CN107229743B - Big data classification utilization method and system for business management - Google Patents
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Abstract
A big data classification utilization method for business management comprises the following steps: s1, configuring data acquisition and processing authority levels of the mobile terminal corresponding to the big data for business management; s2, encrypting the unique identification code of the mobile terminal corresponding to the big data for business management and then sending the encrypted identification code to the server; s3, the server generates an identification table for identifying the data acquisition and processing authority level of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal according to the data acquisition and processing authority level in the step S1 and the unique identification code of the mobile terminal in the step S2; s4, receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through an identification table, and jumping to the step S5 when the identification is passed; it jumps to step S6.
Description
Technical Field
The invention relates to the technical field of business management big data, in particular to a method and a system for classifying and utilizing big data for business management.
Background
Such a definition is given for the "Big data" (Big data) research institute Gartner. The big data is information assets which need a new processing mode and have stronger decision-making power, insight discovery power and flow optimization capability to adapt to mass, high growth rate and diversification.
The definition given by the global research on makentin is: a data set with large scale which greatly exceeds the capability range of the traditional database software tools in the aspects of acquisition, storage, management and analysis has the four characteristics of large data scale, rapid data circulation, various data types and low value density.
The strategic significance of big data technology is not to grasp huge data information, but to specialize the data containing significance. In other words, if big data is compared to an industry, the key to realizing profitability in the industry is to improve the "processing ability" of the data and realize the "value-added" of the data through the "processing".
Technically, the relation between big data and cloud computing is as inseparable as the front and back of a coin. The large data cannot be processed by a single computer necessarily, and a distributed architecture must be adopted. The method is characterized in that distributed data mining is carried out on mass data. But it must rely on distributed processing of cloud computing, distributed databases and cloud storage, virtualization technologies.
With the advent of the cloud era, Big data (Big data) has attracted more and more attention. The team of analysts believes that large data (Big data) is often used to describe the large amount of unstructured and semi-structured data created by a company that can take excessive time and money to download to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time large dataset analysis requires a MapReduce-like framework to distribute work to tens, hundreds, or even thousands of computers.
Large data requires special techniques to efficiently process large amounts of data that are tolerant of elapsed time. Techniques for big data, including Massively Parallel Processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems
The prior art lacks a method technology for classifying and utilizing big data for business management.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for classifying and utilizing big data for business management.
A big data classification utilization method for business management comprises the following steps:
s1, configuring data acquisition and processing authority levels of the mobile terminal corresponding to the big data for business management;
s2, encrypting the unique identification code of the mobile terminal corresponding to the big data for business management and then sending the encrypted identification code to the server;
s3, the server generates an identification table for identifying the data acquisition and processing authority level of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal according to the data acquisition and processing authority level in the step S1 and the unique identification code of the mobile terminal in the step S2;
s4, receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through an identification table, and jumping to the step S5 when the identification is passed; jumping to step S6;
s5, analyzing the big data for business management according to the preset big data analysis rule, and jumping to the step S7;
s6, dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
s7, acquiring corresponding data content, data type, data privacy level and data value level obtained through analysis;
s8, standardizing the analyzed data content according to a preset standardized processing rule, and establishing a mapping relation between standardized standard data and data types, data privacy levels and data value levels;
and S9, generating a data personalized recommended data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommended data packet.
In the big data classification and utilization method for business management according to the present invention,
the step S1 includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
In the big data classification and utilization method for business management according to the present invention,
the step S2 includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
The invention also provides a big data classification and utilization system for business management, which comprises the following units:
the authority configuration unit is used for configuring data acquisition and authority level processing of the mobile terminal corresponding to the business management big data;
the identification code sending unit is used for encrypting the unique identification code of the mobile terminal corresponding to the business management big data and then sending the encrypted identification code to the server;
the identification table configuration unit is used for generating an identification table for identifying the data acquisition and processing authority levels of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal through the server according to the data acquisition and processing authority levels in the authority configuration unit and the unique identification code of the mobile terminal in the identification code sending unit;
the data identification unit is used for receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through the identification table, and jumping to the data analysis unit when the identification is passed; skipping to a data recording unit;
the data analysis unit is used for analyzing the big data for business management according to a preset big data analysis rule and storing an analysis result; skipping to a content analysis unit;
a data recording unit for dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
the content analysis unit is used for obtaining corresponding data content, data type, data privacy level and data value level obtained through analysis;
the mapping relation configuration unit is used for standardizing the analyzed data content according to a preset standardized processing rule and establishing the mapping relation between the standardized standard data and the data type, the data privacy level and the data value level;
and the value configuration unit is used for generating a data personalized recommendation data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommendation data packet.
In the big data classification and utilization system for business management according to the present invention,
the right configuration unit includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
In the big data classification and utilization system for business management according to the present invention,
the identification code transmitting unit includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
Compared with the prior art, the method and the system for classifying and utilizing the business management big data can realize the classification and utilization of the business management big data which is sent by the mobile terminal and corresponds to the business management big data by identifying the data acquisition and processing authority level through the identification table.
Drawings
Fig. 1 is a block diagram showing a configuration of a big data classification and utilization system for business management according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a big data classification utilization method for business management, which comprises the following steps:
s1, configuring data acquisition and processing authority levels of the mobile terminal corresponding to the big data for business management;
s2, encrypting the unique identification code of the mobile terminal corresponding to the big data for business management and then sending the encrypted identification code to the server;
s3, the server generates an identification table for identifying the data acquisition and processing authority level of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal according to the data acquisition and processing authority level in the step S1 and the unique identification code of the mobile terminal in the step S2;
s4, receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through an identification table, and jumping to the step S5 when the identification is passed; jumping to step S6;
s5, analyzing the big data for business management according to the preset big data analysis rule, and jumping to the step S7;
s6, dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
s7, acquiring corresponding data content, data type, data privacy level and data value level obtained through analysis;
s8, standardizing the analyzed data content according to a preset standardized processing rule, and establishing a mapping relation between standardized standard data and data types, data privacy levels and data value levels;
and S9, generating a data personalized recommended data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommended data packet.
In the big data classification and utilization method for business management according to the present invention,
the step S1 includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
In the big data classification and utilization method for business management according to the present invention,
the step S2 includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
As shown in fig. 1, the present invention further provides a big data classification and utilization system for business management, which includes the following units:
the authority configuration unit is used for configuring data acquisition and authority level processing of the mobile terminal corresponding to the business management big data;
the identification code sending unit is used for encrypting the unique identification code of the mobile terminal corresponding to the business management big data and then sending the encrypted identification code to the server;
the identification table configuration unit is used for generating an identification table for identifying the data acquisition and processing authority levels of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal through the server according to the data acquisition and processing authority levels in the authority configuration unit and the unique identification code of the mobile terminal in the identification code sending unit;
the data identification unit is used for receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through the identification table, and jumping to the data analysis unit when the identification is passed; skipping to a data recording unit;
the data analysis unit is used for analyzing the big data for business management according to a preset big data analysis rule and storing an analysis result; skipping to a content analysis unit;
a data recording unit for dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
the content analysis unit is used for obtaining corresponding data content, data type, data privacy level and data value level obtained through analysis;
the mapping relation configuration unit is used for standardizing the analyzed data content according to a preset standardized processing rule and establishing the mapping relation between the standardized standard data and the data type, the data privacy level and the data value level;
and the value configuration unit is used for generating a data personalized recommendation data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommendation data packet.
In the big data classification and utilization system for business management according to the present invention,
the right configuration unit includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
In the big data classification and utilization system for business management according to the present invention,
the identification code transmitting unit includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
Compared with the prior art, the method and the system for classifying and utilizing the business management big data can realize the identification of the data acquisition and processing authority level through the identification table for the business management big data which is sent by the mobile terminal and corresponds to the business management big data.
The methods or algorithms described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in random access memory, read only memory, electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is understood that various other changes and modifications may be made by those skilled in the art based on the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the claims of the present invention.
Claims (6)
1. A big data classification utilization method for business management is characterized by comprising the following steps:
s1, configuring data acquisition and processing authority levels of the mobile terminal corresponding to the big data for business management;
s2, encrypting the unique identification code of the mobile terminal corresponding to the big data for business management and then sending the encrypted identification code to the server;
s3, the server generates an identification table for identifying the data acquisition and processing authority level of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal according to the data acquisition and processing authority level in the step S1 and the unique identification code of the mobile terminal in the step S2;
s4, receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through an identification table, and jumping to the step S5 when the identification is passed; jumping to step S6;
s5, analyzing the big data for business management according to the preset big data analysis rule, and jumping to the step S7;
s6, dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
s7, acquiring corresponding data content, data type, data privacy level and data value level obtained through analysis;
s8, standardizing the analyzed data content according to a preset standardized processing rule, and establishing a mapping relation between standardized standard data and data types, data privacy levels and data value levels;
and S9, generating a data personalized recommended data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommended data packet.
2. The big data classification and utilization method for business management as claimed in claim 1,
the step S1 includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
3. The big data classification and utilization method for business management as claimed in claim 2,
the step S2 includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
4. A big data classification and utilization system for business management is characterized by comprising the following units:
the authority configuration unit is used for configuring data acquisition and authority level processing of the mobile terminal corresponding to the business management big data;
the identification code sending unit is used for encrypting the unique identification code of the mobile terminal corresponding to the business management big data and then sending the encrypted identification code to the server;
the identification table configuration unit is used for generating an identification table for identifying the data acquisition and processing authority levels of the mobile terminal corresponding to the business management big data according to the unique identification code of the mobile terminal through the server according to the data acquisition and processing authority levels in the authority configuration unit and the unique identification code of the mobile terminal in the identification code sending unit;
the data identification unit is used for receiving the business management big data sent by the mobile terminal corresponding to the business management big data, identifying the data acquisition and processing authority level through the identification table, and jumping to the data analysis unit when the identification is passed; skipping to a data recording unit;
the data analysis unit is used for analyzing the big data for business management according to a preset big data analysis rule and storing an analysis result; skipping to a content analysis unit;
a data recording unit for dividing the received data into illegal data, recording the unique identification code and sending time information corresponding to the mobile terminal corresponding to the business management big data for sending, and ending;
the content analysis unit is used for obtaining corresponding data content, data type, data privacy level and data value level obtained through analysis;
the mapping relation configuration unit is used for standardizing the analyzed data content according to a preset standardized processing rule and establishing the mapping relation between the standardized standard data and the data type, the data privacy level and the data value level;
and the value configuration unit is used for generating a data personalized recommendation data packet according to the mapping relation between the standard data and the data type, the data privacy level and the data value level, and configuring the corresponding price of the data personalized recommendation data packet.
5. The business management big data classifying and utilizing system according to claim 4,
the right configuration unit includes:
acquiring a corresponding type of the business management big data corresponding to the mobile terminal; the corresponding type of the business management big data corresponding to the mobile terminal comprises a collected data type, a data privacy level and a data value level;
configuring a data processing authority level of the mobile terminal corresponding to the business management big data; the processing authority level comprises three levels of primary processing, general processing and special processing; the processing permission level has a corresponding relation with the data type, the data privacy level and the data value level.
6. The business management big data classifying and utilizing system according to claim 5,
the identification code transmitting unit includes:
configuring a key pair for encryption and decryption between the mobile terminal and the server corresponding to the business management big data; carrying out SHA256 hash processing on a public key of a mobile terminal corresponding to the business management big data to obtain a primary processing value, carrying out hash processing on the primary processing value by an information digest algorithm RIPEMD160 to obtain hash result values of a plurality of bytes, and carrying out BASE58CHECK coding on the hash result values to obtain a readable character string address; encrypting the unique identification code of the mobile terminal corresponding to the business management big data by using the readable character string address and then sending the encrypted unique identification code to the server; and updating a private key corresponding to the key pair for encryption and decryption to the server offline.
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| CN105357027A (en) * | 2015-09-24 | 2016-02-24 | 四川长虹电器股份有限公司 | Lightweight data service bus system based on large data |
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| CN101004679A (en) * | 2006-11-28 | 2007-07-25 | 北京龙阁创意数码科技有限公司 | Development system and development method for multiple unit animated cartoon products based on mass data |
| CN105357027A (en) * | 2015-09-24 | 2016-02-24 | 四川长虹电器股份有限公司 | Lightweight data service bus system based on large data |
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