CN113682352B - Train flow calculation method, device, electronic equipment and storage medium - Google Patents
Train flow calculation method, device, electronic equipment and storage medium Download PDFInfo
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- CN113682352B CN113682352B CN202111037812.XA CN202111037812A CN113682352B CN 113682352 B CN113682352 B CN 113682352B CN 202111037812 A CN202111037812 A CN 202111037812A CN 113682352 B CN113682352 B CN 113682352B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B61B—RAILWAY SYSTEMS; EQUIPMENT THEREFOR NOT OTHERWISE PROVIDED FOR
- B61B1/00—General arrangement of stations, platforms, or sidings; Railway networks; Rail vehicle marshalling systems
- B61B1/005—Rail vehicle marshalling systems; Rail freight terminals
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Abstract
The invention provides a train flow calculation method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system; and performing target traffic estimation of the first target train and/or the second target train in the target marshalling station based on the target dynamic information of the first target train and/or the target dynamic information of the second target train parked in the target marshalling station. According to the invention, the target dynamic information is generated by acquiring the electronic operation unified data in real time, and the acquisition of the electronic operation unified data and the generation of the target dynamic information are unified in one system, so that the generated target dynamic information is ensured to be accurate, and the target traffic flow calculation is accurately executed based on the target dynamic information of the first target train and/or the target dynamic information of the second target train, thereby avoiding the problem of multiple flow leakage in the traffic flow calculation process.
Description
Technical Field
The present invention relates to the field of train freight dispatching technologies, and in particular, to a method and apparatus for calculating train flow, an electronic device, and a storage medium.
Background
The traffic flow estimation is an important condition and effective means for the marshalling station to disassemble and generate the train marshalling, and can predictively adopt an effective marshalling plan only by accurately estimating the traffic capability of future traffic flow such as the passing of a section, locomotive supply and the like, the increase and decrease of passengers, construction arrangement, natural disasters and the like.
In the prior art, traffic flow estimation for marshalling stations is typically based on whole-spot traffic flow data, followed by estimation of available traffic flow after dispatching the train for each train. The existing train is characterized in that the manual checking mode is adopted, the paper mode is used for recording and transmitting the confirmed data, so that the train data before and after the whole point are inconsistent easily, and the whole point data for pushing is inaccurate, so that the problem of leakage flow and multiple flows in the process of calculating the train flow is caused.
Disclosure of Invention
The invention provides a train flow calculating method, a device, electronic equipment and a storage medium, which are used for solving the problem of leakage flow multi-flow in the flow calculating process in the prior art and realizing accurate flow calculation and avoiding leakage flow multi-flow.
In a first aspect, the present invention provides a method for calculating a train flow, the method comprising:
the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system;
performing target traffic estimation of the first target train and/or the second target train within the target consist based on target dynamic information of the first target train and/or target dynamic information of a second target train parked within the target consist;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
Optionally, according to the method for calculating the train flow provided by the invention, the target dynamic information of the train includes: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
Optionally, according to the train flow estimating method provided by the invention, the target dynamic information of the train is determined based on the checking operation of the driver of the train when the train arrives at the history related station.
Optionally, the checking operation includes any one of:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
In a second aspect, the present invention also provides a train flow estimating device, including:
the determining module is used for determining a first target train entering the target marshalling station within three hours based on the target dynamic information of all trains in the system;
the execution module is used for executing target traffic calculation of the first target train and/or the second target train in the target marshalling station based on the target dynamic information of the first target train and/or the target dynamic information of the second target train parked in the target marshalling station;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
Optionally, according to the device for calculating the train flow provided by the invention, the target dynamic information of the train includes: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
Optionally, according to the train flow estimating device provided by the invention, the target dynamic information of the train is determined based on the checking operation of a driver of the train when the train arrives at a history-related station;
the collation operation includes any one of the following:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
In a third aspect, the present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any one of the methods for estimating train flow as described above when executing the program.
In a fourth aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for estimating train flow as described in any of the above.
In a fifth aspect, the present invention also provides a computer program product comprising a computer program which when executed by a processor implements the steps of a method of estimating train flow as described in any of the above.
According to the train flow calculation method, the device, the electronic equipment and the storage medium, the target dynamic information is generated by acquiring the electronic unified data in real time, and the electronic unified data reflects the actual condition of the train when arriving at the station, and the acquisition of the electronic unified data and the generation of the target dynamic information are unified in one system, so that the generated target dynamic information can be guaranteed to be accurate, the system can accurately execute the target flow calculation based on the target dynamic information of the first target train and/or the target dynamic information of the second target train, the problem of leakage flow and multi-flow in the process of calculating the train flow is avoided, the accurate target train flow calculation is further obtained, a grouping plan can be accurately formulated in advance based on the target train flow calculation, and the production efficiency and the accuracy of the grouping station are further improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a train flow calculation method provided by the invention;
FIG. 2 is a schematic diagram of a system congestion model provided by the present invention;
FIG. 3 is a schematic diagram of a train flow estimation device provided by the invention;
fig. 4 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The existing computer integrated consist management system (Computer Integrated ProcessSystem, CIPS) estimates traffic flow at the server side, i.e., 18:00 balance traffic flow at the server side each time of a shift, and available traffic flow after the train is dispatched is estimated for each train afterwards.
In the CIPS system, the whole point traffic flow is obtained according to the train data before and after the whole point, and because the confirmation of the arrival of the train is checked by the manual naked eyes of a driver, the confirmation information is manually modified when the check finds out that the confirmation information is wrong, and the confirmation information is carried in a paper mode, the train data before and after the whole point are inconsistent easily, and further, if the train data at a specific moment is taken as a push basis, the condition of leakage flow or multiple flows can occur.
For example, the train is already scheduled and approved, but the current train is still submerged in the line, so that the current train and the train are inconsistent in data, and a missed train flow can be generated in the process of estimating the train flow; for another example, when a train has already sent a report point, but the current train has not arrived, data of the current train and data of the train are inconsistent, and therefore, multiple train flows may be generated in the process of estimating the train flows.
Corresponding measures are taken in the existing system to continuously adjust the original data and make up errors caused by leakage flow and multiple flows. In this way, accumulated errors are caused, for example, when a traffic flow is miscalculated in a certain shift, the error is brought to the next shift because the original traffic flow section is calculated by rolling, and the errors cannot be eliminated. Thus, the measure of continuously adjusting the original data still cannot solve the problem of leakage or multi-stream.
Fig. 1 is a schematic flow chart of a train flow calculation method provided by the invention, as shown in fig. 1, the method includes:
alternatively, the target marshalling station may be a marshalling station where the system is to make a train flow calculation.
Optionally, the system may acquire electronic unified transport data of the train in real time, where the electronic unified transport data may reflect an actual situation of arrival of the train at the station.
Optionally, the system may generate target dynamic information of all trains based on the electronic operation unified data of all trains, where the target dynamic information may include information such as a train number, a start station, a route station, a terminal station, and a goods name of the train.
Optionally, the target dynamic information may also include the train type, dead weight and load of the train.
Alternatively, the system may determine a first target train entering the target consist within three hours based on the start, consist, and end station information in the target dynamic information.
Therefore, as the target dynamic information of all trains in the system is obtained through the electronic operation unified data, the system can accurately obtain the first target train entering the target marshalling station within three hours in the future based on the target dynamic information of all trains, and the determined first target train can be used for calculating the traffic flow reaching the target marshalling station within three hours in the future in the subsequent step.
102, based on the target dynamic information of the first target train and/or the target dynamic information of a second target train parked in the target marshalling station, performing target traffic calculation of the first target train and/or the second target train in the target marshalling station;
alternatively, the second target train may be a train that has been parked within the target consist at the point in time when the system begins to perform train flow estimation.
Optionally, current train-present data may be obtained according to the target dynamic information of the second target train, future arrival train flows may be calculated according to the target dynamic information of the first target train, a grouping plan may be formulated based on the train numbers, the terminal stations and the cargo names of the first target train and the second target train, and then the current train-present data, the future arrival train flows and the grouping plan may be combined, and the target train flow calculation of the target grouping station may be performed.
Alternatively, the target traffic flow estimate may be a system-estimated traffic flow within three hours of the future.
Alternatively, in the case where the first target train and the second target train exist simultaneously within three hours of the time when the system starts to perform the train flow estimation, the system may perform the target flow estimation of the first target train and the second target train in the target marshalling station based on the target dynamic information of the first target train and the target dynamic information of the second target train, and may accurately make a marshalling plan in advance based on the target flow estimation.
Alternatively, in a case where the first target train does not need to be grouped with the second target train and only the first target train needs to be grouped within three hours of the time at which the system starts to perform the train flow estimation, the system may perform the target flow estimation of the first target train within the target marshalling station based on the target dynamic information of the first target train, and a marshalling plan may be accurately formulated in advance based on the target flow estimation.
Alternatively, in a case where the second target train does not need to be grouped with the first target train and only the second target train needs to be grouped within three hours of the time when the system starts to perform the train flow estimation, the system may perform the target flow estimation of the second target train within the target marshalling station based on the target dynamic information of the second target train, and a marshalling plan may be accurately formulated in advance based on the target flow estimation.
Therefore, the target dynamic information of all trains in the system is obtained through the electronic operation unified data, so that the target dynamic information of the first target train and the target dynamic information of the second target train are accurate, and the system can accurately calculate the traffic flow of the target marshalling station within three hours in the future based on the target dynamic information of the first target train and/or the target dynamic information of the second target train.
Optionally, the system can determine a first target train arriving at the target marshalling station within three hours based on the information of the starting station, the approach station and the end station in the target dynamic information, so that a station dispatcher can grasp the traffic flow arriving at the station in real time, and further, an accurate marshalling plan can be formulated in advance based on the number and the goods name of the target train (including the first target train and the second target train), and further, the marshalling station can execute scheduling operation aiming at the target train in advance based on the marshalling plan, and further, the production efficiency and the accuracy of the marshalling station are improved.
Optionally, the system can determine a first target train entering the target marshalling station within three hours based on the information of the starting station, the approach station and the end station in the target dynamic information, so that the system counts the train numbers of the first target train and/or the second target train based on the train numbers in the target dynamic information, and further checks the traffic adding and subtracting operation of the incoming train based on the statistics when estimating the traffic, thereby ensuring the consistency of the current train and the train data, avoiding the problem of current leakage and multiple currents, and further obtaining accurate target traffic calculation.
According to the train flow calculation method, the electronic operation unified data is obtained in real time to generate the target dynamic information, and the electronic operation unified data reflects the actual condition of the arrival of the train, and the electronic operation unified data and the generation of the target dynamic information are unified in one system to be completed, so that the generated target dynamic information is ensured to be accurate, the system can accurately execute the target flow calculation based on the target dynamic information of the first target train and/or the target dynamic information of the second target train, the problem of multiple flow leakage in the process of calculating the train flow is avoided, the accurate target train flow calculation is further obtained, the grouping plan can be accurately formulated in advance based on the target train flow calculation, and the production efficiency and the accuracy of the marshalling station are further improved.
Optionally, the target dynamic information of the train includes: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
Alternatively, the target dynamic information may include real-time dynamic information, which may be information provided by the history-related station when the train arrives at the history-related station.
Alternatively, the real-time dynamic information may include information of a train number, a start station, a destination station, an end station, and a cargo name.
Alternatively, the history related stations of the train may include stations where the train has arrived among the related stations of the train.
Alternatively, the relevant stations of the train may include a start station, a pass-through station, and an end station of the train.
Optionally, based on the real-time dynamic information of the trains, the station dispatcher can further grasp the train numbers and the goods names of the target trains (including the first target train and the second target train) which arrive at the station in real time, and can make an accurate grouping plan in advance.
Thus, the system may obtain updated target dynamic information of the target train (including the first target train and/or the second target train) based on real-time dynamic information of the train, and may further perform target flow estimation within the target consist based on historical target flow estimation data and updated target dynamic information of the target train. The target dynamic information can be updated in real time, so that the accuracy and consistency of the original data for traffic flow calculation are ensured, the accuracy of target traffic flow calculation is further ensured, and an accurate grouping plan can be formulated in advance.
Optionally, the target dynamic information of the train is determined based on a collation operation of a driver of the train when the train arrives at a history-related station.
It can be understood that after the train arrives at a station, the driver of the train can check the actual information of the train, the system can obtain the unified electronic transportation data based on the checking operation of the driver, and then the target dynamic information of the train can be generated based on the unified electronic transportation data.
It can be understood that, because the unified electronic transportation data corresponds to the actual situation of the arrival of the train, the target dynamic information generated based on the unified electronic transportation data has high credibility, thereby ensuring the accuracy of the original data required by the calculation of the traffic flow and further ensuring the accuracy of the data required by the generation of the marshalling plan.
Optionally, the checking operation includes any one of:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
Alternatively, the dynamic information provided by the history related station may be electronic shipping data of the history related station.
Alternatively, the collation operation of the driver received by the system may be the first determination operation when the dynamic information provided by the history-related station and the real-time dynamic information are the same.
Alternatively, when the dynamic information provided by the history-related station and the real-time dynamic information are not identical, the collation operation of the driver received by the system may be a modification operation and a second determination operation.
Alternatively, the modification operation may be that the system receives a modification of the dynamic information provided by the history-related station by the driver so that the dynamic information provided by the modified history-related station coincides with the actual condition of the train arriving at the station.
It can be understood that after the train arrives at a station, a driver of the train can input a first operation to the system or input a second operation and a modification operation to the system according to the actual condition of the train arriving at the station, so that the unified electronic transportation data can be obtained, and further the target dynamic information of the train can be generated based on the unified electronic transportation data.
It can be understood that, because the unified electronic transportation data corresponds to the actual situation of the arrival of the train, the target dynamic information generated based on the unified electronic transportation data has high credibility, thereby ensuring the accuracy of the original data required by the calculation of the traffic flow and further ensuring the accuracy of the data required by the generation of the marshalling plan.
Fig. 2 is a schematic diagram of a system congestion model provided by the present invention, and as shown in fig. 2, the entity structure of the train flow calculating method of the present invention is a "congestion model". It can be understood that the system adopts a field driving design method, takes the whole process of train flow calculation as a field, designs a 'congestion model' integrating service data and service logic, and constructs an application system of a micro-service architecture based on the field model.
The congestion model of the present invention as shown in fig. 2 includes a marshallford object, a Yard (Yard) object, a Track (Track) object, an arrival Train set (arrtrain set) object, a departure Train set (deptirainet) object, a Train set (Train set) object, a Train (Train) object, a Train (CarSet) object, and a truck (Car) object.
Alternatively, the marshalling yard object may include an estimate that may be set to have a track for each direction/category.
Alternatively, yard objects may include arrival, consist, departure, and exchange types.
Alternatively, the track object may include a track type such as a field, a track name, and a number of cars.
Alternatively, the arrival train collection object may place an estimated arrival train plan.
Alternatively, the departure train aggregate object may place an estimated departure train plan.
Alternatively, the train object may include train attributes such as train number and train arrival.
Alternatively, the train object may include information of a train that is traveling or parked.
Alternatively, the truck object may include basic information and cargo loading information of a truck.
Optionally, the congestion model of the present invention may be divided into two phases when executing the train flow estimation algorithm, the first phase may form the departure flow content and source, and the second phase may form the de-coding order and time.
The following describes a train flow estimating device provided by the present invention, and the train flow estimating device described below and the train flow estimating method described above may be referred to correspondingly to each other.
Fig. 3 is a schematic structural diagram of a train flow estimating device provided by the present invention, as shown in fig. 3, the device includes: a determining module 301 and an executing module 302, wherein:
the determining module 301 is configured to determine, based on target dynamic information of all trains in the system, a first target train entering a target marshalling station within three hours;
the execution module 302 is configured to execute target traffic calculation of the first target train and/or the second target train in the target marshalling station based on target dynamic information of the first target train and/or target dynamic information of the second target train parked in the target marshalling station;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
Optionally, the system can determine a first target train entering the target marshalling station within three hours based on the information of the starting station, the approach station and the end station in the target dynamic information, so that the system counts the train numbers of the first target train and/or the second target train based on the train numbers in the target dynamic information, and further checks the traffic adding and subtracting operation of the incoming train based on the statistics when estimating the traffic, thereby ensuring the consistency of the current train and the train data, avoiding the problem of current leakage and multiple currents, and further obtaining accurate target traffic calculation.
According to the train flow estimating device, the electronic operation unified data is obtained in real time to generate the target dynamic information, and the electronic operation unified data reflects the actual condition of the arrival of the train, and the electronic operation unified data and the generation of the target dynamic information are unified in one system, so that the generated target dynamic information is guaranteed to be accurate, the system can accurately execute the target flow estimation based on the target dynamic information of the first target train and/or the target dynamic information of the second target train, the problem of multiple flow leakage in the process of estimating the train flow is avoided, the accurate target train flow estimation is further obtained, the grouping plan can be accurately formulated in advance based on the target train flow estimation, and the production efficiency and the accuracy of the marshalling station are further improved.
Optionally, the target dynamic information of the train includes: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
Optionally, the target dynamic information of the train is determined based on a collation operation of a driver of the train when the train arrives at a history-related station;
the collation operation includes any one of the following:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
According to the train flow estimating device provided by the invention, the electronic operation unified data is dynamically acquired to generate the target dynamic information, and the electronic operation unified data reflects the actual condition of the arrival of the train, and the acquisition of the electronic operation unified data and the generation of the target dynamic information are unified in one system, so that the generated target dynamic information is ensured to be accurate, the system can accurately execute the target flow estimation based on the target dynamic information of the first target train and/or the target dynamic information of the second target train, the problem of multiple flow leakage in the process of estimating the train flow is avoided, the accurate target train flow estimation is further obtained, the marshalling plan can be accurately formulated in advance based on the target train flow estimation, and the production efficiency and the accuracy of the marshalling station are further improved.
Fig. 4 is a schematic structural diagram of an electronic device according to the present invention, as shown in fig. 4, the electronic device may include: processor 410, communication interface 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other through communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform a train flow estimation method comprising:
the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system;
performing target traffic estimation of the first target train and/or the second target train within the target consist based on target dynamic information of the first target train and/or target dynamic information of a second target train parked within the target consist;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, where the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can execute the train flow estimating method provided by the methods, and the method includes:
the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system;
performing target traffic estimation of the first target train and/or the second target train within the target consist based on target dynamic information of the first target train and/or target dynamic information of a second target train parked within the target consist;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the method for estimating train flow provided by the above methods, the method comprising:
the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system;
performing target traffic estimation of the first target train and/or the second target train within the target consist based on target dynamic information of the first target train and/or target dynamic information of a second target train parked within the target consist;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A train flow estimation method, comprising:
the system determines a first target train entering a target marshalling station within three hours based on target dynamic information of all trains in the system;
performing target traffic estimation of the first target train and/or the second target train within the target consist based on target dynamic information of the first target train and/or target dynamic information of a second target train parked within the target consist;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train;
the target dynamic information of the train comprises: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the target dynamic information of the train is determined based on a collation operation of a driver of the train when the train arrives at a history-related station;
the collation operation includes any one of the following:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
2. The method for estimating a train flow according to claim 1, wherein,
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
3. A train flow estimating device, comprising:
the determining module is used for determining a first target train entering the target marshalling station within three hours based on the target dynamic information of all trains in the system;
the execution module is used for executing target traffic calculation of the first target train and/or the second target train in the target marshalling station based on the target dynamic information of the first target train and/or the target dynamic information of the second target train parked in the target marshalling station;
the target dynamic information of the train comprises the train number, the starting station, the approach station, the terminal station and the goods name of the train;
the target dynamic information of the train comprises: when the train arrives at a history related station of the train, real-time dynamic information is obtained;
the target dynamic information of the train is determined based on a collation operation of a driver of the train when the train arrives at a history-related station;
the collation operation includes any one of the following:
a first determining operation;
a modifying operation and a second determining operation;
wherein, the first determining operation is an operation that when the driver determines that a train arrives at a history related station of the train, dynamic information provided by the history related station is the same as the real-time dynamic information;
the second determining operation is an operation that when the driver determines that the train arrives at a history related station of the train, dynamic information provided by the history related station is different from the real-time dynamic information;
the modifying operation is an operation in which the driver modifies the dynamic information provided by the history-related station into the real-time dynamic information.
4. The train flow estimation device according to claim 3, wherein,
the history-related station of the train includes: in the relevant stations of the train, stations where the train has arrived;
the related stations of the train comprise a start station, a route station and a terminal station of the train.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the train flow estimation method according to claim 1 or 2 when the program is executed.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the train flow estimation method according to claim 1 or 2.
7. A computer program product comprising a computer program which, when executed by a processor, implements the steps of the train flow reckoning method as claimed in claim 1 or 2.
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