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WO2014060907A1 - Estimation de la dérive de sortie de capteur de lumière - Google Patents

Estimation de la dérive de sortie de capteur de lumière Download PDF

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Publication number
WO2014060907A1
WO2014060907A1 PCT/IB2013/059224 IB2013059224W WO2014060907A1 WO 2014060907 A1 WO2014060907 A1 WO 2014060907A1 IB 2013059224 W IB2013059224 W IB 2013059224W WO 2014060907 A1 WO2014060907 A1 WO 2014060907A1
Authority
WO
WIPO (PCT)
Prior art keywords
samples
light sensor
sensor output
output
drift
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/IB2013/059224
Other languages
English (en)
Inventor
Willem Peter Van Der Brug
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of WO2014060907A1 publication Critical patent/WO2014060907A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/02—Details
    • G01J1/0228—Control of working procedures; Failure detection; Spectral bandwidth calculation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/02—Details
    • G01J1/0238—Details making use of sensor-related data, e.g. for identification of sensor or optical parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G01J1/4204—Photometry, e.g. photographic exposure meter using electric radiation detectors with determination of ambient light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G01J2001/4266—Photometry, e.g. photographic exposure meter using electric radiation detectors for measuring solar light

Definitions

  • the invention relates generally to light sensors, more particularly to output- drift estimation for light sensor outputs, and to calibrating light sensor outputs.
  • Light sensors degrade over their lifetimes, causing their output signals to 'drift'. A light sensor's output signal will eventually drift to such an extent that recalibration or replacement is required. This is particularly relevant to outdoor light sensors, e.g. light sensors connected to streetlights. Such sensors are exposed to the natural environment and so tend to become covered with dirt etc., accelerating their degradation and so the drift of their output signals.
  • An object of the present invention is to provide a convenient method of estimating the drift of a light sensor output, which can be used to adaptively calibrate the light sensor output.
  • Embodiments of the invention take advantage of an assumption, namely: the amount of light received by an outdoor light sensor over a 365 -day period will be similar enough from one year to the next to be used as a reference value for estimating output drift. For instance, say a light sensor output is sampled 10 times per day, every day in the year 2013, and all of the samples are summed together into a total value which is stored for future reference. Then it would be assumed that approximately the same total value should be obtained by carrying out the same sample-and-sum process in, say, 2015, and that any substantial difference between the respective total values is due to output drift.
  • a first aspect of the invention provides an output-drift estimation method for a light sensor output, as recited in claim 1.
  • the method estimates drift based on the light sensor output itself. Therefore, the method does not require separate measurements to be taken, so it can be performed automatically and integrated into a lighting controller or into the light sensor itself, for example. Furthermore, by being based on the light sensor output itself, the method should be relatively robust to different rates of degradation between sensors, as compared with predictive methods of estimating drift.
  • the expected value mentioned in claim 1 may be representative of a further plurality of samples of the light sensor output, wherein all of the samples of the further plurality were sampled over a further, earlier period of 365 consecutive days.
  • the expected value will be based on empirical data and is likely to be more accurate than, say, a preset (estimated) value.
  • a second aspect of the invention provides a computer program product comprising a computer program, as recited in claim 8.
  • a third aspect of the invention provides a controller as recited in claim 9.
  • a fourth aspect of the invention provides a lighting fixture as recited in claim
  • Figure 1 schematically shows a lighting fixture according to an embodiment of the invention
  • Figure 2 is a flowchart summarizing a preliminary process performed by a controller of the lighting fixture shown in Figure 1 ; and Figure 3 is a flowchart summarizing an output-drift estimation method carried out by the controller, following the preliminary process of Figure 2.
  • an embodiment of the invention provides a lighting fixture 100 comprising a light sensor 110, a lighting unit 120, and a controller 130.
  • the light sensor 110 is a photodiode configured to output an electrical signal indicative of intensity of light incident thereupon.
  • the lighting unit 120 uses an LED-based light source to provide illumination, under control of the controller 130.
  • the controller 130 comprises a processor 160, memory 140 and a communications module 150 for communicating with the light sensor 110 and the lighting unit 120.
  • the processor 160 is connected to the memory 140 and the communications module 150.
  • the processor 160 is configured to provide a control signal to the lighting unit 120 for controlling the illumination in dependence on the output of the light sensor, and further configured to use the output-drift estimate (obtained via the method described below) to calibrate the output of the light sensor.
  • the memory 140 has stored therein one or more programs that, when executed by the processor 160, cause the controller 130 to perform the functions described below.
  • the controller 130 when the lighting fixture 100 is first deployed the controller 130 performs a preliminary process 200 whereby it determines an expected value for later use in estimating output drift.
  • the preliminary process 200 is carried out over a period of 365 days starting on the day the controller 130 is first activated. That day and each subsequent day of the period, the controller 130 receives 210 via the communications module 150 a sample of the output of the light sensor 110.
  • the controller 130 stores 220 the received sample in the memory 140 and also adds it to a running total of the samples received so far. (On the first day of the period the running total will be zero, or another default value.)
  • the controller 130 determines 230 whether the received sample is the n h it has received.
  • n is 365 since, as noted above, the processor receives a respective sample every day over the period of 365 days starting when the controller 130 was first activated.
  • n may be smaller or greater depending on the rate at which samples are received over the 365 -day period. For instance, the controller 130 might receive one sample per week.
  • the controller 130 will wait to receive 210 a further sample; in this embodiment, it will be received the following day.
  • the controller 130 In response to determining 230 that the received sample is the n h it has received, the controller 130 stores 240 in the memory 140 the running total of the samples received so far, as a value which is representative of all of the received samples of the light sensor output. Then the preliminary process 200 ends.
  • stored in the memory 140 are: the n samples received over the 365-day period; and the representative value, which will be used as an expected value in the drift-estimation process described below.
  • each day the controller 130 receives 310 via the communications module 150 a further sample of the output of the light sensor 110, and then uses the further sample to compute a new representative value.
  • the new representative value will be representative of a plurality of received samples of the output of the light sensor 110, wherein all of the samples were sampled (and received) over the most recent period of 365 consecutive days (i.e. including the further sample, which was received "today").
  • the controller 130 retrieves 321 from the memory 140 a previous representative value.
  • the previous representative value is representative of the plurality of samples of the output of the light sensor 110 from the immediately preceding 365 consecutive days (i.e. up to and including "yesterday").
  • the previous representative value will be the representative value that was determined and stored during the preliminary process 200.
  • the controller 130 also retrieves from memory, and subtracts 322 from the previous representative value, the oldest sample from which the previous representative value was, in part, derived. In the first instance, the oldest sample will be the one that was received on the first day of the preliminary process 200.
  • the controller 130 also adds 323 the further sample to the previous representative value. Thus the new representative value is obtained.
  • the most recent period of 365 consecutive days (from which the new representative value is derived) will overlap the initial period of 365 consecutive days from which the expected value is derived, so the respective values will have at least 1 sample in common.
  • the controller 130 then receives 330 an expected value, which in this embodiment comprises retrieving the expected value from the memory 140.
  • the expected value is the representative value that was determined and stored during the preliminary process 200; thus, with respect to the new representative value, it is representative of a further plurality of samples of the light sensor output, wherein all of the sample of the second plurality were sampled over an (initially overlapping) earlier period of 365 consecutive days.
  • the controller 130 uses the expected value and the new representative value to compute 340 an estimate of the drift of the light sensor output; the estimate is proportional to the extent of any difference between those two values, and may e.g. be expressed as a percentage of the expected value.
  • controller 130 stores the further sample and the new representative value, which ends the current iteration of the drift-estimation method 300.
  • the further sample is stored in replacement of the oldest sample, in order to conserve memory resources.
  • the preliminary method 200 can be omitted.
  • suitable replacements for the resulting n samples and the representative value are derived and pre-stored in the memory e.g. "hard-coded" during manufacture.
  • the controller can, in an embodiment, perform the output-drift estimation method 300 as soon as it is deployed.
  • the controller could receive a daily value representative of (e.g. an average of) two or more consecutive samples of the output of the light sensor. In which case the controller would be summing and averaging the samples, albeit with averaging being performed by the sensor.
  • the light sensor could provide a daily integrated (i.e. averaged) output.
  • the integrated output could comprise a value which is the average of samples taken at 1 -minute intervals over a 24-hour period.
  • the sampling rate would be no less than the Nyquist rate, but aberrations caused by subsampling should average to 0 so sampling at less than the Nyquist rate is acceptable.
  • the controller received samples and computed a value representative thereof
  • the representative value may be computed elsewhere (e.g. in the sensor itself) and forwarded to the controller for comparison with the expected value.
  • the lighting fixture 100 may be any arrangement of one or more lighting units in a particular form factor, assembly, or package.
  • a given lighting unit may include one or more light sources of same or different types, and may have any one of a variety of mounting arrangements for the light source(s), enclosure/housing
  • a given lighting unit optionally may be associated with (e.g., include, be coupled to and/or packaged together with) various other components (e.g., control circuitry) relating to the operation of the light source(s).
  • various other components e.g., control circuitry
  • the light source may be any one or more of a variety of radiation sources. These include LED-based sources, incandescent sources (e.g., filament lamps, halogen lamps), fluorescent sources, phosphorescent sources, high-intensity discharge sources (e.g., sodium vapor, mercury vapor, and metal halide lamps), lasers, other types of electroluminescent sources, pyro-luminescent sources (e.g., flames), candle-luminescent sources (e.g., gas mantles, carbon arc radiation sources), photo-luminescent sources (e.g., gaseous discharge sources), cathode luminescent sources using electronic satiation, galvano- luminescent sources, crystallo-luminescent sources, kine- luminescent sources, thermoluminescent sources, tribo luminescent sources, sonoluminescent sources, radio luminescent sources, and luminescent polymers.
  • LED-based sources e.g., incandescent sources (e.g., filament lamps,
  • the light sensor may be any device configured to provide a signal indicative of one or more aspects of light when exposed thereto.
  • Light sensors can further comprise light filters or other optical elements which can be used to affect the response characteristics of the light sensor, for example by increasing or decreasing responsiveness to incident light at one or more wavelengths.
  • the memory may be any suitable storage media, such as one or more of: volatile and non-volatile computer memory such as RAM, PROM, EPROM, and EEPROM, floppy disks, compact disks, optical disks, magnetic tape, etc.
  • volatile and non-volatile computer memory such as RAM, PROM, EPROM, and EEPROM
  • floppy disks such as compact disks, optical disks, magnetic tape, etc.
  • program or “computer program” are used herein in a generic sense to refer to any type of computer code (e.g., software or microcode) that can be employed to program one or more processors or controllers.
  • a single processor or other unit may fulfill the functions of several items recited in the claims.
  • the mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

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  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

La présente invention concerne un procédé d'estimation de la dérive de sortie (300) pour une sortie de capteur de lumière comprenant les étapes suivantes : l'obtention (320) d'une valeur représentative d'une pluralité d'échantillons de la sortie de capteur de lumière, tous les échantillons ayant été prélevés sur au moins une période de 365 jours consécutifs ; la détermination d'une différence entre la valeur reçue et une valeur attendue ; et le calcul (340) d'une estimation de dérive de sortie sur la base de la différence déterminée. Ainsi, l'invention fournit un procédé pratique d'estimation de la dérive d'une sortie de capteur de lumière, qui peut être utilisé pour le calibrage adaptatif de la sortie de capteur de lumière.
PCT/IB2013/059224 2012-10-17 2013-10-09 Estimation de la dérive de sortie de capteur de lumière Ceased WO2014060907A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261714848P 2012-10-17 2012-10-17
US61/714,848 2012-10-17

Publications (1)

Publication Number Publication Date
WO2014060907A1 true WO2014060907A1 (fr) 2014-04-24

Family

ID=49880856

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2013/059224 Ceased WO2014060907A1 (fr) 2012-10-17 2013-10-09 Estimation de la dérive de sortie de capteur de lumière

Country Status (1)

Country Link
WO (1) WO2014060907A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3062074A1 (fr) * 2015-02-27 2016-08-31 Axis AB Procédé et système permettant de détecter un besoin de réétalonnage d'un microbolomètre, procédé et système pour réétalonner un microbolomètre
CN112924040A (zh) * 2019-12-05 2021-06-08 安讯士有限公司 热感摄像机运行状况监控

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10185615A (ja) * 1996-12-24 1998-07-14 Diamond Electric Mfg Co Ltd 経年変化に対応したセンサ補正装置
US20080319695A1 (en) * 2007-06-19 2008-12-25 Seiko Epson Corporation Sensing circuit, optical detection circuit, display device, and electronic apparatus
JP2009058342A (ja) * 2007-08-31 2009-03-19 Seiko Epson Corp センシング回路、光検出回路、電気光学装置および電子機器
JP2009257813A (ja) 2008-04-14 2009-11-05 Epson Imaging Devices Corp 光量検出回路及び表示装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10185615A (ja) * 1996-12-24 1998-07-14 Diamond Electric Mfg Co Ltd 経年変化に対応したセンサ補正装置
US20080319695A1 (en) * 2007-06-19 2008-12-25 Seiko Epson Corporation Sensing circuit, optical detection circuit, display device, and electronic apparatus
JP2009058342A (ja) * 2007-08-31 2009-03-19 Seiko Epson Corp センシング回路、光検出回路、電気光学装置および電子機器
JP2009257813A (ja) 2008-04-14 2009-11-05 Epson Imaging Devices Corp 光量検出回路及び表示装置

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3062074A1 (fr) * 2015-02-27 2016-08-31 Axis AB Procédé et système permettant de détecter un besoin de réétalonnage d'un microbolomètre, procédé et système pour réétalonner un microbolomètre
CN112924040A (zh) * 2019-12-05 2021-06-08 安讯士有限公司 热感摄像机运行状况监控

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