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CN119515655A - A method for realizing secure fusion of massive big data images - Google Patents

A method for realizing secure fusion of massive big data images Download PDF

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Publication number
CN119515655A
CN119515655A CN202411622509.XA CN202411622509A CN119515655A CN 119515655 A CN119515655 A CN 119515655A CN 202411622509 A CN202411622509 A CN 202411622509A CN 119515655 A CN119515655 A CN 119515655A
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image
sha
value
mobile phone
sent
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王可
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/0021—Image watermarking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging

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  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Processing (AREA)

Abstract

The invention provides a method for realizing safe fusion of massive large data images, which comprises the following steps of S1, sequentially numbering all image data to be sent to a mobile phone end, carrying out image operation on each image to obtain an image operation value of each image, S2, obtaining image information of each image, calculating the total number of pixel points of each image, S3, and carrying out image operation value obtained in the step S1And S4, fusing the connection value obtained in the step S3 with the image value to obtain a fused image. The invention can ensure the safety of massive chat big data pictures.

Description

Method for realizing safe fusion of massive big data images
The application relates to a split application of Chinese application patent application with the application date of 2021, 04 month and 06 days, the application number of 202410361173X and the application creation name of 'a method for realizing the safety of mass chat big data pictures'.
Technical Field
The invention relates to the technical field of massive chat big data, in particular to a method for realizing safe fusion of massive big data images.
Background
Along with the increasing degree of intelligentization of mobile terminals, the applications of mobile terminals are becoming more and more widespread, and especially along with the popularization of instant chat tools, communication among many users can be carried out through the instant chat tools, and important picture information exchange is inevitably involved.
Disclosure of Invention
The invention aims at least solving the technical problems existing in the prior art, and particularly creatively provides a method for realizing safe fusion of massive large-data images.
In order to achieve the above purpose of the present invention, the present invention provides a method for implementing secure fusion of massive large data images, comprising the following steps:
S1, sequentially numbering all image data to be sent to a mobile phone end, wherein A 1、A2、A3、……、Aa is respectively carried out in sequence, wherein A 1 represents a 1 st image to be sent to the mobile phone end, A 2 represents a 2 nd image to be sent to the mobile phone end, A 3 represents A3 rd image to be sent to the mobile phone end, A a represents an a-th image to be sent to the mobile phone end, and a is the total number of all image data to be sent to the mobile phone end;
S2, acquiring image information of each image, wherein the image information comprises a width value of the image, a height value of the image and resolution of the image;
s3, performing image operation value obtained in the step S1 Performing secondary operation to obtain a connection value;
S4, fusing the connection value obtained in the step S3 with the image value to obtain a fused image thereof, wherein a set formed by all the fused images and the corresponding image operation values is an image set to be transmitted;
And S5, if the controller receives the image data to be checked and receives the continuous checking trigger signal, performing image restoration processing on the image data to be checked to obtain a checked image, and if the continuous checking trigger signal is interrupted or after Ts is obtained, T is a positive number, S is a time unit of seconds, and the checked image becomes a blurred image.
In a preferred embodiment of the present invention, in step S1, the method for obtaining the image calculation value of each image by performing the image calculation on each image comprises:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
a b represents an b-th image to be transmitted to the handset side, b=1, 2, 3.
Image CalculationThe b-th image A b to be sent to the mobile phone end adopts the image operation value obtained by the digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512.
In a preferred embodiment of the present invention, in step S2, the method for calculating the total number of pixels in each image is as follows:
Wherein, The width value of the b-th image A b to be sent to the mobile phone end is expressed in centimeters;
The height value of the b-th image A b to be sent to the mobile phone end is expressed in centimeters;
The resolution of the b-th image A b to be sent to the handset end is expressed in pixels per inch;
a conversion coefficient indicating that a b-th image A b to be transmitted to a mobile phone end is converted from inches to centimeters;
And the total number of pixel points of the b-th image A b to be sent to the mobile phone end is represented.
In a preferred embodiment of the present invention, in step S3, the number of operations is countedThe calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
Representing the total number of pixel points of the b-th image A b to be sent to the mobile phone terminal;
delta represents the number of bits that make up the pixel value;
H represents the binary total number of bits of the digest value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total number of operations.
In a preferred embodiment of the present invention, in step S3, the connection value calculating method includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation the b-th image A b to be sent to the mobile phone end adopts the abstract function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512 to obtain the image operation value;
When i=1, the number of the cells, I 1 represents an image operand Image CalculationDigest values obtained using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when I is not equal to 1, I i＝Summary Function[Ii-1],Ii represents the digest value obtained by using one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512 for I i-1;
i.e., i=2, I 2＝Summary Function[I1,
I=3, I 3＝Summary Function[I2,
I=4, I 4＝Summary Function[I3,
......,
In the time-course of which the first and second contact surfaces,
The method for obtaining the connection value comprises the following steps:
Wherein, & represents a connector;
Representing the connection value.
In a preferred embodiment of the present invention, in step S4, the method for obtaining the fused image thereof is as follows:
Wherein, Representing connection valuesThe value corresponding to the c bit from left to right;
The ";
Representing an arrangement value corresponding to the c-th position after all pixel points of the b-th image A b to be sent to the mobile phone end are arranged into image values;
And representing the arrangement value corresponding to the c-th position after all the pixel points in the fused image are arranged into the image value.
In a preferred embodiment of the present invention, the method of arranging all the pixels thereof into image values comprises the steps of:
S81, sequentially arranging the pixel points in the b-th image a b to be sent to the mobile phone end from left to right and from top to bottom, wherein the pixel points are sequentially 1 st pixel point, 2 nd pixel point, 3 rd pixel point, and third pixel point The number of pixels in a pixel is,Representing the total number of pixels of the received b-th image A b;
S82, converting the pixel value corresponding to each pixel point into a binary value, and converting all the converted binary values into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the following And sequentially arranging the pixel points to obtain the image values of all the pixel points.
In a preferred embodiment of the present invention, the method of obtaining a viewing image in step S5 comprises the steps of:
S101, performing image operation value Performing secondary operation to obtain a mobile phone end connection value;
S102, restoring the obtained mobile phone end connection value and the image value in the fused image to obtain a restored image thereof, wherein if the mobile phone end image operation value is consistent with the image operation value, the restored image is the checked image;
in step 101, the number of operations is counted at the mobile phone end The calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
representing the total number of pixel points of the b 'fused image A b′' received by the mobile phone;
delta represents the number of bits that make up the pixel value;
H' represents the binary total bit number of the mobile phone end abstract value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total operation times of the mobile phone terminal;
in step S101, the method for calculating the connection value of the mobile phone end includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation Representing the received b-th image A b as an image calculation value obtained by using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when i' =1, I 1' represents an image operand Image CalculationA mobile phone end digest value obtained by adopting a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512;
When I ' noteq.1, I i′′＝Summary Function[Ii′-1′],Ii′ ' represents the mobile phone end digest value obtained by adopting one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512 for I i′-1 ';
i '=2, I 2′＝Summary Function[I1' ],
I '=3, I 3′＝Summary Function[I2' ],
I '=4, I 4′＝Summary Function[I3' ],
......,
In the time-course of which the first and second contact surfaces,
The mobile phone end abstract value obtained by the method is connected to obtain the mobile phone end connection value, and the method for obtaining the mobile phone end connection value comprises the following steps:
Wherein, & represents a connector;
representing a mobile phone end connection value;
In step S102, the method for obtaining the restored image thereof includes:
Wherein, Representing mobile phone end connection valueThe value corresponding to the c' bit from left to right;
The ";
Representing a mobile phone end arrangement value corresponding to the c ' th position after all pixel points of the received b ' th fusion image A b′ ' are arranged into a mobile phone end image value;
representing a mobile phone end arrangement value corresponding to the c' th position after all pixel points in the restored image are arranged into a mobile phone end image value;
the method for arranging all the pixel points into the image value of the mobile phone terminal comprises the following steps:
S111, sequentially arranging the pixel points in the received b 'th fused image a b′' from left to right and from top to bottom, where the pixel points are sequentially the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the third pixel point The number of pixels in a pixel is,Representing the total number of pixel points of the received b 'th fusion image A b′';
S112, converting the pixel value corresponding to each pixel point into a binary value, and converting all the binary values obtained by conversion into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the following Sequentially arranging the pixel points to obtain the image values of the mobile phone end of all the pixel points;
In step S101, the method for calculating the total number of pixels in each fused image includes:
Wherein, A width value representing the received b 'th fused image a b′' in cm;
a height value representing the received b 'th fused image a b′' in cm;
Representing the resolution of the received b 'th fused image a b′' in pixels per inch;
a conversion coefficient representing the conversion of the received b 'th fused image a b′' from inches to centimeters;
Representing the total number of pixel points of the received b 'th fusion image A b′';
In step S102, the method for obtaining the mobile phone image operation value of each image by performing image operation on each fusion image includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
A b′ 'represents the received b' th fused image, b '=1, 2,3, a';
Image Calculation Representing the mobile phone end image operation value obtained by the received b 'fused image A b′' by adopting the digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512.
In a preferred embodiment of the present invention, the method of changing the viewing image to a blurred image in step S5 comprises the steps of:
s201, performing image operation on the checked image to obtain a fuzzy image operation value of the checked image;
S202, obtaining image information of the checked image, wherein the image information comprises a width value of the image, a height value of the image and resolution of the image;
s203, performing image operation value obtained in step S201 Performing secondary operation to obtain a fuzzy connection value;
S204, performing fuzzy fusion on the fuzzy connection value obtained in the step S203 and the checked image value to obtain a fuzzy image of the checked image;
In step S201, the method for obtaining the image operation value of the checked image by performing image operation on the checked image is as follows:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
A b ″ represents viewing an image;
Image Calculation Representing the blurred image calculation of the view image A b ″ using the digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512; in step S202, the method for calculating the total number of pixels of the checked image includes:
Wherein, A width value representing the view image a b ″ in centimeters; A height value representing the view image a b ″ in centimeters;
representing the resolution of the viewed image A b ″ in pixels per inch; conversion coefficients representing the conversion of the view image A b '' from inches to centimeters;
representing the total number of pixels of the view image A b';
in step S203, the number of times of blurring operation The calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
representing the total number of pixels of the view image A b';
delta represents the number of bits that make up the pixel value;
H' represents the binary total number of bits of the fuzzy digest value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total number of fuzzy operations;
in step S203, the method for calculating the fuzzy connection value is:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation Representing the blurred image calculation value obtained by looking at the digest function of image A b '' with one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when i "=1, I 1 "represents the blurred image calculation value Image CalculationA fuzzy digest value obtained by using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
When I '' is not equal to 1, I i″″＝Summary Function[Ii″-1″],Ii″ '' represents a fuzzy digest value obtained by using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512 digest functions for I i″-1 '';
i.e., I "=2, I 2″＝Summary Function[I1" ],
I "=3, I 3″＝Summary Function[I2" ],
I "=4, I 4″＝Summary Function[I3" ],
......,
In the time-course of which the first and second contact surfaces,
The method for obtaining the connection value comprises the following steps:
Wherein, & represents a connector;
Representing a connection value;
in step S4, the method for obtaining the blurred fusion image includes:
Wherein, Representing fuzzy connection valuesThe value corresponding to the c' bit from left to right;
The ";
Representing a fuzzy arrangement value corresponding to the c 'th position after all pixel points of the checked image A b' are arranged into a fuzzy image value;
Representing a fuzzy arrangement value corresponding to the c' th position after all pixel points in the fused fuzzy image are arranged into a fuzzy image value;
the method for arranging all the pixels into the blurred image value comprises the following steps:
S381, the pixel points in the view image a b' are sequentially arranged from left to right and from top to bottom, and the pixel points are sequentially 1 st pixel point, 2 nd pixel point, 3 rd pixel point, & gt The number of pixels in a pixel is,Representing the total number of pixels of the view image A b';
S382, converting the pixel value corresponding to each pixel point into a binary value, and converting all the binary values obtained by conversion into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, &.. And sequentially arranging the pixel points to obtain the blurred image values of all the pixel points.
In summary, by adopting the technical scheme, the invention can ensure the safety of massive chat big data pictures, and can blur the checked pictures to prevent privacy information leakage.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
fig. 1 is a schematic block diagram of a flow of the present invention.
Fig. 2 is a schematic structural view of the present invention.
Fig. 3 is a schematic view of the structure of the present invention.
Fig. 4 is a schematic diagram of the circuit connection of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The invention also discloses a method for realizing the safe fusion of the massive big data images, as shown in figure 1, comprising the following steps:
S1, sequentially numbering all image data to be sent to a mobile phone end, wherein A 1、A2、A3、……、Aa is respectively carried out in sequence, wherein A 1 represents a 1 st image to be sent to the mobile phone end, A 2 represents a 2 nd image to be sent to the mobile phone end, A 3 represents A3 rd image to be sent to the mobile phone end, A a represents an a-th image to be sent to the mobile phone end, and a is the total number of all image data to be sent to the mobile phone end;
S2, acquiring image information of each image, wherein the image information comprises a width value of the image, a height value of the image and resolution of the image;
s3, performing image operation value obtained in the step S1 Performing secondary operation to obtain a connection value;
S4, fusing the connection value obtained in the step S3 with the image value to obtain a fused image thereof, wherein a set formed by all the fused images and the corresponding image operation values is an image set to be transmitted;
And S5, if the controller receives the image data to be checked and receives the continuous checking trigger signal, performing image restoration processing on the image data to be checked to obtain a checked image, and if the continuous checking trigger signal is interrupted or after Ts is obtained, T is a positive number, S is a time unit of seconds, and the checked image becomes a blurred image.
In a preferred embodiment of the present invention, in step S1, the method for obtaining the image calculation value of each image by performing the image calculation on each image comprises:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
a b represents an b-th image to be transmitted to the handset side, b=1, 2, 3.
Image CalculationThe b-th image A b to be sent to the mobile phone end adopts the image operation value obtained by the digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512.
In a preferred embodiment of the present invention, in step S2, the method for calculating the total number of pixels in each image is as follows:
Wherein, The width value of the b-th image A b to be sent to the mobile phone end is expressed in centimeters;
The height value of the b-th image A b to be sent to the mobile phone end is expressed in centimeters;
The resolution of the b-th image A b to be sent to the handset end is expressed in pixels per inch;
a conversion coefficient indicating that a b-th image A b to be transmitted to a mobile phone end is converted from inches to centimeters;
And the total number of pixel points of the b-th image A b to be sent to the mobile phone end is represented.
In a preferred embodiment of the present invention, in step S3, the number of operations is countedThe calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
Representing the total number of pixel points of the b-th image A b to be sent to the mobile phone terminal;
delta represents the number of bits that make up the pixel value;
H represents the binary total number of bits of the digest value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total number of operations.
In a preferred embodiment of the present invention, in step S3, the connection value calculating method includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation the b-th image A b to be sent to the mobile phone end adopts the abstract function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512 to obtain the image operation value;
When i=1, the number of the cells, I 1 represents an image operand Image CalculationDigest values obtained using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when I is not equal to 1, I i＝Summary Function[Ii-1],Ii represents the digest value obtained by using one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512 for I i-1;
i.e., i=2, I 2＝Summary Function[I1,
I=3, I 3＝Summary Function[I2,
I=4, I 4＝Summary Function[I3,
......,
In the time-course of which the first and second contact surfaces,
The method for obtaining the connection value comprises the following steps:
Wherein, & represents a connector;
Representing the connection value.
In a preferred embodiment of the present invention, in step S4, the method for obtaining the fused image thereof is as follows:
Wherein, Representing connection valuesThe value corresponding to the c bit from left to right;
The ";
Representing an arrangement value corresponding to the c-th position after all pixel points of the b-th image A b to be sent to the mobile phone end are arranged into image values;
And representing the arrangement value corresponding to the c-th position after all the pixel points in the fused image are arranged into the image value.
In a preferred embodiment of the present invention, the method of arranging all the pixels thereof into image values comprises the steps of:
S81, sequentially arranging the pixel points in the b-th image a b to be sent to the mobile phone end from left to right and from top to bottom, wherein the pixel points are sequentially 1 st pixel point, 2 nd pixel point, 3 rd pixel point, and third pixel point The number of pixels in a pixel is,Representing the total number of pixels of the received b-th image A b;
S82, converting the pixel value corresponding to each pixel point into a binary value, and converting all the converted binary values into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the following And sequentially arranging the pixel points to obtain the image values of all the pixel points.
In a preferred embodiment of the present invention, the method of obtaining a viewing image in step S5 comprises the steps of:
S101, performing image operation value Performing secondary operation to obtain a mobile phone end connection value;
S102, restoring the obtained mobile phone end connection value and the image value in the fused image to obtain a restored image thereof, wherein if the mobile phone end image operation value is consistent with the image operation value, the restored image is the checked image;
in step 101, the number of operations is counted at the mobile phone end The calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
representing the total number of pixel points of the b 'fused image A b′' received by the mobile phone;
delta represents the number of bits that make up the pixel value;
H' represents the binary total bit number of the mobile phone end abstract value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total operation times of the mobile phone terminal;
in step S101, the method for calculating the connection value of the mobile phone end includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation Representing the received b-th image A b as an image calculation value obtained by using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when i' =1, I 1' represents an image operand Image CalculationA mobile phone end digest value obtained by adopting a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512;
When I ' noteq.1, I i′′＝Summary Function[Ii′-1′],Ii′ ' represents the mobile phone end digest value obtained by adopting one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512 for I i′-1 ';
i '=2, I 2′＝Summary Function[I1' ],
I '=3, I 3′＝Summary Function[I2' ],
I '=4, I 4′＝Summary Function[I3' ],
......,
In the time-course of which the first and second contact surfaces,
The mobile phone end abstract value obtained by the method is connected to obtain the mobile phone end connection value, and the method for obtaining the mobile phone end connection value comprises the following steps:
Wherein, & represents a connector;
representing a mobile phone end connection value;
In step S102, the method for obtaining the restored image thereof includes:
Wherein, Representing mobile phone end connection valueThe value corresponding to the c' bit from left to right;
The ";
Representing a mobile phone end arrangement value corresponding to the c ' th position after all pixel points of the received b ' th fusion image A b′ ' are arranged into a mobile phone end image value;
representing a mobile phone end arrangement value corresponding to the c' th position after all pixel points in the restored image are arranged into a mobile phone end image value;
the method for arranging all the pixel points into the image value of the mobile phone terminal comprises the following steps:
S111, sequentially arranging the pixel points in the received b 'th fused image a b′' from left to right and from top to bottom, where the pixel points are sequentially the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the third pixel point The number of pixels in a pixel is,Representing the total number of pixel points of the received b 'th fusion image A b′';
S112, converting the pixel value corresponding to each pixel point into a binary value, and converting all the binary values obtained by conversion into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, the following Sequentially arranging the pixel points to obtain the image values of the mobile phone end of all the pixel points;
In step S101, the method for calculating the total number of pixels in each fused image includes:
Wherein, A width value representing the received b 'th fused image a b′' in cm;
a height value representing the received b 'th fused image a b′' in cm;
Representing the resolution of the received b 'th fused image a b′' in pixels per inch;
a conversion coefficient representing the conversion of the received b 'th fused image a b′' from inches to centimeters;
Representing the total number of pixel points of the received b 'th fusion image A b′';
In step S102, the method for obtaining the mobile phone image operation value of each image by performing image operation on each fusion image includes:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
A b′ 'represents the received b' th fused image, b '=1, 2,3, a';
Image Calculation Representing the mobile phone end image operation value obtained by the received b 'fused image A b′' by adopting the digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512.
In a preferred embodiment of the present invention, the method of changing the viewing image to a blurred image in step S5 comprises the steps of:
s201, performing image operation on the checked image to obtain a fuzzy image operation value of the checked image;
S202, obtaining image information of the checked image, wherein the image information comprises a width value of the image, a height value of the image and resolution of the image;
s203, performing image operation value obtained in step S201 Performing secondary operation to obtain a fuzzy connection value;
S204, performing fuzzy fusion on the fuzzy connection value obtained in the step S203 and the checked image value to obtain a fuzzy image of the checked image;
In step S201, the method for obtaining the image operation value of the checked image by performing image operation on the checked image is as follows:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
A b ″ represents viewing an image;
Image Calculation Representing the blurred image calculation value obtained by looking at the digest function of image A b '' with one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
In step S202, the method for calculating the total number of pixels of the checked image includes:
Wherein, A width value representing the view image a b ″ in centimeters;
A height value representing the view image a b ″ in centimeters;
representing the resolution of the viewed image A b ″ in pixels per inch;
conversion coefficients representing the conversion of the view image A b '' from inches to centimeters;
representing the total number of pixels of the view image A b';
in step S203, the number of times of blurring operation The calculation method of (1) is as follows:
Wherein int () represents a rounding algorithm;
representing the total number of pixels of the view image A b';
delta represents the number of bits that make up the pixel value;
H' represents the binary total number of bits of the fuzzy digest value;
E represents belonging to;
Z + represents a positive integer set;
the representation does not belong;
representing the total number of fuzzy operations;
in step S203, the method for calculating the fuzzy connection value is:
wherein, summary Function [ ] represents a digest Function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
Image Calculation Representing the blurred image calculation value obtained by looking at the digest function of image A b '' with one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
when i "=1, I 1 "represents the blurred image calculation value Image CalculationA fuzzy digest value obtained by using a digest function of one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512;
When I '' is not equal to 1, I i″″＝Summary Function[Ii″-1″],Ii″ '' represents a fuzzy digest value obtained by using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, SHA-512 digest functions for I i″-1 '';
i.e., I "=2, I 2″＝Summary Function[I1" ],
I "=3, I 3″＝Summary Function[I2" ],
I "=4, I 4″＝Summary Function[I3" ],
......,
In the time-course of which the first and second contact surfaces,
The method for obtaining the connection value comprises the following steps:
Wherein, & represents a connector;
Representing a connection value;
in step S4, the method for obtaining the blurred fusion image includes:
Wherein, Representing fuzzy connection valuesThe value corresponding to the c' bit from left to right;
The ";
Representing a fuzzy arrangement value corresponding to the c 'th position after all pixel points of the checked image A b' are arranged into a fuzzy image value;
Representing a fuzzy arrangement value corresponding to the c' th position after all pixel points in the fused fuzzy image are arranged into a fuzzy image value;
the method for arranging all the pixels into the blurred image value comprises the following steps:
S381, the pixel points in the view image a b' are sequentially arranged from left to right and from top to bottom, and the pixel points are sequentially 1 st pixel point, 2 nd pixel point, 3 rd pixel point, & gt The number of pixels in a pixel is,Representing the total number of pixels of the view image A b';
S382, converting the pixel value corresponding to each pixel point into a binary value, and converting all the binary values obtained by conversion into the binary values according to the 1 st pixel point, the 2 nd pixel point, the 3 rd pixel point, &.. And sequentially arranging the pixel points to obtain the blurred image values of all the pixel points.
The invention provides identification equipment for realizing a safe fusion method of massive large data images, which is shown in fig. 2-3, and comprises a mobile phone body 2, wherein a touch display screen 3 is arranged on the front surface of the mobile phone body 2, a PCB (printed circuit board) fixed mounting seat which is arranged in the mobile phone body and used for fixedly mounting a PCB (printed circuit board) is also included, the PCB is fixedly mounted on the PCB fixed mounting seat, a controller and a wireless transmission data module are arranged on the PCB, a data transmission end of the wireless transmission data module is connected with a data transmission end of the controller, a touch display data end of the touch display screen 3 is connected with a touch display end of the controller, and in the embodiment, a front camera 1 is arranged on the front surface of the mobile phone body 2, a rear camera 4 is arranged on the rear surface of the mobile phone body 2, an image data end of the front camera 1 is connected with a front data end of the controller, and an image data end of the rear camera 4 is connected with a rear data end of the controller.
And after the checked image is obtained, if the continuous checking trigger signal is interrupted or Ts is followed, T is a positive number, s is a time unit second, and the checked image becomes a blurred image.
In a preferred embodiment of the present invention, the wireless transmission data module includes one or any combination of a short range wireless transmission data module, a medium range wireless transmission data module, and a long range wireless transmission data module;
The data transmission end of the short-range wireless transmission data module is connected with the short-range data transmission end of the controller, the data transmission end of the medium-range wireless transmission data module is connected with the medium-range data transmission end of the controller, and the data transmission end of the long-range wireless transmission data module is connected with the long-range data transmission end of the controller;
The short-range wireless transmission data module comprises one or any combination of a Bluetooth short-range wireless transmission data module, a WiFi short-range wireless transmission data module, an Rfid short-range wireless transmission data module and a Zigbee short-range wireless transmission data module, wherein the data transmission end of the Bluetooth short-range wireless transmission data module is connected with the Bluetooth short-range data transmission end of the controller, the data transmission end of the WiFi short-range wireless transmission data module is connected with the WiFi short-range data transmission end of the controller, the data transmission end of the Rfid short-range wireless transmission data module is connected with the Rfid short-range data transmission end of the controller, and the data transmission end of the Zigbee short-range wireless transmission data module is connected with the Zigbee short-range data transmission end of the controller;
The data transmission end of the 3G medium-range wireless transmission data module is connected with the 3G medium-range data transmission end of the controller, and the data transmission end of the 5G medium-range wireless transmission data module is connected with the 5G medium-range data transmission end of the controller;
The remote wireless transmission data module comprises a Lora remote wireless transmission data module or/and a 2G remote wireless transmission data module, wherein the data transmission end of the Lora remote wireless transmission data module is connected with the Lora remote data transmission end of the controller, and the data transmission end of the 2G remote wireless transmission data module is connected with the 2G remote data transmission end of the controller.
In a preferred embodiment of the present invention, the system further comprises a front camera or/and a rear camera monitoring module, wherein the front camera or/and the rear camera monitoring module comprises a monitoring signal front unit, a monitoring signal enhancing unit and a monitoring signal stabilizing unit;
The signal input end of the monitoring signal preposition unit is connected with the signal output end of the preposition camera or the postposition camera, the signal output end of the monitoring signal preposition unit is connected with the signal input end of the monitoring signal enhancement unit, the signal output end of the monitoring signal enhancement unit is connected with the signal input end of the monitoring signal stabilization unit, and the signal output end of the monitoring signal stabilization unit is connected with the preposition or postposition monitoring end of the controller;
The monitoring signal front-end unit comprises an N-channel enhancement type field effect transistor Q1, a first end of a resistor R1 and a signal output end of a front camera or a rear camera, wherein a grid electrode of the N-channel enhancement type field effect transistor Q1 is connected with a first end of a resistor R1 and a signal output end of the front camera or the rear camera respectively, a drain electrode of the N-channel enhancement type field effect transistor Q1 is connected with a first end of an inductor L1, a second end of the inductor L1 is connected with a +5V power supply, a source electrode of the N-channel enhancement type field effect transistor Q1 is connected with a first end of a resistor R2 and a first end of a capacitor C1 and a first end of a capacitor C2 respectively, a second end of the resistor R1 and a second end of the resistor R2 are connected with power supply ground respectively, a first end of the capacitor C2 is connected with a signal input end of the monitoring signal enhancement unit, the N-channel enhancement type field effect transistor Q1 amplifies and outputs monitoring signals, the capacitor C1 and the inductor L1 form LC filtering in the amplifying process of the N-channel enhancement type field effect transistor Q1, the LC filtering principle is utilized to filter the monitoring signals, the accuracy of monitoring signals is effectively reduced, and the external noise is effectively improved.
The monitoring signal enhancement unit comprises a first end of a resistor R4, a first end of a resistor R5 and a first end of a resistor R6, wherein the first end of the resistor R5 and the first end of the resistor R6 are respectively connected with a signal output end of a monitoring signal pre-unit, a second end of the resistor R6 is connected with a positive input end of an amplifier AR1, an inverting input end of the amplifier AR1 is respectively connected with an output end of the amplifier AR1 and a first end of an adjustable resistor RP1, a second end of the adjustable resistor RP1 is respectively connected with a first end of a capacitor C4 and a power ground, a second end of the adjustable resistor RP1 and a second end of the capacitor C4 are respectively connected with a positive input end of the amplifier AR2, a second end of the resistor R4 is connected with a collector of an NPN triode VT1, a second end of the resistor R5 is connected with a base of the NPN triode VT1 and a negative electrode of a diode DZ1, an emitter of the NPN triode VT1 is respectively connected with the first end of the amplifier AR2 and the inverting input end of the amplifier AR2, a power supply end of the amplifier AR2 is respectively connected with +5V, the power supply end of the amplifier AR2 is weakened, the signal of the amplifier AR2 is also connected with the monitoring signal pre-unit and the monitoring signal pre-unit is amplified by the signal pre-unit after the monitoring signal pre-unit is arranged or the signal pre-unit is amplified by the monitoring unit, the signal pre-end of the signal pre-stage is amplified by the signal pre-stage unit, and the signal of the signal pre-stage is amplified by the signal pre-stage and the signal pre-stage unit is amplified by the pre-stage and the signal conditioning and the pre-stage and the signal were signal and the pre-stage and the signal were.
The monitoring signal stabilizing unit comprises a first end of a resistor R7 connected with a signal output end of the monitoring signal enhancing unit, a second end of the resistor R7 connected with a first end of a capacitor C5 and a positive-phase input end of an amplifier AR3 respectively, a second end of the capacitor C5 connected with power ground, a power end of the amplifier AR3 connected with a +5V power supply, a power ground end of the amplifier AR3 connected with power ground, an inverting input end of the amplifier AR3 connected with a first end of a resistor R8, an output end of the amplifier AR3 connected with a second end of the resistor R8 respectively connected with a first end of a resistor R9, a second end of the resistor R9 connected with a negative electrode of a diode DZ2 and a front or rear monitoring end of a controller respectively, and a positive electrode of the diode DZ2 connected with power ground. The capacitor C5 and the resistor R7 form RC low-pass filtering, the signals output by the amplifier AR2 are processed and then transmitted to the amplifier AR3, the amplifier AR3 converts and outputs the signals by utilizing an amplification principle, so that the monitoring signal output value is suitable for the potential value received by the controller, and the diode DZ2 has a protection effect when the monitoring signal is input to the controller.
The front-end camera or/and the rear-end camera monitoring module are specifically and electrically connected as shown in fig. 4, the grid electrode of the N-channel enhanced field effect transistor Q1 is respectively connected with the first end of the resistor R1 and the signal output end of the front-end camera or the rear-end camera, the drain electrode of the N-channel enhanced field effect transistor Q1 is respectively connected with the first end of the inductor L1, the second end of the inductor L1 is connected with a +5V power supply, the source electrode of the N-channel enhanced field effect transistor Q1 is respectively connected with the first end of the resistor R2, the first end of the capacitor C1 and the first end of the capacitor C2, the second end of the resistor R1 and the second end of the capacitor C1 are respectively connected with power supply ground, the first end of the capacitor C2 is respectively connected with the first end of the resistor R4, the first end of the resistor R5 and the first end of the resistor R6, the second end of the resistor R6 is connected with the positive input end of the amplifier AR1, the inverting end of the amplifier AR1 is respectively connected with the first end of the adjustable resistor RP1 and the second end of the adjustable resistor RP1 is respectively connected with the first end of the adjustable resistor RP1 and the adjustable resistor C4 is connected with the first end of the adjustable resistor C4; the second end of the resistor R4 is connected with the collector of the NPN triode VT1, the second end of the resistor R5 is connected with the base of the NPN triode VT1 and the cathode of the diode DZ1, the diode DZ1 is connected with the power supply ground, the emitter of the NPN triode VT1 is respectively connected with the first end of the capacitor C3 and the inverting input end of the amplifier AR2, the power supply end of the amplifier AR2 is connected with the +5V power supply, the power supply ground end of the amplifier AR2 is connected with the power supply ground, the second end of the capacitor C3 and the output end of the amplifier AR2 are respectively connected with the first end of the resistor R7, the second end of the resistor R7 is connected with the first end of the capacitor C5 and the positive input end of the amplifier AR3 respectively, the second end of the capacitor C5 is connected with the power ground, the power end of the amplifier AR3 is connected with the +5V power supply, the power ground end of the amplifier AR3 is connected with the power ground, the reverse input end of the amplifier AR3 is connected with the first end of the resistor R8, the output end of the amplifier AR3 is connected with the second end of the resistor R8 respectively with the first end of the resistor R9, the second end of the resistor R9 is connected with the negative electrode of the diode DZ2 and the front or rear monitoring end of the controller respectively, and the positive electrode of the diode DZ2 is connected with the power ground.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.

Claims (10)

1.一种实现海量大数据图像安全融合方法，其特征在于，包括以下步骤：1. A method for realizing the secure fusion of massive data images, characterized by comprising the following steps: S1，对所有待发送至手机端的图像数据进行顺序编号，对每张图像进行图像运算，得到每张图像的图像运算值；S1, sequentially number all image data to be sent to the mobile phone, perform image operation on each image, and obtain the image operation value of each image; S2，获取每张图像的图像信息，计算每张图像的像素点总个数；S2, obtaining image information of each image and calculating the total number of pixels of each image; S3，对步骤S1中得到的图像运算值进行GAb次运算，得到其连接值；S3, performing G Ab operations on the image operation value obtained in step S1 to obtain its connection value; S4，将步骤S3中得到的连接值与图像值进行融合，得到其融合图像。S4, fusing the connection value obtained in step S3 with the image value to obtain a fused image. 2.根据权利要求1所述的实现海量大数据图像安全融合方法，其特征在于，在步骤S1中，对每张图像进行图像运算，得到每张图像的图像运算值的方法为：2. The method for realizing the secure fusion of massive data images according to claim 1 is characterized in that, in step S1, image operation is performed on each image to obtain the image operation value of each image by: Image Calculation ValueAb＝Summary Function[Ab]，Image Calculation Value Ab =Summary Function[A b ], 其中，Summary Function[]表示采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数；Wherein, Summary Function[] represents a summary function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512; Ab表示待发送至手机端的第b图像；b＝1、2、3、……、a；A b represents the bth image to be sent to the mobile phone; b = 1, 2, 3, ..., a; Image Calculation ValueAb表示待发送至手机端的第b图像Ab采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数得到的图像运算值。Image Calculation Value Ab represents the image calculation value obtained by using one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512 for the bth image A b to be sent to the mobile phone. 3.根据权利要求1所述的实现海量大数据图像安全融合方法，其特征在于，在步骤S2中，每张图像的像素点总个数的计算方法为：3. The method for realizing secure fusion of massive data images according to claim 1 is characterized in that, in step S2, the total number of pixels of each image is calculated as follows: 其中，CAb表示待发送至手机端的第b图像Ab的宽度值，其单位为厘米；Wherein, C Ab represents the width value of the bth image A b to be sent to the mobile phone, and its unit is centimeter; DAb表示待发送至手机端的第b图像Ab的高度值，其单位为厘米；D Ab represents the height value of the bth image A b to be sent to the mobile phone, and its unit is centimeter; EAb表示待发送至手机端的第b图像Ab的分辨率，其单位为像素每英寸；E Ab represents the resolution of the bth image A b to be sent to the mobile phone, and its unit is pixels per inch; FAb表示待发送至手机端的第b图像Ab由英寸转换为厘米的转换系数；F Ab represents the conversion coefficient of the bth image A b to be sent to the mobile phone from inches to centimeters; BAb表示待发送至手机端的第b图像Ab的像素点总个数。B Ab represents the total number of pixels of the b-th image A b to be sent to the mobile phone. 4.根据权利要求1所述的实现海量大数据图像安全融合方法，其特征在于，在步骤S3中，运算次数的计算方法为：4. The method for realizing the secure fusion of massive data images according to claim 1, characterized in that in step S3, the number of operations is The calculation method is: 其中，int()表示取整算法；Among them, int() represents the rounding algorithm; 表示待发送至手机端的第b图像Ab的像素点总个数； Indicates the total number of pixels of the bth image A b to be sent to the mobile phone; δ表示组成像素值的位数；δ represents the number of bits that make up the pixel value; H表示摘要值的二进制总位数；H represents the total number of binary digits of the summary value; ∈表示属于；∈ means belongs to; Z+表示正整数集合；Z + represents the set of positive integers; 表示不属于； Indicates not belonging to; 表示运算总次数。 Indicates the total number of operations. 5.根据权利要求1所述的实现海量大数据图像安全融合方法，其特征在于，在步骤S3中，连接值的计算方法为：5. The method for realizing the secure fusion of massive data images according to claim 1 is characterized in that, in step S3, the connection value is calculated by: 其中，Summary Function[]表示采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数；Wherein, Summary Function[] represents a summary function using one of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512; Image Calculation ValueAb表示待发送至手机端的第b图像Ab采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数得到的图像运算值；Image Calculation Value Ab represents the image calculation value obtained by using one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512 for the b-th image A b to be sent to the mobile phone; 当i＝1时，I1＝Summary Function[Image Calculation ValueAb]；I1表示图像运算值Image Calculation采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数得到的摘要值；When i = 1, I 1 = Summary Function [Image Calculation Value Ab ]; I 1 represents the image calculation value Image Calculation A digest value obtained by using one of the digest functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512; 当i≠1时，Ii＝Summary Function[Ii-1]，Ii表示对Ii-1采用MD4、MD5、SHA-1、SHA-224、SHA-256、SHA-384、SHA-512之一的摘要函数得到的摘要值；When i≠1, I i =Summary Function[I i-1 ], where I i represents a summary value obtained by applying one of the summary functions of MD4, MD5, SHA-1, SHA-224, SHA-256, SHA-384, and SHA-512 to I i-1 ; 即i＝2时，I2＝Summary Function[I1]，That is, when i=2, I 2 =Summary Function[I 1 ], i＝3时，I3＝Summary Function[I2]，When i=3, I 3 =Summary Function [I 2 ], i＝4时，I4＝Summary Function[I3]，When i=4, I 4 =Summary Function [I 3 ], ……，..., 时， hour, 将其得到的摘要值连接起来，得到其连接值；其得到连接值的方法为：Connect the obtained summary values to obtain the connection value; the method for obtaining the connection value is: 其中，&表示连接符；Among them, & represents a connector; 表示连接值。 Indicates the connection value. 6.根据权利要求1所述的实现海量大数据图像安全融合方法，其特征在于，在步骤S4中，得到其融合图像的方法为：6. The method for realizing the secure fusion of massive data images according to claim 1 is characterized in that, in step S4, the method for obtaining the fused image is: 其中，表示连接值中从左至右第c位所对应的值；in, Indicates the connection value The value corresponding to the cth position from left to right in; ⊙表示同或计算；⊙ indicates same or calculation; 表示待发送至手机端的第b图像Ab中将其所有像素点排列成图像值后第c位所对应的排列值； Indicates the arrangement value corresponding to the cth position after all pixels of the bth image A b to be sent to the mobile phone are arranged into image values; 表示融合后图像中所有像素点排列成图像值后第c位所对应的排列值。 It indicates the arrangement value corresponding to the cth position after all pixels in the fused image are arranged into image values. 7.根据权利要求6所述的实现海量大数据图像安全融合方法，其特征在于，将其所有像素点排列成图像值的方法包括以下步骤：7. The method for realizing the secure fusion of massive data images according to claim 6 is characterized in that the method of arranging all the pixels into image values comprises the following steps: S81，将待发送至手机端的第b图像Ab中的像素点从左至右，从上至下依次排列，依次为第1像素点、第2像素点、第3像素点、……、第BAb像素点，BAb表示接收到的第b图像Ab的像素点总个数；S81, arranging the pixels in the b-th image A b to be sent to the mobile phone from left to right and from top to bottom in order as the first pixel, the second pixel, the third pixel, ..., the B Ab pixel, where B Ab represents the total number of pixels of the b-th image A b received; S82，将每个像素点所对应的像素值转换为二进制数值，将所有转换得到的二进制数值按照第1像素点、第2像素点、第3像素点、……、第BAb像素点的顺序排列，得到其所有像素点的图像值。S82, convert the pixel value corresponding to each pixel point into a binary value, arrange all the converted binary values in the order of the 1st pixel point, the 2nd pixel point, the 3rd pixel point, ..., the Bth pixel point, to obtain the image values of all the pixel points. 8.一种实现海量大数据图像安全融合的识别设备，包括手机本体，其特征在于，在手机本体正面设置有触摸显示屏，还包括设置在手机本体内用于固定安装PCB印刷电路板的PCB印刷电路板固定安装座，PCB印刷电路板固定安装在PCB印刷电路板固定安装座上，在PCB印刷电路板上设置有控制器和无线传输数据模块，无线传输数据模块的数据传输端与控制器的数据传输端相连，触摸显示屏的触摸显示数据端与控制器的触摸显示端相连。8. An identification device for realizing the secure fusion of massive big data images, comprising a mobile phone body, characterized in that a touch display screen is arranged on the front of the mobile phone body, and also comprising a PCB printed circuit board fixing mounting seat arranged in the mobile phone body for fixing the PCB printed circuit board, the PCB printed circuit board is fixedly mounted on the PCB printed circuit board fixing mounting seat, a controller and a wireless transmission data module are arranged on the PCB printed circuit board, the data transmission end of the wireless transmission data module is connected to the data transmission end of the controller, and the touch display data end of the touch display screen is connected to the touch display end of the controller. 9.根据权利要求8所述的实现海量大数据图像安全融合的识别设备，其特征在于，无线传输数据模块包括短程无线传输数据模块、中程无线传输数据模块和远程无线传输数据模块之一或者任意组合。9. The identification device for realizing the secure fusion of massive big data images according to claim 8 is characterized in that the wireless transmission data module includes one or any combination of a short-range wireless transmission data module, a medium-range wireless transmission data module and a long-range wireless transmission data module. 10.根据权利要求8所述的实现海量大数据图像安全融合的识别设备，其特征在于，还包括在手机本体正面设置有前置摄像头以及在手机本体背面设置有后置摄像头，前置摄像头的图像数据端与控制器的前置数据端相连，后置摄像头的图像数据端与控制器的后置数据端相连。10. According to claim 8, the identification device for realizing the safe fusion of massive big data images is characterized in that it also includes a front camera arranged on the front of the mobile phone body and a rear camera arranged on the back of the mobile phone body, the image data end of the front camera is connected to the front data end of the controller, and the image data end of the rear camera is connected to the rear data end of the controller.
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