CN116756217B - One-key telemetry data real-time processing and interpretation method and system - Google Patents
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Abstract
The application relates to a method and a system for processing and interpreting one-key telemetry data in real time, wherein the method comprises the following steps: establishing a test front end and a test back end, wherein the test front end receives telemetry data of a plurality of data sources, optimizes the telemetry data sources received in the same period, and then analyzes and stores the data of the optimized telemetry data sources; the test front end sends the data frame of the data analysis result to the test back end; and configuring parameter information and interpretation rules required to be interpreted by each professional at the test back end, acquiring a required parameter analysis result from the acquired result data frame according to the local configuration, and completing data interpretation. The application can realize the remote testing of the front end and the rear end of the carrier rocket test, the optimization of a plurality of telemetry data sources and improve the stability of data; the method realizes the real-time processing and interpretation of the one-key data, automatically generates the test report, reduces the manual operation and interpretation workload, and improves the test efficiency.
Description
Technical Field
The application relates to the technical field of rocket telemetry, in particular to a method and a system for processing and interpreting one-key telemetry data in real time.
Background
In the ground test process of the carrier rocket, telemetry data uploaded and downloaded by the rocket are required to be acquired, analyzed and interpreted to identify abnormal states and fault conditions of each single machine or subsystem on the rocket, and the health state and performance index of the carrier rocket are evaluated.
At present, in ground test of a carrier rocket, the processing and interpretation modes of telemetry data are mostly: the testing front end receives and stores original telemetry data in real time; after the test is finished, the saved telemetry data is analyzed and interpreted manually at the test back end. The real-time state on the arrow is lack of effective monitoring by the mode, more data analysis and interpretation work is concentrated in a rear-end workstation, and manual interpretation is sequentially carried out by each professional interpretation person, so that the efficiency is low. In addition, when there are multiple telemetry data sources, the poor quality of signal segments that occur for each data source creates significant difficulties in manual screening and interpretation.
Although part of carrier rockets start to introduce a telemetry data real-time analysis function in the test process, a great gap exists between the current quick response and quick test requirements and the real-time processing and interpretation of telemetry data of one-key type.
Disclosure of Invention
The application aims to provide a method and a system for processing and interpreting one-key telemetry data in real time, which realize remote testing of front and rear ends of a carrier rocket test and optimization of a plurality of telemetry data sources and improve the stability of the data; the method realizes the real-time processing and interpretation of the one-key data, automatically generates the test report, reduces the manual operation and interpretation workload, and improves the test efficiency.
The technical scheme of the application is as follows: a method for processing and interpreting one-key telemetry data in real time comprises the following steps: a test front end and a test back end;
the test front end receives telemetry data of a plurality of data sources, optimizes the telemetry data sources received in the same time period, and then analyzes and stores the data of the optimized telemetry data sources; the test front end sends the data frame of the data analysis result to the test back end;
and the test back end configures parameter information and interpretation rules required to be interpreted by each professional, acquires a required parameter analysis result from the acquired result data frame according to the local configuration, and completes data interpretation.
Further, before the test, the test back-end configures a report template according to the requirements of each specialty, and configures report elements and the generation modes thereof in a configuration file; after the test is finished, based on the obtained result data frame, generating corresponding report elements according to the configuration file, and inserting the report elements into a report template to generate a corresponding professional test report.
Further, the plurality of data sources comprise telemetry data of a plurality of network planes downloaded by the carrier rocket and telemetry data of different flight arcs forwarded by a plurality of ground measurement and control stations.
Further, data transmission is performed between the test front end and the test back end through Ethernet.
Further, the preferably performing the telemetry data source received in the same period of time includes: the data frames of each data source received within a period of time are acquired, the continuity of the frame count of each data frame within the period of time is checked, and the data source with the best continuity of the frame count is selected as the preferred telemetry data.
Further, the telemetry data includes slow variable, fast variable and switching variable downloaded in a frame or packet telemetry manner on an arrow.
Further, the testing front end gathers the data analysis results, forms a result data frame after unified framing, and forwards the result data frame to the testing network; the test back end obtains a result data frame from the test network.
Further, the back end of the test configures parameter information and interpretation rules required to be interpreted by each professional, the parameter information includes parameter index numbers, names, units and upper and lower parameter limits, the upper and lower parameter limits are related to the test stage, and corresponding test stage marks or values of related parameters are required to be configured.
Further, the reporting element includes: numerical text, graphs, tables;
storing the judged parameters into a parameter database in a form of a table;
the generation unit comprises a statistical calculation mode, a graph type, a graph name and row and column information of a table;
generating a numerical value according to a statistical calculation mode corresponding to the column name matching in the database, and completing the generation of a numerical value text;
according to the type of the corresponding curve graph and the name of the curve graph matched with the column names in the database, drawing and generating the curve graph are completed;
and according to the column name matching statistical calculation mode in the database and the row and column information of the corresponding table, completing the generation of the table.
The application also provides a one-key telemetry data real-time processing and interpretation system for executing the one-key telemetry data real-time processing and interpretation method, which comprises the following steps:
the data receiving module is used for receiving telemetry data forwarded by a plurality of data sources, storing the telemetry data in a first buffer area, storing the telemetry data in data storage equipment and sending the telemetry data to the data optimizing module;
the data optimization module is used for optimizing telemetry data sources received in the same time period;
the data processing module is used for acquiring the optimized telemetry data, carrying out data analysis on the optimized telemetry data source, writing the original data stream and analysis result data into the second buffer area in real time after the analysis, and continuously writing the data in the second buffer area into the local database in the background;
the data forwarding module is used for periodically acquiring analysis result data in the second buffer zone, summarizing the data results required to be interpreted by each professional, and forwarding to the test network after unified framing;
the data interpretation module is used for configuring parameter information and interpretation rules required by each professional in advance, acquiring a required parameter analysis result from the acquired result data frame according to the local configuration, and completing data interpretation.
Compared with the prior art, the application has the beneficial effects that:
the system comprises a testing front end (a service end) and a testing back end (a client end), wherein the physical position of the testing front end is required to be close to a carrier rocket, and a plurality of testing back ends are connected with the testing front end through an Ethernet without limitation of the physical position.
The application optimizes a plurality of telemetry data sources, solves the problems of manual screening, difficult interpretation and the like caused by unstable signal quality of the data sources, and improves the accuracy of data interpretation.
The application realizes the automatic generation of each professional test report, reduces the workload of manual operation and interpretation, and improves the test efficiency.
Drawings
FIG. 1 is a network topology diagram of a one-touch telemetry data real-time processing interpretation system of the present application;
FIG. 2 is a flow chart of a test front-end process;
FIG. 3 is a flow chart of the test back-end process.
Detailed Description
The embodiment of the application provides a one-key type telemetry data real-time processing and interpretation system, which aims at one-key type testing, realizes the real-time processing of telemetry data of multiple data sources in the front and rear end remote testing of a carrier rocket, meets the requirements of real-time interpretation and data processing of each specialty, and improves the real-time processing and interpretation efficiency of telemetry data.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments, and all other embodiments obtained by those skilled in the art based on the embodiments of the present application are within the scope of protection of the embodiments of the present application.
A one-key telemetry data real-time processing interpretation method comprises the following steps: the method comprises the steps of establishing a testing front end and a testing back end, wherein a network topological diagram is shown in fig. 1, and the system consists of the testing front end and the testing back end.
The testing front end comprises a data processing server (service end), corresponding telemetry data receiving equipment and data storage equipment, and the telemetry data receiving, optimizing, processing, forwarding and storing are completed; the test back end comprises a plurality of clients and is used for receiving and automatically judging result data, displaying in real time and automatically generating a test report. The physical position of the test front end is required to be close to the carrier rocket, and the test rear end is connected to the test front end through the Ethernet, so that the limitation of the physical position is avoided.
The one-key telemetry data real-time processing interpretation method specifically comprises the following steps:
s1, correspondingly establishing a plurality of connections by receiving equipment at the front end of the test, simultaneously receiving telemetry data of each arc segment sent by a plurality of data sources, placing the telemetry data into a first buffer area (queue) of data to be processed, and storing the telemetry data into data storage equipment, so that the risk of data overflow caused by that the data analysis speed cannot keep pace with the data reception is avoided.
Specifically, the testing front end receives the antenna and foundation data of a plurality of network planes uploaded and downloaded by the rocket and the telemetry data forwarded by each ground testing station, and all data sources are data downloaded by the rocket wirelessly, and have the same format and content but different signal quality. The remote measurement data forwarded by each ground station are the day and foundation data corresponding to different flight arcs when the carrier rocket flies.
And S2, after receiving the data, the telemetry data sent by each data source in different time periods has uneven signal quality, and the data with better signals in the same time period is selected for subsequent data processing.
Taking a PCM telemetry system as an example, taking the frame count of telemetry data frames uploaded and downloaded by an arrow as a mark, sequentially and continuously acquiring data frames sent by each data source received within a period of time, checking the continuity of the frame counts of each data frame within the period of time, namely taking a certain number of continuous frames, calculating the difference value of the frame counts between two adjacent frames, wherein the minimum sum of the difference values is the best continuity, and the data source with the best continuity of the frame counts is the preferred result, and waiting for analysis processing.
S3, carrying out data analysis and storage on the optimized telemetry data source;
taking the telemetry data downloaded from the arrow as an example, the data packet ID and the data analysis mode are configured according to the telemetry data format downloaded from each single machine on the arrow before testing. Specifically, according to the characteristics of the data, the data can be divided into three major categories of slow variable, speed variable and switching value, and the analysis type and the corresponding conversion calculation mode of the data are respectively configured.
Slow variable: the physical quantity which changes slowly with time is characterized in that the collection frequency is lower (such as temperature, pressure and the like), and the collected and downloaded value is the sensor voltage quantity which needs to be converted into the real physical quantity by the ground station;
speed variable: random physical quantity (such as vibration and impact) with more intense change along with time is characterized in that the acquisition frequency is higher, the instantaneous change is more intense, and the voltages in three directions of the lower sensor are acquired and converted into corresponding values by the ground station;
switching value: the on-off value (0/1) corresponding to each type of switch on the arrow is transmitted to the corresponding on-off state in different flight stages.
And acquiring the optimized original telemetry data, sequentially searching the configured data packet IDs, acquiring corresponding data according to the data length in the data packet IDs, and completing data analysis according to the analysis type and the corresponding conversion calculation mode of the corresponding data in the configuration.
The second buffer area is arranged in the data processing server and used for storing the latest analysis results of the total parameters, when one data packet is analyzed, the latest analysis results of the parameters in the second buffer area are updated to the result second buffer area, and the data analysis results buffered before are stored in the data storage device, so that the problem of low data processing efficiency caused by frequent io operation in the processing process can be prevented.
S4, the testing front end sends the data frame of the data analysis result to the testing back end;
according to the real-time display and interpretation requirements, the real-time analysis results in the second buffer area of the results are periodically obtained, the data results required to be interpreted by each professional are summarized, and after unified framing, the data results are pushed to the test back end through the test network.
The step S1-4 is completed by the front end of the test, and the whole process flow is shown in FIG. 2; the subsequent processing step S5-6 is completed by the test back end, and the whole processing flow is shown in FIG. 3.
S5, the test back end completes data real-time interpretation.
Before each professional is tested, parameter information to be interpreted and interpretation rules are required to be configured in advance; the parameter information includes parameter index number, name, unit, upper and lower limits of parameters, and the like. Wherein the upper and lower limits of the parameters are related to the test stage, and the corresponding test stage mark or the value of the related parameters is required to be configured.
In the test process, the test back end continuously monitors and receives the result data frames sent by the test front end, and each client selects the data results required to be interpreted in the field from the total data results according to configuration. And displaying the data result on a computer interface, completing real-time automatic interpretation according to the corresponding test stage or the upper and lower interpretation limits corresponding to the associated parameters, and displaying the interpretation result.
S6, the test back end completes automatic generation of a test report;
before each professional is tested, the test back end needs to be configured with report elements and the corresponding report element generation modes;
the report element includes: numerical text, graphs, tables, etc.; the generation mode of the configuration report element is that the mapping relation between the information such as the configuration data text, the table, the generated picture and the like and the data result is configured;
on one hand, the judged parameters are stored in a parameter database in the form of a table, and the table is shown as table 1;
TABLE 1
| Time/s parameter | Cowling air temperature | Wall temperature of engine bracket | Inertial measurement unit working voltage | Pressure of gas cylinder 1 |
| 0.1 | ||||
| 0.2 | ||||
| 0.3 | ||||
| ... |
Table 1 is only an example of a format in which the list names (fairing air temperature, engine mount wall temperature, inertial set operating voltage, cylinder 1 pressure, etc.) are parameters of interpretation.
On the other hand, a generating unit for configuring report elements in an xml file, wherein the generating unit comprises a statistical calculation mode, a type of a curve graph, a name of the curve graph, row and column information of a table and the like;
report elements are generated from two inputs (parameter database and xml configuration file), as follows:
generating a numerical value according to a corresponding statistical calculation mode of table column name matching in a parameter database, and completing generation of a numerical value text;
according to the type of the corresponding curve graph and the name of the curve graph matched with the column names in the database, drawing and generating the curve graph are completed;
and according to the column name matching statistical calculation mode in the database and the row and column information of the corresponding table, completing the generation of the table.
In addition, each professional needs to configure the report templates to be generated in advance. Taking word templates as an example, after each professional compiles a report template, inserting bookmarks in places required to be filled with test results, and configuring the corresponding relation between report elements and the bookmarks in an xml file, wherein the report elements comprise numerical text, graphs, tables and the like configured before.
After the test is finished, the test back end firstly acquires related data from the front-end data storage equipment through the Ethernet according to the xml configuration, and generates corresponding report elements such as numerical text, a graph, a table and the like. And filling numerical text, graph, table, other text and the like into the word template according to the corresponding relation between the report elements and the bookmarks in the word template, and storing the numerical text, the graph, the table, the other text and the like as a test report for relevant professionals to review.
Based on the same inventive concept, the application also provides a one-key telemetry data real-time processing interpretation system for executing the one-key telemetry data real-time processing interpretation method, which comprises
The data receiving module is used for receiving telemetry data forwarded by a plurality of data sources, storing the telemetry data sources into a first buffer area, storing the telemetry data into data storage equipment and simultaneously sending the telemetry data to the data optimizing module;
the data optimization module is used for optimizing telemetry data sources received in the same time period;
the data processing module is used for acquiring the optimized telemetry data, carrying out data analysis on the optimized telemetry data source, writing the original data stream and analysis result data into the second buffer area in real time after the analysis, and continuously writing the data in the second buffer area into the local database in the background;
the data forwarding module is used for periodically acquiring analysis result data in the data buffer, summarizing the data results required to be interpreted by each professional, and forwarding to the test network after unified framing;
the data interpretation module is used for configuring parameter information and interpretation rules required by each professional in advance, acquiring a required parameter analysis result from the acquired result data frame according to the local configuration, and completing data interpretation.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and device described above may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment of the application.
In addition, each functional module in the embodiment of the present application may be integrated in one processing module, or each module may exist alone physically, or two or more modules may be integrated in one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method for energy saving signal transmission/reception of the various embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application referred to in the present application is not limited to the specific combinations of the technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the inventive concept. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
It should be understood that, the sequence numbers of the steps in the summary and the embodiments of the present application do not necessarily mean the order of execution, and the execution order of the processes should be determined by the functions and the internal logic, and should not be construed as limiting the implementation process of the embodiments of the present application.
Claims (8)
1. A method for processing and interpreting one-key telemetry data in real time is characterized by comprising the following steps: establishing a testing front end and a testing back end;
the testing front end receives telemetry data of a plurality of data sources, the telemetry data are put into a first buffer area of data to be processed and stored in data storage equipment, the telemetry data sources received in the same time period are optimized, and then data analysis and storage are carried out on the optimized telemetry data sources; after analysis, writing the original data stream and analysis result data into a second buffer area in real time, and continuously writing the data in the second buffer area into a local database in the background; the test front end sends the data frame of the data analysis result to the test back end;
the test back end configures parameter information and interpretation rules required to be interpreted by each professional, acquires a required parameter analysis result from the acquired result data frame according to the local configuration, and completes data interpretation; the parameter information comprises parameter index numbers, names, units and parameter upper and lower limits, wherein the parameter upper and lower limits are related to a test stage, and corresponding test stage marks or values of related parameters are required to be configured;
the optimizing of the telemetry data source received in the same time period comprises the following steps: acquiring data frames of all data sources received within a period of time, checking the continuity of frame counts of all data frames within the period of time, and selecting the data source with the best continuity of frame counts as the preferable telemetry data;
the data analysis of the preferred telemetry data source comprises the steps of obtaining the preferred original telemetry data, searching the configured data packet ID in sequence, obtaining corresponding data according to the data length in the data packet ID, and completing the data analysis according to the analysis type and the corresponding conversion calculation mode of the corresponding data in the configuration.
2. The method for real-time processing and interpretation of one-key telemetry data according to claim 1, wherein the test back end configures report templates according to each professional requirement before testing, and configures report elements and generation modes thereof in configuration files; after the test is finished, based on the obtained result data frame, generating corresponding report elements according to the configuration file, and inserting the report elements into a report template to generate a corresponding professional test report.
3. The method for real-time processing and interpretation of one-key telemetry data according to claim 1, wherein the plurality of data sources comprise telemetry data of a plurality of network planes downloaded by a carrier rocket and telemetry data of different flight arcs forwarded by a plurality of ground measurement and control stations.
4. The method for real-time processing and interpretation of one-key telemetry data according to claim 1, wherein data transmission is performed between the test front end and the test back end via ethernet.
5. The method of claim 1, wherein the telemetry data includes slow, fast and switching values transmitted in a frame or packet telemetry manner on an arrow.
6. The method for real-time processing and interpretation of one-key telemetry data according to claim 1, wherein the test front end gathers the data analysis results, forms result data frames after unified framing, and forwards the result data frames to a test network; and the test back end acquires a result data frame from the test network.
7. The method for real-time processing and interpretation of one-touch telemetry data according to claim 2, wherein the report element comprises: numerical text, graphs, tables;
storing the judged parameters into a parameter database in a form of a table;
the generation unit comprises a statistical calculation mode, a graph type, a graph name and row and column information of a table;
generating a numerical value according to a statistical calculation mode corresponding to the column name matching in the database, and completing the generation of a numerical value text;
according to the type of the corresponding curve graph and the name of the curve graph matched with the column names in the database, drawing and generating the curve graph are completed;
and according to the column name matching statistical calculation mode in the database and the row and column information of the corresponding table, completing the generation of the table.
8. A one-key telemetry data real-time processing interpretation system for performing the one-key telemetry data real-time processing interpretation method as claimed in any one of claims 1 to 7, comprising:
the data receiving module is used for receiving telemetry data forwarded by a plurality of data sources, storing the telemetry data into a first buffer area, storing the telemetry data into data storage equipment and simultaneously sending the telemetry data to the data optimizing module;
the data optimization module is used for optimizing telemetry data sources received in the same time period;
the data processing module is used for acquiring the optimized telemetry data, carrying out data analysis on the optimized telemetry data source, writing the original data stream and analysis result data into the second buffer area in real time after the analysis, and continuously writing the data in the second buffer area into the local database in the background;
the data forwarding module is used for periodically acquiring analysis result data in the second buffer zone, summarizing the data results required to be interpreted by each professional, and forwarding to the test network after unified framing;
the data interpretation module is used for configuring parameter information and interpretation rules required by each professional in advance, acquiring a required parameter analysis result from the acquired result data frame according to the local configuration, and completing data interpretation.
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