Scheduling command safety risk identification method and device for hidden danger investigation, electronic equipment and medium

Abstract

The invention provides a scheduling command safety risk identification method and device for hidden danger investigation, electronic equipment and a medium, and the method comprises the steps: constructing a railway road network topological structure, taking stations as nodes, and representing an inter-station interval through a connection line between the nodes; the method comprises the following steps: constructing a train operation space-time network G = (N, A) based on a railway road network topological structure; wherein N is a space-time node and represents the state of the train at one station at one time point; a is a space-time arc section and represents the operation process of the train in the inter-station interval; and obtaining train configuration information, obtaining operation data corresponding to each risk identification type in the train operation process based on the train operation space-time network, calling a risk identification model corresponding to each risk identification type to analyze the train configuration information and / or the operation data, and identifying whether there is a scheduling command safety risk. According to the invention, the scheduling command safety risk can be evaluated in time, and safety accidents are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of train management, and in particular to a dispatching command safety risk identification method, device, electronic equipment and medium for hidden danger detection. Background Art

[0002] The operation of trains is related to the safety of transported people or goods. Therefore, the operation of trains must be monitored in real time. The train plan for the whole day is the arrangement of the operation process of all trains. In the train plan, the operation restrictions of trains are relatively fixed, and it is impossible to reasonably consider and avoid the real-time conditions encountered during the operation of trains. Therefore, it is impossible to evaluate and judge the safety risks of the operation process of trains from multiple aspects, and it is difficult to avoid the occurrence of safety accidents to a great extent. Summary of the invention

[0003] In view of the problems existing in the prior art, the present invention provides a dispatching command safety risk identification method, device, electronic equipment and medium for hidden danger detection.

[0004] The present invention provides a dispatching command safety risk identification method for hidden danger detection, comprising: Construct the railway network topology structure, with stations as nodes and the lines between nodes representing the intervals between stations; Based on the railway network topology, a train operation space-time network G=(N, A) is constructed; wherein N is a space-time node, representing the state of a train at a station at a time point; A is a space-time arc segment, representing the operation process of a train in an interval between stations; Acquire train configuration information, and based on the train operation time-space network, obtain operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or the operation data to identify whether there is a dispatching and command safety risk.

[0005] The present invention also provides a dispatching command safety risk identification device for hidden danger detection, comprising: The first construction module is used to construct the railway network topology structure, with stations as nodes and the lines between nodes representing the intervals between stations; The second construction module is used to construct a train operation space-time network G=(N, A) based on the railway network topology structure; wherein N is a space-time node, representing the state of a train at a station at a time point; A is a space-time arc segment, representing the operation process of a train in an interval between stations; The identification module is used to obtain train configuration information, and based on the train operation space-time network, obtain the operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or the operation data to identify whether there is a dispatching and command safety risk.

[0006] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements any one of the above-mentioned dispatching and commanding safety risk identification methods for hidden danger detection.

[0007] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for identifying safety risks in dispatching and commanding for troubleshooting is implemented as described above.

[0008] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned dispatching and command safety risk identification methods for hidden danger detection.

[0009] The present invention provides a dispatching and commanding safety risk identification method, device, electronic equipment and medium for hidden danger investigation. Based on the railway network topology structure, a train operation time-space network is constructed, and then based on the train operation time-space network, operation data corresponding to each risk identification type during the train operation is obtained, and the risk identification model corresponding to each risk identification type is called to analyze the process data and train configuration data, so as to timely identify the safety risks of train operation, EMU operation and crew operation in the dispatching and command process to avoid safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0011] Figure 1 It is a flow chart of the dispatching command safety risk identification method for hidden danger detection provided by the present invention.

[0012] Figure 2 It is a schematic diagram of the train operation space-time network provided by the present invention.

[0013] Figure 3 It is a structural schematic diagram of a dispatching and commanding safety risk identification device for hidden danger detection provided by the present invention.

[0014] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Combine the following Figure 1-Figure 4 The present invention describes the dispatching command safety risk identification method, device, electronic equipment and medium for hidden danger detection.

[0017] Figure 1 A schematic diagram of a method for identifying safety risks in a dispatching command for troubleshooting provided by the present invention is shown. Figure 1 , the method comprises the following steps: Step 11: Construct a railway network topology structure, with stations as nodes and lines between nodes representing intervals between stations.

[0018] Step 12: Based on the railway network topology, construct a train operation space-time network G=(N, A); wherein N is a space-time node, representing the state of a train at a station at a point in time; and A is a space-time arc segment, representing the operation process of a train in the interval between stations.

[0019] Step 13: Obtain train configuration information, and based on the train operation space-time network, obtain the operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or operation data to identify whether there is a dispatching and command safety risk.

[0020] Regarding steps 11 to 13, it should be noted that the train operation plan is an arrangement of the space-time resources occupied by the train, and stipulates the space-time process of the train operation. The train operation process is described by constructing a space-time network.

[0021] The railway network topology is constructed by taking stations as nodes and using lines between points to represent the intervals between stations. Based on this network topology, the train operation space-time network G=(N, A) is constructed, where N is a space-time node, indicating that the train is at a certain station at a certain time, and A is a space-time arc segment, indicating the space-time process of train operation. Definition is the time when train f arrives at station i, , Gather for the train, , Assemble for the station; is the time when train f leaves station i. represents the interval between stations i and j, and in the direction of train operation, station j is the station ahead of station i. EC.

[0022] like Figure 2 A schematic diagram showing the time-space network of train operations. Figure 2 , the operation process of the train can be reflected in the figure, that is, based on the train operation space-time network, the operation data of the train operation process is obtained. The operation data can be data related to various aspects of the train operation process, such as the train station arrival and departure time. Based on the train station arrival and departure time, the interval operation time, interval interval time, interval crossing order, station operation time, station arrival and departure line occupancy, interval section, interval speed limit, EMU connection time, and crew rest time can be calculated in the model. In addition, it also includes train configuration data, such as train length, EMU model, EMU passenger capacity, EMU running kilometers, crew duty time and crew responsible route. These data are used as risk identification type information for troubleshooting hidden dangers in the present invention. It should be noted that both operation data and train configuration data can be regarded as data under the dispatching command of the train, so these data can be used in the identification process of dispatching and commanding safety risks for hidden danger troubleshooting to identify whether there are risks in trains or EMUs.

[0023] In the present invention, different risk identification type information requires different risk identification models to analyze, so as to obtain the risk results of the train based on the corresponding type information. In the present invention, based on the train operation plan, the entire plan can be divided into multiple operation stages, such as the speed limit of the train in the section, the operation of the station, the crew replacement, etc. are all different operation stages. Therefore, whether the train is at risk can be identified at any stage.

[0024] In a further method of the invention,

[0025] The risk identification type includes the risk identification of train station interval operation. The operation data corresponding to the risk identification type of train station interval operation is obtained, including the arrival and departure time of the train station. Accordingly, the risk identification model corresponding to the risk identification type of train station interval operation is called to analyze the operation data to identify whether there is a dispatching and command safety risk, including: The train station arrival and departure times are input into the first risk identification model, and the first risk identification model outputs the risk result of the train running in the corresponding section; wherein the first risk identification model includes: , F,

[0026] Where f represents the train, is a set of trains, i, j represent stations, S , represents an interval, SEC is an interval set, is the time when train f arrives at station j, is the time when train f leaves station i, Indicates that train f is in the interval The model represents the difference between the arrival time of train f at the preceding station j and the departure time at station i, i.e., the running time of train f in the interval (i, j) , which is less than the minimum running time of train f in the interval (i, j) , then train f is in the interval There are safety risks in operation; The train station arrival and departure times are input into the second risk identification model, and the second risk identification model outputs the risk result of the train running in the corresponding section; wherein the second risk identification model includes: , F, ,

[0027] in, Indicates train and In the interval The minimum interval time between trains. and The time interval between arrivals at the preceding station j , or train and The time interval between departures at station i , smaller than the train and In the interval Minimum interval between runs , then the train and In the interval The interval presents a safety risk; For trains Arrival time at station j, For trains The time of arrival at station j; For trains The moment you leave station i, For trains The moment of leaving station i; The interval crossing sequence is input into the third risk identification model, and the third risk identification model outputs the risk result of the train running in the corresponding interval; wherein the third risk identification model includes: , F, ,

[0028] The model indicates that if the train and The arrival order at the next station j is similar to the train and The departure order at station i is inconsistent, then the train and In the interval There is a safety risk of crossing the line.

[0029] The risk identification type includes train station operation risk identification. The operation data corresponding to the station operation risk identification type is obtained, including the train station arrival and departure time, and the train configuration information including the train length. Accordingly, the risk identification model corresponding to the train station operation risk identification type is called to analyze the operation data and train configuration information to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the fourth risk identification model, and the fourth risk identification model outputs the risk results on the train station operation; wherein the fourth risk identification model includes: , F,

[0030] in, represents the minimum operating time of train f at station i, and the model represents the departure time of train f at station i and arrival time The difference , that is, the train station operation time, is less than the minimum operation time of the train f at station i , then there is a safety risk for train f to operate at station i; The train station arrival and departure times are input into the fifth risk identification model, and the fifth risk identification model outputs the risk results on the train station arrival and departure line occupancy; wherein the fifth risk identification model includes: , ,

[0031] in, represents the capacity of station i, that is, the number of arrival and departure tracks at station i, Indicates train Is it in Arrived at the station before i ,when hour, ,otherwise, 0; Indicates train Is it in Leave the station before arrival i ,when hour, ,otherwise, =0; the model indicates that if the train The number of trains that arrived at station i before With in the train The number of trains that left station i before arriving The difference between When the train arrives at station i, the number of existing trains in the station is greater than the number of arrival and departure tracks at the station minus 1, that is, the train If the arrival and departure track needs to be occupied, there is a safety risk when train f occupies the track at station i; If the number of trains at the station at the same time exceeds the number of arrival and departure tracks at the station, there is a safety risk for train f to occupy the track at station i; The train length is input into the sixth risk identification model, and the sixth risk identification model outputs the risk result on the train station operation; wherein the sixth risk identification model includes: , F,

[0032] Among them, r represents the starting line, , To gather at the departure line, represents the effective length to the hairline r, represents the length of the train f, and the model represents the length of the train Greater than platform length , there is a security risk.

[0033] Risk identification types include line blockade and speed limit risk identification. The operation data corresponding to the line blockade and speed limit risk identification types are obtained, including the train station arrival and departure time. Accordingly, the risk identification model corresponding to the line blockade and speed limit risk identification types is called to analyze the operation data to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the seventh risk identification model, and the seventh risk identification model outputs the risk results of the train in the corresponding line blockade section; wherein the seventh risk identification model includes: ,

[0034] in, and Respectively indicate blocking The start and end time of , Indicates blocking The set of stations involved, the model indicates that if train f enters the blocked area within the blocked time range, that is , then there is a safety risk in the operation of train f.

[0035] The train station arrival and departure times are input into the eighth risk identification model, and the eighth risk identification model outputs the risk results of the train in the corresponding line speed limit section; wherein the eighth risk identification model includes: , F, ,

[0036] in, Represents the mileage of interval (i, j). Indicates the speed limit of the interval (i, j); It indicates the minimum running time of the interval that needs to be met according to the interval speed limit regulations. The model indicates the running time of train f in the speed limit interval Less than the minimum running time , then there is a safety risk in the operation of train f.

[0037] The risk identification type includes EMU operation risk identification. The operation data corresponding to the EMU operation risk identification type are obtained, including the train station arrival and departure time, and the train configuration data including the EMU model, EMU passenger capacity and EMU mileage. Accordingly, the risk identification model corresponding to the EMU operation risk identification type is called to analyze the operation data and train configuration data to identify whether there is a dispatching and command safety risk, including: The train station arrival and departure times are input into the ninth risk identification model, which outputs the risk results of the EMU connection operation; wherein, the ninth risk identification model includes: , , , , ,

[0038] Among them, emu means EMU, EMU means EMU set, emu EMU, cro means train connection, cro= , indicating train Continue , CRO represents the train connection set, cro CRO, Indicates that the train will be connected by an EMU. It indicates the shortest connection time for EMU to execute train connection cro. Indicates train The terminal station, Indicates train The starting station of the model indicates that the train connection time Less than the shortest connection time of the EMU train , there are security risks; The EMU model is input into the tenth risk identification model, and the tenth risk identification model outputs the risk result on the EMU model matching; wherein the tenth risk identification model includes: ,

[0039] in, Indicates train f Model, Indicates on line q The train running on Indicates line q The set of train models allowed to run. The model indicates that the current model does not meet the line's requirements for train models and there is a safety risk. The passenger capacity of the EMU is input into the eleventh risk identification model, and the eleventh risk identification model outputs the risk results on the train capacity; wherein, the eleventh risk identification model includes: ,

[0040] in, Indicates a train operated by an EMU. Indicates train The capacity of the EMU, i.e. the passenger capacity of the EMU, Indicates train f The passenger demand of the train should be met by the passenger demand. The model shows that when the train capacity is less than the passenger demand, there is a safety risk. The EMU mileage is input into the twelfth risk identification model, and the twelfth risk identification model outputs the risk results based on the EMU mileage; wherein the twelfth risk identification model includes: ,

[0041] in, It indicates the mileage of train f operated by EMU. It represents the maintenance mileage standard of EMU, n represents different levels of maintenance, and the model shows that there is a safety risk when the mileage of EMU exceeds the maintenance mileage regulations of different levels.

[0042] The risk identification type includes crew operation risk identification. The operation data corresponding to the crew operation risk identification type are obtained, including the train station arrival and departure time, and the train configuration data including the crew duty time and the crew responsible route. Accordingly, the risk identification model corresponding to the crew operation risk identification type is called to analyze the operation data and train configuration data to identify whether there is a dispatching and command safety risk, including: The crew duty time is input into the thirteenth risk identification model, and the thirteenth risk identification model outputs the risk result based on the crew duty time; wherein the thirteenth risk identification model includes: ,

[0043] Among them, cre represents crew, CRE is the crew set, , Indicates the train that is on duty by the crew. It indicates the time for crew member cre to take train f. It represents the maximum value of the crew cre multiplied by time. The model shows that the crew Value multiplied by total time When the maximum riding time is exceeded, there is a safety risk; The train station arrival and departure times are input into the fourteenth risk identification model, and the fourteenth risk identification model outputs the risk results of crew rest time; wherein, the fourteenth risk identification model includes: , , , , ,

[0044] in, Indicates that the train on duty by the crew is connected. The shortest rest time for the crew cre to take the train to continue cro is represented by the model. The train connection time Less than the shortest rest time of the crew member cre for the train , there are security risks; The crew responsibility route is input into the fifteenth risk identification model, and the fifteenth risk identification model outputs the risk result on the crew responsibility route; wherein the fifteenth risk identification model includes: ,

[0045] in, It represents the route multiplied by the crew value. represents the set of intersections that the crew cre can multiply. The model indicates that if the intersection of the crew group cre multiplies If the route does not belong to the set of routes that the crew can take, there is a safety risk.

[0046] The method for identifying safety risks in dispatching and commanding for troubleshooting provided by the present invention constructs a train operation time-space network based on the railway network topology structure, and then obtains operation data corresponding to each risk identification type during the train operation based on the train operation time-space network, and calls the risk identification model corresponding to each risk identification type to analyze the process data and train configuration data, so as to timely identify the safety risks of train operation, EMU operation, and crew operation in the dispatching and commanding process to avoid safety accidents.

[0047] The following is a description of the dispatching and commanding safety risk identification device for hidden danger detection provided by the present invention. The dispatching and commanding safety risk identification device for hidden danger detection described below and the dispatching and commanding safety risk identification method for hidden danger detection described above can be referenced to each other.

[0048] Figure 3 A schematic diagram of the structure of a dispatching command safety risk identification device for hidden danger detection provided by the present invention is shown. Figure 3 The device comprises a first building module 31, a second building module 32 and an identification module 33, wherein: The first construction module is used to construct the railway network topology structure, with stations as nodes and the lines between nodes representing the intervals between stations; The second construction module is used to construct a train operation space-time network G=(N, A) based on the railway network topology; N is a space-time node, representing the state of a train at a station at a time point; A is a space-time arc segment, representing the operation process of the train in the interval between stations; The identification module is used to obtain train configuration information, and based on the train operation space-time network, obtain the operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or operation data to identify whether there is a dispatching and command safety risk.

[0049] Since the principle of the device of the embodiment of the present invention is the same as that of the method of the above embodiment, a more detailed explanation is omitted here.

[0050] It should be noted that, in the embodiments of the present invention, relevant functional modules may be implemented by a hardware processor.

[0051] The dispatching and commanding safety risk identification device for hidden danger investigation provided by the present invention constructs a train operation time-space network based on the railway network topology structure, and then obtains the operation data corresponding to each risk identification type during the train operation based on the train operation time-space network, and calls the risk identification model corresponding to each risk identification type to analyze the process data and train configuration data, so as to timely identify the safety risks of train operation, EMU operation, and crew operation in the dispatching and command process to avoid safety accidents.

[0052] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 41 (processor), a communication interface 42 (Communications Interface), a memory 43 (memory) and a communication bus 44, wherein the processor 41, the communication interface 42, and the memory 43 communicate with each other through the communication bus 44. The processor 41 may call the logic instructions in the memory 43 to execute the dispatching command safety risk identification method for hidden danger detection, the method comprising: constructing a railway network topology structure, taking stations as nodes, and the lines between nodes representing the station interval; based on the railway network topology structure, constructing a train operation space-time network G=(N, A); wherein N is a space-time node, representing the state of a train at a station at a time point; A is a space-time arc segment, representing the operation process of the train in the station interval; obtaining train configuration information, and based on the train operation space-time network, obtaining the operation data corresponding to each risk identification type during the train operation process, and calling the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or operation data to identify whether there is a dispatching command safety risk.

[0053] In addition, the logic instructions in the above-mentioned memory 43 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0054] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the dispatching and command safety risk identification method for hidden danger investigation provided by the above-mentioned methods, and the method includes: constructing a railway network topology structure, with stations as nodes, and the lines between nodes represent the station-to-station intervals; based on the railway network topology structure, constructing a train operation space-time network G=(N, A); wherein N is a space-time node, representing the state of a train at a station at a point in time; A is a space-time arc segment, representing the operation process of the train in the station-to-station interval; obtaining train configuration information, and based on the train operation space-time network, obtaining operation data corresponding to each risk identification type during the train operation process, and calling the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or operation data to identify whether there is a dispatching and command safety risk.

[0055] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the dispatching and command safety risk identification method for hidden danger investigation provided by the above-mentioned methods, the method comprising: constructing a railway network topology structure, with stations as nodes, and the lines between nodes represent the station-to-station intervals; based on the railway network topology structure, constructing a train operation space-time network G=(N, A); wherein N is a space-time node, representing the state of a train at a station at a point in time; A is a space-time arc segment, representing the operation process of the train in the station-to-station interval; obtaining train configuration information, and based on the train operation space-time network, obtaining operation data corresponding to each risk identification type during the train operation process, and calling the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or operation data to identify whether there is a dispatching and command safety risk.

[0056] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0057] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying safety risks in dispatching and commanding for troubleshooting, characterized in that: include: Construct the railway network topology structure, with stations as nodes and the lines between nodes representing the intervals between stations; Based on the railway network topology, a train operation space-time network G=(N, A) is constructed; wherein N is a space-time node, representing the state of a train at a station at a point in time; A is the space-time arc segment, which represents the running process of the train in the interval between stations; Acquire train configuration information, and based on the train operation time-space network, obtain operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or the operation data to identify whether there is a dispatching and command safety risk.

2. The method for identifying safety risks in dispatching and commanding for troubleshooting according to claim 1 is characterized in that: The risk identification type includes train station interval operation risk identification, and the operation data corresponding to the station interval operation risk identification type is obtained, including the train station arrival and departure time. Accordingly, the risk identification model corresponding to the train station interval operation risk identification type is called to analyze the operation data to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the first risk identification model, and the first risk identification model outputs the risk results of the train operation in the corresponding section; wherein the first risk identification model includes: ， F， Among them, f represents the train, is a set of trains, i, j represent stations, S , represents an interval, SEC is an interval set, is the time when train f arrives at station j, is the time when train f leaves station i, Indicates that train f is in the interval The model represents the difference between the arrival time of train f at the preceding station j and the departure time at station i, i.e., the running time of train f in the interval (i, j) , which is less than the minimum running time of train f in the interval (i, j) , then train f is in the interval There are safety risks in operation; The train station arrival and departure times are input into the second risk identification model, and the second risk identification model outputs the risk results of the train operation in the corresponding section; wherein the second risk identification model includes: ， F， ， in, For trains Arrival time at station j, For trains The time of arrival at station j; For trains The moment you leave station i, For trains The moment you leave station i, Indicates train and In the interval The minimum interval time between trains. and The time interval between arrivals at the preceding station j , or train and The time interval between departures at station i , smaller than the train and In the interval Minimum interval between runs , then the train and In the interval The interval presents a safety risk; The interval crossing sequence is input into the third risk identification model, and the third risk identification model outputs the risk result of the train running in the corresponding interval; wherein the third risk identification model includes: ， F， ， The model indicates that if the train and The arrival order at the next station j is similar to the train and The departure order at station i is inconsistent, then the train and In the interval There is a safety risk of crossing the line.

3. The method for identifying safety risks in dispatching and commanding for troubleshooting according to claim 2 is characterized in that: The risk identification type includes train station operation risk identification, and the operation data corresponding to the station operation risk identification type is obtained, including the train station arrival and departure time, and the train configuration information includes the train length. Accordingly, the risk identification model corresponding to the train station operation risk identification type is called to analyze the operation data and the train configuration information to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the fourth risk identification model, and the fourth risk identification model outputs the risk results on the train station operation; wherein the fourth risk identification model includes: ， F， in, represents the minimum operating time of train f at station i, and the model represents the departure time of train f at station i and arrival time The difference , that is, the train station operation time, is less than the minimum operation time of the train f at station i , then there is a safety risk for train f to operate at station i; The train station arrival and departure times are input into the fifth risk identification model, and the fifth risk identification model outputs the risk results on the train station arrival and departure line occupancy; wherein the fifth risk identification model includes: ， ， in, represents the capacity of station i, that is, the number of arrival and departure tracks at station i, Indicates train Is it in Arrived at the station before i ,when hour, ,otherwise, 0; Indicates train Is it in Leave the station before arrival i ,when hour, ,otherwise, =0; the model indicates that if the train The number of trains that arrived at station i before With in the train The number of trains that left station i before arriving The difference between When the train arrives at station i, the number of existing trains in the station is greater than the number of arrival and departure tracks at the station minus 1, that is, the train If the arrival and departure track needs to be occupied, there is a safety risk when train f occupies the track at station i; If the number of trains at the station at the same time exceeds the number of arrival and departure tracks at the station, there is a safety risk for train f to occupy the track at station i; The train length is input into the sixth risk identification model, and the sixth risk identification model outputs the risk result on the train station operation; wherein the sixth risk identification model includes: ， F， Among them, r represents the starting line, , To gather at the departure line, represents the effective length to the hairline r, represents the length of the train f, and the model represents the length of the train Greater than platform length , there is a security risk.

4. The method for identifying safety risks in dispatching and commanding for troubleshooting of hidden dangers according to claim 1 is characterized in that: The risk identification types include line blocking and speed limit risk identification, and the operation data corresponding to the line blocking and speed limit risk identification types are obtained, including the train station arrival and departure time. Accordingly, the risk identification model corresponding to the line blocking and speed limit risk identification types is called to analyze the operation data to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the seventh risk identification model, and the seventh risk identification model outputs the risk results of the train in the corresponding line blockade section; wherein the seventh risk identification model includes: ， in, and Respectively indicate blocking The start and end time of , Indicates blocking The set of stations involved, the model indicates that if train f enters the blocked area within the blocked time range, that is , then there is a safety risk in the operation of train f. The train station arrival and departure times are input into the eighth risk identification model, and the eighth risk identification model outputs the risk results of the train in the corresponding line speed limit section; wherein the eighth risk identification model includes: ， F， ， in, represents the mileage of interval (i, j), Indicates the speed limit of the interval (i, j); It indicates the minimum running time of the interval that needs to be met according to the interval speed limit regulations. The model indicates the running time of train f in the speed limit interval Less than the minimum running time , then there is a safety risk in the operation of train f.

5. The method for identifying safety risks in dispatching and commanding for troubleshooting according to claim 1 is characterized in that: The risk identification type includes EMU operation risk identification, and the operation data corresponding to the EMU operation risk identification type is obtained, including the train station arrival and departure time, and the train configuration data includes the EMU model, the EMU passenger capacity and the EMU mileage. Accordingly, the risk identification model corresponding to the EMU operation risk identification type is called to analyze the operation data and train configuration data to identify whether there is a dispatching command safety risk, including: The train station arrival and departure times are input into the ninth risk identification model, which outputs the risk results of the EMU connection operation; wherein, the ninth risk identification model includes: ， ， ， ， ， Among them, emu means EMU, EMU means EMU set, emu EMU, cro means train connection, cro= , indicating train Continue , CRO represents the train connection set, cro CRO, Indicates that the train will be connected by an EMU. It indicates the shortest connection time for EMU to execute train connection cro. Indicates train The terminal station, Indicates train The starting station of the model indicates that the train connection time Less than the shortest connection time of the EMU train , there are security risks; The EMU model is input into the tenth risk identification model, and the tenth risk identification model outputs the risk result on the EMU model matching; wherein the tenth risk identification model includes: ， in, Indicates train f Model of Indicates on line q The train running on Indicates line q The set of train models allowed to run. The model indicates that the current model does not meet the line's requirements for train models and there is a safety risk. The passenger capacity of the EMU is input into the eleventh risk identification model, and the eleventh risk identification model outputs the risk results on the train capacity; wherein, the eleventh risk identification model includes: ， in, Indicates a train operated by an EMU. Indicates train The capacity of the EMU, i.e. the passenger capacity of the EMU, Indicates train f The passenger demand of the train should be met by the passenger demand. The model shows that when the train capacity is less than the passenger demand, there is a safety risk. The EMU mileage is input into the twelfth risk identification model, and the twelfth risk identification model outputs the risk results based on the EMU mileage; wherein the twelfth risk identification model includes: ， in, It indicates the mileage of train f operated by EMU. It represents the maintenance mileage standard of EMU, n represents different levels of maintenance, and the model shows that there is a safety risk when the mileage of EMU exceeds the maintenance mileage regulations of different levels.

6. The method for identifying safety risks in dispatching and commanding for troubleshooting of hidden dangers according to claim 1 is characterized in that: The risk identification type includes crew operation risk identification, and the operation data corresponding to the crew operation risk identification type is obtained, including the train station arrival and departure time, and the train configuration data includes the crew duty time and the crew responsible route. Accordingly, the risk identification model corresponding to the crew operation risk identification type is called to analyze the operation data and train configuration data to identify whether there is a dispatching command safety risk, including: The crew duty time is input into the thirteenth risk identification model, and the thirteenth risk identification model outputs the risk result based on the crew duty time; wherein the thirteenth risk identification model includes: ， Among them, cre represents crew, CRE is the crew set, , Indicates the train that is on duty by the crew. It represents the running time of the crew member cre by train f. It represents the maximum value of the crew cre multiplied by time. The model shows that the crew Value multiplied by total time When the maximum riding time is exceeded, there is a safety risk; The train station arrival and departure times are input into the fourteenth risk identification model, and the fourteenth risk identification model outputs the risk results on the crew rest time; wherein the fourteenth risk identification model includes: ， ， ， ， ， in, Indicates that the train on duty by the crew is connected. The shortest rest time for the crew cre to take the train to continue cro is represented by the model. The train connection time Less than the shortest rest time of the crew member cre for the train , there are security risks; The crew responsibility route is input into the fifteenth risk identification model, and the fifteenth risk identification model outputs the risk result on the crew responsibility route; wherein the fifteenth risk identification model includes: ， in, It represents the route multiplied by the crew value. represents the set of intersections that the crew cre can multiply. The model indicates that if the intersection of the crew group cre multiplies If the route does not belong to the set of routes that the crew can take, there is a safety risk.

7. A dispatching command safety risk identification device for hidden danger detection, characterized in that: include: The first construction module is used to construct the railway network topology structure, with stations as nodes and the lines between nodes representing the intervals between stations; The second construction module is used to construct a train operation space-time network G=(N, A) based on the railway network topology structure; wherein N is a space-time node representing the state of a train at a station at a point in time; A is the space-time arc segment, which represents the running process of the train in the interval between stations; The identification module is used to obtain train configuration information, and based on the train operation space-time network, obtain the operation data corresponding to each risk identification type during the train operation process, and call the risk identification model corresponding to each risk identification type to analyze the train configuration information and / or the operation data to identify whether there is a dispatching and command safety risk.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the dispatching and command safety risk identification method for hidden danger detection as described in any one of claims 1-6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the dispatching and command safety risk identification method for hidden danger detection as described in any one of claims 1-6.

Images