A handheld monitoring and early warning device for Fusarium head blight of in-field wheat includes an acquisition card, a processor, a camera, a touchscreen, a power supply, and a 4G network card. The acquisition card is configured to acquire data. The processor is configured to analyze the acquired data, to obtain the growth of wheat based on a deep learning algorithm. The camera is configured to acquire root, stem, and ear information of in-field wheat. The touchscreen is a medium configured to perform human-computer interaction. The power supply is configured to supply power to the monitoring and early warning device. The 4G network card is configured to perform data communication and at the same time communicate with an external cloud server. Further disclosed is an early warning method of a handheld monitoring and early warning device for Fusarium head blight of in-field wheat.

The present disclosure generally relates to validation processes in wind turbines, as well as controllers and wind turbines implementing the same. In one aspect, a method of validating smoke detection in a smoke detection system includes receiving an indication of smoke detection, determining a first temperature of a temperature sensor, and beginning a heat validation operation. The heat validation operation includes initiating a timer after determining the first temperature, and determining if a current temperature of the temperature sensor has increased a predefined amount relative to the first temperature. If the current temperature of the temperature sensor has increased a predefined amount relative to the first temperature, performing at least one of tripping a switchgear and activating an alarm.

The present disclosure generally relates to validation processes in wind turbines, as well as controllers and wind turbines implementing the same. In one aspect, a method of validating smoke detection in a smoke detection system includes receiving an indication of smoke detection, determining a first temperature of a temperature sensor, and beginning a heat validation operation. The heat validation operation includes initiating a timer after determining the first temperature, and determining if a current temperature of the temperature sensor has increased a predefined amount relative to the first temperature. If the current temperature of the temperature sensor has increased a predefined amount relative to the first temperature, performing at least one of tripping a switchgear and activating an alarm.

The present invention relates to a power plant early warning device and method which employ a multiple prediction model, and includes: a plurality of prediction models which receive information about the operation states of equipment in a power plant, and output prediction values and the reliabilities of the prediction values; a reliability analysis module which quantizes and analyzes the reliabilities output from the plurality of prediction models to determine the ranks of the plurality of prediction models, and calculates a final prediction value; a comparison module which compares the final prediction value with an actual measurement value, and outputs a residual; and a determination module which analyzes the residual to determine whether there are defects in the operating states of the equipment in the power plant.

Presenting aggregate data, comprising aggregate data elements, in a chart in a graphic user interface (GUI) of a computer, each aggregate data element based on component data and corresponding to a particular time, and the chart characterized by a first axis scaled in time, a second axis orthogonal to the first axis and scaled in units of the aggregate data, and a plurality of aggregate data element symbols, each symbol positioned at a particular time along the first axis and having a value along the second axis corresponding to a particular value of the aggregate data element corresponding to the particular time. Receiving a selection of a symbol from the presented symbols. Indicating the received selection in the GUI. Displaying, in response to the received selection, the corresponding plurality of component data on or adjacent to the symbol.

Tools for fire monitoring are presented. One method includes an operation for accessing values of features for monitoring a fire in a region. The features include satellite images at a first resolution, vegetation information, and weather data. Further, each satellite image includes first cells associated with the geographical region and the first resolution defines a first size of each first cell. The method further includes generating a map of the geographical region comprising a plurality of second cells having a second size, which is smaller than the first size. Additionally, the method includes operations for estimating, using a machine-learning model, probability values for the second cells in the map based on the features, each probability value indicating if the second cell contains an active fire, and for updating the map based on the probability values for the second cells. The map is presented in a user interface.

The disclosed technology uses signaling devices and sensors that are distributed throughout a building in order to provide egress guidance to people located in a building when an emergency occurs. Such signaling devices can be located at or near doors, windows, and/or other junction points between different parts of a building (e.g., passageways between different rooms). Signaling devices can provide audio and/or visual information to people to guide them along a safe pathway that is selected to provide safe egress for the person, including anticipating and protecting the person from changing emergency conditions within the building.

A processor: transmits detection information detected by a first device and user information obtained by a second device to a network; determines that a first event occurred based on the detection information and the user information; determines content based on the first event; and notifies the user of the content by transmitting data indicating the content to the first or second device via the network after elapse of a given amount of time predetermined per event from an occurrence of the first event. The first event potentially causes a problem in at least one of a home, property, or physical body of the user, or a service expected by the user. The content is at least one of a product or service for addressing the problem, or insurance that provides compensation for damages incurred by the user if the problem were to actually occur.

A processor: transmits detection information detected by a first device and user information obtained by a second device to a network; determines that a first event occurred based on the detection information and the user information; determines content based on the first event; and notifies the user of the content by transmitting data indicating the content to the first or second device via the network after elapse of a given amount of time predetermined per event from an occurrence of the first event. The first event potentially causes a problem in at least one of a home, property, or physical body of the user, or a service expected by the user. The content is at least one of a product or service for addressing the problem, or insurance that provides compensation for damages incurred by the user if the problem were to actually occur.

The present invention provides a method for early warning of an abnormality sign of a device, which includes device importance and warning validity determination, and a system therefor. The method for early warning of the abnormality sign of the device comprises: a first step of determining by an early warning processing apparatus whether a device monitoring signal value exceeds a normal operation range by using a weight value on the basis of monitoring-parameter-specific importance data which has been previously analyzed by an operator; a second step of generating a warning by the early warning processing apparatus when the device monitoring signal value exceeds the normal operation range; and a third step of determining by a warning determination apparatus whether the generated warning is a valid warning, which is subject to a warning analysis and to be traced.