102 results about "Risk map" patented technology

A system, method and article of manufacture for creating risk maps for risk assessment and management and, more particularly, for creating risk maps for graphically displaying different characteristics of risks. One embodiment provides a method of creating a risk map for graphically displaying characteristics of risks. The method includes determining N selected risks from a plurality of potential risks, where N is an integer; determining, for each of the N selected risks, a probability of occurrence, a relative severity of occurrence, and a risk evaluation factor; and displaying, for each of the N selected risks, the probability of occurrence, the relative severity of occurrence and the risk evaluation factor.

The invention relates to the public health technology field and discloses the prevention and control method of disease control and travel information interconnection. The method comprises the following steps of retrieving the historical data of local infected cases and the composition of environmental factors affecting the survival of a disease infection source, and fitting a grid risk map; determining a newly infected person as an infection source, and obtaining the travel information of the newly infected person in the period of time before attack; classifying and screening the travel information, excavating possible resident points, combining with spatial road network data and carrying out semantization on the possible resident points; comparing the possible resident points in step 3 with the risk map generated in step 1 to acquire a main suspicious point which is taken as a high probability occurrence point; adopting an association rule excavation algorithm or a string pattern excavation algorithm to excavate a motion pattern so as to predict a possible propagation trend; and according to the above result, intervening a high risk area. The trend of an infectious disease is predicted and prevention and control cost is reduced.

Techniques for managing visitor flow in environments on which the visitors can have an impact are provided. In one aspect, a method for managing visitor flow in an indoor space is includes the steps of: obtaining real-time data from a wireless sensor network present in the indoor space, wherein the data indicates a presence/number of visitors in the indoor space and an environmental condition(s) in the indoor space; creating a risk map using the real-time data which indicates an impact the presence/number of visitors have on the environmental conditions in the indoor space; and generating an alert whenever the risk map indicates that the presence/number of visitors have greater than a predefined threshold impact on the environmental conditions in the indoor space. Systems for managing visitor flow in indoor spaces such as a gallery of a museum or a room in a hospital are also provided.

Diffusion weighted images and perfusion weighted images are acquired with an MRI system and used to produce low b, DWI, ADC, CBV, CBF, and MTT images of brain tissues following an ischemic event. These MRI physiological measurements are input along with a spatial location measurement to a generalized linear model that predicts the outcome of tissues surrounding a lesion.

A method to assess risk of fraud within an organization is disclosed. A review of an organization's business processes with respect to risk is performed. A first business process fraud risk map is generated based on the review by generating and assigning first risk values to the business processes of the organization. The first business process fraud risk map is correlated to positions of responsibility within the organization and second risk values are generated and assigned to the correlated positions. Business processes may be adjusted in an attempt to reduce a number of positions deemed to be of relatively high risk. Individual persons holding positions subject to risk may be designated for going through a fraud risk determination (e.g., certification) process and subsequent monitoring process, all designed to reduce fraud risk by helping deter and/or detect and/or mitigate fraud.

A method and system, the method including capturing country-specific parameters of a risk-exposed country relating to stored predefined criteria, assigning one or more disaster event types to a disaster history table, capturing and storing mapping parameters for a geographic risk map, assigning each of a plurality of selectable disaster financing types to a definable cost factor capturing the capital cost of the disaster financing type in relation to its application for disaster mitigation, determining expected catastrophe losses by a loss frequency function and the geographic risk map for various scenarios of occurring natural disaster event types, and preparing a forecast of an effect of the disaster financing type to cover the catastrophe losses based on the coverage structure, the assigned cost factors, and the determined expected catastrophe losses

The invention discloses an intelligent vehicle safety situation assessment method considering multi-vehicle interaction. The method comprises the following steps:1, establishing an intention recognition module through a long-short-term memory network; 2, defining logic judgment based on probability maximum classification through the intention recognition module according to the historical track information of the vehicle, and calculating the driving intention probability of the surrounding vehicles of the predicted vehicle; 3, outputting a potential risk by adopting a risk assessment module based on a driving safety field through analyzing the interaction among the driver, the vehicle and the road; 4, establishing a comprehensive situation evaluation model in combination with the driving intentions, calculated by the risk evaluation module and the intention recognition module, of the surrounding vehicles of the predicted vehicle, and outputting a dynamic potential risk map consideringmulti-vehicle interaction in a dynamic traffic scene through the comprehensive situation evaluation model; according to the invention, the dynamic potential risk map considering multi-vehicle interaction can be output, and the calculated risk map allows the intelligent vehicle to evaluate the driving state of the intelligent vehicle by using the real-time risk value so as to perform early warningand take appropriate measures.

The invention discloses a driving risk section recognition and warning system and method based on networked vehicles. The method comprises: acquiring acceleration data of a networked vehicle to perform risk analysis, determining a vehicle motion acceleration threshold capable of representing driving risk, using a space clustering process to identify a risk section based on the locational information of the networked vehicle exceeding the threshold in conjunction with a map, and generating a road risk map cloud terminal; acquiring driving data of a target vehicle, comparing the driving data with a cloud driving risk map, extracting current acceleration data of the vehicle when the target vehicle is driven into the risk section, and if current driving acceleration is greater than a risk acceleration trigger value, generating corresponding warning information and sending to a vehicular display device of the target vehicle or an external intelligent cellphone, and giving a warning to a driver in conjunction with a navigation map. The driving risk sections are recognized and warned on in real time, a driver has better sensing and handling for driving risks, and traffic accident rate isdecreased.

The invention discloses a risk gang identification method and device. The method comprises the following steps: constructing a risk knowledge graph based on historical behaviors of a trusted user, wherein the risk knowledge graph comprises a non-user node, a trusted user node and a common user node associated with the trusted user; Extracting nodes matched with a risk template and connection edgesbetween the nodes from the risk knowledge map to form a risk map; For each node in the risk map, according to the time parameter of the occurrence time of the incidence relation between the node anda neighbor node and the degree of the neighbor node, carrying out iteration on the label of the node, and after one round of iteration is completed, judging whether a modularity function with time aggregation is converged or not; And when the modularity functions with the time aggregation converge, identifying the nodes with the same tags as the same risk gangs.

The invention discloses a risk gang identification method and device. The method comprises the steps that a risk knowledge graph is constructed based on user historical behaviors and a lost user list,the risk knowledge graph comprises non-user nodes, lost user nodes hitting the lost user list and common user nodes not hitting the lost user list, and the non-user nodes represent attribute characteristics of a user; the risk template is acquired, Wherein the risk template comprises a plurality of template nodes and connecting edges between the template nodes, the template nodes comprise one ormore of a non-user node, a lost credit user node and a common user node, and the connecting edges are used for representing that the connected template nodes have an association relationship; nodes matched with the risk template and connecting edges between the nodes are extracted from the risk knowledge map to form a risk map; And the nodes in the risk map are divided into a plurality of groups by adopting a community division algorithm, and the nodes in each group are identified as the same risk gang.

An abnormality related to control of automatic driving of a vehicle can be easily and appropriately diagnosed. In a vehicle control system 1000, a plurality of risk information generation units (CPUs 10A and 10B that execute risk map creation program 112A and 112B) that generates risk map which is used for automatic driving control of a vehicle when the vehicle moves based on sensor information related to an object around the vehicle is provided. Diagnosis units (CPUs 10A and 10B that execute diagnosis (risk map comparison) programs 113A and 113B)) that diagnose whether or not an abnormality occurs in the generated risk information based on a plurality pieces of risk information generated by the plurality of risk information generation units is provided.

A system for qualifying usability risk associated with subsurface defects in a multilayer coating includes a component having a multilayer coating, an infrared detection device for capturing infrared images of the multilayered coating and a processing unit that is in electronic communication with the infrared detection device where the processing unit generates a subsurface defect map of the multilayer coating based on the infrared images. The system further includes a risk map of the component.

The invention provides a vehicle control method, device and equipment, a vehicle and a storage medium. The method includes the steps that the current travelling information of the vehicle is obtained;according the current travelling information and a preset risk map, whether the vehicle travels to a risk road section or not is judged, and the preset risk map includes risk road sections on all roads; and if the fact that the vehicle travels to the risk road section is determined, the travelling states of the vehicle are controlled correspondingly. Through the preset risk map, the risk areas ofthe roads and beside the roads are defined in the map; the risk road sections of the roads are defined according to the risk areas of the roads and beside the roads; during vehicle travelling, whether the vehicle travels to the risk road sections or not is judged in real time, and the travelling states such as speed lowering and stopping of the vehicle are controlled when the fact that the vehicle travels to the risk road section is determined; and the risks, caused by the risk areas, to travelling of the vehicle are avoided, and the travelling safety of the vehicle can be effectively improved.

The invention provides a soil heavy metal risk prediction method. Based on a sequential condition simulation method, the contents of various heavy metals in the soil in a target area can be estimated,and a visualized risk map of heavy metals in the soil is generated by integrating various heavy metal contents based on a Hakanson potential ecological risk index method. Compared with a traditionalKriging interpolation method, the sequential condition simulation method can better reflect the uncertainty of heavy metal distribution, overcomes the smoothing effect of the traditional Kriging interpolation method, and has better predictability; the Hakanson potential ecological risk index method can scientifically synthesize various soil heavy metal contents and obtains the more accurate assessment risk; the method is relatively intuitive to observe high-risk areas from the visible soil heavy metal risk map, makes preventive measures in time, and has good practicability.

The invention discloses a risk assessment method for wide-range crop diseases. The method comprises the following steps that: selecting the n pieces of meteorological parameters of a monitoring area,giving an attack earlier stage meteorological early waning, carrying out meteorological encryption monitoring, calculating each meteorological parameter to obtain a disease occurrence posterior probability, predicting a meteorological multi-factor disease probability, adopting an inverse distance weighted method to carry out spatial interpolation, generating an accumulated meteorological risk map,generating a remote sensing growth vigor map, and generating a disease occurrence appropriateness map. The method has the characteristics that comprehensive information, including meteorology, crop habitats, representation after crops are stressed and the like, can be comprehensively considered for giving a disease early warning, and the method can be reused by various main crop diseases.

The invention discloses a ship collision early warning system based on an unmanned aerial vehicle. The system includes an unmanned aerial vehicle on which a monitoring device for collecting ship navigation data is carried, the navigation data including historical tracks and speed; a movement predictor used for predicting the position and moving direction of a ship at a next moment according to thehistorical track, speed, current position and target position to which the ship is steered of the object ship, and generating a predicted track of the ship after unit time on a two-dimensional plane;a risk range generator used for generating a risk map according to the ship speed and the predicted track, the risk map representing a possible range in which the object ship possibly is after unit time and a degree of risk under a condition that other ships enter the range; and a risk analysis module used for judging the possibility of occurrence of a collision according to the crossed overlapping situation of the risk maps of different object ships. The ship collision early warning system based on an unmanned aerial vehicle is used for performing early warning about a collision of ships andreducing the possibility of occurrence of a collision in a ship-dense water area such as a port.

The invention discloses a refined diagnosis method for urban agglomeration area flood risk zoning. The method comprises the following steps of using a GIS spatial data analysis function to carry out data rasterization and standardization processing on each index; constructing a judgment matrix corresponding to the index system; calculating the relative weight of each index and the flood risk degree of different grid units so that establishment of an urban agglomeration area flood risk degree evaluation model based on a fuzzy analytic hierarchy process and drawing of a flood risk map are realized. From the perspectives of rainstorm distribution characteristics, historical flood distribution characteristics, rainstorm ponding risk distribution characteristics of all cities and the like, theflood risk distribution characteristics of urban agglomeration areas are systematically diagnosed in an omnibearing and multi-angle mode. The flood risk degrees and risk levels of different dangerousareas are accurately calculated, a multi-index problem is scientifically and objectively synthesized into a single-index form, a single index capable of effectively measuring the flood risk degree isconstructed, and a reliable technical support means is provided for flood dangerous area division.

The invention discloses a geological disaster risk comprehensive evaluation method considering spatial distribution characteristics. Comprising the following steps: aiming at spatial aggregation and dispersion characteristics of historical geological disaster points, respectively proposing a data preprocessing method which uses a clustering algorithm to extract regional clustering attributes as evaluation indexes and is based on a fishing net grid; constructing a model based on a multi-machine learning algorithm of logistic regression (LR), a support vector machine (SVM), a gradient boosting tree (GBDT) and a random forest (RF); determining an optimal model by comparing the model prediction precision with the map evaluation effect, and drawing a dangerous map; meanwhile, providing an experimental scheme for testing the technical reliability. According to the method, the model evaluation precision can be remarkably improved, the model evaluation performance can be enhanced, and the geological disaster risk map with more accurate prediction and better quality can be generated, so that a decision basis conforming to the actual situation is provided for disaster risk prevention and control planning work.

The present invention relates to a method for generating a risk map indicating predicted voxel-by-voxel probability of tissue infarction for a set of voxels, the method comprising the steps of, receiving for each voxel a first value (x) corresponding to a set of tissue marker values and generating the risk map, using a statistical model based on data from a group of subjects, and a stochastic variable, wherein the statistical model also comprises a second value (z_i), being based on the stochastic variable, such as the second value modelling non-measured values. The invention may be seen as advantageous since it acknowledges subject variability in probability of tissue infarction on a voxel-by-voxel basis by taking non-measured values into account, which in turn may enable providing more reliable estimates of probability of infarction.

A video transmitting device is to be provided in a vehicle and includes a first acquiring unit that acquires first video information from an imaging unit that captures images of the surroundings of the vehicle, a risk map creating unit that creates a risk map indicating a risk region in traveling of the vehicle, a video creating unit that creates second video information having a data amount smaller than a data amount of the first video information on the basis of the risk map, and a communication unit that transmits the second video information to a remote monitoring device for remotely monitoring the vehicle.

The invention belongs to the technical field of bursaphelenchus xylophilus invasion risk prediction, and discloses a bursaphelenchus xylophilus invasion risk prediction method based on an ecological niche factor model, and the method comprises the steps: obtaining distribution point data and environment data of an epidemic area of bursaphelenchus xylophilus; performing Kriging interpolation processing on the climate data, calculating the gradient and the slope direction in the topographic data, and obtaining vegetation types and human activity interference data; importing the distribution point data and various environmental data into an ecological niche factor model, and calculating pine wood nematode disease risk early warning; and evaluating the pine wood nematode disease invasion riskbased on the feature matrix and the risk map obtained by calculation. According to the invention, main environmental influence factors influencing pine wood nematode propagation are used; the method is suitable for local conditions, lays a foundation for early warning, monitoring and control work of pine wood nematode diseases and insect pests, provides a scientific basis for measures of forest biodiversity protection and ecological environment protection, and provides a basis and a reference for early warning and control work of forest diseases and insect pests.

The invention provides a flood risk dynamic display and analysis system, which relates to the technical field of disaster monitoring, and comprises a data acquisition module for acquiring water and rain condition data of a to-be-monitored area and counting accumulated water and rain condition data of the to-be-monitored area within a preset time; a data analysis module used for inputting the boundary condition set by the user and the accumulated water and rainfall condition data into a real-time analysis model under the condition that the accumulated water and rainfall condition data is greater than a preset threshold value to obtain a flood propulsion evolution process in the to-be-monitored area; a risk map drawing module used for drawing a flood propulsion evolution process and risk index data on a water conservancy base map based on a geographic information system to obtain a flood risk map; and a disaster damage analysis module used for generating a disaster analysis report basedon the flood risk map, the inundation area economic information and the flood influence analysis index, and solving the technical problems that in the prior art, professional personnel are needed to participate in drawing the flood risk map and analyzing the flood risk, so that the manufacturing period is long, and timeliness is lacked.

The invention discloses a three-dimensional landslide motion risk probability evaluation method, and relates to the technical field of landslide motion risk prediction. According to the method, a dynamic numerical model is used for landslide motion analysis, the final accumulation depth serves as observation information, the uncertainty of input parameters of the dynamic numerical model is calibrated through a multi-observation Bayesian inverse analysis method based on MCMC simulation, and posterior distribution is obtained. Then, the posterior distribution is used as the input of the potential landslide to estimate the override probability of the maximum motion height and the maximum motion speed of the potential landslide on the three-dimensional terrain, and a probabilistic motion risk map for quantitative risk evaluation of the individual landslide is generated. According to the method, the multi-response global Kriging agent model is adopted to approximate the relationship between the input and output of the model, so that the multi-response global Kriging agent model completely replaces a dynamic numerical model to carry out Bayesian back analysis and probability motion risk assessment, and the calculation efficiency is greatly improved on the premise that the precision is not lost.