SYSTEM AND METHOD FOR DIGITAL ENERGY METERING AND CONTROLLING APPLIANCES

• US 20160315470A1
• Filed: 12/09/2014
• Published: 10/27/2016
• Est. Priority Date: 12/10/2013
• Status: Active Grant

• Current Assignee: Yuvraj Tomar
• Original Assignee: Yuvraj Tomar
• Inventors: TOMAR, YUVRAJ
• Granted Patent: US 10,381,831 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01R 19/2513 Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
• CPC Class Codes: G01R 22/063 related to remote communication
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

The present invention provides a method for monitoring and controlling power consumption at plurality endpoints. The method comprises, receiving raw data from plurality of endpoints, processing the raw data received from the plurality of the endpoints, communicating the processed data to a database using one or more protocols, interpreting the processed data into one or more events, measuring the power consumed by the plurality of the endpoints using the interpreted data and controlling the power consumption of the plurality of the endpoints using one or more applications.

Claims

1. A method for centralised monitoring and controlling power consumption of end user devices in network, the method comprising steps of:

receiving a raw data from plurality of end points using a data collecting devices, wherein the plurality of end points are connected with a plurality of operating devices or end user devices;

measuring a plurality of operating and environmental parameters of the end user devices with a plurality of sensors;

collecting and storing the received raw data and the measured plurality of operating and environmental parameters in a data aggregator device;

processing the received raw data from the plurality of endpoints and the measured operating and environmental parameters with a microcontroller

interpreting the processed data into one or more events with the microcontroller unit;

measuring a power consumption of the plurality of end points using the microcontroller unit;

optimizing and controlling the power consumption of the plurality of end points based on a preset setting and the measured and processed operating and environmental parameters using the microcontroller unit, and

communicating the processed raw data and the measured operating, and environmental parameters for storage in a database using one or more communication protocols for future retrieval and usage.

2. The method according to claim 1, wherein the raw data includes a power consumption data, load data, power factor data, usage pattern over a monitoring time interval.

3. The method according to claim 1, is wherein the measured operating and environmental parameters includes a current consumption, voltage level, environment temperature, humidity, ambient light flux, meteorological conditions, infra sonic frequency data infrared transceiver data gesture data, voice input, magnetic contact sensor data motion sensor data, and door and window contact sensing data.

4. The method according to claim 1, wherein the processed raw data and the measured operating and environmental parameters are communicated using wireless and wired networks.

5. The method according to claim 1, wherein the processed raw data and the measured operating and environmental parameters are stored in a cloud and in a local gateway.

6. The method according to claim 1, wherein the end points are controlled in a centralised manner.

7. The method according to claim 1, wherein the microcontroller unit is stored with a plurality of applications to process the received raw data and measured operating and environmental parameters and to optimise and control the power consumption of the plurality of end points.

8. The method according to claim 1, wherein the power consumption is controlled through a web application or a mobile application or any third party application.

9. The method according to claim 1, wherein the step of processing the plurality of raw data comprises:

providing a unique global identifier for each endpoint device;

associating the data collected from the endpoint with the unique global identifier assigned to a respective end point device;

mapping each unique global identifier of the endpoint device with the processed data corresponding to the end point device on a gateway device and a cloud server.

10. The method as claimed in claim 1, further generates a historical data, and a statistical data related a to a sensor data input related to each end point device.

15. The system according to claim 1, wherein the raw data includes a power consumption data, load data, power factor data, usage pattern over a monitoring time interval, and wherein the measured operating and environmental parameters includes a current consumption, voltage level, environment temperature, humidity, ambient light flux, meteorological conditions, infra sonic frequency data, infrared transceiver data, gesture data, voice input, magnetic contact sensor data, motion sensor data, and door and window contact sensing data.

11. A system for monitoring and controlling power usage using one or more applications, the system comprising:

a plurality of data collecting devices connected to a plurality of end points connected to a plurality of operating devices or end user devices, wherein the plurality of data collecting devices receive a raw data from the plurality of operating devices;

a plurality of sensors for measuring a plurality of operating and environmental parameters of the end user devices;

a plurality of wired or wireless data aggregators for collecting and processing the raw data received from the plurality of end points and the plurality of measured operating and environmental parameters of the end user devices;

one or more gateway devices for communicating between the plurality of wired or wireless data aggregators;

a cloud server for processing the raw data received from the plurality of end points and the plurality of measured operating and environmental parameters of the end user devices received from one or more gateway devices to optimize and control a power consumption of the plurality of end user devices.

12. The system according to claim 11, wherein the wireless or wired data aggregator comprises:

a personal area network manager for controlling a communication between the plurality of end user devices; and

an end point interface manager and multiplexer, for interfacing with the plurality of the end points for collecting and forwarding the raw data received from the plurality of end user devices.

13. The system according to claim 11, wherein the gateway device comprises:

a cloud interface, in communication with the cloud database for accessing the data stored in the cloud database;

a timer, for invoking one or more timed and scheduled events;

a microcontroller in communication with the plurality of wired or wireless data aggregators, configured for processing the plurality of raw data and the plurality of measured operating and environmental parameters of the end user devices;

a control interface, in communication with the plurality of wired or wireless data aggregators, configured for interfacing with plurality of the end user devices;

an input/output interface, for transferring the collected data between an internal storage device and an external storage device;

a rule engine, for defining one or more actions on the plurality of the end user devices, wherein the plurality of actions are defined and estimated based on the plurality of raw data and the plurality of measured operating and environmental parameters of the end user devices;

a localized machine learning module for controlling the plurality of end user devices automatically, based on the actions defined corresponding to a usage patter; and

a micro web server, in communication with the plurality of communication devices, for modifying the rules defined by the rule engine.

14. The system according to claim 11, wherein the cloud server comprises;

a main data storage module, for storing the plurality of data received from plurality of wired or wireless data aggregators, the data received from the plurality of end user devices and the data received from the plurality of gateway devices;

an aggregate data storage module, for storing the aggregated data received from the main data storage module at periodic time intervals;

an off-line machine learning module, for controlling one or more endpoints automatically, by understanding the usage patterns and trends from a stored historical data;

a reporting and querying module, for generating reports and queries; and

API based interface, for defining a point of contact for all cloud related activities.