Wireless sensor having a variable transmission rate

• US 8,760,293 B2
• Filed: 01/31/2012
• Issued: 06/24/2014
• Est. Priority Date: 03/27/2009
• Status: Active Grant

• Current Assignee: Lutron Technology Company LLC
• Original Assignee: Lutron Electronics Company Incorporated (Lutron Electronics)
• Inventors: Steiner, James P.
• Primary Examiner(s): PHILOGENE, HAISSA
• Application Number:
  US13/362,391
• Publication Number:
  US 20120133287A1
• Time in Patent Office: 875 Days
• Field of Search: 315294-297, 315/307, 315/312, 315/316, 315/308, 315/361, 340/538.15, 340/539.1, 340/545.3, 340/540, 340/552, 340/555, 340/567, 340/600, 250/205
• US Class Current: 340/545.3
• CPC Class Codes: G01J 1/02 Details
• CPC Class Codes: G01J 1/0219 Electrical interface; User interface
• CPC Class Codes: G01J 1/0228 Control of working procedures; Failure detection; Spectral bandwidth calculation
• CPC Class Codes: G01J 1/0247 using a charging unit
• CPC Class Codes: G01J 1/16 using electric radiation detectors G01J1/20 takes precedence
• CPC Class Codes: G01J 1/32 adapted for automatic variation of the measured or reference value regulation of light intensity G05D25/00
• CPC Class Codes: H05B 47/11 by determining the brightness or colour temperature of ambient light
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A sensing device transmits wireless signals when an error between at least one sampled parameter value and at least one predicted parameter value is too great, such that the sensing device transmits wireless signals to a load control device using a variable transmission rate that is dependent upon the amount of change in a value of the parameter. The sensing device uses the one or more estimators to determine the predicted parameter value, and may transmit the estimators to the load control device if the error is too great. The load control device uses the estimators to determine at least one estimated parameter value and controls the electrical load in response to the estimated parameter value. The sensing device may comprise, for example, a daylight sensor for measuring a total light intensity in the space around the sensor or a temperature sensor for measuring a temperature around the sensor.

Claims

1. A sensing device for measuring a parameter, the sensing device comprising:

a sensing circuit operable to generate a control signal representative of a value of the parameter;

a wireless transmitter for transmitting wireless signals; and

a controller coupled to the sensing circuit and the wireless transmitter, the controller operable to periodically sample the control signal to generate at least one sampled parameter value;

wherein the controller is operable to determine at least one predicted parameter value and to calculate an error using the at least one sampled parameter value and the at least one predicted parameter value, the controller operable to transmit a digital message via the wireless signals if the error is too great.

2. The sensing device of claim 1, wherein the controller is operable to determine one or more estimators and to use the one or more estimators to determine the at least one predicted parameter value.

3. The sensing device of claim 2, wherein the controller uses a linear prediction model to calculate the at least one predicted parameter value, the one or more estimators comprising a slope and an offset of a line that best represents the change of the value of the parameter.

4. The sensing device of claim 3, wherein the controller transmits a digital message including the slope and the offset when the error between the at least one sampled parameter value and the at least one predicted parameter value is too great.

5. The sensing device of claim 3, wherein the controller performs a linear least-squares fit on a number of sampled parameter values to determine the slope and the offset of the line that best represents the change of the value of the parameter.

6. The sensing device of claim 2, wherein the one or more estimators comprises a single data point representative of the at least one sampled parameter value.

7. The sensing device of claim 6, wherein the single data point comprises one of a minimum, an average, and a median of a number of sampled parameter values.

8. The sensing device of claim 2, wherein the controller is operable to use a parabolic prediction model to calculate the at least one predicted parameter value, the one or more estimators comprising coefficients of a parabola that best represents the change of the value of the parameter.

9. The sensing device of claim 1, wherein the sensing circuit comprises a photosensitive circuit operable to generate a light intensity control signal representative of a total light intensity in a space around the sensing device.

10. The sensing device of claim 1, wherein the sensing circuit comprises a temperature sensing circuit operable to measure a present temperature in a space around the sensing device and to generate a present temperature control signal representative of the present temperature.

11. The sensing device of claim 1, further comprising:

a battery for powering the sensing circuit, the wireless transmitter, and the controller.

12. The sensing device of claim 1, wherein the controller is operable to transmit wireless signals using a variable transmission rate that is dependent upon an amount of change of the value of the parameter.

13. The sensing device of claim 1, wherein the sensing device comprises one of:

a daylight sensor, a temperature sensor, an energy sensor, a voltage sensor, a current sensor, a battery life sensor, a pressure sensor, a condensation sensor, a humidity sensor, a barometric pressure sensor, a rainfall sensor, and a wind sensor.

14. A load control device for controlling an electrical load powered by an AC power source in a load control system having a sensor for measuring a parameter, the load control device comprising:

a controller for controlling the electrical load; and

a wireless receiver for receiving wireless signals from the sensor;

wherein the controller is operable to decode a present value of the parameter and one or more estimators from the wireless signals received from the sensor, the controller operable to determine at least one estimated parameter value using the present value of the parameter and the estimators, and to control the electrical load in response to the at least one estimated parameter value.

15. The load control device of claim 14, further comprising:

a controllably conductive device adapted to be coupled in series electrical connection between the source and the load;

wherein the controller is operatively coupled to a control input of the controllably conductive device for controlling the power delivered to the electrical load.

16. The load control device of claim 15, wherein the load control device comprises a dimmer switch for adjusting the intensity of the lighting load and the parameter comprises a total light intensity in a space around the sensor, the controller operable to control the controllably conductive device to adjust the intensity of the lighting load in response to at least one estimated value of the total light intensity in the space.

17. The load control device of claim 14, wherein the load control device comprises a temperature control device for controlling a heating and/or cooling system and the parameter comprises a present temperature control signal representative of a present temperature in a space around the sensor, the controller operable to control the heating and/or cooling system in response to at least one estimated value of the present temperature in the space around the sensor.

18. The load control device of claim 14, wherein the one or more estimators comprise a single data point representative of the at least one sampled parameter value.

19. The load control device of claim 14, wherein the one or more estimators comprise a slope and an offset of a line that best represents the change of the value of the parameter.

20. The load control device of claim 14, wherein the one or more estimators comprise coefficients of a parabola that best represents the change of the value of the parameter.

21. A load control system for controlling an electrical load located in a space of a building, the load control system comprising:

a load control device for controlling an electrical load; and

a sensor for measuring a parameter, the sensor operable to transmit wireless signals to the load control device in response to the parameter, the load control device operable to control the electrical load in response to the wireless signals received from the sensor;

wherein the sensor is operable to determine a first predicted value of the parameter and to calculate an error using a present value of the parameter and the first predicted value of the parameter, the sensor operable to transmit wireless signals to the load control device if the error is too great.

22. The load control system of claim 21, wherein the sensor is operable to determine one or more estimators prior to determining the first predicted value of the parameter, the sensor operable to transmit a digital message to the load control device via the wireless signals when the error is too great, the digital message including the present value of the parameter and the one or more estimators, the load control device operable to decode the present value of the parameter and one or more estimators from the wireless signals received from the sensor, the load control device operable to determine a second predicted value of the parameter using the present value of the parameter and the estimators, and to control the electrical load in response to the second predicted value of the parameter.

23. The load control system of claim 22, wherein the one or more estimators comprises a single data point representative of the present value of the parameter.

24. The load control system of claim 22, wherein the sensor and the load control device are each operable to use a linear prediction model to calculate the respective predicted values of the parameter, the one or more estimators comprising a slope and an offset of a line that best represents the change of the value of the parameter.

25. The load control system of claim 22, wherein the sensor and the load control device are each operable to use a parabolic prediction model to calculate the at least one predicted parameter value, the one or more estimators comprising coefficients of a parabola that best represents the change of the value of the parameter.

26. The load control system of claim 21, wherein load control device comprises a dimmer switch for adjusting the intensity of the lighting load and the parameter comprises a total light intensity in a space around the sensor, the load control device operable to adjust the intensity of the lighting load in response to the total light intensity in the space.

27. The load control system of claim 21, wherein the load control device comprises a temperature control device for controlling a heating and/or cooling system and the parameter comprises a present temperature control signal representative of a present temperature in a space around the sensor, the load control device operable to control the heating and/or cooling system in response to the present temperature in the space around the sensor.

28. The load control system of claim 21, wherein the sensor is operable to transmit wireless signals using a variable transmission rate that is dependent upon an amount of change of the value of the parameter.

29. The load control system of claim 21, wherein the sensor comprises one of:

a daylight sensor, a temperature sensor, an energy sensor, a voltage sensor, a current sensor, a battery life sensor, a pressure sensor, a condensation sensor, a humidity sensor, a barometric pressure sensor, a rainfall sensor, and a wind sensor.

30. A method of transmitting a digital message in response to a value of a parameter, the method comprising:

generating a control signal representative of the value of the parameter;

periodically sampling the control signal to generate at least one sampled parameter value;

determining at least one predicted parameter value;

calculating an error using the at least one sampled parameter value and the at least one predicted parameter value; and

transmitting a wireless signal if the error is too great.

31. The method of claim 30, wherein the step of determining at least one predicted parameter value comprises determining one or more estimators prior to determining the at least one predicted parameter value, and using the one or more estimators to determine the at least one predicted parameter value.

32. The method of claim 31, wherein the step of determining at least one predicted parameter value further comprises using a linear prediction model to calculate the at least one predicted parameter value, the one or more estimators comprising a slope and an offset of a line that best represents the change of the value of the parameter.

33. The method of claim 32, wherein the step of transmitting a wireless signal comprises transmitting a digital message including the slope and the offset of the line that best represents the change of the value of the parameter when the error between the at least one sampled parameter value and the at least one predicted parameter value is too great.

34. The method of claim 32, wherein the step of determining at least one predicted parameter value further comprises performing a linear least-squares fit to determine the slope and the offset of the line that best represents the change of the value of the parameter.

35. The method of claim 31, wherein the step of periodically sampling the control signal comprises collecting a predetermined number of sampled parameter values during consecutive non-overlapping time intervals, and the step of determining at least one predicted parameter value comprises determining the one or more estimators during a previous time interval, and calculating multiple predicted parameter values using the one or more estimators during a present time interval.

36. The method of claim 35, wherein the at least one estimator comprises a minimum sampled parameter value from the previous time interval, the step of transmitting a wireless signal comprises transmitting a digital message including the minimum sampled parameter value from the present time interval if the difference between the estimator and a minimum sampled parameter value from the present time interval exceeds a maximum error.

37. The method of claim 32, wherein the step of determining at least one predicted parameter value further comprises using a parabolic prediction model to calculate the at least one predicted parameter value, the one or more estimators comprising coefficients of a parabola that best represents the change of the value of the parameter.

38. The method of claim 30, wherein the parameter comprises a total light intensity in a space around the sensor.

39. The method of claim 30, wherein the parameter comprises a present temperature in a space around the sensor.

40. The method of claim 30, wherein wireless signals are transmitted using a variable transmission rate that is dependent upon an amount of change of the value of the parameter.