Honeywell International Inc.

Srikanth Nagaraj

Jayaprakash Meruva

Magesh Lingan

Rajkumar Palanivel

Devanshu Dugar

Madhav V Kamath

Deepak Sundar Meganathan

Lalitha M Eswara

Chandrakantha C Reddy

Umesh Hosamani

Deepthi Sethuraman

Sangappa Paraddi

A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.

Datacenter dashboard with temporal features

An example may be found in a method of identifying one or more cooling units of a plurality of cooling units servicing a data center that has a reduced relative performance level relative to other of the plurality of cooling units. The method includes monitoring a performance level of each of the plurality of cooling units and comparing the performance level to that of neighboring cooling units. In response to determining that at least one of the respective cooling units has a reduced relative performance level, an alert is issued.

Methods and systems for prioritizing maintenance of cooling units of a data center

During a deployment phase, each worker that enters a secure area is identified. The behavior of each worker is monitored while the worker is in the secure area in order to develop an Artificial Intelligence (AI) model that is specific to each worker and is representative of at least part of the behavior of the corresponding worker in the secure area. During an operational phase, each worker that enters the secure area is identified. The behavior of each worker is monitored while the worker is in the secure area. The current behavior of each worker in the secure area is compared with the behavior represented by the AI model that corresponds to the worker. An alarm is raised when the current behavior of one or more workers diverges from the behavior represented by the AI model that corresponds to the worker.

Surveillance system for data centers and other secure areas

One or more environmental conditions within each of a plurality of server racks are received over time. One or more IT parameters representative of server load are received over time. A model is constructed that models how one or more of the environmental conditions within at least one of the server racks of the plurality of server racks responds to changes in one or more of the IT parameters. A future value of one or more environmental conditions within one or more of the plurality of server racks is predicted based at least in part on the model and the one or more subsequent received IT parameters. At least some of the environmental control equipment of the data center is proactively controlled based at least in part on the predicted future value of one or more of the environmental conditions within the one or more server racks.

System and method for proactively controlling an environmental condition in a server rack of a data center based at least in part on server load

A data center includes a plurality of tenants, with some of the server racks within the data center specifically assigned to each of the tenants. A monitoring system may be configured to generate unique tenant dashboards that allow each tenant to view a variety of different information pertaining to the server racks that are assigned to them without allowing other tenants to view their dashboards. The system is configured to generate the unique tenant view for each tenant based on tenant profile information collected by the data center as part of a tenant onboarding process and input into the first and second tenant profiles. The system reads the various parameters in the first and second tenant profiles and automatically generates the unique tenant dashboards for each tenant without having to make programming changes to other parts of the system.

Growing community of inventors

Bengaluru, India

Srikanth Nagaraj