CN111914274A - Full-process block chain system based on multiple information sources - Google Patents
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Abstract
The invention relates to the technical field of block chains, in particular to a full-process block chain system based on multiple information sources. The application process comprises the following steps: collecting information; updating information; the formats are unified; data cleaning; classifying the data; storing the information; encrypting information; and (4) logging in by the user. The design of the invention can integrate and uniformly manage the information flow from various sources, improve the processing efficiency, perfect the safety protection measures, reduce the possibility of information leakage and realize the effective sharing of information resources.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a full-process block chain system based on multiple information sources.
Background
The information system is mainly used for inputting, storing, processing, outputting and controlling information, and is a man-machine integrated system for processing information flow. Most of the existing information systems can only process information flow of a single information source, and information of multiple source ways often has the conditions of non-uniform format, repeated information and redundant information, so that the working efficiency of the information system is reduced; meanwhile, the existing information system has poor safety protection measures and has great potential safety hazards of information leakage.
Disclosure of Invention
The present invention is directed to a full-flow blockchain system based on multiple information sources, so as to solve the problems mentioned in the background art.
To achieve the above objective, an objective of the present invention is to provide a method for applying a full-process blockchain system based on multiple information sources, where an application process includes the following steps:
s1, information acquisition, wherein information is acquired through an information acquisition device, and the system imports data in a full import mode and establishes a basic database;
s2, information updating, namely, the system realizes real-time data common fault and completes information updating of the database by acquiring incremental change;
s3, unifying the format, and converting the data of various source ways into the data of the standard format;
s4, data cleaning, information identification and filtering, and error and repeated data elimination;
s5, classifying the data, and comparing, matching and classifying the data according to set conditions and different attributes;
s6, information storage, namely performing lossless compression and packaging processing on the data and storing the data respectively;
s7, encrypting information, and encrypting data respectively;
and S8, logging in by the user, identifying the identity of the user, and distributing the authority according to the access key logged in by the user.
The second objective of the present invention is to provide a multi-information-source-based full-process block chain system, which includes a basic management unit, an information file unit, a data integration unit, and a block application unit; the basic management unit, the information archive unit, the data integration unit and the block application unit are sequentially connected through digital signal communication; the basic management unit is used for acquiring information through physical equipment and transmitting the information into the system through a network communication technology; the information archive unit is used for inputting and updating information to form a database; the data integration unit is used for carrying out standardization, cleaning and classification operations on data; the block application unit is used for establishing a channel for acquiring information for a user through a block chain technology. The data comprises historical data and real-time newly added data.
As a further improvement of the technical solution, the basic management unit includes a physical application module, an application interface module, and a network communication module; the signal output end of the physical application module is connected with the signal input end of the application interface module, and the signal output end of the application interface module is connected with the signal input end of the network communication module; the physical application module is used for acquiring real-time information on site through the information acquisition device; the application interface module is used for establishing a transmission channel between the system and the information acquisition device; the network communication module is used for realizing data transmission through a multi-channel network communication technology.
The information acquisition device comprises a radio frequency identification device, an intelligent reader, a laser scanner and the like, and the information acquisition mode comprises two-dimensional code scanning, bar code scanning, character input and the like.
As a further improvement of the technical scheme, the information archive unit comprises an information acquisition module, an information updating module and an information storage module; the signal output end of the information acquisition module is connected with the signal input end of the information updating module, and the signal output end of the information updating module is connected with the signal input end of the information storage module; the information acquisition module is used for importing the acquired information data into the system; the information updating module is used for updating the newly added data in real time into the system; the information storage module is used for storing the information data into the corresponding databases respectively.
As a further improvement of the technical scheme, the data integration unit comprises a format unifying module, a data cleaning module and a data classifying module; the signal output end of the format unifying module is connected with the signal input end of the data cleaning module, and the signal output end of the data cleaning module is connected with the signal input end of the data classifying module; the format unifying module is used for carrying out standardized conversion on the information data; the data cleaning module is used for identifying and comparing data and eliminating error data and repeated data in the data; the data classification module is used for classifying and classifying the data according to set conditions.
As a further improvement of the technical solution, the format unifying module comprises:
with RsetRepresenting a set of semantic conversion rules, Rset＝{r1,r2,…,rnIn which r isiDenotes a rule, i is 1,2, …, n is the total number of rules, ri＝(T,D,OT,O,R)；
T is Type, and the problem Type is identified through semantic conversion; d is Data, and a semantic conversion layer is used for processing a Data object; OT is Operation Type, and the Type of a trigger of a conversion Operation executed by the semantic conversion layer; o is Operation, and the semantic conversion is specifically operated; r is Reference, operating in the rule.
As a further improvement of the technical solution, the data cleaning module adopts an entropy algorithm of information quantity, and a calculation formula thereof is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Represents the probability of the i-th state occurring, and h (x) is the amount of information needed to remove uncertainty, in bits (bits).
As a further improvement of the technical solution, the data classification module adopts a naive bayes algorithm, and a calculation formula thereof is as follows:
wherein X is a given set, P (C)iI X) is X belongs to class CiA posterior probability of (D), P (X | C)i) Probabilities categorized by conditionally independent attributes.
As a further improvement of the technical solution, the block application unit includes an information encryption module, a resource sharing module, an authority protection module and an identity identification module; the signal output end of the information encryption module is connected with the signal input end of the resource sharing module, and the signal output end of the authority protection module is connected with the signal input end of the identity recognition module; the information encryption module is used for encrypting and protecting data through an encryption algorithm; the resource sharing module is used for establishing sharing channels among different databases and between the databases and users; the authority protection module is used for limiting the operation authority of the user through different access conditions; the identity recognition module is used for recognizing and authenticating the identity of the user and distributing the authority according to the identity.
The resource sharing approach comprises a public chain, a private chain and a alliance chain, all users can enter the public chain, private users can enter the private chain through private keys, and specific users can enter the alliance chain through alliance admission.
The identity recognition mode comprises password verification, mobile phone verification code verification, face recognition, fingerprint recognition and the like.
The invention also provides a multi-information-source-based full-flow blockchain device, which comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the processor is used for implementing any one of the above-mentioned multi-information-source-based full-flow blockchain systems when executing the computer program.
It is a further object of the present invention to provide a computer readable storage medium storing a computer program, which when executed by a processor implements any of the above-mentioned full blockchain systems based on multiple information sources.
Compared with the prior art, the invention has the beneficial effects that: in the full-flow block chain system based on multiple information sources, by applying the block chain technology to the information system, information streams from multiple sources can be integrated and uniformly managed, the processing efficiency of the information streams is improved, the safety protection measures of the information system are improved, the possibility of information leakage is reduced, and effective sharing of information resources is realized.
Drawings
FIG. 1 is an overall block diagram of embodiment 1;
FIG. 2 is a block diagram of a basic management unit module of embodiment 1;
FIG. 3 is a block diagram of an information archive unit module according to embodiment 1;
FIG. 4 is a block diagram of a data integration unit module according to embodiment 1;
FIG. 5 is a block diagram of a block application unit module according to embodiment 1;
fig. 6 is a schematic structural diagram of the blockchain apparatus according to embodiment 1.
The various reference numbers in the figures mean:
100. a basic management unit; 101. a physical application module; 102. an application interface module; 103. a network communication module;
200. an information file unit; 201. an information acquisition module; 202. an information updating module; 203. an information storage module;
300. a data integration unit; 301. a format unifying module; 302. a data cleaning module; 303. a data classification module;
400. a block application unit; 401. an information encryption module; 402. a resource sharing module; 403. an authority protection module; 404. and an identity recognition module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1-6, the present embodiment provides a full-flow blockchain system based on multiple information sources, and the application process thereof includes the following steps:
s1, information acquisition, wherein information is acquired through an information acquisition device, and the system imports data in a full import mode and establishes a basic database;
s2, information updating, namely, the system realizes real-time data common fault and completes information updating of the database by acquiring incremental change;
s3, unifying the format, and converting the data of various source ways into the data of the standard format;
s4, data cleaning, information identification and filtering, and error and repeated data elimination;
s5, classifying the data, and comparing, matching and classifying the data according to set conditions and different attributes;
s6, information storage, namely performing lossless compression and packaging processing on the data and storing the data respectively;
s7, encrypting information, and encrypting data respectively;
and S8, logging in by the user, identifying the identity of the user, and distributing the authority according to the access key logged in by the user.
In this embodiment, the block chain system includes a base management unit 100, an information file unit 200, a data integration unit 300, and a block application unit 400; the basic management unit 100, the information archive unit 200, the data integration unit 300 and the block application unit 400 are sequentially connected through digital signal communication; the basic management unit 100 is used for collecting information through physical equipment and transmitting the information into the system through a network communication technology; the information archive unit 200 is used for entering and updating information to form a database; the data integration unit 300 is used for performing standardization, cleaning and classification operations on data; the block application unit 400 is used to establish a channel for acquiring information to a user through a block chain technique. The data comprises historical data and real-time newly added data.
In this embodiment, the basic management unit 100 includes a physical application module 101, an application interface module 102, and a network communication module 103; the signal output end of the physical application module 101 is connected with the signal input end of the application interface module 102, and the signal output end of the application interface module 102 is connected with the signal input end of the network communication module 103; the physical application module 101 is used for acquiring real-time information on site through an information acquisition device; the application interface module 102 is used for establishing a transmission channel between the system and the information acquisition device; the network communication module 103 is used for realizing data transmission through a multi-channel network communication technology.
The information acquisition device comprises a radio frequency identification device, an intelligent reader, a laser scanner and the like, and the information acquisition mode comprises two-dimensional code scanning, bar code scanning, character input and the like.
In this embodiment, the information archive unit 200 includes an information acquisition module 201, an information update module 202, and an information storage module 203; the signal output end of the information acquisition module 201 is connected with the signal input end of the information updating module 202, and the signal output end of the information updating module 202 is connected with the signal input end of the information storage module 203; the information acquisition module 201 is used for importing the acquired information data into the system; the information updating module 202 is used for updating the newly added data to the system in real time; the information storage module 203 is used for storing the information data into the corresponding databases respectively.
In this embodiment, the data integration unit 300 includes a format unification module 301, a data cleaning module 302, and a data classification module 303; the signal output end of the format unifying module 301 is connected with the signal input end of the data cleaning module 302, and the signal output end of the data cleaning module 302 is connected with the signal input end of the data classifying module 303; the format unifying module 301 is used for carrying out standardized conversion on the information data; the data cleaning module 302 is configured to identify and compare data and reject error data and duplicate data therein; the data classifying module 303 is configured to classify and classify the data according to a set condition.
Further, the format unifying module 301 includes:
with RsetRepresenting a set of semantic conversion rules, Rset＝{r1,r2,…,rnIn which r isiDenotes a rule, i is 1,2, …, n is the total number of rules, ri＝(T,D,OT,O,R)；
T is Type, and the problem Type is identified through semantic conversion; d is Data, and a semantic conversion layer is used for processing a Data object; OT is Operation Type, and the Type of a trigger of a conversion Operation executed by the semantic conversion layer; o is Operation, and the semantic conversion is specifically operated; r is Reference, operating in the rule.
Further, the data cleansing module 302 adopts an entropy algorithm of information quantity, and the calculation formula is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Represents the probability of the i-th state occurring, and h (x) is the amount of information needed to remove uncertainty, in bits (bits).
Further, the data classifying module 303 adopts a naive bayes algorithm, and the calculation formula is as follows:
wherein X is a given set, P (C)iI X) is X belongs to class CiA posterior probability of (D), P (X | C)i) Probabilities categorized by conditionally independent attributes.
In this embodiment, the block application unit 400 includes an information encryption module 401, a resource sharing module 402, an authority protection module 403, and an identity module 404; the signal output end of the information encryption module 401 is connected with the signal input end of the resource sharing module 402, and the signal output end of the authority protection module 403 is connected with the signal input end of the identity recognition module 404; the information encryption module 401 is configured to perform encryption protection on data through an encryption algorithm; the resource sharing module 402 is configured to establish a sharing channel between different databases and between a database and a user; the authority protection module 403 is configured to limit the operation authority of the user according to different admission conditions; the identity recognition module 404 is used for performing recognition and authentication on the identity of the user and assigning authority according to the identity.
The resource sharing approach comprises a public chain, a private chain and a alliance chain, all users can enter the public chain, private users can enter the private chain through private keys, and specific users can enter the alliance chain through alliance admission.
The identity recognition mode comprises password verification, mobile phone verification code verification, face recognition, fingerprint recognition and the like.
Referring to fig. 6, a schematic diagram of a full-flow blockchain device based on multiple information sources according to the present embodiment is shown, where the device includes a processor, a memory, and a bus.
The processor comprises one or more processing cores, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the processor realizes the multi-information-source-based full-flow blockchain system when executing the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the present invention further provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the system implements the above-mentioned full blockchain system based on multiple information sources.
Optionally, the present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the above aspects of the multi-information source based full blockchain system.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A full-flow blockchain system based on multiple information sources, comprising: the application process comprises the following steps:
s1, information acquisition, wherein information is acquired through an information acquisition device, and the system imports data in a full import mode and establishes a basic database;
s2, information updating, namely, the system realizes real-time data common fault and completes information updating of the database by acquiring incremental change;
s3, unifying the format, and converting the data of various source ways into the data of the standard format;
s4, data cleaning, information identification and filtering, and error and repeated data elimination;
s5, classifying the data, and comparing, matching and classifying the data according to set conditions and different attributes;
s6, information storage, namely performing lossless compression and packaging processing on the data and storing the data respectively;
s7, encrypting information, and encrypting data respectively;
and S8, logging in by the user, identifying the identity of the user, and distributing the authority according to the access key logged in by the user.
2. The multi-feed-based full-flow blockchain system of claim 1, wherein: comprises a basic management unit (100), an information archive unit (200), a data integration unit (300) and a block application unit (400); the basic management unit (100), the information archive unit (200), the data integration unit (300) and the block application unit (400) are sequentially connected through digital signal communication; the basic management unit (100) is used for collecting information through physical equipment and transmitting the information into the system through a network communication technology; the information archive unit (200) is used for inputting and updating information to form a database; the data integration unit (300) is used for carrying out standardization, cleaning and classification operations on data; the block application unit (400) is used for establishing a channel for acquiring information for a user through a block chain technology. The data comprises historical data and real-time newly added data.
3. The multi-feed-based full-flow blockchain system of claim 2, wherein: the basic management unit (100) comprises a physical application module (101), an application interface module (102) and a network communication module (103); the signal output end of the physical application module (101) is connected with the signal input end of the application interface module (102), and the signal output end of the application interface module (102) is connected with the signal input end of the network communication module (103); the physical application module (101) is used for acquiring real-time information on site through an information acquisition device; the application interface module (102) is used for establishing a transmission channel between the system and the information acquisition device; the network communication module (103) is used for realizing data transmission through a multi-channel network communication technology.
4. The multi-feed-based full-flow blockchain system of claim 2, wherein: the information archive unit (200) comprises an information acquisition module (201), an information updating module (202) and an information storage module (203); the signal output end of the information acquisition module (201) is connected with the signal input end of the information updating module (202), and the signal output end of the information updating module (202) is connected with the signal input end of the information storage module (203); the information acquisition module (201) is used for importing the acquired information data into the system; the information updating module (202) is used for updating the newly added data in real time into the system; the information storage module (203) is used for respectively storing the information data into the corresponding databases.
5. The multi-feed-based full-flow blockchain system of claim 2, wherein: the data integration unit (300) comprises a format unifying module (301), a data cleaning module (302) and a data classifying module (303); the signal output end of the format unifying module (301) is connected with the signal input end of the data cleaning module (302), and the signal output end of the data cleaning module (302) is connected with the signal input end of the data classifying module (303); the format unifying module (301) is used for carrying out standardized conversion on the information data; the data cleaning module (302) is used for identifying and comparing data and eliminating error data and repeated data in the data; the data classifying module (303) is used for classifying and classifying the data according to set conditions.
6. The multi-feed-based full-flow blockchain system of claim 5, wherein: the format unifying module (301) comprises the following steps:
with RsetRepresenting a set of semantic conversion rules, Rset＝{r1,r2,…,rnIn which r isiDenotes a rule, i is 1,2, …, n is the total number of rules, ri＝(T,D,OT,O,R)；
T is Type, and the problem Type is identified through semantic conversion; d is Data, and a semantic conversion layer is used for processing a Data object; OT is Operation Type, and the Type of a trigger of a conversion Operation executed by the semantic conversion layer; o is Operation, and the semantic conversion is specifically operated; r is Reference, operating in the rule.
7. The multi-feed-based full-flow blockchain system of claim 5, wherein: the data cleaning module (302) adopts an entropy algorithm of information quantity, and the calculation formula is as follows:
H(x)＝-∑P(Xi)log2P(Xi)；
wherein, i is 1,2,3iDenotes the ith state (n states in total), P (X)i) Represents the probability of the i-th state occurring, and h (x) is the amount of information needed to remove uncertainty, in bits (bits).
8. The multi-feed-based full-flow blockchain system of claim 5, wherein: the data classification module (303) adopts a naive Bayesian algorithm, and the calculation formula is as follows:
wherein X is a given set, P (C)iI X) is X belongs to class CiA posterior probability of (D), P (X | C)i) Probabilities categorized by conditionally independent attributes.
9. The multi-feed-based full-flow blockchain system of claim 2, wherein: the block application unit (400) comprises an information encryption module (401), a resource sharing module (402), a right protection module (403) and an identity identification module (404); the signal output end of the information encryption module (401) is connected with the signal input end of the resource sharing module (402), and the signal output end of the authority protection module (403) is connected with the signal input end of the identity recognition module (404); the information encryption module (401) is used for carrying out encryption protection on data through an encryption algorithm; the resource sharing module (402) is used for establishing a sharing channel between different databases and between a database and a user; the authority protection module (403) is used for limiting the operation authority of the user through different admission conditions; the identity recognition module (404) is used for performing recognition and authentication on the identity of the user and distributing the authority according to the identity.
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| PCT/CN2020/131116 WO2022021696A1 (en) | 2020-07-30 | 2020-11-24 | Multi-information source-based whole-process blockchain system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112699112A (en) * | 2020-12-31 | 2021-04-23 | 东莞市盟大商业保理有限公司 | Data mining process sharing method based on block chain technology |
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| CN113221013A (en) * | 2021-06-04 | 2021-08-06 | 金保信社保卡科技有限公司 | Occupational development planning application method and system |
| CN113284604A (en) * | 2021-04-16 | 2021-08-20 | 青岛大学附属医院 | AI auxiliary diagnosis and treatment method according to high-definition surgical field video |
| CN113326745A (en) * | 2021-05-13 | 2021-08-31 | 青岛大学附属医院 | Application system for judging and identifying stoma situation through image identification technology |
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| CN113172641A (en) * | 2021-04-16 | 2021-07-27 | 青岛大学附属医院 | Movable intelligent robot based on multi-standard 5G module |
| CN113284604A (en) * | 2021-04-16 | 2021-08-20 | 青岛大学附属医院 | AI auxiliary diagnosis and treatment method according to high-definition surgical field video |
| CN113326745A (en) * | 2021-05-13 | 2021-08-31 | 青岛大学附属医院 | Application system for judging and identifying stoma situation through image identification technology |
| CN113221013A (en) * | 2021-06-04 | 2021-08-06 | 金保信社保卡科技有限公司 | Occupational development planning application method and system |
| CN113433868A (en) * | 2021-07-14 | 2021-09-24 | 青岛沃华软控有限公司 | Integrated remote control automatic loading system for producing porous granular ammonium nitrate |
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