CN102707307A - Processing method for real-time data from lunar satellite high-energy solar particle detector - Google Patents
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Abstract
The invention discloses a processing method for real-time data from a lunar satellite high-energy solar particle detector. The processing method mainly includes processing a lunar satellite high-energy solar particle payload downlink data package, resolving scientific data and engineering data, correcting the data, eliminating various deviation existing in detecting data and the engineering data, and subjecting the detecting data and the engineering data to real-time data monitor display by means of software. According to the processing method for the real-time data from the lunar satellite high-energy solar particle detector, the in-orbit run control of the lunar satellite high-energy solar particle detector is facilitated to be achieved, the normal work of the detector is guaranteed, the correct and effective scientific detecting data are acquired, and the real-time processing of data from a high-energy particle detector for a lunar satellite or other deep space detection satellites is supported.
Description
Technical field
The present invention relates to a kind of data processing method, especially a kind of method that moonik solar energetic particles detector real time data is handled.
Background technology
It is one of main contents of moonik useful load operational management that the real time monitoring of detector data shows; Its objective is through real time monitoring and show judgement detector duty detector data; Interpretation detector data quality is found the detector operation irregularity in real time and is handled.The detector data real time monitoring shows it mainly is to handle scientific exploration instrument downlink data source bag; Resolve science data and project data; Correction data is eliminated the various deviations that exist in science data and the project data, utilizes software to science data with project data is kept watch on and interpretation at last.
Moonik scientific exploration instrument solar energetic particles detector real time data is kept watch on and is shown; Need interpret data source bag; Processing obtains the telemetry parameter data of Instrument working state parameter, instrument; And the scientific exploration data, utilize the monitoring software Platform Implementation that the running status and the quality of data of solar energetic particles detector are kept watch on.
Solar energetic particles detector (High-energy Particle Detector; HPD) core of real time monitoring video data processing is the processing of scientific exploration data and project data; They by raw data through frame synchronization, descrambling, RS decoding, data framing, Channel Processing, load subpackage, unpack, obtain after the physical quantity conversion, and binding data source information shows in monitoring interface.
Moonik and earth satellite data down transmission have than big-difference, and earth satellite passes by more frequent, or are in geostationary orbit, therefore can realize instant Data Receiving.And moonik has only the part-time section to get into the observation segmental arc in orbit in the process every day, and during this period, the Ground Application system just can receive the science data of biography satellite under.So each data down transmission time is long, data volume is big.Therefore, need be according to the characteristics design data processing of detector and the method that shows.At present, the method for still not having relevant processing and supervision moonik solar energetic particles detector real time data both at home and abroad.Therefore, in order to keep watch on and check solar energetic particles detector real-time working state and detection data quality, need design one cover science and handle and keep watch on the method for real time data effectively.Through repetition test repeatedly, the present invention sums up a cover science and handles and keep watch on the method for moonik solar energetic particles detector real time data effectively.
Summary of the invention
In order to overcome the above-mentioned defective of prior art; The invention provides a kind of disposal route of moonik solar energetic particles detector data; Mainly be that moonik solar energetic particles useful load downlink data source bag is handled, resolve science data and project data, correction data; Eliminate the various deviations that exist in science data and the project data, then science data and project data are carried out real time data supervision demonstration.
For achieving the above object, the present invention proposes a kind of method that moonik solar energetic particles detector data is handled in real time, it is characterized in that this method may further comprise the steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2 is carried out to frame data processing to the original bit stream data that receive, and obtains a plurality of one-tenth frame data, and said framing data processing comprises frame synchronization, goes to disturb, RS decoding and data framing;
Step 3 according to the virtual channel identification of carrying in the said one-tenth frame data, is extracted into the data of specific virtual channel in the frame data, and the valid data byte of taking out wherein forms the pseudo channel data;
Step 4; According to the useful load application identifier of prior agreement the data of solar energetic particles detector are come out to form the data source APMB package of binary format from the pseudo channel extracting data, and in the quality of data information formation source bag data of last interpolation one byte of each source APMB package;
Step 5, the source bag data that step 4 is obtained unpack processing, obtain a plurality of data blocks;
Step 6, the science data piece in the data block that step 5 is obtained converts enumeration data into, and wherein project data piece is carried out the physical quantity conversion, with correction data, eliminates the various deviations that exist in the data block;
Step 7 shows through the data after changing step 6 in client monitors.
Pass through above-mentioned steps; The present invention can realize the real-time processing of moonik solar energetic particles detector data; In processing procedure, accomplish correction to data; Eliminate the various deviations that exist in science data and the project data, the satellite original bit stream data solver that receives the most at last is science data and project data.Science data after the processing and project data can show through the monitoring software platform in real time.The surface work personnel can be in the process that satellite data receives, real time monitoring and check solar energetic particles detector operation state and detection data quality.If satellitosis or detection data occur unusual, the ground staff can in time handle abnormal conditions, guarantees normally carrying out of detector scientific exploration work.
The present invention helps to realize the control in orbit of moonik Detector for High Energy Particles, guarantees that detector is in proper working order, obtains correct, effective scientific exploration data.Simultaneously, the present invention is based on moonik characteristics in orbit, set up a kind of disposal route of real time data, for the real-time processing of the Detector for High Energy Particles data of moonik or other survey of deep space satellites provides support.
Description of drawings
Fig. 1 is the process flow diagram of moonik solar energetic particles detector data real-time processing method of the present invention.
Fig. 2 is according to client monitors display interface of the present invention.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, below in conjunction with specific embodiment, and with reference to accompanying drawing, to further explain of the present invention.
As shown in Figure 1, the invention provides a kind of method that moonik solar energetic particles detector data is handled in real time, this method may further comprise the steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2 is carried out to frame data processing to the original bit stream data that receive, and obtains a plurality of one-tenth frame data, and is specific as follows:
Step 2.1, frame synchronization: the frame by bit (bit) is searched in the original bit stream data is same
Step head " 1ACFFC1D " begins 512 bytes of intercepting from the frame synchronization head and forms a plurality of initial data frame;
Step 2.2 goes to disturb: carry out exclusive-OR operation one by one with frame synchronization 508 later bytes in the scrambler of 508 bytes and the initial data frame, so that initial data frame is gone to disturb;
Step 2.3; RS decoding: the RS sign indicating number that spends last 64 bytes in the initial data frame (512 bytes) after disturbing carries out RS decoding to initial data frame; And the data after the record RS decoding; Generate the quality of data information (first byte is represented wrong bit number, and second byte represented error correction rate) of two bytes simultaneously;
Step 2.4, the data framing: the quality of data information composition size that will pass through Frame (512 byte) and said two bytes after the RS decoding is the frame data that become of 514 bytes.
Step 3, separate frame along separate routes: according to becoming the virtual channel identification of carrying in the frame data, be extracted into the data of specific virtual channel in the frame data, the valid data byte of taking out wherein forms the pseudo channel data, and is specific as follows:
According to the pseudo channel information that becomes in the frame data structure; Be specified to the pseudo channel that comprises in the frame data; Said pseudo channel is a kind of data-transmission mode of ground and satellite agreement, and different data contents transmits in different pseudo channels, such as; Set the detection data that pseudo channel A1 is used for the transmitting satellite useful load among the present invention, pseudo channel C is used for the real-time project data (A1 and C are the virtual channel identifications of arranging in advance) of transmitting satellite payload data management system.For the A1 pseudo channel; 436 valid data bytes of removing in the one-tenth frame data that receive behind frame synchronization head, virtual channel identification and the RS sign indicating number are taken out; Form A1 pseudo channel data; And being formed into the statistical information of frame data simultaneously, said statistical information comprises the number of the one-tenth frame data that form in the original bit stream data, and becomes discrete date frame information information such as (such as the number and the frame numbers of discrete date frame) in the frame data stream.
Step 4; Branch load source bag: the data source APMB package that the data of solar energetic particles detector is come out to form binary format from the pseudo channel extracting data according to the useful load application identifier of prior agreement; And in the quality of data information formation source of last interpolation one byte of each source APMB package the bag data, specific as follows:
The data of solar energetic particles detector are included in the A1 pseudo channel; According to the useful load application identifier to separating along separate routes pseudo channel data behind the frame and decompose and extracting; Said useful load application identifier is used to indicate the load source of data; Indicate that promptly these data are to come from the solar energetic particles detector, or other load.The HPD data that will extract from the A1 pseudo channel are formed the data source APMB package of binary format, and in the quality of data information of last interpolation one byte of each source APMB package (being the wrong bit number during data RS decoding in the APMB package of source), formation source bag data.
The form of source bag data is following:
Wherein, the science data of 484B further are divided into 44 groups of data, and every group of size of data is 11B.
Step 5, the source bag data that step 4 is obtained unpack processing, obtain a plurality of data blocks;
In the process that real time data receives, in order to improve the quality of reception of data, the original bit stream data that satellite passes down can be received by two or more land stations simultaneously, and the data content that each land station receives is identical.When the quantity of land station when being two or more, before source bag data are unpacked, can be optimized processing to the source bag data that said two or more land stations receive, specific as follows:
The optimization of source bag data is meant in the identical solar energetic particles detector-source bag data of two or more packet sequence control codes, selects best one of the quality of data to carry out subsequent treatment.Optimization process is following:
To reception of Different Ground station and HPD source bag data, sort respectively according to the packet sequence control code in the above-mentioned packet format, and form the ordering report that data are wrapped in the HPD source through obtaining after the above-mentioned steps 2-4 processing.HPD source bag data after the ordering of Different Ground station are selected the superior to merge; Be about to be arranged in a HPD source packet sequence according to the packet sequence control code from the HPD source bag data at Different Ground station; Be preferably principle with the HPD source bag quality of data then; According to said quality of data information, the source bag that the quality of data in each packet sequence control code is best remains, and forms a new complete HPD source packet sequence according to the ordering of packet sequence control code.
Certainly, in practical application,, can be not the source bag data of land station be optimized when the quantity of land station when being two or more, difference according to the actual requirements yet.
The processing that unpacks of source bag data is meant that data (or the bag data of the source after optimizing) are wrapped in the source carries out the extraction of data block.Specifically may further comprise the steps:
Step 5.1 is decomposed and to be obtained the science data piece: science data in the data wrapped in the source divide into groups to carry out form and reform, obtain the science data after many group forms are reformed; Calculate the acquisition time sign indicating number and the quality state sign indicating number of every group of science data; Acquisition time sign indicating number, science data content, the quality state sign indicating number of every group of science data arranged successively respectively and make up obtain a plurality of science data pieces.
Shown in the bag data packet format of source, the science data of each HPD source bag data comprise 44 groups of data, and wherein per two groups of data form a circulation, and the content of these two groups of data is the detection numerical value of different elements.In two groups of data, each byte is represented a kind of detection numerical value of element, and it is respectively P2, P1, P4, P3, P6, P5, E2, E1, Li, 4He, P1, C, P3, P2, P5, P4, E1, P6,4He, E2, C, Li (totally 22 bytes) in proper order.Per two groups of data are carried out form reform, promptly at first will form two adjacent in two groups of data of round-robin bytes and put upside down, after putting upside down, just obtain detection numerical value for different elements two-times; And then each detection numerical value that will obtain is arranged according to order of elements.
Calculate the acquisition time sign indicating number of every group of science data: the timing code of carrying in the bag data of source is the acquisition time sign indicating number of the 1st group of data in 44 groups of data, and the acquisition time sign indicating number of respectively organizing data in the bag data of same afterwards source adds 1s in order successively.
Then the quality state sign indicating number of the quality of data information of data as every group of science data wrapped in the source.
At last, acquisition time sign indicating number, science data and quality state sign indicating number be arranged in order and make up just obtain one group of science data piece, the form of resulting science data piece is:
Step 5.2 is arranged in order timing code, project data and quality of data information in the bag data of said source and make up and obtains a project data piece, and the form of said project data piece is:
Wherein, Vp representes the magnitude of voltage of high energy detector, and D1, D2, D3 represent the detected value of high energy sensor.
Like this, source bag data just form 44 science data pieces and 1 project data piece through after unpacking processing, and each science data piece comprises the acquisition time sign indicating number of 6 bytes, the quality state sign indicating number of the science data of 11 bytes and 1 byte; Each project data piece comprises the timing code of 6 bytes, the quality state sign indicating number of the project data of 4 bytes and 1 byte.
Step 6, the science data piece in the data block that step 5 is obtained converts enumeration data into, and the project data piece in the data block is carried out the physical quantity conversion, with correction data, eliminates the various deviations that exist in science data and the project data:
From solar energetic particles detector-source bag data layout; Can learn corresponding 44 groups of science data pieces of a project data piece of HPD; So this step is separately handled science data and project data (showing solar energetic particles detector operation state) when data processing; Convert the science data in the HPD data block into enumeration data, project data is carried out the physical quantity conversion, disposal route is specific as follows:
1, the conversion of the counting of science data may further comprise the steps:
Step 6.1, science data are carried out the analog quantity conversion according to following formula:
V＝H*5.1/255， (1)
Wherein, H is the preceding science data of conversion, and V is the analog quantity after changing.
Step 6.2 is counted conversion respectively for each element in the science data, is specially:
(1) for element P1, P2, P3, P4, E1, E2, count conversion according to following formula:
Wherein, V is that N is the count value that obtains according to the analog quantity after formula (1) conversion.
(2) for element P5, P6, He, count conversion according to following formula:
Wherein, V is that N is the count value that obtains according to the analog quantity after formula (1) conversion.
(3) for element Li and C, count conversion according to following formula:
If (V
i-V
I-1)＞=0:
N
i＝(V
i-V
i-1)/0.7；
Otherwise:
N
i＝(V
i-V
i-1)/0.7+8；
If there be not (in the process of data storage or Data Receiving, may have the situation of loss of data on the star) in i-1 (i representes the sequence number of data block) data, promptly i=1 or i-1 science data piece lack, then N
i=0.
(2) physical quantity of project data conversion:
V′＝H′*5.1/255，
Wherein, H ' is the preceding project data of conversion, and V ' is the analog quantity after changing.
Step 7 shows through the data after changing step 6 in client monitors:
The supervision of solar energetic particles detector project data shows; Requirement shows each project data of load with the form of tabulation, comprises the magnitude of voltage Vp of timing code, high energy detector, the detected value D1 of high energy sensor, the detected value D2 of high energy sensor and the detected value D3 of high energy sensor.
Solar energetic particles detector science data show with 4 charts respectively; Count value scope similar data (P1, P2, P3, P4), (E1, E2), (P5, P6) and (He, Li, C) are presented at respectively in same the chart; With the different element probe value of different curve representatives, its interface is as shown in Figure 2.
Above-described specific embodiment; The object of the invention, technical scheme and beneficial effect have been carried out further explain, and institute it should be understood that the above is merely specific embodiment of the present invention; Be not limited to the present invention; All within spirit of the present invention and principle, any modification of being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (14)
1. method that moonik solar energetic particles detector real time data is handled is characterized in that this method may further comprise the steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2 is carried out to frame data processing to the original bit stream data that receive, and obtains a plurality of one-tenth frame data, and said framing data processing comprises frame synchronization, goes to disturb, RS decoding and data framing;
Step 3 according to the virtual channel identification of carrying in the said one-tenth frame data, is extracted into the data of specific virtual channel in the frame data, and the valid data byte of taking out wherein forms the pseudo channel data;
Step 4; According to the useful load application identifier of prior agreement the data of solar energetic particles detector are come out to form the data source APMB package of binary format from the pseudo channel extracting data, and in the quality of data information formation source bag data of last interpolation one byte of each source APMB package;
Step 5, the source bag data that step 4 is obtained unpack processing, obtain a plurality of data blocks;
Step 6, the science data piece in the data block that step 5 is obtained converts enumeration data into, and wherein project data piece is carried out the physical quantity conversion, with correction data, eliminates the various deviations that exist in the data block;
Step 7 shows through the data after changing step 6 in client monitors.
2. method according to claim 1 is characterized in that, said step 2 further may further comprise the steps:
Step 2.1, frame synchronization: search the frame synchronization head in the said original bit stream data by bit, begin 512 bytes of intercepting from the frame synchronization head and form a plurality of initial data frame;
Step 2.2 goes to disturb: carry out xor operation one by one with frame synchronization 508 later bytes in the scrambler of 508 bytes and the said initial data frame, so that said initial data frame is gone to disturb;
Step 2.3, RS decoding: the RS sign indicating number that spends last 64 bytes in the initial data frame after disturbing carries out RS decoding to initial data frame, and the data after the record RS decoding, generates the quality of data information of two bytes simultaneously;
Step 2.4, the data framing: the quality of data information composition size that will pass through Frame and said two bytes after the RS decoding is the frame data that become of 514 bytes.
3. method according to claim 1 is characterized in that, the valid data byte in the said step 3 is into the data of removing in the frame data behind frame synchronization head, virtual channel identification and the RS sign indicating number.
4. method according to claim 1; It is characterized in that; Said step 3 further comprises the step that is formed into the frame data statistical information, and said statistical information comprises the number that becomes frame data in the original bit stream data, and becomes discrete date frame information in the frame data stream.
5. method according to claim 1 is characterized in that, the said quality of data information in the said step 4 is the wrong bit number when data RS deciphers in the APMB package of source.
6. method according to claim 1; It is characterized in that said source bag data comprise the synchronous code of 2 bytes, the bag sign of 2 bytes, the packet sequence control code of 2 bytes, the packet length sign of 2 bytes, the data field of 496 bytes and the quality of data information of 1 byte successively; Wherein, the data field of 496 bytes further comprises the timing code of 6 bytes, the project data of 4 bytes, the science data of 484 bytes and the padding data of 2 bytes, and the science data of 484 bytes further are divided into 44 groups of data, and every group of size of data is 11 bytes.
7. method according to claim 1; It is characterized in that; If the quantity of said land station is two or more; In order to improve the processing quality of data,, source bag data further comprise in the said step 5 that the source bag data to two or more land stations are optimized processed steps before being unpacked.
8. method according to claim 7 is characterized in that, said optimization process is in the bag data of the identical source of two or more packet sequence control codes, selects best one of the quality of data to carry out subsequent treatment.
9. method according to claim 6 is characterized in that, saidly unpacks processing and further may further comprise the steps:
Step 5.1 is decomposed and to be obtained the science data piece: science data in the data wrapped in the source divide into groups to carry out form and reform, obtain the science data after many groups are reformed; Calculate the acquisition time sign indicating number and the quality state sign indicating number of every group of science data; Acquisition time sign indicating number, science data content and the quality state sign indicating number of every group of science data arranged respectively successively obtain a plurality of science data pieces;
Step 5.2 is arranged in order timing code, project data and quality state sign indicating number in the bag data of said source and obtains a project data piece.
10. method according to claim 9 is characterized in that, the science data of each source bag data comprise 44 groups of data in the said step 5.1, and wherein, per two groups of data form a circulation, and the content of these two groups of data is the detection numerical value of different elements;
Said form is restructured as:
At first will form two adjacent in two groups of data of round-robin bytes and put upside down, after putting upside down, just obtain detection numerical value for different elements two-times;
And then each detection numerical value that will obtain is arranged according to order of elements.
11. method according to claim 9; It is characterized in that; In the said step 5.1, the acquisition time sign indicating number of the 1st group of science data is the timing code of carrying in the bag data of said source, and the acquisition time sign indicating number of respectively organizing science data in the bag data of same afterwards source adds 1 second in order successively.
12. method according to claim 9 is characterized in that, in the said step 5.1, the quality state sign indicating number of every group of science data is the quality state sign indicating number of source bag data.
13. method according to claim 1 is characterized in that, said step 6 further may further comprise the steps:
Step 6.1, science data are carried out the analog quantity conversion:
V＝H*5.1/255，
Wherein, H is the preceding science data of conversion, and V is the analog quantity after changing;
Step 6.2, count conversion respectively for each element in the science data:
(1) for element P1, P2, P3, P4, E1, E2, count conversion according to following formula:
Wherein, N is the count value that obtains;
(2) for element P5, P6, He, count conversion according to following formula:
(3) for element Li and C, count conversion according to following formula:
If (V
i-V
I-1)＞=0:
N
i＝(V
i-V
i-1)/0.7；
Otherwise:
N
i＝(V
i-V
i-1)/0.7+8；
Wherein, i representes the sequence number of data block;
Step 6.3, project data is carried out the physical quantity conversion:
V′＝H′*5.1/255，
Wherein, H ' is the preceding project data of conversion, and V ' is the analog quantity after changing.
14. method according to claim 1 is characterized in that, in the said step 7, shows with the form of tabulation the content of project data to comprise the magnitude of voltage Vp of timing code, high energy detector, detected value D1, D2 and the D3 of high energy sensor; Show the content of science data with the form of chart, wherein, count value scope similar data is presented in same the chart.
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