CN115481108B - Management method and system for same data among different departments - Google Patents
Management method and system for same data among different departments Download PDFInfo
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- CN115481108B CN115481108B CN202211137409.9A CN202211137409A CN115481108B CN 115481108 B CN115481108 B CN 115481108B CN 202211137409 A CN202211137409 A CN 202211137409A CN 115481108 B CN115481108 B CN 115481108B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/568—Computer malware detection or handling, e.g. anti-virus arrangements eliminating virus, restoring damaged files
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a management method and a system for the same data among different departments, wherein the method comprises the following steps: the method comprises the steps of obtaining operating system mapping data of each department, configuring data management and control rules for each department based on the operating system mapping data of each department, extracting original data parameters of target data and storing the data parameters, transmitting the target data to the operating system of each department after the storage is finished, carrying out hierarchical management and control on the target data according to the data management and control rules of each department, and carrying out unified data management and control according to the data management and control rules of each operating system comprehensively by configuring unique data management and control rules for the operating system of each department according to the system mapping data of each operating system of each department, so that the content consistency and the integrity of the data among different departments of the same enterprise are ensured.
Description
Technical Field
The present invention relates to the field of data management technologies, and in particular, to a method and a system for managing the same data among different departments.
Background
In recent years, with the development of cloud computing technology, cloud computing has become a development hotspot in the industry, and cloud computing service platforms of various large manufacturers at home and abroad have come into use in a plurality of fields such as science, education, culture, sanitation, government, high-performance computing, electronic commerce, and internet of things. The scale and the number of the data centers are gradually increased, with the improvement of the hardware computing capacity of the physical machine, the virtualization technology is gradually mature, departments start to gradually transfer services to the virtual cloud platform, and the departments use the diversified functions of the cloud platform to enable the upper and lower departments in each cloud platform to realize the data sharing and management functions, so that a plurality of enterprises can share data through the cloud platform, the data interaction efficiency among the departments is greatly enriched, and the rapid development of the enterprises is realized, but the method has the following problems: because the operating systems of all departments are different but the management mode of the data is fixed, the same data cannot be uniformly managed and controlled on different operating systems, so that the consistency and the integrity of the data cannot be ensured during the management and control.
Disclosure of Invention
Aiming at the problems shown in the prior art, the invention provides a management method and a management system for the same data among different departments, which are used for solving the problems that the consistency and the integrity of the data cannot be ensured when the data are managed and controlled due to the fact that the same data cannot be uniformly managed and controlled on different operating systems because the operating systems of the departments are different but the management mode of the data is fixed.
A method of managing different departments for the same data, comprising the steps of:
acquiring operating system mapping data of each department;
configuring data management and control rules for each department based on the operating system mapping data of the department;
extracting original data parameters of target data, storing the original data parameters, and transmitting the target data to an operating system of each department after the storage is completed;
and carrying out hierarchical management and control on the target data according to the data management and control rule of each department.
Preferably, the acquiring the operating system mapping data of each department includes:
detecting terminal parameters of a data storage terminal of each department;
determining a carrying operating system of the data storage terminal of each department according to the terminal parameters;
acquiring system core parameters corresponding to a carrying operating system of a data storage terminal of each department and basic authority parameters related to data storage modification;
and mapping the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the basic authority parameters related to the data storage modification by using a preset mapping mode to obtain the operating system mapping data of the department.
Preferably, the configuring the data management rule for each department based on the operating system mapping data of the department includes:
determining an attribute interval of a management and control data object of the operating system according to the operating system mapping data of each department;
acquiring corresponding control dimension parameter values according to each attribute value of the attribute interval of the management and control data object of the operating system of each department;
determining the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments based on the control dimension parameter values;
and configuring strong data management and control rules and weak data management and control rules for each department according to the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments.
Preferably, the extracting and storing the original data parameters of the target data, and transmitting the target data to the operating system of each department after the storing is completed, includes:
extracting core metadata of the target data;
acquiring original data parameters of target data based on the core metadata, encrypting the original data parameters by using a preset encryption mode, and storing after encryption is finished;
acquiring node information corresponding to network nodes of the operating systems of each department, and realizing network connection with each operating system based on the node information;
and compressing and transmitting the target data to an operating system of each department.
Preferably, the step of hierarchically controlling the target data according to the data controlling rule of each department includes:
determining a strong display data identifier of the target data in the first-level department according to a strong data management and control rule of the first-level department;
generating a weak display data identifier of each lower department according to the modification parameters of each lower department to the target data and the weak data management and control rules corresponding to the lower department;
the strong display data identification of the first level department and the weak display data identification of each lower level department are combined into the data management and control rule of the next level department;
and controlling the target data in the operating system of each department according to the strong display data identification and the weak display data identification of the target data in each department.
Preferably, the mapping, by using a preset mapping manner, the system core parameter corresponding to the onboard operating system of the data storage terminal of each department and the basic parameter related to the data storage modification to obtain the operating system mapping data of the department includes:
obtaining a mapping rule corresponding to the preset mapping mode;
generating a mapping program according to the mapping parameters corresponding to the mapping rules;
extracting a system core parameter corresponding to a carrying operating system of a data storage terminal of each department and a source code item in a basic parameter related to data storage modification based on the mapping rule;
and carrying out data mapping on the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the source code items in the basic parameters related to the data storage modification by using the mapping program so as to obtain the operating system mapping data of the department.
Preferably, the determining the attribute interval of the management and control data object of the operating system according to the operating system mapping data of each department includes:
determining data entity decision parameters and data entity operation parameters of the operation system according to the operation system mapping data of each department;
respectively constructing a data decision model and a data operation model corresponding to the operation system of each department based on the data entity decision parameters and the data entity operation parameters;
acquiring a first characteristic and a second characteristic of a management and control data object of the operating system of each department through respective output results of a data decision model and a data operation model corresponding to the operating system of the department;
and acquiring the attribute interval of the management and control data object of the operating system of each department according to the first characteristic and the second characteristic of the management and control data object of the operating system of the department.
Preferably, the method further comprises:
acquiring a preset dynamic data classification strategy corresponding to an operating system of each department;
determining system configuration information of each level according to a preset dynamic data classification strategy corresponding to an operating system of each department;
generating data operation rights of each level based on the system configuration information of the level;
and setting corresponding data management and control authorities for the system work account corresponding to each level according to the data operation authorities of each level of the operating system of each department and the data management and control rules of the department.
Preferably, the determining, according to the strong data management rule of the first level department, the strong display data identifier of the target data in the first level department includes:
vectorizing the target data to obtain corresponding data vectors;
classifying the target data by using a preset classification model based on the data vector to obtain classification categories;
judging the data service level and the data attribute of the target data according to the classification category;
extracting a plurality of pieces of sequence data of the target data according to the data attribute;
quality monitoring is carried out on the plurality of pieces of sequence data, and low-quality sequence data and high-quality sequence data are determined according to monitoring results;
determining a control level of target data based on the data service level, and determining a feature extraction amount corresponding to the target data according to the control level;
acquiring data characteristic distribution in the high-quality sequence data, and screening out a target number of core data characteristics according to the data characteristic distribution;
determining an expansion tag of each core data characteristic, screening out a strong data management and control rule according to the expansion tag, and formulating an optimal core data characteristic of a strong display data identifier;
determining a first data identification representation of the best core data characteristic according to the strong data management and control rule;
acquiring main reference program information of an operating system corresponding to a first-level department, and determining data service information of the operating system corresponding to the first-level department according to the main application program information;
testing the first data identifier according to the data service information of the operating system corresponding to the first-level department to represent the implementation distribution condition of different data operation services of the operating system corresponding to the first-level department;
and determining whether a first data identification representation of the best core data characteristic is available according to the implementation distribution condition, if yes, uploading the first data identification representation to a corresponding operating system of a first-level department and receiving a strong display data identification based on the first data identification representation formulated by the first-level department, otherwise, reformulating a second data identification representation of the best core data characteristic until the second data identification representation is determined to be available.
A system for managing the same data between different departments, the system comprising:
the acquisition module is used for acquiring the operating system mapping data of each department;
the configuration module is used for configuring data management and control rules for each department based on the operating system mapping data of the department;
the transmission module is used for extracting and storing original data parameters of target data, and transmitting the target data to an operating system of each department after the storage is finished;
and the management module is used for carrying out hierarchical management and control on the target data according to the data management and control rule of each department.
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 may be realized and attained by the structure particularly pointed out in the written description and 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.
FIG. 1 is a workflow diagram of a method of managing different departments for the same data provided by the present invention;
FIG. 2 is another workflow diagram of a method of managing different departments for the same data provided by the present invention;
FIG. 3 is a further workflow diagram of a method of managing different departments for the same data in accordance with the present invention;
fig. 4 is a schematic structural diagram of a management system for the same data among different departments according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In recent years, with the development of cloud computing technology, cloud computing has become a development hotspot in the industry, and cloud computing service platforms of various large manufacturers at home and abroad have come into use in a plurality of fields such as science, education, culture, sanitation, government, high-performance computing, electronic commerce, and internet of things. The scale and the number of the data centers are gradually increased, with the improvement of the hardware computing capacity of the physical machine, the virtualization technology is gradually mature, departments start to gradually transfer services to the virtual cloud platform, and the departments use the diversified functions of the cloud platform to enable the upper and lower departments in each cloud platform to realize the data sharing and management functions, so that a plurality of enterprises can share data through the cloud platform, the data interaction efficiency among the departments is greatly enriched, and the rapid development of the enterprises is realized, but the method has the following problems: because the operating systems of all departments are different but the management mode of the data is fixed, the same data cannot be uniformly managed and controlled on different operating systems, so that the consistency and the integrity of the data cannot be ensured during the management and control. In order to solve the above-described problems, the present embodiment discloses a management method between different departments for the same data.
A method of managing the same data among different departments, as shown in fig. 1, includes the steps of:
step S101, acquiring the mapping data of the operating system of each department;
step S102, configuring data management and control rules for each department based on the operating system mapping data of the department;
step S103, extracting original data parameters of target data and storing the original data parameters, and transmitting the target data to an operating system of each department after the storage is completed;
and step S104, carrying out hierarchical control on the target data according to the data control rule of each department.
The working principle of the technical scheme is as follows: acquiring the operating system mapping data of each department, configuring data management and control rules for each department based on the operating system mapping data of each department, extracting original data parameters of target data and storing the original data parameters, transmitting the target data to the operating system of each department after the storage is finished, and carrying out hierarchical management and control on the target data according to the data management and control rules of each department.
The beneficial effects of the technical scheme are as follows: the unique data management and control rule is configured for the operating system of each department according to the system mapping data of the operating system of each department, unified data management and control can be comprehensively carried out according to the data management and control rule of each operating system, the content consistency and the integrity of the data among different departments of the same enterprise are ensured, and the problem that the consistency and the integrity of the data cannot be ensured when the data are managed and controlled due to the fact that the same data cannot be uniformly managed and controlled on different operating systems because the operating systems of the departments are different but the management mode of the data is fixed in the prior art is solved.
In this embodiment, the step of controlling the target data according to the data control rule of each department may refer to the data value of the target data and the terminal security index of each department to perform data control, which specifically includes:
extracting a plurality of attribute values of target data, and inputting each attribute value into a preset situation model to obtain a security situation quantized value corresponding to the attribute value;
carrying out data analysis on the target data, and determining domain distribution characteristics and entity distribution characteristics of the target data according to analysis results;
extracting the effective reference data of the target data, and determining the effective data proportion of the target data according to an extraction result;
calculating a data value index of the target data according to the effective data proportion, the domain distribution characteristics and the entity distribution characteristics of the target data and the security situation quantized value corresponding to each attribute value:
wherein Q is represented as a data value index of target data, a is represented as a weight of confidentiality of the target data, f 1 () Expressed as a preset confidentiality evaluation function, alpha is expressed as an overall privacy coefficient of the data type to which the target data belongs, N is expressed as the number of attribute values, i is expressed as the ith attribute value, and P i A security posture quantification value expressed as an ith attribute value, b is expressed as a weight of target data integrity, f 2 () Expressed as a preset data integrity evaluation function, beta is expressed as data integrity of data, D is expressed as domain distribution characteristics of target data, e is expressed as a data domain distribution evaluation index, C is expressed as entity distribution characteristics of target data, x is expressed as a data entity distribution evaluation indexThe label, c, represents the weight of the availability of the target data, s represents the effective data proportion of the target data;
adding an identity verification condition to the data management and control rule of each department according to the data value index of the target data;
acquiring system vulnerabilities of the operating system terminals of each department;
determining the first security threat existing and the second security threat potentially existing of the operating system terminal of each department and the probability of each second security threat according to the system vulnerability;
calculating the terminal security index of each department according to the existing first security threat and the potential second security threat of the operating system terminal of the department and the probability of each second security threat:
wherein F is j Terminal security index expressed as the jth department, mj expressed as the number of existing first security threats of the operating system terminal of the jth department, l expressed as the ith existing first security threat, B l The threat level of the first security threat to the system security expressed as the ith existing first security threat, kj expressed as the number of potential second security threats of the operating system terminal of the jth department, d expressed as the d-th potential second security threat, H d Expressed as probability of occurrence, μ, of the d-th potential second security threat d Represented as the degree of damage, θ, to the system by the d-th potential second security threat j The security of the database of the operating system terminal expressed as the j-th department, e expressed as a natural constant, takes on a value of 2.72, delta j The data interaction frequency of the operating system terminal of the j department is represented, and phi is represented as Trojan invasion probability under the data interaction frequency;
and determining whether the terminal safety index of each department is greater than or equal to a preset threshold value, and adding terminal virus Trojan checking and killing conditions to target data management and control rules corresponding to target departments with terminal safety indexes smaller than the preset threshold value.
The beneficial effects of the technical scheme are as follows: the value of the target data can be accurately estimated by calculating the data value index of the target data so as to limit and control the target data, the privacy and the safety of the target data are ensured, furthermore, the stable storage and the control of the target data in the database in the operating system terminal of each department can be ensured by calculating the terminal safety index of each department and then adding virus searching and killing conditions in the data control rule, the invasion of Trojan horse or malicious tampering of the data is avoided, and the safety is improved.
In one embodiment, the acquiring the operating system mapping data of each department includes:
detecting terminal parameters of a data storage terminal of each department;
determining a carrying operating system of the data storage terminal of each department according to the terminal parameters;
acquiring system core parameters corresponding to a carrying operating system of a data storage terminal of each department and basic authority parameters related to data storage modification;
and mapping the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the basic authority parameters related to the data storage modification by using a preset mapping mode to obtain the operating system mapping data of the department.
The beneficial effects of the technical scheme are as follows: the core parameters and the data operation related parameters of the carrying operating system of each department are acquired to obtain the operating system mapping data of the department, so that the operating system data of each operating system can be completely and comprehensively mapped according to the most core parameters of the operating system, and a foundation is laid for the subsequent configuration of the data management and control rules.
In one embodiment, as shown in fig. 2, the configuring the data management rule for each department based on the operating system mapping data of the department includes:
step S201, determining an attribute interval of a management and control data object of an operating system according to the operating system mapping data of each department;
step S202, acquiring corresponding control dimension parameter values according to each attribute value of an attribute interval of a management and control data object of an operating system of each department;
step S203, determining the data service operation parameters of the operation system of each department and the upper and lower level relations between the departments based on the control dimension parameter values;
step S204, strong data management and control rules and weak data management and control rules are configured for each department according to the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments.
The beneficial effects of the technical scheme are as follows: the data management and control rule can be configured according to the preset operation parameters of the operation system of each department for managing and controlling the data, so that the transmission data can be completely received and displayed by each operation system, the suitability of the data management and control rule for each operation system is guaranteed, meanwhile, the integrity and consistency of the data are guaranteed when unified data are managed and controlled by different departments, each lower department can conduct lower-level management and control on the basis of the strong data management and control rule of the upper departments, the diversity management and control of the data can be maintained, and the practicability is further improved.
In one embodiment, as shown in fig. 3, the extracting and saving the original data parameters of the target data, and transmitting the target data to the operating system of each department after saving, includes:
step S301, extracting core metadata of the target data;
step S302, acquiring original data parameters of target data based on the core metadata, encrypting the original data parameters by using a preset encryption mode, and storing after encryption is finished;
step S303, acquiring node information corresponding to network nodes of the operating systems of each department, and realizing network connection with each operating system based on the node information;
and step S304, compressing the target data and transmitting the target data to an operating system of each department.
The beneficial effects of the technical scheme are as follows: the privacy and the safety of the data can be further ensured by encrypting the original data parameters, and further, the data transmission efficiency can be ensured and the network load of each operating system is reduced by compressing the target data and transmitting the target data to each operating system, so that the practicability is further improved.
In one embodiment, the step of hierarchically controlling the target data according to the data management rule of each department includes:
determining a strong display data identifier of the target data in the first-level department according to a strong data management and control rule of the first-level department;
generating a weak display data identifier of each lower department according to the modification parameters of each lower department to the target data and the weak data management and control rules corresponding to the lower department;
the strong display data identification of the first level department and the weak display data identification of each lower level department are combined into the data management and control rule of the next level department;
controlling the target data in the operating system of each department according to the strong display data identification and the weak display data identification of the target data in each department
The beneficial effects of the technical scheme are as follows: the department hierarchical management and control of the target data can be realized, and the practicability and the consistency and the integrity of the data are further improved.
In one embodiment, the mapping, by using a preset mapping manner, the system core parameter corresponding to the onboard operating system of the data storage terminal of each department and the basic parameter related to the data storage modification to obtain the operating system mapping data of the department includes:
obtaining a mapping rule corresponding to the preset mapping mode;
generating a mapping program according to the mapping parameters corresponding to the mapping rules;
extracting a system core parameter corresponding to a carrying operating system of a data storage terminal of each department and a source code item in a basic parameter related to data storage modification based on the mapping rule;
and carrying out data mapping on the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the source code items in the basic parameters related to the data storage modification by using the mapping program so as to obtain the operating system mapping data of the department.
The beneficial effects of the technical scheme are as follows: the mapping program can be generated to rapidly and stably map the system parameters of each operating system, so that the mapping stability and the mapping efficiency are improved, furthermore, the mapping data of each operating system can be obtained most intuitively by carrying out data mapping on the source code item, and the reference value of the mapping data is improved.
In one embodiment, the determining the attribute interval of the management data object of the operating system according to the operating system mapping data of each department includes:
determining data entity decision parameters and data entity operation parameters of the operation system according to the operation system mapping data of each department;
respectively constructing a data decision model and a data operation model corresponding to the operation system of each department based on the data entity decision parameters and the data entity operation parameters;
acquiring a first characteristic and a second characteristic of a management and control data object of the operating system of each department through respective output results of a data decision model and a data operation model corresponding to the operating system of the department;
and acquiring the attribute interval of the management and control data object of the operating system of each department according to the first characteristic and the second characteristic of the management and control data object of the operating system of the department.
The beneficial effects of the technical scheme are as follows: by constructing the data decision model and the data operation model of each operating system, the data parameters of the running data of each operating system can be accurately acquired, so that the attribute interval of the management and control data object of each operating system can be rapidly determined, and the stability and the practicability are improved.
In one embodiment, the method further comprises:
acquiring a preset dynamic data classification strategy corresponding to an operating system of each department;
determining system configuration information of each level according to a preset dynamic data classification strategy corresponding to an operating system of each department;
generating data operation rights of each level based on the system configuration information of the level;
and setting corresponding data management and control authorities for the system work account corresponding to each level according to the data operation authorities of each level of the operating system of each department and the data management and control rules of the department.
The beneficial effects of the technical scheme are as follows: the hierarchical data management and control authority allocation of each operating system can realize that the same department can manage the same data at the upper and lower levels, meanwhile, the integrity of the data is further ensured, and the practicability is further improved.
In one embodiment, the determining the strong display data identifier of the target data in the first level department according to the strong data management rule of the first level department includes:
vectorizing the target data to obtain corresponding data vectors;
classifying the target data by using a preset classification model based on the data vector to obtain classification categories;
judging the data service level and the data attribute of the target data according to the classification category;
extracting a plurality of pieces of sequence data of the target data according to the data attribute;
quality monitoring is carried out on the plurality of pieces of sequence data, and low-quality sequence data and high-quality sequence data are determined according to monitoring results;
determining a control level of target data based on the data service level, and determining a feature extraction amount corresponding to the target data according to the control level;
acquiring data characteristic distribution in the high-quality sequence data, and screening out a target number of core data characteristics according to the data characteristic distribution;
determining an expansion tag of each core data characteristic, screening out a strong data management and control rule according to the expansion tag, and formulating an optimal core data characteristic of a strong display data identifier;
determining a first data identification representation of the best core data characteristic according to the strong data management and control rule;
acquiring main reference program information of an operating system corresponding to a first-level department, and determining data service information of the operating system corresponding to the first-level department according to the main application program information;
testing the first data identifier according to the data service information of the operating system corresponding to the first-level department to represent the implementation distribution condition of different data operation services of the operating system corresponding to the first-level department;
and determining whether a first data identification representation of the best core data characteristic is available according to the implementation distribution condition, if yes, uploading the first data identification representation to a corresponding operating system of a first-level department and receiving a strong display data identification based on the first data identification representation formulated by the first-level department, otherwise, reformulating a second data identification representation of the best core data characteristic until the second data identification representation is determined to be available.
In this embodiment, the data traffic class is expressed as a storage and processing integrated class of target data;
the beneficial effects of the technical scheme are as follows: the data identification representation of the optimal core data characteristic corresponding to the operating system in the first-level department can realize the strong display data identification compatible with the operating system in the first-level department, so that the data management and control rule for the first-level department can more stably manage and control target data, and the stability is improved.
The embodiment also discloses a management system for the same data among different departments, as shown in fig. 4, the system comprises:
an obtaining module 401, configured to obtain operating system mapping data of each department;
a configuration module 402, configured to configure data management rules for each department based on the operating system mapping data of the department;
the transmission module 403 is configured to extract and store original data parameters of target data, and transmit the target data to an operating system of each department after the storage is completed;
and the management module 404 is used for hierarchically controlling the target data according to the data control rule of each department.
The working principle and the beneficial effects of the above technical solution are described in the method claims, and are not repeated here.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A method of managing the same data between different departments, comprising the steps of:
acquiring operating system mapping data of each department;
configuring data management and control rules for each department based on the operating system mapping data of the department;
extracting original data parameters of target data, storing the original data parameters, and transmitting the target data to an operating system of each department after the storage is completed;
performing hierarchical control on the target data according to the data control rule of each department;
the configuration data management rules for each department based on the operating system mapping data of the department comprise:
determining an attribute interval of a management and control data object of the operating system according to the operating system mapping data of each department;
acquiring corresponding control dimension parameter values according to each attribute value of the attribute interval of the management and control data object of the operating system of each department;
determining the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments based on the control dimension parameter values;
configuring a strong data management and control rule and a weak data management and control rule for each department according to the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments;
the determining the attribute interval of the management and control data object of the operating system according to the operating system mapping data of each department comprises the following steps:
determining data entity decision parameters and data entity operation parameters of the operation system according to the operation system mapping data of each department;
respectively constructing a data decision model and a data operation model corresponding to the operation system of each department based on the data entity decision parameters and the data entity operation parameters;
acquiring a first characteristic and a second characteristic of a management and control data object of the operating system of each department through respective output results of a data decision model and a data operation model corresponding to the operating system of the department;
and acquiring the attribute interval of the management and control data object of the operating system of each department according to the first characteristic and the second characteristic of the management and control data object of the operating system of the department.
2. The method for managing the same data among different departments according to claim 1, wherein the acquiring the operating system mapping data of each department includes:
detecting terminal parameters of a data storage terminal of each department;
determining a carrying operating system of the data storage terminal of each department according to the terminal parameters;
acquiring system core parameters corresponding to a carrying operating system of a data storage terminal of each department and basic authority parameters related to data storage modification;
and mapping the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the basic authority parameters related to the data storage modification by using a preset mapping mode to obtain the operating system mapping data of the department.
3. The method for managing the same data among different departments according to claim 1, wherein the steps of extracting and storing the original data parameters of the target data, and transmitting the target data to the operating system of each department after the storing is completed, comprise:
extracting core metadata of the target data;
acquiring original data parameters of target data based on the core metadata, encrypting the original data parameters by using a preset encryption mode, and storing after encryption is finished;
acquiring node information corresponding to network nodes of the operating systems of each department, and realizing network connection with each operating system based on the node information;
and compressing and transmitting the target data to an operating system of each department.
4. The method for managing the same data among different departments according to claim 1, wherein the step of hierarchically managing the target data according to the data management rule of each department comprises:
determining a strong display data identifier of the target data in the first-level department according to a strong data management and control rule of the first-level department;
generating a weak display data identifier of each lower department according to the modification parameters of each lower department to the target data and the weak data management and control rules corresponding to the lower department;
the strong display data identification of the first level department and the weak display data identification of each lower level department are combined into the data management and control rule of the next level department;
and controlling the target data in the operating system of each department according to the strong display data identification and the weak display data identification of the target data in each department.
5. The method for managing the same data among different departments according to claim 2, wherein the mapping the system core parameters corresponding to the onboard operating system of the data storage terminal of each department and the basic parameters related to the data storage modification by using a preset mapping manner to obtain the operating system mapping data of the department includes:
obtaining a mapping rule corresponding to the preset mapping mode;
generating a mapping program according to the mapping parameters corresponding to the mapping rules;
extracting a system core parameter corresponding to a carrying operating system of a data storage terminal of each department and a source code item in a basic parameter related to data storage modification based on the mapping rule;
and carrying out data mapping on the system core parameters corresponding to the carrying operating system of the data storage terminal of each department and the source code items in the basic parameters related to the data storage modification by using the mapping program so as to obtain the operating system mapping data of the department.
6. The method of managing the same data between different departments according to claim 1, further comprising:
acquiring a preset dynamic data classification strategy corresponding to an operating system of each department;
determining system configuration information of each level according to a preset dynamic data classification strategy corresponding to an operating system of each department;
generating data operation rights of each level based on the system configuration information of the level;
and setting corresponding data management and control authorities for the system work account corresponding to each level according to the data operation authorities of each level of the operating system of each department and the data management and control rules of the department.
7. The method for managing the same data among different departments according to claim 4, wherein the determining the strong display data identifier of the target data in the first-level department according to the strong data management rule in the first-level department comprises:
vectorizing the target data to obtain corresponding data vectors;
classifying the target data by using a preset classification model based on the data vector to obtain classification categories;
judging the data service level and the data attribute of the target data according to the classification category;
extracting a plurality of pieces of sequence data of the target data according to the data attribute;
quality monitoring is carried out on the plurality of pieces of sequence data, and low-quality sequence data and high-quality sequence data are determined according to monitoring results;
determining a control level of target data based on the data service level, and determining a feature extraction amount corresponding to the target data according to the control level;
acquiring data characteristic distribution in the high-quality sequence data, and screening out a target number of core data characteristics according to the data characteristic distribution;
determining an expansion tag of each core data characteristic, screening out a strong data management and control rule according to the expansion tag, and formulating an optimal core data characteristic of a strong display data identifier;
determining a first data identification representation of the best core data characteristic according to the strong data management and control rule;
acquiring main reference program information of an operating system corresponding to a first-level department, and determining data service information of the operating system corresponding to the first-level department according to the main reference program information;
testing the first data identifier according to the data service information of the operating system corresponding to the first-level department to represent the implementation distribution condition of different data operation services of the operating system corresponding to the first-level department;
and determining whether a first data identification representation of the best core data characteristic is available according to the implementation distribution condition, if yes, uploading the first data identification representation to a corresponding operating system of a first-level department and receiving a strong display data identification based on the first data identification representation formulated by the first-level department, otherwise, reformulating a second data identification representation of the best core data characteristic until the second data identification representation is determined to be available.
8. A system for managing the same data between different departments, the system comprising:
the acquisition module is used for acquiring the operating system mapping data of each department;
the configuration module is used for configuring data management and control rules for each department based on the operating system mapping data of the department;
the transmission module is used for extracting and storing original data parameters of target data, and transmitting the target data to an operating system of each department after the storage is finished;
the management module is used for carrying out hierarchical management and control on the target data according to the data management and control rule of each department;
the configuration data management rules for each department based on the operating system mapping data of the department comprise:
determining an attribute interval of a management and control data object of the operating system according to the operating system mapping data of each department;
acquiring corresponding control dimension parameter values according to each attribute value of the attribute interval of the management and control data object of the operating system of each department;
determining the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments based on the control dimension parameter values;
configuring a strong data management and control rule and a weak data management and control rule for each department according to the data service operation parameters of the operation system of each department and the upper-lower relationship between the departments;
the determining the attribute interval of the management and control data object of the operating system according to the operating system mapping data of each department comprises the following steps:
determining data entity decision parameters and data entity operation parameters of the operation system according to the operation system mapping data of each department;
respectively constructing a data decision model and a data operation model corresponding to the operation system of each department based on the data entity decision parameters and the data entity operation parameters;
acquiring a first characteristic and a second characteristic of a management and control data object of the operating system of each department through respective output results of a data decision model and a data operation model corresponding to the operating system of the department;
and acquiring the attribute interval of the management and control data object of the operating system of each department according to the first characteristic and the second characteristic of the management and control data object of the operating system of the department.
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