CN114298813A - Enterprise user management method and system based on resource consumption - Google Patents
Enterprise user management method and system based on resource consumption Download PDFInfo
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Abstract
The invention discloses an enterprise user management method and system based on resource consumption, wherein the method comprises the following steps: acquiring resource consumption data; generating a plurality of charging bills according to the resource consumption data; extracting data characteristics of the resource consumption data; classifying the resource consumption data according to the extracted data characteristics; setting association parameters and association rules for the resource consumption data under each classification; associating a plurality of charging bills under each consumed resource data according to a preset association method; the invention provides an enterprise user management method based on resource consumption, which is used for managing the user by reversely deducing the use condition of the user based on the charging mode of the statistics of the resource consumption, thereby improving the resource utilization rate and the working efficiency of the user, and simultaneously realizing the accurate cost management of user authority, resource consumption, finance and the like.
Description
Technical Field
The invention relates to an enterprise user management method and system based on resource consumption.
Background
The cloud desktop adopts a virtualization technology to realize centralized management and rapid deployment of physical resources and virtual resources. In an enterprise application, a server may run multiple virtual desktops, and I T an administrator may assign one or more virtual machines to one or more users as needed. The user can dynamically select and consume corresponding physical resources and virtual resources according to different service scenes and application environments.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems: the cloud desktop management mode simplifies operation and maintenance management, but only uniformly manages and configures the use conditions of the whole physical resources and virtual resources in an enterprise; when the number of users is continuously increased along with the expansion of the enterprise scale, the hierarchy of an internal organization mechanism is realized, and an administrator inside the enterprise cannot accurately monitor the resource consumption condition of each user and the working progress of the users, the project progress and the cost management are directly influenced, so that the resource waste and the cost loss are caused.
Therefore, a new enterprise user management method is needed to realize accurate management.
Disclosure of Invention
The embodiment of the application provides an enterprise user management method based on resource consumption, and the method can realize accurate cost management and improve the resource utilization rate and the user working efficiency by collecting, calculating and associating the resource consumption, and reversely deducing and using the user.
In view of the above, the present invention has been developed to provide a solution to, or at least partially solve, the above problems.
In a first aspect, an embodiment of the present application provides a resource consumption-based enterprise user management method, where the method includes:
acquiring resource consumption data;
generating a plurality of charging bills according to the resource consumption data;
extracting data characteristics of the resource consumption data;
classifying the resource consumption data according to the extracted data characteristics;
setting association parameters and association rules for the resource consumption data under each classification;
associating a plurality of charging bills under each consumed resource data according to a preset association method;
and outputting and storing the result.
Further, the acquiring of the resource consumption data includes acquiring a static resource, acquiring a dynamic resource, and acquiring an interpolation resource.
Further, the acquiring of the static resources is all resource consumption data under a fixed amount; the acquiring of the dynamic resources is resource consumption data under the condition of real-time resource consumption and real-time charging; the interpolation resources are obtained in a fixed amount, and when the resources used by the single user are not completely consumed, other users with the same requirements in the enterprise can continuously consume the resources.
Further, the charging bill of the plurality of charging bills generated according to the resource consumption data is a charging bill containing multiple users, multiple interactive contents and multiple payment chains.
Further, the classifying the resource consumption data according to the extracted data features includes: and performing multi-stage classification according to the principle of multi-particle size classification.
Further, the billing of the charge includes calculating direct charges and indirect charges; the direct cost is basic resource + information resource + other digital products-own digital products; the indirect costs are dynamic costs, including administrative, financial, and operational costs.
Furthermore, the association method for associating the plurality of billing bills to each consumed resource data according to the predetermined association method adopts a multi-level association mode from small to large.
In another aspect, the present application further provides an enterprise user management system based on resource consumption, where the system includes:
a first acquisition unit configured to acquire resource consumption data;
the first charging unit is used for generating a plurality of charging bills according to the resource consumption data;
a first extraction unit for extracting data features of the resource consumption data;
a first classification unit for classifying the resource consumption data according to the extracted data features;
a first setting unit configured to set association parameters and association rules for the resource consumption data under each classification;
the first association unit is used for associating the plurality of charging bills to the consumed resource data according to a preset association method;
and the first output unit is used for outputting and storing the result.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the method implements the steps in any one of the above-mentioned methods for managing enterprise users based on resource consumption.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the foregoing enterprise user management method based on resource consumption.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the invention provides an enterprise user management method based on resource consumption, which is used for managing users by reversely deducing the use conditions of the users based on the charging mode of the statistics of the resource consumption, thereby improving the resource utilization rate and the working efficiency of the users and simultaneously realizing the accurate cost management of user authority, resource consumption, finance and the like.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of an enterprise user management method based on resource consumption according to an embodiment of the present application;
fig. 2 is a specific flowchart in the embodiment of the present application.
Fig. 3 is a schematic structural diagram of enterprise user management based on resource consumption according to an embodiment of the present application.
Detailed Description
In the description of the embodiments of the present invention, it should be apparent to those skilled in the art that the embodiments of the present invention can be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium include: a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a flash memory, an optical fiber, a compact disc read-only memory, an optical storage device, a magnetic storage device, or any combination thereof. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
Summary of the application
The method, the device and the electronic equipment are described through the flow chart and/or the block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a resource consumption-based enterprise user management method, where the method includes:
step S100, acquiring resource consumption data; the starting point of the embodiment is to provide a basis for the effective management of the user by reversely deducing the resource utilization rate and the user working efficiency of the user from the collection and analysis of the use condition of the resource. Thus, it is the starting point of the present management method to obtain resource consumption data. The acquiring of the resource consumption data comprises acquiring of static resources, acquiring of dynamic resources and acquiring of interpolation resources. The static resource acquisition is all resource consumption data under a fixed amount; the acquiring of the dynamic resources is resource consumption data under the condition of real-time resource consumption and real-time charging; the interpolation resources are obtained in a fixed amount, and when the resources used by the single user are not completely consumed, other users with the same requirements in the enterprise can continuously consume the resources.
Step S200, generating a plurality of billing bills according to the resource consumption data;
collecting and integrating the resource consumption data to form a detailed charging bill; thereby enabling subsequent analysis and correlation work to be undertaken with respect to the billing account.
And the charging bill for generating the plurality of charging bills according to the resource consumption data is a charging bill containing multiple users, multiple interactive contents and multiple payment chains. The cloud desktop accurate charging mode based on the charging engine collects and integrates key charging node data of multiple users, multiple interactive contents and multiple payment chains, and comprises information such as user account numbers, time, regions, service scenes, charging resource types and usage, charging amount, payment modes and payment modes.
The billing bill comprises calculation of direct charge and indirect charge; the direct cost is basic resource + information resource + other digital products-own digital products; the indirect costs are dynamic costs, including administrative, financial, and operational costs.
Specifically, the method for forming the billing bill comprises the following steps: (1) constructing an application layer; the application layer is used for managing user roles, classifying service scenes and determining a third-party payment platform; in particular, the application layer includes user management, application mode, and user extender management. The user management is multi-user multi-role management; the application mode is classified according to the service scene, for example, the application mode can be classified into an office/design mode, a business/non-business mode and the like; and the user extension party is a third party payment platform adopted by the user in payment, such as cloud flash payment, WeChat payment and the like.
(2) Constructing a middle platform layer; the middle platform layer is used for determining charging content and setting a charging payment rule, and simultaneously determines a charging mode consisting of a user role, the charging content, a payment form and a payment means.
Specifically, the method comprises the following steps: the charging content comprises valuable resources; the resources comprise original resources and re-created resources; the original resources comprise basic resources and information resources; the basic resources are hardware and network resources of the used cloud desktop, such as a CPU, an internal memory, a magnetic disk, network flow, bandwidth and the like; the information resources are valuable digital resources in the cloud desktop and comprise materials, maps and the like; the re-creation resource is a tradable digital product created by the user in the process of using the original resource, such as a digital model and the like. The charging payment rules comprise charging rules and payment rules, and are obtained by the user according to the application mode negotiation;
(3) constructing a data layer; the data layer is used for storing user data, charging data and operation data; the user data is user information, user requirements and the like; the charging data is the statistical data of various types of charging contents; the operation data is the behavior log of the user during charging and payment.
Through steps S100-S300, a charging system is constructed, wherein the middle platform layer is the core of the charging system.
(4) Acquiring user data; the user data comprises user information and resource use conditions; acquiring an application mode selected by a user; the user selects a corresponding application mode according to the service scene, the application mode determines the value of the digital commodity, and the payment rules including payment objects, payment proportions, payment amount and the like are determined by negotiation among the users. Under different application modes, the number of the user role types and the charging content are different.
(5) Charging the charging resources used by each user in a segmented manner and forming a charging bill; the segmented charging comprises the steps of estimating the resource and then carrying out charging calculation according to the estimated value; the billing bill includes direct charges and indirect charges.
In particular, evaluating resources is an important basis for implementing multi-directional charging. By estimating the value, value conversion can then be achieved, thereby building a new payment value chain.
The evaluation method of the information resource comprises the following steps:
constructing an information resource valuation model; the information resource valuation model is as follows: resource value is initial value + application added value;
the initial value is determined by the resource itself; the initial value relates to current resource representativeness, diversity and scalability;
the application increment is determined by the circulation condition of the resource. The application increment relates to the popularity of resources, in particular to the usage amount of the resources, the rising speed of the usage heat of the resources and the continuous attention of the resources in a certain time.
The digital product valuation method comprises the following steps: firstly, determining the product value grade through negotiation among multiple users according to the application scene of the digital product; then, combining with the service scene, dividing the service scene into business/non-business properties, and dividing the charging form into individual charge or common charge; then, the digital product is divided into disposable use or repeated use according to the continuous influence of the digital product; and finally, comprehensively considering the factors to carry out pricing.
And the multi-directional charging comprises the following steps: (1) the user is used only, and the charging and payment are carried out according to the actual used resources, namely the charging party is a paying party; (2) the user is a user and a producer, and creates valuable information resources or digital commodities in the resource using process, namely, a payer is a beneficiary and needs to estimate the valuable charging content to realize deduction payment; (3) and charging is transferred, and a user charging bill can be transferred to third party payment.
The segmented charging comprises calculating direct charge and indirect charge; the direct charge is a basic link of charging, the indirect charge is dynamic cost, and the indirect charge comprises management cost, financial cost, operation cost and the like, wherein the management cost specifically comprises the management cost of the digital product and the like; the financial cost specifically includes a service fee generated by payment of the user extender, and the like; the operation cost specifically includes system operation management and maintenance cost and the like.
The direct cost is basic resource + information resource + other digital products-own digital products; the accumulated direct cost is (basic resource + information resource + other digital products-own digital products) multiplied by N users; the indirect costs are dynamic costs, including administrative, financial, and operational costs.
(6) The payment is made according to a predetermined payment means.
The actual charging bill is the sum of the user payment and the user extension party payment; the user pays the fee, namely the user enjoys the actual expense fee after the platform offers; the user extension party cost is preferential cost borne by the third party payment platform.
The present embodiment thus forms a chain of payment values that includes both "many-to-many" forms of payment and "many-to-many" means of payment. The 'many-to-many' payment form is that a reasonable and dynamic payment rule is formulated according to the multi-user multi-role business rhythm, and multiple charging bills are paid by multiple users correspondingly. The 'many-to-many' payment means is that under different payment chains, multiple users adopt the payment form of multiple types of third party platforms, and the payment form is as follows: the actual charging bill is the sum of the user payment and the user extension party payment; the user pays the fee, namely the user enjoys the actual expense fee after the platform offers; the user extension party cost is preferential cost borne by the third party payment platform.
Step S300, extracting data characteristics of the resource consumption data;
s400, classifying the resource consumption data according to the extracted data characteristics, and generating different data formats;
the classifying the resource consumption data according to the extracted data features includes: and performing multi-stage classification according to the principle of multi-particle size classification.
As one of the key points of the inventive concept of the embodiment of the present application, the classification method may be various, but a uniform principle must be followed, which is to form a classification result with multiple particle sizes. In a popular way, no matter what classification mode is adopted and the classification of several levels is adopted, the final aim is to judge the consumed resource data (finally associated to the billing bill) from multiple dimensions through different classification granularities, so that the integrity of the data and the scientificity of judgment are ensured.
For example, one possible classification is: performing first-level classification on consumed resources according to an application scene; performing second-level classification on the application scenes under the first-level classification according to each item; performing third-level classification on the data streams under the projects obtained under the second-level classification according to a team; and performing fourth-level classification on the data streams under the teams obtained under the third-level classification to obtain decomposed specific personal roles (such as enterprise staff).
Step S500, setting association parameters and association rules for the resource consumption data under each classification;
step S600, a plurality of billing bills are associated to each consumed resource data according to a preset association method; the correlation method for correlating the plurality of charging bills to the consumed resource data according to the preset correlation method adopts a multi-level correlation mode from small to large. The data are associated to the users in a multi-level association mode from small to large, then the project content is associated through the users, and then the project content is expanded to information such as a service scene, a user unit and the like, so that the users can be classified by multiple granularities, and the integrity of the data is ensured.
And step S700, outputting and storing the result. The storage comprises a user data storage, an associated information storage and the like, and the stored data can be updated iteratively.
According to the embodiment, an enterprise user management structure based on resource consumption is constructed, firstly, resource data are collected, charged and classified, then, data and users are managed by setting a certain association rule and an association method, and finally, accurate management of the users is realized, so that effective cost management is realized and the working efficiency of the users is improved.
As shown in fig. 2, as a specific example, the work progress and the resource consumption of the user are monitored by setting the association parameters and the association rules, which are specifically as follows:
firstly, when resources are consumed, collecting the condition of resource consumption, obtaining a charging bill according to a mesh charging method, and then carrying out characteristic analysis on the resources and the charging bill and classifying the resources and the charging bill; the classification is carried out according to the hierarchical sequence of business scene, project task and team role.
In a service scene, determining a scene rule, and setting task parameters, namely task content and task quantity in the scene, in a certain scene;
in a project task, setting team parameters under certain task content, namely the number of people and roles of a project group required by the task content; setting resource parameters, namely the types and the quantity of all resources required by the completion of the project task;
in a team role, setting a time parameter, namely the time for each role to use resources in a certain project group;
finally, multiple granularity users can be associated through the associated parameters and the associated rules, the working progress and the resource consumption condition of each user can be ensured to be within the monitoring range, the best matching example is obtained, and the result is output to the enterprise so as to assist the enterprise to realize reasonable user management.
Example two
Based on the same inventive concept as the enterprise user management method based on resource consumption in the foregoing embodiment, the present invention further provides a data stream transmission system of a cloud desktop operation management system, as shown in fig. 3, where the system includes:
a first acquisition unit 11 configured to acquire resource consumption data;
the first charging unit 12 is used for generating a plurality of charging bills according to the resource consumption data;
a first extraction unit 13 for extracting data features of the resource consumption data;
a first classification unit 14 for classifying the resource consumption data according to the extracted data features;
a first setting unit 15 for setting association parameters and association rules for the resource consumption data under each classification;
a first association unit 16, configured to associate the plurality of billing bills with each consumed resource data according to a predetermined association method;
a first output unit 17 for outputting and storing the result.
Various changes and specific examples of the enterprise user management method based on resource consumption in the first embodiment of fig. 1 are also applicable to the data stream transmission system of the cloud desktop operation management system in the present embodiment, and through the foregoing detailed description of the enterprise user management method based on resource consumption, a person skilled in the art can clearly know the implementation method of the data stream transmission system of the cloud desktop operation management system in the present embodiment, so for the brevity of the description, detailed descriptions are not repeated here.
In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the processes of the embodiment of the enterprise user management method based on resource consumption are implemented, and the same technical effects can be achieved, and are not described herein again to avoid repetition.
Exemplary electronic device
Specifically, an embodiment of the present invention further provides an electronic device, which includes a bus, a processor, a transceiver, a bus interface, a memory, and a user interface.
In an embodiment of the present invention, the electronic device further includes: and the computer program is stored on the memory and can run on the processor, and when the computer program is executed by the processor, the computer program realizes the processes of the embodiment of the method for efficiently transmitting the small files in the real-time rendering.
A transceiver for receiving and transmitting data under the control of the processor.
In embodiments of the invention, a bus architecture (represented by a bus), which may include any number of interconnected buses and bridges, couples various circuits including one or more processors, represented by a processor, and memory, represented by memory.
The bus represents one or more of any of several types of bus structures, including a memory bus, and memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include: industry standard architecture bus, micro-channel architecture bus, expansion bus, video electronics standards association, peripheral component interconnect bus.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits in hardware or instructions in software in a processor. The processor described above includes: general purpose processors, central processing units, network processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, complex programmable logic devices, programmable logic arrays, micro-control units or other programmable logic devices, discrete gates, transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. For example, the processor may be a single core processor or a multi-core processor, which may be integrated on a single chip or located on multiple different chips.
The processor may be a microprocessor or any conventional processor. The steps of the method disclosed in connection with the embodiments of the present invention may be directly performed by a hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read only memory, programmable read only memory, erasable programmable read only memory, registers, and the like, as is known in the art. The readable storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The bus may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to one another, and the bus interface provides an interface between the bus and the transceiver, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.
The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other devices over a transmission medium. For example: the transceiver receives external data from other equipment, and the transceiver is used for transmitting the data processed by the processor to other equipment. Depending on the nature of the computer system, a user interface may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It will be appreciated that in embodiments of the invention, the memory may further comprise memory remotely located from the processor, and that such remotely located memory may be connected to the server via a network. One or more portions of the above-described network may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, the internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and a combination of two or more of the above. For example, the cellular telephone network and the wireless network may be a global system for mobile communications, code division multiple access, global microwave interconnect access, general packet radio service, wideband code division multiple access, long term evolution, LTE frequency division duplex, LTE time division duplex, long term evolution-advanced, universal mobile communications, enhanced mobile broadband, mass machine type communications, ultra-reliable low latency communications, etc.
It will be appreciated that the memory in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory of the electronic device described in the embodiments of the present invention includes, but is not limited to, the above and any other suitable types of memory.
In an embodiment of the present invention, the memory stores the following elements of the operating system and application: an executable module, a data structure, or a subset thereof, or an expanded set thereof.
Specifically, the operating system includes various system programs such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. The application programs include various application programs such as: media player, browser, used to realize various application services. The program for implementing the method of the embodiment of the present invention may be included in the application program. The application program comprises: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned method for storing high performance-price ratio data in cloud rendering, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present invention, and all such changes or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for enterprise user management based on resource consumption, wherein the method comprises:
acquiring resource consumption data;
generating a plurality of charging bills according to the resource consumption data;
extracting data characteristics of the resource consumption data;
classifying the resource consumption data according to the extracted data characteristics;
setting association parameters and association rules for the resource consumption data under each classification;
associating a plurality of charging bills under each consumed resource data according to a preset association method;
and outputting and storing the result.
2. The method of claim 1, wherein the obtaining resource consumption data comprises obtaining static resources, obtaining dynamic resources, and obtaining interpolated resources.
3. The enterprise user management method based on resource consumption according to claim 2, wherein the static resource acquisition is all resource consumption data at a fixed amount; the acquiring of the dynamic resources is resource consumption data under the condition of real-time resource consumption and real-time charging; the interpolation resources are obtained in a fixed amount, and when the resources used by the single user are not completely consumed, other users with the same requirements in the enterprise can continuously consume the resources.
4. The method as claimed in claim 1, wherein the billing bill for generating several billing bills according to the resource consumption data is a billing bill containing multi-user, multi-interactive content, multi-payment chain.
5. The method of claim 4, wherein the classifying resource consumption data according to the extracted data features comprises: and performing multi-stage classification according to the principle of multi-particle size classification.
6. The method of claim 5, wherein the billing of the account includes calculating direct charges and indirect charges; the direct cost is basic resource + information resource + other digital products-own digital products; the indirect costs are dynamic costs, including administrative, financial, and operational costs.
7. The method as claimed in claim 6, wherein the association method for associating the billing bills with the consumed resource data is a multi-level association from small to large.
8. An enterprise user management system based on resource consumption, wherein the system comprises:
a first acquisition unit configured to acquire resource consumption data;
the first charging unit is used for generating a plurality of charging bills according to the resource consumption data;
a first extraction unit for extracting data features of the resource consumption data;
a first classification unit for classifying the resource consumption data according to the extracted data features;
a first setting unit configured to set association parameters and association rules for the resource consumption data under each classification;
the first association unit is used for associating the plurality of charging bills to the consumed resource data according to a preset association method;
and the first output unit is used for outputting and storing the result.
9. An enterprise user management system based on resource consumption, comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected via the bus, characterized in that the computer program realizes the steps in the method for enterprise user management based on resource consumption according to any of claims 1-7 when executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for enterprise user management based on resource consumption according to any one of claims 1-7.
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Cited By (1)
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| CN117742975A (en) * | 2024-02-20 | 2024-03-22 | 北京搜狐新媒体信息技术有限公司 | Resource data processing method and device, storage medium and electronic equipment |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117742975A (en) * | 2024-02-20 | 2024-03-22 | 北京搜狐新媒体信息技术有限公司 | Resource data processing method and device, storage medium and electronic equipment |
| CN117742975B (en) * | 2024-02-20 | 2024-06-04 | 北京搜狐新媒体信息技术有限公司 | Resource data processing method and device, storage medium and electronic equipment |
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