UNIVERSAL INTERNET OF THINGS CLOUD APPARATUS AND METHODS

• US 20140303935A1
• Filed: 06/18/2014
• Published: 10/09/2014
• Est. Priority Date: 06/15/2011
• Status: Abandoned Application

• Current Assignee: Expanergy, LLC
• Original Assignee: Expanergy, LLC
• Inventors: Kamel, Michel Roger, Donahue, Paul W.
• Application Number:
  US14/308,266
• Publication Number:
  US 20140303935A1
• Time in Patent Office: Days
• US Class Current: 702/189
• CPC Class Codes: G01D 21/00 Measuring or testing not otherwise provided for
• CPC Class Codes: G01D 2204/12 Determination or prediction of behaviour, e.g. likely power consumption or unusual usage patterns
• CPC Class Codes: G01R 21/133 by using digital technique
• 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: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor
• CPC Class Codes: Y02P 90/84 Greenhouse gas [GHG] management systems
• CPC Class Codes: Y02P 90/845 Inventory and reporting systems for greenhouse gases [GHG]
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A system to analyze data and control devices that receives at a cloud-based server sensor data associated with a sensor. The sensor data conforms to a data protocol compatible with the cloud-based server. The system also receives dynamic data from a cloud-based source(s), accesses attributes of an asset related to the sensor, analyzes by the cloud-based server the sensor data, the dynamic data, and the attributes of the asset, generates a control signal based at least in part on an analysis of the sensor data, the dynamic data and the attributes of the asset, and transmits the control signal over a network to control the asset.

Claims

1. A method to analyze data and control devices, the method comprising:

receiving at a cloud-based server sensor data associated with a sensor, the sensor data conforming to a data protocol compatible with the cloud-based server;

receiving dynamic data from a cloud-based source;

accessing attributes of an asset related to the sensor;

analyzing by the cloud-based server the sensor data, the dynamic data, and the attributes of the asset;

generating a control signal based at least in part on an analysis of the sensor data, the dynamic data, and the attributes of the asset; and

transmitting the control signal over a network to control the asset.

2. The method of claim 1 wherein the sensor is associated with at least one of the sensor, a system, and an on-site server.

3. The method of claim 1 wherein the sensor data comprises an output signal from the sensor that has been converted to the data protocol compatible with the cloud-based server.

4. The method of claim 1 wherein the sensor comprises at least one of a current sensor, a voltage sensor, an EMF sensor, a touch sensor, a contact closure, a capacitive sensor, an overload trip sensor, a mechanical switch, a torque sensor, a temperature sensor, an air flow sensor, a gas flow sensor, a water flow sensor, a water sensor, an accelerometer, a vibration sensor, a global positioning system (GPS), a wind sensor, a sun sensor, a solar irradiance sensor, a wind speed sensor, a pressure sensor, a light sensor, a tension-meter, a microphone, a humidity sensor, an occupancy sensor, a motion sensor, a laser sensor, a carbon dioxide gas sensor, a carbon monoxide gas sensor, a rotational speed sensor, an angular speed sensor, and a pulse counter.

5. The method of claim 1 further comprising generating a report based at least in part on the analysis of the sensor data, the dynamic data, and the attributes of the asset.

6. The method of claim 1 wherein the cloud-based server analyzes the sensor data, the dynamic data, and the attributes of the asset to calculate energy loads, determine possible energy reductions, identify malfunctioning systems, determine carbon footprints, calculate phase imbalance, calculate power quality, calculate power capacity, calculate energy efficiency metrics, calculate equipment duty cycles, calculate energy load profiles, identify peak energy, determine wasted energy, analyze root cause of wasted energy, identify losses due to simultaneous heating and cooling, calculate overcooling, calculate overheating, calculate schedule losses, calculate rate analysis, calculate payback of energy improvement measures, calculate occupancy efficiency, calculate optimum capacity and maximum payback of alternate energy sources, calculate demand reduction potential, calculate renewable energy contribution, calculate renewable energy storage requirements, calculate dummy energy loading requirements, and calculate energy forecast.

7. The method of claim 1 wherein the dynamic data comprises one or more of grid loading, weather data, utility meter data, utility pricing information, security data, occupancy data, occupant comfort data, facility schedule data, occupant schedule data, asset data, energy surveys, solar panel output, solar array output, wind turbine output, wind farm output, fuel cell output, energy generator output, distributed energy generation output, onsite power generation output, energy alerts, security alerts, emergency alerts, maintenance logs, event logs, activity logs, alert logs, environmental data, set point data, control signal, inventory data, production logs, shipping logs, and attendance data.

8. The method of claim 1 wherein the attributes of the asset comprise one or more of pressure ratings, energy consumption, energy generation capacity, power quality, duty cycles, load capacity, heat emissions, noise emissions, electromagnetic wave emissions, flow rates, working fluid characteristics, dimensions, density, mass, insulation performance, window energy performance, tensile and sheer strength coefficients, expansion coefficients, thermal coefficients, color, material, cost, irradiance, and refractive indices.

9. The method of claim 1 wherein the control signal is transmitted over the network by one or more of wireless transmission and wired transmission.

10. The method of claim 1 wherein the asset comprises at least one of a building, a residence, a factory, a store, a facility, a room, an office, a zoned area, a floor, an electrical subsystem, a mechanical subsystem, an electromechanical subsystem, a device, an apparatus, chemical subsystem, a parking structure, a stadium, and a theater.

11. The method of claim 1 further comprising transmitting analytic results based at least in part on the analysis of the sensor data, the dynamic data, and the attributes of the asset to at least one of a user interface and a second cloud-based server.

22. The apparatus of claim 11 further comprising cloud-based computer hardware configured to transmit analytic results based at least in part on the analysis of the sensor data, the dynamic data, and the attributes of the asset to at least one of a user interface and a second cloud-based server.

12. An apparatus to analyze data and control devices, the apparatus comprising:

cloud-based computer hardware configured to receive sensor data associated with a sensor, the sensor data conforming to a data protocol compatible with the cloud-based hardware;

cloud-based computer hardware configured to receive dynamic data;

cloud-based computer hardware configured to access attributes of an asset related to the sensor;

cloud-based computer hardware configured to analyze the sensor data, the dynamic data, and the attributes of the asset cloud-based computer hardware configured to generate a control signal based at least in part on an analysis of the sensor data, the dynamic data, and the attributes of the asset; and

cloud-based computer hardware configured to transmit the control signal over a network to control the asset.

13. The apparatus of claim 12 wherein the sensor is associated with at least one of the sensor, a system, and an on-site server.

14. The apparatus of claim 12 wherein the sensor data comprises an output signal from the sensor that has been converted to the data protocol compatible with the cloud-based server.

15. The apparatus of claim 12 wherein the sensor comprises at least one of a current sensor, a voltage sensor, an EMF sensor, a touch sensor, a contact closure, a capacitive sensor, an overload trip sensor, a mechanical switch, a torque sensor, a temperature sensor, an air flow sensor, a gas flow sensor, a water flow sensor, a water sensor, an accelerometer, a vibration sensor, a global positioning system (GPS), a wind sensor, a sun sensor, a solar irradiance sensor, a wind speed sensor, a pressure sensor, a light sensor, a tension-meter, a microphone, a humidity sensor, an occupancy sensor, a motion sensor, a laser sensor, a carbon dioxide gas sensor, a carbon monoxide gas sensor, a rotational speed sensor, an angular speed sensor, and a pulse counter.

16. The apparatus of claim 12 further comprising generating a report based at least in part on the analysis of the sensor data, the dynamic data, and the attributes of the asset.

17. The apparatus of claim 12 wherein the cloud-based server analyzes the sensor data, the dynamic data, and the attributes of the asset to calculate energy loads, determine possible energy reductions, identify malfunctioning systems, determine carbon footprints, calculate phase imbalance, calculate power quality, calculate power capacity, calculate energy efficiency metrics, calculate equipment duty cycles, calculate energy load profiles, identify peak energy, determine wasted energy, analyze root cause of wasted energy, identify losses due to simultaneous heating and cooling, calculate overcooling, calculate overheating, calculate schedule losses, calculate rate analysis, calculate payback of energy improvement measures, calculate occupancy efficiency, calculate optimum capacity and maximum payback of alternate energy sources, calculate demand reduction potential, calculate renewable energy contribution, calculate renewable energy storage requirements, calculate dummy energy loading requirements, and calculate energy forecast.

18. The apparatus of claim 12 wherein the dynamic data comprises one or more of grid loading, weather data, utility meter data, utility pricing information, security data, occupancy data, occupant comfort data, facility schedule data, asset data, energy surveys, solar panel output, solar array output, wind turbine output, wind farm output, fuel cell output, energy generator output, distributed generation energy output, onsite power generation output, energy alerts, security alerts, emergency alerts, maintenance logs, event logs, activity logs, alert logs, environmental data, set point data, control signal, inventory data, production logs, shipping logs, and attendance data.

19. The apparatus of claim 12 wherein the attributes of the asset comprise one or more of pressure ratings, energy consumption, energy generation capacity, power quality, duty cycles, load capacity, heat emission, noise emissions, electromagnetic wave emissions, flow rates, working fluid characteristics, dimensions, density, mass, insulation performance, window energy performance, tensile and sheer strength coefficients, expansion coefficients, thermal coefficients, color, material, cost, irradiance, and refractive indices.

20. The apparatus of claim 12 wherein the control signal is transmitted over the network by one or more of wireless transmission and wired transmission.

21. The apparatus of claim 12 wherein the asset comprises at least one of a building, a residence, a factory, a store, a facility, a room, an office, a zoned area, a floor, an electrical subsystem, a mechanical subsystem, an electromechanical subsystem, a device, an apparatus, a chemical subsystem, a parking structure, a stadium, and a theater.