38 results about "Weather patterns" patented technology

A system and method that allows for weather-based planning of future activities and/or events, and the like. The system includes weather forecast, weather history, activities, advertisement and external information source databases. Also included in the system is a central processing planning server that is accessible via a plurality of internal and external workstations. The workstations provide a graphical user interface for users to enter a series of inputs and receive information (i.e., output) concerning weather-based information. The method involves collecting the series of inputs—geographic location(s), time period(s), and preferred weather pattern(s)—affecting a future event.

The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.

A navigation system integrated with knowledge of active emergency alerting system alert data and up to date Doppler weather radar data, to provide a visual representation of an alert area and/or current weather patterns on a map, and to automatically navigate a subscriber device away from an affected area, e.g., an alert area, an area under severe weather. The inventive navigation system displays NEXRAD Doppler weather radar data on a map by integrating a NEXRAD feed into the map and allowing a user to enable/disable the NEXRAD feed as a map overlay. The inventive navigation system also automatically routes or reroutes a subscriber device to avoid areas under severe weather. The navigation system is also integrated with a conventional CMSP gateway in an emergency alerting system to provide: a visual representation of an alert area on a map and to automatically route/reroute a subscriber device around an alert area.

A communications link for a cellular communications system (10) includes a first airplane (35) for flying in a first pattern (86) and including a first antenna for transmitting RF beams (92) to form a first footprint (96) on a first target geographic area (98) to provide cellular phone users (18) within the footprint with a first communications link. A second airplane (35′) flies in a second pattern (86) and includes a second antenna for transmitting RF beams (92) to form a second footprint (96) on a second target geographic area (98) to provide cellular phone users (18) within the second footprint with a second communications link. The first and second airplanes each fly at an altitude that is below a high altitude level and that is varied to enable continuous uninterrupted coverage to be provided to a service area below in a weather pattern-independent and geographic feature-independent manner.

A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function F_ij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score L_i,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores L_j to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.

A system and method for allowing a consumer of a commodity to set the parameters of a budget bill calculation system via an interactive user interface. The parameters are intended to help consumers control their budget bill calculations, payment structure, true-up factors and other aspects of their budget bills. Budget bill payment amounts are calculated based on historic weather patterns, previous consumption, previous bills, mathematical models or may be set by the consumer art a certain amount, and the parameters selected by the consumer. A budget payment amount is then presented to the user including a budget payment amount and, in some cases, an actual or estimated true-up amount including when and how ant recalculations of the budget amount and true-ups will take place.

A system and method is provided for the control of a network of devices wherein each device of the networked devices provides for the operation of a sensor such as an accelerometer, processor and communication element within each device, and network and/or cloud based processing and storage, to process collected data to permit detection and predictive analysis of traffic patterns, weather patterns and other forces of nature. The system and method can analyze duration and magnitude of vibration signals, and considering maps and known locations of devices, tracks and highways and historical data regarding each, use machine learning techniques to accurately classify the motion and provide real-time and predictive analysis.

The invention relates to an ultra short-term chaos prediction method for photovoltaic output power. The duration of the ultra short-term lasts from zero to four hours, and the method comprises the following steps: using the C-C method to obtain the optimal delay amount l and the optimal embedding dimension m for the time sequence of photovoltaic output power; reconstructing the phase space for the time sequence of the photovoltaic power; determining the predicted center phase space point Pk according to the phase space for the time sequence of the photovoltaic power; selecting the adjacent phase space point Pkj corresponding to the predicted center phase space point and calculating the weight Wj of the adjacent phase space point Pkj; according to the weight Wj of the adjacent phase space point Pkj, building a photovoltaic weight first-order local linear regression model; calculating the optimal linear fitting coefficient matrix; and calculating the predicted photovoltaic output power value according to the optimal linear fitting coefficient matrix. Compared with the prior art, the method of the invention does not have to obtain metrological data in advance and does not need to establish prediction models for different weather patterns. The model can be built simply. The prediction consumes a short time but higher prediction accuracy can be achieved.

The invention discloses a neural network and swarm hybrid calculation method for intelligent environment carrier robot floor identification. After various acquired data are clustered according to weather modes, based on different weather modes, fluctuating pressure sensor readings are subjected to FIR filtering processing, the readings are then transmitted to a data analysis module for neural network learning, and the accuracy and the real-time performance of floor identification are greatly improved. The vibration problem of data acquired by a pressure sensor can be greatly improved, and the height data signal analysis precision is greatly improved; universal adaptability is realized, and the method can handle elevator floor identification under each altitude, each geographical location and each weather condition; and the method is not limited to be used by the carrier robot in the elevator, floor estimation in a passageway can also be carried out, and the method can also be applied to fields such as overhead operation and unmanned aerial vehicles.

Systems and methods for weather impact prediction are provided. The system receives current weather information and identifies a region along an intended flight path with a weather pattern of moderate or low severity. The system uses the identified region and aircraft identification to search a source of historical weather incidents to find a weather incident entry match, defined as a co-occurrence of a matching aircraft type, matching weather pattern, and matching severity rating. The match is evaluated for (i) structural damage, (ii) performance degradation, (iii) exterior damage, and (iv) inspection requirements, and a predicted weather impact report is generated for the identified region, the predicted weather impact report includes one or more of (i) structural damage, (ii) performance degradation, (iii) exterior damage, and (iv) inspection requirements. The system displays the predicted weather impact report.

The invention relates to an LED panel light for simulating weather conditions. The LED panel light for simulating weather conditions comprises a light source plate, a power module and a control module, wherein N light bead groups are arranged on the light source plate; each of the light bead groups comprises a plurality of cool-colour light beads and a plurality of warm-colour light beads; the power module supplies power to the control module and light bead modules, and the power module comprises N power circuits; each of the power circuits outputs two kinds of current signals, the N1 current signal flows to a cool-colour light bead bunch, and the N2 current signal flows to a warm-colour light bead bunch; and the control module comprises a weather condition obtaining unit, a colortemperature control unit, a weather display control unit and a control unit. Hollow-out patterns for showing weather conditions are arranged on a diffusion plate, and the weather condition of the current state of the moment can be showed by illuminating the light bead groups corresponding weather patterns, coupled with light color temperature adjustments and through intermittent lighting of two kinds of different color temperature light beads to simulate the current moment color temperature, and the atmosphere of a room in the current weather condition is further improved.

The invention provides a trajectory prediction method and device for a reciprocating sounding system. The method comprises the following steps: determining the radius of a balloon when the system ascends or floats according to thermodynamic properties of inflation gas and balloon skin in combination with high-temporal-spatial-resolution atmospheric environment parameters predicted by a numerical weather mode; according to the first drag coefficient, the effective cross sectional area of the balloon and the volume of the balloon, determining the vertical acceleration of the system under the static atmosphere condition; according to the vertical acceleration and the mode high space-time atmospheric environment three-dimensional velocity field, predicting trajectory of a system in an ascending stage and a floating stage; and predicting the descending section trajectory according to the second drag coefficient and the atmospheric environment parameters. Therefore, the high-temporal-spatial-resolution atmospheric environment parameters, the high-temporal-spatial-resolution atmospheric three-dimensional velocity field, the drag coefficient with higher precision and the thermodynamic property which are predicted by directly adopting the high-resolution numerical weather mode improve the precision of trajectory prediction.