CN114490861A - Telemetry data analysis method, device, equipment and medium - Google Patents
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Abstract
The invention discloses a method, a device, equipment and a medium for analyzing telemetering data, wherein the method comprises the following steps: preprocessing the telemetering subframe stream to obtain m telemetering subframes which accord with a standard frame format; performing telemetering route selection on m telemetering subframes to obtain n types of route selection data, wherein m and n are positive integers; and analyzing the n types of route selection data to obtain a corresponding analysis result. By adopting the method and the device, the technical problems that a telemetry data analysis scheme in the prior art generates a large amount of repeated inefficient labor, the risk of analysis errors is high and the like can be solved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method, an apparatus, a device, and a medium for analyzing telemetry data.
Background
With the development of carrier rocket technology, the performance is continuously improved, the types of single machines on the rocket are gradually enriched, and the types of parameters transmitted by remote measurement are continuously increased, so that the volume of remote measurement data is larger. In addition, during a test of a carrier rocket, the real-time requirement on the analysis of the telemetering data is more strict, and the real-time and rapid analysis of the telemetering data with huge data volume is more urgent.
At present, the existing serial analysis mode with small data volume cannot meet the increasingly huge analysis requirement of telemetering data. Meanwhile, space launching activities are increasingly intensive, and various types and tasks are endless. According to the scheme that a launch arrow or a task in the prior art corresponds to a specific telemetering data real-time analysis scheme, too much repeated and inefficient labor is generated, the workload of designers is greatly increased, and the risk of telemetering data analysis errors is increased.
Therefore, it is important to provide a general telemetry data parsing scheme.
Disclosure of Invention
The embodiment of the application provides a telemetry data analysis method, a telemetry data analysis device, equipment and a telemetry data analysis medium, and solves the technical problems that a telemetry data analysis scheme in the prior art generates a large amount of repeated low-efficiency labor, and the risk of analysis errors is high.
In one aspect, the present application provides a telemetry data parsing method according to an embodiment of the present application, where the method includes:
preprocessing the telemetering subframe stream to obtain m telemetering subframes which accord with a standard frame format, wherein m is a positive integer;
performing telemetering route selection on the m telemetering subframes to obtain n types of route selection data, wherein n is a positive integer;
and analyzing the n types of route selection data to obtain a corresponding analysis result.
Optionally, the preprocessing the telemetry sub-frame stream to obtain m telemetry sub-frames conforming to a standard frame format includes:
and according to the preset subframe synchronous code and the telemetering subframe length, performing subframe synchronization and filtering useless information on the telemetering subframe stream to obtain m telemetering subframes.
Optionally, the performing telemetry routing on the m telemetry subframes to obtain n types of routing data includes:
according to the preset position information of various telemetering data, telemetering path selection is carried out on the m telemetering subframes to obtain n types of path selection data;
and caching the n types of route selection data into respective corresponding cache queues.
Optionally, the n types of take-over data include any one of: bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing.
Optionally, the analyzing the n types of road selection data to obtain a corresponding analysis result includes:
and according to the pre-configured data analysis information, performing data analysis in a corresponding frame format on the route selection data cached in each of the n cache queues to obtain a corresponding analysis result.
Optionally, before the pre-processing the telemetry sub-frame stream to obtain m telemetry sub-frames conforming to the standard frame format, the method further includes:
and pre-configuring frame analysis information in the constructed configuration library, wherein the frame analysis information at least comprises the subframe synchronous codes, the telemetry subframe length, the position information of various telemetry data and the data analysis information.
Optionally, the method further comprises:
and storing the analysis result into a preset file, or sending the analysis result to external equipment for display.
In another aspect, the present application provides a telemetry data parsing apparatus according to an embodiment of the present application, where the apparatus includes:
the processing module is used for preprocessing the telemetering subframe stream to obtain m telemetering subframes conforming to the standard frame format, wherein m is a positive integer;
the route selecting module is used for performing telemetering route selection on the m telemetering subframes to obtain n types of route selecting data, wherein n is a positive integer;
and the analysis module is used for analyzing the n types of route selection data to obtain a corresponding analysis result.
For the content that is not described or is not described in the embodiments of the present application, reference may be made to the related description in the foregoing method embodiments, and details are not repeated here.
On the other hand, the present application provides a terminal device according to an embodiment of the present application, where the terminal device includes: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete mutual communication; the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the telemetry data parsing method as described above.
In another aspect, the present application provides a computer-readable storage medium storing a program that, when executed on a terminal device, performs a telemetry data parsing method as described above.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: preprocessing a telemetering subframe stream to obtain m telemetering subframes conforming to a standard frame format, wherein m is a positive integer; performing telemetering path selection on the m telemetering subframes to obtain n types of path selection data, wherein n is a positive integer; and analyzing the n types of route selection data to obtain a corresponding analysis result. In the scheme, the remote sensing and road selection are carried out after the standardization of the remote sensing subframe stream, and the obtained various road selection data are subjected to universalization and convenient analysis, so that the universalization of the remote sensing data analysis is realized, the workload of designers is reduced, and the safety of data analysis and use is improved. Meanwhile, the technical problems that a telemetry data analysis scheme in the prior art generates a large amount of repeated low-efficiency labor, the risk of analysis errors is high and the like are solved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a telemetry data parsing method according to an embodiment of the present disclosure.
Fig. 2 is a schematic flow chart of another telemetry data parsing method provided in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a telemetry sub-frame according to an embodiment of the present disclosure.
Fig. 4 is a schematic flow chart of route selection data analysis according to an embodiment of the present disclosure.
Fig. 5 is a schematic structural diagram of a telemetry data analysis device according to an embodiment of the present disclosure.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
The applicant has also found in the course of the present application that: the Pulse Code Modulation (PCM) telemetry system is one of the existing telemetry systems, and data, slow data, speed variable, bus data and other information transmitted by a launch vehicle are encoded into PCM telemetry subframes. And receiving the telemetry subframe stream by the ground, analyzing various telemetry parameters in the telemetry subframe stream in real time, and storing an analysis result.
The embodiment of the application provides a telemetry data analysis method, and the technical problems that a telemetry data analysis scheme in the prior art generates a large amount of repeated low-efficiency labor, the risk of analysis errors is high and the like are solved.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows: preprocessing the telemetering subframe stream to obtain m telemetering subframes which accord with a standard frame format, wherein m is a positive integer; performing telemetering route selection on the m telemetering subframes to obtain n types of route selection data, wherein n is a positive integer; and analyzing the n types of route selection data to obtain a corresponding analysis result.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
First, it is stated that the term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a schematic flow chart of a telemetry data parsing method according to an embodiment of the present disclosure.
The method as shown in fig. 1 comprises the following implementation steps:
s101, preprocessing the telemetry subframe stream to obtain m telemetry subframes conforming to a standard frame format, wherein m is a positive integer.
In a specific embodiment, the method can perform subframe synchronization and filtering of useless information on the telemetry subframe stream according to a pre-configured subframe synchronization code and the telemetry subframe length to obtain m telemetry subframes. Specifically, after reading the telemetry subframe stream, the method searches the telemetry subframe stream according to the subframe synchronization code in the preconfigured data parsing information. And after the subframe synchronous code is searched, acquiring L bytes of data before the synchronous code, wherein L is the length of the telemetry subframe in the data analysis information. The data acquired at this time is the complete telemetry sub-frame with the sub-frame header removed. In this manner, m telemetry subframes of length L may be acquired sequentially, with m being a positive integer.
In some embodiments, the present application may pre-construct a configuration library, and then configure corresponding frame parsing information in the constructed configuration library, where the frame parsing information (also referred to as configuration information) may include, but is not limited to, telemetry subframe related information, location information of various parameters to be parsed (i.e., location information of telemetry data to be parsed), data parsing related information, and the like. The related information of the telemetry subframe can be, for example, a telemetry subframe length, a subframe synchronization code and the like, and the position information of various telemetry data can include, but is not limited to, the starting position P of various telemetry data in the telemetry subframe, the channel length Len occupied by the telemetry subframe, the counting position of the corresponding subframe and the like. The data analysis related information includes, but is not limited to, data types of various types of route selection data, analytical calculation formulas, attribute fields specific to various types of data analysis, and the like.
S102, telemetering and selecting paths for the m telemetering subframes to obtain n types of path selecting data, wherein n is a positive integer.
In a specific embodiment, the method can perform telemetering route selection on m telemetering subframes according to preset position information of various telemetering data to obtain n types of route selection data. And then caching the n types of route selection data into respective corresponding cache queues. Specifically, for m telemetry subframes with known length L, according to the starting position P and the data length Len of various telemetry data in the preset frame analysis information in the telemetry subframes, the starting position P is found in each telemetry subframe, the data with the length Len is read backwards, namely the route selection data, and the route selection data is stored in a cache queue corresponding to the telemetry data. Wherein the n types of pick data include any one of: bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing. The detailed description of the various types of routing data will be provided later in this application and will not be repeated here.
S103, analyzing the n types of road selection data to obtain a corresponding analysis result.
According to the method and the device, the data analysis of the corresponding frame format can be carried out on the way selecting data cached in the cache queues respectively for n according to the pre-configured data analysis information, and the corresponding analysis result is obtained. Optionally, the analysis result can be stored in a preset file or sent to an external device for display.
Please refer to fig. 2, which is a flowchart illustrating another telemetry data parsing method according to an embodiment of the present disclosure. The method as shown in fig. 2 comprises the following implementation steps:
s201, creating a configuration library, and configuring corresponding frame parsing information (also referred to as configuration information) in the configuration library.
The frame parsing information includes, but is not limited to, telemetry subframe related information configured by a system, location information of various telemetry data, data parsing related information, and the like. Wherein the telemetry subframe related information comprises: the subframe length L and the subframe synchronization code F0 are telemetered. The position information of each type of telemetering data comprises the initial position P and the occupied channel length of each type of telemetering data in a telemetering subframe. The data analysis related information includes common attributes such as the name, initial value, data type, calculation formula of parameter analysis, etc. of the parameter (i.e. telemetry data), and attribute fields specific to various types of data analysis.
Please refer to fig. 3, which illustrates a structure diagram of a telemetry sub-frame required to be parsed in the present application. The telemetry sub-frame shown in FIG. 3 includes a telemetry sub-frame header, a sub-frame data field, and a synchronization code. The sub-frame data field contains data to be analyzed (namely telemetry data) which is divided into: bit data, slow variable, fast variable, bus data, and subframe count. The telemetry data is located at the corresponding channel position of the subframe data field.
Correspondingly, the specific attribute fields of the telemetry data of the application are as follows:
the unique attribute field of bit data includes: the bit position of the bit data;
the specific attribute fields of the buffer variables include: counting the positions of channels and the corresponding remainders of the frames corresponding to the modulus subframe;
the unique attribute fields of the speed variable include: frame length, synchronization code F1, frame count position, etc.;
the specific field attributes of the bus data are determined by the type of bus used and the type of data to be parsed. In this example, CAN bus data, and the specific attributes include: ID number, offset, data type, etc.;
the specific attribute field of the subframe count includes: the high, medium and low bits in the sub-frame structure each occupy one byte.
S202, reading a configuration library, and acquiring all frame analysis information configured in the configuration library.
S203, acquiring a telemetering subframe stream, and performing subframe synchronization and frame header useless information filtering on the telemetering subframe stream to obtain a telemetering subframe with a standard format.
Reading the telemetry subframe stream, and searching subframe synchronous codes F0 in configuration information; when a synchronous code F0 is searched, acquiring L byte data before the synchronous code, wherein L is the length of a telemetering subframe in the configuration information; the data acquired at this time is a complete telemetry sub-frame with the sub-frame header removed. In this manner, each telemetry subframe of length L may be acquired sequentially.
And S204, carrying out data routing on the telemetry sub-frame according to the position information of the various telemetry data obtained in the S202 on the obtained telemetry sub-frame with the standard format, and respectively storing the obtained various routing data into a buffer queue.
The various types of routing data related to the present application include, but are not limited to, bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing. Wherein:
bit data path selection: according to the position of the telemetry subframe of the bit data in the configuration library, the byte data in the corresponding position is stored into a bit data buffer queue Q1.
And (3) selecting a path according to a slow variable: the amount of buffering is typically downloaded in a modulo subframe format, and the present invention takes the example of T sets of telemetry subframes downloading a complete set of modulo subframes. And (4) picking out corresponding data according to the buffer variables in the configuration library and the positions of the telemetry subframes where the corresponding module subframe counts are located, and storing the corresponding data into a buffer variable buffer queue Q2.
Speed variable road selection: picking out corresponding data according to the position of a telemetry subframe where a medium-speed variable in a configuration library is located and the length of the medium-speed variable in one telemetry subframe, and storing the corresponding data into a speed variable cache queue Q3;
bus data path selection: picking out corresponding data according to the position of a telemetry subframe where the bus data are located in the configuration library and the length of the bus data in one telemetry subframe, and storing the corresponding data into a variable cache queue Q4;
and (3) counting subframes and selecting paths: according to the position of the telemetry subframe where the subframe count in the configuration library is located, the high, middle and low bits of the subframe count are picked out together, and 3 bytes are stored into a frame count buffer queue Q5. Please also refer to fig. 4, which shows a flow chart of telemetry data routing and parsing.
And S205, respectively reading the cache queues corresponding to each type of route selection data, performing data analysis according to the data analysis related information obtained in S202, and writing the analysis result into the corresponding cache queues.
The method can read corresponding various types of route selection data from the route selection data cache queue respectively, and performs data analysis, and the analysis method comprises the following steps:
bit data analysis: the Bit data occupies 1Bit in the telemetry subframe, the way-selecting data of the 1Byte Bit data is read from the Q1 each time, the Bit position of the Bit data in the configuration library is directly positioned to the corresponding position, the 0/1 state of the Bit data is obtained, and the analysis result is written into the cache.
Analysis of the slow variation: the Data in the Q2 is read, and the byte Data of the position where the slow variable is located is obtained. Acquiring the frame counting low order of the modulus subframe where the slow variation is located, converting the frame counting low order into a decimal number SL, and determining the parameter meaning represented by the modulus subframe in the telemetry subframe by calculating the remainder value of SL% T and corresponding to the remainder value of the slow variation in the configuration library; and converting the Data into decimal numbers, substituting the decimal numbers into a calculation formula of the slowly-varying quantity in the configuration library to obtain a final analysis result, and writing the analysis result into a cache.
Analysis of speed variation: the data stream in Q3 is read, and sub-frame synchronization is performed according to the variable rate sub-frame synchronization code F1 in the configuration library. And after synchronization, analyzing the related parameters according to the analysis protocol of the speed variable. In each speed variable subframe of the embodiment, the time is matched with the speed variable parameter of each path. The timing time of the first sampling value in the speed variable subframe is the frame timing time (the telemetry time calculated according to the subframe count), and other sampling values in the frame are subjected to equal interval timing. For example: the timing time of the second sampling value of a certain path of speed variable parameter is equal to the timing time of the first sampling value + T/n × 1, the timing time of the third sampling value is equal to the timing time of the first sampling value + T/n × 2, and so on, wherein n is the number of times of sampling output of the parameter in each speed variable subframe, and T is the period of a speed variable quantum frame.
Bus data analysis: taking the CAN bus data in this example as an example, the CAN data frame format is: frame header + CAN ID + CAN data. And reading the data stream in the Q4, after finding the frame header, reading the CAN ID, matching the CAN ID with the CAN ID in the configuration library to determine the meaning of the parameters represented by the group of CAN frames, analyzing according to the data type and the calculation formula corresponding to the parameters, and storing the analysis result in the corresponding result cache queue. In practical application, the configuration can be flexibly configured according to the type and the protocol of the adopted bus.
And (3) subframe counting and analyzing: and reading the data in the Q5 by taking 3 bytes as a group, analyzing each byte into 10-system data which respectively correspond to the high, middle and low bits of the frame count, and storing the analysis result into a corresponding result buffer queue.
S206, monitoring the information of each analysis result cache queue, acquiring each analysis result, and storing the analysis result in a file or providing the analysis result to external equipment for real-time display.
The invention adopts a high concurrency mode to realize the rapid analysis of huge telemetering data so as to meet the real-time requirement. The specific expression is that S203, S204, S205 and S206 can be developed in parallel, and on the other hand, the adjacent S203, S204, S205 and S206 have a logical sequence. The problem of low efficiency of serial mode reading and analysis is solved, the step is simple, easily realize, and the practicality is stronger. Meanwhile, the universality of the telemetry data analysis tasks of different types and different tasks is realized in a library configuration mode. The change of models and tasks can be adapted only by changing the configuration library, the workload of designers is greatly reduced, and the use safety is improved. The method is successfully applied to the telemetering data real-time analysis work of rockets of certain models, and does not need to change programs, so that a better effect is achieved.
Compared with the prior art, the invention has the following advantages: firstly, the real-time analysis of the PCM system telemetry data with high code rate can be realized. The invention adopts a high-concurrency working mode, and the steps of data path selection, various parameter analysis, result storage and the like are simultaneously operated. And executing each corresponding step by monitoring the available data length of the cache queue occupied by each thread, so as to realize the serial in logic and the parallel in operation. The purpose of quickly analyzing a large amount of telemetering data which is flooded in real time is achieved. Secondly, the universality requirements of different models and tasks are met. The telemetry frame format and the position information, the analysis information and the like of the parameters to be analyzed are described in the form of a configuration library. The configuration library is adjusted according to actual requirements, so that the purpose of generalization is achieved.
Based on the same inventive concept, another embodiment of the present application provides a device and a terminal device corresponding to the method for analyzing telemetry data in the embodiment of the present application.
Fig. 5 is a schematic structural diagram of a telemetry data analysis device according to an embodiment of the present disclosure. The apparatus shown in fig. 5 includes a processing module 501, a path selecting module 502, and an analyzing module 503, wherein:
the processing module 501 is configured to pre-process a telemetry subframe stream to obtain m telemetry subframes conforming to a standard frame format, where m is a positive integer;
the route selecting module 502 is configured to perform telemetry route selection on the m telemetry subframes to obtain n types of route selecting data, where n is a positive integer;
the analyzing module 503 is configured to analyze the n types of route selection data to obtain a corresponding analysis result.
Optionally, the processing module 501 is specifically configured to:
and according to the preset subframe synchronous code and the telemetering subframe length, performing subframe synchronization and filtering useless information on the telemetering subframe stream to obtain m telemetering subframes.
Optionally, the route selecting module 502 is specifically configured to:
according to the preset position information of various telemetering data, telemetering path selection is carried out on the m telemetering subframes to obtain n types of path selection data;
and caching the n types of route selection data into respective corresponding cache queues.
Optionally, the n types of take-over data include any one of: bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing.
Optionally, the parsing module 503 is specifically configured to:
and according to the pre-configured data analysis information, performing data analysis in a corresponding frame format on the route selection data cached in each of the n cache queues to obtain a corresponding analysis result.
Optionally, before the pre-processing of the telemetry sub-frame stream to obtain m telemetry sub-frames conforming to the standard frame format, the apparatus further includes a configuration module 504, where:
the configuration module 504 is configured to pre-configure frame parsing information in a configured configuration library, where the frame parsing information at least includes the subframe synchronization code, the telemetry subframe length, the location information of each type of telemetry data, and the data parsing information.
Optionally, the processing module 501 is further configured to store the analysis result in a preset file, or send the analysis result to an external device for display.
Please refer to fig. 6, which is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device 60 shown in fig. 6 includes: at least one processor 401, a communication interface 602, a user interface 603 and a memory 604, wherein the processor 601, the communication interface 602, the user interface 603 and the memory 604 may be connected by a bus or by other means, and the embodiment of the present invention is exemplified by being connected by the bus 605. Wherein the content of the first and second substances,
The communication interface 602 may be a wired interface (e.g., an ethernet interface) or a wireless interface (e.g., a cellular network interface or using a wireless local area network interface) for communicating with other terminals or websites. In an embodiment of the present invention, the communication interface 602 is specifically configured to obtain a telemetry sub-frame stream.
The user interface 603 may specifically be a touch panel, including a touch screen and a touch screen, for detecting an operation instruction on the touch panel, and the user interface 603 may also be a physical button or a mouse. The user interface 603 may also be a display screen for outputting, displaying images or data.
preprocessing the telemetering subframe stream to obtain m telemetering subframes which accord with a standard frame format, wherein m is a positive integer;
performing telemetering route selection on the m telemetering subframes to obtain n types of route selection data, wherein n is a positive integer;
and analyzing the n types of route selection data to obtain a corresponding analysis result.
Optionally, the preprocessing the telemetry sub-frame stream to obtain m telemetry sub-frames conforming to a standard frame format includes:
and according to the preset subframe synchronous code and the telemetering subframe length, performing subframe synchronization and filtering useless information on the telemetering subframe stream to obtain m telemetering subframes.
Optionally, the performing telemetry routing on the m telemetry subframes to obtain n types of routing data includes:
according to the preset position information of various telemetering data, telemetering path selection is carried out on the m telemetering subframes to obtain n types of path selection data;
and caching the n types of route selection data into respective corresponding cache queues.
Optionally, the n types of take-over data include any one of: bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing.
Optionally, the analyzing the n types of road selection data to obtain a corresponding analysis result includes:
and according to the pre-configured data analysis information, performing data analysis in a corresponding frame format on the route selection data cached in each of the n cache queues to obtain a corresponding analysis result.
Optionally, before the pre-processing of the telemetry sub-frame stream to obtain m telemetry sub-frames conforming to the standard frame format, the processor 601 is further configured to:
and pre-configuring frame analysis information in the constructed configuration library, wherein the frame analysis information at least comprises the subframe synchronous codes, the telemetry subframe length, the position information of various telemetry data and the data analysis information.
Optionally, the processor 601 is further configured to:
and storing the analysis result into a preset file, or sending the analysis result to external equipment for display.
Since the terminal device described in this embodiment is a terminal device used for implementing the method in this embodiment, based on the method described in this embodiment, a person skilled in the art can understand the specific implementation manner of the terminal device in this embodiment and various variations thereof, so that a detailed description of how to implement the method in this embodiment by the terminal device is omitted here. The terminal device adopted by a person skilled in the art to implement the method in the embodiment of the present application is within the scope of the protection intended by the present application.
The technical scheme in the embodiment of the application at least has the following technical effects or advantages: preprocessing a telemetering subframe stream to obtain m telemetering subframes conforming to a standard frame format, wherein m is a positive integer; performing telemetering route selection on the m telemetering subframes to obtain n types of route selection data, wherein n is a positive integer; and analyzing the n types of route selection data to obtain a corresponding analysis result. In the scheme, the remote sensing and road selection are carried out after the standardization of the remote sensing subframe stream, and the obtained various road selection data are subjected to universalization and convenient analysis, so that the universalization of the remote sensing data analysis is realized, the workload of designers is reduced, and the safety of data analysis and use is improved. Meanwhile, the technical problems that a telemetry data analysis scheme in the prior art generates a large amount of repeated inefficient labor, the risk of analysis errors is high and the like are solved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A telemetry data parsing method, comprising:
preprocessing the telemetering subframe stream to obtain m telemetering subframes which accord with a standard frame format, wherein m is a positive integer;
performing telemetering route selection on the m telemetering subframes to obtain n types of route selection data, wherein n is a positive integer;
and analyzing the n types of route selection data to obtain a corresponding analysis result.
2. The method of claim 1, wherein pre-processing the stream of telemetry sub-frames to obtain m telemetry sub-frames compliant with a standard frame format comprises:
and according to the preset subframe synchronous code and the telemetering subframe length, performing subframe synchronization and filtering useless information on the telemetering subframe stream to obtain m telemetering subframes.
3. The method of claim 1, wherein the telemetry routing of the m telemetry sub-frames to obtain n types of routing data comprises:
according to the preset position information of various telemetering data, telemetering path selection is carried out on the m telemetering subframes to obtain n types of path selection data;
and caching the n types of route selection data into respective corresponding cache queues.
4. The method of claim 3, wherein the n types of pick data comprise any one of: bit data routing, slow variable routing, fast variable routing, bus data routing, and subframe count routing.
5. The method according to claim 3, wherein the analyzing the n types of the route selection data to obtain corresponding analysis results comprises:
and according to the pre-configured data analysis information, performing data analysis in a corresponding frame format on the route selection data cached in each of the n cache queues to obtain a corresponding analysis result.
6. The method of any of claims 1-5, wherein prior to pre-processing the stream of telemetry sub-frames to obtain m telemetry sub-frames conforming to a standard frame format, the method further comprises:
and pre-configuring frame analysis information in the constructed configuration library, wherein the frame analysis information at least comprises the subframe synchronous codes, the telemetry subframe length, the position information of various telemetry data and the data analysis information.
7. The method of claim 5, further comprising:
and storing the analysis result into a preset file, or sending the analysis result to external equipment for display.
8. A telemetry data parsing apparatus, comprising:
the processing module is used for preprocessing the telemetering subframe stream to obtain m telemetering subframes conforming to the standard frame format, wherein m is a positive integer;
the path selecting module is used for performing telemetering path selection on the m telemetering subframes to obtain n types of path selecting data, wherein n is a positive integer;
and the analysis module is used for analyzing the n types of route selection data to obtain a corresponding analysis result.
9. A terminal device, characterized in that the terminal device comprises: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete mutual communication; the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the telemetry data parsing method of any one of claims 1-7 above.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program that executes the telemetry data parsing method according to any one of claims 1 to 7 when the program is run on a terminal device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115001564A (en) * | 2022-05-18 | 2022-09-02 | 中国西安卫星测控中心 | Real-time route selection method for telemetering data of solid carrier |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105306526A (en) * | 2015-09-11 | 2016-02-03 | 中国人民解放军63796部队 | High thrust rocket high flow telemetry data processing method |
| CN109978499A (en) * | 2019-03-18 | 2019-07-05 | 张东 | A kind of subsequent telemetry immediate processing method of more survey stations |
-
2022
- 2022-01-27 CN CN202210103299.8A patent/CN114490861A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105306526A (en) * | 2015-09-11 | 2016-02-03 | 中国人民解放军63796部队 | High thrust rocket high flow telemetry data processing method |
| CN109978499A (en) * | 2019-03-18 | 2019-07-05 | 张东 | A kind of subsequent telemetry immediate processing method of more survey stations |
Non-Patent Citations (1)
| Title |
|---|
| 卢长海 等: ""某型遥测地面站实时处理系统设计与实现"", 《信息技术与网络安全》, vol. 38, no. 10, 10 October 2019 (2019-10-10), pages 45 - 49 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115001564A (en) * | 2022-05-18 | 2022-09-02 | 中国西安卫星测控中心 | Real-time route selection method for telemetering data of solid carrier |
| CN115001564B (en) * | 2022-05-18 | 2023-07-04 | 中国西安卫星测控中心 | Real-time road picking method for telemetry data of solid carrier |
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