Abstract: Disclosed is a system which assists rescuers in efforts to locate persons in the event of potentially harmful condition in a structure. An example system includes a sensory node which gathers sensor data including occupancy data. The system uses the sensory node to gather and process condition data to establish normal behavioral characteristics of the data. Threshold levels are determined from this processing. An alert is transmitted when conditions are detected that fall outside those threshold levels. The alert includes information regarding the detected conditions, occupancy information, and structure data. An example system includes a portable device that receives the alert along with the information provided with the alert and uses that information to alert a user and provide a display that provides alert and occupancy data such that occupants of the structure can be located and provided with assistance if required.

Abstract: A method includes receiving data from a sensor over time. The data comprises a plurality of values that are each indicative of a sensed condition at a unique time. The method also includes determining a real-time value, a mid-term moving average, and a long-term moving average based on the data and determining a most-recent combined average by averaging the real-time value, the mid-term moving average, and the long-term moving average. The method further includes determining an upper setpoint by adding an offset value to the most-recent combined average and determining a lower setpoint by subtracting the offset value to the most-recent combined average. The method also includes transmitting an alert based on a determination that a most recent value of the data is either greater than the upper setpoint or lower than the lower setpoint.

Abstract: A method includes receiving data from a sensor over time. The data comprises a plurality of values that are each indicative of a sensed condition at a unique time. The method also includes determining a real-time value, a mid-term moving average, and a long-term moving average based on the data and determining a most-recent combined average by averaging the real-time value, the mid-term moving average, and the long-term moving average. The method further includes determining an upper setpoint by adding an offset value to the most-recent combined average and determining a lower setpoint by subtracting the offset value to the most-recent combined average. The method also includes transmitting an alert based on a determination that a most recent value of the data is either greater than the upper setpoint or lower than the lower setpoint.

Abstract: A method includes receiving data from a sensor over time. The data comprises a plurality of values that are each indicative of a sensed condition at a unique time. The method also includes determining a real-time value, a mid-term moving average, and a long-term moving average based on the data and determining a most-recent combined average by averaging the real-time value, the mid-term moving average, and the long-term moving average. The method further includes determining an upper setpoint by adding an offset value to the most-recent combined average and determining a lower setpoint by subtracting the offset value to the most-recent combined average. The method also includes transmitting an alert based on a determination that a most recent value of the data is either greater than the upper setpoint or lower than the lower setpoint.