Abstract: The present invention relates to a heating ventilation air conditioning (HVAC) monitor. The HVAC monitor queries a power database for historical and recovery power data and determines an average and daily power consumption of a customer premises. The HVAC monitor predicts the operational state of an HVAC system based on a comparison of the daily power consumption and average power consumption and triggers an alert for initiating remedial operations if the operational state of the HVAC system is below a performance threshold.

Abstract: A method and method to detect vegetation growth into a wireless signal path. Signal strength indicators for a signal that is transmitted from a transmitter at a second location are received from a receiver at a first location. The signal strength indicators are determined to be consistent with a progression of a decrease in received signal strength corresponding to a growth of vegetation growing into a wireless signal path between the first location and the second location. A recent signal strength indicator is determined to be below a threshold from a baseline received signal strength, and a notification of likely vegetation encroachment into the wireless signal path is provided based on the recent signal strength indicator being below the threshold and determining that the signal strength indicators are consistent with a progression of a decrease in signal strength corresponding to a growth of vegetation.

Abstract: Disclosed is a system and method for remote performance monitoring of a ventilation system. The method is independent of measuring electric meter current consumed or thermostatic data. The method uses two sensors to measure temperature and humidity. A first sensor is placed on a return grille, and a second sensor is placed on the supply grille. Using only data from the sensors, an on-off duty cycle is calculated. The on-off duty cycle is calculated for an on-time period during which the ventilation system is operating and an off-time period during which the ventilation system is not operating between the air as measured by the first sensor and the air as measured by the second sensor on the supply air grille. Machine learning with two or more datasets of the sensor data and the on-off duty cycle to indicate a component of the ventilation system is faulty.

Abstract: Systems and methods to control irrigation. An image of an area of vegetation is received from a video camera supporting security monitoring wherein the video camera provides image data to both a security monitoring system and an irrigation control system. Vegetation is identified in the image based on processing the image's pixel information. Respective colors of the vegetation are determined by further processing color information within the pixel information depicting the vegetation. Based on the respective color of the vegetation, a respective irrigation state of the vegetation is determined. An irrigation need is determined based on the respective determined irrigation state of the vegetation. Irrigation is provided to the vegetation independently of a set irrigation schedule.

Abstract: A method and method to detect vegetation growth into a wireless signal path. Signal strength indicators for a signal that is transmitted from a transmitter at a second location are received from a receiver at a first location. The signal strength indicators are determined to be consistent with a progression of a decrease in received signal strength corresponding to a growth of vegetation growing into a wireless signal path between the first location and the second location. A recent signal strength indicator is determined to be below a threshold from a baseline received signal strength, and a notification of likely vegetation encroachment into the wireless signal path is provided based on the recent signal strength indicator being below the threshold and determining that the signal strength indicators are consistent with a progression of a decrease in signal strength corresponding to a growth of vegetation.