CN113434602A - Self-service system of credit bank based on block chain - Google Patents
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Abstract
The utility model provides a credit bank self service system based on block chain, relates to credit bank technical field, to the credit bank self service system among the prior art can not be high-efficient, accurate with the problem that user's information was transferred and is updated, include: the system comprises an information query module, a planning module, a scheduling module, an updating module, a block chain module and an evaluation and repair module. The method and the device can efficiently and accurately call and update the information of the user, can display the basic information, can automatically update data, and can automatically exchange scores or manually exchange scores when the user meets conditions in class.
Description
Technical Field
The invention relates to the technical field of credit banks, in particular to a credit bank self-service system based on a block chain.
Background
The Score Credit Bank is a management mode which simulates or refers to the functional characteristics of the Bank and enables students to freely select learning contents, learning time and learning places. Similar to the saving mode of the retail bank, learners can obtain credits through sporadic learning at ordinary times, the credits can be stored in institutions authorized by relevant national departments like currency, and corresponding scholars and non-scholars certificates can be exchanged after certain standards are met.
The core value of the credit bank is to promote the lifelong learning of the whole people. The learning method supports mutual recognition and conversion of scores among various education and training institutions and between non-academic education and academic education at all levels by identifying the previous learning results of learners, promotes communication and connection of different types of learning results, encourages and encourages social members to combine self development to carry out learning planning, learns in various forms according to self conditions, can accumulate and convert the learning results of self under the condition of following a certain rule according to self wishes, and obtains the value proof of the socially recognized learning results most efficiently. Such as professional skill level certificate, professional qualification certificate, continuing education certificate, academic diploma or academic degree certificate, etc., therefore, "credit bank" can provide important support for building lifelong learning "overpass".
The establishment of the 'credit bank' system has become an important trend for the innovation and development of education in many countries of the world. At present, a plurality of countries and regions in the world begin to build a credit conversion system or a credit bank, promote mutual recognition, conversion and accumulation of credits and lay a foundation for lifelong learning social construction.
The existing credit bank self-service system cannot efficiently and accurately call and update the information of the user.
Disclosure of Invention
The purpose of the invention is: aiming at the problem that the credit bank self-service system in the prior art can not efficiently and accurately call and update the information of the user, the credit bank self-service system based on the block chain is provided.
The technical scheme adopted by the invention to solve the technical problems is as follows:
a credit bank self-service system based on a block chain comprises: the system comprises an information query module, a planning module, a scheduling module, an updating module and a block chain module;
the information query module is used for determining account information corresponding to a user according to information input by the user, and the account information comprises user basic information and credit;
the planning module is used for receiving class time information input by a user and course types selected by the user;
the scheduling module is used for calling the historical data of the courses corresponding to the account according to the types of the courses;
the updating module is used for updating the historical data of the courses corresponding to the account according to the data input by the user;
the blockchain module is used for submitting the updating data to a blockchain network;
the system also includes an evaluation and repair module,
the evaluation and repair module evaluates the quality of the data submitted to the block chain network and repairs the low-quality data, and the evaluation and repair steps are as follows:
(1) data integrity assessment
Collecting and calculating nodes by using key values, when missing values appear in the key values, containing a dependency set for each given data type and condition, if the key value pair is matched with a left-hand side of a condition containing dependency, not marking the missing value as missing, otherwise, marking the missing value as missing, and then filling the missing value by using DataCplRep;
(2) data redundancy assessment
Using key value collection computing nodes, for each type and a given matching dependency set, if two key value pairs match the left-hand side of a certain matching dependency, marking the two key value pairs as redundant, and then deleting any one of the two key values by using DataDupRep;
(3) data consistency assessment
Using key value collection computing nodes, for each type and given condition function dependency set, if two key value pairs match the left-hand side of a condition function dependency and do not match the right-hand side of the condition function dependency, marking the two key value pairs as inconsistent, and then using DataConsRe to repair the key values through the same values;
(4) data accuracy assessment
With a key-value collection compute node, containing a set of dependencies and accuracy requirements for each type and given condition, if a key-value pair matches the left-hand side of an accuracy requirement, but its value does not match the right-hand side of the accuracy requirement, then that value will be marked as inaccurate, and then the inaccurate value will be repaired with DataAccRep.
Further, the system also comprises a data checking module,
and the data checking module checks the updated data, judges whether the updated data exceeds a threshold value or not, does not process the updated data if the updated data does not exceed the threshold value, locks the corresponding course if the updated data exceeds the threshold value, and adds the score corresponding to the course into the account score.
Further, the system also comprises a score exchange module,
the score exchange module receives an exchange request of a user, judges whether the current class time of a course corresponding to the exchange request of the user meets an exchange standard or not, if not, does not process the course, if so, deducts the class time corresponding to the exchange standard from the current class time of the course, and adds the score corresponding to the course into the account credit.
Further, the basic information of the user includes course information, locked course information and time information corresponding to the course information.
Furthermore, the system also comprises a progress module, wherein the progress module is used for generating the progress information of the current course according to the current time information and the threshold information of the course.
Furthermore, the system also comprises a statistic module, wherein the statistic module is used for counting the current course progress information of each course and displaying the current course progress information of each course in the basic information of the user.
Further, the system also comprises an achievement authentication module, and the achievement authentication module updates and authenticates the learning achievement and the learning achievement conversion information according to the input of the user.
The invention has the beneficial effects that: the method and the device can efficiently and accurately call and update the information of the user, can display the basic information, can automatically update data, and can automatically exchange scores or manually exchange scores when the user meets conditions in class.
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Fig. 1 is a system configuration diagram of the present application.
Detailed Description
It should be noted that, in the present invention, the embodiments disclosed in the present application may be combined with each other without conflict.
The first embodiment is as follows: specifically describing the embodiment with reference to fig. 1, the credit bank self-service system based on the block chain in the embodiment includes: the system comprises an information query module, a planning module, a scheduling module, an updating module and a block chain module;
the information query module is used for determining account information corresponding to a user according to information input by the user, and the account information comprises user basic information and credit;
the planning module is used for receiving class time information input by a user and course types selected by the user;
the scheduling module is used for calling the historical data of the courses corresponding to the account according to the types of the courses;
the updating module is used for updating the historical data of the courses corresponding to the account according to the data input by the user;
the blockchain module is used for submitting the updating data to a blockchain network;
the system also includes an evaluation and repair module,
the evaluation and repair module evaluates the quality of the data submitted to the block chain network and repairs the low-quality data, and the evaluation and repair steps are as follows:
(1) data integrity assessment
Collecting and calculating nodes by using key values, when missing values appear in the key values, containing a dependency set for each given data type and condition, if the key value pair is matched with a left-hand side of a condition containing dependency, not marking the missing value as missing, otherwise, marking the missing value as missing, and then filling the missing value by using DataCplRep;
(2) data redundancy assessment
Using key value collection computing nodes, for each type and a given matching dependency set, if two key value pairs match the left-hand side of a certain matching dependency, marking the two key value pairs as redundant, and then deleting any one of the two key values by using DataDupRep;
(3) data consistency assessment
Using key value collection computing nodes, for each type and given condition function dependency set, if two key value pairs match the left-hand side of a condition function dependency and do not match the right-hand side of the condition function dependency, marking the two key value pairs as inconsistent, and then using DataConsRe to repair the key values through the same values;
(4) data accuracy assessment
With a key-value collection compute node, containing a set of dependencies and accuracy requirements for each type and given condition, if a key-value pair matches the left-hand side of an accuracy requirement, but its value does not match the right-hand side of the accuracy requirement, then that value will be marked as inaccurate, and then the inaccurate value will be repaired with DataAccRep.
The second embodiment is as follows: the embodiment is a further description of the first embodiment, and the difference between the first embodiment and the second embodiment is that the system further comprises a data checking module,
and the data checking module checks the updated data, judges whether the updated data exceeds a threshold value or not, does not process the updated data if the updated data does not exceed the threshold value, locks the corresponding course if the updated data exceeds the threshold value, and adds the score corresponding to the course into the account score.
The third concrete implementation mode: the embodiment is further described with respect to the first embodiment, and the difference between the first embodiment and the second embodiment is that the system further comprises a score exchanging module,
the score exchange module receives an exchange request of a user, judges whether the current class time of a course corresponding to the exchange request of the user meets an exchange standard or not, if not, does not process the course, if so, deducts the class time corresponding to the exchange standard from the current class time of the course, and adds the score corresponding to the course into the account credit.
The fourth concrete implementation mode: the present embodiment is a further description of the first embodiment, and the difference between the present embodiment and the first embodiment is that the user basic information includes course information, locked course information, and time information corresponding to the course information.
The fifth concrete implementation mode: the embodiment is a further description of the first specific embodiment, and the difference between the first specific embodiment and the second specific embodiment is that the system further includes a progress module, and the progress module is configured to generate current course progress information according to current time information and threshold information of a course.
The sixth specific implementation mode: the fifth embodiment is further described with respect to a fifth embodiment, and the difference between the fifth embodiment and the fifth embodiment is that the system further includes a statistics module, where the statistics module is configured to count the current course progress information of each course, and display the current course progress information of each course in the user basic information.
The seventh embodiment: the embodiment is a further description of the first embodiment, and the difference between the embodiment and the first embodiment is that the system further includes an achievement authentication module, and the achievement authentication module updates the authentication learning achievement and the learning achievement conversion information according to the input of the user.
It should be noted that the detailed description is only for explaining and explaining the technical solution of the present invention, and the scope of protection of the claims is not limited thereby. It is intended that all such modifications and variations be included within the scope of the invention as defined in the following claims and the description.
Claims (7)
1. The utility model provides a credit bank self-service system based on block chain which characterized in that includes: the system comprises an information query module, a planning module, a scheduling module, an updating module and a block chain module;
the information query module is used for determining account information corresponding to a user according to information input by the user, and the account information comprises user basic information and credit;
the planning module is used for receiving class time information input by a user and course types selected by the user;
the scheduling module is used for calling the historical data of the courses corresponding to the account according to the types of the courses;
the updating module is used for updating the historical data of the courses corresponding to the account according to the data input by the user;
the blockchain module is used for submitting the updating data to a blockchain network;
the system also includes an evaluation and repair module,
the evaluation and repair module evaluates the quality of the data submitted to the block chain network and repairs the low-quality data, and the evaluation and repair steps are as follows:
(1) data integrity assessment
Using a key value collection computing node, when a missing value appears in a key value, for each given data type and condition, including a dependency set, if the key value pair matches a left-hand side of a condition including dependency, not marking the missing value as missing, otherwise, marking the missing value as missing, and then filling the missing value by using DataCplRep;
(2) data redundancy assessment
Using key value collection computing nodes, for each type and a given matching dependency set, if two key value pairs match the left-hand side of a certain matching dependency, marking the two key value pairs as redundant, and then deleting any one of the two key values by using DataDupRep;
(3) data consistency assessment
Using key value collection computing nodes, for each type and given condition function dependency set, if two key value pairs match the left-hand side of a condition function dependency and do not match the right-hand side of the condition function dependency, marking the two key value pairs as inconsistent, and then using DataConsRe to repair the key values through the same values;
(4) data accuracy assessment
With a key-value collection compute node, containing a set of dependencies and accuracy requirements for each type and given condition, if a key-value pair matches the left-hand side of an accuracy requirement, but its value does not match the right-hand side of the accuracy requirement, then that value will be marked as inaccurate, and then the inaccurate value will be repaired with DataAccRep.
2. The credit bank self-service system based on the block chain as claimed in claim 1, wherein the system further comprises a data checking module,
and the data checking module checks the updated data, judges whether the updated data exceeds a threshold value or not, does not process the updated data if the updated data does not exceed the threshold value, locks the corresponding course if the updated data exceeds the threshold value, and adds the score corresponding to the course into the account score.
3. The credit bank self-service system based on the block chain as claimed in claim 1, wherein the system further comprises a point exchange module,
the score exchange module receives an exchange request of a user, judges whether the current class time of a course corresponding to the exchange request of the user meets an exchange standard or not, if not, does not process the course, if so, deducts the class time corresponding to the exchange standard from the current class time of the course, and adds the score corresponding to the course into the account credit.
4. The credit bank self-service system based on the block chain as claimed in claim 1, wherein the user basic information includes course information, locked course information and time information corresponding to the course information.
5. The credit bank self-service system based on the block chain as claimed in claim 1, wherein the system further comprises a progress module for generating current course progress information according to the current time information of the course and the threshold information.
6. The credit bank self-service system based on the block chain as claimed in claim 5, wherein the system further comprises a statistic module, the statistic module is used for counting the current course progress information of each course and displaying the current course progress information of each course in the user basic information.
7. The credit bank self-service system based on the block chain as claimed in claim 1, wherein the system further comprises an achievement authentication module, and the achievement authentication module updates the authentication learning achievement and the learning achievement conversion information according to the input of the user.
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Cited By (3)
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| CN115860698A (en) * | 2023-02-23 | 2023-03-28 | 广东开放大学（广东理工职业学院） | Credit bank management system based on block chain and cloud computing technology |
| CN116089402A (en) * | 2023-04-07 | 2023-05-09 | 山东财经大学 | Block chain asset data intelligent processing system |
| CN117593102A (en) * | 2023-11-20 | 2024-02-23 | 广东工程职业技术学院 | Method for managing academic credit bank of universities and colleges of higher office |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115860698A (en) * | 2023-02-23 | 2023-03-28 | 广东开放大学（广东理工职业学院） | Credit bank management system based on block chain and cloud computing technology |
| CN115860698B (en) * | 2023-02-23 | 2023-04-28 | 广东开放大学（广东理工职业学院） | Bin bank management system based on blockchain and cloud computing technology |
| CN116089402A (en) * | 2023-04-07 | 2023-05-09 | 山东财经大学 | Block chain asset data intelligent processing system |
| CN117593102A (en) * | 2023-11-20 | 2024-02-23 | 广东工程职业技术学院 | Method for managing academic credit bank of universities and colleges of higher office |
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Application publication date: 20210924 |