57results about How to "Accurate risk assessment" patented technology

A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust / fraud score associated with the transaction request.

A system for providing an analysis of use in managing risk, the system including: a knowledge base, for maintaining generic risk records each including a plurality of different fields; a data store of profiles, for maintaining profile risk records associated with a particular profile, each profile risk record including the same plurality of fields as a generic risk record; and a risk processor, for updating generic risk records based on profile risk records in the data store of profiles. The knowledge base includes generic risk records with field values that can be refined over time so as to be useful in providing a more accurate risk assessment in any particular profile. Some of the risk record fields are measuring fields input by the user, and some are calculated fields calculated by the system, and the system allows different modes of analysis in which the fields that are the measuring fields differ. Also, in some applications, the system can be used in different modes of use, and only some fields, depending on the mode of use, are required. In some such applications, in one mode of use for example, an inherent risk impact cost is aggregated over an inherent cost of each consequence of the risk. A scripting facility is also sometimes provided for enabling a user to create a script directing how a risk management process is to be performed, the script indicating steps that can be used in performing risk analysis in any profile.

The invention discloses construction of a chronic disease risk assessment hyperbolic model and a disease predication system applying the chronic disease risk assessment hyperbolic model. A Shandong multi-center health management longitudinal observation queue is constructed according to longitudinal health management data of more than 20 health management centers in Shandong province to study the actions of heredity, environment, individual life style, health intervention factors and the like on the processes of outbreak, development and lapse of a major chronic disease, the risk assessment hyperbolic model suitable for various chronic diseases for health examination people of Shandong province and the disease predication system are established, and the scientific evidences are provided for the health intervention of the chronic diseases.

The invention discloses a micro-expression loan control method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining image information and voice information of a loan when the loan answers a preset question, the image information comprising a face image and a limb action image of the loan; Analyzing the integrity of the loan according to the image information and the voice information; Obtaining historical behavior data of the loan through the face image; And evaluating the credit investigation value of the loan according to the credit degree of theloan and the historical behavior data. According to the method, the truth degree of the loan when the loan answers a sensitive question is analyzed through the facial expressions, the limb actions and the sound, and the loan risk assessment is comprehensively carried out in combination with the historical behavior data of the loan, so that the risk assessment is more accurate. The historical behavior data is from a big data network in butt joint with the test system, and the acquired paths are diverse and large in data volume, so that the credit investigation value of a loan can be judged more accurately, and the working personnel can be assisted in making accurate loan judgment.

The invention provides a safety risk assessment system and method, wherein the system comprises a mobile platform docking the subscriber terminal, a platform of Internet of things docking the data acquisition equipment in the target enterprise, and a basic platform and a safety risk model library; the platform of Internet of things is used for receiving the safety production characteristic data of the target enterprise, transmitting the safety production characteristic data to the basic platform; the basic platform is used for taking the safety risk assessment model corresponding to the safety production characteristic data from the preset safety risk model library, implementing online diagnosis and dynamic analysis for the safety production characteristic data through the safety risk assessment model, and generating the visual risk assessment report; sending the visual risk assessment report to the mobile platform; the mobile platform is used for displaying visual risk assessment report to the subscriber terminal corresponding to the target enterprise. The safety risk assessment system and method can accurately assess the enterprise risk, and then improve underwrite quality and enterprise risk management capability.

The invention relates to the field of network information security, and aims to provide a user risk assessment and analysis method based on a multi-dimensional behavior model. The user risk assessmentand analysis method based on the multi-dimensional behavior model can evaluate the user risk of an application with a log. Users are acquired by a product log; behavior features of the users are searched; behavior data form sample data; a cluster of normal behaviors is obtained by birch; lastly, normal behavior probability distribution of the user is obtained through a mixed Gauss model; and thenBayesian linear regression is adopted to obtain a linear model capable of accurately generalizing normal behaviors of the users. Through adoption of the method, risk assessment can be performed on online user states accurately, efficiently and intelligently.

A method for providing a preliminary diagnosis of skin cancer, more specifically a screening risk assessment of pigmented lesions receiving digital photographs of skin abnormalities from a plurality of consumers at a server, receiving medical information related to each of the plurality of consumers at the server, assigning an identification to at least one of the consumers and the digital photographs, reviewing the digital photographs and categorizing the digital photographs into at least three categories so as to define category information, the at least three categories including a first category of a first risk, a second category of risk lower than the first category and a third category of insufficient photograph quality, and providing the category information as a function of the identification. The digital photographs may be of pigmented skin lesions and may be clinical photographs or may utilize the optical technique of epiluminescence microscopy (ELM) to visualize pigmented or capillary structure below the skin surface that are not visible to the naked eye.

A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust / fraud score associated with the transaction request.

The invention provides a risk assessment method of urban gas pipeline based on a 'five-scale method', belonging to the pipeline risk assessment category. On the basis of summarizing the main factors of pipeline leakage failure, the intermediate events and basic events of pipeline failure are established by fault tree method, and the main factors are further analyzed and identified. Then the fuzzycomprehensive evaluation method is used to evaluate the pipeline risk, in which the weight is calculated by AHP, the traditional 'nine-scale method' is improved to 'five-scale method', and the fuzzy comprehensive relationship matrix is improved, finally the risk level of urban gas pipeline accident is obtained. The improved fuzzy comprehensive rating method not only can fully reflect the objectivity of evaluation factors and evaluation process, but also is more practical and reliable than the traditional fault tree method and the single fuzzy comprehensive evaluation method, and solves the problem that the factors in the risk assessment are not objective enough, so as to achieve a more accurate risk assessment of urban gas pipelines.

The invention relates to a method and a system for risk evaluation based on security dependence relation, in particular to a method and a system which are applied to network security of the computer. The hardware used in the method comprises an internet; the method comprises the following steps: the risk probability of a connection event between dependency nodes is determined according to all the factors of the visit or service type; a security dependence tree is established by taking evaluated nodes as the root; the risk probability of the evaluated node is calculated; the calculated risk probability of the evaluated nodes is multiplied with the degree of significance of the evaluated nodes to obtain the risk of the evaluated nodes; and the invention establishes the security dependence relation between the evaluated nodes and other nodes by establishing the security dependence tree taking the evaluated nodes as the root and introduces a risk propagation mechanism into the risk evaluation. The invention not only considers the direct risk, but also considers the indirect risk caused by the dependence relation, therefore, the risk evaluation is more accurate and more objective.

The invention provides a fire control risk assessment method based on a single building. The fire control risk assessment method comprises the following steps: establishing a high-rise building fire risk assessment index system; adopting a fuzzy analytic hierarchy process to form a multi-level analysis structure model according to the mutual relation and the membership relation of the first-levelindexes and the second-level indexes and different levels of aggregation and combination; performing quantitative processing according to the relative importance of the secondary indexes scored to each level by experts so as to determine weight coefficients; constructing a judgment matrix A; calculating the weight of each index according to the judgment matrix A; and carrying out consistency checkon the judgment matrix A, calculating a consistency ratio, giving an evaluation result when the consistency ratio is smaller than 0.1, and otherwise, correcting the judgment matrix A again. Accordingto the fire control risk assessment method, under the condition of fully considering various effective resources, the risk assessment of the building is more objective, fair and accurate, and meanwhile, the urban building control and risk resistance capabilities are improved by utilizing a technical means.

The invention describes a risk assessment system based on situation awareness alarm, and the system comprises: an asset assessment module which carries out the recognition of the types of target assets of a target information system, carries out the assessment and assignment of the target assets, and obtains the value score of the target assets; a vulnerability assessment module which is used forchecking vulnerabilities and configuration items involved in target assets of the target information system to obtain vulnerability risk values and configuration item vulnerability values so as to obtain vulnerability scores; a threat evaluation module which is used for identifying and evaluating the threat faced by the target asset based on the situation awareness alarm so as to obtain a threat severity score; and a risk assessment module which is used for obtaining a risk value of the target asset based on the value score, the vulnerability score and the threat severity score so as to obtaina risk level of the target asset of the target information system. Therefore, efficient and accurate risk assessment can be performed on the target assets of the target information system.

The invention discloses an in-vehicle high-temperature protection system and a method thereof. The in-vehicle high-temperature protection system mainly consists of a vehicle state detection system, anin-vehicle personnel detection system, a high-temperature protection controller, an independent power supply, a high-temperature alarm system and a high-temperature emergency protection system. The in-vehicle high-temperature protection system is characterized in that relevant parameters of an in-vehicle environment are detected through the vehicle state detection system, whether personnel existsin a vehicle is detected through the in-vehicle personnel detection system, energy supply uncontrolled by a power switch of the vehicle is provided through the independent power supply, logical operation is carried out on a detection result through the high-temperature protection controller, identified crises are alarmed through the high-temperature alarm system, and emergency protection is carried out on the in-vehicle personnel through the high-temperature emergency protection system. The detection accuracy of a sensor is improved by adopting multi-mode redundancy detection, and potential danger when the in-vehicle personnel is stranded can be warned and eliminated reliably. When the condition that the in-vehicle personnel is stranded occurs really, the life safety of the in-vehicle personnel can be effectively protected, and meanwhile, the safety of in-vehicle property is ensured.

The invention provides a power transformer time-varying outage risk assessment method considering weather factors. The method comprises the following steps: S1, establishing a comprehensive meteorological risk index system influencing the operation state of the power transformer; S2, according to the aging failure probability and accidental failure probability of the power transformer, obtaining the comprehensive time-varying operation failure probability of the power transformer; S3,using synthetic meteorological risk index to modify the synthetic time-varying operation failure probability ofthe power transformer, and obtaining the time-varying outage risk assessment model of the power transformer considering weather factors. According to the power transformer time-varying outage risk assessment method of the present invention, the meteorological factors which have great influence on the stable operation of transformer are quantified, and the fault outage model of transformer considering normal aging and accidental fault is optimized by using the synthesized meteorological risk index, and the time-varying outage risk model considering weather factors is obtained to make the riskassessment of transformer more accurate.

The invention discloses a user risk classification method, apparatus, medium based on machine learning, belonging to the technical field of artificial intelligence. The method comprises the followingsteps: firstly, static characteristic data of a user which is not combined with network behavior and dynamic characteristic data which is combined with network behavior are obtained; Then, inputting the above two kinds of feature data into a pre-trained stochastic forest model after the target feature data is removed and the user risk level is output. Secondly, inputting the feature data after removing the feature data from the above two feature data and the user risk grade output from the stochastic forest model into the pre-trained logistic regression model and then the user risk score is outputted. Finally, classifying users according to the user risk rating output by the stochastic forest model and the user risk rating output by the logistic regression model. The invention classifies the user risk by using the user static characteristic and the dynamic characteristic data through the machine learning model, and effectively improves the accuracy of the risk classification.

The invention discloses an operation safety evaluation method of a subway station. The method comprises that practical values of evaluation indexes are determined, the weight coefficients of differentlevels of indexes are determined, and the risk level, index classic domain, index sectional field and matter element to be evaluated of each level of index are determined, the relational degree and the integrated relational degree of each level of index are calculated, analytical evaluation is carried out that the risk evaluation level of each level is index is determined, an operation security evaluation index system of the subway station is construction from analysis on operation security risk factors of the subway station, and an integrated weight determining method is used to determine the index weight of the operation security evaluation index system of the subway station. The extension matter element based operational security risk evaluation method is provided, the operation security risk can be evaluated in high efficiency, and technical support is provided for improvement of the operation security and reliability of the subway station.

The invention discloses a sudden water pollution event risk evaluation method for a water conveyance project. The method comprises the following steps: to begin with, with characteristics of the water conveyance project and characteristics of sudden water pollution events and influence thereof being taken into comprehensive consideration, and based on a DPSIR module, an index system is established, and risk evaluation indexes covering driving force, pressure, state, influence and response five aspects, index grading standard and an index calculation model are provided; a risk evaluation index weight determination method based on an analytic hierarchy process is provided; and finally, overall influence of the sudden water pollution event on the water conveyance project and risk grade are determined through a comprehensive evaluation method. The method and the risk grade evaluation result can effectively judge the influence degree of the sudden water pollution events on the water conveyance project; a more accurate risk evaluation system is established; and the method can provide decision information support for making scientific and effective early warning and preplanning of management personnel of the water conveyance project, and has wide practical prospect.

The invention discloses a risk assessment method and device, a storage medium and an electronic device. The method comprises the steps that a knowledge graph related to a target object is acquired, all data of the target object serve as entity data or serve as attribute values of the entity data to be recorded on the knowledge graph, and the knowledge graph further records the relation between thetarget object and other objects; a corresponding evaluation node is determined from the knowledge graph based on the target object risk evaluation index, and a weight value of the evaluation node isdetermined; and a risk assessment value of the target object is determined according to a risk assessment algorithm, a predetermined data value corresponding to the assessment node and the weight value of the assessment node pair. The technical effects of obtaining more comprehensive related information from the knowledge graph and carrying out accurate risk assessment on the target object are achieved, and the technical problem that in the prior art, the risk assessment accuracy of the target object is low due to the fact that the related information of the target object cannot be comprehensively obtained is solved.

The invention provides an aircraft assembling process risk evaluation method, which comprises six major steps that 1, a three-dimensional digital model corresponding to an assembly body, a tooling and an assembling scene is imported by using DELMIA, a corresponding process file is created, and integral scheme influence factors and hierarchy diagrams are obtained; 2, the transportation risk of the assembling scheme is subjected to influence factor and hierarchy analysis to obtain the influence factors and the hierarchy diagrams, and a hierarchy analysis method is used for analyzing the influence weight of each influence factor on the risk generating possibility; 3, the field risk influence factor of the assembling scheme and the hierarchy are analyzed to obtain the influence factors and the hierarchy diagrams; 4, the whole assembling simulation flow process is created in the corresponding process file of the DELMIA software according to the given assembling scheme; 5 the weight coefficient of the influence factor after the integral assembly scheme risk generation is obtained by using the hierarchy analysis method; 6, the second index assembling scheme risk degree overlap of the integral evaluation of the assembling scheme is calculated.

The invention relates to a distribution network risk assessment method comprising a distributed photovoltaic power source, the method comprising the following steps: 1) obtaining distribution networkcomponent parameters; 2) establishing a photovoltaic power generation stochastic model base on that component parameters of the distribution network; 3) carrying out sampling to obtain distributed power output based on that photovoltaic power generation stochastic model; 4) taking the sampled distributed power output as a negative load node to carry out power flow calculation, and obtaining powerflow results under different distributed power output; 5) according to the probability distribution of the power flow result, calculating the value of the over-limit risk index of the distribution network, and obtaining the distribution network risk assessment result. Compare with the prior art, the method considers the randomness of the distributed photovoltaic generation and the load, and can quickly and accurately carry out the risk assessment of the distribution network.

The embodiment of the invention provides a method for multi-party joint training of a risk assessment model for an IoT machine. The multiple parties comprise a machine end computing node, a merchant end computing node and a payment platform computing node which are used for respectively storing machine privacy data of a plurality of machines, binding merchant privacy data of a plurality of merchants of the plurality of machines and payment privacy data related to the plurality of merchants, and respectively maintaining partial parameters in the risk assessment model. In addition, the payment platform computing node also stores a machine risk tag. According to the method, a machine tool end computing node and a merchant end computing node determine an intermediate computing result based onstored private data and maintained partial parameters, and a payment platform computing node computes the intermediate computing result based on the stored private data, the maintained partial parameters and labels. And then, the three parties provide respective calculated intermediate calculation results based on a secure multi-party calculation MPC technology, determine training loss, and then respectively adjust partial maintained model parameters.

The embodiment of the invention discloses a scene-based user credit granting method and device, a server and a storage medium. The method comprises the steps of marking a scene where a user is locatedwhen the user enters a credit granting process, and determining a scene identifier; determining and displaying a user information filling interface corresponding to the scene according to the scene identifier; obtaining user information input by a user in the user information filling interface, and determining a risk assessment strategy packet corresponding to the scene identifier; And performingrisk assessment on the user information through the risk assessment strategy packet to complete a credit granting process of the user. According to the embodiment of the invention, the problem that the operation and maintenance cost is high due to the fact that multiple credit granting process architectures are established for clients in different scenes is solved; According to the invention, a personalized credit granting scheme can be provided for clients of different channels under the architecture of one credit granting process, the user risk can be accurately evaluated, and the maintenance cost of the credit granting process can be reduced.

The invention discloses a risk evaluation method based on multi-variety electricity transaction, which comprises the following steps of: firstly, acquiring transaction basic data of various markets; then on the basis of mean-variance risk evaluation, calculating VaR(Value at Risk) values under the electricity transaction by adopting a VaR model method; and finally, comparing the VaR values under the electricity transaction to a transaction portfolio expected return rate, when the transaction portfolio expected return rate is greater than or equal to the VaR values under the electricity transaction, obtaining a result that transaction portfolios are all effective multi-variety power transaction portfolios, and when the transaction portfolio expected return rate is greater than the VaR valueunder the electricity transaction, obtaining a result that the transaction portfolios are optimal transaction portfolios. According to the invention, transaction risks of different electricity markettransaction goods are researched, and on the basis of a mean-variance model of multi-variety electricity transaction portfolios, a VaR constraint is added, so that the transaction risk of a generation company is comprehensively considered.

The embodiment of the invention provides a storage medium, a server and a brushing scalping behavior identification method and device, and relates to the technical field of electronics. The method comprises: obtaining driver information and passenger information on an order; inquiring whether a driver user corresponding to the driver information and a passenger user corresponding to the passengerinformation have an association relationship or not in a plurality of preset user groups according to the driver information and the passenger information; and if the driver user and the passenger user have the association relationship, sending the order to a risk control system so as to judge whether an order swiping behavior exists between the driver user and the passenger user or not through the risk control system. According to the order swiping behavior recognition method, whether the order swiping behavior exists between the driver user and the passenger user on the order or not can be judged more accurately through the user groups.

The invention discloses a fan site selection risk assessment method, system and device and a storage medium, and belongs to the field of wind power plant site selection. Direct risk information and indirect risk information near a fan are obtained through fan information and point coordinates, meanwhile, the direct risk information is subdivided into point risks and community risks, and the indirect risk information comprises danger transfer functions of high-risk article types near the fan. Compared with an existing fan site selection method, the method can accurately evaluate the risk near the fan, has extremely high operability, is suitable for fans installed in different topographic characteristics, and can systematically evaluate the influence of fan site selection points on the human life safety of the accessories. The method helps a wind power plant developer to select a safe wind power plant site, reduces the possibility of wind power plant safety accidents, and provides a basis for reducing the fan site selection risk.

The invention belongs to the technical field of communication, and particularly relates to a network element equipment performance detection method and device and a computer readable medium. The method comprises the steps that historical communication data of network element equipment is acquired, a risk source is determined according to the historical communication data, and the risk source is a factor influencing the performance of the network element equipment; constructing a risk assessment index system based on the risk source; optimizing a weight and a threshold value in the risk assessment index system to obtain a risk assessment model; inputting the risk assessment index of the network element equipment into the risk assessment model to obtain a risk assessment value; and determining the risk level of the network element equipment according to the risk assessment value. Therefore, the risk assessment index system is constructed through the risk source, and the weight and the threshold value in the risk assessment index system are optimized, so that the risk assessment model which is more consistent with the actual situation can be constructed, the predicted risk assessment value is more accurate, and the risk assessment result is more reliable.

The invention provides an online public opinion risk identification method, which comprises the steps of inputting each piece of text information obtained from a monitoring website into a first classification model, and outputting a first classification result used for representing that the text information is related or unrelated to a target object; according to the first classification result, inputting each piece of target text information related to the target object into a topic model, and outputting topic information expressed by each piece of target text information; and inputting eachpiece of target text information and the theme information of the target text information into a second classification model, and outputting a second classification result used for representing risk information of the target text information. The invention further provides a construction method of the online public opinion risk identification model, an online public opinion risk identification device, a construction device of the online public opinion risk identification model, electronic equipment and a computer readable storage medium.

The invention relates to the technical field of Internet of Things warehouse intelligent management. The invention discloses a pledge subject matter intelligent management monitoring system and methodbased on an Internet of Things block chain. The system comprises a warehouse which is provided with a video monitoring device and is used for storing pledge subject matters, a data monitoring modulearranged at a key asset point of a pledge party, at least three supervision computers / hand-held devices respectively used by the pledge party, a pledgee party and a third supervision party, and a server in data connection with the video monitoring device, the data monitoring module and the supervision computers / hand-held devices and connected to the Internet. The management monitoring method comprises a pledge input step, a pledge supervision step, a pledge supervision step and a supervision monitoring step. The supervising computer / handheld devices for visually accessing monitoring data are provided for the pledge party, the pledgee party and the third supervising party participating in pledge items, and a secret key and key information are uploaded to a block chain to be stored, so thatthe non-modifiability of the data and the traceability of a data source and an access record are ensured.

The invention discloses a distribution network risk assessment method fusing main network fault analysis, and relates to the field of electric power operation and maintenance. Traditional power distribution network risk assessment does not consider the influence of a main network on a power distribution network, risk assessment is carried out only from the perspective of the power distribution network, and assessment is not comprehensive. The method comprises the following steps: analyzing a main distribution network joint network; associating a feeder line outlet switch of a distribution network with a low-voltage load of a main network; performing topology analysis, state estimation and load flow calculation; establishing a main network spare power automatic switching model according tothe main network frame; analyzing an anticipated fault of the main network; deriving a main network fault consequence to a distribution network fault consequence; mapping the power-losing low-voltageload of the main network to a distribution network feeder line by utilizing a result of main and distribution network joint network analysis, and then finding out power-losing distribution network distribution transform caused by a main network fault; fusing the main network into an original risk assessment algorithm, considering the influence of the main network on the distribution network, and performing cooperative risk assessment calculation by combining the main network and the distribution network. An evaluation result is more comprehensive, and the evaluation accuracy is effectively improved.