System for the monitoring and maintenance of remote autonomously powered lighting installations

• US 10,411,495 B2
• Filed: 05/26/2017
• Issued: 09/10/2019
• Est. Priority Date: 06/13/2012
• Status: Active Grant

• Current Assignee: Clear Blue Technologies, Inc. (Clear Blue Technologies International, Inc.)
• Original Assignee: Clear Blue Technologies, Inc. (Clear Blue Technologies International, Inc.)
• Inventors: Tuerk, John, Tuerk, Miriam, Windrim, Mark, Yafaoui, Ahmad
• Primary Examiner(s): Le, John H
• Application Number:
  US15/606,633
• Publication Number:
  US 20170331322A1
• Time in Patent Office: 837 Days
• Field of Search: 702 58, 702 60, 702 62, 702 63, 702182, 702183, 362145, 362183, 700 90, 700286, 700295
• CPC Class Codes: G01R 31/40 Testing power supplies testing photovoltaic devices H02S50/10
• CPC Class Codes: H02J 1/08 Three-wire systems; Systems having more than three wires
• CPC Class Codes: H02J 1/10 Parallel operation of dc sources
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00006 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00026 involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 7/007 Regulation of charging or discharging current or voltage
• CPC Class Codes: H02J 7/04 Regulation of charging current or voltage
• CPC Class Codes: H02J 7/35 with light sensitive cells
• CPC Class Codes: H05B 47/105 in response to determined parameters
• CPC Class Codes: H05B 47/115 by determining the presence or movement of objects or living beings
• CPC Class Codes: H05B 47/19 via wireless transmission
• CPC Class Codes: H05B 47/22 with communication between the lamps and a central unit
• 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: Y02E 10/56 : Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 : Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 40/70 : Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y04S 10/123 : the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 40/12 : characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

Abstract

A system of monitoring and/or maintaining remotely located autonomously powered lights, security systems, parking meters, and the like is operable to receive data signals from a number of the devices, and provide a comparison with other similar devices in the same geographic region to detect a default condition of a particular device, and/or assess whether the defect is environmental or particular to the specific device itself. The system includes memory for storing operating parameters and data, and outputs modified control commands to the devices in response to sensed performance, past performance and/or self-learning algorithms. The system operates to provide for the monitoring and/or control of individual device operating parameters on an individual or regional basis, over preset periods.

Claims

1. A method for monitoring and controlling an operating status of electrical loads of a plurality of autonomously powered discrete devices, and said plurality of autonomously powered discrete devices are disposed as part of a device array at a first geographic location, wherein each said device includes:

an electric load;

a rechargeable battery for storing and providing electric power to said electric load;

at least one of a wind generator and a solar generator for generating electric power to be stored in said battery;

a device controller for regulating or controlling the flow of electric power from said generator to said battery and from said battery to said electric load; and

a data transmission assembly operable to transmit output data representative of the device operating parameters power generation performance, battery storage or discharge performance of the electric load, and to receive input control signals for said device controller controlling at least one of a charging and a discharge of said battery;

said method comprising;

transmitting the output data from a plurality of said discrete devices for storage in a system memory,

generating a regional operating profile for said device array for a selected time period based at least in part on compiled output data from the plurality of said discrete devices stored said system memory,

generating a device operating profile for said selected said discrete device for said selected period of time based at least in part on compiled output data from the selected discrete device stored in said system memory,

logging historic weather events for said first geographic location during said selected period of time, said historic weather events comprising both short term forecast data for up to three weeks and seasonal environmental data;

receiving for said first geographical location, predicted weather events for a future period of time, said predicted weather events comprising at least one of predicted short term forecast weather data for up to three weeks, and predictive seasonal environmental data;

correlating at least one of said regional operating profile and said device operating profile to said future period of time based on said logged historic weather events and said predicted weather events, and providing an extrapolated performance expectation for said selected device during said future period of time based on said correlation; and

outputting modified control commands to the device controller of said selected discrete device as said input control signals to vary control of at least one of battery charging, battery discharge, and electric load operation in response to said extrapolated performance expectation.

2. The method as claimed in claim 1, wherein said autonomously powered discrete devices are rechargeable battery powered devices selected from the group consisting of a solar light pole, a security camera, a parking meter, a charging station, a bike renal platform, a display board, an environmental sensor, and a telecommunication transmitter.

3. The method as claimed in claim 1, wherein said short term forecast data comprise forecast data selected from the group consisting of sun position, wind velocity, cloud coverage, precipitation, temperature, UV intensity, fog occurrence and snow accumulation.

4. The method as claimed in claim 3, wherein said seasonal environmental data comprises data selected from the group consisting of geographic latitude, seasonal sunlight duration, average seasonal temperatures and seasonal wind speed averages.

5. The method as claimed in claim 1, wherein the data transmission assembly is selected to wirelessly receive said input control signals and wirelessly transmit said output data to a processing assembly including said memory at a second geographic location remote from said first geographic and wherein:

each of said received predicted weather events and said logged historic weather events being stored in said memory, and said processing assembly being operated to perform said steps of compiling said output data to generate said regional operating profile and said device operating profile, and output the modified control commands as said input control signals.

6. The method of claim 5, further comprising comparing the device operating profile to the regional operating profile to effect a determination of whether power generation performances, battery storage or load output of the selected discrete device falls outside a predetermined threshold difference, and

further modifying the modified control commands to adjust battery charging and discharging in response to said determination.

7. The method as claimed in claim 1, wherein said extrapolated performance expectation comprises a performance expectation which is weighted to said device operating profile having regard to the short term forecast weather data at said first geographic region comprising at least one of predicted wind speed and predicted sunshine intensity.

8. The method as claimed in claim 7, wherein said extrapolated performance expectation comprises a performance expectation which is weighted to said device operating profile having regard to the seasonal environmental data for said device array.

9. The method as claimed in claim 1, wherein said step of outputting modified control commands comprises outputting to the device controller of the selected discrete device said input control signals to operate said electric load with increased or decreased output intensity and/or activation times in response to said predicted short term forecast weather data selected to maximize the charging/discharging battery performance during at least part of the future period of time.

10. The method as claimed in claim 9, wherein the modified control commands are selected to maximize the rechargeable battery life cycle.

11. The method as claimed in claim 9, further comprising:

comparing the device operating profile to the regional operating profile, and

further modifying the extrapolated performance expectation if the compared device operating profile falls outside a predetermined threshold difference from the regional operating profile.

12. A method for remotely controlling a selected powered device, said device comprising part of an array of a plurality of devices disposed in a device array at a first geographic location, and wherein each of said plurality of devices comprising an autonomously powered discrete device including:

an electric load;

a rechargeable battery for storing and providing electric power to said electric load;

at least one of a wind generator and a solar generator for generating power to be stored in said battery;

a device controller for regulating and controlling the flow of electric power from said generator to said battery and from said battery to said electric load; and

a data transmission assembly operable to transmit output data to a remotely located processor assembly, said output data being representative of operating parameters of the device comprising power generation performance, or battery storage and load output performance for a selected time period, and to receive and output to said device controller input control signals for controlling at least one of a charging and a discharge of said battery, said method comprising;

transmitting the output data from a plurality of said devices to said processor assembly,

with said processor assembly generating a regional operating profile for said device array over said selected time period based on compiled output data from the plurality of devices in the device array;

with said processor assembly generating, a device operating profile for the selected device over said selected period of time based on the output data from the selected device,

with said processor assembly, logging weather event data for said first geographic area over said selected period of time, said weather event data comprising at least one of short term forecast data and seasonal environmental data;

with said processor assembly, compiling predicted weather event data for said first geographic region over a future period of time, said predicted weather event data comprising a least one of predicted short term forecast weather data, and predictive seasonal forecast data for said future period of time,

correlating said regional operating profile or said device operating profile to said future period of time based on a comparison of said logged weather event data and said predicted weather event data to provide an extrapolated performance expectation for said selected device during said future period of time;

outputting modified control commands to the device controller of said selected device as said input control signals in response to said extrapolated performance expectation; and

wherein said devices comprise one or more selected from the group consisting of a solar light pole, a security camera, a parking meter, a charging station, a bike rental platform, a display board, an environmental sensor, and a telecommunication transmitter.

13. The method of claim 12, wherein the modified control commands are selected to maximize the life cycle of the battery of the selected device, having regard to the compiled predicted weather event data.

14. The method of claim 12, further comprising:

comparing the device operating profile to the regional operating profile to effect a determination of whether power generation performance, battery storage or load output of the selected device falls outside a predetermined threshold difference, and

further modifying the output modified control commands to adjust battery charging and discharging in response to said determination.

15. The method a claimed in claim 12, wherein the step of outputting said modified control commands comprises outputting to said selected device said input control signals to operate said electric load with increased or decreased output intensity or activation times in response to said predicted short term forecast weather data selected to maximize the charging/discharging battery performance during at least part of the future period of time.

16. The method as claimed in claim 15, wherein said extrapolated performance expectation comprises a performance expectation which is weighted to said device operating profile having regard to the predicted short term forecast weather data at said first geographic region for a period of up to three weeks.

17. The method as claimed in claim 16, wherein said short term forecast data is selected from the group consisting of sun position, wind velocity, cloud coverage, precipitation, temperature, UV intensity, fog occurrence and snow accumulation.

18. A method for remotely controlling a rechargeable battery powered light pole, said light pole comprising a selected one of a plurality of light poles disposed at a first geographically remote location as part of a light pole array, and wherein each of said light pole includes:

an electric load including at least one light;

a rechargeable battery for storing and providing electric power to said electric load;

a power generator comprising at least one of a wind generator and a photovoltaic generator for generating power to be stored in said battery;

a device controller for regulating the charging of the battery and the flow of electric power therefrom to the electric load; and

a data transmission assembly operable to output to a remotely located processor assembly output data representative of operating parameters of the light pole comprising at least one of power generator performance, battery storage performance and battery discharge performance, and to receive and output to said device controller control signals for controlling battery charging by the power generator and power discharge of said battery to said electric load;

said processor assembly being operated to;

generate a regional operating profile for said light pole array over a selected time period by compiling on output data from the plurality of light poles in the light pole array, wherein said regional operating profile comprises aggregate power generator performance and aggregate battery storage or discharge performance of said pole array,

generate a device operating profile for said selected light pole over the selected time period based by compiling output data from the selected light pole, said device operating profile comprising power generator performance and battery storage and/or discharge performance of said selected light pole;

store weather event data for said first geographic region over the selected time period, said weather event data comprising at least one of short term forecast data and seasonal environmental data;

compile predicted weather event data for said first geographic region over a future period of time, said predicted weather event data comprising at least one of predicted short term forecast weather data, and predictive seasonal forecast data for said future period of time,

correlate performance data from at least one of said regional operating profile and said device operating profile to said future period of time based on a comparison of said stored weather event data and said predicted weather event data to provide an extrapolated performance expectation for said selected light pole during said future period of time; and

output modified control commands to the device controller of said selected light pole as said control signals in response to said extrapolated performance expectation, wherein the modified control commands are selected to maximize battery charging/discharging performance during at least part of said future period of time.

19. The method as claimed in claim 18, wherein said short term forecast data comprise forecast data selected from the group consisting of sun position, wind velocity, cloud coverage, precipitation, temperature, UV intensity, fog occurrence and snow accumulation, for a period of up to three weeks, and

wherein seasonal environmental data comprises data selected from the group consisting of geographic latitude, seasonal sunlight duration, seasonal average temperatures and seasonal wind speed averages.

20. The method as claimed in claim 19, wherein said extrapolated performance expectation comprises a performance expectation which is weighted to said device operating profile having regard to the seasonal environmental data for said light pole array.

21. The method as claimed in claim 18, further comprising:

comparing the device operating profile to the regional operating profile, and

further modifying the extrapolated performance expectation if the compared device operating profile falls outside the predetermined threshold difference from the regional operating profile.

22. The method as claimed in claim 18, wherein the selected time period comprises a historic period of time.

23. The method as claimed in claim 22, further comprising generating a current operating profile for the selected light pole over a current period of time, comparing the current operating profile, to at least one of the device operating profile over the selected time period and the regional operating profile to effect a determination of whether power generation performance, or battery storage or discharge of the selected light pole falls outside a preselected range, and

further modifying the output modified control commands to the device controller of the selected light pole to adjust battery charging or discharging in response to said determination.