Disclosed is a method for distinguishing sunny-rainy weather based on time division long-term evolution network, including the following steps: acquiring sunny-rainy feature by extracting communication measurement statistics of time division long-term evolution network base stations in a certain area; establishing a training set according to that observation result of multiple statistical periods, multiple base stations and multiple rain gauges in the region; establishing a sunny-rainy discrimination model combined with machine learning binary classification algorithm, so as to realize the identification of rainfall events covered by a single base station; calculating the reliability of rainfall events at specific locations based on the comprehensive judgment results of multiple base stations.

A method, computer system, and a computer program product for payload stabilization is provided. The present invention may include, in response to receiving at least one sensor data associated with a suspended payload, detecting an unstable movement in the suspended payload during a transport of the suspended payload. The present invention may also include implementing at least one sail coupled to the suspended payload to stabilize the detected unstable movement of the suspended payload.

A method, computer system, and a computer program product for payload stabilization is provided. The present invention may include, in response to receiving at least one sensor data associated with a suspended payload, detecting an unstable movement in the suspended payload during a transport of the suspended payload. The present invention may also include implementing at least one sail coupled to the suspended payload to stabilize the detected unstable movement of the suspended payload.

The present disclosure describes structures, methods, and functionality for measuring a wind profile with networked anemometers. One method includes receiving real-time wind measurement data from each of one or more anemometer sensor platforms (ASPs) in a network, receiving atmospheric data, and calculating, using the received real-time wind measurement data and the received atmospheric data, at least one of real-time wind measurements, a wind profile, an average wind speed, or a weapon aiming offset.

The present disclosure describes structures, methods, and functionality for measuring a wind profile with networked anemometers. One method includes receiving real-time wind measurement data from each of one or more anemometer sensor platforms (ASPs) in a network, receiving atmospheric data, and calculating, using the received real-time wind measurement data and the received atmospheric data, at least one of real-time wind measurements, a wind profile, an average wind speed, or a weapon aiming offset.

A distributed weather system includes a storage, a plurality of wireless weather stations, a server, and an interface. Each of the plurality of wireless weather stations is associated with a user and has a battery, a location sensor generating location information, an anemometer generating apparent wind speed, a transmitter transmitting the location information with the apparent wind speed to a network at periodic intervals, and a receiver receiving control commands that include a length of the periodic intervals. The server receives the location information with the apparent wind speed and stores them in the storage. The interface is accessible by a mobile computer, and receives the control commands from a user and sends them to the receiver of the wireless weather station associated with the user. The interface displays a true wind speed for each of the plurality of wireless weather stations, which is calculated using the apparent wind speed, the location information, and historical location information.

A distributed weather system includes a storage, a plurality of wireless weather stations, a server, and an interface. Each of the plurality of wireless weather stations is associated with a user and has a battery, a location sensor generating location information, an anemometer generating apparent wind speed, a transmitter transmitting the location information with the apparent wind speed to a network at periodic intervals, and a receiver receiving control commands that include a length of the periodic intervals. The server receives the location information with the apparent wind speed and stores them in the storage. The interface is accessible by a mobile computer, and receives the control commands from a user and sends them to the receiver of the wireless weather station associated with the user. The interface displays a true wind speed for each of the plurality of wireless weather stations, which is calculated using the apparent wind speed, the location information, and historical location information.

The method includes receiving a value of a quantity of heat applied to at least a portion of a structure, said structure having a sensor surface exposed to the environment, receiving a temperature measurement of the sensor surface, receiving a wind speed measurement of the environment, receiving an ambient temperature measurement of the environment, determining a heat transfer projection of the sensor area using at least the wind speed measurement, the ambient temperature measurement, and one of the value of a quantity of heat and a target temperature of the sensor surface; comparing the heat transfer projection to an associated heat transfer value, and generating a signal indicating the icing condition status based on the comparison.

The method includes receiving a value of a quantity of heat applied to at least a portion of a structure, said structure having a sensor surface exposed to the environment, receiving a temperature measurement of the sensor surface, receiving a wind speed measurement of the environment, receiving an ambient temperature measurement of the environment, determining a heat transfer projection of the sensor area using at least the wind speed measurement, the ambient temperature measurement, and one of the value of a quantity of heat and a target temperature of the sensor surface; comparing the heat transfer projection to an associated heat transfer value, and generating a signal indicating the icing condition status based on the comparison.

Systems and methods are for determining and/or forecasting local atmospheric stability and/or turbulence. This information can be used to inform decisions regarding crop spraying, such as whether the atmospheric conditions are sufficiently turbulent to avoid airborne spray fines drifting in an undesirable manner. For example, a spray drift hazard alert system can include a data logger. The data logger is configured to: receive local meteorological observation data from one or more sensors at a location, analyze the data to determine a local vertical turbulence characteristic indicative of a current level of vertical turbulence at the location, compare the vertical turbulence characteristic with a predetermined threshold of the vertical turbulence characteristic, and transmit information to a client device indicating whether local meteorological conditions are suitable for crop spraying based on the comparison between the vertical turbulence characteristic and the predetermined threshold.