KR101340227B1 - Method and computer-readable recording medium for treating helicopter flight test data - Google Patents

Abstract

The technical problem to be achieved by the present invention is a computer-readable method and a computer-readable method for processing the parameter-type analog data obtained from the dynamic component sensor of the helicopter in an easy-to-use form to be connected to the cumulative calculation of fatigue damage To provide a recording medium.
According to one aspect of the invention, (a) receiving data in analog form obtained from a sensor attached to the dynamic component of the helicopter; (b) classifying the received data into a cycle of one rotor; (c) obtaining a static load and a dynamic load from the data value classified as one rotor revolution; (d) determining which class among the classes classified as the static load and the dynamic load value in a predetermined range; (e) counting the number of static load and dynamic load values corresponding to each of the classified classes among all data corresponding to one parameter; And (f) outputting the frequency of occurrence to the screen or storing the file in a file; Helicopter flight test data processing method comprising a.
As a result, through an automated process of processing analog data obtained from a sensor attached to a dynamic component through a helicopter flight test, it is possible to reduce an error occurring during a conventional manual data processing process.

Description

Helicopter flight test data processing method and computer readable recording medium {METHOD AND COMPUTER-READABLE RECORDING MEDIUM FOR TREATING HELICOPTER FLIGHT TEST DATA}

The present invention relates to a method for processing helicopter flight test data, and more specifically, static load, dynamic load (Static Load) and dynamic load data obtained through a sensor attached to a dynamic component as a subsequent process of helicopter flight test data. The present invention relates to a method and computer readable recording medium for processing data to be used for helicopter dynamic component flight test load processing by understanding the load and the number of occurrences and connecting the cumulative calculation of fatigue damage as a follow-up service.

The dynamic component of a helicopter refers to a component whose load varies periodically with the rotation of a rotor, and includes a rotor system, a power transmission system, and a component supporting the same.

In the prior art, there was no separate associated program for processing analogue load data obtained via sensors attached to the helicopter's dynamic components. Therefore, in the related art, the static load, the dynamic load, and the number of occurrences (Occurrence) were identified for each cycle by manually generating a large amount of analog data obtained through a flight test of a helicopter.

Knowing the load data obtained through the conventional flight test of such a helicopter is impossible to process in an excessive amount of time, and thus a necessary technique for processing the raw data obtained through a sensor attached to the helicopter's dynamic components is required. It is a desperate situation.

Therefore, the technical problem to be achieved by the present invention is a method and computer for processing the analog data of each parameter obtained from the dynamic component sensor of the helicopter in an easy-to-use form to be connected to the cumulative calculation of fatigue damage subsequent work To provide a readable recording medium.

As a means of the present invention for achieving the above object, (a) receiving data in analog form obtained from a sensor attached to the dynamic component of the helicopter; (b) classifying the received data into a cycle of one rotor; (c) obtaining a static load and a dynamic load from the data value classified as one rotor revolution; (d) determining which class among the classes classified as the static load and the dynamic load value in a predetermined range; (e) counting the number of static load and dynamic load values corresponding to each of the classified classes among all data corresponding to one parameter; And (f) provides a helicopter flight test data processing method comprising the step of outputting the frequency of occurrence on the screen or to a file.

Also, between step (e) and step (f), it is determined whether there is another parameter that has not been processed data, and if there is data for the parameter that has not been processed, step (b) for the data of the unprocessed parameter. To (e) to provide a helicopter flight test data processing method further comprising the step of performing.

In addition, in the step (b), the rotor 1 rotation period is classified based on the marker signal obtained from the helicopter, and the marker signal selects only a signal equal to or greater than a marker threshold value input from the user. It provides a helicopter flight test data processing method characterized in that based on the selected signal.

In addition, in the step (c), the static load is characterized by dividing the maximum value and the minimum value of the data value corresponding to one rotation of the rotor divided by two, the dynamic load corresponds to one rotor rotation Helicopter flight test data processing method characterized in that the value obtained by subtracting the minimum value from the maximum value of the data value is divided by 2.

Also, in the step (d), the range of the class is obtained by dividing the maximum static / dynamic load value of the static / dynamic load for the whole signal by the number of classes received from the user minus the minimum static / dynamic load value. A helicopter flight test data processing method is provided.

Further, in the step (f), the stored file provides a helicopter flight test data processing method, characterized in that the file in the form of a spreadsheet.

A computer readable recording medium for recording a computer program for carrying out the method is also provided.

According to the present invention, through an automated process of processing analog data obtained from a sensor attached to a dynamic component through a helicopter flight test, it is possible to reduce the errors occurring in the process of the conventional manual data processing.

In addition, according to the present invention, it is possible to reduce excessive time required for processing analog data collected through the helicopter dynamic components.

In addition, according to the present invention, by classifying and classifying data in an analog form, quantitatively configuring, there is an advantage of easy analysis and calculation.

In addition, according to the present invention, the analog data collected through the helicopter dynamic components are processed and stored in a spreadsheet file format, which is easy to arrange and analyze, which is useful in terms of management, and can be linked with other programs to make various applications. This is possible.

1 is a view showing the load data in the form of analog obtained from a sensor attached to a dynamic component through a helicopter flight test according to an embodiment of the present invention,
2 is a diagram briefly illustrating a process of converting input data in an unprocessed analog form into a spreadsheet file in accordance with an embodiment of the present invention;
3 is a diagram illustrating a signal per rotor revolution divided into input data of an unprocessed analog form according to an embodiment of the present invention.
4 is a block diagram schematically illustrating a series of processes for processing input data according to an embodiment of the present invention in a block diagram in order;
5 is a diagram illustrating data output by processing input data according to an embodiment of the present invention.
6 is a diagram illustrating a screen for processing data actually input according to an embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be embodied in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and is defined only by the appended claims, along with the full scope of the present invention, and all equivalents to which the claims are entitled. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those skilled in the art can easily carry out the present invention.

1 is a diagram showing load data in analog form obtained from a sensor attached to a dynamic component through a helicopter flight test according to an embodiment of the present invention, Figure 2 is not processed analog according to an embodiment of the present invention A diagram schematically illustrating a process in which input data in a form is processed and converted into a spreadsheet file.

As shown in the left side of Fig. 1 and 2, the raw data collected for each measurement parameter of the dynamic component in the present invention can be represented as a graph as shown in Figure 1, as shown in the left side of Figure 2 data in numerical form It can be represented as.

From raw helicopter test, raw raw data in the form of analogues per measurement parameter by the gauge of dynamic components is collected.The raw data is then converted into csv (Comma Seperated Values). Obtained as a file stored in the form of numerical values. The csv large file contains the load data according to time for each parameter. In detail, the csv file includes a predetermined delimiter at the front of the csv file. Data is divided and configured by a predetermined delimiter for each parameter.

As shown in FIG. 2, the raw data in analog form collected for each measurement parameter of the dynamic component is processed through a Post Data Treatment System (PDTS Program) that implements the method of the present invention, thereby spreading a spreadsheet. Static Load, Dynamic Load, and Occurrence are output in the form of file, etc. In this case, the spreadsheet file allocates one parameter value per parameter per sheet. It is desirable for facilitating analysis and management of data.

4 is a block diagram schematically illustrating a series of processes for processing input data according to an embodiment of the present invention in order.

As shown in Figure 4, a series of processes for processing the raw data of the analog type is first set by the user (S100), each measurement parameter obtained from the sensor attached to the dynamic component of the helicopter Step of receiving the raw data of the analog form (S200), classifying the received data into one cycle of the rotor (not shown), static load and dynamic load from the data value classified as one rotor rotation Obtaining a load (Dynamic Load), obtaining the highest and minimum values of the static and dynamic load for the entire history data (S300), classifying and classifying into a predetermined range (S400), the static / obtained in the step S300 Finding the class that corresponds to the dynamic load value, and increasing the frequency of occurrence of the class by one to count the number of static / dynamic load values (S500), unprocessed parameters And classifying the rotor one rotation period with respect to the data of the unprocessed parameters by determining whether there is the data of S, and counting the number of static / dynamic load values corresponding to the class for each classified class (S600); And outputting or storing the frequency of occurrence of each class calculated by the above step (S700).

Hereinafter, it will be described in detail for each step.

In step S100, the user first sets basic parameters such as the number of parameters, the threshold value of the marker signal, and the number of classes of static and dynamic loads. In this case, the number of parameters set by the user is used to determine the number of times of processing, that is, the number of repetitions in step S600 when processing analog data collected by parameters, and the threshold value of the marker signal is a rotor (Rotor). The rotor signal is judged to be rotated when the marker signal generated when) rotates above a certain level, and the rotor rotation period is clearly distinguished among the signal data for each parameter.The number of classes of static / dynamic load When classifying and classifying signal data for each parameter into a predetermined range, it is used to determine a range of classes to be classified.

In step S200, the user receives a load data by selecting a file in which the raw data of the analog form collected for each measurement parameter is stored in the dynamic component of the helicopter.

In this case, as shown in FIG. 3, the received load data is configured to use a marker signal output per revolution of the rotor in order to grasp information about one revolution of the rotor. Marker Threshold) Selects the marker signal above and classifies the rotor 1 rotation signal by parameter in the rotor 1 rotation cycle based on the selected signal.

In step S300, the static load and dynamic load values per one revolution of the rotor are obtained, and the maximum and minimum static / dynamic loads for the entire history data are obtained therefrom.

The maximum value (Max_i) and the minimum value (Min_i) are determined from data in the range corresponding to one rotation of the rotor divided by the marker signal (i-th rotor rotation = i-th rotation Start to i-th rotation End). Static load (Static Load_i) and dynamic load (Dynamic Load_i) to obtain through Table 1 below,

,

)을 구한다.In addition, the highest and lowest values for static and dynamic loads for the entire data of each parameter (

,

).

That is, using the marker signal and the above formula, the static load and the dynamic load of the entire historical data for each parameter are obtained, and the highest and lowest values are found.

In step S400, the static and dynamic loads are classified and classified into a predetermined range. The classified class searches the input data of the entire history and increases the frequency of occurrence in the corresponding class (step S500).

Using the number of static / dynamic classes preset in the first step S100 and the highest and lowest values for the static and dynamic loads obtained in the step S300, the range of classes is obtained through the equation as shown in Table 2 below.

If the static / dynamic class is displayed according to the range of the obtained class is shown in Table 3 below.

That is, if the relationship of Table 2 and Table 3 is shown again, it may be represented as Table 4 below.

As an example of classifying a class, when a parameter having a maximum value of 1,000 and a minimum value of -500 is classified into 10 classes, it may be expressed as shown in Table 5 below.

In step S500, the static load and the dynamic load value (STATIC, DYNAMIC) obtained from the data corresponding to one rotation of the rotor to find the corresponding class, the frequency of occurrence of the corresponding class is increased by one. As a result, the frequency of occurrence of which class and number of static / dynamic load values for the entire parameter data can be obtained. This process can be briefly shown in Table 6.

In step S600, it is determined whether there are other parameters in addition to the parameter for which the frequency of occurrence of the class is calculated.

If there are other parameters to be calculated, the steps from the step of classifying the rotor 1 rotation period to the number of static / dynamic load values corresponding to the class for each class are performed for the parameters. If not, the data is output to the screen or stored in a spreadsheet file format in step S700.

At this time, the data to be stored in the spreadsheet is preferably stored by dividing the sheet for each parameter, it is preferable that the frequency of occurrence for each class obtained in step S500 is stored in the sheet. If a class does not have a static / dynamic load value, that is, a class with a frequency of zero occurrence may not be displayed on the screen or stored in a file. This is because the processed data does not affect the cumulative calculation of fatigue damage, which is a subsequent task. By configuring the format of the file to be stored in the form of a spreadsheet file, it is easy to analyze and manage the processed data, and the utilization of the file is wider in consideration of linkage with other programs.

FIG. 5 is a diagram illustrating contents of a file processed by input data and stored in a spreadsheet file form according to an exemplary embodiment.

As shown in Figure 5, the range and frequency of occurrence of the class is stored in the form of a spreadsheet file, there is an advantage that can be easily sorted by the criteria such as the range of the class and the frequency of occurrence of the load can be efficiently analyzed and managed Do.

A screen for processing actual data implemented according to an embodiment of the above-described method is illustrated in FIG. 6.

Embodiments according to the present invention described above may be implemented in the form of program instructions that may be executed by various computer components, and may be recorded in a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. Program instructions recorded on the computer-readable recording medium may be those specially designed and configured for the present invention, or may be known and available to those skilled in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; optical media), and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules for performing the processing according to the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, Those skilled in the art will appreciate that various modifications and changes may be made thereto without departing from the scope of the present invention.

Therefore, the matters of the present invention should not be limited to the embodiments described above, and all of the equivalents or equivalents of the claims, as well as the claims described below, fall within the scope of the spirit of the present invention. I will say.

S100: user setting the default variable
S200: step of receiving analog data collected for each measurement parameter in the dynamic component
S300: Step of obtaining the static / dynamic load value per rotor revolution and finding the maximum and minimum values for the entire history data for each parameter
S400: classifying and classifying the entire history data for each parameter into a predetermined range
S500: Finding the class corresponding to the static / dynamic load value, and increasing the frequency of occurrence of the class by one
S600: determining whether there is an unprocessed parameter and processing the corresponding data in the same method
S700: step of outputting or storing the frequency of occurrence by class

Claims (8)

delete (a) receiving analog form data obtained from a sensor attached to a dynamic component of the helicopter and storing the data in a computer;
(b) classifying the data in analog form stored in the computer by one cycle of the rotor;
(c) obtaining a static load and a dynamic load from data classified by one rotor revolution;
(d) determining which class among the classes classified as the static load and the dynamic load value in a predetermined range;
(e) counting the number of static load and dynamic load values corresponding to each of the classified classes among all data corresponding to one parameter; And
(f) outputting the frequency of occurrence of the class to which the static load and the dynamic load value correspond to in the step (e) on the screen of the computer or storing as a file;
In the step (b), the rotor 1 rotation period is classified based on a marker signal obtained from the helicopter, and the marker signal is selected by selecting only a signal higher than or equal to a marker threshold value input from a user. Helicopter flight test data processing method, characterized in that based on the received signal.
3. The method of claim 2,
In the step (c)
The static load is characterized in that the value obtained by dividing the maximum value and the minimum value of the data value corresponding to one revolution of the rotor divided by two,
The dynamic load is a helicopter flight test data processing method, characterized in that the value obtained by subtracting the minimum value from the maximum value of the data value corresponding to one revolution of the rotor divided by two.
3. The method of claim 2,
In the step (d)
Helicopter flight test data processing method characterized in that the range of the class is obtained by dividing the maximum static / dynamic load value for the static / dynamic load of the entire signal minus the minimum static / dynamic load value by the number of classes received from the user .
3. The method of claim 2,
In the step (f)
The stored file is a helicopter flight test data processing method, characterized in that the file in the form of a spreadsheet.
6. The method according to any one of claims 2 to 5,
Between step (e) and step (f),
And determining that there are other parameters for which the frequency of occurrence has not been calculated, and if there are unprocessed parameters, performing the steps (b) to (e) on the data of the unprocessed parameters. How to process flight test data.
A computer-readable recording medium for recording a computer program for executing the method according to any one of claims 2 to 5.
A computer readable recording medium for recording a computer program for executing the method according to claim 6.

Images