CN110958750B - Lighting equipment control method and device - Google Patents
Lighting equipment control method and device Download PDFInfo
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- CN110958750B CN110958750B CN201811119853.1A CN201811119853A CN110958750B CN 110958750 B CN110958750 B CN 110958750B CN 201811119853 A CN201811119853 A CN 201811119853A CN 110958750 B CN110958750 B CN 110958750B
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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
Abstract
The invention discloses a lighting device control method and device. Wherein, the method comprises the following steps: acquiring reaction information of a user to the lighting equipment, wherein the reaction information comprises at least one of the following: voice information, motion information, expression information; with reaction information input model of adjusting luminance, by the control command information that the model output of adjusting luminance corresponds with reaction information, wherein, the model of adjusting luminance is for using multiunit training data, through machine learning training reachs, and every group data in the multiunit training data all includes: the reaction information and control instruction information corresponding to the reaction information; and adjusting and controlling the lighting equipment according to the control instruction information. The invention solves the technical problem that the intelligent adjustment lighting equipment in the related technology cannot meet the differentiated requirements of different individual users, so that the optimal lighting scheme cannot be formed for the specific user.
Description
Technical Field
The invention relates to the technical field of illumination, in particular to a method and a device for controlling illumination equipment.
Background
With the development of lighting technology, healthy and energy-saving intelligent lighting becomes a trend, and research shows that different lighting environments can generate different influences on human bodies, so that the smart home is the mainstream direction of the development of the current electrified equipment, and how to enable the lighting equipment of the smart home to better meet the healthy lighting requirements of users. Therefore, a large utilization space exists in smart homes. At present, the research on the photo-biological effect is gradually paid more and more attention by the industry, models of various parameters are proposed one after another, but no accepted evaluation model exists all the time, and meanwhile, each person has individual difference and the requirement on the illumination parameters also has certain difference. Research shows that the subjective feeling of a human body on illumination can reflect the influence of the photo-biological effect to a certain extent, so that a parameter fine adjustment system is constructed based on a photo-biological effect model from the subjective feeling, the dimming system can be more scientific and effective, the different requirements of different individuals can be met, and the lighting mode suitable for the optimal comfort level of a user can be effectively established. In the existing lighting technology, besides the traditional manual control through a switch, the lighting equipment can be controlled through sound, illumination and the like, and the technologies are all technologies for adjusting and controlling the lighting equipment based on the external environment where the lighting equipment is located.
Therefore, in the related art, the intelligent adjustment lighting device cannot meet the differentiated requirements of different individual users, and cannot form an optimal lighting scheme for a specific user.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a lighting device control method and a lighting device control device, which at least solve the technical problem that in the related art, the intelligent adjustment lighting device cannot meet the differentiated requirements of different individual users, so that the optimal lighting scheme cannot be formed for specific users.
According to an aspect of an embodiment of the present invention, there is provided a lighting device control method including: acquiring reaction information of a user to the lighting equipment, wherein the reaction information comprises at least one of the following: voice information, motion information, expression information; inputting the reaction information into a dimming model, and outputting control instruction information corresponding to the reaction information by the dimming model, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: reaction information and control instruction information corresponding to the reaction information; and adjusting and controlling the lighting equipment according to the control instruction information.
Optionally, the obtaining of the reaction information of the user to the lighting device comprises: receiving an instruction sent by a user to turn on the lighting equipment; and controlling the lighting equipment to be turned on according to the instruction.
Optionally, the response information of the user to the lighting device is response information based on a photo-biological effect, and the response information includes at least one of the following: response information for thermal effects, response information for photochemical effects, response information for stimulatory effects.
Optionally, controlling to turn on the lighting device according to the instruction comprises: determining the behavior action state of the user; and controlling the lighting equipment according to the behavior action state.
Optionally, controlling the lighting device according to the behavioral action state comprises: determining a first operating parameter of the lighting device according to the behavior action state; controlling the lighting device according to the first operating parameter.
Optionally, the adjusting and controlling the lighting device according to the control instruction information includes: determining a second operating parameter of the lighting device according to the control instruction information; and carrying out stepless adjustment on the lighting equipment according to the second operation parameter.
Optionally, the information according to the control instruction includes at least one of the following: and outputting the color, frequency range and flicker frequency of the light.
According to another aspect of the embodiments of the present invention, there is also provided a lighting device control apparatus including: the acquisition module is used for acquiring reaction information of a user to the lighting equipment, wherein the reaction information comprises at least one of the following: voice information, motion information, expression information; the dimming module is used for inputting the reaction information into a dimming model, and the dimming model outputs control instruction information corresponding to the reaction information, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: reaction information and control instruction information corresponding to the reaction information; and the control module is used for adjusting and controlling the lighting equipment according to the control instruction information.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium stores program instructions, and the program instructions, when executed, control a device on the storage medium to execute any one of the above methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform the method described in any one of the above.
In an embodiment of the present invention, obtaining reaction information of a user to a lighting device is adopted, wherein the reaction information includes at least one of the following: voice information, motion information, expression information; inputting the reaction information into a dimming model, and outputting control instruction information corresponding to the reaction information by the dimming model, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: reaction information and control instruction information corresponding to the reaction information; according to the mode of adjusting and controlling the lighting equipment by the control instruction information, the purpose of correspondingly adjusting the lighting equipment according to the response information of the user is achieved through the dimming model, so that the technical effect that the lighting equipment can meet the differentiation requirements of different individual users is achieved, and the technical problem that the intelligent adjustment lighting equipment in the related technology cannot meet the differentiation requirements of different individual users, and the optimal lighting scheme cannot be formed for the specific user is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a lighting device control method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a lighting device control apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the invention, there is provided an embodiment of a lighting device control method, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a lighting device control method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, obtaining reaction information of the user on the lighting device, wherein the reaction information includes at least one of the following: voice information, motion information, expression information;
step S104, inputting the reaction information into a dimming model, and outputting control instruction information corresponding to the reaction information by the dimming model, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: the reaction information and control instruction information corresponding to the reaction information;
and step S106, adjusting and controlling the lighting equipment according to the control instruction information.
Through the steps, the method can be used for acquiring the reaction information of the user to the lighting equipment, wherein the reaction information comprises at least one of the following steps: voice information, motion information, expression information; with reaction information input model of adjusting luminance, by the control command information that the model output of adjusting luminance corresponds with reaction information, wherein, the model of adjusting luminance is for using multiunit training data, through machine learning training reachs, and every group data in the multiunit training data all includes: the reaction information and control instruction information corresponding to the reaction information; according to the mode of adjusting and controlling the lighting equipment according to the control instruction information, the purpose of correspondingly adjusting the lighting equipment according to the response information of the user is achieved through the dimming model, so that the technical effect that the lighting equipment can meet the differentiation requirements of different individual users is achieved, and the technical problem that the intelligent adjusting lighting equipment in the related technology cannot meet the differentiation requirements of different individual users, and the optimal lighting scheme cannot be formed for the specific user is solved.
When the reaction information of the user to the lighting device is obtained, the reaction information can be obtained by the information acquisition device. The information acquisition equipment can be a camera, a video recorder, a sensor and the like. The information acquisition equipment is arranged in a space where the lighting equipment is located, and comprises the installation position of the lighting equipment and an area which can be influenced by the lighting equipment during work. The response information is external expression information of a user based on subjective feeling of a photo-biological effect, specifically, the response information may be a physiological response of the user under a lighting condition, and may include voice information, motion information, expression information, and the like. For example, under the working condition of the lighting device, the brightness of the light is too high, so that the user can unconsciously or unconsciously speak the voice information such as "too bright", "dazzling" and "wasting electricity", and may also make the action information of covering the eyes with hands or avoiding the light-emitting part, and some uncomfortable expressions may appear on the face.
The dimming model can be obtained through machine learning training, and the constructed dimming model is trained through a large amount of reaction information and corresponding control instruction information until the model converges. The finally obtained trained light modulation model can obtain corresponding control instruction information according to the obtained reaction information of the user. It should be noted that the dimming model may identify response information of one or more users. The light biological effect is utilized to establish the light modulation model based on the photo biological effect, the light modulation model can be trained according to the voice information of the user identified by the intelligent voice identification technology, and/or the action information of the user identified by the intelligent action identification technology, and/or the expression information of the user identified by the intelligent facial expression identification technology, so that the light modulation model can adjust the intelligent lighting equipment according to the voice information and/or the action information and/or the expression information of the user, and the light brightness, the gray scale, the contrast ratio and the like of the intelligent lighting equipment can be output by the light modulation model. The intelligent illumination of above-mentioned model of adjusting luminance in combination light biological effect can effectively improve lighting apparatus to the individual suitability of different differences. The lighting requirements of the user in the environment at the moment can be determined by real-time identification of the user, and the flexibility and the practicability of detection are greatly improved.
Further, the lighting device performs corresponding adjustment control according to the control instruction information output by the dimming model, so that real-time adjustment can be realized, and the adjustment frequency, the adjustment time interval and the like can be set according to the living habits of users. And then effectively satisfied different individual healthy demands to the difference of intelligent lighting for the intelligent degree of intelligence house is higher.
Optionally, the obtaining of the reaction information of the user to the lighting device comprises: receiving an instruction sent by a user to turn on the lighting equipment; and controlling the lighting equipment to be turned on according to the instruction.
Before acquiring the response information of the user to the lighting equipment, the user is required to turn on the lighting equipment, and the lighting equipment can further control the on-off of the lighting equipment according to instructions formed by the user through different triggering modes. The user may turn on the lighting device by pressing a lighting device switch, for example, pressing a peripheral physical switch of the lighting device, by touching a switch flag on the software, etc. The user may also control the lighting device to turn on by sound, motion, etc., for example, by turning on a voice control function, using a gesture, etc., to turn on or off the lighting device. The above-mentioned operation of turning on the lighting device generates a control command, and the lighting device is turned on after receiving a lighting device turning on command sent by a user. Furthermore, the lighting equipment can be selectively turned on in the above mode, a user can select some necessary lighting equipment according to the actual requirements of the user, unnecessary lighting equipment is turned off, and waste of power resources caused after the lighting equipment is completely turned on can be effectively avoided. For example, the lighting conditions can be adjusted separately for different locations, the lighting in a restaurant should be bright, warm, the lighting in a bedroom should be soft, etc., the user is in different areas, and the lighting adjustment criteria for the areas are different. By adopting the mode, the influence of adjusting the light on other people caused by one person not being happy can be avoided. For the adjusted light, it can be adjusted again by the remaining voice, action, emotion, etc.
Optionally, the response information of the user to the lighting device is response information based on a photo-biological effect, and the response information includes at least one of the following: response information for thermal effects, response information for photochemical effects, response information for stimulatory effects.
The user can generate reaction information of a certain photo-biological effect under the influence of the lighting equipment, and the reaction information based on the photo-biological effect can be reaction information of a heat effect, wherein the heat effect is that the light irradiates on the skin of a person to increase the temperature, so that the person feels heat; the reaction information based on the photo biological effect may be reaction information of a photochemical effect, wherein the photochemical effect is a biochemical reaction generated under the action of light; the response information based on the photo-biological effect may also be response information of a stimulation effect, wherein the stimulation effect refers to that when the light irradiates the biological tissue, the biological tissue is not directly damaged irreversibly, but an effect similar to a biological stimulation effect obtained by physical factors such as sound waves, acupuncture and the like is generated. The response information based on the photo-biological effect can be further converted into subjective feelings of the user on the lighting equipment, and is expressed in external forms such as language, action, expression and the like. The response information based on the photo-biological effect is subjective response generated under the stimulation of objective factors, and is greatly different from the control of a user for actively carrying out voice, action and the like in the prior art. The response information can scientifically and accurately reflect subjective feelings of different individuals on illumination, and the lighting equipment is controlled based on the response information, so that the applicability of the lighting equipment to different individuals is greatly improved.
Optionally, before controlling the lighting device to be turned on according to the instruction, the method includes: determining the behavior action state of the user; and controlling the lighting equipment according to the behavior action state.
The behavior and action states of the user can be voice, action, expression, etc., and for example, the lighting device is controlled by giving a voice command to the lighting device, using body gestures such as gestures or motion tracks, and using facial expressions such as joy, anger, sadness, etc. The control mode can control the lighting equipment to be turned on and off, and can also control the lighting equipment to be correspondingly adjusted. Compared with the regulation and regulation mode based on the response of the photo-biological effect, the regulation and control can regulate the lighting equipment according to the requirements of the user, can be carried out under the control of the subjective consciousness of the user, and has stronger subjectivity.
Optionally, the controlling the lighting device according to the behavioral action state comprises: determining a first operating parameter of the lighting device according to the behavioral action state; the lighting device is controlled in accordance with the first operating parameter.
The behavior action state of the user is an action of the user for controlling the lighting equipment, wherein a first operation parameter can be obtained according to the behavior action state, the first operation parameter is a parameter for controlling the lighting equipment to adjust and operate corresponding to the corresponding behavior action state, and the lighting equipment can be controlled by using the parameter. The control mode is carried out under the control of subjective consciousness, and has the characteristics of subjectivity and arbitrariness.
Optionally, the adjusting and controlling the lighting device according to the control instruction information includes: determining a second operating parameter of the lighting device according to the control instruction information; and carrying out stepless adjustment on the lighting equipment according to the second operation parameter.
When the control instruction information is used for adjusting and controlling the lighting equipment, the lighting equipment can be subjected to stepless adjustment according to the light parameters output by the dimming model, so that the lighting equipment can automatically detect the emotion or mental state of a user, and lighting conditions corresponding to the emotion or mental state are formed, thereby achieving the purpose of humanized lighting.
In the foregoing embodiment, as an optional embodiment, after the user returns home, there is a series of motions, voices and facial expressions, and the parameters are used to train the dimming model based on the photo-biological effect by collecting the voices, motions or facial expressions of the user, so that the characteristic parameters are used to adjust the smart lighting device through the dimming model based on the photo-biological effect. In general, the more frequently the user's movement changes, the greater the intensity of the lighting conditions required, but there may be special cases. For example, reading, illumination with a certain intensity is needed under the condition of no great motion change after long-time rest. Therefore, the state of the user can be determined by combining the motion information and the voice information. In addition, the mood of the user can be taken into account. For example sitting on a sofa, sometimes happy, sometimes sad, and sometimes exhausted, adjustments to lighting conditions may be made by collecting user motion information, speech information, and facial expression information, and controlling the lighting device according to the parameter input to a photobiological effect-based dimming model.
Optionally, the information according to the control instruction includes at least one of the following: and outputting the color, frequency range and flicker frequency of the light.
And obtaining control instruction information corresponding to the reaction information according to the reaction information of the user to the lighting equipment, and further realizing adjustment control on the lighting equipment, wherein the control instruction information comprises the color, the frequency band, the flicker frequency and the like of output light, so that the lighting equipment is automatically matched with the environment atmosphere where the user is located. For example, after the user returns home, other intelligent devices such as the intelligent sound box, the intelligent air conditioner, the intelligent television and the intelligent lighting are started, the sound of the environment where the user is located is collected, the parameters of the sound of the intelligent sound box, the temperature and humidity parameters of the intelligent air conditioner and the video parameters of the intelligent television are extracted, the dimming model based on the photo biological effect is trained according to the characteristic parameters, the characteristic parameters are adjusted through the dimming model based on the photo biological effect, and the lighting conditions matched with the characteristic parameters are selected for adjustment.
The dimming model is trained according to output parameters of other intelligent equipment of the intelligent home, so that the model outputs the flicker frequency, the color, the moving track and the like of the light, the intelligent lighting equipment processes the parameters output by the model to obtain the flicker frequency, the color, the moving track and the like of the actual lighting equipment, and the lighting equipment is automatically matched with the atmosphere of the environment where a user is located.
In addition, this lighting apparatus has memory function to light parameter, can record and save a certain group of light parameter according to user's instruction, can in time call when the user sends the call instruction, has avoided the process of readjusting once more, has improved the efficiency of illumination regulation greatly.
Fig. 2 is a schematic structural diagram of a lighting device control apparatus according to an embodiment of the present invention; as shown in fig. 2, the lighting device control apparatus includes: an acquisition module 22, a dimming module 24 and a control module 26. The lighting device control apparatus will be described in detail below.
An obtaining module 22, configured to obtain reaction information of a user on the lighting device, where the reaction information includes at least one of: voice information, motion information, expression information; the dimming module 24 is connected to the above-mentioned obtaining module 22, and is used for inputting the reaction information into the dimming model, and the control instruction information corresponding to the reaction information is output by the dimming model, wherein the dimming model is obtained through machine learning training for using multiple sets of training data, and each set of data in the multiple sets of training data includes: the reaction information and control instruction information corresponding to the reaction information; and a control module 26 connected to the dimming module 24 for adjusting and controlling the lighting device according to the control instruction information.
By the lighting equipment control device, the reaction information of the user to the lighting equipment can be acquired, wherein the reaction information comprises at least one of the following information: voice information, motion information, expression information; with reaction information input model of adjusting luminance, by the control command information that the model output of adjusting luminance corresponds with reaction information, wherein, the model of adjusting luminance is for using multiunit training data, through machine learning training reachs, and every group data in the multiunit training data all includes: the reaction information and control instruction information corresponding to the reaction information; according to the mode of adjusting and controlling the lighting equipment according to the control instruction information, the purpose of correspondingly adjusting the lighting equipment according to the response information of the user is achieved through the dimming model, so that the technical effect that the lighting equipment can meet the differentiation requirements of different individual users is achieved, and the technical problem that the intelligent adjusting lighting equipment in the related technology cannot meet the differentiation requirements of different individual users, and the optimal lighting scheme cannot be formed for the specific user is solved.
When the response information of the user to the lighting equipment is obtained, the response information can be obtained by information acquisition equipment, including a camera, a video recorder, a sensor and the like. The information acquisition equipment is arranged in a space where the lighting equipment is located, and comprises the installation position of the lighting equipment and an area which can be influenced by the lighting equipment during work. The response information is an external expression of the subjective feeling of the user based on the photo-biological effect, specifically, the response information may be a physiological response of the user under the illumination condition, and may include voice information, motion information, expression information, and the like. For example, under the working conditions of the lighting equipment, the brightness of the light is too high, so that the user can unconsciously or unconsciously say "too bright", "glaring", "waste electricity", and the like, and the user can also block the eyes or avoid the light-emitting part with hands, and some unsatisfactory expressions can appear on the face, and the like.
The dimming model is obtained through machine learning training, and the constructed dimming model is trained through a large amount of response information and corresponding control instruction information until the model converges. The finally obtained dimming model after training can obtain corresponding control instruction information according to the obtained reaction information of the user. It should be noted that, the dimming model can identify the reaction information of one or more users, and can accurately and quickly output the control instruction information corresponding to the reaction information. The method comprises the steps of establishing a light dimming model based on a photo-biological effect by utilizing a photo-biological effect, specifically training the light dimming model according to voice information of a user identified by an intelligent voice identification technology, and/or action information of the user identified by an intelligent action identification technology, and/or expression data of the user identified by an intelligent facial expression identification technology, so that the light dimming model can adjust the intelligent lighting equipment according to the voice information, the action information and/or the expression information of the user, and the model can output the brightness, the gray scale, the contrast and the like of light required by the intelligent lighting equipment. The intelligent illumination of above-mentioned model of adjusting luminance in combination light biological effect can effectively improve lighting apparatus to the individual suitability of different differences. The lighting requirements of the user in the environment at the moment can be determined by real-time identification of the user, the lighting requirements are determined according to theoretical empirical data, and detection flexibility and practicability are greatly improved.
Furthermore, the lighting equipment can perform corresponding adjustment control according to the control instruction information output by the dimming model, real-time adjustment can be realized, and the adjustment frequency, the adjustment time interval and the like can also be set according to the living habits of users. And then effectively satisfied different individual healthy demands to the difference of intelligent lighting for the intelligent degree of intelligence house is higher.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium storing program instructions, wherein when the program instructions are executed, the apparatus on which the storage medium is located is controlled to execute any one of the methods described above.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform the method of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A lighting device control method, comprising:
acquiring reaction information of a user to the lighting equipment, wherein the reaction information comprises at least one of the following: voice information, motion information, expression information;
inputting the reaction information into a dimming model, and outputting control instruction information corresponding to the reaction information by the dimming model, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: reaction information and control instruction information corresponding to the reaction information;
adjusting and controlling the lighting equipment according to the control instruction information;
wherein the reaction information of the user to the lighting device is reaction information based on photo-biological effect, and the reaction information comprises at least one of the following: reaction information of thermal effect, reaction information of photochemical effect, and reaction information of stimulation effect;
the lighting device has a memory function for the light parameters.
2. The method of claim 1, wherein obtaining the user response information to the lighting device comprises:
receiving an instruction sent by a user to turn on the lighting equipment;
and controlling the lighting equipment to be turned on according to the instruction.
3. The method of claim 2, wherein controlling the lighting device on in accordance with the instructions comprises:
determining the behavior action state of the user;
and controlling the lighting equipment according to the behavior action state.
4. The method of claim 3, wherein controlling the lighting device according to the behavioral action state comprises:
determining a first operating parameter of the lighting device according to the behavior action state;
controlling the lighting device according to the first operating parameter.
5. The method of claim 1, wherein performing adjustment control on the lighting device according to the control instruction information comprises:
determining a second operating parameter of the lighting device according to the control instruction information;
and carrying out stepless adjustment on the lighting equipment according to the second operation parameter.
6. The method according to any one of claims 1 to 5, wherein the control instruction information includes at least one of: and outputting the color, frequency range and flicker frequency of the light.
7. A lighting device control apparatus, comprising:
the acquisition module is used for acquiring reaction information of a user to the lighting equipment, wherein the reaction information comprises at least one of the following: voice information, motion information, expression information;
the dimming module is used for inputting the reaction information into a dimming model, and the dimming model outputs control instruction information corresponding to the reaction information, wherein the dimming model is obtained by using multiple groups of training data through machine learning training, and each group of data in the multiple groups of training data comprises: reaction information and control instruction information corresponding to the reaction information;
the control module is used for adjusting and controlling the lighting equipment according to the control instruction information;
wherein the reaction information of the user to the lighting device is reaction information based on photo-biological effect, and the reaction information comprises at least one of the following: reaction information of thermal effect, reaction information of photochemical effect, and reaction information of stimulation effect;
the lighting device has a memory function for the light parameters.
8. A storage medium storing program instructions, wherein the program instructions, when executed, control an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 6.
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| CN112788822B (en) * | 2021-01-11 | 2023-02-21 | 深圳协鑫智慧能源有限公司 | Intelligent lamp control method and intelligent lamp |
| CN116634638A (en) * | 2023-05-16 | 2023-08-22 | 珠海光通智装科技有限公司 | Light control strategy generation method, light control method and related device |
| CN117098282B (en) * | 2023-10-18 | 2024-01-09 | 硬创(济宁)控股有限公司 | Big data management system and method based on intelligent park |
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