INTELLIGENT LIGHTING SYSTEM WITH PREDICTIVE MAINTENANCE SCHEDULING AND METHOD OF OPERATION THEREOF

• US 20170079124A1
• Filed: 03/03/2015
• Published: 03/16/2017
• Est. Priority Date: 03/06/2014
• Status: Active Grant

• Current Assignee: Signify Holding B.V. (Signify N.V.)
• Original Assignee: Philips Lighting BV (Koninklijke Philips N.V.)
• Inventors: FLINSENBERG, Ingrid Christina Maria, BAGHERI, Saeed Reza, SHAH, Parikshit, SINITSYN, Alexandre Georgievich, DE BONT, Johanna Maria
• Granted Patent: US 9,788,400 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05B 23/024 Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: H05B 47/20 Responsive to malfunctions or to light source life; for protection
• CPC Class Codes: H05B 47/22 with communication between the lamps and a central unit
• CPC Class Codes: H05B 47/28 Circuit arrangements for protecting against abnormal temperature
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A lighting system which includes at least one controller which is configured to: obtain lighting logging information related to operation of a lighting system including a plurality of lamps from a lighting logging data portion; model lamp failures in the lighting system in accordance with the lighting logging information in the lighting system and maintenance cost, the model having a time range; predict failures in the lighting system at future times at least in part in accordance with the prediction model; form a graphical user interface (GUI) which includes a graphical depiction of the model; and render the GUI on a rendering device.

Claims

1. A lighting system, comprising:

at least one controller which is configured to;

obtain lighting logging information related to operation of a lighting system comprising a plurality of lamps from a lighting logging data portion;

model lamp failures with a bias in the lighting system to form a model at least in part in accordance with the lighting logging information in the lighting system and maintenance cost, the model having a time range and comprising at least one prediction model;

predict failures in the lighting system at future times in accordance to the model;

form a graphical user interface which includes a graphical depiction of the model; and

render the GUI on a rendering device,

wherein a positive bias indicates that a lamp is predicted to fail sooner than expected, and a negative bias indicates that the lamp is predicted to fail later than expected.

2. The system of claim 1, wherein the at least one controller is further configured to generate the GUI to further comprise a menu option for a user to select at least one time which is within the time range of the model.

3. The system of claim 2, wherein the at least one controller is further configured to select predicted lamp failures of the model in accordance with the selected at least one time.

4. The system of claim 3, wherein the at least one controller is further configured to generate the GUI to further comprise a graphical depiction of the selected predicted lamp failures of the model.

5. The system of claim 1, wherein the at least one controller is further configured to generate the GUI to include a graphical depiction of at least one of actual and requested dimming status, burning hours, lamp voltage, current, power, and mains voltage, for at least one lamp which is selected by the user of the plurality of lamps.

6. The system of claim 1, wherein the at least one controller is further configured to form the GUI to further comprise at least one quality measure indicating quality of a corresponding measure and determined in accordance with the lighting logging information.

7. A method of determining performance of a lighting system comprising a plurality of lamps, the method performed by at least one controller of the lighting system and comprising acts of:

obtaining lighting logging information related to operation of the lighting system from a lighting logging data portion;

modeling lamp failures with a bias in the lighting system to form a model at least in part in accordance with the lighting logging information and maintenance cost, the model having a time range and comprising at least one prediction model;

predicting failures in the lighting system at future times at least in part in accordance the model;

forming a graphical user interface which includes a graphical depiction of the predictions; and

rendering the GUI on a rendering device,

wherein a positive bias indicates that a lamp is predicted to fail sooner than expected, and a negative bias indicates that the lamp is predicted to fail later than expected.

8. The method of claim 7, further comprising an act of generating the GUI to further comprise a menu option for a user to perform a selection at least one time which is within the time range of the model.

9. The method of claim 8, further comprising an act of selecting predicted lamp failures of the model in accordance with the selection at least one time.

10. The method of claim 9, further comprising an act of generating the GUI to further comprise a graphical depiction of the selected predicted lamp failures of the model.

11. The method of claim 7, further comprising an act of generating the GUI to include a graphical depiction of at least one of actual and requested dimming status, burning hours, lamp voltage, current, power, mains voltage, and average levels, for at least one lamp which is selected by the user of the plurality of lamps.

12. The method of claim 7, further comprising an act of generating the GUI to include a graphical depiction of at least one of actual and requested dimming status, burning hours, lamp voltage, current, power, mains voltage, and average levels for a group of lamps which is selected by the user of the plurality of lamps.

13. The method of claim 7, further comprising an act of generating the GUI to further comprise at least one quality measure indicating quality of a corresponding measure and determined in accordance with the lighting logging information.

14. A computer program stored on a computer readable memory medium, the computer program configured to determine performance of a lighting system, the computer program comprising:

a program portion configured to;

obtain lighting logging information related to operation of the lighting system from a lighting logging data portion;

model lamp failures with a bias in the lighting system to form a model at least in part in accordance with the lighting logging information and maintenance cost, the model having a time range and comprising at least one prediction model;

predict failures in the lighting system at future times at least in part in accordance the model;

form a graphical user interface which includes a graphical depiction of the model; and

render the GUI on a rendering device,

wherein a positive bias indicates that a lamp is predicted to fail sooner than expected, and a negative bias indicates that the lamp is predicted to fail later than expected.

15. The computer program of claim 14, wherein the program portion is further configured to generate the GUI to further comprise a menu option for a user to select at least one time which is within the time range of the model, wherein the program portion is further configured to:

select predicted lamp failures of the model in accordance with the user selected at least one time,

generate the GUI to further comprise a graphical depiction of the selected predicted lamp failures of the model, including at least one quality measure indicating quality of a corresponding measure and determined in accordance with the lighting logging information, and a graphical depiction of at least one of actual and requested dimming status, burning hours, lamp voltage, current, power, and mains voltage, for at least one lamp which is selected by the user of the plurality of lamps.

16-19. -19. (canceled)