CN114143410B - Electric power monitoring image encryption transmission method based on Internet of things - Google Patents
Electric power monitoring image encryption transmission method based on Internet of things Download PDFInfo
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- CN114143410B CN114143410B CN202111353509.0A CN202111353509A CN114143410B CN 114143410 B CN114143410 B CN 114143410B CN 202111353509 A CN202111353509 A CN 202111353509A CN 114143410 B CN114143410 B CN 114143410B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
- H04N1/32149—Methods relating to embedding, encoding, decoding, detection or retrieval operations
- H04N1/32267—Methods relating to embedding, encoding, decoding, detection or retrieval operations combined with processing of the image
- H04N1/32272—Encryption or ciphering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/44—Secrecy systems
- H04N1/448—Rendering the image unintelligible, e.g. scrambling
- H04N1/4486—Rendering the image unintelligible, e.g. scrambling using digital data encryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
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- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses an electric power monitoring image encryption transmission method based on the Internet of things, which comprises the steps of separating the foreground and the background of a video frame, encrypting a foreground area, utilizing an encrypted training frame to help conceal contour information, introducing an image key into an improved monitoring video encryption algorithm besides using a digital key, and ensuring the encryption safety by improving the encryption algorithm. The invention makes full use of the characteristics of the monitoring video shot by the still camera, constructs the electric power monitoring image encryption transmission system based on the Internet of things, and has good performances in the aspects of electric power monitoring image processing, image encryption, image transmission and the like.
Description
Technical Field
The invention relates to an electric power monitoring image encryption transmission method based on the Internet of things.
Background
With the construction of smart power grids, the power grids in China are developing to large-scale, large-capacity, high-voltage level, informatization, intellectualization and the like. The online monitoring system mainly comprises a sensor, a communication network, a server and a database. It can monitor all links of the transmission line in real time and recognize and diagnose faults in time. The special natural environment of the high-voltage transmission line enables the traditional online monitoring system to focus on monitoring of single parameters such as temperature, humidity and the like. The transmitted monitoring data quantity is small, and the requirement of on-line patrol is far from being met. Therefore, there is an urgent need to introduce a practically effective means to expand the functionality of the online monitoring system to make it more intelligent.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an electric power monitoring image encryption transmission method based on the Internet of things, and an image encryption transmission method capable of being used for electric power monitoring is constructed by combining the Internet of things technology, so that an intelligent electric power system monitoring system based on the Internet of things is obtained, related data is encrypted, and the electric power monitoring image encryption transmission method has good performances in the aspects of electric power monitoring image processing, image encryption, image transmission and the like.
The aim of the invention is achieved by the following technical scheme:
the electric power monitoring image encryption transmission method based on the Internet of things is characterized in that firstly, the foreground and the background of a video frame are separated, then the foreground area is encrypted, the encrypted training frame is utilized to help conceal contour information, and finally, an image key is introduced into an improved monitoring video encryption algorithm except for a digital key, so that the encryption security is ensured by improving the encryption algorithm. The method comprises the following specific steps:
step one, combining the image variance with the absolute gradient mean to obtain a weight coefficient, and smoothing pixels around the edge by adopting a multiple decomposition form.
Secondly, encrypting the foreground region of the image by using a single-quantum bit gate circuit;
the single qubit gate I unitary gate used does not change the state of the qubit, and its model is as follows:
in the above equation, "| >" is referred to as a dirac symbol, also referred to as a right vector, which represents a column vector. "<|" is the dual vector of the right vector, called the left vector, which represents a row vector, also the conjugate conversion of the right vector. The matrix of two ground states of 0> and 1> is:
the matrix of <0| and <1| is:
<0|＝[1 0],<1|＝[0 1]
and step three, after the foreground region information is encrypted, the foreground contour information still exists. The encrypted training framework is then utilized to help conceal the profile information. Since the number of training frames selected is much smaller than the number of video frames, a one-to-one correspondence between the two is not possible. Therefore, a sequence must be specified for the training frame so that the foreground of the training frame can be used to hide the contour information in the sequence;
encrypting the background image by using the background coverage coefficient, calculating a digital key, randomly selecting a picture, and constructing the picture into a required image key;
and fifthly, encrypting the foreground image, and storing the digital key and the image key.
The beneficial effects are that: the present invention is different from the common video encryption method, and fully digs the characteristics of the monitoring video shot by the static camera and separates the foreground and the background of the video frame. In addition, it only encrypts the foreground area, reduces the video encryption rate, greatly increases the encryption speed, and ensures the encryption security by improving the encryption algorithm.
Drawings
FIG. 1 is a flow chart of an encryption method of the present invention;
FIG. 2 is a statistical graph of the image encryption transmission effect;
Detailed Description
The technical scheme of the invention is further described in detail below with reference to the accompanying drawings:
as shown in fig. 1, the implementation of the electric power monitoring image encryption transmission technology based on the internet of things comprises the following steps:
step one, combining the image variance with the absolute gradient mean to obtain a weight coefficient, and smoothing pixels around the edge by adopting a multiple decomposition form.
Secondly, encrypting the foreground region of the image by using a single-quantum bit gate circuit;
the single qubit gate I unitary gate used does not change the state of the qubit, and its model is as follows:
in the above equation, "| >" is referred to as a dirac symbol, also referred to as a right vector, which represents a column vector. "<|" is the dual vector of the right vector, called the left vector, which represents a row vector, also the conjugate conversion of the right vector. The matrix of two ground states of 0> and 1> is:
the matrix of <0| and <1| is:
<0|＝[1 0],<1|＝[0 1]。
and step three, after the foreground region information is encrypted, the foreground contour information still exists. The encrypted training framework is then utilized to help conceal the profile information. Since the number of training frames selected is much smaller than the number of video frames, a one-to-one correspondence between the two is not possible. Therefore, a sequence must be specified for the training frame so that the foreground of the training frame can be used to hide the contour information in the sequence;
encrypting the background image by using the background coverage coefficient, calculating a digital key, randomly selecting a picture, and constructing the picture into a required image key;
and fifthly, encrypting the foreground image, and storing the digital key and the image key.
To further illustrate the method, the following simulations and experiments were performed. After the electric power monitoring image encryption transmission system based on the Internet of things is constructed, the electric power monitoring image processing effect, the image encryption effect and the image transmission effect of the system are detected by collecting images on site. The results obtained are shown in Table 1 and FIG. 2. Table 1 is performance parameters of an internet of things-based power monitoring image encryption transmission system.
Table 1 performance parameters of internet of things based power monitoring image encryption transmission system
According to simulation results, the electric power monitoring image encryption transmission system based on the Internet of things has good performances in the aspects of electric power monitoring image processing, image encryption, image transmission and the like. Therefore, the method provided by the invention has good practical effect.
Claims (1)
1. The electric power monitoring image encryption transmission method based on the Internet of things is characterized by comprising the following specific steps of:
combining the image variance with the absolute gradient mean value to obtain a weight coefficient, and smoothing pixels around the edge by adopting a multiple decomposition form to realize separation of the image foreground and the background;
secondly, encrypting the foreground region of the image by using a single-quantum bit gate circuit;
step three, after the foreground region information is encrypted, foreground contour information still exists; utilizing an encrypted training framework to help conceal profile information; since the number of selected training frames is far less than the number of video frames, a one-to-one correspondence between the two is not possible; thus, a sequence is assigned to the training frame such that the foreground of the training frame is used to conceal the contour information in the sequence;
encrypting the background image by using the background coverage coefficient, calculating a digital key, randomly selecting a picture, and constructing the picture into a required image key;
step five, the encryption of the foreground image is completed, and the digital key and the image key are saved, so that the image encryption transmission is realized;
the second step is as follows:
the single qubit gate I unitary gate used does not change the state of the qubit, and its model is as follows:
in the above equation, "| >" is referred to as a dirac symbol, also referred to as a right vector, which represents a column vector; "<|" is the dual vector of the right vector, called the left vector, which represents a row vector, also the conjugate conversion of the right vector; the matrix of two ground states of 0> and 1> is:
the matrix of <0| and <1| is:
<0|＝[1 0],<1|＝[0 1]。
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