Energy-related information presentation system

• US 8,577,505 B2
• Filed: 01/27/2011
• Issued: 11/05/2013
• Est. Priority Date: 01/27/2010
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Foslien, Wendy, Gall, Thomas, Trout, Rob, Mayher, Jake, Majewski, Joseph S., Kleinhans, Paul, Mohamed, Ayman
• Primary Examiner(s): Masinick, Michael D
• Application Number:
  US13/015,545
• Publication Number:
  US 20110184563A1
• Time in Patent Office: 1,013 Days
• Field of Search: 700/275, 702/181
• US Class Current: 700/275
• CPC Class Codes: B60H 1/00985 Control systems or circuits characterised by display or indicating devices, e.g. voice simulators characterised by the input of sound using a voice synthesizer B60H1/00757; B60H1/00978 takes precedence
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: G01D 4/002 Remote reading of utility meters
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/0426 Programming the control sequence
• CPC Class Codes: G05B 2219/23171 Display dynamic change of process, animation
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05B 2219/39361 Minimize time-energy cost
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00001 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02P 90/82 : Energy audits or management systems therefor
• CPC Class Codes: Y04S 20/244 : the home appliances being or involving heating ventilating and air conditioning [HVAC] units

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.

Claims

1. An energy-related information presentation system comprising:

a processor; and

one or more detectors for obtaining data on instances of heating, ventilation and air conditioning and/or lighting equipment at one or more sites of an enterprise; and

wherein;

the one or more detectors are connected to the processor;

the processor receives the data from the one or more detectors on instances of the heating, ventilation and air conditioning and/or lighting equipment at the one or more sites;

the processor outputs a normalization of the equipment across the one or more sites based on data on instances of the equipment;

an instance of the equipment is an RTU;

the normalization comprises alpha and beta factors;

the alpha (α

) and beta (β

) factors are used to build the normalization for instances of the equipment of the one or more sites;

2. The system of claim 1, wherein the processor outputs automated anomaly detection based on the normalization.

3. An energy-related information presentation system comprising:

a processor; and

one or more detectors for obtaining data on instances of heating, ventilation and air conditioning and/or lighting equipment at one or more sites of an enterprise; and

wherein;

the one or more detectors are connected to the processor;

the processor receives the data from the one or more detectors on instances of the heating, ventilation and air conditioning and/or lighting equipment at the one or more sites;

the processor outputs a normalization of the equipment across the one or more sites based on data on instances of the equipment;

the data from the one or more detectors provide a basis for a drill down to details of the heating, ventilation and air conditioning and/or lighting equipment;

the processor provides a dual layer approach to the normalization of the equipment across the one or more sites, using data of instances of the equipment to build the normalization;

the normalization comprises alpha and beta factors;

the alpha (β

) and beta (β

) factors are used to build the normalization for instances of the equipment of the one or more sites;

the alpha factor is used in the processor to normalize against an expected operation of the instances of equipment; and

the alpha factor aggregates run time of the equipment at a specified condition during a specified period.

4. The system of claim 3, wherein the processor, for the beta factor, aggregates alpha factors for virtually all instances of equipment on a site and provides the normalization based on a total capacity of the equipment at the site.

5. The system of claim 4, the processor, with the beta factor, compares sites against one another, with a normalization of an aggregation of alpha factors by a count of the instances of equipment for each site.

6. The system of claim 4, wherein:

the normalization is based at least partially on the data; and

the alpha and beta factors are operational measures driven by data of instances of the heating, ventilation and air conditioning and/or lighting equipment.

7. The system of claim 4, wherein the alpha and beta factors are used by the processor to evaluate abnormalities in operational procedures across an enterprise of the instances of equipment at the one or more sites of the enterprise.