CN113836827B - Interval direction initialization test method and system - Google Patents

Interval direction initialization test method and system Download PDF

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CN113836827B
CN113836827B CN202111416703.9A CN202111416703A CN113836827B CN 113836827 B CN113836827 B CN 113836827B CN 202111416703 A CN202111416703 A CN 202111416703A CN 113836827 B CN113836827 B CN 113836827B
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CN113836827A (en
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高博
冯岳
付一朋
延旭
任凤翔
闫伟
曹欣
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Casco Signal Beijing Ltd
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Abstract

The invention provides an interval direction initialization test method and system, wherein the method comprises the following steps: analyzing the interval requirement to obtain a first input condition in the interval direction, a second input condition in the interval direction and a third input condition in the interval direction; obtaining a fourth input condition according to the second input condition and the third input condition, wherein the fourth input condition is an adjacent station direction input condition; acquiring a fifth input condition, wherein the fifth input condition is an input condition for governing the direction of the relay station; taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions; obtaining an input condition combination table according to the basic input conditions; constructing an interval direction initialization test model according to the basic input conditions and the input condition combination table; and acquiring first input information, and inputting the first input information into the interval direction to initialize the test model so as to acquire a first prediction result.

Description

Interval direction initialization test method and system
Technical Field
The invention relates to the technical field of rail transit, in particular to an interval direction initialization testing method and system.
Background
The self-closing line is a line capable of realizing automatic block of a section, and a train only needs to see signals to drive on the line. In order to ensure the safety of train running on the railway, the railway head office proposes to add a section occupation logic check function to further improve the transportation safety.
In a high-speed railway, the function of logic inspection of section occupation is realized through a train control center, while in a relay type coding railway, the function of logic inspection of section occupation needs to be added with a large number of relays and relay combination circuits, but the wiring is complex, the construction difficulty is high, the condition of the circuit is limited, and the tracking operation of front and rear vehicles cannot be effectively distinguished. Therefore, in the prior art, a relay type coding railway self-closing section occupation logic checking function is generally realized based on a safety computer technology.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the prior art, a relay type coding railway self-closing interval occupation logic checking function is realized based on a safety computer technology, but a corresponding testing method does not exist, a testing case guidance test related to the direction initialization of an interval comprehensive monitoring system is lacked, so that double-shot output and other output to a dangerous side can be generated after the railway self-closing interval comprehensive monitoring system is powered on and started, and the technical problem that the driving safety can be influenced exists.
Disclosure of Invention
The embodiment of the application provides an interval direction initialization testing method and system, which are used for solving the technical problems that in the prior art, a relay type coding railway self-closing interval occupation logic checking function is realized based on a safety computer technology, but a corresponding testing method does not exist, and direction initialization testing case guidance testing related to an interval comprehensive monitoring system is lacked, so that double-shot and other output to a dangerous side can be generated after power-on starting, and driving safety can be influenced.
In view of the foregoing problems, embodiments of the present application provide a method and a system for testing initialization of an interval direction.
In a first aspect of the embodiments of the present application, a method for testing initialization of an interval direction is provided, where the method includes: analyzing an interval requirement, and obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, wherein the first input condition is a relay state input condition in the local station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition; obtaining a fourth input condition according to the second input condition and the third input condition, wherein the fourth input condition is an adjacent station direction input condition; acquiring a fifth input condition, wherein the fifth input condition is an input condition for dominating the direction of the relay station; taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions; obtaining an input condition combination table according to the basic input conditions; establishing an interval direction initialization test model according to the basic input conditions and the input condition combination table; and acquiring first input information, inputting the first input information into the interval direction initialization test model, and acquiring a first prediction result.
In a second aspect of the embodiments of the present application, there is provided an interval direction initialization test system, where the system includes: the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for analyzing an interval requirement, obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, the first input condition is a relay state input condition in the station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition; a first processing unit, configured to obtain a fourth input condition according to the second input condition and the third input condition, where the fourth input condition is an adjacent station direction input condition; a second obtaining unit, configured to obtain a fifth input condition, where the fifth input condition is an input condition for dominating a relay station direction; a second processing unit configured to take the first input condition, the fourth input condition, and the fifth input condition as basic input conditions; a third processing unit, configured to obtain an input condition combination table according to the basic input condition; the first construction unit is used for constructing an interval direction initialization test model according to the basic input conditions and the input condition combination table; and the fourth processing unit is used for obtaining first input information, inputting the first input information into the interval direction initialization test model, and obtaining a first prediction result.
In a third aspect of the embodiments of the present application, there is provided an interval direction initialization test system, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method according to the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the method provided by the embodiment of the application obtains the relay state input condition of the current station direction, the communication state input condition of the adjacent station and the direction input condition of the adjacent station by analyzing the logic check function requirement of the section occupation of the current section, then combines the communication state input condition of the adjacent station and the direction input condition of the adjacent station into the direction input condition of the adjacent station, then obtains the direction input condition of the dominating relay station, uses the relay state input condition of the current station direction, the direction input condition of the adjacent station and the direction input condition of the dominating relay station as basic input conditions to form an input condition combination table, combines according to different states of each basic input condition to form an initialization test model of the section direction, and then inputs the first input information into the model to obtain a prediction result, thereby obtaining the section direction. According to the method and the device, the test environment of the logic check function occupied by the relay type coding railway self-closing interval is realized based on the safety computer technology, the internal and external conditions of the self-closing interval are obtained, the current station initialization direction is obtained through analysis and test, the accident that driving safety is affected due to direction initialization failure can be avoided, the blank of the interval comprehensive monitoring system direction initialization test is made up, the constraint condition of the departure direction is fully verified, the output of guiding dangerous sides such as double-start and the like can be avoided, the key guiding effect on subsequent tests is achieved, the accurate test initialization direction is achieved, and the technical effect of driving safety is guaranteed.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of an interval direction initialization testing method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating an interval direction obtained according to basic input conditions in an interval direction initialization testing method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a test environment in an interval direction initialization test method according to an embodiment of the present application;
fig. 4 is a schematic diagram of a relay station RSSP-I simulator in an interval direction initialization testing method according to an embodiment of the present application;
fig. 5 is a schematic diagram of a neighboring station RSSP-I simulator in an interval direction initialization testing method according to an embodiment of the present application;
fig. 6 is a schematic diagram of an SSDM display interface in an interval direction initialization testing method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an interval direction initialization test system according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the system comprises a first obtaining unit 11, a first processing unit 12, a second obtaining unit 13, a second processing unit 14, a third processing unit 15, a first constructing unit 16, a fourth processing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides an interval direction initialization testing method and system, and aims to solve the technical problems that in the prior art, a relay type coding railway self-closing interval occupation logic checking function is realized based on a safety computer technology, but a corresponding testing method does not exist, and direction initialization testing case guidance testing of an interval comprehensive monitoring system is lacked, so that double-shot output and other output to a dangerous side can be generated after power-on starting, and driving safety can be affected.
The method provided by the embodiment of the application obtains the relay state input condition of the current station direction, the communication state input condition of the adjacent station and the direction input condition of the adjacent station by analyzing the logic check function requirement of the section occupation of the current section, then combines the communication state input condition of the adjacent station and the direction input condition of the adjacent station into the direction input condition of the adjacent station, then obtains the direction input condition of the dominating relay station, uses the relay state input condition of the current station direction, the direction input condition of the adjacent station and the direction input condition of the dominating relay station as basic input conditions to form an input condition combination table, combines according to different states of each basic input condition to form an initialization test model of the section direction, and then inputs the first input information into the model to obtain a prediction result, thereby obtaining the section direction. According to the method and the device, the test environment of the logic check function occupied by the relay type coding railway self-closing interval is realized based on the safety computer technology, the internal and external conditions of the self-closing interval are obtained, the current station initialization direction is obtained through analysis and test, the accident that driving safety is affected due to direction initialization failure can be avoided, the blank of the interval comprehensive monitoring system direction initialization test is made up, the constraint condition of the departure direction is fully verified, the output of guiding dangerous sides such as double-start and the like can be avoided, the key guiding effect on subsequent tests is achieved, the accurate test initialization direction is achieved, and the technical effect of driving safety is guaranteed.
Summary of the application
The self-closing line is a line capable of realizing automatic block of a section, and a train only needs to see signals to drive on the line. In order to ensure the safety of train running on the railway, the railway head office proposes to add a section occupation logic check function to further improve the transportation safety. In a high-speed railway, the logic inspection function of the section occupation is realized through a train control center, and in a relay type coding railway, the logic inspection function of the section occupation needs to be added with a large number of relays and relay combination circuits, but the wiring is complex, the construction difficulty is high, the tracking operation of front and rear vehicles cannot be effectively distinguished due to the condition of the circuit, and the potential safety risk that the rear vehicle loses shunt protection after the error is relieved exists. Therefore, in the prior art, a relay type coding railway self-closing section occupation logic checking function is generally realized based on a safety computer technology, and a railway general company publishes temporary technical conditions of a railway signal section comprehensive monitoring system based on the logical checking function. In the prior art, a relay type coding railway self-closing interval occupation logic checking function is realized based on a safety computer technology, but a corresponding testing method does not exist, a testing case guidance test related to the direction initialization of an interval comprehensive monitoring system is lacked, so that double-shot output and other output to a dangerous side can be generated after the railway self-closing interval comprehensive monitoring system is powered on and started, and the technical problem that the driving safety can be influenced exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
analyzing an interval requirement, and obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, wherein the first input condition is a relay state input condition in the local station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition; obtaining a fourth input condition according to the second input condition and the third input condition, wherein the fourth input condition is an adjacent station direction input condition; acquiring a fifth input condition, wherein the fifth input condition is an input condition for dominating the direction of the relay station; taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions; obtaining an input condition combination table according to the basic input conditions; establishing an interval direction initialization test model according to the basic input conditions and the input condition combination table; and acquiring first input information, inputting the first input information into the interval direction initialization test model, and acquiring a first prediction result.
Having described the basic principles of the present application, the following embodiments will be described in detail and fully with reference to the accompanying drawings, it being understood that the embodiments described are only some embodiments of the present application, and not all embodiments of the present application, and that the present application is not limited to the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an interval direction initialization testing method, where the method includes:
s100: analyzing an interval requirement, and obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, wherein the first input condition is a relay state input condition in the local station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition;
specifically, when an analysis section is required, external conditions of the self-closing line section need to be acquired, for example, according to technical specifications of a relay type coded railway self-closing section occupancy logic check function, when communication with an adjacent station is normal, the departure direction of the adjacent station, the relay state of the station and the like are acquired.
And obtaining a first input condition in the interval direction, a second input condition in the interval direction and a third input condition in the interval direction by analyzing the interval requirement. The first input condition is a local station direction relay state input condition, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition.
The step S100 includes:
s110: acquiring a first requirement, wherein the first requirement is that after the regional integrated monitoring system is powered on and started, the communication with an adjacent station is normal, and the adjacent station is in a departure direction, and the station is initialized to be in a receiving direction;
s120: acquiring a second requirement, wherein the second requirement is that the communication with the adjacent station is normal after the regional integrated monitoring system is powered on and started, the adjacent station is in the direction of receiving the train, the direction relay of the station is in the direction of departure, and the station is initialized to be in the direction of departure;
s130: obtaining a third requirement, and if the first requirement and the second requirement are not met, initializing the station into a vehicle receiving direction;
s140: and analyzing the first requirement, the second requirement and the third requirement to obtain the interval direction input condition.
Specifically, in the first input condition, the second input condition and the third input condition, after the integrated inter-zone monitoring system is powered on and started, the communication with the adjacent station is normal, and the adjacent station is in the departure direction, and the station is initialized to the pickup direction.
After the interval comprehensive monitoring system is electrified and started, the communication with an adjacent station is normal, the adjacent station is in the direction of receiving the train, the direction relay of the station is in the direction of departure, and the station is initialized to be in the direction of departure.
If the above conditions are not satisfied, the station is initialized to the pickup direction. After the regional comprehensive monitoring system is electrified and started, the communication with the adjacent station is abnormal, or the communication with the adjacent station is normal, the adjacent station is in the vehicle receiving direction, the relay in the direction of the station is in the vehicle receiving direction, and the station is initialized to the vehicle receiving direction.
S200: obtaining a fourth input condition according to the second input condition and the third input condition, wherein the fourth input condition is an adjacent station direction input condition;
the step S200 includes:
s210: obtaining adjacent station types, wherein the adjacent station types comprise a relay station and a station;
s220: and combining the second input condition and the third input condition according to the type of the adjacent station to obtain a fourth input condition, wherein the fourth input condition is an adjacent station direction input condition.
Specifically, in the self-closing line, the adjacent stations are divided into two types, namely a relay station and a station, and the second input condition and the third input condition are combined into a fourth output condition, which is an adjacent station direction input condition, according to the type of the adjacent station. Namely, the adjacent station communication state input condition and the adjacent station direction input condition are combined into the adjacent station direction input condition.
S300: acquiring a fifth input condition, wherein the fifth input condition is an input condition for dominating the direction of the relay station;
s400: taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions;
specifically, after the second input condition and the third input condition are combined into the fourth output condition, the external condition extraction is performed to obtain the input condition of the jurisdiction relay station direction as the fifth input condition. And then taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions, namely taking the relay state input condition of the station direction, the adjacent station direction input condition and the domination relay station direction input condition as basic input conditions, and testing according to the three basic input conditions as input information.
Fig. 2 is a schematic diagram illustrating obtaining of a section port direction according to a basic input condition in a method provided by an embodiment of the present application. The relay station can output different section port directions according to different directions of the relay station, adjacent station directions and domination relay station directions.
S500: obtaining an input condition combination table according to the basic input conditions;
step S500 includes:
s510: obtaining possible values for the basic input conditions;
s520: obtaining an input condition map according to the basic input conditions and the possible values of each basic input condition;
s530: and obtaining an input condition combination table according to the input condition graph.
Specifically, according to different possible values in each of the basic input conditions, the three basic input conditions may be multiplied by x to be combined, so as to obtain an input condition combination table, as shown in table 1. Wherein, the possible values of the state of the directional relay of the station comprise: three values of vehicle receiving, vehicle sending and unknown state are obtained. Possible values of the neighboring station direction input condition include: receiving, sending, no direction, communication interruption four values. Possible value input conditions governing the direction of the relay station include: receiving, sending, no direction, communication interruption four values.
Table 1 input condition combination table
Figure 188259DEST_PATH_IMAGE001
S600: establishing an interval direction initialization test model according to the basic input conditions and the input condition combination table;
the step S600 includes:
s610: taking the basic input condition as input information;
s620: taking the input condition combination table as supervision data;
s630: and training the neural network model through the input information and the supervision data to obtain an interval direction initialization test model.
Specifically, the above-described basic input conditions are used as input information, and the input condition combination table shown in table 1 is used as supervisory data to train a neural network model, which is a complex neural network system formed by widely interconnecting a large number of simple processing units (called neurons) and reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons.
In the embodiment of the present application, based on the input condition combination table, expected initialization results in different section directions can be obtained under different basic input condition combinations, and the combination of multiplying by x is performed according to the basic input conditions, and all the expected initialization results are listed and shown as shown in table 2.
TABLE 2 expected initialization result combination table
Figure 43083DEST_PATH_IMAGE002
As shown in table 2, the basic input condition content in table 1 and the corresponding expected initialization result are included, the input information and input condition combination table is used to train the neural network model, so as to obtain the interval direction initialization test model, and the interval direction initialization test model can output an accurate expected initialization result according to different basic input conditions.
S700: and acquiring first input information, inputting the first input information into the interval direction initialization test model, and acquiring a first prediction result.
Step S700 includes:
s710: inputting the first input information into the interval direction initialization test model;
s720: the interval direction initialization test model is obtained by training a plurality of groups of training data to a convergence state, wherein each group of training data comprises first input information and identification information for identifying a prediction result;
s730: and obtaining output information of the interval direction initialization test model, wherein the output information comprises the first prediction result.
Specifically, the first prediction result includes an expected initialization result, the interval direction initialization test model is trained by using the input condition combination table as supervision data, each set of training data includes a basic input condition and identification information for identifying the first prediction result, and when the output information of the interval direction initialization test model reaches a predetermined accuracy rate/convergence state, the supervision learning process is ended. By carrying out data training on the interval direction initialization test model, the interval direction initialization test model can process basic input conditions more accurately, and further the output first prediction result is more accurate.
According to the method and the device, the test environment of the logic check function occupied by the relay type coding railway self-closing interval is realized based on the safety computer technology, the internal and external conditions of the self-closing interval are obtained, the current station initialization direction is obtained through analysis and test, the accident that driving safety is affected due to direction initialization failure can be avoided, the blank of the interval comprehensive monitoring system direction initialization test is made up, the constraint condition of the departure direction is fully verified, the output of guiding dangerous sides such as double-start and the like can be avoided, the key guiding effect on subsequent tests is achieved, the accurate test initialization direction is achieved, and the technical effect of driving safety is guaranteed.
The following describes a scenario of a practical application of the method provided in the embodiment of the present application, so as to better understand the technical solution of the present application, but not to limit the present application.
The test sample in the actual test includes the following contents:
step 1, according to table 2 in the above contents, test cases are written according to the following templates, and each row corresponds to one test case, for example, table 3.
Table 3 test sample table
Figure 291662DEST_PATH_IMAGE003
And 2, building an interval comprehensive monitoring system test environment, including adjacent station simulation, CITB, a maintenance terminal and RJP, as shown in FIG. 3.
In fig. 3, RJP and QJK communicate with each other via RS-422 serial port, and the other parts communicate via network. The neighbor simulates a simulator that employs the RSSP-I protocol. The CITB is a device simulating real I/O and can control the state of the collected directional relay. The SSDM is a maintenance and diagnosis system of the section integrated monitoring system, and can observe an actual direction initialization result.
And step 3, setting the interval direction for dominating the transmission of the relay station on the relay station RSSP-I simulator according to the combination of the basic input conditions in the input condition combination table in the table 1, wherein fig. 4 shows a schematic diagram of the relay station RSSP-I simulator in the embodiment of the application. The adjacent station RSSP-I simulator sets the interval direction of adjacent station transmission, and fig. 5 shows a schematic diagram of the adjacent station RSSP-I simulator in the embodiment of the present application.
And 4, setting the state of the directional relay on the CITB, wherein FJQ is sucked up, FJH falls down to indicate that the car is picked up, FJQ falls down, FJH is sucked up to indicate that the car is sent out, and both FJQ and FJH fall down to indicate that the state is unknown.
And 5, restarting the comprehensive interval monitoring system after the setting in the steps 3 and 4 is finished, and observing the finally calculated direction of the interval port on the SSDM after the system is normal. Fig. 6 shows a schematic diagram of a possible SSDM interface in an embodiment of the present application. Different identifiers can be displayed on the SSDM interface, for example, different arrows are displayed, in fig. 6, the arrow toward the right is the direction of receiving the car, and the arrow toward the left is the direction of departure, so that the finally calculated direction of the section port can be directly observed.
And 6, comparing the actually observed local station interval port direction with the expected result in the example in the table 3, filling the pass/fail column if the actual observed local station interval port direction is consistent with the expected result in the example in the table 3, filling the fail column if the actual observed local station interval port direction is inconsistent with the expected result in the example in the table 3, noting the reason of the filling failure in the column, and traversing the combination in the tables 1 and 2 until the test is finished.
To sum up, the method provided in this embodiment of the present application obtains the local station direction relay state input condition, the adjacent station communication state input condition, and the adjacent station direction input condition by analyzing the requirement of the logical check function of the current interval occupied by the interval, then combines the adjacent station communication state input condition and the adjacent station direction input condition into the adjacent station direction input condition, and then obtains the domination relay station direction input condition, and uses the local station direction relay state input condition, the adjacent station direction input condition, and the domination relay station direction input condition as the basic input conditions to form the input condition combination table, and combines according to different states of each basic input condition, and constructs the interval direction initialization test model, and then inputs the first input information into the model to obtain the prediction result, and then obtains the interval direction. According to the method and the device, the test environment of the logic check function occupied by the relay type coding railway self-closing interval is realized based on the safety computer technology, the internal and external conditions of the self-closing interval are obtained, the current station initialization direction is obtained through analysis and test, the accident that driving safety is affected due to direction initialization failure can be avoided, the blank of the interval comprehensive monitoring system direction initialization test is made up, the constraint condition of the departure direction is fully verified, the output of guiding dangerous sides such as double-start and the like can be avoided, the key guiding effect on subsequent tests is achieved, the accurate test initialization direction is achieved, and the technical effect of driving safety is guaranteed.
Example two
Based on the same inventive concept as the interval direction initialization test method in the foregoing embodiment, as shown in fig. 7, an embodiment of the present application provides an interval direction initialization test system, where the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to analyze an interval requirement, and obtain a first input condition in an interval direction, a second input condition in the interval direction, and a third input condition in the interval direction, where the first input condition is a relay state input condition in a local station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition;
a first processing unit 12, wherein the first processing unit 12 is configured to obtain a fourth input condition according to the second input condition and the third input condition, and the fourth input condition is an adjacent station direction input condition;
a second obtaining unit 13, where the second obtaining unit 13 is configured to obtain a fifth input condition, where the fifth input condition is an input condition for jurisdictional relay station direction;
a second processing unit 14, the second processing unit 14 being configured to take the first input condition, the fourth input condition and the fifth input condition as basic input conditions;
a third processing unit 15, where the third processing unit 15 is configured to obtain an input condition combination table according to the basic input conditions;
a first constructing unit 16, where the first constructing unit 16 is configured to construct an interval direction initialization test model according to the basic input condition and the input condition combination table;
a fourth processing unit 17, where the fourth processing unit 17 is configured to obtain first input information, input the first input information into the interval direction initialization test model, and obtain a first prediction result.
Further, the system further comprises:
a third obtaining unit, configured to obtain a first requirement, where the first requirement is that after the interval comprehensive monitoring system is powered on and started, the communication with an adjacent station is normal, and the adjacent station is in a departure direction, and then the local station is initialized to a pickup direction;
a fourth obtaining unit, configured to obtain a second requirement, where the second requirement is that after the interval comprehensive monitoring system is powered on and started, the second requirement is that communication with the adjacent station is normal, the adjacent station is in a vehicle receiving direction, and the relay in the direction of the local station is in a vehicle sending direction, and the local station is initialized to the vehicle sending direction;
a fifth obtaining unit, configured to obtain a third requirement, and if the first requirement and the second requirement are not met, initialize the station to a pickup direction;
a fifth processing unit, configured to analyze the first requirement, the second requirement, and the third requirement, and obtain the interval direction input condition.
Further, the system further comprises:
a sixth obtaining unit, configured to obtain neighboring station types, where the neighboring station types include a relay station and a station;
a sixth processing unit, configured to combine the second input condition and the third input condition according to the type of the adjacent station, to obtain a fourth input condition, where the fourth input condition is an adjacent station direction input condition.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain possible values of the basic input condition;
a seventh processing unit, configured to obtain an input condition map according to the basic input conditions and the possible values of each of the basic input conditions;
an eighth processing unit, configured to obtain an input condition combination table according to the input condition map.
Further, the system further comprises:
an eighth obtaining unit configured to take the basic input condition as input information;
a ninth obtaining unit configured to use the input condition combination table as supervision data;
and the ninth processing unit is used for training the neural network model through the input information and the supervision data to obtain an interval direction initialization test model.
Further, the system further comprises:
a tenth processing unit, configured to input the first input information into the interval direction initialization test model;
an eleventh processing unit, configured to train the interval direction initialization test model to a convergence state through multiple sets of training data, where each set of training data includes first input information and identification information that identifies a prediction result;
a tenth obtaining unit, configured to obtain output information of the interval direction initialization test model, where the output information includes the first prediction result.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to figure 8,
based on the same inventive concept as the interval direction initialization test method in the foregoing embodiment, an embodiment of the present application further provides an interval direction initialization test system, including: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes the system to perform the steps of the method of embodiment one.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 8, but this is not intended to represent only one bus or type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the teachings of the present application.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)
read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement the interval direction initialization testing method provided by the above-mentioned embodiment of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application adopts the principal component analysis method to process historical parameter data by obtaining the processing parameters for the granular sludge sewage treatment, constructing a first granular sludge treatment state space based on pilot-scale research and Markov decision-making process, obtaining corresponding node state parameters after corresponding treatment of parameter adjustment behaviors, judging whether the corresponding first granular sludge treatment parameters meet preset treatment threshold values, further carrying out granular sludge sewage treatment, the embodiment of the application constructs a quantifiable control method for granular sludge sewage treatment, the granular sludge sewage treatment parameters can be set according to different sewage treatment requirements, the granular sludge sewage treatment parameters meeting the sewage treatment requirements can be accurately and intelligently obtained, the manual participation degree is reduced, the manual experiment cost is reduced, the sewage treatment efficiency is improved, and the technical effect of accurately and intelligently setting the sewage treatment parameters according to the sewage treatment requirements is achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.

Claims (6)

1. An interval direction initialization testing method is applied to an interval comprehensive monitoring system and comprises the following steps:
analyzing an interval requirement, and obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, wherein the first input condition is a relay state input condition in the local station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition;
obtaining a fourth input condition according to the second input condition and the third input condition, wherein the fourth input condition is an adjacent station direction input condition;
acquiring a fifth input condition, wherein the fifth input condition is an input condition for dominating the direction of the relay station;
taking the first input condition, the fourth input condition and the fifth input condition as basic input conditions;
obtaining an input condition combination table according to the basic input conditions;
establishing an interval direction initialization test model according to the basic input conditions and the input condition combination table;
acquiring first input information, inputting the first input information into the interval direction initialization test model, and acquiring a first prediction result;
the constructing of the interval direction initialization test model according to the basic input conditions and the input condition combination table comprises:
taking the basic input condition as input information;
taking the input condition combination table as supervision data;
training a neural network model through the input information and the supervision data to obtain an interval direction initialization test model;
the obtaining of the first input information, inputting the first input information into the interval direction initialization test model, and obtaining a first prediction result includes:
inputting the first input information into the interval direction initialization test model;
the interval direction initialization test model is obtained by training a plurality of groups of training data to a convergence state, wherein each group of training data comprises first input information and identification information for identifying a prediction result;
and obtaining output information of the interval direction initialization test model, wherein the output information comprises the first prediction result.
2. The method of claim 1, wherein analyzing the interval requirement to obtain an interval direction input condition comprises:
acquiring a first requirement, wherein the first requirement is that after the regional integrated monitoring system is powered on and started, the communication with an adjacent station is normal, and the adjacent station is in a departure direction, and the station is initialized to be in a receiving direction;
acquiring a second requirement, wherein the second requirement is that the communication with the adjacent station is normal after the regional integrated monitoring system is powered on and started, the adjacent station is in the direction of receiving the train, the direction relay of the station is in the direction of departure, and the station is initialized to be in the direction of departure;
obtaining a third requirement, and if the first requirement and the second requirement are not met, initializing the station into a vehicle receiving direction;
and analyzing the first requirement, the second requirement and the third requirement to obtain the interval direction input condition.
3. The method of claim 1, wherein the obtaining a fourth input condition based on the second input condition and the third input condition comprises:
obtaining adjacent station types, wherein the adjacent station types comprise a relay station and a station;
and combining the second input condition and the third input condition according to the type of the adjacent station to obtain a fourth input condition, wherein the fourth input condition is an adjacent station direction input condition.
4. The method of claim 1, wherein the obtaining an input condition combination table according to the basic input condition comprises:
obtaining possible values for the basic input conditions;
obtaining an input condition map according to the basic input conditions and the possible values of each basic input condition;
and obtaining an input condition combination table according to the input condition graph.
5. An inter-zone direction initialization test system, wherein the system comprises:
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for analyzing an interval requirement, obtaining a first input condition in an interval direction, a second input condition in the interval direction and a third input condition in the interval direction, the first input condition is a relay state input condition in the station direction, the second input condition is an adjacent station communication state input condition, and the third input condition is an adjacent station direction input condition;
a first processing unit, configured to obtain a fourth input condition according to the second input condition and the third input condition, where the fourth input condition is an adjacent station direction input condition;
a second obtaining unit, configured to obtain a fifth input condition, where the fifth input condition is an input condition for dominating a relay station direction;
a second processing unit configured to take the first input condition, the fourth input condition, and the fifth input condition as basic input conditions;
a third processing unit, configured to obtain an input condition combination table according to the basic input condition;
the first construction unit is used for constructing an interval direction initialization test model according to the basic input conditions and the input condition combination table;
a fourth processing unit, configured to obtain first input information, input the first input information into the interval direction initialization test model, and obtain a first prediction result;
the system further comprises:
an eighth obtaining unit configured to take the basic input condition as input information;
a ninth obtaining unit configured to use the input condition combination table as supervision data;
the ninth processing unit is used for training the neural network model through the input information and the supervision data to obtain an interval direction initialization test model;
the system further comprises:
a tenth processing unit, configured to input the first input information into the interval direction initialization test model;
an eleventh processing unit, configured to train the interval direction initialization test model to a convergence state through multiple sets of training data, where each set of training data includes first input information and identification information that identifies a prediction result;
a tenth obtaining unit, configured to obtain output information of the interval direction initialization test model, where the output information includes the first prediction result.
6. An inter-zone direction initialization test system comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method of any of claims 1 to 4.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740839A (en) * 2018-11-23 2019-05-10 北京交通大学 Train Dynamic method of adjustment and system under a kind of emergency event
CN110775109A (en) * 2019-11-06 2020-02-11 中国铁道科学研究院集团有限公司通信信号研究所 High-speed railway train arrival time prediction method based on dispatching command system
CN111708708A (en) * 2020-06-22 2020-09-25 卡斯柯信号(北京)有限公司 Automatic test method and device for interval occupation logic check function
WO2021068602A1 (en) * 2019-10-10 2021-04-15 北京全路通信信号研究设计院集团有限公司 Multi-mode multi-service rail transit analog simulation method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740839A (en) * 2018-11-23 2019-05-10 北京交通大学 Train Dynamic method of adjustment and system under a kind of emergency event
WO2021068602A1 (en) * 2019-10-10 2021-04-15 北京全路通信信号研究设计院集团有限公司 Multi-mode multi-service rail transit analog simulation method and system
CN110775109A (en) * 2019-11-06 2020-02-11 中国铁道科学研究院集团有限公司通信信号研究所 High-speed railway train arrival time prediction method based on dispatching command system
CN111708708A (en) * 2020-06-22 2020-09-25 卡斯柯信号(北京)有限公司 Automatic test method and device for interval occupation logic check function

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