Intelligent transportation scheduling system of rail transit equipment industry

Abstract

The invention discloses an intelligent transportation scheduling system for the rail transit equipment industry, which comprises a data acquisition module, a transportation module, a scheduling module and an output module, and is characterized in that the data acquisition module is used for collecting related information of railway transportation; the transportation module is used for detecting parameter indexes of railway transportation; the scheduling module analyzes problems generated when the cargoes arrive at different unloading places; the output module is used for transmitting the planning information to transfer personnel at a loading site; the cargo batching module is used for enabling cargos at different delivery sites to arrive at unloading sites at different time; the scheduling analysis sub-module obtains an adjustment scheme beneficial to reducing the unloading pressure of the unloading places according to the stacking degrees of different unloading places; the loading evaluation module enables more unloading sites to execute an adjustment scheme to the maximum extent under the condition that the normal warehouse storage capacity of the shipping sites is guaranteed, the goods problems of the shipping sites and the unloading sites are considered, and the method has the advantages of being high in design transportation efficiency and high in transportation resource utilization rate.

Description

Technical Field

[0001] The present invention relates to the technical field of transportation management, and in particular to an intelligent transportation scheduling system for the rail transportation equipment industry. Background Art

[0002] The organization and command of daily subway transportation production are generally implemented uniformly by the dispatching organization established by the railway transportation department. Although the national railway transportation dispatching work has its own characteristics, its main contents include train operation and vehicle allocation. Train operation refers to the command of train operation, and vehicle allocation refers to the planning and organization of cargo loading and unloading, train operation, and traffic flow adjustment.

[0003] Since the development of railway transportation, train dispatchers have used dispatch telephones, train wireless dispatch telephones, etc. to continuously collect train operation information from the dispatching section they command, and take corresponding operation adjustment measures based on the actual situation of train operation to ensure the rational operation of the train. However, due to the instability of the amount of cargo transported each time and the uneven distribution of human resources at different loading and unloading locations, a series of cargo transportation problems still arise. Therefore, some railway dispatching systems have improved the cargo transportation allocation system so that the manpower at each loading and unloading location and the cargo transportation volume between loading and unloading points are reasonably distributed. However, during railway transportation, there will still be situations where there is too much cargo at one loading and unloading location, resulting in cargo being stranded, while there is no cargo loading and unloading at another loading and unloading location, resulting in a waste of human resources. Therefore, it is very necessary to design an intelligent transportation dispatching system and method for the rail transportation equipment industry with high transportation efficiency and high transportation resource utilization. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent transportation scheduling system and method for the rail transportation equipment industry to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent transportation scheduling system and method for the rail transit equipment industry, including a data acquisition module, a transportation module, a scheduling module and an output module. The data acquisition module is used to collect relevant information of railway transportation; the transportation module is used to detect parameter indicators of railway transportation; the scheduling module analyzes the problems caused by the arrival of goods at different unloading locations; and the output module is used to transmit planning information to the mobilization personnel at the loading location.

[0006] According to the above technical solution, the transportation module includes a unloading information analysis module and a transportation batch detection module. The unloading information analysis module is used to obtain information about the target unloading location; the transportation batch detection module is used to detect cargo batches between the loading location and different unloading locations.

[0007] According to the above technical solution, the scheduling module includes a cargo batching module, a transportation planning module and a loading evaluation module. The cargo batching module is used to analyze the cargo batches arriving at the same unloading location; the transportation planning module is used to predict the accumulation of cargo arriving at the unloading location and provide an adjustment plan; the loading evaluation module is used to confirm the cargo storage situation at the shipping location and determine whether to implement the adjustment plan. The transportation planning module includes a cargo accumulation analysis submodule and a scheduling analysis submodule. The cargo accumulation analysis submodule is used to classify the accumulation of cargo at the unloading location; the scheduling analysis submodule is used to make adjustments to the detention of cargo at different loading and unloading locations.

[0008] According to the above technical solution, the output module includes a scheduling information adjustment module and a scheduling communication module. The scheduling information adjustment module is used to output cargo adjustment information for railway transportation; the scheduling communication module is used to transmit abnormal transportation and loading and unloading information to the scheduling personnel at the loading location.

[0009] According to the above technical solution, the intelligent transportation scheduling system mainly includes the following steps:

[0010] Step S1: The data acquisition module obtains the cargo information required to be transported at the loading location on the day, the human resource information at the unloading location, and the time information required to travel from different loading locations to different unloading locations through the loading information collection module;

[0011] Step S2: The staff at the loading location uploads the transport volume and unloading location of the transported goods through the transportation module. The unloading information analysis module analyzes the unloading time required for each unloading location and transmits the unloading information to the staff at the unloading location. The staff uploads the human resource information of the unloading location on that day. If the unloading information analysis module determines that the human resource is sufficient, the transport batch detection module detects the batches of goods between the current loading location and the target unloading location and returns the information to the staff at the loading location. Otherwise, the information of staff shortage at the unloading location is transmitted to the scheduling communication module.

[0012] Step S3: The transportation planning module obtains the unloading status of the goods at the target unloading location within each cargo batch time period, obtains the time from different loading locations to the target unloading location through the cargo batching module, and controls the goods from different loading locations to arrive at the target unloading location at intervals;

[0013] Step S4: The cargo accumulation analysis submodule obtains the accumulation degree of each of the X batches of cargo between the loading location and the unloading location at the unloading location, and predicts the cargo accumulation condition at the unloading location when the cargo from the current loading location arrives at the unloading location, and transmits the prediction information to the scheduling analysis submodule;

[0014] Step S5: The scheduling analysis submodule receives the forecast information from the cargo accumulation analysis submodule, analyzes the forecast situation, and proposes different solutions to adjust the unloading situation at the unloading location according to different situations, and sends an adjustment request to the loading assessment module;

[0015] Step S6: The loading assessment module receives the adjustment request from the scheduling analysis submodule, obtains the accumulation status of the goods at each unloading location, and checks the storage capacity of the goods at the shipping location warehouse to determine whether to adjust the shipment;

[0016] Step S7: The output module adjusts the loading information through the scheduling information adjustment module and outputs it to the dispatcher at the loading location through the scheduling communication module.

[0017] According to the above technical solution, in step S2, when planning the loading of goods, the goods are arranged from near to far according to the location of the goods to be transported, and the unloading time t1, t2...t n , total loading time And through the transportation information collection module, the transportation time required for the goods from a loading location to different unloading locations is obtained as T1, T2...T n , the time for the goods to travel from the point of shipment to the i-th loading and unloading location is T = T i +t; the next batch of goods is loaded immediately after loading at the loading location, and the inspection time of the same batch of goods The batch of goods between the loading location and the i-th unloading location Where X ≥ 2, and all times are in minutes.

[0018] According to the above technical solution, in step S3, the cargo batching module obtains the time required for the cargo to arrive at the same unloading location from a total of L loading locations within each cargo batch time period through the transportation information collection module, from the shortest to the longest, A1, A2...A L , and calculate the arrival time difference of two adjacent batches of goods (L-1) ΔA1=A2-A1、ΔA2=A3-A2......ΔA L-1 =A L -A L-1 If the arrival time difference of the cth batch is less than 10 minutes and the arrival time difference of the (c+1)th batch is greater than 10 minutes, the delivery time of the (c+1)th batch of goods will be delayed. minutes, where 1≤c≤L-2.

[0019] According to the above technical solution, in step S4, the unloading time of the cargo at the i-th unloading location is S1, S2, ..., S from shortest to longest. kFinally, the transportation planning module sets the inspection time S of the same batch of goods as a cargo batch time period, obtains the next batch time period in which n1 vehicles of goods are expected to arrive at the unloading location, and the time for the next batch of n1 vehicles of goods to arrive is D1, D2...D respectively from shortest to longest. n1 , the cargo accumulation analysis submodule determines the accumulation degree M generated when subsequent cargo arrives. If S k ≥D1, then it is determined that the subsequent unloading will not be affected, and the accumulation degree of the unloading location is set to M as 0; if D n1 < S1, it is judged that the subsequent unloading will result in complete accumulation, and the accumulation degree M of the point is set to 2; otherwise, it is judged that the subsequent unloading will result in partial accumulation, and the accumulation degree M of the point is set to 1.

[0020] According to the above technical solution, in step S5, the cargo accumulation analysis submodule sequentially obtains the accumulation degree generated when X batches of cargo arrive at the i-th unloading location, and the scheduling analysis submodule calculates the total accumulation degree M of the unloading location when the current loading location arrives at the unloading location. 总 is the algebraic sum of the accumulation of X batches of cargo between the loading location and the i-th unloading location, where M 总 is an integer, if The normal amount of cargo to be loaded at the unloading location; if The place is considered to be vacant. Under normal loading conditions, it is allowed to load more cargo at the unloading place. The limit of the amount of cargo loaded is the space created by canceling transportation at other unloading places. If M 总 > X, it is determined that the accumulation degree of the place needs to be reduced, and the cargo loaded at the place is cancelled. The transportation planning module calculates the total accumulation degree M of the unloading place when the next cargo batch time period passes. 总 Is it lower than X? If it is lower than X, then the cargo quantity of the unloading location is loaded normally. Otherwise, the cargo loading of the location is canceled and the total accumulation degree of the unloading location is continuously monitored after the next cargo batch time period. 总 .

[0021] According to the above technical solution, in step S6, the loading assessment module prioritizes the loading of the stacking degree and If there is still room for loading after unloading, the loading assessment module will assess the real-time storage volume Q of the cargo in the loading warehouse. If Q>(1+λ)Q1, then continue to load M. 总 The cargo at X unloading location has the order of M 总Loading is carried out in order from small to large until the train reaches the load capacity or stops when Q≤(1+λ)Q1, where λ is the maximum stacking rate of warehouse storage and Q1 is the normal storage capacity of the shipping location; if Q≤(1+λ)Q1, loading of goods is stopped and the adjustment plan of the scheduling analysis submodule is output through the output module.

[0022] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention calculates the batches between the loading location and the unloading location through the transportation module, and the cargo batching module makes the cargo from different shipping locations arrive at the unloading location at different times as much as possible; the cargo accumulation analysis submodule analyzes the accumulation degree of cargo at the unloading location, and the scheduling analysis submodule obtains an adjustment plan that is beneficial to reducing the unloading pressure at the unloading location through the accumulation degree of different unloading locations; the loading assessment module maximizes the implementation of the adjustment plan at multiple unloading locations while ensuring the normal storage capacity of the shipping location warehouse, taking into account the cargo problems of the shipping location and the unloading location. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0024] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0026] Please refer to Figure 1 The present invention provides a technical solution: an intelligent transportation scheduling system and method for the rail transportation equipment industry, including:

[0027] Data acquisition module, transportation module, scheduling module and output module. The data acquisition module is used to collect relevant information of railway transportation; the transportation module is used to detect parameter indicators of railway transportation; the scheduling module analyzes the problems caused by the arrival of goods at different unloading locations; the output module is used to transmit planning information to the mobilization personnel at the loading location.

[0028] The present invention calculates the batches between the loading location and the unloading location through the transportation module, and the cargo batching module makes the cargo from different shipping locations arrive at the unloading location at different times as much as possible; the cargo accumulation analysis submodule analyzes the accumulation degree of cargo at the unloading location, and the scheduling analysis submodule obtains an adjustment plan that is beneficial to reducing the unloading pressure at the unloading location through the accumulation degree of different unloading locations; the loading assessment module ensures that the storage capacity of the shipping location warehouse is normal and makes the adjustment plan implemented at the maximum extent possible at the unloading location, taking into account the cargo problems of the shipping location and the unloading location.

[0029] The transportation module includes a unloading information analysis module and a transportation batch detection module. The unloading information analysis module is used to obtain information about the target unloading location; the transportation batch detection module is used to detect cargo batches between the loading location and different unloading locations.

[0030] The scheduling module includes a cargo batching module, a transportation planning module and a loading assessment module. The cargo batching module is used to analyze the cargo batches arriving at the same unloading location; the transportation planning module is used to predict the accumulation of cargo arriving at the unloading location and provide adjustment plans; the loading assessment module is used to confirm the cargo storage situation at the shipping location and determine whether to implement the adjustment plan. The transportation planning module includes a cargo accumulation analysis submodule and a scheduling analysis submodule. The cargo accumulation analysis submodule is used to classify the accumulation of cargo at the unloading location; the scheduling analysis submodule is used to adjust the detention of cargo at different loading and unloading locations.

[0031] The output module includes a dispatching information adjustment module and a dispatching communication module. The dispatching information adjustment module is used to output the cargo adjustment information of railway transportation; the dispatching communication module is used to transmit abnormal transportation and loading and unloading information to the dispatching personnel at the loading location.

[0032] In a preferred embodiment, the intelligent transportation scheduling system mainly includes the following steps:

[0033] Step S1: The data acquisition module obtains the cargo information required to be transported at the loading location on the day, the human resource information at the unloading location, and the time information required to travel from different loading locations to different unloading locations through the loading information collection module;

[0034] Step S2: The staff at the loading location uploads the transport volume and unloading location of the transported goods through the transportation module. The unloading information analysis module analyzes the unloading time required for each unloading location and transmits the unloading information to the staff at the unloading location. The staff uploads the human resource information of the unloading location on that day. If the unloading information analysis module determines that the human resource is sufficient, the transport batch detection module detects the batches of goods between the current loading location and the target unloading location and returns the information to the staff at the loading location. Otherwise, the information of staff shortage at the unloading location is transmitted to the scheduling communication module.

[0035] Step S3: The transportation planning module obtains the unloading status of the goods at the target unloading location within each cargo batch time period, obtains the time from different loading locations to the target unloading location through the cargo batching module, and controls the goods from different loading locations to arrive at the target unloading location at intervals;

[0036] Step S4: The cargo accumulation analysis submodule obtains the accumulation degree of each of the X batches of cargo between the loading location and the unloading location at the unloading location, and predicts the cargo accumulation condition at the unloading location when the cargo from the current loading location arrives at the unloading location, and transmits the prediction information to the scheduling analysis submodule;

[0037] Step S5: The scheduling analysis submodule receives the forecast information from the cargo accumulation analysis submodule, analyzes the forecast situation, and proposes different solutions to adjust the unloading situation at the unloading location according to different situations, and sends an adjustment request to the loading assessment module;

[0038] Step S6: The loading assessment module receives the adjustment request from the scheduling analysis submodule, obtains the accumulation status of the goods at each unloading location, and checks the storage capacity of the goods at the shipping location warehouse to determine whether to adjust the shipment;

[0039] Step S7: The output module adjusts the loading information through the scheduling information adjustment module and outputs it to the dispatcher at the loading location through the scheduling communication module.

[0040] In step S2 of this embodiment, when planning the loading of goods, the goods are arranged from near to far according to the location of the goods to be transported, and the unloading time t1, t2, ..., t n , total loading time And through the transportation information collection module, the transportation time required for the goods from a loading location to different unloading locations is obtained as T1, T2...T n Without considering the waiting time at the unloading location, the time it takes for the cargo to travel from the point of shipment to the i-th loading and unloading location is T = T i +t; If there are sufficient personnel at the loading location, the next batch of goods will be loaded immediately after the loading is completed at the loading location, and the inspection time of the same batch of goods The batch of goods between the loading location and the i-th unloading location Where X ≥ 2, all times are in minutes. The loading time at the loading point and the unloading time at the unloading point are approximately the same.

[0041] In step S3 of this embodiment, the cargo batching module obtains the time required for cargo to arrive at the same unloading location from a total of L loading locations within each cargo batch time period through the transportation information collection module, from the shortest to the longest, A1, A2...A L , and calculate the arrival time difference of two adjacent batches of goods (L-1) ΔA1=A2-A1、ΔA2=A3-A2......ΔA L-1 =A L -A L-1 If the arrival time difference of the cth batch is less than 10 minutes and the arrival time difference of the (c+1)th batch is greater than 10 minutes, the delivery time of the (c+1)th batch of goods will be delayed. minutes, where 1≤c≤L-2.

[0042] The advantage of goods from different routes entering the loading and unloading location at different times during the same period of time is that it can reduce the maximum detention time of the same batch of goods. If a batch of goods that exceeds the current loading and unloading capacity enters the loading and unloading location at the same time, the goods that exceed the loading and unloading capacity will need to wait until the loading and unloading of other goods are completed before loading and unloading can begin. Entering the loading and unloading location in batches can complete the loading and unloading, and the goods that enter later can start loading and unloading earlier. At the same time, it increases the ability to receive subsequent goods, and ensures to the greatest extent that the goods will not enter the same loading and unloading location in a short period of time.

[0043] In step S4 of this embodiment, when the cargo transportation is at its peak, the cargo unloading time at the i-th unloading location requires S1, S2, ..., S3, respectively, from the shortest to the longest. k Finally, the transportation planning module sets the inspection time S of the same batch of goods as a cargo batch time period, obtains the next batch time period in which n1 vehicles of goods are expected to arrive at the unloading location, and the time for the next batch of n1 vehicles of goods to arrive is D1, D2...D respectively from shortest to longest. n1 , the cargo accumulation analysis submodule determines the accumulation degree M generated when subsequent cargo arrives. If S k ≥D1, then it is determined that the subsequent unloading will not be affected, and the accumulation degree of the unloading location is set to M as 0; if D n1 < S1, it is judged that the subsequent unloading will result in complete accumulation, and the accumulation degree M of the point is set to 2; otherwise, it is judged that the subsequent unloading will result in partial accumulation, and the accumulation degree M of the point is set to 1.

[0044] When S k When D1 is greater than or equal to the previous batch of goods, the goods have been unloaded when the next batch of trucks arrives, and the next batch of trucks can start unloading directly. n1 When <S1, the previous batch of goods is still being unloaded after the next batch of trucks arrives. After the next batch of trucks arrives, all the trucks must wait, which will cause unloading backlog; in other cases, after a batch of trucks arrives, some trucks start unloading and some trucks need to wait.

[0045] The cargo accumulation analysis submodule establishes an unloading accumulation model for a single cargo batch time period, classifies the unloading conditions of cargo under different circumstances, and provides a basis for the subsequent shipment accumulation prediction at the loading location.

[0046] In step S5 of this embodiment, the cargo accumulation analysis submodule sequentially obtains the accumulation degree generated when X batches of cargo arrive at the i-th unloading location, and the scheduling analysis submodule calculates the total accumulation degree M of the unloading location when the current loading location arrives at the unloading location. 总 is the algebraic sum of the accumulation of X batches of cargo between the loading location and the i-th unloading location, where M 总 is an integer, if The normal amount of cargo to be loaded at the unloading location; if The place is considered to be vacant. Under normal loading conditions, it is allowed to load more cargo at the unloading place. The limit of the amount of cargo loaded is the space created by canceling transportation at other unloading places. If M 总 > X, it is determined that the accumulation degree of the place needs to be reduced, and the cargo loaded at the place is cancelled. The transportation planning module calculates the total accumulation degree M of the unloading place when the next cargo batch time period passes. 总 Is it lower than X? If it is lower than X, then the cargo quantity of the unloading location is loaded normally. Otherwise, the cargo loading of the location is canceled and the total accumulation degree of the unloading location is continuously monitored after the next cargo batch time period. 总 .

[0047] With X, There are two measurement standards. X is the ideal situation where each unloading location has some accumulation as a reference. In this scenario, most unloading locations will have unloading accumulation, but with the guarantee of manpower at the unloading location, the task can be completed just in time without causing unloading task squeeze. This is an ideal situation where most unloading locations have some accumulation and a few have no accumulation. In this scenario, the staff at the unloading location will not have a lot of idle time.

[0048] exist In the scope, the unloading location is transported at normal unloading intervals, with neither unloading accumulation nor a large amount of idle time; In the scope, the unloading location lacks unloading tasks, which will generate a lot of idle time. This is abnormal during the peak period of cargo transportation. The cargo may be concentrated in a certain period of time in the future, and it is necessary to speed up the delivery to share the subsequent unloading pressure. 总In the category of >X, the unloading task at the unloading location is heavy, and the personnel at the unloading location cannot support long-term high-intensity unloading work. It is necessary to appropriately slow down the delivery frequency in subsequent shipments to reduce the unloading pressure on the unloading personnel at the location.

[0049] In step S6 of this embodiment, the loading assessment module prioritizes the loading of the stacking degree. and

[0050] If there is still loading space after unloading, the loading assessment module will assess the real-time storage volume Q of the cargo in the loading warehouse. If Q>(1+λ)Q1, then continue to load M. 总 >Cargo at X unloading location, loading and unloading order is M 总 Loading is carried out in order from small to large until the train reaches the load capacity or stops when Q≤(1+)Q1, where λ is the maximum stacking rate of warehouse storage and Q1 is the normal storage capacity of the shipping location; if Q≤(1+λ)Q1, loading of goods is stopped and the adjustment plan of the scheduling analysis submodule is output through the output module.

[0051] By analyzing the warehouse storage capacity at the loading location, the adjustment plan of the scheduling analysis sub-module can be executed without affecting the maximum warehouse storage limit, helping to reduce the unloading pressure at the unloading locations with high loading and unloading pressure. However, when the warehouse storage capacity exceeds the maximum value, the goods are sorted and loaded to ensure that as many unloading locations as possible can reduce the unloading pressure.

[0052] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0053] Finally, it should be noted that the above descriptions 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 aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. Intelligent transportation dispatching system for rail transportation equipment industry, characterized by: It includes a data acquisition module, a transportation module, a scheduling module and an output module. The data acquisition module is used to collect relevant information about railway transportation; the transportation module is used to detect parameter indicators of railway transportation; the scheduling module analyzes the problems caused by the arrival of goods at different unloading locations; and the output module is used to transmit planning information to the dispatching personnel at the loading location. The transport module includes a cargo unloading information analysis module and a transport batch detection module. The cargo unloading information analysis module is used to obtain information about the target unloading location; the transport batch detection module is used to detect cargo batches between the loading location and different unloading locations. The scheduling module includes a cargo batching module, a transportation planning module, and a loading assessment module. The cargo batching module is used to analyze cargo batches arriving at the same unloading location; the transportation planning module is used to predict the accumulation of cargo at the unloading location and provide an adjustment plan; the loading assessment module is used to confirm the cargo storage situation at the shipping location and determine whether to implement the adjustment plan. The transportation planning module includes a cargo accumulation analysis submodule and a scheduling analysis submodule. The cargo accumulation analysis submodule is used to classify the accumulation of cargo at the unloading location; and the scheduling analysis submodule is used to adjust the cargo retention situation at different loading and unloading locations. The output module includes a dispatch information adjustment module and a dispatch communication module. The dispatch information adjustment module is used to output the cargo adjustment information of railway transportation; the dispatch communication module is used to transmit abnormal transportation and loading and unloading information to the dispatch personnel at the loading location; The operation method of the intelligent transportation scheduling system mainly includes the following steps: Step S1: The data acquisition module obtains the cargo information required to be transported at the loading location on the day, the human resource information at the unloading location, and the time information required to travel from different loading locations to different unloading locations through the loading information collection module; Step S2: The staff at the loading location uploads the transport volume and unloading location of the transported goods through the transportation module. The unloading information analysis module analyzes the unloading time required for each unloading location and transmits the unloading information to the staff at the unloading location. The staff uploads the human resource information of the unloading location on that day. If the unloading information analysis module determines that the human resource is sufficient, the transport batch detection module detects the batches of goods between the current loading location and the target unloading location and returns the information to the staff at the loading location. Otherwise, the information of staff shortage at the unloading location is transmitted to the scheduling communication module. Step S3: The transportation planning module obtains the unloading status of the goods at the target unloading location within each cargo batch time period, obtains the time from different loading locations to the target unloading location through the cargo batching module, and controls the goods from different loading locations to arrive at the target unloading location at intervals; Step S4: The cargo accumulation analysis submodule obtains the accumulation degree of each of the X batches of cargo between the loading location and the unloading location at the unloading location, and predicts the cargo accumulation condition at the unloading location when the cargo from the current loading location arrives at the unloading location, and transmits the prediction information to the scheduling analysis submodule; Step S5: The scheduling analysis submodule receives the forecast information from the cargo accumulation analysis submodule, analyzes the forecast situation, and proposes different solutions to adjust the unloading situation at the unloading location according to different situations, and sends an adjustment request to the loading assessment module; Step S6: The loading assessment module receives the adjustment request from the scheduling analysis submodule, obtains the accumulation status of the goods at each unloading location, and checks the storage capacity of the goods at the shipping location warehouse to determine whether to adjust the shipment; Step S7: The output module adjusts the loading information through the scheduling information adjustment module and outputs it to the dispatcher at the loading location through the scheduling communication module. In step S2, when planning the loading of cargo, the cargo is arranged from near to far according to the location of the cargo, and the unloading time t1, t2, ..., t n , total loading time And through the transportation information collection module, the transportation time required for the goods from a loading location to different unloading locations is obtained as T1, T2...T n , the time for the goods to travel from the point of shipment to the i-th loading and unloading location is T = T i +t; the next batch of goods is loaded immediately after loading at the loading location, and the inspection time of the same batch of goods The batch of goods between the loading location and the i-th unloading location Where X ≥ 2, all times are in minutes; In step S4, the unloading time of the cargo at the i-th unloading location is S1, S2, ..., S from shortest to longest. k Finally, the transportation planning module sets the inspection time S of the same batch of goods as a cargo batch time period, obtains the next batch time period in which n1 vehicles of goods are expected to arrive at the unloading location, and the time for the next batch of n1 vehicles of goods to arrive is D1, D2...D respectively from shortest to longest. n1 , the cargo accumulation analysis submodule determines the accumulation degree M generated when subsequent cargo arrives. If S k ≥D1, then it is determined that the subsequent unloading will not be affected, and the accumulation degree of the unloading location is set to M as 0; if D n1 < S1, it is judged that the subsequent unloading will result in complete accumulation, and the accumulation degree M of the point is set to 2; otherwise, it is judged that the subsequent unloading will result in partial accumulation, and the accumulation degree M of the point is set to 1.

2. The intelligent transportation dispatching system for the rail transportation equipment industry according to claim 1 is characterized by: In step S5, the cargo accumulation analysis submodule sequentially obtains the accumulation degree generated when X batches of cargo arrive at the i-th unloading location, and the scheduling analysis submodule calculates the total accumulation degree M of the unloading location when the current loading location arrives at the unloading location. 总 is the algebraic sum of the accumulation of X batches of cargo between the loading location and the i-th unloading location, where M 总 is an integer, if The normal amount of cargo to be loaded at the unloading location; if The place is considered to be vacant. Under normal loading conditions, it is allowed to load more cargo at the unloading place. The limit of the amount of cargo loaded is the space created by canceling transportation at other unloading places. If M 总 > X, it is determined that the accumulation degree of the place needs to be reduced, and the cargo loaded at the place is cancelled. The transportation planning module calculates the total accumulation degree M of the unloading place when the next cargo batch time period passes. 总 Is it lower than X? If it is lower than X, then the cargo quantity of the unloading location is loaded normally. Otherwise, the cargo loading of the location is canceled and the total accumulation degree of the unloading location is continuously monitored after the next cargo batch time period. 总 .

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