37 results about "Extreme events" patented technology

The disclosed embodiments relate to a mechanism which may restrict or otherwise manage the extent of exposure of any particular market participant within the price movement threshold of a market protection system which interrupts market activity during extreme events, as well as to a mechanism for controlling risk of loss which acts to reduce or otherwise manage a market participant's ability to concentrate their exposure, or risk of loss, within a range of price levels and / or within correlated products that could be executed upon before the market participant, or other entity responsible for the activities thereof, e.g. a risk manager, has an opportunity to react to rapid market movement. Such a mechanism, once the market protection system had activated, e.g. by placing the market in reserve, may permit the market participant, or other party, the opportunity to modify or cancel unexecuted orders to mitigate potential losses.

A support assembly for a geared architecture includes an engine static structure. A flex support is secured to the engine static structure and includes a bellow. A support structure is operatively secured to the flex support. A geared architecture is mounted to the support structure. First members are removably secured to one of the engine static structure and the flex support and second members are removably secured to the support structure. The first and second members are circumferentially aligned with one another and spaced apart from one another during a normal operating condition. The first and second members are configured to be engageable with one another during an extreme event to limit axial movement of the geared architecture relative to the engine static structure.

A wind turbine has a Lidar (20) device to sense wind conditions upstream of the wind turbine. Signals from the wind turbine are processed to detect an extreme change in wind direction. The detection is performed by differentiating the rate of change of wind direction and filtering for a period of time. On detection of extreme change the system controller takes the necessary evasive action which may include shutting down the turbine, commencing an immediate yawing action, and de-rating the turbine until the yawing action is complete.

A frame for a heavy-duty vehicle includes a pair of spaced-apart and longitudinally-extending main members. At least two cross members extend between and are attached to the main members. Each one of at least a pair of hangers is attached to and depends from a respective one of the main members for suspending an axle / suspension system from the frame. A force distribution assembly is attached to the main members and the hangers and includes a component that deforms or shears in an extreme event. The force distribution assembly extends perpendicularly between the main members and interrupts the transmission of forces encountered by the axle / suspension system that move through each one of the hangers to its respective main member, and redirects at least a portion of such forces across said force distribution assembly and into the other one of the main members.

A LIDAR or other remote sensing apparatus is mounted on a wind turbine to sense one or more wind parameters. An extreme event detector processing signals from the LIDAR to determine whether a given sensed parameter will, when it arrives at the turbine, exceed a predetermined value and represent an extreme event. On detection of an extreme event, the detector outputs an extreme event signal to a controller. The controller controls overrating of the turbine in response to a variety of sensed parameters and selectively operates the turbine at above rated wind speed. On receipt of the extreme event signal the overrating is overridden to prevent damage to turbine components. The controller may be a power plant controller and the override signal may override only overrating at the turbine which has detected the extreme event, or a plurality of turbines.

A frame for a heavy-duty vehicle includes a pair of spaced-apart and longitudinally-extending main members. At least two cross members extend between and are attached to the main members. Each one of at least a pair of hangers is attached to and depends from a respective one of the main members for suspending an axle / suspension system from the frame. A force distribution assembly is attached to the main members and the hangers and includes a component that deforms or shears in an extreme event. The force distribution assembly extends perpendicularly between the main members and interrupts the transmission of forces encountered by the axle / suspension system that move through each one of the hangers to its respective main member, and redirects at least a portion of such forces across said force distribution assembly and into the other one of the main members.

Cementitious materials having high damage tolerance and self-sensing ability are described herein. These materials may replace conventional concrete to serve as a major material component for infrastructure systems with greatly improved resistance to cracking, reinforcement corrosion, and other common deterioration mechanisms under service conditions, and prevents fracture failure under extreme events. These materials can also be used for the repair, retrofitting or rehabilitation of existing concrete structures or infrastructure systems. Furthermore, these materials may offer capacity for distributed and direct sensing of cracking, straining and deterioration with spatially continuous resolution wherever the material is located, without relying on installation of sensors. The present invention relates to multifunctional cementitious structural or infrastructure materials that integrate self-sensing with damage tolerance for improving safety, extending service life, and health monitoring of structures, components, and infrastructure systems.

A method for constrained control of a wind turbine includes receiving a plurality of operating parameters corresponding to the wind turbine. The plurality of operating parameters includes a wind preview parameter and a plurality of constraint parameters. The method further includes generating a constraint parameter estimate corresponding to a future time instant for at least one constraint parameter of the plurality of constraint parameters based on the plurality of operating parameters and a wind preview model. The method also includes predicting an extreme event corresponding to the at leastone constraint parameter based on the constraint parameter estimate. The method includes determining a control parameter value corresponding to a wind turbine control parameter among a plurality of wind turbine control parameters. The method also includes operating the wind turbine using a feedforward control technique based on the control parameter value to circumvent the extreme event.

A wind turbine has a Lidar device to sense wind conditions upstream of the wind turbine. Wind speed signals from the wind turbine are processed to detect an extreme operating gust. The detection is performed by differentiating the axial wind velocity and filtering for a period of time. On detection of extreme operating gust the system controller takes necessary evasive action which may include shutting down the turbine or varying the blade pitch angle.

The invention belongs to the technical field of buildings and traffic bridges, and particularly relates to a highway bridge random traffic flow simulation method. A random traffic flow simulation model is established with a Monte-Cralo method, and the random distribution rule of vehicles on a highway bridge is described to simulate the formation of random traffic flow. Moreover, the simulation of random traffic flow in the case of extreme events is added, so that the simulation effect is more vivid; the simulation accuracy is further increased; the practical vehicle load acting on the bridge is better reflected; and powerful support is provided for the fatigue analysis and power response analysis of a bridge structure.

The invention provides a lead deicing system used for a high voltage power transmission and transformation project. The lead deicing system comprises a carrying vehicle. The rear part of the carrying vehicle is provided with a compartment which is internally provided with shelves. The shelves are internally provided with multiple self-propelled deicing devices. The rear part of the compartment is provided with a control room which is internally provided with a console. The top part of the compartment is provided with an unmanned aerial vehicle. The lower part of the unmanned aerial vehicle is provided with fixing mechanisms in a way of being corresponding to the self-propelled deicing devices. The console is connected with the unmanned aerial vehicle and the self-propelled deicing devices in a signaling way. Each self-propelled deicing device comprises a walking mechanism which is provided with a deicing mechanism. The deicing mechanism is provided with an adjusting mechanism on which a wind swing is arranged. The ice on the power transmission line can be automatically removed, and the work personnel arrange the deicing devices on each section of power transmission line through the unmanned aerial vehicle and then recover the deicing devices together so that the efficiency is quite high and the labor input is low. Besides, the adjusting mechanism on which the wind swing is arranged is installed so that efficient line deicing can also be solved within the extreme event and the safety can also be ensured.

The invention discloses a method and device for absorbing and precipitating radionuclide in a containment of a nuclear power plant. The device for absorbing and precipitating radionuclide is mounted in the containment of the nuclear power plant in advance, and the device includes an absorption box containing high temperature resistant inorganic absorption material and two water tanks containing different formula solutions. In case that the nuclear power plant is in extreme events, a loop in the containment of the nuclear power plant is broken, and a great deal of high-temperature and high-pressure radioactive water with high concentration is to be released into the containment, the absorption material in the absorption box is serviced to absorb the radionuclide in the radioactive water; the solutions in two water tanks are automatically controlled or manually controlled to be emptied into the containment in sequence; two solutions are reacted with the radionuclide in the radioactive water with high concentration to generate precipitation; 131 I, 137 Cs and 90 Sr in the radioactive water with high concentration are absorbed and precipitated in the containment, as a result, the concentration of radioactive substances in the water in the containment is reduced; and the quantity of the radionuclide released to the atmospheric environment is reduced during releasing the pressure ofthe containment to exhaust gas or when the containment is broken.

The invention discloses a long-effectiveness passive containment cooling system. The heat of water in a heat exchange pool can be transmitted into air between a containment and a concrete shielding layer through evaporation of the water in the heat exchange pool and / or heat exchange of a heat exchange pipe component, the heat can be taken away by air convection between an air inlet and an air outlet, and a water-supplementing device of a containment water-supplementing pool can maintain that the liquid level of the heat exchange pool is basically not changed. By implementation of the long-effectiveness passive containment cooling system provided by the invention, the hidden danger of the containment structural strength and stability can be eliminated, the capacity of the containment water-supplementing pool is increased and the extreme event-resisting ability of the containment is improved; heat exchange power is obviously increased and safe reliability is improved; and temperature reduction and pressure reduction of the containment are effectively realized, so that the integrity of the containment is guaranteed.

A LIDAR or other remote sensing apparatus is mounted on a wind turbine to sense one or more wind parameters. An extreme event detector processing signals from the LIDAR to determine whether a given sensed parameter will, when it arrives at the turbine, exceed a predetermined value and represent an extreme event. On detection of an extreme event, the detector outputs an extreme event signal to a controller. The controller controls overrating of the turbine in response to a variety of sensed parameters and selectively operates the turbine at above rated wind speed. On receipt of the extreme event signal the overrating is overridden to prevent damage to turbine components. The controller may be a power plant controller and the override signal may override only over-rating at the turbine which has detected the extreme event, or a plurality of turbines.

The invention discloses an emergency response method for an extreme event of a complex energy interconnection system. The method comprises the following steps: constructing a complex energy interconnection system structure; based on system dynamics, decomposing the whole complex energy interconnection system into interacting subsystems, and establishing an internal dynamics model of each subsystem; describing a dynamic response behavior of the complex energy interconnection system under an extreme event, and establishing a response model; when the complex energy interconnection system encounters an extreme event, the response model automatically making a response decision and measures to make an emergency response. According to the method, the whole complex energy interconnection system isdecomposed into a plurality of interacting subsystems by means of a system dynamics model, qualitative and quantitative relations among variables are simulated and analyzed, complex system characteristics of multiple subjects, dynamic coupling and iteration are expressed, and dynamic response behaviors of the complex energy interconnection system under extreme events are described.

The invention provides a method for establishing a transmission grid safety risk comprehensive evaluation index system. The method comprises the steps of establishing an index system hierarchical structure which sequentially comprises a target layer, a criterion layer and an index layer; dividing indexes in the target layer into a transmission grid safety risk index and a transmission grid social benefits index; establishing evaluation indexes for the transmission grid safety risk index, which comprise a transmission and distribution equipment risk event index, a transmission grid structural risk index, a transmission power supply risk index and an extreme event risk index; establishing a clean utilization energy index and a continuous power supply social benefits index; establishing evaluation indexes respectively for the transmission and distribution equipment risk index, the transmission grid structural risk index, the transmission power supply risk index and the extreme event risk index, and calculating the transmission grid safety risk index; establishing evaluation indexes respectively for the clean utilization energy index and the continuous power supply social benefits index, and calculating the transmission grid social benefits index; and calculating a transmission grid safety risk comprehensive evaluation index.

The invention provides a rainfall runoff simulation method based on physical mechanism guided deep learning. A hydrological physical process and hydrometeorological big data are combined; a penalty term of a preferred function is set; a deep learning simulation scheme under the guidance of a physical mechanism is realized. According to the runoff simulation method provided by the invention, an extreme event sample is adopted as punishment, a rainstorm event and a long-term rainless event are considered, a brand-new calculation formula is provided, and compared with a traditional deep learningmethod, the runoff simulation method provided by the invention solves the problem that deep learning lacks a physical mechanism, and avoids non-monotonicity in the simulation process. The method can be widely applied to rainfall runoff simulation, runoff simulation and prediction can be completed systematically and completely, and a basis is provided for scientific decision making.

The invention discloses a risk assessment method for extreme events of a power system, and belongs to the technical field of calculation, reckoning and counting. The method comprises the steps of obtaining an equipment fault probability model of a power system under an extreme event based on historical data or simulation data; randomly generating a system state by adopting a Monte Carlo method based on the fault probability model; selecting an appropriate consequence evaluation method to determine the loss of the system in the corresponding system state; analyzing an extreme value risk distribution situation based on an extreme value theory; and evaluating the influence of the extreme risk on the power system based on a risk value calculation method. According to the method, the influenceof the extreme event on the power system can be evaluated in advance, and a conventional risk evaluation method is supplemented.

A method for constrained control of a wind turbine includes receiving a plurality of operating parameters corresponding to the wind turbine. The plurality of operating parameters includes a wind preview parameter and a plurality of constraint parameters. The method further includes generating a constraint parameter estimate corresponding to a future time instant for at least one constraint parameter of the plurality of constraint parameters based on the plurality of operating parameters and a wind preview model. The method also includes predicting an extreme event corresponding to the at least one constraint parameter based on the constraint parameter estimate. The method includes determining a control parameter value corresponding to a wind turbine control parameter among a plurality of wind turbine control parameters. The method also includes operating the wind turbine using a feedforward control technique based on the control parameter value to circumvent the extreme event.

The invention discloses a load prediction method under extreme scenes based on modal decomposition and transfer learning. The method comprises the following steps of: 1) counting power load historicaldata in various extreme scenes, and classifying the power load historical data according to an approximate trend of a load curve; 2) performing frequency division on the data by using an improved aggregation empirical mode decomposition method to obtain a load trend term and a plurality of high-frequency components; 3) performing transfer learning based on attention mechanism model weight transfer by using the trend term of the historical data to obtain a prediction model of the trend term; and 4) respectively carrying out load prediction on the trend term and the intrinsic mode function by using a prediction model and an LSTM network, and superposing prediction results to obtain a load prediction result. According to the method, the power load historical data when various extreme eventsoccur can be fully utilized to predict the power load trend in the same kind of scenes, and the problem that a traditional method is not suitable for power load prediction in extreme scenes is solved.

A riser for a subsea well comprises a first riser section that may be similar to conventional risers in design and material specifications. A second riser section comprises a passive fracture section that is specifically designed to shear or fracture under design conditions, such as extreme events (e.g., extreme weather or waves, loss of control of a rig or vessel, a rig or vessel moving from a desired position). The passive fracture section is designed to fracture first to prevent or minimize damage to other well equipment, such as at the seabed.

The invention discloses a medium-range forecast system and method for cold, rainy and snowy weather based on atmospheric variable physical decomposition. By utilizing the atmospheric space three-dimensional multivariable and time continuous grid data outputted in the past observed, the current observed and the medium-range numerical weather prediction modes, and the physical decomposition of the climate and the weather disturbance quantity, a causality between the regional sustained low temperature, rain and snow and freezing extreme weather events and the weather disturbance prior to and during the events is established in the method. According to the invention, a physical decomposition of the climate seasonal variation field and the day-to-day weather disturbance field is carried out according to the data of day-to-day three-dimensional space grid point temperature, altitude and wind and the like of the atmosphere from the troposphere to the stratosphere in the northern hemisphere for nearly 30 years, and a database for the atmospheric climate field and the weather disturbance field can be established; and a historical database of the low temperature, rain and snow and freezing weather in south China is established according to the data of day-to-day temperature and precipitation from the national meteorological station for nearly 50 years. The invention provides not only an inquiring system for historical low temperature, rain and snow and freezing weather events, but also a forecasting system for medium-range low temperature, rain and snow and freezing weather events.

The present application relates to an extreme event prediction method, device, computer equipment, storage medium and computer program product. The method includes: obtaining historical electrical parameters of the power system in a first historical period; obtaining Gibbs measures of historical electrical parameters; inputting the Gibbs measures into a pre-trained event prediction model to obtain the output of the event prediction model Prediction information, the prediction information is used to indicate whether extreme events will occur in the power system at the target future moment after the first historical period; wherein, the event prediction model includes multiple neural network layers constructed based on the XGBoost algorithm and an extension for linking the neural network layers convolutional network. Using this method can realize the prediction of extreme events.

The invention discloses a method and device for absorbing and precipitating radionuclide in a containment of a nuclear power plant. The device for absorbing and precipitating radionuclide is mounted in the containment of the nuclear power plant in advance, and the device includes an absorption box containing high temperature resistant inorganic absorption material and two water tanks containing different formula solutions. In case that the nuclear power plant is in extreme events, a loop in the containment of the nuclear power plant is broken, and a great deal of high-temperature and high-pressure radioactive water with high concentration is to be released into the containment, the absorption material in the absorption box is serviced to absorb the radionuclide in the radioactive water; the solutions in two water tanks are automatically controlled or manually controlled to be emptied into the containment in sequence; two solutions are reacted with the radionuclide in the radioactive water with high concentration to generate precipitation; 131 I, 137 Cs and 90 Sr in the radioactive water with high concentration are absorbed and precipitated in the containment, as a result, the concentration of radioactive substances in the water in the containment is reduced; and the quantity of the radionuclide released to the atmospheric environment is reduced during releasing the pressure of the containment to exhaust gas or when the containment is broken.

The invention discloses a long-effectiveness passive containment cooling system. The heat of water in a heat exchange pool can be transmitted into air between a containment and a concrete shielding layer through evaporation of the water in the heat exchange pool and / or heat exchange of a heat exchange pipe component, the heat can be taken away by air convection between an air inlet and an air outlet, and a water-supplementing device of a containment water-supplementing pool can maintain that the liquid level of the heat exchange pool is basically not changed. By implementation of the long-effectiveness passive containment cooling system provided by the invention, the hidden danger of the containment structural strength and stability can be eliminated, the capacity of the containment water-supplementing pool is increased and the extreme event-resisting ability of the containment is improved; heat exchange power is obviously increased and safe reliability is improved; and temperature reduction and pressure reduction of the containment are effectively realized, so that the integrity of the containment is guaranteed.