Multi-dimensional data analysis method for subway train

Abstract

The invention relates to the technical field of urban rail transit, in particular to a multi-dimensional data analysis method for a subway train. The method comprises the following steps: collecting multi-dimensional data of a subway train, periodically recording a plurality of running speeds of the subway train, calculating an average value of the running speeds, determining running time and running position of the subway train corresponding to the average value of the running speeds, and calculating the running distance of the subway train. Judging the operation of the subway train based on the average value of the operation speed, namely judging whether the operation of the subway train meets the standard or not and judging the reason for not meeting the standard, and generating a corresponding processing instruction based on the judgment result, and re-determining the preset average moving speed, the departure interval of the subway train, the recording frequency or the maintenance time interval of the subway train in the operation judgment process of the subway train based on the processing instruction. According to the invention, real-time monitoring and accurate analysis of the running speed of the subway train are effectively realized, and the running efficiency of the subway train is effectively ensured.

Description

Technical Field

[0001] This invention relates to the field of urban rail transit technology, and in particular to a multi-dimensional data analysis method for subway trains. Background Technology

[0002] Subway trains are rail vehicles operating in urban subway systems to transport passengers. Multidimensional data on subway trains refers to various information collected from multiple aspects and perspectives related to subway trains, typically including operational data, equipment status data, and passenger flow data. Multidimensional data analysis of subway trains involves collecting, organizing, analyzing, and interpreting various data related to subway trains from multiple different angles and levels to obtain valuable information and knowledge to support decision-making and optimize subway operation management. Analyzing multidimensional data on subway trains is of significant research importance in improving subway operational efficiency, ensuring subway operational safety, reducing subway operating costs, and improving service quality.

[0003] Chinese Patent Application Publication No. CN113554193A discloses a fully automated intelligent operation and maintenance management platform for trains, comprising: a data perception layer for acquiring multi-dimensional data and sending it to a data transmission layer; a data transmission layer for receiving data and transmitting it to a data analysis layer; a data analysis layer for analyzing, mining, and constructing early warning and trend predictions from the received data; and an application system layer for using the analysis results from the data analysis layer to perform real-time monitoring, health diagnosis, and operation and maintenance suggestions for the train. This invention also discloses a fully automated intelligent operation and maintenance management method for trains. Through data mining and analysis of the platform, this invention deeply empowers the urban rail transit train operation and maintenance system, supports complex decision-making, strengthens safety and service risk management, deepens the application level of the entire train lifecycle, and deeply integrates data mining technology with the urban rail transit train operation and maintenance system, promoting the overall upgrading of urban rail train operation and maintenance.

[0004] Therefore, the above-mentioned solution, through the construction of a fully automated urban rail transit operation management ecosystem platform, deeply empowers the urban rail transit train operation and maintenance system through data mining and analysis. This supports complex decision-making, strengthens safety and service risk management, and deepens the utilization level of the entire train lifecycle. It also deeply integrates data mining technology with the urban rail transit train operation and maintenance system, promoting the overall upgrade of urban rail train operation and maintenance. However, the above solution cannot achieve real-time monitoring and accurate analysis of subway train operating speed, and therefore cannot guarantee the operating efficiency of subway trains. Summary of the Invention

[0005] Therefore, this invention provides a multi-dimensional data analysis method for subway trains to overcome the problem that the existing technology cannot achieve real-time monitoring and accurate analysis of the operating speed of subway trains, resulting in low operating efficiency of subway trains.

[0006] To achieve the above objectives, the present invention provides a multi-dimensional data analysis method for subway trains, comprising:

[0007] Collect multi-dimensional data of subway trains, including train speed, travel time, location, and passenger volume.

[0008] The system periodically records several operating speeds of subway trains and calculates the average value of each speed.

[0009] Determine the running time and location of the subway train corresponding to the average running speed;

[0010] The subway's travel distance is calculated based on the running time and the running location;

[0011] The operation of the subway train is determined based on the average operating speed.

[0012] Based on the judgment result, generate corresponding processing instructions, or complete the periodic judgment of the subway train and judge whether the operation of the subway train in the next cycle meets the standards.

[0013] The determination includes determining whether the operation of the subway train meets the standards and determining the reasons why it does not meet the standards;

[0014] Based on the received processing instructions, the preset average speed, train departure interval, recording frequency, or maintenance interval of the subway train in the operation judgment process are redefined.

[0015] Furthermore, the process of determining the operation of the subway train based on the average operating speed includes:

[0016] Obtain the average value of the running speed and record the obtained average value as the average movement speed;

[0017] The operation of the subway train is determined based on the average speed.

[0018] When the average moving speed is greater than or equal to the second preset average moving speed, it is determined that the operation of the subway train meets the standard, the periodic determination of the subway train is completed, and the determination of whether the operation of the subway train in the next cycle meets the standard is made.

[0019] When the average moving speed is less than the second preset average moving speed but greater than or equal to the first preset average moving speed, it is determined that the operation of the subway train does not meet the standard, and the preset average moving speed is determined based on the travel distance.

[0020] When the average speed is less than the first preset average speed, it is determined that the operation of the subway train does not meet the standard, and the reason for the subway train's failure to meet the standard is determined based on the average speed.

[0021] Furthermore, the process of determining whether the preset average speed meets the standard based on the travel distance includes:

[0022] When the travel distance is less than the preset travel distance, it is determined that the preset average speed does not meet the standard, and the preset average speed is corrected based on the travel distance.

[0023] When the travel distance is greater than or equal to the preset travel distance, it is determined that the preset average speed meets the standard, but the operation of the subway train does not meet the standard, and the reason why the operation of the subway train does not meet the standard is determined based on the average speed.

[0024] Furthermore, the process of correcting the preset average speed based on the travel distance includes:

[0025] Calculate the difference between the preset driving distance and the driving distance, and record the obtained difference as the driving distance difference;

[0026] The preset average speed is reduced based on the difference in travel distance, and the reduction in the preset average speed is proportional to the difference in travel distance.

[0027] Furthermore, the process of determining the reasons why the subway train's operation does not meet the standards based on the average speed includes:

[0028] Calculate the difference between the first preset average movement speed and the average movement speed, and record the obtained difference as the average movement speed difference;

[0029] The reason why the subway train's operation does not meet the standard is determined based on the average speed difference.

[0030] When the average speed difference is less than or equal to the first preset average speed difference, the reason why the subway train's operation does not meet the standard is determined based on the passenger capacity of the subway train.

[0031] When the average speed difference is greater than the first preset average speed difference and less than or equal to the second preset average speed difference, the reason why the subway train's operation does not meet the standard is determined based on the variance of the running speed.

[0032] When the average speed difference is greater than the second preset average speed difference, it is determined that the subway train's operation does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is adjusted based on the travel distance.

[0033] Furthermore, the process of determining the reasons why the operation of a subway train does not meet the standards based on the passenger capacity of the subway train includes:

[0034] Determine the average passenger volume of each location segment of the subway train within the period, and record the obtained average as the average passenger volume;

[0035] The reasons why the operation of the subway train does not meet the standards are determined based on the average passenger volume.

[0036] When the average passenger volume is greater than the preset average passenger volume, the departure interval of the subway train is adjusted based on the average passenger volume.

[0037] When the average passenger capacity is less than or equal to the preset average passenger capacity, the reason why the subway train's operation does not meet the standard is determined based on the variance of the operating speed.

[0038] Furthermore, the process of adjusting the departure interval of subway trains based on the average passenger volume includes:

[0039] Calculate the difference between the average passenger capacity and the preset average passenger capacity, and record the obtained difference as the difference in average passenger capacity;

[0040] The train interval is reduced based on the difference in average passenger volume, and the reduction in train interval is proportional to the difference in average passenger volume, and a corresponding notification is issued.

[0041] Furthermore, the process of determining the reasons why the subway train's operation does not meet the standards based on the variance of the operating speed includes:

[0042] Determine the variance of the operating speed and record the obtained variance as the operating speed variance;

[0043] The reasons why the subway train's operation does not meet the standards are determined based on the aforementioned operating speed variance;

[0044] When the operating speed variance is greater than or equal to the preset operating speed variance, the recording frequency is corrected based on the operating speed variance.

[0045] When the variance of the operating speed is less than the preset variance of the operating speed, it is determined that the subway train does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is adjusted based on the travel distance.

[0046] Furthermore, the process of correcting the recording frequency based on the operating speed variance includes:

[0047] Calculate the difference between the operating speed variance and the preset operating speed variance, and record the obtained difference as the operating speed variance difference;

[0048] The recording frequency is increased based on the difference in operating speed variance, and the increase in recording frequency is proportional to the difference in operating speed variance.

[0049] Furthermore, the process of adjusting the maintenance time interval of the subway train based on the travel distance includes:

[0050] Obtain the historical travel distance of subway trains;

[0051] Calculate the sum of the historical travel distances and record the sum as the cumulative distance.

[0052] The maintenance interval of the subway train is reduced based on the accumulated mileage, and the reduction in the maintenance interval is proportional to the accumulated mileage, and a corresponding notification is issued.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: by periodically recording several operating speeds of the subway train and calculating the average value of each operating speed, the present invention makes a judgment on the operation of the subway train based on the average value of the operating speed, which can timely and accurately determine whether the operation of the subway train meets the standards, effectively realizing real-time monitoring of the operating speed of the subway train, generating corresponding processing instructions based on the judgment results, and re-determining the preset average moving speed, the departure interval of the subway train, the recording frequency or the maintenance interval of the subway train in the subway train operation judgment process based on the received processing instructions. While effectively realizing accurate analysis of the operating speed of the subway train, the present invention effectively ensures the operating efficiency of the subway train.

[0054] Furthermore, this invention determines the operation of subway trains based on average speed, enabling timely and accurate assessment of subway train operation. When a subway train's operation is found to be non-compliant with standards, the cause of the non-compliance is identified. This not only achieves real-time monitoring of subway train speed but also further ensures the operational efficiency of subway trains.

[0055] Furthermore, this invention determines whether the preset average speed meets the standard based on the travel distance, effectively avoiding misjudgments caused by the preset average speed not meeting the standard. It enables the preset average speed to match the average speed, ensuring the accuracy of the determination. While further realizing real-time monitoring of the subway train's operating speed, it also further ensures the operating efficiency of the subway train.

[0056] Furthermore, when the present invention determines that the preset average speed does not meet the standard, it reduces the preset average speed based on the difference in travel distance, thereby avoiding the occurrence of the running speed not meeting the standard due to the preset average speed not meeting the standard. This not only further realizes the accurate analysis of the running speed of the subway train, but also further ensures the operating efficiency of the subway train.

[0057] Furthermore, this invention determines the reasons why the operation of a subway train does not meet the standards based on the average speed difference, which can accurately determine the reasons why the operation of a subway train does not meet the standards. While further realizing real-time monitoring of the operating speed of the subway train, it further ensures the operating efficiency of the subway train.

[0058] Furthermore, when the average speed difference is less than or equal to the first preset average speed difference, the present invention determines the reason why the subway train's operation does not meet the standard based on the average passenger volume, and determines the reason for non-compliance in a timely and accurate manner, avoiding misjudgment. While further realizing real-time monitoring of the subway train's operating speed, it also further ensures the operating efficiency of the subway train.

[0059] Furthermore, when the average passenger capacity is greater than the preset average passenger capacity, the present invention reduces the departure interval of the subway train based on the difference in the average passenger capacity and issues a corresponding notification. This effectively avoids the situation where the average speed of the subway train does not meet the standard due to the passenger capacity not meeting the standard. While further realizing the accurate analysis of the operating speed of the subway train, it further ensures the operating efficiency of the subway train.

[0060] Furthermore, when the average speed difference is greater than the first preset average speed difference and less than or equal to the second preset average speed difference, and when the average passenger volume is less than or equal to the preset average passenger volume, the present invention determines the reason why the operation of the subway train does not meet the standard based on the variance of the operating speed. This avoids misjudgment between the recording frequency and the need for maintenance of the subway train. While further realizing real-time monitoring of the operating speed of the subway train, it also further ensures the operating efficiency of the subway train.

[0061] Furthermore, when the recording frequency is determined to be non-compliant with the standard, the present invention increases the recording frequency based on the variance difference of the operating speed, which can effectively avoid misjudgment caused by the non-compliance of the recording frequency with the standard. This not only further enables accurate analysis of the operating speed of subway trains, but also further ensures the operating efficiency of subway trains.

[0062] Furthermore, when the present invention determines that a subway train needs maintenance, it reduces the maintenance interval of the subway train based on the cumulative mileage and issues a corresponding notification, effectively maintaining the subway train, ensuring its normal operation, and further guaranteeing the operating efficiency of the subway train. Attached Figure Description

[0063] Figure 1 This is a structural block diagram of a multi-dimensional data analysis system for subway trains according to an embodiment of the present invention;

[0064] Figure 2 This is a flowchart of a multi-dimensional data analysis method for subway trains according to an embodiment of the present invention;

[0065] Figure 3 This is a flowchart illustrating how to determine whether the operation of a subway train meets the standards and whether the preset average speed meets the standards, according to an embodiment of the present invention.

[0066] Figure 4 This is a flowchart illustrating how the operation of a subway train fails to meet standards, as described in an embodiment of the present invention. Detailed Implementation

[0067] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0068] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0069] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0070] Please see Figure 1 The diagram shown is a structural block diagram of a multi-dimensional data analysis system for subway trains according to an embodiment of the present invention. The system of this embodiment includes a data acquisition unit, a recording unit, an extraction unit, a calculation unit, an analysis unit, and a control unit; wherein,

[0071] The data acquisition unit is used to collect multi-dimensional data of the subway train, including the train's operating speed, operating time, operating location, and passenger capacity.

[0072] The recording unit is connected to the acquisition unit and is used to periodically record several operating speeds of the subway train and calculate the average value of each operating speed.

[0073] The extraction unit is connected to the recording unit to determine the running time and location of the subway train corresponding to the average running speed.

[0074] The calculation unit is connected to the extraction unit and is used to calculate the subway's travel distance based on the running time and the running location.

[0075] The analysis unit is connected to the calculation unit and is used to determine the operation of the subway train based on the average running speed.

[0076] The analysis unit is also used to determine the generated bill based on the area of ​​the distribution region;

[0077] The analysis unit is also used to generate corresponding processing instructions based on the judgment results.

[0078] Alternatively, it can complete the periodic assessment of subway trains and determine whether the operation of subway trains in the next cycle meets the standards.

[0079] The determination includes determining whether the operation of the subway train meets the standards and determining the reasons why it does not meet the standards;

[0080] The control unit is connected to the recording unit and the analysis unit respectively, and is used to redetermine the preset average speed, the departure interval of the subway train, the recording frequency or the maintenance interval of the subway train in the operation judgment process based on the received processing instructions.

[0081] Specifically, the cycle for recording several operating speeds of subway trains is 45 minutes.

[0082] Please see Figure 2 The diagram shown is a flowchart of a multi-dimensional data analysis method for subway trains according to an embodiment of the present invention. The method described in this embodiment includes:

[0083] The multi-dimensional data of the subway train is collected, including the subway train's operating speed data, operating time data, operating location data, and passenger capacity data.

[0084] The operating speeds of the subway trains are recorded periodically, and the average value of each operating speed is calculated.

[0085] Determine the running time and location of the subway train corresponding to the average running speed;

[0086] The subway's travel distance is calculated based on the running time and the running location;

[0087] The operation of the subway train is determined based on the average operating speed.

[0088] Generate corresponding processing instructions based on the judgment results.

[0089] Alternatively, it can complete the periodic assessment of subway trains and determine whether the operation of subway trains in the next cycle meets the standards.

[0090] The determination includes determining whether the operation of the subway train meets the standards and determining the reasons why it does not meet the standards;

[0091] Based on the received processing instructions, the preset average speed, the departure interval, the recording frequency, or the maintenance interval of the metro train are re-determined during the operation judgment process.

[0092] Please see Figure 3 The diagram shows a flowchart illustrating an embodiment of the present invention for determining whether the operation of a subway train meets the standards and whether the preset average speed meets the standards. The process of determining the operation of a subway train based on the average operating speed in this embodiment includes:

[0093] Obtain the average value of the running speed and record the obtained average value as the average movement speed;

[0094] The operation of the subway train is determined based on the average speed.

[0095] When the average moving speed is greater than or equal to the second preset average moving speed V2, it is determined that the operation of the subway train meets the standard, the periodic determination of the subway train is completed, and the determination of whether the operation of the subway train in the next cycle meets the standard is made. In this embodiment, the second preset average moving speed V2 = 27.6 km / h.

[0096] When the average moving speed is less than the second preset average moving speed V2 and greater than or equal to the first preset average moving speed V1, it is determined that the operation of the subway train does not meet the standard, and the preset average moving speed is determined based on the travel distance. In this embodiment, the first preset average moving speed V1 = 20.1 km / h.

[0097] When the average speed is less than the first preset average speed V1, it is determined that the operation of the subway train does not meet the standard, and the reason for the subway train's failure to meet the standard is determined based on the average speed.

[0098] Please continue reading. Figure 3 As shown, the process of determining whether the preset average speed meets the standard based on the travel distance in this embodiment of the invention includes:

[0099] When the travel distance is less than the preset travel distance T, it is determined that the preset average speed does not meet the standard, and the preset average speed is corrected based on the travel distance. In this embodiment, the preset travel distance T = 20.7 km.

[0100] When the travel distance is greater than or equal to the preset travel distance T, it is determined that the preset average speed meets the standard, but the operation of the subway train does not meet the standard, and the reason why the operation of the subway train does not meet the standard is determined based on the average speed.

[0101] Please continue reading. Figure 3 As shown, the process of correcting the preset average speed based on the travel distance in this embodiment of the invention includes:

[0102] Calculate the difference between the preset driving distance and the driving distance, and record the obtained difference as the driving distance difference;

[0103] The preset average speed is reduced based on the difference in travel distance.

[0104] When the difference in travel distance is greater than the second preset travel distance difference △D2, the preset average speed is reduced to 0.728 times the initial preset average speed. In this embodiment, the second preset travel distance difference △D2 = 4.82 km.

[0105] When the difference in travel distance is less than or equal to the second preset travel distance difference △D2 and greater than the first preset travel distance difference △D1, the preset average speed is reduced to 0.825 times the initial preset average speed. In this embodiment, the first preset travel distance difference △D1 = 2.39 km.

[0106] When the difference in travel distance is less than or equal to the first preset travel distance difference △D1, the preset average speed is reduced to 0.913 times the initial preset average speed.

[0107] Please see Figure 4 The diagram shows a flowchart illustrating the process of determining why a subway train's operation does not meet standards according to an embodiment of the present invention. The process of determining the reasons for a subway train's operation not meeting standards based on the average speed according to an embodiment of the present invention includes:

[0108] Calculate the difference between the first preset average movement speed and the average movement speed, and record the obtained difference as the average movement speed difference;

[0109] The reason why the subway train's operation does not meet the standard is determined based on the average speed difference.

[0110] When the average speed difference is less than or equal to the first preset average speed difference △G1, the reason why the subway train's operation does not meet the standard is determined based on the passenger capacity of the subway train. In this embodiment, the first preset average speed difference △G1 = 1.9 km / h.

[0111] When the average speed difference is greater than the first preset average speed difference △G1 and less than or equal to the second preset average speed difference △G2, the reason why the subway train's operation does not meet the standard is determined based on the variance of the running speed. In this embodiment, the second preset average speed difference △G2 = 12.7 km / h.

[0112] When the average speed difference is greater than the second preset average speed difference △G2, it is determined that the subway train's operation does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is adjusted based on the travel distance.

[0113] Please continue reading. Figure 4 As shown, the process of determining the reasons why the operation of a subway train does not meet the standards based on the passenger capacity of the subway train in this embodiment of the invention includes:

[0114] Determine the average passenger volume of each location segment of the subway train within the period, and record the obtained average as the average passenger volume;

[0115] The reasons why the operation of the subway train does not meet the standards are determined based on the average passenger volume.

[0116] When the average passenger volume is greater than the preset average passenger volume A, the departure interval of the subway train is adjusted based on the average passenger volume. In this embodiment, the preset average passenger volume A = 1560.

[0117] When the average passenger capacity is less than or equal to the preset average passenger capacity A, the reason why the subway train's operation does not meet the standard is determined based on the variance of the operating speed.

[0118] Please continue reading. Figure 4 As shown, the process of correcting the departure interval of subway trains based on the average passenger volume in this embodiment of the invention includes:

[0119] Calculate the difference between the average passenger capacity and the preset average passenger capacity, and record the obtained difference as the difference in average passenger capacity;

[0120] The departure interval of the subway trains is reduced based on the difference in the average passenger volume.

[0121] When the difference in the average passenger volume is greater than the second preset difference in the average passenger volume △E2, the departure interval is reduced to 0.43 times the initial departure interval, and a corresponding notification is issued. In this embodiment, the second preset difference in the average passenger volume △E2 = 168.

[0122] When the difference in the average passenger volume is less than or equal to the second preset difference in the average passenger volume △E2 and greater than the first preset difference in the average passenger volume △E1, the departure interval is reduced to 0.61 times the initial departure interval, and a corresponding notification is issued. In this embodiment, the first preset difference in the average passenger volume △E1 = 97.

[0123] When the difference in the average passenger volume is less than or equal to the first preset difference in the average passenger volume △E1, the departure interval is reduced to 0.75 times the initial departure interval, and a corresponding notification is issued.

[0124] Please continue reading. Figure 4 As shown, the process of determining the reasons why the operation of a subway train does not meet the standard based on the variance of the operating speed in this embodiment of the invention includes:

[0125] Determine the variance of the operating speed and record the obtained variance as the operating speed variance;

[0126] The reasons why the subway train's operation does not meet the standards are determined based on the aforementioned operating speed variance;

[0127] When the operating speed variance is greater than or equal to the preset operating speed variance C, the recording frequency is corrected based on the operating speed variance, wherein, in this embodiment, the preset operating speed variance C = 99.58;

[0128] When the variance of the operating speed is less than the preset variance of the operating speed C, it is determined that the subway train does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is corrected based on the travel distance.

[0129] Please continue reading. Figure 4 As shown, the process of correcting the recording frequency based on the running speed variance in this embodiment of the invention includes:

[0130] Calculate the difference between the operating speed variance and the preset operating speed variance, and record the obtained difference as the operating speed variance difference;

[0131] The recording frequency is increased based on the difference in the variance of the operating speed;

[0132] When the variance difference of the running speed is greater than the second preset variance difference of the running speed ΔF2, the recording frequency is increased to 1.65 times the initial recording frequency, wherein, in this embodiment, the second preset variance difference of the running speed ΔF2 = 67.31;

[0133] When the variance difference of the running speed is less than or equal to the second preset variance difference of the running speed ΔF2 and greater than the first preset variance difference of the running speed ΔF1, the recording frequency is increased to 1.47 times the initial recording frequency. In this embodiment, the first preset variance difference of the running speed ΔF1 = 33.86.

[0134] When the variance difference of the operating speed is less than or equal to the first preset variance difference of the operating speed ΔF1, the recording frequency is increased to 1.26 times the initial recording frequency.

[0135] Please continue reading. Figure 4 As shown, the process of correcting the maintenance time interval of the subway train based on the travel distance in this embodiment of the invention includes:

[0136] Obtain the historical travel distance of subway trains;

[0137] Calculate the sum of the historical travel distances and record the sum as the cumulative distance.

[0138] The maintenance interval of the subway train is reduced based on the cumulative mileage;

[0139] When the cumulative distance exceeds the second preset cumulative distance L2, the maintenance time interval is reduced to 0.52 times the initial maintenance time interval, and a corresponding notification is issued. In this embodiment, the second preset cumulative distance L2 = 35000 km.

[0140] When the cumulative distance is less than or equal to the second preset cumulative distance L2 and greater than the first preset cumulative distance L1, the maintenance time interval is reduced to 0.63 times the initial maintenance time interval, and a corresponding notification is issued. In this embodiment, the first preset cumulative distance L1 = 18000 km.

[0141] When the cumulative distance is less than or equal to the first preset cumulative distance L1, the maintenance time interval is reduced to 0.75 times the initial maintenance time interval, and a corresponding notification is issued.

[0142] Example 1

[0143] Data on the operating speed, operating time, operating location, and passenger load of a single subway train on a single line were collected. The operating speed of the train was periodically recorded over a 45-minute period, with recorded speeds of 51.6 km / h, 51.7 km / h, 51.5 km / h, 51.3 km / h, 51.2 km / h, 51.1 km / h, 51.8 km / h, 51.6 km / h, 51.3 km / h, 51.4 km / h, 51.3 km / h, 51.7 km / h, 51.5 km / h, 51.9 km / h, and 5... At a speed of 1.6 km / h, the average value of each operating speed is calculated, which is 51.5 km / h. The operating time and position of the subway train corresponding to the average operating speed are determined. Based on the operating time and position, the subway's travel distance is calculated, which is 42 km. The obtained average value is recorded as the average speed, which is 51.5 km / h. Since the average speed is greater than or equal to the second preset average speed of 27.6 km / h, the operation of the subway train is deemed to meet the standard. This completes the periodic assessment of the subway train and determines whether the operation of the subway train in the next cycle meets the standard.

[0144] Example 2

[0145] Data on the operating speed, operating time, operating location, and passenger load of a single subway train on another line were collected. The operating speed of this subway train was periodically recorded over 45 minutes. The recorded operating speeds were 26.8 km / h, 26.6 km / h, 26.8 km / h, 26.9 km / h, 27.1 km / h, 27.2 km / h, 26.6 km / h, 26.7 km / h, 26.8 km / h, 27.1 km / h, 27.3 km / h, 26.6 km / h, 27.0 km / h, 27.2 km / h, and 26.8 km / h. The average value of each operating speed was calculated, which was 26.9 km / h. The operating time and operating location of the subway train corresponding to the average operating speed were determined. Based on the operating time and operating location, the subway line's operating speed was calculated. The train's travel distance is 20.22 km. The average speed is 26.9 km / h, which is less than the second preset average speed of 27.6 km / h but greater than or equal to the first preset average speed of 20.1 km / h. Therefore, the train's operation is deemed not to meet the standard. Based on the travel distance, the preset average speed is also determined to meet the standard. The travel distance is 20.22 km, which is less than the preset travel distance of 20.7 km. Therefore, the preset average speed is deemed not to meet the standard. The preset average speed is then corrected based on the travel distance. The difference between the preset travel distance of 20.7 km and the travel distance of 20.22 km is calculated and recorded as the travel distance difference. The travel distance difference is 0.48 km, which is less than or equal to the first preset travel distance difference of 2.39 km. Therefore, the preset average speed is reduced to 0.913 times the initial preset average speed.

[0146] Example 3

[0147] Data on the operating speed, operating time, operating location, and passenger volume of a single metro train on a particular line were collected. The operating speed of the metro train was periodically recorded over a 45-minute period. The recorded operating speeds were 2.3 km / h, 12.6 km / h, 22.2 km / h, 36.9 km / h, 38.5 km / h, 36.7 km / h, 38.4 km / h, 38.6 km / h, 2.2 km / h, 32.8 km / h, 6.5 km / h, 15.2 km / h, 12.3 km / h, and 7 km / h. The train's average speed was calculated at 5 km / h, 16.7 km / h, 10.9 km / h, 13.5 km / h, 3.7 km / h, and 2.6 km / h. The average speed was 18.42 km / h. The train's running time and location corresponding to the average speed were determined. The train's travel distance was calculated based on the running time and location, and the travel distance was 27 km. The average speed was recorded as 18.43 km / h, which is less than the first preset average speed of 20.1 km / h. The subway train's operation did not meet the standards. Based on the average speed, the reason for this non-compliance was determined. The difference between the first preset average speed of 20.1 km / h and the average speed of 18.43 km / h was calculated and recorded as the average speed difference. The average speed difference was 1.67 km / h, which is less than or equal to the first preset average speed difference of 1.9 km / h. Based on the passenger capacity, the reason for the non-compliance was determined. The average passenger capacity of the subway train at each location segment within the period was determined and recorded as the average passenger capacity. The average passenger capacity was 1378. The average passenger capacity is 1560 or higher than the preset passenger capacity. Based on the variance of the operating speed, the reason why the subway train does not meet the standard is determined. The variance of the operating speed is determined and recorded as the operating speed variance. The operating speed variance is 195.72, which is greater than or equal to the preset operating speed variance of 99.58. The difference between the operating speed variance of 195.72 and the preset operating speed variance of 99.58 is calculated and recorded as the operating speed variance difference value. The operating speed variance difference value is 96.14, which is greater than the second preset operating speed variance difference value of 67.31. The recording frequency is increased to 1.65 times the initial recording frequency.

[0148] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0149] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-dimensional data analysis method for subway trains, characterized in that, include: Collect multi-dimensional data of subway trains, including train speed, travel time, location, and passenger volume. The system periodically records several operating speeds of subway trains and calculates the average value of each speed. Determine the running time and location of the subway train corresponding to the average running speed; The subway's travel distance is calculated based on the running time and the running location; The operation of the subway train is determined based on the average operating speed. Based on the judgment result, generate corresponding processing instructions, or complete the periodic judgment of the subway train and judge whether the operation of the subway train in the next cycle meets the standards. The determination includes determining whether the operation of the subway train meets the standards and determining the reasons why it does not meet the standards; Based on the received processing instructions, the preset average speed, train departure interval, recording frequency, or maintenance interval of the subway train in the operation judgment process are redefined.

2. The multi-dimensional data analysis method for subway trains according to claim 1, characterized in that, The process of determining the operation of subway trains based on the average operating speed includes: Obtain the average value of the running speed and record the obtained average value as the average movement speed; The operation of the subway train is determined based on the average speed. When the average moving speed is greater than or equal to the second preset average moving speed, it is determined that the operation of the subway train meets the standard, the periodic determination of the subway train is completed, and the determination of whether the operation of the subway train in the next cycle meets the standard is made. When the average moving speed is less than the second preset average moving speed but greater than or equal to the first preset average moving speed, it is determined that the operation of the subway train does not meet the standard, and the preset average moving speed is determined based on the travel distance. When the average speed is less than the first preset average speed, it is determined that the operation of the subway train does not meet the standard, and the reason for the subway train's failure to meet the standard is determined based on the average speed.

3. The multi-dimensional data analysis method for subway trains according to claim 2, characterized in that, The process of determining whether the preset average speed meets the standard based on the travel distance includes: When the travel distance is less than the preset travel distance, it is determined that the preset average speed does not meet the standard, and the preset average speed is corrected based on the travel distance. When the travel distance is greater than or equal to the preset travel distance, it is determined that the preset average speed meets the standard, but the operation of the subway train does not meet the standard, and the reason why the operation of the subway train does not meet the standard is determined based on the average speed.

4. The multi-dimensional data analysis method for subway trains according to claim 3, characterized in that, The process of correcting the preset average speed based on the travel distance includes: Calculate the difference between the preset driving distance and the driving distance, and record the obtained difference as the driving distance difference; The preset average speed is reduced based on the difference in travel distance, and the reduction in the preset average speed is proportional to the difference in travel distance.

5. The multi-dimensional data analysis method for subway trains according to claim 3, characterized in that, The process of determining the reasons why the subway train's operation does not meet the standards based on the average speed includes: Calculate the difference between the first preset average movement speed and the average movement speed, and record the obtained difference as the average movement speed difference; The reason why the subway train's operation does not meet the standard is determined based on the average speed difference. When the average speed difference is less than or equal to the first preset average speed difference, the reason why the subway train's operation does not meet the standard is determined based on the passenger capacity of the subway train. When the average speed difference is greater than the first preset average speed difference and less than or equal to the second preset average speed difference, the reason why the subway train's operation does not meet the standard is determined based on the variance of the running speed. When the average speed difference is greater than the second preset average speed difference, it is determined that the subway train's operation does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is adjusted based on the travel distance.

6. The multi-dimensional data analysis method for subway trains according to claim 5, characterized in that, The process of determining the reasons why a subway train's operation does not meet standards based on its passenger capacity includes: Determine the average passenger volume of each location segment of the subway train within the period, and record the obtained average as the average passenger volume; The reasons why the operation of the subway train does not meet the standards are determined based on the average passenger volume. When the average passenger volume is greater than the preset average passenger volume, the departure interval of the subway train is adjusted based on the average passenger volume. When the average passenger capacity is less than or equal to the preset average passenger capacity, the reason why the subway train's operation does not meet the standard is determined based on the variance of the operating speed.

7. The multi-dimensional data analysis method for subway trains according to claim 6, characterized in that, The process of adjusting the departure interval of subway trains based on the average passenger volume includes: Calculate the difference between the average passenger capacity and the preset average passenger capacity, and record the obtained difference as the difference in average passenger capacity; The train interval is reduced based on the difference in average passenger volume, and the reduction in train interval is proportional to the difference in average passenger volume, and a corresponding notification is issued.

8. The multi-dimensional data analysis method for subway trains according to claim 6, characterized in that, The process of determining the reasons why the operation of a subway train does not meet the standards based on the variance of the operating speed includes: Determine the variance of the operating speed and record the obtained variance as the operating speed variance; The reasons why the subway train's operation does not meet the standards are determined based on the aforementioned operating speed variance; When the operating speed variance is greater than or equal to the preset operating speed variance, the recording frequency is corrected based on the operating speed variance. When the variance of the operating speed is less than the preset variance of the operating speed, it is determined that the subway train does not meet the standard because the subway train needs maintenance, and the maintenance time interval of the subway train is adjusted based on the travel distance.

9. The multi-dimensional data analysis method for subway trains according to claim 8, characterized in that, The process of correcting the recording frequency based on the running speed variance includes: Calculate the difference between the operating speed variance and the preset operating speed variance, and record the obtained difference as the operating speed variance difference; The recording frequency is increased based on the difference in operating speed variance, and the increase in recording frequency is proportional to the difference in operating speed variance.

10. The multi-dimensional data analysis method for subway trains according to claim 8, characterized in that, The process of adjusting the maintenance time interval of the subway train based on the travel distance includes: Obtain the historical travel distance of subway trains; Calculate the sum of the historical travel distances and record the sum as the cumulative distance. The maintenance interval of the subway train is reduced based on the accumulated mileage, and the reduction in the maintenance interval is proportional to the accumulated mileage, and a corresponding notification is issued.

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