1490 results about "Weather data" patented technology

A transmitter transmits time synchronized data via a pager / WiMax / 802.x access to a receiver system, wherein the receiver system is programmed to receive data for specific geographic locations. The geographic locations may be specified by the user or by the receiver system, and includes state, zip codes, towns, counties, towns, or cardinal regions. The receiver is able to find its location when outside its cell region and is able to synchronize to the data transmitted in the new cell region. Further, the receiver system is able to remotely monitor weather data and other information at a different location via wireless Internet or voice over IP. A transceiver may also be used to receive weather or alert data. In response to receiving data, the transceiver transmits the data to low powered devices in a house using a different frequency band than the frequency band it received the data.

A safety critical, time sensitive data system for projecting safety / mission critical data onto a display pair of Commercial Off The Shelf (COTS) light weight projection glasses or monocular creating a virtual 360° HUD (Heads Up Display) with 6 degrees of freedom movement. The system includes the display, the workstation, the application software, and inputs containing the safety / mission critical information (Current User Position, Total Collision Avoidance System—TCAS, Global Positioning System—GPS, Magnetic Resonance Imaging—MRI Images, CAT scan images, Weather data, Military troop data, real-time space type markings etc.). The workstation software processes the incoming safety / mission critical data and converts it into a three dimensional space for the user to view. Selecting any of the images may display available information about the selected item or may enhance the image. Predicted position vectors may be displayed as well as 3D terrain.

A method of providing data to a wireless information device, in which data supplied from a remote service provider is represented by an icon which is (a) automatically displayed within an application running on the device, and which (b) changes if the data alters, in order to alert the user to new data or to represent that new data. For example, a weather icon could be displayed in a calendar application if the device is being supplied or can access weather data. The weather icon changes dynamically to represent the weather on the particular day in the calendar; perhaps tomorrow's predicated weather

A method and system for predictively controlling environmental conditions of multiple occupancy zones in an occupancy space are provided. Occupancy and environmental conditions of each of the occupancy zones are detected and identified. The detected occupancy is stored in an occupancy database. Patterns of occupancy of each of the occupancy zones are determined using the occupancy database. Future occupancy of the occupancy zones is predicted based on the occupancy patterns of the occupancy zones. The environmental conditions of the occupancy zones are controlled based on the detected occupancy and / or the predicted future occupancy. The environmental conditions of the occupancy zones in the occupancy space are thereby predictively controlled by simultaneously incorporating an occupant's desired settings, existing and historical temperature data within the occupancy space, and weather data. The predicted occupancy can be combined with demand response signal and energy tier rates to make optimal conditioning decisions.

Systems and methods for modeling the behavior of an enclosure for use by a control system of an HVAC system are described. A model for the enclosure that describes the behavior of the enclosure for use by the control system is updated based on a weather forecast data. The weather forecast data can include predictions more than 24 hours in the future, and can include predictions such as temperature, humidity and / or dew point, solar output, precipitation. The model for the enclosure can also be updated based on additional information and data such as historical weather data such as temperature, humidity, wind, solar output and precipitation, occupancy data, such as predicted and / or detected occupancy data, calendar data, and data from the one or more weather condition sensors that sense current parameters such as temperature, humidity, wind, precipitation, and / or solar output. The model for the enclosure can be updated based also on an enclosure model stored in a database, and / or on enclosure information from a user. The model can be updated based on active testing of the enclosure which can be performed automatically or in response to user input. The testing can include heating and / or cooling the enclosure at times when the enclosure is not likely to be occupied.

A safety critical, time sensitive data system for projecting safety / mission critical data onto a display pair of Commercial Off The Shelf (COTS) light weight projection glasses or monocular creating a virtual 360° HUD (Heads Up Display) with 6 degrees of freedom movement. The system includes the display, the workstation, the application software, and inputs containing the safety / mission critical information (Current User Position, Total Collision Avoidance System—TCAS, Global Positioning System—GPS, Magnetic Resonance Imaging—MRI Images, CAT scan images, Weather data, Military troop data, real-time space type markings etc.). The workstation software processes the incoming safety / mission critical data and converts it into a three dimensional space for the user to view. Selecting any of the images may display available information about the selected item or may enhance the image. Predicted position vectors may be displayed as well as 3D terrain.

A system and method for managing energy consumption of a building system includes a source of actual energy consumption data, a source of actual weather data, and a database correlating discrete weather data values with expected energy consumption values for at least one component of the building system. A computer accesses the actual weather data, actual energy consumption data and database, wherein the computer compares the expected energy consumption values with actual energy consumption data and generates an output based on the comparison. The expected energy consumption values are generated for the discrete weather data values using an energy consumption model that functionally relates discrete weather data values and design information for the building system component.

A Heads-Up-Display (“HUD”) system for projecting safety / mission critical data onto a display pair of light weight projection glasses or monocular creating a virtual 360 degree is disclosed. The HUD system includes a see-through display surface, a workstation, application software, and inputs containing the safety / mission critical information (Current User Position, Total Collision Avoidance System—TCAS, Global Positioning System—GPS, Magnetic Resonance Imaging—MRI Images, CAT scan images, Weather data, Military troop data, real-time space type markings etc.). The workstation software processes the incoming safety / mission critical data and converts it into a three-dimensional stereographic space for the user to view. Selecting any of the images may display available information about the selected item or may enhance the image. Predicted position vectors may be displayed as well as three-dimensional terrain.

A method for providing location-based nowcast, comprises the steps of: a) initiation of a request, by an end-user, for a time evolution of user-selected nowcast weather parameters, the transmission of the request being made over a public communication network to a nowcast request processor; b) the determination of the end-user's actual location by the nowcast request processor; c) the nowcast request processor gathering raw weather data from data sources; d) processing the raw data into a time-series of nowcast parameter maps; e) extracting the time evolution of the user requested nowcast parameters from the time-series of nowcast parameter maps by positioning the end-user's location on said time series; and f) distributing the requested information to end-user regarding the user-selected nowcast parameters within the extracted time evolution.

A method of remotely performing a vehicle autostart function when starting a vehicle engine. A vehicle may be associated with a handheld communication device (HCD) using a vehicle mobile application (e.g., on the HCD). Using the application, a configuration of at least one vehicle function and autostart criteria may be received. The auto-start criteria may define a geographic area. It may be determined that the vehicle and the HCD are located within the geographic area at a time when it is desirable to autostart the vehicle. Weather data may be determined for the geographic area at that time. The vehicle's engine may be autostarted and at least one vehicle autostart function may be performed.

An Energy and Cost Savings Calculation System is provided that automates the determination of energy and cost savings due to energy conservation measures. The system provides Multi-Variant, Non-Linear (MVNL) load forecasting techniques, energy and cost savings calculations, and Weather Ranking. The load forecasting technique may accept numerous external parameters as input. The technique may use multiple Baselines. It may also use multiple Basic Reference Periods to reduce the load forecasting error. The load forecasting technique may utilize external parameters that are updated on a daily basis, such as dry bulb temperature, dew point temperature, solar condition, and interval meter data. The technique may use Baseline Extensions to perform forecasts and Reference Period Modifications to enhance accuracy. The system may calculate energy and cost savings using Complex Rates and time-of-use (TOU) energy data. The system may rank a plurality of sources providing weather data to identify the most accurate weather data.

Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A first computing device generates a set of thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The first computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather associated with the location of the building. The first computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building. The first computing device determines one or more temperature set points for the building based on the energy response and the minimal energy requirements. The first computing device transmits the one or more temperature set points to a thermostat of the building.

A method and system for evaluating crop performance obtains weather data for defined geographic locations within a geographic area. Historic soil data is obtained for the defined geographic locations within a geographic area. Historic yield data is obtained for the defined geographic area for a representative crop. Predictive data nodes are determined based on at least one of the obtained weather data, the historic soil data, and the historic yield data. Each node is associated with a certain range of average yields for a particular crop.

The present invention provides an irrigation control system in which a device (irrigation scheduler) automatically modifies irrigation schedules of installed irrigation controllers to affect irrigating of the landscape based on the water requirements of the landscape plants and comprises: providing an irrigation controller programmed to execute irrigations on watering days by closing an electrical circuit connecting the controller and at least one irrigation valve; providing an irrigation scheduler programmed to execute irrigations on substantially equivalent watering days as the irrigation controller; and the irrigation scheduler selectively interrupting the electrical circuit to control the execution of irrigations on watering days. Preferably the microprocessor uses either an ETo value or weather data used in calculating the ETo value to at least partially derive the improved irrigation schedule.

An irrigation control system and method for controlling irrigation based on weather data. Weather data such as wind, temperature, solar radiation, humidity, and rainfall, may be collected at one or more weather stations for a region. The weather data may be compiled on a computer and transmitted to a paging broadcast service. The weather data may then be transmitted by the paging broadcast service to controller interfaces associated with irrigation systems throughout the region. The controller interfaces may adjust irrigation controllers associated with the irrigation systems based on the weather data such that the proper amount of water is applied. This allows the water to be used more efficiently and the health of the landscape to be improved.

A weather update system, method, and device for providing and receiving weather data. The mobile computing device includes a processor and a location data receiver capable of establishing a geospatial location of the mobile computing device based on received data signals. The mobile computing device is configured to receive updated weather data in response to a threshold condition having been, met, such as a threshold distance having been traveled by the mobile computing device or a threshold time having elapsed. The mobile computing device is also configured to receive weather alerts. The system includes a weather data server network configured to receive current and forecasted weather data for a plurality of locations and times, stored in a high-resolution grid structure and including current locations of a user devices or favorite locations for users. The weather data server network is configured to transmit weather data for the geospatial location of a mobile computing in response to a threshold condition having been met. The system also has an interactive map configured to enable a user to select a location for which the user would like to receive weather data and to store such locations as favorites.

Multi-step statistical modeling in one embodiment of the present disclosure enables anomaly detection, forecasting and / or root cause analysis of the energy consumption for a portfolio of buildings using multi-step statistical modeling. In one aspect, energy consumption data associated with a building, building characteristic data associated with the building, building operation and activities data associated with the building, and weather data are used to generate a variable based degree model. A base load factor, a heating coefficient and a cooling coefficient associated with the building and an error term are determined from the variable based degree model and used to generate a plurality of multivariate regression models. A time series model is generated for the error term to model seasonal factors which reflect monthly dependence on energy use and an auto-regressive integrated moving average model (ARIMA) which reflects temporal dependent patterns of the energy use.

A weather data aggregation and display system for displaying weather radar information to a pilot of a member aircraft of an airborne network of member aircraft. The weather data aggregation and display system includes an airborne network system (ANS) positioned on the member aircraft adapted to receive incoming geo-referenced weather data regarding Significant Meteorological Systems (SMS) from associated airborne network systems positioned on other member aircraft. A data processing system (DPS) is coupled to the airborne network system for generating the member aircraft's perspective of the SMS, based on the incoming weather data and the member aircraft's navigation and attitude information. The DPS provides DPS output weather data. An airborne display system (ADS) is positioned on the member aircraft and coupled to the data processing system. The airborne display system is adapted to receive the DPS output weather data and in response thereto display desired weather imagery of the Significant Meteorological Systems. The ANS is adapted to re-transmit the incoming geo-referenced weather data to associated airborne network systems positioned on other member aircraft.

A method and system of evaluating crop performance facilitates characterization of the environmental impact of a geographic region or areas within the region for growing plant-life. Environmental measurements are obtained. The environmental measurements are associated with a geographic region. Each environmental measurement includes at least one of soil data and weather data. Respective location data is obtained. The location data is associated with corresponding environmental measurements. An estimated performance characteristic is determined for a particular crop planted in the geographic region based on the obtained environmental measurements and respective location data. Contours are established for one or more uniform performance areas with generally uniform performance characteristic within the geographic region by applying a decision-tree analysis to the obtained environmental measurements.

A method of controlling energy consumption in a building. The method includes receiving occupant request data comprising a plurality of requests, wherein each of the plurality of requests corresponds to one of a plurality of zones in the building wherein the occupant request data is received via a cloud computing resource. The method also includes receiving weather data comprising at least one of current weather measurement data and weather forecast data wherein the weather data is received via a cloud computing resource. In addition, a facility management rule is received via a cloud computing resource. Further, the method includes generating a plurality of output control signals via cloud computing resource, wherein each of the plurality of output control signals is based on one of a plurality of requests and predicted occupant schedules, energy price data and the facility management rule. The control signals are generated by using simulation-based model predictive control method to determine a set of optimized control signals based on optimized energy use or optimized energy cost. The optimized control signals are transmitted to controllers.

A system and method designed to optimize the delivery of information on demand via wired or wireless connections. Dynamic information such as weather data can be delivered as compressed text, images, charts, buoy data, radar, GRIB files, and many more formats. Numerous continuously updated products can be delivered to a user of a client application on demand by the push of a button. The user can generate a batch folder having a list of data products to download. The data list in the batch folder can be requested from a server using a single command. The system and method can be configured to immediately connect to a server via a wireless connection or email, including satellite phone and HF / Pactor Radio, and downloads the requested data. After the download the client can be configured to automatically display the requested data.

A system and method for accessing and displaying weather information are shown. A weather station (102) collects weather information data from sensors (108-114) using a collection program and assembles the data as a data string in a memory. A station access system (140) is used to call the weather station through the Internet (150) and a wireless cellular digital packet data system (154). The weather station downloads the weather data string to a data base (164). A user contacts the access computer through the Internet using his personal computer (170) to ask for the weather information. The information is compiled from the data base and transmitted to the user's display (172) over the Internet. A user such as a farmer can also supply the system with his particular field and crop conditions and the system will apply the conditions to the weather information and return customized crop production and control information to the farmer over the Internet.

A method and system for evaluating crop performance obtains weather data and soil data for a defined geographic area. Further, management data is obtained, where the management data is associated with a particular agricultural crop affiliated with the defined geographic area. At least one of the obtained weather data, the obtained soil data, and the obtained management data is evaluated in comparison to reference weather data, reference soil data, and reference management data. The estimated performance level of a performance characteristic is determined for the particular crop associated with at least a portion of the defined geographic area based upon the evaluation.

A system generates optimal global set points for an environmental management system. The system comprises a system model for modeling components of a thermal plant, an objective function for modeling a parameter of the thermal plant, and an optimization engine for optimizing the parameter modeled by the objective function. The system model is coupled to an input data collector for receiving building data and weather data corresponding to a particular site. The system model includes models for thermal plant system components that may be implemented using classical models or artificial intelligence models. Classical models are those models that are implemented using linear programming, unconstrained non-linear programming, or constrained non-linear programming methodologies. The artificial intelligence models are those models that may be implemented using a fuzzy expert control system with crisp and fuzzy rules, genetic algorithms for optimization, or neural networks.

An irrigation control module is described that adjusts a watering schedule for a connected irrigation controller based on weather data provided by a local weather station. The irrigation control module can add additional weather-based irrigation schedule adjustments to an irrigation controller that may otherwise lack the hardware (e.g., wireless transmitter, sufficient memory) and software (e.g., evapotranspiration algorithms) to store and interpret weather data from a weather station.

A method of predicting weather-exacerbated threats, said method comprising inputting localized weather measurement data into a weather threat prediction system; predicting future localized weather conditions based on said localized weather measurement data combined with modeling from large scale weather data including National Weather Service Data; inputting natural environment and infrastructure data into said weather threat prediction system; correlating said infrastructure data with said predicted future localized weather conditions; and determining a threat level index over a region, a threat level indicating an area having a certain probabilistic likelihood of being harmed by said future weather conditions.

A lightning detection system for detecting and locating an initial discharge of an initial leader stroke of a lightning flash. An initial lightning discharge produces a pulse that can be used to accurately detect lightning, and more particularly, the location of the initial lightning discharge. In one embodiment, at least three sensors detect and determine the location of the first pulses from initial lightning discharges using time difference of arrival information of the pulses at each of the three sensors. In another embodiment, a single sensor is used to determine the range of an initial lightning discharge from the amplitude of a corresponding initial detected pulse, and to determine the direction from a crossed loop antenna An alternative embodiment of a single sensor system determines a distance of a lightning event from a peak amplitude value derived from a pulse amplitude distribution. In a further embodiment, a lightning detection system provides enhanced lightning location by incorporating weather data from a weather radar with detected lightning information.

A framework for combining a weather risk analysis with appropriate operational rules includes a data initialization component, a rules processing component, and one or more weather risk analysis and assessment tools to evaluate a flight condition. The framework applies current, historical, predicted and forecasted weather data to the one or more operational rules governing a mission, a payload, a flight plan, a craft type, and a location of the mission for aircraft such as an unmanned aerial vehicle or remotely-piloted vehicle, and generates advisories based on the evaluation of flight conditions such as a mission compliance status, instructions for operation of unmanned aircraft, and management advisories. The flight condition advisories include either a “fly” advisory or a “no-fly” advisory, and the framework may also provide a mission prioritization and optimization system.

A method is provided for providing weather data to a vehicle comprising the steps of: (a) receiving a broadcast signal containing weather data referenced to a plurality of cells arranged in a grid corresponding to a geographic map; (b) determining the present location, speed, and direction of the vehicle; (c) calculating a geographic region for which the weather data will affect the vehicle user based upon the current location, speed, and direction of the vehicle; (d) filtering the weather data to yield filtered data comprising at least one of the plurality of cells correlated to the previously calculated geographic region; and (e) formatting the filtered data for display to vehicle occupants.