Honeywell International Inc.

Intel Corporation

Prabhat Ranjan

Jerry Marti

Barnali Chetia

Bhavesh Gupta

Zhongshengyun Gao

Christopher D Martin

Liana Maria Kiff

Ajay N Nair

Gutha Stalin Sanghamitra

Wei Hua

Sheeladitya Karmakar

Liwen Yu

Upender Paravastu

Robert Klamka

James Barrette

Gunjan Chanduka

Foong Yeen Chan

Ripunjeet Dutta

Ashu Rawat

Manish Sharma

Bandi Narayanaswamy

Magesh Lingan

Mayur S Salgar

Grant T Patterson

Rajat Saha

Sundaramoorthi Thangavel

Ajo Paul

Jegathesan Shennakesavan

Rob Warner

Midhun Naga Kumar Jonnadula

Prashant Gupta

Michael Haling

Debra Lynn Pugel

Nithin Yadalla Ramgopal

Raushan Kumar Ravi

Jitendra Jain

Manish Satyapal Gupta

Manu Taranath

Christopher Goh

Nagasree Poluri

Rajkumar Palanivel

Ranjul Balakrishnan

Michelle Raymond

Adam Gibson

Ben Coleman

Kendall Paix

Aaron D'Souza

Venugopala Kilingar Nadumane

Naveen Kumar Dindukurthi Sivaprasad

Thomas Gall

Roman Meltser

Deepika Sandeep

Kelvin Towler

Nilesh Mahadeorao Akode

Sreedharan Venkataraman

Gregory W Howard

Mahesh Tripathy

Gregory Howard

Arun Katoch

Narayanaswamy Bandi

Shivani R Jain

Boon Toh

Henrik Dibowski

Rohil Pal

Jeff Lawry

Michele Berlot

Sophie Burkart

Shreya Ratakonda

Navneet Kumar

Nitish Chopra

Sherene Kuruvilla

Khushrav Writer

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

A multi-site Building Management System (BMS) monitors performance of a local BMS at each of a plurality of remote sites. The multi-site BMS includes a controller that is configured to determine a plurality of local performance metrics associated with each local BMS based on the operational data received from each local BMS and to aggregate like ones of the plurality of local performance metrics, resulting in a plurality of aggregated performance metrics. The controller is configured to display on the display a plurality of panels, to display in each of the plurality of panels the corresponding one of the plurality of aggregated performance metrics and to display in each of the plurality of panels a ranking of one or more of the remote sites by their corresponding local performance metric.

Dashboard for multi site management system

Appropriate ventilation for a building space while maintaining building comfort includes tracking one or more interior environmental conditions within the building space and one or more exterior environmental conditions outside of the building space during operation of the HVAC system. An environmental model for the building space is learned over time based at least in part on these tracked environmental conditions, where the environmental model predicts an environmental state of the building space in response to operation of the HVAC system under various interior and exterior environmental conditions. A maximum allowed ventilation rate that can be achieved without causing the HVAC system to compromise on any of one or more comfort conditions of the building space is predicted using the environmental model. The outdoor air ventilation damper of the HVAC system is then controlled to provide an appropriate ventilation up to or at the predicted maximum allowed ventilation rate.

Dynamic ventilation control for a building

In one embodiment, an apparatus includes a circuit board having a parallel bus with a first trace and a second trace, a first inductive coil coupled to the first trace, and a second inductive coil coupled to the second trace. The first and second inductive coils are arranged to inductively couple with one another to reduce cross talk effects in the parallel bus.

Inductive coupling structures for reducing cross talk effects in parallel bus technologies

A system reduces risk of pathogen exposure within a space that is located within a facility having a plurality of spaces that periodically have one or more people within the space. The system includes one or more occupancy sensors that are configured to provide an indication of when the space is occupied and when the space is not occupied. A sanitizer is configured to sanitize surfaces within the space when activated. A controller is operably coupled with the one or more occupancy sensors and the sanitizer. The controller is configured to determine a designated time to sanitize the space based at least in part upon information received from the one or more occupancy sensors and to automatically instruct the sanitizer to sanitize surfaces within the space at the designated time.

Systems and methods for reducing risk of pathogen exposure within a space

A method for determining an energy score for a guest room of a hotel having a plurality of guest rooms includes identifying two or more energy saving conditions associated with the guest room under which there is an opportunity to save energy when controlling the guest room without sacrificing guest comfort. The guest room is controlled in a designated energy savings mode when one or more of the energy savings room conditions are detected, and controlling the guest room in a guest comfort mode when none of the energy savings room conditions are detected. An energy score for the guest room is determined based at least in part on a measure of reliability of detecting the two or more energy savings conditions of the guest room, and thus the ability to take advantage of the opportunities to save energy when controlling the guest room.

Methods and systems for evaluating energy conservation and guest satisfaction in hotels

Devices, methods, and systems for monitoring and/or assessing compliance with infectious disease guidance for reducing infectious disease transmissions are described herein. The systems may include sensing devices at or within a facility and computing devices to compare data based on outputs from the sensing devices with guidance and/or recommendations for mitigating infectious disease transmission. Various compliance parameters may be identified as being relevant to the guidelines and measurable with outputs from the sensing devices. Various compliance parameters may be identified as being relevant to the guidelines, but not measurable with outputs from the sensing devices. The compliance parameters may be individually scored or scored in groups, including the compliance parameters not measureable with outputs from the sensing devices, and a score relative to a facility or group of facilities may be provided. The scores may be presented to via a dashboard.

Devices, systems, and methods for assessing facility compliance with infectious disease guidance

A system for monitoring a building automation system (BAS). The systems may include a device to report data, a memory having an application that requires that the data from the device be reported at least at a minimum frequency, and a controller to receive the data from the device at least at the minimum frequency and use the application and the data to determine an operational status of a component of the BAS.

Building automation system monitoring

Operating heating, ventilation, and air conditioning systems using occupancy sensing are described herein. One device includes instructions which cause a processor to receive building information including information defining a plurality of spaces of a building, occupancy sensing system information describing a location of each of a plurality of occupancy sensing system fixtures with respect to a representation of the building, and heating, ventilation, and air conditioning (HVAC) system information describing a relationship between the plurality of spaces and a plurality of HVAC devices installed in the building, create a mapping between a space of the plurality of spaces, a fixture of the plurality of fixtures, and an HVAC device of the plurality of HVAC devices based on the building information, and modify an operation of the HVAC device based on the mapping and responsive to a determination of occupancy in the space by the fixture.

Extracting and publishing point data from a building site model

Devices, methods, and systems for controlling a plurality of devices and equipment installed at a building. A system or common model of the devices and equipment at the building may be accessible by a technician during setup of a BMS for a building. The system model may enforce standardized device names and standardized point names that may be hardware agnostic for the plurality of devices and equipment installed at the building. A gateway in communication with the installed devices and equipment, along with a computing device storing the system model, may receive point information from the installed devices and equipment and convert the received point information into hardware agnostic point information. The gateway may receive hardware agnostic control commands from the system model and convert the hardware agnostic control commands into hardware specific control commands.

Platform agnostic systems and methods for building management systems

A computer system provides a method for analyzing various parameters, variables and/or conditions associated with the operation of HVAC systems. Some example computer systems display a coordinate system with multiple graphs of variables and conditions having disparate units of measure, such as degrees Centigrade, percent, ppm, on/off, etc. In some examples, variables and conditions with similar units of measure are grouped together. The groups of similar units are plotted along different segments of the coordinate system's y-axis. The segments and their respective graphs of similar units are distributed vertically, one above the other. All of the graphs, however, share a common x-axis, which is labeled in units of time. This makes it easier to visually compare multiple, disparate variables and conditions at particular points in time. When an HVAC related problem occurs, the visual comparisons can help identify the problem and its source.

Systems and methods for monitoring operation of an HVAC system

Rule-based modeling for building control systems is described herein. One device includes a memory, a user, interface, and a processor configured to execute executable instructions stored in the memory to display, in a single view on the user interface, a listing of all components of a facility controlled by a building control system, display, in an additional view on the user interface, a number of rules for mapping the components of the facility to a common model of the building control system, map the components of the facility to the common model by applying the number of rules to the components of the facility, and display, in the additional view on the user interface, the components of the facility that have been mapped to the common model.

Rule-based modeling for building control systems

A self-guided robot (bot) mechanism. An example bot may have a channel having an input for users, a cloud platform connected to the channel, a bot framework connected to the cloud platform, a web services module connected to the bot framework, and one or more drivers connected to the web services module. The one, the bot framework, the web services module and the drivers may be electronic hardware devices that effect their respective functions with a level of software managed and manipulated by the devices according to their respective algorithms.

System using natural conversation for monitoring a facility

Growing community of inventors

Bengaluru, India

Prabhat Ranjan