Risk early warning method and device based on big data and computer equipment

A risk early warning and risk prediction technology, applied in the computer field, can solve the problems of low early warning efficiency and high manpower and material resources

Pending Publication Date: 2019-05-31
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the large number of monitoring objects, different scales, and different industries and regions, manual identification requires a lot of manpower and material resources, which reduces the efficiency of early warning

Method used

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  • Risk early warning method and device based on big data and computer equipment
  • Risk early warning method and device based on big data and computer equipment
  • Risk early warning method and device based on big data and computer equipment

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0021] The risk early warning method based on big data provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through a network. Wherein, the terminal 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server 104 can be realized by an independent server or a server cluster composed of multiple servers. When the user needs to perform risk analysis on the selected virtual...

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Abstract

The invention relates to a risk early warning method and device based on big data, computer equipment and a storage medium. The method comprises the steps of receiving a risk analysis request sent bya terminal, wherein the risk analysis request carries an analysis dimension and virtual resources selected by a user; determining a monitoring object corresponding to the virtual resource and an industry type of the monitoring object; determining a corresponding risk prediction model according to the industry type and the analysis dimension; obtaining monitoring data of the monitoring object basedon the analysis dimension, and preprocessing the monitoring data to obtain a factor value corresponding to each monitoring factor contained in the risk prediction model; inputting the factor value into a risk prediction model, and calculating and obtaining a risk score; and clustering the risk scores, and returning a clustering result to the terminal. By adopting the method, the risk early warning efficiency can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a risk warning method, device and computer equipment based on big data. Background technique [0002] Risk early warning is a necessary business link in many industries. For example, in the financial industry, it is necessary to monitor and warn the issuer of virtual resources whether there is a risk of default. Risk early warning refers to the process of using various information channels and analysis methods to determine identification indicators according to the risk strategy and risk preference of financial institutions, and using these identification indicators as a starting point to identify potential risks in a timely manner. Traditional risk warning mainly relies on manual work. Due to the large number of monitoring objects, different scales, and different industries and regions, manual identification requires a lot of manpower and material resources, which ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06F17/27
Inventor 季洁璐彭琛汪伟
Owner PING AN TECH (SHENZHEN) CO LTD
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