CN104243921A - Extreme ultraviolet camera data real-time processing and displaying method - Google Patents

Abstract

The invention discloses an extreme ultraviolet camera data real-time processing and displaying method. The method includes the steps that original bit stream data collected by an extreme ultraviolet camera are received; quick look processing is conducted on the original bit stream data, and framing data are generated; after channel processing is conducted on the framing data, image data in data frames are extracted; the image data are displayed in a preset display mode. By means of the method, detector data downloaded in real time are transmitted and processed, and type data of the extreme ultraviolet camera are extracted; according to the equipment state and the data characteristics of the extreme ultraviolet camera, the detection data of the extreme ultraviolet camera are processed and displayed in different modes.

Description

Extreme ultraviolet camera data processes and display packing in real time

Technical field

The invention relates to extreme ultraviolet camera (be called for short EUVC) generating date and monitor the method for display, can realize the real-time process of extreme ultraviolet camera data and look soon.

Background technology

Extreme ultraviolet camera is in the world first at the Image-forming instrument of the extreme ultraviolet waveband of moonscape landing, be arranged on the top of lander, can utilize that the moon is stable, vacuum environment, plasmasphere around the earth is observed, comprehensive, long-term observational study is carried out in the 30.4nm radiation produced the plasmasphere around the earth.Detection solar activity and terrestrial magnetic disturbance are on the impact of terrestrial space plasmasphere extreme ultraviolet radiation on the whole, the effect of research plasmasphere in space weather process, and can improve China's Space environmental monitoring and prediction ability.Instrument, in scientific exploration process, in order to ensure that extreme ultraviolet camera normally works and obtains exactly and accurately science data, needing the running status of real time monitoring load, carrying out process in real time and look soon the detection data passed down.

Summary of the invention

In view of this, the present invention proposes a kind of extreme ultraviolet camera data to process in real time and display packing.

The present invention proposes a kind of extreme ultraviolet camera data to process in real time and display packing, it comprises:

The original bit stream data that receiving pole ultraviolet-cameras collects;

Preliminary treatment is carried out to described original bit stream data, generates Framed Data;

After Channel Processing is carried out to described Framed Data, extract the view data in Frame;

Described view data is shown according to the display mode preset.

Wherein, described extreme ultraviolet camera has two kinds of mode of operations: detection mode and Auto-Sensing Mode; Wherein, under described detection mode, extreme ultraviolet camera is used for detection data; Under described Auto-Sensing Mode, described extreme ultraviolet camera is used for self-inspection.

Wherein, described detection mode comprises detection mode one and detection mode two, and the image data format difference under two kinds of detection modes; Image data format under described Auto-Sensing Mode is identical with the image data format of described detection mode one.

Wherein, under described detection mode one and Auto-Sensing Mode extreme ultraviolet collected by camera to view data adopt 1500 × 1500 equivalent pel data to represent, each pel data is identified by 2 bit grayscale values.

Wherein, described detection mode two times extreme ultraviolet collected by cameras to view data adopt 376 × 376 equivalent pel data represent, each pixel average counter is 100, and each pixel is made up of 3 kinds of data, and often kind of data are identified by 2 bit grayscale values.

Wherein, described Framed Data comprise image frame head, frame count, image auxiliary data, view data and image terminate mark; Wherein, described image auxiliary data comprises the data for the data length of identification image data and the mode of operation of extreme ultraviolet camera.

Wherein, the display mode preset described in comprises:

Image display is carried out to the view data under detection mode one and self-recommendation pattern; Image display is carried out to the view data under detection mode two; Show after view data resampling; Initial data numerical value in view data under detection mode two is shown.

Wherein, carry out image display to the view data under detection mode two specifically to comprise:

The two-dimensional array of initialization N × N is for storing generated view data, and N is natural number;

A line S in reads image data, W, Z data, use following formula to each group (S, W, Z) data calculate (X, Y) the individual element index value in N × N two-dimensional array: wherein S, W, Z are respectively three kinds of data that in detection mode two hypograph data, each picture dot comprises;

$\left\{\begin{array}{c}X=N\·K\·(a_1\frac{S}{S+W+Z}+b_1\frac{W}{S+W+Z}+c_1)-x0\\ Y=N\·K\·(a_2\frac{W}{S+W+Z}+b_2\frac{S}{S+W+Z}+c_2)-y0\end{array}\right.$

Wherein, K represents byte number shared by often kind of data; Default value a ₁=a ₂=1, b ₁=b ₂=c ₁=c ₂=x ₀=x ₀=0;

By the gray value+1 of (X, Y) individual element in calculated N × N two-dimensional array;

All Datarows successively in reads image data, repeats above-mentioned steps, until the All Datarows in view data has all been processed;

Show the view data stored in the N × N two-dimensional array finally obtained.

Wherein, specifically comprise showing after view data resampling:

The size of data of setting image resampling is N × N, the two-dimensional array of initialization one N × N, and N is natural number;

Suppose that the size of data of view data is M × M, and M/N=n, M are natural number, n is natural number; Then from the view data upper left corner, after the gray value of n-th × n picture dot being added according to ranks order, from the upper left corner of the two-dimensional array of described N × N, being its assignment according to ranks order equally, finally obtaining N × N two-dimensional array; Show the view data that described N × N two-dimensional array is corresponding.

Wherein, the initial data numerical value in the view data under detection mode two shown specifically comprise:

Show S, W, Z and S+W+Z value in described view data with the form of four full curves, wherein S, W, Z are respectively three kinds of data that in detection mode two hypograph data, each picture dot comprises.

The generating date that the present invention is directed to extreme ultraviolet camera with soon depending on method: the detector data passed down is in real time transmitted, process, extraction extreme ultraviolet camera type data.According to equipment state and the data characteristics of extreme ultraviolet camera, adopt different mode treatment and display extreme ultraviolet camera detection data.

Accompanying drawing explanation

Fig. 1 is real-time process and the display packing flow chart of extreme ultraviolet camera data in the present invention;

Fig. 2 carries out to extreme ultraviolet camera detection data the method flow diagram that processes Yu show in the present invention;

Fig. 3 is the true imaging image of detection mode once 1500 × 1500 forms in the present invention;

Fig. 4 is the true imaging image of detection mode once 750 × 750 forms in the present invention;

Fig. 5 is the true imaging image of detection mode once 500 × 500 forms in the present invention;

Fig. 6 is the true imaging image of detection mode once 250 × 250 forms in the present invention;

Fig. 7 is the analog simulation image of detection mode once 1500 × 1500 forms in the present invention;

Fig. 8 is the analog simulation image of detection mode once 750 × 750 forms in the present invention;

Fig. 9 is the analog simulation image of detection mode once 500 × 500 forms in the present invention;

Figure 10 is the analog simulation image of detection mode once 250 × 250 forms in the present invention;

Figure 11 is the true picture that in the present invention, detection mode generates for two times;

Figure 12 is the analog image that in the present invention, detection mode generates for two times;

Figure 13 is the authentic original data numerical imaging of detection mode two times displays in the present invention;

Figure 14 is the simulation initial data numerical imaging of detection mode two times displays in the present invention.

Embodiment

For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in further detail.

The invention provides a kind of real-time process of extreme ultraviolet camera data and monitor the method for display, Using such method, the process such as the conversion of complete paired data communication channel, physical quantity, realize the real-time process of extreme ultraviolet camera data, support scientific basic investigation and application, supported data look display soon, the operation of real time monitoring instrument and acquisition mode, concrete implementation step as shown in Figure 1:

Step 101: utilize extreme ultraviolet collected by camera data and export; Extreme ultraviolet camera has two kinds of mode of operations, is respectively detection mode and Auto-Sensing Mode.

When extreme ultraviolet camera is operated in detection mode, be in start and obtain detection data state, its drainage pattern has two kinds:

Pattern 1 is usual drainage pattern, also coordinate model is claimed, the image information detected under this pattern comprises image location information: extreme ultraviolet collected by camera to piece image adopt 1500 × 1500 equivalent pel data represent, each pel data is 2 bit grayscale value marks, amounts to 1500 × 1500 × 2=4.3MB.One frame image data arranges according to the order that pixel line order is preferential, and 2 byte pel data can by first high rear low D15--D0, and 16bit represents altogether.The image composition of pattern 1 is as shown in table 1.

Table 1 pattern 1 and self-inspection image data format

Line identifier (2 byte)	Line order number (2 byte)	View data	View data	View data	View data
						FC36H	C001H	X0Y0	X0Y1	........	X0Y1499
FC36H	.........	..........	..........	........	............
						FC36H	C5DCH	X1499Y0	X1499Y1	........	X1499Y1499

Front 4 bytes of often going in table 1 are line identifier and line order number.First and second byte is that line identifier is defined as FC36H, and third and fourth byte is line order number, and wherein high two are fixed as " 11 ", and low 14 is line order number.The first row line order number is C001H, and the second every trade sequence number is C002H, and by that analogy, the 1500th every trade sequence number is C5DCH.

Pattern 2 is acquired original pattern: the piece image that extreme ultraviolet collected by camera arrives adopts 376 × 376 equivalent pel data, and equivalent pixel is a virtual concept, in order to the convenience of initial data arrangement.Each pixel average counter is 100, and 3 electrodes simultaneously image data and each pixel obtain 3 kinds of data by after 3 Different electrodes collections, each accuracy of data acquisition 12, take 2 bytes, low 12 effectively.Amount to 376 × 376 × 100 × 3 × 2=80.9MB.View data length is a variable, but no longer than 80.9MB.As shown in table 2.

Table 2 pattern 2 image data format

Front 4 bytes of often going in table 2 are line identifier and line order number.First and second byte is that line identifier is defined as FC36H, and third and fourth byte is line order number, and wherein high two are fixed as " 11 ", and low 14 is line order number.The first row line order number is C001H, and the second every trade sequence number is C002H, and by that analogy, the maximum line number of a two field picture is: 14129, and line identifier is F731H.When one sub-picture is 80.9MB, the N in table 6-3 is 14129, and the columns of last 1 row is 2642.

Extreme ultraviolet camera has Auto-Sensing Mode, and under Auto-Sensing Mode, extreme ultraviolet camera detects the treatment state of extreme ultraviolet camera internal electronic system by the pulse that inside generates; The data format common mode 1 of Auto-Sensing Mode.When extreme ultraviolet camera is made a video recording under Auto-Sensing Mode, by the pulse signal of FPGA circuit evolving one road certain frequency and amplitude in signal transacting case as source signal, this road signal is inputed to simultaneously three tunnel signal processing circuits of signal box.

Extreme ultraviolet camera is after collecting a frame image data, and the image data format of output is in table 3.

Table 3 extreme ultraviolet camera exports data format

Table 4 extreme ultraviolet camera image assistance data format

Step 102: the data that the extreme ultraviolet camera that ground station's real-time reception detector passes down detects, and it is processed and looks display soon;

Downlink data is through ground station reception and forwarding, and ground application system general headquarters need to separate the process such as frame, data extraction to the Framed Data received through frame synchronization, shunt, the initial data of extreme ultraviolet camera are extracted, form extreme ultraviolet camera original data block.Idiographic flow as shown in Figure 2, comprising:

Step 1021: the original bit stream data that pick-up probe passes down;

Step 1022: ground station generates Framed Data after carrying out Quicklook to described original bit stream data, described Quicklook comprises frame synchronization, descrambling, RS decoding Channel Processing;

Step 1023: after carrying out Channel Processing to described Framed Data, extracts the EUVC data block in Frame, the view data namely under detection mode 1, detection mode 2 or Auto-Sensing Mode; Wherein, because different types of data is assigned with different channel logos, therefore described Channel Processing specifically refers to the data type different according to channel logo identification, extracts rear splicing to dissimilar data;

Step 1024: show described EUVC data block.

Can preset display mode according to actual needs in this step, described display mode specifically comprises: one, carry out image display to the described EUVC data block under detection mode one and self-recommendation pattern; Two, show after the view data resampling in EUVC data block; Three, Computer image genration and display are carried out to the described EUVC data block under detection mode two; Four, the initial data numerical value in the described EUVC data block under detection mode two is shown.Wherein, carrying out image display for the view data under detection mode one and self-recommendation pattern, the view data under detection mode two being carried out to image display is all identify according to the image data format under each self mode, and directly shows image.For the image display function of the EUVC data block under detection mode one and Auto-Sensing Mode.First identifying rows mark and line order number, then according to the EUVC data block display image of this row.Extreme ultraviolet camera image form is 1500 × 1500, each pixel positive INTEGER representation gray value of 16 bits; (X0 in science data first character correspondence image in row, Y0) gray value, the gray value of second word representative (X0, Y1), the like .... (X0, Y1499), (X1, Y0) ... (X1, Y1499), (X1499, Y0) ... (X1499, Y1499).Fig. 3 is detection mode one true imaging image 1500 × 1500 form.Fig. 7 is detection mode one analog simulation image 1500 × 1500 form.

For image resampling function, show after carrying out resampling especially by following manner:

The size of data of setting image resampling is N × N, the two-dimensional array of initialization one N × N;

Suppose that the size of data of view data is M × M, and M/N=n, n are integer; Then from the view data upper left corner, after the gray value of n-th × n picture dot being added according to ranks order, from the upper left corner of the two-dimensional array of described N × N, being its assignment according to ranks order equally, finally obtaining N × N two-dimensional array; Show the view data that described N × N two-dimensional array is corresponding.

Can with 750 × 750,500 × 500,250 × 250 forms to image resampling in the embodiment of the present invention; Require to merge pixel gray scale during resampling cumulative as a pixel gray value display.For 750 × 750 resamplings, method for resampling is described:

1) 750 × 750 two-dimensional arrays (element type is the positive integer of 16 bits) are opened up as the view data memory space after resampling;

2) by (0,0) (0,1) (1 in original image, 0) (1,1) gray value of four adjacent pixels is added, and income value is as the gray value of (0,0) pixel in 750 × 750 format-patterns after resampling; In like manner be added by the gray value of four the adjacent pixels in (0,2) (0,3) (1,2) (1,3), income value is as (0,1) gray value in 750 × 750 format-patterns after resampling;

3) be added by the gray value of pixel adjacent for (2i, 2j) (2i, 2j+1) (2i+1,2j) (2i+1,2j+1) four, income value is as (i, j) gray value in 750 × 750 format-patterns;

4) by (1498,1498) (1498,1499) (1499,1498) (1498,1499) gray value of four adjacent pixels is added, and income value is as (749,749) gray value in 750 × 750 format-patterns;

Extended formatting resampling Principle Method is with 750 × 750 resamplings.Fig. 4 is detection mode one true imaging image 750 × 750 form.Fig. 5 is detection mode one true imaging image 500 × 500 form.Fig. 6 is detection mode one true imaging image 250 × 250 form.Fig. 8 is detection mode one analog simulation image 750 × 750 form.Fig. 9 is detection mode one analog simulation image 500 × 500 form.Figure 10 is detection mode one analog simulation image 250 × 250 form.

When showing, picture contrast can be adjusted according to demand at image resampling.

For Computer image genration and the Presentation Function of the EUVC data block under detection mode two, as Figure 11 and 12.What detection mode two times extreme ultraviolet cameras passed down is S, W, Z tri-road original signal data, pass under the form of these initial data according to (S0W0Z0 S1W1Z1 S2W2Z2....WiZiSi.....S999W999Z999), every 1000 groups of S, W, Z data are a data line, and each data are with 2 byte representations (low 12bit is effective).As follows by the process of down-transmitting data synthetic image:

1) two-dimensional array (element type is the positive integer of 16 bits) of N × N is opened up as image data generating memory space;

2) read a line i.e. 1000 groups of S, W, Z data, use following formula to obtain (X, Y) individual element index value in N × N two-dimensional array to each group (S, W, Z) calculated signals:

$\left\{\begin{array}{c}X=N\·K\·(a_1\frac{S}{S+W+Z}+b_1\frac{W}{S+W+Z}+c_1)-x0\\ Y=N\·K\·(a_2\frac{W}{S+W+Z}+b_2\frac{S}{S+W+Z}+c_2)-y0\end{array}\right.$

In formula:

K=2, byte number shared by each data;

N=1500, int type variable, current, it can get other values, determines according to the image data format size that extreme ultraviolet camera detects;

Default a ₁=a ₂=1, b ₁=b ₂=c ₁=c ₂=x ₀=x ₀=0, double type variable;

3) by the gray value+1 of (X, Y) element in calculated N × N two-dimensional array;

4) read All Datarows successively, according to 2), 3) operational processes data;

5) final gained N × N image is shown.

For original value data Presentation Function in detection mode two times EUVC data blocks, as Figure 13 and 14.S, W, Z and S+W+Z of passing down in initial data is shown with the form of four full curves, in curve, data display order is: every 1st group and the 500th group in the 1st row, every 1st group and the 500th group in 2nd row, ... every 1st group and the 500th group in the i-th row, ... every 1st group and the 500th group in last column, wherein ordinate is respectively the value of S, W, Z and S+W+Z.

By under pass science data and preserve according to " EUV science data product format (pattern 1) " or " EUV science data product format (pattern 2) " or " EUV science data product format (Auto-Sensing Mode) " framing.

The 6th byte " camera mode of operation " according in " extreme ultraviolet camera image assistance data format table 4 ": 33H represents Auto-Sensing Mode data, and 11H represents detection mode one data, and 22H represents detection mode two data.

Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be 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 amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. extreme ultraviolet camera data processes and a display packing in real time, and it comprises:

The original bit stream data that receiving pole ultraviolet-cameras collects;

Quicklook is carried out to described original bit stream data, generates Framed Data;

After Channel Processing is carried out to described Framed Data, extract the view data in Frame;

Described view data is shown according to the display mode preset.

2. the method for claim 1, wherein described extreme ultraviolet camera has two kinds of mode of operations: detection mode and Auto-Sensing Mode; Wherein, under described detection mode, extreme ultraviolet camera is used for detection data; Under described Auto-Sensing Mode, described extreme ultraviolet camera is used for self-inspection.

3. method as claimed in claim 2, wherein, described detection mode comprises detection mode one and detection mode two, and the image data format difference under two kinds of detection modes; Image data format under described Auto-Sensing Mode is identical with the image data format of described detection mode one.

4. method as claimed in claim 2, wherein, under described detection mode one and Auto-Sensing Mode extreme ultraviolet collected by camera to view data adopt 1500 × 1500 equivalent pel data to represent, each pel data is identified by 2 bit grayscale values.

5. method as claimed in claim 2, wherein, described detection mode two times extreme ultraviolet collected by cameras to view data adopt 376 × 376 equivalent pel data represent, each pixel average counter is 100, each pixel is made up of 3 kinds of data, and often kind of data are identified by 2 bit grayscale values.

6. the method for claim 1, wherein described Framed Data comprise image frame head, frame count, image auxiliary data, view data and image terminate mark; Wherein, described image auxiliary data comprises the data for the data length of identification image data and the mode of operation of extreme ultraviolet camera.

7. the method as described in any one of claim 1-6, wherein, described in the display mode that presets comprise:

Image display is carried out to the view data under detection mode one and Auto-Sensing Mode; Image display is carried out to the view data under detection mode two; Show after view data resampling; Initial data numerical value in view data under detection mode two is shown.

8. method as claimed in claim 7, wherein, image display is carried out to the view data under detection mode two and specifically comprises:

The two-dimensional array of initialization N × N is for storing generated view data, and N is natural number;

A line S in reads image data, W, Z data, use following formula to each group (S, W, Z) data calculate (X, Y) the individual element index value in N × N two-dimensional array: wherein S, W, Z are respectively three kinds of data that in detection mode two hypograph data, each picture dot comprises;

$\left\{\begin{array}{c}X=N\·K\·(a_1\frac{S}{S+W+Z}+b_1\frac{W}{S+W+Z}+c_1)-x0\\ Y=N\·K\·(a_2\frac{W}{S+W+Z}+b_2\frac{S}{S+W+Z}+c_2)-y0\end{array}\right.$

Wherein, K represents byte number shared by often kind of data; Default value a ₁=a ₂=1, b ₁=b ₂=c ₁=c ₂=x ₀=x ₀=0;

By the gray value+1 of (X, Y) individual element in calculated N × N two-dimensional array;

All Datarows successively in reads image data, repeats above-mentioned steps, until the All Datarows in view data has all been processed;

Show the view data stored in the N × N two-dimensional array finally obtained.

9. method as claimed in claim 7, wherein, specifically comprises showing after view data resampling:

The size of data of setting image resampling is N × N, the two-dimensional array of initialization one N × N, and N is natural number;

Suppose that the size of data of view data is M × M, and M/N=n, M are natural number, n is natural number; Then from the view data upper left corner, after the gray value of n-th × n picture dot being added according to ranks order, from the upper left corner of the two-dimensional array of described N × N, being its assignment according to ranks order equally, finally obtaining N × N two-dimensional array;

Show the view data that described N × N two-dimensional array is corresponding.

10. method as claimed in claim 7, wherein, shows the initial data numerical value in the view data under detection mode two and specifically comprises:

Show S, W, Z and S+W+Z value in described view data with the form of four full curves, wherein S, W, Z are respectively three kinds of data that in detection mode two hypograph data, each picture dot comprises.