CN117291556A - Big data cloud management system - Google Patents

Big data cloud management system Download PDF

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CN117291556A
CN117291556A CN202310360835.7A CN202310360835A CN117291556A CN 117291556 A CN117291556 A CN 117291556A CN 202310360835 A CN202310360835 A CN 202310360835A CN 117291556 A CN117291556 A CN 117291556A
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data
information
enterprise
management
module
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罗东永
孙强
郭凯
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Xuzhou Zhiwang Information 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
    • G06Q10/10Office automation; Time management
    • G06Q10/105Human resources
    • 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02Banking, e.g. interest calculation or account maintenance
    • 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/125Finance or payroll
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification

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Abstract

The invention discloses a big data cloud management system, which particularly relates to the big data field, and comprises a human resource management module, a terminal collecting module, a distributed cloud storage module and a bank-enterprise direct connection module, wherein the human resource management module comprises personnel information management and personnel information human resource information, and a corresponding subset is added to the information to realize independent importing and exporting of data. According to the invention, the business data of the production, finance and other aspects of the enterprise are effectively integrated on one management platform, and related data information is more standardized, systemized and integrated through the system, and the information is utilized to inherit the information flow and fund flow of the enterprise, so that the operational coordination of the enterprise is improved, and the performance of the enterprise is optimized.

Description

Big data cloud management system
Technical Field
The invention relates to the technical field of big data, in particular to a big data cloud management system.
Background
Under the background of rapid development of socioeconomic performance, enterprises are also rapidly developed, enterprise scale is continuously expanded, under the condition, human resource management and financial information management of enterprises are more and more difficult, management levels are more and more in enterprises with certain scale, institutions are relatively complex, in the management process, if improper problems exist in personnel configuration, responsibility of operation on posts is ambiguous, staff loss is caused, leadership of departments leading management staff is also reduced, work enthusiasm of staff is increased to the end of the month, certain influence is finally brought to the development of the enterprises, the existing enterprises are not good in financial management, information technology development is not deep enough, and financial operation cost in financial management is higher.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a big data cloud management system, which solves the problems set forth in the above-mentioned background art through a human resource management module.
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a human resource management module, a terminal collecting module, a distributed cloud storage module and a bank and enterprise direct connection module, wherein the human resource management module comprises human resource information of staff information management and personnel information, corresponding subsets are added to the human resource information, independent import and export of data are achieved, the terminal collecting module collects real-time states of working equipment in an enterprise and business data of all departments in the enterprise, the data are stored in the distributed cloud storage module, the distributed cloud storage module stores the data through the distributed cloud, authority setting is conducted on an administrator in the enterprise, the distributed cloud storage module is in telecommunication connection with other modules, the bank and enterprise direct connection module establishes integration of banks in enterprise financial management, the enterprise and bank direct business transaction is achieved, the image management module compresses video analog signals into accurate image files for filling of enterprise reimbursement certificates and face recognition of authority, the network reimbursement module achieves information transmission through video signal compression technology of the image management module, and the enterprise reimbursement function of the information is achieved through the network reimbursement module, and the staff information is assigned with a calculation method.
In a preferred embodiment, the human resource management module includes personnel information management and personnel information, the personnel information management includes full-period business management of personnel, the personnel information management includes that personnel can click options to be checked and all information of personnel during the period is queried in the human resource management module.
In a preferred embodiment, the terminal collecting module is divided into two units of work monitoring and data exchange, the work monitoring monitors the characteristic data of the equipment attribute, state and behavior of the electronic elements and the working equipment in the enterprise, the data exchange unit includes business data, task completion conditions and product data of the internal data and other departments of the enterprise, the terminal equipment performs full-element connection on the data related to a big data system in a wired and wireless mode, end-to-end data transmission is realized, virtual-real mapping of physical space and digital space business monitoring is formed, the collected real-time online data is stored in an enterprise real-time data service library, and other various data are stored in an enterprise private cloud, public cloud and mixed cloud through data management.
In a preferred embodiment, the distributed cloud storage module connects N virtual storage devices hosted by a third party to a storage resource pool formed on an existing network, after the N virtual storage devices are automatically allocated successfully by a system, the N virtual storage devices are provided for corresponding transport library access addresses, ports and database names of common users of a company, an advanced manager sets authority of a cloud database of the common manager through a management unit, the distributed cloud storage module comprises setting an IP address of a binding terminal node, so that the bound IP has access to the selected cloud database, setting initialized user names and login conditions for the common users, setting N partitions according to the scale of the cloud database, configuring corresponding copies of shared data element keys indicating the partitions in which the data are located, defining master-slave nodes, each node holds copies of the same data, adopting a redundancy algorithm, taking the M copies of the data into a multiple linear equation set, calculating N copies of check data, storing the m+n copies of the data, and enabling the multiple copies of the data to be capable of being influenced by multiple linear equations when the multiple copies of the data are damaged, wherein m+n is m=1, n+m+2, m+1, m+2, and m+1.
In a preferred embodiment, the bank-enterprise direct connection module establishes integration of a bank and financial management of an enterprise, the enterprise maintains payment information of a payment certificate to be complete, the enterprise comprises a payee name, an account number and bank information, operation of approval passing, approval canceling and approval rejecting can be carried out, an operation log of staff is recorded, bidirectional information traceability is achieved, an interaction log of the bank-enterprise direct connection module and bank system data is recorded, a log inquiring and abnormal early warning function is provided, data of both-side transaction can be sent at fixed time, the data is sent to the bank system according to an interface defined by the two sides, the data comprising bank processing result information, account balance information and transaction detail information is received, the payment processing state is updated according to the payment result information fed back by the bank system, associated accounting information is updated to the system according to balance and transaction detail information fed back by the bank system for data inquiring and analyzing, payment instructions for bank rejecting can be automatically returned to an approval link according to a bank return code definition, and payment failure information can be modified according to the payment failure information fed back by monitoring and the bank failure.
In a preferred embodiment, the image management module compresses the video analog signal into an accurate image file, can be used for uploading and verifying reimbursement sheets and reimbursement certificates of enterprises, can be used for facial recognition functions of various authorities, provides detailed data information, market information and client information query functions, and can be used for real-time query by querying personnel with relevant levels of access authorities.
In a preferred embodiment, the network reimbursement module inputs the serial number of the financial management personnel in the human resource management module, performs account book selection, uploads the image and data information, inputs the electronic bill serial number and the personal information by the common staff, and the module automatically generates reimbursement certificates.
In a preferred embodiment, the enterprise management module performs instantiation processing on file information objects of staff, takes the file information objects as staff, performs assignment on information of different categories, obtains related data by calling object information, performs instantiation processing on the objects, performs assignment on project attributes, calls a creating method of class objects, establishes a new attendance scheme, obtains rule parameter storage data, performs validity check on attendance rules in a system environment, performs instantiation processing on wage rules, enters formulas according to wage calculation modes of different staff, and calls a method for calculating wages to calculate wages and check wages of the staff.
The invention has the technical effects and advantages that:
according to the invention, the business data of the production, finance and other aspects of the enterprise are effectively integrated on a management platform, related data information is more standardized, systemized and integrated through the system, the information flow and the fund flow of the enterprise are inherited by utilizing informatization, the operational coordination of the enterprise is improved, the performance of the enterprise is optimized, the management level of the enterprise is effectively improved through the management system, the information data of the enterprise is intensively constructed, and the quick decision and the response capability of management of each base layer are improved.
Drawings
Fig. 1 is a block diagram of a system architecture of the present invention.
Fig. 2 is a flow chart of the system of the present invention.
Fig. 3 is a flowchart of the algorithm of the present invention.
Fig. 4 is a logic diagram of the pay-and-pay of the present invention.
Description of the embodiments
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Examples
The embodiment provides a big data cloud management system as shown in fig. 1, which comprises a human resource management module, a terminal collecting module, a distributed cloud storage module and a bank enterprise direct connection module, wherein the human resource management module comprises personnel information management and personnel information human resource information, a corresponding subset is added to the personnel information, independent importing and exporting of data are realized, the terminal collecting module collects real-time states of internal working equipment of an enterprise and business data of various departments in the enterprise, the data are stored in the distributed cloud storage module, the distributed cloud storage module stores data through the distributed cloud storage module, authority setting is carried out on an internal manager of the enterprise, the distributed cloud storage module is connected with other modules through telecommunication, the bank enterprise direct connection module establishes bank financial management integration, the image management module compresses video analog signals into accurate image files for reimbursement and face recognition of enterprise reimbursement certificates, the network reimbursement modules store the data into the distributed image files, the distributed cloud storage module carries out authority setting through the distributed cloud storage module, the distributed cloud storage module carries out calculation and calculation of the information of the distributed image management information of the enterprise, and the method of calculating and calculating the business information of the business information is realized by invoking the technical object of the enterprise.
As shown in fig. 2, the embodiment provides a method for a cloud management system for big data, which specifically includes the following steps:
101. the personnel information management and personnel information-containing human resource information are included, corresponding subsets are added to the information, and independent importing and exporting of data are realized;
in this embodiment, a human resource management module is specifically described, where human resource information including employee information management and personnel information is included in the human resource management module, and by adding a corresponding subset to these information, independent importing and exporting of data are implemented, the staff information management refers to that the staff, additional labor information, organization allocation, personnel events, political face information, work histories, task monitoring, the additional information of the personnel at home, off-duty information, health information, disability information, punishment information and information of the retired staff are subjected to new addition, modification, deletion and inquiry of related information in a human resource management module, the personnel information management comprises full-period business management of the personnel at home, and the manager can click options to be checked to inquire all information of the staff during the staff at home in the human resource management module.
102. Collecting the real-time state of working equipment in an enterprise and business data of various departments in the enterprise;
in this embodiment, a specific description is to be given to a terminal aggregation module, where the terminal aggregation module is divided into two units, namely, a work monitoring unit and a data exchange unit, the work monitoring unit monitors characteristic data of device attributes, states and behaviors of electronic elements and working devices in an enterprise, the data is subdivided into real-time monitoring data, operation parameters and performance information of the devices, the data exchange unit includes service data, task completion conditions and product data of the internal data of the enterprise and other departments, the terminal device performs all-element connection on data related to a big data system in a wired and wireless manner, so as to realize end-to-end data transmission, form virtual-real mapping of physical space and digital space service supervision, and the collected real-time online data is stored in an enterprise real-time data service library, and other various data are stored in an enterprise private cloud, public cloud and a hybrid cloud through data management.
103. Storing the data, setting the management authority of related users, and configuring a multi-element linear equation to retrieve damaged data;
in this embodiment, a specific description needs to be provided about a distributed cloud storage module, the distributed cloud storage module connects N virtual storage devices hosted by a third party to a storage resource pool formed on an existing network, after the distributed cloud storage module is automatically allocated successfully by a system, the distributed cloud storage module provides corresponding addresses, ports and database names for transport libraries accessed by common users of a company, an advanced manager sets authority of a cloud database of the common manager through a management unit, the distributed cloud storage module comprises an IP address binding terminal nodes, so that the bound IP has a right to access a selected cloud database, an initialized user name and login conditions are set for the common users, the system sets N partitions according to the scale of the cloud database, configures corresponding copies of shared data element keys indicating which partition the data is located in, defines master-slave nodes, each node holds copies of the same data, adopts a redundancy algorithm, takes M copies of data into a multiple linear equation set, calculates N copies of check data, stores m+n copies of data, and can be read back by multiple linear equations of x.m.1+n.m.1, 1.m.2+2, and 1.m.1.1.
104. The integration of the bank and the enterprise financial management is established, and the direct business transaction is realized;
in this embodiment, a specific illustration is a bank-enterprise direct connection module, the bank-enterprise direct connection module establishes an integration of bank and enterprise financial management, the enterprise maintains the payment information of the payment certificate to be complete, the payment information comprises a payee name, an account number and bank information, the operations of approval passing, approval canceling and approval rejecting can be performed, an operation log of staff is recorded, bidirectional information traceability is realized, an interaction log of the bank-enterprise direct connection module and bank system data is recorded, a log inquiring and abnormal early warning function is provided, data of both-side transaction can be sent at fixed time according to set time, the data is sent to a bank system according to an interface defined by both sides, the data from the bank system comprises bank processing result information, account balance information and transaction detail information, the payment processing state is updated according to the payment result information fed back by the bank system, the associated accounting certificate information is updated to the system, the balance and the transaction detail information fed back to the system are used for data inquiring and analyzing, the payment instruction aiming at the bank rejecting can be automatically returned to the bank according to the definition of the payment failure, and the payment failure information can be obtained by the bank and the payment failure information is modified according to the payment failure.
105. Compressing the video analog signals into accurate image files for uploading enterprise reimbursement certificates and facial recognition functions of authorities;
in this embodiment, it is specifically to be described that the image management module compresses the video analog signal into an accurate image file, which can be used for uploading and verifying the reimbursement bill and reimbursement certificate of the enterprise, and can be used for the face recognition function of various authorities, the module provides the query function of detailed data information, market information and client information, and the query personnel has relevant level of access authorities, so that real-time query can be performed.
106. Uploading reimbursement information and generating reimbursement certificates through a network;
in this embodiment, a specific description is provided of a network reimbursement module, where the network reimbursement module inputs a serial number of a financial manager in a human resource management module, performs account book selection, uploads image and data information, and a common employee inputs an electronic document serial number and personal information, and the module automatically generates reimbursement certificates.
107. And carrying out instantiation processing on employee information data, and calling a method for calculating wages to carry out employee wages calculation.
In this embodiment, an enterprise management module specifically needs to be described, where the enterprise management module performs instantiation processing on file information objects of employees, uses the file information objects as all employees, performs assignment on information of different categories, obtains related data by calling object information, performs instantiation processing on objects, performs assignment on item attributes, calls a creating method of class objects, creates a new attendance scheme, obtains rule parameter storage data, performs validity check on attendance rules in a system environment, performs instantiation processing on wages rules, performs calculation according to a wages calculation mode input formula of different employees, and calls a wages calculation method of checking the employees.

Claims (10)

1. The big data cloud management system is characterized in that: the system comprises a human resource management module, a terminal collecting module, a distributed cloud storage module and a bank and enterprise direct connection module, wherein the human resource management module comprises human resource information of staff information management and personnel information, corresponding subsets are added to the human resource information, independent import and export of data are achieved, the terminal collecting module collects real-time states of working equipment in an enterprise and business data of all departments in the enterprise, the data are stored in the distributed cloud storage module, the distributed cloud storage module stores the data through the distributed cloud, authority setting is conducted on an administrator in the enterprise, the distributed cloud storage module is in telecommunication connection with other modules, the bank and enterprise direct connection module establishes integration of banks in enterprise financial management, the enterprise and bank direct business transaction is achieved, the image management module compresses video analog signals into accurate image files for filling of enterprise reimbursement certificates and face recognition of authority, the network reimbursement module achieves information transmission through video signal compression technology of the image management module, and the enterprise reimbursement function of the information is achieved through the network reimbursement module, and the staff information is assigned with a calculation method.
2. The big data cloud management system of claim 1, wherein: the human resource management module comprises staff information management and personnel information, wherein the staff information management and personnel information comprises the personnel information management module, the personnel information management is to carry out new addition, modification, deletion and inquiry of related information in the personnel information management module through adding corresponding subsets to the information, the personnel information management comprises full-period business management of personnel, and the management personnel can click options to be checked to inquire all information of staff during the staff in the personnel information management module.
3. The big data cloud management system of claim 1, wherein: the terminal collecting module is divided into two units, namely a working monitoring unit and a data exchange unit, wherein the working monitoring unit is used for monitoring the characteristic data of equipment attributes, states and behaviors of electronic elements and working equipment in an enterprise, the working monitoring unit is subdivided into real-time monitoring data, running parameters and performance information of the equipment, the data exchange unit comprises business data of the enterprise and other departments, task completion conditions and product data, the terminal equipment is used for carrying out full element connection on data related to a big data system in a wired and wireless mode, end-to-end data transmission is realized, virtual-real mapping of physical space and digital space business supervision is formed, the collected real-time online data is stored in an enterprise real-time data service library, and other various data are stored into enterprise private cloud, public cloud and mixed cloud through data management.
4. The big data cloud management system of claim 1, wherein: the distributed cloud storage module connects a plurality of virtual storage devices hosted by n third parties to a storage resource pool formed on the existing network, after the system is automatically allocated successfully, the distributed cloud storage module provides corresponding addresses, ports and database names for transport library access of common users of companies, an advanced manager sets authority of a cloud database of the common manager through a management unit, the distributed cloud storage module comprises setting an IP address of a binding terminal node, enabling the binding terminal node to have access to the selected cloud database, setting initialized user names and login conditions for the common users, setting n partitions according to the scale of the cloud database by the system, configuring corresponding copies of shared data element keys indicating which partition the data is located, defining master-slave nodes, and each node holds copies of the same data.
5. The big data cloud management system of claim 1, wherein: and (3) splitting one part of data into M parts by adopting a redundancy algorithm, taking the M parts of data into a multi-element linear equation set, calculating N parts of check data, storing the M+N parts of data, and finding out the damaged data through a multi-element linear equation when the multiple parts of data are damaged, wherein the whole data are X, the whole data are influenced by N independent variables M parts of data M1, M2 and M3.
6. The big data cloud management system of claim 1, wherein: the bank-enterprise direct connection module establishes the integration of bank and enterprise financial management, the enterprise maintains the payment information of the payment certificate completely, the enterprise comprises a payee name, an account number and bank information, the operation of approval passing, approval canceling and approval rejecting can be carried out, the operation log of staff is recorded, the bidirectional information traceability is realized, the interaction log of the bank-enterprise direct connection module and bank system data is recorded, a log inquiring and abnormal early warning function is provided, the data of the transaction of the two parties can be sent at regular time according to the set time, the data is sent to the bank system according to an interface defined by the two parties, the payment processing state is updated according to the payment result information fed back by the bank system, the associated accounting certificate information is updated according to the bank processing result information, the account balance information and the transaction detail information fed back by the bank system, the payment instruction aiming at the bank rejecting can be automatically returned to the supplementary payment link according to the definition of the bank return code, the payment acquiring failure and abnormal payment failure information can be modified according to the bank failure information.
7. The big data cloud management system of, wherein: the image management module compresses the video analog signals into accurate image files, can be used for uploading and verifying reimbursement sheets and reimbursement certificates of enterprises, can be used for facial recognition functions of various authorities, provides detailed data information, market information and client information query functions, and can be used for real-time query by query personnel with related-level access authorities.
8. The big data cloud management system of, wherein: the network reimbursement module inputs the serial numbers of financial management staff in the human resource management module, performs account book selection, uploads image and data information, and common staff inputs the serial numbers of electronic documents and personal information, and the module automatically generates reimbursement certificates.
9. The big data cloud management system of, wherein: the enterprise management module carries out instantiation processing on file information objects of staff, takes the file information objects as all staff, carries out assignment on information of different categories, obtains related data by calling object information, carries out instantiation processing on objects, carries out assignment on project attributes, calls a creation method of class objects, establishes a new attendance scheme, obtains rule parameter storage data, carries out validity check on attendance rules in a system environment, carries out instantiation processing on wage rules, enters formulas according to wage calculation modes of different staff, and calls a wage calculation method to calculate and check wages of staff.
10. The cloud management system for big data according to, comprising the following specific operation steps:
s1, personnel information management and personnel information are included, corresponding subsets are added to the personnel information, and independent importing and exporting of data are achieved;
s2, collecting real-time states of working equipment in the enterprise and business data of departments in the enterprise;
s3, storing the data, setting the management authority of related users, configuring a multi-element linear equation, and recovering damaged data;
s4, establishing integration of banks and enterprise financial management, and realizing direct business transaction;
s5, compressing the video analog signals into accurate image files for uploading enterprise reimbursement certificates and performing authority face recognition;
s6, uploading reimbursement information and generating reimbursement certificates through a network;
s7, carrying out instantiation processing on employee information data, and calling a method for calculating wages to carry out employee wages calculation.
CN202310360835.7A 2023-04-06 2023-04-06 Big data cloud management system Pending CN117291556A (en)

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