KR100492178B1 - Fault trace algorithm of electric equipment for railway - Google Patents

Abstract

 BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a fault trace data structure and fault trace data acquisition algorithm that store operation data of a device for a predetermined time before and after a fault based on a fault point in a railway vehicle electronics.

It is possible to recognize where the fault occurred by the device adopting the fault algorithm, but it is difficult to find out the cause of the fault when the fault occurs because it is impossible to obtain accurate information on what caused the fault. .

In this regard, the present invention periodically executes a trace routine for detecting and sampling monitoring data for each item of the main item necessary for identifying the operation state of each main part, and determining whether a failure has occurred during execution of the trace routine, In the event of a fault in the vehicle, the item-specific monitoring data detected as before and after the point of failure is stored as fault trace data, so that the inspection personnel can be conveniently used when inspecting the vehicle, and the cause of the accident can be easily identified from the data. It is to help prevent accidents in advance.

Description

Fault trace algorithm of electric equipment for railway equipment and storage method

According to the present invention, a fault trace in a railroad car electronics, which stores operation data of a device for a predetermined time before and after a fault based on a fault point, and can be used as a data for later identifying the cause of an accident and preventing an accident in advance. Data structure and fault trace data acquisition algorithm.

Today's electronic devices are rapidly increasing performance and automation trends due to the development of power electronic technology, and their functions are becoming more and more complicated, and the automation of vehicles is increasing their correlation.

This requires maintenance expertise.

Currently, most railroad cars are equipped with a device that applies a self-diagnosis algorithm for determining whether the internal devices are broken and informing the railroad car driver.

However, it is possible to recognize where an abnormality occurs in such a device by such a device, but it is difficult to obtain accurate information on what actually caused the failure, and thus, it is difficult to find out the cause of an accident when a failure occurs.

In this regard, the present invention periodically executes a trace routine that detects monitoring data for each item of each major item necessary for identifying the operation state of each main unit, and determines whether a failure occurs when the trace routine is executed, so that the railway vehicle has a failure. When it occurs, it is possible to store the monitoring data for each item detected as above as before and after the point of failure as the fault trace data, so that the inspection personnel can be convenient when inspecting the vehicle so that the cause of the accident can be easily identified from the data. To prevent accidents in advance.

The present invention relates to a fault trace data storage method and a memory data structure for applying such a storage method in order to achieve the above object,

First, the fault trace data structure is

Each time a failure occurs, multiple trace data blocks are configured to store trace data for one failure.

Each of the trace data blocks includes a header unit for recording a data frame pointer information at the time of occurrence of a failure code, a failure time point, and a trace data obtained by a periodic trace routine in order of time. It is composed of a frame portion having a plurality of data frames,

The data frame is characterized by consisting of a plurality of data item groups according to the number of data items (wire current, home appliance voltage, motor voltage, ..., etc.) requiring a fault trace.

The data frame arrangement in the frame has a circular queue, and the trace data obtained while circulating in the arrangement is recorded sequentially.

The fault trace data acquisition method for the electrical equipment of a railway vehicle applying such a trace data structure is

A first process of executing a trace routine according to a set time period, recording and storing trace data of a point of failure and a predetermined amount of failure before and after the failure in one trace block;

A second step of recording and storing trace data for each cyclically configured data item while sequentially selecting a plurality of data frames configured in the trace block each time a trace routine proceeding according to a time period in the first step;

When a failure occurs in the second process, the failure code, current time information, and data frame position information at the time of the failure are recorded and stored in the header part, and data is stored as many as the remaining frames for acquiring trace data after the failure occurs. A third process of recording and storing trace data in a frame;

When the third process is completed, a fourth process of sequentially repeating the above process is performed on the next trace block while increasing the position of the trace block by one.

In the second process or the third process, when a data frame to be recorded is determined as the trace routine is performed each time, the data stored in the current data frame is returned to the first data frame and circulated in the case of the last data frame. To overwrite the currently acquired data.

When all of the configured trace blocks have completed writing the failed trace data, the process returns to the next trace block of the trace block in which the initial failure is recorded and repeats the above process.

The operation of the present invention having such a memory data structure and execution procedure will be described with reference to FIGS. 1 and 2 as follows.

As shown in FIG. 1, the trace data structure includes a header section and a frame section in one trace block, and the header section includes a failure code and information on time of failure (Time) and data frame pointer information on the frame section at the time of failure. (Fault_start_ptr) and so on.

The frame portion comprises a plurality of data frames (0,1,2 .... M), and each data frame has data items (0,1,2 ... N) according to the number of items requiring trace data. ) Is configured.

The data items are recorded with corresponding monitoring data, i.e., wire current, wire voltage, motor voltage, and the like.

At this time, the frame pointer (td_frame_ptr), which is data frame position information for designating a data frame for recording each monitoring data detected through the execution of the trace routine, increases by 1 for each execution of the trace routine and is located in the next data frame. Bar,

Since the data frame has an annular structure, the frame pointer td_frame_ptr in the lowest last data frame M is moved to the topmost data frame 0.

Therefore, the next recorded data is overwritten over the currently recorded data, while the trace routine made according to the set time period is executed to continue to record the trace data.

That is, data items refer to data items that require a failure trace, and data frames refer to a group of data items that are sampled at a specific point in time, and after one data frame is sampled, the next data frame is sampled. The time is the sampling time.

In other words, the sampling time refers to the time interval of the trace routine as described so far.

The trace data block having such a structure has the fault trace data as the same structure described above for one failure.

In the event of a fault, periodic data sampling must be performed to obtain a certain amount of fault trace data before and after the fault occurs.

The data is obtained by executing the trace routine at regular intervals.

Each time the trace routine is executed, the detected data is recorded in the data frame in which the frame pointer td_frame_ptr is located among the data frames configured in the frame portion of the current trace block designated by the block pointer td_ptr.

That is, each time a one-time trace routine is executed, each data item of one data frame is filled with trace data.

As such, when the trace routine starts to run at regular intervals, it checks whether a current fault has occurred.

When a fault occurs, the fault code, current time information, and current frame pointer information (Fault_start_ptr) are recorded in the header part, and a trace routine is executed according to the number of remaining frames to acquire fault trace data. It will form a block.

Next, the fault trace data acquisition process will be described in detail with reference to FIG. 2.

When the trace routine is executed, the fault_on flag is determined to determine whether the current fault trace data is being recorded.

This is to determine whether a trace routine for fail trace data acquisition is executed according to the number of fault trace data acquisition frames set for recording fault trace data in one trace block because a fault has previously occurred.

If the fault_on flag is not set as a result of the determination, it is checked whether a current fault has occurred.

If no failure occurs, the general sampling data recording process is performed periodically.

Corresponding trace data is recorded in each data item of the data frame in which the current frame pointer td_frame_ptr is located, and is increased by one from the current position of the frame pointer td_frame_ptr to move to the next data frame.

At this time, when the current frame pointer position is the last data frame M, the first frame frame is moved to the first data frame 0, and the data obtained in the subsequent trace routine is overwritten on the current recorded data.

If a failure does not occur, the data recording process for sampling the failure trace data as described above is performed. However, if a failure occurs, the failure code, current time information, and current frame pointer information ( Fault_start_ptr).

The current frame pointer information (Fault_start_ptr) is a frame pointer (td_frame_ptr) of the data frame at which the failure started.

In addition, a flag (fault_on) indicating that fault trace data is being recorded after a fault occurs in the future is set.

Thereafter, the trace recording process as described above is performed, but it can be regarded that it is recorded as fault trace data from this time.

However, at this time, since the fault_on state is set, the remaining frame (td_left_frame_cnt) of how many data frames to acquire in the future is counted without immediately ending the trace routine.

In other words, the number of trace data frames (td_left_frame_cnt) to be stored afterwards from the time of the failure is to set the amount of time before and after the accident,

The larger the td_left_frame_cnt, the more the fault trace data frame after the accident is stored, and the smaller the td_left_frame_cnt, the more the fault trace data frame is stored before the accident.

Then, when starting the next trace routine, as described above, it is determined whether fault_on is set. Since a fault has occurred and fault_on is set, data is immediately written to the data frame where the frame pointer (td_frame_ptr) is located. You will proceed.

Acquisition of fault trace data If the data is obtained by executing the above trace routine as many as the remaining frames, increase the block point (td_ptr) of the trace block by 1 and record the fault trace data through the above process when the next fault occurs. Do it.

At this time, if the currently located block point (td_ptr) was the last trace block (L) of the configured trace block, it returns to the next trace block (1) of the first trace block (0) to overwrite the data for the next failure.

To record the next fault trace data from the second trace block (1) without sequentially moving the position as in the previous data frame, since the data about the first fault is most important, the fault trace data for the first fault To save it.

Thereafter, the frame pointer td_frame_ptr is initialized to the position of the first data frame, and the fault_on flag indicating that fault trace data is being recorded is released.

Here, the total time at which such data is traced is the product of the data sampling period (ie, the trace routine period) and the total number of trace data frames (M + 1).

Through the above process, one trace block records and stores trace data about one failure, and the stored trace data includes the trace data at the point before the failure obtained through sampling at periodic time intervals. And trace data at the time of failure and trace data after the failure has been recorded.

Therefore, the inspector can easily identify the cause of the failure of the vehicle by using the data as described above,

As shown in FIG. 3, the inspector connects a portable PC such as a notebook computer to a railroad vehicle employing a device to which the algorithm according to the present invention is applied to collect data, output the collected data, and continue the stored data. Because it can be stored, it is easy to identify the cause of the failure and prevent accidents based on the collected data.

As described above, when a failure occurs, the trace data before and after the occurrence of the failure for a predetermined time and after the occurrence of the failure are stored as the failure trace data for each time, so that the cause of the failure can be easily identified later. It can be used as a material to prevent failure in advance.

1 is a diagram illustrating a fault trace data structure for an electric vehicle electric equipment of the present invention.

Figure 2 is a flow chart showing an example of the execution procedure of the trace data storage method for the electric vehicle railway equipment of the present invention.

3 is a view showing an example of collecting data using an external interface to the railroad vehicle system to which the present invention is applied.

Claims (4)

In the self-diagnosis system for recording and storing the monitoring data according to the operation of the railway vehicle electrical equipment, When the failure of the electrical equipment occurs through the detection of the monitoring data on the basis of the failure time of the fault trace data for the electrical equipment for a predetermined time before and after the failure, the fault trace data, Whenever a failure occurs, configure multiple trace data blocks to store trace data for one failure. Each of the trace data blocks includes: a header unit for recording data frame pointer information at the time of occurrence of a failure code and a failure point; In order to record the trace data obtained by the periodic trace routine in chronological order, it is composed of a frame portion including a plurality of data frames arranged in an annular shape and consisting of a plurality of data item groups according to the number of data items requiring a fault trace. Characterized by the fault trace data structure for electrical equipment of railroad cars. A first process of executing a trace routine according to a set time period, recording and storing trace data of a point of failure and a predetermined amount of failure before and after the failure in one trace block; A second step of recording and storing trace data for each cyclically configured data item while sequentially selecting a plurality of data frames configured in the trace block each time a trace routine proceeding according to a time period in the first step; When a failure occurs in the second process, the failure code, current time information, and data frame position information at the time of the failure are recorded and stored in the header part, and data is stored as many as the remaining frames for acquiring trace data after the failure occurs. A third process of recording and storing trace data in a frame; When the third process is completed, the fault trace data storage method for electrical equipment of a railway vehicle comprising the fourth process of sequentially repeating the above process for the next trace block while increasing the position of the trace block one by one. . The data frame of claim 2, wherein in the second process or the third process, when the data frame to be recorded is determined while the trace routine is performed every time, the current data frame is returned while the last data frame is returned to the first data frame. A method of storing fault trace data for electrical equipment of a railway vehicle, characterized in that it overwrites the currently acquired data with the data stored in the data. 3. The fault trace of claim 2, wherein when all of the configured trace blocks have completed the recording of the fault trace data, the fault trace for the railway vehicle electric equipment is repeated by returning to the next trace block of the trace block in which the initial fault is recorded. How data is stored.