119 results about "Risk matrix" patented technology

A method of and system for creating an organization risk matrix and an organization value matrix and using said matrices to support the optimization of one or more aspects of organization risk and value.

An automated method and system (100) for supplying risk transfer products to a client company on a continual basis. After the client company provides a matrix of risk to the risk transfer supply chain, swaps and / or insurance products that provide the desired risk transfer are identified and priced. The information regarding the proposed risk transfer swaps and products is optionally reviewed by the user (20) and optionally accepted. If accepted, the transaction is completed in an automated fashion. Prices and contingent capital purchases are established as required to keep the operator of the risk transfer supply chain in compliance with regulatory reserve requirements.

Techniques for managing risks of a business enterprise include identifying a threat to a business enterprise; identifying, based on the threat, a plurality of business enterprise assets and associated impacts; determining a plurality of threat scenarios, each threat scenario including a qualitative probability and a qualitative impact; assigning a quantitative probability and a quantitative impact to each of the plurality of scenarios based on an evaluation of the qualitative probability and the qualitative impact in a risk matrix; determining, with a simulation model, a quantitative risk of the identified threat based on the assigned quantitative probability and quantitative impact; and preparing an output including the determined quantitative risk of the identified threat for display.

The invention discloses a risk assessment method based on a fuzzy matrix and an analytic hierarchy process. The risk assessment method based on the fuzzy matrix and the analytic hierarchy process comprises the steps that a plurality of evaluation indexes are set to generate an evaluation index domain; a plurality of evaluation scales are set to generate an evaluation scale domain, and each evaluation scale corresponds to a scale fuzzy subset; the membership of a dangerous source for each scale fuzzy subset is calculated, and a membership matrix is constructed; weight vectors of the evaluation indexes are calculated; a fuzzy comprehensive evaluation result vector of the dangerous source is synthesized; a risk assessment value is calculated; a risk value is calculated, and the risk condition of the dangerous source is judged according to a risk matrix and the risk value. Through the application of the fuzzy matrix and the analytic hierarchy process in risk assessment, the risk assessment method is used for analyzing various undetermined factors and indexes in the risk assessment process; first-scale indexes and second-scale indexes are set for evaluation from multiple aspects, so that analysis is more comprehensive and a danger value of possibility and a danger value of severity are formed; curving of a risky area chart guarantees stable risk conditions of the dangerous source.

Methods and apparatuses, including computer program products, are described for transaction-based security risk aggregation and analysis. A server computing device receives security risk data elements from a plurality of data sources. The security risk data elements correspond to a transaction submitted by a remote computing device to the server computing device for execution. The server computing device aggregates the security risk data elements into a weighted risk matrix and generates a risk score for the submitted transaction based upon the weighted risk matrix. The server computing device determines a business-level context and an execution priority of the submitted transaction, the business-level context and the execution priority based upon the security risk data elements. The server computing device adjusts the risk score for the submitted transaction based upon the business-level context and the execution priority and determines whether to allow execution of the transaction based upon the adjusted risk score.

A risk assessment method for insurance coverage of an enterprise includes identifying component risk activities of the enterprise, identifying the risk exposure factors which may be applicable to such activities, numerically scoring each activity against each risk exposure factor on the frequency and severity of potential claims on the exposure factor for the activity in a risk matrix, summing all the scores for each activity to obtain a corresponding total risk rating, and analyzing each total risk rating against hierarchies of approval authority to bind coverage on the activity and the potential premium rate for the activity. The method includes identifying a highest total risk rating an applicant as a customer rating which is used as an overall measure of potential risk exposure for the applicant. The method includes the capability of automatically declining, approving, or renewing coverage based on the customer rating.

The invention provides a GIS (Geographic Information System) state evaluation method based on a standard state analysis and a GIS state evaluation device based on standard state analysis. The method comprises the following steps: evaluating the health degree of GIS from the aspects of equipment aging, equipment strength and power grid strength according to key state quantity of the GIS, so as to obtain the health degree index BI of the GIS; evaluating the equipment importance degree of the GIS from the aspect of the power grid performance, the safety performance and the repair capacity according to equipment basic parameters of the GIS, so as to obtain the importance degree index MI; calculating a risk degree index in a risk matrix by virtue of mutual contact of associated models according to the index BI and the index MI; realizing priority ranking of equipment based on the importance degree and health degree two-dimension indexes according to the risk degree index and supervising an overhaul decision. The invention provides a 'standard state' analysis method aiming at GIS equipment. The method can be used for accurately learning of the equipment sate, realizing ranking of equipment basic performances from good to bad and realizing the purpose of guiding and executing decision making.

A process hazard analysis (PHA) is performed in a data processing system. A chemical process to be evaluated is selected, after which a study type to be performed on the chemical process is also selected. The study type is conducted to evaluate the chemical process for the presence of hazard scenarios and any associated deficiencies requiring recommendations. After conducting the study, resolution plans to address the recommendations are generated. The study type used in the analysis may be customized or may be a known study type. The study type may use a risk matrix to generate a risk ranking for the hazard scenario. The risk matrix used may be created by the user, or may be a known risk matrix from another study type. After a resolution plan is generated, a resolution database may also be generated.

The present invention relates to a power transformer asset management device and a method thereof, the device according to the present invention including: a full cycle database managing full cycle data of a power transformer; a physical performance evaluation unit performing physical performance evaluation that calculates a health index by analyzing and weighting life information, a failure ratio, operation history, and status information of a preventive diagnosis system from the full cycle data; a risk evaluation unit performing risk evaluation by generating a risk matrix using the physical performance evaluation result; an economic evaluation unit performing economic evaluation by evaluating costs over a full cycle of the power transformer; and an asset management unit establishing an investment plan for replacing the power transformer according to a maintenance priority of the power transformer determined using the physical performance evaluation result, the risk evaluation result, and the economic evaluation result.

The present invention discloses a public area crowd gathering early warning method and system based on risk probability evaluation. The method comprises that: images are collected in real time from anintelligent monitoring device and measurable parameters of the crowd are obtained from the image stream; a center master server builds a four-level early warning model based on the measurable parameter values of the crowd and a two-dimensional risk matrix; and based on the model, analysis is carried out through the input measurable parameters of the crowd, and the automatic alarm is issued basedon the prediction results. The method and system disclosed by the present invention are based on real-time determination and prediction, dynamically analyze and warn the crowd flow and other states, collect statistics of, analyze, and evaluate the measurable parameters of the crowd to form a risk probability evaluation result, and further generate corresponding early warning information; and the method and system has good real-time performance and high predictive accuracy, can provide warning as early as possible to minimize the occurrence of dangerous situations, and is suitable for airports,large transport hubs, and other regional facilities with large crowd mobility and high degree of crowdedness, so that public safety can be improved, and the loss of people and property can be effectively reduced.

The invention discloses a sudden water pollution accident early warning method based on Monte Carlo and an analytic hierarchy process. The method comprises the following steps: S1, pollutant simulation based on a Monte Carlo method, i.e., based on an uncertainty analysis, an uncertainty water quality model is constructed, and according to water quality, hydrology and meteorological data, time and space change rules of diffusion of pollutants are obtained through simulation and calculation by use of the Monte Carlo method; S2, calculation of a pollution accident occurrence probability, i.e., through defining occurrence conditions of downstream pollution accidents, through combination with a pollutant diffusion result, a probability density function between a pollutant peak concentration and a pollutant standard-exceeding duration is obtained, and the occurrence probability of the downstream pollutant accidents is further obtained; S3, calculation of pollution accident influences, i.e., by referring to the diffusion state of the pollutants, through combination with the analytic hierarchy process, sudden pollution accidents are evaluated, and health, economic, social and water supply system influences possibly caused by the pollution accidents are obtained; and S4, based on risk degree determination of a risk matrix, risks of early warning points are obtained comprehensively by use of a risk matrix method.

The invention discloses a matrix visualization method based on a state transition graph. The method comprises the following steps: establishing a reachable matrix according to the connectivity of all host nodes in a network topology; scanning the host nodes in a network through vulnerability scanning tools (Nessus, ISS and SARA), so that a vulnerability set for each host node is obtained; constructing the state transition graph according to the vulnerability sets of the host nodes and exploitation rules of vulnerabilities; constructing an attack path vulnerability matrix according to the state transition graph; calculating host penetration risk values of the vulnerabilities in the state transition graph based on a common vulnerability scoring system (CVSS); calculating a host vulnerability risk matrix of the state transition graph through matrix operation; and representing host vulnerability risks through a pie chart, so that a network security administrator can search for a host with the highest risk value and carry out maintenance. The method provided by the invention has the advantages that vulnerability risk information of hosts in the network can be visually and clearly described, so that a new thread of thought is provided for the visualization of risk results of the state transition graph.

The invention relates to the technical field of assessment, diagnosis and reliability of power transmission and transformation equipment, and particularly relates to a method for optimizing a maintenance strategy by using risk assessment of power transmission and transformation equipment. According to the invention, information sources required by risk assessment such as a fault tree structure, specialist experience, equipment whole process information and fault diagnosis are collected, the fault criticality and a criticality index are acquired through analyzing on the basis of the information sources, the risk level of the equipment is judged in a risk matrix, risk ranking is carried out according to the risk level, and a corresponding maintenance strategy is formulated.

A semi-quantitative risk analysis method for the gas pipeline industry based on a risk matrix includes the following steps: (1) determining accident probability grades of the risk matrix; (2) determining seriousness grades for personal loss consequences of accidents; (3) determining seriousness grades for environmental loss consequences of the accidents; (4) determining seriousness grades for property loss consequences of the accidents; (5) determining seriousness grades for reputation effect consequences of the accidents; (6) determining accident consequence seriousness grades of the risk matrix; (7) determining accident scenario risk grades; (8) achieving corresponding functions of the risk matrix through relevant software. The semi-quantitative risk analysis method provided by the invention includes five sub-modules: an information acquisition and input module, an accident probability module, an accident consequence seriousness module, a risk grade judging module, and a risk result output module; each sub-module is provided with specific and detailed computation and assessment methods, so that accident scenario risks can be specifically and strictly defined.

The invention discloses a design method of a gas pressure safety instrumented system used in a circulating hydrogen heating furnace. The design method comprises the following steps: analyzing functions of the safety instrumented system based on a risk matrix to determine a required safety integrity SIL level; computing the SIL levels of an original system (1001) and a system (1002) which is provided with a redundancy unit by a Markov modeling method; and verifying whether the improved system reaches the required SIL level. The safety instrumented system has the following advantages that: 1) the SIL level required by the system is determined according to the risk matrix, and taken as the basis for improving the system, which has good generality, visual and understandable property, and facilitates document establishment and routine maintenance; 2) the SIL levels of the original system and the system which is provided with the redundancy unit are computed by a Markov model, which can reflect a static relation among the devices and dynamic changes of the system, and has high-precision quantitative analysis of reliability; and 3) the SIL level of the system is computed by the Markov modeling method, which is not affected by a dependency relationship among the devices, wherein, the model can comprise a plurality of failure modes of the devices, and a plurality of reliability indexes such as PFS, MTTFS, PFD and MTTFD can be obtained by a single modeling.

The invention discloses a high-dimensional evaluation method for oil field operation risk. Step 1) collect risk point data, and divide the risk point data according to four indicators: risk occurrence possibility, accident level, public opinion influence degree, and economic influence degree. 2) Select the risk points existing in the oilfield operation process to analyze the possibility and degree of influence, and draw the calculated data as a scatter diagram on the vertical axis of the degree of influence; 3) Use factor analysis to extract the original data Dimensionality reduction of effective information, calculation of factor scores of possibility and degree of influence, and drawing of factor risk matrix; 4) Quantitative determination of risk importance criteria by cluster analysis method, further optimization of risk matrix; 5) Reduction of existing data Dimensional quantitative analysis, using principal component analysis to complete risk ranking. The method described in the invention can be adapted to the operation risk assessment of different oil fields by adding pruning risk points, and the analysis results are accurate and suitable for popularization.

Prospect assessment and play chance mapping tools are provided. For assessing potential resources, example systems provide dynamically linked chance maps, transformed in real time from geological properties. Input geological maps or other data are dynamically linked to resulting chance maps, so that changes in the input maps automatically update the chance map in real time. Users can generate a custom risk matrix dynamically linking geological maps with chance maps via interface tools, dropping maps directly into the matrix. A transform may programmatically convert the geologic domain to the chance domain. The user can navigate input maps, select areas of interest, and drag-and-drop geologic properties into an uncertainty engine and distribution builder for uncertainty assessment based on geologic reality. A merge tool can programmatically unify multiple geological interpretations of a prospect. The merge tool outputs a single chance of success value for multiple geologic property values at each grid node.

The invention relates to a train control system risk assessment method, which comprises the steps of collecting data of a train control system risk assessment object, and establishing a fault tree; constructing a risk matrix accommodating risk occurrence frequency and consequence severity; calculating the risk source occurrence frequency; calculating the occurrence frequency of risk events; calculating the consequence severity degree of the risk; according to the risk event occurrence frequency and the risk consequence severity degree, the risk event occurrence frequency and the risk consequence severity degree are compared with the risk matrix to evaluate the risk level; converting the fault tree into a Bayesian network, and determining a weak link of the train control system in combination with the risk source occurrence frequency; and according to the risk level, carrying out risk control on the weak link of the train control system so as to reduce the risk occurrence frequency of the train control system and reduce the consequence severity. Compared with the prior art, the method is based on the comprehensive application of various methods, ensures that the risk assessment result is accurate and effective, and provides a reliable basis for the risk control of the train control system by determining the weak link of the risk of the train control system.

The invention discloses a maintenance strategy formulation method, a terminal and a computer storage medium. The method comprises the following steps: a risk matrix under a preset risk dimension is created by taking an average failure interval time of equipment failure and an influence grade of a preset risk dimension as indexes; The risk matrix is divided into different risk grade areas accordingto the mean failure time and the impact grade. According to the historical fault data of the equipment, the average fault interval time of each fault cause is obtained, and its distribution is determined according to the average fault interval time of each fault cause and the influence grade. According to the technical scheme of the invention, By establishing a risk matrix to visually display thecorresponding relationship between equipment risk and each fault cause, the risk sequence of each fault cause can be made clear and the corresponding maintenance strategy can be formulated, and whether the maintenance strategy of each fault cause is overhauled or not can be evaluated, so that the maintenance strategy can be optimized accordingly, and the limited maintenance resources can be reasonably allocated, and so on.

The invention discloses an electric transmission line pole reliability analysis-based grid risk assessment method. The electric transmission line pole reliability analysis-based grid risk assessment method comprises, step one, collecting design data of electric transmission poles inside a grid; step two, computing the mean value mu R the mean variance sigma R of the pole component resistance R, the mean value mu SG and the mean variance sigma SG of the permanent load effect SG, the mean value mu SQ and the mean variance sigma SQ of the variable load effect SQ of every basic pole component inside the power transmission grid; step three, according to computing results of the step two, computing the reliability beta of every basic power transmission pole in the grid through a JC method; stepfour, computing the failure probability of every basic power transmission pole in the grid; step five, computing the weight factor w of every basic power transmission pole in the grid through an entropy weight method; step six, computing power transmission grid risk P. The electric transmission line pole reliability analysis-based grid risk assessment method solves the problems of high subjectivity and lack of quantitative risk analysis in two-dimensional risk matrixes in the prior art.

The invention relates to a risk registering method of a petrochemical device. The risk registering method of the petrochemical device mainly solves the problems that in the prior art, the occurrence probability of the events, caused by people, such as non-planned parking is high and the stability of device operation is low. According to the technical scheme, in the risk registering method of the petrochemical device, qualitative analysis and a quantitative risk matrix are combined for conducting risk assessment, potential risks existing in the production process of the petrochemical device are recognized and assessed, analysis evaluation is conducted on the various risks, classifying, grading and sorting are conducted on the risks, a risk registering database system of the petrochemical device is established by using the database software technology, matching and querying of root causes are realized according to the analysis result, an intelligent operation event risk recognizing function is designed, intelligent correlation of MES (Manufacturing Evaluation System) operation events and a risk registering database is realized, and risk levels, classes, causes and operation recommendation of the operation events are provided timely. The risk registering method of the petrochemical device well solves the problems and can be used in risk registering of the petrochemical device.

The invention provides an electric power communication network operation fault measuring method. The electric power communication network includes network units including cables and devices. The method includes the following steps of setting the hazard degree of the fault mode; determining the influence of the network units; determining the operational failure indexes of all network units; and measuring the operation faults of the electric power communication network. The measuring method defines the influence degree of the network units, so that the operational failure indexes contain the influence degree of the fault points on the whole network; The faults are subdivided into a set of failure modes, the hazard degree of the fault modes is defined by means of a risk matrix graph, and the influence degree of the whole network on the fault frequency is reflected; the time coefficients are defined, and the influence of the fault mode time length on the whole network is reflected; the calculation of the operation fault index is good in application prospect based on the statistical data of the communication network faults; and the operation failure index calculation method is simple, and the communication network fault condition can be comprehensively reflected.

The invention relates to a method for estimating the operation risks of a unit-system power distribution network, and belongs to the technical field of power system intelligent analysis and control. The method comprises the steps: dividing a power distribution network structure into a plurality of units according to the unit-system power distribution network planning and reconstruction which is strongly promoted currently, taking a power supply unit as the minimum logic analysis unit for the analysis of the operation risks of the unit-system power distribution network, and obtaining a model and an operation mode for a power distribution network in a power supply logic unit; quantitatively estimating the occurrence probability and severity of each risk factor based on a risk matrix, and constructing an operation risk estimation index system of the unit-system power distribution network; and finally carrying out the risk rating of the calculated grid risk estimation indexes after the analysis of the power distribution network risks of each logic unit. According to the invention, the method facilitates the automatic recognition of weak links of a power distribution network in a unit grid, can achieve the advanced prevention of the bigger risk items, reduces the damages to the unit-system power distribution network, and improves the power supply reliability for a user.

The invention discloses an emergency guarantee optimization design method for road network key nodes, and relates to the technical field of urban road network emergency guarantee. The method comprises the following steps: respectively constructing importance evaluation index systems of road network nodes in a normal state and after an earthquake; combining a road network node importance evaluation index system in a normal state to obtain a road network node importance grade; combining a post-earthquake road network node importance evaluation index system to obtain a road network node importance grade; combining road network node importance grades in a normal state and after an earthquake, and adopting a risk matrix method to obtain comprehensive importance grades of nodes in the urban road network; and designing an optimization solution process of the model by adopting a genetic algorithm, and optimally selecting an optimal emergency material storage point position. The method can be used for studying the site selection of the emergency resource reserve points in the urban road network area, optimizing the spatial distribution of the post-disaster emergency rescue reserve points, and improving the post-disaster road emergency rescue and guarantee capability.

The invention discloses an auxiliary screening method and system for suspicious transaction cases. The method comprises the following steps of extracting the clue data of the transaction case to be processed, analyzing the overall situation of the transaction case to be processed, analyzing the fund flow direction, analyzing the user risk and the transaction risk, and obtaining the doubtful data;determining the risk nature score of the transaction cases to be processed; calculating the cumulative amount of the transaction cases to be processed; based on the risk matrix method, evaluating therisk level of suspicious transaction cases according to the above indexes. The system includes a clue data extraction module, a transaction case analysis module, a risk nature determination module, acumulative amount calculation module and a suspicious degree determination module. The method and the system of the invention realize the intelligent and automatic screening of suspicious transactioncases, are not influenced by the subjective factors of the staff, greatly reduce the input of manpower and material resources, and have the outstanding advantages of high accuracy, strong objectivity,high efficiency, intelligence, comprehensiveness, tracing and the like.

The invention relates to a network equipment risk assessment method, and the method comprises the steps: enabling risk controllability to serve as a third dimension attribute of assessment on the basis of a two-dimensional risk matrix, wherein the risk controllability is used for describing the risk control difficulty; enabling the risk importance to be used for completely describing the risk size, wherein the function relation between the risk importance and the probability, loss and controllability is expressed by a risk function; expressing the risk importance degrees of three attributes through indexes in a risk function expression; and extending the input of the risk matrix to an infinite series from a finite series. The method irons out the defects of a two-dimensional risk matrix during risk assessment, increases the attribute dimensions of risks from a risk control angle, and enables the assessment to be more reasonable. The series of an input variable approaches to infinite, thereby enabling an input value to be precise. The method determines a specific risk assessment function, and obtains a unique risk ordering result according to the risk importance, effectively guides the risk control practice, and is higher in universality.

The invention discloses an urban traffic accident risk prediction method based on a ConvLSTM. The method specifically comprises the following steps: carrying out space grid division on a predicted city; performing statistics on historical traffic accident data according to the same time interval and mapping the historical traffic accident data to a grid to generate a risk matrix changing along with time; dividing the risk matrix sequence into a continuous branch and a periodic branch according to the characteristics of continuity and periodicity of the occurrence of the traffic accident in time; extracting features of external data such as weather, holidays and festivals of the city and quantifying the features, and constructing an external feature vector; and establishing a ConvLSTM-based deep learning model to predict the traffic accident risk of each grid region of the city. According to the invention, modeling is carried out from two aspects of continuity and periodicity of traffic accidents, the ConvLSTM is utilized to extract the time features and the space features of the traffic accident data at the same time, and the external environment features are further fused, so that the accuracy of the prediction result is improved, and the method has certain guiding significance for traffic management and accident early warning.

The invention provides a blocking net working state monitoring and early warning method in combination of computational mechanics and field monitoring, which belongs to the technical field of blockingnet working state monitoring. Through port engineering design standards, various loads in the blocking net working environment are classified, various load applied to the blocking net are converted to a main rope of the blocking net. Through the computational mechanics method, the main rope of the blocking net after load conversion is subjected to iterative solution, geometric constraint conditions of the main rope of the blocking net are introduced, the tensioning shape of the main rope of the blocking net under effects of various single environment loads or a combined environment load of the blocking net can be solved and the pulling force at a concerned place is solved. Historical monitoring data of each section of the blocking net are selected for comparison and analysis, the workingstrength limit of the blocking net system under effects of various loads is determined, the blocking net system working reliability safety grade is divided, the alarming value and the risk matrix of each section of the blocking net are determined, early warning on the blocking net working state is realized, and a basis is provided for reasonable maintenance on the blocking net.

The invention provides a regional safety risk analysis method and system based on a combined model. The regional safety risk analysis method comprises the steps of: integrating various types of risk impact factors of a target region according to the to-be-analyzed target region, and determining a proper risk index system based on the selected risk impact factors of all levels; screening out main risk indexes in the risk index system by utilizing an improved hierarchical principal component analysis method, and calculating a comprehensive risk index of the target region based on a combined model of a three-dimensional risk matrix and a deep self-encoding network; and dividing risk levels of the target region, and drawing a comprehensive risk level thermodynamic diagram of the target regionto realize visualization of regional safety risks. The regional safety risk analysis method can be applied to urban public safety risk analysis, border area and hidden area risk analysis and prediction and the like. The regional safety risk analysis method can provide effective technical support for effectively preventing and solving the potential safety hazards in the aspects of environmental pollution, transportation, power transmission safety, resource allocation of medical treatment and public health, tourism drainage and the like in the region.

The invention discloses an implementation method for identification of a dangerous scene of LNG storage tank leakage. The method includes presetting accident occurrence possibility values and consequence seriousness values of LNG storage tank leakage, determining a risk matrix according to products of the accident occurrence possibility values and consequence seriousness values, and correspondingly obtaining risk levels corresponding to a plurality of products in the risk matrix; obtaining an accident occurrence possibility actual value and consequence seriousness actual value of LNG storage tank leakage, and obtaining a product of the accident occurrence possibility actual value and consequence seriousness actual value; and obtaining an actual risk level corresponding to the product of the accident occurrence possibility actual value and consequence seriousness actual value according to the risk matrix. In the implementation method for identification of the dangerous scene of LNG storage tank leakage, the risk level of each accident is accurately obtained through screening, and thus corresponding control measures can be accurately guided to be taken according to the risk level of the accident.