38results about How to "Implement risk assessment" patented technology

The invention specifically discloses a power distribution network simulation research and analysis system and method based on network-wide data. The system comprises a three-layer structure: a data layer, a platform layer and an application layer. The data layer mainly collects basic and operation data of a distribution network; the platform layer mainly gathers and summarizes various data of the distribution network and provides corresponding services to the application layer; and the application layer mainly, under the support of the platform layer and based on network-wide equipment and operation data, carries out a series of correlated application researches related to the power distribution network on scientific modeling, load flow calculation, fault analysis, closed-loop calculation, network reconstruction and self-healing simulation modules of the power distribution network comprising a lot of distributed generation, so as to realize comprehensive digital simulation of the power distribution network, and to provide decision reference for the construction and operation of the power distribution network.

The invention relates to a website risk index calculation method based on a massive Web log, comprising a collection unit supporting the massive Web log, a safety information analysis unit and a website risk assessment unit arranged on a Web server; the collection unit, the analysis unit and the evaluation unit are sequentially connected. The collecting unit monitors the log file in real time, extracts the Web log generated in real time according to a certain time interval, and pretreats the generated fields. The invention is based on massive Web log analysis, can catch Web attack events in real time, combines the CVSS value with the vulnerability of the website and the harm degree of the attack, carries out the website risk assessment, and ensures the accuracy, real-time and predictability of the assessment index.

The invention discloses a risk assessment method for a wind power-based AC/DC hybrid system. The risk assessment method comprises the following steps: 1, according to the historical statistic wind speed data of a wind farm, modeling the wind speed distribution of the wind farm by using a Weibull distribution two-parameter curve; 2, according to a probability distribution model of the wind speed ofthe wind farm, sampling the wind speed by a non-sequential Monte Carlo method; 3, establishing a wind speed and wind turbine output model of the wind farm, and acquiring corresponding wind turbine output according to the wind speed of the wind farm, which is sampled by the non-sequential Monte Carlo method; 4, performing state analysis on a determined system state, and solving the tidal current of the hybrid system by a unified AC/DC system iteration method; 5, calculating a variance coefficient, judging whether a convergence condition of the non-sequential Monte Carlo method is met, if the convergence condition of the non-sequential Monte Carlo method is not met, returning to the step 2, and if the convergence condition of the non-sequential Monte Carlo method is met, calculating a comprehensive risk value. The risk assessment method is reliable, easy to implement and easy to popularize.

The invention discloses a nonlinear gait dynamics discrimination method for Parkinson gait risk assessment. The method proposes a multi-dimensional feature discriminant diagram based on nonlinear dynamic characteristics for gait risk assessment of Parkinson patients, and in combination with a support vector machine, a non-linear dynamics feature and a graphical display method, makes 5-dimensionalnon-linear dynamic features graphically represented in a two-dimensional plane. The method is applicable to gait risk assessment in Parkinson patients. In a normal population, if multiple indicators of the nonlinear gait dynamics discriminant diagram exceed the cut-off point of the discriminant diagram, it indicates that the probability of having the disease or the severity of the disease is greatly increased, and it is necessary to cause individual's own close concern and further examination by doctors.

The invention relates to a method for analyzing safety of a power system, in particular to a method for analyzing risks of provincial and local cooperated closing-loop operation. The method comprises the following steps: (1) arranging a closing-loop equipment; (2) searching a closing-loop path; (3) checking the closing-loop path; (4) generating and splicing a CIM (common information model) model at the local side, and transmitting the model to the provincial side; (5) obtaining and splicing the CIM model at the provincial side; (6) checking and generating an analyzing model at the provincial side; and (7) analyzing the risks of the closing-loop operation at the provincial side. With the adoption of the risk analyzing method provided by the invention, the provincial and local integrated cooperation calculating services can be provided according to the closing-loop needs dispatched at local, the integrated risk analysis results can be given for dispatching operators to reference, and the safety of the closing-loop operation can be guaranteed.

The invention discloses a method for evaluating the risk grade of an operation mode of an urban power distribution network. The method comprises the following steps: inputting all historical data according to dimensionalities so as to establish a risk evaluation database; performing correlation analysis among all the historical data in different dimensionalities in the risk evaluation database so as to generate a correlation coefficient table; and evaluating the risk grade according to the risk evaluation database and the correlation coefficient table. Compared with the prior art, the database including multi-dimensional historical data is established in the method disclosed by the invention; furthermore, correlation analysis is carried out in combination with the multi-dimensional historical data; finally, the risk grade evaluation is carried out according to the database and the correlation analysis; the operation risk evaluation of the power distribution network is realized due to multiple comprehensive factors (the multi-dimensional historical data include fault information and other influence factors; and thus, the evaluation result is more accurate. The invention further discloses a system for evaluating the risk grade of the operation mode of the urban power distribution network.

The invention discloses a multi-dimensional power distribution network system operation risk level assessment system and method. The system comprises an establishment module, an analysis module and anassessment module. The establishment module is used for inputting all historical data according to dimensions to establish a risk assessment database; The analysis module is used for carrying out correlation analysis on all historical data with different dimensions in the risk assessment database to generate a correlation coefficient table; And the evaluation module is used for evaluating the risk level according to the risk evaluation database and the correlation coefficient table. The method is executed through the system, a risk assessment database is established according to all historical data of dimensions, correlation analysis is conducted on all the historical data of different dimensions to generate a correlation coefficient table, and finally the risk level is assessed accordingto the risk assessment database and the correlation coefficient table. According to the system and the method, factors in multiple aspects are integrated, the risk assessment of the operation of thepower distribution network is realized, and the assessment result is more accurate.

The invention discloses a data security intelligent reinforcement system. The system comprises a sensitive data discovery module, a database performance auditing module, a database risk assessment module, a database auditing module, a database firewall module and a data transparent encryption module. The invention has the beneficial effects that multi-level security protection is realized, and selectable database security protection functions including sensitive data discovery, performance monitoring, risk assessment, coarse-grained auditing, fine-grained auditing, firewall and sensitive content encryption are provided. The security protection capability of the modules is gradually enhanced, and the controllability of security evaluation, data activity visualization and data security management is gradually realized. The performance is high: the continuous SQL processing capability of the system can easily reach 100,000 per second, and the minimum storage capability of each TB hard disk can reach 3 billion, which is far higher than that of competitive products at home and abroad. The comprehensive auditing range is achieved: the auditing range of the system covers all possible data access ways, and whether the data access ways are internal or external, the data access ways are direct or indirect.

The invention discloses a security risk assessment method for assets in a network based on the game theory. An evaluation model of gaming on each vulnerability by a system administrator and an attacker is constructed through the game theory. A system administrator carries out concerned and ignored selection on the vulnerabilities. The attacker carries out attack or non-attack selection on the vulnerability. Income conditions of the two parties are analyzed. A system administrator and an attacker cannot select one action to ensure that games are balanced, so that the two parties need to use a mixed strategy to maximize income, the strategy of the system administrator and the attacker when the games are balanced is deduced according to a game model, and then the risk degree of assets is obtained. The method has the advantages that the risk of the assets in the network can be analyzed by combining the vulnerability library information, and support can be provided for overall network security risk assessment.

The invention discloses a data clustering identification method and device, a computer system and a readable storage medium, and the method is based on artificial intelligence, and comprises the following steps: setting one case in a case library as a reference case, and setting other cases, except the reference case, in the case library as contrast cases; sequentially judging whether an association relationship exists between the reference case and each contrast case or not, and making a one-dimensional vector; sequentially obtaining one-dimensional vectors of all cases in the case library, and combining the one-dimensional vectors of all cases to obtain an adjacent matrix; calculating an adjacency matrix to obtain a dense vector; calculating a dense vector so as to cluster all cases in the case library and output a clustering result; and calculating a risk value of the case according to the insurance policy information, the automobile features and the case reporter features of the case in the clustering result. According to the method, the high-risk cases are obtained by analyzing the cases in the cluster below the clustering threshold, so that practitioners can perform key analysis on the high-risk cases to identify suspected fraudulent cases which are not compensated or reported in the high-risk cases.

The invention provides an entry-exit dangerous cargo risk assessment method and system, and a readable storage medium. The entry-exit dangerous cargo risk assessment method comprises the following steps: obtaining identification information of a to-be-assessed target cargo; querying type information of the target goods in a database according to the identification information; obtaining feature information of a corresponding type of the target cargo according to the type information; and performing risk assessment on the target cargo according to the feature information to obtain a corresponding assessment score. Therefore, risk assessment of different types of dangerous goods is realized, extraction of different types of feature information is carried out on different types of dangerous goods, and accuracy of risk assessment of dangerous goods is realized.

The invention provides a steel catenary riser risk assessment method and device based on information fusion and a medium, and the method comprises the steps: building an identification frame in advance according to a fault mode of a steel catenary riser, and installing data sensors at fault collection points respectively to collect fault signals; then, multi-sensor data is preprocessed, and a corresponding basic probability distribution function is generated; a dynamic reliability index of multiple sensors is obtained through construction of an intuitionistic fuzzy multi-attribute decision model, on this basis, in a multi-evidence body information fusion algorithm of an improved mixed similar reasoning theory model (mixed DSm model), the conflict of evidences is reduced through solved focal element credibility, and the reliability of the multi-evidence body information fusion algorithm is improved. And the risk assessment of the steel catenary riser is realized according to the information fusion result. According to the method, on the basis of the sensor data condition of the existing riser monitoring system, high-efficiency, high-recognition-rate and high-adaptability risk assessment of the steel catenary riser is realized.

The invention discloses a risk evaluation method for a power grid with wind power based on a three-point type mean value evaluation method, and the method comprises the steps: firstly building a probability density function based on a condition that the wind speed of one region approximately follows the double-parameter Weibull distribution; secondly determining the probability density function of wind power according to the relation between the output power of a wind turbine generator set of a wind power plant and the wind speed; finally determining all evaluation scenes of one power grid with wind power through the three-point type mean value evaluation method, thereby achieving the risk evaluation of the power grid. According to the invention, the method converts a continuous uncertain probability problem of the output power of a blower fan into a certainty mathematic problem of three estimation points, simplifies the uncertainty of risk evaluation, can effectively achieve the calculation of the risk index of the power grid with the wind power, and meets the daily calculation requirements of the power grid.

The invention discloses a real estate class loan business risk assessment method and device, which can be applied to but not limited to the field of big data, and the method comprises the steps: collecting the dynamic attribute information of a real estate mortgage by a real estate class loan business in different time periods; then according to the dynamic attribute information of the real estate mortgage by the real estate type loan business in different time periods and the loan information of the real estate type loan business, generating corresponding parameter values of each risk factor in different time periods; calculating default loss rates of the real estate loan business in different time periods according to the parameter values corresponding to the risk factors in different time periods; and according to the default loss rates of the real estate loan business in different time periods, generating a dynamic risk assessment result of the real estate loan business. According to the method, the dynamic assessment of the real estate loan business default risk of custom configuration risk factors can be supported.

The present invention provides a quantitative analysis method for an influence on grid real-time load control caused by communication failures, and considers a power system and a communication system to be a coupled and interdependent complex system for analysis. The quantitative analysis method based on the influence on grid real-time load control caused by communication failures can make importance assessment on monitoring and control equipment in a grid through the load shedding quantity, and can implement risk assessment on the power communication complex system through statistical analysis on an equipment availability probability. Based on this, by taking potential risks of various communication failures occurrence and consequences thereof into consideration, centralized grid control measures are adjusted in real time to minimize the expanded risk of the grid accident, thereby providing an implementation basis to establish and design a grid online assistant decision-making system for communication risks.