CN102156293A - Method for processing real-time data of solar wind low-energy ion detector for lunar satellite - Google Patents

Method for processing real-time data of solar wind low-energy ion detector for lunar satellite Download PDF

Info

Publication number
CN102156293A
CN102156293A CN 201110060838 CN201110060838A CN102156293A CN 102156293 A CN102156293 A CN 102156293A CN 201110060838 CN201110060838 CN 201110060838 CN 201110060838 A CN201110060838 A CN 201110060838A CN 102156293 A CN102156293 A CN 102156293A
Authority
CN
China
Prior art keywords
data
solar wind
ion detector
energy ion
wind low
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN 201110060838
Other languages
Chinese (zh)
Other versions
CN102156293B (en
Inventor
边伟
温卫斌
刘建军
朱海华
段岩
王芳
付强
王晓栋
李春来
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Astronomical Observatories of CAS
Original Assignee
National Astronomical Observatories of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by National Astronomical Observatories of CAS filed Critical National Astronomical Observatories of CAS
Priority to CN 201110060838 priority Critical patent/CN102156293B/en
Publication of CN102156293A publication Critical patent/CN102156293A/en
Application granted granted Critical
Publication of CN102156293B publication Critical patent/CN102156293B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a method for processing the real-time data of a solar wind low-energy ion detector for a lunar satellite. The method comprises the following steps of: initial data reception, in which initial data downloaded by the solar wind low-energy ion detector for the lunar satellite is received in real time; framing data processing, in which the downloaded initial data is subjected to frame synchronization, descrambling and Reed-Solomon (RS) decoding to obtain framing data; channel processing, in which the framing data is subjected to branching de-framing and sub-packaging to obtain a data source packet of the solar wind low-energy ion detector; data block extraction, in which the data source packet of the solar wind low-energy ion detector is unpackaged to generate a data block of the solar wind low-energy ion detector; physical quantity conversion, in which the generated data block of the solar wind low-energy ion detector is converted into the data of the solar wind low-energy ion detector having an actual physical meaning; and client displaying, in which the converted data of the solar wind low-energy ion detector is sent to a client for real-time displaying. According to the method provided by the invention, the real-time data of the solar wind low-energy ion detector for the lunar satellite can be processed and monitored totally and correctly in real time, so that a working state and a detection result of the low-energy ion detector are monitored and displayed effectively, and a load state is controlled and adjusted in real time according to a monitoring result.

Description

The disposal route of moonik solar wind low energy ion detector real time data
Technical field
The present invention relates to a kind of disposal route of real time data of moonik solar wind low energy ion detector, be used to realize to the real-time processing of moonik solar wind low energy ion detector real time data and look soon.
Background technology
The lunar exploration engineering is the environment that is used to survey the moon, the systematization engineering of resource.The lunar exploration engineering system mainly comprises parts such as satellite, rocket, launching site, observing and controlling, Ground Application system, and wherein the Ground Application system mainly comprises Data Receiving subsystem (land station), operational management subsystem (OMS) etc.Land station receives, stores descending detection data in real time according to the service operation plan; The data in real time that receives is sent to the operational management subsystem.The operational management subsystem is responsible to define the survey plan of satellite useful load during service operation, coordinate to finish to useful load in the management of rail service operation, comprise real time monitoring and control to the loading device state.
Be equipped with various science load on the moonik, be used to survey various environment, the resource data of moonik place track and moonscape.Land station establishes the Data Receiving subsystem, be used for receiving various detection datas from satellite, and and earthward application system general headquarters transmit the detector downlink data.Operational management subsystem (OMS) is carried out the real time monitoring of satellite and science loading device thereof by real-time processing and demonstration to detection data, and generating run instruction in real time is to adjust, to control the duty of science load.
The science load of installing on moon resource detection satellite is the detector with scientific exploration ability that carries on the satellite.By the operational management subsystem real time monitoring of this detector data is shown it is one of main contents of moonik science load operation management, its objective is by 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 real time monitoring of detector data shows it mainly is to handle the former bag of scientific exploration instrument downlink data, resolve science data and project data, correction data is eliminated the various deviations that exist in detection data and the project data, monitors and interpretation surveying numerical value and project data numerical value at last.
The science load that is installed on the moon resource detection satellite mainly comprises space environment load, and it is used to analyze the space environment feature of lunar orbit, carries out the demand analysis that space environment is surveyed, and surveys to finish the lunar orbit space environment.Solar wind low energy ion detector (be called for short SWID) belongs to a kind of in the space environment load, it is installed on the moon resource detection satellite, be used for surveying the composition and the space distribution of the low energy ion of solar wind, it is the distribution function of solar wind plasma body, therefrom draw the characteristic quantity of tranquil and high-speed solar wind plasma, as the body speed of solar wind, ion temperature and number density etc.
Satellite is in the rail detection process, can move normally and obtain accurate, high-precision detection data in order to ensure the solar wind ion detector, need carry out real-time processing and demonstration to the Various types of data that solar wind ion detector channel passes down, monitor the quality of the equipment running status and the understanding detection data of solar wind low energy ion detector in real time, according to monitoring result, the solar wind low energy ion is taked the real-time control and the adjustment of detection mode.
But,, lack supervision and display packing quickly and efficiently at present at the real-time status of moonik solar wind low energy ion detector.
Summary of the invention
The disposal route that the purpose of this invention is to provide a kind of moonik solar wind low energy ion detector real time data, described method can carry out in real time the real time data of moonik solar wind low energy ion detector, comprehensively, handle exactly and monitor, effectively monitor and show the duty and the result of detection of low energy ion detector thus, and control and adjust loaded-up condition in real time according to the result who monitors.
According to an aspect of the present invention, provide a kind of disposal route of moonik solar wind low energy ion detector real time data, described method comprises: receive raw data, receive the raw data that passes under the solar wind low energy ion detector in real time; The framing data processing is carried out frame synchronization, is gone to disturb with RS decoding and handle and obtain into frame data the raw data that passes down; Channel Processing is carried out shunt to described one-tenth frame data and is separated frame and subpackage and handle to obtain solar wind low energy ion detector data source bag; Data block is extracted, and described solar wind low energy ion detector data source bag is carried out unpacking processing to generate solar wind low energy ion detector data block; The physical quantity conversion converts the solar wind low energy ion detector data block of described generation to the solar wind low energy ion detector data with actual physics implication; Client shows, the solar wind low energy ion detector data after the conversion are sent to client with real-time demonstration.
Described raw data comprises project data, telemetry and science data, and wherein said project data is the self working state parameter that the solar wind low energy ion detector is gathered; State parameter when described telemetry is the solar wind low energy ion detector work of being gathered by moonik; Described science data are science data about the solar wind low energy ion that the solar wind low energy ion detector detects.
Optionally, in sampling period, obtain one group of science data by 48 energy roads and 12 polar angles are carried out 2 scanning, wherein each scanning all scan respectively in 24 energy roads each can pairing 12 polar angles in road.
Optionally, with graphic model, tables of data pattern and/or the pattern that shows detail described science data are shown.
Described graphic model, tables of data pattern and the pattern of showing detail include by polar angle and add up and by these two kinds of display modes that can the road add up, wherein, add up by polar angle and to show the bivariate table of one 12 col width, every row are represented a polar angle, and every row represent frame data by can the road direction adding up result afterwards; Show the bivariate table of one 48 col width by can the road adding up, every row represents an energy road, and every row represents frame data by the polar angle direction result afterwards that adds up.
In described graphic model, horizontal ordinate is 48 energy roads or 12 polar angles, and ordinate is expression image data timing code constantly, and each can road or the accumulated value of polar angle to represent different time points with color lump, and different colour codes is represented can the road or the accumulated value size of polar angle.
In described tables of data display mode, be presented at the different scanning accumulated value of the science data of 12 polar angles of each energy road correspondence constantly.
In the described pattern that shows detail, show 48 the energy roads of each scanning moment correspondence and the science data of 12 polar angles simultaneously.
Preferably, the conversion of described physical quantity comprises Binary Conversion is become sexadecimal or metric data, sexadecimal is converted to metric data, perhaps according to physical equation translation data form.
According to the described disposal route of first aspect present invention; this method also comprises; whether the solar wind low energy ion detector data according to real-time demonstration are in value limit or the alarm limit; the working condition of judging the solar wind low energy ion detector is normal or unusual, and whether the data that the solar wind low energy ion detector is surveyed are credible.
Described method also comprises, according to the result of described judgement, the solar wind low energy ion is taked the real-time control and the adjustment of detection mode.
Preferably, show described project data and telemetry respectively with compact mode, list mode, tables of data pattern, curve model and/or figure table schema.
Described compact mode be according to from top to bottom, from left to right order shows current real time data.
Described list mode is the branch 4 row history curves of display parameter name, 16 system true forms, the parameter value after physical transformation and described parameter respectively.
Described data form pattern shows each parameter value constantly with form, is used for load current state and the change thereof constantly of each timing code of watch-keeping.
Described curve model is that the history curve with a plurality of parameters is presented in same the chart, the X-axis representative frame of this chart counting, and Y-axis is a parameter value; Wherein, when receiving new Frame, curve can wholely left automatically move to show up-to-date data.
Described figure table schema is the approximate parameter of codomain is sorted out and to be divided in different groups, and every group is used independently Y-axis coordinate.
As mentioned above, the invention provides a kind of supervision of the real time data at the solar wind low energy ion detector and the method for demonstration: the data to the solar wind low energy ion detector that passes are down in real time carried out real-time Transmission, processing, decomposite the data of different types of different loads, equipment and data characteristics according to the solar wind low energy ion detector, adopt different patterns to show in real time, with different forms overload alarm is set, and controls and adjust loaded-up condition in real time according to the result who looks soon in real time.
Description of drawings
Fig. 1 has shown the process flow diagram that the SWID real time data is handled;
Fig. 2 has shown the image display mode of the science data that add up by the energy road;
Fig. 3 has shown the tables of data display mode of the science data that add up by the energy road;
Fig. 4 has shown the science data pattern that " shows detail ";
Fig. 5 has shown an example that shows project data with compact mode;
Fig. 6 has shown an example that shows project data with list mode;
Fig. 7 has shown an example that shows project data with the data form pattern;
Fig. 8 has shown an example that shows project data with curve model.
Embodiment
For making the purpose, technical solutions and advantages of the present invention more cheer and bright, below in conjunction with embodiment and with reference to accompanying drawing, the present invention is described in more detail.
Usually, the real time data that passes under the detector that carries on the moonik mainly comprises project data, telemetry and the science data of load.
Project data is meant in moonik when rail is worked, the self working state parameter that detector is gathered, what project data showed is the calibration of each frequency channel of detector, the hardware effort pattern of observing branch road and running software situation etc., is used for reflecting the detector operation state comprehensively.The display mode of project data can be number list and two kinds of forms of figure, when number list shows, shows engineering source bag data value.During with graphic presentation, with the data presentation in the data source bag under the same coordinate system.In addition, convenient for ease of ground surveillance, when number list shows, need contents such as increase value bound and warning bound, when project data exceeds bound, system's report to the police automatically (numerical value can be marked red).
State parameter when telemetry is meant the detector work of being gathered by satellite, its demonstration be the calibration of each frequency channel of detector, the situation that powers up and the instrument temperature situation of observation branch road, be used to reflect the groundwork state of detector.The display mode of telemetry can be number list and two kinds of forms of figure.When number list shows, show engineering source bag data value.During with graphic presentation, with the data presentation in the data source bag under the same coordinate system.In addition, convenient for ease of ground surveillance, when number list shows, need contents such as increase value bound and warning bound, when project data exceeds bound, system's report to the police automatically (numerical value can be marked red).
Project data and telemetry are divided in real time and two kinds of data of time-delay, can pass real time data in real time down when satellite is inbound, and treat inbound biography down when satellite does not have delay data can be deposited in mass storage when inbound.
Science data are the science amounts with obvious physical significance, by the instrument collection.Its demonstration is divided into number list and two kinds of forms of figure, when number list shows, and demonstration source bag data value.During with graphic presentation, calibration data and science data in the data source bag are presented under the same coordinate system.
Among the present invention, science data are meant the science data about the solar wind low energy ion that solar wind ion detector (SWID) detects self when working on moonik, the composition and the space distribution that comprise low energy ion in the solar wind, it is the distribution function of solar wind plasma body, therefrom draw the characteristic quantity of tranquil and high-speed solar wind plasma, as the body speed of solar wind, ion temperature and number density etc.
By interpretation, can understand loading device history and current running status and detection event, and can come real-time control load and adjust detection mode according to sentence read result to above-mentioned all types of data.
Introduce the transmission of SWID real time data, the flow process of handling and looking demonstration soon below respectively.
Fig. 1 has shown the process flow diagram that the SWID real time data is handled.
As shown in Figure 1, the processing of SWID real time data of the present invention comprises the steps:
Receive raw data, land station receives the original bit stream data that SWID passes down in real time.
The framing data processing is carried out frame synchronization, is gone to disturb with RS decoding and handle and obtain into frame data the original bit stream data that pass down.In this step, frame synchronization is meant that step-by-step (bit) searches the frame synchronization head " 1ACFFC1D " in the raw data file stream, begins to intercept 512 bytes from synchronous head and forms initial data frame.Go to disturb and be meant with 508 later bytes of synchronous head in scrambler (508 byte) and the initial data frame and carry out exclusive-OR operation one by one, finish removing of Frame disturbed.RS decoding is meant the RS decoding of carrying out Frame with 64 byte RS sign indicating numbers in the Frame, and record RS decoding information, generates two byte data quality informations (first byte is represented wrong bit number, and second byte represented error correction rate) simultaneously.
Channel Processing, the OMS system carries out shunt according to the identifier of load to the one-tenth frame data after handling and separates frame and subpackage, sort out the data that belong to target load, carry out data processing so that adopt the method that adapts with this load, obtain the data source bag of science load thus, be SWID data source bag in the present embodiment.In this step, separate frame along separate routes and be meant according to the pseudo channel information in the data frame structure, the pseudo channel of specified data frame takes out the byte valid data in the Frame, forms the pseudo channel data, and forms the statistical information of Frame.Subpackage promptly divides load source bag, be meant the input channel configuration information, decompose, the detector data of channel is formed binary data source APMB package according to useful load application process identifier, and each source bag added the quality of data information of a byte, formation source bag data.
Data block is extracted, and SWID data source bag is unpacked processing, with SWID source bag data decomposition, forms the SWID data block.Specifically, be to sort, splice, unpack, go Yuan Bao packet header, form to reform to generate data block to the SWID data source bag that forms, the SWID data in a sampling period are spliced, formed continuous SWID data block.
The physical quantity conversion, the Parameters Transformation formula that provides according to the science data bag, the SWID data block that generates is converted to the SWID data with actual physics implication, so that observer's identification, for example Binary Conversion is become sexadecimal or metric data, sexadecimal is converted to metric data, perhaps according to physical equation translation data form.Among the present invention, need the SWID data block of conversion for example to comprise sign indicating number sweep time, energy Taoist monastic name, channel number etc.Wherein, the time true form be with on January 1st, 2004 as start time one second accumulative total, need be converted to current date Hour Minute Second based on physical equation.
Client shows, the SWID physical quantity data after the conversion is sent to client show in real time.
Among the present invention, because the one group of project data and the science data of solar wind ion detector are not one to one, so with science data and project data separate processes and demonstration, different supplemental characteristics is carried out different physical quantity conversions (seeing below), carries out framing and look demonstration soon.
Introduce the processing of science data below.
The exemplary science data block format that has shown resulting solar wind low energy ion detector when the scanning zero-time is X of table 1.
Table 1
Zero-time The scanning sequence number Can Taoist monastic name Passage 1 Passage 2 …… Passage 11 Passage 12
X Y 1 ?M ?M M M M
…… ?M ?M M M M
24 ?M ?M M M M
Y+1 25 ?M ?M M M M
…… ?M ?M M M M
48 ?M ?M M M M
Y+2 48 ?M ?M M M M
…… ?M ?M M M M
25 ?M ?M M M M
Y+3 24 ?M ?M M M M
…… ?M ?M M M M
1 ?M ?M M M M
In the table 1, M represents should be able to Taoist monastic name and the quantity of the solar wind low energy ion of channel number, i.e. the science data that detect of solar wind ion detector, and wherein, the M value of each position must be not identical.
As shown in table 1, the science data piece=origin identification (0xCD07CD07CD07) of the solar wind low energy ion detector of zero-time X+zero-time sign indicating number (X)+scanning sequence number (Y)+24{12{ detection data }+scanning sequence number (Y+1)+24{12{ detection data }+ladder decline sign (0xFFFFFFFFFFFF)+scanning sequence number (Y+2)+24{12{ detection data }+scanning sequence number (Y+3)+24{12{ detection data }.
In the following formula, " the 24{12{ detection data } } " the affiliated matrix that scans the 24*12 of sequence number correspondence of expression, i.e. 24 energy roads and 12 matrixes that the pairing M value of passage is arranged in.
In the present embodiment, exemplary 48 energy roads and 12 polar angles of being provided with, but be not restricted to this.
In the present embodiment, each scanning can scan 24 energy roads, thereby 48 energy roads need twice scanning.Therefore, as shown in table 1,48 energy roads are assigned in 2 scanning sequence numbers (for example Y and Y+1, perhaps Y+2 and Y+3), comprise 24 energy roads in each scanning sequence number.
Therefore, in a complete sampling period, need carry out scanning for 2 times (promptly earlier from the 1st energy road sequential scanning to the 48 energy roads, then from the 48th energy road sequential scanning to the 1 energy road) to 12 polar angles of 48 energy road *.And twice scanning in a sampling period comprises four scanning sequence numbers, and resulting data all are distributed in the data structure.
In the present embodiment, 2 scanning obtains the data in 4*24=96 energy road.
That introduces real time data below looks demonstration soon.The data that the solar wind ion detector passes down are divided into science data, project data and telemetry after treatment.Different data types adopts different Data Views to show respectively.
1.SWID the demonstration of science data
Two kinds of patterns are supported in the demonstration of SWID science data: graphic model and tables of data pattern.
Among the present invention, the every frame in the SWID science data all comprises the matrix that 12 polar angles of 48 energy road * are formed.For their modes with two dimension are shown, the invention provides " adding up " and " adding up " these two kinds of display modes by the energy road by polar angle.Under these two kinds of patterns, shown numerical value all is by can the road or the result of polar angle after adding up with every frame data." add up " by polar angle and the implication of " by can the road adding up " as follows:
● add up by polar angle: show the bivariate table of one 12 col width, every row represents a polar angle, and every row represent frame data by the energy road direction result afterwards that adds up.
● by can the road adding up: show the bivariate table of one 48 col width, every row represents an energy road, and every row represents frame data by the polar angle direction result afterwards that adds up.
No matter be graphic model or tables of data pattern, the SWID science data can be selected to show according to energy road or polar angle dual mode.In graphic model, horizontal ordinate is 48 energy roads or 12 polar angles, ordinate is expression image data timing code constantly, color lump among the figure is represented detection data (the being the ion counting) accumulated value of each energy road of different time points or polar angle, and different colour codes is represented the detection data accumulated value size of energy road or polar angle.
Fig. 2 has shown the image display mode of the science data that add up by the energy road.As shown in Figure 2, horizontal ordinate is 48 energy roads, and ordinate is expression image data timing code constantly.To represent to put sometime the science data of 12 polar angles that each can the road (be the M value in the previous table 1 to each color lump among the figure, expression refers to the quantity of the solar wind low energy ion that detects) accumulated value, different colour codes is represented the detection data accumulated value size of polar angle, and the color of color lump is determined according to the left part color target value of figure.
Fig. 3 has shown the tables of data display mode of the science data that add up by the energy road.As shown in Figure 3, under this tables of data display mode, each numeric representation is at science data (quantity of the solar wind low energy ion) accumulated value of 12 polar angles of each energy road correspondence of certain one scan moment.
Sometimes, need synthesis display by can the road adding up and by the add up accumulation result of this dual mode of polar angle.Therefore, the present invention further provides " showing detail " pattern on the basis of tables of data pattern.
Fig. 4 has shown the science data pattern that " shows detail ".As shown in Figure 4, this pattern has shown each timing code (expression scanning constantly) 48 the energy roads of correspondence and the science data matrix of 12 polar angle correspondences based on the tables of data pattern.Among Fig. 4,48 energy roads of 48 line displays, 12 polar angles are shown in 12 tabulations.
Shown in the left field of Fig. 4, need according to monitoring, select time point and energy road or polar angle data point, right side area is chosen demonstration the details of the 48*12 matrix of data point: timing code, and 48 the energy roads of this timing code correspondence and the science data matrix of 12 polar angle correspondences.In addition, in the right side area in Fig. 4, the first place of every row and every row also shows the accumulated value of each energy road or polar angle correspondence respectively.
As shown in Figure 4, shown the science data matrix of 12 polar angles of 48 energy road * that obtain in timing code " 2004/01/01 03:29:25:950 " scanning, i.e. the science data matrix that shows according to the form of previous table 1.Can select " adding up " or " adding up " mode to show the accumulated value matrix among the figure by polar angle by the energy road.With what choose can road 9 be example, and right side area shows that the accumulated value of 12 polar angles of energy road 9 correspondences is 0 among the figure.On the other hand, if select the mode of " adding up by polar angle ", then the science data accumulated value in 48 of certain polar angle correspondence energy roads can be presented at the accumulated value of first trip place of this polar angle respective column.
2. project data and telemetry
Among the present invention, project data and telemetry all adopt independent view to show respectively.Show in the view in parameter, can select compact mode, list mode, tables of data pattern, curve model, figure table schema etc., thereby realize that different patterns monitors the load data content.
Compact mode: parameter is pressed from top to bottom, series arrangement from left to right.Can utilize the view space to show parameter as much as possible under this pattern.It can only show the value of " current ", can't show the historical data of a period of time, and therefore this demonstration is more suitable for the current state of real time monitoring.
Fig. 5 has shown an example that shows project data with compact mode.
Among Fig. 5, be example, listed the engineering parameter title respectively, the parameter original value of engineering parameter current time, the parametric inversion value of engineering parameter current time with compact mode with SWID project data (A).The engineering parameter of enumerating in this example comprises parameters such as SC timing code, solar wind ion A+12V, solar wind ion A+5V, solar wind ion A high pressure, solar wind ion A counting rate.
Under list mode, tabulation has 4 row, is respectively parameter value (be the parametric inversion value, generally realize by modes such as numeral system conversion, physical equation conversions) and the history curve after parameter name, 16 system true forms, the inverting.It is just meaningful that wherein history curve has only the parameter of logarithm value type, and this display mode is a current state and the combining of historical trend.
Fig. 6 has shown an example that shows project data with list mode.
The data form pattern can watch-keeping arrive load current state and the change constantly of each timing code, thereby this display mode is more accurate with the title of form display parameter and the value (being parameter value) of each this parameter of the moment.
Fig. 7 has shown an example that shows project data with the data form pattern.
Among Fig. 7, be example, listed the engineering parameter title respectively, the collection moment of engineering parameter values, and each corresponding constantly engineering parameter value with the data form pattern with SWID project data (A).The engineering parameter of enumerating in this example comprises parameters such as SC timing code, solar wind ion A+12V, solar wind ion A+5V, solar wind ion A high pressure, solar wind ion A counting rate.
Curve model is the expansion of history curve in the list mode, under this pattern, the history curve of a plurality of parameters can be presented in the same chart.The X-axis representative frame counting of chart, Y-axis is a parameter value.When receiving new Frame, curve can wholely left automatically move to show up-to-date data, and this helps the variation tendency of more intuitive monitored parameter.
Fig. 8 has shown an example that shows project data with curve model.
Among Fig. 8, be example, listed the numerical curve of each engineering parameter with curve model respectively with SWID project data (A).Horizontal ordinate is the acquisition time of engineering parameter in the curve map, and ordinate is the value of engineering parameter.The engineering parameter of enumerating in this example comprises parameters such as SC timing code, solar wind ion A+12V, solar wind ion A+5V, solar wind ion A high pressure, solar wind ion A counting rate.
The grouping of figure table schema support parameter curve.Can the approximate parameter of codomain be sorted out and divide in different groups, every group is used independently Y-axis coordinate, avoids numerous parameter value Y-axis span differences too big, and the parameter that span is little is difficult to distinguish to be read.The curve that shows on same chart is more, when perhaps the curve of similar color overlaps, chooses the curve of appointment, and the curve of choosing will highlight with thick lines.
Among the present invention, the project data of following biography and telemetry form are binary codes, need carry out binary code to the conversion between real physical, also are the parameter true form to the conversion of inverting value, thereby come out with formal representation intuitively.
Below the exemplary demonstration of table 2 parameter name and the conversion formula thereof of part project data.
Table 2
Figure BDA0000050112310000111
Through the parameter value after the physical quantity conversion, readability improves greatly, according to the principle of instruments design, provides the normal and unusual value or the span of parameter, can carry out the interpretation of real time data fast.For the solar wind ion detector, parameter value has determined the confidence level of the science data of obtaining in normal or abnormal ranges.
After real time data is carried out above-mentioned processing, need show all types of data in client, so that the surface work personnel are according to the real time data that shows, the duty and the working result of interpretation moonik load, the measure of in time making adjustment.
As shown in table 3; according to load characteristics and supervision needs; select different supervision display modes; monitor the real-time telemetry data and the real-time project data data of solar wind low energy ion detector; whether be in value limit or the alarm limit according to parameter values; judge the real-time working situation of solar wind low energy ion detector, for the solar wind ion detector, parameter value has determined the confidence level of the science data of obtaining in normal or abnormal ranges.
Table 3
In addition, can by science data look the quality that display result is judged the data result that the solar wind ion detector is surveyed soon, adjust the detector detection mode in view of the above, formulate and the revision survey plan.
The invention has the beneficial effects as follows: the real-time data processing method that utilization the present invention proposes, the real time data validity that can check moonik solar wind ion detector to obtain, and and then judgement solar wind ion detector duty and detection accuracy.
The above-mentioned embodiment of the present invention that it should be understood that only is used for exemplary illustration or explains principle of the present invention, and is not construed as limiting the invention.Therefore, any modification of under situation without departing from the spirit and scope of the present invention, being made, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.In addition, claims of the present invention are intended to contain whole variations and the modification in the equivalents that falls into claims scope and border or this scope and border.

Claims (17)

1. the disposal route of a moonik solar wind low energy ion detector real time data, described method comprises the steps:
Receive raw data, receive the raw data that passes under the solar wind low energy ion detector in real time;
The framing data processing is carried out frame synchronization, is gone to disturb with RS decoding and handle and obtain into frame data the raw data that passes down;
Channel Processing is carried out shunt to described one-tenth frame data and is separated frame and subpackage and handle to obtain solar wind low energy ion detector data source bag;
Data block is extracted, and described solar wind low energy ion detector data source bag is carried out unpacking processing to generate solar wind low energy ion detector data block;
The physical quantity conversion converts the solar wind low energy ion detector data block of described generation to the solar wind low energy ion detector data with actual physics implication;
Client shows, the solar wind low energy ion detector data after the conversion are sent to client with real-time demonstration.
2. disposal route according to claim 1, described raw data comprises project data, telemetry and science data, wherein,
Described project data is the self working state parameter that the solar wind low energy ion detector is gathered;
State parameter when described telemetry is the solar wind low energy ion detector work of being gathered by moonik;
Described science data are science data about the solar wind low energy ion that the solar wind low energy ion detector detects.
3. disposal route according to claim 2, wherein, in sampling period, obtain one group of science data by 48 energy roads and 12 polar angles are carried out 2 scanning, wherein each scanning all scan respectively in 24 energy roads each can pairing 12 polar angles in road.
4. disposal route according to claim 3 wherein, shows described science data with graphic model, tables of data pattern and/or the pattern that shows detail.
5. disposal route according to claim 4, described graphic model, tables of data pattern and the pattern of showing detail include by polar angle and add up and by these two kinds of display modes that can the road add up, wherein,
Adding up by polar angle shows the bivariate table of one 12 col width, and every row represents a polar angle, and every row represent frame data by counting the result afterwards that adds up by road direction ion;
Show the bivariate table of one 48 col width by can the road adding up, every row represents an energy road, and on behalf of frame data, every row count the result afterwards that adds up by polar angle direction ion.
6. disposal route according to claim 5, in described graphic model, horizontal ordinate is 48 energy roads or 12 polar angles, ordinate is expression image data timing code constantly, each can road or the ion counting accumulated value of polar angle to represent different time points with color lump, and different colour codes is represented can the road or the ion counting accumulated value size of polar angle.
7. disposal route according to claim 5 in described tables of data display mode, is presented at the different scanning accumulated value of the science data of 12 polar angles of each energy road correspondence constantly.
8. disposal route according to claim 5 in the described pattern that shows detail, shows 48 the energy roads of each scanning moment correspondence and the science data of 12 polar angles simultaneously.
9. disposal route according to claim 1, wherein, the conversion of described physical quantity comprises Binary Conversion is become sexadecimal or metric data, sexadecimal is converted to metric data, perhaps according to the physical equation translation data.
10. disposal route according to claim 1; described method also comprises; whether the solar wind low energy ion detector data according to real-time demonstration are in value limit or the alarm limit; the working condition of judging the solar wind low energy ion detector is normal or unusual, and whether the data that the solar wind low energy ion detector is surveyed are credible.
11. disposal route according to claim 10, described method also comprise, according to the result of described judgement, the solar wind low energy ion are taked the real-time control and the adjustment of detection mode.
12. disposal route according to claim 2 shows described project data and telemetry respectively with compact mode, list mode, tables of data pattern, curve model and/or figure table schema.
13. disposal route according to claim 12, described compact mode be according to from top to bottom, from left to right order shows current real time data.
14. disposal route according to claim 12, described list mode are the branch 4 row history curves of display parameter name, 16 system true forms, the parameter value after physical transformation and described parameter respectively.
15. disposal route according to claim 12, described data form pattern shows each parameter value constantly with form, is used for load current state and the change thereof constantly of each timing code of watch-keeping.
16. being the history curves with a plurality of parameters, disposal route according to claim 12, described curve model be presented in same the chart, the X-axis representative frame of this chart counting, and Y-axis is a parameter value; Wherein, when receiving new Frame, curve can wholely left automatically move to show up-to-date data.
17. disposal route according to claim 12, described figure table schema are the approximate parameter of codomain is sorted out and to be divided in different groups, every group is used independently Y-axis coordinate.
CN 201110060838 2011-03-14 2011-03-14 Method for processing real-time data of solar wind low-energy ion detector for lunar satellite Active CN102156293B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201110060838 CN102156293B (en) 2011-03-14 2011-03-14 Method for processing real-time data of solar wind low-energy ion detector for lunar satellite

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201110060838 CN102156293B (en) 2011-03-14 2011-03-14 Method for processing real-time data of solar wind low-energy ion detector for lunar satellite

Publications (2)

Publication Number Publication Date
CN102156293A true CN102156293A (en) 2011-08-17
CN102156293B CN102156293B (en) 2012-12-12

Family

ID=44437858

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201110060838 Active CN102156293B (en) 2011-03-14 2011-03-14 Method for processing real-time data of solar wind low-energy ion detector for lunar satellite

Country Status (1)

Country Link
CN (1) CN102156293B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102654584A (en) * 2012-04-28 2012-09-05 中国科学院国家天文台 Method for processing real time data of lunar satellite microwave detector
CN102706452A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Method for processing real-time data of lunar satellite interference imaging spectrometer
CN102707307A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Processing method for real-time data from lunar satellite high-energy solar particle detector
CN102706322A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Method for processing real-time monitoring data of moon laser altimeter
CN103412285A (en) * 2013-08-30 2013-11-27 中国科学院国家天文台 Lunar surface inspection tour device moon detection radar data preprocessing method
CN104243921A (en) * 2014-09-05 2014-12-24 中国科学院国家天文台 Extreme ultraviolet camera data real-time processing and displaying method
CN110095745A (en) * 2019-04-28 2019-08-06 中国科学院国家天文台 A kind of processing method of lunar orbiter low frequency radio frequency spectrograph real time data
CN110719216A (en) * 2019-10-22 2020-01-21 深圳航天东方红海特卫星有限公司 Data transmission data processing method, system, device and storage medium
CN112284441A (en) * 2020-10-16 2021-01-29 北京大学 Target radio source selection method for heaven-earth combined monitoring of solar wind

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103472436B (en) * 2013-08-30 2015-12-02 中国科学院国家天文台 The disposal route of lunar surface rover moon sight radar real time data

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101950330A (en) * 2010-09-29 2011-01-19 中国科学院国家天文台 Real time data processing method of lunar satellite X-ray detector

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101950330A (en) * 2010-09-29 2011-01-19 中国科学院国家天文台 Real time data processing method of lunar satellite X-ray detector

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《遥测遥控》 20011130 李秉常等 近地小卫星星座测控系统 第1-8页 1-17 第22卷, 第6期 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102707307B (en) * 2012-04-28 2014-05-21 中国科学院国家天文台 Processing method for real-time data from lunar satellite high-energy solar particle detector
CN102706452A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Method for processing real-time data of lunar satellite interference imaging spectrometer
CN102707307A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Processing method for real-time data from lunar satellite high-energy solar particle detector
CN102706322A (en) * 2012-04-28 2012-10-03 中国科学院国家天文台 Method for processing real-time monitoring data of moon laser altimeter
CN102654584B (en) * 2012-04-28 2014-02-26 中国科学院国家天文台 Method for processing real time data of lunar satellite microwave detector
CN102654584A (en) * 2012-04-28 2012-09-05 中国科学院国家天文台 Method for processing real time data of lunar satellite microwave detector
CN102706322B (en) * 2012-04-28 2014-12-10 中国科学院国家天文台 Method for processing real-time monitoring data of moon laser altimeter
CN103412285A (en) * 2013-08-30 2013-11-27 中国科学院国家天文台 Lunar surface inspection tour device moon detection radar data preprocessing method
CN103412285B (en) * 2013-08-30 2016-03-23 中国科学院国家天文台 The preprocess method of lunar surface rover moon sight radar data
CN104243921A (en) * 2014-09-05 2014-12-24 中国科学院国家天文台 Extreme ultraviolet camera data real-time processing and displaying method
CN110095745A (en) * 2019-04-28 2019-08-06 中国科学院国家天文台 A kind of processing method of lunar orbiter low frequency radio frequency spectrograph real time data
CN110719216A (en) * 2019-10-22 2020-01-21 深圳航天东方红海特卫星有限公司 Data transmission data processing method, system, device and storage medium
CN112284441A (en) * 2020-10-16 2021-01-29 北京大学 Target radio source selection method for heaven-earth combined monitoring of solar wind

Also Published As

Publication number Publication date
CN102156293B (en) 2012-12-12

Similar Documents

Publication Publication Date Title
CN102156293B (en) Method for processing real-time data of solar wind low-energy ion detector for lunar satellite
CN102654584B (en) Method for processing real time data of lunar satellite microwave detector
CN106679625A (en) High-precision deformation monitoring method of wide-area electric iron tower based on Beidou system
CN202153258U (en) Geological disaster monitoring and early warning system
CN102354431A (en) Monitoring and prewarning system and method for geological disasters
CN103398682A (en) Bridge displacement monitoring system and bridge displacement monitoring method
CN109164470A (en) The method and computation of real-time high-precision deformation monitoring in a kind of boring construction
CN102968484A (en) Flying data analyzing method for general-purpose plane
CN103278822A (en) HLA (High level architecture) platform-based performance evaluation system and method for satellite navigation and positioning system
CN106918360A (en) Automatic testing method, server, measurement equipment to be checked and terminal
Farrow et al. Correcting correlation functions for redshift-dependent interloper contamination
CN102706322B (en) Method for processing real-time monitoring data of moon laser altimeter
Sherwin et al. Quantifying oil and natural gas system emissions using one million aerial site measurements
CN103321681B (en) A kind of monitoring and pre-alarming method of coal mine roadway roof collapse disaster and system
CN102706452A (en) Method for processing real-time data of lunar satellite interference imaging spectrometer
CN103472436B (en) The disposal route of lunar surface rover moon sight radar real time data
CN102707307A (en) Processing method for real-time data from lunar satellite high-energy solar particle detector
CN105467462A (en) Low-low tracking gravity measuring satellite ground demonstration verification system
CN104391322A (en) Outdoor automated monitoring system and method for seismic apparatus arrangement equipment
CN115240082B (en) Geological disaster monitoring and early warning method based on deformation monitoring and deep learning
Ceccarelli et al. Galaxy peculiar velocities and infall onto groups
CN102831180A (en) Equipment and method for converting space references of land supervision data
Karunarathne et al. Modeling stepped leaders using a time‐dependent multidipole model and high‐speed video data
CN106791626B (en) A kind of integrity of video detection method
CN110598039A (en) Power line migration and transformation investigation method and system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant