CN108333450B - 350KM standard motor train unit instability detection method and device - Google Patents
350KM standard motor train unit instability detection method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for detecting instability of a 350KM standard motor train unit, wherein the device comprises a stable sensor, an instability sensor, a stable data preprocessing unit, an instability data preprocessing unit, a stable data processing unit, an instability data processing unit, a communication unit and a power supply unit; the stationary sensor, the stationary data preprocessing unit and the stationary data processing unit are sequentially in communication connection; the instability sensor, the instability data preprocessing unit and the instability data processing unit are sequentially in communication connection; and the signal output ends of the stable data processing unit and the unstable data processing unit are connected with the signal input end of the communication unit. The stable working conditions of the train in the transverse direction, the vertical direction and the longitudinal direction and the transverse instability working conditions are judged, and corresponding records are carried out on the working conditions when stable alarming and instability pre-alarming are generated, so that data analysis is facilitated.
Description
Technical Field
The invention belongs to the technical field of electrical detection, and particularly relates to a method and a device for detecting instability of a 350KM standard motor train unit.
Background
With the rapid development of high-speed trains, a plurality of train accidents occur around the world, and the online monitoring of the high-speed trains, particularly the online monitoring of the walking shape department, is more and more emphasized at home and abroad. Various sensors are arranged on a bogie in foreign countries such as Europe and Japan to monitor and record whether the vehicle has snaking movement and changes of other dynamic parameters in the running process in real time, wherein the AEA in the UK is provided with the sensor for monitoring the vibration condition of the vehicle; banbadi, France, is focusing on studying the BCM-System, i.e., the "bogie Condition monitoring System". In China, the CRH2 motor train unit is provided with a bogie instability detection device (BIDS) for Kawasaki heavy industry in Japan, the vibration state of a bogie in the running process of a train is monitored, and the device can send out an alarm signal when hunting instability occurs.
However, it still has the following drawbacks:
1. the original data is not stored or is stored too little, and the ground data analysis support degree is not enough.
Although the existing high-speed train instability detection device can collect, process and judge transverse acceleration signals of a train, the analysis support degree of alarm and historical data is not good, for example, instability detection equipment for Kawasaki rework only stores instability data for 1.6s, and part of models even do not record alarm data, for example, an instability detection system of Siemens is integrated in a Brake Control Unit (BCU), and data waveforms are not stored. Uncertain interference and external excitation are mixed in the transverse acceleration signal of the high-speed train, and alarm information is judged only according to single-train monitoring data, so that the false alarm rate of the system is invisibly improved. Meanwhile, because the data storage function is not provided, the real-time data of the train and a ground database cannot be established, so that the transverse comparison of the instability state among the carriages cannot be provided, and the guidance function on ground maintenance is lost. Therefore, the existing hardware platform cannot meet the data analysis requirement on the alarm information.
2. The bogie instability detection device monitors the state of a train bogie in real time, is in a complex environment after being put into use, is easy to be interfered by electromagnetism, an electric field, harmonic waves and the like, and can generate interference on other equipment on the train.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a method and a device for detecting instability of a 350KM standard motor train unit, which are used for judging stable working conditions of a train in the transverse direction, the vertical direction and the longitudinal direction and stable working conditions of the train in the transverse direction, and correspondingly recording the stable alarm, the instability prediction and the working conditions during alarm so as to facilitate data analysis.
The technical scheme adopted by the invention is as follows: the 350KM standard motor train unit instability detection device comprises a stable sensor, an instability sensor, a stable data preprocessing unit, an instability data preprocessing unit, a stable data processing unit, an instability data processing unit, a communication unit and a power supply unit; the signal output end of the stationary sensor is connected with the signal input end of the stationary data preprocessing unit, and the signal output end of the stationary data preprocessing unit is connected with the signal input end of the stationary data processing unit; the signal output end of the instability sensor is connected with the signal input end of the instability data preprocessing unit, and the signal output end of the instability data preprocessing unit is connected with the signal input end of the instability data processing unit; the signal output ends of the stable data processing unit and the unstable data processing unit are connected with the signal input end of the communication unit; and the power output end of the power supply unit is respectively connected with the power input ends of the steady data preprocessing unit, the unstability data preprocessing unit, the steady data processing unit, the unstability data processing unit and the communication unit.
Preferably, the stationary data preprocessing unit comprises a first LC filtering module, a first current-to-voltage conversion module and a first amplification acquisition module which are sequentially in communication connection; and the signal output end of the stationary sensor is connected with the signal input end of the first LC filtering module.
Preferably, the smooth data processing unit comprises a first MCU processor, and a first clock module, a first data storage module and a first data download module which are in communication connection with the first MCU processor; and the signal output end of the first amplification acquisition module is connected with the signal input end of the first MCU processor.
Preferably, the instability data preprocessing unit comprises a second LC filtering module, a second current-to-voltage conversion module and a second amplification acquisition module which are sequentially in communication connection; and the signal output end of the instability sensor is connected with the signal input end of the second LC filtering module.
Preferably, the destabilizing data processing unit comprises a second MCU processor, and a second clock module, a second data storage module and a second data download module which are in communication connection with the second MCU processor; and the signal output end of the second amplification acquisition module is connected with the signal input end of the second MCU processor.
Preferably, the communication unit comprises an ARM communication controller, and a CAN communication module, an RS485 communication module and an MVB communication module connected to the ARM communication controller.
Preferably, the power supply unit includes a 110V power supply, an input filter protection circuit, a DC TO DC isolation module, and an output filter protection circuit, which are connected in sequence.
The invention also discloses a detection method of the instability detection device of the motor train unit based on the 350KM standard, which comprises the following steps:
A. initializing hardware, and carrying out self-checking on a stable sensor and an unstable sensor to generate a self-checking file;
B. acquiring acceleration analog signals by using a steady sensor and a destabilization sensor;
C. the steady data preprocessing unit and the instability data preprocessing unit respectively preprocess the acquired steady data and the acquired instability data, send the processed data to the steady data processing unit and the instability data processing unit for algorithm diagnosis, and perform preprocessing and alarm processing according to diagnosis results;
D. and the communication unit receives the algorithm diagnosis result and the pre-warning and alarming results and sends the algorithm diagnosis result and the pre-warning and alarming results to the upper computer for displaying.
Preferably, the following process is further included after the step C: storing the characteristic data and the alarm data into a flash, reading and storing the characteristic data and the alarm data by a USB (universal serial bus), and importing the characteristic data and the alarm data into computer unpacking software for unpacking analysis; and storing the characteristic data and the alarm data into the SD card, and importing the characteristic data and the alarm data into computer unpacking software for unpacking and analyzing.
The invention has the beneficial effects that:
(1) the system can acquire, process and judge the transverse acceleration signals of the vehicle in real time, simultaneously store characteristic data in real time, store original data 5min before the unstable data processing unit gives an early warning, and store original data in the period from the alarm generation of the stable data processing unit to the alarm release; through the two storage modes, real-time data of the train and a ground database can be effectively established, relevant data analysis is carried out on specific working conditions and severity of the bogie when snake-shaped instability occurs, and effective data support is provided for further exploration of essential reasons of the snake-shaped instability of the bogie of the high-speed train.
(2) The stable data preprocessing unit and the unstable data preprocessing unit adopt high-quality filtering and isolating circuit design, and lay a foundation for rear-end signal processing.
The steady sensor and the instability sensor respectively output current signals to the steady data preprocessing unit and the instability data preprocessing unit through signal changes of the acquired signals, the current signals are output signals of 4-20mA, the anti-interference capability is high, and the method can adapt to industrial fields with serious interference. After receiving the signals, the steady data preprocessing unit or the unstable data preprocessing unit carries out preceding stage filtering processing, the filter circuit adopts an LC filter circuit design to filter out interference such as field electromagnetism, an electric field, harmonic waves and the like, simultaneously, the TVS diode is combined to well inhibit strong voltage interference from the environment, common mode and differential mode interference are effectively inhibited, useful signals are effectively input into the subsequent stage conversion processing, and the precision and the accuracy of the input signals are greatly improved; clean voltage signals are converted and output through the T1630P, the T1630P is a multi-path isolation module, signal input, signal output, power input and power output are effectively isolated, isolation voltage can reach 2500V DC, and a post-stage processing circuit is effectively protected.
(3) And a high-quality power supply design is adopted in the power supply unit to ensure the stability of a hardware system.
The power supply module converts a 110V power supply of the train into power supply voltage required by a hardware system and provides required power for the system; the input stage of the device plays a role in current limiting protection for the front stage through the self-recovery fuse, can filter out the interference from a power supply such as a common mode, a differential mode and the like, provides a clean and stable direct current power supply for the DC to DC module URB1D24LMD-20WR3 through the reverse connection preventing diode and the multistage filter circuit, and provides a required direct current power supply for a hardware system through isolation of the URB1D24LMD-20WR 3.
(4) By adopting the method, the characteristic data and the alarm data are stored in the flash and the SD card, so that abundant original data are stored, real-time data of the train and a ground database can be effectively established, and ground data analysis can be effectively supported.
Drawings
Fig. 1 is a circuit configuration diagram of the present system.
Fig. 2 is a schematic front view of a detection host.
Fig. 3 is a data processing flow diagram of the present system.
Fig. 4 is a data processing flow diagram of the smoothing board.
Fig. 5 is a data processing flow chart of the destabilization processing board.
Detailed Description
The invention is further explained below with reference to the drawings and the specific embodiments.
Examples
As shown in fig. 1, the instability detection device for the 350KM standard motor train unit comprises a steady sensor, an instability sensor, a steady data preprocessing unit, an instability data preprocessing unit, a steady data processing unit, an instability data processing unit, a communication unit and a power supply unit; the signal output end of the stationary sensor is connected with the signal input end of the stationary data preprocessing unit, and the signal output end of the stationary data preprocessing unit is connected with the signal input end of the stationary data processing unit; the signal output end of the instability sensor is connected with the signal input end of the instability data preprocessing unit, and the signal output end of the instability data preprocessing unit is connected with the signal input end of the instability data processing unit; the signal output ends of the stable data processing unit and the unstable data processing unit are connected with the signal input end of the communication unit; and the power output end of the power supply unit is respectively connected with the power input ends of the steady data preprocessing unit, the unstability data preprocessing unit, the steady data processing unit, the unstability data processing unit and the communication unit.
The steady data preprocessing unit comprises a first LC filtering module, a first current-to-voltage conversion module and a first amplification acquisition module which are sequentially in communication connection; and the signal output end of the stationary sensor is connected with the signal input end of the first LC filtering module.
The steady data processing unit comprises a first MCU processor, and a first clock module, a first data storage module and a first data downloading module which are in communication connection with the first MCU processor; and the signal output end of the first amplification acquisition module is connected with the signal input end of the first MCU processor.
The instability data preprocessing unit comprises a second LC filtering module, a second current-to-voltage conversion module and a second amplification acquisition module which are sequentially in communication connection; and the signal output end of the instability sensor is connected with the signal input end of the second LC filtering module.
The unstability data processing unit comprises a second MCU processor, and a second clock module, a second data storage module and a second data downloading module which are in communication connection with the second MCU processor; and the signal output end of the second amplification acquisition module is connected with the signal input end of the second MCU processor.
The communication unit comprises an ARM communication controller, a CAN communication module, an RS485 communication module and an MVB communication module, wherein the CAN communication module, the RS485 communication module and the MVB communication module are connected with the ARM communication controller.
The power supply unit comprises a 110V power supply, an input filter protection circuit, a DC TO DC isolation module and an output filter protection circuit which are sequentially connected.
Specifically, the steady data preprocessing unit, the unstability data preprocessing unit, the steady data processing unit, the unstability data processing unit, the communication unit and the power supply unit are all integrated in the detection host, as shown in fig. 2, a steady processing board, a steady interface board, an unstability processing board, a communication board and a power supply board are arranged on the detection host; the steady data preprocessing unit is integrated on the steady interface board, the unstability data preprocessing unit is integrated on the unstability interface board, the steady data processing unit is integrated on the steady processing board, the unstability data processing unit is integrated on the unstability processing board, the communication unit is integrated on the communication board, and the power supply unit is integrated on the power supply board.
The power panel uses a direct current power supply on a train as a main power supply input, power supplies required by all functional board cards of the system are converted through DC TO DC, the core power module adopts an isolation power module URB1D24LMD-20WR3 TO isolate input power and output power supply, an anti-reverse and fuse protection and surge impact protection circuit (comprising surge, EFT and ESD) are added at the input end, and a TVS protection and filter circuit is added at the output end.
The input stage filtering and protecting circuit adopts a filtering and protecting circuit consisting of a fuse, a piezoresistor, a diode and a common mode inductor and provides clean and stable power supply voltage for the isolation module; the circuit is designed to be used for input processing of URB1D24LMD-20WR3, and has the following advantages: isolation voltage 2500 VDC; working temperature range: -40 ℃ to +85 ℃; the input realizes undervoltage protection, and the output realizes short circuit, overcurrent and overvoltage protection; low ripple noise; and the modular design is adopted, so that the maintenance is convenient.
The communication board transmits data after the operation of the stable processing board and the unstable processing board to a train monitoring room, and the ARM communication controller adopts STM32F103 as a main control center of the communication board card; the CAN communication module and the RS485 communication module realize the mutual communication and data transmission among the functional board cards in two communication modes; and the MVB communication module uploads the data.
The steady interface board and the instability interface board respectively realize the pre-stage processing of the detected signals collected by the steady sensor and the instability sensor, adopt a 30Hz anti-aliasing low-pass filtering design, isolate the detection signals from an interface circuit so as not to influence each other, adopt T1630P to realize the isolation of the input and the output of the signals, and convert the received detection signals into useful signals required by the circuit.
And the stable processing board and the unstable processing board both adopt an STM32F407 chip as an operation platform of a software system to finish the core operation processing of the monitoring data. It integrates the functions of RS232, SD card, CAN bus, RS485 bus, LAN and USB. The data can be monitored, diagnosed, alarmed and stored in real time.
The software system realizes real-time detection of the stability, impulse value and instability limit value of the train body in the running process of the motor train unit so as to ensure the safety and comfort of train running. The device adopts an RT-thread3.0 real-time operating system based on an STM32F407 chip, and the system has four threads in the running process, namely self-checking, diagnosis, storage and communication threads. The whole software core algorithm is realized in a diagnosis thread, and the data flow from collection to visual display and the analysis flow are shown in the following figure 3.
1. And (4) self-checking thread description.
After the system is powered on and started, self-checking is firstly carried out. Most system fault related diagnostics are done in this process. The self-checking process CAN detect and judge faults of channels such as RAM, NAND Flash, E2Prom, SDcard, CAN, USB, steady sensors, instability sensors and the like through the steady processing board and the instability processing board, the judgment result of the device faults CAN be correspondingly displayed through an LED lamp of a panel of a detection host computer after the self-checking is finished, and the faults of the sensors CAN be visually displayed to a driver through a detection display interface (an upper computer) of an instability system in a driver's cab through a communication board.
2. And (5) real-time algorithm diagnosis thread description.
The acceleration signal is transmitted to the processing board by the acceleration sensor on the steering frame through the interface board, and is converted into a digital signal by an analog signal. And performing real-time algorithm processing on the signals in the diagnosis threads of the instability processing board and the stability processing board. The stable processing plate is responsible for calculating characteristic parameters of the vehicle body such as longitudinal impulse, transverse stability index, vertical stability index and the like; and the instability processing board calculates characteristic parameters such as a bullet train acceleration peak value, a trailer acceleration peak value and the like. And the obtained characteristic parameters are subjected to pre-alarming judgment processing and alarming judgment processing according to the respective corresponding pre-alarming logic, and the results are displayed in real time. The data processing flow of the smooth processing board is shown in fig. 4, and the data processing flow of the unstable processing board is shown in fig. 5.
The warning information can be displayed in the following two ways:
(1) and the panel of the stable processing plate and the LED lamp on the panel of the unstable processing plate are correspondingly displayed.
(2) The stable processing board and the instability processing board are sent to the communication board through the CAN communication module, and then the communication board is sent to an instability system detection display interface (an upper computer) in the cab through the MVB communication module to be visually displayed to a driver.
The diagnosis result can be directly observed in real time by the client, and can be further analyzed and processed after the file is read by the USB interface.
3. The thread specifications are stored.
In the acquisition process, data are written into a NAND Flash memory of the STM32F407 chip in real time. And calculating the data quantity stored in each block according to the data quantity processed each time and the storage space of each block of the NAND Flash so as to facilitate the reading of the data. And performing analog/digital conversion on the acquired data according to a set format and then sequentially storing the data into each page of each block of the NAND Flash memory.
The USB is inserted into a system interface before the system is electrified, starts to read and store data in the NAND Flash after the system is electrified and completes self-detection, and clears the data stored in the NAND Flash after all the data in the NAND Flash are stored. The USB can store the characteristic data obtained by calculation of the stable processing board and the unstable processing board and the original data before alarming after generating the pre-alarming and alarming information. The two data are stored in different dat files. The storage logic of the two files is as follows:
(1) a new header is added to the file storing the characteristic data after each power-on, and a new file is generated after unpacking;
(2) the pre-alarming data and the alarming data are added with new heads after being electrified every time, and after the pre-alarming and the alarming are finished every time, the pre-alarming and the alarming data can store all the original data before the pre-alarming and the alarming are finished.
The warning data can read the storage USB of the characteristic data from the NAND Flash when the data is read, and one page of data is stored when one page of data is read. During the process of reading data, corresponding indicator lights flash during data interaction.
When the SDcard is inserted into the smooth processing board or the unstable processing board, data is stored not only in the NAND Flash but also in the SDcard each time the data amount reaches a predetermined value.
4. Communication thread description.
The communication types are mainly classified into CAN and MVB:
(1) CAN communication is used as a system internal communication method for realizing data transmission among the stable processing board, the unstable processing board and the communication board.
(2) The communication board realizes communication with the upper computer through an MVB protocol, and transmits equipment fault information, pre-alarm information and the like to the upper computer. When the 1-bit (default) port of the MVB breaks down, the system is automatically switched to the 2-bit (standby) port of the MVB so as to ensure that the communication between the lower computer and the upper computer is normal.
The invention also discloses a detection method of the instability detection device of the motor train unit based on the 350KM standard, which comprises the following steps:
A. initializing hardware, and carrying out self-checking on a stable sensor and an unstable sensor to generate a self-checking file;
B. acquiring acceleration analog signals by using a steady sensor and a destabilization sensor;
C. the steady data preprocessing unit and the instability data preprocessing unit respectively preprocess the acquired steady data and the acquired instability data, send the processed data to the steady data processing unit and the instability data processing unit for algorithm diagnosis, and perform preprocessing and alarm processing according to diagnosis results;
D. and the communication unit receives the algorithm diagnosis result and the pre-warning and alarming results and sends the algorithm diagnosis result and the pre-warning and alarming results to the upper computer for displaying.
Specifically, the following process is further included after the step C: storing the characteristic data and the alarm data into a flash, reading and storing the characteristic data and the alarm data by a USB (universal serial bus), and importing the characteristic data and the alarm data into computer unpacking software for unpacking analysis; and storing the characteristic data and the alarm data into the SD card, and importing the characteristic data and the alarm data into computer unpacking software for unpacking and analyzing.
The present invention is not limited to the above-described alternative embodiments, and various other forms of products can be obtained by anyone in light of the present invention. The above detailed description should not be taken as limiting the scope of the invention, which is defined in the claims, and which the description is intended to be interpreted accordingly.
Claims (3)
1.350KM standard EMUs unstability detection device, its characterized in that: the device comprises a steady sensor, a destabilization sensor, a steady data preprocessing unit, a destabilization data preprocessing unit, a steady data processing unit, a destabilization data processing unit, a communication unit and a power supply unit; the signal output end of the stationary sensor is connected with the signal input end of the stationary data preprocessing unit, and the signal output end of the stationary data preprocessing unit is connected with the signal input end of the stationary data processing unit; the signal output end of the instability sensor is connected with the signal input end of the instability data preprocessing unit, and the signal output end of the instability data preprocessing unit is connected with the signal input end of the instability data processing unit; the signal output ends of the stable data processing unit and the unstable data processing unit are connected with the signal input end of the communication unit; the power output end of the power supply unit is respectively connected with the power input ends of the steady data preprocessing unit, the unstability data preprocessing unit, the steady data processing unit, the unstability data processing unit and the communication unit;
the detection method of the detection device comprises the following steps:
A. initializing hardware, and carrying out self-checking on a stable sensor and an unstable sensor to generate a self-checking file;
B. acquiring acceleration analog signals by using a steady sensor and a destabilization sensor;
C. the steady data preprocessing unit and the instability data preprocessing unit respectively preprocess the acquired steady data and the acquired instability data, send the processed data to the steady data processing unit and the instability data processing unit for algorithm diagnosis, and perform preprocessing and alarm processing according to diagnosis results;
D. the communication unit receives the algorithm diagnosis result and the pre-warning and alarming results and sends the algorithm diagnosis result and the pre-warning and alarming results to the upper computer for displaying;
the stationary data preprocessing unit comprises a first LC filtering module, a first current-to-voltage conversion module and a first amplification acquisition module which are sequentially in communication connection; the signal output end of the stationary sensor is connected with the signal input end of the first LC filtering module;
the steady data processing unit comprises a first MCU processor, and a first clock module, a first data storage module and a first data downloading module which are in communication connection with the first MCU processor; the signal output end of the first amplification acquisition module is connected with the signal input end of the first MCU processor;
the instability data preprocessing unit comprises a second LC filtering module, a second current-to-voltage conversion module and a second amplification acquisition module which are sequentially in communication connection; the signal output end of the instability sensor is connected with the signal input end of the second LC filtering module;
the unstability data processing unit comprises a second MCU processor, and a second clock module, a second data storage module and a second data downloading module which are in communication connection with the second MCU processor; the signal output end of the second amplification acquisition module is connected with the signal input end of the second MCU processor;
the communication unit comprises an ARM communication controller, a CAN communication module, an RS485 communication module and an MVB communication module, wherein the CAN communication module, the RS485 communication module and the MVB communication module are connected with the ARM communication controller;
the power supply unit comprises a 110V power supply, an input filter protection circuit, a DCTODC isolation module and an output filter protection circuit which are sequentially connected.
2. The detection method of the instability detection device of the 350KM standard motor train unit according to claim 1, characterized by comprising the following steps:
A. initializing hardware, and carrying out self-checking on a stable sensor and an unstable sensor to generate a self-checking file;
B. acquiring acceleration analog signals by using a steady sensor and a destabilization sensor;
C. the steady data preprocessing unit and the instability data preprocessing unit respectively preprocess the acquired steady data and the acquired instability data, send the processed data to the steady data processing unit and the instability data processing unit for algorithm diagnosis, and perform preprocessing and alarm processing according to diagnosis results;
D. and the communication unit receives the algorithm diagnosis result and the pre-warning and alarming results and sends the algorithm diagnosis result and the pre-warning and alarming results to the upper computer for displaying.
3. The method for detecting instability of 350KM standard motor train unit according to claim 2, further comprising the following steps after the step C: storing the characteristic data and the alarm data into a flash, reading and storing the characteristic data and the alarm data by a USB (universal serial bus), and importing the characteristic data and the alarm data into computer unpacking software for unpacking analysis; and storing the characteristic data and the alarm data into the SD card, and importing the characteristic data and the alarm data into computer unpacking software for unpacking and analyzing.
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| CN111516711B (en) * | 2019-02-02 | 2021-08-20 | 株洲中车时代电气股份有限公司 | Safety monitoring method and device for running gear of motor train unit |
| CN110320058A (en) * | 2019-08-12 | 2019-10-11 | 成都西交智众科技有限公司 | A kind of portable vehicle running stability analyzer |
| CN110901695A (en) * | 2019-12-06 | 2020-03-24 | 北京华高世纪科技股份有限公司 | Train stability detection system and method |
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| CN104670249B (en) * | 2015-01-31 | 2017-04-19 | 北京华高世纪科技股份有限公司 | Motor train unit bogie instability detection device and realization method |
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Denomination of invention: Method and device for detecting instability of 350KM standard high-speed trains Granted publication date: 20211029 Pledgee: China Construction Bank Corporation Changzhou Huimin sub branch Pledgor: CHANGZHOU LUHANG RAILWAY TRANSPORTATION TECHNOLOGY CO.,LTD. Registration number: Y2024980017307 |