A method of air quality notification is disclosed. The method includes steps of providing a portable air quality monitoring device for monitoring air quality. The portable air quality monitoring device monitors the ambient air quality at a location in a monitoring period of time to generate a monitoring data, and has a GPS component to generate a position data of the location, both of them can be integrated as a notification data and delivered. A cloud data processing device is provided for receiving the notification data delivered from the portable air quality monitoring device, wherein the notification data is processed, calculated and converted to generate a push data, and the push data is delivered at a push period through a push notification service. A notification receiving device is provided for receiving the push data delivered from the cloud data processing device, so as to display the push data immediately.

A microcontroller configured to monitor the input voltage and load conditions, and continuously adjust the switching frequencies in order to optimize the efficiency and longevity of the power supply incorporated in a device. The microcontroller utilizes a combination of GaN switching elements with their efficient high frequency switching capabilities, together with the continuous monitoring of the load conditions, allowing the intelligent microcontroller to vary the switching frequency of the power conversion blocks as needed in order to maintain the highest efficiency of conversion. The microcontroller can be utilized to control a luminaire or other device into which the controller is preferably integrated. The microcontroller can utilize one or more environmental sensors configured for sensing internal environmental conditions and/or external environmental conditions. Preferably the microcontroller utilizes an energy storage device configured to power the microcontroller and associated sensors to allow the mesh network controls to continue functioning in the event of a power outage.

A microcontroller configured to monitor the input voltage and load conditions, and continuously adjust the switching frequencies in order to optimize the efficiency and longevity of the power supply incorporated in a device. The microcontroller utilizes a combination of GaN switching elements with their efficient high frequency switching capabilities, together with the continuous monitoring of the load conditions, allowing the intelligent microcontroller to vary the switching frequency of the power conversion blocks as needed in order to maintain the highest efficiency of conversion. The microcontroller can be utilized to control a luminaire or other device into which the controller is preferably integrated. The microcontroller can utilize one or more environmental sensors configured for sensing internal environmental conditions and/or external environmental conditions. Preferably the microcontroller utilizes an energy storage device configured to power the microcontroller and associated sensors to allow the mesh network controls to continue functioning in the event of a power outage.

A wireless sensing system includes a first tape node and a second tape node. The first tape node has a low-power wireless-communications interface and an environmental sensor operable to capture and transmit a first set of environmental data of at least one environmental characteristic to the second tape node. The second node includes an environmental sensor, a low-power wireless-communication interface, a first processor, and a first memory communicatively coupled with the first processor, the first memory storing machine-readable instructions that, when executed by the first processor, cause the first processor to: capture a second set of environmental data; compute an environmental differential between the first set of environmental data and the second set of environmental data; compare the environmental differential to a predetermined environmental threshold; and transmit a notification to a client application of the wireless sensing system running on a client device of the wireless sensing system when the environmental differential exceeds the predetermined environmental threshold.

A Portable Network-Connected Signaling and Reporting Device that attaches to a portable power source. includes a potentiometer that controls the pulse width modulation/strobing of the at least one LED. The device includes but not limited to aluminum and plastic housing with a substantially cylindrical exterior profile for attachment to a power source. At least one electrical connection from the circuit and the power source is embedded in the housing and exposed for connection to an external charging source. The Portable Network-Connected Signaling and Reporting Device permits at least 1 electrical slot for external sensors. The external sensors can be attached to the body of the Portable Network-Connected Signaling and Reporting Device.

A Portable Network-Connected Signaling and Reporting Device that attaches to a portable power source. includes a potentiometer that controls the pulse width modulation/strobing of the at least one LED. The device includes but not limited to aluminum and plastic housing with a substantially cylindrical exterior profile for attachment to a power source. At least one electrical connection from the circuit and the power source is embedded in the housing and exposed for connection to an external charging source. The Portable Network-Connected Signaling and Reporting Device permits at least 1 electrical slot for external sensors. The external sensors can be attached to the body of the Portable Network-Connected Signaling and Reporting Device.

The invention relates cloud based IoT network monitoring and validation to enable optimal network selection and connectivity for IoT sensors. The present invention relates to a system to measure the signal quality directly from the network module of IoT sensors. It comprises of an application programming interface (API) 105, a Network detection dongle 103, communication network 110, server 115, network modules of network operators and IoT sensors 120, to be deployed or installed. The invention also relates to a method for determination of signal strength from network module of IoT sensors, wherein the API 105 is configured to run network detection software to determine and validate an optimal location for IoT sensor/device installation or deployment based on the highest signal strength.

An early alert and location intelligence geographic information system (GIS) includes a plurality of Internet of Thing (IoT) devices and a GIS system. The GIS system tracks locations and movements of the IoT devices and is activated when an IoT device signals detection of a threat or an urgent medical need. Based on locations and escalating state changes of the IoT devices, alerts are provided to the IoT devices, and the threat location, a danger zone and a buffer zone are calculated and displayed on a mobile software application. Based on device proximity to the threat location, the GIS system communicates escape directions and shelter guidance to the mobile software applications of those affected. Smart alert escalations are provided as needed to security, law enforcement and medical personnel.

An early alert and location intelligence geographic information system (GIS) includes a plurality of Internet of Thing (IoT) devices and a GIS system. The GIS system tracks locations and movements of the IoT devices and is activated when an IoT device signals detection of a threat or an urgent medical need. Based on locations and escalating state changes of the IoT devices, alerts are provided to the IoT devices, and the threat location, a danger zone and a buffer zone are calculated and displayed on a mobile software application. Based on device proximity to the threat location, the GIS system communicates escape directions and shelter guidance to the mobile software applications of those affected. Smart alert escalations are provided as needed to security, law enforcement and medical personnel.

A system includes a processor, safety devices including a door-related safety device, and environmental condition detection sensors. The processor is configured to receive environmental condition sensor data from the at least one environmental condition detection sensor. An imminent occurrence of a threat event tis detected that would cause the damage a building. A risk analysis model analyzes threat event related environmental condition sensor data to predict a risk value that the at least one threat event would cause the damage to the at least one building and to generate risk mitigation actions that at least reduces the damage during the actual occurrence of the threat event. Prior to the actual occurrence of the threat event, respective risk mitigation instructions are transmitted to actuators that cause an operational state change of safety devices so as to at least reduce the damage to the building from the threat event.