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Legal standing (The legal status is an assumption and isn't a legal conclusion. Current Assignee (The listed assignees could also be inaccurate. Priority date (The precedence date is an assumption and is not a authorized conclusion. The invention discloses a wind control data tracking method based mostly on a block chain, ItagPro and relates to the technical discipline of information monitoring. The tactic comprises the next steps: constructing a block chain; before mortgage implementation starts, the data source node uploads wind control data to a server of a block chain, a credit score evaluation node calculates a credit score score of a borrower, and then chain hyperlink is performed on the credit rating, and the loan node judges whether or not loan is released or not and chain hyperlink is carried out on a judgment end result; within the loan implementation course of, the mortgage node uploads the repayment record of a borrower to a server of the block chain; after the mortgage is carried out, inquiring whether overdue repayment and/or interrupted repayment exists or not, feeding again an inquiry end result to the credit score evaluation mannequin, and sending the inquiry outcome to a server of the block chain for chaining; the credit score analysis mannequin accommodates factors which are affected by the question outcomes.



The invention can monitor the wind management knowledge monitoring of the entire loan process, so that the danger control is more perfect and the mortgage reservation judgment is more correct. The invention relates to the technical subject of information tracking, in particular to a block chain-based wind management knowledge tracking technique, ItagPro terminal tools and a storage medium. In the normal wind management expertise, experience control is performed in a guide mode by the wind control group of each mechanism. However, with the steady growth of web know-how, the entire society is drastically accelerated, and the standard wind control mode cannot help the business growth of the mechanism; the massive knowledge can be used for intelligently processing multidimensional and huge amount of knowledge, and batch and standardized execution processes can better meet the event necessities of the wind control business in the data improvement period; more and more intense business competition is also the important motive for at the moment's big data to manage such fires.



Big information wind management, specifically massive data risk control, refers to the danger management and danger prompt of a borrower through the use of a method of constructing a model by huge information. Different from the unique synthetic experience type wind management on the borrowing enterprise or the borrower, the big information wind control for finishing up knowledge modeling by acquiring numerous indexes of a lot of borrowers or the borrowing enterprise is extra scientific and efficient. However, the invention patent solely screens the info of the enterprise earlier than the mortgage is carried out, but does not relate to the information monitoring after the implementation, and a suggestions mechanism after the mortgage is lacked, so that the management on the danger shouldn't be excellent, ItagPro and the state of affairs that the judgment isn't correct sufficient often happens. Therefore, how one can develop a wind control knowledge monitoring methodology able to realizing the entire mortgage course of is one in every of the issues to be solved urgently.



In order to resolve at the least one technical problem talked about in the background artwork, ItagPro an object of the present invention is to supply a block chain-based mostly wind control information monitoring technique, ItagPro a terminal device, and a storage medium, which can monitor wind management knowledge tracking of a mortgage full process, so that threat control is extra full and mortgage determination is extra correct. Further, if a plurality of information supply nodes present the same merchandise of wind management knowledge, setting confidence degrees aiming at the item of wind control knowledge for the plurality of information supply nodes respectively; when the credit score analysis mannequin calculates the credit rating, selecting the credit analysis node with the very best confidence coefficient to offer corresponding merchandise wind control knowledge; and when the overdue payment and/or the interrupted cost exist in a sure knowledge chain, performing confidence punishment on all knowledge source nodes collaborating in offering the wind management knowledge in the info chain, and/or when the overdue fee and the interrupted payment do not exist in the certain data chain, performing confidence reward on all data supply nodes participating in offering the wind management knowledge in the information chain.



Further, the arrogance penalty technique is as follows: when overdue repayment exists in a certain data chain but interrupted repayment does not exist, lowering the boldness levels of all knowledge supply nodes taking part in providing the wind control information in the info chain by a first step length, and/or lowering the boldness levels of all knowledge source nodes collaborating in providing the wind control knowledge in the info chain by a second step length when interrupted repayment exists in the certain information chain; step one dimension is smaller than the second step dimension. Further, the arrogance reward method is as follows: and when the situations of overdue repayment and interrupted repayment do not exist in a sure data chain, rising the boldness levels of all data source nodes collaborating in offering the wind control information in the information chain by a 3rd step length. Further, within the technique of selecting the credit score analysis node providing the wind control data, one of many credit evaluation nodes is chosen if the credit analysis node with the very best confidence coefficient is offered.