CN116777376A - Saas system applied to intelligent middle station of enterprise - Google Patents
Saas system applied to intelligent middle station of enterprise Download PDFInfo
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- CN116777376A CN116777376A CN202310740735.7A CN202310740735A CN116777376A CN 116777376 A CN116777376 A CN 116777376A CN 202310740735 A CN202310740735 A CN 202310740735A CN 116777376 A CN116777376 A CN 116777376A
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- 238000012545 processing Methods 0.000 claims abstract description 115
- 230000003993 interaction Effects 0.000 claims abstract description 77
- 238000013523 data management Methods 0.000 claims abstract description 14
- 238000002955 isolation Methods 0.000 claims description 37
- 238000013500 data storage Methods 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 12
- 230000002452 interceptive effect Effects 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 9
- 230000011218 segmentation Effects 0.000 claims description 9
- 238000000926 separation method Methods 0.000 claims description 9
- 230000005484 gravity Effects 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 8
- 238000012423 maintenance Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000012163 sequencing technique Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
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- 238000005192 partition Methods 0.000 description 2
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- 238000011156 evaluation Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007474 system interaction Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
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- 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
- G06Q10/103—Workflow collaboration or project management
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
Abstract
The invention provides a saas system applied to an intelligent middle station of an enterprise, which comprises: the interaction module is used for receiving an interaction instruction input by a user at a foreground client; the data management module is used for obtaining operation logic of a user according to the interaction instruction, confirming effective authority for accessing the cloud data of the background of the enterprise, and obtaining effective service data based on the effective authority; and the data processing module is used for processing the interaction instruction based on the effective service data to obtain a processing result and returning the processing result to the foreground client. The invention reduces the background data processing pressure, reduces the maintenance cost of the middle platform of the enterprise, accelerates the response efficiency of the operation of the front platform, improves the business processing capacity of the enterprise and improves the user experience.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a saas system applied to an intelligent middle platform of an enterprise.
Background
The foreground is the front-end platform of the system and is the application layer that interacts directly with the end user. The background is the back-end platform of the system where the end user is unaware of his presence. The value of the background is the core data of the storage and computing enterprise. The change in user demand determines that the foreground system needs to respond to the user demand in a quick iteration, while the change in the front end needs to be supported by the change in the back end, so that the requirement for quick strain in the background is created. The initial core purpose of the background is not to serve the foreground, but to promote the security of the back-end data and the management efficiency of the system, so that the foreground and the background of an enterprise generate demand contradictions, the middle-stage operation occurs, but the development and the maintenance of the middle-stage system usually take longer time and cost, so that the saas system applied to the intelligent middle-stage of the enterprise is provided.
Disclosure of Invention
The saas system applied to the intelligent middle station of the enterprise is used for reducing the background data processing pressure, reducing the maintenance cost of the middle station of the enterprise, accelerating the operation response efficiency of the front station, improving the business processing capacity of the enterprise and improving the user experience.
The invention provides a saas system applied to an intelligent middle station of an enterprise, which is characterized by comprising the following components:
the interaction module is used for receiving an interaction instruction input by a user at a foreground client;
the data management module is used for obtaining operation logic of a user according to the interaction instruction, confirming effective authority for accessing the cloud data of the background of the enterprise, and obtaining effective service data based on the effective authority;
and the data processing module is used for processing the interaction instruction based on the effective service data to obtain a processing result and returning the processing result to the foreground client.
Preferably, the interaction module in the saas system applied to the intelligent central office of the enterprise comprises:
the identity authentication unit is used for verifying the identity of the user and judging whether the user is a system associated user or not;
the instruction receiving unit is used for receiving the interaction instruction of the user when the user is a system associated user and determining the user authority of the user;
the attribute judging unit is used for judging whether the target operation corresponding to the interaction instruction is legal operation or not based on the user permission, and when the target operation is legal instruction, the interaction instruction is sent to the data management module;
otherwise, the interactive instruction is refuted, and illegal operation reminding is carried out.
Preferably, a saas system applied to an intelligent central office of an enterprise further comprises:
the main control module is used for generating a temporary personal operation isolation space when the interaction module judges that the user is a system-associated user, processing user interaction instructions in the temporary personal operation isolation space, monitoring user interaction behaviors in real time after the interaction instructions are processed, and deleting the temporary personal operation isolation space when the user does not have a new interaction instruction in a preset time.
Preferably, in a saas system applied to an intelligent central office, the saas system comprises:
the first determining unit is used for determining the execution logic of the operation task corresponding to the target operation corresponding to the interaction instruction according to the operation logic file to obtain the operation logic of the target operation;
the second determining unit is used for combining a preset reference data list according to the operation logic to obtain a data storage address of an enterprise corresponding to the interaction instruction, and determining the effective authority corresponding to the interaction instruction;
the data acquisition unit is used for dividing a target isolation area in a data isolation layer corresponding to the cloud data of the background of the enterprise based on the effective authority, accessing effective service data in the target isolation area and sending the effective service data to the data processing module.
Preferably, the second determining unit in saas system applied to intelligent central office comprises
An address determining subunit, configured to determine, according to the operation logic, a data type of data related to the target operation, and determine, based on the data type, a data storage address of the data related to the target operation by comparing with a preset reference data list;
a range determining subunit, configured to determine an access range based on the data storage address, and refine the access range according to differences of data storage addresses corresponding to various related data to obtain multiple sub-ranges, where each sub-range corresponds to one type of related data;
meanwhile, calculating the specific gravity of execution data corresponding to various related data of target operation, and determining the access degree of freedom corresponding to each sub-range according to the specific gravity of the execution data;
and the permission determination subunit is used for adjusting the access permissions of all the sub-ranges according to the access degrees of freedom to obtain the effective permissions of the whole access range.
Preferably, the data acquisition unit in the saas system applied to the intelligent central office comprises
The access subunit is used for controlling the data isolation layer corresponding to the background cloud data of the enterprise to open a corresponding data storage area based on the effective authority, and dividing a target isolation area corresponding to the current access in the data storage area according to the local authority limit corresponding to the effective authority;
the acquisition subunit is used for acquiring corresponding effective service data according to the operation logic in the target area;
and the sending subunit is used for sending the effective service data to the data processing module.
Preferably, in a saas system applied to an intelligent central office, a data processing module comprises:
the first processing unit is used for receiving the effective service data sent by the data management module, determining the corresponding split nodes of the effective service data based on the operation logic corresponding to the effective service data, obtaining a plurality of logic data segments, and adding splicing marks to each logic data segment respectively;
the second processing unit is used for generating a plurality of data processing windows according to the sub-operation logic corresponding to the plurality of logic data segments, establishing a data-window mapping relation, and controlling each data processing window to process the corresponding logic data segments in parallel based on the data-window mapping relation to obtain a plurality of sub-processing results;
the result combination unit is used for combining the results of all the sub-processing results based on the splicing marks carried by the logic data segments corresponding to the sub-processing results to generate a final processing result;
and the result returning unit is used for sending the final processing result to the foreground client.
Preferably, in a saas system applied to an intelligent central office, a first processing unit includes:
the data segmentation subunit is used for generating an operation time sequence based on operation logic corresponding to the effective service data, carrying out data separation on the effective service data based on the operation time sequence to obtain a plurality of logic data segments, and taking a data separation point as a segmentation node;
the data sorting subunit is used for sorting the plurality of logic data segments according to the operation time sequences corresponding to the plurality of logic data segments to generate a data queue;
the code generation subunit is used for intercepting the connection data segments among the logic data segments according to the preset character length based on the data queue, obtaining logic association characteristics among the logic data segments, carrying out differential marks on the connection data segments according to the logic association characteristics, and generating corresponding splicing marks by combining with a preset temporary code generation rule;
and the marking subunit is used for copying the splicing marks to obtain a pair of identical splicing marks, adding an upper azimuth pointer code and a lower azimuth pointer code into codes corresponding to the identical splicing marks respectively to obtain a pair of matching codes, and distributing the matching codes to corresponding logic data segments based on the positions of the connected data segments in the two logic data segments.
Preferably, in a saas system applied to an intelligent central office, the result combining unit includes:
the identification subunit is used for pairing the sub-processing results according to the splicing marks carried by the logic data segments corresponding to the sub-processing results to obtain a first splicing queue, and meanwhile, carrying out position adjustment on the first splicing sequence according to the azimuth fingers to obtain a second splicing queue;
and the combination subunit is used for combining the sub-processing results according to the second splicing queue and the logic association characteristics corresponding to the splicing marks to obtain a final processing result.
Preferably, a saas system applied to an intelligent central office of an enterprise further comprises:
and the log recording module is used for generating a user operation log according to the user interaction operation and the returned processing result and sending the user operation log to the foreground client.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a saas system of the present invention applied to an enterprise intelligent center;
FIG. 2 is a schematic diagram of the saas system interaction module of the present invention applied to an enterprise intelligent center;
FIG. 3 is a schematic diagram of a saas system data management module of the present invention applied to an enterprise intelligent center;
FIG. 4 is a schematic diagram of a saas system data processing module for an enterprise intelligent center.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the invention provides a saas system applied to an intelligent middle station of an enterprise, as shown in fig. 1, comprising:
the interaction module is used for receiving an interaction instruction input by a user at a foreground client;
the data management module is used for obtaining operation logic of a user according to the interaction instruction, confirming effective authority for accessing the cloud data of the background of the enterprise, and obtaining effective service data based on the effective authority;
and the data processing module is used for processing the interaction instruction based on the effective service data to obtain a processing result and returning the processing result to the foreground client.
In this embodiment, the interaction instruction refers to a service operation instruction sent by the user at the foreground client.
In this embodiment, the operation logic refers to a process of implementing the target operation corresponding to the interaction instruction.
In this embodiment, the valid authority refers to a data range that can be accessed by completing the user interaction instruction.
In this embodiment, the valid service data refers to data for completing the user interaction instruction,
in this embodiment, the processing result refers to the final execution result of the interaction instruction.
The beneficial effects of the embodiment are that: according to the invention, the interaction module is used for transmitting the interaction instruction input by the foreground client to the middle platform, then the data management module is used for acquiring the background service data, and the data processing module is used for processing the service data corresponding to the user interaction instruction, so that the maintenance cost of the middle platform of an enterprise is reduced, the processing pressure of the background data is reduced, the operation response efficiency of the foreground is accelerated, the service processing capability of the enterprise is improved, and the user experience is improved.
Example 2:
on the basis of embodiment 1, the interaction module, as shown in fig. 2, includes:
the identity authentication unit is used for verifying the identity of the user and judging whether the user is a system associated user or not;
the instruction receiving unit is used for receiving the interaction instruction of the user when the user is a system associated user and determining the user authority of the user;
the attribute judging unit is used for judging whether the target operation corresponding to the interaction instruction is legal operation or not based on the user permission, and when the target operation is legal instruction, the interaction instruction is sent to the data management module;
otherwise, the interactive instruction is refuted, and illegal operation reminding is carried out.
In this embodiment, the system associated user refers to a user whose system registration has operation authority.
In this embodiment, the user permission refers to an operation that a user determined according to identity information of the user may perform on the system described in the present invention.
In this embodiment, legal operation refers to executable operation in the user right corresponding to the user.
The beneficial effects of the embodiment are that: the invention verifies the user identity and judges whether the user is a system associated user, thereby determining whether to receive the user interaction instruction and the user authority of the user, ensuring the feasibility and legality of the corresponding operation of the user interaction instruction, ensuring the safety of the user data and avoiding the malicious tampering of the user data.
Example 3:
based on embodiment 2, a saas system applied to an intelligent central office of an enterprise further includes:
the main control module is used for generating a temporary personal operation isolation space when the interaction module judges that the user is a system-associated user, processing user interaction instructions in the temporary personal operation isolation space, monitoring user interaction behaviors in real time after the interaction instructions are processed, and deleting the temporary personal operation isolation space when the user does not have a new interaction instruction in a preset time.
In this embodiment, the temporary personal operation isolation space refers to a space for executing a current interaction instruction, and different users correspond to different personal operation isolation spaces.
In this embodiment, the user interaction behavior refers to whether the user has sent a new interaction instruction.
The beneficial effects of the embodiment are that: when the interaction module judges that the user is a system-associated user, a temporary personal operation isolation space is generated, and user interaction instructions are processed in the temporary personal operation isolation space, so that the accuracy of user operation response is improved, data confusion is avoided when the system access amount is large, and meanwhile, the data processing capacity of the system is improved; and after the interactive instruction processing is finished, the interactive behavior of the user is monitored in real time, when no new interactive instruction is sent by the user within preset time, the temporary personal operation isolation space is deleted, and useless temporary personal operation isolation space is deleted in time, so that the system memory is released under the condition that the response speed of the interactive instruction of the user is ensured, and the running pressure of the system is effectively relieved.
Example 4:
on the basis of embodiment 1, the data management module, as shown in fig. 3, includes:
the first determining unit is used for determining the execution logic of the operation task corresponding to the target operation corresponding to the interaction instruction according to the operation logic file to obtain the operation logic of the target operation;
the second determining unit is used for combining a preset reference data list according to the operation logic to obtain a data storage address of an enterprise corresponding to the interaction instruction, and determining the effective authority corresponding to the interaction instruction;
the data acquisition unit is used for dividing a target isolation area in a data isolation layer corresponding to the cloud data of the background of the enterprise based on the effective authority, accessing effective service data in the target isolation area and sending the effective service data to the data processing module.
In this embodiment, the target operation refers to an operation corresponding to the user interaction instruction.
In this embodiment, the execution logic refers to the operation logic of the data in the process of executing the target operation, and the operation logic is the execution logic.
In this embodiment, the reference data list refers to a list of storage locations containing all business data of the enterprise.
In this embodiment, the target isolation area refers to an access range corresponding to data for executing the target operation call.
The beneficial effects of the embodiment are that: according to the method, the execution logic of the operation task corresponding to the target operation corresponding to the interaction instruction is determined according to the operation logic file, the operation logic of the target operation is obtained, the data storage address of the enterprise corresponding to the interaction instruction is obtained according to the operation logic in combination with a preset reference data list, the effective authority corresponding to the interaction instruction is determined, the access range corresponding to the current operation is determined, the data safety of the data stored in the data isolation layer is ensured, the target isolation area is divided in the data isolation layer corresponding to the cloud data of the enterprise based on the effective authority, the effective service data in the target isolation area is accessed, and the effective service data is sent to the data processing module, so that the search range in the data calling process is shortened, the accuracy of data acquisition is improved, and the guarantee is provided for the accurate execution of the user interaction instruction.
Example 5:
on the basis of embodiment 4, the second determination unit includes
An address determining subunit, configured to determine, according to the operation logic, a data type of data related to the target operation, and determine, based on the data type, a data storage address of the data related to the target operation by comparing with a preset reference data list;
a range determining subunit, configured to determine an access range based on the data storage address, and refine the access range according to differences of data storage addresses corresponding to various related data to obtain multiple sub-ranges, where each sub-range corresponds to one type of related data;
meanwhile, calculating the specific gravity of execution data corresponding to various related data of target operation, and determining the access degree of freedom corresponding to each sub-range according to the specific gravity of the execution data;
and the permission determination subunit is used for adjusting the access permissions of all the sub-ranges according to the access degrees of freedom to obtain the effective permissions of the whole access range.
In this embodiment, the sub-range refers to a plurality of small ranges obtained by thinning and dividing the access range according to various differences concerning data storage addresses corresponding to data.
In this embodiment, the access degree of freedom refers to an authority range evaluation coefficient that can be queried in the process of performing data access on the sub-range, and is specifically calculated as follows:
wherein beta is i Representing the access degree of freedom of the ith sub-range; y is i Representing a data size of the related data corresponding to the i-th sub-range; y represents the data size corresponding to the effective service data; m is M i A data size indicating all data included in the i-th sub-range; n represents the total number of sub-ranges.
The beneficial effects of the embodiment are that: according to the method, the data type of data related to target operation is determined according to the operation logic, a preset reference data list is contrasted based on the data type, a data storage address of the data related to the target operation is determined based on the data storage address, an access range is determined, the operation access range is initially limited, the single operation access data amount is controlled within a certain range, the effective data acquisition efficiency is effectively improved, then the access range is refined according to the difference of data storage addresses corresponding to various related data to obtain a plurality of sub-ranges, the execution data proportion corresponding to various related data of the target operation is calculated, the access degrees of freedom corresponding to the sub-ranges are determined according to the execution data proportion, the access authority of the sub-ranges is adjusted according to the access degrees of freedom, the effective authority of the whole access range is obtained, information leakage caused by accessing other irrelevant data in the process of executing the target operation is avoided, and the data safety is improved.
Example 6:
on the basis of embodiment 4, the data acquisition unit includes
The access subunit is used for controlling the data isolation layer corresponding to the background cloud data of the enterprise to open a corresponding data storage area based on the effective authority, and dividing a target isolation area corresponding to the current access in the data storage area according to the local authority limit corresponding to the effective authority;
the acquisition subunit is used for acquiring corresponding effective service data according to the operation logic in the target area;
and the sending subunit is used for sending the effective service data to the data processing module.
In this embodiment, the local authority limit refers to the limit content corresponding to the access authority of each sub-range in the access range corresponding to the effective authority.
The beneficial effects of the embodiment are that: according to the method, based on the effective authority, the data isolation layer corresponding to the enterprise background cloud data is controlled to open the corresponding data storage area, the target isolation area corresponding to the current access is divided in the data storage area according to the local authority limit corresponding to the effective authority, the access area for executing the target operation is thinned, the interference of useless data is reduced, the data searching time is shortened, the data acquisition efficiency is improved, and the effective service data is ensured to be acquired rapidly and accurately.
Example 7:
on the basis of embodiment 1, the data processing module, as shown in fig. 4, includes:
the first processing unit is used for receiving the effective service data sent by the data management module, determining the corresponding split nodes of the effective service data based on the operation logic corresponding to the effective service data, obtaining a plurality of logic data segments, and adding splicing marks to each logic data segment respectively;
the second processing unit is used for generating a plurality of data processing windows according to the sub-operation logic corresponding to the plurality of logic data segments, establishing a data-window mapping relation, and controlling each data processing window to process the corresponding logic data segments in parallel based on the data-window mapping relation to obtain a plurality of sub-processing results;
the result combination unit is used for combining the results of all the sub-processing results based on the splicing marks carried by the logic data segments corresponding to the sub-processing results to generate a final processing result;
and the result returning unit is used for sending the final processing result to the foreground client.
In this embodiment, the partition node refers to a node that partitions all valid data according to the operation logic.
In this embodiment, the logical data segment refers to a data segment obtained by dividing the valid data according to the dividing node. Each logical data segment may express a complete sub-operation logic, which includes a plurality of sub-operation logics.
In this embodiment, the splice mark is a mark indicating the effective data split node.
In this embodiment, the data processing window is a micro data processing unit that processes logical data segments.
In this embodiment, the data-window mapping relationship refers to a correspondence relationship between a logical data segment and a data processing window, where one data processing window corresponds to one logical data segment.
In this embodiment, the sub-processing result is the result of the logical data segment processed by the data processing window.
In this embodiment, the final processing result refers to a processing result that corresponds to the interaction instruction finally generated according to the combination of sub-processing results.
The beneficial effects of the embodiment are that: the invention determines the segmentation nodes corresponding to the effective service data based on the operation logic corresponding to the effective service data to obtain a plurality of logic data segments, generates a plurality of data processing windows according to the sub-operation logic corresponding to the plurality of logic data segments, establishes a data-window mapping relation, controls each data processing window to process the corresponding logic data segments in parallel based on the data-window mapping relation to obtain a plurality of sub-processing results, divides the completed data corresponding to the target operation corresponding to the interaction instruction into a plurality of short data to process in parallel at the same time, shortens the data processing time and improves the data processing efficiency; in the effective data segmentation process, splicing marks are respectively added to each logic data segment, so that the rapid splicing of the subsequent sub-processing results is ensured, and the response speed of the interactive instruction is effectively improved.
Example 8:
on the basis of embodiment 7, the first processing unit includes:
the data segmentation subunit is used for generating an operation time sequence based on operation logic corresponding to the effective service data, carrying out data separation on the effective service data based on the operation time sequence to obtain a plurality of logic data segments, and taking a data separation point as a segmentation node;
the data sorting subunit is used for sorting the plurality of logic data segments according to the operation time sequences corresponding to the plurality of logic data segments to generate a data queue;
the code generation subunit is used for intercepting the connection data segments among the logic data segments according to the preset character length based on the data queue, obtaining logic association characteristics among the logic data segments, carrying out differential marks on the connection data segments according to the logic association characteristics, and generating corresponding splicing marks by combining with a preset temporary code generation rule;
and the marking subunit is used for copying the splicing marks to obtain a pair of identical splicing marks, adding an upper azimuth pointer code and a lower azimuth pointer code into codes corresponding to the identical splicing marks respectively to obtain a pair of matching codes, and distributing the matching codes to corresponding logic data segments based on the positions of the connected data segments in the two logic data segments.
In this embodiment, the operation timing sequence refers to a timing sequence executed by each sub-operation logic in the operation logic.
In this embodiment, the data separation refers to dividing the effective service data into a plurality of short data (i.e. logical data segments) according to the operation logic.
In this embodiment, the data queue refers to a sequence obtained by ordering the logic data segments according to the operation timing sequence.
In this embodiment, the concatenation data segment refers to a data segment containing data on both sides of the split node
In this embodiment, the logical association feature refers to a direct connection relationship of each logical data segment.
In this embodiment, the difference label refers to numbering the concatenated data segments according to the direct connection relationship of each logical data segment, where the numbering is determined by the ordering sequence of two logical data segments concatenated by the concatenated data segment in the data queue.
In this embodiment, the temporary code generation rule refers to a preset code rule in the system.
In this embodiment, the splicing mark is formed by a string of code characters, and is automatically deleted after the final processing result of the interactive instruction is generated for temporary coding.
In this embodiment, the present invention is applicable to a variety of applications. The upper pointer code refers to the pointer code corresponding to the logic data with the preceding sequence in the two logic data segments, and the lower pointer code refers to the pointer code corresponding to the logic data with the following sequence in the two logic data segments, so that the pointer code can conveniently and quickly determine the queue sequence of the logic data segments and the sub-processing results of the pairs of the logic data segments.
In this embodiment, the matching code refers to a code in which characters are identical except for the azimuth pointer code field.
The beneficial effects of the embodiment are that: the invention is used for generating an operation time sequence based on operation logic corresponding to effective service data, carrying out data separation on the effective service data based on the operation time sequence to obtain a plurality of logic data segments, taking a data separation point as a segmentation node, sequencing the plurality of logic data segments according to the operation time sequence corresponding to the plurality of logic data segments to generate a data queue, determining a logic execution queue of the logic data segments, facilitating the combination of subsequent sub-processing results, intercepting the connection data segments among the logic data segments according to a preset character length based on the data queue, obtaining logic association characteristics among the logic data segments, carrying out differential marking on the connection data segments according to the logic association characteristics, combining a preset temporary coding generation rule, generating a corresponding splicing mark, copying the splicing mark, obtaining a pair of identical splicing marks, adding an upper pointer code and a lower pointer code into codes corresponding to the identical splicing marks respectively, obtaining a pair of matching codes, and distributing the matching codes to the corresponding logic data segments based on the positions of the connection data segments in the two logic data segments, thereby ensuring the rapid response of the subsequent sub-processing results of the subsequent sub-processing.
Example 9:
on the basis of embodiment 7, the result combining unit includes:
the identification subunit is used for pairing the sub-processing results according to the splicing marks carried by the logic data segments corresponding to the sub-processing results to obtain a first splicing queue, and meanwhile, carrying out position adjustment on the first splicing sequence according to the azimuth fingers to obtain a second splicing queue;
and the combination subunit is used for combining the sub-processing results according to the second splicing queue and the logic association characteristics corresponding to the splicing marks to obtain a final processing result.
In this embodiment, the first splicing queue refers to a sequencing result according to sub-processing results obtained according to the splicing mark, and the sequencing result at this time includes the sequence of sub-processing results of the same splicing mark which is not determined.
In this embodiment, the first splicing queue refers to a sub-processing result ordering result that determines the sequence of sub-processing results carrying the same splicing mark
The beneficial effects of the embodiment are that: according to the invention, the sub-processing results are sequenced according to the splicing marks to obtain a first splicing queue, the position of the first splicing queue is adjusted according to the direction index to obtain a second splicing queue, and according to the second splicing queue, the sub-processing results are combined according to the logic association characteristics corresponding to the splicing marks to obtain a final processing result, so that the processing result combination efficiency is improved, and the foreground response time of the interactive instruction is effectively shortened.
Example 10:
based on embodiment 1, a saas system applied to an intelligent central office of an enterprise further includes:
and the log recording module is used for generating a user operation log according to the user interaction operation and the returned processing result and sending the user operation log to the foreground client.
The beneficial effects of the embodiment are that: according to the invention, the user operation log is generated according to the user interactive operation and the returned processing result, and is sent to the foreground client to record the operation of the user, so that when a problem occurs in a book, the searching time of information is maintained, the time consumption of system maintenance is reduced, and the problem searching efficiency is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A saas system for an intelligent central office of an enterprise, comprising:
the interaction module is used for receiving an interaction instruction input by a user at a foreground client;
the data management module is used for obtaining operation logic of a user according to the interaction instruction, confirming effective authority for accessing the cloud data of the background of the enterprise, and obtaining effective service data based on the effective authority;
and the data processing module is used for processing the interaction instruction based on the effective service data to obtain a processing result and returning the processing result to the foreground client.
2. The saas system for an intelligent central office of claim 1, wherein the interaction module comprises:
the identity authentication unit is used for verifying the identity of the user and judging whether the user is a system associated user or not;
the instruction receiving unit is used for receiving the interaction instruction of the user when the user is a system associated user and determining the user authority of the user;
the attribute judging unit is used for judging whether the target operation corresponding to the interaction instruction is legal operation or not based on the user permission, and when the target operation is legal instruction, the interaction instruction is sent to the data management module;
otherwise, the interactive instruction is refuted, and illegal operation reminding is carried out.
3. The saas system for use in an intelligent central office of claim 2, further comprising:
the main control module is used for generating a temporary personal operation isolation space when the interaction module judges that the user is a system-associated user, processing user interaction instructions in the temporary personal operation isolation space, monitoring user interaction behaviors in real time after the interaction instructions are processed, and deleting the temporary personal operation isolation space when the user does not have a new interaction instruction in a preset time.
4. The saas system for use in an intelligent central office of claim 1, wherein the data management module comprises:
the first determining unit is used for determining the execution logic of the operation task corresponding to the target operation corresponding to the interaction instruction according to the operation logic file to obtain the operation logic of the target operation;
the second determining unit is used for combining a preset reference data list according to the operation logic to obtain a data storage address of an enterprise corresponding to the interaction instruction, and determining the effective authority corresponding to the interaction instruction;
the data acquisition unit is used for dividing a target isolation area in a data isolation layer corresponding to the cloud data of the background of the enterprise based on the effective authority, accessing effective service data in the target isolation area and sending the effective service data to the data processing module.
5. The saas system applied to an intelligent central office of claim 4, wherein the second determining unit comprises
An address determining subunit, configured to determine, according to the operation logic, a data type of data related to the target operation, and determine, based on the data type, a data storage address of the data related to the target operation by comparing with a preset reference data list;
a range determining subunit, configured to determine an access range based on the data storage address, and refine the access range according to differences of data storage addresses corresponding to various related data to obtain multiple sub-ranges, where each sub-range corresponds to one type of related data;
meanwhile, calculating the specific gravity of execution data corresponding to various related data of target operation, and determining the access degree of freedom corresponding to each sub-range according to the specific gravity of the execution data;
and the permission determination subunit is used for adjusting the access permissions of all the sub-ranges according to the access degrees of freedom to obtain the effective permissions of the whole access range.
6. The saas set forth in claim 4, wherein the data acquisition unit comprises
The access subunit is used for controlling the data isolation layer corresponding to the background cloud data of the enterprise to open a corresponding data storage area based on the effective authority, and dividing a target isolation area corresponding to the current access in the data storage area according to the local authority limit corresponding to the effective authority;
the acquisition subunit is used for acquiring corresponding effective service data according to the operation logic in the target area;
and the sending subunit is used for sending the effective service data to the data processing module.
7. The saas system for use in an intelligent central office of claim 1, wherein the data processing module comprises:
the first processing unit is used for receiving the effective service data sent by the data management module, determining the corresponding split nodes of the effective service data based on the operation logic corresponding to the effective service data, obtaining a plurality of logic data segments, and adding splicing marks to each logic data segment respectively;
the second processing unit is used for generating a plurality of data processing windows according to the sub-operation logic corresponding to the plurality of logic data segments, establishing a data-window mapping relation, and controlling each data processing window to process the corresponding logic data segments in parallel based on the data-window mapping relation to obtain a plurality of sub-processing results;
the result combination unit is used for combining the results of all the sub-processing results based on the splicing marks carried by the logic data segments corresponding to the sub-processing results to generate a final processing result;
and the result returning unit is used for sending the final processing result to the foreground client.
8. The saas system for use in an intelligent central office of claim 7, wherein the first processing unit comprises:
the data segmentation subunit is used for generating an operation time sequence based on operation logic corresponding to the effective service data, carrying out data separation on the effective service data based on the operation time sequence to obtain a plurality of logic data segments, and taking a data separation point as a segmentation node;
the data sorting subunit is used for sorting the plurality of logic data segments according to the operation time sequences corresponding to the plurality of logic data segments to generate a data queue;
the code generation subunit is used for intercepting the connection data segments among the logic data segments according to the preset character length based on the data queue, obtaining logic association characteristics among the logic data segments, carrying out differential marks on the connection data segments according to the logic association characteristics, and generating corresponding splicing marks by combining with a preset temporary code generation rule;
and the marking subunit is used for copying the splicing marks to obtain a pair of identical splicing marks, adding an upper azimuth pointer code and a lower azimuth pointer code into codes corresponding to the identical splicing marks respectively to obtain a pair of matching codes, and distributing the matching codes to corresponding logic data segments based on the positions of the connected data segments in the two logic data segments.
9. The saas system for an intelligent central office of claim 7, wherein the result combining unit comprises:
the identification subunit is used for pairing the sub-processing results according to the splicing marks carried by the logic data segments corresponding to the sub-processing results to obtain a first splicing queue, and meanwhile, carrying out position adjustment on the first splicing sequence according to the azimuth fingers to obtain a second splicing queue;
and the combination subunit is used for combining the sub-processing results according to the second splicing queue and the logic association characteristics corresponding to the splicing marks to obtain a final processing result.
10. The saas system for use in an intelligent central office of claim 1, further comprising:
and the log recording module is used for generating a user operation log according to the user interaction operation and the returned processing result and sending the user operation log to the foreground client.
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| CN202310740735.7A CN116777376B (en) | 2023-06-20 | Saas system applied to intelligent middle station of enterprise |
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| CN202310740735.7A CN116777376B (en) | 2023-06-20 | Saas system applied to intelligent middle station of enterprise |
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