CN102707307B - 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 processed.
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 by the real time monitoring to detector data and show and judge detector duty, interpretation detector data quality, finds in real time detector operation irregularity and processes.Detector data real time monitoring shows it is mainly to process scientific exploration instrument downlink data source bag, resolve science data and project data, correction data, the various deviations that exist in elimination science data and project data, finally utilize software to science data and project data monitors and interpretation.
Moonik scientific exploration instrument solar energetic particles detector real time data monitors and shows, need interpret data source bag, processing obtains the telemetry parameter data of Instrument working state parameter, instrument, and scientific exploration data, running status and the quality of data of utilizing monitoring software platform to realize solar energetic particles detector monitor.
Solar energetic particles detector (High-energy Particle Detector, HPD) real time monitoring shows that the core of 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, physical quantity obtains after transforming, and show in monitoring interface in conjunction with data source information.
Moonik and earth satellite data down transmission have larger difference, and earth satellite passes by more frequent, or in geostationary orbit, therefore can realize instant data receiver.And moonik is in orbit in process, only has every day part-time section to enter observation segmental arc, during this period, ground application system just can receive the science data that satellite passes down.So each data down transmission time is long, data volume is large.Therefore the method that, need to process and show according to the feature design data of detector.At present, there is no the method for relevant processing and supervision moonik solar energetic particles detector real time data both at home and abroad.Therefore,, in order to monitor and to check solar energetic particles detector real-time working state and detection data quality, need to design a set of science and effectively process and monitor the method for real time data.By repetition test repeatedly, the present invention sums up a set of science and effectively processes and monitor the method for moonik solar energetic particles detector real time data.
Summary of the invention
In order to overcome the above-mentioned defect of prior art, the invention provides a kind of disposal route of moonik solar energetic particles detector data, mainly that moonik solar energetic particles useful load downlink data source bag is processed, resolve science data and project data, correction data, eliminate the various deviations that exist in science data and project data, then science data and project data are carried out to real time data supervision demonstration.
For achieving the above object, the present invention proposes a kind of method of moonik solar energetic particles detector data being carried out to real-time processing, it is characterized in that, the method comprises the following steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2, carries out framing data processing to the original bit stream data that receive, and obtains multiple one-tenth frame data, and described 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 described one-tenth frame data, is extracted into the data of specific virtual channel in frame data, and the valid data byte of taking out wherein forms pseudo channel data;
Step 4, according to the useful load application identities symbol of prior agreement, the data of solar energetic particles detector are out formed to the data source APMB package of binary format from 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 that step 4 is obtained bag data unpack processing, obtain multiple data blocks;
Step 6, the science data piece in the data block that step 5 is obtained is converted to enumeration data, and project data piece is wherein carried out to physical quantity conversion, with correction data, eliminates the various deviations that exist in data block;
Step 7, the data by step 6 after conversion show in client monitors.
Pass through above-mentioned steps, the present invention can realize the real-time processing of moonik solar energetic particles detector data, the correction of complete paired data in processing procedure, eliminate the various deviations that exist in science data and project data, the satellite original bit stream data solver receiving is the most at last science data and project data.Science data after treatment and project data, can show in real time by monitoring software platform.In the process that surface work personnel can receive in satellite data, real time monitoring and duty and the detection data quality of checking solar energetic particles detector.If satellitosis or detection data occur abnormal, ground staff can process abnormal conditions in time, guarantees normally carrying out of detector scientific exploration work.
The present invention contributes to realize the control in orbit of moonik Detector for High Energy Particles, guarantees that detector is working properly, obtains correct, effective scientific exploration data.Meanwhile, the present invention is based on moonik feature 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.
Accompanying drawing explanation
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, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in more detail.
As shown in Figure 1, the invention provides a kind of method of moonik solar energetic particles detector data being carried out to real-time processing, the method comprises the following steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2, carries out framing data processing to the original bit stream data that receive, and obtains multiple one-tenth frame data, specific as follows:
Step 2.1, frame synchronization: by bit (bit) search frame in original bit stream data with
Step head " 1ACFFC1D ", starts to intercept 512 bytes from frame synchronization head and forms multiple initial data frame;
Step 2.2, goes to disturb: carry out one by one exclusive-OR operation by frame synchronization 508 later bytes in the scrambler of 508 bytes and initial data frame, so that initial data frame is gone to disturb;
Step 2.3, RS decoding: the RS code that spends last 64 bytes in the initial data frame (512 bytes) after disturbing carries out RS decoding to initial data frame, and record the data after RS decoding, generate the quality of data information (first byte represents wrong bit number, and second byte represents error correction rate) of two bytes simultaneously;
Step 2.4, data framing: be the frame data that become of 514 bytes with the quality of data information composition size of described two bytes by the Frame after RS decoding (512 byte).
Step 3, separate along separate routes frame: according to becoming the virtual channel identification of carrying in frame data, be extracted into the data of specific virtual channel in frame data, the valid data byte of taking out wherein forms pseudo channel data, specific as follows:
According to the pseudo channel information becoming in frame data structure, be specified to the pseudo channel comprising in frame data, described pseudo channel is a kind of data-transmission mode of ground and satellite agreement, different data contents transmits in different pseudo channels, such as, in the present invention, set the detection data of pseudo channel A1 for transmitting satellite useful load, pseudo channel C is for the real-time engineering data (A1 and C are the virtual channel identifications of arranging in advance) of transmitting satellite payload data management system.For A1 pseudo channel, 436 valid data bytes of removing in the one-tenth frame data that receive after frame synchronization head, virtual channel identification and RS code are taken out, form A1 pseudo channel data, and be formed into the statistical information of frame data simultaneously, described statistical information comprises the number of the one-tenth frame data that form in original bit stream data, and becomes in frame data stream the information such as discrete date frame information (such as number and the frame number of discrete date frame).
Step 4, separate loading source bag: the data source APMB package that according to the useful load application identities symbol of prior agreement, the data of solar energetic particles detector is out formed to binary format from pseudo channel extracting data, and in the quality of data information formation source of last interpolation one byte of each source APMB package bag data, specific as follows:
The data of solar energetic particles detector are included in A1 pseudo channel, according to useful load application identities symbol, the pseudo channel data of separating after frame are along separate routes decomposed and extracted, described useful load application identities symbol is for indicating the load source of data, indicate that these data are to come from solar energetic particles detector, or other load.By the data source APMB package of the HPD data composition binary format extracting from A1 pseudo channel, and in the quality of data information of last interpolation one byte of each source APMB package (being wrong bit number when data RS decoding in the APMB package of source), formation source bag data.
The form of source bag data is as follows:
Wherein, the science data of 484B are further divided into 44 groups of data, and every group of size of data is 11B.
Step 5, the source that step 4 is obtained bag data unpack processing, obtain multiple data blocks;
In the process receiving in real time data, 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 is while being two or more, before source bag data are unpacked, the source bag data that can receive described two or more land stations be optimized processing, specific as follows:
The optimization of source bag data refers 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 as follows:
The HPD source bag data that Different Ground station is received and obtained after above-mentioned steps 2-4 processes, sort respectively according to the packet sequence control code in above-mentioned packet format, and form the sequence report of HPD source bag data.HPD source bag data after the sequence of Different Ground station are preferentially merged, be about to be arranged in a HPD source packet sequence from the HPD source bag data at Different Ground station according to packet sequence control code, then be preferably principle with the HPD source bag quality of data, according to described quality of data information, source the bag best quality of data in each packet sequence control code is remained, form a new complete HPD source packet sequence sorting according to packet sequence control code.
Certainly, in actual applications, when the quantity of land station is while being two or more, difference according to the actual requirements, also can not be optimized the source bag data of land station.
The unpacking of source bag data processed and referred to source bag data (or source bag data) after optimizing are carried out to the extraction of data block.Specifically comprise the following steps:
Step 5.1, decomposes and obtains science data piece: form reformation is carried out in the science data grouping that source is wrapped in data, obtains the science data after many group forms are reformed; Calculate acquisition time code and the quality state code of every group of science data; The acquisition time code of every group of science data, science data content, quality state code are arranged successively respectively and combined and obtain multiple science data pieces.
As shown in the bag data packet format of source, the science data of each HPD source bag data comprise 44 groups of data, wherein circulation of every two groups of data formations, and the content of these two groups of data is the detection numerical value of different elements.In two groups of data, each byte represents a kind of detection numerical value of element, and its order 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).Every two groups of data are carried out to form reformation, first two adjacent bytes in two groups of data of a circulation of formation are put upside down, after putting upside down, just obtain the detection numerical value for different elements two-times; And then the each detection numerical value obtaining is arranged according to order of elements.
Calculate the acquisition time code of every group of science data: the timing code of carrying in the bag data of source is the acquisition time code of the 1st group of data in 44 groups of data, in the bag data of same source, the acquisition time code of each group data adds 1s in order successively afterwards.
Then source is wrapped to the quality of data information of data as the quality state code of every group of science data.
Finally, acquisition time code, science data and quality state code are arranged in order and are combined just obtain one group of science data piece, the form of the science data piece obtaining is:
Step 5.2, is arranged in order timing code, project data and quality of data information in the bag data of described source combine and obtain a project data piece, and the form of described project data piece is:
Wherein, Vp represents 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, through unpacking after processing, just form 44 science data pieces and 1 project data piece, and each science data piece comprises the acquisition time code of 6 bytes, the quality state code of the science data of 11 bytes and 1 byte; Each project data piece comprises the timing code of 6 bytes, the quality state code 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 is converted to enumeration data, and the project data piece in data block is carried out to physical quantity conversion, with correction data, eliminates the various deviations that exist in science data and project data:
From solar energetic particles detector-source bag data layout, can learn the corresponding 44 groups of science data pieces of a project data piece of HPD, so this step is separately processed science data and project data (showing the duty of solar energetic particles detector) in the time of data processing, science data in HPD data block are converted to enumeration data, project data is carried out to physical quantity conversion, and disposal route is specific as follows:
1, the conversion of the counting of science data comprises the following steps:
Step 6.1, science data are carried out to analog quantity conversion according to following formula:
V＝H*5.1/255， (1)
Wherein, H is the science data before conversion, and V is the analog quantity after conversion.
Step 6.2, counts respectively conversion for each element in 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 obtaining 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 obtaining 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 not there is not (in the process of data storage or data receiver, may have the situation of loss of data on star) in i-1 (i represents the sequence number of data block) data, i.e. i=1 or i-1 science data piece disappearance, N
i=0.
(2) physical quantity of project data conversion:
V′＝H′*5.1/255，
Wherein, H ' is the project data before changing, and V ' is the analog quantity after changing.
Step 7, the data by step 6 after conversion show in client monitors:
The supervision of solar energetic particles detector project data shows, require to show the each project data of load with the form of list, comprise the magnitude of voltage Vp of timing code, high energy detector, detected value D1, the detected value D2 of high energy sensor and the detected value D3 of high energy sensor of high energy sensor.
Solar energetic particles detector science data show with 4 charts respectively, similar count value scope data (P1, P2, P3, P4), (E1, E2), (P5, P6) and (He, Li, C) are presented at respectively in same chart, represent different element probe values with different curves, its interface as shown in Figure 2.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; institute is understood that; the foregoing is only specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (12)
1. a method of moonik solar energetic particles detector real time data being processed, is characterized in that, the method comprises the following steps:
Step 1, land station receives the original bit stream data that satellite passes down;
Step 2, carries out framing data processing to the original bit stream data that receive, and obtains multiple one-tenth frame data, and described 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 described one-tenth frame data, is extracted into the data of specific virtual channel in frame data, and the valid data byte of taking out wherein forms pseudo channel data;
Step 4, according to the useful load application identities symbol of prior agreement, the data of solar energetic particles detector are out formed to the data source APMB package of binary format from 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 that step 4 is obtained bag data unpack processing, obtain multiple data blocks;
Step 6, the science data piece in the data block that step 5 is obtained is converted to enumeration data, and project data piece is wherein carried out to physical quantity conversion, with correction data, eliminates the various deviations that exist in data block;
Step 7, the data by step 6 after conversion show in client monitors;
Described source bag data comprise the synchronous code of 2 bytes, the bag mark of 2 bytes, the packet sequence control code of 2 bytes, packet length mark, the data field of 496 bytes and the quality of data information of 1 byte of 2 bytes successively; Wherein, the data field of 496 bytes further comprises the timing code of 6 bytes, project data, the science data of 484 bytes and the padding data of 2 bytes of 4 bytes, and the science data of 484 bytes are further divided into 44 groups of data, and every group of size of data is 11 bytes;
Described unpack process further comprising the steps:
Step 5.1, decomposes and obtains science data piece: form reformation is carried out in the science data grouping that source is wrapped in data, obtains the science data after many groups are reformed; Calculate acquisition time code and the quality state code of every group of science data; The acquisition time code of every group of science data, science data content and quality state code are arranged successively respectively and obtained multiple science data pieces;
Step 5.2, is arranged in order timing code, project data and quality state code in the bag data of described source to obtain a project data piece.
2. method according to claim 1, is characterized in that, described step 2 is further comprising the steps:
Step 2.1, frame synchronization: search the frame synchronization head in described original bit stream data by bit, start to intercept 512 bytes from frame synchronization head and form multiple initial data frame;
Step 2.2, goes to disturb: carry out one by one xor operation by frame synchronization 508 later bytes in the scrambler of 508 bytes and described initial data frame, so that described initial data frame is gone to disturb;
Step 2.3, RS decoding: the RS code that spends last 64 bytes in the initial data frame after disturbing carries out RS decoding to initial data frame, and record the data after RS decoding, generate the quality of data information of two bytes simultaneously;
Step 2.4, data framing: be the frame data that become of 514 bytes with the quality of data information composition size of described two bytes by the Frame after RS decoding.
3. method according to claim 1, is characterized in that, the valid data byte in described step 3 is into removes the data after frame synchronization head, virtual channel identification and RS code in frame data.
4. method according to claim 1, it is characterized in that, described step 3 further comprises the step that is formed into frame data statistical information, and described statistical information comprises the number that becomes frame data in original bit stream data, and becomes discrete date frame information in frame data stream.
5. method according to claim 1, is characterized in that, the described quality of data information in described step 4 is wrong bit number when data RS decoding in the APMB package of source.
6. method according to claim 1, it is characterized in that, if the quantity of described land station is two or more, in order to improve the Disposal quality of data, in described step 5, before being unpacked, source bag data further comprise the step that the source bag data of two or more land stations is optimized to processing.
7. method according to claim 6, is characterized in that, described 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.
8. method according to claim 1, is characterized in that, in described step 5.1, the science data of each source bag data comprise 44 groups of data, wherein, circulation of every two groups of data formations, the content of these two groups of data is the detection numerical value of different elements;
Described form is restructured as:
First two adjacent bytes in two groups of data of a circulation of formation are put upside down, after putting upside down, just obtained the detection numerical value for different elements two-times;
And then the each detection numerical value obtaining is arranged according to order of elements.
9. method according to claim 1, it is characterized in that, in described step 5.1, the acquisition time code of the 1st group of science data is the timing code of carrying in the bag data of described source, and in the bag data of same source, the acquisition time code of each group science data adds 1 second in order successively afterwards.
10. method according to claim 1, is characterized in that, in described step 5.1, the quality state code of every group of science data is the quality state code of source bag data.
11. methods according to claim 1, is characterized in that, described step 6 is further comprising the steps:
Step 6.1, science data are carried out to analog quantity conversion:
V=H*5.1/255，
Wherein, H is the science data before conversion, and V is the analog quantity after conversion;
Step 6.2, count respectively conversion for each element in science data:
(1), for element P1, P2, P3, P4, E1, E2, count conversion according to following formula:
Wherein, N is the count value obtaining;
(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 represents the sequence number of data block;
Step 6.3, project data is carried out to physical quantity conversion:
V′=H′*5.1/255，
Wherein, H ' is the project data before changing, and V ' is the analog quantity after changing.
12. methods according to claim 1, is characterized in that, in described step 7, show the content of project data with the form of list, comprise the magnitude of voltage Vp of timing code, high energy detector, detected value D1, D2 and the D3 of high energy sensor; The content that shows science data with the form of chart, wherein, the similar data of count value scope are presented in same chart.
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