CN111598636A - Customized method and system for personalized light scene - Google Patents

Abstract

The present invention provides a method for customizing a light scene for a user. The method includes the following steps: a scene generation step, loading randomly generated light parameters into a light unit; a scene update step, according to the user's evaluation information on the current light scene Adjust light parameters of at least a portion of the light units. The above method can facilitate users to customize the light scene according to their intuitive experience. The user only needs to make a subjective evaluation of the light scene during the customization process, without considering the specific values of the light parameters, helping ordinary users to customize the light scene more efficiently to suit their personal preferences. light scene.

Description

Customized method and system for personalized light scene

technical field

The present invention relates to the field of lighting, and in more detail, the present invention relates to the technical field of scene lighting control.

Background technique

At present, the intelligent development of lighting devices is rapid, and customers are more and more inclined to customize the lighting style of indoor, outdoor, stage and other scenes. However, for some situations with complex lighting effect requirements, for example, there are multiple light sources in the same scene and each light source needs to be set separately, multiple users in the same scene have different requirements for lighting effects, or the same When users have different lighting requirements in different occasions, it is difficult for ordinary users to customize a light scene that suits their personal preferences.

SUMMARY OF THE INVENTION

In view of the above problems in the prior art, the present invention provides a method for customizing a personalized light scene for a user, so as to help the user customize a light scene that fits his personal preference more efficiently.

The method provided by the present invention is used to customize a light scene for a user, and one or more light units are configured in the light scene, and the customization method includes the following steps:

The scene generation step is to load the randomly generated light parameters into the light unit;

In the scene updating step, the light parameters of at least a part of the light units are adjusted according to the user's evaluation information on the current light scene.

The above method can facilitate users to customize the light scene according to their intuitive experience. In the customization process, the user only needs to make a subjective evaluation of the light scene without considering the specific values of the light parameters, helping ordinary users to customize the light scene more efficiently to suit their personal preferences. light scene.

In a preferred technical solution of the present invention, the method further includes a preference analysis step: determining the user's preference for the current light scene according to the evaluation information.

Further, in a preferred technical solution of the present invention, the method further includes a scene saving step, if the preference degree is higher than the preset value, or if the evaluation information is not received within the preset time, then save the scene of the light unit. light parameters. By analyzing the user's preference and saving light scenes with a high degree of preference, it can help predict the user's preference for light scenes.

Further, in a preferred technical solution of the present invention, in the step of saving the scene, the light parameters are uploaded to the server, and the user information of the user is associated for saving. By saving the user's optical parameters and personal files on the server, a cloud database that suits the user's personal preferences can be established, and the systems that share the cloud database can quickly generate light scenes that meet the user's preferences.

Optionally, in a preferred technical solution of the present invention, the method further includes a scene recommendation step of loading the optical parameters downloaded from the server to the optical unit. The downloaded light parameters can be selected and downloaded from the data stored in the server based on the analysis of one or more selected from the user profile data, the current moment data, and the historical record data, so as to more effectively obtain the data that fits the user's personal preference. light scene.

Further, in a preferred technical solution of the present invention, the scene updating step includes the following steps: a target parameter determination step, if the preference degree is not higher than a preset value, determining whether the evaluation information includes the target parameter.

Further, in a preferred technical solution of the present invention, the scene update step includes: a random update step, if the evaluation information does not include target parameters, randomly generate at least a part of the light parameters of at least a part of the light units, and load them. Through the above methods, the user can first roughly and quickly select a light scene that is closer to his personal preference from random light scenes, and then make fine adjustments on the light scene, which improves the user's customization efficiency.

Further, in a preferred technical solution of the present invention, the scene updating step includes the following steps: an adjustment direction determination step, if the evaluation information includes target parameters, determining whether the evaluation information includes an adjustment direction for the target parameters.

Optionally, in a preferred technical solution of the present invention, the scene updating step includes: a random adjustment step of the target parameter, if the evaluation information does not include the adjustment direction, assign the target parameter with a randomly generated value and load it.

Optionally, in a preferred technical solution of the present invention, the scene update step includes: a target parameter directional adjustment step, if the evaluation information includes an adjustment direction, adjust and load the target parameters of at least a part of the light units according to the adjustment direction. The above manner can allow the user to modify the direction of specific parameters, and further improve the customization efficiency of the user.

Further optionally, in a preferred technical solution of the present invention, the step of adjusting the directionality of the target parameter includes: a step of determining the adjustment amplitude, determining the adjustment amplitude of the target parameter toward the target direction according to the evaluation information; In the step, the target parameter is adjusted within the determined adjustment range.

Further optionally, in a preferred technical solution of the present invention, in the step of adjusting the directionality of the target parameter, the target parameter is adjusted with a randomly generated step size.

In a preferred technical solution of the present invention, in the preference analysis step, the user's preference for the current light scene is determined based at least in part on a semantic recognition method or an expression recognition method. Semantic recognition and facial expression recognition methods can more effectively capture the user's subjective response, and thus more accurately reflect the user's preference for the current light scene.

In a preferred technical solution of the present invention, the light parameters are parameters of one or more numerical types or interval types selected from brightness parameters, color temperature parameters, illuminance parameters, and light distribution parameters.

In a preferred technical solution of the present invention, the scene updating step includes: a parameter fixing step of fixing at least a part of light parameters of at least a part of the light units according to the evaluation information. Fixing some light parameters of some light units and adjusting only some unsatisfactory parameters can improve the fine-tuning efficiency.

In a preferred technical solution of the present invention, the customization method further includes a parameter saving step, which saves the optical parameters of at least a part of the optical units. Preferably, the adjusted light parameters of the light unit are saved. By saving the parameters modified each time, the user can return to the original parameters set before several steps during the parameter adjustment process, or perform the next parameter adjustment based on the original parameters, which further improves the efficiency of parameter modification.

The present invention also provides a system for customizing a light scene, wherein one or more light units are configured in the light scene, and the customizing system includes: a scene generation module configured to load randomly generated light parameters into the light units; a scene update module , which is used to adjust the light parameters of at least a part of the light units according to the user's evaluation information on the current light scene.

Description of drawings

1 is a schematic structural diagram of a system in Embodiment 1 of the present invention;

2 is a schematic flowchart of a custom method in Embodiment 1 of the present invention;

3 is a schematic flowchart of a custom method in Embodiment 2 of the present invention;

FIG. 4 is a schematic flowchart of the customization method in Embodiment 3 of the present invention.

Reference numerals: 1. computing device, 10, memory, 101, scene generation module, 102, evaluation information analysis module, 103, scene update module, 11, processor, 12, input port, 13, output port, 2, light The control part, 30, the light unit.

Detailed ways

Hereinafter, preferred embodiments of the present invention will be roughly described with reference to the accompanying drawings. In addition, the embodiments of the present invention are not limited to the following embodiments, and various embodiments within the scope of the technical idea of the present invention can be employed.

It should be noted that, unless otherwise stated, the term "randomly generated" used in the following embodiments refers to a data generation method in which any value within a certain range has substantially the same probability of being generated in a large number of repeated events. A "randomly generated" random number can be a true random number generated by a physical process or a pseudorandom number generated by a computer program. As long as the law of data generation is complex enough that ordinary users cannot perceive the law of generation.

Example 1

This embodiment first provides a method for customizing a personalized light scene, and the customization method is used to control a plurality of light units 30 in the light scene, so that the obtained light scene is more in line with the user's personal preference.

The light unit 30 in this embodiment may be selected from the group consisting of incandescent lamps, decorative incandescent lamps, enclosed bulbs, infrared bulbs, halogen bulbs, fluorescent lamps, fluorescent lamps, sodium lamps, xenon lamps, ceiling lamps, chandeliers, ceiling lamps, absorbing Ceiling light, recessed ceiling light, wall light, wall hanging light, wall hanging light, table light, floor light, street light, garden light, door light, flashlight, pocket light, portable light, searchlight, spotlight or any other suitable controllable light source. one or a combination of several. The light unit 30 in this embodiment can also be any suitable controllable light source mentioned above, as well as any suitable uncontrollable light source such as natural light source, candle, oil lamp, and accessories that can change the lighting state of the light source, such as controllable blinds, lamp shades, Combinations between baffles, etc. In addition, the light unit 30 in this embodiment may also be a controllable module or component in any one or more of the above-mentioned lamps or accessories.

In order to control multiple light units 30, in the prior art, if a user needs to customize a personalized light scene, the light parameters of each light unit 30 need to be individually set. Only after the parameter settings of all the light units 30 are completed, the final generated light scene can be fully felt. However, for some non-professionals, the task of analyzing the parameters of the individual light units 30 to generate an ideal light scene is almost impossible. In order to facilitate ordinary users to customize the light scene more efficiently, the customization method provided in this embodiment does not require the user to consider the specific values of the light parameters, and only needs the user to subjectively evaluate the generated light scene during the customization process. Efficiently complete the personalized customization of light scenes, and obtain light scenes that are more suitable for users' personal preferences.

The method for customizing a light scene provided in this embodiment can run in the system shown in FIG. 1 . The system includes a computing device 1 , a light control unit 2 communicatively connected to the computing device 1 , and a plurality of light units 30 electrically connected to the light control unit 2 .

The computing device 1 may be a conventional computer system, an embedded controller, a laptop computer, a server, a mobile device, a smartphone, a set-top box, a kiosk, a telematics system, one or more processors 11 associated with the system, custom A machine, any other hardware platform, or a combination of the above computing devices. Computing device 1 may also be configured as a distributed system operating with multiple computing devices interconnected via a data network or bus system. The computing device 1 has an input port 12 , a processor 11 , a memory 10 , and an output port 13 communicatively connected to the light control unit 2 .

The input port 12 can receive user feedback evaluation information and control instructions; the input port 12 and the output port 13 can be configured to be coupled to one or more external devices, receive data from one or more external devices, and send them to one or more external devices. The input/output ports can be configured as any standard interface, such as Small Computer Interface (SCSI), Serial Attached SCSI (SAS), Fibre Channel, Peripheral Component Interconnect (PCI), PCI express (PCIe), serial bus, Advanced Technology Attachment (ATA), Serial ATA (SATA), Universal Serial Bus (USB), Thunderbolt, FireWire, various video buses, and the like. The input/output ports can be configured to implement only one interface or bus technology. Alternatively, the input/output ports may be configured to implement multiple interfaces or bus technologies. The input/output ports may be configured to operate as part of, all of, or in conjunction with the system bus. In some embodiments of the present invention, the input port 12 may also be configured to be connected with audio, video, or instruction input devices such as a camera, a microphone, a mouse, and a keyboard, so as to collect user evaluation information and control instructions.

The memory 10 is stored in the memory 10 readable by the processor 11: a) an evaluation information analysis module 102 capable of analyzing the evaluation information and determining the user's preference level for the current light scene; b) capable of determining the modulation strategy for the light control unit 2 according to the preference level The scene update module 103; c) the scene generation module 101 capable of generating random light parameters for each light unit 30 according to the type and adjustment range of the adjustable parameters of each light unit 30 . The memory 10 may comprise non-volatile memory such as read only memory (ROM), programmable read only memory (PROM), erasable programmable read only memory (EPROM), flash memory (FLASH) or capable of Any other device that stores program instructions or data without the application of electrical power. Memory 10 may also include volatile memory such as random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), and synchronous dynamic random access memory (SDRAM). Memory may also be implemented using other types of RAM. Memory 10 may be implemented using a single memory module or multiple memory modules. Although memory 10 is depicted as part of computing device 1, those skilled in the art will recognize that memory may be separate from computing device 1 without departing from the scope of the subject technology.

The processor 11 can load and execute the evaluation information analysis module 102 and the scene update module 103 , and send the processing result to the light control unit 2 via the output port 13 . The processor 11 may be a general purpose processor, processor core, multiprocessor, reconfigurable processor, microcontroller, digital signal processor (DSP), application specific integrated circuit (ASIC), graphics processing unit (GPU), field Programmable Gate Arrays (FPGAs), Programmable Logic Devices (PLDs), controllers, state machines, gated logic, discrete hardware components or any other processing unit and combinations of one or more of the foregoing processors.

In this embodiment, each light unit 30 is electrically connected to the light control unit 2 , and the light control unit 2 can control each light unit 30 independently. Each light unit 30 has its independently adjustable light parameters, and the optional independently adjustable light parameters include but are not limited to: switch state, brightness, color temperature, illuminance, light distribution, uniformity and the like of the light unit 30 . In this embodiment, in order to simplify the modulation of parameters such as brightness, color temperature, illuminance, light distribution, uniformity, etc., the light parameters may also be adjusted by changing between different intervals.

For example, in this embodiment, the adjustable range (2500K-6000K) of the color temperature parameter of the LED ceiling lamp as one of the light units 30 is configured into 7 intervals, which are interval 1 (2500K-3000K) and interval 2 (3000K). -3500K), interval 3 (3500K-4000K), interval 4 (4000K-4500K), interval 5 (4500K-5000K), interval 6 (5000K-5500K) and interval 7 (5500K-6000K). The interval-based parameter adjustment method can improve the adjustment efficiency of approximating the user's ideal light scene through the cooperation of coarse adjustment and fine adjustment.

In the process of switching between intervals, the value of the specific light parameter selected in the target interval can be obtained by random generation, or the endpoint value, center value or other suitable value of the target interval can be used. For example, when switching from interval 3 (3500K-4000K) to interval 5 (4500K-5000K), a specific color temperature value needs to be determined in interval 5 as a color temperature parameter for driving the light unit 30 . The determination of the specific color temperature value can be obtained by random generation, or the endpoint value (3500K, 4000K) or the center value (3750K) of the interval can also be selected.

After the user selects the ideal range of the light parameter, the specific value of the light parameter can be further fine-tuned within the ideal range. The fine-tuning of specific values can be accomplished by switching between sub-ranges. For example, when the user selects the ideal color temperature range as range 5 (4500K-5000K), the user can further switch between the five sub-ranges of range 5. The fine-tuning method is completed. For example, the 5 sub-intervals can be sub-interval 1 (4500K-4600K), sub-interval 2 (4600K-4700K), sub-interval 3 (4700K-4800K), sub-interval 4 (4800K-4900K), sub-interval 5 ( 4900K-5000K) setting method. For the switching mode between sub-intervals 1 to 5 and the selection mode of specific values, reference may be made to the switching and selection mode between sub-intervals 1 to 7, which will not be repeated here. Of course, if the user cannot obtain an ideal light scene in the sub-intervals 1-7, he can also return to the selection of the sub-intervals 1-5.

Referring to FIG. 2 , the method for customizing a light scene based on the above-mentioned system operation provided by this embodiment includes the following steps:

Scene generation step: load the randomly generated light parameters into the light unit 30 .

The scene updating step: adjusting the light parameters of at least a part of the light units 30 according to the user's evaluation information on the current light scene.

Wherein, the scene generation step specifically includes the following steps: first, the computing device 1 receives the user's command for starting the personalized customization process through the input port 12 or a video, audio or instruction input device coupled with the input port 12; in response to the input port 12 After receiving the personalized customization command from the user, the processor 11 loads the scene generation module 101 stored in the memory 10, generates a random number that conforms to its adjustable parameter type and adjustment range for each light unit 30, and assigns the corresponding light After that, according to the optical parameters generated for each optical unit 30, a setting instruction is generated, and the setting instruction is sent to the optical control part 2 through the output port 13; the optical control part 2 receives the setting instruction, and randomly The generated light parameters are loaded into the driving unit of each light unit 30 to control the light state of each light unit 30 to generate a random initial light scene.

In this embodiment, the generation range of the random number corresponds to the maximum adjustable range of the light parameters of the light unit 30. For example, the brightness of the light unit 30 can be adjusted within 1-10 steps, and the random number is correspondingly within the range of 1-10. Randomly generated from any integer of .

After the scene generation step is completed, turning to the execution scene update step, the processor 11 of the computing device 1 loads the scene update module 103 in the memory 10 . The scene update step specifically includes the following steps:

Evaluation obtaining step: obtaining user evaluation information on the current light scene.

After completing the generation of the random initial light scene, the user can evaluate the initial light scene. The evaluation information may be instruction information actively input by the user via the electronic device, or may be information such as the user's voice, actions, expressions, etc. captured by the video or audio input device coupled with the input port 12 . In this embodiment, the user can make an evaluation between "like" or "dislike" through the buttons of the remote control device.

The preference analysis step: according to the evaluation information, determine the user's preference for the current light scene.

If the preference degree is not higher than the preset value, in this embodiment, that is, when the user selects "dislike", execute:

In the random update step, at least a part of the light parameters of at least a part of the light units 30 are randomly generated and loaded. In this embodiment, the random update step can randomly set all the optical parameters of all the optical units 30. In other embodiments of the present invention, the random update step can also controllably or uncontrollably select parts of some optical units 30 The light parameters are updated.

If the preference degree is higher than the preset value, in this embodiment, that is, when the user selects "like", the customization process of the personalized light scene ends.

In the above manner, the user can efficiently complete the personalized customization of the light scene without considering the specific value of the light parameter, and only make a subjective evaluation in the customization process.

It should be noted that, although in this embodiment, the light scene is configured to have multiple light units 30 , those skilled in the art can understand that the above technical solution can also be used in the case where only a single light unit 30 exists , the light unit 30 is not limited to exist in a controllable light source, a combination between an uncontrollable light source and a controllable accessory, a control module for a controllable light source, a control assembly for a controllable accessory, or any other suitable form.

Embodiment 2

This embodiment further provides a method for customizing a personalized light scene. The customization method can be run based on the system provided in the first embodiment. Referring to FIG. 3 , the method for customizing a personalized light scene includes the following steps:

Scene generation step: load the randomly generated light parameters into the light unit 30 .

The scene updating step: adjusting the light parameters of at least a part of the light units 30 according to the user's evaluation information on the current light scene.

Wherein, the scene updating step in this embodiment is different from that of the first embodiment, and the scene updating step in this embodiment specifically includes:

Evaluation obtaining step: obtaining user evaluation information on the current light scene.

In some embodiments of the present invention, the input port 12 can obtain the user's evaluation information on the current light scene through the coupling with the user's electronic device or the coupling with the video and audio input devices, and send the evaluation information to processor 11. In this embodiment, a microphone is coupled to the input port 12, and the user's voice information is received as the user's evaluation information. For example, the evaluation information can be positive evaluations such as "good", "like", "good", etc., or it can be "too harsh", "not soft enough", "a bit whitish", "flickering eyes" and other implicit target adjustments For improved evaluation of parameter information, evaluation information can also be completely negative evaluations such as "terrible", "not good", "dislike", etc. In some embodiments of the present invention, the memory 10 of the computing device 1 further has a voiceprint recognition module, which can recognize the user's identity according to the user's voice information, so as to recommend light scenes to the user according to the user's personal profile.

In some other embodiments of the present invention, the input port 12 can also obtain the user's evaluation information on the current light scene through coupling with the touch screen device of the user's mobile device. For example, the words "a little", "very", "too" and other words indicating the degree and "bright", "yellow" and other words implying the target adjustment parameter information can be displayed on the touch screen for the user to select in combination to obtain the user evaluation information.

In some embodiments of the present invention, the input port 12 may also be connected with one or more camera devices. The camera device captures user image information in the target area and sends it to the processor through the input port 12 for evaluation information analysis. The user image information can be the user's face image, the user's body movement image, the user's location information, or other suitable image information related to the user, as long as the user's preference for the current scene can be analyzed accordingly. degree. The camera device may be installed inside the light scene or outside the light scene, or may be a camera of a mobile device, such as a camera device of Google Glass, to dynamically capture the user's eye movement information.

Preference analysis step: according to the evaluation information, determine the user's preference for the current lighting scene.

In this embodiment, the processor 11 loads the evaluation information analysis module 102 stored in the memory 10 to analyze the preference degree information included in the evaluation information.

If the degree of preference determined according to the evaluation information is higher than the preset value, for example, the received evaluation information is a positive type of evaluation information such as "good", "like", "good"; or no evaluation information has been received within the preset time. , and when the current preference level is close to the preset value, for example, the user has previously made a gentle evaluation message such as "a little bit white" and contains the target adjustment parameter information, but after the system has slightly lowered the color temperature, it has not been received. When the user's evaluation information is reached, at least in the above two situations, the personalized customization is ended. The above judgment method is more in line with the user's usage habits and improves the user's usage experience.

In this embodiment, the preference degree may be a numerical parameter comprehensively generated according to user feedback in the customization process and current user evaluation information; it may also be a Boolean parameter generated according to current user evaluation information.

In this embodiment, if the degree of preference determined according to the evaluation information is not higher than the preset value, the received evaluation information is completely negative evaluation information such as "terrible", "not good", "dislike", or received When the received evaluation information is "too dazzling", "not soft enough", "a little whitish", "flickering eyes" and other improved types of evaluation information, the target parameters can be determined to improve the customization efficiency.

The target parameter determination step: if the preference degree is not higher than a preset value, determine whether the evaluation information includes the target parameter.

In this embodiment, the evaluation information is the user's voice information, and the evaluation information analysis module 102 is a semantic recognition module related to optical technology. The semantic recognition module stores common light-related fields, such as "bright", "dark", "glare", "soft", "even", "flickering", etc., which can match the user's voice information, according to the matching As a result, the actual needs of the user for light adjustment are determined. For some non-professional ordinary users, after experiencing the current light scene, although they can know their own experience with the light, they are not clear about the target parameters that need to be adjusted in order to improve the experience, let alone how to pass the specific light. Numerical adjustment precisely achieves the improvement of the experience. The semantic recognition module in this embodiment can help users to discover their own needs, and extract their implicit target adjustment parameters and adjustment trends from the evaluation information with subjective content reflected by the user, and then convert them into real and practical parameters that can be converted by the light control unit 2 Executed control commands.

In other embodiments of the present invention, the evaluation information may also be other types of information, such as image information shot at the user's face, and the evaluation information analysis module 102 may be a , identify the user's preference for the user scene, and the expression recognition method can more quickly complete the switching between random light scenes.

If the evaluation information does not contain the target parameters, for example, when the aforementioned semantic recognition module receives voice information such as "terrible", "can't", "dislike", etc., execute:

In the random update step, at least a part of the light parameters of at least a part of the light units 30 are randomly generated and loaded. After that, go to the evaluation obtaining step, and obtain the user's evaluation information again. When users do not know their actual needs, they can quickly and randomly switch light scenes through negative types of evaluation information until they obtain a light scene that roughly matches their personal preferences, and then fine-tune it, improving the efficiency of the personalized customization process.

The step of determining the adjustment direction: if the evaluation information includes the target parameter, determine whether the evaluation information includes the adjustment direction for the target parameter.

In the step of random adjustment of the target parameter, if the evaluation information does not include the adjustment direction, assign the target parameter with a randomly generated value; If it is negative, but the evaluation information of the adjustment direction is not involved, the target parameter can be assigned with a randomly generated value.

In the directional adjustment step of the target parameter, if the evaluation information includes the adjustment direction, the target parameters of at least a part of the light units 30 are adjusted and loaded according to the adjustment direction. After that, go to the evaluation obtaining step, and obtain the user's evaluation information again.

In this embodiment, the step of adjusting the directionality of the target parameter specifically further includes:

In the adjustment range determining step, the adjustment range of the target parameter toward the target direction is determined according to the evaluation information.

In some cases, the evaluation information also includes the information of the adjustment range. For example, when the user sends out the evaluation information of "too bright", it implies both the adjustment direction (the brightness needs to be lowered) and the adjustment range (the larger adjustment range is needed) ) information, at this time, through semantic analysis, the evaluation information analysis module 102 can determine that the user's requirement is that the brightness value needs to be greatly reduced, and then generates a corresponding instruction through the scene update module 103 .

In this embodiment, when the target parameter, the adjustment direction and the adjustment range are all determined, the scene updating module 103 can adjust the target parameter toward the target direction within the determined adjustment range. The specific value of the step size can be obtained by random generation. For example, when the overall brightness is randomly generated as interval 7 (interval 0-8 is adjustable), if the user's evaluation information of "too bright" is obtained, the target parameter (brightness), adjustment direction (lower), adjustment range (large, "Too" corresponds to a step size greater than 5 intervals) has been determined through semantic analysis, and the scene update module 103 can adjust the brightness to a random interval within the range of interval 0-2.

In this embodiment, both the target parameter determination step and the adjustment direction determination step are completed through the semantic recognition process of the evaluation information analysis module 102 . Some other user instructions in the adjustment process can also be completed through the semantic recognition process of the evaluation information analysis module 102. For example, in some situations, the user finds that the fine-tuning operation cannot make the fine-tuning operation in the process of fine-tuning the optical parameters of the light unit. When a satisfactory light scene is obtained, and an instruction such as "redo" is issued, the evaluation information analysis module 102 can also recognize the instruction, and go to the execution of the random update step or the scene generation step.

In some embodiments of the present invention, the customizing method further includes a parameter saving step of saving light parameters of at least a part of the light units. Preferably, the adjusted light parameters of the light unit are saved. For example, during the random adjustment of some parameters, if an instruction is received that the user is not satisfied with the results of the random adjustment, since the parameters modified during the adjustment process are all saved, the user can return the dissatisfied parameters to the previous steps The set original parameters, or the next step of parameter adjustment based on the original parameters, further improves the efficiency of parameter modification.

In the above manner, the customization method provided in this embodiment can make the user avoid setting specific numerical values in the process of customizing the light scene, and only need to make his subjective judgment, which reduces the need for ordinary users to customize the process. The amount of operations required and the difficulty of operation are improved, and the user experience is improved. And the customization process can adjust specific parameters in specific directions and specific amplitudes. Through the cooperation of coarse adjustment and fine adjustment, combined with multiple random switching of lighting scenes, light scenes that meet the user's personal preferences can be quickly and effectively obtained.

Embodiment 3

This embodiment provides a customizing method for a personalized light scene. The customizing method can be run based on the system provided in the first embodiment, and the specific steps of the customizing method are different from those in the second embodiment. One of the differences is that the customization method provided in this embodiment saves the personalized customized light scene completed by the user.

4, specifically, after the preference analysis step is completed, if the degree of preference determined according to the evaluation information is higher than the preset value; or the evaluation information is not received within the preset time, and the current degree of preference is close to the preset value. , execute the scene saving step, and save the light parameters of each light unit 30 .

In this embodiment, the memory 10 of the system is set in a server separate from the computing device 1. In the scene saving step, the user information of the user is associated with the set of optical parameters and then uploaded to the server. Or, the server associates the user's personal profile with the uploaded tag information of the optical parameter. In some embodiments of the present invention, the server may also predict the user's personal preference by analyzing the saved personal profile of the user and the feature information extracted from the light parameters. Collecting scenes set by many users and classifying them according to different labels can also recommend the same or similar light scenes for customers of the same category, improving the accuracy of predicting users' personal preferences.

In this embodiment, the memory 10 further has a scene recommendation module, which can perform a scene recommendation step, and load the light parameters downloaded from the server to the light unit 30 to recommend light scenes to the user.

When entering the personalized customization process, the scene recommendation step or the scene generation step can be performed according to the user's selection. The scene recommendation step can download all optical parameters of all optical units from the server, and then go to the evaluation acquisition step; the scene recommendation step can also download all optical parameters of some optical units, some optical parameters of all optical units, or some optical units from the server. part of the light parameters, and go to the scene generation module to randomly generate the light parameters of the light unit obtained without downloading, and then go to the evaluation acquisition step after loading.

In some embodiments of the present invention, when the server has a certain amount of preference data in the user's storage directory, the scene recommendation module can directly download the parameter settings saved by the user from the server. When the server has less data content in the storage directory , the parameter settings of other users of the same category can be integrated to recommend light scenes to the user.

In addition, in the evaluation obtaining step of this embodiment, if the obtained evaluation information is a positive evaluation for the light parameters of a specific light unit 30, for example, “the chandelier is no problem”; A positive evaluation, such as "brightness is OK"; or a positive evaluation for a specific light parameter of a specific light unit 30, such as "chandelier brightness is OK", the light parameter of the light unit corresponding to the positive evaluation is fixed. In the random update step, only the light parameters of the light units that are not fixed will be updated to improve the customization efficiency. It should be noted that the parameter fixing step can permanently fix the value of a certain optical parameter during the parameter adjustment process, or can fix the value of a certain optical parameter in a non-permanent manner. When the value of the optical parameter is not satisfied, an instruction can be sent to cancel the fixation of the optical parameter, so as to improve the user's freedom of operation and improve the user experience.

So far, the technical solutions of the present invention have been described with reference to the accompanying drawings, but those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims (17)

1. A method of customising a personalised light scene, the light scene having one or more light units arranged therein, the method comprising the steps of:

a scene generation step of loading the randomly generated optical parameters to the optical unit;

and a scene updating step, namely adjusting the optical parameters of at least one part of the light units according to the evaluation information of the user on the current light scene.

2. The customization method according to claim 1, wherein the scene update step comprises:

a preference analysis step: and determining the preference degree of the user to the current light scene according to the evaluation information.

3. The customization method of claim 2, further comprising:

and a scene saving step of saving the optical parameters of the optical unit if the preference degree is higher than a preset value or if the evaluation information is not received within a preset time.

4. The customization method according to claim 3, wherein in the scene saving step, the optical parameters are uploaded to a server and saved in association with user information of the user.

5. The customization method according to claim 4, further comprising:

and a scene recommending step of loading the optical parameters downloaded from the server to the optical unit.

6. The customization method according to claim 2, wherein the scene updating step comprises the steps of:

and determining target parameters, namely determining whether the evaluation information comprises the target parameters or not if the preference degree is not higher than a preset value.

7. The customization method according to claim 6, wherein the scene updating step comprises:

if the evaluation information does not include the target parameter, executing

And a random updating step, wherein at least a part of optical parameters of at least a part of the optical units are randomly generated and loaded.

8. The customization method according to claim 6, wherein the scene updating step comprises the steps of:

and an adjusting direction determining step of determining whether the evaluation information includes an adjusting direction of the target parameter if the evaluation information includes the target parameter.

9. The customization method according to claim 8, wherein the scene update step comprises:

and a target parameter random adjustment step, wherein if the evaluation information does not include the adjustment direction, the target parameter is assigned and loaded by a randomly generated numerical value.

10. The customization method according to claim 8, wherein the scene update step comprises:

and adjusting the target parameter directionality, namely adjusting and loading at least one part of the target parameters of the light units according to the adjusting direction if the evaluation information comprises the adjusting direction.

11. The customization method according to claim 10, wherein the target parameter directionality adjustment step comprises:

an adjustment amplitude determining step of determining an adjustment amplitude of the target parameter toward a target direction according to the evaluation information;

in the target parameter directivity adjustment step, the target parameter is adjusted within the determined adjustment range.

12. The customizing method according to claim 10 or 11, wherein in the target parameter directivity adjusting step, the target parameter is adjusted in steps generated randomly.

13. A customisation method according to any one of claims 2 to 12, characterised in that in the preference analysis step the degree of preference of the user for the current light scene is determined at least partly on the basis of a semantic recognition method or an expression recognition method.

14. The customization method according to any one of claims 2-12, wherein the scene update step comprises:

a parameter fixing step of fixing at least a part of the optical parameters of at least a part of the optical units based on the evaluation information.

15. The customization method according to any one of claims 1-12, wherein the light parameter is a numerical type or interval type parameter selected from one or more of a brightness parameter, a color temperature parameter, an illuminance parameter, and a light distribution parameter.

16. The customization method according to any one of claims 1-12, further comprising

A parameter saving step of saving optical parameters of at least a part of the optical units.

17. A system for customizing a light scene having one or more light units disposed therein, the system comprising:

a scene generation module configured to load randomly generated light parameters to the light units;

and the scene updating module is used for adjusting the light parameters of at least one part of the light units according to the evaluation information of the user on the current light scene.

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