System and methods for monitoring and reducing the consumption of electricity with a network of smart sensors

• US 9,811,102 B2
• Filed: 07/31/2014
• Issued: 11/07/2017
• Est. Priority Date: 07/31/2014
• Status: Active Grant

• Current Assignee: Antonino Gulli, Aurora Gulli, Gulli', Leonardo Alessandro, Lorenzo Gulli
• Original Assignee: Antonino Gulli, Aurora Gulli, Gulli', Leonardo Alessandro, Lorenzo Gulli
• Inventors: Gulli', Antonino, Gulli', Lorenzo, Gulli', Leonardo Alessandro, Gulli', Aurora
• Primary Examiner(s): Karim, Ziaul
• Application Number:
  US14/448,489
• Publication Number:
  US 20160033985A1
• Time in Patent Office: 1,195 Days
• Field of Search: 700295
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

The present invention relates to a system and method for monitoring and reducing consumption of electricity with a network of smart sensors connected to either electrical devices and/or lights.

Claims

1. A system for monitoring and reducing the consumption of electricity with a network of smart sensors, the system comprising:

a control server configured to make suggestions on how to reduce consumption of electricity;

a network of sensors configured to;

(1) monitor consumption of electricity by each of a plurality of appliances, (2) change the applied voltage to at least one of said monitored appliances, (3) change the amperage to at least one of said monitored appliances and (4) control at least one of said monitored appliances by causing said appliance to reduce its power consumption by suspending non-critical functions and dimming light produced by said appliance,

wherein the plurality of appliances are smart electrical and/or electronic devices,

wherein one or more sensors from among said network of sensors are connected via a network connection to a control server where periodic power consumption monitoring occurs and power consumption data therefrom is stored in a database,

wherein said control server sends suggestions for reducing electricity to each of said sensors via said network;

wherein said power consumption data is reviewed according to a plurality of criteria, said criteria consisting of;

geographical location of each sensor, power consumption observed over an interval of time, time of the day, external light conditions, presence and/or the movement of people in the area monitored by the sensor, cost of electricity in a particular location, cost of electricity in a particular moment of the time, the consumption registered by that particular sensor, consumption registered by sensors in the network of sensors, consumption monitored by all sensors exceeding a desired total maximum, range of optimal voltage or amperage supported by an appliance, temperature registered by a sensor, and smoke condition registered by a sensor,

wherein optimized parameters for each sensor are generated based on results of said review of power consumption data,

wherein optimized parameters are provided to said plurality of sensors, and said optimized parameters cause said sensors to alter control of at least one of said appliances,

wherein Internet protocols, phone networks, or satellite networks are used to localize a geographical position of at least one of the sensors.

2. The system of claim 1, wherein one or more sensors can be placed into power outlets, power plugs, light adapters, bulb sockets, or directly embedded in one or more of the appliances of the plurality of appliances.

3. The system of claim 1, further comprising:

an intelligent system running on the control server, wherein the intelligent system analyses consumption data and provides suggestions for reducing consumption of electricity,

wherein machine learning based optimization criteria is used to reduce said consumption of electricity,

wherein said criteria are selected from the group consisting of;

geographical location of each sensor, power consumption observed over an interval of time, time of the day, external light conditions, presence and/or the movement of people in the area monitored by the sensor, cost of electricity in a particular location, cost of electricity in a particular moment of the time, the consumption registered by that particular sensor, consumption registered by sensors in the network of sensors, consumption monitored by all sensors exceeding a desired total maximum, range of optimal voltage or amperage supported by an appliance, temperature registered by a sensor, smoke condition registered by a sensor, user-defined rules for each sensor, and preferences expressed by users for specific machine learning optimization criteria.

4. The system of claim 3, wherein the suggestions for reducing the consumption of electricity is sent to each sensor device by the control server.

5. The system of claim 4, wherein sensors apply the suggestions for reducing the consumption of electricity by turning off one or more appliances.

6. The system of claim 4, wherein sensors can delay operation of one or more appliances by a given temporal interval.

7. The system of claim 4, wherein sensors can switch off one or more appliances in response to temperature monitored by the sensors.

8. The system of claim 4, wherein sensors are configured to switch off all of the appliances in the plurality of appliances upon detection of smoke.

9. The system of claim 4, wherein sensors are configured to switch off all of the appliances in the plurality of appliances in accordance to a user defined rule.

10. The system of claim 4, wherein sensor status, controller server status and all suggestion recommendations can be accessed via a network system through the use of a smart browser or a web browser for reporting statistical information, metrics and other information.

11. The system of claim 10, wherein the network system utilizes one or more protocols selected from the group comprising HTTP, HTTPS, Atom and RSS.

12. The system of claim 4, wherein the sensors are configured to alter one or more of said plurality of appliances, such that the appliances enter a reduced consumption state where one or more non-critical function is suspended.

13. A method for monitoring and reducing the consumption of electricity with a network of smart sensors, the method comprising the steps of:

connecting a plurality of sensors via a network connection to a control server, wherein said sensors are configured to (1) monitor consumption of electricity by each of a plurality of appliances which include electronic and electrical devices, (2) change the applied voltage to at least one of said monitored appliances, (3) change the amperage to at least one of said monitored appliances, and (4) control at least one of said monitored appliances by causing said appliance to reduce its power consumption by suspending non-critical functions and dimming light produced by said appliance;

transmitting suggestions for reducing electricity to each of said sensors via said network;

periodically performing power consumption monitoring of said appliances using the plurality of sensors, wherein said monitoring comprises periodically receiving consumption information from the plurality of sensors;

storing the received consumption information in a database;

analyzing power consumption data received from the plurality of sensors;

reviewing the power consumption data according to a plurality of criteria, said criteria consisting of;

geographical location of each sensor, power consumption observed over an interval of time, time of the day, external light conditions, presence and/or the movement of people in the area monitored by the sensor, cost of electricity in a particular location, cost of electricity in a particular moment of the time, the consumption registered by that particular sensor, consumption registered by sensors in the network of sensors, consumption monitored by all sensors exceeding a desired total maximum, range of optimal voltage or amperage supported by an appliance, temperature registered by a sensor, and smoke condition registered by a sensor;

generating optimized parameters for each sensor based on said review of power consumption data;

providing said optimized parameters to said plurality of sensors, wherein said optimized parameters cause said sensors to alter control of at least one of said appliances; and

localizing a geographical position of at least one of the sensors using Internet protocols, phone networks, or satellite networks.

14. The method of claim 13, wherein at least one sensor of said plurality of sensors can delay operation of one or more appliances, electrical devices or electronic devices by a given temporal interval.