CN113793196A - Electricity doctor sells electricity management system based on cloud calculates - Google Patents
Electricity doctor sells electricity management system based on cloud calculates Download PDFInfo
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Abstract
The invention provides an e-doctor electricity selling management system based on cloud computing, which comprises a login verification module, an order information input module, a cloud computing module and an order management module, wherein the login verification module is used for storing order information; the login verification module is used for verifying the identity of a person using the input module and the order management module in a face recognition mode; the input module is used for inputting order information of power sale through a person with identity authentication and transmitting the order information to the cloud computing module; the cloud computing module is used for storing the order information; the order management module is used for managing the order information stored in the cloud computing module. The invention is beneficial to improving the data security of the electricity selling management system. The invention realizes flexible management of the order information of the power selling.
Description
Technical Field
The invention relates to the field of electricity selling management, in particular to an electricity doctor electricity selling management system based on cloud computing.
Background
Electricity sales refer to selling electricity as commodities. The spot transaction and the contract transaction can be divided according to the length of the transaction time. In order to facilitate uniform management of sales data of electric power, trade orders are generally input to a specially developed management system for management. However, the existing management system generally adopts an account and a password as a login verification method, and the login method is easy to cause data leakage of the electricity selling management system due to leakage of the account and the password.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a cloud computing-based electricity-selling management system for an e-doctor, which includes a login verification module, an order information input module, a cloud computing module and an order management module;
the login verification module is used for verifying the identity of a person using the input module and the order management module in a face recognition mode;
the input module is used for inputting order information of power sale through a person with identity authentication and transmitting the order information to the cloud computing module;
the cloud computing module is used for storing the order information;
the order management module is used for managing the order information stored in the cloud computing module.
Preferably, the login verification module comprises a shooting unit, a quality detection unit, a feature extraction unit, an identity verification unit and a storage unit;
the shooting unit is used for acquiring a face image of a person using an input module and an order management module and transmitting the face image to the quality detection unit;
the quality detection unit is used for judging whether the face image meets the preset quality detection requirement or not, if so, the quality detection unit transmits the face image to the feature extraction unit, and if not, the quality detection unit sends a re-shooting instruction to the shooting unit;
the feature extraction unit is used for acquiring feature information contained in the face image;
the identity authentication unit is used for carrying out similarity calculation on the feature information and the feature information of the image stored by the storage unit, and judging whether the obtained maximum value of the similarity is greater than a preset similarity threshold value or not to obtain an identity authentication result;
the storage unit is used for storing the face image of the person with the use input module and the order management module.
Preferably, the determining whether the obtained maximum value of the similarity is greater than a preset similarity threshold value to obtain an identity verification result includes:
if the maximum value of the similarity is larger than a preset similarity threshold, the identity authentication is passed;
and if the maximum value of the similarity is less than or equal to the preset similarity threshold, the identity authentication is not passed.
Preferably, the order information includes an order generation time, an order number, a buyer name, a transaction type, a total amount of electricity for the transaction, a transaction price, and a transaction time.
Preferably, the order management module comprises a query unit, a modification unit and an analysis unit;
the query unit is used for querying the order information by a person with identity authentication according to the order generation time or the order number or the buyer name or the transaction type or the total amount of electric quantity of the transaction or the transaction price or the transaction time;
the modification unit is used for modifying the order information stored in the cloud computing module;
the analysis unit is used for analyzing the order information stored in the cloud computing module.
The invention carries out identity authentication on personnel using the input module and the order management module in a face recognition mode, and is beneficial to improving the data security of the electricity selling management system compared with the traditional identity authentication mode of account passwords. In addition, the order information is stored in the cloud computing module, and the login verification module, the order information input module and the order management module can be arranged in different places according to actual requirements, so that the order information of power selling is flexibly managed.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of a cloud computing-based electricity selling management system for an e-doctor according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, an embodiment of the present invention provides a cloud-computing-based electricity-selling management system for an e-doctor, which includes a login verification module, an order information input module, a cloud computing module, and an order management module;
the login verification module is used for verifying the identity of a person using the input module and the order management module in a face recognition mode;
the input module is used for inputting order information of power sale through a person with identity authentication and transmitting the order information to the cloud computing module;
the cloud computing module is used for storing the order information;
the order management module is used for managing the order information stored in the cloud computing module.
The invention carries out identity authentication on personnel using the input module and the order management module in a face recognition mode, and is beneficial to improving the data security of the electricity selling management system compared with the traditional identity authentication mode of account passwords. In addition, the order information is stored in the cloud computing module, and the login verification module, the order information input module and the order management module can be arranged in different places according to actual requirements, so that the order information of power selling is flexibly managed.
Preferably, the login verification module comprises a shooting unit, a quality detection unit, a feature extraction unit, an identity verification unit and a storage unit;
the shooting unit is used for acquiring a face image of a person using an input module and an order management module and transmitting the face image to the quality detection unit;
the quality detection unit is used for judging whether the face image meets the preset quality detection requirement or not, if so, the quality detection unit transmits the face image to the feature extraction unit, and if not, the quality detection unit sends a re-shooting instruction to the shooting unit;
the feature extraction unit is used for acquiring feature information contained in the face image;
the identity authentication unit is used for carrying out similarity calculation on the feature information and the feature information of the image stored by the storage unit, and judging whether the obtained maximum value of the similarity is greater than a preset similarity threshold value or not to obtain an identity authentication result;
the storage unit is used for storing the face image of the person with the use input module and the order management module.
In the embodiment, the quality of the face image is detected first, so that the face image which does not meet the quality detection requirement can be prevented from entering a subsequent unit, and the speed of identity authentication is increased. It is meaningless to carry out steps such as feature extraction, similarity calculation and the like on the face image which does not meet the quality detection requirement, and only wrong judgment results can be obtained, so that the user experience is influenced.
Preferably, the determining whether the facial image meets a preset quality detection requirement includes:
performing skin color identification processing on the face image, acquiring the total number numfc of skin pixel points in the face image, and calculating the proportion of the skin pixel points:
wherein qf represents the proportion of skin pixel points in the face image, numimg represents the total number of pixel points contained in the face image,
if qf is larger than a preset proportional threshold, acquiring the total number numrf of foreground pixel points in the face image by using an image segmentation algorithm, and carrying out next judgment;
if qf is smaller than or equal to a preset proportional threshold, indicating that the face image does not meet the preset quality detection requirement;
the next judgment comprises the following steps:
dividing the face image into numbl image blocks with equal areas;
calculating the quality parameters of the face image:
where zidx represents the quality parameter of the facial image, w1And w2Representing a preset weight parameter, w1+w2＝1，numstA standard value representing the total number of preset foreground pixels, L (c) a variance of pixel values of pixels corresponding to pixels in the c-th image block in an L component image, wherein the L component image is an image of a brightness component of the c-th image block in an Lab color space; l isstRepresenting a preset standard value of variance;
and judging whether the quality parameter is greater than a preset quality score threshold value, if so, indicating that the face image meets the preset quality detection requirement, and if not, indicating that the face image does not meet the preset quality detection requirement.
In the embodiment of the invention, when the quality is detected, the primary screening is performed according to the proportion of the skin pixel points, and if the proportion of the skin pixel points is smaller than the preset proportion threshold value, it is obvious that the proportion of the face area in the face image is too small, which is not beneficial to accurately acquiring the feature information subsequently. The skin color detection mode is high in calculation speed, and the face images which do not meet the preset quality requirement can be quickly screened out.
And if the proportion of the skin pixel points meets the requirement, further judging the proportion of the foreground pixel points and the brightness distribution condition. When the quality parameters are calculated, the face image is divided into a plurality of image blocks, then the variance of the pixel values of the pixel points in each image block in the L component image is calculated, and finally the variance of the pixel values of all the image blocks in the L component image is calculated. The setting mode can select the face image with high foreground pixel proportion and uniform brightness distribution.
Preferably, the acquiring feature information included in the face image includes:
converting the face image into a grayscale image;
filtering the gray level image to obtain a filtered image;
adopting an ostu algorithm to identify the filtering image and acquiring an interested area in the filtering image;
feature information contained in the region of interest is acquired using a HOG feature extraction algorithm.
Preferably, the converting the face image into a grayscale image includes:
carrying out brightness adjustment processing on the face image to obtain a brightness processing image;
and carrying out graying processing on the brightness image by using a weighted average method to obtain a grayscale image.
Preferably, the performing brightness adjustment processing on the face image to obtain a brightness processed image includes:
acquiring an L component image, an a component image and a b component image of the brightness image in a Lab color space;
the L component image is subjected to the following adjustment processing:
wherein tsimg (d) represents the pixel value, s, of the pixel point d in the adjusted L component image1、s2、s3Respectively represent a first preset regulating parameter, a second preset regulating parameter and a third preset regulating parameter,
mahf (d) represents the maximum value of the pixel value in the neighborhood of Q × Q size of the pixel d, nei (d) represents the mean value of the pixel value in the neighborhood of Q × Q size of the pixel d, bwd (d) represents the variance of the pixel value in the neighborhood of Q × Q size of the pixel d, img (d) represents the pixel value of the pixel d in the L component image, neid represents the set of the pixel values in the neighborhood of Q × Q size of the pixel d, img (k) represents the pixel value of the pixel k in the L component image, maL represents the maximum value of the pixel value in the L component image, numneid represents the number of elements contained in neid, and tsimg represents the L component image after the adjustment processing; s1∈(0.5,2)，s2∈(20,30)，s3∈(5,15)；
The tsimg, a-component image, and b-component image are converted to an RGB color space, obtaining a luminance processed image.
In the above embodiment of the present invention, the brightness adjustment processing is performed before the graying processing is performed on the pixel point, which is beneficial to making the brightness distribution in the obtained brightness processing image more uniform and improving the accuracy of feature information extraction.
Preferably, the filtering processing on the grayscale image to obtain a filtered image includes:
carrying out image segmentation processing on the gray level image to obtain N image blocks with the same area;
filtering each image block to obtain filtered image blocks;
and forming a filtering image by all the filtered image blocks.
Preferably, the separately performing filtering processing on each image block to obtain a filtered image block includes:
carrying out wavelet decomposition processing on the image block to obtain a high-frequency wavelet image and a low-frequency wavelet image;
for the high-frequency wavelet image, the filtering processing is carried out by the following method:
wherein hc and ahc represent the high frequency wavelet images before and after the filtering process, respectively; r is1And r2Representing a preset comparison threshold, gs representing the standard deviation of noise estimation on hc; bz (hc) represents a compensation function for hc,
th denotes a preset absolute value comparison threshold,
filtering the low-frequency wavelet image by using a non-local mean filtering algorithm to obtain a filtered low-frequency wavelet image;
the filtered low frequency wavelet image and ahc are reconstructed to obtain a filtered image block.
In the above embodiment, the image blocks are converted into the wavelet domain for filtering, so that compared with the conventional temporal filtering, more image edge information can be retained, effective filtering can be realized, and noise points can be effectively removed. Meanwhile, when the high-frequency wavelet image is subjected to filtering processing, different processing functions are adaptively selected for different types of high-frequency wavelet images for processing by comparing threshold values, and the processing mode can improve the pertinence of the processing functions, so that the accuracy of a filtering result is improved. When the low-frequency wavelet image is processed, a non-local mean filtering mode is adopted, and the processing mode further reserves effective information in the filtered image block.
Preferably, the determining whether the obtained maximum value of the similarity is greater than a preset similarity threshold value to obtain an identity verification result includes:
if the maximum value of the similarity is larger than a preset similarity threshold, the identity authentication is passed;
and if the maximum value of the similarity is less than or equal to the preset similarity threshold, the identity authentication is not passed.
Preferably, the order information includes an order generation time, an order number, a buyer name, a transaction type, a total amount of electricity for the transaction, a transaction price, and a transaction time.
Preferably, the order management module comprises a query unit, a modification unit and an analysis unit;
the query unit is used for querying the order information by a person with identity authentication according to the order generation time or the order number or the buyer name or the transaction type or the total amount of electric quantity of the transaction or the transaction price or the transaction time;
the modification unit is used for modifying the order information stored in the cloud computing module;
the analysis unit is used for analyzing the order information stored in the cloud computing module.
Preferably, the analyzing the order information stored in the cloud computing module includes:
and performing statistical analysis on the order information, generating a statistical chart according to the order information, performing progress analysis on unfinished order information and the like.
While embodiments of the 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 to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (5)
1. A cloud computing-based electricity selling management system for an e-doctor is characterized by comprising a login verification module, an order information input module, a cloud computing module and an order management module;
the login verification module is used for verifying the identity of a person using the input module and the order management module in a face recognition mode;
the input module is used for inputting order information of power sale through a person with identity authentication and transmitting the order information to the cloud computing module;
the cloud computing module is used for storing the order information;
the order management module is used for managing the order information stored in the cloud computing module.
2. The cloud computing-based electric doctor electricity selling management system as claimed in claim 1, wherein the login verification module comprises a shooting unit, a quality detection unit, a feature extraction unit, an identity verification unit and a storage unit;
the shooting unit is used for acquiring a face image of a person using an input module and an order management module and transmitting the face image to the quality detection unit;
the quality detection unit is used for judging whether the face image meets the preset quality detection requirement or not, if so, the quality detection unit transmits the face image to the feature extraction unit, and if not, the quality detection unit sends a re-shooting instruction to the shooting unit;
the feature extraction unit is used for acquiring feature information contained in the face image;
the identity authentication unit is used for carrying out similarity calculation on the feature information and the feature information of the image stored by the storage unit, and judging whether the obtained maximum value of the similarity is greater than a preset similarity threshold value or not to obtain an identity authentication result;
the storage unit is used for storing the face image of the person with the use input module and the order management module.
3. The cloud-computing-based electric doctor electricity selling management system as claimed in claim 2, wherein the determining whether the obtained maximum value of the similarity is greater than a preset similarity threshold value to obtain an authentication result comprises:
if the maximum value of the similarity is larger than a preset similarity threshold, the identity authentication is passed;
and if the maximum value of the similarity is less than or equal to the preset similarity threshold, the identity authentication is not passed.
4. The cloud-computing-based e-doctor electricity sales management system according to claim 1, wherein the order information comprises an order generation time, an order number, a buyer name, a transaction type, a total amount of electricity for the transaction, a transaction price and a transaction time.
5. The cloud computing-based electricity sales management system for the electric doctors is characterized in that the order management module comprises a query unit, a modification unit and an analysis unit;
the query unit is used for querying the order information by a person with identity authentication according to the order generation time or the order number or the buyer name or the transaction type or the total amount of electric quantity of the transaction or the transaction price or the transaction time;
the modification unit is used for modifying the order information stored in the cloud computing module;
the analysis unit is used for analyzing the order information stored in the cloud computing module.
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