CN112799380B - Auxiliary system self-checking system and method suitable for unmanned train - Google Patents

Auxiliary system self-checking system and method suitable for unmanned train Download PDF

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CN112799380B
CN112799380B CN202110001920.5A CN202110001920A CN112799380B CN 112799380 B CN112799380 B CN 112799380B CN 202110001920 A CN202110001920 A CN 202110001920A CN 112799380 B CN112799380 B CN 112799380B
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auxiliary
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train
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CN112799380A (en
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邸峰
曾凡飞
刘天宇
高瀚
王博
王旭阳
周双雷
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CRRC Qingdao Sifang Rolling Stock Research Institute Co Ltd
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    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0262Confirmation of fault detection, e.g. extra checks to confirm that a failure has indeed occurred
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract

The invention relates to an auxiliary system self-checking system and method suitable for an unmanned train, wherein the method comprises the following steps: establishing a fault knowledge base of each auxiliary subsystem to be tested; when the communication of the train network and the communication of each auxiliary subsystem to be tested are normal, each auxiliary subsystem to be tested enters a low-voltage self-checking mode; after the low-voltage self-inspection is normal, each auxiliary subsystem to be tested enters a high-voltage self-inspection mode; and feeding back the high-low voltage self-checking result and the matched fault suggestion solution in the fault knowledge base to a signal vehicle-mounted controller, and sending the signal vehicle-mounted controller to a central signal system. The invention integrates the auxiliary subsystems related to functions to carry out the mode detection, the generalized auxiliary system is used for executing the static self-detection of the train, the fault knowledge base of each auxiliary subsystem is established, and the high-low voltage self-detection results of each auxiliary subsystem are combined to obtain the fault suggestion solution matched in the corresponding fault knowledge base, no additional hardware is needed, the coordination processing of operation and dispatching personnel is convenient, and the fault positioning precision and the detection efficiency are improved.

Description

Auxiliary system self-checking system and method suitable for unmanned train
Technical Field
The invention belongs to the technical field of train unmanned driving, and particularly relates to an auxiliary system self-checking system and method suitable for an unmanned train.
Background
Like conventional subway, unmanned train also need detect the vehicle condition before the operation of going on-line, but conventional subway relies on the manual work to accomplish the daily inspection to the train, accomplish power-on and train detection before going on-line, current unmanned train can long-rangely rely on each subsystem self-checking to carry out train awakening and detection, it has certain reduction to consume time, but still need the manual work to issue the test command to each subsystem respectively, and carry out analysis and judgment to returning the self-checking result, confirm whether each system of vehicle satisfies the operation requirement, judge how the problem that appears handles, still need to participate in the scheduling personnel and have higher specialty, and just detect system functionality and can not discover the trouble that is about to take place.
For example, patent CN110949450A discloses a self-checking method for a direct-alternating traction system, which can detect whether each device and each functional circuit in a converter have a fault before a train starts to operate, and the method only detects contactors, sensors, and the like of the converter, and needs to circularly issue an instruction to open and close each contactor, which consumes a long time, needs to manually perform a handling measure for a test result, does not perform system-level interaction, and is not suitable for application in an intelligent unmanned train.
In conclusion, in the application of the rail transit adopting the unmanned scheme, along with the rapid development and application of the intelligent operation and maintenance system, the self-checking method of the existing system has certain limitations and cannot be applied to the intelligent unmanned application scene.
Therefore, if an intelligent system self-checking strategy suitable for the unmanned train can be provided, the labor cost in the unmanned rail transit operation can be effectively reduced, the operation efficiency is improved, meanwhile, the health degree of the system can be detected more comprehensively, and the safe and stable operation of the train is guaranteed.
Disclosure of Invention
In order to overcome the defects of the existing self-checking measures for the unmanned train, the invention provides an auxiliary system self-checking system and a method suitable for the unmanned train.
In order to achieve the aim, the invention provides an auxiliary system self-checking system suitable for an unmanned train, which comprises a central signal system, a wired backbone network, a train-ground wireless communication system, a signal vehicle-mounted controller, a train network system and an auxiliary subsystem to be tested, wherein the central signal system is connected with the central signal system through a wired backbone network;
after the train is successfully awakened, the central signal system issues a train self-checking instruction, the train self-checking instruction is sent out through a wired backbone network of the dispatching center and is sent to the signal vehicle-mounted controller through the train-ground wireless communication system, the signal vehicle-mounted controller is in interactive communication with each auxiliary subsystem to be tested through the train network system, and a control unit of each auxiliary subsystem to be tested receives the central signal system instruction to perform self-checking.
Preferably, the auxiliary subsystem to be tested comprises an auxiliary inverter, a charger, an air conditioner, a BMS battery management system and an air compressor.
An auxiliary system self-checking method suitable for an unmanned train comprises the following steps:
establishing a fault knowledge base of each auxiliary subsystem to be tested;
when the communication of the train network and the communication of each auxiliary subsystem to be tested are normal, each auxiliary subsystem to be tested enters a low-voltage self-checking mode: the control unit of each auxiliary subsystem to be tested detects fault protection existing in a low-voltage state, performs fault matching with the established fault knowledge base, terminates the test if faults meeting the fault level of the test termination condition exist, feeds back the test result and the fault suggestion solution matched in the fault knowledge base to the signal vehicle-mounted controller, and sends the test result and the fault suggestion solution to the central signal system;
if the low-voltage self-check of the system is normal, each auxiliary subsystem to be tested enters a high-voltage self-check mode: the auxiliary inverter and the charger are subjected to self-checking preferentially; after the auxiliary inverter and the charger are started successfully, the auxiliary subsystems to be tested except the auxiliary inverter and the charger enter a high-voltage self-checking mode, the control units of the auxiliary subsystems to be tested execute the high-voltage self-checking process in parallel, and feed back the test result and the fault suggestion solution matched in the fault knowledge base to the signal vehicle-mounted controller and send the test result and the fault suggestion solution to the central signal system.
Preferably, the method for establishing the fault knowledge base of each auxiliary subsystem to be tested comprises the following steps:
analyzing each auxiliary subsystem to be tested, and establishing a fault tree of each auxiliary subsystem to be tested, wherein the fault tree comprises a protection function of a design system and possible faults;
analyzing and grading fault tree faults established by each auxiliary subsystem to be tested by combining historical application experience, and dividing fault grades into warning faults, light faults, medium faults and serious faults, wherein the faults with the fault grades more than medium are judged to be terminated;
and summarizing the possible reasons of each fault and the corresponding fault suggestion solution to form a fault knowledge base, and storing the fault knowledge base in a control unit of the corresponding auxiliary subsystem to be tested.
Preferably, the fault is warned: the system work is not influenced, but the relevant maintenance is needed to ensure the long-term normal work of the system;
slight failure: the fault is caused by external conditions, and the system can normally operate as long as the external conditions are met;
medium fault: after the fault occurs, the equipment can try to restart for many times to confirm whether the fault can be recovered;
serious failure: once the situation happens, the safety of the equipment is affected, and the equipment cannot normally operate.
Preferably, during the low-voltage self-test, firstly, the communication states of the train network communication and each auxiliary subsystem to be tested are confirmed, that is:
remotely awakening the train through a central signal system, judging whether the train is successfully awakened or not, and if the train is not successfully awakened, awakening again or stopping awakening;
after the train is successfully awakened, the whole train controls the power input, after a train network system is started, whether the train network communication is normal or not is detected and judged, if the system communication is abnormal in a given time, the train communication self-checking failure is judged, the system with abnormal communication is suggested to be overhauled, a result is fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the result to a central signal system;
after the train network communication is confirmed to be normal, the train network system forwards a low-voltage self-checking command sent by the central signal system to each auxiliary subsystem to be tested, each auxiliary subsystem to be tested judges whether the network communication state is normal or not through a network life signal and a handshake signal respectively and feeds back a result to the train network system, if the train network system does not receive the feedback result of any auxiliary subsystem to be tested within a given time, the auxiliary subsystem to be tested is judged to be abnormal in communication with the train network system, the test is terminated, and the result is fed back to the signal vehicle-mounted controller and sent to the central signal system.
Preferably, in the low-voltage self-checking process, after fault protection detection of the low-voltage state is passed, the sensor null shift detection is further performed on the auxiliary subsystem to be detected, so as to perform sensor health evaluation:
and (3) judging the health degree of the sensor except the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure BDA0002881689390000041
wherein the coefficient M1 is less than M2, the zero drift detection value of the sensor is M, and the measurement range of the sensor is S;
average value of fresh air temperature sensor measurement values of all air conditioners of the train acquired by a train network system
Figure BDA0002881689390000042
And as a reference value, judging the health degree of the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure BDA0002881689390000051
wherein T0< T1, and the detection value of the zero drift of the sensor is M;
in the health degree rating, the grade A shows that the performance of the detection sensor is good; the grade B shows that the performance of the sensor is poor, the current application is not influenced, but the precision of the sensor needs to be verified after the sensor returns to the library; and C level indicates that the sensor deviation is too large to meet the application requirement.
Preferably, after the train is powered on at a high voltage, the auxiliary inverters and the charger enter a test state, a start enabling signal is set to be one, control units of all the auxiliary inverters and the charger of the train automatically judge whether the start can be completed within a given time and the fault above any medium fault level is not detected, if the test item point is not met, the test is terminated, and a test result and a fault suggestion solution matched in a fault knowledge base are fed back to the signal vehicle-mounted controller and sent to the central signal system.
Preferably, if the auxiliary inverter adopts a forced air cooling mode, the blocking condition of the filter screen is detected through pressure sensors arranged inside and outside the air inlet, and the pressure sensor tests the pressure difference between the air inlet and the external environment; in the type test stage, a fan pressure standard database is established according to the measured pressure difference value of the pressure sensor of the fan at each level of rotating speed;
after the fan stably runs during self-checking of the auxiliary inverter, the value measured by the pressure sensor is P, and a standard pressure value P corresponding to the level position of the fan is selected from a fan pressure standard databaseAAnd (3) judging the health degree of the pressure sensor for a reference value:
Figure BDA0002881689390000052
wherein the coefficient n1 is less than n2, and in the health degree rating, the A grade shows that the cleanliness of the air inlet filter screen is good; the grade B shows that the cleanliness of the filter screen of the air inlet is poor, the current application is not influenced, but the filter screen needs to be cleaned after being returned to the warehouse; the grade C shows that the cleanliness of the filter screen of the air inlet is poor and cannot meet the application requirement.
Preferably, after the auxiliary inverter and the charger are successfully started, the air compressor enters a high-voltage self-checking mode: the air compressor enters a test state after receiving a high-pressure test instruction, if the total wind pressure is detected not to reach a set pressure threshold value within a given time, the air compressor is judged to fail in test, and a test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller and sent to a central signal system;
and if the states of the air compressors of the train are normal and the total wind pressure in the given time is detected to reach the set pressure threshold, judging that the air compressors work normally.
Preferably, after the auxiliary inverter and the charger are successfully started, the air conditioner enters a high-voltage self-checking mode: the air conditioner enters a test state after receiving a high-pressure test instruction, and performs a full-cold or full-warm mode test according to seasonal air conditioner requirements to test whether the functions of main parts of the air conditioner are normal or not; under the condition that the function test of main parts of the air conditioner is normal, the target temperature and the operation mode of the air conditioner are automatically set according to the temperature information inside and outside the passenger room, the air conditioner is enabled to continuously operate for a certain time to judge whether an operation fault occurs, if the operation fault occurs, the test failure is judged, the test result and the fault suggestion solution matched in the fault knowledge base are fed back to the signal vehicle-mounted controller and sent to the central signal system.
Preferably, after the auxiliary inverter and the charger are successfully started, the BMS battery management system enters a high-voltage self-checking mode: after the BMS storage battery management system enters a high-voltage test state, firstly, the current charging state of the storage battery is detected, whether the working matching of a charger and the storage battery is normal or not is judged, if the working matching is abnormal, the test is terminated, the test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the test result and the fault suggestion solution to a central signal system;
after the charger and the storage battery are normally matched in work, the train network system compares storage battery temperature, charging voltage and charging current parameters respectively measured by the BMS and the charger at the same time to carry out deviation checking, and the health degree of the sensor is judged according to the following standards:
Figure BDA0002881689390000071
the coefficient k0 is less than k1, the real-time detection value of a charger sensor is R, and the real-time detection value of a sensor of the BMS storage battery management system is T; in the health degree rating, the A level shows that the deviation of the sensors of the BMS storage battery management system and the charger system is very small; the B level shows that the deviation between the BMS storage battery management system and a charger system is large, the current application is not influenced, but the BMS storage battery management system needs to be calibrated after being returned to the storage; the C level indicates that the deviation between the BMS storage battery management system and the charger system is large, and the application requirements cannot be met.
Compared with the prior art, the invention has the advantages and positive effects that:
the invention provides a more efficient, more comprehensive and more intelligent auxiliary system self-checking method suitable for an unmanned train, which integrates auxiliary subsystems related to functions to carry out patterned detection, provides a corresponding fault suggestion solution for the fault problem by establishing a fault knowledge base of each auxiliary subsystem and matching the fault knowledge base, can obviously improve the operation efficiency, reduce the labor cost and the time cost and does not need to additionally increase hardware. Meanwhile, the system self-checking depends on the dispatching of a signal vehicle-mounted controller and a train network system, the interaction among auxiliary subsystems in the generalized auxiliary system is realized, the detection efficiency is improved, the normal working logic of each auxiliary subsystem is slightly changed, and the control logic of each system does not need to be greatly changed; meanwhile, an equipment health concept is given according to engineering application experience, the health evaluation of components such as a sensor and a filter screen can be used for judging the availability of the system under the condition of no fault, the components which possibly cause the system fault in a short period are identified in advance and maintained, and the components are in accordance with the development backgrounds of the current unmanned train, the intelligent operation and maintenance technology and the like, so that higher-quality operation service is obtained at lower cost.
Drawings
FIG. 1 is a general block diagram of an auxiliary system self-checking system for an unmanned train according to the present invention;
FIG. 2 is a schematic diagram of fault knowledge base establishment and application;
FIG. 3 is a low voltage self test flow chart;
fig. 4 is a high voltage self-test flow chart.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings.
In order to overcome the defects of the existing self-checking measures for the unmanned train, the invention combines auxiliary subsystems to be tested into a generalized train auxiliary system according to the train function correlation, fully integrates the subsystems, obtains the health degree of the auxiliary system of the train by establishing a fault knowledge base of each auxiliary subsystem and combining respective self-checking results, and provides corresponding operation suggestions.
Specifically, the hardware architecture of the self-checking system is shown in fig. 1, and the self-checking system includes a central signal system, a wired backbone network, a train-ground wireless communication system, a signal vehicle-mounted controller, a train network system, and auxiliary subsystems to be tested, after a train is successfully waken up, the central signal system issues a train self-checking instruction, the train self-checking instruction is sent out through the wired backbone network of a dispatching center and sent to the signal vehicle-mounted controller through the train-ground wireless communication system, the signal vehicle-mounted controller interactively communicates with the auxiliary subsystems to be tested through the train network system, and a control unit of each auxiliary subsystem to be tested receives the central signal system instruction to perform self-checking. In the embodiment, the auxiliary inverter, the charger, the air conditioner, the BMS battery management system and the air compressor waiting-to-be-measured auxiliary subsystem form an auxiliary system, and each auxiliary subsystem comprises a respective control unit for realizing related control and system functions. The described system corresponds to the self-checking method of the auxiliary system of the unmanned train provided by the invention, and is used as a hardware support for implementation.
The self-checking strategy provided by the invention is divided into two modes of low-voltage self-checking and high-voltage self-checking, wherein in the low-voltage self-checking, the network communication, low-voltage faults and sensor precision of a system are mainly checked, and health degree ratings of related equipment are given to form a test result; in the high-voltage self-checking, whether the operation function of each subsystem meets the operation requirement is mainly verified, meanwhile, the functions of judging the cleanliness of a filter screen of the forced air cooling auxiliary inverter, judging the deviation of a sensor related to the charging of a storage battery and the like are provided, and corresponding health degree grades are provided to form a test result. In the self-checking process, if any fault is more than medium, the vehicle is not allowed to be operated on line, and if no fault is more than medium, the auxiliary system passes the self-checking condition. After the conditions are met, the health degree rating of the relevant devices can be given in the self-checking result of the auxiliary system, and if the health degree rating has a C grade, the system can not meet the operation requirement, and relevant maintenance or sensor verification operation needs to be executed; when the level B exists, the system is indicated to have an item needing to be maintained, but the current operation is not influenced, and the maintenance can be carried out after the operation is finished; and when the system grades are all A grades, the system health degree is high, and the operation requirement is completely met. The self-checking method specifically comprises the following steps:
an auxiliary system self-checking method suitable for an unmanned train comprises the following steps:
(1) in order to judge the system self-checking result, establishing a fault knowledge base of each auxiliary subsystem to be tested: the schematic diagram of establishing and applying the fault knowledge base is shown in fig. 2, each auxiliary subsystem to be tested is analyzed, and a fault tree of each auxiliary subsystem to be tested is established, wherein the fault tree comprises a protection function of a design system and possible faults;
analyzing and grading fault trees established by each auxiliary subsystem to be tested by combining historical application experience, and dividing the fault grades into warning faults, light faults, medium faults and serious faults, wherein if the faults are more than the medium fault grade, the test is judged to be terminated; wherein, warning the fault: the system work is not influenced, but the relevant maintenance is needed to ensure the long-term normal work of the system; slight failure: the fault is caused by external conditions, and the system can normally operate as long as the external conditions are met; medium fault: after the fault occurs, the equipment can try to restart for many times to confirm whether the fault can be recovered; serious failure: once the situation happens, the safety of the equipment is affected, and the equipment cannot normally operate.
And summarizing the possible reasons of each fault and the corresponding fault suggestion solution to form a fault knowledge base, and storing the fault knowledge base in a control unit of the corresponding auxiliary subsystem to be tested.
(2) Low-voltage self-checking:
firstly, a low-voltage self-checking flow chart is shown in fig. 3, when the low-voltage self-checking is performed, firstly, the communication states of the train network communication and each auxiliary subsystem to be tested are confirmed, namely: remotely awakening the train through a central signal system, judging whether the train is successfully awakened or not, and if the train is not successfully awakened, awakening again or stopping awakening; after the train is successfully awakened, the whole train controls the power input, after a train network system is started, whether the train network communication is normal or not is detected and judged, if the system communication is abnormal in a given time, the train communication self-checking failure is judged, the system with abnormal communication is suggested to be overhauled, a result is fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the result to a central signal system. After the train network communication is confirmed to be normal, the train network system forwards a low-voltage self-checking command sent by the central signal system to each auxiliary subsystem to be tested, each auxiliary subsystem to be tested judges whether the network communication state is normal or not through a network life signal and a handshake signal respectively and feeds back a result to the train network system, if the train network system does not receive the feedback result of any auxiliary subsystem to be tested within a given time, the auxiliary subsystem to be tested is judged to be abnormal in communication with the train network system, the test is terminated, and the result is fed back to the signal vehicle-mounted controller and sent to the central signal system.
When the communication of the train network and the communication of each auxiliary subsystem to be tested are normal, each auxiliary subsystem to be tested enters a low-voltage self-checking mode: and the control unit of each auxiliary subsystem to be tested detects fault protection existing in a low-voltage state, performs fault matching with the established fault knowledge base, terminates the test if a fault of a fault grade meeting the test termination condition is detected, feeds back the test result and the fault suggestion solution matched in the fault knowledge base to the signal vehicle-mounted controller, and sends the test result and the fault suggestion solution to the central signal system.
And thirdly, in the process of low-voltage self-checking, after fault protection detection of the low-voltage state is passed, further performing sensor null shift detection on the auxiliary subsystem to be detected so as to judge the health degree of the sensor:
and (3) judging the health degree of the sensor except the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure BDA0002881689390000111
in the present embodiment, the coefficient M1 is less than M2, the sensor zero drift detection value is M, the sensor measurement range is S, and M1 and M2 may specifically take the values of M1-3 and M2-5.
Average value of fresh air temperature sensor measurement values of all air conditioners of the train acquired by a train network system
Figure BDA0002881689390000112
And as a reference value, judging the health degree of the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure BDA0002881689390000113
where T0< T1, and the detected value of the sensor zero drift is M, in this embodiment, T0 and T1 may specifically take the values of T0-5 and T1-10.
In the health degree rating, the grade A shows that the performance of the detection sensor is good; the grade B shows that the performance of the sensor is poor, the current application is not influenced, but the precision of the sensor needs to be verified after the sensor returns to the library; and C level indicates that the sensor deviation is too large to meet the application requirement.
After the sensor verification is completed, the system low-voltage self-checking is finished, each auxiliary subsystem sends the test result and the fault suggestion solution matched in the fault knowledge base to the train network system, the test result and the fault suggestion solution are sent to the central signal system through the train network system for reference, and if any one sensor health degree of the train auxiliary system is rated as the C level, the train needs to quit the self-checking and corresponding maintenance is executed.
(3) High-voltage self-checking:
when the low-voltage self-check of the auxiliary system is finished and the item point causing the termination of the test does not exist, the central signal system sends a high-voltage self-check instruction to the signal vehicle-mounted controller, and the vehicle-mounted controller forwards the instruction to each subsystem through the network system. In the high-voltage test, other auxiliary subsystems depend on an auxiliary inverter and a charger, so that after the auxiliary inverter and the charger are started, the auxiliary subsystems to be tested except the auxiliary inverter and the charger can execute high-voltage self-test. As shown in fig. 4, the respective inspection flow chart specifically includes the following steps:
firstly, after the train is electrified at high voltage, the auxiliary inverters and the charger enter a test state, signals are enabled, control units of all the auxiliary inverters and the charger of the train automatically judge whether the starting is finished in given time and faults above any medium fault level are not detected, if the test item point is not met, the test is terminated, the test result and a fault suggestion solution matched in a fault knowledge base are fed back to the signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the test result and the fault suggestion solution to a central signal system.
If the auxiliary inverter adopts a forced air cooling mode, detecting the blocking condition of the filter screen through pressure sensors arranged inside and outside the air inlet, and testing the pressure difference value between the air inlet and the external environment through the pressure sensors; in the type test stage, a fan pressure standard database is established according to the measured pressure difference value of the pressure sensor of the fan at each level of rotating speed;
after the fan stably runs during self-checking of the auxiliary inverter, the value measured by the pressure sensor is P, and a standard pressure value P corresponding to the level position of the fan is selected from a fan pressure standard databaseAAnd (3) judging the health degree of the pressure sensor for a reference value:
Figure BDA0002881689390000131
in this embodiment, the coefficient n1 is less than n2, and n1 and n2 may specifically take the values of n 1-45 and n 2-65.
In the health degree rating, the A grade shows that the cleanliness of the filter screen of the air inlet is good; the grade B shows that the cleanliness of the filter screen of the air inlet is poor, the current application is not influenced, but the filter screen needs to be cleaned after being returned to the warehouse; the grade C shows that the cleanliness of the filter screen of the air inlet is poor and cannot meet the application requirement.
After the auxiliary inverter and the charger are started successfully, the train network system sends the states of the auxiliary inverter and the charger to the signal vehicle-mounted controller, the signal vehicle-mounted controller sends a high-voltage test instruction to other auxiliary subsystems, an air compressor, an air conditioner and a BMS storage battery management system except the auxiliary inverter and the charger in the auxiliary subsystem to be tested enter a high-voltage self-checking mode, and the self-checking processes of the different auxiliary subsystems are executed in parallel, specifically:
air compressor machine high pressure self-checking: the air compressor enters a test state after receiving a high-pressure test instruction, if the total wind pressure is detected not to reach a set pressure threshold value within a given time, the air compressor is judged to fail in test, and a test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller and sent to a central signal system; and if the states of the air compressors of the train are normal and the total wind pressure in the given time is detected to reach the set pressure threshold, judging that the air compressors work normally.
Air conditioner high pressure self-checking: the air conditioner enters a test state after receiving a high-pressure test instruction, and performs a full-cold or full-warm mode test according to seasonal air conditioner requirements to test whether the functions of main parts of the air conditioner are normal or not; under the condition that the function test of main parts of the air conditioner is normal, the target temperature and the operation mode of the air conditioner are automatically set according to the temperature information inside and outside the passenger room, the air conditioner is enabled to continuously operate for a certain time to judge whether an operation fault occurs, if the operation fault occurs, the test failure is judged, the test result and the fault suggestion solution matched in the fault knowledge base are fed back to the signal vehicle-mounted controller and sent to the central signal system.
BMS battery management system high-voltage self-checking: after the BMS storage battery management system enters a high-voltage test state, firstly, the current charging state of the storage battery is detected, whether the working matching of a charger and the storage battery is normal or not is judged, if the working matching is abnormal, the test is terminated, the test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the test result and the fault suggestion solution to a central signal system;
after the charger and the storage battery are normally matched in work, the train network system compares storage battery temperature, charging voltage and charging current parameters respectively measured by the BMS and the charger at the same time to carry out deviation checking, and the health degree of the sensor is judged according to the following standards:
Figure BDA0002881689390000141
wherein the coefficient k0 is < k1, and the specific values of k0 and k1 in this embodiment are k 0-3 and k 1-4; the real-time detection value of the charger sensor is R, and the real-time detection value of the sensor of the BMS storage battery management system is T.
In the health degree rating, the A level shows that the deviation of the sensors of the BMS storage battery management system and the charger system is very small; the B level shows that the deviation between the BMS storage battery management system and a charger system is large, the current application is not influenced, but the BMS storage battery management system needs to be calibrated after being returned to the storage; the C level indicates that the deviation between the BMS storage battery management system and the charger system is large, and the application requirements cannot be met.
After the high-voltage self-checking of each auxiliary subsystem is finished, the comprehensive test result of the train network system and a fault suggestion solution matched with the fault knowledge base are fed back to the signal vehicle-mounted controller, and are transmitted and uploaded to the central signal system, and the next operation is confirmed by workers. And finishing the self-checking of the auxiliary system.
In conclusion, the self-checking method for the auxiliary system of the unmanned train, provided by the invention, integrates all auxiliary subsystems of the train according to the functional relevance, integrates the auxiliary subsystems related to the functions for carrying out the patterned detection, carries out the static self-checking of the train by using the generalized auxiliary system, and carries out the system availability judgment according to the clear indexes without manual participation. Meanwhile, a fault knowledge base is established according to engineering application experience and stored in each auxiliary subsystem control unit, extra hardware is not needed, and after a fault occurs in the self-checking process, a test result and a fault suggestion solution matched with the fault knowledge base can be fed back to a central signal system, so that coordinated processing of operation scheduling personnel is facilitated, the response speed is accelerated, the operation efficiency can be obviously improved, and the labor cost and the time cost are reduced; meanwhile, the system self-checking depends on the dispatching of a signal vehicle-mounted controller and a train network system, the interaction among auxiliary subsystems in the generalized auxiliary system is realized, the detection efficiency is improved, the normal working logic of each subsystem is slightly changed, and the control logic of each system does not need to be greatly changed; meanwhile, an equipment health concept is given according to engineering application experience, the health evaluation of components such as a sensor and a filter screen can be used for judging the availability of the system under the condition of no fault, the components which possibly cause the system fault in a short period are identified in advance and maintained, the components are in accordance with the development background of the current unmanned train and intelligent operation and maintenance technology, and better operation service is obtained at lower cost.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention.

Claims (11)

1. An auxiliary system self-checking method suitable for an unmanned train is characterized by comprising the following steps:
establishing a fault knowledge base of each auxiliary subsystem to be tested;
when the communication of the train network and the communication of each auxiliary subsystem to be tested are normal, each auxiliary subsystem to be tested enters a low-voltage self-checking mode: the control unit of each auxiliary subsystem to be tested detects fault protection existing in a low-voltage state, performs fault matching with the established fault knowledge base, terminates the test if faults meeting the fault level of the test termination condition exist, feeds back the test result and the fault suggestion solution matched in the fault knowledge base to the signal vehicle-mounted controller, and sends the test result and the fault suggestion solution to the central signal system;
if the low-voltage self-check of the system is normal, each auxiliary subsystem to be tested enters a high-voltage self-check mode: the auxiliary inverter and the charger are subjected to self-checking preferentially; after the auxiliary inverter and the charger are started successfully, the auxiliary subsystems to be tested except the auxiliary inverter and the charger enter a high-voltage self-checking mode, the control units of the auxiliary subsystems to be tested execute a high-voltage self-checking process in parallel, and feed back a test result and a fault suggestion solution matched in a fault knowledge base to a signal vehicle-mounted controller and send the test result and the fault suggestion solution to a central signal system;
in the low-voltage self-checking process, after fault protection detection of the low-voltage state is passed, the sensor null shift detection is further carried out on the auxiliary subsystem to be detected so as to judge the health degree of the sensor:
and (3) judging the health degree of the sensor except the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure FDA0003377648920000011
wherein the coefficient M1 is less than M2, the zero drift detection value of the sensor is M, and the measurement range of the sensor is S;
average value of fresh air temperature sensor measurement values of all air conditioners of the train acquired by a train network system
Figure FDA0003377648920000021
And as a reference value, judging the health degree of the temperature sensor of the auxiliary subsystem to be tested according to the following standards:
Figure FDA0003377648920000022
wherein T0< T1, and the detection value of the zero drift of the sensor is M;
in the health degree rating, the grade A shows that the performance of the detection sensor is good; the grade B shows that the performance of the sensor is poor, the current application is not influenced, but the precision of the sensor needs to be verified after the sensor returns to the library; and C level indicates that the sensor deviation is too large to meet the application requirement.
2. The self-checking method of the auxiliary system suitable for the unmanned train as claimed in claim 1, wherein the method for establishing the fault knowledge base of each auxiliary subsystem to be tested comprises:
analyzing each auxiliary subsystem to be tested, and establishing a fault tree of each auxiliary subsystem to be tested, wherein the fault tree comprises a protection function of a design system and possible faults;
analyzing and grading fault tree faults established by each auxiliary subsystem to be tested by combining historical application experience, and dividing fault grades into warning faults, light faults, medium faults and serious faults, wherein the faults with the fault grades more than medium are judged to be terminated;
and summarizing the possible reasons of each fault and the corresponding fault suggestion solution to form a fault knowledge base, and storing the fault knowledge base in a control unit of the corresponding auxiliary subsystem to be tested.
3. The auxiliary system self-checking method for the unmanned train as claimed in claim 2, wherein the warning fault comprises: the system work is not influenced, but the relevant maintenance is needed to ensure the long-term normal work of the system;
slight failure: the fault is caused by external conditions, and the system can normally operate as long as the external conditions are met;
medium fault: after the fault occurs, the equipment can try to restart for many times to confirm whether the fault can be recovered;
serious failure: once the situation happens, the safety of the equipment is affected, and the equipment cannot normally operate.
4. The self-checking method of the auxiliary system suitable for the unmanned train as claimed in claim 1, wherein during the low-voltage self-checking, firstly, the communication state of the train network communication and each auxiliary subsystem to be tested is confirmed, that is:
remotely awakening the train through a central signal system, judging whether the train is successfully awakened or not, and if the train is not successfully awakened, awakening again or stopping awakening;
after the train is successfully awakened, the whole train controls the power input, after a train network system is started, whether the train network communication is normal or not is detected and judged, if the system communication is abnormal in a given time, the train communication self-checking failure is judged, the system with abnormal communication is suggested to be overhauled, a result is fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the result to a central signal system;
after the train network communication is confirmed to be normal, the train network system forwards a low-voltage self-checking command sent by the central signal system to each auxiliary subsystem to be tested, each auxiliary subsystem to be tested judges whether the network communication state is normal or not through a network life signal and a handshake signal respectively and feeds back a result to the train network system, if the train network system does not receive the feedback result of any auxiliary subsystem to be tested within a given time, the auxiliary subsystem to be tested is judged to be abnormal in communication with the train network system, the test is terminated, and the result is fed back to the signal vehicle-mounted controller and sent to the central signal system.
5. The self-checking method of the auxiliary system suitable for the unmanned train as claimed in claim 1, wherein after the train is powered on at a high voltage, the auxiliary inverters and the charger enter a test state, a start enable signal is set to one, the control units of all the auxiliary inverters and the charger of the train automatically judge whether the start can be completed within a given time and the fault above any medium fault level is not detected, if the test item point is not met, the test is terminated, and the test result and the fault suggestion solution matched in the fault knowledge base are fed back to the signal vehicle-mounted controller and sent to the central signal system.
6. The self-checking method of the auxiliary system suitable for the unmanned train as claimed in claim 5, wherein if the auxiliary inverter adopts a forced air cooling mode, the blocking condition of the filter screen is detected by a pressure sensor arranged inside and outside the air inlet, and the pressure sensor tests the pressure difference between the air inlet and the external environment; in the type test stage, a fan pressure standard database is established according to the measured pressure difference value of the pressure sensor of the fan at each level of rotating speed;
after the fan stably runs during self-checking of the auxiliary inverter, the value measured by the pressure sensor is P, and a standard pressure value P corresponding to the level position of the fan is selected from a fan pressure standard databaseAAnd (3) judging the health degree of the pressure sensor for a reference value:
Figure FDA0003377648920000041
wherein the coefficient n1 is less than n2, and in the health degree rating, the A grade shows that the cleanliness of the air inlet filter screen is good; the grade B shows that the cleanliness of the filter screen of the air inlet is poor, the current application is not influenced, but the filter screen needs to be cleaned after being returned to the warehouse; the grade C shows that the cleanliness of the filter screen of the air inlet is poor and cannot meet the application requirement.
7. The auxiliary system self-checking method suitable for the unmanned train as claimed in claim 1, wherein after the auxiliary inverter and the charger are successfully started, the air compressor enters a high-voltage self-checking mode: the air compressor enters a test state after receiving a high-pressure test instruction, if the total wind pressure is detected not to reach a set pressure threshold value within a given time, the air compressor is judged to fail in test, and a test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller and sent to a central signal system;
and if the states of the air compressors of the train are normal and the total wind pressure in the given time is detected to reach the set pressure threshold, judging that the air compressors work normally.
8. The auxiliary system self-checking method suitable for the unmanned train as claimed in claim 1, wherein after the auxiliary inverter and the charger are successfully started, the air conditioner enters a high voltage self-checking mode: the air conditioner enters a test state after receiving a high-pressure test instruction, and performs a full-cold or full-warm mode test according to seasonal air conditioner requirements to test whether the functions of main parts of the air conditioner are normal or not; under the condition that the function test of main parts of the air conditioner is normal, the target temperature and the operation mode of the air conditioner are automatically set according to the temperature information inside and outside the passenger room, the air conditioner is enabled to continuously operate for a certain time to judge whether an operation fault occurs, if the operation fault occurs, the test failure is judged, the test result and the fault suggestion solution matched in the fault knowledge base are fed back to the signal vehicle-mounted controller and sent to the central signal system.
9. The auxiliary system self-checking method suitable for the unmanned train as claimed in claim 1, wherein after the auxiliary inverter and the charger are successfully started, the BMS battery management system enters a high voltage self-checking mode: after the BMS storage battery management system enters a high-voltage test state, firstly, the current charging state of the storage battery is detected, whether the working matching of a charger and the storage battery is normal or not is judged, if the working matching is abnormal, the test is terminated, the test result and a fault suggestion solution matched in a fault knowledge base are fed back to a signal vehicle-mounted controller, and the signal vehicle-mounted controller sends the test result and the fault suggestion solution to a central signal system;
after the charger and the storage battery are normally matched in work, the train network system compares storage battery temperature, charging voltage and charging current parameters respectively measured by the BMS and the charger at the same time to carry out deviation checking, and the health degree of the sensor is judged according to the following standards:
Figure FDA0003377648920000051
the coefficient k0 is less than k1, the real-time detection value of a charger sensor is R, and the real-time detection value of a sensor of the BMS storage battery management system is T; in the health degree rating, the A level shows that the deviation of the sensors of the BMS storage battery management system and the charger system is very small; the B level shows that the deviation between the BMS storage battery management system and a charger system is large, the current application is not influenced, but the BMS storage battery management system needs to be calibrated after being returned to the storage; the C level indicates that the deviation between the BMS storage battery management system and the charger system is large, and the application requirements cannot be met.
10. An auxiliary system self-checking system suitable for an unmanned train is characterized in that the auxiliary system self-checking method suitable for the unmanned train as claimed in any one of claims 1 to 9 is adopted, and the auxiliary system self-checking system comprises a central signal system, a wired backbone network, a train-ground wireless communication system, a signal vehicle-mounted controller, a train network system and an auxiliary subsystem to be tested;
after the train is successfully awakened, the central signal system issues a train self-checking instruction, the train self-checking instruction is sent out through a wired backbone network of the dispatching center and is sent to the signal vehicle-mounted controller through the train-ground wireless communication system, the signal vehicle-mounted controller is in interactive communication with each auxiliary subsystem to be tested through the train network system, and a control unit of each auxiliary subsystem to be tested receives the central signal system instruction to perform self-checking.
11. The auxiliary system self-inspection system suitable for the unmanned train of claim 10, wherein the auxiliary subsystem to be tested comprises an auxiliary inverter, a charger, an air conditioner, a BMS battery management system, and an air compressor.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110949450A (en) * 2018-09-26 2020-04-03 株洲中车时代电气股份有限公司 Self-checking method for orthogonal traction system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
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CN205800811U (en) * 2016-07-21 2016-12-14 北京新能源汽车股份有限公司 Electric automobile driving state power-on and power-off control system and electric automobile
CN106681307A (en) * 2017-01-20 2017-05-17 湖北文理学院 Fault control method of novel energy automobile and system thereof
GB2599247A (en) * 2019-05-03 2022-03-30 Barventory Corp System and method for management of substances
CN111634308A (en) * 2020-05-20 2020-09-08 中车青岛四方车辆研究所有限公司 Remote start control method for train

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110949450A (en) * 2018-09-26 2020-04-03 株洲中车时代电气股份有限公司 Self-checking method for orthogonal traction system

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