CN111882505B - Application system based on emergency communication front-end box - Google Patents
Application system based on emergency communication front-end box Download PDFInfo
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Abstract
The invention is suitable for the field of emergency communication, and provides an application system based on an emergency communication front-end box.
Description
Technical Field
The invention belongs to the field of emergency communication, and particularly relates to an application system based on an emergency communication front-end box.
Background
The emergency communication system consists of a rear end box, a front end box, an individual communication-in-motion and visual command and dispatch platform and the like, is suitable for occasions such as earthquake relief, training and exercise needing emergency communication guarantee, supports various relay modes such as a public network 4G/private network 4G, IP wired network, a 2M/satellite link, optical fibers and the like, and can realize functions such as audio and video call, audio and video conference, external line relay access, literature and electricity interaction and the like.
In field training or emergency rescue occasions, the rear end box is used as a communication center of a rear command mechanism, and the communication center is communicated with an emergency command dispatching platform, the front end box, an individual soldier in-motion and other communication terminals to realize a remote emergency command communication function.
One common application method is that the front-end box and the back-end box can rely on an IP network or a public network 4G to implement audio/video call and conference functions through an operator IMS or a converged communication server (with a fixed IP address). The networking mode can use a cloud host built in a back-end box and a cloud terminal built in a front-end box to realize the data interaction function.
The video call and conference functions are directly realized between the back-end box and the front-end box through an internal private network or optical fibers, and the networking mode is high in safety. Based on the IP network or the public network 4G networking mode, data needs to pass through an operator server, so that the data security risk is increased.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an application system based on an emergency communication front-end box, which aims to solve the technical problem of poor security of the existing networking mode depending on an IP network or a public network.
The invention adopts the following technical scheme:
the application system based on the emergency communication front-end box comprises a front-end box and a server, and the working flow of the application system is as follows:
step S1, after an image frame is received by a front-end box, carrying out noise reduction treatment on the image frame data and storing the noise reduced image frame data into a cache queue;
step S2, each time the image frames are read from the buffer queue and stored into a temporary group, w-1 random natural numbers between 0 and X are randomly generated as the width demarcation point values of the image frames, and the arrangement is C from small to large 1 、C 2 、...、C w-1 H-1 random numbers between 0 and Y are randomly generated as the height demarcation point values of the image frames, and the arrangement from small to large is R 1 、R 2 、...、R h-1 Where X and Y are the width and height, respectively, of the image frame;
step S3, generating w multiplied by h grids according to the width demarcation points and the height demarcation points of the image frames of the temporary group, and numbering all grids of the image frames in sequence;
step S4, randomly reading grids of the temporary group image frames in each round, wherein the currently read grids have row numbers of i, column numbers of j and grid marks of G ij The current grid pixel line number is R i -R i-1 The grid pixel column number isC j -C j-1 For grid G ij Sine-adjusting each pixel of the grid, specifically multiplying the pixel value of each pixel by an adjustment coefficient, wherein the adjustment coefficient corresponding to the pixel of the m-th row and n-th column in the grid is k m ×sin((n×π/2)/(C j -C j-1 )),k m A scaling factor between 0 and 1 randomly generated for the m-th row of pixels;
s5, after sine adjustment of pixels in the grid is completed, overlapping each pixel with a mask pixel P 0 ；
S6, adding a start mark bit to the data head of the pixels in the grid, adding an end mark bit to the data tail, and combining with R i -R i-1 Scale factor and grid mark G ij Mask pixel P 0 Packaging to generate a grid data packet;
s7, after all grids of the image frame are read and processed, merging all obtained grid data packets, adding a frame header mark bit and a frame tail mark bit, and packaging together with w-1 width demarcation point values and h-1 height demarcation point values to generate a data frame;
and step S8, the server caches the data frame and then sends the data frame to a back-end box by taking the data frame as a unit.
Further, the mask pixel P 0 Is the average of the pixels of all pixels in the current grid.
The beneficial effects of the invention are as follows: the application system is used for processing the process that the front-end box sends the image data to the front-end box through the server, firstly, the image frames are divided into grids, then the grids are read randomly, sine adjustment and overlapping of mask pixels are carried out on the grids read each time, the concealment of the image data is improved, and the safety is high.
Drawings
Fig. 1 is a flowchart of an application system of an emergency communication head-end box according to a first embodiment of the present invention.
Fig. 2 is a meshing schematic.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
The application system based on the emergency communication front-end box comprises a front-end box and a server, wherein fig. 1 shows the workflow of the application system of the emergency communication front-end box provided by the embodiment of the invention, and only the parts relevant to the embodiment of the invention are shown for convenience of explanation.
The application system workflow is as follows:
s1, noise reduction. After the front-end box receives the image frames, the front-end box performs noise reduction processing on the image frame data and stores the noise reduced image frame data into a cache queue.
Generally, video is shot through an unmanned aerial vehicle, the shot video is wirelessly transmitted to a front-end box, the front-end box takes frames as units, noise reduction processing is carried out on each image frame, noise reduction processing is needed because the shot video image has some noise points, the specific noise reduction algorithm is mature in the prior art, and the description is omitted here.
And S2, a grid division step. Every time the image frames are read from the buffer queue and stored into a temporary group, w-1 random natural numbers between 0 and X are randomly generated as the width demarcation point values of the image frames, and the arrangement is C from small to large 1 、C 2 、...、C w-1 H-1 random numbers between 0 and Y are randomly generated as the height demarcation point values of the image frames, and the arrangement from small to large is R 1 、R 2 、...、R h-1 Where X and Y are the width and height, respectively, of the image frame.
As shown in FIG. 2, the width demarcation point values and the height demarcation point values are respectively ordered by randomly generating w-1 random natural numbers as the width demarcation point values of the image frames and h-1 random numbers as the height demarcation point values of the image frames, corresponding to the demarcation points of the wide sides and the long sides of the image frames.
And step S3, numbering. And generating w multiplied by h grids according to the width demarcation points and the height demarcation points of the image frames of the temporary group, and numbering all grids of the image frames in sequence.
The image frame may be divided into w×h grids according to the demarcation points, each grid is then numbered, and finally the pixels in the grid are processed. For example, for grid row number i, column number j, grid label G ij . In FIG. 2, the black block grid is numbered G 2,3 . Where the w and h values should not be too large, otherwise the computational complexity is increased,
and S4, a sine adjusting step. The grids of the temporary group image frames are randomly read in each round, the currently read grid row number is i, the column number is j, and the grid mark is G ij The current grid pixel line number is R i -R i-1 Grid pixel column number is C j -C j-1 For grid G ij Sine-adjusting each pixel of the grid, specifically multiplying the pixel value of each pixel by an adjustment coefficient, wherein the adjustment coefficient corresponding to the pixel of the m-th row and n-th column in the grid is k m ×sin((n×π/2)/(C j -C j-1 )),k m A scaling factor between 0 and 1 randomly generated for the m-th row of pixels.
Each round reads a grid, e.g. the current grid number G ij It is known that the current grid is located in the ith row and jth column of the image frame. Thus the number of rows of the current grid pixel is R i -R i-1 Grid pixel column number is C j -C j-1 Wherein R is 0 ＝0，R h ＝Y，C 0 ＝0，C w ＝X。
For the current grid, the number of pixel rows is R i -R i-1 Column number C j -C j-1 For the pixels in the grid, a scale factor between 0 and 1 is set for each row of pixels, and the scale factor of the m-th row of pixels is k m . For each row of pixels, then multiplying an adjustment coefficient to perform sine adjustment, wherein the adjustment coefficient corresponding to the pixels in the m-th row and n-th column in the grid is k m ×sin((n×π/2)/(C j -C j-1 ) And thus the adjustment coefficient is different for each pixel. Through sine waveAfter adjustment, the pixels in the grid are stretched in a sinusoidal fashion for each row.
And S5, a mask overlapping step. After the sine adjustment of the pixels in the grid is completed, each pixel is overlapped with a mask pixel P 0 。
In this embodiment, the mask pixel P 0 A constant value is possible and all grid mask pixels are uniform. Or variable, different grid mask pixels are different. In the present embodiment, the pixel P is masked 0 Is the average of the pixels of all pixels in the current grid.
And S6, a grid packaging step. Adding a start marker bit to the data head of the pixels in the grid, adding an end marker bit to the data tail, and carrying out R i -R i-1 Scale factor and grid mark G ij Mask pixel P 0 And packaging to generate a grid data packet.
After all pixels in a grid are processed, a start mark bit is added to the data head of the grid, an end mark bit is added to the data tail, and the data head, the grid mark and the mask pixels are packaged and transmitted together.
And S7, a data frame packaging step. And after all grids of the image frame are read and processed, merging all obtained grid data packets, adding a frame header mark bit and a frame tail mark bit, and packaging together with w-1 width demarcation point values and h-1 height demarcation point values to generate a data frame.
There are a total of w x h trellis packets, which are combined while adding a frame header marker bit at the start position and an end marker bit at the end of the frame. For distinguishing between different image frames.
Step S8, a data frame sending step. The server caches the data frames and then sends the data frames to a back-end box in units of data frames.
After the packed data frame servers are cached, the data frames are sent to a back-end box one by one, and the back-end box performs reverse processing to finally restore the original image data. Firstly analyzing a data frame, analyzing a frame header mark bit and a frame tail mark bit to obtain data of one image frame, and simultaneously according to a numberAccording to the w-1 width demarcation point values and the h-1 height demarcation point values in the frame, the number of grids of the image frame can be known. Then each grid data packet has a head part with a start mark bit and a tail part with an end mark bit, so that each specific grid data packet can be analyzed, and the grid mark G is determined according to the proportionality coefficient of the grid data packet ij Mask pixel P 0 First, according to grid mark G ij The number of rows and columns of the current grid in the image frame can be known, the number of rows and columns of the pixels of the current grid can be known by combining the width demarcation point value and the height demarcation point value, then each row and column of pixels are restored, and then the mask pixels P are subtracted 0 Dividing the image frame grid by the scaling factor, and finally performing arcsine processing to restore the original image frame grid. And restoring all grids of the image frame, and then restoring to obtain an original image according to the grid number.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (2)
1. An application system based on an emergency communication front-end box comprises the front-end box and a server, and is characterized in that the application system work flow is as follows:
step S1, after an image frame is received by a front-end box, carrying out noise reduction treatment on the image frame data and storing the noise reduced image frame data into a cache queue;
step S2, each time the image frames are read from the buffer queue and stored into a temporary group, w-1 random natural numbers between 0 and X are randomly generated as the width demarcation point values of the image frames, and the arrangement is C from small to large 1 、C 2 、...、C w-1 H-1 random numbers between 0 and Y are randomly generated as the height demarcation point values of the image frames, and the arrangement from small to large is R 1 、R 2 、...、R h-1 Where X and Y are the width and height, respectively, of the image frame;
step S3, generating w multiplied by h grids according to the width demarcation points and the height demarcation points of the image frames of the temporary group, and numbering all grids of the image frames in sequence;
step S4, randomly reading grids of the temporary group image frames in each round, wherein the currently read grids have row numbers of i, column numbers of j and grid marks of G ij The current grid pixel line number is R i -R i-1 Grid pixel column number is C j -C j-1 For grid G ij Sine-adjusting each pixel of the grid, specifically multiplying the pixel value of each pixel by an adjustment coefficient, wherein the adjustment coefficient corresponding to the pixel of the m-th row and n-th column in the grid is k m ×sin((n×π/2)/(C j -C j-1 )),k m A scaling factor between 0 and 1 randomly generated for the m-th row of pixels;
s5, after sine adjustment of pixels in the grid is completed, overlapping each pixel with a mask pixel P 0 ；
S6, adding a start mark bit to the data head of the pixels in the grid, adding an end mark bit to the data tail, and combining with R i -R i-1 Scale factor and grid mark G ij Mask pixel P 0 Packaging to generate a grid data packet;
s7, after all grids of the image frame are read and processed, merging all obtained grid data packets, adding a frame header mark bit and a frame tail mark bit, and packaging together with w-1 width demarcation point values and h-1 height demarcation point values to generate a data frame;
and step S8, the server caches the data frame and then sends the data frame to a back-end box by taking the data frame as a unit.
2. The emergency communication front-end box based application system of claim 1, wherein the mask pixel P 0 Is the average of the pixels of all pixels in the current grid.
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