A computer implemented method including receiving, by a monitoring system that is configured to monitor a property and from an electronic pool device that is configured to monitor a swimming pool at the property, sensor data, analyzing, by the monitoring system, the sensor data, based on analyzing the sensor data, generating, by the monitoring system, an instruction to activate a camera of the electronic pool device, providing, by the monitoring system to the electronic pool device, the instruction to activate the camera, receiving, by the monitoring system from the electronic pool device, image data, analyzing, by the monitoring system, the image data, based on analyzing the image data, identifying a monitoring system action to perform, and performing the monitoring system action.

Systems, methods, and devices for automatic signal detection in an RF environment are disclosed. A sensor device in a nodal network comprises at least one RF receiver, a generator engine, and an analyzer engine. The at least one RF receiver measures power levels in the RF environment and generates FFT data based on power level data. The generator engine calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of the FFT data. The analyzer engine creates a baseline based on statistical calculations of the power levels measured in the RF environment for a predetermined period of time, and identifies at least one signal based on the first derivative and the second derivative of the FFT data in at least one conflict situation from comparing live power distribution to the baseline of the RF environment.

Systems, methods, and devices for automatic signal detection in an RF environment are disclosed. A sensor device in a nodal network comprises at least one RF receiver, a generator engine, and an analyzer engine. The at least one RF receiver measures power levels in the RF environment and generates FFT data based on power level data. The generator engine calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of the FFT data. The analyzer engine creates a baseline based on statistical calculations of the power levels measured in the RF environment for a predetermined period of time, and identifies at least one signal based on the first derivative and the second derivative of the FFT data in at least one conflict situation from comparing live power distribution to the baseline of the RF environment.

A glove comprises a textile component and an electronic module component wherein the textile component comprises in order: a flame-resistant fabric having inner and outer surfaces, a first temperature detecting sensor located next to the inner surface of the flame-resistant fabric, at least one thermally insulating fabric having inner and outer surfaces, a second temperature detecting sensor located on the inner surface of the thermally insulating fabric that is closest to the skin of the wearer and an electronic module component capable of predicting body burns comprising a removable encapsulated electronic module located in a pocket of the glove.

A glove comprises a textile component and an electronic module component wherein the textile component comprises in order: a flame-resistant fabric having inner and outer surfaces, a first temperature detecting sensor located next to the inner surface of the flame-resistant fabric, at least one thermally insulating fabric having inner and outer surfaces, a second temperature detecting sensor located on the inner surface of the thermally insulating fabric that is closest to the skin of the wearer and an electronic module component capable of predicting body burns comprising a removable encapsulated electronic module located in a pocket of the glove.

Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.

Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.

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.

Disclosed is an early warning method for a shallow soil landslide based on a digital topographic map, belonging to the field of landslide prevention and control engineering. The method is characterized by comprising the following steps: a. connecting a straight line along an upward bulged intermediate point of a contour line of the topographic map as an intermediate line; b. determining an intermediate point; c. constituting a three-point group of a plane curvature; d. taking an arithmetic average of slopes as a slope a of a landslide mass; e. according to the distribution principle of topographic DEM data, assigning all points in each grid with the same values; f. taking an arithmetic average; g. calculating a topographic factor T of a potential landslide mass; h. calculating a rainfall factor R; i. calculating an early warning determination value P of the shallow soil landslide; j. performing early warning according to the early warning determination value P of the shallow soil landslide. The shallow soil landslide can be early warned without a lot of historical observation data of landslide occurrence, and the dangerous landslide mass can be determined in advance, which greatly improves the applicability of disaster prevention and the early warning efficiency.

Disclosed is an early warning method for a shallow soil landslide based on a digital topographic map, belonging to the field of landslide prevention and control engineering. The method is characterized by comprising the following steps: a. connecting a straight line along an upward bulged intermediate point of a contour line of the topographic map as an intermediate line; b. determining an intermediate point; c. constituting a three-point group of a plane curvature; d. taking an arithmetic average of slopes as a slope a of a landslide mass; e. according to the distribution principle of topographic DEM data, assigning all points in each grid with the same values; f. taking an arithmetic average; g. calculating a topographic factor T of a potential landslide mass; h. calculating a rainfall factor R; i. calculating an early warning determination value P of the shallow soil landslide; j. performing early warning according to the early warning determination value P of the shallow soil landslide. The shallow soil landslide can be early warned without a lot of historical observation data of landslide occurrence, and the dangerous landslide mass can be determined in advance, which greatly improves the applicability of disaster prevention and the early warning efficiency.