vibration number distribution function Cyclic load lifetime distribution function Monte Carlo simulation method was used to reflect the hierarchical index X. k The load amplitude of the m-th component is By sampling the number of cyclic load vibrations and the number of cyclic load lifetimes, the simulated number of cyclic load vibrations n is obtained. km,jc and the number of simulated cyclic load lifespans N km,jc The sampling process provides multiple sets of random sample data for subsequent calculation of component damage using Miner's cumulative damage theory;

[0063] S304. Calculate the reflection index level X obtained from each random sampling using Miner's cumulative damage theory. k Damage to the m-th component under icing and galloping conditions Where h represents the level of indicator X k The number of different load amplitudes of the m-th component under monitored icing and galloping conditions will be Record as invalid;

[0064] S305. Repeat steps S303 and S304 at least 1000 times, count the number of failures in the total number of times, and calculate the indicator level X. k The reliability of the m-th component under icing and galloping monitoring conditions is: .

[0065] S4. Based on the function of each component in the overhead contact system, its impact on the normal operation of the system, and the severity of the consequences of a fault, the analytic hierarchy process (AHP) is used to assign weights and determine their weight values.

[0066] According to the reliability assessment method for overhead contact system under icing and galloping conditions provided in this embodiment, the weight allocation for reliability analysis is performed using the analytic hierarchy process (AHP), including the following steps:

[0067] S401. The weights of the contact suspension index X1 and the additional suspension index X2 at the indicator level are calculated using the analytic hierarchy process (AHP). The relative importance of the indicators is judged according to the 1-9 scale, where scale 1 indicates equal importance, 3 indicates slightly important, 5 indicates significantly important, 7 indicates strongly important, 9 indicates extremely important, and 2 / 4 / 6 / 8 represent the median values ​​of adjacent scales. An indicator level weight judgment matrix is ​​then constructed. k 12 The indicator hierarchy reflects the relative importance of contact suspension indicator X1 compared to additional suspension indicator X2, k 21 The indicator hierarchy reflects the relative importance of the additional suspension indicator X2 compared to the contact suspension indicator X1; the reciprocal indicates the inverse importance, i.e., k. 12 =1 / k 21 ;

[0068] S402. Solve for the maximum eigenvalue of the indicator hierarchy weight judgment matrix K0. And calculate the consistency index. If CI is 0, the consistency test is passed, based on the largest eigenvalue obtained. Calculate the eigenvector of the indicator hierarchy weight judgment matrix. ,in, , The unit weights of indicators X1 and X2 in the indicator hierarchy weight judgment matrix K0 are standardized to obtain the weight of the contact suspension indicator X1 at the indicator hierarchy. Weighting of additional suspension index X2 ;

[0069] S403. Calculate the parameter hierarchy reflection index X using the Analytic Hierarchy Process (AHP). k The weights of each component parameter are quantified by expert scoring to determine the relative importance of each component parameter at the same indicator level, thus constructing a component parameter weight judgment matrix. k in the matrix mn This indicates that the parameter hierarchy reflects the index X. k The relative importance of the m-th component parameter compared to the n-th component parameter, f is the indicator X. k The number of component parameters; when Z=X1, f=7, K X1 This represents the component parameter weight judgment matrix reflecting the contact suspension index; when Z=X2, f=5, K X2 This represents the component parameter weight judgment matrix that reflects the additional suspension indicators;

[0070] S404, Judgment matrix K for component parameter weights Z Solving for the largest eigenvalue And calculate the consistency index. If CI is 0, the consistency test is passed, based on the largest eigenvalue obtained. Calculate the eigenvector of the component parameter weight judgment matrix. ,in, Representative indicator X k The m-th component parameter is in the component parameter weight judgment matrix K Z The unit proportions in the data are standardized to obtain the index X. k Weight of the m-th component parameter ;

[0071] S5. Based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions, the reliability of the contact wire system of the data acquisition anchor section is evaluated.

[0072] According to the contact wire system reliability assessment method under icing and galloping conditions provided in this embodiment, the reliability of the contact wire system in the data acquisition anchor section is assessed based on the reliability of each component and the weights of the parameter hierarchy and the weights of the index hierarchy, including the following steps:

[0073] S501. Based on the reflection index level X k The reliability R of the m-th component under the monitored ice-covered galloping condition km And the reflection index X k The parameter weight W of the m-th component km , calculate the reliability of the index level X k as ;

[0074] S502. Obtain the reliability of the catenary system of the ice-covered galloping monitoring section as ;

[0075] S503. According to the obtained reliability R of the catenary system catenary , divide the reliability of the catenary system according to the thresholds R1, R2, and R3. When R catenary > R1, the catenary system is in a high-reliability operation state; when R2 < R catenary < R1, the catenary system is in a medium-reliability operation state and needs to strengthen monitoring; when R3 < R catenary < R2, the catenary system is in a low-reliability operation state and needs to combine the reliability and weight data of the index level (catenary suspension index X1, additional suspension index X2) and parameter level (such as the galloping parameter X of the contact wire 11 , the galloping parameter X of the carrier cable 12 , the galloping parameter X of the dropper 13 , the galloping parameter X of the electrical connection 14 , the galloping parameter X of the elastic sling 15 , the galloping parameter X of the positioning device 16 , the galloping parameter X of the support device 17 ) to locate the weak links and carry out targeted maintenance; when R catenary < R3, the catenary system is in a dangerous state and needs to be immediately shut down for a comprehensive overhaul.

[0076] It should be noted that the thresholds R1, R2, and R3 are comprehensively determined according to the requirements of the railway catenary operation management department and the fatigue life test data of the key components of the catenary. When the catenary reliability threshold is low, it indicates that the probability of the catenary failure is high, which will affect the normal operation of the railway. Generally, R1 can be set to 0.9999, R2 is set around 0.99, and R3 is set to 0.95. When the catenary reliability is less than 0.95, it is unacceptable for the operation management department.

[0077] Under the ice-covered galloping condition, when actually evaluating the reliability of the catenary system, repeat the above steps S1 to S5, complete the reliability evaluation of the catenary systems of all ice-covered galloping monitoring sections until the evaluation task ends.

[0078] Example 2

[0079] This invention also provides a reliability assessment system for overhead contact line systems under icing and galloping conditions, comprising:

[0080] The data acquisition and evaluation system establishment module is used to collect load value data of multiple components of the catenary under icing and galloping conditions, and to establish a catenary reliability evaluation system. The evaluation system includes an index level and a parameter level. The index level includes several indicators, and the parameter level includes different component parameters that reflect different indicators.

[0081] The data processing module is used to standardize the icing and dancing load values ​​of each component that reflect the index. The processed icing and dancing load values ​​of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and dancing load of each component is constructed using moment estimation.

[0082] The component reliability acquisition module is used to establish a damage accumulation mathematical model for each component at the parameter level based on the distribution function of the ice-covered galloping load of each component, and to calculate the reliability of each component at the parameter level under ice-covered galloping conditions.

[0083] Weight allocation module: It is used to allocate weights based on the function of each component in the catenary system, its impact on the normal operation of the system, and the severity of the consequences of a fault, using the analytic hierarchy process (AHP) to determine the weight values ​​of each component at the index level and parameter level.

[0084] The overhead contact system reliability assessment module is used to assess the reliability of the overhead contact system in the data acquisition anchor section based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions.

[0085] Furthermore, the present invention adopts the following technical solution:

[0086] A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the reliability assessment method for a catenary system under icing and galloping conditions as described above.

[0087] Furthermore, the present invention adopts the following technical solution:

[0088] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the reliability assessment method for the overhead contact system under icing and galloping conditions as described above.

[0089] From the above description of the embodiments, those skilled in the art will clearly understand that the facilities of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Embodiments of the present invention can be implemented using existing processors, or by dedicated processors used for this or other purposes for suitable systems, or by hardwired systems. Embodiments of the present invention also include non-transitory computer-readable storage media, comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon; such machine-readable media can be any available medium accessible by a general-purpose or special-purpose computer or other machine with a processor. For example, such machine-readable media can include RAM, ROM, EPROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices, or any other medium that can be used to carry or store the required program code in the form of machine-executable instructions or data structures and is accessible by a general-purpose or special-purpose computer or other machine with a processor. When information is transmitted or provided to a machine via a network or other communication connection (hardwired, wireless, or a combination of hardwired and wireless), that connection is also considered a machine-readable medium.

[0090] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for reliability assessment of overhead contact line systems under icing and galloping conditions, characterized in that, The method includes the following steps: Load data of multiple components of the overhead contact system under icing and galloping conditions were collected to establish an overhead contact system reliability assessment system. The assessment system includes an index level and a parameter level. The index level includes several indicators, and the parameter level includes parameters of different components that reflect different indicators. The icing and galloping load values ​​of each component reflecting the index are processed. The processed icing and galloping load values ​​of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and galloping load of each component is constructed using moment estimation. Based on the distribution function of the ice-covered galloping load of each component, the Miner cumulative damage theory is used to establish a damage accumulation mathematical model for each component at the parameter level, and the reliability of each component at the parameter level under ice-covered galloping conditions is calculated. Based on the function of each component in the overhead contact system, its impact on the normal operation of the system, and the severity of the consequences of a fault, the Analytic Hierarchy Process (AHP) is used to allocate weights and determine the weight values ​​of each component in the index and parameter levels. The reliability of the contact wire system of the data acquisition anchor section is evaluated based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions. Based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions, the reliability of the contact wire system in the data acquisition anchor section is evaluated, including the following steps: Based on the indicator hierarchy X k The reliability R of the m-th component under icing and galloping conditions km With the reflection index X k The weight W of the m-th component parameter km Calculate the indicator level X k The reliability is f is the indicator X k The number of component parameters; The reliability of the overhead contact system for the monitoring anchor section of the ice-covered galloping was obtained as follows: W k q is the weight of the k-th indicator level, and q is the number of indicators in the indicator level. Based on the obtained reliability R of the overhead contact system catenary The reliability of the overhead contact system is compared with the set threshold of the overhead contact system to obtain the reliability assessment results of the overhead contact system under icing and galloping conditions.

2. The method for reliability assessment of a catenary system under icing and galloping conditions according to claim 1, characterized in that, The processed icing and galloping load values ​​of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and galloping load of each component is constructed using moment estimation, including the following steps: Rainflow counting method was used to analyze the processed response index level X. k The galloping parameters of the m-th component at each monitoring location are converted into loads, and the random load data at each monitoring location are divided into cyclic loads of different amplitudes. The statistical index level is X. k The load amplitude of the m-th component at each monitoring location is A. km,j Number of loops n km,j Calculate the average number of iterations n km,jp with standard deviation ; A method of moment estimation is used to construct a hierarchical structure X reflecting the index. k The j-th amplitude of the m-th component is Cyclic load vibration number distribution function .

3. The method for reliability assessment of a catenary system under icing and galloping conditions according to claim 1, characterized in that, Based on the distribution function of the icing and galloping load of each component, a mathematical model for cumulative damage is established for each component at the parameter level using Miner's cumulative damage theory. The method for calculating the reliability of each component at the parameter level under icing and galloping conditions is as follows: S301, Based on the indicator level X k The load amplitude of the m-th component is The cyclic load was measured, and the number of cyclic load lifetimes with different amplitudes was obtained. The average number of cyclic load lifetimes N was then calculated. km,j with standard deviation ; S302. Constructing a hierarchical index X using moment estimation. k The load amplitude of the m-th component is Cyclic load lifetime number distribution function ; S303, Based on the constructed reflection indicator hierarchy X k The load amplitude of the m-th component is Cyclic load vibration number distribution function Cyclic load lifetime distribution function Monte Carlo simulation method was used to reflect the hierarchical index X. k The load amplitude of the m-th component is The number of cyclic load vibrations and the number of cyclic load lifetimes are sampled to obtain the simulated number of cyclic load lifetimes, n. km,jc and the number of simulated cyclic load lifespans N km,jc ; S304. Calculate the reflection index level X obtained from each random sampling using Miner's cumulative damage theory. k Damage to the m-th component under icing and galloping conditions Where h represents the level of the indicator X k The number of different load amplitudes of the m-th component under monitored icing and galloping conditions will be Record as invalid; S305. Repeat steps S303 and S304 at least 1000 times, count the number of failures in the total number of times, and calculate the indicator level X. k The reliability of the m-th component under icing and galloping monitoring conditions is: .

4. The reliability assessment method for a catenary system under icing and galloping conditions according to claim 1, characterized in that, Based on the function of each component at the parameter level in the overhead contact system, its impact on normal system operation, and the severity of fault consequences, the Analytic Hierarchy Process (AHP) is used to allocate weights and determine the weight values ​​of each component at the index and parameter levels. This includes the following steps: The weights of the indicator levels are calculated using the Analytic Hierarchy Process (AHP). The relative importance of the indicators is judged according to the 1-9 scale, and an indicator level weight judgment matrix is ​​constructed. After the indicator level weight judgment matrix passes the consistency test, the eigenvectors of the indicator level weight judgment matrix are calculated and standardized to obtain the weight W of the k-th indicator level. k ; The hierarchical parameter reflection index X is calculated using the analytic hierarchy process. k The weights of each component parameter are quantified by expert scoring to determine the relative importance of each component parameter at the same indicator level, thus constructing a component parameter weight judgment matrix. k in the matrix mn This indicates that the parameter hierarchy reflects the index X. k The relative importance of the m-th component parameter compared to the n-th component parameter, f is the parameter hierarchy indicator X. k The number of component parameters; the component parameter weight judgment matrix K Z After passing the consistency test, the eigenvectors of the component parameter weight judgment matrix are calculated and standardized to obtain the reflecting index X. k The weight W of the m-th component parameter km .

5. The method for reliability assessment of a catenary system under icing and galloping conditions according to claim 1, characterized in that, The indicator hierarchy includes contact suspension indicator X1 and additional suspension indicator X2; The parameter hierarchy reflecting the contact suspension index X1 includes: contact line galloping parameter X. 11 Parameter X of cable galloping 12 Parameter X of string swaying 13 Electrical connection galloping parameter X 14 Elastic sling swing parameter X 15 Positioning device gyration parameters X 16 Support device dancing parameters X 17 ; The parameter hierarchy reflecting the additional suspension index X2 includes: positive feeder / reinforcement line galloping parameter X. 21 Protective wire / overhead ground wire galloping parameter X 22 Insulator galloping parameters X 23 Suspension clamp swaying parameter X 24 , Connect jumper cable dancing parameter X 25 .

6. The method for reliability assessment of a catenary system under icing and galloping conditions according to claim 1, characterized in that, The threshold of the overhead contact system is determined by combining the requirements of the railway overhead contact system operation and management department with the fatigue life test data of key components of the overhead contact system. The lower the threshold of the overhead contact system, the higher the probability of the overhead contact system failure.

7. A reliability assessment system for a catenary system under icing and galloping conditions, used to implement the reliability assessment method for a catenary system under icing and galloping conditions as described in any one of claims 1-6, characterized in that, include: The data acquisition and evaluation system establishment module is used to collect load value data of multiple components of the catenary under icing and galloping conditions, and to establish a catenary reliability evaluation system. The evaluation system includes an index level and a parameter level. The index level includes several indicators, and the parameter level includes different component parameters that reflect different indicators. The data processing module is used to standardize the icing and dancing load values ​​of each component that reflect the index. The processed icing and dancing load values ​​of each component are converted and statistically analyzed using the rainflow counting method. The distribution function of the icing and dancing load of each component is constructed using moment estimation. The component reliability acquisition module is used to establish a damage accumulation mathematical model for each component at the parameter level based on the distribution function of the ice-covered galloping load of each component, and to calculate the reliability of each component at the parameter level under ice-covered galloping conditions. Weight allocation module: It is used to allocate weights based on the function of each component in the catenary system, its impact on the normal operation of the system, and the severity of the consequences of a fault, using the analytic hierarchy process (AHP) to determine the weight values ​​of each component at the index level and parameter level. The overhead contact system reliability assessment module is used to assess the reliability of the overhead contact system in the data acquisition anchor section based on the reliability and weight values ​​of each component at the parameter level under icing and galloping conditions.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for assessing the reliability of a catenary system under icing and dancing conditions as described in any one of claims 1 to 6.

9. 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, it implements the method for evaluating the reliability of the overhead contact system under icing and dancing conditions as described in any one of claims 1 to 6.

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