CN116860214A

CN116860214A - Method, device, equipment and storage medium for constructing rights center system based on SAAS (software as a service) idea

Info

Publication number: CN116860214A
Application number: CN202310859527.9A
Authority: CN
Inventors: 吴杰伟
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2023-07-12
Filing date: 2023-07-12
Publication date: 2023-10-10

Abstract

The invention relates to the field of authority systems, and discloses a construction method of an authority center system based on an SAAS (software as a service) idea, which comprises the following steps: acquiring enterprise demands of enterprises, and extracting features of each enterprise demand by using a preset convolutional neural network to obtain demand features; performing feature screening by using a preset principal component analysis method according to the demand features to obtain main features; performing function fuzzy matching with a pre-acquired SAAS system according to the main characteristics to obtain a required function; generating a data calling interface and a front end interface according to the demand function; configuring an authentication interface according to a pre-acquired position authority and a system identifier provided by an SAAS system; and integrating the rights center system according to the data calling interface, the front-end interface, the authentication interface and the demand function. In addition, the present invention relates to blockchain technology, where corporate requirements and SAAS system functions may be stored at nodes of the blockchain. The invention also provides a rights center system construction device, electronic equipment and storage medium based on the SAAS idea.

Description

Method, device, equipment and storage medium for constructing rights center system based on SAAS (software as a service) idea

Technical Field

The present invention relates to the field of rights systems, and in particular, to a method and apparatus for constructing a rights center system based on the SAAS concept, an electronic device, and a computer readable storage medium.

Background

With the increasing of respective enterprises, the system authority of the enterprises is customized more and more, and system suppliers provide more and more products on the market, but most of the system suppliers complete similar functions according to the demands of the enterprises, so that the management and labor cost of the system are high.

The existing system suppliers all complete a set of functions according to the requirements of a company, and further the problems of repeated development of functions, non-uniform function design and the like are often caused. For example, the business of the banking industry is complex, so the system design of the rights center needs to be more and flexible, but the business of some small enterprises is simple, so the system requirement of the rights center is simple, but the page is required to be attractive, so different systems are designed to be used for different clients. However, in practical application, different systems have multiple same functions, so that the systems are custom-made one by one, and the problems of more rights management inlets, repeated function development and non-uniform function design can be caused, so that a large burden is brought to company management cost and labor cost.

Disclosure of Invention

The invention provides a method and a device for constructing a rights center system based on SAAS (software as a service) idea and a computer readable storage medium, and mainly aims to solve the problems of more rights management entries, repeated function development and non-uniform function design.

In order to achieve the above object, the present invention provides a rights center system construction method based on SAAS ideas, including:

acquiring enterprise demands of enterprises, and extracting features of each enterprise demand by using a preset convolutional neural network to obtain demand features;

performing feature screening according to the demand features by using a preset principal component analysis method to obtain main features;

performing function fuzzy matching with a pre-acquired SAAS system according to the main characteristics to obtain a required function;

generating a data calling interface and a front-end interface according to the demand function;

configuring an authentication interface according to the pre-acquired position authority and the system identifier provided by the SAAS system;

and according to the data calling interface, the front-end interface, the authentication interface and the demand function integrated rights center system.

Optionally, the extracting the characteristics of each enterprise requirement by using a preset convolutional neural network to obtain a requirement characteristic includes:

Vector conversion is carried out on the enterprise demands to obtain text vector data, and 0 supplementing and filling are carried out according to the text vector data to obtain a text vector data matrix;

performing grouping convolution operation for preset times by using a convolution check text vector data matrix in the convolution neural network to obtain local characteristics;

downsampling the local features for preset times to obtain feature representation;

feature fusion and dimension reduction are carried out on the feature representation to obtain feature information;

and performing classification processing on the characteristic information by utilizing a softmax function in the convolutional neural network to obtain the demand characteristic.

Optionally, the feature screening according to the requirement feature by using a preset principal component analysis method to obtain a main feature includes:

carrying out standardization processing on the feature requirements to obtain standardized features;

calculating a covariance matrix of the standardized features;

calculating eigenvalues and eigenvectors of the covariance matrix;

sorting the magnitudes of the characteristic values in a descending order, and sequentially selecting characteristic vectors corresponding to the characteristic values with preset screening numbers as main components according to sorting results;

projecting the normalized features onto the principal components to calculate a score for each of the principal components;

And sorting in descending order according to the main component scores, and sequentially selecting a preset number of main components as main features according to the sorting result.

Optionally, the performing function fuzzy matching with a pre-acquired SAAS system according to the main feature to obtain a required function includes:

vector conversion is carried out on the function label of the SAAS system obtained in advance to obtain a function vector;

calculating cosine similarity of the functional vector and each main feature one by one to obtain a similarity result;

and performing descending order sorting on the similarity results, and selecting a first corresponding function of the similarity result sorting according to the descending order sorting results to obtain a demand function.

Optionally, the generating a data call interface according to the demand function includes:

configuring a request method for calling a demand function of the SAAS system according to an interface URL provided in the SAAS system;

mapping request parameters according to the request method;

and realizing a data calling interface according to the request method and the request parameters.

Optionally, the generating a front-end interface according to the demand function includes:

configuring a system page provided by the SAAS according to a pre-acquired enterprise demand page to obtain an authority system interface;

And configuring and obtaining a front page according to the permission system interface and the request method.

Optionally, the configuring the authentication interface according to the pre-acquired job authority and the system identifier provided by the SAAS system includes:

performing function matching according to the job right and the demand function to obtain a job function owned by each job;

creating a permission table according to the job function;

creating a section class;

generating an annotation for checking authority of each request for accessing the front-end page on the section class according to the system identifier provided by the SAAS system and the authority table, wherein the annotation comprises: when the request contains the system identifier provided by the SAAS system and is also contained in the permission table, the permission verification passes and access is allowed; when the request does not contain the system identifier provided by the SAAS system or is no longer in the authority table, the authority check is not passed, and data interception is carried out; and adding the annotation before the data interface of each demand function to obtain the configured authentication interface.

In order to solve the above problems, the present invention further provides a rights center system building apparatus based on the SAAS idea, the apparatus comprising:

The system comprises a demand acquisition module, a demand analysis module and a demand analysis module, wherein the demand acquisition module is used for acquiring enterprise demands of enterprises and extracting characteristics of each enterprise demand by utilizing a preset convolutional neural network to obtain demand characteristics;

the feature screening module is used for carrying out feature screening by utilizing a preset principal component analysis method according to the demand features to obtain main features;

and a fuzzy matching module: the function fuzzy matching module is used for carrying out function fuzzy matching with a pre-acquired SAAS system according to the main characteristics to obtain a required function;

a data interface and front end interface generation module: the data calling interface and the front end interface are generated according to the demand function;

and an authentication interface configuration module: the system identification configuration authentication interface is used for configuring an authentication interface according to the pre-acquired position authority and the system identification provided by the SAAS system;

and a system integration module: and the system is used for integrating the authority center system according to the data calling interface, the front-end interface, the authentication interface and the demand function.

In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the above-described SAAS concept-based rights issuer system construction method.

In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one computer program that is executed by a processor in an electronic device to implement the above-mentioned SAAS concept-based rights issuer system construction method.

According to the embodiment of the invention, the data calling interface and the front end interface are generated according to the requirement function, so that on one hand, the authority center system of the enterprise can be realized according to the requirement of the enterprise, and on the other hand, the personalized customization of the enterprise is finished, and on the other hand, the functions of the system called according to the requirement of the enterprise can be realized, so that a plurality of systems can be used for one system function, and the problem of unified function design is solved, and the labor cost is greatly reduced; the configuration authentication interface according to the pre-acquired position authorities and the system identification provided by the SAAS system has the advantages that different authorities can be divided according to different positions, so that different people have different functions, the safety and reliability of the system are greatly improved, the risks of unauthorized access and data leakage are avoided, the problem of unification of the access of the multiple system authorities is solved, and the cost of a management system is greatly reduced. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for constructing the rights center system based on the SAAS idea can solve the problems of more rights management entries, repeated function development and non-uniform function design.

Drawings

FIG. 1 is a schematic flow chart of a method for constructing a rights issuer system based on SAAS ideas according to an embodiment of the present application;

FIG. 2 is a flow chart of extracting demand features according to an embodiment of the present application;

FIG. 3 is a flow chart of a demand matching function according to an embodiment of the present application;

FIG. 4 is a functional block diagram of a rights issuer system building device based on SAAS ideas according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device for implementing the method for constructing a rights issuer system based on the SAAS concept according to an embodiment of the present application.

The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The embodiment of the application provides a method for constructing a rights center system based on SAAS ideas. The execution main body of the rights center system construction method based on the SAAS idea comprises at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the rights center system construction method based on the SAAS concept may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (ContentDelivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

Referring to fig. 1, a flow chart of a method for constructing a rights center system based on the SAAS concept according to an embodiment of the present invention is shown. In this embodiment, the method for constructing the rights center system based on the SAAS idea includes:

s1, acquiring enterprise demands of enterprises, and extracting features of each enterprise demand by using a preset convolutional neural network to obtain demand features.

In one practical application scenario of the invention, the purpose of extracting the characteristics of each enterprise requirement by using the preset convolutional neural network to obtain the requirement characteristics is to automatically extract important characteristics related to the requirements of a bank enterprise, a financial institution or various large, medium and small enterprises, so that the processing efficiency and the accuracy of the enterprise requirements are improved.

In the embodiment of the invention, the convolution operation can be performed by utilizing cavity convolution or group convolution to obtain local characteristics.

Specifically, when the convolution operation is performed by using the hole convolution, the hole convolution is introduced into the convolution kernel, so that the convolution kernel can perform the convolution operation in a larger space range, the receptive field is increased, and the obtained feature accuracy is higher.

Specifically, when using the group convolution, since the group convolution divides the input and convolution kernels into a plurality of groups, each group performs an independent convolution operation, and the results are finally combined, the efficiency of the group convolution is higher.

In the embodiment of the present invention, referring to fig. 2, the step of extracting the characteristics of each enterprise requirement by using a preset convolutional neural network to obtain the requirement characteristics includes:

s21, carrying out vector conversion on the enterprise demands to obtain text vector data, and carrying out 0 supplementing and filling according to the text vector data to obtain a text vector data matrix;

s22, performing grouping convolution operation for preset times by utilizing a convolution check text vector data matrix in the convolution neural network to obtain local features;

s23, downsampling the local features for preset times to obtain feature representations;

s24, carrying out feature fusion and dimension reduction on the feature representation to obtain feature information;

s25, performing classification processing on the characteristic information by utilizing a softmax function in the convolutional neural network to obtain the demand characteristic.

In the embodiment of the invention, the vector conversion of the text can be realized by using a word bag model or word frequency-inverse text frequency.

Specifically, when the text is subjected to vector conversion by using the bag-of-word model, the bag-of-word model can automatically capture keywords of the text, so that the obtained text vector is higher in efficiency.

Specifically, when vector conversion is performed by using word frequency-inverse text frequency, since the word frequency-inverse text frequency can capture each word in the text and give a higher weight to keywords in the text, the accuracy of the obtained text vector is higher.

In embodiments of the present invention, the feature representation may be obtained using a random downsampling scheme or a balanced cascading algorithm.

In particular, when the feature representation is obtained by means of random downsampling, the efficiency of obtaining the feature representation is higher because the idea of random downsampling is simple.

Specifically, when the feature representation is obtained by using a balanced cascading algorithm, since the balanced cascading algorithm is to divide subsets, training a model by combining each subset with a few samples respectively finally obtains the feature representation, the obtained feature representation has higher accuracy.

In the embodiment of the invention, the characteristic information can be obtained by carrying out characteristic fusion and dimension reduction by using a weighted average method or characteristic splicing.

Specifically, when feature fusion and dimension reduction are performed by using a weighted average method, the obtained data has higher reliability because the weighting is performed according to the importance of different features.

Specifically, when feature fusion and dimension reduction are performed by utilizing feature stitching, the feature stitching can fully retain feature information of different sources, so that the obtained feature accuracy is higher.

In detail, the method for extracting the characteristics of each enterprise requirement by using the preset convolutional neural network to obtain the requirement characteristics has the advantage that the enterprise characteristics can be extracted according to the enterprise requirements, so that the rights center system can be customized more accurately according to the enterprise requirements.

S2, performing feature screening by using a preset principal component analysis method according to the demand features to obtain main features.

In one practical application scenario of the present invention, the main feature obtained by feature screening according to the requirement feature by using a preset principal component analysis method aims to screen out the necessary features and reduce unnecessary functions of a subsequent customization system, for example: the necessary functions of the financial institution system may be customer management, financial management, transaction management, etc., and the unnecessary functions thereof may be such functions as employee welfare function, report statistics function, etc. may be replaced by other means, so that the unnecessary functions are reduced, thereby reducing the system customization cost of the enterprise.

In the embodiment of the invention, the feature screening according to the demand feature by using a preset principal component analysis method to obtain the main feature comprises the following steps:

calculating a covariance matrix of the standardized features;

calculating eigenvalues and eigenvectors of the covariance matrix;

For example, according to the existing n pieces of demand feature data, arranging the demand features into a matrix X according to columns, subtracting the average value of the line from each number in the X to obtain a standardized feature, and performing covariance calculation by using the following formula to obtain a covariance matrix;

wherein X' is a standardized feature matrix, X ^′T The transpose of the normalized feature matrix is represented by M, the covariance matrix, and n, the number of samples.

Then, carrying out eigenvalue decomposition on the covariance matrix to obtain eigenvalue hypothesis of the matrix as lambda and eigenvector m, carrying out descending order of lambda, sequentially selecting k eigenvectors m corresponding to lambda as principal components of a preset screening number according to the ordering result of lambda, mapping standardized features onto the principal components, calculating information contribution rate and accumulated contribution rate of the eigenvalue, calculating the score of each principal component according to the information contribution rate and the accumulated contribution rate, and sequentially selecting principal components of a preset number y as principal features according to the ordering result.

Specifically, the feature requirements may be normalized by using a linear function normalization or zero-mean normalization method.

In detail, when the feature requirements are normalized by using the linear function normalization, the feature values are scaled to be between [0,1], so that dimensional differences among different feature values are avoided, and the obtained normalized feature accuracy is higher.

In detail, when the feature requirement is standardized by zero mean normalization, the problem of high numerical calculation difficulty caused by overlarge deviation of the feature value is avoided because the mean value of the feature value is adjusted to 0, so that the efficiency of obtaining the standardized feature is higher.

Specifically, the method for screening the characteristics according to the demand characteristics by using the preset principal component analysis method has the advantages that the principal characteristics in the demand characteristics can be extracted by using the principal component analysis method, and unnecessary characteristics are screened out, so that the data are more refined, and the functional accuracy and the conciseness of a subsequent system are improved.

And S3, performing function fuzzy matching with a pre-acquired SAAS system according to the main characteristics to obtain a required function.

In one practical application scenario of the invention, the objective of obtaining the required function by performing function fuzzy matching with the pre-acquired SAAS system according to the main characteristics is to select the function of the SAAS system required by an enterprise, and complete the customization of the system according to the function.

In the embodiment of the present invention, referring to fig. 3, the performing function fuzzy matching with a pre-acquired SAAS system according to the main feature to obtain a required function includes:

s31, carrying out vector conversion on the function label of the SAAS system obtained in advance to obtain a function vector;

s32, calculating cosine similarity of the functional vector and each main feature one by one to obtain a similarity result;

s33, sorting the similarity results in a descending order, and selecting the corresponding function of the first similarity result sorting according to the descending order sorting results to obtain the required function.

For example, the pre-acquired SAAS system and the main features of the enterprise are acquired, wherein the functions in the SAAS system include human management and classification management, the main features of the enterprise are vectors managed by a user, the vectors are assumed to be (1,1,0,1,1,1), vector conversion is performed on the human management and the classification management to obtain a function vector 1 (1,1,1,0,1,1) and a function vector 2 (0,1,1,0,1,1), cosine similarity calculation is performed on the function vector 1 and the function vector 2 and the main features respectively, the similarity of the function vector 1 is approximately 0.82, the similarity of the function vector 2 is 0.67, the results of the function vectors are classified, the classification result is 0.82,0.67, so that the function vector 1 is more similar, and the results corresponding to the function vector 1 are output to obtain the required functions.

Specifically, the function fuzzy matching with the pre-acquired SAAS system according to the main characteristics to obtain the demand function has the advantages that the maximum similar function of the enterprise demand and the system function can be automatically acquired through fuzzy matching, the customization efficiency can be improved, and the customization function can be completed to the maximum extent.

And S4, generating a data calling interface and a front-end interface according to the demand function.

In one practical application scenario of the invention, the purpose of generating the data call interface and the front-end interface according to the demand function is to complete the framework construction of the rights center system according to the demand function, for example, the front-end interfaces of some banking enterprises may be more biased, concise and practical, and some enterprises need the interfaces to exaggerate and attract customers; therefore, generating different data interfaces and front-end interfaces according to different system functions is also beneficial to realizing personalized customization of enterprises.

In this embodiment of the present invention, the generating a data call interface according to the demand function includes:

mapping request parameters according to the request method;

Specifically, the request parameter mapping may be performed in a request body json manner or a form parameter manner.

In detail, when the request parameter mapping is performed by using the form parameter mode, since different form parameters can be set according to different requirements, the reliability of the content is higher.

In detail, when the request parameter mapping is performed by using the request header json method, the json of the request body is automatically converted into the custom object, so that the content obtaining efficiency is higher.

In this embodiment of the present invention, the generating a front-end interface according to the demand function includes:

Specifically, the data call interface and the front end interface generated according to the requirement function have the advantages that the rights center system of the enterprise can be realized according to the requirement of the enterprise, and personalized customization of the enterprise is realized.

S5, configuring an authentication interface according to the pre-acquired position right, the data interface and the system identification provided by the SAAS system.

In one practical application scenario of the invention, the purpose of configuring the authentication interface according to the pre-acquired position authorities and the system identifier provided by the SAAS system is to set different authorities to see different menus according to different positions, thereby being beneficial to authority management among the positions.

In this embodiment of the present invention, the configuring the authentication interface according to the pre-acquired job authority and the system identifier provided by the SAAS system includes:

creating a permission table according to the job function;

creating a section class;

Specifically, a text matching algorithm or a similarity matching algorithm can be adopted to perform functional matching.

In detail, when the text matching algorithm is adopted to perform function matching, the text matching algorithm is directly matched according to the meaning of the text surface, so that the obtained result is higher in efficiency.

In detail, when the similarity matching algorithm is adopted to perform functional matching, since the text is converted into the vector and the matching is performed from the aspect of higher dimension, the accuracy of the obtained result is higher.

In the embodiment of the invention, the configuration of the authentication interface according to the pre-acquired position authorities and the system identification provided by the SAAS system has the advantages that different authorities can be divided according to different positions, so that different people have different functions, the safety and the reliability of the system are greatly improved, and the risks of unauthorized access and data leakage are avoided.

S6, calling an interface, the front end interface, the authentication interface and the demand function integrated authority center system according to the data.

And combining and integrating the data calling interface, the front end interface, the authentication interface and the demand function to obtain a rights center system.

In one practical application scene, the integrated rights center system integrating the functions according to the data calling interface, the authentication interface and the requirements has the advantages that through the integrated rights center system, only authenticated users can be ensured to access related data and functions, so that privacy and fund safety of clients are ensured, repeated steps of the system in the process of system construction are avoided, and manpower and material cost is greatly reduced.

Fig. 4 is a functional block diagram of a rights issuer system building device based on the SAAS concept according to an embodiment of the present invention.

The rights center system construction device 100 based on the SAAS concept of the present invention may be installed in an electronic device. Depending on the implementation function, the rights center system building device 100 based on the SAAS concept may include a requirement acquisition module 101, a feature screening module 102, a fuzzy matching module 103, a data interface and front-end interface generating module 104, an authentication interface configuration module 105, and a system integration module 106. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.

In the present embodiment, the functions concerning the respective modules/units are as follows:

the demand acquisition module 101 is configured to acquire enterprise demands of an enterprise, and perform feature extraction on each enterprise demand by using a preset convolutional neural network to obtain a demand feature;

the feature screening module 102 is configured to perform feature screening by using a preset principal component analysis method according to the demand feature to obtain a main feature;

fuzzy matching module 103: the function fuzzy matching module is used for carrying out function fuzzy matching with a pre-acquired SAAS system according to the main characteristics to obtain a required function;

data interface and front end interface generation module 104: the data calling interface and the front end interface are generated according to the demand function;

authentication interface configuration module 105: the system identification configuration authentication interface is used for configuring an authentication interface according to the pre-acquired position authority and the system identification provided by the SAAS system;

system integration module 106: and the system is used for integrating the authority center system according to the data calling interface, the front-end interface, the authentication interface and the demand function.

In detail, each module in the SAAS concept-based rights issuer system building device 100 in the embodiment of the present invention adopts the same technical means as the above-mentioned SAAS concept-based rights issuer system building method in fig. 1 to 3, and can produce the same technical effects, which are not repeated here.

Fig. 5 is a schematic structural diagram of an electronic device for implementing a method for constructing a rights issuer system based on the SAAS concept according to an embodiment of the present invention.

The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a rights centre system building program based on the SAAS idea.

The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory 11 (for example, executes a rights center system construction program based on the SAAS concept, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device and process data.

The memory 11 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of a rights center system construction program based on the SAAS concept, but also for temporarily storing data that has been output or is to be output.

The communication bus 12 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.

The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.

Only an electronic device having components is shown, and it will be understood by those skilled in the art that the structures shown in the figures do not limit the electronic device, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.

For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.

It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.

The rights center system building program based on the SAAS concept stored in the memory 11 in the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:

In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.

Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).

The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:

In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.

Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. The method for constructing the rights center system based on the SAAS idea is characterized by comprising the following steps:

2. The method for constructing the rights issuer system based on the SAAS concept as claimed in claim 1, wherein the feature extraction of each enterprise requirement by using a preset convolutional neural network to obtain a requirement feature comprises:

3. The method for constructing a rights issuer system based on the SAAS idea according to claim 2, wherein the feature screening according to the demand feature by using a preset principal component analysis method to obtain a main feature comprises:

Calculating a covariance matrix of the standardized features;

calculating eigenvalues and eigenvectors of the covariance matrix;

4. The method for constructing a rights issuer system based on the SAAS concept as claimed in claim 1, wherein the performing the function fuzzy matching with the pre-acquired SAAS system according to the main feature to obtain the required function includes:

5. The SAAS concept-based rights center system construction method of claim 1, wherein the generating a data call interface according to the demand function comprises:

mapping request parameters according to the request method;

6. The method for constructing a rights issuer system based on the SAAS concept as claimed in claim 1, wherein said generating a front-end interface according to the demand function includes:

7. The SAAS concept-based rights issuer system construction method as claimed in any one of claims 1 to 6, wherein configuring an authentication interface according to a pre-acquired job right and a system identification provided by the SAAS system includes:

Creating a permission table according to the job function;

creating a section class;

8. A rights center system construction apparatus based on the SAAS concept, the apparatus comprising:

9. An electronic device, the electronic device comprising:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the SAAS concept-based rights issuer system construction method as set forth in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the SAAS concept-based rights issuer system construction method as claimed in any one of claims 1 to 7.