CN116720706B - Enterprise information processing system and method based on big data technology - Google Patents

Enterprise information processing system and method based on big data technology Download PDF

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Publication number
CN116720706B
CN116720706B CN202310748344.XA CN202310748344A CN116720706B CN 116720706 B CN116720706 B CN 116720706B CN 202310748344 A CN202310748344 A CN 202310748344A CN 116720706 B CN116720706 B CN 116720706B
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management
task
information
management terminal
server
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CN116720706A (en
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陈晶
吴华锋
黄凌玲
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Zhejiang Huixin Technology Co ltd
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Zhejiang Huixin Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316Sequencing of tasks or work
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093Calendar-based scheduling for persons or groups
    • G06Q10/1097Task assignment

Abstract

The invention relates to the field of information processing, in particular to an enterprise information processing system and method based on big data technology. The system comprises a server and a management terminal, wherein the management terminal and the server form a communication network, and the server terminal sets different management terminal label information according to different task attributions; the method comprises the steps that a management terminal and a task execution management terminal are distinguished according to label information, wherein the management terminal is provided with a message unit, and the message unit is used for receiving and managing messages and is used for carrying out information interaction between the management terminal and a server as well as between the management terminal and other management terminals; by means of task decomposition, message attribute and buffer sequence setting, task cooperative propulsion and auditing are ensured by means of task attribute decomposition and reminding, and implementation efficiency and quality of decomposing and checking tasks after clustering are ensured.

Description

Enterprise information processing system and method based on big data technology
Technical Field
The invention relates to the field of information processing, in particular to an enterprise information processing system based on big data technology.
Background
Along with the rapid increase of information of enterprises in the information technology, the requirements on the information management processing of each enterprise are improved. For the management and processing of enterprises, the method becomes an important means for managing the operation of the enterprises. Along with diversification of enterprise information in reality, the enterprise information faces to processing and management of multiple departments, management services of the multiple departments belong to one-to-many enterprise, such as that in the prior art, the management information of the enterprise comprises information supporting statistics of the prior management working condition according to areas, and how to realize decomposition of task flows and triggering of parallel tasks, so that management of the enterprise is promoted, meanwhile, manageability of informatization means is realized, meanwhile, task issuing of a server and how to configure configuration and function construction of a management terminal are realized, comprehensive utilization and management of the enterprise information are focused.
Disclosure of Invention
In order to solve one of the above problems, the present invention provides an enterprise information management processing system based on big data, which is characterized in that: the system comprises a server and a management terminal, wherein the management terminal and the server form a communication network, and the management terminal is provided with a message unit which is used for receiving and managing messages and is used for carrying out information interaction between the management terminal and the server as well as between the management terminal and other management terminals;
the server stores enterprise information and management information, the server performs text recognition and extraction on the enterprise information and the management information, performs clustering processing on the acquired information of different enterprise types, performs matching on historical inspection tasks according to the clustering information, and acquires corresponding inspection task sheets under different clustering information;
the server sets different management terminal label information according to different task attributions; distinguishing a manager management terminal and a task execution management terminal according to the label information; the manager management terminal rechecks the execution tasks while executing the task inspection, and is used for sending prompt messages to different task execution management terminals according to the cooperative jump relation between the sub-processes of the inspection tasks, and supervising the sub-process processing of the tasks;
the task execution management terminal obtains the information sent by the server or the manager management terminal in the task execution, the management terminal configures an information inquiry engine, a monitor is arranged to set a cache queue, the archiving inquiry is operated, the cache information is pulled out from the queue, and the information processing is performed in an asynchronous mode.
Preferably, the management terminal further comprises a service approval unit, and the service approval unit is used for implementing classification management on various service approval item contents required to be submitted by checking task application, punishment decision approval and collaborative transaction, and providing related approval operation functions.
Preferably, the server configures different identification information for the management terminal, and the identification information is also used for the management terminal to distinguish a general function and a task attribution function, and perform task hierarchical management on the inquiry and triggering authority of the data information.
Preferably, the server decomposes the issued task information, issues tasks through different task management configurations, and the task management configurations are divided into My tasks and task management according to different user rights, and adaptively endow different identification information to the management terminal; according to the task management configuration information, different virtual management terminal clusters are set, and one management terminal can be attributed to a plurality of different manager management terminals.
Preferably, based on task attribute information, communication capacity and storage space are distributed for different management terminals at a server, so that tracking and recording of real-time task information are ensured.
Preferably, the server or the manager management terminal sends prompt messages to different management terminals according to the feedback information.
Preferably, the server distributes tasks to be classified into special inspection and instant inspection according to the task attribute type, and double random management is performed.
Preferably, the dual random management includes: the management terminal acquires a corresponding task processing form, the server records the task attribution form of the management terminal, the record of the cross form is implicitly marked, different form item forms are set for the implicit marking, and the implicit marking is sent to different management terminals; and pushing the index relation among the task forms to a manager management terminal with task review attributes.
Preferably, the manager management terminal with task review attribute matches the form attribute keywords when the corresponding form is acquired, if the matching value is greater than the threshold value, the task flow processing is continued, otherwise, the review flow event is configured, and the review application is submitted and initiated together with the corresponding review record.
Preferably, the task review includes the task review time-efficiency review, the server is allocated to the management terminal of the corresponding authority, the management terminal of the corresponding authority checks the global task through task review and performs related tracking management on the task, and meanwhile, the system can perform joint recommendation on related tasks according to task conditions.
Preferably, the manager management terminal configures the management terminals of the group, sets different message configurations, encrypts the message attribute through a preset affiliated message key, sends the affiliated message through a broadcast message at the manager terminal, and simultaneously comprises a message header and a message, and reads ID information in a corresponding header when the optional affiliated management terminal communicates, decrypts the message information of the corresponding field when the corresponding ID information exists, and does not parse the corresponding message information when the ID information does not exist.
The invention provides an enterprise information management processing system based on big data, which comprises a server and a management terminal, wherein the management terminal and the server form a communication network, and the server terminal sets different management terminal label information according to different task attributions; the management terminal is used for distinguishing a manager management terminal and a task execution management terminal according to the tag information, wherein the management terminal is provided with a message unit, and the message unit is used for receiving and managing messages and is used for carrying out information interaction between the management terminal and a server as well as between the management terminal and other management terminals; by means of task decomposition, message attribute and buffer sequence setting, task cooperative propulsion and auditing are ensured by means of task attribute decomposition and reminding, and implementation efficiency and quality of the decomposition checking task after clustering processing are ensured.
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The features and advantages of the present disclosure will be more clearly understood by reference to the accompanying drawings, which are schematic and should not be construed as limiting the disclosure in any way.
FIG. 1 is a schematic diagram of a system framework of the present invention.
Detailed Description
These and other features and characteristics of the present disclosure, as well as the methods of operation, functions of the related elements of structure, combinations of parts and economies of manufacture, may be better understood with reference to the following description and the accompanying drawings, all of which form a part of this specification. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the disclosure. It will be understood that the figures are not drawn to scale. Various block diagrams are used in the present disclosure to illustrate various modifications of the embodiments according to the present disclosure.
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In this context "/" means "or" for example, a/B may mean a or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone.
It should be noted that, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first", "second", and the like are used to distinguish the same item or similar items having substantially the same function or effect, and those skilled in the art will understand that the terms "first", "second", and the like do not limit the number and execution order. For example, the first information and the second information are used to distinguish between different information, and not to describe a particular order of information.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The enterprise information management processing system based on big data as shown in fig. 1 comprises a server and a management terminal, wherein the management terminal and the server form a communication network, and the management terminal is internally provided with a message unit which is used for receiving and managing messages and is used for carrying out information interaction between the management terminal and the server and other management terminals;
the server obtains information of the business, including business condition information for the business, including profile information for the business, and the like. The server stores enterprise information, management information and the like, extracts keywords from the enterprise information and the management information, acquires clustering processing under different enterprise type information, acquires different clustering labels, matches historical checking tasks according to the clustering information, and acquires corresponding tasks under different clustering label information.
When the environment-friendly inspection is performed, clustering processing can be performed on information under different types according to different enterprise production information and historical processing information, and task attribution distribution corresponding to the inspection under different types and enterprise products and limits is obtained.
The server configures different management terminals according to task attribution allocation, the management terminals are optional, the management terminals acquire business information of the enterprise, management statistics is carried out on the business information, the management terminals are optional, statistics is carried out on the overall execution condition of various indexes of the enterprise from a business angle, and the management terminals are optional and are also used for management inspection, collaborative command, statistics of management rechecking and the like.
And the server terminal sets different management terminal label information according to different task attributions. The management terminals distinguish manager management terminals and task execution management terminals, and the manager management terminals check the execution tasks while executing task inspection, and are used for sending prompt messages to different task execution management terminals according to the cooperative jump relationship among the sub-processes of the inspection tasks so as to prompt the processing efficiency of the overall tasks. Optionally, when the server divides the inspection task, the assignment of the sub-flows of the inspection task can be based on time stamp and flow dependence according to approval business flow and legal regulation flow setting, and weight assignment and preferential treatment can be performed on different sub-flows. For example, a shorter legal deadline may be given a higher priority, while belonging to the underlying business process may also be given a higher priority.
The management terminal is provided with a message unit, wherein the message unit is used for receiving and managing messages, and is used for information interaction between the management terminal and the server and other management terminals, and the message unit is corresponding to the information interaction. Specifically, the method comprises the following steps:
1) Message reminding: the message reminder mainly comprises message subscription, message notification and message log related functions.
2) Early warning information: and viewing the early warning related information, supporting the early warning information of the historical information according to time search and the like, and clicking the early warning information can view details of the early warning information.
3) Notification announcement: and viewing the notification announcement information pushed by the system, supporting to view the notification announcement in the list, and clicking to view the details of the notification announcement information.
The management terminal is provided with a user query unit, the query module is used for reconstructing a panoramic portrait of a management object for an enterprise, namely an enterprise object, and the query module is used for distinguishing the enterprise portrait, the natural portrait and the like. The definition image dimension is re-carded. And providing enterprise panoramic inquiry, natural person inquiry, credit inquiry, risk inquiry, association relation inquiry and knowledge graph correlation functions.
The management terminal also comprises a business approval management unit for business information of enterprises, and the business approval management unit is used for realizing classified management of various business approval matters such as application of checking tasks, punishment decision approval, investigation-assisting sponsor business submission and the like, and providing related approval operation functions.
The management terminal is also used for integrating core services and realizing classified management of all related service approval matters related to management inspection, collaborative command, management rechecking and other transaction working processes. And supporting the related operations of checking and approving details, passing the approval, copying, returning, transferring and prompting all the approval tasks.
The server configures different identification information for the management terminal, the identification information distinguishes a general function and a task attribution function for the management terminal, and in the terminal management module, the user information and the task of the management terminal are subjected to task management for inquiring and triggering permission of data information.
In an alternative embodiment, the server extracts and manages information such as enterprise report data, news and web pages according to the processing of the big data, obtains different clustering labels, such as attributive hot spot information, obtains an inspection task flow template under hot spot information matching, and issues the task flow template according to different management terminal identification information. The server decomposes the issued task information, and executes operation through different task management configurations, wherein the task management configurations can be divided into My tasks and task management according to different user authorities, and different identification information is correspondingly given to the management terminal. Different virtual management terminal clusters are configured according to tasks, namely one management terminal can be attributed to a plurality of different task management terminals.
For example, the server may configure my tasks in the authority information of the corresponding management terminal for management of related tasks by the manager of the corresponding management terminal. The task management matches the management terminal with the task information. And optionally, based on task attribute information, distributing communication capacity and storage space for different management terminals at a server, and guaranteeing execution tracking and recording of real-time task information. The decomposition of the server to the plurality of tasks is based on the task classification division of different business processes, and the jump of the business processes sends prompt messages to different management terminals through feedback of a background server or a manager management terminal so as to ensure comprehensive timeliness of different sub-management business tasks.
In a preferred embodiment, a management event initiating function is configured in the management terminal, and optionally, the management event initiating function may employ a "manage one event" clue to initiate a "manage one event" management adaptation related function. The management of a thing clue is initiated by a server, wherein the large data processing of enterprise information specifically comprises cluster analysis of related information clues, the server distributes tasks, and the management is divided into special inspection, instant inspection and double random management according to the task attribute type. The method comprises the steps that keyword extraction is carried out on data in a management terminal, corresponding task real shooting form model recommendation is obtained, corresponding task processing forms are pushed to a user, a server records task attribution forms of the management terminal, implicit indexing is carried out on records of cross forms, different table item forms are set in the implicit indexing, the different table item forms are sent to different management terminal task terminals, and index relations among the task forms are pushed to the management terminal with task review attributes. And the task attribute management terminal is used for matching the form attribute keywords when the corresponding form is acquired, triggering a lower condition when the corresponding form is matched with a threshold, otherwise configuring an audit rechecking flow event, submitting the audit rechecking flow event together with the corresponding check record, and sending an audit application. The management terminal is also configured to have a newly added checklist recommending function, and manage the checklist, and when carrying out the follow-up tracking tasks of daily check, special check and double random check tasks, the management terminal sets the functions of intelligent form recommending and labeled screening, so that the management checklist can be conveniently and rapidly selected according to actual conditions.
In an optional embodiment, the task review aging is that the server is allocated to a management terminal with corresponding authority, and the management terminal checks the global task and carries out related tracking management on the task through task review, and meanwhile, the system can carry out joint recommendation on related tasks according to task conditions. The decomposing and unifying of the global tasks may include: responding to configuration operation of the linkage strategy on the management terminal of the corresponding authority, and presenting the first configuration interface; the first configuration interface is used for setting the trigger equipment, associating linkage equipment for the trigger equipment and setting a flow event to be detected for the trigger equipment. The linkage setting comprises configuring proper trigger equipment according to an actual task scene of an execution task, and configuring associated linkage equipment and a prompt event to be detected for the trigger equipment. The quantitative relationship between the trigger device and the linkage device comprises one of the following: one-to-one, one-to-many, many-to-one, many-to-many.
Optionally, the my task unit module configured for the management terminal in the server further includes: the module is associated with each core service module and calls related data and data; and querying and displaying all tasks to be processed or processed by the current user, and executing corresponding operations aiming at different task states. The method mainly comprises the steps of managing and checking tasks, secondary checking tasks, case transferring source clues, collaborative tasks, scheduling tasks and rechecking tasks.
Optionally, the server terminal is a task review module function configured by the management terminal, and the function is associated with the management terminal of the collaborative command manager set in the server or in the management server, and related data is invoked. Task review provides a manager with a global task to view and relevant tracking management of the task, and meanwhile, a server in the system can combine related tasks according to task conditions and real-time propulsion conditions to recommend the related tasks. Preferably, the server can set a management terminal according to the authority level of the corresponding organization manager, and directly initiates relevant association in the name of a department according to the configuration of the task, wherein the relevant association mainly comprises task tracking and associated task recommendation.
Optionally, the communication setting is performed between the management terminal modules, in the task management terminal, when the user is configured as a task manager, that is, the user is a manager, the terminal with the task management terminal is configured with fields related to personnel configuration, schedule, notification, schedule problem and communication related to the decomposition task. Correspondingly, the manager management terminal configures the corresponding terminal, sets different message configurations, encrypts the message attribute through a preset sub message key, sends an attached message through a broadcast message at the manager terminal, simultaneously comprises a message header and a message, reads ID information in the corresponding header when the optional attached management terminal communicates, decrypts the message information of the corresponding field when the corresponding ID information exists, does not analyze the corresponding message information when the ID information does not exist, improves the transaction processing capacity and efficiency of a management terminal platform, and reduces the information occupation.
Preferably, the management terminal may be configured with a communication button, for example, for triggering a communication operation when the management terminal is operated, and the communication operation may specifically include presenting the user with an option of starting a new session, transmitting a broadcast message, or transmitting a message about an existing session. If the task management terminal user selects to start a new dialogue, the corresponding dialogue configuration can be pushed on the corresponding management terminal interface, and the attached management terminal can execute the dialogue of the information message according to the corresponding dialogue.
Optionally, the monitoring terminal is mainly a task review manager in task decomposition, and based on their roles, positions, places, events, communication session states and whether they are communication session creators; the user may be provided with all messages related to their group or only those related to their role within the group, etc.
In a preferred embodiment, a communication session between monitoring terminals in different scenes is realized, and correspondingly, the management terminal further comprises a message sent by a server or a manager management terminal in task execution, the management terminal configures a message query engine, firstly, a monitor is set to set a cache queue, archive query is operated, the cache message can be pulled out from the queue, and information is ensured not to be missed. The manager terminal can queue tasks, send the tasks according to the priorities, and the corresponding manager terminal analyzes the execution of the tasks according to scene planning.
The server can predict the belonging additional task flow based on the existing task processing model, and can predict the sequence of tasks according to the information business flow by checking the task information of enterprise information.
The task decomposition and the hot spot extraction are implemented by adopting a clustering processing mode, and the clustering processing comprises the steps of identifying natural word segmentation of the text, obtaining truncated word segmentation, constructing a dataset for truncated word segmentation information, carrying out information clustering processing on the dataset, extracting attributions of different information, extracting hot spot information, and matching the hot spot information with historical task information in a server.
The optional clustering process is: processing the acquired text data, wherein the data set X= { X1, X2, …, xn }, xn epsilon Rn n, and the number of clusters is K output: clustering partition Step1 dataset preprocessing 1) constructing a similarity matrix a e Rn, where i+.j, aij=0, where σ is a parameter. 2) Constructing a matrix; 3) Calculating eigenvectors X1, X2 … and Xk corresponding to the first k eigenvalues of the matrix L, constructing a matrix X= [ X1, X2 …, xn ] ∈Rn X k, normalizing row vectors of the matrix X, and obtaining a matrix Y= [ Y1, …, yn ] ∈Rn X k; step2, generating a temporary clustering center set, namely 1) generating clustering center points randomly according to initial particle swarms of Y= [ Y1, …, yn ] ∈Rn, and t is an artificial set value; and initializes the particle velocity V. 2) Introducing a fitness function fit=1.0/[ x sin (10 x pi) +2.0], and calculating a fitness value of each particle; 3) The positions of the cluster centers are continuously adjusted until a good enough position is found or the maximum iteration number is reached, and M= { M1, …, mt }, t cluster center sets are generated. Preferably, the method further comprises: obtaining a clustering center point 1), carrying out global Kmeans clustering on a data set by taking M= { M1, …, mt } as the data set, carrying out Kmeans clustering on the data set with K=1 by a Kmeans algorithm, and finding out an optimal clustering center.
In other embodiments, the server may configure a new host-guest joint check for the management terminal, where the host-guest joint check is performed only for a single object in the current checking process, and initiates a synchronous check for the object while one task checks for the host, so as to complete the problem handling of multiple objects, and the server configures a solid adding and iterative checking flow and logic, and adds functions of setting host-guest check entry, host-guest check result check, and host-guest joint check. The above-described setting may be directly configured at a different manager management terminal.
In other embodiments, the server is further configured to set an intelligent pre-checking customization function, and each industry authority formulates an intelligent pre-checking scene according to the service requirement. The data of the intelligent management terminal are subjected to cross comparison, and by means of the data collision comparison of the two parties, a lawyer management platform and a national enterprise responsible person database, a lawyer list of a company responsible for high management, directors and supervision of the illegal is screened out, and special inspection is initiated on suspected illegal persons. And carrying out data exchange through a big data management data center, automatically matching jurisdiction units according to address information and the like, and automatically adding corresponding management labels.
The server is provided with an early warning prompt function which can be applied to a PC end, the server is provided with related rules such as expiration of a medicine operation license, and the like, a manager is automatically reminded after the corresponding rules are triggered, related suspicious point information is listed, and when a management task is decomposed, the related suspicious point information is pushed to a management terminal, so that the manager can notice the related early warning information conveniently to manage better; setting early warning prompt information, selecting a suitable department range and an early warning prompt period, and automatically disabling the expiration of the prompt period.
It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiment method may be implemented by a computer program to instruct related hardware, where the program may be stored in a computer readable storage medium, and the program may include the above-described embodiment method when executed. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (RandomAccess Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, the components may be, but are not limited to: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Furthermore, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.

Claims (5)

1. An enterprise information processing system based on big data technology is characterized in that: the system comprises a server and a management terminal, wherein the management terminal and the server form a communication network, and the management terminal is provided with a message unit which is used for message receiving management and is used for information interaction between the management terminal and the server as well as between the management terminal and other management terminals;
the server stores enterprise information and management information, the server performs text recognition and extraction on the enterprise information and the management information, obtains cluster information under different enterprise type information, matches historical inspection tasks according to the cluster information, and obtains corresponding inspection task sheets under different cluster information;
the server sets different management terminal label information according to different task attributions; distinguishing a manager management terminal and a task execution management terminal according to the label information; the manager management terminal is used for executing the review of the tasks while executing the inspection tasks, and sending prompt messages to different task execution management terminals according to the cooperative jump relation among the sub-processes of the inspection tasks, so as to prompt the sub-processes of the inspection tasks to be processed;
the task execution management terminal acquires a message sent by a server or a manager management terminal in task execution, the task execution management terminal configures a message query engine, a monitor is arranged to set a cache queue, archiving query is operated, the cache message is pulled out from the queue, and the message is processed in an asynchronous mode;
the server decomposes the issued task information, issues tasks through different task management configurations, and the task management configurations are divided into My tasks and task management according to different user rights, and adaptively endow different identification information to the management terminal; different virtual management terminal clusters are set according to the task management configuration information, and one management terminal can be attributed to a plurality of different manager management terminals; based on task attribute information, the server distributes communication capacity and storage space for different management terminals, and ensures tracking and recording of real-time task information; when the server distributes tasks, the tasks are divided into special inspection, instant inspection and double random management according to the attribute types of the tasks, wherein the double random management comprises the following steps: the management terminal acquires a corresponding task processing form, the server records the task attribution form of the management terminal, the records of the cross forms are implicitly indexed, and the implicit index is to set different table item forms and is sent to different management terminals; pushing the index relation among the task forms to a manager management terminal with task review attributes; and when the matching value is larger than a threshold value, continuing task flow processing, otherwise, configuring an audit flow event, submitting the audit flow event together with a corresponding check record and initiating an audit application.
2. The system of claim 1, further characterized by: the management terminal also comprises a business approval unit, wherein the business approval unit is used for business approval management, performs classification management on various business approval item contents required to be submitted by checking task application, punishment decision approval and collaborative investigation business, and provides related approval operation functions.
3. The system of claim 2, further characterized by: the server configures different identification information for the management terminal, wherein the identification information is also used for distinguishing a general function and a task attribution function by the management terminal, and carrying out task hierarchical management on the inquiry and triggering rights of the data information.
4. A system as recited in claim 3, further characterized by: the server terminal configures a task rechecking function for the manager management terminal, provides authority for the manager management terminal to view global tasks and carry out relevant tracking management on the tasks, and carries out joint recommendation on other related tasks according to the real-time task propulsion condition.
5. A business information management processing method based on big data, which processes business information and management information by using the system according to any one of claims 1-3.
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