301 results about "Risk indicator" patented technology

A method and apparatus for providing real-time support in interpreting a patient's ECG in order to assess the probability of perioperative cardiovascular risk associated with performing a non-cardiac surgery. The apparatus includes an acquisition unit for acquiring an ECG and a processor for determining whether the ECG has diagnostic statements of risk. From the diagnostic statements of risk, the processor determines the probability of cardiovascular risk associated with the non-cardiac surgery. The probability of cardiovascular risk is displayed on display in the form of an indicator of either major, intermediate, or minor cardiovascular risk.The method includes acquiring a patient's ECG, determining whether the ECG exhibits diagnostic statements of cardiovascular risk, and determining the probability of cardiovascular risk based on the diagnostic statements, and displaying the determined probability of cardiovascular risk.

A system is provided that that allows users to define factors that uniquely affect the security risk of certain events at a certain locale. The system can then change its behavior based on these custom risks and invoke various counter measures when threats are more likely. Accordingly, one embodiment of the invention provides for the use of contextual risk indicators in connection with threat level management.

The invention discloses a security risk assessment method and apparatus. The method comprises determining a vulnerability index of a network element based on an evaluation index of the network element of an electric power communication main trunk circuit, wherein the vulnerability index is used for indicating the probability that the network element is affected by a threat event; determining an importance index of the network element based on the importance of one or more services borne by the network element and the number of one or more services respectively borne by the network element; and determining a security risk index of the network element based on the vulnerability index and importance index of the network element. According to the invention, the problem in the prior art that an electric power communication main trunk circuit system-based integral evaluation mode has difficulty in effectively locating the network element which is easy to have security risks is solved, so that the security risk assessment of the network element in the electric power communication main trunk circuit is realized and the effective locating of the network element which is easy to have security risks is facilitated.

A heads-up speed sensing display and control system for apprising an operator of the risk of operating a vehicle at various speeds has a risk indicator display with a plurality of illuminable elements, such as three different colored LEDs, illuminable in a plurality of patterns, each of the plurality of patterns having a predetermined correlation to vehicle speed, such as green for safe, yellow for caution and red for hazardous. A speed sensor, such as a Hall-effect device is coupled to a driven element of the vehicle, like a speedometer cable, and causes the speed sensor to generate a signal indicative of vehicle speed. A control unit receives the speed signal and selects an illumination pattern to indicate the risk of operation at the speed the vehicle is then traveling. The display may be wired or wireless and be attached to a windshield, face guard or helmet. The display system may be customizable to the operator and the environmental conditions and may be coordinated with a signage system using the same risk indicator conventions. The indicator system may also be used as a governor. In yet another embodiment, GPS data is used in a lookup table to ascertain the speed limit for the operation of the vehicle at any given time and place. The speed limit information is used to inform a governor which reduces vehicle speed to the ascertained limit. The ascertained speed limit may be used to select a risk indicator pattern for the actual operating speed of the device.

A flow indicating system that includes a conduit that contains a substance, wherein the conduit defines a path along which the substance primarily flows and a viewing port attached to the conduit and the viewing port prevents substantially non-ambient atmosphere gases and substances from escaping therefrom and allows visualization of an internal space defined by the viewing port. A flow indicator that is positioned within the conduit so as to be viewed via the viewing port and is positioned so as to not to substantially interfere with a flow of the substance along the path.

A system and method for displaying a patient clinical status indicator. In one embodiment the system includes a plurality of sensors, each sensor measuring a respective patient parameter; a processor in communication with each of the plurality of sensors, and a display in communication with the processor. The processor receives the patient parameters and generates a patient clinical status indicator in response to the plurality of patient parameters. The display displays the patient clinical status indicator. In one embodiment the patient clinical status indicator is a risk indicator. In one embodiment, the method includes the steps of measuring a plurality of patient parameters; generating a patient clinical status indicator in response to the plurality of patient parameters; and displaying the patient clinical status indicator. In another embodiment the step of generating the patient clinical status indicator further uses a plurality of weighing coefficients each associated with a respective patient parameter.

Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and / or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.

A system and method for evaluating the risk of insuring a grower comprises a communications interface for obtaining a geographic area yield (e.g., mean geographic area yield) of a crop for a particular geographic area (e.g., county) for a corresponding time period. A yield monitor or a yield sensor, associated with a ground-based or aerial work vehicle, obtains a benchmark grower yield (e.g., historic grower yield) for a particular grower within the particular geographic area. An analyzer determines a difference between the geographic area yield and the benchmark grower yield (e.g., historic grower yield). An estimator estimates a variability parameter indicative of a variation in forecasted grower yield in the geographic area. A data processor determines a forecasted grower yield, which may deviate from at least one of the geographic area yield (e.g., mean geographic area yield) and the benchmark grower yield, for the corresponding time period based on the difference and the variability parameter. A data processor determines a risk indicator based on the determined forecasted grower yield.

An access control system and method includes a risk index module which computes a risk index for a dimension contributing to risk. A boundary range defined for a parameter representing each risk index such that the parameter above the range is unacceptable, below the range is acceptable and in the range is acceptable with mitigation measures. A mitigation module determines the mitigation measures which reduce the parameter within the range.

A heads-up speed sensing display and control system for apprising an operator of the risk of operating a vehicle at various speeds has a risk indicator display with a plurality of illuminable elements, such as three different colored LEDs, illuminable in a plurality of patterns, each of the plurality of patterns having a predetermined correlation to vehicle speed, such as green for safe, yellow for caution and red for hazardous. A speed sensor, such as a Hall-effect device is coupled to a driven element of the vehicle, like a speedometer cable, and causes the speed sensor to generate a signal indicative of vehicle speed. A control unit receives the speed signal and selects an illumination pattern to indicate the risk of operation at the speed the vehicle is then traveling. The display may be wired or wireless and be attached to a windshield, face guard or helmet. The display system may be customizable to the operator and the environmental conditions and may be coordinated with a signage system using the same risk indicator conventions. The indicator system may also be used as a governor. In yet another embodiment, GPS data is used in a lookup table to ascertain the speed limit for the operation of the vehicle at any given time and place. The speed limit information is used to inform a governor which reduces vehicle speed to the ascertained limit. The ascertained speed limit may be used to select a risk indicator pattern for the actual operating speed of the device.

Diagnostic tests for characterizing an individual's risk of developing or having a cardiovascular disease. In one embodiment the present diagnostic test comprises determining the level of myeloperoxidase (MPO) activity in a bodily sample obtained from the individual or test subject. In another embodiment, the diagnostic test comprises determining the level of MPO mass in a bodily sample obtained from the test subject. In another embodiment, the diagnostic test comprises determining the level of one or more select MPO-generated oxidation products in a bodily sample obtained from the test subject. The select MPO-generated oxidation products are dityrosine, nitrotyrosine, methionine sulphoxide or an MPO-generated lipid peroxidation products. Levels of MPO activity, MPO mass, or the select MPO-generated oxidation product in bodily samples from the test subject are then compared to a predetermined value that is derived from measurements of MPO activity, MPO mass, or the select MPO-generated oxidation product in comparable bodily samples obtained from the general population or a select population of human subjects. Such comparison characterizes the test subject's risk of developing CVD.

The present application relates to a big data analysis-based early warning information push method, an early warning information push device, a computer device and a storage medium. The method includes the following steps that: the risk data of a target customer are acquired; the risk data are quantified, so that a plurality of risk indicators are obtained; the risk indicators are inputted into apreset risk prediction model, so that a first risk score is obtained; a plurality of rule expressions are obtained, the rule expressions are adopted to perform risk prediction on the risk data, so that a second risk score can be obtained; and the first risk score and the second risk score are compared with each other, so that a high score value is obtained; and an early warning prompt is generatedaccording to the high score value, and the early warning prompt is pushed to a monitoring terminal. With the method adopted, the reliability of early warning information can be improved, and the false negative rate of risks can be reduced.

The present application relates to a risk prediction processing method and apparatus based on big data analysis, a computer device and a storage medium. The method comprises the following steps of: obtaining risk data of a target customer, wherein the risk data carries a customer identification; extracting a risk indicator from the risk data; acquiring a risk prediction model, the risk predictionmodel comprising a plurality of risk factors; screening the extracted plurality of risk indicators according to the risk factors; inputting the screened risk indicators into the risk prediction model,and outputting the risk score corresponding to the customer identification. The method can improve the efficiency and accuracy of risk prediction.

The invention relates to an electric power system operation reliability-centered equipment importance evaluation method. The method comprises the following steps of: 1, determining power transmission equipment needing to be evaluated; 2, selecting an element needing to be evaluated; 3, storing system initialization operating environment data; 4, restoring a system initialization operating environment; 5, evaluating an annual electric power system risk; 6, judging whether the number of specified operating times is reached or the calculation precision requirement is met, if the number of specified operating times is reached or the calculation precision requirement is met, entering a step 7, and if the number of specified operating times is not reached or the calculation precision requirement is not met, returning to the step 4; 7, counting system reliability and risk indicators; 8, judging whether all elements needing to be evaluated are evaluated, if all the elements needing to be evaluated are evaluated, entering a step 9, and if all the elements needing to be evaluated are not evaluated, returning to the step 2; and 9, counting element importance indicators, sequencing the element importance indicators, integrating corresponding economic indicators, safety indicators and environment indicators of a system after each equipment is launched, superimposing the economic indicators, the safety indicators and the environment indicators according to certain weight to obtain the corresponding overall indicators of the equipment, and sequencing the overall indicators.

A first aspect relates to an apparatus, system and method for calculating a driving behaviour risk indicator for a driver of a vehicle. Said aspect involves obtaining a count of events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on the vehicle, the inertial unit including a 3D inertial sensor with 3D gyroscope functionality, each event being indicative of at least one of dangerous and aggressive driving; and calculating a driving behaviour risk indicator based on the number of events in each category. According to a second aspect, an apparatus and method for reconstructing a vehicle trajectory is provided. Said aspect includes updating a sensor error model.

The invention provides an information security risk assessment method oriented to a typical metallurgy process control system and belongs to the technical field of industrial control system information security. The system robustness under different attack modes and policies is analyzed by establishing an attack model under the typical scenes of the metallurgy process, and therefore, the security risk assessment on the typical metallurgy process control system in different attack modes and a failure mode can be realized. Based on the risk theory, the method is used for performing the security risk assessment by use of a random probability algorithm by defining the metallurgy process control system as a physical information fusion system; from the two aspects of the occurrence probability and the influence of attack sources or failure sources, a security assessment method based on risk indexes is developed. Quantitative estimation is performed based on risk indexes; a security incident set is created based on the established physical information fusion model and attack model, and then the security incident set is combined with the calculated robustness assessment indexes for the quantitative estimation, and therefore, the weak security links in the control system can be located conveniently.

The invention discloses a power grid dispatching operation real-time risk assessment method with equipment aging factors considered. The method includes the steps that (1) the sequence of dispatching operation instructions to be operated is read, the dispatching operation states between the dispatching operation instructions in each step are determined, and meanwhile non-power information at the current moment is obtained, wherein the non-power information comprises the equipment operation information and the social state information; (2) expected fault scene sets of all the dispatching operation states are determined; (3) the real-time occurrence probability of each expected fault scene in the expected fault scene sets corresponding to all the dispatching operation states is calculated; (4) the load reduction quantity when the control expense for enabling the expected fault scenes to be recovered to a normal working state from a failure state is minimum is determined; (5) risk indexes under all the dispatching operation states are calculated; (6) risk control measures are formulated according to practical situations so as to guarantee normal execution of the sequence of the dispatching operation instructions, and the safe and stable operation capacity of power grids is improved easily.

The invention discloses a power grid lightening disaster risk assessment technique method based on fine grid blocks. The power grid lightening disaster risk assessment technique method is used for analyzing vulnerability of the power grid encountered with lightening disaster under the condition that the earth fine grid blocks serve as basic evaluation units. The method comprises the following steps: (1) correlation coefficient of land types and cloud-to-ground lightening density is analyzed and confirmed so as to conduct significance testing according to the land types; (2) correlation coefficient of climate background and the cloud-to-ground lightening density is confirmed so as to conduct significance testing; (3) weight of lightening disaster risk indicators is confirmed by adopting a gray relational degree method; (4) quantization is conducted to the weight of lightening disaster risk indicators; and (5) a power grid lightening disaster risk assessment model is built under the condition that the earth fine grid blocks serve as the basic evaluation units. According to the power grid lightening disaster risk assessment technique method based on the fine grid blocks, a fine space quantization geographic information system (GIS) model of power grid vulnerability in lightening disaster is built, the power grid lightening disaster risk assessment model is proposed, space quantization researching of the power grid vulnerability in lightening disaster is conducted under the condition that the earth fine grid blocks serve as the basic evaluation units, and the power grid lightening disaster risk assessment technique method is wide in application range and high in accuracy.

The invention belongs to the technical field of risk evaluation of an electric power system, and particularly relates to an electric power system operation risk evaluation method based on random set theory. The evaluation method comprises the steps of performing classification quantification on each influence factor according to collection of historical data of the electric power system and prediction of short-time system operating condition in the future, and expressing each variable in a random set form; performing sampling on random set focal elements of each variable by a Monte Carlo method so as to generate system operating states under influences of various kinds of uncertain factors; through section power flow calculation, judging whether branch power flow overload or node voltage out of limit exists or not, and performing correction on the system to eliminate branch power flow and voltage out of limit; and calculating element-level and system-level system operating risk indexes, outputting the system operating risk indexes and performing evaluation on the system short-time risk level. By virtue of the evaluation method, uncertain information in risk evaluation can be solved and processed, so as to comprehensively reflect influence of the uncertain factors on the risk indexes, and the specific probability distribution condition.

The invention relates to an online risk evaluation method for a power distribution network, and belongs to the field of electric power system risk evaluation. Risks are divided into a device layer, a feeder layer, a feeder contact group layer and a system layer through the online risk evaluation method. The method comprises the steps of firstly, respectively collecting data of risk indexes and importance indexes of each layer, and storing the data into a real-time database; then, judging numerical values of the risk indexes and numerical values of the importance indexes of each layer by the combination of judgment criteria defined by a rule base, wherein the risk indexes and the importance indexes are divided into five levels in the rule base; finally, respectively calculating the risk value R and the importance value Imp of each layer. According to the online risk evaluation method, the risks of the power distribution network are divided into the four layers and five levels, so that the influence of the risks of components in the power distribution network on the risks of the power distribution network is considered, the system risks can be known, the device risks can also be known, importance of each component in the power distribution network is provided, and clearer guidance is provided for reducing the risks.

The invention discloses a risk-considered urban power network operation security assessment method. The risk-considered urban power network operation security assessment method comprises the following steps: analyzing an urban power network operating risk source which is divided into two types, namely a small disturbance risk source including both load fluctuation and distributed power supply output fluctuation, and a fault risk source including both internal network faults and external network faults; as for the two risk sources, respectively building static security risk index models and transient security risk index models to assess the urban power network operating safety level. A traditional deterministic security assessment method only attaches importance to the most serious and credible accidents, so that the result is conservative. A probabilistic assessment method overcomes the defect of the deterministic assessment method, and additionally considers the uncertain factor (probability of occurrence). The risk-considered urban power network operation security assessment method is a modification and improvement of the original probabilistic assessment method and can quantify the accident results.

The invention discloses a method and system for selecting customers for paying electricity charges. The method includes: obtaining power user information from a power user information server; screening out risk evaluation indicators for electricity use and legal credit risk evaluation indicators, and obtaining basic credit risk evaluation indicators ; Obtain the actual score value of each risk evaluation index of each power user; obtain the final weight of the basic credit risk index and the electricity use risk index; according to the actual score value of the basic credit risk evaluation index and the electricity use risk The actual scores of the evaluation indicators are multiplied by the corresponding weights and accumulated, and then directly accumulated the actual scores of the legal credit risk evaluation indicators to obtain the comprehensive risk rating score of the power user; the higher the comprehensive risk rating score of the power user, Electricity users have a higher level of risk.

The invention discloses a risk evaluation method for the transmission capacity of an electric network, which comprises the following steps of: aiming at an electric network system, constructing a load model containing distribution network impedance and calculating to obtain the change range of the parameter of the load model; taking the typical load of the load model as a model vector base and multiplying various formation proportions of the typical load and the model vector base to obtain a model vector; calculating to obtain the fuzzy expectation of the parameter of the load model at different temperatures and multiplying the fuzzy expectation at different temperatures and the probability of the occurrence of the temperatures and then totalizing to obtain the fuzzy expectation of the temperatures; dividing the change range of the parameter of the load model into preset equal portions and calculating the transmission power limit of the section and the damping ratio of a generator respectively when the parameter of the load model is changed according to the preset equal portions; sampling the transmission power limit of the section and the damping ratio of the generator by adopting a Monte Carlo method within the change range of the parameter of the load model to obtain the risk evaluation parameter of the load model; and calculating the risk indicator of the transmission capacity of the section of the electric network according to the risk evaluation parameter of the load model.

The present invention is in the field of modeling and quantifying Regulatory Capital, Key Risk Indicators, Probability of Default, Exposure at Default, Loss Given Default, Liquidity Ratios, and Value at Risk, using quantitative models, Monte Carlo risk simulations, credit models, and business statistics, and relates to the modeling and analysis of Asset Liability Management, Credit Risk, Market Risk, Operational Risk, and Liquidity Risk for banks or financial institutions, allowing these firms to properly identify, assess, quantify, value, diversify, hedge, and generate periodic regulatory reports for supervisory authorities and Central Banks on their credit, market, and operational risk areas.

The application relates to a computer system and provides an account risk evaluation method and apparatus used for effectively identifying illegal accounts to improve system security. The method comprises: by a management server, determining a risk grade of a mobile phone number according to the number of natural persons bound with the mobile phone number, and determining a risk grade of each account according to a binding relationship between the mobile phone number and the account; and based on the risk grade of each account and a corresponding relationship between a preset risk grade and a risk index, determining the risk index of each account, wherein the risk index is used for representing the probability of causing an account case. According to the account risk evaluation method and apparatus, the illegal accounts causing harm to the system security can be identified accurately and efficiently, so that strict management and monitoring can be performed and the operational security of the computer system is comprehensively improved.

The invention provides a data network device risk assessment method and device. The method is applied to a network management device, a risk zone is set for each network device in an electric power communication data network by the network management device, and each risk zone comprises one or more risk indicators; the method comprises the following steps: an operation state of the network device is detected, risk degrees of risk indicators in each risk zone are calculated according to the operation state, and the operation state of the network device is subjected to risk assessment operation according to risk degrees of risk indicators in all risk zones of the network device. Compared with technologies of the prior art, the data network device risk assessment method and device are advantaged by comprehensive risk indicators, reliable assessment method and accurate risk assessment results.

The invention relates to a method for recognizing a risk state of a power distribution network. The method is implemented by a serial computing method and a parallel computing method. In the serial computing method, risk state continuous recognition and tracking are performed after the risk state is recognized; in the parallel computing method, risk state continuous recognition and tracking and recognition of risk states of a power grid in various states and in each stage are performed at the same time; the serial computing method and the parallel computing method are different design ideas in the full power distribution network risk state recognition process, and the recognition results of the serial computing method and the parallel computing method are the same. By the method, judgment and evaluation of a risk index computing result are realized by adopting a design of a rule base, a knowledge base, a professional base and a risk base and online generation thereof, so that the risk state of the current power distribution network can be determined; due to the design of the rule base, the knowledge base, the professional base, a single and independent risk index for judgment is avoided and the judgment, the recognition and the evaluation of the risk state of the power distribution network are realized by adopting a comprehensive risk index.

The invention provides a water environmental risk source risk representing method in a drainage basin transboundary region. The method is used for evaluating the risk level of a risk source of the drainage basin transboundary region. The risk source of the transboundary region is divided into five categories including a surface source, production enterprises, a centralized treatment place of waste, a chemical storing site and transportation. The method includes the fives steps that first, a risk source risk index system of the transboundary region is constructed, the risk index systems of the five categories of risk sources respectively comprise three first-level indexes and a plurality of second-level indexes, the numbers of the second-level indexes in the risk index systems are different, and the indexes comprise three risk levels of the high risk level, the middle risk level and the low risk level; an information database of the risk sources of the transboundary region is established, values are assigned to all the second-level indexes, and the values of the all the second-level indexes are standardized to [0,1]; then, fuzzy weights of the indexes are determined; next, a fuzzy integration method is adopted for respectively calculating the risk indexes of the risk sources, the self-purification index of environmental mediums, and the vulnerability index of risk receiving bodies; finally, the risk indexes of the risk sources are calculated through the fuzzy integration method so that the risk levels of the risk sources can be represented.