Urban rail power supply system wave recording current processing method, device, equipment and medium

Abstract

The embodiment of the invention relates to an urban rail power supply system wave recording current processing method and device, equipment and a medium. The method comprises the steps that wave recording data corresponding to the target time of each target switch number of a substation of a target line is acquired; determining a peak period and a departure time interval based on the target time diagram; acquiring peak current corresponding to each target switch number from the recording data based on the peak period; on the basis of the peak current corresponding to each target switch number and the departure time interval, multiple groups of peak current to be calculated are obtained from the recording data for calculation, and a current root-mean-square value corresponding to each target switch number is obtained; and comparing the peak current corresponding to each target switch number with the current root-mean-square value, and determining a target peak current and a target current root-mean-square value for analysis. Therefore, the accurate peak current and the current root-mean-square value at the peak moment can be obtained for analysis, so that the simulation model can be corrected based on the analysis result to improve the accuracy of the subsequent simulation model.

Description

Technical Field

[0001] The present disclosure relates to the technical field of urban rail transit, and in particular to a method, device, equipment and medium for processing recorded current of an urban rail power supply system. Background Art

[0002] In recent years, with the rapid development of urban rail transit, the scale of the line network has expanded, and the operating pressure has continued to increase. Although the opening years of each line have not yet reached the long-term, many lines have now reached the long-term peak hour departure interval. For example, the minimum departure interval of a city's subway lines 1, 2, 5, and 10 during the morning peak hours on weekdays has reached the system capacity of 2 minutes. In order to further explore the capacity of each city's subway line, it is necessary to combine the existing recording data for analysis.

[0003] Since the system capacity of each subway line is determined during the design phase, it is bound to be different from the actual operating conditions. Therefore, it is necessary to export the actual operating data and analyze it with the simulation model to analyze the ultimate capacity of each line.

[0004] In related technologies, the research on recorded data of power supply systems mostly focuses on quickly locating fault points through recorded data, such as enhancing the status monitoring of various equipment in combination with monitoring systems. In addition, subway power supply systems can currently also export recorded data from PSCADA (Power Supply Control and Monitoring Automation System), but for DC systems, the instantaneous value of current changes rapidly, and the PSCADA acquisition interval is large, which cannot fully describe the capabilities of the power supply system. For example, the comparative analysis results of the actual output voltage waveform of the DC bus using PSCADA simulation software are not accurate enough. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, device, equipment and medium for processing recorded current of an urban rail power supply system.

[0006] The disclosed embodiment provides a method for processing recorded current of an urban rail power supply system, comprising: obtaining recorded data corresponding to target times of target switch numbers of a substation of a target line; obtaining a target time operation diagram, and determining peak hours and departure time intervals based on the target time operation diagram; obtaining peak currents corresponding to the target switch numbers from the recorded data based on the peak hours; obtaining multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time intervals, and obtaining current root mean square values ​​corresponding to the target switch numbers; and determining target peak currents and target current root mean square values ​​for analysis based on comparison of the peak currents and current root mean square values ​​corresponding to the target switch numbers.

[0007] Optionally, obtaining the recorded data corresponding to the target switch numbers and target times of the substation of the target line includes: obtaining the recorded data corresponding to the target switch numbers and target times from a target data table; wherein, the recorded data corresponding to the target switch numbers and target times are obtained by collecting data according to a preset time period through the recorded sensors installed on the feeder switches corresponding to the target switch numbers of the substation of the target line; wherein the preset time period is the same as the simulation step time.

[0008] Optionally, the method further includes: obtaining the peak current simulation value and the current root mean square simulation value corresponding to the target time of each target switch number of the substation; determining the adjustment coefficient based on comparison of the peak current, peak current simulation value, current root mean square value and current root mean square simulation value corresponding to each target switch number; and adjusting the departure time interval based on the adjustment coefficient.

[0009] Optionally, obtaining the peak current corresponding to each target switch number from the recorded data based on the peak period includes: determining each peak current based on each time series in the recorded data and the peak period; screening each peak current based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number.

[0010] Optionally, the peak currents are screened based on a preset current difference percentage threshold to obtain the peak currents corresponding to the target switch numbers, including: calculating the peak current obtained at the previous moment and the peak current obtained at the current moment among the peak currents to obtain the peak current difference percentage; when the peak current difference percentage is greater than or equal to the current difference percentage threshold, deleting the peak current obtained at the previous moment; when the peak current difference percentage is less than the current difference percentage threshold, retaining the peak current obtained at the previous moment and the peak current obtained at the current moment to obtain the peak currents corresponding to the target switch numbers.

[0011] Optionally, the method also includes: calculating the peak current obtained at the first moment and the peak current obtained at the last moment among the peak currents to obtain a total peak current difference percentage; when the total peak current difference percentage is greater than or equal to a preset total current difference percentage threshold, deleting the respective peak currents; when the total peak current difference percentage is less than a preset total current difference percentage threshold, retaining the respective peak currents.

[0012] Optionally, the method of obtaining multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time interval to obtain the current root mean square values ​​corresponding to the target switch numbers includes: obtaining the departure time corresponding to each peak current, and obtaining multiple groups of peak currents to be calculated from the recorded data based on the departure time and the departure time interval; calculating the multiple groups of peak currents to be calculated to obtain the current root mean square values ​​corresponding to the target switch numbers.

[0013] The disclosed embodiment also provides a recorded current processing device for an urban rail power supply system, including: a first acquisition module, used to acquire recorded data corresponding to target times of target switch numbers of substations of a target line; an acquisition and determination module, used to acquire a target time operation diagram, and determine peak hours and departure time intervals based on the target time operation diagram; a second acquisition module, used to acquire peak currents corresponding to the target switch numbers from the recorded data based on the peak hours; a calculation module, used to acquire multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time intervals, and obtain the current root mean square values ​​corresponding to the target switch numbers; a comparison and determination module, used to compare the peak currents and current root mean square values ​​corresponding to the target switch numbers, and determine the target peak currents and target current root mean square values ​​for analysis.

[0014] An embodiment of the present disclosure also provides an electronic device, which includes: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the urban rail power supply system recording current processing method provided in the embodiment of the present disclosure.

[0015] The embodiment of the present disclosure further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the method for processing recorded current of the urban rail power supply system provided in the embodiment of the present disclosure.

[0016] The embodiment of the present disclosure further provides a computer program product, including a computer program, wherein the computer program, when executed by a processor, implements the method for processing recorded current of the urban rail power supply system described in the aforementioned aspect.

[0017] Compared with the prior art, the technical solution provided by the disclosed embodiment has the following advantages: the urban rail power supply system recording current processing solution provided by the disclosed embodiment includes: obtaining the recording data corresponding to the target time of each target switch number of the substation of the target line; obtaining the target time operation diagram, and determining the peak time period and departure time interval based on the target time operation diagram; obtaining the peak current corresponding to each target switch number from the recording data based on the peak time period; obtaining multiple groups of peak currents to be calculated from the recording data based on the peak current and departure time interval corresponding to each target switch number, and obtaining the current root mean square value corresponding to each target switch number; comparing the peak current and the current root mean square value corresponding to each target switch number, determining the target peak current and the target current root mean square value for analysis. Therefore, by analyzing the existing feeder current recording values, the accurate peak current and current root mean square value at the peak moment can be obtained for analysis, so that the simulation model can be corrected based on the analysis results, so that the error between the simulation model and the actual operation situation is smaller. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0019] Figure 1 A schematic diagram of a flow chart of a method for processing recorded current in an urban rail power supply system provided in an embodiment of the present disclosure;

[0020] Figure 2 A schematic diagram showing the comparison between the current peak value-recorded value and the simulation value provided in the embodiment of the present disclosure;

[0021] Figure 3 A schematic diagram of the comparison between the current RMS value-recorded value and the simulation value provided in the embodiment of the present disclosure;

[0022] Figure 4 A schematic structural diagram of a ripple current processing device for an urban rail power supply system provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0024] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0025] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0026] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0027] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0028] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0029] Based on the description of the above background technology, in order to further explore the power supply capacity of the subway line, it is necessary to combine the existing recording data for analysis. First, install a recording sensor at the feeder port of each substation for each line, and then set the collection interval of the recording sensor to, for example, 1s, which is usually consistent with the simulation step time of the simulation software. In order to minimize the impact on operations (the last skylight point to the next skylight point), the general working time of the recording sensor is about 20 hours. The data exported by a feeder circuit breaker of a substation is more than 216,000. Each substation contains 4 feeder switches. These data include time, current and voltage, which are extremely difficult to process. For traction simulation, there are two extremely important data: (1) Peak current at peak times; (2) RMS current at peak times;

[0030] In order to compare the simulation data with the actual operating feeder current values, the following difficulties are faced: (1) distinguishing between peak and flat peak data; (2) eliminating the interference of discrete points as much as possible; and (3) locating the range of the current root mean square value at the peak moment as accurately as possible.

[0031] In response to the above problems, the present disclosure proposes a method for processing recorded current of an urban rail power supply system, which obtains the recorded data corresponding to the target time of each target switch number of the substation of the target line; obtains the target time operation diagram, and determines the peak period and departure time interval based on the target time operation diagram; obtains the peak current corresponding to each target switch number from the recorded data based on the peak period; obtains multiple groups of peak currents to be calculated from the recorded data based on the peak current and departure time interval corresponding to each target switch number, and obtains the current root mean square value corresponding to each target switch number; compares the peak current and the current root mean square value corresponding to each target switch number, and determines the target peak current and the target current root mean square value for analysis. Thus, by analyzing the recorded values ​​of the existing feeder current, the accurate peak current and the current root mean square value at the peak moment can be obtained for analysis, so that the simulation model can be corrected based on the analysis results to make the error between the simulation model and the actual operation situation smaller.

[0032] Figure 1 A flow chart of a method for processing a recorded current in an urban rail power supply system provided in an embodiment of the present disclosure is provided. The method can be executed by a device for processing a recorded current in an urban rail power supply system, wherein the device can be implemented by software and / or hardware and can generally be integrated in an electronic device.

[0033] like Figure 1 As shown, the method includes:

[0034] Step 101: Obtain the recorded wave data corresponding to each target switch number and target time of the substation of the target line.

[0035] In the disclosed embodiment, the recording data corresponding to the target switch number and target time of the substation of the target line is obtained, including: obtaining the recording data corresponding to the target switch number and target time from the target data table; wherein, the recording sensors installed on the feeder switches corresponding to the target switch numbers of the substation of the target line perform data collection according to a preset time period to obtain the recording data corresponding to the target switch number and target time; wherein the preset time period is the same as the simulation step time.

[0036] Specifically, the recorded data is exported to a target table and the feeder recorded data of each feeder circuit breaker is divided into a table, so that the recorded data corresponding to each target switch number and target time of the substation of the target line can be obtained based on the target table.

[0037] Step 102: Obtain a target time operation diagram, and determine the peak time period and departure time interval based on the target time operation diagram.

[0038] Step 103: Obtain the peak current corresponding to each target switch number from the recorded data based on the peak period.

[0039] In an embodiment of the present disclosure, a peak current corresponding to each target switch number is obtained from the recorded data based on the peak time period, including: determining each peak current based on each time series and peak time period in the recorded data; screening each peak current based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number.

[0040] In the disclosed embodiment, each peak current is screened based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number, including: calculating the peak current obtained at the previous moment and the peak current obtained at the current moment among each peak current to obtain the peak current difference percentage; when the peak current difference percentage is greater than or equal to the current difference percentage threshold, deleting the peak current obtained at the previous moment; when the peak current difference percentage is less than the current difference percentage threshold, retaining the peak current obtained at the previous moment and the peak current obtained at the current moment to obtain the peak current corresponding to each target switch number.

[0041] Specifically, first, by comparing the target time operation diagram (such as a certain day, the current day, etc.), the peak period is found, and the peak current during the morning peak period on weekdays is listed according to the time of the recorded data. In order to eliminate the interference of external accidental factors, a peak current threshold is set, such as 5%. That is, when the difference between the first peak current and the second peak current (the maximum value excluding the first peak current) does not exceed 5%, it is considered that the first peak current meets the requirement. When the difference between the first peak current and the second peak current exceeds 5%, it is considered that the first peak current is a discrete point of accidental factors and is discarded, so as to continue to compare the difference between the second peak current and the third peak current until the threshold range is met, which is recorded as the peak current at the peak moment.

[0042] The formula is defined as follows: Nmax=(if(Nmax(i)-Nmax(i+1)) / Nmax(i)<5%), Nmax(i), i+1); (i=1, 2, ...).

[0043] In the embodiment of the present disclosure, the peak current obtained at the first moment and the peak current obtained at the last moment of each peak current are calculated to obtain the total difference percentage of the peak current; when the total difference percentage of the peak current is greater than or equal to a preset total current difference percentage threshold, each peak current is deleted; when the total difference percentage of the peak current is less than the preset total current difference percentage threshold, each peak current is retained.

[0044] Specifically, the final peak current cannot differ from the first peak current. For example, if the total difference percentage of the peak current is more than 30%, the recorded data of this group is deemed unusable, which further improves the accuracy of the data and the usefulness of subsequent analysis.

[0045] Step 104 , based on the peak currents corresponding to the target switch numbers and the departure time intervals, multiple groups of peak currents to be calculated are obtained from the recorded data for calculation to obtain the current root mean square value corresponding to the target switch numbers.

[0046] In an embodiment of the present disclosure, multiple groups of peak currents to be calculated are obtained from the recorded data based on the peak currents and departure time intervals corresponding to each target switch number to obtain the root mean square value of the current corresponding to each target switch number, including: obtaining the departure time corresponding to each peak current, and obtaining multiple groups of peak currents to be calculated from the recorded data based on the departure time and the departure time interval; calculating the multiple groups of peak currents to be calculated to obtain the root mean square value of the current corresponding to each target switch number.

[0047] Specifically, in order to ensure that the selection of the current RMS value excludes external interference as much as possible, firstly, the maximum value in step 103 is positioned, and the corresponding departure interval range is selected according to the target time operation diagram, and then ten groups of cells corresponding to the departure time interval in seconds are selected forward and backward according to the departure time interval. For example, after locating Nmax(i), assuming that the departure time interval is t seconds, a total of twenty groups of departure interval cells are selected with Nmax(i) as the center point, that is, the first group is N max((i)-10t) , N max((i)-(10t-1)) , ..., N max((i)-(9t+1)) ; The second group is N max((i)-9t) , N max((i)-(9t-1)) , ..., N max((i)-(8t+1)) ; ...; The tenth group is N max((i)-t) , N max((i)-(t-1)) , ..., N max((i)-1) ; Group 11 N max((i)+(t-1)) , N max((i)+(t-2)) , ..., N max(i) ; ...; The twentieth group N max((i)+(10t-1)) , N max((i)+(10t-2)) , ..., N max((i)+9t) Analyze the above points to ensure that they are within the peak departure interval of the operation diagram. If not, delete the corresponding groups and ensure that at least the target number, such as 15 groups of data, are within the peak period. If less than 15 groups, locate N max(i+1) , until at least 15 groups of cells are found.

[0048] The definition formula is as follows: N max(i)rmsj =sqrt(N 2 max((i)-10t) +N 2 max((i)-(10t-1)) +……+N 2 max((i)-(9t+1) ) / t; where (j=1, 2, ..., 20).

[0049] Finally, the obtained valid group numbers are compared, and the RMS value of the current is obtained after deleting the obvious discrete values.

[0050] Step 105 : Determine a target peak current and a target current root mean square value based on a comparison of the peak current and the current root mean square value corresponding to each target switch number for analysis.

[0051] Specifically, the peak current at the peak time of a target time, such as a certain working day, and the RMS value of the current at the peak time are compared, and the obvious discrete points are actually analyzed to finally obtain a relatively accurate peak current at the peak time and the RMS value of the current at the peak time.

[0052] In some embodiments, the peak current simulation value and the current root mean square simulation value corresponding to each target switch number and target time of the substation are obtained; the adjustment coefficient is determined based on the comparison of the peak current, peak current simulation value, current root mean square value and current root mean square simulation value corresponding to each target switch number; and the departure time interval is adjusted based on the adjustment coefficient.

[0053] Specifically, the peak current and the current root mean square value are analyzed and compared with the corresponding simulation values, and the simulation model is corrected to obtain a simulation model that more accurately describes the line, which plays a key role in the subsequent capacity analysis.

[0054] Among them, the recorded data can be obtained from the target data table. In the embodiment of the present disclosure, the recorded data is obtained as current data, and the current data is input into a preset simulation model for processing to obtain a peak current simulation value and a current root mean square simulation value.

[0055] Therefore, by analyzing the existing feeder current recording values, the simulation model can be compared and corrected to make the error between the simulation model and the actual operating conditions smaller; through the application of actual conditions, the accuracy of this calculation method can be demonstrated; it can be derived from this to verify and implement various desired modes of the power supply system.

[0056] As an example of a scenario, take the subway line x of a certain city as an example, import the recorded wave data according to the description of the above embodiment, and then operate according to each step, and the recorded wave peak current of a certain station is shown in the following Table 1:

[0057] Table 1 The results of peak current recording data processing of a feeder switch in a traction station

[0058]

[0059] As shown in Table 1 above, there are many blanks, which are all discrete points that cannot meet the requirements of step 103 and cannot meet the requirements of the difference between the peak value obtained in step 103 and the first peak value, so these points are removed.

[0060] It should be noted that for the 20 switches during the evening peak, when Monday and Tuesday are both working days, their peak currents are quite different, but when querying the operation diagram, it is found that the difference is not significant.

[0061] By analyzing the actual operation situation on that day, it was found that on March 17, there was a period of "car pressure" in the power supply section 20, so there may be a simultaneous start-up causing a surge in peak current. In order to verify whether this is the case, step 204 is continued below. The result of the RMS current recording data processing of the feeder switch of a traction station is shown in Table 2.

[0062] Table 2 The results of the RMS current recording data processing of a feeder switch in a traction station

[0063]

[0064] As shown in Table 2 above, the RMS current of the power supply section 20 after processing on March 17 was not much different, and the RMS current on Monday was slightly larger than that on Tuesday. It can be judged that the peak current was only an accidental factor.

[0065] Specifically, the embodiment of the present disclosure mainly targets the influence of traction current, while the peak current mainly targets the secondary protection setting system. By comparing the above-mentioned current root mean square values, it is found that the difference is not large and belongs to the usable value. Then, the simulation model is established by inputting data to obtain the corresponding simulation value, and the recorded value is compared with the simulation value. Figure 2 and Figure 3 shown.

[0066] pass Figure 2 and Figure 3 It can be seen from the comparison that if the values ​​obtained by the simulation model are to completely cover the actual values, it is only necessary to multiply the RMS value of the current obtained under various working conditions by 1.2 times the reliability coefficient.

[0067] In actual use, in order to ensure the transportation volume in special periods, the simulation was evaluated according to a coefficient of 1.2 plus a certain safety factor, so that the final departure interval exceeded the designed system capacity. In this process, we focused on some traction stations that might reach their limits, and finally successfully guaranteed the transportation volume task in special periods.

[0068] The urban rail power supply system recording current processing scheme provided by the disclosed embodiment obtains the recording data corresponding to the target time of each target switch number of the substation of the target line; obtains the target time operation diagram, and determines the peak time period and departure time interval based on the target time operation diagram; obtains the peak current corresponding to each target switch number from the recording data based on the peak time period; obtains multiple groups of peak currents to be calculated from the recording data based on the peak current and departure time interval corresponding to each target switch number, and obtains the current root mean square value corresponding to each target switch number; compares the peak current and the current root mean square value corresponding to each target switch number, and determines the target peak current and the target current root mean square value for analysis. Therefore, by analyzing the existing feeder current recording values, the accurate peak current and current root mean square value at the peak moment can be obtained for analysis, so that the simulation model can be corrected based on the analysis results to make the error between the simulation model and the actual operation situation smaller.

[0069] Figure 4This is a schematic diagram of the structure of a recording current processing device for a city rail power supply system provided by an embodiment of the present disclosure. The device can be implemented by software and / or hardware and can generally be integrated into an electronic device. Figure 4 As shown, the device comprises:

[0070] The first acquisition module 201 is used to acquire the recorded data corresponding to each target switch number and target time of the substation of the target line.

[0071] The acquisition and determination module 202 is used to acquire a target time operation diagram, and determine the peak time period and departure time interval based on the target time operation diagram.

[0072] The second acquisition module 203 is used to acquire the peak current corresponding to each target switch number from the recorded data based on the peak period.

[0073] The calculation module 204 is used to obtain multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time interval to obtain the current root mean square value corresponding to the target switch numbers.

[0074] The comparison and determination module 205 is used to compare the peak current and the current root mean square value corresponding to each target switch number to determine the target peak current and the target current root mean square value for analysis.

[0075] Optionally, the first acquisition module 201 is specifically used to: obtain the recorded data corresponding to each target switch number and target time from the target data table; wherein, the recorded data corresponding to each target switch number and target time of the substation of the target line is collected by the recorded sensors installed on the feeder switches according to the preset time period to obtain the recorded data corresponding to the target switch number and target time; wherein the preset time period is the same as the simulation step time.

[0076] Optionally, the device also includes: a third acquisition module, used to obtain the peak current simulation value and the current root mean square simulation value corresponding to each target switch number and target time of the substation; a comparison module, used to determine the adjustment coefficient based on the comparison of the peak current, peak current simulation value, current root mean square value and current root mean square simulation value corresponding to each target switch number; and an adjustment module, used to adjust the departure time interval based on the adjustment coefficient.

[0077] Optionally, the second acquisition module 203 includes: a determination unit, used to determine each peak current based on each time series in the recorded data and the peak period; a screening unit, used to screen each peak current based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number.

[0078] Optionally, the screening unit is specifically used to: calculate the peak current obtained at the previous moment and the peak current obtained at the current moment among the peak currents to obtain the peak current difference percentage; when the peak current difference percentage is greater than or equal to the current difference percentage threshold, delete the peak current obtained at the previous moment; when the peak current difference percentage is less than the current difference percentage threshold, retain the peak current obtained at the previous moment and the peak current obtained at the current moment to obtain the peak current corresponding to each target switch number.

[0079] Optionally, the device also includes: a calculation and processing module, used to calculate the peak current obtained at the first moment and the peak current obtained at the last moment among the peak currents to obtain a total peak current difference percentage; when the total peak current difference percentage is greater than or equal to a preset total current difference percentage threshold, deleting the respective peak currents; when the total peak current difference percentage is less than a preset total current difference percentage threshold, retaining the respective peak currents.

[0080] Optionally, the calculation module is specifically used to: obtain the departure time corresponding to each of the peak currents, and based on the departure time and the departure time interval, obtain multiple groups of peak currents to be calculated from the recorded data; calculate the multiple groups of peak currents to be calculated to obtain the current root mean square value corresponding to each target switch number.

[0081] The urban rail power supply system recording current processing device provided in the embodiment of the present disclosure can execute the urban rail power supply system recording current processing method provided in any embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method.

[0082] The embodiments of the present disclosure further provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the method for processing the recorded current of the urban rail power supply system provided by any embodiment of the present disclosure.

[0083] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0084] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0085] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0086] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: obtains the recorded data corresponding to the target time of each target switch number of the substation of the target line; obtains the target time operation diagram, and determines the peak time period and the departure time interval based on the target time operation diagram; obtains the peak current corresponding to each target switch number from the recorded data based on the peak time period; obtains multiple groups of peak currents to be calculated from the recorded data based on the peak current and the departure time interval corresponding to each target switch number, and obtains the current root mean square value corresponding to each target switch number; compares the peak current and the current root mean square value corresponding to each target switch number, and determines the target peak current and the target current root mean square value for analysis.

[0087] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0088] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0089] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0090] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0091] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0092] According to one or more embodiments of the present disclosure, the present disclosure provides an electronic device, including:

[0093] processor;

[0094] a memory for storing instructions executable by the processor;

[0095] The processor is used to read the executable instructions from the memory and execute the instructions to implement any method for processing recorded current of an urban rail power supply system provided in the present disclosure.

[0096] According to one or more embodiments of the present disclosure, the present disclosure provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute any of the urban rail power supply system recording current processing methods provided by the present disclosure.

[0097] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0098] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0099] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. A method for processing recorded current in an urban rail power supply system, characterized in that: The method comprises: Obtain the recording data corresponding to each target switch number and target time of the substation of the target line; Obtaining a target time operation diagram, and determining a peak time period and a departure time interval based on the target time operation diagram; Acquire the peak current corresponding to each target switch number from the recorded data based on the peak period; Based on the peak currents corresponding to the target switch numbers and the departure time intervals, multiple groups of peak currents to be calculated are obtained from the recorded data for calculation to obtain the current root mean square values ​​corresponding to the target switch numbers; Based on the comparison between the peak current and the current root mean square value corresponding to each target switch number, the target peak current and the target current root mean square value are determined for analysis.

2. The method according to claim 1, characterized in that The step of obtaining the recorded wave data corresponding to each target switch number and target time of the substation of the target line includes: The recorded data corresponding to the target time of each target switch number is obtained from the target data table; wherein, the recorded data corresponding to the target time of each target switch number is obtained by performing data collection according to a preset time period on the recorded sensors installed on the feeder switches corresponding to the target switch numbers of the substation of the target line; wherein, the preset time period is the same as the simulation step time.

3. The method according to claim 1, characterized in that The method further comprises: Obtain the peak current simulation value and the current root mean square simulation value corresponding to each target switch number and target time of the substation; Determine an adjustment coefficient based on a comparison of the peak current, the peak current simulation value, the current root mean square value and the current root mean square simulation value corresponding to each target switch number; The departure time interval is adjusted based on the adjustment factor.

4. The method according to claim 1, characterized in that: The obtaining the peak current corresponding to each target switch number from the recorded data based on the peak period includes: Determine each peak current based on each time series in the recorded data and the peak time period; Each peak current is screened based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number.

5. The method according to claim 4, characterized in that The step of screening each peak current based on a preset current difference percentage threshold to obtain the peak current corresponding to each target switch number includes: Calculating the peak current obtained at the previous moment and the peak current obtained at the current moment among the peak currents to obtain a peak current difference percentage; When the peak current difference percentage is greater than or equal to the current difference percentage threshold, deleting the peak current acquired at the last moment; When the peak current difference percentage is less than the current difference percentage threshold, the peak current obtained at the previous moment and the peak current obtained at the current moment are retained to obtain the peak currents corresponding to the respective target switch numbers.

6. The method according to claim 4, characterized in that The method further comprises: Calculate the peak current obtained at the first moment and the peak current obtained at the last moment among the peak currents to obtain a total difference percentage of the peak currents; When the total difference percentage of the peak current is greater than or equal to a preset total difference percentage threshold of the current, deleting each peak current; When the total difference percentage of the peak currents is less than a preset total difference percentage threshold of the currents, the respective peak currents are retained.

7. The method according to claim 1, characterized in that The method of obtaining multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time interval to obtain the current root mean square values ​​corresponding to the target switch numbers includes: Obtaining the departure time corresponding to each of the peak currents, and obtaining multiple groups of peak currents to be calculated from the recorded data based on the departure time and the departure time interval; The multiple groups of peak currents to be calculated are calculated to obtain the current root mean square value corresponding to each target switch number.

8. A recording current processing device for an urban rail power supply system, characterized in that: include: The first acquisition module is used to acquire the recorded wave data corresponding to each target switch number and target time of the substation of the target line; An acquisition and determination module is used to acquire a target time operation diagram and determine a peak time period and a departure time interval based on the target time operation diagram; A second acquisition module, configured to acquire the peak current corresponding to each target switch number from the recorded data based on the peak period; A calculation module, used to obtain multiple groups of peak currents to be calculated from the recorded data based on the peak currents corresponding to the target switch numbers and the departure time intervals, and obtain the current root mean square value corresponding to the target switch numbers; The comparison and determination module is used to compare the peak current and the current root mean square value corresponding to each target switch number to determine the target peak current and the target current root mean square value for analysis.

9. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the urban rail power supply system recording current processing method described in any one of claims 1-7 above.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the urban rail power supply system recording current processing method described in claims 1-7 above.

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