Abstract: A method of conditioning an environment includes generating, by a group feedback analysis system, a first comfort limit based on a first plurality of data points corresponding to user feedback of a group of users in an environment conditioned by an environmental conditioning system to identify the first comfort limit at a first extreme; generating, by the group feedback analysis system, a second comfort limit based on a second plurality of data points corresponding to user feedback of the group of users in the environment conditioned by the environmental conditioning system to identify the second comfort limit at a second extreme, the second extreme being opposite the first extreme; identifying, by the group feedback analysis system, a comfort region defined by the first comfort limit and the second comfort limit; and controlling the environmental conditioning system to maintain at least one environmental criterion within the comfort region.

Abstract: In some examples, a time-series data set can be analyzed and grouped in a fast and efficient manner. For instance, fast grouping of multiple time-series into clusters can be implemented through data reduction, determining cluster population, and fast matching by locality sensitive hashing. In some situations, a user can select a level of granularity for grouping time-series into clusters, which can involve trade-offs between the number of clusters and the maximum distance between two time-series in a cluster.

Abstract: In some examples, a time-series data set can be analyzed and grouped in a fast and efficient manner. For instance, fast grouping of multiple time-series into clusters can be implemented through data reduction, determining cluster population, and fast matching by locality sensitive hashing. In some situations, a user can select a level of granularity for grouping time-series into clusters, which can involve trade-offs between the number of clusters and the maximum distance between two time-series in a cluster.

Abstract: A method of conditioning an environment includes generating, by a group feedback analysis system, a first comfort limit based on a first plurality of data points corresponding to user feedback of a group of users in an environment conditioned by an environmental conditioning system to identify the first comfort limit at a first extreme; generating, by the group feedback analysis system, a second comfort limit based on a second plurality of data points corresponding to user feedback of the group of users in the environment conditioned by the environmental conditioning system to identify the second comfort limit at a second extreme, the second extreme being opposite the first extreme; identifying, by the group feedback analysis system, a comfort region defined by the first comfort limit and the second comfort limit; and controlling the environmental conditioning system to maintain at least one environmental criterion within the comfort region.

Abstract: A building fire situation awareness and evacuation support system includes a plurality of fire monitoring devices for monitoring development of a fire; a plurality of occupant monitoring devices for monitoring occupant distribution in different zones of the building; and a computation device in communication with the fire monitoring devices and occupant monitoring devices, the computation device estimating fire source location and a fire development trend in response to the fire monitoring devices and estimating occupant distributions in different zones of the building in response to the plurality of occupant monitoring devices; the computation device generating an evacuation strategy for occupants in response to the fire monitoring devices, occupant monitoring devices, estimated fire source location, estimated fire development trends, estimated occupant distributions and building structure information; wherein the evacuation strategy includes evacuation routes or evacuation directions.