CN108430141B - A kind of autocontrol method of the ambient light illumination based on feed forward prediction - Google Patents
A kind of autocontrol method of the ambient light illumination based on feed forward prediction Download PDFInfo
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses a kind of autocontrol methods of ambient light illumination based on feed forward prediction, it include: to first confirm that control equipment and controlled device are in same room, then the initial bright dark threshold value of environment is obtained, when study is more than two days later, judge that whether environment light mutates and the variation tendency of environment light, learns the daily schedule of user, learns the bright black dull threshold value of user, it is carried out automatically controlling according to the bright dark threshold value learnt, and habit is corrected depending on the user's operation.Beneficial effects of the present invention: manually adjusting by using automatically controlling to combine, not only can use up habit according to user to execute lamp with auto-switch, eliminates the cumbersome of manual switch, while can change according to environment light to carry out automatically controlling, economizes on resources.
Description
Technical field
The present invention relates to automation control area, it particularly relates to a kind of ambient light illumination based on feed forward prediction from
Flowing control method.
Background technique
On the one hand, also increasing to the application of electric energy with rapid development of economy, while waste of energy phenomenon also day
Become serious, especially indoors or some public places, headlamp are usually lighted, irrespective of whether someone exists；On the other hand, by
There are different usage scenarios in light, user is also different to light demand.Therefore electric energy illumination is more and more important, now universal
The lighting energy saving mode of use has acoustic control, contact control etc., although facilitating many in usage experience, cannot achieve completely
Intelligentized switch and adjusting.
For the problems in the relevant technologies, currently no effective solution has been proposed.
Summary of the invention
For above-mentioned technical problem in the related technology, the present invention propose a kind of ambient light illumination based on feed forward prediction from
Flowing control method can be realized light intelligent control.
To realize the above-mentioned technical purpose, the technical scheme of the present invention is realized as follows:
A kind of autocontrol method of the ambient light illumination based on feed forward prediction, which comprises the following steps:
S1 turns on light the photosensitive reading on front-rear switch by comparing, and confirmation control equipment and controlled device are in the same room
Between；
S2 obtains the initial bright threshold value of environment: hi=L_STD+ (Day_Max-L_STD)/2 when study is no more than 2 days,
Initial dark threshold value: lo=Day_Min+ (L_STD-Day_Min)/4+ (Day_Max-L_STD)/4, dark=Day_Min+ (L_
STD-Day_Min)/8, wherein Day_Max is the maximum value of photosensitive reading in one day, and Day_Min is photosensitive reading in one day
Minimum value, L_STD are the maximum value of the photosensitive reading in the environment that natural light is 0；
S3 judges whether environment light dashes forward after getting environment initially bright black dull threshold value or after study was more than 2 days
The variation tendency of change and environment light:
S31 calculates the photosensitive reading difference that sampling interval is 2 seconds: GAP=T (i)-T (i-2)；
If S32 GAP-50=0, illustrate that environment light does not mutate；
If GAP-50 > 0 S33, illustrate that the mutation to brighten suddenly occurs for environment light；
If GAP-50 < 0 S34, illustrate that mutation dimmed suddenly occurs for environment light；
S35 judges the variation tendency of a secondary environment light for every 5 minutes；
S4 learns the daily schedule of user, finally turn off the light daily to user the time and the application of daily first time lighting time it is poly-
Class algorithm finds the most common time of turning off the light as user's sleep onset time, and most common lighting time is slept as user and tied
The beam time；
S5 learns the bright dark threshold value of user, by turn on light front and back and turn off the light front and back bright of the user between 6 points to 19 points
Angle value is recorded, and when valid data reach 12 or more, is carried out clustering and is obtained bright threshold value and dark threshold value:
S6 learns the black threshold value of user, the photosensitive value of turn on light the manually front and back and front and back of turning off the light manually of user is collected, when having
Effect is turned on light and is turned off the light after number reaches 12 times, is carried out clustering and is obtained black threshold value Dark；
S7 is carried out automatically controlling according to the bright dark threshold value learnt, and habit is corrected depending on the user's operation.
Preferably, S5 is specifically included:
If the value before S51 user turns on light is greater than black threshold value+10, front and back lamplight brightness value of this time turning on light is recorded；
If the value before S52 user turns off the light is greater than the value before turning on light, and the value before turning on light is greater than 1 with the value difference after turning off the light, then
Record the lamplight brightness value for front and back of this time turning off the light；
S53 carries out clustering to front and back lamplight brightness value and the front and back lamplight brightness value of turning off the light of turning on light respectively, obtains
The cluster result lamped on and off；
If S54 cluster obtain turn on light after value be greater than user's light value user_L, wherein user_L=turn on light after lamp
Light value-turn on light before light value, then the value after what the dark threshold value Lo=of user was clustered turn on light；
If S55 Lo is greater than ambient brightness value Hi ', Lo=Hi ' after turning off the light.
Preferably, S7 is specifically included:
S71 obtains the daily schedule currently judged and bright black dull threshold value；
If S72 current time was in the time of having a rest of user, automatic control is disabled；
If S73 user's switch state is changed and in the open state:
If S731 current light is in bright threshold value, and current environment trend be brighten, and be greater than it is preceding once turn on light after value
It subtracts the value before turning on light and adds the value after turning on light, then enable automatic control；
If S732 current light is not at bright threshold value and in black region, automatic control is disabled；
If S733 current light is not at bright threshold value and is currently at environmental catastrophe state, automatic control is disabled；
If no change has taken place for S74 user's switch state:
If S741 switch state is to open and is manually, the difference with automatic control to be manually operated by judgement, sensitive to automatic control
Degree is modified；
If S742 switch state is to open and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control；
If S743 switch state is closing and is that manually, light value after turning off the light is in dark or black region, then disable certainly
Control, otherwise enables automatic control；
If S744 switch state is to close and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control.
Preferably, the environment that natural light is 0 in S2 is 21 points to 24 points.
Beneficial effects of the present invention: it is manually adjusted by using automatically controlling to combine, habit can be not only used up according to user
It is used to eliminate the cumbersome of manual switch, while can change according to environment light to be controlled automatically to execute lamp with auto-switch
System, economizes on resources.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of autocontrol method of the ambient light illumination based on feed forward prediction described according to embodiments of the present invention
Simplified diagram；
Fig. 2 is a kind of autocontrol method of the ambient light illumination based on feed forward prediction described according to embodiments of the present invention
The calculation method schematic diagram of environment light trend.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
As shown in Figure 1, the automatic control of a kind of ambient light illumination based on feed forward prediction according to embodiments of the present invention
Method, comprising the following steps:
Does S1 turn on light the photosensitive reading on front-rear switch by comparing, if the difference of the photosensitive reading is more than? (either with or without
Judgment criteria?), then confirm that control equipment and controlled device are in same room with them；
S2 obtains the initial bright threshold value of environment: hi=L_STD+ (Day_Max-L_STD)/2 when study is no more than 2 days,
Initial dark threshold value: lo=Day_Min+ (L_STD-Day_Min)/4+ (Day_Max-L_STD)/4, dark=Day_Min+ (L_
STD-Day_Min)/8, wherein Day_Max is the maximum value of photosensitive reading in one day, and Day_Min is photosensitive reading in one day
Minimum value, L_STD are the maximum value of the photosensitive reading in the environment that natural light is 0；Wherein, the environment that selected natural light is 0 is
21 points to 24 points.
S3 judges whether environment light dashes forward after getting environment initially bright black dull threshold value or after study was more than 2 days
The variation tendency of change and environment light:
S31 calculates the photosensitive reading difference that sampling interval is 2 seconds: GAP=T (i)-T (i-2)；
If S32 GAP-50=0, illustrate that environment light does not mutate；
If GAP-50 > 0 S33, illustrate that the mutation to brighten suddenly occurs for environment light；
If GAP-50 < 0 S34, illustrate that mutation dimmed suddenly occurs for environment light；
S35 judges the variation tendency of a secondary environment light for every 5 minutes；
S4 learns the daily schedule of user, finally turn off the light daily to user the time and the application of daily first time lighting time it is poly-
Class algorithm finds the most common time of turning off the light as user's sleep onset time, and most common lighting time is slept as user and tied
The beam time；
S5 learns the bright dark threshold value of user, by turn on light front and back and turn off the light front and back bright of the user between 6 points to 19 points
Angle value is recorded, and when valid data reach 12 or more, is carried out clustering and is obtained bright threshold value and dark threshold value:
If the value before S51 user turns on light is greater than black threshold value+10, front and back lamplight brightness value of this time turning on light is recorded；
If the value before S52 user turns off the light is greater than the value before turning on light, and the value before turning on light is greater than 1 with the value difference after turning off the light, then
Record the lamplight brightness value for front and back of this time turning off the light；
S53 carries out clustering to front and back lamplight brightness value and the front and back lamplight brightness value of turning off the light of turning on light respectively, obtains
The cluster result lamped on and off；
If S54 cluster obtain turn on light after value be greater than user's light value user_L, wherein user_L=turn on light after lamp
Light value-turn on light before light value, then the value after what the dark threshold value Lo=of user was clustered turn on light；
If S55 Lo is greater than ambient brightness value Hi ', Lo=Hi ' after turning off the light.
S6 learns the black threshold value of user, the photosensitive value of turn on light the manually front and back and front and back of turning off the light manually of user is collected, when having
Effect is turned on light and is turned off the light after number reaches 12 times, is carried out clustering and is obtained black threshold value Dar；
S7 is carried out automatically controlling according to the bright dark threshold value learnt, and habit is corrected depending on the user's operation:
S71 obtains the daily schedule currently judged and bright black dull threshold value；
If S72 current time was in the time of having a rest of user, automatic control is disabled；
If S73 user's switch state is changed and in the open state:
If S731 current light is in bright threshold value, and current environment trend be brighten, and be greater than it is preceding once turn on light after value
It subtracts the value before turning on light and adds the value after turning on light, then enable automatic control；
If S732 current light is not at bright threshold value and in black region, automatic control is disabled；
If S733 current light is not at bright threshold value and is currently at environmental catastrophe state, automatic control is disabled；
If no change has taken place for S74 user's switch state:
If S741 switch state is to open and is manually, the difference with automatic control to be manually operated by judgement, sensitive to automatic control
Degree is modified；
If S742 switch state is to open and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control；
If S743 switch state is closing and is that manually, light value after turning off the light is in dark or black region, then disable certainly
Control, otherwise enables automatic control；
If S744 switch state is to close and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control.
In order to facilitate understanding above-mentioned technical proposal of the invention, below by way of in specifically used mode to of the invention above-mentioned
Technical solution is described in detail.
When specifically used, a kind of automatic control side of the ambient light illumination based on feed forward prediction according to the present invention
Method, in whether being needed at the beginning to control equipment (switching) with controlled device (i.e. lamp) in same room with them, judgement for algorithm
Foundation for turn on light front and back photosensitive reading difference, if lamp and switch in same room, the difference of the photosensitive reading should be larger,
If the difference very little of photosensitive reading is even almost nil, it can determine whether lamp and switch not in same room.
In initially use switch, due to lacking the data of user's switch lamp operation, can not Applied Learning algorithm learn
User's habit, at this time by the maximum value Day_Max of photosensitive reading in one day, in one day photosensitive reading minimum value Day_Min
The initial of environment or interim bright dark threshold value are calculated with the maximum value L_STD of the photosensitive reading in the environment that natural light is 0, just
Begin bright threshold value: hi=L_STD+ (Day_Max-L_STD)/2, initial dark threshold value: lo=Day_Min+ (L_STD-Day_Min)/4
+ (Day_Max-L_STD)/4, initial black threshold value: dark=Day_Min+ (L_STD-Day_Min)/8.Wherein, natural light is selected
Environment for 0 is 21 points to 24 points.
After formally starting learning algorithm, need to consider the mutation of environment light and the trend of environment light, ambient light
Mutation refer to that the photosensitive reading in equipment changes suddenly, become larger suddenly or become smaller, specifically the step of judging are as follows:
S31 calculates the photosensitive reading difference that sampling interval is 2 seconds: GAP=T (i)-T (i-2)；
If S32 GAP-50=0, illustrate that environment light does not mutate；
If GAP-50 > 0 S33, illustrate that the mutation to brighten suddenly occurs for environment light；
If GAP-50 < 0 S34, illustrate that mutation dimmed suddenly occurs for environment light.
And in the judgement of environment light trend, specific calculating process are as follows:
A initializes nums=0, and photosensitive reading within acquisition 5 minutes；
B judges whether the process has occurred light sudden change；
If c does not mutate, the changing value absolute value SUM (| Ti-Ti+4 |), i=0,4 ... of adjacent ray value are calculated,
296；
D initializes i=0；
If f | Ti-Ti+4 | > 0, enable nums=nums+1, and i=i+4；
If | Ti-Ti+4 | < 0 or=0, i=i+4；
If i > 292, then next step g is carried out；
G enables T_mean=SUM/nums, recalculates undulating value, if more than T_mean, is then applied in Long-term change trend, no
Then abandon the value.
When learning the daily schedule of user, because user is during rest of sleeping and demand of the other times to light is
Different, so the daily schedule of study user is very important, the study of daily schedule is according to the daily last of user
Time and daily first time lighting time application clustering algorithm (k-means clustering algorithm) turn off the light come when finding most common turn off the light
Between and lighting time, this time of turning off the light just be used as user's sleep onset time, at the end of lighting time is just used as user to sleep
Between.The learning process of daily schedule is:
A. between, to all temporal clusterings of turning off the light second day morning 4:00, cluster result is as SS after 7 points of every morning；
B. record when 1. ambient light illumination is lower than black threshold value or dark threshold value daily and 2. turning on light between 4:00 AM to 10 points of morning
Time subtracts last time and turns off the light the maximum lighting time set of time interval.Wherein, if dark threshold value and when black threshold value is empty, environment shines
Degree need to be lower than 30；
C. the set of turning on light of satisfaction (b) is clustered.The largest number of clusters in clustering cluster are selected, as SE, if SS OR
SE then enables SS=-1OR SE=-1 without calculated result.
Here SS is exactly that user sleeps the time started, and SE is exactly that user sleeps the time terminated.
In addition, it is necessary to learn the bright dark threshold value of user, that is, study user likes turning off the light under what brightness, what is bright
It turns on light under degree.Main cluster process is exactly by the brightness value record before and after the switch lamp between user in the morning 6 points to 7 points at night
Get off, when effectively lamping on and off data and reaching 12 or more, is clustered, obtained using k-means clustering algorithm
To two results: bright threshold value, dark threshold value.Wherein, it during obtaining valid data, needs to do data cleansing, not by those
Reasonable switch lamp value is thrown away, and the value before such as turning off the light should be greater than the value before turning on light, and otherwise be considered as unreasonable.
After the daily schedule and bright dark threshold value for having learnt user, begin to come using the aforementioned obtained data that learn at this time
Realize automatically control, at this point, there is still a need for the operation manually controlled according to user come to decide whether open automatically control, specific mistake
Journey are as follows:
S71 obtains the daily schedule currently judged and bright black dull threshold value；
If S72 current time was in the time of having a rest of user, automatic control is disabled；
If S73 user's switch state is changed and in the open state:
If S731 current light is in bright threshold value, and current environment trend be brighten, and be greater than it is preceding once turn on light after value
It subtracts the value before turning on light and adds the value after turning on light, then enable automatic control；
If S732 current light is not at bright threshold value and in black region, automatic control is disabled；
If S733 current light is not at bright threshold value and is currently at environmental catastrophe state, automatic control is disabled；
If no change has taken place for S74 user's switch state:
If S741 switch state is to open and is manually, the difference with automatic control to be manually operated by judgement, sensitive to automatic control
Degree is modified；
If S742 switch state is to open and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control；
If S743 switch state is closing and is that manually, light value after turning off the light is in dark or black region, then disable certainly
Control, otherwise enables automatic control；
If S744 switch state is to close and is automatically, light value after turning on light is in bright area, then disables automatic control, no
Then enable automatic control.
Finally, passing through the continuous feedback operation of user, the result of automatic control is iterated the optimization, it is best in the hope of reaching
Automatic control effect.
In conclusion being manually adjusted by using automatically controlling to combine, not only by means of above-mentioned technical proposal of the invention
Habit can be used up according to user to execute lamp with auto-switch, eliminate the cumbersome of manual switch, while can be according to ambient light
Light changes to carry out automatically controlling, and economizes on resources.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of autocontrol method of the ambient light illumination based on feed forward prediction, which comprises the following steps:
S1 turns on light the photosensitive reading on front-rear switch by comparing, to confirm that control equipment and controlled device are in the same room
Between；
S2 obtains the initial bright threshold value of environment: hi=L_STD+ (Day_Max-L_STD)/2, initially when study is no more than 2 days
Dark threshold value: lo=Day_Min+ (L_STD-Day_Min)/4+ (Day_Max-L_STD)/4, initial black threshold value: dark=Day_Min
+ (L_STD-Day_Min)/8, wherein Day_Max is the maximum value of photosensitive reading in one day, and Day_Min is photosensitive reading in one day
Several minimum values, L_STD are the maximum value of the photosensitive reading in the environment that natural light is 0；
S3 is after getting environment initial bright black dull threshold value or after study was more than 2 days, judge environment light whether mutate and
The variation tendency of environment light:
S31 calculates the photosensitive reading difference that sampling interval is 2 seconds: GAP=T (i)-T (i-2)；
If GAP-50=0 S32, illustrate that environment light does not mutate；
If GAP-50 > 0 S33, illustrate that the mutation to brighten suddenly occurs for environment light；
If GAP-50 < 0 S34, illustrate that mutation dimmed suddenly occurs for environment light；
S35 judges the variation tendency of a secondary environment light for every 5 minutes；
S4 learns the daily schedule of user, finally turn off the light daily to user time and the application cluster calculation of daily first time lighting time
Method finds the most common time of turning off the light as user's sleep onset time, at the end of most common lighting time is slept as user
Between；
S5 learns the bright dark threshold value of user, by the brightness value of turn on light front and back and turn off the light front and back of the user between 6 points to 19 points
It records, when valid data reach 12 or more, carries out clustering and obtain bright threshold value and dark threshold value；
S6 learns the black threshold value of user, collects the photosensitive value of turn on light the manually front and back and front and back of turning off the light manually of user, opens when effectively
After lamp and number of turning off the light reach 12 times, carries out clustering and obtain black threshold value Dark；
S7 is carried out automatically controlling according to the bright dark threshold value learnt, and habit is corrected depending on the user's operation.
2. the autocontrol method of the ambient light illumination according to claim 1 based on feed forward prediction, which is characterized in that S5 tool
Body includes:
If the value before S51 user turns on light is greater than black threshold value+10, front and back lamplight brightness value of this time turning on light is recorded；
If the value before S52 user turns off the light is greater than the value before turning on light, and the value before turning on light is greater than 1 with the value difference after turning off the light, then records
The lamplight brightness value of this front and back of turning off the light；
S53 carries out clustering to front and back lamplight brightness value and the front and back lamplight brightness value of turning off the light of turning on light respectively, is turned on light
With the cluster result turned off the light；
If the value after what S54 cluster obtained turn on light is greater than user's light value user_L, wherein the light after user_L=turn on light
Light value before being worth-turning on light, the then value after what dark threshold value Lo=cluster of user obtained turn on light；
If S55 Lo is greater than ambient brightness value Hi ', Lo=Hi ' after turning off the light.
3. the autocontrol method of the ambient light illumination according to claim 1 based on feed forward prediction, which is characterized in that S7 tool
Body includes:
S71 obtains the daily schedule currently judged and bright black dull threshold value；
If S72 current time was in the time of having a rest of user, automatic control is disabled；
If S73 user's switch state is changed and in the open state:
If S731 current light is in bright threshold value, and current environment trend be brighten, and be greater than it is preceding once turn on light after value subtract
Value before turning on light adds the value after turning on light, then enables automatic control；
If S732 current light is not at bright threshold value and in black region, automatic control is disabled；
If S733 current light is not at bright threshold value and is currently at environmental catastrophe state, automatic control is disabled；
If no change has taken place for S74 user's switch state:
If S741 switch state be to open and be manually, by judgement manual operation and the difference of automatic control, to automatic control sensitivity into
Row amendment；
If S742 switch state is to open and is automatically, light value after turning on light is in bright area, then disables automatic control, otherwise
Enable automatic control；
If S743 switch state is to close and is that manually, light value after turning off the light is in dark or black region, then automatic control is disabled,
Otherwise automatic control is enabled；
If S744 switch state is to close and is automatically, light value after turning on light is in bright area, then disables automatic control, otherwise
Enable automatic control.
4. the autocontrol method of the ambient light illumination according to claim 1 based on feed forward prediction, which is characterized in that in S2
The environment that natural light is 0 is 21 points to 24 points.
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| CN109257859B (en) * | 2018-10-24 | 2020-11-24 | 江西珉轩智能科技有限公司 | Light control equipment, high in clouds server and light control system |
| CN112040615B (en) * | 2020-08-20 | 2022-12-27 | 宁波凯耀电器制造有限公司 | Light control method and circuit for lamp |
| CN112074057A (en) * | 2020-10-16 | 2020-12-11 | 杭州涂鸦信息技术有限公司 | Lamp control method and related equipment thereof |
| CN113179569A (en) * | 2021-04-28 | 2021-07-27 | 河北红岸基地科技有限公司 | AI control method of intelligent lamp |
| CN117222079A (en) * | 2023-10-10 | 2023-12-12 | 东莞市粤广创照明有限公司 | Lighting control system based on home network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010009783A (en) * | 2008-06-24 | 2010-01-14 | Panasonic Electric Works Co Ltd | Lighting fixture |
| CN102404919A (en) * | 2011-12-02 | 2012-04-04 | 张伟 | Bedside energy-saving induction lamp |
| CN104869695A (en) * | 2015-03-31 | 2015-08-26 | 繁昌县博通电子商务有限公司 | Indoor intelligent control lamp at public place |
| CN106488634A (en) * | 2016-12-09 | 2017-03-08 | 西华大学 | Room brilliancy automatic control system |
-
2017
- 2017-12-26 CN CN201711436812.0A patent/CN108430141B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010009783A (en) * | 2008-06-24 | 2010-01-14 | Panasonic Electric Works Co Ltd | Lighting fixture |
| CN102404919A (en) * | 2011-12-02 | 2012-04-04 | 张伟 | Bedside energy-saving induction lamp |
| CN104869695A (en) * | 2015-03-31 | 2015-08-26 | 繁昌县博通电子商务有限公司 | Indoor intelligent control lamp at public place |
| CN106488634A (en) * | 2016-12-09 | 2017-03-08 | 西华大学 | Room brilliancy automatic control system |
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