406 results about "Risk prevention" patented technology

A system to translate and express a company's e-business risk in dollars and to then compare investment alternatives in computer-based risk technology and risk insurance policy coverage to achieve the most favored risk management. This most favored risk management is a combination of computer-based risk technology and risk insurance policy coverage determined by the risk reduction potential of each type of investment. The system provides the means of comparing investment costs of risk prevention computer-based technology with one or more risk insurance policies.

The invention provides a water quality model based regional environment risk assessment method. The water quality model based regional environment risk assessment method includes five steps of establishing a regional environment risk source information database, and utilizing a Monte Carlo algorithm to simulate discharge of risk source pollutants; selecting a water quality model, and constructing a water quality model which meets characteristics of an assessment region source intensity water quality response relationship; calculating vulnerability indexes of risk receptors by using a fuzzy integral method with the risk assessment goal of influence on water ecology, human health and social economy; utilizing the water quality model to predict the distribution of regional pollutant concentration under all possible source intensity situations, and analyzing dangerousness of risk sources; characterizing regional environment risks with a risk curve under the synthesis of dangerousness of the risk sources and vulnerability indexes of the receptors. According to the risk curve, regional environment risk assessment can be performed, high-risk regions, and key risk sources and vulnerary receptors are identified, so that a reference is provided for planning a targeted region risk prevention and control scheme.

The invention relates to the technical field of loan risk prevention and control system, in particular to a group fraud identification system based on a knowledge map, which includes an information collection module, an abnormality analysis module, an association analysis module, a group identification module, a display module, a display setting module and a survey and digging module. The information collection module is used for collecting personal information of the borrower. The abnormality analysis module is used for detecting and analyzing abnormal behavior or abnormal data of the borrower, and the association analysis module is used for analyzing the association relationship between the suspected fraudulent user and other borrowers or third-party blacklisted persons. The group identification module is used for finding other suspected fraudulent users related to the suspected fraudulent users according to the association relationship and forming a suspected fraudulent group for the case investigator to judge. The invention provides a group fraud identification system based on a knowledge map, which can identify and evaluate the groups among borrowers, find out the groups thatmay have fraud risk, and reduce unnecessary losses of banks.

The invention discloses a petrochemical port area accident risk area quantitative assessment method comprising the following steps: (1) putting forward a petrochemical port area accident integrated risk area quantitative assessment mode; (2) building an improved accident probability calculation model based on an accident domino effect; (3) building an improved consequence intensity calculation model based on uncertainty analysis; and (4) getting the formation mechanism and the overall distribution characteristics of accident risk in a petrochemical port area according to the corrected accident integrated risk area quantitative assessment mode, the improved accident probability calculation model and the improved consequence intensity calculation model, and putting forward petrochemical port area accident risk control measures. By employing the method of the invention, the accuracy of accident probability calculation and consequence simulation is improved, and the guiding significance of risk assessment to risk prevention and control is enhanced.

The application provides a method and device for preventing and controlling an account take-over fraud risk. The method comprises: a transaction request is obtained, wherein the transaction request includes transaction information; a transaction feature corresponding to the transaction information is determined by responding to the transaction request; according to the transaction feature, a risklevel corresponding to the transaction information is determined by using a risk identification model policy, wherein the risk identification model policy includes a risk identification policy and a risk identification model assembly and the risk identification model assembly is obtained by training based on a corresponding relationship between transaction features of a plurality of pieces of historical user transaction information and risk levels of the historical user transaction information. Therefore, the intelligent risk prevention and control function of the account take-over fraud is realized; and thus the risk prevention and control of the transaction account take-over fraud in the payment field is realized.

The invention discloses an international capacity cooperation risk assessment and decision service system based on big data. The system comprises a distributed structure/unstructured database, a dataaccess layer which receives data collected by a front end through a standard communication interface and automatically inputs the data into the distributed structure/unstructured database according toa standard format, an information collection and pre-processing layer which collects data, pre-processes the collected data, mines and refines effective information, extracts information keywords andconstructs an index, an analyzing layer which identifies valuable information content from real-time information flow, clusters information for country risk, industry analysis and international public opinion analysis, and displays the information in the form of an information table, and an application layer which provides query and retrieval functions for query users, carries out multi-dimensional visualized output on the queried and retrieved information, and generates a corresponding report. According to the invention, information technological means are used to strengthen the risk prevention and control capability of Chinese enterprises to participate in the international capacity cooperation process.

The invention provides a bank financial atlas construction and analysis method. The method mainly comprises a financial atlas construction method and two typical analysis models based on financial atlass. The financial atlas construction method provides a universal bank data model with an atlas as a structure. The method mainly comprises three types of nodes of a bank, a client and a deposit account and five types of relations of transaction, guarantee, loan, correspondence and control among the nodes. The data in the bank relation database can be converted into the graph data, and a special graph database management system is adopted to store the graph data, so that the demand expression of associated data analysis is clearer, and the processing efficiency is greatly improved. The financial atlas analysis model comprises a consumer loan illegal entry real estate industry model and a guarantee ring model. According to the method, the analysis efficiency is effectively improved by usingtypical graph query and graph traversal modes respectively, required data can be quickly and accurately found out from massive bank data, and risk prevention of a bank and macroscopic decision of a bank supervision department are facilitated.

The embodiment of the invention discloses a mobile payment method and wearable equipment. The method comprises: a transaction request instruction of a host-based card emulation (HCE) mobile terminal is received; an identity identifier of the host-based card emulation mobile terminal is obtained from the transaction request instruction; whether the identity identifier is an identity identifier of a management entity of a security element (SE) in wearable equipment is determined; if so, transaction communication with an external terminal is carried out in response to the transaction request. According to the embodiment of the invention, the SE function of the HCE mobile terminal is realized in wearable equipment, so that transaction security is improved when the HCE mobile terminal carries out NFC transaction and thus the risk prevention level becomes high.

Tools for facilitating the process of providing presentation instrument redemption services, including without limitation tools that implement techniques for authenticating the identity of a check cashing customer through the use of biometric data that is derived from one or more biometric characteristics of the customer. The tools can be used to enroll the customer in a check cashing program, using biometric data as an authentication key. Thereafter, when the customer attempts to redeem a presentation instrument, the customer can provide the same biometric data, and the tools can authenticate the identity of the customer based one the biometric data. The tools can implement additional risk-prevention measures, such as risk-profiling routines, which can be used to estimate the risk of a fraudulent transaction, based on a variety of risk factors associated with the customer and/or the requested transaction.

The invention relates to a loan risk prevention and control method. The method includes the following steps that: (1) a loan terminal obtains the geographic position of a mortgaged vehicle in real time and detects the moving state of the vehicle; (2) information acquired in the step (1) is uploaded to a main control server; and (3) the main control server records and analyzes the parking location, parking duration and parking time of the debited vehicle so as to generate a moving state record of the vehicle and transmits the record to a management terminal. The invention also provides a vehicle-mounted system. The vehicle-mounted system includes a GPS positioning device, a main control server and a user terminal. The objective of the invention is to realize a technology risk-control expert in the vehicle financial industry in China; based on rich theoretical knowledge and practical experience in the vehicle financial industry, Internet thinking is introduced; advanced technologies are utilized; platform function development is focused; newly emerging individual demands in the industry are satisfied; rigid demands are optimized and upgraded; and therefore, the loan risk prevention and control method and the vehicle-mounted system can serve as a technology risk-control expert in the vehicle financial industry.

The invention discloses a civil aviation professional engineering general contract project management system based on a BIM technology, and belongs to the technical field of civil aviation professional engineering informatization. The system comprises a design management module used for realizing online sharing, online multi-party review and argumentation of achievements in a design stage, and online filing and trace leaving of design files in each stage; a progress management module used for visually displaying a progress state, a progress output value completion condition and progress information of a construction part; a risk control module used for embedding the list identification risk level of the airport engineering and the key process control content of the risk point into a platform, and integrating risk prevention and control into daily management; a remote monitoring module used for carrying out safety monitoring and video monitoring on the construction site; and an event management module used for managing and controlling problems of field quality, civilized construction and design coordination. According to the method, lightweight and standardized rapid modeling of theBIM technology and deep fusion of the pre-project management logic can be realized, and the airport construction efficiency can be effectively improved.

The invention provides a power grid operating risk recognition and prevention method and system. According to the method, a power grid model is extracted with the CIM as the standard, and operating measurement data of a power grid are imported into the model at a fixed period to form a near-real-time operating environment; the power grid operating risk grading standard, an electrical topology analysis algorithm and an expert rule base are introduced under the operating environment to set up a power grid operating risk recognition and prevention bank, an auxiliary platform integrating active risk recognition, accident evaluation and restoration control is set up, the data under the power grid real-time operating mode are integrated through the CIM standard, the problem that information system data set up by different manufactures can not be shared is solved, and the sound data support is provided for the power grid safety evaluation; on this basis, the evaluation standard for reasonably evaluating and grading operation risks is increased, and the power grid operating risk recognition and prevention system is constructed; an operating risk prevention and control work mode with the system operation as the center and without participation of related departments together is achieved, and the operating risk prevention and control work level of the power grid is improved.

The invention relates to the technical field of loan risk prevention and control system, in particular to a post-loan early warning monitoring system based on knowledge map technology. Includes a borrower information collection module, wherein the borrower information collection module is used for collecting the related information of the borrower; An associated person analysis module, wherein theassociated person analysis module is used for analyzing and screening the personnel associated with the borrower according to the associated information of the borrower, and forming a knowledge map of the associated personnel with the borrower as the core; An association degree calculation module, wherein the association degree calculation module is used for calculating an association degree score between the borrower and the associated person according to the knowledge map of the associated person; The associated person risk monitoring module is used for monitoring the risk event of the associated person. The after-loan early warning monitoring system based on the knowledge map technology provided by the invention can acquire the risk tendency of the borrower in advance, so as to take measures for the borrower as early as possible and reduce unnecessary losses of the bank.

The invention relates to a system for controlling printing flow, and belongs to the technical field of printing management. A controlling method for preventing and correcting errors of the printing flow by a system server comprises the following steps: generating bar codes before printing; transporting the generated bar codes to a plate room for plate burning; receiving plates and comparing the bar codes; comparing the bar codes of four color plates before printing; printing; carrying out foldout online bar code comparison after completing the printing; according to the flow selection, carrying out riding online bar code comparison, cementing online bar code comparison or locking wire online bar code comparison; carrying out production inspection, and packaging; and printing and sticking a carton sticker with the bar code and entering a warehouse. By utilizing a bar code identification method and the image bearing property of the printing industry, exerting a database management mode, and combining the whole production flow of a printing enterprise, the system prevents the errors, realizes the implementation and control of the whole flow, radically changes the trouble that the printing enterprise carries out posttreatment only after the errors are found out, and improves the risk prevention capacity and the product quality of the enterprise.

The invention discloses a deepwater net cage with a single-point mooring system. The deepwater net cage comprises a floating pipe frame (1), netting (2) and the mooring system; the floating pipe frame (1) floats on the sea level (SL), the top of the netting (2) is connected with the floating pipe frame (1), and a netting weight (3) is tied and hung at the bottom of the netting (2) so as to form space for mariculture; the mooring system comprises an anchor (4), an anchor rope (5) and an anchor rope weight (6); the floating pipe frame (1) is provided with a box tying point (1a), the anchor (4) is sunk into the sea floor (SF), the lower end of the anchor rope (5) is connected with the anchor (4), the upper end of the anchor rope (5) is connected with the box tying point (1a), the anchor rope weight (6) is tied and hung on the anchor rope (5), and the length of the part, located between a tying and hanging point of the anchor rope weight (6) and the upper end of the anchor rope (5), of the anchor rope (5) approximates the lowest water level water depth of the position of the anchor (4). The deepwater net cage is high in anti-typhoon capacity and risk prevention capacity.

The present specification provides a post-payment transaction data processing method and device, a processing apparatus, and a server. The method comprises the following steps of: receiving risk inquiry information, wherein the risk inquiry information comprises a transaction amount and a transaction user identification; obtaining a payment channel corresponding to the transaction user identification according to the transaction user identification; determining a payable forecast value of the payment channel for the transaction amount based on the payment channel and the transaction amount; according to the payable forecast value, determining the default evaluation result of the post-payment transaction. As that embodiment in the specification are utilized, the accuracy and accuracy of default prediction of the post-payment transaction are improved, the reliability of risk prevention and control of the post-payment transaction is improved, the risk of the post-payment transaction is reduced, the fund los of the post-payment transaction is reduced, and the user experience of the post-payment transaction is improved.

Embodiments of the present application provide a method and a device for risk management model assessment. The method includes: determining identification information of a target business scenario that is to be assessed; then, based on a correspondence relationship between the identification information of an established business scenario and event information generated in the business scenario,determining event information generated in the target business scenario; acquiring assessment data corresponding to the event information generated under the target business scenario; and based on theassessment data, assessing risk prevention and control capabilities for target business scenarios of a risk management model wherein the above assessment data includes audit data that is acquired through auditing the event information generated in the target business scenario by the risk management model.

The application discloses a method and device for information risk prevention and control. The method comprises the steps that a first system receives user behavior data sent by a client side as well as an event sent by a second system; according to designated risk control subject information, an event and user behavior data containing the risk control subject information are extracted; the extracted event and the extracted user behavior data are converted into corresponding behavior information; and risk control processing is conducted to the risk control subject information according to the behavior information which is obtained through conversion. By the method, the user behavior data is collected by the client side; stress borne by the second system can be reduced, and types of the collected user behavior data can be increased as well; and risk control accuracy can be increased effectively based on multiple types of the user behavior data and the event recorded by the second system.

The invention discloses an investment and wealth management risk prevention and control system, which includes an online learning module, a risk type evaluation module, a risk control ball game module, an investment tool library, a risk case library, a member center module, a unified interface module, a risk prevention and control module, an asset Configuration module, risk prevention and control artifact module (including age financial planning artifact module, pension financial planning artifact module, target financial planning artifact module, comprehensive financial planning artifact module, asset allocation diagnostic artifact module and investment risk control officer diagnostic artifact module) and special topics Report generation module; the present invention discloses a method for preventing and controlling investment and financial management risks, including establishing a financial management risk control concept, self-diagnosis and analysis of risk control, investment and financial risk control learning, investment and financial risk control practice, and self-tracking risk control adjustment. The system and method of the present invention focus on asset allocation and risk prevention and control, and provide Internet users with investment and financial management risk prevention and control services.

The invention relates to a centralized operation and maintenance-based hardware resource analysis and assessment method. The method comprises the following steps of: 1) defining types of system hardware resource monitoring indexes; 2) periodically acquiring system hardware resource indexes; 3) establishing an analysis and assessment model for the system hardware resource monitoring indexes; and 4)analyzing and assessing system hardware resources. Aiming at automatic equipment resource data of multistage systems in a centralized operation and maintenance mode, multiple effective analysis and assessment methods are provided to predict system resource development trend, mine rules of system operation process and potential safety hazards, assist and schedule automatic operation and maintenance personnel to comprehensively grasp possible problems of the systems, enhance risk prevention levels of multistage intelligent power grid scheduling control systems, and satisfy requirements, for operation and maintenance work of scheduling control systems, of rapid development of power grids.

The invention relates to a safety and stability analysis method for a power grid. The method comprises steps as follows: sensitivity calculation, risk result analysis, risk prevention and control and risk rating. The safety and stability analysis method has the advantages as follows: with adoption of the analysis method, all sets of failure equipment are sequenced through sensitivity calculation, a risk value of each risk source is given out, risk prevention and control are performed, the risk grade is given out according to regulations, and an important basis is provided for safety and stability analysis of the regional power grid; compared with a conventional analysis method, the analysis result is good, risks of the power grid can be well analyzed and assessed, risk rating by an operator and operation overhaul by the operator are facilitated, and the safety operation of the power grid is improved.

The invention provides an enterprise dishonest probability prediction method and system based on LightGBM. The method comprises the following steps: analyzing and understanding credit behavior footprint information left by an enterprise in each aspect; preprocessing the data, carrying out further feature engineering on the existing data feature dimension in combination with service requirements; and then, reducing the dimension of the feature by using a feature selection and feature dimension reduction related method, learning data by using a machine learning model taking LightGBM as a main part, and obtaining a probability risk value of enterprise trust loss and a classification of whether the enterprise trust loss occurs or not by using the trained model. According to the technical scheme, the capabilities of preventing fraud and reducing the reject ratio of financial institutions can be further improved; accurate identification of whether an enterprise is credible is realized, problems of enterprise financing and credit evaluation are solved, financing risk prevention capability can be effectively improved, and the method can be widely applied to the field of enterprise loan auditing and enterprise social credit evaluation of banks.