Abstract: A system for monitoring a space external to the system is disclosed. The system includes a microprocessor, a memory coupled to the microprocessor, a sensor configured to detect at least one environmental parameter of the space external to the system and configured to generate a sensor signal derived from the at least one detected environmental parameter of the space and at least one port for communicating with a network. The memory includes instructions for processing the sensor signal derived from the at least one environmental parameter of the space external to the system and the memory including a web server application. The at least one port is responsive to the microprocessor. The web server application is configured to provide a webpage associated with the sensor signal via the at least one port.

Abstract: The application discloses an apparatus including at least one sensor configured to monitor environmental conditions ambient to rack mounted computer equipment and a housing configured for mounting to an equipment rack. The housing includes a processor responsive to the sensor, at least one network interface responsive to the processor and configured for communication with a distributed computing network, a web server configured to provide a web page associated with information derived from the sensor, an email module configured to send notification of events associated with the sensor, and a simple network management protocol module configured to communicate with computer equipment external to the housing.

Abstract: A system and method are disclosed for monitoring a space and its contents over a network. The system can include an embedded Java microprocessor to provide processing and network connectivity capability, and sensors to detect physical parameters associated with the space. The sensors can generate one or more sensor signals representative of the detected physical parameters. An analog-to-digital converter can convert the sensor signals to a digital format and can provide corresponding digital signals to the microprocessor. The system further includes instructions for processing the sensor signals and corresponding digital signals. An alarm signal can be generated when any of the physical parameters exceeds a corresponding threshold value. The system of the present invention can have at least one input/output port for communicating with the network and one or more memory modules for storing system data.

Abstract: The invention is directed to a network-enabled appliance. The appliance may aid the remote monitoring of various measured data. The device may monitor a variable or set of variables and output the data upon request. In addition, the appliance may issue alarms, alerts, warning and other notifications when a variable matches a setpoint or undergoes a specified change, deviation, and/or fluctuation. Further the appliance may be operable to communicate with other appliances. The communication may comprise periodic pinging of peer appliances. In this manner, a peer appliance may detect a failure in other network-enabled appliances when an anticipated ping is not received. Further, the communication may enable the establishment of a directory of capabilities of various appliances. In this manner, a group of appliances may perform more complex behaviors by grouping resources. Further, a group of appliances may act to reestablish the behavior of a failed device.

Abstract: The invention is directed to a network-enabled appliance. The appliance may aid the remote monitoring of various measured data. The device may monitor a variable or set of variables and output the data upon request. In addition, the appliance may issue alarms, alerts, warning and other notifications when a variable matches a setpoint or undergoes a specified change, deviation, and/or fluctuation. Further the appliance may be operable to communicate with other appliances. The communication may comprise periodic pinging of peer appliances. In this manner, a peer appliance may detect a failure in other network-enabled appliances when an anticipated ping is not received. Further, the communication may enable the establishment of a directory of capabilities of various appliances. In this manner, a group of appliances may perform more complex behaviors by grouping resources. Further, a group of appliances may act to reestablish the behavior of a failed device.

Abstract: A system and method are disclosed for monitoring a space and its contents over a network. The system can include an embedded Java microprocessor to provide processing and network connectivity capability, and sensors to detect physical parameters associated with the space. The sensors can generate one or more sensor signals representative of the detected physical parameters. An analog-to-digital converter can convert the sensor signals to a digital format and can provide corresponding digital signals to the microprocessor. The system further includes instructions for processing the sensor signals and corresponding digital signals. An alarm signal can be generated when any of the physical parameters exceeds a corresponding threshold value. The system of the present invention can have at least one input/output port for communicating with the network and one or more memory modules for storing system data.

Abstract: A system for monitoring a space external to the system is disclosed. The system includes a microprocessor, a memory coupled to the microprocessor, a sensor configured to detect at least one environmental parameter of the space external to the system and configured to generate a sensor signal derived from the at least one detected environmental parameter of the space and at least one port for communicating with a network. The memory includes instructions for processing the sensor signal derived from the at least one environmental parameter of the space external to the system and the memory including a web server application. The at least one port is responsive to the microprocessor. The web server application is configured to provide a webpage associated with the sensor signal via the at least one port.

Abstract: A multiple dimension vector-based occupancy sensor. One or more sensors (for example, ultrasonic and/or infrared sensors) are used to produce one or more occupancy estimator vectors. The individual dimensions of the one or more occupancy estimator vectors are combined using a fusion based detection algorithm to produce a combined estimator signal. The combined estimator is then used to switch electrical loads when the combined estimator signal is above a predetermined threshold. The result is an occupancy sensor that has a very high probability of occupancy detection and a low probability of false tripping.

Abstract: A system and method are disclosed for monitoring a space, and in particular, an enclosure, and its contents over a network. The system can include an microprocessor to provide processing and network connectivity capability, and sensors to detect physical parameters associated with the space. A converter can convert sensor signals to a digital format and provide the signals to the microprocessor. The system includes instructions for processing the signals. An alarm signal can be generated when any of the physical parameters exceeds a corresponding threshold value. The system of the present invention can have at least one port for communicating with the network and memory modules for storing system data. The system of this invention can have a network-based interface such as an HTML interface for providing programming instructions to the microprocessor and for receiving monitoring status and alarm information from the system.

Abstract: The invention is directed to a network-enabled appliance. The appliance may aid the remote monitoring of various measured data. The device may monitor a variable or set of variables and output the data upon request. In addition, the appliance may issue alarms, alerts, warning and other notifications when a variable matches a setpoint or undergoes a specified change, deviation, and/or fluctuation. Further the appliance may be operable to communicate with other appliances. The communication may comprise periodic pinging of peer appliances. In this manner, a peer appliance may detect a failure in other network-enabled appliances when an anticipated ping is not received. Further, the communication may enable the establishment of a directory of capabilities of various appliances. In this manner, a group of appliances may perform more complex behaviors by grouping resources. Further, a group of appliances may act to reestablish the behavior of a failed device.

Abstract: A multiple sensing technology-based occupancy sensor. Ultrasonic and infrared sensors are used to produce first and second occupancy estimator signals that are combined using a fusion based detection algorithm to produce a combined estimator signal. The combined estimator is then used to switch electrical loads when the combined estimator signal is above a predetermined threshold. The result is an occupancy sensor that has a very high probability of occupancy detection and a low probability of false tripping.

Abstract: A multiple sensing technology-based occupancy sensor. Ultrasonic and infrared sensors are used to produce first and second occupancy estimator signals that are combined using a fusion based detection algorithm to produce a combined estimator signal. The combined estimator is then used to switch electrical loads when the combined estimator signal is above a predetermined threshold. The result is an occupancy sensor that has a very high probability of occupancy detection and a low probability of false tripping. In addition, infrared sensitivity is adjusted based upon an estimation of the background noise in order to minimize the occurrence of false tripping.

Abstract: A multiple sensing technology-based occupancy sensor. Ultrasonic and infrared sensors are used to produce first and second occupancy estimator signals that are combined using a fusion based detection algorithm to produce a combined estimator signal. The combined estimator is then used to switch electrical loads when the combined estimator signal is above a predetermined threshold. The result is an occupancy sensor that has a very high probability of occupancy detection and a low probability of false tripping.