CN113821522B - Intelligent enterprise business management method and system based on big data technology - Google Patents
Intelligent enterprise business management method and system based on big data technology Download PDFInfo
- Publication number
- CN113821522B CN113821522B CN202111106105.1A CN202111106105A CN113821522B CN 113821522 B CN113821522 B CN 113821522B CN 202111106105 A CN202111106105 A CN 202111106105A CN 113821522 B CN113821522 B CN 113821522B
- Authority
- CN
- China
- Prior art keywords
- service
- interface
- enterprise
- business
- interfaces
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007726 management method Methods 0.000 title claims abstract description 32
- 238000005516 engineering process Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 53
- 230000000977 initiatory effect Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 7
- 230000004931 aggregating effect Effects 0.000 claims description 5
- 238000007667 floating Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000013523 data management Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The business intelligent management method and the business intelligent management system based on the big data technology can obtain business interface access data among all business interfaces based on business relations among business interface scene characteristics of the business interfaces in the business interface access process, so that the business relations of the business interface access data are ensured to be considered. Based on the service update firmware monitored by any enterprise service interface, the service update firmware monitored by the enterprise service interface which is communicated with the enterprise service interface can be converged, the reliability of the service update firmware is ensured, and therefore, the service update instruction for service update is determined based on the service update firmware convergence result, and the service update efficiency and accuracy can be improved.
Description
Technical Field
The application relates to the technical field of business management of big data enterprises, in particular to an enterprise business intelligent management method and system based on big data technology.
Background
Under the age of rapid development of information technology at present, with gradual expansion of data volume, a common enterprise business management platform cannot meet huge data volume, and the birth of large data technology provides a reliable mode for enterprise management. The enterprise owner data is data for describing enterprise core business entities, refers to data to be shared among all systems in the whole enterprise scope, is an advanced form of data management, enables enterprises to effectively manage data stored in a distributed system, and is a key factor for solving the problems of different enterprise data rules, low maintenance quality, information isolation and the like.
For business interfaces for enterprise intelligent big data management, firmware update can affect business operation reliability. In the related art, how to improve the service update efficiency and accuracy is a technical problem to be solved.
Disclosure of Invention
In order to improve the technical problems in the related technology, the application provides an enterprise business intelligent management method and system based on a big data technology.
In a first aspect, an exemplary manner of the present application provides an enterprise business intelligent management method based on big data technology, which is applied to an enterprise business intelligent management system, and the method includes: according to business interface access data among a plurality of business interfaces which are set in advance, determining a connected business interface which initiates business interface access data with a current business interface, wherein the current business interface is a business interface of business update mirror image data of business update monitored in the plurality of business interfaces; converging the service update mirror image data with the service update firmware of the service update monitored by the service interface of the connected enterprise; determining a service update instruction for the service update based on a service update firmware convergence result; the method for obtaining the service interface access data comprises the following steps: determining service interface scene characteristics of each enterprise service interface in the enterprise service interfaces, analyzing whether service connection is initiated in the service interface access process according to each two enterprise service interfaces in the enterprise service interfaces, and if the service interface scene characteristics of the two enterprise service interfaces are determined to initiate service connection in the service interface access process, acquiring service interface access data between the two enterprise service interfaces.
In an exemplary manner, the determining the service interface scenario feature of each of the plurality of enterprise service interfaces includes: for each enterprise service interface, determining an access stage and a first access situation of service update accessing service interface scene characteristics of the enterprise service interface based on extended service update firmware of service update obtained by the enterprise service interface; based on an extended service update firmware of the service update obtained by a preset access situation service, determining a second access situation corresponding to the service update in the access stage; and determining service interface scene characteristics of the enterprise service interface based on the situation floating information between the first access situation and the second access situation.
In an exemplary manner, the analyzing whether the service interface scene features of the two enterprise service interfaces initiate service association in the service interface access process includes: analyzing whether service interface scene characteristics of the rest of the service interfaces exist between the service interface scene characteristics of the two service interfaces, wherein the rest of the service interfaces are the service interfaces except the two service interfaces in the plurality of service interfaces; if the service interface scene characteristics of the rest enterprise service interfaces are not determined to exist between the service interface scene characteristics of the two enterprise service interfaces, determining that the service interface scene characteristics of the two enterprise service interfaces initiate service connection in the service interface access process; if the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the two enterprise service interfaces, determining that the service interface scene characteristics of the two enterprise service interfaces do not initiate service contact in the service interface access process;
correspondingly, the interface time-space domains of the enterprise business interfaces are optimized in advance; the analyzing whether the service interface scene features of the rest of the enterprise service interfaces exist between the service interface scene features of the two enterprise service interfaces includes: determining a leaving time-space domain node of a business interface scene feature of a business update leaving a first business interface based on an extended business update firmware of the business update obtained by the first business interface, wherein the first business interface is any business interface in the plurality of business interfaces; determining an entering time-space domain node of the business update entering the business interface scene feature of a second business interface based on the extended business update firmware of the business update obtained by the second business interface, wherein the second business interface is any business interface which is identified to the business update after the business update enters the business interface scene feature of the first business interface except the first business interface; and analyzing whether service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface based on the leaving time-space domain node and the entering time-space domain node.
In an exemplary manner, the analyzing, based on the leaving time-space domain node and the entering time-space domain node, whether service interface scene features of the remaining enterprise service interfaces exist between service interface scene features of the first enterprise service interface and the second enterprise service interface includes: analyzing whether the leaving time-space domain node is arranged behind the entering time-space domain node; and if the leaving time-space domain node is determined and then is arranged at the entering time-space domain node, determining that the service interface scene characteristics of the rest of the service interfaces do not exist between the service interface scene characteristics of the first service interfaces and the second service interfaces.
In an exemplary manner, the analyzing, based on the leaving time-space domain node and the entering time-space domain node, whether service interface scene features of the remaining enterprise service interfaces exist between service interface scene features of the first enterprise service interface and the second enterprise service interface includes: analyzing whether the entering time-space domain node is arranged behind the leaving time-space domain node or not, wherein the cost value between the entering time-space domain node and the leaving time-space domain node is larger than the target cost value; and if the entering time-space domain node is determined to be arranged at the leaving time-space domain node and the cost value between the entering time-space domain node and the leaving time-space domain node is larger than the target cost value, determining that the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface.
In an exemplary manner, the method further comprises: and determining access situation related characteristics of each two enterprise business interfaces in the plurality of enterprise business interfaces based on the access situations of the two enterprise business interfaces.
In an exemplary manner, the method further comprises: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface of the enterprise service interface initiation service interface access data, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the enterprise service interface of the enterprise service interface initiation service interface access data after leaving the enterprise service interface.
In an exemplary manner, the method further comprises: determining a service update track vector of the service update in the service update mirror data; based on the access situation related characteristics among the plurality of enterprise service interfaces which are set in advance, determining an enterprise service interface meeting a target condition from the connected enterprise service interfaces, wherein the state requirement is that the correlation degree between the access situation related characteristics among the enterprise service interface and the current enterprise service interface and the service update track vector is larger than the target correlation degree; the step S of determining the access situation related features is as follows: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface for initiating service interface access data of the connected enterprise service interface, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the service interface for initiating service interface access data of the enterprise service interface after leaving the enterprise service interface;
the aggregating the service update mirror data with the service update firmware of the service update monitored by the service interface of the connected enterprise includes: and converging the service update mirror image data with service update firmware of the service update monitored by the enterprise service interface.
In an exemplary manner, the method further comprises: based on the business update relation between the current business interface and each business interface which is set in advance, determining the business interface with the largest business update relation strength with the current business interface from the connected business interfaces; the service update relation is determined in the following manner: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface for initiating service interface access data of the connected enterprise service interface, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the service interface for initiating service interface access data of the enterprise service interface after leaving the enterprise service interface;
the aggregating the service update mirror data with the service update firmware of the service update monitored by the service interface of the connected enterprise includes: and converging the service update mirror image data with service update firmware of the service update monitored by the enterprise service interface.
In a second aspect, the present application further provides an enterprise business intelligent management system, including a processor and a memory; the processor is in communication with the memory, and the processor is configured to read the computer program from the memory and execute the computer program to implement the method described above.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary ways consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic hardware structure of an enterprise business intelligent management system according to an exemplary manner provided in the present application.
Fig. 2 is a schematic flow chart of an enterprise business intelligent management method based on big data technology according to an exemplary mode of the application.
Detailed Description
Exemplary modes will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the following exemplary manner do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided by the embodiments of the present application may be implemented in an enterprise business intelligent management system, a computer device, or similar computing devices. Taking an example of running on an enterprise business intelligent management system, fig. 1 is a hardware structure block diagram of the enterprise business intelligent management system implementing an enterprise business intelligent management method based on big data technology according to an embodiment of the present application. As shown in fig. 1, the enterprise business intelligence management system 10 may include one or more processors 102 (only one is shown in fig. 1) (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, and optionally, a transmission device 106 for communication functions. It will be appreciated by those skilled in the art that the architecture shown in fig. 1 is merely illustrative, and is not intended to limit the architecture of the enterprise business intelligent management system. For example, enterprise business intelligence management system 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to an enterprise business intelligent management method based on big data technology in the exemplary manner of the present application, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the method described above. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located with respect to the processor 102, which may be connected to the security policy determination system 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. The specific examples of networks described above may include wireless networks provided by the communication providers of the enterprise business intelligence management system 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
Based on this, referring to fig. 2, fig. 2 is a flow chart of an enterprise business intelligent management method based on big data technology according to an embodiment of the present invention, where the method is applied to an enterprise business intelligent management system, and further may include the following technical schemes described in the following.
Step S101, according to business interface access data among a plurality of business interfaces set in advance, determining a connected business interface which initiates business interface access data with a current business interface, wherein the current business interface is a business interface of business update mirror image data of business update monitored in the plurality of business interfaces.
Step S102, the service update mirror image data is converged with the service update firmware of the service update monitored by the service interface of the connected enterprise; and determining a service update instruction for the service update based on the service update firmware convergence result.
In an exemplary manner, the method for obtaining the service interface access data includes: determining service interface scene characteristics of each of a plurality of enterprise service interfaces, analyzing whether service connection is initiated in the service interface access process according to each two enterprise service interfaces in the plurality of enterprise service interfaces, and if the service connection scene characteristics of the two enterprise service interfaces are determined to initiate the service connection in the service interface access process, acquiring service interface access data between the two enterprise service interfaces.
In an exemplary manner, the determining service interface scenario features of each of the plurality of enterprise service interfaces may specifically include: for each enterprise service interface, determining an access stage and a first access situation of service update accessing service interface scene characteristics of the enterprise service interface based on extended service update firmware of service update obtained by the enterprise service interface; based on an extended service update firmware of the service update obtained by a preset access situation service, determining a second access situation corresponding to the service update in the access stage; and determining service interface scene characteristics of the enterprise service interface based on the situation floating information between the first access situation and the second access situation. Thus, the situation floating information between the first access situation and the second access situation is used for determining the service interface scene characteristics of the enterprise service interface.
In an exemplary manner, the analysis of whether the service interface scene features of the two enterprise service interfaces initiate service association in the service interface access process described above may specifically include the following steps S31-S33.
Step S31, analyzing whether service interface scene characteristics of the rest of the service interfaces exist between the service interface scene characteristics of the two service interfaces, wherein the rest of the service interfaces are the service interfaces except the two service interfaces in the plurality of service interfaces.
In an exemplary manner, the interface time-space domains of the plurality of enterprise business interfaces are optimized in advance. Based on this, the analysis, recorded in step S31, of whether there are service interface scene features of the remaining enterprise service interfaces between the service interface scene features of the two enterprise service interfaces may specifically include the following contents recorded in steps S311-S313:
step S311, determining a leaving time-space domain node of a service interface scene feature of a first enterprise service interface, where the service update leaves the first enterprise service interface, based on an extended service update firmware of a service update obtained by the first enterprise service interface, and the first enterprise service interface is any enterprise service interface in the plurality of enterprise service interfaces.
Step S312, based on the extended service update firmware of the service update obtained by the second enterprise service interface, determining that the service update enters a time-space domain node entering the service interface scene feature of the second enterprise service interface, where the second enterprise service interface is any enterprise service interface, except the first enterprise service interface, that identifies the service update after the service update enters the service interface scene feature of the first enterprise service interface.
Step S313, based on the leaving time-space domain node and the entering time-space domain node, analyzing whether there are service interface scene features of the remaining enterprise service interfaces between the service interface scene features of the first enterprise service interface and the second enterprise service interface.
And executing the contents recorded in the steps S311-S313, analyzing whether the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface based on the leaving time-space domain node and the entering time-space domain node, so that the service interface scene characteristics of the rest enterprise service interfaces are more accurately analyzed, and further providing a basis for not initiating service contact in the service interface access process for the subsequent analysis of the service interface scene characteristics of the two enterprise service interfaces.
In an exemplary manner, the analyzing whether the service interface scene features of the remaining enterprise service interfaces exist between the service interface scene features of the first enterprise service interface and the service interface scene features of the second enterprise service interface based on the leaving time-space domain node and the entering time-space domain node described in step S313 may specifically include the following two exemplary manners.
In a first exemplary manner, analyzing whether the exiting time-space domain node is post-positioned to the entering time-space domain node; and if the leaving time-space domain node is determined and then is arranged at the entering time-space domain node, determining that the service interface scene characteristics of the rest of the service interfaces do not exist between the service interface scene characteristics of the first service interfaces and the second service interfaces.
In a second exemplary manner, analyzing whether the entering time-space domain node is post-positioned at the exiting time-space domain node and a cost value between the entering time-space domain node and the exiting time-space domain node is greater than a target cost value; and if the entering time-space domain node is determined to be arranged at the leaving time-space domain node and the cost value between the entering time-space domain node and the leaving time-space domain node is larger than the target cost value, determining that the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface.
Step S32, if it is determined that the service interface scene features of the rest enterprise service interfaces do not exist between the service interface scene features of the two enterprise service interfaces, it is determined that the service interface scene features of the two enterprise service interfaces initiate service connection in the service interface access process.
Step S33, if it is determined that the service interface scene features of the rest of the enterprise service interfaces exist between the service interface scene features of the two enterprise service interfaces, it is determined that the service interface scene features of the two enterprise service interfaces do not initiate service contact in the service interface access process.
And executing the steps S31-S33, and analyzing that the service interface scene characteristics of the two enterprise service interfaces do not initiate service connection in the service interface access process on the premise that the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the two enterprise service interfaces, so that the accuracy of the analyzed results can be ensured.
In an exemplary manner, the enterprise business intelligent management method based on the big data technology specifically further comprises the following steps: and determining access situation related characteristics of each two enterprise business interfaces in the plurality of enterprise business interfaces based on the access situations of the two enterprise business interfaces.
In an exemplary manner, the enterprise business intelligent management method based on the big data technology specifically further comprises the following steps: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface of the enterprise service interface initiation service interface access data, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the enterprise service interface of the enterprise service interface initiation service interface access data after leaving the enterprise service interface.
In an exemplary manner, the enterprise business intelligent management method based on the big data technology specifically further comprises the following steps: determining a service update track vector of the service update in the service update mirror data;
and determining the enterprise business interfaces meeting the target condition from the connected enterprise business interfaces based on the access situation related characteristics among the plurality of enterprise business interfaces which are set in advance, wherein the state requirement is that the correlation degree between the access situation related characteristics among the enterprise business interfaces and the current enterprise business interfaces and the business update track vector is larger than the target correlation degree. Therefore, the enterprise business interface meeting the target condition can be determined from the dimension, and the accuracy of the enterprise business interface can be improved.
In an exemplary manner, the determining step S of the access situation related feature may specifically include: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface for initiating service interface access data of the connected enterprise service interface, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the service interface for initiating service interface access data of the enterprise service interface after leaving the enterprise service interface.
Further, the aggregating the service update mirror data with the service update firmware of the service update monitored by the service interface of the connected enterprise in step S102 may specifically include: and converging the service update mirror image data with service update firmware of the service update monitored by the enterprise service interface.
In an exemplary manner, the enterprise business intelligent management method based on the big data technology specifically further comprises the following steps: and determining the enterprise business interface with the highest business update relation strength with the current enterprise business interface from the connected enterprise business interfaces based on the business update relation between the current enterprise business interface and each enterprise business interface which is set in advance.
In an exemplary manner, the determining manner of the service update relationship may specifically be: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface for initiating service interface access data of the connected enterprise service interface, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the service interface for initiating service interface access data of the enterprise service interface after leaving the enterprise service interface.
Further, the aggregating the service update mirror data with the service update firmware of the service update monitored by the service interface of the connected enterprise in step S102 includes: and converging the service update mirror image data with service update firmware of the service update monitored by the enterprise service interface.
Based on the above steps, the embodiment can obtain the business interface access data between each business interface based on the business connection between the business interface scene characteristics of the business interfaces in the business interface access process, so as to ensure that the business connection of the business interface access data is considered. Based on the service update firmware monitored by any enterprise service interface, the service update firmware monitored by the enterprise service interface which is communicated with the enterprise service interface can be converged, the reliability of the service update firmware is ensured, and therefore, the service update instruction for service update is determined based on the service update firmware convergence result, and the service update efficiency and accuracy can be improved.
Further, there is also provided a readable storage medium having stored thereon a program which when executed by a processor implements the above-described method.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus and method embodiments described above are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a media service server 10, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (9)
1. An enterprise business intelligent management method based on big data technology is characterized by being applied to an enterprise business intelligent management system, and comprises the following steps:
according to business interface access data among a plurality of business interfaces which are set in advance, determining a connected business interface which initiates business interface access data with a current business interface, wherein the current business interface is a business interface of business update mirror image data of business update monitored in the plurality of business interfaces;
converging the service update mirror image data with the service update firmware of the service update monitored by the service interface of the connected enterprise; determining a service update instruction for the service update based on a service update firmware convergence result;
the method for obtaining the service interface access data comprises the following steps: determining service interface scene characteristics of each enterprise service interface in the enterprise service interfaces, analyzing whether service connection is initiated in the service interface access process according to each two enterprise service interfaces in the enterprise service interfaces, and if the service interface scene characteristics of the two enterprise service interfaces are determined to initiate service connection in the service interface access process, acquiring service interface access data between the two enterprise service interfaces.
2. The method of claim 1, wherein the determining the business interface scenario characteristic of each of the plurality of business interfaces comprises:
for each enterprise service interface, determining an access stage and a first access situation of service update accessing service interface scene characteristics of the enterprise service interface based on extended service update firmware of service update obtained by the enterprise service interface;
based on an extended service update firmware of the service update obtained by a preset access situation service, determining a second access situation corresponding to the service update in the access stage;
and determining service interface scene characteristics of the enterprise service interface based on the situation floating information between the first access situation and the second access situation.
3. The method of claim 1, wherein analyzing whether the business interface scene features of the two enterprise business interfaces initiate business association during business interface access comprises:
analyzing whether service interface scene characteristics of the rest of the service interfaces exist between the service interface scene characteristics of the two service interfaces, wherein the rest of the service interfaces are the service interfaces except the two service interfaces in the plurality of service interfaces;
if the service interface scene characteristics of the rest enterprise service interfaces are not determined to exist between the service interface scene characteristics of the two enterprise service interfaces, determining that the service interface scene characteristics of the two enterprise service interfaces initiate service connection in the service interface access process;
if the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the two enterprise service interfaces, determining that the service interface scene characteristics of the two enterprise service interfaces do not initiate service contact in the service interface access process;
the interface time-space domains of the enterprise business interfaces are optimized in advance; the analyzing whether the service interface scene features of the rest of the enterprise service interfaces exist between the service interface scene features of the two enterprise service interfaces includes:
determining a leaving time-space domain node of a business interface scene feature of a business update leaving a first business interface based on an extended business update firmware of the business update obtained by the first business interface, wherein the first business interface is any business interface in the plurality of business interfaces;
determining an entering time-space domain node of the business update entering the business interface scene feature of a second business interface based on the extended business update firmware of the business update obtained by the second business interface, wherein the second business interface is any business interface which is identified to the business update after the business update enters the business interface scene feature of the first business interface except the first business interface;
and analyzing whether service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface based on the leaving time-space domain node and the entering time-space domain node.
4. The method of claim 3, wherein said analyzing whether traffic interface scene features of the remaining enterprise traffic interfaces exist between traffic interface scene features of the first enterprise traffic interface and the second enterprise traffic interface based on the exiting time-space domain node and the entering time-space domain node comprises:
analyzing whether the leaving time-space domain node is arranged behind the entering time-space domain node;
and if the leaving time-space domain node is determined and then is arranged at the entering time-space domain node, determining that the service interface scene characteristics of the rest of the service interfaces do not exist between the service interface scene characteristics of the first service interfaces and the second service interfaces.
5. The method of claim 3, wherein said analyzing whether traffic interface scene features of the remaining enterprise traffic interfaces exist between traffic interface scene features of the first enterprise traffic interface and the second enterprise traffic interface based on the exiting time-space domain node and the entering time-space domain node comprises:
analyzing whether the entering time-space domain node is arranged behind the leaving time-space domain node or not, wherein the cost value between the entering time-space domain node and the leaving time-space domain node is larger than the target cost value;
and if the entering time-space domain node is determined to be arranged at the leaving time-space domain node and the cost value between the entering time-space domain node and the leaving time-space domain node is larger than the target cost value, determining that the service interface scene characteristics of the rest enterprise service interfaces exist between the service interface scene characteristics of the first enterprise service interface and the service interface scene characteristics of the second enterprise service interface.
6. The method of claim 1, wherein the method further comprises:
and determining access situation related characteristics of each two enterprise business interfaces in the plurality of enterprise business interfaces based on the access situations of the two enterprise business interfaces.
7. The method of claim 1, wherein the method further comprises:
for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface of the enterprise service interface initiation service interface access data, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the enterprise service interface of the enterprise service interface initiation service interface access data after leaving the enterprise service interface.
8. The method of claim 1, wherein the method further comprises:
based on the business update relation between the current business interface and each business interface which is set in advance, determining the business interface with the largest business update relation strength with the current business interface from the connected business interfaces;
the service update relation is determined in the following manner: for each enterprise service interface in the enterprise service interfaces, determining a plurality of extended service update firmware obtained based on the detected service update, and obtaining a service update relation between the enterprise service interface and each enterprise service interface for initiating service interface access data of the connected enterprise service interface, wherein the service update relation is used for representing a service update metric value of each enterprise service interface entering the service interface for initiating service interface access data of the enterprise service interface after leaving the enterprise service interface;
the aggregating the service update mirror data with the service update firmware of the service update monitored by the service interface of the connected enterprise includes: and converging the service update mirror image data with service update firmware of the service update monitored by the enterprise service interface.
9. An enterprise business intelligent management system is characterized by comprising a processor and a memory; the processor being communicatively connected to the memory, the processor being adapted to read a computer program from the memory and execute it to carry out the method of any of the preceding claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111106105.1A CN113821522B (en) | 2021-09-22 | 2021-09-22 | Intelligent enterprise business management method and system based on big data technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111106105.1A CN113821522B (en) | 2021-09-22 | 2021-09-22 | Intelligent enterprise business management method and system based on big data technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113821522A CN113821522A (en) | 2021-12-21 |
| CN113821522B true CN113821522B (en) | 2023-05-12 |
Family
ID=78915040
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111106105.1A Active CN113821522B (en) | 2021-09-22 | 2021-09-22 | Intelligent enterprise business management method and system based on big data technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113821522B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101771762A (en) * | 2009-01-06 | 2010-07-07 | 北京邮电大学 | Method and system for dynamically loading services in service system |
| WO2019124826A1 (en) * | 2017-12-20 | 2019-06-27 | 삼성전자 주식회사 | Interface device having updatable firmware, mobile device, and firmware update method |
| CN111786820A (en) * | 2020-06-16 | 2020-10-16 | 浙江国利网安科技有限公司 | Firmware updating method and device and network equipment |
| CN112088340A (en) * | 2018-05-11 | 2020-12-15 | 西门子工业公司 | Automatic system and method for updating firmware on an industrial device |
| CN112631630A (en) * | 2020-12-25 | 2021-04-09 | 北京搜房科技发展有限公司 | Service configuration updating method and device |
-
2021
- 2021-09-22 CN CN202111106105.1A patent/CN113821522B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101771762A (en) * | 2009-01-06 | 2010-07-07 | 北京邮电大学 | Method and system for dynamically loading services in service system |
| WO2019124826A1 (en) * | 2017-12-20 | 2019-06-27 | 삼성전자 주식회사 | Interface device having updatable firmware, mobile device, and firmware update method |
| CN112088340A (en) * | 2018-05-11 | 2020-12-15 | 西门子工业公司 | Automatic system and method for updating firmware on an industrial device |
| CN111786820A (en) * | 2020-06-16 | 2020-10-16 | 浙江国利网安科技有限公司 | Firmware updating method and device and network equipment |
| CN112631630A (en) * | 2020-12-25 | 2021-04-09 | 北京搜房科技发展有限公司 | Service configuration updating method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113821522A (en) | 2021-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102185365B1 (en) | method and apparatus for connecting terminals and Access Point apparatus among plural of Access Point apparatus which are located on the same network | |
| CN103460203B (en) | cluster unique identifier | |
| US20190342797A1 (en) | Method and migration managing module for managing a migration of a service | |
| CN108337110B (en) | Virtual resource management method and device and computer readable storage medium | |
| CN110909373B (en) | Access control method, equipment, system and storage medium | |
| WO2017125025A1 (en) | Call method, device, system, and storage medium | |
| EP3493472B1 (en) | Network function (nf) management method and nf management device | |
| WO2022062639A1 (en) | Data transmission method and apparatus, and electronic device and storage medium | |
| CN107835498B (en) | Method and equipment for managing user | |
| CN105531977A (en) | Mobile device connection control for synchronization and remote data access | |
| WO2022116797A1 (en) | Sim card selection method and apparatus, and terminal and storage medium | |
| CN104113870A (en) | Network testing method and mobile terminal | |
| US20160028832A1 (en) | Methods and systems for efficient discovery of devices in a peer-to-peer network | |
| CN116097691A (en) | Service request handling | |
| CN117121453A (en) | Apparatus, method and computer program for managing requests for cognitive network functions and/or machine learning models | |
| CN108738027B (en) | Network processing method, resource management system and network equipment | |
| CN113839882B (en) | Message flow splitting method and device | |
| CN113821522B (en) | Intelligent enterprise business management method and system based on big data technology | |
| CN108900603A (en) | A kind of server discovery methods, devices and systems | |
| CN110635927B (en) | Node switching method, network node and network system | |
| CN112312420B (en) | Method and device for processing and configuring minimization of drive test, terminal and network side equipment | |
| WO2019148681A1 (en) | Method for controlling user equipment to perform duplicate transmission in communication system and equipment thereof | |
| CN117014315A (en) | Network management method, device, system and storage medium | |
| CN104394059A (en) | Station establishing method and system based on social application | |
| EP3585034B1 (en) | Big data-based method for learning and protecting service logic and device for learning and protection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231115 Address after: Room 105-3, No. 389 Jinwan Road, China (Shanghai) Pilot Free Trade Zone, Pudong New Area, Shanghai, August 2012 Patentee after: Luming Society (Shanghai) Enterprise Consulting Co.,Ltd. Address before: 224000 middle road of hope Avenue, Yancheng City, Jiangsu Province, No. 1 Patentee before: YANCHENG INSTITUTE OF TECHNOLOGY |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231216 Address after: Room 2121, No. 51, Jinzang Road, China (Shanghai) Pilot Free Trade Zone, Pudong New Area, Shanghai, 201208 Patentee after: Shanghai Shunzhong Ecological Energy Technology Co.,Ltd. Address before: Room 105-3, No. 389 Jinwan Road, China (Shanghai) Pilot Free Trade Zone, Pudong New Area, Shanghai, August 2012 Patentee before: Luming Society (Shanghai) Enterprise Consulting Co.,Ltd. |
|
| TR01 | Transfer of patent right |