CN114987585A - Petri modeling method based on real scene emergency disposal flow analysis - Google Patents
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Abstract
The invention provides a Petri modeling method based on real scene emergency disposal flow analysis, which comprises the following steps: the first step is flow design, and the second step is: modeling initialization, a third step of constructing a Petri network model, and a fourth step of: attribute values are defined. The invention utilizes the computer modeling technology to reproduce the real production environment of the railway, utilizes the Petri network modeling technology to carry out data model simulation on the scene, and can flexibly change the road network structure of different station types and dispatching centers.
Description
Technical Field
The invention belongs to the technical field of calculation models, and particularly relates to a modeling method based on a real scene, an obtained model and application of the model.
Background
With the vigorous development of the Chinese railway industry, the line network is more complex, the minimum running interval of the train is shorter and shorter, the operation standard and the dispatching requirement of railway transportation dispatching commanders are correspondingly higher and higher, and the emergency handling process of accidents is more and more complex.
In order to cultivate new railway transportation dispatching commanders, promote the occupational literacy of railway transportation dispatching commanders, increase relevant emergency treatment operation experience, emergency scene is dealt with the flow and is indispensable. The emergency disposal process is based on railway simulation, a data model is established, typical emergency scenes and emergency accidents in railway transportation are reproduced, and relevant emergency disposal operations are carried out according to railway technology management rules.
Due to the complexity and the particularity of the railway environment, the emergency scene flow cannot be set on a real road network, so that software modeling and architecture based on a real scene are indispensable. In the early stages of railway transportation industry and computer development, railway related emergency treatment experience is realized through modes of language communication, text recording and the like. With the development and the improvement of computer technology, a related computer software system is used for simulation in the follow-up process, but the functions are relatively simple and cannot cover all the scenes which are already handled.
The emergency scene flow mode comprises 1, language or text transmission. The emergency treatment experience transfer is carried out face to face through language or character communication by means of the way that teachers and parents carry brothers. The repeated experience transmission is carried out in a one-to-one or one-to-many mode to form the human memory. 2. Off-track computer test question drilling. According to the method, a set of question bank preset in advance is used for answering the carved questions according to the test questions, and theoretical guidance and assessment are performed on railway dispatching transportation. 3. Simple interlocking standard station, accident drilling treatment. And a set of simple interlocking computer simulation program based on the standard station is set up, the process disposal is carried out on simple accidents and emergency scenes, and the process disposal result is recorded to realize the assessment. 4. An emergency scene disposal scheme is also described in a thesis "high-speed railway emergency drilling disposal flow and evaluation system optimization research" (5 months in 2018, Sunpeng, China railway science research institute). By analyzing the problems of the existing emergency drilling evaluation system of the high-speed rail in China, a set of evaluation system suitable for the actual field drilling is formed by optimizing the aspects of evaluation content, evaluation method, evaluation standard, evaluation result, evaluation means and the like; the practice is carried out on the proposed drilling treatment process and evaluation system on the basis of the drilling scene of 'fire of the motor train unit on the viaduct and passenger evacuation organization'.
In the emergency scene flow mode, 1, because the mode of language or character transmission is limited in that the popularization range is low, the emergency scene flow mode cannot be popularized in a large range at one time; the personnel requirement is high, the time consumption is long, and the efficiency is low; the current situation of the accident when the emergency scene happens can not be intuitively sensed, and the visual scene recognition of the accident is not realized. 2. The computer test question drill is separated from the railway environment, only focuses on theoretical knowledge examination, neglects accident emergency treatment operation, has training limitation, and can only be applied to professional knowledge examination. 3. The simple accident drilling disposal mode of the interlocking standard station has various types of station equipment and inconsistent line structures. The standard station does not have the characteristics of all stations and has no special operation flow compatible with all stations. And neglect dispatch center operations and lack coordination between multiple posts. The scheme of the high-speed railway emergency drilling disposal flow and the evaluation system optimization research is lack of flexibility corresponding to the emergency scene disposal flow, the scenes are compiled in advance, and the emergency scene disposal flow cannot be flexibly modified according to different dispatching places or different station special procedures. The flow execution is in a single dotted line mode, which is not beneficial to scene change and parameter modification.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a Petri modeling method based on real scene emergency disposal process analysis. The real scene-based emergency disposal flow analysis and Petri modeling scheme disclosed by the invention can highly reproduce real railway transportation production environment, comprises various railway transportation emergency disposal scenes and operation flows, and is suitable for various complex railway networks.
The second purpose of the invention is to provide a model obtained by the Petri modeling method.
A third object of the invention is to propose the use of said model.
The technical scheme for realizing the above purpose of the invention is as follows:
a Petri modeling method based on real scene emergency disposal flow analysis comprises the following steps:
first step, flow design
Designing a flow according to the emergency disposal flow of each road bureau;
when an interval red light band appears, the emergency disposal process comprises the steps of firstly, starting to find a fault, secondly, firstly disposing, thirdly, notifying, fourthly, adjusting a plan, fifthly, processing the fault, sixthly, recovering the fault, and seventhly, filling and reporting safety supervision;
the second step is that: model initialization
Determining the corresponding relation between each link in the emergency disposal process and a random Petri network model, determining the input and output relations of the main element type, attribute, event and state of the constructed model, abstracting an abnormal operation process into the Petri network model, and in the Petri network model:
a place (place) is scheduling operation information in the emergency disposal flow;
transition (transition) representing the process of conversion from one library to another, embodying a dynamic decision process;
a directional arc (arc) indicating the direction of transition;
thirdly, constructing a Petri network model
Establishing a Petri network model of a disposal flow according to the relation among an emergency disposal flow, an emergency response and rescue flow and a later disposal flow of an abnormal scene and the overall characteristics of emergency disposal;
the fourth step: defining attribute values
And (3) performing attribute definition on each element of the constructed Petri network model, and determining the number of the Token in the library and the condition of transition excitation in each flow (the Token refers to a resource in the library and reflects the local state of the system.
In the second step, the abnormal operation process can be abnormal vehicle receiving and dispatching, equipment failure and the like; the scheduling operation information of the place (place) comprises information such as an operation node number, an operation time record, operation content, score details and the like. The operation content information is divided into two types, namely system operation and training personnel operation, when a certain work type is set as a training object by the system, the operation related to the work type in the work flow network is operated by the training personnel, and other operations are automatically driven and triggered by the system.
And in the fourth step, attribute definition is carried out on each element of the built Petri network model, namely the meaning of each library and transition in the Petri network model is explained.
Wherein the second and first treatments comprise car-locking and/or blocking operations;
thirdly, notifying, including notifying a duty master and/or notifying a station;
and sixthly, fault recovery comprises one or more of cancellation, issuing of an opening command, unsealing operation, cancellation of train control speed limit, plan adjustment and operation recovery.
Further, the content of the emergency disposal process is atomized to form the atomic information of the libraries of the Petri network model, and the operation node number, the operation time record, the operation content and the score details are set for the operation information of each library.
Wherein, the content of the transition comprises the occurrence of abnormal condition, the execution of emergency treatment, the recovery of driving, the execution of command, the adjustment of plan and the marking.
Furthermore, in the fourth step, the first step,
the contents are the library found with a fault, and the value is (0,1), where 1 indicates the occurrence of a fault and 0 indicates no occurrence of a fault.
The content is a library which is notified by the assistant/master dispatcher, the value range is (0,1), 0 represents the master tone notification assistant tone, and 1 represents the assistant tone notification master tone.
The content is the first disposal, including the bank place of the car-locking P3 and/or the blocking operation P3, and the value range V p3 ＝(C 31 ,C 32 ),(C 31 ,C 32 ) In a train station, a train is in a section
The content is withholdingDepot of train, value range V p4 ＝(C 41 ,C 42 )
(C 41 ,C 42 ) Processing when an access is triggered, processing when an access is not triggered }
The content is a notified depot and the value range V p5 ＝(C 51 ,C 52 ,C 53 ……C 5i ) I is the number of workers, electric services and station operators on duty;
the content is a library of the adjustment plan, and the value range V p6 ＝(C 61 ,C 62 ,……C 6j ) Wherein j represents the number of adjusted operation parameters, and the adjustment of the operation diagram comprises the overall offset of the operation diagram, a technical stop point and a non-technical stop point, and the passing of the operation diagram is reversed and reversed;
the content is a registered library, which is set as a registered operation system 46 and represents the time required by the online processing of each work type according to the emergency disposal setting rule, and the library is set in advance;
the content is a library place for train control speed limit, the dimension is 1, and a kilometer post closely related to a speed limit place is represented;
the content is a database which issues a blocking command, and the value range V p10 ＝(C 101 ,C 102 ,……C 10m ) Where m represents the number of blocked ranges and their times;
the content is a library marked by a paved and drawn operation diagram, and the value range V p11 ＝(C 111 ,C 112 ,……C 10n ) Where n denotes the set interval range requiring crawl, C 111 Denotes the interval from station A to station B, C 112 Representing the interval from the B station to the C station, and so on; and a library of drawn interval blocking markers.
The content is 1-5 libraries with fault recovery, and the value range V p1N ＝(C 1N1 ,C 1N2 ,……C 1NN ) Wherein N is 1-5, and the N and 1-3 other libraries form a precondition;
representing that the content is 1-2 libraries of emergency disposal flows which are operated in the opposite direction of the bidirectional interval and have no fault processed in time by the electric service;
there are 8-12 emergency disposal processes for driving in opposite directions, each of which is formed by K-dimensional vectors.
The reverse transition of the directed arc represents illegal operation, and may directly cause failure of the assessment process or cause failure of the failure.
Wherein the transition is a concurrent execution, or triggered operation,
the model obtained by the Petri modeling method is disclosed by the invention.
The invention also provides application of the model for personnel training, wherein each library of the model is used as an examination point.
Wherein the examination points include the following classifications: 1) a contact notification class; 2) a primary dispatcher station operation class; 3) an assistant dispatcher operation class; 4) scheduling command assessment class.
The invention has the beneficial effects that:
the invention utilizes the computer modeling technology to reproduce the real production environment of the railway, utilizes the Petri network modeling technology to carry out data model simulation on the scene, and can flexibly change the road network structure of different station types and dispatching centers.
The computer models a real scene, visual scene response scene restoration is effectively provided, and the cognition of dispatching transport personnel on an accident scene is improved. The adaptability of various stations and dispatching centers ensures that the scheme is suitable for all railway transportation networks, and each station or dispatching center can be flexibly adapted according to respective special regulations, thereby reducing secondary development. The Petri network data modeling provides technical support for complexity and flexibility of emergency scene disposal process.
The information loss generated in the single-memory language or character communication process is reasonably reduced, and the physical and visual image memory is enhanced. The wide area network deployment mode of the computer can reduce labor cost, space cost and time cost.
Drawings
Fig. 1 is a flow chart of real scenario based emergency handling.
Fig. 2 is a Petri net model diagram of an emergency disposal process.
Fig. 3 is a flow chart constructed based on a real station scene.
Fig. 4 is a Petri net modeling-turnout based on a station emergency handling process.
FIG. 5 is a flow chart of a real production environment based on a dispatch center.
Fig. 6 is a Petri net modeling-interval section fault based on a dispatch center emergency handling flow.
Detailed Description
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Unless otherwise specified, all technical means used in the specification are technical means known in the art. All the raw materials are commercially available.
Example 1
A Petri modeling method based on real scene emergency disposal flow analysis comprises the following steps:
first step, flow design (see FIG. 1)
Designing a flow according to the emergency disposal flow of each road bureau;
when an interval red light band appears, the emergency disposal process comprises the steps of firstly, beginning to find faults, secondly, firstly disposing, thirdly, notifying, fourthly, adjusting a plan, fifthly, processing the faults, sixthly, recovering the faults, and seventhly, filling and reporting safety supervision;
the second step: model initialization
Determining the corresponding relation between each link in the emergency disposal process and a stochastic Petri network model, determining the input and output relations of the types and attributes of main elements, events and states of the constructed model, abstracting an abnormal operation process into the Petri network model, and in the Petri network model: in this embodiment, the abnormal operation flow is abnormal vehicle receiving and dispatching; the scheduling operation information of the place includes information such as an operation node number, an operation time record, operation content, score details, and the like. The operation content information is consistent with data environment modeling based on a real scene, and the introduced dispatching vehicle affair integrated platform is communicated and divided into system operation and training personnel operation, namely when a certain work type is set by the system as a training object, the operation related to the work type in the operation process network is operated by the training personnel, and other operations are automatically driven and triggered by the system.
A place (place) is scheduling operation information in the emergency disposal flow;
transition (transition) representing the process of conversion from one library to another, embodying a dynamic decision process;
a directional arc (arc) indicating the direction of transition;
thirdly, constructing a Petri network model
Establishing a Petri network model of a disposal flow according to the relation among an emergency disposal flow, an emergency response and rescue flow and a later disposal flow of an abnormal scene and the overall characteristics of emergency disposal;
the fourth step: defining attribute values
And performing attribute definition on each element of the constructed Petri network model, and determining the number of the tokens in the library in each flow and the condition of transition excitation. See the following table for a description of the meaning of the pools and transitions in the Petri Net model.
Table 1 emergency treatment process flow network model library illustration
Further, the content of the emergency disposal process is atomized to form the atomic information of the libraries of the Petri network model, and the operation node number, the operation time record, the operation content and the score details are set for the operation information of each library.
Wherein, the content of the transition comprises the occurrence of abnormal condition, the execution of emergency treatment, the recovery of driving, the execution of command, the adjustment of plan and the marking. The contents of transition (transition) in this embodiment are shown in the following table.
TABLE 2 Emergency disposal Process network model base transition Specification
The early warning model is shown in fig. 2, and according to the scheduling emergency flow description and the Petri network correlation theory, the emergency command mark is used as the initial state of the model, and the dynamic operation of the model and the new coloring mark of each library are described by combining the transition triggering rule.
In the fourth step:
the content is a depot P2 notified by the assistant/master dispatcher, the value range is (0,1), 0 indicates the master tone notification assistant tone, and 1 indicates the assistant tone notification master tone.
P3 is in the range of V p3 ＝(C 31 ,C 32 ),(C 31 ,C 32 ) The term "train in section" means the processing of a train that has entered a section, i.e., the deduction of a plurality of trains in a section, wherein
(C32，。。C 3N ) A { "XX drivers, XX equipment failure, appropriate spot stop" }. P4 is in the range of V p4 ＝(C 41 ,C 42 ) This indicates that the train which does not enter the section is processed. (C) 41 ,C 42 ) Treat when the route has been triggered, treat when the route has not been triggered }. P5 is in the range of V p5 ＝(C 51 ,C 52 ,C 53 …), to notify workers, electrical services, station attendants, etc. P6 is in the range of V p6 ＝(C 61 ,C 62 ,……C 6j ) And wherein the adjustment of the running map comprises a global shift of the running map, a technical stop point, a non-technical stop point, a pass-through-rewind and a pass-through-rewind, and the like. P7, registered with the management system 46, representing the time required for the online processing of each job type according to the emergency disposal setting rules, the depotTypically set in advance. P9 represents the train-controlled speed limit with dimension 1, representing a kilometer post closely associated with the speed limit location. P8 denotes a speed limit scheduling command. V p8 ＝(C 81 ,C 82 ,……C 8N ) The speed limit scheduling is represented as a dynamic decision process, and the speed limit command is executed on the train which is in the fault interval or is about to enter the fault interval. P10 denotes the block scheduling command, V p10 ＝(C 101 ,C 102 …), whose dimensions are the blocking range and its time. P11 is denoted as interval slow flag and makes a strong association with P13. P15, P16, P17, P18, and P19 represent processing V at the time of failure recovery p 15， p16,p17,p18,p19 ＝(C 1N1 ,C 1N2 ,……C 1NN ) And constitutes a precondition with P14, P15. P23 represents an emergency disposal process in which the electric service does not process the fault in time and the bidirectional interval runs in the opposite direction. P24, P25, P26, P27, P28, P29, P30, P31 and P32 represent emergency treatment processes of reverse-direction driving, wherein each process is formed by an N-dimensional vector.
The reverse transition of the directed arc represents illegal operation, which may directly cause failure of the examination process or cause failure of the examination process.
In this embodiment, the operation of the user is atomized, and each library is used as a check point. See tables 3-6 for details.
1) Contact notification class
TABLE 3 Joint control type assessment
2) Class of master dispatcher
TABLE 4 Main dispatcher station checkpoints
3) Class of assistant dispatcher
TABLE 5 assistant dispatcher station checkpoints
4) Scheduling order assessment class
TABLE 6 scheduling Command checkpoints
The realization of model transition and the dynamic operation condition of the system are as follows: when the emergency time occurs, t2 and t3 are executed concurrently, namely, when the dispatcher receives fault feedback, the train is detained and released to the section at the first time, t4 shows that the two are in a concurrent relationship and shows that the dispatcher timely informs equipment units to process, and t5 shows the expected processing time of the equipment units, which is set in advance here and directly influences the processing of P7-P11. The transition model t8 is directly related to the fault of P1. t7, t8, t9, t10 and t11 are executed in parallel, and represent a running chart adjustment, a text speed limit, a section chronic flag, a section blocking flag and the like. t13 indicates that t7-t11 is a concurrency relationship. P14 shows fault recovery, at this time, fault recovery operation of t15-t18 is triggered, the fault recovery operation needs to inform the train whose preamble is stopped to continue running, the related speed limit is cancelled, and the interval is unlocked. P23 indicates that if the fault is not timely recovered, the traffic is organized without the fault being recovered. And jumping to t23, t24, t25, t26 and t27 operations, canceling corresponding station exit signals, drawing reverse operation lines, changing directions, and the like. When the train runs in the reverse direction, the fault is recovered, the operations of t28, t29, t30 and t31 are triggered, and the abnormal running operation of the preamble is recovered.
The model of this embodiment is applied to training personnel, and each library of the model serves as a check point.
Example 2:
the embodiment establishes the Petri network model based on the flow of the real station scene. Referring to fig. 3, according to the real production environment of the station, simulation data modeling is performed on the interlocking upper computer, the interlocking lower computer, the vehicle service terminal, the communication extension, the autonomous machine, the train number tracking and the annunciator terminal, a real production environment page, functions and operations are highly restored, and the environment and data basis required by the station emergency scene disposal process are provided.
And (3) modeling-turnout based on a Petri network of station emergency disposal process, and see figure 4.
The model contents are set in the same manner as in example 1. The model of the embodiment can be used for personnel training, and each library of the model is used as a check point.
Example 3:
the embodiment builds the Petri network model based on the flow of the real scene of the scheduling center. Referring to fig. 5, according to the real production environment of the dispatching center, simulation data modeling is performed on the traveling dispatching desk, the dispatching command desk, the communication server, the assistant dispatching desk, the assistant dispatching command desk, the application server, the display terminal, the disaster prevention terminal and the ATO display terminal, so that a real production environment page, functions and operations are highly restored, and the environment and data basis required by the emergency scene disposal process of the dispatching center are provided.
Modeling of the Petri network based on the dispatching center emergency handling process-section fault, and the figure is 6.
The model contents are set in the same manner as in example 1. The model of the embodiment can be used for personnel training, and each library of the model is used as a check point.
Although the present invention has been described in the foregoing by way of examples, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A Petri modeling method based on real scene emergency disposal flow analysis is characterized by comprising the following steps:
first step, flow design
Designing a flow according to the emergency disposal flow of each road bureau;
when an interval red light band appears, the emergency disposal process comprises the steps of firstly, beginning to find faults, secondly, firstly disposing, thirdly, notifying, fourthly, adjusting a plan, fifthly, processing the faults, sixthly, recovering the faults, and seventhly, filling and reporting safety supervision;
the second step is that: model initialization
Determining the corresponding relation between each link in the emergency disposal process and a stochastic Petri network model, determining the input and output relations of the types and attributes of main elements, events and states of the constructed model, abstracting an abnormal operation process into the Petri network model, and in the Petri network model:
the library is scheduling operation information in the emergency disposal flow;
transition, which represents the conversion process from one library to another library and embodies a dynamic decision process;
the directional arc represents the direction of transition;
thirdly, constructing a Petri network model
Establishing a Petri network model of a disposal flow according to the relation among an emergency disposal flow, an emergency response and rescue flow, a post disposal flow and the overall characteristics of emergency disposal of an abnormal scene;
the fourth step: defining attribute values
And performing attribute definition on each element of the constructed Petri network model, and determining the number of the tokens in the library in each flow and the condition of transition excitation.
2. The Petri modeling method as recited in claim 1, wherein the second, first treatments include a car-holding and/or containment operation;
informing, including informing a duty master and/or informing a station;
fifthly, fault processing comprises one or more of registering, distributing speed limit commands, setting column control speed limit, issuing blocking commands, drawing running chart marks and adjusting plans;
and sixthly, fault recovery comprises one or more of cancellation, issuing of an opening command, unsealing operation, cancellation of train control speed limit, plan adjustment and operation recovery.
3. The Petri modeling method according to claim 2, wherein the content of the emergency disposal process is atomized to form atomic information of libraries of the Petri network model, and an operation node number, an operation time record, operation content and score details are set for operation information of each library.
4. The Petri modeling method according to claim 1, wherein the content of the transition comprises occurrence of an abnormal condition, execution of emergency treatment, recovery of driving, execution of command, adjustment of plan, and marking.
5. The Petri modeling method according to claim 2, wherein in the fourth step,
the content is the library found with faults, and the value is (0,1), wherein 1 represents the occurrence of faults, and 0 represents the absence of faults;
the content is a library which is notified by the assistant/master dispatcher, the value range is (0,1), 0 represents the master tone notification assistant tone, and 1 represents the assistant tone notification master tone;
the content is the first disposal, including the bank place of the car-locking and/or blocking operation, the value range V p3 ＝(C 31 ,C 32 ),(C 31 ,C 32 ) In a train station, a train is in a section
The content is a depot of a detained train, and the value range V p4 ＝(C 41 ,C 42 )
(C 41 ,C 42 ) Processing when an access is triggered, processing when an access is not triggered }
The content is a notified depot and the value range V p5 ＝(C 51 ,C 52 ,C 53 ……C 5i ) I is the number of workers, electric services and station operators on duty;
the content is a library of the adjustment plan, and the value range V p6 ＝(C 61 ,C 62 ,……C 6j ) Where j denotes the number of operating parameters to be adjusted, the adjustment of the operating diagram including the adjustment of the operating diagramBody offset, technical stop, non-technical stop, passing by back-off and back-off;
the content is a registered base, which is set as a registration operation system 46 and represents the time required by the online processing of each work type according to the emergency disposal setting rule, and the base is set in advance;
the content is a storehouse P9 for train control speed limit, the dimension is 1, and the kilometer post closely related to the speed limit place is represented;
the content is a library which issues a blocking command, and the value range V is p10 ＝(C 101 ,C 102 ,……C 10m ) Where m represents the number of blocked ranges and their times;
the content is a library for drawing a running chart mark, and the value range V p11 ＝(C 111 ,C 112 ,……C 10n ) Wherein n represents a set interval range requiring slow line, C 111 Denotes the interval from station A to station B, C 112 Representing the interval from the B station to the C station, and so on; generating strong association with the library for drawing the interval blocking mark;
the content is 1-5 libraries with fault recovery, and the value range V p1N ＝(C 1N1 ,C 1N2 ,……C 1NN ) N is 1-5, and the N and the other 1-3 banks form a precondition;
the content is 1-2 libraries of emergency disposal processes which run in the opposite direction in the bidirectional interval when the electric service fails to process the fault in time;
there are 8-12 emergency disposal processes for driving in opposite directions, each of which is formed by K-dimensional vectors.
6. The Petri modeling method according to claim 1, wherein a reverse transition of the directed arc represents an illegal operation.
7. The Petri modeling method according to claim 1, wherein the transition is a concurrent execution or a triggered operation,
8. a model obtained by the Petri modeling method of any one of claims 1 to 7.
9. Use of the model according to claim 8 for training of persons, each library of said model being used as a point of examination.
10. Use of the model of claim 9, wherein said reference points comprise the following classifications: 1) a contact notification class; 2) a primary dispatcher station operation class; 3) an assistant dispatcher operating class; 4) scheduling command assessment class.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210658107.XA CN114987585A (en) | 2022-06-10 | 2022-06-10 | Petri modeling method based on real scene emergency disposal flow analysis |
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