CN112904098A - Health diagnosis device and method for rail transit electrical control screen cabinet - Google Patents

Health diagnosis device and method for rail transit electrical control screen cabinet Download PDF

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Publication number
CN112904098A
CN112904098A CN201911131852.3A CN201911131852A CN112904098A CN 112904098 A CN112904098 A CN 112904098A CN 201911131852 A CN201911131852 A CN 201911131852A CN 112904098 A CN112904098 A CN 112904098A
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health
diagnosis
loop
rail transit
health diagnosis
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Inventor
冯建
王伟
周卫成
梁彦锋
徐溢斐
鞠超越
赵盼磊
郑中尧
阮启果
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Zhuzhou CRRC Times Electric Co Ltd
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Zhuzhou CRRC Times Electric Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/005Testing of electric installations on transport means
    • G01R31/008Testing of electric installations on transport means on air- or spacecraft, railway rolling stock or sea-going vessels

Abstract

The invention discloses a health diagnosis device and method for a rail transit electrical control screen cabinet, wherein the device comprises the following components: the high-speed acquisition circuit is used for sampling the running state information of the real circuit of the rail transit electrical control panel cabinet monitored in real time based on a high-speed sampling rate; the health diagnosis module is connected with the acquisition module, processes the sampled running state information, realizes the health parameter diagnosis of at least one of the voltage, the current, the load characteristic and the device service life of a key loop, and executes corresponding processing based on the health parameter diagnosis result; and the external connection module is connected with the health diagnosis module and outputs the health diagnosis result to external equipment in a plurality of interactive modes. The device can carry out health diagnosis on the electric screen cabinet, improves the microcomputer self-sensing and self-diagnosis capability of the electric screen cabinet, reduces the operation fault and risk of the vehicle, and improves the reliability, the overhaul efficiency and the operation guarantee capability of the system.

Description

Health diagnosis device and method for rail transit electrical control screen cabinet
Technical Field
The invention relates to the technical field of rail transit vehicle control, in particular to a health diagnosis device and method for a rail transit electrical control panel cabinet.
Background
The electric control screen cabinet is an important component of an electric control system of a rail transit vehicle, participates in control functions of power supply, braking, traction and the like of the vehicle, and is an electric connection hub of the whole vehicle.
At present, for monitoring the running state of an electric control screen cabinet of a rail transit vehicle motor train unit, a network system is mainly used for carrying out digital quantity monitoring on auxiliary contacts of related relays in a control loop instead of directly monitoring the actual loop state, and the risk that the auxiliary contacts and an action coil do not act consistently exists. In addition, the network system acquisition scheme is that the primary loop voltage state is acquired for 200ms, and only '0' (0-33V) '1' (77-143V) digital quantity judgment is carried out on the state, so that overvoltage monitoring on intermediate states (34-76V) and >144V and a loop current monitoring function are lacked. Therefore, the problem that the electrical state of accidental electrical faults cannot be really restored exists, and when the network acquires the digital quantity of the loop, the contact of the device just shakes, so that the defects of mistaken acquisition and false alarm are easily caused.
The following failures are easily caused based on the existing monitoring method. Circuit board burning loss trouble: the circuit current of the vehicle is abnormally increased due to load short circuit, insulation breakdown, grounding and the like, but the current value does not reach the action value of the front-stage circuit breaker, so that the problem of circuit board burning caused by heat accumulation effect is caused after the fault lasts for a long time. The fan contactor does not act and fails: after a network system excites a fan contactor coil, if signals of an auxiliary feedback contact of the fan contactor cannot be acquired within 2s, a non-action fault is reported, the motor train unit has multiple faults, but the fault phenomenon does not reappear on the ground due to the fact that the contactor which is changed preventively does not reappear, and therefore the true reason cannot be accurately located.
Disclosure of Invention
One of the technical problems to be solved by the present invention is to provide a health diagnosis device for rail transit electric control cubicles, which can directly monitor the actual loop state and perform health diagnosis for each state of the loop voltage.
In order to solve the above technical problem, an embodiment of the present application firstly provides a health diagnosis device for a rail transit electrical control panel cabinet, the device including: the high-speed acquisition circuit is used for sampling running state information of an actual loop of the rail transit electrical control panel cabinet monitored in real time based on a high-speed sampling rate, and the running state information comprises analog quantity voltage and analog quantity current; the health diagnosis module is connected with the acquisition module, processes the sampled running state information, realizes the health parameter diagnosis of at least one of the voltage, the current, the load characteristic and the device service life of a key loop, and executes corresponding processing based on the health parameter diagnosis result; and the external connection module is connected with the health diagnosis module and outputs the health diagnosis result to external equipment in a plurality of interactive modes.
According to an embodiment of the application, the health diagnosis module performs at least any one of the following diagnostic steps: A. performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults; B. the running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized; C. diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information; D. diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault; E. and counting the action times of the relay and predicting the service life of the relay.
According to an embodiment of the application, the health diagnostic module further performs at least one of the following steps:
recording the waveform and the health diagnosis information of the device at the action moment, and performing file analysis and waveform display through upper computer software; when a fault is determined, fault alarm processing is carried out through multiple interactive modes; the parameter setting of an upper computer is supported, and various device model algorithms with different electrical parameters are configured through the upper computer; and receiving a waveform online monitoring request from the upper computer, extracting the high-frequency acquired health data of the corresponding channel, and sending the health data to the upper computer to realize the waveform online monitoring.
According to one embodiment of the application, the external connection module is in communication connection with the TCMS, a display screen of the rail transit electric control screen cabinet and an audible and visual alarm, and sends the health diagnosis result to the TCMS, the display screen of the rail transit electric control screen cabinet and the audible and visual alarm.
According to another aspect of the present invention, there is also provided a rail transit electrical control panel cabinet, including: the sampling equipment is used for monitoring the running state information of an actual loop of the rail transit electric control screen cabinet in real time to obtain the voltage analog quantity and the current analog quantity of the actual loop; the health diagnostic apparatus as described above; and the display screen and the audible and visual alarm are in communication connection with the health diagnosis device.
According to another aspect of the invention, a health diagnosis method for a rail transit electric control panel cabinet is also provided, and the method comprises the following steps: the method comprises the steps of acquiring information, namely sampling running state information of an actual loop of the rail transit electrical control panel cabinet monitored in real time based on a high-speed sampling rate, wherein the running state information comprises analog quantity voltage and analog quantity current; a health diagnosis step, namely processing the sampled running state information to realize the health parameter diagnosis of at least one of the voltage, the current, the load characteristic and the service life of the device of the key loop; and a result processing step of executing corresponding processing based on the health parameter diagnosis result.
According to an embodiment of the application, in the health diagnosis step, at least any one of the following diagnosis steps is performed: A. performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults; B. the running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized; C. diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information; D. diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault; E. and counting the action times of the relay and predicting the service life of the relay.
According to an embodiment of the application, in the health diagnosis step, at least one of the following steps is further performed: recording the waveform and the health diagnosis information of the device at the action moment, and performing file analysis and waveform display through upper computer software; when a fault is determined, fault alarm processing is carried out through multiple interactive modes; the parameter setting of an upper computer is supported, and various device model algorithms with different electrical parameters are configured through the upper computer; and receiving a waveform online monitoring request from the upper computer, extracting the high-frequency acquired health data of the corresponding channel, and sending the health data to the upper computer to realize the waveform online monitoring.
According to an embodiment of the present application, further comprising: and the display screen and the acousto-optic alarm of the TCMS and the rail transit electric control screen cabinet are in communication connection, and health diagnosis results are sent to the TCMS and the rail transit electric control screen cabinet.
According to another aspect of the present invention, there is also provided a program product having stored thereon program code executable to perform the method steps as described above.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the embodiment of the application can carry out health diagnosis on the electric screen cabinet, improves the microcomputer self-sensing and self-diagnosis capabilities of the electric screen cabinet, reduces vehicle operation faults and risks, and improves the reliability, the overhaul efficiency and the operation guarantee capability of a system. In addition, the device of the embodiment of the application can also communicate with a vehicle network system to effectively supplement the vehicle network system, and can be used for docking a PHM (train PHM) to realize the functions of system-level big data analysis and expert diagnosis. Therefore, the invention has very important function and significance.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure and/or process particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the technology or prior art of the present application and are incorporated in and constitute a part of this specification. The drawings expressing the embodiments of the present application are used for explaining the technical solutions of the present application, and should not be construed as limiting the technical solutions of the present application.
Fig. 1 is a schematic system structure diagram of a rail transit electrical control cabinet including a health diagnosis device according to an embodiment of the present application.
Fig. 2 is a functional block diagram of a health diagnosis module (entity is the CPU core board 110a of fig. 1) for a rail transit electrical control panel cabinet according to an embodiment of the present application.
Fig. 3 is a schematic flow chart of a health diagnosis method for a rail transit electrical control panel cabinet according to an embodiment of the present application.
Fig. 4 is an overall software flow of a health diagnosis method for a rail transit electrical control panel according to a specific example of the present application.
Fig. 5 is a diagram illustrating an example of performing an over-current health diagnosis on a critical circuit by using the health diagnosis apparatus 110 according to an embodiment of the present application.
Fig. 6 is a schematic drawing logic circuit diagram of the rail transit electrical control panel cabinet according to the embodiment of the present application.
Fig. 7 is a schematic diagram of a single board interface according to an embodiment of the present application.
Fig. 8 is a schematic interface diagram of monitoring a load status according to an embodiment of the present application.
Fig. 9 is an interface schematic diagram of a fault entry according to an embodiment of the present application.
Fig. 10 is an interface schematic diagram of the host computer displaying waveform data according to the embodiment of the present application.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the accompanying drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and the features of the embodiments can be combined without conflict, and the technical solutions formed are all within the scope of the present invention.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
The electric screen cabinets in the existing rail transit vehicles and motor trains all adopt pure hardware devices such as relays/contactors and the like as vehicle electric control logic control and execution devices. Due to the lack of sufficient monitoring and diagnosis means, the occasional logic faults are difficult to quickly locate, technicians are required to carry equipment such as oscilloscopes and multimeters for long-time vehicle-mounted tests, real reasons of the faults cannot be found, and measures such as preventive replacement are forced to be taken, so that the maintenance cost is high. These faults become difficult and complicated symptoms of the train, and the problem of train operation cannot be fundamentally solved.
The existing electric control screen cabinet has no self-state monitoring function, cannot record self health state and inform a network of self faults, if the inside of the screen cabinet has faults, the faults can be found only when other system faults are caused, and whether the positioning screen cabinet is abnormal or not needs to be analyzed layer by layer, so that serious potential safety hazards exist in the operation of the whole vehicle. Although the network system collects the feedback states of the auxiliary contacts of most electric devices, the method has short boards with long collection period, incapability of monitoring an actual working loop, incapability of monitoring an electric intermediate state and the like, and the failure of flash reporting cannot be accurately identified and positioned.
In order to solve the above problems, an embodiment of the present invention provides a solution, and in an embodiment of the present invention, a health diagnosis device is installed in a screen cabinet, an operation state of a screen cabinet loop is monitored in real time by using a collection device, and loop state data is collected and processed by using a software diagnosis method, so that diagnosis of health parameters such as key loop voltage, current, load characteristics, device life and the like, waveform recording and online monitoring are realized. When the loop is abnormal, the TCMS and the driver are informed in time through the network, and the crew members can be reminded of fault treatment in time through sound and light alarm, and meanwhile, the waveform of the fault moment is recorded, and the first-hand data of the site is reserved.
Specifically, the device directly monitors analog quantities such as voltage and current of related lines through a high-speed acquisition circuit instead of simple 0 and 1 quantity state judgment, a screen cabinet relay contact is not occupied, the sampling rate of the high-speed acquisition circuit at least reaches 1000 times per second, the highest rate can reach 8000 times per second, high-resolution acquisition is realized, and meanwhile, health parameter diagnosis such as circuit voltage, current, load characteristics and device service life in a screen cabinet, waveform recording and online monitoring are realized through acquisition and processing of circuit state data through a software diagnosis method.
When the current is abnormal due to the insulation damage and the like in the loop, the TCMS and a driver can be informed in time through the network, and crew members can be reminded of performing fault treatment in time through sound and light alarm, so that the serious fault of circuit board burning loss is avoided.
And because the state of the logic loop is directly acquired, when the fan contactor is reported to have a failure, whether the coil is not electrified or the contact is not operated can be directly diagnosed, and the accurate positioning of a failure device is realized.
Meanwhile, the device records the waveform at the moment of the fault, and reserves the first-hand data on the spot, so that the situation that the fault of a preventive replacement part does not reappear on the ground is avoided. During fault analysis, the relevant loop state at the moment of the fault can be truly restored by downloading and analyzing the waveform recording file.
The system can be used as effective supplement of a vehicle network system, is in butt joint with a train PHM, realizes the functions of system-level big data analysis and expert diagnosis, reduces vehicle operation faults and risks, and improves the reliability, the overhaul efficiency and the operation guarantee capability of the system, so the system has very important function and significance.
Embodiments of the present application are specifically described below with reference to the respective drawings.
Fig. 1 is a schematic system structure diagram of a rail transit electrical control cabinet including a health diagnosis device according to an embodiment of the present application. The various structures and functions of the system are described below with reference to fig. 1.
As shown in fig. 1, in the present embodiment, a health diagnosis device 110 for performing health diagnosis on an electrical control panel of a rail transit is disposed in the electrical control panel, and the device 110 includes an external connection module 110c, a CPU core board (on which a health diagnosis module is disposed) 110a, and a data acquisition board (as an example of a high-speed acquisition circuit) 110 b. The program product for executing the method for diagnosing the health of the rail transit electrical control panel cabinet provided by the invention is stored in the CPU core board 110a of the health diagnosis device, and the CPU core board 110a can realize the health diagnosis of the rail transit electrical control panel cabinet by executing the program product. The data acquisition board 110b samples real-time monitored running state information of an actual loop of the rail transit electrical control panel cabinet based on a high-speed sampling rate, wherein the running state information comprises a voltage analog quantity and a current analog quantity of the monitored loop. Specifically, in the information collection process, the data collection board 110b samples the voltage analog quantity and the current analog quantity of the tested loop in the multiple (n) relay boards 170, which are monitored in real time by the sampling resistors (an example of the collection device) 160 arranged on the chassis backplane shown in fig. 1, and transmits the sampled data to the CPU core board 110a connected thereto, so that the CPU core board 110a performs data processing to complete the health diagnosis. The CPU core board 110a can store the status data and health information data of the rail transit electric control panel cabinet transmitted from the data acquisition board 110b in a local storage, and can transmit the information (mainly health diagnosis results) to relevant external devices (such as the display screen 140 and/or the audible and visual alarm 150) in various interactive manners through the external connection module 110c to be displayed or responded by the devices if necessary.
In addition, the system also comprises a sampling resistor 160 arranged on the back plate of the case, which monitors the running state information of the key loops of the plurality of relay boards of the rail transit electrical control panel cabinet in real time to obtain the voltage analog quantity and the current analog quantity of the key loops. The system further includes a TCMS 120, upper computer software 130, a display screen 140, and an audible and visual alarm 150 in communication with the external connection module 110c of the health diagnostic device 110. The health diagnosis apparatus 110 can interact with the TCMS 120 and the upper computer software 130 through the external connection module 110 c. For example, the health diagnosis apparatus 110 can transmit the health information generated by itself to the TCMS 120, the upper computer software 130 and the display screen 140, respectively, so as to perform friendly human-computer interaction.
In this embodiment, preferably, the system parameter setting is performed by using an xml configuration file for setting and identifying, and the diagnosis parameter is set by using a software interface of an upper computer, and then the xml configuration file is generated and downloaded to the CPU core board 110 a. And the recording file is stored and identified according to the established protocol containing the file header, the file data area and the file tail.
The health diagnostic device 110 does not occupy the screen cabinet relay contacts and the maximum rate of data acquisition can be up to 8000 times per second. The data acquisition board 110b of the health diagnosis device 110 is preferably a high-speed acquisition module, which can acquire 50-path voltage and 50-path current analog quantities, and each path of analog quantity has 24-bit precision, so that the precision of voltage 5% and current 1% is realized. In the process of data processing, the CPU core board 110a preferably filters the acquired data, and then realizes health diagnosis of the screen cabinet loop through the software algorithm model, records the information related to the screen cabinet health locally, sends the information to the train network TCMS 120 and the upper computer software 130, and performs an audible and visual alarm to prompt crews to perform fault handling in time.
Fig. 2 is a functional block diagram of a health diagnosis module (entity is the CPU core board 110a of fig. 1) for a rail transit electrical control panel cabinet according to an embodiment of the present application. The composition and function of the module is described below with reference to fig. 2.
As shown in fig. 2, the health diagnosis module includes: an information storage unit 210, a health diagnosis unit 220, and a result processing 230. The information storage unit 210 stores data obtained by sampling the running state information of the actual loop of the rail transit electrical control panel cabinet obtained by real-time monitoring by the data acquisition board 110b based on a high-speed sampling rate and health diagnosis information. And a health diagnosis unit 220 which diagnoses health parameters of at least one of critical loop voltage, current, load characteristics and device life for the sampled operating state information. And a result processing unit 230 which performs corresponding processing based on the health parameter diagnosis result. A health diagnosis unit 220, which performs at least any one of the following diagnostic steps: (1) performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults; (2) the running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized. For example, if a fan contactor fails, diagnosing according to state information acquired at a coil and an auxiliary feedback contact of the fan contactor to identify and position a failed component; (3) diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information; (4) diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault; (5) and counting the action times of the relay and predicting the service life of the relay. In addition, the health diagnosis module 220 further performs at least one of the following steps: recording the waveform and health diagnosis information of the device at the action moment, retaining the data of the fault moment, and performing file analysis and waveform display through upper computer software; when a fault is determined, fault alarm processing is carried out through multiple interactive modes; the parameter setting of an upper computer is supported, and various device model algorithms with different electrical parameters are configured through the upper computer; and receiving a waveform online monitoring request from the upper computer, extracting the high-frequency acquired health data of the corresponding channel, and sending the health data to the upper computer to realize the waveform online monitoring.
The following describes the contents of a software program including a health diagnosis method (also called an algorithm) for a rail transit electric control panel stored inside the CPU core board 110 a. According to the health diagnosis method provided by the embodiment of the invention, embedded software is developed on the CPU core board 110a to build a software algorithm model and process data, and the health diagnosis method specifically comprises the following steps.
As shown in fig. 3, in step S310 (information acquisition step), the acquired running state information of the actual circuit of the rail transit electrical control panel is acquired based on the high-speed sampling rate. It should be noted that, since the sampling device used in this example is a sampling resistor, the operation state information acquired here includes the loop voltage and the loop current of the monitoring position of the analog quantity.
In the step, analog quantities such as voltage, current and the like of related lines are directly monitored through a high-speed acquisition circuit instead of simple 0 and 1 quantity state judgment, so that overvoltage monitoring and loop current monitoring can be carried out on each state of loop voltage, the electrical state during accidental electrical faults can be truly restored, and the defects of mistaken acquisition and alarm are avoided. In addition, the high-speed acquisition circuit is adopted to directly monitor the actual loop state, so that auxiliary contacts of related relays do not need to be occupied, and the risk that the auxiliary contacts and the action coil act in a inconsistent manner is avoided.
In step S320 (health diagnosis step), the operation state information obtained by sampling is processed, so as to realize health parameter diagnosis of at least one of the critical loop voltage, current, load characteristics and device lifetime.
First, based on the voltage and current data information obtained after sampling, the number of times of operation of the device, the operation time, the jitter condition, and/or the information related to the load device, etc. may be further obtained through processing. Then, in the health diagnosis step, at least any one of the following diagnosis steps may be performed:
(1) and (4) performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults. Specifically, the state data after calibration of each channel is respectively judged according to a preset high-low level threshold interval, and whether faults such as overvoltage, undervoltage and overcurrent occur in a key loop or not is determined. The diagnosis can realize the alarm of the circuit abnormity, and avoid the fault diffusion and aggravation, such as abnormal burning loss of a circuit board due to long-time current caused by insulation damage; and the abnormal conditions of the device such as cold joint, poor contact and the like cause the running fault of the vehicle.
(2) The running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized.
For example, the logic circuit returns to perform fault location, voltage monitoring and acquisition are performed on monitoring logic circuit point locations, and devices or single boards with faults such as non-action can be directly located through states of different point locations. For example, as shown in fig. 6, the traction enable loop is designed to collect five nodes: 61A, 61D, 61E, 61N, 61R, when the PCR is abnormally powered off, the fault point can be accurately positioned through the node state (shown in the table below).
TABLE 1
Figure BDA0002278539170000081
(3) And diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information. The device can effectively capture the action time and the jitter condition of the contact of the relay/contactor through high-frequency acquisition, provide sampling filtering and time reference for a network and avoid the occurrence of error faults.
For example, the wind turbine contactor fails, the network directly collects the auxiliary feedback contact of the contactor, occasionally reports that the contactor fails to operate, but the ground test of the return warehouse does not reappear. The device directly monitors the auxiliary contact loops where the coil and the fan of the contactor are located, diagnoses the state of the device, sends information to a network, supplements the basis for judging network faults, and can download and analyze the recording file after the fault occurs due to recording of state data, and analyzes the state of the device at the moment of the fault to perform fault location. The specific positioning method comprises the following steps: 1. if the coil of the fan contactor is electrified, the loop where the fan is located is not electrified, and the network feedback contact is abnormal, judging that the relay is abnormal; 2. if a coil of the fan contactor is electrified, a loop where the fan is located is electrified, and a network feedback contact is abnormal, judging that the relay is abnormal; 3. and if the coil of the fan contactor is electrified, a loop where the fan is positioned is electrified, the network feedback contact is normal, and the fan has no current, the fan is judged to be abnormal.
(4) And diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault. Specifically, when the voltage level changes from the low level to the high level, the duration from the high level of the channel voltage to the high level of the corresponding current level is counted according to the calibrated state data, and the load L/R time constant is obtained. When a fault occurs, the system can prompt fault elimination in time.
(5) And counting the action times of the relay and predicting the service life of the relay. Specifically, the number of times the channel level changes from low level to high level is counted to obtain the number of times of operation. And if the action times are greater than the set times and a certain time difference range is met, judging that the relay needs to be replaced. Through the health diagnosis, the aging and replacement of the device can be reasonably carried out, and the maintenance cost is reduced.
In step S330 (result processing step), based on the health parameter diagnosis result, corresponding processing is performed.
Specifically, in the step, the waveform and the health diagnosis information at the device action time can be recorded, the data at the fault time is retained, the file analysis and the waveform display are performed, and the real recovery of the loop state at the device action time is completed. And when the fault is determined to occur, carrying out fault alarm processing through various interactive modes. For example, the train TCMS 120 and the driver may be notified of the fault handling via the network; the detailed state is displayed through the screen cabinet display screen 140, and self-diagnosis information display of the health of the screen cabinet is realized; through audible and visual alarm 150, the crew members are timely reminded of carrying out fault treatment.
In addition, the software algorithm model parameters support the setting of the upper computer 130, so that various device model algorithms with different electrical parameters can be flexibly configured through the upper computer software, and the software algorithm model parameters are mainly used for configuring some fault thresholds, such as the normal range of voltage and the normal range of current in the model algorithms for diagnosing overvoltage, undervoltage, short circuit or overcurrent, L/R time constant characteristics and the like. In other embodiments, waveform online monitoring can be realized, which is equivalent to a screen cabinet with a small oscilloscope and 100 channels, real-time waveforms of circuits in the screen cabinet can be monitored through upper computer software, and the defect that in the prior art, after a fault occurs, the circuits are led from the inside of the screen cabinet, and then the state of a few circuits is observed by using the oscilloscope with the size of a chassis is overcome.
In summary, according to the device characteristics and the test measurement data, the health diagnosis method adopts embedded software to build a set of software algorithm model for device analysis, uses the monitored voltage and current data as model input data, and outputs fault diagnosis information, load device characteristics, contact action time and jitter conditions after model processing.
Fig. 4 is an overall software flow of a health diagnosis method for a rail transit electrical control panel cabinet according to a specific example of the present application, and the overall software flow of the health diagnosis method is described below with reference to fig. 4.
Firstly, after the system is powered on, reading a system configuration file, initializing parameters, and sequentially creating a data reading task, a fault diagnosis task, an alarm task, a file recording task, an upper computer communication task, a TCMS communication task and a display screen communication task. Information such as a record file format, software model parameters, a sampling rate and the like is configured through upper computer software, and a configuration file is generated to be analyzed and configured by the health diagnosis method.
The data reading task matches the utilization rate parameter value in the configuration file, regularly reads 50 paths of voltage and 50 paths of current data of the acquisition board 110b, and carries out channel consistency calibration on the acquired data, so that the accuracy of 5 per mill of voltage and 1% of current in the whole range are ensured. After the task reads the data at five sampling moments, the task tells the health diagnosis task in a signal synchronization mode.
The health diagnosis task takes the calibrated voltage and current data and the voltage and current of the normal work of the loop as model input data, and outputs overvoltage, undervoltage, short circuit and overcurrent fault information, contact action time and jitter conditions, and the L/R time constant and the device action times of a loop load device after model processing. As shown in fig. 5, the health diagnosis device monitors the current of the train through line, executes overcurrent fault diagnosis processing, and performs alarm processing when the monitored current is greater than the rated maximum working current, so as to avoid fault diffusion and aggravation, and solve the problems of line burning loss and the like caused by long-time current abnormality.
The health diagnosis task monitors the point location of a monitoring logic loop designed by the device, and can directly position a device or a single board with failures such as non-action and the like by analyzing the states of different point locations. For example, as shown in fig. 6, the traction enable loop is designed to collect five nodes: 61A, 61D, 61E, 61N, 61R, when the PCR is abnormally powered off, the fault point can be accurately positioned through the node state (shown in the table below).
TABLE 1
Figure BDA0002278539170000101
And the file recording task adopts different storage strategies according to whether the screen cabinet fails or not so as to reasonably utilize the storage space. The recording file adopts a recording strategy according to the system configuration file, when the system is normal, the low-frequency mode is adopted to record the acquired data, when the system is in fault, the high-frequency mode is adopted to record the waveform of a period of time before and after the fault moment, when the fault is analyzed, the waveform recording file is downloaded, and the relevant loop state at the fault moment is really restored through the upper computer software.
According to a specific communication protocol, the TCMS communication and display screen communication task encapsulates life signals, time, single board monitoring loop state data (analog quantity and digital quantity), overvoltage, undervoltage, short circuit and overcurrent fault information, contact action time and jitter conditions of the diagnosis device, and the L/R time constant and the device action times of a loop load device in the protocol to communicate with the TCMS and the display screen.
The display screen is convenient for crew members to check the running state of the screen cabinet on line, after receiving data, the display screen analyzes according to the protocol and corresponds to each monitoring loop of the relevant single board, as shown in fig. 7 and 8, if the UBLR loop fails, the UBLR relay on the interface of fig. 8 turns red according to the condition that the UBLR relay turns red, and the alarm prompt is carried out, so that the operation state of the screen cabinet is concise and clear. All faults occurring in the running process of the vehicle can be displayed in time sequence through the interface of fig. 9, and self-diagnosis and display of the health of the screen cabinet are achieved.
The waveform online monitoring task mainly completes real-time waveform data communication, a channel name needing to be monitored is selected through a graphical man-machine friendly interface on an upper computer interface, a request frame is sent, after the health diagnosis device receives the request frame, health data collected at high frequency of a corresponding channel is extracted from a cache region according to a protocol and packaged and sent, the upper computer displays the health data through a waveform display interface for monitoring and diagnosis of technicians, and the display interface is shown in figure 10.
The health diagnosis device directly monitors analog quantity such as voltage and current of related lines through a high-speed acquisition circuit instead of simple 0 and 1 state judgment, does not occupy screen cabinet relay contacts, achieves high-resolution acquisition at the highest rate of 8000 times per second, and simultaneously acquires and processes loop state data through a software diagnosis method to diagnose health parameters such as loop voltage, current, load characteristics, device service life and the like in a screen cabinet, record waveforms and monitor on line.
When the current is abnormal due to the insulation damage and the like in the loop, the TCMS and a driver can be informed in time through the network, and crew members can be reminded of performing fault treatment in time through sound and light alarm, so that the serious fault of circuit board burning loss is avoided. And because the state of the logic loop is directly acquired, when the fan contactor is reported to have a failure, whether the coil is not electrified or the contact is not operated can be directly diagnosed, and the accurate positioning of a failure device is realized.
Meanwhile, the device records the waveform at the moment of the fault, and reserves the first-hand data on the spot, so that the situation that the fault of a preventive replacement part does not reappear on the ground is avoided. During fault analysis, the relevant loop state at the moment of the fault can be truly restored by downloading and analyzing the waveform recording file.
The system can be used as an effective supplement of a vehicle network system, and can be used for docking a train PHM to realize the functions of system-level big data analysis and expert diagnosis. And the running fault and risk of the vehicle are reduced, and the reliability, the overhaul efficiency and the operation guarantee capability of the system are improved, so that the method has very important function and significance.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A health diagnosis device for rail transit electric control cabinet, characterized in that the device comprises:
the high-speed acquisition circuit is used for sampling running state information of an actual loop of the rail transit electrical control panel cabinet monitored in real time based on a high-speed sampling rate, and the running state information comprises analog quantity voltage and analog quantity current;
the health diagnosis module is connected with the acquisition module, processes the sampled running state information, realizes the health parameter diagnosis of at least one of the voltage, the current, the load characteristic and the device service life of a key loop, and executes corresponding processing based on the health parameter diagnosis result;
and the external connection module is connected with the health diagnosis module and outputs the health diagnosis result to external equipment in a plurality of interactive modes.
2. The health diagnostic device of claim 1, wherein the health diagnostic module performs at least any one of the following diagnostic steps:
A. performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults;
B. the running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized;
C. diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information;
D. diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault;
E. and counting the action times of the relay and predicting the service life of the relay.
3. The health diagnostic device of claim 1 or 2, wherein the health diagnostic module further performs at least one of the following steps:
recording the waveform and the health diagnosis information of the device at the action moment, and performing file analysis and waveform display through upper computer software;
when a fault is determined, fault alarm processing is carried out through multiple interactive modes;
the parameter setting of an upper computer is supported, and various device model algorithms with different electrical parameters are configured through the upper computer;
and receiving a waveform online monitoring request from the upper computer, extracting the high-frequency acquired health data of the corresponding channel, and sending the health data to the upper computer to realize the waveform online monitoring.
4. The health diagnosis device according to any one of claims 1 to 3, wherein the external connection module is in communication connection with the TCMS, a display screen of a rail transit electric control panel cabinet and an audible and visual alarm, and sends the health diagnosis result to the TCMS, the display screen of the rail transit electric control panel cabinet and the audible and visual alarm.
5. The utility model provides a track traffic electrical control screen cabinet which characterized in that, it includes:
the sampling equipment is used for monitoring the running state information of an actual loop of the rail transit electric control screen cabinet in real time to obtain a voltage analog quantity and a current analog quantity of the actual loop;
the health diagnostic device as set forth in any one of claims 1 to 4;
and the display screen and the audible and visual alarm are in communication connection with the health diagnosis device.
6. A health diagnosis method for rail transit electric control cubicles is characterized by comprising the following steps:
the method comprises the steps of acquiring information, namely sampling running state information of an actual loop of the rail transit electrical control panel cabinet monitored in real time based on a high-speed sampling rate, wherein the running state information comprises analog quantity voltage and analog quantity current;
a health diagnosis step, namely processing the sampled running state information to realize the health parameter diagnosis of at least one of the voltage, the current, the load characteristic and the service life of the device of the key loop;
and a result processing step of executing corresponding processing based on the health parameter diagnosis result.
7. The method according to claim 6, wherein in the health diagnosis step, at least any one of the following diagnosis steps is performed:
A. performing health diagnosis on the voltage and the current of the key loop, and judging whether the loop has overvoltage, undervoltage and overcurrent faults;
B. the running state of each part of the logic circuit is directly monitored, and the positioning of a fault component in the electric circuit is realized;
C. diagnosing the contact action time and the jitter condition measured when the relay and/or the contactor act, judging the action state of the device and supplementing network acquisition point location information;
D. diagnosing the L/R time constant characteristic of the loop load device, and identifying whether the characteristic of the loop load device changes to cause a fault;
E. and counting the action times of the relay and predicting the service life of the relay.
8. The method according to claim 6 or 7, characterized in that at least one of the following steps is also performed:
recording the waveform and the health diagnosis information of the device at the action moment, and performing file analysis and waveform display through upper computer software;
when a fault is determined, fault alarm processing is carried out through multiple interactive modes;
the parameter setting of an upper computer is supported, and various device model algorithms with different electrical parameters are configured through the upper computer;
and receiving a waveform online monitoring request from the upper computer, extracting the high-frequency acquired health data of the corresponding channel, and sending the health data to the upper computer to realize the waveform online monitoring.
9. The method of any one of claims 6 to 8, further comprising:
and the display screen and the acousto-optic alarm of the TCMS and the rail transit electric control screen cabinet are in communication connection, and health diagnosis results are sent to the TCMS and the rail transit electric control screen cabinet.
10. A program product having stored thereon a program code executable to perform the method steps of any of claims 6-9.
CN201911131852.3A 2019-11-19 2019-11-19 Health diagnosis device and method for rail transit electrical control screen cabinet Pending CN112904098A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113485209A (en) * 2021-08-19 2021-10-08 卡斯柯信号有限公司 Health management system based on platform
CN113970711A (en) * 2021-10-29 2022-01-25 中车大连电力牵引研发中心有限公司 Intelligent health diagnosis method for support capacitor

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN206420972U (en) * 2017-01-05 2017-08-18 株洲中车时代电气股份有限公司 The intelligent monitoring device of electric screen cabinet of railway vehicle

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN206420972U (en) * 2017-01-05 2017-08-18 株洲中车时代电气股份有限公司 The intelligent monitoring device of electric screen cabinet of railway vehicle

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113485209A (en) * 2021-08-19 2021-10-08 卡斯柯信号有限公司 Health management system based on platform
CN113970711A (en) * 2021-10-29 2022-01-25 中车大连电力牵引研发中心有限公司 Intelligent health diagnosis method for support capacitor

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