CN110949459B - Railway wagon vehicle section shunting operation system - Google Patents
Railway wagon vehicle section shunting operation system Download PDFInfo
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Abstract
The invention relates to a shunting operation system for a railway freight car section, which comprises an operation simulation server, wherein the operation simulation server comprises a marshalling generator, a marshalling classifier, a shunting plan compiler, a car number compensator, a shunting plan optimizer and a shunting plan filter, and recommends shunting plans according to a general intelligent shunting plan recommendation algorithm. The invention can be used universally in different stations through the setting of basic hardware. The compiling and screening of the classified shunting plans are independently carried out aiming at single classified grouping, and finally, the compiling and the screening are combined to form a final complete shunting plan. When the dispatching task changes, the class dispatching plan where the vehicle is located is subjected to re-simulation operation, and other unrelated dispatching plans are unchanged, so that a new complete dispatching plan is output at the highest efficiency. The method can greatly reduce the calculation amount required when generating a new complete shunting plan, change the current situation of 'pulling and moving the whole body' in the scheduling field, and greatly reduce the influence of scheduling task change on scheduling execution work.
Description
Technical Field
The invention relates to the field of railway vehicle maintenance management, in particular to a shunting operation method and a shunting operation system for a railway wagon vehicle section.
Background
The railway vehicle section is one of important units of a railway running system and is mainly responsible for regular maintenance (divided into repair courses such as factory repair and section repair) and operation and maintenance work of train vehicles. At present, there are more than ten kinds of railway trucks in China, including general trucks for loading and transporting common goods such as open trucks, flat cars, boxcars, thermal insulation cars, tank cars and the like, and special trucks for transporting one or more specific goods such as container trucks, long and large goods trucks, drug trucks, livestock trucks, cement trucks, grain trucks, special trucks and the like. Trucks of different vehicle types and repair courses have respective unique repair steps, and the different steps need to be completed in specific places at different geographic positions in a vehicle section, so that vehicle allocation (hereinafter referred to as 'shunting') is a necessary flow for completing production tasks in the section, and the shunting task runs through the beginning and the end of the whole vehicle repair life cycle. The working condition of the shunting task directly influences the production maintenance efficiency of the whole vehicle section, and is also a vehicle section accident high-occurrence link. Therefore, it is necessary to research how to realize safe and efficient shunting in the vehicle section with limited space and fixed station track.
The current practical processing method for shunting in a vehicle section in the field of railway freight cars is that a dispatcher manually collects vehicle position and maintenance task information, then performs shunting simulation in an excel table according to experience to form a shunting plan, and finally prints the shunting plan into a paper file to be delivered to a shunting operator for shunting operation.
This method has the following problems during operation:
firstly, the working method of utilizing excel to maintain information and paper to transmit information leads to modification and rollback of shunting plan very difficult, if the scheduling personnel appear carelessly neglecting in the recording process, the data of difficult recovery anomaly to the paper file backup is loaded down with trivial details, inconvenient looking up.
Secondly, the logic of dispatching plan making is complicated, and the conditions of difficulty of dispatching vehicles, sequence of dispatching, dispatching routes, capacity of turnout tracks and the like need to be fully considered. There is a significant gap in the efficiency of shunting plans made by experienced and novice dispatchers. Excellent dispatchers competent to make dispatch job plans have also become a scarce resource for vehicle segments, requiring long-term training and practice training. And the dispatcher is difficult to avoid errors although the experience is rich, and the shunting plan executed each time has no means for measuring whether the dispatching plan is the optimal scheme.
Third, at present, 18 railway bureau group companies are arranged on the whole road, 28 truck sections are arranged under the railway bureau group companies, the conditions of shunting basic hardware in each vehicle section are different, the experience of an excellent dispatcher which is time-consuming and cultivated for years can only play a role in a single vehicle section, the experience of a cross-unit is invalid for a large part, the waste of resources is caused to a certain extent, and the development of talents in the railway industry is restricted.
And fourthly, the completion of the shunting task requires that a dispatcher and a shunting operator are closely matched in real time, the shunting condition cannot be directly monitored in real time in the current actual operation, the dispatcher and the shunting operator cannot be linked to share information, the condition of inconsistent plan and execution exists, and the shunting efficiency cannot be ensured. Meanwhile, a certain hidden trouble is caused to the safety of the shunting.
Fifthly, when the dispatching task changes (namely the destination of an individual vehicle changes and the like), a dispatcher needs to make a global dispatching plan again, and the dispatching plan is long in time consumption and low in efficiency.
Therefore, a safe, efficient and low-management-cost shunting operation system for the truck section needs to be designed.
Disclosure of Invention
The invention aims to provide a shunting operation system for railway wagon sections to solve the technical problems that the prior art is lack of universality of all the sections and the change of a scheduling plan can cause the whole body to be dragged.
In order to achieve the purpose, the technical scheme adopted by the shunting operation system for the railway wagon section comprises the following steps:
a railway freight car section shunting operation system comprises an operation simulation server for implementing a general intelligent shunting plan recommendation algorithm, wherein the operation simulation server comprises a marshalling generator, a marshalling classifier, a shunting plan compiler, a shunting plan optimizer and a shunting plan filter, and the general intelligent shunting plan recommendation algorithm comprises the following steps: firstly, setting parameters of track capacity, length changing, turnout junction limitation, track partition and shunting machine load in basic hardware; secondly, generating shunting marshalling comprising five parameters of 'car number, current station track, current order, target station track and target order' by a marshalling generator; thirdly, the marshalling classifier receives shunting marshalling information generated by the marshalling generator and classifies the shunting marshalling, and the shunting plan change between classes is not interfered mutually; fourthly, transmitting the classification result of the grouping classifier into a shunting plan compiler, forming a single shunting and grouping plan in the shunting plan compiler, and merging the similar shunting and grouping plans into classified shunting plans according to grouping classification; fifthly, calling a shunting plan optimizer, and respectively merging and optimizing the plans which can be combined and dispatched along the road in various shunting plans to generate an optimized classified shunting plan; and sixthly, respectively carrying out optimization processing on the optimized classified shunting plans by using a shunting plan screener, and screening out the optimal optimized classified shunting plan from all shunting plans capable of realizing requirements for each type and storing the optimal classified shunting plans.
In the second step, the grouping classifier receives the basic hardware parameters set in the first step, determines the condition of the vehicle section and a corresponding grouping classification strategy according to the basic hardware parameters, and applies a conventional grouping classification strategy if the current vehicle section is a small-sized station section which has no partition operation, less than 10 tracks and less than 200 storage vehicles; if the current vehicle section is a large station section without partition operation, the number of tracks is more than or equal to 10 and the number of storage vehicles is more than 200, a relevant grouping classification strategy is applied; if the current vehicle section is a station section with partition operation, a regional grouping classification strategy is applied;
the classification principle of the conventional grouping classification strategy is as follows: according to the principle that the current track and the target track are the same, grouping meeting the conditions is divided into a class;
the classification principle of the relevance grouping classification strategy is as follows: grouping which has direct correlation or indirect correlation is divided into one group, and the grouping which has no correlation with any other grouping is self-grouped into one group, wherein the direct correlation means that the current tracks or the target tracks of a plurality of groupings are the same, the indirect correlation means that the current tracks of the plurality of groupings are different from the target tracks, but the two groupings can form association through one or more transmission connections, and the principle of the transmission connection is that the target track of one grouping is the same as the current track of the other grouping;
the classification principle of the regional grouping classification strategy is as follows: grouping that the current track and the target track are in the same area is divided into a first category, unavoidable trans-area grouping is divided into a picking grouping and a hanging grouping, then the hanging grouping is classified into the current track classification, and the picking grouping is classified into the target track classification.
In the fifth step, the principle of optimizing the shunting plan is as follows: firstly, judging whether two or more shunting plans are continuous shunting closed loops or not, and if so, merging and optimizing the shunting plans; if not, the merging optimization is not carried out; the closed loop of continuous shunting means: the states of the shunting machines before and after the first-stage shunting plan is executed are unchanged, the shunting machines are regarded as a closed loop, and the planning operation sequence with two closed loops is continuous, namely the continuous shunting closed loop.
In the sixth step, for the conventional grouping strategy and the related grouping strategy, the optimal classification shunting plan selection criterion is preferably that the hook number is the minimum, and the optimal classification plan with the minimum load is selected under the same hook number; for the regional grouping strategy, the optimal plan selection standard is the local shunting optimization principle.
The sixth step is followed by the steps of: and recording various index parameters in the calculation process.
The operation simulation server further comprises a car number compensator, and before the fifth step, the operation simulation server further comprises the following steps: and calling a car number compensator to respectively compensate the missing car number information in the classified shunting plan.
And when the missing car number information is supplemented, simulating the actual car shunting condition by adopting a shunting simulation mode to obtain the corresponding car number.
The shunting operation system for the rail wagon vehicle section comprises a vehicle information acquisition module and a shunting management module, wherein the vehicle information acquisition module comprises an AEI server and a plurality of AEI devices, and the AEI devices are arranged at the entrances and exits of each station track to automatically identify and acquire vehicle information in the vehicle section; the shunting management module comprises a shunting management server and the operation simulation server, the AEI server is in signal connection with the shunting management server to transmit the vehicle information to the shunting management server, the shunting management server is used for storing the parking information in the vehicle section and updating the stored parking information according to the vehicle information transmitted by the AEI server in real time, and the shunting management module further comprises an interactive input device electrically connected with the shunting management server; the operation simulation server is electrically connected with the vehicle information acquisition module to receive the acquired vehicle information for basic hardware configuration, and the operation simulation server is electrically connected with the shunting management server to transmit the generated complete shunting plan to the shunting management server.
The shunting operation system for the rail wagon vehicle section comprises a parking data management module, wherein the parking data management module comprises a vehicle information processor, a display and interactive input equipment, the vehicle information processor is in signal connection with the shunting management server to receive parking information stored in the shunting management server and generate a GIS (geographic information system) map according to the vehicle information in the vehicle section in proportion, so that the graphic parking information is realized, the display and the interactive input equipment are electrically connected with the vehicle information processor, the display is used for displaying the graphic parking information, and the interactive input equipment is used for inputting information to simulate actual shunting operation.
The shunting operation system for the rail wagon section comprises a shunting monitoring module, a voice communication module and a mobile handheld shunting operation module, wherein the shunting monitoring module comprises a display screen arranged at a dispatching center, the voice communication module comprises a wireless mobile communication system, the mobile handheld shunting operation module comprises an industrial handset, and information is transmitted between the industrial handsets through the wireless mobile communication system.
The invention has the beneficial effects that: the invention relates to a shunting operation system for a railway freight car section, which comprises an operation simulation server for implementing a general intelligent shunting plan recommendation algorithm, wherein the operation simulation server comprises a marshalling generator, a marshalling classifier, a shunting plan compiler, a car number complementer, a shunting plan optimizer and a shunting plan filter. A marshalling generator generates shunting marshalling; the marshalling classifier classifies the shunting marshalling and ensures that the shunting plan change between classes is not interfered mutually; a shunting plan compiler generates a classified shunting plan; the shunting plan screener is used for respectively carrying out optimization processing on the optimized classified shunting plans, and for each type, the optimal optimized classified shunting plan is screened from all shunting plans capable of meeting requirements and stored. During operation, the basic hardware setting is carried out under the condition of the station section, so that the method can be commonly used in different station sections. The compiling and screening of the classified shunting plans are independently carried out aiming at single classified grouping, and finally, the compiling and the screening are combined to form a final complete shunting plan. When the dispatching task changes, the class dispatching plan where the vehicle is located is subjected to re-simulation operation, and other unrelated dispatching plans are unchanged, so that a new complete dispatching plan is output at the highest efficiency. The method can greatly reduce the calculation amount required when generating a new complete shunting plan, change the current situation of 'pulling and moving the whole body' in the scheduling field, and greatly reduce the influence of scheduling task change on scheduling execution work.
Drawings
FIG. 1 is an architectural view of one embodiment of a railway freight car section shunting operation system of the present invention;
fig. 2 is a technical schematic diagram when an optimal shunting plan is recommended using a general intelligent shunting plan recommendation algorithm.
Detailed Description
The invention will be further explained with reference to the drawings.
The embodiment of the shunting operation system for the rail wagon vehicle section comprises:
the invention relates to a shunting operation system for a railway wagon section, which comprises a vehicle information acquisition module, a shunting management module, a parking data management module, a general intelligent shunting plan recommendation algorithm, a shunting monitoring module, a voice communication module and a mobile handheld shunting operation module.
The vehicle information acquisition module comprises an AEI server and a plurality of AEI devices, wherein the AEI devices are used for automatically identifying vehicle information in a vehicle section and transmitting the information to the AEI server, and the vehicle information comprises a vehicle number, a vehicle type, a length change, a station track and a position.
The shunting management module comprises a shunting management server and an operation simulation server. The operation simulation server can be divided into a marshalling generator, a marshalling classifier, a shunting plan compiler, a car number completer, a shunting plan optimizer and a shunting plan filter according to functions and is used for implementing a general intelligent shunting plan recommendation algorithm to generate an optimal shunting plan. The AEI server is in signal connection with the shunting management server to transmit the vehicle information to the shunting management server, and the shunting management server is used for storing the parking information in the vehicle section and updating the stored parking information according to the vehicle information transmitted by the AEI server in real time. The operation simulation server is also in signal connection with the shunting management server to transmit the generated optimal shunting plan thereto. Meanwhile, the shunting management module also comprises an interactive input device which is electrically connected with the shunting management server, and the module can be used for inputting vehicle information and maintaining the vehicle information for subjective change of individual vehicle attributes. In other embodiments, the shunting management module may not be provided with the interactive input device.
The marshalling generator is used for generating shunting marshalling comprising 'car number, current station track, current cis-position, target station track and target cis-position'. A group represents vehicles which are continuously positioned on the same track, moves to the same track position and has unchanged relative position sequence, namely a whole is regarded as a vehicle group.
The group classifier is electrically connected with the group generator and is used for receiving shunting group information generated by the group classifier, judging the conditions of the vehicle sections and selecting different classification methods to classify the shunting groups according to different conditions of the vehicle sections.
The shunting plan compiler is electrically connected with the marshalling classifier and used for receiving classification information of shunting marshalling and performing pick-up scheduling on each type of shunting marshalling according to classification to generate a classification shunting plan.
The car number compensator is electrically connected with the shunting plan compiler and can be invoked by the shunting plan compiler and respectively compensate the missing car number information in the classification shunting plan for each classification shunting plan according to the classification information.
The shunting plan optimizer is electrically connected with the shunting plan compiler and can be invoked by the shunting plan compiler to combine and optimize each type of classified shunting plan according to the classification information so as to generate an optimized classified shunting plan.
The shunting plan screening device is electrically connected with the shunting plan compiler and the marshalling classifier and is used for receiving the vehicle section conditions judged by the marshalling classifier and judging and selecting a corresponding preference principle according to the vehicle section conditions so as to screen an optimal plan from the optimal classified shunting plans.
The parking data management module comprises a vehicle information processor, a display and interactive input equipment, wherein the vehicle information processor is in signal connection with the shunting management server to receive the parking information stored in the shunting management server and generate a GIS (geographic information System) map according to the proportion of the vehicle information in the vehicle section, so that the parking information is graphical. The processing principle of the vehicle information processor is as follows: each vehicle is placed in the vehicle storage track with the vehicle number as the unique index. The display and the interactive input equipment are electrically connected with the vehicle information processor, the display is used for displaying the graphical parking information, and the interactive input equipment is used for inputting information to simulate actual shunting operation. The calling dynamic state of the vehicle is monitored in real time on the display, the vehicle state in the whole vehicle section is displayed on one screen, the complexity of wiring a camera is avoided, and the safety operation level is improved.
The shunting monitoring module is arranged in a dispatching center and comprises a display screen used for live-broadcasting shunting execution dynamic state, so that a dispatcher of the dispatching center can find and process problems in time.
The voice communication module comprises a wireless mobile communication system, and the mobile handheld shunting operation module comprises an industrial handset and an industrial handset. When emergency such as severe weather occurs, the system voice communication module can synchronously early warn industrial handsets of field personnel at the first time through the wireless mobile communication system, and automatically broadcast and remind. The emergency commander can be matched with a vehicle dynamic large screen (a display screen in the shunting monitoring module) to remotely command the emergency in real time, and real-time attention and protection are provided for the safety of each step of movement in shunting execution.
In a more preferred embodiment, one said AEI device is installed at each track entrance, and each time a vehicle moves across the track, the AEI device will be triggered to generate new vehicle position and ride information. At the moment, the latest parking condition of each station track is automatically updated in the parking data management module.
The whole shunting process is introduced as follows:
after receiving a shunting demand, a dispatcher directly clicks and selects a vehicle to be moved in a visual parking GIS picture displayed on a display through interactive input equipment, and places the vehicle at a final position to be reached in a dragging mode. After the operation, the vehicle information processor automatically identifies the vehicle number, the current station track, the current position, the target station track and the target position of the vehicle to be moved, so that the service requirement can be converted into an identifiable instruction, and a subsequent shunting plan is generated according to the instruction triggering.
And after the shunting management server receives the instruction, the operation simulation server starts a general intelligent shunting plan recommendation algorithm to automatically pop up a recommended optimal complete shunting plan, and a dispatcher broadcasts and issues a shunting execution instruction to a shunting operator through a wireless data link after confirming the optimal complete shunting plan.
The finally recommended complete optimal shunting plan is formed by superposing and combining various shunting plans, and the optimal shunting plan is stored in the shunting management server. The dispatcher can consult, retreat and modify plans in the shunting management module in real time, when a scheduling task changes (namely, the destination of an individual vehicle changes and the like), the class shunting plan of the vehicle carries out re-simulation operation, and other unrelated dispatching plans are not changed, so that a new complete shunting plan is output at the highest efficiency. The shunting monitoring module controls the picture playing content of the large screen of the dispatching center, and the shunting execution dynamic state is live broadcast in real time. By utilizing the 4G network in the vehicle section, the on-site shunting execution condition updated by a shunting operator on a handset is wirelessly transmitted to a dispatcher (or an emergency commander) of a dispatching center, so that live broadcast monitoring is realized, problems are timely found, and the problems are handled.
The whole operation process of the general intelligent shunting plan recommendation algorithm is completed in the operation simulation server, and the method specifically comprises the following steps:
the first step, setting basic hardware parameters, wherein the parameters comprise: track capacity, length change, turnout limits (maximum traffic volume), track zoning, and shunting machine load.
In the step, parameter setting is carried out in a one-key matching mode of an external configuration file, so that the flexibility and the accuracy of the algorithm are ensured; the turnout junction is limited by one-to-one track arrangement, and the maximum amount of unidirectional traffic is marked in detail when a single track is dispatched to a specific target track. For example, the limitation of the turnout is 4 from the 1-2 turnout, that is, the maximum traffic volume that can be passed by the turnout at a time is 4, and the grouping exceeding the maximum traffic volume should be split and scheduled.
And secondly, transmitting the five parameters of the vehicle number, the current station track, the current order, the target station track and the target order, which are formed according to the shunting requirement, into a grouping generator to generate shunting grouping.
And thirdly, calling a marshalling classifier to classify the shunting marshalling.
In this step, it is necessary to match the corresponding policies according to different layouts (i.e. the basic hardware parameters in the first step) and management rules within the vehicle section.
According to different situations of the vehicle sections, three corresponding strategies are provided, namely a conventional grouping classification strategy, a correlation grouping classification strategy and a regional grouping classification strategy. Corresponding to different grouping classification strategies, there are different classification methods, which are respectively as follows:
1) conventional consist classification strategies are applicable to small segments where there are no zoning jobs, fewer than 10 tracks, and less than 200 storage vehicles. The corresponding classification principle is as follows: and according to the principle that the current track and the target track are the same, grouping meeting the conditions is divided into a class.
2) The relevance grouping classification strategy is suitable for large-scale station sections without partition operation, with 10 or more tracks and more storage vehicles than 200. The corresponding classification principle is as follows: according to the principle of direct correlation or indirect correlation, the groups with direct correlation or indirect correlation are divided into one group, and the groups without correlation with any other groups are divided into one group.
Where directly related means that the current track or the target track of the plurality of consists is the same. Indirect association means that the current track and the target track of a plurality of groups are different, but an association can be formed between the two groups through one or more transmission connections. The principle of transfer connection is that the target track of one group is the same as the current track of the other group, and the tracks conforming to the principle can form indirect correlation through the transfer connection.
The principle of the transfer connection is described as follows:
there are currently 5 consists of
Grouping 1: a current track 1 and a target track 2;
grouping 2: a current track 2 and a target track 3;
grouping 3: a current track 3, a target track 7;
grouping 4: a current track 4, a target track 5;
grouping 5: current track 5, target track 6.
And (4) classification results: [ { consist 1, consist 2, consist 3}, { consist 4, consist 5} ], i.e. consist 1,2,3 are one type and consist 4,5 are one type. Although consist 1 is not directly related to consist 3 but is directly related to consist 2, so that the indirect connection between consists 1 and 3 is classified into a group, and the movement of consist 1 has an influence on the operation of consist 3. The movement of the groups 4,5 does not affect the groups 1,2,3, and is therefore classified into two categories.
3) The regional grouping classification strategy applies to segments where partition jobs exist. Because different subareas are far away from each other, and the time consumption of the cross-area operation is too long, the cross-area operation should avoid frequent cross-area of the shunting machine, and the corresponding classification principle is as follows: grouping that the current track and the target track are in the same area is divided into a first category, unavoidable trans-area grouping is divided into a picking grouping and a hanging grouping, then the hanging grouping is classified into the current track classification, and the picking grouping is classified into the target track classification.
And fourthly, transmitting the classification result of the marshalling classifier into a shunting plan compiler, respectively carrying out pick-up scheduling on each type of marshalling in the shunting plan compiler, and calling a train number compensator and a shunting plan optimizer to calculate all types of shunting plans capable of meeting the requirements.
The pick-up scheduling refers to pick-up operation for moving a single marshalling to a target position, and is the minimum unit in the shunting process.
The number of the shunting hooks of a single shunting marshalling is 2,3 and 5 because the railway tracks are fixed and the switching tracks can only be switched from the crossing and can not be directly switched like the automobile. In the case of a plurality of shunting consists, the relationship between the number N of shunting consists and the number G of hooks is: 2N < ═ G < ═ 5N. The shunting plan compiler forms a single shunting and grouping plan according to the sequenced shunting and grouping in the shunting and grouping classification, and merges the similar shunting and grouping plans into classified shunting plans according to the grouping classification.
And fifthly, calling a car number compensator to respectively compensate the missing car number information in the classified shunting plan.
In this step, the concrete car number completion method is as follows: and simulating the actual shunting condition by adopting a shunting simulation mode to acquire the corresponding car number.
In the actual operation, a plurality of vehicles are picked up and hung at one time, only the information of the frontmost vehicle or the information of the rearmost vehicle is recorded in one picking up and hanging operation, and the information of the rest vehicles is lost. In order to complete the vehicle information, any vehicle can be conveniently found in real time, and the vehicle number needs to be completed. It is to be understood that the completion of the car number is independent of the degree of priority of the final recommended shunting plan, and in other embodiments, the car number completer and the corresponding car number completion operations may be omitted altogether.
And sixthly, calling a shunting plan optimizer, and respectively merging and optimizing the plans which can be combined and dispatched along the road in various shunting plans to generate an optimized classified shunting plan.
The principles for optimizing the shunting plan are as follows: firstly, judging whether two or more shunting plans are continuous shunting closed loops or not, and if so, merging and optimizing the shunting plans; if not, the merging optimization is not carried out.
The closed loop of continuous shunting means: the states of the shunting machines before and after the first shunting plan is executed are unchanged (namely, the number and the serial number of the vehicles behind the shunting machines for shunting the vehicles are kept unchanged before and after the first shunting plan is executed), the first shunting plan is regarded as a closed loop, and the planning operation sequence with two closed loops is continuous, namely the continuous shunting closed loop. Symbols to: the number of the operations is the same as that of the previous operation but is not limited, and the operation is an indefinite number of operations.
The continuous shunting closed loop has the following two conditions:
the first condition is as follows: closed loop, same single trailer track.
Shunting plan section 1: pick-up and pick-up, shunting plan section 2: hanging picking.
The trailer track of the shunting plan section 1 is the same as the trailer track of the shunting plan section 2, and the merging optimization can be realized as follows: shunting plan section: hanging, picking and picking;
case two: and (4) continuously shunting closed loops, and obtaining the same single picking station track.
Planning segment 1: hanging-picking, planning segment 2: hanging and picking.
The picking station tracks of the plan section 1 and the plan section 2 are the same, and the merging optimization can be as follows: planning segment: hanging and hanging-picking.
And seventhly, respectively carrying out preferential treatment on the optimized classified shunting plans by using a shunting plan filter. And aiming at each type, screening out the optimal optimized classified shunting plan from all shunting plans capable of realizing requirements and storing the optimal classified shunting plans. For a conventional grouping strategy and a related grouping strategy, the optimal plan selection standard is preferably that the hook number is the minimum, and an optimal classification plan with the minimum load is selected under the same hook number; for the regional grouping strategy, the optimal plan selection standard is the local shunting optimal principle instead of the hook number minimum principle.
And step eight, recording all index parameters in the calculation process in a monitoring log.
Wherein monitoring the logging parameters comprises: the number of all possible shunting schemes, the minimum hook number, the maximum load, the minimum load, the optimal hook number, the shunting order number, the maximum grouping number of the grouping classification and the running time generated in the calculation process. The recorded effects were: the system analyzes the monitoring log at regular time and checks to improve the performance of the algorithm. It is understood that, in other embodiments, the recording operation in the eighth step may not be performed.
The definitions of terms used in this application are as follows:
picking: and (4) a vehicle picking operation, namely picking the vehicle from the shunting machine, namely placing the vehicle on a station track.
Hanging: and (4) operating the trailer to hang the vehicle on the shunting machine, namely indicating that the vehicle leaves the storage station track.
The number of hooks: one order of picking up or towing the vehicle in shunting operation is one hook, and the number of picking up and hanging up operations is the number of hooks.
Loading: in the shunting process, the quantity of vehicles to be dispatched is accumulated by each hook, and the shunting plan is better when the load is lower under the condition of the same hook number.
It can be understood that the general intelligent shunting plan recommendation algorithm is the core content of the application, and the current situation of 'pulling and moving the whole body' in the dispatching field can be changed by using the general intelligent shunting plan recommendation algorithm. The system comprises a vehicle information acquisition module, a parking data management module, a shunting monitoring module, a voice communication module, a mobile handheld shunting operation module, or a shunting plan making device, or a shunting process making device more visual and controllable.
In other embodiments, other classification strategies may be used, as long as the shunting consists can be divided into a plurality of classes that do not interfere with each other when the shunting plan changes; when the classification strategy is changed, the selection standard of the corresponding optimal optimization classification shunting plan also needs to be flexibly changed along with the change.
Finally, the description is as follows: the above embodiments are only for illustrating the technical solutions of the present invention and are not limited, and other modifications or equivalent substitutions made by the technical solutions of the present invention by the ordinary skilled person in the art are included in the scope of the claims of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (9)
1. The utility model provides a railway freight car section shunting operation system which characterized in that: the general intelligent shunting plan recommendation algorithm comprises an operation simulation server for implementing the general intelligent shunting plan recommendation algorithm, wherein the operation simulation server comprises a grouping generator, a grouping classifier, a shunting plan compiler, a shunting plan optimizer and a shunting plan filter, and the general intelligent shunting plan recommendation algorithm comprises the following steps: firstly, setting parameters of track capacity, length changing, turnout junction limitation, track partition and shunting machine load in basic hardware; secondly, generating shunting marshalling comprising five parameters of 'car number, current station track, current order, target station track and target order' by a marshalling generator; thirdly, the marshalling classifier receives shunting marshalling information generated by the marshalling generator and classifies the shunting marshalling, and the shunting plan change between classes is not interfered mutually; fourthly, transmitting the classification result of the grouping classifier into a shunting plan compiler, forming a single shunting and grouping plan in the shunting plan compiler, and merging the similar shunting and grouping plans into classified shunting plans according to grouping classification; fifthly, calling a shunting plan optimizer, and respectively merging and optimizing the plans which can be combined and dispatched along the road in various shunting plans to generate an optimized classified shunting plan; sixthly, respectively carrying out optimization processing on the optimized classified shunting plans by using a shunting plan screener, and screening out the optimal optimized classified shunting plan from all shunting plans capable of realizing requirements for each type and storing the optimal classified shunting plans;
in the second step, the grouping classifier receives the basic hardware parameters set in the first step, determines the condition of the vehicle section and a corresponding grouping classification strategy according to the basic hardware parameters, and applies a conventional grouping classification strategy if the current vehicle section is a small-sized station section which has no partition operation, less than 10 tracks and less than 200 storage vehicles; if the current vehicle section is a large station section without partition operation, the number of tracks is more than or equal to 10 and the number of storage vehicles is more than 200, a relevant grouping classification strategy is applied; if the current vehicle section is a station section with partition operation, a regional grouping classification strategy is applied;
the classification principle of the conventional grouping classification strategy is as follows: according to the principle that the current track and the target track are the same, grouping meeting the conditions is divided into a class;
the classification principle of the relevance grouping classification strategy is as follows: grouping which has direct correlation or indirect correlation is divided into one group, and the grouping which has no correlation with any other grouping is self-grouped into one group, wherein the direct correlation means that the current tracks or the target tracks of a plurality of groupings are the same, the indirect correlation means that the current tracks of the plurality of groupings are different from the target tracks, but the two groupings can form association through one or more transmission connections, and the principle of the transmission connection is that the target track of one grouping is the same as the current track of the other grouping;
the classification principle of the regional grouping classification strategy is as follows: grouping that the current track and the target track are in the same area is divided into a first category, unavoidable trans-area grouping is divided into a picking grouping and a hanging grouping, then the hanging grouping is classified into the current track classification, and the picking grouping is classified into the target track classification.
2. The railway wagon section shunting operation system of claim 1, wherein: in the fifth step, the principle of optimizing the shunting plan is as follows: firstly, judging whether two or more shunting plans are continuous shunting closed loops or not, and if so, merging and optimizing the shunting plans; if not, the merging optimization is not carried out; the closed loop of continuous shunting means: the states of the shunting machines before and after the first-stage shunting plan is executed are unchanged, the shunting machines are regarded as a closed loop, and the planning operation sequence with two closed loops is continuous, namely the continuous shunting closed loop.
3. The railway wagon section shunting operation system of claim 1, wherein: in the sixth step, for the conventional grouping strategy and the related grouping strategy, the optimal classification shunting plan selection criterion is preferably that the hook number is the minimum, and the optimal classification plan with the minimum load is selected under the same hook number; for the regional grouping strategy, the optimal plan selection standard is the local shunting optimization principle.
4. The railway wagon section shunting operation system of claim 1, wherein: the sixth step is followed by the steps of: and recording various index parameters in the calculation process.
5. The railway wagon section shunting operation system of claim 1, wherein: the operation simulation server further comprises a car number compensator, and before the fifth step, the operation simulation server further comprises the following steps: and calling a car number compensator to respectively compensate the missing car number information in the classified shunting plan.
6. The railway wagon car section shunting operation system of claim 5, wherein: and when the missing car number information is supplemented, simulating the actual car shunting condition by adopting a shunting simulation mode to obtain the corresponding car number.
7. A railway wagon section shunting service system as claimed in any one of claims 1 to 6, wherein: the shunting operation system for the rail wagon vehicle section comprises a vehicle information acquisition module and a shunting management module, wherein the vehicle information acquisition module comprises an AEI server and a plurality of AEI devices, and the AEI devices are arranged at the entrances and exits of each station track to automatically identify and acquire vehicle information in the vehicle section; the shunting management module comprises a shunting management server and the operation simulation server, the AEI server is in signal connection with the shunting management server to transmit the vehicle information to the shunting management server, the shunting management server is used for storing the parking information in the vehicle section and updating the stored parking information according to the vehicle information transmitted by the AEI server in real time, and the shunting management module further comprises an interactive input device electrically connected with the shunting management server; the operation simulation server is electrically connected with the vehicle information acquisition module to receive the acquired vehicle information for basic hardware configuration, and the operation simulation server is electrically connected with the shunting management server to transmit the generated complete shunting plan to the shunting management server.
8. A railway wagon section shunting service system as claimed in any one of claims 1 to 6, wherein: the shunting operation system for the rail wagon vehicle section comprises a parking data management module, wherein the parking data management module comprises a vehicle information processor, a display and interactive input equipment, the vehicle information processor is in signal connection with the shunting management server to receive parking information stored in the shunting management server and generate a GIS (geographic information system) map according to the vehicle information in the vehicle section in proportion, so that the graphic parking information is realized, the display and the interactive input equipment are electrically connected with the vehicle information processor, the display is used for displaying the graphic parking information, and the interactive input equipment is used for inputting information to simulate actual shunting operation.
9. A railway wagon section shunting service system as claimed in any one of claims 1 to 6, wherein: the shunting operation system for the rail wagon section comprises a shunting monitoring module, a voice communication module and a mobile handheld shunting operation module, wherein the shunting monitoring module comprises a display screen arranged at a dispatching center, the voice communication module comprises a wireless mobile communication system, the mobile handheld shunting operation module comprises an industrial handset, and information is transmitted between the industrial handsets through the wireless mobile communication system.
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| CN112046556B (en) * | 2020-09-22 | 2022-02-22 | 大连交通大学 | Bidirectional synchronization system for planning contents of present-car and shunting operation in graphical scene |
| CN112572549B (en) * | 2020-12-22 | 2022-07-15 | 卡斯柯信号有限公司 | Method for automatically handling shunting route |
| CN113256177B (en) * | 2021-07-06 | 2021-10-12 | 北京全路通信信号研究设计院集团有限公司 | Existing vehicle distribution calculation method and system |
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