Train residual material transferring and conveying system

Abstract

The invention relates to the technical field of material transferring and conveying, and discloses a train residual material transferring and conveying system which is characterized in that a material acquisition module acquires historical residual material data of a plurality of historical residual material transferring and conveying instructions of a train; the material analysis module analyzes the historical residual material data and extracts a plurality of standard historical residual material data based on an analysis result; the material calculation module classifies all the standard historical remaining material data and calculates a historical remaining material generation metric value of the train based on a classification result; and the transfer conveying module sets a residual material transfer conveying strategy of a next residual material transfer conveying instruction of the train according to the historical residual material generation metric value, historical data can be fully utilized, the future residual material generation condition can be intelligently analyzed and predicted, and the transfer conveying strategy is dynamically and accurately formulated according to the future residual material generation condition. Energy conservation and consumption reduction are achieved, the cleaning efficiency is improved, the labor cost is reduced, and finally the overall operation efficiency of freight transport is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of material transfer and conveying, in particular to a train residual material transfer and conveying system. BACKGROUND

[0002] In the field of railway transportation, especially in the process of unloading and cleaning of freight trains, residual materials are a common phenomenon. These residual materials may include bulk goods (such as coal, ore, grain, etc.) that are not completely unloaded or residues generated during loading and unloading. In order to ensure the cleanliness of the train cars, ensure the quality of subsequent transported goods, and improve the turnover efficiency of the cars, effective transfer and conveying processing of this part of residual material is needed.

[0003] With the development of intelligent logistics and industrial automation technology, more sophisticated and intelligent management of railway transportation links is required. Although some existing automated systems can achieve automatic conveying of materials, their control logic is often relatively simple, usually only reacting to single, near-term sensor data, lacking deep mining and analysis of historical data, and unable to learn from historical operation data and predict the generation pattern of residual materials, thus making it difficult to make forward-looking and optimized scheduling decisions. This can easily lead to a mismatch between the transfer and conveying strategy (such as the start and stop of the conveying belt, speed adjustment) and the actual situation. SUMMARY

[0004] The present application provides a train residual material transfer and conveying system that can fully utilize historical data, predict future residual material generation through intelligent analysis, and dynamically and accurately develop a transfer and conveying strategy based on the same, achieving energy saving, improving cleaning efficiency, reducing labor costs, and ultimately improving the overall operational efficiency of freight transportation.

[0005] To achieve the above purpose, the present application provides a train residual material transfer and conveying system, comprising:

[0006] A material acquisition module for acquiring historical residual material data of a plurality of historical residual material transfer and conveying instructions of a train;

[0007] A material analysis module for analyzing the historical residual material data and extracting a plurality of standard historical residual material data based on the analysis results;

[0008] A material calculation module for classifying all standard historical residual material data and calculating a historical residual material generation metric value of the train based on the classification results;

[0009] A transfer and conveying module for setting a residual material transfer and conveying strategy of a next residual material transfer and conveying instruction of the train according to the historical residual material generation metric value.

[0010] Further, further comprising:

[0011] a data cleaning module, configured to traverse and clean data of all historical residual material data, wherein the data cleaning comprises deleting duplicate historical residual material data, deleting invalid historical residual material data, and deleting erroneous historical residual material data.

[0012] Further, the material analysis module is configured to:

[0013] The material analysis module is configured to determine a historical residual material data from all historical residual material data;

[0014] The material analysis module is configured to calculate a data mean value of all historical residual material data, determine an absolute value of a difference between the historical residual material data and the data mean value as a historical residual material data abnormality factor;

[0015] The material analysis module is configured to determine a previous historical residual material data and a next historical residual material data corresponding to the historical residual material data;

[0016] The material analysis module is configured to calculate a previous absolute value of a difference between the historical residual material data and the previous historical residual material data, and a next absolute value of a difference between the historical residual material data and the next historical residual material data;

[0017] The material analysis module is configured to take a sum of the previous historical residual material data and the next historical residual material data as a neighboring data fluctuation factor;

[0018] The material analysis module is configured to determine a collection time corresponding to the historical residual material data, a previous collection time corresponding to the previous historical residual material data, and a next collection time corresponding to the next historical residual material data;

[0019] The material analysis module is configured to determine a first collection time interval between the collection time and the previous collection time, and a second collection time interval between the collection time and the next collection time;

[0020] The material analysis module is configured to calculate a comprehensive abnormality fluctuation metric value corresponding to the historical residual material data according to the historical residual material data abnormality factor, the neighboring data fluctuation factor, the first collection time interval, and the second collection time interval.

[0021] Further, the material analysis module is configured to:

[0022] The material analysis module is configured to calculate the comprehensive abnormality fluctuation metric value according to the following formula:

[0023] m=n1×b+n2×v+n3×|c1-c2|;

[0024] Where m is the comprehensive deviation fluctuation metric, n1 is the first calculation coefficient, n2 is the second calculation coefficient, n3 is the third calculation coefficient, n1>n2>n3, b is the deviation factor of historical remaining material data, v is the fluctuation factor of adjacent data, c1 is the first collection time interval, and c2 is the second collection time interval.

[0025] Furthermore, the material analysis module is used for:

[0026] The material analysis module is used to pre-set a preset comprehensive deviation fluctuation metric value. When the comprehensive deviation fluctuation metric value is less than the preset comprehensive deviation fluctuation metric value, the corresponding remaining material data is determined to be non-standard historical remaining material data.

[0027] The material analysis module is used to determine the corresponding remaining material data as standard historical remaining material data when the comprehensive deviation fluctuation metric value is greater than or equal to the preset comprehensive deviation fluctuation metric value.

[0028] Furthermore, the material calculation module is used for:

[0029] The material calculation module is used to classify all standard historical remaining material data, extract the same standard historical remaining material data, and obtain multiple standard historical remaining material data sequences.

[0030] The material calculation module is used to calculate the first quantity of the standard historical remaining material data sequence;

[0031] The material calculation module is used to extract one standard historical remaining material data from each of the standard historical remaining material data sequences, and to calculate the first standard historical remaining material data and value.

[0032] The material calculation module is used to calculate the sequence mean of all standard historical remaining material data sequences, remove all standard historical remaining material data sequences that are less than the sequence mean, and count the number of second standard historical remaining material data sequences of the remaining standard historical remaining material data sequences.

[0033] The material calculation module is used to extract one standard historical remaining material data from the remaining standard historical remaining material data sequence, and to calculate the second standard historical remaining material data and value.

[0034] The material calculation module is used to calculate the historical remaining material generation metric of the train based on the quantity of the first standard historical remaining material data sequence, the quantity of the second standard historical remaining material data sequence, the sum of the first standard historical remaining material data and the sum of the second standard historical remaining material data.

[0035] Furthermore, the material calculation module is used for:

[0036] The material calculation module is used to calculate the historical remaining material generation metric value of the train according to the following formula:

[0037]

[0038] Where s is the historical residual material generation metric of the train, d1 is the number of the first standard historical residual material data sequence, d2 is the number of the second standard historical residual material data sequence, f1 is the sum of the first standard historical residual material data, and f2 is the sum of the second standard historical residual material data.

[0039] Furthermore, the transfer and conveying module is used for:

[0040] The transfer and conveying module is used to obtain the next expected amount of remaining material on the train;

[0041] The transfer and conveying module is used to adjust the next expected amount of remaining material based on the historical remaining material generation metric value to obtain the next predicted amount of remaining material, which serves as the remaining material transfer and conveying strategy for the next remaining material transfer and conveying instruction of the train.

[0042] Furthermore, the transfer and conveying module is used for:

[0043] The transfer and conveying module is used to pre-set a first preset historical residual material generation metric value and a second preset historical residual material generation metric value.

[0044] The transfer and conveying module is used to preset a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value;

[0045] The transfer and conveying module is used to calculate the product of the first preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is less than the first preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material.

[0046] The transfer and conveying module is used to calculate the product of the second preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the first preset historical remaining material generation measurement value and less than the second preset historical remaining material generation measurement value, and then use it as the next predicted amount of remaining material.

[0047] The transfer and conveying module is used to calculate the product of the third preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the second preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material.

[0048] Furthermore, the transfer and conveying module is used for:

[0049] The transfer and conveying module is used to increase the speed of the transfer conveyor belt when the next predicted remaining material quantity is greater than the preset next predicted remaining material quantity.

[0050] The transfer and conveying module is used to maintain the speed of the transfer conveyor belt when the next predicted remaining material quantity is equal to the preset next predicted remaining material quantity.

[0051] The transfer and conveying module is used to reduce the speed of the transfer conveyor belt when the next predicted remaining material quantity is less than the preset next predicted remaining material quantity.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] This invention discloses a train surplus material transfer and conveying system. A material acquisition module acquires historical surplus material data from multiple historical surplus material transfer and conveying instructions from the train. A material analysis module analyzes the historical surplus material data and extracts multiple standard historical surplus material data based on the analysis results. A material calculation module classifies all the standard historical surplus material data and calculates the historical surplus material generation metric value based on the classification results. The transfer and conveying module sets the surplus material transfer and conveying strategy for the next surplus material transfer and conveying instruction from the train based on the historical surplus material generation metric value. This system can fully utilize historical data, intelligently analyze and predict future surplus material generation, and dynamically and accurately formulate transfer and conveying strategies accordingly. This achieves energy saving and consumption reduction, improved cleaning efficiency, reduced labor costs, and ultimately improves the overall operational efficiency of freight transport. Attached Figure Description

[0054] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0055] Figure 1 A schematic diagram of a train surplus material transfer and conveying system is shown in an embodiment of the present invention. Detailed Implementation

[0056] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0057] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0058] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0059] In the description of this application, it should be noted that, unless otherwise expressly 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 between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0060] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0061] like Figure 1 As shown, an embodiment of the present invention discloses a train surplus material transfer and conveying system, including: a material acquisition module, a material analysis module, a material calculation module, and a transfer and conveying module.

[0062] In some embodiments of this application, the material acquisition module is used to acquire historical remaining material data of multiple historical remaining material transfer and transportation instructions of the train;

[0063] In this embodiment, the historical surplus material transfer and conveying instruction refers to the instruction to transfer and convey the surplus material.

[0064] In this embodiment, each historical remaining material transfer and conveying instruction has a corresponding start time.

[0065] In this embodiment, the preferred number of historical surplus material transfer and conveying instructions is 16, but it can be adjusted according to needs.

[0066] The material analysis module is used to analyze the historical remaining material data and extract multiple standard historical remaining material data based on the analysis results.

[0067] In some embodiments of this application, it also includes:

[0068] The data cleaning module is used to traverse and clean all historical remaining material data. The data cleaning includes deleting duplicate historical remaining material data, deleting invalid historical remaining material data, and deleting erroneous historical remaining material data.

[0069] The beneficial effects of the above technical solution are: the present invention deletes duplicate historical remaining material data, invalid historical remaining material data, and erroneous historical remaining material data, which can ensure an accurate data foundation.

[0070] In some embodiments of this application, the material analysis module is used for:

[0071] The material analysis module is used to determine a historical remaining material data from all historical remaining material data;

[0072] The material analysis module is used to calculate the average value of all historical remaining material data and determine the absolute value of the difference between the historical remaining material data and the average value, which is used as the historical remaining material data deviation factor.

[0073] The material analysis module is used to determine the previous and next historical remaining material data corresponding to the historical remaining material data;

[0074] The material analysis module is used to calculate the absolute value of the difference between the historical remaining material data and the previous historical remaining material data, and to calculate the absolute value of the difference between the historical remaining material data and the next historical remaining material data.

[0075] The material analysis module is used to take the sum of the previous historical remaining material data and the next historical remaining material data as the adjacent data fluctuation factor;

[0076] The material analysis module is used to determine the collection time corresponding to the historical remaining material data, the previous collection time corresponding to the previous historical remaining material data, and the next collection time corresponding to the next historical remaining material data.

[0077] The material analysis module is used to determine a first time interval between the collection time and the previous collection time, and to determine a second time interval between the collection time and the next collection time;

[0078] The material analysis module is used to calculate the comprehensive deviation and fluctuation metric value corresponding to the historical remaining material data based on the deviation factor of the historical remaining material data, the fluctuation factor of adjacent data, the first collection time interval, and the second collection time interval.

[0079] In this embodiment, the previous and next historical remaining material data can be determined based on the start time corresponding to the historical remaining material transfer and conveying instructions. Furthermore, the time interval can be determined based on the corresponding start time.

[0080] The beneficial effects of the above technical solution are as follows: the historical remaining material data deviation factor, obtained by calculating the absolute value of the difference between historical remaining material data and the data mean, reflects the degree of deviation of the data from the overall data. The adjacent data fluctuation factor is determined by the sum of the previous and next historical remaining material data, reflecting the data's fluctuation over time. The determination of the first and second data collection intervals provides a time-dimensional reference for the subsequent calculation of the comprehensive deviation fluctuation metric. By calculating the comprehensive deviation fluctuation metric corresponding to the historical remaining material data based on the historical remaining material data deviation factor, adjacent data fluctuation factor, first data collection interval, and second data collection interval, the comprehensive deviation fluctuation metric is calculated, taking into account the degree of deviation, fluctuation, and time interval, thus enabling a more comprehensive assessment of the characteristics of the historical remaining material data.

[0081] In some embodiments of this application, the material analysis module is used for:

[0082] The material analysis module is used to calculate the comprehensive deviation fluctuation metric value according to the following formula:

[0083] m=n1×b+n2×v+n3×|c1-c2|;

[0084] Where m is the comprehensive deviation fluctuation metric, n1 is the first calculation coefficient, n2 is the second calculation coefficient, n3 is the third calculation coefficient, n1>n2>n3, b is the deviation factor of historical remaining material data, v is the fluctuation factor of adjacent data, c1 is the first collection time interval, and c2 is the second collection time interval.

[0085] In this embodiment, n1+n2+n3=1.

[0086] In some embodiments of this application, the material analysis module is used for:

[0087] The material analysis module is used to pre-set a preset comprehensive deviation fluctuation metric value. When the comprehensive deviation fluctuation metric value is less than the preset comprehensive deviation fluctuation metric value, the corresponding remaining material data is determined to be non-standard historical remaining material data.

[0088] The material analysis module is used to determine the corresponding remaining material data as standard historical remaining material data when the comprehensive deviation fluctuation metric value is greater than or equal to the preset comprehensive deviation fluctuation metric value.

[0089] In this embodiment, the preset comprehensive deviation fluctuation metric value is preferably 10, but it can be adjusted adaptively according to actual needs.

[0090] The beneficial effects of the above technical solution are as follows: By pre-setting a comprehensive deviation fluctuation metric value and comparing it with the calculated comprehensive deviation fluctuation metric value, the material analysis module can accurately classify historical surplus material data into standard and non-standard categories. This improves the accuracy and efficiency of the entire train surplus material transfer and transportation system. When the comprehensive deviation fluctuation metric value is less than the preset value, it indicates that the data deviates little from the overall data and the fluctuation is not significant, therefore it is judged as non-standard historical surplus material data; while when the comprehensive deviation fluctuation metric value is greater than or equal to the preset value, it indicates that the data has a large degree of deviation and fluctuation, and it is judged as standard historical surplus material data for subsequent calculation and analysis.

[0091] The material calculation module is used to classify all standard historical remaining material data and calculate the historical remaining material of the train based on the classification results to generate a metric value.

[0092] In some embodiments of this application, the material calculation module is used for:

[0093] The material calculation module is used to classify all standard historical remaining material data, extract the same standard historical remaining material data, and obtain multiple standard historical remaining material data sequences.

[0094] The material calculation module is used to calculate the first quantity of the standard historical remaining material data sequence;

[0095] The material calculation module is used to extract one standard historical remaining material data from each of the standard historical remaining material data sequences, and to calculate the first standard historical remaining material data and value.

[0096] The material calculation module is used to calculate the sequence mean of all standard historical remaining material data sequences, remove all standard historical remaining material data sequences that are less than the sequence mean, and count the number of second standard historical remaining material data sequences of the remaining standard historical remaining material data sequences.

[0097] The material calculation module is used to extract one standard historical remaining material data from the remaining standard historical remaining material data sequence, and to calculate the second standard historical remaining material data and value.

[0098] The material calculation module is used to calculate the historical remaining material generation metric of the train based on the quantity of the first standard historical remaining material data sequence, the quantity of the second standard historical remaining material data sequence, the sum of the first standard historical remaining material data and the sum of the second standard historical remaining material data.

[0099] In this embodiment, the standard historical remaining material data within each standard historical remaining material data sequence is the same, but the standard historical remaining material data sequences are different from each other.

[0100] The beneficial effects of the above technical solution are as follows: The present invention calculates the historical remaining material production metric of the train based on the number of the first standard historical remaining material data sequence, the number of the second standard historical remaining material data sequence, the sum of the first standard historical remaining material data and the sum of the second standard historical remaining material data. The present invention characterizes the historical material production pattern of the train through the historical remaining material production metric, and provides reliable technical support for predicting the material production of the train in the next stage.

[0101] In some embodiments of this application, the material calculation module is used for:

[0102] The material calculation module is used to calculate the historical remaining material generation metric value of the train according to the following formula:

[0103]

[0104] Where s is the historical residual material generation metric of the train, d1 is the number of the first standard historical residual material data sequence, d2 is the number of the second standard historical residual material data sequence, f1 is the sum of the first standard historical residual material data, and f2 is the sum of the second standard historical residual material data.

[0105] The transfer and conveying module is used to set the remaining material transfer and conveying strategy for the next remaining material transfer and conveying instruction of the train based on the measurement value generated by the historical remaining material.

[0106] In some embodiments of this application, the transfer and conveying module is used for:

[0107] The transfer and conveying module is used to obtain the next expected amount of remaining material on the train;

[0108] The transfer and conveying module is used to adjust the next expected amount of remaining material based on the historical remaining material generation metric value to obtain the next predicted amount of remaining material, which serves as the remaining material transfer and conveying strategy for the next remaining material transfer and conveying instruction of the train.

[0109] In this embodiment, the next expected remaining material value is set by the staff based on their work experience.

[0110] The beneficial effects of the above technical solution are: the present invention adjusts the next expected amount of remaining material based on the historical remaining material generation measurement value to obtain the next predicted amount of remaining material, which serves as the remaining material transfer and transportation strategy for the next remaining material transfer and transportation instruction of the train. This achieves accurate prediction of the next material generation of the train. It learns and predicts the generation pattern of remaining material from historical operating data, thus making it difficult to achieve forward-looking and optimal scheduling decisions.

[0111] In some embodiments of this application, the transfer and conveying module is used for:

[0112] The transfer and conveying module is used to pre-set a first preset historical residual material generation metric value and a second preset historical residual material generation metric value.

[0113] The transfer and conveying module is used to preset a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value;

[0114] The transfer and conveying module is used to calculate the product of the first preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is less than the first preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material.

[0115] The transfer and conveying module is used to calculate the product of the second preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the first preset historical remaining material generation measurement value and less than the second preset historical remaining material generation measurement value, and then use it as the next predicted amount of remaining material.

[0116] The transfer and conveying module is used to calculate the product of the third preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the second preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material.

[0117] In this embodiment, the first preset historical remaining material generation measurement value is preferably 2, and the second preset historical remaining material generation measurement value is preferably 5. The specific values ​​can be adjusted according to actual needs.

[0118] In this embodiment, the first preset adjustment value is preferably 0.85, the second preset adjustment value is preferably 1.15, and the third preset adjustment value is preferably 1.25. The specific values ​​can be adjusted according to actual needs.

[0119] The beneficial effects of the above technical solution are: the present invention selects the corresponding preset adjustment value based on the historical residual material generation measurement value, the first preset historical residual material generation measurement value and the second preset historical residual material generation measurement value, so as to realize the adjustment of the next expected residual material quantity, obtain the next predicted residual material quantity, ensure the accuracy of material prediction, and lay the foundation for material transfer and transportation.

[0120] In some embodiments of this application, the transfer and conveying module is used for:

[0121] The transfer and conveying module is used to increase the speed of the transfer conveyor belt when the next predicted remaining material quantity is greater than the preset next predicted remaining material quantity.

[0122] The transfer and conveying module is used to maintain the speed of the transfer conveyor belt when the next predicted remaining material quantity is equal to the preset next predicted remaining material quantity.

[0123] The transfer and conveying module is used to reduce the speed of the transfer conveyor belt when the next predicted remaining material amount is less than the preset next predicted remaining material amount.

[0124] The beneficial effects of the above technical solution are as follows: by comparing the next predicted remaining material quantity with the preset next predicted remaining material quantity, the speed of the transfer conveyor belt can be flexibly adjusted. When the predicted remaining material quantity is large, increasing the speed of the transfer conveyor belt can complete the material transfer faster and avoid material accumulation; when the predicted remaining material quantity is moderate, maintaining the current speed can ensure a balance between transfer efficiency and energy consumption; when the predicted remaining material quantity is small, reducing the speed can reduce unnecessary energy consumption and equipment wear, thereby achieving optimization and efficient operation of the entire material transfer process.

[0125] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0126] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0127] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for transferring and conveying surplus materials from trains, characterized in that, include: The material acquisition module is used to acquire historical remaining material data from multiple historical remaining material transfer and transportation instructions for trains; The material analysis module is used to analyze the historical remaining material data and extract multiple standard historical remaining material data based on the analysis results. The material calculation module is used to classify all standard historical remaining material data and calculate the historical remaining material of the train based on the classification results to generate a metric value. The transfer and conveying module is used to set the remaining material transfer and conveying strategy for the next remaining material transfer and conveying instruction of the train based on the measurement value generated by the historical remaining material.

2. The train surplus material transfer and conveying system according to claim 1, characterized in that, Also includes: The data cleaning module is used to traverse and clean all historical remaining material data. The data cleaning includes deleting duplicate historical remaining material data, deleting invalid historical remaining material data, and deleting erroneous historical remaining material data.

3. The train surplus material transfer and conveying system according to claim 1, characterized in that, The material analysis module is used for: The material analysis module is used to determine a historical remaining material data from all historical remaining material data; The material analysis module is used to calculate the average value of all historical remaining material data and determine the absolute value of the difference between the historical remaining material data and the average value, which is used as the historical remaining material data deviation factor. The material analysis module is used to determine the previous and next historical remaining material data corresponding to the historical remaining material data; The material analysis module is used to calculate the absolute value of the difference between the historical remaining material data and the previous historical remaining material data, and to calculate the absolute value of the difference between the historical remaining material data and the next historical remaining material data. The material analysis module is used to take the sum of the previous historical remaining material data and the next historical remaining material data as the adjacent data fluctuation factor; The material analysis module is used to determine the collection time corresponding to the historical remaining material data, the previous collection time corresponding to the previous historical remaining material data, and the next collection time corresponding to the next historical remaining material data. The material analysis module is used to determine a first time interval between the collection time and the previous collection time, and to determine a second time interval between the collection time and the next collection time; The material analysis module is used to calculate the comprehensive deviation and fluctuation metric value corresponding to the historical remaining material data based on the deviation factor of the historical remaining material data, the fluctuation factor of adjacent data, the first collection time interval, and the second collection time interval.

4. The train surplus material transfer and conveying system according to claim 3, characterized in that, The material analysis module is used for: The material analysis module is used to calculate the comprehensive deviation fluctuation metric value according to the following formula: m=n1×b+n2×v+n3×|c1-c2|; Where m is the comprehensive deviation fluctuation metric, n1 is the first calculation coefficient, n2 is the second calculation coefficient, n3 is the third calculation coefficient, n1>n2>n3, b is the deviation factor of historical remaining material data, v is the fluctuation factor of adjacent data, c1 is the first collection time interval, and c2 is the second collection time interval.

5. The train surplus material transfer and conveying system according to claim 3, characterized in that, The material analysis module is used for: The material analysis module is used to pre-set a preset comprehensive deviation fluctuation metric value. When the comprehensive deviation fluctuation metric value is less than the preset comprehensive deviation fluctuation metric value, the corresponding remaining material data is determined to be non-standard historical remaining material data. The material analysis module is used to determine the corresponding remaining material data as standard historical remaining material data when the comprehensive deviation fluctuation metric value is greater than or equal to the preset comprehensive deviation fluctuation metric value.

6. The train surplus material transfer and conveying system according to claim 1, characterized in that, The material calculation module is used for: The material calculation module is used to classify all standard historical remaining material data, extract the same standard historical remaining material data, and obtain multiple standard historical remaining material data sequences. The material calculation module is used to calculate the first quantity of the standard historical remaining material data sequence; The material calculation module is used to extract one standard historical remaining material data from each of the standard historical remaining material data sequences, and to calculate the first standard historical remaining material data and value. The material calculation module is used to calculate the sequence mean of all standard historical remaining material data sequences, remove all standard historical remaining material data sequences that are less than the sequence mean, and count the number of second standard historical remaining material data sequences of the remaining standard historical remaining material data sequences. The material calculation module is used to extract one standard historical remaining material data from the remaining standard historical remaining material data sequence, and to calculate the second standard historical remaining material data and value. The material calculation module is used to calculate the historical remaining material generation metric of the train based on the quantity of the first standard historical remaining material data sequence, the quantity of the second standard historical remaining material data sequence, the sum of the first standard historical remaining material data and the sum of the second standard historical remaining material data.

7. The train surplus material transfer and conveying system according to claim 6, characterized in that, The material calculation module is used for: The material calculation module is used to calculate the historical remaining material generation metric value of the train according to the following formula: Where s is the historical residual material generation metric of the train, d1 is the number of the first standard historical residual material data sequence, d2 is the number of the second standard historical residual material data sequence, f1 is the sum of the first standard historical residual material data, and f2 is the sum of the second standard historical residual material data.

8. The train surplus material transfer and conveying system according to claim 1, characterized in that, The transfer and conveying module is used for: The transfer and conveying module is used to obtain the next expected amount of remaining material on the train; The transfer and conveying module is used to adjust the next expected amount of remaining material based on the historical remaining material generation metric value to obtain the next predicted amount of remaining material, which serves as the remaining material transfer and conveying strategy for the next remaining material transfer and conveying instruction of the train.

9. The train surplus material transfer and conveying system according to claim 8, characterized in that, The transfer and conveying module is used for: The transfer and conveying module is used to pre-set a first preset historical residual material generation metric value and a second preset historical residual material generation metric value. The transfer and conveying module is used to preset a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value; The transfer and conveying module is used to calculate the product of the first preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is less than the first preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material. The transfer and conveying module is used to calculate the product of the second preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the first preset historical remaining material generation measurement value and less than the second preset historical remaining material generation measurement value, and then use it as the next predicted amount of remaining material. The transfer and conveying module is used to calculate the product of the third preset adjustment value and the next expected amount of remaining material when the historical remaining material generation measurement value is greater than or equal to the second preset historical remaining material generation measurement value, and use it as the next predicted amount of remaining material.

10. The train surplus material transfer and conveying system according to claim 8, characterized in that, The transfer and conveying module is used for: The transfer and conveying module is used to increase the speed of the transfer conveyor belt when the next predicted remaining material quantity is greater than the preset next predicted remaining material quantity. The transfer and conveying module is used to maintain the speed of the transfer conveyor belt when the next predicted remaining material quantity is equal to the preset next predicted remaining material quantity. The transfer and conveying module is used to reduce the speed of the transfer conveyor belt when the next predicted remaining material quantity is less than the preset next predicted remaining material quantity.

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