Pantograph-catenary system operation performance evaluation method and system

Abstract

The application discloses a pantograph-catenary system operation performance evaluation method and system; firstly, real-time data is collected, and the collected data is normalized; key hidden dangers existing in power-off risks and needing to run at a reduced speed are screened through a two-stage risk rapid determination mechanism; after the hidden dangers are excluded, the analytic hierarchy process is used to calculate index weights and initial weights of each parameter, and then the improved entropy weight method is used to calculate information entropy of each parameter to determine the dispersion degree, and the parameter weight is dynamically adjusted in real time through the combined weight method; finally, the fuzzy comprehensive evaluation method is used, the parameter weight and the membership degree of each parameter are combined after dynamic adjustment, the operation performance score of each index is calculated, the comprehensive score of the pantograph-catenary system operation performance is obtained, and the performance grade is determined according to the score interval; the method and system are suitable for accurate evaluation of the pantograph-catenary system operation performance in an icing dancing section, and can quickly identify operation risks and scientifically determine the performance grade.

Description

Technical Field

[0001] This invention relates to the field of rail transit power supply system technology, specifically to a method and system for evaluating the operational performance of a pantograph-contact network system. Background Technology

[0002] The pantograph-catenary system, consisting of the pantograph and the overhead contact line, is a crucial device for rail transit vehicles to obtain electrical energy, and its operational performance directly affects the safe and stable operation of trains. In cold regions, the overhead contact line is prone to icing, which can cause it to gallop, affecting the normal contact between the pantograph and the contact line, leading to deterioration of electrical and mechanical performance, and even causing safety accidents. Therefore, accurate assessment of the pantograph-catenary system's operational performance under icing and galloping conditions is of great significance.

[0003] Currently, methods for evaluating the operational performance of pantograph-catenary systems mainly focus on normal operating conditions, with limited research on evaluation under icing and galloping conditions. Existing evaluation methods mostly consider only a single performance indicator, such as contact force or arcing, which fails to comprehensively reflect the operational status of the pantograph-catenary system under icing and galloping conditions. Furthermore, existing evaluation methods exhibit certain subjectivity and limitations in determining indicator weights and comprehensive evaluation, thus the accuracy and reliability of the evaluation results need improvement. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method and system for evaluating the operational performance of pantograph-catenary systems. This method can comprehensively consider icing and galloping conditions, electrical performance, and mechanical performance, accurately assessing the operational performance of the pantograph-catenary system under icing and galloping conditions, and providing a scientific basis for the safe operation of rail transit power supply systems. To achieve the above objective, this invention adopts the following technical solution:

[0005] A method for evaluating the operational performance of a pantograph-contact network system, the method comprising the following steps:

[0006] Collect data on catenary icing and galloping and data on the operation status monitoring of the pantograph-catenary system, process the data, and establish an evaluation system for the operation performance of the pantograph-catenary system under icing and galloping conditions. The evaluation system includes an indicator level and a parameter level. The indicator level includes several indicators, and the parameter level includes various parameters that reflect different indicators.

[0007] For the pantograph-catenary arc rate X in the parameter level 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arcing rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage.

[0008] If the arcing rate of the pantograph-catenary system does not exceed the preset threshold, then adjust the contact wire galloping amplitude X in the parameter level.12 The analysis is performed to determine whether the amplitude of the contact wire galloping exceeds the preset threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed.

[0009] If the arcing rate of the pantograph and the galloping amplitude of the contact wire do not exceed the preset threshold, the weight of each indicator in the indicator hierarchy and the initial weight of each parameter reflecting different indicators are calculated using the analytic hierarchy process.

[0010] Based on the improved entropy weight method, adaptive weight adjustment is achieved through information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight of each parameter, the weight of each parameter under different indicator levels is dynamically adjusted in real time through the combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator.

[0011] The fuzzy comprehensive evaluation method is used to calculate the comprehensive score of the pantograph-catenary system's operating performance by combining the weights of each parameter under different indicator levels after real-time dynamic adjustment and the membership degree of each parameter, and by combining the weights of each indicator. This allows for the determination of the pantograph-catenary system's operating performance level.

[0012] Furthermore, the fuzzy comprehensive evaluation method is used, combining the weights of each parameter at different indicator levels after real-time dynamic adjustment and the membership degree of each parameter, and calculating the comprehensive score of the pantograph-catenary system's operating performance based on the weights of each indicator, to determine the operating performance level of the pantograph-catenary system. This includes the following steps:

[0013] The pantograph-catenary operation performance evaluation level is divided into three levels from high to low: Level 1, Level 2, and Level 3. The scoring range corresponding to each level and the median values ​​A1, A2, and A3 of the scoring range from high to low are determined.

[0014] Membership degree division is performed using a triangular membership function to obtain the index X. k p, the standardized value of the j-th sample of the nth parameter knj Membership degree U of the scoring interval knj :

[0015]

[0016] Where a1 and b1 are the lower and upper limits of the first-level rating interval, a2 and b2 are the lower and upper limits of the second-level rating interval, and a3 and b3 are the lower and upper limits of the third-level rating interval.

[0017] Based on the calculated membership degree of the standardized value of the j-th sample, an index X is constructed to reflect this. k Membership matrix of the j-th sample for each parameter Combined with the obtained dynamic weight matrix W reflecting each parameter of the indicator kjCalculate the comprehensive evaluation vector B for different indicator levels in the j-th sample. kj =W kj ×R kj To obtain the indicator X k Performance scoring at the j-th sample ;

[0018] Based on the weights of each indicator in the obtained indicator hierarchy and the performance score S at the j-th sample... kj The pantograph-catenary system performance score under icing galloping conditions was calculated to be SF. j = q represents the number of indicators in the indicator hierarchy.

[0019] Based on the scoring range of the calculated pantograph-catenary operation performance score, the level of pantograph-catenary operation performance under icing galloping conditions is determined.

[0020] Furthermore, based on the improved entropy weight method, adaptive weight adjustment is achieved through information entropy: by calculating the information entropy of each parameter to determine its dispersion, and combining the initial weights of each parameter, the weights of each parameter at different indicator levels are dynamically adjusted in real time using a combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator. This includes the following steps:

[0021] Calculate the reflection index X k The information entropy H of the j-th sample of the n-th parameter knj :

[0022]

[0023] Where, p knj Indicates the reflection of indicator X k The standardized value of the j-th sample in the n-th parameter, where m represents the number of samples;

[0024] Based on the aforementioned information entropy, the index X is calculated. k The normalized entropy weight W of the effective information content of the j-th sample in the n-th parameter. knj ' :

[0025]

[0026] Based on the normalized entropy weight W of each parameter obtained through calculation knj ' Combined with the obtained initial weights W of each parameter kn The combined weighting method is used to dynamically adjust and calculate the indicator X. k The dynamic weight of the nth parameter for the jth sample :

[0027]

[0028] in, These are the weight allocation coefficients in the combined weighting method;

[0029] Based on the obtained dynamic weights of the parameters of different indicators, a parameter weight matrix for different indicators is constructed to obtain the result reflecting indicator X. k The dynamic weight matrix of the j-th sample for each parameter .

[0030] Furthermore, the Analytic Hierarchy Process (AHP) is used to calculate the weights of each indicator in the indicator hierarchy and the initial weights of the parameters reflecting different indicators, including the following steps:

[0031] When calculating the weights of indicators in an indicator hierarchy using the Analytic Hierarchy Process (AHP), the relative importance of indicators is judged according to the 1-9 scale, and an indicator weight judgment matrix is ​​constructed. After the indicator weight judgment matrix passes the consistency test, the eigenvectors of the indicator weight judgment matrix are calculated and standardized to obtain the indicator X in the indicator hierarchy. k weight W k ;

[0032] The hierarchical analysis method is used to calculate the parameter hierarchy reflection index X. k When assigning initial weights to each parameter, the relative importance of each parameter at the same indicator level is quantified through expert scoring, and an initial weight judgment matrix for the parameters is constructed. k in the matrix nh This indicates that the parameter hierarchy reflects the index X. k The relative importance of the nth parameter compared to the hth parameter, f is the parameter hierarchy reflecting the index X. k The number of parameters;

[0033] Initial weight judgment matrix K Z After passing the consistency test, the eigenvectors of the initial weight judgment matrix are calculated and standardized to obtain the index X. k The initial weight W of the nth parameter kn .

[0034] Furthermore, the indicator hierarchy includes icing and dancing indicator X1, electrical performance indicator X2, and mechanical performance indicator X3;

[0035] The parameter hierarchy includes: parameters reflecting the icing galloping index X1: contact line icing thickness X. 11 Contact line galloping amplitude X 12 Contact line galloping frequency X 13 The parameter reflecting the electrical performance index X2: contact network voltage X 21 Contact point current X 22 Arc rate of pantograph-catenary circuit X 23The parameter reflecting mechanical performance index X3: pantograph-catenary contact force X 31 Vertical movement range X of the pantograph-catenary contact point 32 Hard point X of bow-catenary contact 33 .

[0036] Furthermore, the processing of the collected catenary icing and galloping data and the pantograph-catenary system operation status monitoring data includes outlier removal, missing value imputation, and standardization. Outlier removal employs a 3-step process. The criteria are as follows: missing value imputation uses linear interpolation, and the standardization of sampled data for each parameter uses linear normalization.

[0037] The pantograph-overhead contact system performance evaluation system includes:

[0038] The data acquisition and system operation performance evaluation system construction module is used to collect contact wire icing and galloping data and pantograph-contact wire system operation status monitoring data, process the data, and establish a pantograph-contact wire system operation performance evaluation system under icing and galloping conditions. The evaluation system includes an indicator level and a parameter level. The indicator level includes several indicators, and the parameter level includes various parameters reflecting different indicators.

[0039] The pantograph-catenary arc rate determination module is used to determine the pantograph-catenary arc rate X in the parameter level. 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arcing rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage.

[0040] The contact wire galloping amplitude judgment module is used to determine the contact wire galloping amplitude X in the parameter level if the pantograph-catenary arc rate does not exceed a preset threshold. 12 The analysis is performed to determine whether the amplitude of the contact wire galloping exceeds the preset threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed.

[0041] The weight allocation module is used to calculate the weight of each indicator in the indicator hierarchy and the initial weight of each parameter reflecting different indicators if the arcing rate of the pantograph and the galloping amplitude of the contact wire do not exceed the preset threshold.

[0042] The adaptive weight adjustment module is used to achieve adaptive weight adjustment based on the improved entropy weight method and information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight of each parameter, the weight of each parameter under different indicator levels is dynamically adjusted in real time through the combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator.

[0043] The pantograph-catenary system performance evaluation module uses fuzzy comprehensive evaluation method, combined with the weights and membership degrees of each parameter under different indicator levels after real-time dynamic adjustment, and calculates a comprehensive score of the pantograph-catenary system performance based on the weights of each indicator, to determine the performance level of the pantograph-catenary system.

[0044] Furthermore, the present invention adopts the following technical solution:

[0045] A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the pantograph-contact network system performance evaluation method as described above.

[0046] Furthermore, the present invention adopts the following technical solution:

[0047] 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 pantograph-contact network system performance evaluation method as described above.

[0048] The beneficial technical effect of this invention lies in that, by constructing a complete technical system for evaluating the operational performance of the pantograph-catenary system under icing and galloping conditions, it achieves accurate control over the operational status of the pantograph-catenary system in extreme environments. Specifically, it includes:

[0049] (1) An evaluation system at the indicator level and parameter level was established to cover the key influencing factors of the pantograph-catenary system under the ice-covered dancing scenario. This achieved a multi-dimensional collaborative evaluation of the environment, electrical and mechanical aspects, avoiding evaluation bias caused by one-sided parameters and improving the comprehensiveness and reliability of the evaluation results.

[0050] (2) Establish a graded early warning logic for power outage risk-speed reduction operation, which avoids the one-size-fits-all operation and maintenance strategy, and can help operation and maintenance personnel quickly locate the risk level and take targeted measures, effectively shorten the risk handling time and reduce the probability of pantograph-catenary failure caused by icing and dancing.

[0051] (3) The combined weighting strategy of integrating the analytic hierarchy process and the improved entropy weighting method, compared with the evaluation method of fixed weights, can adapt to the dynamic change characteristics of parameters in the ice-covered dancing scenario in real time, making the weight allocation more in line with the actual operating state of the system and improving the dynamic adaptability and accuracy of the evaluation results.

[0052] (4) To address the issue of parameter ambiguity in the ice-covered dancing scenario, a fuzzy comprehensive evaluation method is adopted. The comprehensive score is calculated by combining dynamically adjusted weights and the performance level is divided. This accurately locates the current performance level of the system, provides more detailed status references for maintenance personnel, and helps the maintenance strategy to shift from passive fault repair to proactive status inspection. Attached Figure Description

[0053] Figure 1 This invention provides an evaluation system for the operational performance of a pantograph-contact network system under icing and galloping conditions, as provided in this embodiment.

[0054] Figure 2 A schematic diagram of the pantograph-contact network system operation performance evaluation method provided in an embodiment of the present invention. Detailed Implementation

[0055] This invention discloses a method and system for evaluating the operational performance of a pantograph-catenary system. The method first collects real-time data on catenary icing and galloping, along with monitoring data on the pantograph-catenary system's operational status. The collected data is then standardized, and a two-level risk assessment mechanism is used to screen for key hazards that pose a risk of power outage and require reduced speed operation. After eliminating hazards, the analytic hierarchy process (AHP) is used to calculate the weights of icing and galloping indices, electrical performance indices, mechanical performance indices, and the initial weights of each parameter. Then, an improved entropy weighting method is used to calculate the information entropy of each parameter to determine its dispersion. Combined with the initial weights, a combined weighting method is used to dynamically adjust the parameter weights in real time. Finally, a fuzzy comprehensive evaluation method is applied, combining the dynamically adjusted parameter weights and the membership degrees of each parameter. First, the operational performance score of each index is calculated, and then the comprehensive operational performance score of the pantograph-catenary system is obtained by combining the index weights. The performance level is determined based on the score range. The method and system proposed in this invention are suitable for accurate performance evaluation of pantograph-catenary systems in icing and galloping sections. They can quickly identify operational risks and scientifically determine performance levels, providing reliable support for the safe and stable operation of pantograph-catenary systems under icing and galloping conditions, and have broad application prospects.

[0056] The pantograph-contact network system operation performance evaluation method and system provided by the present invention will be further described clearly and completely below with reference to the accompanying drawings:

[0057] Example 1

[0058] Figure 1 A performance evaluation system for the pantograph-contact network system under icing and galloping conditions is presented. Figure 2 A schematic diagram of the method for evaluating the operational performance of a pantograph-overhead contact system is provided. The method includes the following steps:

[0059] Step (1): Collect data on ice-covered catenary galloping and monitoring data on the operation status of the pantograph-catenary system, and establish an evaluation system for the operation performance of the pantograph-catenary system under ice-covered galloping conditions. The evaluation system includes an index level and a parameter level.

[0060] The index hierarchy includes icing and galloping index X1, electrical performance index X2, and mechanical performance index X3. The icing and galloping index reflects the impact of icing on the dynamic characteristics of the contact network. The electrical performance index reflects the stability and safety of power supply between the pantograph and the contact network. The mechanical performance index measures the contact state and structural safety between the pantograph sliding plate and the contact network conductor.

[0061] Specifically, in this embodiment, the parameter hierarchy includes parameters reflecting the icing galloping index X1: contact line icing thickness X. 11 Contact line galloping amplitude X 12 Contact line galloping frequency X 13 The parameter reflecting the electrical performance index X2: contact network voltage X 21 Contact point current X 22 Arc rate of pantograph-catenary circuit X 23 The parameter reflecting mechanical performance index X3: pantograph-catenary contact force X 31 Vertical movement range X of the pantograph-catenary contact point 32 Hard point X of bow-catenary contact 33 ;

[0062] Step (2): Standardize the sampled data of each parameter collected in step (1), including outlier removal, missing value imputation and standardization.

[0063] Specifically, the outlier removal uses 3 The criterion is to calculate the mean of the sampled data sequence for each parameter. with standard deviation It will exceed Data within a given interval is identified as outliers and removed; missing values ​​are filled using linear interpolation; and linear normalization is used for standardizing the sampled data for each parameter.

[0064]

[0065] Where, p knj Indicates the reflection of indicator X k The standardized value of the j-th sample of the nth parameter, where m represents the number of samples within the pantograph-contact network system operation performance evaluation period, and x knj Indicates the reflection of indicator X k The j-th sampled value of the nth parameter; it should be noted that data is continuously collected as the electric train runs, and each valid data point is a sample, so the j-th valid data point is the j-th sampled value;

[0066] Step (3): The pantograph-catenary arc rate X, which reflects electrical performance indicators, is... 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arc rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage. Specifically, the maximum value of the pantograph-catenary arc rate data is extracted from the parameter data processed in step (2) and compared with the set pantograph-catenary arc rate threshold. If the maximum value of the pantograph-catenary arc rate data exceeds the pantograph-catenary arc rate threshold, the pantograph-catenary system is judged to be at risk of power outage.

[0067] Step (4): If the arcing rate of the pantograph-catenary circuit does not exceed the preset threshold, meaning there is no risk of power outage, then the contact wire galloping amplitude X, which reflects the icing galloping index, is checked. 12 The analysis is performed to determine whether it exceeds the preset contact wire galloping amplitude threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed. Specifically, according to the pantograph-contact network system operating performance evaluation method under icing galloping conditions provided in this embodiment, the maximum value of the contact wire galloping amplitude data is extracted from the parameter data processed in step (2) and compared with the set contact wire galloping amplitude threshold. If the maximum value of the contact wire galloping amplitude data exceeds the contact wire galloping amplitude threshold, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed.

[0068] Step (5): If the pantograph-catenary arcing rate and the contact wire galloping amplitude do not exceed the preset threshold, then determine the initial weights required for the pantograph-catenary system operation performance evaluation: use the analytic hierarchy process to calculate the weights of the icing galloping index, electrical performance index and mechanical performance index, as well as the initial weights of each parameter reflecting different indexes in the evaluation.

[0069] According to the pantograph-contact network system performance evaluation method under icing and galloping conditions provided in this embodiment, step (5) uses the analytic hierarchy process (AHP) to calculate the icing and galloping index, electrical performance index, and mechanical performance index, as well as the initial weights of each parameter in the evaluation, including the following steps:

[0070] Step (5.1): Calculate the weights of the icing and dancing index X1, electrical performance index X2, and mechanical performance index X3 at the index level using the analytic hierarchy process (AHP). Determine the relative importance of the indices using the 1-9 scaling method, and construct an index weight judgment matrix. , where k ij Indicator X i Compared to indicator X j The relative importance values; in this embodiment, i, j = 1, 2, 3;

[0071] Specifically, when judging the relative importance of indicators using the 1-9 scale, scale 1 indicates equal importance, 3 indicates slightly important, 5 indicates significantly important, 7 indicates strongly important, and 9 indicates extremely important. 2, 4, 6, and 8 represent the median values ​​of adjacent scales, and k... ij =1 / k ij ;

[0072] Step (5.2): Solve the index weight judgment matrix K0 to obtain 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 indicator hierarchy weight judgment matrix. , , , The unit weights of indicators X1, X2, and X3 in the indicator weight judgment matrix K0 are represented and standardized to obtain the weight of the indicator X1 of the indicator hierarchy of ice-covered dancing. Weighting of electrical performance index X2 Weighting of mechanical performance index X3 ;

[0073] Step (5.3): Calculate the parameter hierarchy reflection index X using the Analytic Hierarchy Process (AHP). k The initial weights of each parameter are quantified by expert scoring to determine the relative importance of each parameter at the same indicator level, thus constructing an initial weight judgment matrix for the parameters. k in the matrix nh This indicates that the parameter hierarchy reflects the index X. k The relative importance of the nth parameter compared to the hth parameter, f is the parameter hierarchy reflecting the index X. k The number of parameters; in this embodiment, when Z=X1, f=3, K X1 This represents the initial weight judgment matrix of the parameters reflecting the ice-covering dance index; when Z=X2, f=3, K X2 This represents the initial weight judgment matrix for parameters reflecting electrical performance indicators; when Z=X3, f=3, K X3 This represents the initial weight judgment matrix of parameters reflecting mechanical performance indicators;

[0074] Step (5.4): Initialize the weight judgment matrix K for the parameters. Z Solving for the maximum eigenvalue And calculate the consistency index. If CI is 0, the consistency test is passed, based on the largest eigenvalue obtained. Calculate the eigenvectors of the initial weight judgment matrix. , Indicator X k The nth parameter is in the initial weight judgment matrix K. Z The unit proportions in the data are standardized to obtain the index X. k The initial weight of the nth parameter ;

[0075] Step (6): Based on the improved entropy weight method, adaptive weight adjustment is achieved through information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight, the weight of each parameter under different index levels is dynamically adjusted in real time through the combined weight method.

[0076] The pantograph-contact network system performance evaluation method under icing and galloping conditions provided by the present invention achieves real-time dynamic adjustment of the weights of each parameter at the levels of icing and galloping index, electrical performance index, and mechanical performance index through an improved entropy weight method, including the following steps:

[0077] Step (6.1): Calculate the reflective index X k The information entropy H of the j-th sample of the n-th parameter knj :

[0078]

[0079] In this embodiment, it can be considered that the number of samples should meet the requirement of 100≤m≤1000, so as to reduce the time cost of real-time data processing and analysis while ensuring that the samples effectively reflect the true fluctuation characteristics of the parameters.

[0080] Step (6.2): ​​Calculate the reflection index X based on the aforementioned information entropy. k The normalized entropy weight W of the effective information content of the j-th sample in the n-th parameter. knj ' :

[0081]

[0082] Step (6.3): Based on the calculated normalized entropy weight W of each parameter... knj ' Based on the initial weights of each parameter obtained in step (5), the combined weight method is used to dynamically adjust and calculate the index X. k The dynamic weight of the j-th sample in the n-th parameter :

[0083]

[0084] in, These are the weight allocation coefficients in the combined weighting method;

[0085] Step (6.4): Based on the obtained dynamic weights of the parameters of different indicators, construct the parameter weight matrix of different indicators to obtain the parameter X. k The dynamic weight matrix of the j-th sample for each parameter ;

[0086] It should be noted that in this embodiment, the index hierarchy is divided into icing galloping index X1, electrical performance index X2, and mechanical performance index X3. The parameter hierarchy includes parameters reflecting the icing galloping index X1: contact wire icing thickness X. 11 Contact line galloping amplitude X 12 Contact line galloping frequency X 13The parameter reflecting the electrical performance index X2: contact network voltage X 21 Contact point current X 22 Arc rate of pantograph-catenary circuit X 23 The parameter reflecting mechanical performance index X3: pantograph-catenary contact force X 31 Vertical movement range X of the pantograph-catenary contact point 32 Hard point X of bow-catenary contact 33 Therefore, in this embodiment, there are 3 indicator levels, and each indicator level includes 3 parameters. Thus, for indicator X... k The weight matrix of the j-th sample for each parameter, W k1j W k2j W k3j These are the indicators X. k The dynamic weights of the j-th sample based on the three parameters;

[0087] Step (7): Comprehensive evaluation: Using the fuzzy comprehensive evaluation method, combining the weights of each parameter and the membership degree of each parameter under different indicator levels after real-time dynamic adjustment, and combining the weights of each indicator, calculate the comprehensive score of the pantograph-catenary system operation performance, and determine the pantograph-catenary system operation performance level.

[0088] The method for evaluating the operational performance of a pantograph-contact network system under icing and galloping conditions provided by this invention employs a fuzzy comprehensive evaluation method, combined with dynamically adjusted index weights and membership degrees of each parameter using a combined weighting method, to calculate a comprehensive evaluation value of the pantograph-contact network operational performance, and determines the operational performance level based on the comprehensive evaluation value. The method includes the following steps:

[0089] Step (7.1): Establish a classification of pantograph-catenary operation performance evaluation levels, and divide the pantograph-catenary operation performance into 3 levels: good, average and poor, with corresponding score intervals of [80,100], [60,80) and [0,60), and the corresponding midpoint values ​​of the intervals are 90, 70 and 30, respectively;

[0090] Step (7.2): For the icing and dancing index X1, electrical performance index X2, and mechanical performance index X3, a triangular membership function is used to perform membership division, and the corresponding reflection index X... k The standardized value p of the nth parameter for the jth sample knj Membership degree U of the scoring interval knj for:

[0091]

[0092] Where a1 and b1 are the lower and upper limits of the good grade rating range, a2 and b2 are the lower and upper limits of the average grade rating range, and a3 and b3 are the lower and upper limits of the poor grade rating range.

[0093] Step (7.3): Construct the index X based on the calculated membership degree of the standardized value of the j-th sample. k Membership matrix of the j-th sample , among which, U k1jl U k2jl U k3jl These are the indicators X. k The membership degree of the standardized value of the j-th sample of the three parameters in the l-th scoring interval; combined with the dynamic weight matrix W calculated in step (6). kj Calculate the comprehensive evaluation vector for different indicator levels in the j-th sample. b kj1 b kj2 , bkj3 They are respectively the indicators X k The combined evaluation weight of the three parameters in the j-th sample corresponds to the index X. k The performance score for the j-th sample is ;

[0094] Step (7.4): Based on the index X calculated in step (5) k The initial weights and the performance score S when running on the j-th sample kj The pantograph-catenary system performance score under icing galloping conditions was calculated to be SF. j =W1×S 1j +W2×S 2j +W3×S 3j ;

[0095] Step (7.5): Determine the level of pantograph-catenary operation performance under icing conditions based on the scoring range of the calculated pantograph-catenary operation performance score.

[0096] It should be explained that during the performance evaluation period of the pantograph-catenary system, the pantograph-catenary system performance scores and corresponding performance levels of several samples are obtained, thereby obtaining the pantograph-catenary system performance at different time points. This makes it easier for staff to understand the pantograph-catenary system performance of the road sections they travel through at relevant time points.

[0097] Example 2

[0098] This invention also provides a method for evaluating the operational performance of a pantograph-contact network system, including:

[0099] The data acquisition and system operation performance evaluation system construction module is used to collect contact wire icing and galloping data and pantograph-contact wire system operation status monitoring data, process the data, and establish a pantograph-contact wire system operation performance evaluation system under icing and galloping conditions. The evaluation system includes an indicator level and a parameter level. The indicator level includes several indicators, and the parameter level includes various parameters reflecting different indicators.

[0100] The pantograph-catenary arc rate determination module is used to determine the pantograph-catenary arc rate X in the parameter level. 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arcing rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage.

[0101] The contact wire galloping amplitude judgment module is used to determine the contact wire galloping amplitude X in the parameter level if the pantograph-catenary arc rate does not exceed a preset threshold. 12 The analysis is performed to determine whether the amplitude of the contact wire galloping exceeds the preset threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed.

[0102] The weight allocation module is used to calculate the weight of each indicator in the indicator hierarchy and the initial weight of each parameter reflecting different indicators if the arcing rate of the pantograph and the galloping amplitude of the contact wire do not exceed the preset threshold.

[0103] The adaptive weight adjustment module is used to achieve adaptive weight adjustment based on the improved entropy weight method and information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight of each parameter, the weight of each parameter under different indicator levels is dynamically adjusted in real time through the combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator.

[0104] The pantograph-catenary system performance evaluation module uses fuzzy comprehensive evaluation method, combined with the weights and membership degrees of each parameter under different indicator levels after real-time dynamic adjustment, and calculates a comprehensive score of the pantograph-catenary system performance based on the weights of each indicator, to determine the performance level of the pantograph-catenary system.

[0105] Furthermore, the present invention adopts the following technical solution:

[0106] A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the pantograph-contact network system performance evaluation method as described above.

[0107] Furthermore, the present invention adopts the following technical solution:

[0108] 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 pantograph-contact network system performance evaluation method as described above.

[0109] 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.

[0110] 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 evaluating the operational performance of a pantograph-contact network system, characterized in that, The method includes the following steps: Collect data on catenary icing and galloping and data on the operation status monitoring of the pantograph-catenary system, process the data, and establish an evaluation system for the operation performance of the pantograph-catenary system under icing and galloping conditions. The evaluation system includes an indicator level and a parameter level. The indicator level includes several indicators, and the parameter level includes various parameters that reflect different indicators. For the pantograph-catenary arc rate X in the parameter level 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arcing rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage. If the arcing rate of the pantograph-catenary system does not exceed the preset threshold, then adjust the contact wire galloping amplitude X in the parameter level. 12 The analysis is performed to determine whether the amplitude of the contact wire galloping exceeds the preset threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed. If the arcing rate of the pantograph and the galloping amplitude of the contact wire do not exceed the preset threshold, the weight of each indicator in the indicator hierarchy and the initial weight of each parameter reflecting different indicators are calculated using the analytic hierarchy process. Based on the improved entropy weight method, adaptive weight adjustment is achieved through information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight of each parameter, the weight of each parameter under different indicator levels is dynamically adjusted in real time through the combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator. The fuzzy comprehensive evaluation method is used to combine the weights of each parameter and the membership degree of each parameter under different indicator levels after real-time dynamic adjustment, and to calculate the comprehensive score of the pantograph-catenary system operation performance based on the weights of each indicator, so as to determine the operation performance level of the pantograph-catenary system. The fuzzy comprehensive evaluation method is used, combining the weights and membership degrees of each parameter under different indicator levels after real-time dynamic adjustment, and calculating the comprehensive score of the pantograph-catenary system's operating performance based on the weights of each indicator, to determine the operating performance level of the pantograph-catenary system. This includes the following steps: The pantograph-catenary operation performance evaluation level is divided into three levels from high to low: Level 1, Level 2, and Level 3. The scoring range corresponding to each level and the median values ​​A1, A2, and A3 of the scoring range from high to low are determined. Membership degree division is performed using a triangular membership function to obtain the index X. k p, the standardized value of the j-th sample of the nth parameter knj Membership degree U of the scoring interval knj : ； Where a1 and b1 are the lower and upper limits of the first-level rating interval, a2 and b2 are the lower and upper limits of the second-level rating interval, and a3 and b3 are the lower and upper limits of the third-level rating interval. Based on the calculated membership degree of the standardized value of the j-th sample, an index X is constructed to reflect this. k Membership matrix of the j-th sample for each parameter Combined with the obtained dynamic weight matrix W reflecting each parameter of the indicator kj Calculate the comprehensive evaluation vector B for different indicator levels in the j-th sample. kj =W kj ×R kj To obtain the indicator X k Performance scoring at the j-th sample ; Based on the weights of each indicator in the obtained indicator hierarchy and the performance score S at the j-th sample... kj The pantograph-catenary system performance score under icing galloping conditions was calculated to be SF. j = q represents the number of indicators in the indicator hierarchy; Based on the scoring range of the calculated pantograph-catenary operation performance score, the level of pantograph-catenary operation performance under icing galloping conditions is determined.

2. The method for evaluating the operational performance of a pantograph-contact network system according to claim 1, characterized in that, Based on the improved entropy weight method, adaptive weight adjustment is achieved through information entropy: by calculating the information entropy of each parameter to determine its dispersion, and combining the initial weights of each parameter, the weights of each parameter at different indicator levels are dynamically adjusted in real time using a combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator. This includes the following steps: Calculate the reflection index X k The information entropy H of the j-th sample of the n-th parameter knj : ； Where, p knj Indicates the reflection of indicator X k The standardized value of the j-th sample in the n-th parameter, where m represents the number of samples; Based on the aforementioned information entropy, the index X is calculated. k The normalized entropy weight W of the effective information content of the j-th sample in the n-th parameter. knj ' : ； Based on the normalized entropy weight W of each parameter obtained through calculation knj ' Combined with the obtained initial weights W of each parameter kn The combined weighting method is used to dynamically adjust and calculate the indicator X. k The dynamic weight of the nth parameter at the jth sample : ； in, These are the weight allocation coefficients in the combined weighting method; Based on the obtained dynamic weights of the parameters of different indicators, a parameter weight matrix for different indicators is constructed to obtain the result reflecting indicator X. k The dynamic weight matrix of the j-th sample for each parameter .

3. The method for evaluating the operational performance of a pantograph-contact network system according to claim 1, characterized in that, The Analytic Hierarchy Process (AHP) is used to calculate the weights of each indicator in the indicator hierarchy and the initial weights of each parameter reflecting different indicators. This includes the following steps: When calculating the weights of indicators in an indicator hierarchy using the Analytic Hierarchy Process (AHP), the relative importance of indicators is judged according to the 1-9 scale, and an indicator weight judgment matrix is ​​constructed. After the indicator weight judgment matrix passes the consistency test, the eigenvectors of the indicator weight judgment matrix are calculated and standardized to obtain the indicator X in the indicator hierarchy. k weight W k ; The hierarchical analysis method is used to calculate the parameter hierarchy reflection index X. k When assigning initial weights to each parameter, the relative importance of each parameter at the same indicator level is quantified through expert scoring, and an initial weight judgment matrix for the parameters is constructed. k in the matrix nh This indicates that the parameter hierarchy reflects the index X. k The relative importance of the nth parameter compared to the hth parameter, f is the parameter hierarchy reflecting the index X. k The number of parameters; Initial weight judgment matrix K Z After passing the consistency test, the eigenvectors of the initial weight judgment matrix are calculated and standardized to obtain the index X. k The initial weight W of the nth parameter kn .

4. The method for evaluating the operational performance of a pantograph-contact network system according to claim 1, characterized in that, The indicator hierarchy includes icing and dancing indicator X1, electrical performance indicator X2, and mechanical performance indicator X3; The parameter hierarchy includes: parameters reflecting the icing galloping index X1: contact line icing thickness X. 11 Contact line galloping amplitude X 12 Contact line galloping frequency X 13 The parameter reflecting the electrical performance index X2: contact network voltage X 21 Contact point current X 22 Arc rate of pantograph-catenary circuit X 23 The parameter reflecting mechanical performance index X3: pantograph-catenary contact force X 31 Vertical movement range X of the pantograph-catenary contact point 32 Hard point X of bow-catenary contact 33 .

5. The method for evaluating the operational performance of a pantograph-contact network system according to claim 1, characterized in that, The processing of collected catenary icing and galloping data and pantograph-catenary system operation status monitoring data includes outlier removal, missing value imputation, and standardization. Outlier removal employs a 3-step process. The criteria are as follows: missing value imputation uses linear interpolation, and the standardization of sampled data for each parameter uses linear normalization.

6. A pantograph-contact network system operation performance evaluation system, used to implement the pantograph-contact network system operation performance evaluation method according to any one of claims 1-5, characterized in that, include: The data acquisition and system operation performance evaluation system construction module is used to collect contact wire icing and galloping data and pantograph-contact wire system operation status monitoring data, process the data, and establish a pantograph-contact wire system operation performance evaluation system under icing and galloping conditions. The evaluation system includes an indicator level and a parameter level. The indicator level includes several indicators, and the parameter level includes various parameters reflecting different indicators. The pantograph-catenary arc rate determination module is used to determine the pantograph-catenary arc rate X in the parameter level. 23 The analysis is performed to determine whether it exceeds the preset pantograph-catenary arcing rate threshold. If it does, the pantograph-catenary system is directly judged to be at risk of power outage. The contact wire galloping amplitude judgment module is used to determine the contact wire galloping amplitude X in the parameter level if the pantograph-catenary arc rate does not exceed a preset threshold. 12 The analysis is performed to determine whether the amplitude of the contact wire galloping exceeds the preset threshold. If it does, it is determined that the pantograph-contact network system is difficult to maintain its operating performance and needs to be operated at a reduced speed. The weight allocation module is used to calculate the weight of each indicator in the indicator hierarchy and the initial weight of each parameter reflecting different indicators if the arcing rate of the pantograph and the galloping amplitude of the contact wire do not exceed the preset threshold. The adaptive weight adjustment module is used to achieve adaptive weight adjustment based on the improved entropy weight method and information entropy: by calculating the information entropy of each parameter, its degree of dispersion is determined, and combined with the initial weight of each parameter, the weight of each parameter under different indicator levels is dynamically adjusted in real time through the combined weight method, thereby obtaining a dynamic weight matrix reflecting each parameter of the indicator. The pantograph-catenary system performance evaluation module uses fuzzy comprehensive evaluation method, combined with the weights and membership degrees of each parameter under different indicator levels after real-time dynamic adjustment, and calculates a comprehensive score of the pantograph-catenary system performance based on the weights of each indicator, to determine the performance level of the pantograph-catenary system.

7. 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 pantograph-contact system performance evaluation method as described in any one of claims 1 to 5.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the pantograph-contact network system performance evaluation method as described in any one of claims 1 to 5.

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