CN116450994B - High-frequency telemetry data processing method, computing device and storage medium - Google Patents
High-frequency telemetry data processing method, computing device and storage medium Download PDFInfo
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Abstract
The application discloses a high-frequency telemetry data processing method, a computing device and a storage medium, which belong to the field of rocket telemetry data processing. The application can reduce the proportion of telemetry data occupied by high frequency data, and can carry out finer micro measurement on key links and important positions in rocket launching on the premise of not increasing transmission capacity, thereby more comprehensively evaluating rocket flight conditions.
Description
Technical Field
The present application relates to the field of rocket telemetry data processing, and in particular, to a high-frequency telemetry data processing method, a computing device, and a storage medium.
Background
In the process of launching the carrier rocket, the code rate of the telemetry system is lower, but according to the current development trend, the measurement of rocket name link parameters is thinner and thinner, and a great amount of test data is needed to verify the flight correctness in order to more comprehensively understand the rocket flight condition.
The high-frequency data are data with more data according to the number of the same data in the acquired telemetry data, the proportion of the telemetry data occupied by the high-frequency data is optimized, fine and micro measurement can be carried out in key links and important positions of the rocket, and the method can bring great help to fault positioning, fault analysis and improvement measures.
In daily practice, the inventor finds that the prior technical scheme has the following problems:
in the current rocket launching process, data are respectively acquired according to certain sampling frequency from high-frequency data in sensor parameters according to the characteristics of the high-frequency data, and all the acquired data are sent to a ground monitoring station through a telemetry system. The high-frequency data generated by the sensor on the rocket accounts for 39.1% of the whole telemetry data, and on the premise that the telemetry data volume is strictly limited, the high-frequency data occupies too high telemetry data duty ratio, so that finer micro-measurement of the carrier rocket in key links and important positions can not be realized, the telemetry of the carrier rocket has limitation, and the rocket flight condition can not be comprehensively known.
In view of the foregoing, it is necessary to provide a new solution to the above-mentioned problems.
Disclosure of Invention
In order to solve the technical problems, the application provides the high-frequency telemetry data processing method which can reduce the proportion of telemetry data occupied by high-frequency data, and can carry out finer and finer measurement on key links and important positions in rocket launching on the premise of not increasing transmission capacity so as to evaluate rocket flight conditions more comprehensively.
A method of high frequency telemetry data processing, comprising:
collecting telemetry data by using a sensor according to a set sampling frequency;
screening out high-frequency data according to the number of the same data in the acquired telemetry data;
fitting the acquired high-frequency data into a nonlinear curve through a polynomial according to the basic principle that the power function can approximate to an arbitrary function;
transmitting the polynomial parameters to a ground monitoring station through a telemetry system;
constructing a polynomial through polynomial parameters on the ground, calculating the numerical value of the polynomial, and participating in subsequent calculation by using the calculated numerical value.
Preferably, the sensor is used for collecting telemetry data according to a set sampling frequency, wherein the telemetry data is a two-dimensional array consisting of 64 channels and 240 main frames; the channels are located in rows of a two-dimensional array, and the master frames are located in columns of the two-dimensional array.
Preferably, the high frequency data screened according to the number of the same data in the acquired telemetry data comprises high frequency vibration data and noise data; wherein the frequency of occurrence of dither data in the channel table is 128; the noise data appears in the channel table with a frequency of 512.
Preferably, the polynomial of which the parameters are sent to the ground monitoring station by the telemetry system is a 7 th order polynomial.
Preferably, the polynomial is:
；
wherein ,a value that is high frequency data; />Polynomial coefficients for telemetry download; />For the xth sample data, the value starts from 1, depending on the frequency with which the high frequency data occurs in the telemetry channel.
Preferably, the acquired high frequency data is fitted into a nonlinear curve through a polynomial, and when a coordinate point formed by the high frequency vibration data and time is constructed, the time point is set to be an accumulated value which is sequentially accumulated from 1 according to the acquisition sequence of the telemetry data.
Preferably, when calculating the polynomial, the high frequency data storage data format occupies 32 data bits uniformly, and is used for storing 8 floating point type values, and the data bits are not arranged according to the frequency of the high frequency data in one frame of data.
Preferably, the constructing a polynomial through polynomial parameters at the ground surface and calculating the value thereof, and using the calculated value to participate in subsequent calculation comprises:
polynomial coefficients of each high-frequency data are obtained;
sequentially calculating specific values which are the same as the frequency number according to the sampling frequency of the high-frequency data;
converting the calculated numerical value which is the same as the frequency number into an integer according to a rounding principle;
using a polynomial corresponding to the sensor, calculating the value of the polynomial, and using the calculated value to participate in subsequent calculations.
According to another aspect of the present application, there is also provided a computing device including: a processor, a memory storing a computer program which, when executed by the processor, performs a high frequency telemetry data processing method as described.
According to another aspect of the application there is also provided a computer readable storage medium storing instructions that when executed on a computer cause the computer to perform the method of high frequency telemetry data processing.
Compared with the prior art, the application has at least the following beneficial effects:
1. the application can reduce the proportion of telemetry data occupied by high frequency data, and can carry out finer micro measurement on key links and important positions in rocket launching on the premise of not increasing transmission capacity, thereby more comprehensively evaluating rocket flight conditions.
2. According to the application, the high-frequency data accounting for 39.2% of the whole telemetry data can be reduced to 7.93% by polynomial fitting of the nonlinear curve, so that the proportion of the high-frequency data accounting for the telemetry data is effectively reduced.
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Some specific embodiments of the application will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. In the accompanying drawings:
FIG. 1 is a schematic overall flow chart of the present application;
FIG. 2 is a schematic diagram of a two-dimensional array of primary frames and channels in telemetry data.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, a high frequency telemetry data processing method includes the steps of:
and S1, acquiring telemetry data by using a sensor according to a set sampling frequency.
The frame format of the telemetry data is a two-dimensional array consisting of 64 channels and 240 main frames, the channels are arranged on rows of the two-dimensional array, the main frames are arranged on columns of the two-dimensional array, and each 1 row of the telemetry data comprises 240 data, as shown in fig. 2.
And S2, screening out high-frequency data according to the number of the same data in the acquired telemetry data.
The dither data refers to data in which the number of identical data appearing in a two-dimensional array of 64×240 consisting of 64 channels and 240 main frames is greater than 128, and only dither data and noise data satisfying this condition, wherein the dither data appears in the channel table at a frequency of 128, and the noise data appears in the channel table at a frequency of 512, which together occupy 94 channels. The statistics of the number of occupied subframes of each data type in the rocket telemetry data frame are shown in the following table.
Table 1 statistics of the number of subframes occupied by each data type in rocket telemetry data frames
And S3, fitting the acquired high-frequency data into a nonlinear curve through a polynomial according to a basic principle that the power function can approximate to an arbitrary function.
According to the basic principle that the power function can approximate any function, a polynomial is selected to fit a curve consisting of dither data and time constituent points. When the point formed by the dither data and the time is constructed, the time point can be written into an accumulated value from 1, and the accumulated values are accumulated in turn according to the acquisition sequence of the dither data. This way both the real time to acquire the value is known and easy to calculate.
The true time for the dither data acquisition can be obtained by:
；
wherein ,for the real time of the dither data acquisition, +.>For frame header time, +.>For the number of dither data appearing every 25ms, +.>Is the accumulated value.
After a large number of experiments are carried out, the best 7 th order polynomial is obtained by combining the two aspects of accuracy and calculation efficiency.
The polynomial is:
；
wherein ,a value that is high frequency data; />Polynomial coefficients for telemetry download; />For the xth sample data, it starts with a value of 1, i.e. the first noise data then X has a value of 1, the tenth noise data then X has a value of 10, and so on, depending on the frequency with which the high frequency data occurs in the telemetry channel.
By using a polynomial of order 7, it is known that 8 unknowns K0 to K7 need to be calculated, so the high frequency data storage data format occupies 32 data bits in a unified way, is used for storing 8 floating point type values, and no data bits are arranged according to the frequency of occurrence of the floating point type values in one frame of data.
The 8 floating point values from K0 to K7 are stored in sequence by adopting a 32-data bit storage mode. The polynomial fitting high-frequency data is adopted, the proper position to be put in the channel table is not required to be weighed according to the acquisition frequency, and the complexity of the channel table design is reduced.
And S4, transmitting the parameters of the polynomial to a ground monitoring station through a telemetry system.
And S5, constructing a polynomial through polynomial parameters on the ground, calculating the numerical value of the polynomial, and using the calculated numerical value to participate in subsequent calculation.
Specifically, the method comprises the following steps:
step S51, polynomial coefficients of each high-frequency data are acquired.
Step S52, calculating the specific numerical value which is the same as the frequency number according to the sampling frequency of the high-frequency data.
Step S53, converting the calculated numerical value which is the same as the frequency number into an integer according to the rounding principle.
Specifically, the number which is the same as the frequency number is calculated in sequence according to the sampling frequency of the high-frequency data to be a floating point number, and because the values sampled by the arrow are integers, the fitted values and the specific values have certain errors, the floating point number needs to be converted into the integer according to a rounding principle after the floating point value is calculated.
Step S54, calculating the numerical value of the polynomial by using the polynomial corresponding to the sensor, and participating in subsequent calculation by using the calculated numerical value.
According to another aspect of the present application, there is also provided a computing device including: a processor, a memory storing a computer program which, when executed by the processor, performs a high frequency telemetry data processing method as described.
According to another aspect of the application there is also provided a computer readable storage medium storing instructions that when executed on a computer cause the computer to perform the method of high frequency telemetry data processing.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (7)
1. A method of high frequency telemetry data processing, comprising:
collecting telemetry data by using a sensor according to a set sampling frequency;
screening out high-frequency data according to the number of the same data in the acquired telemetry data;
fitting the acquired high-frequency data into a nonlinear curve through a polynomial according to the basic principle that the power function can approximate to an arbitrary function;
transmitting the polynomial parameters to a ground monitoring station through a telemetry system;
constructing a polynomial through polynomial parameters on the ground, calculating the numerical value of the polynomial, and participating in subsequent calculation by using the calculated numerical value;
the high frequency data refers to data with the same data number more than 128 in a two-dimensional array of 64 x 240 consisting of 64 channels and 240 main frames;
the high frequency data screened according to the number of the same data in the acquired telemetry data comprises high frequency vibration data and noise data; wherein the frequency of occurrence of dither data in the channel table is 128; the frequency of occurrence of noise data in the channel table is 512;
fitting the acquired high-frequency data into a nonlinear curve through a polynomial, and setting the time point as an accumulated value which is sequentially accumulated from 1 according to the acquisition sequence of telemetry data when constructing a coordinate point formed by the high-frequency vibration data and time;
constructing a polynomial through polynomial parameters on the ground, calculating the value of the polynomial, and participating in subsequent calculation by using the calculated value, wherein the method comprises the following steps of:
polynomial coefficients of each high-frequency data are obtained;
sequentially calculating specific values which are the same as the frequency number according to the sampling frequency of the high-frequency data;
converting the calculated numerical value which is the same as the frequency number into an integer according to a rounding principle;
using a polynomial corresponding to the sensor, calculating the value of the polynomial, and using the calculated value to participate in subsequent calculations.
2. The high-frequency telemetry data processing method of claim 1, wherein the telemetry data is acquired by the sensor according to a set sampling frequency, and the telemetry data is a two-dimensional array consisting of 64 channels and 240 main frames; the channels are located in rows of a two-dimensional array, and the master frames are located in columns of the two-dimensional array.
3. The high frequency telemetry data processing method of claim 1 wherein the polynomial in which the parameters of the polynomial are transmitted to the surface monitoring station via the telemetry system is a 7 th order polynomial.
4. A method of high frequency telemetry data processing as claimed in claim 3 wherein the polynomial is:；
wherein ,a value that is high frequency data; />Polynomial coefficients for telemetry download; />For the xth sample data, the value starts from 1, depending on the frequency with which the high frequency data occurs in the telemetry channel.
5. The method of processing high frequency telemetry data of claim 4 wherein the polynomial is calculated in a data storage data format that collectively occupies 32 data bits for storing 8 floating point type values, the data bits no longer being arranged according to the frequency at which the high frequency data occurs in a frame of data.
6. A computing device, comprising: a processor, a memory storing a computer program which, when executed by the processor, performs the high frequency telemetry data processing method of any one of claims 1 to 5.
7. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the high frequency telemetry data processing method of any one of claims 1 to 5.
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