CN115934154A

CN115934154A - Large service data resource allocation management method, device and equipment for digital product

Info

Publication number: CN115934154A
Application number: CN202211536092.6A
Authority: CN
Inventors: 徐庆锋
Original assignee: Wuhan Haoyang Technology Co ltd
Current assignee: Wuhan Haoyang Technology Co ltd
Priority date: 2022-12-02
Filing date: 2022-12-02
Publication date: 2023-04-07

Abstract

The invention relates to an artificial intelligence technology, and discloses a method, a device and equipment for allocating and managing big service data resources of a digital product, wherein the method comprises the following steps: carrying out block configuration on an interface frame of the digital product, and carrying out push service configuration on the interface frame after the block configuration to obtain a configured digital product interface; rendering the configured digital product interface to obtain a visual interface of the digital product, and acquiring a large service data distribution request of a user according to the visual interface; and generating a resource allocation live scene of the digital product, and performing the large service data allocation of the user according to the large service data allocation request and the resource allocation live scene. In addition, the invention also relates to a block chain technology, and the data list can be stored in the node of the block chain. The invention also provides a device and equipment for allocating and managing the large service data resources of the digital product. The invention can improve the efficiency of the large service data resource allocation management of the digital product.

Description

Large service data resource allocation management method, device and equipment for digital product

Technical Field

The invention relates to the technical field of artificial intelligence, in particular to a method, a device and equipment for distributing and managing large service data resources of digital products.

Background

With the advent of the big data age, the importance of data resources has brought an unprecedented height, and the data resources, namely assets, are widely accepted, and are the wealth to be explored by enterprises just like the root of the enterprises. Large service data resources are enterprise assets and must be incorporated into the enterprise's asset management. In the realistic context of new and digital economies, especially in production and business activities where artificial intelligence dominates or participates, large data is an indispensable input, and as with other resources, the value sources of the data are based on scarcity. Although the data is different from some resources, the data can be used only once and can be repeatedly used, the data does not mean that the data is not scarce.

At present, a large amount of data is generated in the development process of digital products, some enterprises leave the generated large amount of data alone, or put all the data in a database, but do not classify and manage the data, some enterprises manage the data by using only rough classification criteria, and when the large service data resources need to be allocated, the allocation of the large service data resources is disordered, so that the large service data resources cannot be reasonably utilized. Therefore, how to improve the efficiency of allocating and managing the large service data resources of the digital product becomes a problem to be solved urgently.

Disclosure of Invention

The invention provides a method, a device and equipment for allocating and managing large service data resources of a digital product, and mainly aims to solve the problem of low efficiency in allocating and managing the large service data resources of the digital product.

In order to achieve the above object, the present invention provides a method for allocating and managing big service data resources of a digital product, comprising:

acquiring an interface frame of a digital product, and carrying out block configuration on the interface frame to obtain an intermediate product interface;

performing push service configuration on the intermediate product interface to obtain a configured digital product interface;

rendering the configured digital product interface to obtain a visual interface of the digital product, and acquiring a large service data distribution request of a user according to the visual interface;

determining the resource allocation priority of the digital product, and generating a resource allocation sequence table of the digital product according to the resource allocation priority;

and generating a resource allocation live scene of the digital product by using the resource allocation sequence table, and performing the large service data allocation of the user according to the large service data allocation request and the resource allocation live scene.

Optionally, the performing block allocation on the interface frame to obtain an intermediate product interface includes:

carrying out retrieval block configuration on the interface frame to obtain a primary digital product frame;

performing subscription block configuration on the primary digital product frame to obtain a secondary digital product frame;

carrying out propaganda block configuration on the secondary digital product framework to obtain a tertiary digital product framework;

and carrying out authentication block configuration on the three-level digital product frame to obtain an intermediate product interface.

Optionally, the performing push service configuration on the intermediate product interface to obtain a configured digital product interface includes:

acquiring a pushing rule of the intermediate product interface;

carrying out rule analysis on the pushing rule to obtain the pushing data type and the pushing period of the intermediate product interface;

packaging the push data type and the push period to obtain a push data packet;

and carrying out push service configuration on the intermediate product interface according to the push data packet to obtain a configured digital product interface.

Optionally, the rendering the configured digital product interface to obtain the visual interface of the digital product includes:

obtaining a rendering instruction of the configured digital product interface, and performing instruction analysis on the rendering instruction to obtain an interface content tree of the digital product interface;

generating an interface rule tree according to the interface content tree, and constructing an interface rendering tree of the digital product interface by using the interface content tree and the interface rule tree;

generating nodes of the interface rendering tree, and performing position layout on the digital product interface by using the nodes to obtain an interface block of the digital product interface;

and drawing the interface block by using a preset user interface complete set of elements to obtain a visual interface of the digital product.

Optionally, the obtaining a large service data allocation request of a user according to the visual interface includes:

acquiring a buried point event according to the interface block, and performing element transformation on the buried point event to obtain a target buried point element;

adding the target embedded point element to a key node in the visual interface to complete embedding;

and generating an interface log of the visual interface according to the buried point, and performing request analysis on the interface log to obtain a large service data distribution request of a user.

Optionally, the generating a resource deployment scenario of the digital product using the resource allocation sequence table includes:

acquiring a real-time task of the digital product, and classifying the real-time task according to the resource allocation sequence table to obtain a classification task of the digital product;

counting the number of the classification tasks, and setting a moving average algorithm parameter according to the number;

and calculating the completion time of the classification task by using a set moving average algorithm, and generating the resource allocation live of the digital product according to the completion time.

Optionally, the allocating the big service data of the user according to the big service data allocation request and the resource deployment live condition includes:

acquiring a request identifier of the large service data distribution request, and splitting the large service data distribution request into a plurality of sub-distribution requests according to the request identifier;

traversing the classification task in the resource allocation live condition to obtain the task progress of the classification task;

and determining the execution time of the sub-distribution request according to the task progress, and distributing the large service data of the user according to the execution time.

In order to solve the above problem, the present invention further provides a device for allocating and managing large service data resources of digital products, the device comprising:

the block configuration module is used for acquiring an interface frame of the digital product, and performing block configuration on the interface frame to obtain an intermediate product interface;

the service configuration module is used for carrying out push service configuration on the intermediate product interface to obtain a configured digital product interface;

the interface rendering module is used for rendering the configured digital product interface to obtain a visual interface of the digital product, and acquiring a large service data distribution request of a user according to the visual interface;

the priority allocation module is used for determining the resource allocation priority of the digital product and generating a resource allocation sequence table of the digital product according to the resource allocation priority;

and the resource allocation live condition module is used for generating a resource allocation live condition of the digital product by using the resource allocation sequence table and performing the large service data allocation of the user according to the large service data allocation request and the resource allocation live condition.

In order to solve the above problem, the present invention also provides an electronic device, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the above-described method for managing big service data resource allocation of a digital product.

The method, the device and the equipment for managing the large service data resource allocation of the digital product have the advantages that the block allocation is carried out on the interface frame of the digital product, the push service allocation is carried out on the interface frame after the block allocation, the allocated digital product interface is obtained, functions and block advantages contained in the digital product interface are better defined, the allocated digital product interface is rendered, the allocated digital product interface is more attractive and readable, a large service data allocation request of a user is obtained by using a buried point, triggering conditions and subsequent behaviors of behavior acquisition are defined without using clumsy acquisition code programming, instead, definition and capture of key events are completed in modes of back-end allocation or front-end visual selection and the like, attention point change and historical data backtracking can be better supported, practice information of a resource allocation task of the digital product is obtained by using a progress bar, information display is realized, reading of the information is facilitated, and the allocation efficiency of the data resource is accelerated.

Drawings

Fig. 1 is a schematic flowchart of a method for allocating and managing big service data resources of a digital product according to an embodiment of the present invention;

FIG. 2 is a flow chart illustrating a service configuration according to an embodiment of the present invention;

fig. 3 is a schematic flowchart of interface rendering according to an embodiment of the present invention;

fig. 4 is a functional block diagram of a large service data resource allocation management apparatus for digital products according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device for implementing the method for allocating and managing large service data resources of a digital product according to an embodiment of the present invention.

The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The embodiment of the application provides a large service data resource allocation management method for digital products. The execution subject of the large service data resource allocation management method of the digital product includes, but is not limited to, at least one of electronic devices, such as a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the present application. In other words, the method for managing the large service data resource allocation of the digital product may be performed by software or hardware installed in the terminal device or the server device, and the software may be a block chain platform. The server 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 basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, web service, cloud communication, middleware service, domain name service, security service, content Delivery Network (CDN), and a big data and artificial intelligence platform.

Referring to fig. 1, a flowchart of a method for allocating and managing big service data resources of a digital product according to an embodiment of the present invention is shown. In this embodiment, the method for allocating and managing large service data resources of digital products includes:

s1, obtaining an interface frame of a digital product, and carrying out block configuration on the interface frame to obtain an intermediate product interface.

In the embodiment of the invention, the digital products include the products that the information content is carried in a bit stream mode through the Internet or exchanges based on a digital format, and the electronic products based on a digital technology or the electronic products that convert the information content into a digital form to be transmitted and received through a network or exist by depending on a certain physical carrier.

In detail, the digital products include, but are not limited to: information and entertainment products such as information products on paper, product information, image graphics, audio products, and video products; symbols, symbols and concepts, such as booking flight, concert, stadium, financial instruments such as cheques, electronic money, credit cards, etc.; processes and services such as government services, letter and fax electronic consumption, distance education and interactive services, digital cafes and interactive entertainment, etc.

In detail, the interface framework can be understood as an interface template, common interfaces usually include label navigation, rudder navigation, lattice navigation, focus navigation and the like, the framework focuses on the constraint and the support, a plurality of auxiliary and supporting convenient and easy-to-use practical tools can be provided for subsequently expanded components, and the interface framework can be provided with libraries or tools for solving certain problems.

In an embodiment of the present invention, the performing block allocation on the interface frame to obtain an intermediate product interface includes:

carrying out propaganda block configuration on the secondary digital product frame to obtain a tertiary digital product frame;

In detail, the retrieval block comprises a query retrieval interface of data resource conditions and query retrieval interfaces of various types of structured and unstructured data, supports various query modes such as accuracy/fuzziness, classification, combination, batch and the like, and supports information for returning data statistics summary information, judging whether query keywords hit or not, and data abstract or detail information.

In detail, the subscription block provides a subscription service, which includes: the method comprises the steps of comparison subscription, result query, subscription suspension and the like, wherein the comparison subscription is compared with structured or unstructured data according to input comparison conditions or preset rules, comparison result information is returned in real time when the comparison is consistent, the comparison subscription supports complete matching, keyword matching, regular matching and multi-condition logic combination matching, and the comparison subscription supports the expansion of capabilities of semantic matching, audio matching, image matching and the like.

In detail, the promotion block is used for showing the characteristics of the digital product and news related to the digital product.

In detail, the authentication block is a process of identifying the access right of the data based on an access control rule of the data, wherein the access control rule classifies four dimensions from content sensitivity, data source, data type, field and field relation to control the resource right, and the resource authentication realizes the access control of the data resource by using a data authentication service through the data resource right of the user.

S2, carrying out push service configuration on the intermediate product interface to obtain a configured digital product interface.

In the embodiment of the present invention, the intermediate product interface is obtained by performing some initial blocks on the interface frame, and a push service configuration needs to be performed on the intermediate product interface to obtain a desired digital product interface.

In detail, referring to fig. 2, the performing push service configuration on the intermediate product interface to obtain a configured digital product interface includes:

s21, obtaining a pushing rule of the intermediate product interface;

s22, carrying out rule analysis on the pushing rule to obtain the pushing data type and the pushing period of the intermediate product interface;

s23, packaging the push data type and the push period to obtain a push data packet;

and S24, carrying out pushing service configuration on the intermediate product interface according to the pushing data packet to obtain a configured digital product interface.

In detail, the push service is a basic core capability for data exchange and information push between nodes at all levels of a large data platform and between other departments inside and outside, and mainly comprises data aggregation and data distribution, wherein the data aggregation refers to the fact that data resources are aggregated from a lower end node to a middle end node and a node center as required or are led in from the outside in a single direction and are aggregated to corresponding data centers at all levels, and the data distribution refers to the fact that the data resources are distributed from the middle end data center to the lower end data center as required.

In detail, the push rule is to determine a push frequency and a push right for different target users according to the target users of the digital product, where the push right is to push when the target users set a blacklist or the target users are members, as the case may be.

In detail, the push cycle includes but is not limited to: one or more of daily, weekly, monthly, yearly, morning, noon, or afternoon.

And S3, rendering the configured digital product interface to obtain a visual interface of the digital product, and acquiring a large service data distribution request of a user according to the visual interface.

In an embodiment of the present invention, the digital production interface may be rendered by a rendering engine, and what the rendering engine does is present the requested content to the target user.

In an embodiment of the present invention, referring to fig. 3, the rendering the configured digital product interface to obtain a visual interface of the digital product includes:

s31, obtaining a rendering instruction of the configured digital product interface, and performing instruction analysis on the rendering instruction to obtain an interface content tree of the digital product interface;

s32, generating an interface rule tree according to the interface content tree, and constructing an interface rendering tree of the digital product interface by using the interface content tree and the interface rule tree;

s33, generating nodes of the interface rendering tree, and performing position layout on the digital product interface by using the nodes to obtain an interface block of the digital product interface;

and S34, drawing the interface block by using a preset user interface complete set element to obtain a visual interface of the digital product.

In detail, the rendering instruction is parsed by a rendering engine, which is responsible for parsing the content requested by the user, such as HTML or XML, and the rendering engine parses the HTML or XML and the related CSS, and then returns the parsed content.

In detail, the interface content tree is to analyze an HTML interface through a document objectification model, generate an HTML interface tree structure and a corresponding access method, and directly and simply operate each markup content on the HTML interface by means of the interface content tree, wherein the HTML plays a semantic role, that is, the interface content tree plays a semantic role.

In detail, the interface rule tree is a CSS object model, which is an objectified representation of a CSS style sheet, and a related API is provided to manipulate CSS styles, wherein CSS plays a role in presentation, i.e., the interface rule tree plays a role in presentation.

Furthermore, the CSS is a cascading style sheet, which is a computer language used to express file styles such as HTML or XML, and the CSS not only can statically modify a web page, but also can dynamically format each element of the web page in cooperation with various scripting languages; the HTML is a hypertext markup language and comprises a series of tags, the tags can unify the document format on the network, so that the dispersed Internet resources are connected into a logic whole, the HTML text is a descriptive text consisting of HTML commands, and the HTML commands can explain characters, graphs, animations, sounds, tables, links and the like; the XML is an extensible markup language, is a subset of standard general markup languages, can be used for marking data and defining data types, and is a source language allowing a user to define the own markup language.

In detail, the interface rendering tree is a series of rectangles with visual properties of font, color and size displayed on the screen in a preset order.

Furthermore, the position and the size of each rendering object are calculated according to the information of the rendering objects in the interface rendering tree, and the rendering objects are arranged at the correct position of the browser window, and sometimes the interface content is modified after the document layout is completed, the layout may need to be performed again at this time, and each rendering object has a layout or reflow method to realize the layout or reflow.

Further, the performing, by the node, a position layout on the digital product interface to obtain an interface block of the digital product interface includes: calculating the width of the digital product interface, traversing all interface sub-levels of the digital product interface, sequentially setting coordinates of the interface sub-levels, and judging whether the layout of the interface sub-levels needs to be triggered; and calculating the height of the interface sublevel, accumulating the height of the interface sublevel to obtain the accumulated height of the digital product interface, setting the digital product interface by using the accumulated height, and setting the dirty value of the digital product interface to FALSE.

In the embodiment of the invention, events in the running process of the embedded point monitoring interface are utilized, when the events needing attention occur, judgment and capture are carried out, then necessary context information is obtained, and finally the information is arranged and sent to the server side; and collecting receipts according to the buried points, tracking the application use condition and providing related data support for subsequent operation and product optimization.

In detail, in order to improve the efficiency and the usability of the site-burying work, an clumsy collection code program is not used for defining trigger conditions and subsequent behaviors of behavior collection, but the definition and the capture of key events are completed in a back-end configuration or front-end visual selection mode, and the like, a data monitoring tool generally tends to capture and send as much events and information as possible during monitoring, and the tasks of matching trigger conditions, performing statistical calculation and the like are performed at a data processing back end so as to better support the change of interest points and the backtracking of historical data.

In an embodiment of the present invention, the acquiring a large service data allocation request of a user according to the visual interface includes:

In detail, the target buried point element refers to some data information specifically collected in the interface, which is used for tracking the use condition of the interface block and providing data support for product operation, including but not limited to access number, visitor number, page stay time, page browsing number and click rate.

In the embodiment of the invention, the buried points can be stored in data storage such as a block chain, a database and the like; the elemental transformation of the buried point event can be achieved by a transformation function, such as an atoi function.

And S4, determining the resource allocation priority of the digital product, and generating a resource allocation sequence table of the digital product according to the resource allocation priority.

In this embodiment of the present invention, the step of generating the resource allocation sequence table of the digital product according to the resource allocation priority is to ensure high utilization rate of resources, enable all customers to have a chance to obtain required resources within a reasonable time, implement mutually exclusive use on non-sharable resources, and prevent deadlock caused by improper resource allocation.

In detail, the resource allocation priority is determined according to the urgency of a process requiring processing; the resource allocation sequence table is arranged according to the priority of the process from high to low, and the front-end process of the table is the highest priority.

In an embodiment of the present invention, the generating a resource allocation sequence table of the digital product according to the resource allocation priority includes:

generating a priority number according to the resource allocation priority of the digital product;

distributing preset time slices to different resource distribution tasks by using the priority number to obtain the task urgency of the resource distribution tasks;

and performing descending order arrangement on the task urgency degrees to obtain a resource allocation sequence table of the digital product.

In detail, the resource allocation priority is determined according to a priority number, wherein the determination method of the priority number can be divided into two types: a static priority method and a dynamic priority method; the static priority number method is that the priority number is assigned when the resource allocation task is established, and the priority number is unchanged when the resource allocation task runs; the dynamic priority number method creates a priority number when the resource allocation task is created, but the priority number can be dynamically changed in the life cycle, for example, the priority number can be changed when the waiting time is long.

In detail, the preset time slices are related to system response time, the number of ready processes and CPU capacity, and the time slices comprise fixed time slices and variable time slices.

And S5, generating a resource allocation live condition of the digital product by using the resource allocation sequence table, and performing large service data allocation of the user according to the large service data allocation request and the resource allocation live condition.

In the embodiment of the present invention, the resource deployment scenario refers to a processing situation of a resource allocation task of the digital product.

In an embodiment of the present invention, the generating a resource deployment scenario of the digital product by using the resource allocation sequence table includes:

and calculating the completion time of the classification task by using a set moving average algorithm, and generating a resource allocation live of the digital product according to the completion time.

In detail, the real-time task is determined by different resource allocation conditions of the digital product, and the priority of each resource is different.

In detail, obtaining a first predicted time of a first classification task according to a default value in a set moving average algorithm; obtaining a second predicted time of a second classification task according to the first actual consumed time; obtaining a third predicted time of a third classification task according to the average value of the first actual consumed time and the second actual consumed time; selecting the actual consumed time of the first N items adjacent to the target classification task according to the dimension of the sliding window, and when the actual consumed time number is smaller than the dimension of the sliding window, performing number filling on the actual consumed time by using a numerical value zero, wherein the actual consumed time number after filling is equal to the dimension of the sliding window, and N is smaller than or equal to the dimension of the sliding window; and carrying out mean value calculation on the actual consumed time after filling to obtain the prediction time of the target classification task.

Further, a default value is set to be 3, the dimension of the sliding window is 3, and the first actual consumed time is 3.000 when being monitored; from the first actual elapsed time being 3.000, a second predicted time of 3.000 can be inferred; the second actual elapsed time was monitored to be 3.100 and the third predicted time could be inferred to be 3.050; a third actual elapsed time of 3.000 was monitored and a fourth predicted time of 3.033 could be inferred.

In detail, the moving average algorithm is a method for eliminating accidental variation factors, finding out the development trend of things and predicting according to the development trend by sequentially increasing and decreasing new and old data period by period on the basis of a simple average method, and the moving average method is a method for realizing the principle of 'weight near and far', wherein the recent data is given larger weight and the far data is given smaller weight by adding small weight to the data, so that the effect of the recent data is strengthened and the influence of the far data is weakened.

In this embodiment of the present invention, the allocating the big service data of the user according to the big service data allocation request and the resource deployment scenario includes:

In detail, the request identifier is generated to distinguish different large service data allocation requests, and may perform keyword extraction on the large service data allocation requests to obtain request identifiers of different sub-allocation tasks in the large service data allocation requests, where the request identifiers have uniqueness.

In detail, the task progress of the classification task may be visually displayed by using a progress bar, for example: and a red part on the progress bar displays an incomplete part, a green part displays a complete part, the execution time of the sub-allocation request is determined according to the red part, and the resource with shorter execution time is allocated preferentially.

The embodiment of the invention obtains the configured digital product interface by carrying out block configuration on the interface frame of the digital product and pushing service configuration on the interface frame after the block configuration, better defines the functions and block advantages contained in the digital product interface, and carries out interface rendering on the configured digital product interface, so that the configured digital product interface is more attractive and readable, a large service data distribution request of a user is obtained by using a buried point, an clumsy acquisition code programming is not used for defining trigger conditions and subsequent behaviors for behavior acquisition, and the definition and capture of key events are completed by means of rear-end configuration or front-end visual selection and the like, so that the change of focus points and the backtracking of historical data can be better supported, the practice information of a resource distribution task of the digital product is obtained by using a progress bar, the visual display of the information is realized, the reading of the information is facilitated, and the distribution efficiency of data resources is accelerated.

Fig. 4 is a functional block diagram of a device for allocating and managing large service data resources of a digital product according to an embodiment of the present invention.

The device 100 for allocating and managing big service data resources of digital products according to the present invention can be installed in an electronic device. According to the realized functions, the big service data resource allocation management device 100 of the digital product may include a block configuration module 101, a service configuration module 102, an interface rendering module 103, a priority allocation module 104, and a deployment live module 105. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.

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

the block configuration module 101 is configured to obtain an interface frame of a digital product, and perform block configuration on the interface frame to obtain an intermediate product interface;

the service configuration module 102 is configured to perform push service configuration on the intermediate product interface to obtain a configured digital product interface;

the interface rendering module 103 is configured to render the configured digital product interface to obtain a visual interface of the digital product, and obtain a large service data allocation request of a user according to the visual interface;

the priority allocation module 104 is configured to determine a resource allocation priority of the digital product, and generate a resource allocation sequence table of the digital product according to the resource allocation priority;

the deployment live condition module 105 is configured to generate a resource deployment live condition of the digital product by using the resource allocation sequence table, and perform a large service data allocation of a user according to the large service data allocation request and the resource deployment live condition.

Fig. 5 is a schematic structural diagram of an electronic device for implementing a method for allocating and managing large service data resources of a digital product according to an embodiment of the present invention.

The electronic device may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program, such as a big service data resource allocation management program of a digital product, stored in the memory 11 and operable on the processor 10.

In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is a control unit (control unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (for example, executing a large service data resource allocation management program of a digital product, etc.) stored in the memory 11 and calling data stored in the memory 11.

The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart card (SMC), a Secure Digital (SD) card, a flash card (FlashCard), and the like 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 to store application software installed in the electronic device and various types of data, such as codes of a large service data resource allocation management program of a digital product, etc., but also to temporarily store data that has been output or will be output.

The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.

The communication interface 13 is used for communication between the electronic device and other devices, and includes 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.), which are commonly 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), and optionally 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 device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.

Only electronic devices having components are shown, and those skilled in the art will appreciate that the structures shown in the figures do not constitute limitations on the electronic devices, and may include fewer or more components than shown, or some components in combination, or a different arrangement of components.

For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply 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 realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.

It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.

The memory 11 in the electronic device stores a management program for allocating large service data resources of digital products, which is a combination of a plurality of instructions that, when executed in the processor 10, can realize:

carrying out push service configuration on the intermediate product interface to obtain a configured digital product interface;

Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.

Further, the electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic diskette, an optical disk, a computer memory, a Read-only memory (ROM).

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

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

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 attributes 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 block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

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

Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for managing large service data resource allocation of digital products, the method comprising:

2. The method as claimed in claim 1, wherein the block allocating the interface frame to obtain an intermediate product interface comprises:

and carrying out authentication block configuration on the three-level digital product framework to obtain an intermediate product interface.

3. The method for allocating and managing big service data resources according to claim 1, wherein the step of performing push service configuration on the intermediate product interface to obtain a configured digital product interface comprises:

acquiring a pushing rule of the intermediate product interface;

packaging the push data type and the push period to obtain a push data packet;

4. The method for managing big service data resource allocation according to claim 1, wherein the rendering the configured digital product interface to obtain a visual interface of the digital product comprises:

5. The method for allocating and managing big service data resources according to claim 1, wherein the acquiring a big service data allocation request of a user according to the visual interface comprises:

adding the target embedded point element to a key node in the visual interface to complete embedding points;

6. The big service data resource allocation management method of claim 1, wherein the generating the live resource allocation of the digital product using the resource allocation sequence table comprises:

7. The method for managing large service data resource allocation according to any one of claims 1 to 6, wherein the large service data allocation of the user according to the large service data allocation request and the resource deployment scenario comprises:

8. An apparatus for resource allocation management of large service data of digital products, the apparatus comprising:

the service configuration module is used for carrying out pushing service configuration on the intermediate product interface to obtain a configured digital product interface;

the priority allocation module is used for determining the resource allocation priority of the digital product and generating a resource allocation sequence list of the digital product according to the resource allocation priority;

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of big service data resource allocation management of a digital product according to any of claims 1 to 7.