Honeywell International Inc.

Deepika Sandeep

Jayaprakash Meruva

Rajesh Babu Nalukurthy

Hariprasad Kozhikkotakathitta Veetil

Sundararaman Venkateswaran

Vishwanath Gupta

Prabhat Ranjan

Bhavesh Gupta

Navneet Kumar

Rohil Pal

A Building Management System (BMS) may be controlled in accordance with predicted occupancy using a trained model. A model is trained by providing the model with time stamped environmental data and corresponding time stamped occupancy data pertaining to a training building, wherein the time stamped environmental data is derived from one or more environmental sensors of the training building and the corresponding time stamped occupancy data is derived from one or more occupancy sensors of the training building. Once trained, the trained model is provided with time stamped environmental data for a use building that is derived from one or more environmental sensors of the use building. The trained model outputs a predicted occupancy value that represents a predicted occupancy count in the use building, and the BMS of the use building is controlled based at least in part on the predicted occupancy value.

Systems and methods for predicting occupancy for one building using a model trained at another building

Devices, systems, and methods for providing fire events pattern analysis and cross-building data analytics are described herein. One fire system maintenance system, includes a number of fire system detectors, a fire system control panel, and a gateway device all positioned within the facility, the gateway device having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device, the remote device having instructions to: analyze the collected fire system device health data to determine an event type for each device health event recorded in the collected data, predict future device health events, categorize the device health events based on their determined event type, and prioritize the categorized device health events based on the quantity of events categorized in each event type.

Fire events pattern analysis and cross-building data analytics

Devices, systems, and methods for providing predictive analytics of fire systems are described herein. One fire system maintenance system, includes fire system detectors, a fire system control panel, and a gateway device positioned within the facility and in communication with at least one of the fire system control panel or fire system detectors, the gateway having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device; the remote device having instructions to: analyze the collected fire system device health data to predict if the data contains any anomalies or deviations from an expected behavior; and a fire system maintenance solution application that identifies a nearest scheduled maintenance visit and associates a service item with the scheduled maintenance visit.

Predictive analytics of fire systems to reduce unplanned site visits and efficient maintenance planning

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Bengaluru, India

Deepika Sandeep