Color temperature adjustment method and device, light source, display apparatus

Patent metadata

Field	Value
Publication number	US-10568178-B2
Application number	US-201715743047-A
Country	US
Kind code	B2
Filing date	Jun 8, 2017
Priority date	Jun 15, 2016
Publication date	Feb 18, 2020
Grant date	Feb 18, 2020

Abstract

The present disclosure provides a color temperature adjustment method, a color temperature adjustment device, a light source including the color temperature adjustment device, and a display apparatus including the light source. The color temperature adjustment method includes acquiring current environment information; obtaining a target color temperature corresponding to the current environment information by using fuzzy neutral network; and providing an electrical signal corresponding to the target color temperature to a light emitting unit so that a color temperature of the light emitting unit reaches the target color temperature.

First claim

The invention claimed is:

1. A color temperature adjustment method, comprising:
acquiring current environment information;
obtaining a target color temperature corresponding to the current environment information by using fuzzy neutral network; and
adjusting a color temperature of a light emitting unit to be the target color temperature,
wherein, before the step of acquiring the current environment information, the color temperature adjustment method further comprises:
for each type of environment information, setting a plurality of environment information fuzzy sets and a plurality of environment membership degree functions between the environment information and the plurality of environment information fuzzy sets; setting a plurality of color temperature fuzzy sets and a plurality of color temperature membership degree functions between color temperature and the plurality of color temperature fuzzy sets; and setting a correspondence rule between the environment information fuzzy sets and the color temperature fuzzy sets.

2. The color temperature adjustment method of claim 1 , wherein, the step of obtaining the target color temperature corresponding to the current environment information by using fuzzy neutral network comprises:
for each type of environment information, performing fuzzification on the current environment information according to the environment membership degree functions to obtain respective membership degrees of the current environment information with respect to the environment information fuzzy sets;
obtaining, through a neutral network model, applicability of each color temperature fuzzy set with respect to the current environment information according to the membership degrees of the current environment information with respect to the environment information fuzzy sets and the correspondence rule between the environment information fuzzy sets and the color temperature fuzzy sets; and
performing defuzzification on the color temperature fuzzy set with the maximum applicability according to the color temperature membership degree function, to obtain a color temperature corresponding to the maximum applicability as the target color temperature.

3. The color temperature adjustment method of claim 2 , wherein, the environment information comprises first environment information and second environment information; the environment information fuzzy sets comprise a plurality of first fuzzy sets for the first environment information and a plurality of second fuzzy sets for the second environment information; the environment membership degree functions comprise a plurality of first membership degree functions between the first environment information and the plurality of first fuzzy sets and a plurality of second membership degree functions between the second environment information and the plurality of second fuzzy sets; and the correspondence rule between the environment information fuzzy sets and the color temperature fuzzy sets comprises correspondence between a plurality of combination results, obtained by combining the plurality of first fuzzy sets and the plurality of second fuzzy sets, and the plurality of color temperature fuzzy sets.

4. The color temperature adjustment method of claim 3 , wherein, the neutral network model comprises an input layer, a hidden layer and an output layer which are sequentially arranged,
the input layer comprises a plurality of first membership degree nodes in one-to-one correspondence with the plurality of first fuzzy sets respectively and a plurality of second membership degree nodes in one-to-one correspondence with the plurality of second fuzzy sets respectively, an output value of each first membership degree node being a membership degree of the first environment information with respect to the first fuzzy set corresponding to the first membership degree node, and an output value of each second membership degree node being a membership degree of the second environment information with respect to the second fuzzy set corresponding to the second membership degree node;
the hidden layer comprises a plurality of combination result nodes in one-to-one correspondence with the plurality of combination results respectively, wherein when a P-th combination result is obtained by combining an i-th first fuzzy set and a j-th second fuzzy set, an output value of a P-th combination result node corresponding to the P-th combination result is calculated according to a following formula:
R P =min(μ1 i W 2 Pi ,μ2 j W 2 Pj )

where R p is the output value of the P-th combination result node, μ1 i is an output value of an i-th first membership degree node; μ2 j is an output value of a j-th second membership degree node; W2 Pi is a connection weight between the P-th combination result node and the i-th first membership degree node; and W2 Pj is a connection weight between the P-th combination result node and the j-th second membership degree node; and
the output layer comprises a plurality of output nodes in one-to-one correspondence with the plurality of color temperature fuzzy sets respectively, wherein an output value of each output node is applicability of a corresponding color temperature fuzzy set, and is calculated according to a following formula:
a Q =Σ p R p W 1 QP

where a Q is an output value of a Q-th output node, and W1 QP is a connection weight between the Q-th output node and the P-th combination result node.

5. The color temperature adjustment method of claim 2 , wherein, before the step of acquiring the current environment information, the color temperature adjustment method further comprises:
establishing an initial neutral network model, in which an initial value of each connection weight is in a range of [−1, 1]; and
training the initial neutral network model to adjust the connection weights of the neutral network model, and finishing establishment of the neutral network model when a training condition is met.

6. The color temperature adjustment method of claim 1 , wherein, the environment information comprises one or more of ambient luminous flux, current time, ambient atmosphere pressure, ambient temperature and weather.

7. The color temperature adjustment method of claim 3 , wherein, the first environment information is ambient luminous flux, the second environment information is current time; the plurality of first fuzzy sets are a plurality of luminous flux fuzzy sets, the plurality of second fuzzy sets are a plurality of time fuzzy sets; the environment membership degree functions comprise a plurality of luminous flux membership degree functions between the ambient luminous flux and the plurality of luminous flux fuzzy sets, and a plurality of time membership degree functions between the current time and the plurality of time fuzzy sets; the correspondence rule between the environment information fuzzy sets and the color temperature fuzzy sets comprises correspondence between a plurality of combination results, obtained by combining the plurality of luminous flux fuzzy sets and the plurality of time fuzzy sets, and the plurality of color temperature fuzzy sets.

8. The color temperature adjustment method of claim 7 , wherein, each of the plurality of luminous flux membership degree functions between the ambient luminous flux and the plurality of luminous flux fuzzy sets is a triangular membership degree function, each of the plurality of time membership degree functions between the current time and the plurality of time fuzzy sets is a triangular membership degree function, and each of the plurality of color temperature membership degree functions between the color temperature and the plurality of color temperature fuzzy sets is a triangular membership degree

Assignees

• Boe Technology Group Co Ltd
• Hefei Boe Display Lighting Co

Inventors

• Lv tu
• Shi Zuchuan

Classifications

• G06N3/02

  Neural networks · CPC title

• G09G3/3406 Primary

  Control of illumination source (illumination devices structurally associated with liquid crystal cells G02F1/1336) · CPC title

• G09G2360/144

  the light being ambient light · CPC title

• G09G3/22

  using controlled light sources · CPC title

• H05B45/20

  Controlling the colour of the light · CPC title