Wendy Foslien - Woodbury MN, US Thomas Gall - Solon OH, US Rob Trout - Cuyahoga Falls OH, US Jake Mayher - North Olmsted OH, US Joseph S. Majewski - Strongsville OH, US Paul Kleinhans - Cuyahoga Falls OH, US Ayman Mohamed - North Royalton OH, US
Assignee:
HONEYWELL INTERNATIONAL INC. - Morristown NJ
International Classification:
G06F 1/28 G05D 23/00
US Classification:
700276
Abstract:
A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.
Thomas Gall - Solon OH, US Rob Trout - Cuyahoga Falls OH, US Jake Mayher - North Olmsted OH, US Joseph S. Majewski - Strongsville OH, US Paul Kleinhans - Cuyahoga Falls OH, US Ayman Mohamed - North Royalton OH, US
Assignee:
Honeywell International Inc - Morristown NJ
International Classification:
G05F 1/66
US Classification:
700276
Abstract:
A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.
- Morris Plains NJ, US Thomas Gall - Solon OH, US Rob Trout - Cuyahoga Falls OH, US Jake Mayher - North Olmsted OH, US Joseph S. Majewski - Strongsville OH, US Paul Kleinhans - Cuyahoga Falls OH, US Ayman Mohamed - North Royalton OH, US
A system and approach for diagnostic visualizations of, for example, building control systems data. A focus may be on a similarity metric for comparing operations among sites relative to energy consumption. Normalizing factors may be used across sites with varying equipment consumption levels to be compared automatically. There may also be a high level overview of an enterprise of sites. For instance, consumption totals of the sites may be normalized by site size and length of time of a billing period to identify such things as outlier sites. One may use a main view of geographic distribution dynamically linked to subviews showing distribution by size, by aggregated climate, and so on. With these views, one may quickly drill through the enterprise and identify sites of interest for further investigation. A key metric may be intensity which invokes viewing virtually all sites by normalized consumption for a unit amount of time.
Cairo University 2009 - 2014
Bachelors, Electronics, Engineering, Communications
Skills:
C++ Matlab C Debugging Code Canoe Capl Coding Misra Embedded Systems Unit Testing System Integration Testing Vectorcast Jira Plastic Polarion Spi Qac Configuring Autosar Using Vector Stack Python Pycharm Eclipse Ide Davinci Configurator Davinci Developer Ni Teststand Ni Labview Serena Run Qac Analysis Run Doxygen Report Knowledge With Sciopta Os Module Testing Hil/Sil Validation Testing Enterprise Architect Rational Dynamic Object Oriented Requirements System Debugging Usnig Winidea and Eclipse Static Code Analysis Using Coverity
Energy Engineer at Novar, Performance Contract/Energy Engineer at Novar / A Honeywell company
Location:
Cleveland/Akron, Ohio Area
Industry:
Mechanical or Industrial Engineering
Work:
Novar
Energy Engineer
Novar / A Honeywell company since 2008
Performance Contract/Energy Engineer
Ghafari Associates May 2006 - Aug 2007
Mechanical Engineer
Education:
Ferris State University 2003 - 2007
B.S., Heating, Vent, Air Cond and Refrigeration
Performance Contracting Engineer At Honeywell Automation And Control