Platform and method for processing detection data aiming at abrasion of carbon slide plate of pantograph

Abstract

The invention relates to a detection data processing platform and method for abrasion of a pantograph carbon slide plate, and belongs to the technical field of electric digital data processing. Calculating an external disturbance presentation value for the total detection time period according to the pressure value in the total detection time period combined with the dispersion difference of the acceleration value; synchronously and continuously acquiring the relative displacement value between the lead and the pantograph carbon contact strip at each time, acquiring the time interval of the pantograph carbon contact strip for each time of detection, and determining the relative displacement value transmitted by corresponding sampling at each detection time period; processing the relative displacement value sampled in the total detection period; and displaying the retained relative displacement value as a sorted relative displacement value. The defects that in the prior art, clutter values are often brought to the sampled relative displacement values serving as abrasion indexes in the abrasion detection period of the pantograph carbon contact strip, and the sampled relative displacement values transmitted to a computer terminal are not accurate are effectively overcome.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric digital data processing, and in particular relates to a data processing platform and method for detecting wear of a carbon slide plate of a pantograph. Background Art

[0002] The pantograph carbon slide is a core component for electric locomotives, high-speed trains, subways and other rail transit vehicles to obtain electricity from the contact network. Its performance directly affects the stability and safety of train operation.

[0003] In terms of performing wear detection on the pantograph carbon slide, as mentioned in the prior art solution with patent publication number "CN113777105B", it includes an insulating plate fixedly connected to the pantograph carbon slide, and a fiber optic displacement sensor connected to a processor is fixedly connected to the insulating plate. The processor is also connected to a computer terminal for communication. The fiber optic displacement sensor is used to transmit the relative displacement value between the sampled wire and the pantograph carbon slide to the processor, and the processor is used to transmit the relative displacement value between the transmitted wire and the pantograph carbon slide to the computer terminal for display. The relative displacement value is used as an indicator of the wear of the pantograph carbon slide.

[0004] However, during the transmission of the relative displacement value between the wire and the pantograph carbon slide between the optical fiber displacement sensor, the processor and the computer terminal, there is currently no concern about the sudden disturbance of the relative displacement value by the external magnetic field, which will bring noise values to the sampled relative displacement value, resulting in inaccurate relative displacement values sampled and transmitted to the computer terminal. Summary of the Invention

[0005] In order to solve the defects in the existing technology, the present invention proposes a data processing platform and method for detecting the wear of the pantograph carbon slide. The present invention effectively avoids the defects in the existing technology that during the wear detection of the pantograph carbon slide, the sampled relative displacement value used as the wear indicator often introduces noise values and the relative displacement value sampled and transmitted to the computer terminal is inaccurate.

[0006] The present invention utilizes the following technical solutions.

[0007] A method for processing detection data of pantograph carbon slide wear, comprising:

[0008] The optical fiber displacement sensor transmits the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor, and the processor transmits the relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal sorts the relative displacement value and displays the sorted relative displacement value.

[0009] The method for performing sorting of relative displacement values by a computer terminal includes:

[0010] Step 1: Continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance value of the total detection period based on the dispersion difference of the pressure value and acceleration value during the total detection period;

[0011] Step 2: Synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate each time, obtain the time interval when the pantograph carbon slide plate completes each detection, and determine the relative displacement value transmitted by the corresponding sampling in each detection period;

[0012] Step 3: Determine the type of external disturbance during the total detection period based on the external disturbance presentation value, and process the relative displacement values sampled during the total detection period;

[0013] Step 4: Display the retained relative displacement value as the sorted relative displacement value.

[0014] Preferably, Step 1 specifically includes:

[0015] The external disturbance presentation value for the detection period is calculated according to the following equation:

[0016]

[0017] In the equation, F is the external disturbance value, X is the maximum pressure value of the pantograph, and Qj represents the acceleration value of the pantograph sampled at the jth time point during the total detection period. represents the average of the acceleration values from the starting time point to the U-th time point of the sampling within the total detection period, and X0 is the average of the pressure values from the starting time point to the U-th time point of the sampling within the total detection period defined in advance.

[0018] Preferably, in Step 3, performing the processing is: confirming the availability of the detection period based on the difference between the external disturbance presentation values corresponding to each detection period and the adjacent detection period, performing selection for the relative displacement values in the available detection period, which includes dividing the available detection period into a plurality of sub-periods, confirming the mutation sub-period based on the mean of the intensity values of the regression line corresponding to the relative displacement values in the sub-periods, and retaining the relative displacement values of the non-mutation sub-periods in the available detection period;

[0019] Alternatively, whether the detection period meets the approximate benchmark is determined based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

[0020] Preferably, Step 3 specifically includes:

[0021] The method for determining the type of external disturbance during the total detection period based on the external disturbance presentation value is as follows:

[0022] If the external disturbance presentation value is not lower than the pre-defined external disturbance presentation value benchmark threshold, it is confirmed that the total detection period is a high external disturbance type;

[0023] If the external disturbance presentation value is lower than a predefined reference threshold value of the external disturbance presentation value, it is confirmed that the total detection period is of the low external disturbance type.

[0024] Preferably, Step 3 further includes:

[0025] If the total detection period is of the high external disturbance type, the availability of the detection period is determined based on the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection period, and the relative displacement values in the available detection period are selected, which includes dividing the available detection period into multiple sub-periods, determining the mutation sub-period based on the average of the intensity values of the regression line corresponding to the relative displacement values in the sub-periods, and retaining the relative displacement values of the non-mutation sub-periods in the available detection period;

[0026] If the total detection period is of the low external disturbance type, the detection period is confirmed whether it meets the approximate benchmark based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

[0027] Preferably, Step 3 further includes:

[0028] The method for determining the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection periods is:

[0029] Determine the external disturbance presentation value of a single detection period, determine the external disturbance presentation value of the adjacent detection period of the single detection period, calculate the reduction obtained by subtracting the external disturbance presentation value of the adjacent detection period from the external disturbance presentation value of the single detection period, and then calculate the average of each reduction, which is the difference between the corresponding external disturbance presentation value of each detection period and the adjacent detection period.

[0030] Preferably, Step 3 further includes:

[0031] The method for confirming the availability of a detection period based on the difference in the corresponding external disturbance presentation value between each detection period and the adjacent detection period is as follows:

[0032] If the mean is within the predefined mean benchmark critical value range, the detection period is confirmed to be available;

[0033] If the mean is outside the predefined mean benchmark critical value range, the detection period is confirmed to be unusable.

[0034] Preferably, Step 3 further includes:

[0035] The method for identifying the mutation sub-period based on the mean intensity value of the regression line corresponding to the relative displacement value in the sub-period is:

[0036] The quantity obtained by subtracting the mean of the relative displacement values of the sub-period from the mean of the intensity values of the regression line corresponding to the relative displacement values in the available detection period is calculated, and this quantity is defined as the intensity value mean reduction η, where |η| is the mean reduction modulus;

[0037] If the mean reduction modulus is not lower than the predefined strength value distinction threshold, the sub-period is confirmed to be a mutation sub-period;

[0038] If the mean reduction modulus is lower than the predefined intensity value distinction threshold, the sub-period is confirmed to be a non-mutation sub-period.

[0039] Preferably, Step 3 further includes:

[0040] The method for calculating the approximate amount of relative displacement value in all detection periods in the total detection period is:

[0041] Calculate the corresponding regression line of the relative displacement value in each detection period;

[0042] The coefficient of determination between the regression lines corresponding to the relative displacement values in each detection period is calculated and the coefficient of determination is determined as an approximate quantity.

[0043] Preferably, Step 3 further includes:

[0044] The method for confirming whether the test period meets the approximate standard based on the approximate amount of the relative displacement value in all the test periods in the total test period is:

[0045] If the approximation amount is not lower than the pre-defined approximation amount benchmark critical value, it is confirmed that the approximation benchmark is met;

[0046] If the approximation amount is lower than a predefined approximation amount benchmark threshold, it is determined that the approximation benchmark is not met.

[0047] A detection data processing platform for pantograph carbon slide wear, comprising:

[0048] An insulating plate fixedly connected to the pantograph carbon slide is fixedly connected to a fiber optic displacement sensor connected to a processor. The processor is also connected to a computer terminal for communication. The fiber optic displacement sensor is used to transmit the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor. The processor is used to transmit the transmitted relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal is used to organize the relative displacement value and display the organized relative displacement value.

[0049] The modules running on the computer terminal include:

[0050] A calculation module, which is used to continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance presentation value for the total detection period based on the dispersion difference between the pressure value and the acceleration value in the total detection period;

[0051] The identification module is used to synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate at each time, obtain the time interval when the pantograph carbon slide plate completes each detection, and identify the relative displacement value transmitted by the corresponding sampling in each detection period;

[0052] a processing module, which is used to identify the type of external disturbance in the total detection period according to the external disturbance presentation value, and perform processing on the relative displacement values sampled in the total detection period;

[0053] The display module is used to display the stored relative displacement value as the sorted relative displacement value.

[0054] Preferably, a pressure sensor connected to the processor is provided on the top end face of the pantograph, a slide is provided on the top of the pressure sensor, and an acceleration sensor connected to the processor is provided on the slide. The pressure sensor is used to sample the pressure value borne by the pantograph and transmit it to the processor, and the acceleration sensor is used to sample the acceleration value of the pantograph and transmit it to the processor.

[0055] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0056] By continuously obtaining the maximum pressure value and acceleration value of the pantograph, calculating the external disturbance presentation value for the total detection period, continuously obtaining the relative displacement value between the conductor and the pantograph carbon plate, obtaining the time interval for the pantograph to complete a detection, determining the corresponding relative displacement value for each detection period, and determining the type of external disturbance in the total detection period based on the external disturbance presentation value, the relative displacement values sampled in the total detection period are processed. The present invention relates to the noise value caused by the sampling of the relative displacement value during the operation of the pantograph, reasonably processing the sampled relative displacement value, and improving the safety and availability of the sampled relative displacement value.

[0057] In addition, the present invention relates to calculating an external disturbance presentation value based on the pressure value borne by the pantograph and the acceleration value of the pantograph. In specific applications, the pantograph may induce sudden disturbances in the external magnetic field, and because the operation scene of the pantograph is very chaotic, it also has some vibration properties under its operation condition, which is not conducive to the normal operation performance of the pantograph. During the operation of the pantograph, the vibration properties will cause the pressure value and acceleration value borne by the pantograph to fluctuate, thereby affecting the wear condition of the pantograph carbon slide. Such fluctuations often cause increased wear of the pantograph carbon slide, and will include a lot of clutter values in the sampled relative displacement value. Therefore, the present invention calculates the external disturbance presentation value to reflect the degree of external disturbance, and supports the subsequent classification of external disturbance types. Then, the relative displacement value is reasonably processed according to the external disturbance type, thereby improving the safety and availability of the sampled relative displacement value.

[0058] In addition, for the types of high external disturbances, since many clutter values are included, the present invention utilizes the timing of the pantograph operation, involving the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection period to confirm the availability of the detection period. In specific applications, since the operation rules of the pantograph are timing operations, the operation conditions of different detection periods are the same, so the corresponding relative displacement values in different detection periods have some approximation, and the effect of external disturbances on the relative displacement values is not a continuous and orderly effect. Therefore, for the above situation, the availability of the detection period is confirmed based on the difference in the external disturbance presentation values of adjacent detection periods, and the relative displacement values obtained in the available detection periods are used to determine the availability of the detection period. Then, the noise values are selected and removed to improve the safety and availability of the sampled relative displacement values; for the type of low external disturbance, the present application similarly involves the use of the timing of the pantograph operation, and verifies whether the detection period meets the approximate benchmark based on the approximate amount of the relative displacement values in all detection periods of the total detection period. In this case, because the pantograph is not subject to much disturbance, the relative displacement values in each detection period do not carry much noise value and are very approximate. Therefore, the relative displacement value of a single detection period represents the relative displacement value of the entire detection period. Under the condition of ensuring safety, the number of relative displacement values to be analyzed is reduced, and the amount of work for the computer terminal to perform analysis on the relative displacement value is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flow chart of the detection data processing method for pantograph carbon slide wear described in the present invention;

[0060] Figure 2 It is a partial structural diagram of the detection data processing platform for pantograph carbon slide wear described in the present invention. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the present invention more clear, the following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely express the technical solutions of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. Based on the spirit of the present invention, other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0062] like Figure 1 As shown, the present invention provides a method for processing detection data for pantograph carbon slide wear, comprising:

[0063] The fiber optic displacement sensor transmits the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor. The processor transmits the relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal organizes the relative displacement value and displays it. The relative displacement value is used as an indicator of pantograph carbon slide wear.

[0064] The method for performing sorting of relative displacement values by a computer terminal includes:

[0065] Step 1: Continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance value of the total detection period based on the dispersion difference of the pressure value and acceleration value during the total detection period;

[0066] Step 2: Synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate each time, obtain the time interval for the pantograph carbon slide plate to complete each detection (the time interval is the time interval between the starting time point and the ending time point of the detection, and the time interval is also the detection period of a detection), and determine the relative displacement value transmitted by the corresponding sample in each detection period; the time interval of each detection is obtained by equally dividing the total detection period according to specific requirements, and the total detection period is the total detection time for the pantograph carbon slide plate wear.

[0067] Step 3: Determine the type of external disturbance in the total detection period according to the external disturbance presentation value, and perform processing on the relative displacement values sampled in the total detection period; the total detection period includes detection periods of multiple consecutive detections.

[0068] In a preferred but non-limiting embodiment of the present invention, in Step 3, the processing is performed by: confirming the availability of the detection period based on the difference between the external disturbance presentation value corresponding to each detection period and the adjacent detection period, performing selection for the relative displacement value in the available detection period, which includes dividing the available detection period into a plurality of sub-periods (the method for dividing the available detection period into a plurality of sub-periods is: the available detection period can be equally divided into a plurality of sub-periods of a pre-defined number), confirming the mutation sub-period based on the mean intensity value of the regression line corresponding to the relative displacement value in the sub-period, and retaining the relative displacement value of the non-mutation sub-period in the available detection period;

[0069] Alternatively, whether the detection period meets the approximate benchmark is determined based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

[0070] Step 4: The relative displacement value saved in Step 3 is displayed as the sorted relative displacement value.

[0071] In a preferred but non-limiting embodiment of the present invention, Step 1 specifically comprises:

[0072] The external disturbance presentation value for the detection period is calculated according to the following equation:

[0073]

[0074] In the equation, F is the external disturbance presentation value, X is the maximum pressure value of the pantograph (the maximum pressure value can be found in the pantograph's factory manual), and Qj represents the acceleration value of the pantograph sampled at the jth time point during the total detection period. represents the average acceleration value from the sampling start point to the Uth time point (where the time point is the sampling time point) within the total detection period. X0 is the predefined average pressure value from the sampling start point to the Uth time point (where the time point is the sampling time point) within the total detection period. The value of U can be determined based on specific requirements and is often the sampling time point of the first detection. It is to detect the dispersion difference of pressure values in the total period. It is to detect the dispersion difference of acceleration values in the total time period.

[0075] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically comprises:

[0076] The method for determining the type of external disturbance during the total detection period based on the external disturbance presentation value is as follows:

[0077] If the external disturbance presentation value is not lower than the pre-defined external disturbance presentation value benchmark threshold, it is confirmed that the total detection period is a high external disturbance type;

[0078] If the external disturbance presentation value is lower than the pre-defined external disturbance presentation value baseline threshold, the total detection period is confirmed to be a low external disturbance type. The baseline threshold of the external disturbance presentation value can be set according to specific requirements.

[0079] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0080] If the total detection period is of the high external disturbance type, the availability of the detection period is confirmed based on the difference in the corresponding external disturbance presentation value of each detection period and the adjacent detection period, and selection is performed for the relative displacement value in the available detection period, which includes dividing the available detection period into multiple sub-periods, confirming the mutation sub-period based on the average intensity value of the regression line corresponding to the relative displacement value in the sub-period, and retaining the relative displacement value of the non-mutation sub-period in the available detection period; the adjacent detection period of the detection period is the previous detection period or the next detection period of the detection period.

[0081] If the total detection period is of the low external disturbance type, the detection period is confirmed whether it meets the approximate benchmark based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

[0082] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0083] The method for determining the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection periods is:

[0084] Determine the external disturbance presentation value of a single detection period, determine the external disturbance presentation value of the adjacent detection period of the single detection period, calculate the reduction obtained by subtracting the external disturbance presentation value of the adjacent detection period from the external disturbance presentation value of the single detection period, and then calculate the average of each reduction, which is the difference between the corresponding external disturbance presentation value of each detection period and the adjacent detection period.

[0085] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0086] The method for confirming the availability of a detection period based on the difference in the corresponding external disturbance presentation value between each detection period and the adjacent detection period is as follows:

[0087] If the mean is within the predefined mean benchmark critical value range, the detection period is confirmed to be available;

[0088] If the mean is outside the predefined mean benchmark critical value range, the detection period is confirmed to be unusable.

[0089] The pre-defined mean benchmark critical value interval can be [20%, 30%].

[0090] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0091] The method for identifying the mutation sub-period based on the mean intensity value of the regression line corresponding to the relative displacement value in the sub-period is:

[0092] Calculate the mean intensity value of the regression line corresponding to the relative displacement values in the available detection period (the calculation method of the mean intensity value is as follows: the sampling time point of the relative displacement value in the available detection period is regarded as the independent variable, and the relative displacement value in the available detection period is regarded as the dependent variable, and the least squares method is used to obtain the regression line corresponding to the relative displacement value in the available detection period, and then the definite integral of the regression line in the available detection period is obtained, and the quotient obtained by dividing the value of the definite integral by the duration of the available detection period is used as the mean intensity value of the regression line corresponding to the relative displacement value in the available detection period) minus the mean of the relative displacement values in the sub-period, and define this quantity as the intensity value mean decrement η, where |η| is the mean decrement modulus;

[0093] If the mean reduction modulus is not lower than the predefined strength value distinction threshold, the sub-period is confirmed to be a mutation sub-period;

[0094] If the mean reduction modulus is lower than the predefined intensity value distinction threshold, the sub-period is confirmed to be a non-mutation sub-period.

[0095] The intensity value distinction critical value can be selected in the interval [45%*E0, 50%*E0], where E0 is the average of the relative displacement values in each available detection period.

[0096] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0097] The method for calculating the approximate amount of relative displacement value in all detection periods in the total detection period is:

[0098] Calculate the corresponding regression line of the relative displacement value in each detection period (take the sampling time point of the relative displacement value in the detection period as the independent variable, and the relative displacement value in the detection period as the dependent variable, and use the least squares method to obtain the corresponding regression line of the relative displacement value in the detection period);

[0099] The coefficient of determination between the regression lines corresponding to the relative displacement values in each detection period is calculated and the coefficient of determination is determined as an approximate quantity.

[0100] In a preferred but non-limiting embodiment of the present invention, Step 3 specifically further comprises:

[0101] The method for confirming whether the test period meets the approximate standard based on the approximate amount of the relative displacement value in all the test periods in the total test period is:

[0102] If the approximation amount is not lower than the pre-defined approximation amount benchmark critical value, it is confirmed that the approximation benchmark is met;

[0103] If the approximation amount is lower than a predefined approximation amount benchmark threshold, it is determined that the approximation benchmark is not met.

[0104] The predefined approximate value reference critical value D0 is derived in advance. The approximate values of the relative displacement values in all detection periods in multiple detection total periods are registered, and the average value ΔD of the approximate values is calculated. D0 is set to χ*ΔD, where χ represents the accuracy factor, 73%<χ<80%.

[0105] The number of detection periods contained in a single total detection period must not be less than a predefined critical value of the number of detection periods.

[0106] The critical value of the number of detection periods may be no less than five.

[0107] For the types of high external disturbance, because there are many noise values, this application uses the timing of pantograph operation, involving the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection period to confirm the availability of the detection period. In specific applications, because the operation rules of the pantograph are timing operations, the operation conditions of different detection periods are the same, so the corresponding relative displacement values in different detection periods have some approximation, and the effect of external disturbance on the relative displacement value is not a continuous and orderly effect. Therefore, for the above situation, the availability of the detection period is confirmed based on the difference in the external disturbance presentation values of adjacent detection periods, and the relative displacement value obtained in the available detection period is then selected to remove the noise value, so as to improve the safety and availability of the sampled relative displacement value.

[0108] For the type of low external disturbance, the present application similarly involves the use of the timing of pantograph operation, and verifies whether the detection period meets the approximate benchmark based on the approximate amount of the relative displacement value in all detection periods of the total detection period. In this case, because the pantograph is not subject to much disturbance, the relative displacement value in each detection period contains few noise values and is very approximate. Therefore, the relative displacement value of a single detection period represents the relative displacement value of the entire detection period. Under the condition of ensuring safety, the number of relative displacement values to be analyzed is reduced, and the workload of the computer terminal when performing analysis on the relative displacement value is reduced.

[0109] like Figure 2 As shown, the data processing platform for detecting the wear of the carbon slide plate of the pantograph according to the present invention includes:

[0110] An insulating plate fixedly connected to the pantograph carbon slide is fixedly connected to a fiber optic displacement sensor connected to a processor. The processor is also connected to a computer terminal for communication. The fiber optic displacement sensor is used to transmit the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor. The processor is used to transmit the transmitted relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal is used to organize the relative displacement value and display the organized relative displacement value. The relative displacement value is used as an indicator of wear of the pantograph carbon slide.

[0111] The modules running on the computer terminal include:

[0112] A calculation module, which is used to continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance presentation value for the total detection period based on the dispersion difference between the pressure value and the acceleration value in the total detection period;

[0113] The identification module is used to synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate at each time, obtain the time interval when the pantograph carbon slide plate completes each detection, and identify the relative displacement value transmitted by the corresponding sampling in each detection period;

[0114] a processing module, which is used to identify the type of external disturbance in the total detection period according to the external disturbance presentation value, and perform processing on the relative displacement values sampled in the total detection period;

[0115] The display module is used to display the stored relative displacement value as the sorted relative displacement value.

[0116] In a preferred but non-limiting embodiment of the present invention, a pressure sensor connected to a processor is provided on the top end face of the pantograph, a slide is provided on top of the pressure sensor, and an acceleration sensor connected to the processor is provided on the slide. The pressure sensor is used to sample the pressure value to which the pantograph is subjected and transmit it to the processor, and the acceleration sensor is used to sample the acceleration value of the pantograph and transmit it to the processor. The processor can be a control chip such as a PLC or a single-chip microcomputer. The pressure sensor, fiber optic displacement sensor, and acceleration sensor are sampled synchronously, that is, the starting sampling time and sampling speed of the pressure sensor, fiber optic displacement sensor, and acceleration sensor during the wear detection of the pantograph carbon slide are the same.

[0117] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0118] By continuously obtaining the maximum pressure value and acceleration value of the pantograph, calculating the external disturbance presentation value for the total detection period, continuously obtaining the relative displacement value between the conductor and the pantograph carbon plate, obtaining the time interval for the pantograph to complete a detection, determining the corresponding relative displacement value for each detection period, and determining the type of external disturbance in the total detection period based on the external disturbance presentation value, the relative displacement values sampled in the total detection period are processed. The present invention relates to the noise value caused by the sampling of the relative displacement value during the operation of the pantograph, reasonably processing the sampled relative displacement value, and improving the safety and availability of the sampled relative displacement value.

[0119] In addition, the present invention relates to calculating an external disturbance presentation value based on the pressure value borne by the pantograph and the acceleration value of the pantograph. In specific applications, the pantograph may induce sudden disturbances in the external magnetic field, and because the operation scene of the pantograph is very chaotic, it also has some vibration properties under its operation condition, which is not conducive to the normal operation performance of the pantograph. During the operation of the pantograph, the vibration properties will cause the pressure value and acceleration value borne by the pantograph to fluctuate, thereby affecting the wear condition of the pantograph carbon slide. Such fluctuations often cause increased wear of the pantograph carbon slide, and will include a lot of clutter values in the sampled relative displacement value. Therefore, the present invention calculates the external disturbance presentation value to reflect the degree of external disturbance, and supports the subsequent classification of external disturbance types. Then, the relative displacement value is reasonably processed according to the external disturbance type, thereby improving the safety and availability of the sampled relative displacement value.

[0120] In addition, for the types of high external disturbances, since many clutter values are included, the present invention utilizes the timing of the pantograph operation, involving the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection period to confirm the availability of the detection period. In specific applications, since the operation rules of the pantograph are timing operations, the operation conditions of different detection periods are the same, so the corresponding relative displacement values in different detection periods have some approximation, and the effect of external disturbances on the relative displacement values is not a continuous and orderly effect. Therefore, for the above situation, the availability of the detection period is confirmed based on the difference in the external disturbance presentation values of adjacent detection periods, and the relative displacement values obtained in the available detection periods are used to determine the availability of the detection period. Then, the noise values are selected and removed to improve the safety and availability of the sampled relative displacement values; for the type of low external disturbance, the present application similarly involves the use of the timing of the pantograph operation, and verifies whether the detection period meets the approximate benchmark based on the approximate amount of the relative displacement values in all detection periods of the total detection period. In this case, because the pantograph is not subject to much disturbance, the relative displacement values in each detection period do not carry much noise value and are very approximate. Therefore, the relative displacement value of a single detection period represents the relative displacement value of the entire detection period. Under the condition of ensuring safety, the number of relative displacement values to be analyzed is reduced, and the amount of work for the computer terminal to perform analysis on the relative displacement value is reduced.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation methods of the present invention can still be modified or replaced with equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. A method for processing detection data of pantograph carbon slide wear, characterized in that: include: The optical fiber displacement sensor transmits the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor, and the processor transmits the relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal sorts the relative displacement value and displays the sorted relative displacement value. The method for performing sorting of relative displacement values by a computer terminal includes: Step 1: Continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance value of the total detection period based on the dispersion difference of the pressure value and acceleration value during the total detection period; Step 2: Synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate each time, obtain the time interval when the pantograph carbon slide plate completes each detection, and determine the relative displacement value transmitted by the corresponding sampling in each detection period; Step 3: Determine the type of external disturbance during the total detection period based on the external disturbance presentation value, and process the relative displacement values sampled during the total detection period; Step 4: Display the retained relative displacement value as the sorted relative displacement value.

2. The detection data processing method for pantograph carbon slide wear according to claim 1, characterized in that: Step 1 specifically includes: The external disturbance presentation value for the detection period is calculated according to the following equation: In the equation, F is the external disturbance value, X is the maximum pressure value of the pantograph, and Qj represents the acceleration value of the pantograph sampled at the jth time point during the total detection period. represents the average of the acceleration values from the starting time point to the U-th time point of the sampling within the total detection period, and X0 is the average of the pressure values from the starting time point to the U-th time point of the sampling within the total detection period defined in advance.

3. The method for processing detection data of pantograph carbon slide wear according to claim 2, characterized in that: In Step 3, the processing is performed as follows: the availability of the detection period is determined based on the difference between the external disturbance presentation values corresponding to each detection period and the adjacent detection periods, and the relative displacement values in the available detection period are selected, which includes dividing the available detection period into multiple sub-periods, determining the mutation sub-period based on the mean intensity value of the regression line corresponding to the relative displacement values in the sub-periods, and retaining the relative displacement values of the non-mutation sub-periods in the available detection period; Alternatively, whether the detection period meets the approximate benchmark is determined based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

4. The method for processing detection data of pantograph carbon slide wear according to claim 3, characterized in that: Step 3 specifically includes: The method for determining the type of external disturbance during the total detection period based on the external disturbance presentation value is as follows: If the external disturbance presentation value is not lower than the pre-defined external disturbance presentation value benchmark threshold, it is confirmed that the total detection period is a high external disturbance type; If the external disturbance presentation value is lower than the predefined baseline threshold value of the external disturbance presentation value, it is confirmed that the total detection period is a low external disturbance type; Step 3 specifically includes: If the total detection period is of the high external disturbance type, the availability of the detection period is determined based on the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection period, and the relative displacement values in the available detection period are selected, which includes dividing the available detection period into multiple sub-periods, determining the mutation sub-period based on the average of the intensity values of the regression line corresponding to the relative displacement values in the sub-periods, and retaining the relative displacement values of the non-mutation sub-periods in the available detection period; If the total detection period is of the low external disturbance type, the detection period is confirmed whether it meets the approximate benchmark based on the approximate amount of the relative displacement values in all detection periods in the total detection period, and only the relative displacement value of any detection period in the detection period that meets the approximate benchmark is retained.

5. The method for processing detection data of pantograph carbon slide wear according to claim 4, characterized in that: Step 3 specifically includes: The method for determining the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection periods is: Determine the external disturbance presentation value of a single detection period, determine the external disturbance presentation values of adjacent detection periods of the single detection period, calculate the deductions obtained by subtracting the external disturbance presentation values of adjacent detection periods from the external disturbance presentation value of the single detection period, and then calculate the average of each deduction, which is the difference between the corresponding external disturbance presentation values of each detection period and the adjacent detection periods; Step 3 specifically includes: The method for confirming the availability of a detection period based on the difference in the corresponding external disturbance presentation value between each detection period and the adjacent detection period is as follows: If the mean is within the predefined mean benchmark critical value range, the detection period is confirmed to be available; If the mean is outside the predefined mean benchmark critical value range, the detection period is confirmed to be unusable.

6. The method for processing detection data of pantograph carbon slide wear according to claim 5, characterized in that: Step 3 specifically includes: The method for identifying the mutation sub-period based on the mean intensity value of the regression line corresponding to the relative displacement value in the sub-period is: The quantity obtained by subtracting the mean of the relative displacement values of the sub-period from the mean of the intensity values of the regression line corresponding to the relative displacement values in the available detection period is calculated, and this quantity is defined as the intensity value mean reduction η, where |η| is the mean reduction modulus; If the mean reduction modulus is not lower than the predefined strength value distinction threshold, the sub-period is confirmed to be a mutation sub-period; If the mean reduction modulus is lower than the predefined intensity value distinction threshold, the sub-period is confirmed to be a non-mutation sub-period.

7. The method for processing detection data of pantograph carbon slide wear according to claim 6, characterized in that: Step 3 specifically includes: The method for calculating the approximate amount of relative displacement value in all detection periods in the total detection period is: Calculate the corresponding regression line of the relative displacement value in each detection period; The coefficient of determination between the regression lines corresponding to the relative displacement values in each detection period is calculated and the coefficient of determination is determined as an approximate quantity.

8. The method for processing detection data of pantograph carbon slide wear according to claim 7, characterized in that: Step 3 specifically includes: The method for confirming whether the test period meets the approximate standard based on the approximate amount of the relative displacement value in all the test periods in the total test period is: If the approximation amount is not lower than the pre-defined approximation amount benchmark critical value, it is confirmed that the approximation benchmark is met; If the approximation amount is lower than a predefined approximation amount benchmark threshold, it is determined that the approximation benchmark is not met.

9. A data processing platform for detecting the wear of the carbon slide plate of the pantograph, characterized in that: include: An insulating plate fixedly connected to the pantograph carbon slide is fixedly connected to a fiber optic displacement sensor connected to a processor. The processor is also connected to a computer terminal for communication. The fiber optic displacement sensor is used to transmit the sampled relative displacement value between the conductor and the pantograph carbon slide to the processor. The processor is used to transmit the transmitted relative displacement value between the conductor and the pantograph carbon slide to the computer terminal. The computer terminal is used to organize the relative displacement value and display the organized relative displacement value. The modules running on the computer terminal include: A calculation module, which is used to continuously obtain the pressure value and acceleration value of the pantograph, and calculate the external disturbance presentation value for the total detection period based on the dispersion difference between the pressure value and the acceleration value in the total detection period; The identification module is used to synchronously and continuously obtain the relative displacement value between the conductor and the pantograph carbon slide plate at each time, obtain the time interval when the pantograph carbon slide plate completes each detection, and identify the relative displacement value transmitted by the corresponding sampling in each detection period; a processing module, which is used to identify the type of external disturbance in the total detection period according to the external disturbance presentation value, and perform processing on the relative displacement values sampled in the total detection period; The display module is used to display the stored relative displacement value as the sorted relative displacement value.

10. The detection data processing platform for pantograph carbon slide wear according to claim 9, characterized in that: A pressure sensor connected to the processor is provided on the top end face of the pantograph, a slide is provided on the top of the pressure sensor, and an acceleration sensor connected to the processor is provided on the slide. The pressure sensor is used to sample the pressure value borne by the pantograph and transmit it to the processor, and the acceleration sensor is used to sample the acceleration value of the pantograph and transmit it to the processor.

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