Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for controlling a building management system are described herein. One method includes authenticating a user for access to a plurality of building management system (BMS) applications. The authentication can include determining an identity of the user, determining access rights of the user, and determining a location of the user. The method can include receiving building data from the user associated with at least one of the number of BMS applications that changes a building parameter.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: A system for monitoring thermal comfort of a room. Sensor data concerning temperature, relative humidity, air speed and air flow may be collected from the room. The sensor data may provide thermal comfort level information about the room. The level information may be quantified in terms of a thermal comfort level index, such as a predicted mean vote, which can be used to identify one or more thermal comfort levels in the room with a numerical measure. The one or more levels may be portrayed as a visualization in terms of a 3D plot of temperature, humidity and air speed, several 2D plots, a dashboard, or other items. The visualization may easily enable one to see where setpoint adjustment is possible in a heating, ventilation and air conditioning system to save energy while maintaining thermal comfort acceptable to occupants in the room, whether during a heating season or a cooling season.

Abstract: An approach for monetizing performance of building system equipment such as HVAC equipment. Expected and actual performance curves may be obtained for the HVAC equipment. Differences between the curves may indicate energy consumption. The energy consumption may be monetized. The monetizing may be of degradation that occurs when the equipment deteriorates, incurs a fault or has a loss of performance as accrued over time. Monetizing may incorporate maintenance and capital risk exposure. The monetizing may be a conversion of analyses of the equipment to money in real time. Performance monitoring of the equipment may incorporate predictive trending which may lead to fault prognosis and preventative maintenance. Automation of the conversion may result in immediate information and feedback to customers. The information may be stored for historical purposes and future analyses.

Abstract: A method for determining network topology of a provider network includes selecting a first network element, selecting a first port on the first network element, and iteratively performing connectivity validation tests using the first port, wherein each connectivity validation test is associated with a type of network element and yields a result that indicates whether a second port on a second network element of the associated type is connected to the first port. A system for discovering topology of a network, the system comprising a topology discovery engine in operable communication with a near network element and operable to identify a first port of a far network element that is connected to a second port of the near network element by remotely altering operation of the near network element to cause the second network element to respond in a manner that identifies the first port.

Abstract: An approach for monetizing performance of building system equipment such as HVAC equipment. Expected and actual performance curves may be obtained for the HVAC equipment. Differences between the curves may indicate energy consumption. The energy consumption may be monetized. The monetizing may be of degradation that occurs when the equipment deteriorates, incurs a fault or has a loss of performance as accrued over time. Monetizing may incorporate maintenance and capital risk exposure. The monetizing may be a conversion of analyses of the equipment to money in real time. Performance monitoring of the equipment may incorporate predictive trending which may lead to fault prognosis and preventative maintenance. Automation of the conversion may result in immediate information and feedback to customers. The information may be stored for historical purposes and future analyses.

Abstract: A system for monitoring thermal comfort of a room. Sensor data concerning temperature, relative humidity, air speed and air flow may be collected from the room. The sensor data may provide thermal comfort level information about the room. The level information may be quantified in terms of a thermal comfort level index, such as a predicted mean vote, which can be used to identify one or more thermal comfort levels in the room with a numerical measure. The one or more levels may be portrayed as a visualization in terms of a 3D plot of temperature, humidity and air speed, several 2D plots, a dashboard, or other items. The visualization may easily enable one to see where setpoint adjustment is possible in a heating, ventilation and air conditioning system to save energy while maintaining thermal comfort acceptable to occupants in the room, whether during a heating season or a cooling season.