ENERGY MANAGEMENT SYSTEMS AND METHODS

• US 20160327924A1
• Filed: 06/29/2015
• Published: 11/10/2016
• Est. Priority Date: 05/06/2015
• Status: Active Grant

• Current Assignee: Carrier Corporation (Carrier Global Corporation)
• Original Assignee: Wipro Limited
• Inventors: Nanjundaiah, Dattaguru Basavapatna, Mandala, Arun Chaitanya, Chandrasekharaiah, Guruprasad
• Granted Patent: US 9,952,575 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: H04H 60/23 using cryptography, e.g. encryption, authentication, key distribution
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 41/082 the condition being updates or upgrades of network functionality
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227

Abstract

This disclosure relates generally to energy management and more particularly to energy management systems and methods. In one embodiment, a method of communicating data within an energy management system is disclosed. The method includes performing energy management analytics on data collected from a plurality of devices in the energy management system. The method further includes transmitting a plurality of dynamically configurable data frames. Each dynamically configurable data frame comprising at least a portion of data collected from the plurality of devices and a result of the energy management analytics and being encrypted in a format that avoids transmission of a plurality of repetitive data parameters. The method includes decrypting the plurality of dynamically configurable data frames received to perform advanced analytics on the data and the result.

Claims

1. A method of communicating data within an energy management system, the method comprising:

performing energy management analytics on data collected from a plurality of devices in the energy management system;

transmitting a plurality of dynamically configurable data frames, each dynamically configurable data frame comprising at least a portion of data collected from the plurality of devices and a result of the energy management analytics and being encrypted in a format that avoids transmission of a plurality of repetitive data parameters; and

decrypting the plurality of dynamically configurable data frames received to perform advanced analytics on the data and the result.

2. The method of claim 1 further comprising collecting data from the plurality of devices based on availability of a plurality of libraries associated with the plurality of devices.

3. The method of claim 2 further comprising updating the plurality of libraries using Download Over the Air (DOTA), when a library associated with a device within the plurality of devices is missing.

4. The method of claim 1 further comprising creating the plurality of dynamically configurable data frames, creating further comprising:

converting the data and the result into at least one of a floating point arithmetic format and a positional number system format; and

sequencing of the data and the result in response to the converting based on configuration definition for creation of the plurality of dynamically configurable data frames.

5. The method of claim 4 further comprising encoding a positioning key in a dynamically configurable data frame to enable dynamic configuration, the positioning key being indicative of location of different data types within the dynamically configurable data frame.

6. The method of claim 1, wherein the plurality of repetitive data parameters comprise a device ID associated with each of the plurality of devices, values measured by each device, time stamps associated with the measured values.

7. The method of claim 1, wherein performing energy management analytics further comprises correlating a plurality of parameters associated with the data collected from the plurality of devices.

8. The method of claim 1, wherein the plurality of devices are selected from a group comprising energy meter, temperature sensors, and electrical appliances.

9. The method of claim 1 further comprising deleting a dynamically configurable data frame within the plurality of dynamically configurable data frames from a queue in response to receiving an Acknowledgement (ACK) for the dynamically configurable data frame.

10. The method of claim 1 further comprising presenting results of the advanced analytics performed on the data and the result to a user of the energy management system.

11. An energy management system comprising a plurality of devices, the energy management system comprising:

at least one processors; and

a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising;

performing energy management analytics on data collected from the plurality of devices in the energy management system;

transmitting a plurality of dynamically configurable data frames, each dynamically configurable data frame comprising at least a portion of data collected from the plurality of devices and a result of the energy management analytics and being encrypted in in a format that avoids transmission of a plurality of repetitive data parameters; and

decrypting the plurality of dynamically configurable data frames received to perform advanced analytics on the data and the result.

12. The energy management system of claim 11, wherein the operations further comprises collecting data from the plurality of devices based on availability of a plurality of libraries associated with the plurality of devices.

13. The energy management system of claim 12, wherein the operations further comprise updating the plurality of libraries using Download Over the Air (DOTA), when a library associated with a device within the plurality of devices is missing.

14. The energy management system of claim 11, wherein the operations further comprise creating the plurality of dynamically configurable data frames, the operation of creating further comprises:

converting the data and the result into at least one of a floating point arithmetic format and a positional number system format; and

sequencing of the data and the result in response to the converting based on configuration definition for creation of the plurality of dynamically configurable data frames.

15. The energy management system of claim 14, wherein the operation of creating further comprises encoding a positioning key in a dynamically configurable data frame to enable dynamic configuration, the positioning key being indicative of location of different data types within the dynamically configurable data frame.

16. The energy management system of claim 12, wherein the operation of performing energy management analytics further comprises operation of correlating a plurality of parameters associated with the data collected from the plurality of devices.

17. The energy management system of claim 12, wherein the operations further comprise deleting a dynamically configurable data frame within the plurality of dynamically configurable data frames from a queue in response to receiving an acknowledgement (ACK) for the dynamically configurable data frame.

18. The energy management system of claim 12, wherein the operations further comprise presenting results of the advanced analytics performed on the data and the result to a user of the energy management system.

19. A non-transitory computer-readable storage medium for communicating data within an energy management system, when executed by a computing device, cause the computing device to:

perform energy management analytics on data collected from a plurality of devices in the energy management system;

transmit a plurality of dynamically configurable data frames, each dynamically configurable data frame comprising at least a portion of data collected from the plurality of devices and a result of the energy management analytics and being encrypted in a format that avoids transmission of a plurality of repetitive data parameters; and

decrypt the plurality of dynamically configurable data frames received to perform advanced analytics on the data and the result.