30 results about "Hazard model" patented technology

A multi-operating mode frame type portable landslide testing device for a geomechanical model belongs to the field of geological hazard model test. The testing device comprises a frame-beam-type testing bed, a rainfall simulator, a water level regulator and a self-weight horizontal loading mechanism, wherein the frame-beam-type testing bed mainly comprises a cuboid framework, a front panel, a rear panel and a base plate; the rainfall simulator is arranged at the top of the frame-beam-type testing bed and comprises a plurality of spraying pipes and nozzles on the spraying pipes and is used for simulating rainfall in the frame-beam-type testing bed; the water level regulator comprises a left-side trough and a right-side trough respectively formed on the left and the right sides of the frame-beam-type testing bed, and a plurality of drainage holes are respectively formed on the right panel of the left-side trough and the left panel of the right-side trough and used for changing the water levels of water level simulation libraries in the left-side trough and the right-side trough; and the self-weight horizontal loading mechanism is arranged above the right-side trough and used for bearing weights, so as to exert horizontal load to the landslide model in the frame-beam-type testing bed.

The invention provides a GIS (Gas Insulated Switchgear) evaluation method which is implemented on a GIS, wherein the GIS comprises a plurality of subsystems and every subsystem comprises a plurality of elements. The GIS evaluation method comprises extracting historical data of the GIS and obtaining the fault rate of every element arranged in the corresponding subsystem according to a proportional hazard model; calculating probability values and evaluation values of every subsystem according to a preset algorithm, wherein the probability values are corresponding to the healthy state, the sub-healthy state and unhealthy state respectively and every probability value is correspondingly combined into the corresponding evaluation value; obtaining the defect and fault state of every subsystem to revise the evaluation values of every subsystem; establishing a bayesian network according to the GIS logical relation; obtaining the conditional probability of the GIS through the bayesian formula according to the bayesian network and the revised evaluation values to determine the system reliability. According to the GIS evaluation method and device, multiple information sources can be integrated, the complexity of the GIS can be combined, the numerical value of the reliability of the GIS can be quantized, and the reliability of the GIS can be accurately and rapidly evaluated.

The invention discloses a spectrum contract-based multi-user collaborative spectrum sharing method, which combines the characteristics of the market-driven spectrum contract mechanism to establish authorized user PU and non-authorized user SU models; taking into account the selfishness and personal rationality of the communication between the contracting parties Constraints, a spectrum contract framework is proposed to weigh the interests of both parties, so as to establish a multi-user collaborative spectrum sharing contract model under the condition of symmetrical network information; in view of the asymmetry of network information, in the process of contract design, the morality of various action concealment situations is analyzed. Risk issues, establish a moral hazard model in the case of PU behavior measurable and SU behavior concealment, a moral hazard model in the case of PU behavior concealment and SU behavior measurability, a moral hazard model in the case of PU behavior concealment and SU behavior concealment, by setting Contract parameters are used to motivate the actions of both parties to the transaction, and to ensure the optimization of network communication performance and the sharing of spectrum resources while achieving a win-win situation.

The invention discloses a method for screening quantitative features of prognosis of digital pathological images, which includes obtaining quantitative features a (0) ; using Cox proportional hazards algorithm, machine learning model and Pearson correlation coefficient to quantify feature a (0) Filter to get the feature vector a (3) ;Take the eigenvector a (3) Construct a Cox proportional hazards model and update the eigenvector a using the Cox proportional hazards model (3) , execute this step again, and then update the obtained feature vector a (3) Input the Cox proportional hazard model, output the characteristic risk coefficient, and calculate the proportional hazard value. Discretize the risk coefficient corresponding to each feature in the feature vector a to obtain the risk assessment score of each feature; divide the features whose assessment score is greater than the cutoff value into group Q, and divide the rest into group N; use group The corresponding features in Q are used as prognostic quantification features.

The invention discloses a method for predicting parking demand at night based on survival analysis, wherein the method includes: obtaining continuous parking data and some external factor data in a parking lot; Transform the nighttime parking demand into the resident part of the daytime parking vehicle; express the parking event as a survival event, and perform corresponding data processing to make the form suitable for the survival analysis method; Influenced Cox proportional hazards model; according to the model results, the probabilities of daytime parking for different durations of vehicles under different conditions are predicted, and the predicted nighttime parking demand is further obtained. The invention proposes a new microcosmic method for forecasting parking demand at night, and has good forecasting accuracy. The method for forecasting demand for parking at night according to the present invention can provide a basis for the night demand management of the parking lot, and can be used in the pricing of refined management, the opening of shared berths, and parking zoning.